1. A cable tunnel running state evaluation method based on multi-source information is characterized in that: the method comprises the following steps:

s01), determining a cable tunnel state evaluation index system, analyzing the failure reason and mechanism of the cable tunnel, selecting characteristic quantities capable of reflecting real-time changes of the cable tunnel, and establishing a cable tunnel state fuzzy comprehensive evaluation index system;

s02), determining a cable tunnel evaluation factor set, dividing the cable tunnel running state evaluation into three layers, namely an evaluation target layer reflecting the final state of the cable tunnel, a standard layer divided according to different types of data and a characteristic quantity index layer related to state evaluation, decomposing the target layer of the cable tunnel comprehensive state into 3 evaluation items in the standard layer, and evaluating the evaluation item B₀As the state quantity of the cable tunnel one-ticket rejection, if the abnormal condition is detected, the direct output is seriously overhauled immediately, and the item B is judged₁For the cable body running state layer, item B is judged₂For the tunnel environment status layer, item B is judged₁And the evaluation item B₂Taking part in the evaluation of the state, i.e. the actual purposeThe standard layer factor set is A ═ B₁,B₂The index layer under the criterion layer is B₁＝{C₁₁,C₁₂,C₁₃,C₁₄},B₂＝{C₂₁,C₂₂,C₂₃,C₂₄,C₂₅}，C₁₁,C₁₂,C₁₃,C₁₄Respectively the service life of the cable, the surface temperature of the cable, the ground current and the partial discharge, C₂₁,C₂₂,C₂₃,C₂₄,C₂₅Tunnel temperature, tunnel humidity, tunnel water level, oxygen concentration and concentration of flammable and explosive gases respectively;

s03), establishing an evaluation set of comprehensive evaluation, and dividing the cable tunnel state into 4 grades of normal, attention, abnormal and serious, wherein the evaluation set comprises the following steps: r ═ R₁,r₂,r₃,r₄{ normal, note, abnormal, severe };

s04), determining a state membership function of the evaluation index;

s05), determining a fuzzy comprehensive evaluation matrix,

judge item B₁The evaluation matrix of (a) is:

judge item B₂The evaluation matrix of (a) is:

evaluating each factor in the matrix as the membership degree of each index calculated by using a membership degree function;

s06), determining the weight W of the evaluation index by combining the analytic hierarchy process and the entropy method to obtain a comprehensive weight vector W of the evaluation index, wherein W is (W ═₁,…,w_i,…w_n) N is the index number of the index layer;

s07), cable tunnel state evaluation, namely, evaluation characteristic weight vector W and phase of each component unit of the cable tunnelCorresponding eigenvector index state matrix V_xPerforming operation to obtain a fuzzy membership vector A of the operation state of each component of the cable tunnel_xRespectively obtaining fuzzy state evaluation vectors A of the cable body and the cable environment by the same method₁、A₂；

S08), calculating the cable tunnel state membership degree vector, and calculating the state membership degree vector A of each unit of the cable tunnel₁，A₂Respectively normalized A₁′，A₂', the fuzzy evaluation state matrix A of each unit of the cable tunnel is formed, the weight vector P of each unit of the cable in the overall state evaluation of the cable tunnel is obtained according to the method of evaluating the factor weight vector by the analytic hierarchy process, and the overall state membership degree vector of the cable tunnel is as follows:

the method comprises the steps that a fuzzy synthesis operator is used, which numerical value is the largest according to the maximum membership principle, the cable tunnel is correspondingly judged to be normal, attention, abnormal and serious, and the state grade of the cable tunnel is evaluated and calculated;

s09), outputting the evaluation result comprising the target layer and the criterion layer, and giving out the inspection opinion according to the evaluation result.

2. The method for evaluating the operating state of the cable tunnel based on the multi-source information according to claim 1, wherein: the method comprises the steps of establishing a state membership function of an evaluation index by adopting a fuzzy stepping method, fuzzifying the selected evaluation index, selecting a membership function of a distribution function combination of a ridge-shaped and semi-trapezoidal ridge-shaped combination aiming at each evaluation index except the service life of a cable in an index system, and using a membership function following a bathtub curve aiming at the service life of the cable of the evaluation index.

3. The multisource information-based cable tunnel running state evaluation method of claim 1, characterized in that: the process of determining the weight by combining the analytic hierarchy process and the entropy value process is as follows:

firstly, determining the weight w' of an evaluation index by using an entropy method, specifically:

collecting data of an index layer of a cable tunnel at a certain time interval, and collecting k indexes of n indexes to obtain an original index data matrix X ═ (X)_ij)_n×k；

Carrying out nonnegativity treatment and heterogeneous index homogenization treatment on the original index data matrix to obtain a treated matrix

