企业污染源在线监测方法、系统、电子设备以及存储介质

Online monitoring method and system for enterprise pollution source, electronic equipment and storage medium

文档序号：8940 发布日期：2021-09-17 浏览：27次中文

1. The online monitoring method for the enterprise pollution source is characterized by comprising the following steps:

collecting pollution factor detection values of all detection points in real time, and comparing the pollution factor detection values with a preset standard value;

if the detection value of the pollution factor is larger than a preset standard value, acquiring the overproof relation associated point of the detection point, and detecting the overproof information value of the corresponding overproof relation associated point from high to low according to the first association ratio;

and if the overproof information value of the overproof relation associated point exceeds a preset comparison value, calculating a responsibility ratio according to a second associated proportion of the overproof monitoring factors generated at the detection points, and acquiring the information of the responsible person of the relevant overproof relation associated point.

2. The online monitoring method for the enterprise pollution sources according to claim 1, wherein the overproof information values of the corresponding overproof relation correlation points are detected from high to low according to the first correlation ratio as follows:

carrying out statistics on the superstandard relation associated points associated when the monitoring factors exceed the standard historically at each detection point through data, and recording the superstandard relation associated points when the monitoring factors exceed the standard at the detection points to form a pollution path combination, wherein the pollution path combination comprises all superstandard relation associated points causing the superstandard of the monitoring factors, and the pollution path combination is associated with the corresponding detection points where the monitoring factors exceed the standard;

counting the proportion of the occurrence times of the pollution path combination when the monitoring factors of the same detection point exceed the standard as a first correlation proportion;

and calculating the overproof information value of each overproof relation association point in the pollution path combination from high to low according to the ratio of the first association ratio.

3. The method for online monitoring of pollution sources of enterprises as claimed in claim 2, wherein said step of calculating the superstandard information value of each superstandard relation association point in the pollution path combination from high to low according to the ratio of the first association ratio comprises:

calculating the overproof information value of each overproof relation correlation point in the pollution path combination from high to low according to the first correlation ratio; if the condition that the monitoring factor exceeds the standard is detected by only part of the superscript relationship associated points of the current pollution path combination, recording the superscript relationship associated points and corresponding superscript information values as abnormal point information, and calculating the next pollution path combination from high to low according to the ratio of the first association ratio;

if all the overproof relation associated points of the current pollution path combination detect the overproof condition of the monitoring factor, recording the overproof relation associated points of the pollution path combination and corresponding overproof information values of the overproof relation associated points;

and if the condition that only part of the overproof relation associated points detect that the monitoring factors exceed the standard or no monitoring factors exceed the standard exists in all the pre-stored pollution path combinations, forming a new pollution path combination by the overproof relation associated points in all the abnormal point information, and storing the new pollution path combination.

4. The online monitoring method for the pollution sources of the enterprise according to claim 1, further comprising:

taking the detection points with the pollution factor detection values larger than a preset standard value as standard exceeding relation association points, and acquiring all pollution path combinations in which the detection points are positioned and the detection points associated with the pollution path combinations;

and generating the acquired associated detection points into preventive alarm information.

5. The online monitoring method for the pollution sources of the enterprise according to claim 1, further comprising:

and presetting a training model, and updating the first correlation ratio and the second correlation ratio by the training model.

6. The online monitoring method for the pollution sources of the enterprises according to claim 5, wherein the calculation formula of the first correlation ratio is as follows:

wherein the content of the first and second substances,in order to be the first associated proportion,the total number of combinations of paths is contaminated,the number of times of occurrence of a pollution path combination with the number preset as i, wherein i is a positive integer and is numbered continuously;

the calculation formula of the second correlation ratio is as follows:

wherein the content of the first and second substances,when the monitoring factor exceeds the standard in the historical data, presetting the occurrence frequency of the exceeding standard relation associated point with the serial number j,the number of times that the superstandard relation associated point with preset number j appears in the total number of the associated polluted path combinations when the monitoring factor superstandard condition occurs in the detection point, and S is the number of times that all the detection points in the polluted path combinations which cause the monitoring factor superstandard condition to occur in the detection point are determined) And j is a positive integer.

7. An enterprise environment on-line monitoring system, comprising:

the collecting and comparing module is used for collecting the pollution factor detection value of each detection point in real time and comparing the pollution factor detection value with a preset standard value;

the detection and calculation module is used for acquiring the overproof relation associated point of the detection point if the detection value of the pollution factor is larger than a preset standard value, and detecting the overproof information value of the corresponding overproof relation associated point from high to low according to the first relation;

and the processing module is used for calculating the responsibility ratio according to the second correlation ratio of the monitoring factor exceeding the standard generated by the detection point and acquiring the information of the responsible person of the related standard-exceeding relation correlation point if the standard-exceeding information value of the standard-exceeding relation correlation point exceeds a preset comparison value.

8. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to any of claims 1 to 6.

9. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 6.

Background

The development of enterprises is more rapid, which causes a great deal of air pollution, harms human health and also seriously hinders economic development. Aiming at the problem, enterprises have put into a plurality of sets of pollutant treatment facilities, but due to the lack of timeliness and accuracy of information acquisition, on one hand, field operators cannot timely handle the pollution source exceeding alarm caused by the fact that the pollution source exceeding alarm is always in an unknown state when an environment-friendly event occurs; on the other hand, due to the unclear responsibility, the management layer is difficult to trace and assess the pollution emission standard exceeding event, so that the emission standard exceeding phenomenon occurs occasionally, great economic loss and public negative influence are brought to enterprises, and the problem of enterprise environment responsibility to people is urgently needed to be solved.