Calculating the information entropy of each index as E₁，E₂,…,E_kAnd calculating the weight of each index through the information entropy:i.e. w ═ w'₁,w′₂,…,w′_n)^TW' is the weight adjusted by the entropy weight method;

then, determining the weight w' of the evaluation index by using an analytic hierarchy process, specifically:

establishing a comparison and judgment matrix, wherein the comparison and judgment matrix is obtained by comparing the relative importance degree of every two index indexes of the level relative to the evaluation index of the previous level, and is used for influencing the index y of the target_iAnd y_jIn (b)_ijTo represent y_iAnd y_jThe influence degree of the ratio on the target, n compared indexes form a judgment matrix B which is compared pairwise,

wherein n is the order of the matrix V, n compared indexes form a judgment matrix B which is compared pairwise, and the positive and negative matrixes of the matrix B are taken as the judgment matrix of the final structureAn array having b_ij＞0，b_iiThe characteristic of 1(i, j is 1,2, …, n) is that the cable body and the tunnel environment are the objects of study, and the judgment matrix constructed is B₁，B₂；

According to the matrix theory, the weight coefficient of each index is the eigenvector w' of the judgment matrix, and the maximum eigenvalue lambda of the corresponding matrix_maxThe characteristic vector and the characteristic value are obtained according to the sum method of the analytic hierarchy process, each column vector of each element of the judgment matrix B is normalized,b_ijto affect the ratio of the target i and j indices, the normalized matrix is added to the normalized rows to obtain W ″ (W ″)₁″,W″₂,…,W″_n)^TThen the vector W' is normalized, i.e.Obtain the characteristic vector w ″ (w ″)₁,w″₂,…,w″_n)^TW 'is the weight of B, and the maximum eigenvalue corresponding to the eigenvector w' is obtained, i.e.Index of consistencyn is the order number of the judgment matrix, and the average random consistency index R of the corresponding order number n is found out_ICalculating the consistency ratioWhen CR is reached<When 0.1, the consistency is checked, otherwise, B is corrected; and finally, calculating the comprehensive weight, specifically:

by entropy weightAnd the weights of all indexes obtained by the analytic hierarchy process are W 'and W', the evaluation index system matrix combines the results of the analytic hierarchy process and the entropy weight process to obtain a comprehensive weight vector W of the second-level index under each level of the first-level index, and W is equal to (W)₁,…,w_i,…w_n)，

Wherein, w'_iDynamic objective weights, w ″, calculated for entropy weight method_iSubjective weights calculated for the analytic hierarchy process.

4. The multisource information-based cable tunnel running state evaluation method of claim 1, characterized in that: the index layer of the evaluation item B0 comprises abnormal camera setting, abnormal infrared thermal imager identification and infrared intrusion detection alarm.

5. The multisource information-based cable tunnel running state evaluation method of claim 3, characterized in that: methods for combining the weight W' obtained by the entropy method with the weight W ″ obtained by the analytic hierarchy method to form the integrated weight vector W include a power-average synthesis method, an optimization method, and a least-square method.

6. A zone control system, characterized by: the system is the evaluation item B in claim 1₀The actuating mechanism collects multi-source signals of the cable tunnel, monitors and alarms the accumulated water, fire, foreign matter invasion and equipment temperature abnormity of the cable tunnel in real time, directly determines the serious state of the cable tunnel as a result of the detection of the accumulated water, fire, foreign matter invasion and equipment abnormal heating, and outputs the serious condition for immediate maintenance;

the system comprises a main control module, a cable body monitoring subsystem, a tunnel environment monitoring subsystem, a video monitoring subsystem, an equipment linkage subsystem and a storage module;

the cable body monitoring subsystem comprises a sheath circulating current collecting terminal, a cable optical fiber temperature measuring terminal and a partial discharge collecting terminal which are respectively connected with the main control module, and is used for collecting parameters reflecting the state of the cable body and transmitting the parameters to the main control module; the environment monitoring subsystem comprises a temperature and humidity sensor, an oxygen sensor, a water level sensor, a toxic gas sensor and an infrared sensor which are respectively connected with the main control module, and is used for acquiring parameters of the tunnel environment of the reaction cable and transmitting the parameters to the main control module;

the video monitoring subsystem comprises an intelligent camera and a thermal infrared imager, the intelligent camera and the thermal infrared imager are connected with the main control module through a video analysis module, the intelligent camera is placed at a water collecting well, a tunnel entrance and a low-lying position where water is easy to accumulate, a model trained in advance is guided into the intelligent camera, the invasion of the accumulated water, smoke and foreign matters is monitored and identified in real time, the thermal infrared imager is placed at a cable joint and a key position where overheating and fire are easy to occur, temperature measurement and abnormal state diagnosis are carried out, and an infrared sensor is arranged below a well cover and used for monitoring the state of the well cover; the equipment linkage subsystem comprises a fan, a water pump and an alarm which are respectively connected with the main control module;

the storage module stores temperature, humidity, toxic gas and water level threshold values;

the main control module receives data of the cable body monitoring subsystem, the tunnel environment monitoring subsystem and the video monitoring subsystem in real time, and when the collected data exceed a threshold value or are abnormal, the linkage equipment is linked with the subsystems to give an alarm and perform corresponding processing.

7. The zone control system of claim 1, wherein: the regional control unit adopts an optical fiber ring network mode for networking in the cable tunnel and sends the networking to the monitoring background system through the switch.

Background

At present, the underground cable power supply mode gradually replaces the traditional overhead line power supply mode, and the scale of a power cable tunnel is rapidly increased. Although power cable tunnel can provide relatively stable, safe power supply environment, power cable moves in the underground throughout the year, and long-term operation is in sealed, moist environment, when meetting the power consumption load aggravation or rainfall, often can arouse accidents such as fire incident or electric power short circuit trouble, influences the power supply reliability, receives the environmental restriction simultaneously, tunnel internal environment is very abominable when taking place the calamity, can also lead to the fact personal safety to salvage personnel and threaten. Therefore, in order to ensure the safe operation of the power equipment and reduce the maintenance cost, the cable tunnel state monitoring and state evaluation are applied to the operation and maintenance of the cable tunnel, and the method has very important significance.

At present, the operation and maintenance work of a power cable tunnel is always in a development stage, currently, tracking monitoring is mainly performed on a single state of a cable tunnel body and an environment, when an operation state exceeds a set standard value, alarm information of different levels is given, operation and maintenance personnel fill a power cable evaluation table, power cable state scores are calculated according to expert experience and a power cable evaluation standard to judge the cable state, and a corresponding processing principle is selected according to the cable state. The method excessively depends on expert experience, wastes manpower and material resources, is inflexible in calculation method, and is difficult to ensure the running reliability of equipment.

With the continuous optimization and application of the comprehensive state evaluation method, the comprehensive state evaluation method based on state monitoring and fault diagnosis is gradually applied to the cable tunnel, the method does not depend on calculation of operation and maintenance personnel, the working strength of the operation and maintenance personnel can be effectively reduced, and the operation state of the cable can be quickly responded. Although various cable monitoring and detecting methods are developed in the aspect of power cable detection, the existing comprehensive state evaluation of the cable tunnel is still in search accumulation, and the following defects mainly exist: if the monitoring state data is not perfect enough, besides considering the state of the cable body, monitoring and evaluation of the tunnel environment state are required to be added, such as toxic gas, accumulated water, smoke and the like; useful information is not fully mined from existing state data, equipment test data is emphasized, operation information is less concerned, state evaluation timeliness is poor, and the state maintenance management requirements which become increasingly lean cannot be met. The weight distribution in the comprehensive state evaluation is not flexible enough, and the dynamic distribution can not be carried out according to the application result; effective relation is not established without comprehensively considering qualitative evaluation factors and quantitative evaluation factors, and unified relation between the cable state and the characteristic parameter state is lacked. Most of the cable tunnel comprehensive state methods are complex in evaluation process and not visual in conclusion, and the operation and maintenance guidance basis needs to be further optimized. Some state change process quantities are not fully extracted, especially the change quantity of the key state quantity of the cable body, the state of the cable body can effectively reflect the healthy change trend of the cable, and faults can be effectively avoided by timely troubleshooting during regular inspection.

Disclosure of Invention

Aiming at the defects of the prior art, the invention provides a cable tunnel running state evaluation method and a regional control system based on multi-source information, solves the problems that the prior art lacks a complete cable tunnel state maintenance evaluation method and an index system, establishes a state evaluation model based on the multi-source information, and has good real-time performance and universality.

In order to solve the technical problem, the sampling technical scheme of the invention is as follows: according to the method, multi-source information data of a cable tunnel are fully mined, cable body state data and environment state information are combined, video data for monitoring water accumulation, smoke and foreign matter invasion of the cable tunnel are introduced, the safety of a cable operation environment is guaranteed on the premise that the safe operation of a power cable is guaranteed, and the application of a thermal infrared imager to automatically identify the temperature abnormality of a cable joint is provided. The method combines an analytic hierarchy process and an entropy weight process to determine the weight value of the fuzzy evaluation method. And the state data of the cable body is fully mined, the key state change is brought into comprehensive judgment, and the abnormal state of the cable is found in time. Once the abnormity is found, the system automatically sends an alarm to the cable operation monitoring center to remind operation and maintenance personnel to overhaul and eliminate the defect, so that the mode of manual regular fixed-point inspection is thoroughly changed.

The method comprises the following steps:

s01), determining all levels of evaluation indexes reflecting the operation condition of the cable tunnel, and constructing a cable tunnel comprehensive evaluation index system;

s02), acquiring relevant operation data of the cable tunnel real-time monitoring equipment according to the cable tunnel comprehensive evaluation index system, wherein the relevant operation data comprises the cable tunnel environment state, the cable body state and video analysis data (accumulated water, smoke and invasion);

s03), determining a factor set and an evaluation set of comprehensive evaluation and membership function values of each state according to the state characteristics;

s04), determining the weight by combining an analytic hierarchy process and an entropy method based on the established cable tunnel comprehensive evaluation index system;

s05), establishing a comprehensive evaluation model of the cable tunnel by using a fuzzy comprehensive evaluation method to obtain a comprehensive evaluation result;

s06), determining the cable tunnel evaluation result, and giving out maintenance suggestions according to the evaluation result.

The invention also discloses a regional control system, wherein the cable tunnel regional control unit monitors the temperature and humidity of the tunnel and the concentration of harmful gas in real time, and performs intelligent linkage control with the fan in the cable tunnel, when the temperature and humidity are detected to be overhigh or the concentration of the harmful gas reaches or exceeds a threshold value, the regional control unit triggers an alarm and automatically starts the fan to exhaust, when the temperature and humidity and the concentration of the harmful gas are lower than the threshold value, the alarm is stopped, the fan is automatically closed, a working log is generated, and the start-stop state of the fan can be accessed to the regional control unit through the start-stop node to monitor the start-stop state of the fan.

Further, regional control system utilizes intelligent camera to carry out cable tunnel video data and handles the analysis in situ, inside camera module and the intelligent processing module of video of having integrateed of intelligent camera, ponding that will train, smog, during the leading-in intelligent camera of foreign matter invasion identification model, use intelligent camera to cable tunnel ponding, smog, the foreign matter invasion carries out real-time supervision and discernment, with identification result and real-time video signal access cable tunnel regional control unit, if detect the foreign matter invasion, report to the police through regional control unit, and linkage audible-visual annunciator.

Further, but cable tunnel regional control system real time monitoring tunnel ponding state sets up the fluviograph at the sump pit, the low-lying department of easy ponding sets up intelligent camera, real-time identification cable tunnel ponding, when ponding is discerned to the water level that the fluviograph was measured surpasss the setting value or intelligent camera, trigger the warning, and carry out the drainage operation through regional control unit linkage water pump, the node access regional control unit is opened to the state accessible that opens of water pump, open to stop the water pump and open the state and monitor.

Furthermore, a video analysis module of the area control system can be connected with a thermal infrared imager, the thermal infrared imager is arranged at the position of the cable joint for monitoring the temperature of the cable joint in real time, the temperature information data collected in real time is uploaded to a video analysis module of the cable tunnel area control unit, the video analysis module calls a thermal imaging intelligent identification interface for real-time temperature analysis and dynamic fire point monitoring, and an alarm is given when the temperature is monitored to be overhigh or the fire point is monitored.

Furthermore, the regional control unit adopts an optical fiber ring network mode for networking in the cable tunnel, prevents any connecting line in the optical fiber network from being broken and prevents potential safety hazards caused by influencing one region in the connection, and the connecting line is sent to the monitoring background system through the switch to monitor each state of the cable tunnel in real time, so that the comprehensive state evaluation, data storage, history inquiry, trend display and regional control functions of the cable tunnel are realized.

The invention has the beneficial effects that: through each functional module, the functions of real-time monitoring, analysis and diagnosis of the environment state in the tunnel and the running state of the cable equipment can be realized. The cable tunnel regional control system can collect video monitoring data, thermal infrared imager, optical fiber temperature measurement, water level, harmful gas density, cable tunnel environment including cable grounding current and multi-source data of cable body state, and is linked with a fan, a water pump and an audible and visual alarm to perform regional control management. The abnormal state is found in time and is automatically solved, so that the operation burden of workers can be reduced, and the safe operation of the cable is guaranteed. Meanwhile, the cable tunnel area control system can realize the function of comprehensive state analysis, an entropy method and an analytic hierarchy process are introduced into the cable tunnel state evaluation, the cable tunnel comprehensive state evaluation method can effectively overcome the defects that the existing cable tunnel state evaluation method is complex and the conclusion is not visual, an accurate and visual state evaluation result is obtained, the objectivity of evaluation is improved, subjective interference is reduced, waste of manpower and material resources is reduced, the system performs comprehensive state analysis by adopting multi-source state data including switching value, analog value, digital value and video data, and comprehensive processing is performed by introducing state variable quantity, so that the safe and reliable operation of a power transmission system is ensured.

The improvement points of the patent relative to the prior art are as follows:

1) the existing cable state evaluation technology is mainly used for a transmission cable body, evaluation factors such as video, infrared and tunnel environment states are increased by combining device arrangement and data acquisition characteristics of comprehensive monitoring of a cable tunnel, comprehensive state analysis is carried out on multi-source state data including switching value, analog value, digital value and video data, and a fusion multi-source cable state evaluation method is established.

2) In order to make the evaluation result fully consider subjective and objective factors, the invention adopts an analytic hierarchy process and an entropy value process to determine the index weight. And correcting the weight of the evaluation index through the entropy weight to obtain objective index weight. The entropy weight reflects the difference degree of the index in different evaluation schemes, and effective information contained in objective data is disclosed. The analytic hierarchy process gives full play to subjective experience. The method determines the index weight according to the size of each index data information observed in different periods, so that the weight index is dynamically adjustable.

3) The comprehensive state evaluation algorithm is placed in a front-end tunnel region control unit, the cable tunnel region control unit is changed into an edge calculation device, the real-time state of the cable tunnel is analyzed in real time on site, comprehensive state evaluation of the cable tunnel is carried out, maintenance suggestions are given, and meanwhile the cable tunnel region control unit can judge whether devices such as a fan and a water pump in the tunnel are linked or not according to the states, so that the cable tunnel region control is realized, the fault state of the cable tunnel is rapidly processed, and the pressure of operation and maintenance personnel is reduced.

4) This patent proposes to utilize intelligent camera to carry out cable tunnel video data and handle the analysis on the spot, and during ponding, smog, the leading-in intelligent camera of foreign matter invasion identification model that will train, use intelligent camera to carry out real-time supervision and discernment to cable tunnel ponding, smog, foreign matter invasion, with identification result and real-time video signal access cable tunnel regional control unit.

5) At present, the cable tunnel adopts the optical fiber to wrap the cable joint for monitoring the temperature of the cable joint, a large amount of optical fibers need to be consumed, the process requirement is high, and meanwhile, the optical fibers are easy to break and cannot be bent excessively. This patent provides, sets up thermal infrared imager at the cable joint position and carries out cable joint temperature real-time supervision, gathers thermal imager temperature data in real time, uploads temperature information data to cable tunnel regional control unit's video analysis module, and video analysis module calls thermal imaging intelligent recognition interface, carries out real-time temperature analysis and dynamic fire monitoring.

Drawings

FIG. 1 is a flow chart of a method for evaluating the comprehensive status of a regional control unit according to the present invention;

FIG. 2 is a branch diagram of each layer of a hierarchical index system for cable tunnel evaluation;

FIG. 3 is a graph of a conventional state membership function distribution;

FIG. 4 is a graph of membership function distribution for cable life;

FIG. 5 is a layout diagram of a comprehensive state monitoring system for a cable tunnel;

fig. 6 is a system architecture diagram of a cable tunnel multi-source information processing area control unit.

Detailed Description

The invention is described in further detail below with reference to the figures and specific examples.

Example 1

The embodiment discloses a comprehensive state evaluation method based on a regional control unit, as shown in fig. 1, comprising the following steps:

s01), determining a cable tunnel state evaluation index system, analyzing the cable tunnel fault reason and mechanism, selecting characteristic quantities capable of reflecting real-time changes of the cable tunnel, and establishing a cable tunnel state fuzzy comprehensive evaluation index system as shown in figure 2. The indexes for reflecting the real-time running state of the cable mainly comprise: the surface temperature of the cable, the grounding current of the cable, the local discharge amount and the service life of the cable reflect the running condition of the cable body. The tunnel temperature, humidity, water level, oxygen concentration and concentration of flammable and explosive gases reflect the environmental conditions of the cable tunnel.

S02), determining a cable tunnel evaluation factor set, dividing the cable tunnel operation state evaluation into three layers, namely an evaluation target layer reflecting the final state of the cable tunnel, a standard layer divided according to different types of data and a characteristic quantity index layer related to state evaluationThe target layer of the comprehensive state of the cable tunnel is decomposed into 3 judging items in the criterion layer, and the judging item B₀As the state quantity of the cable tunnel one-ticket rejection, if the abnormal condition is detected, the direct output is seriously overhauled immediately, and the item B is judged₁For the cable body running state layer, item B is judged₂For the tunnel environment status layer, item B is judged₁And the evaluation item B₂Participating in state evaluation, namely, taking the actual target layer factor set as A ═ B₁,B₂The index layer under the criterion layer is B₁＝{C₁₁,C₁₂,C₁₃,C₁₄},B₂＝{C₂₁,C₂₂,C₂₃,C₂₄,C₂₅}，C₁₁,C₁₂,C₁₃,C₁₄Respectively the service life of the cable, the surface temperature of the cable, the ground current and the partial discharge, C₂₁,C₂₂,C₂₃,C₂₄,C₂₅Tunnel temperature, tunnel humidity, tunnel water level, oxygen concentration and concentration of flammable and explosive gases respectively;

s03), establishing an evaluation set of comprehensive evaluation, and dividing the cable tunnel state into 4 grades of normal, attention, abnormal and serious, wherein the evaluation set comprises the following steps: r ═ R₁,r₂,r₃,r₄{ normal, note, abnormal, severe };

s04), determining a state membership function of the evaluation index;

in the embodiment, a fuzzy stepping method is adopted to establish a state membership function of evaluation indexes, selected evaluation indexes are fuzzified, and a distribution membership function of a ridge-shaped and semi-trapezoidal ridge-shaped combination is selected for each evaluation index except the service life of a cable in an index system. The membership function shown in fig. 3 includes fuzzy tap intervals of 4 state classes, and membership functions of the state classes are established. The corresponding membership function of each state is respectively a formula (1-4), f_1～4(x) Denotes an evaluation set R ═ { R ═ R₁,r₂,r₃,r₄The corresponding membership function, x is the status quantity of each index, (c)₁,c₂,c₃) Is the threshold value of each state of the state layer, (a)₁,a₂,a₃,a₄) The different states can be adjusted according to their characteristics as the bisection point or equidistant point of the midpoint of each state threshold.

The faults in the service life of the power cable follow the bathtub curve, and the membership function after adjustment in the form of a distribution function of a combination of a ridge shape and a semi-trapezoidal ridge shape is shown in FIG. 4, wherein each coefficient is equal to (a)₁,a₂,a₃,a₄) The value taking method is the same, and the corresponding membership function of each state is respectively as follows:

s05), determining fuzzy comprehensive evaluation of each statePrice matrix, j evaluation index C for i criterion layer_ijEvaluation of Cable Tunnel State, x_ijAs an evaluation index C_ijCalculating the membership f of the evaluation index by the membership function₁(x_ij)、f₂(x_ij)、f₃(x_ij)、f₄(x_ij) Are respectively asThen the set of available membership degreesIndicates the index C_ijThe result of the evaluation of (1). The n evaluation indexes of the sub-criterion layer then form the evaluation matrix thereof.

Thus, item B is evaluated₁The evaluation matrix of (a) is:

judge item B₂The evaluation matrix of (a) is:

s06), determining the weight W of the evaluation index by combining the analytic hierarchy process and the entropy method to obtain a comprehensive weight vector W of the evaluation index, wherein W is (W ═₁,…,w_i,…w_n)；

The specific process of the step is as follows:

firstly, determining the weight w' of an evaluation index by using an entropy method, specifically:

collecting data of an index layer of a cable tunnel at a certain time interval, and collecting k indexes of n indexes to obtain an original index data matrix X ═ (X)_ij)_n×k；

Carrying out nonnegativity treatment and heterogeneous index homogenization treatment on the original index data matrix to obtain a treated matrixWherein the heterogeneous index homogenization treatment process comprises the following steps:

the formula for calculating the larger and better index is:

the formula for smaller and better indicators is:

calculating the information entropy of each index as E₁，E₂,…,E_kAnd calculating the weight of each index through the information entropy:i.e. w ═ w'₁,w′₂,…,w′_n)^TAnd w' is the weight adjusted by the entropy weight method.

Then, determining the weight w' of the evaluation index by using an analytic hierarchy process, specifically: and establishing a comparison and judgment matrix, wherein the comparison and judgment matrix is obtained by comparing the relative importance degree between every two index indexes of the level relative to the evaluation index of the previous level. In this embodiment, according to the multi-level index model, importance levels among indexes in a uniform level are compared according to a 9-level scaling method, and values are assigned to elements of the judgment matrix. Equal, slightly important, significantly important, very important and extremely important are represented by scales of 1, 3, 5, 7 and 9 respectively, while scales of 2, 4, 6 and 8 represent that the ratio of influence is between scales of 1, 3, 5, 7 and 9. At an index y affecting the target_iAnd y_jIn (b)_ijTo represent y_iAnd y_jThe influence degree of the ratio on the target, n compared indexes form a judgment matrix B which is compared pairwise,

wherein n is the order of matrix V, n compared factors form a judgment matrix B which is compared pairwise, the positive and negative matrix of matrix B is taken as the finally constructed judgment matrix, and the matrix has B_ij＞0，b_iiThe characteristic of 1(i, j is 1,2, …, n) is that the cable body and the tunnel environment are the objects of study, and the judgment matrix constructed is B₁，B₂；

According to the matrix theory, the weight coefficient of each index is the eigenvector w' of the judgment matrix, and the maximum eigenvalue lambda of the corresponding matrix_maxThe characteristic vector and the characteristic value are obtained according to the sum method of the analytic hierarchy process, each column vector of each element of the judgment matrix B is normalized,b_ijto affect the ratio of the target i and j indices, the normalized matrix by column is added to the normalized rows to obtain W ″ (W ″)₁,W″₂,…,W″_n)^TThen the vector W' is normalized, i.e.Obtain the characteristic vector w ″ (w ″)₁,w″₂,…,w″_n)^TW 'is the weight of B, and the maximum eigenvalue corresponding to the eigenvector w' is obtained, i.e.Index of consistencyn is the order number of the judgment matrix, and the average random consistency index R of the corresponding order number n is found out_ICalculating the consistency ratioWhen CR is reached<When 0.1, the consistency is checked, otherwise, B is corrected;

and finally, calculating comprehensive weight, wherein the weight reflects the occupied position and the role of each index in the comprehensive evaluation process, and the size of the weight directly influences the evaluation result. In order to make the evaluation result fully consider subjective and objective factors, the invention adopts an analytic hierarchy process and an entropy value process to determine the index weight. And correcting the weight of the evaluation index through the entropy weight to obtain objective index weight. The entropy weight reflects the difference degree of the index in different evaluation schemes, and effective information contained in objective data is disclosed. The analytic hierarchy process gives full play to subjective experience. The method determines the index weight according to the size of each index data information observed in different periods, so that the weight index is dynamically adjustable.

Aiming at the defects of a single evaluation method, the method combines and integrates an analytic hierarchy process and an entropy weight process, determines subjective weight by using the analytic hierarchy process, determines objective weight by using the entropy process, combines subjectivity and objectivity, makes up the defects of the single method, and integrates the advantages of the single method, thereby improving the accuracy of a weight evaluation result. The weights of all indexes obtained by an entropy weight method and an analytic hierarchy process are W 'and W', an evaluation index system matrix combines the results of the analytic hierarchy process and the entropy weight method to obtain a comprehensive weight vector W of a second-level index under each level of the first-level index, and W is equal to (W₁,…,w_i,…w_n)，

Wherein, w'_iDynamic objective weights, w ″, calculated for entropy weight method_iSubjective weights calculated for the analytic hierarchy process.

Methods for combining the weight W' obtained by the entropy method with the weight W ″ obtained by the analytic hierarchy method to form the integrated weight vector W include a power-average synthesis method, an optimization method, and a least-square method. The present embodiment employs a least squares method.

S07), evaluating the state of the cable tunnel, and tunneling the cable tunnelEvaluation characteristic weight vector W of each component unit and corresponding characteristic vector index state matrix V_xPerforming operation to obtain a fuzzy membership vector A of the operation state of each component of the cable tunnel_xRespectively obtaining fuzzy state evaluation vectors A of the cable body and the cable environment by the same method₁、A₂；

S08) and cable tunnel state membership degree vectors, and the evaluation characteristic weight vectors W of all the component units of the cable tunnel and the corresponding characteristic vector index state matrix V are operated to obtain fuzzy membership degree vectors A of the running states of all the components of the cable tunnel_x. Respectively obtaining fuzzy state evaluation vectors A of the cable body and the cable environment by adopting the same method₁，A₂。

WhereinIs a fuzzy synthesis operator. The states of the characteristic vectors are multiplied by the weights of the characteristic vectors, and then the maximum value is taken, so that index factors which play a main role in the running state of the cable tunnel can be highlighted.

S09), cable tunnel state membership degree vector

Membership degree vector A of each unit of cable tunnel₁，A₂Respectively normalized A₁′，A₂' the fuzzy evaluation state matrix A of each unit of the cable tunnel is formed. The weight vector P of each component unit of the cable in the evaluation of the overall state of the cable tunnel can be obtained according to the method of evaluating the factor weight vector by using the analytic hierarchy process of S07), so that the overall state membership degree vector of the cable tunnel is as follows:

and according to the maximum membership degree principle, which numerical value is the maximum, correspondingly judging the cable tunnel to be in the grades of 'normal', 'attention', 'abnormal' and 'serious', and evaluating and calculating the state grade of the cable tunnel.

S10), outputting the evaluation result comprising the target layer and the criterion layer, and giving out the inspection opinion according to the evaluation result.

In this embodiment, the item B is judged₀The index layer comprises abnormal camera, abnormal infrared thermal imager identification and infrared intrusion detection alarm. Adopt regional control unit to gather cable tunnel multisource signal, including digital signal such as humiture, gas density, the electric current, voltage analog signal, the camera, infrared intrusion detector and thermal infrared imager's video signal, wherein the camera, infrared intrusion detector and thermal infrared imager place at cable tunnel key position, to cable tunnel ponding, the conflagration, the foreign matter invasion, equipment temperature anomaly carries out real-time supervision and reports an emergency and asks for help or increased vigilance, in case ponding takes place, the conflagration, foreign matter invasion and equipment abnormal heating phenomenon, as "a vote", the serious state of cable tunnel is directly confirmed, export is seriously overhauld immediately.

Example 2

The embodiment discloses a regional control system, and a judgment item B₀The actuating mechanism collects multi-source signals of the cable tunnel, monitors and alarms the accumulated water, fire, foreign matter invasion and equipment temperature abnormity of the cable tunnel in real time, directly determines the serious state of the cable tunnel as a result of the detection of the accumulated water, fire, foreign matter invasion and equipment abnormal heating, and outputs the serious condition for immediate maintenance;

as shown in fig. 5 and 6, the system comprises a main control module, a cable body monitoring subsystem, a tunnel environment monitoring subsystem, a video monitoring subsystem, an equipment linkage subsystem and a storage module;

the cable body monitoring subsystem comprises a sheath circulating current collecting terminal, a cable optical fiber temperature measuring terminal and a partial discharge collecting terminal which are respectively connected with the main control module, and is used for collecting parameters reflecting the state of the cable body and transmitting the parameters to the main control module;

the environment monitoring subsystem comprises a temperature and humidity sensor, an oxygen sensor, a water level sensor, a toxic gas sensor and an infrared sensor which are respectively connected with the main control module, and is used for acquiring parameters of the tunnel environment of the reaction cable and transmitting the parameters to the main control module;

the video monitoring subsystem comprises an intelligent camera and a thermal infrared imager, the intelligent camera and the thermal infrared imager are connected with the main control module through a video analysis module, the intelligent camera is placed at a water collecting well, a tunnel entrance and a low-lying position where water is easy to accumulate, a model trained in advance is guided into the intelligent camera, the invasion of the accumulated water, smoke and foreign matters is monitored and identified in real time, the thermal infrared imager is placed at a cable joint and a key position where overheating and fire are easy to occur, temperature measurement and abnormal state diagnosis are carried out, and an infrared sensor is arranged below a well cover and used for monitoring the state of the well cover;

the equipment linkage subsystem comprises a fan, a water pump and an alarm which are respectively connected with the main control module;

the storage module stores temperature, humidity, toxic gas and water level threshold values;

the main control module receives data of the cable body monitoring subsystem, the tunnel environment monitoring subsystem and the video monitoring subsystem in real time, and when the collected data exceed a threshold value or are abnormal, the linkage equipment is linked with the subsystems to give an alarm and perform corresponding processing.

The following is a detailed description of each module:

the cable tunnel area control unit monitors the temperature and the humidity of the tunnel and the concentration of harmful gas in real time, intelligent linkage control is carried out on the temperature and the humidity and the concentration of the harmful gas with a fan in the cable tunnel, when the temperature and the humidity are detected to be too high or the concentration of the harmful gas reaches or exceeds a threshold value, the area control unit triggers alarm, an outlet port is controlled by the device to automatically start the fan to exhaust air, and after the temperature and the humidity and the concentration of the harmful gas are lower than the threshold value, the alarm is stopped, the fan is automatically closed, and a working log is generated.

The intelligent identification module integrated with the area control unit can access an intelligent camera signal and an infrared camera signal, can identify accumulated water, smoke and foreign matter invasion of the cable tunnel through the intelligent camera, and can monitor the real-time temperature of the cable joint and the dynamic fire point by installing the thermal infrared imager at the key position of the cable tunnel. If the abnormal condition exists, the abnormal picture and the abnormal state are stored, the alarm is given through the area control unit, the water pump or the audible and visual alarm is linked, and the working log is generated.

The cable tunnel area control unit receives a tunnel accumulated water state in real time, a water level gauge is arranged in a water collecting pit, an intelligent camera is arranged at a low-lying position where accumulated water is easy to accumulate and used for intelligent video accumulated water identification, when the water level exceeds a set value or an accumulated water identification system identifies accumulated water, an alarm is triggered, the area control unit is linked with a water pump to perform water drainage operation, the working state of the water pump is collected at the same time, and a working log is generated;

and a video analysis module of the area control unit can be connected with the thermal infrared imager to monitor the temperature of the key position of the cable tunnel in real time, and an alarm is given if the temperature is too high.

Regional control unit passes through infrared ray sensor and can detect the well lid and whether opened, if the well lid is opened, the alarm can send the warning, and video information in the cable tunnel can be gathered to the camera, with abnormal state storage to follow-up looking over.

The regional control unit adopts an optical fiber ring network mode for networking in the cable tunnel, prevents any connecting line in an optical fiber network from being broken and prevents potential safety hazards caused by influencing one region in connection, and the connecting line is sent to a monitoring background system through a switch to monitor each state of the cable tunnel in real time, so that comprehensive state evaluation, data storage, history inquiry, trend display and regional control functions of the cable tunnel are realized.

The device comprises video, switching value and state quantity multi-source data acquisition, video intelligent identification, data analysis, comprehensive state comprehensive evaluation, equipment linkage and fault warning, when the regional control unit monitors that the state quantity of the cable is abnormal, the ledger data and state evaluation data of a service platform can be called, longitudinal analysis and transverse comparison of historical data are realized, the cable state is preliminarily diagnosed, and active defect early warning is realized according to trend analysis of the running state of the cable.

The edge control unit can be connected with the state data of the cable channel equipment and the environment monitoring amount data, and judges whether the equipment operates normally according to the threshold parameter, so that the automatic alarm function is realized.

The edge control unit has an edge calculation function and can realize the functions of comprehensive state analysis and area state control.

The method and the system can reflect the internal environment state and the cable body state of the cable tunnel in real time, ensure the safety early warning of the cable and provide real-time reference indexes for the maintenance of the cable tunnel. The safe operation of the high-voltage cable and the equipment in the cable tunnel is guaranteed, and the personal safety of operation and maintenance personnel entering the tunnel is guaranteed. The system can link (dry contact) fans, water pumps, fire extinguishing devices and other equipment when the problems of high temperature, water accumulation, fire, excessive toxic gas and the like occur in the cable tunnel, and the purposes of controlling the influence range of events, removing dangerous cases in time and reducing disaster loss are achieved through organic combination and efficient linkage of various facilities.

The foregoing description is only for the basic principle and the preferred embodiments of the present invention, and modifications and substitutions by those skilled in the art are included in the scope of the present invention.