Disclosure of Invention

In order to facilitate responsibility of an enterprise environment and improve responsibility sharing accuracy, the application provides an enterprise pollution source online monitoring method, an enterprise pollution source online monitoring system, an electronic device and a storage medium.

In a first aspect, the application provides an enterprise pollution source online monitoring method, which adopts the following technical scheme:

an online monitoring method for an enterprise pollution source, the method comprising:

collecting pollution factor detection values of all detection points in real time, and comparing the pollution factor detection values with a preset standard value;

and if the overproof information value of the overproof relation associated point exceeds a preset comparison value, calculating a responsibility ratio according to a second overproof association ratio generated by the detection point and acquiring the information of the responsible person of the relevant overproof relation associated point.

The overproof information value is calculated through the height of the first correlation ratio, the first correlation ratio is convenient for screening out the correlation points which are correlated with the detection point and have the overproof relation with larger overproof condition of the monitoring factor, so that the source of the overproof monitoring factor is convenient to find, the responsibility ratio of each responsible person is calculated through the second correlation ratio, the enterprise environment responsibility to the person is achieved, and the accuracy of responsibility sharing calculation is improved.

Preferably, the detecting the superstandard information value of the corresponding superstandard relation associated point from high to low according to the first association ratio is as follows:

counting the proportion of the occurrence times of the pollution path combination when the monitoring factors of the same detection point exceed the standard as a first correlation proportion;

and calculating the overproof information value of each overproof relation association point in the pollution path combination from high to low according to the ratio of the first association ratio.

The first correlation ratio of the pollution path combination is calculated from high to low to exceed standard information values of multiple exceeding relation correlation points, monitoring factors exceeding the standard appear in common detection points, the monitoring factors are not only caused by a certain exceeding relation correlation point, but also possibly caused by multiple exceeding relation correlation points, the pollution path combination with the most exceeding monitoring factors occurs in the detection points through calculation, and then the high pollution path combination with the first correlation ratio is gradually calculated from low to high to achieve the effects of accurate source tracing and accurate calculation.

Preferably, the step of calculating the superstandard information value of each superstandard relation associated point in the polluted path combination from high to low according to the ratio of the first associated proportion comprises:

And determining the source and the propagation path of the overproof monitoring factor by traversing the pollution path combination, and if the existing pollution path combination does not have the combination which is in accordance with the pollution path combination, acquiring a new pollution path combination by traversing, thereby improving the accuracy.

Preferably, the method further comprises the following steps:

and generating the acquired associated detection points into preventive alarm information.

The relevant detection points are detection points which are influenced by the detection points which find that the monitoring factors exceed the standard currently, and relevant responsible persons are reminded to find that the monitoring factors exceed the standard in time or make corresponding response measures in time through the preventive alarm information.

Preferably, a training model is preset, and the first correlation ratio and the second correlation ratio are updated by the training model.

And updating the first correlation ratio and the second correlation ratio through a training model, so that the first correlation ratio and the second correlation ratio are more stable, and the fault tolerance rate is lower.

Preferably, the calculation formula of the first correlation ratio is as follows:

the calculation formula of the second correlation ratio is as follows:

Through the formula, the values of the first correlation ratio and the second correlation ratio are convenient to calculate, and the person is more accurately responsible.

In a second aspect, the present application discloses an enterprise environment online monitoring system, which adopts the following technical scheme:

an enterprise environment online monitoring system comprising:

In a third aspect, the present application discloses an electronic device, which adopts the following technical solution:

an electronic device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and executed to perform any of the methods as described above.

In a fourth aspect, the present application discloses a computer-readable storage medium, which adopts the following technical solutions:

a computer-readable storage medium storing a computer program that can be loaded by a processor and executed to perform a method according to any one of the preceding claims.

In conclusion, the overproof information value is calculated through the height of the first correlation ratio, the first correlation ratio is convenient for screening out the overproof relation correlation points which are correlated with the detection point and have larger overproof condition of the monitoring factor, so that the source of the overproof monitoring factor is convenient to find, the responsibility ratio of each responsible person is calculated through the second correlation ratio, and the effects of ensuring responsibility of enterprise environment to the responsible person and improving the accuracy of responsibility sharing calculation are achieved; calculating the overproof information values of multiple overproof relation associated points from high to low according to the first association ratio of the pollution path combination, wherein the monitoring factors of a common detection point are overproof, not only are the monitoring factors caused by one overproof relation associated point, but also can be caused by multiple overproof relation associated points; and determining the source and the propagation path of the overproof monitoring factor by traversing the pollution path combination, and if the existing pollution path combination does not have the combination which is in accordance with the pollution path combination, acquiring a new pollution path combination by traversing, thereby improving the accuracy.

Drawings

FIG. 1 is a block diagram of a method for online detection of an enterprise environment according to an embodiment of the present application;

fig. 2 is a flowchart of an online detection method for an enterprise environment according to another embodiment of the present application.

Detailed Description

The present application is described in further detail below with reference to figures 1-2.

The embodiment of the present application discloses an online detection method for an enterprise environment, and with reference to fig. 1, the method includes the following steps, it should be noted that a combination sequence of the steps in this embodiment is only used to illustrate this embodiment, and is not used to limit a combination sequence of other steps in this application:

s1: and collecting the pollution factor detection value of each detection point in real time, and comparing the pollution factor detection value with a preset standard value.

S2: and if the detection value of the pollution factor is larger than a preset standard value, acquiring the overproof relation associated point of the detection point, and detecting the overproof information value of the corresponding overproof relation associated point from high to low according to the first association ratio.

S3: and if the overproof information value of the overproof relation associated point exceeds a preset comparison value, calculating a responsibility ratio according to a second associated proportion of the overproof monitoring factors generated at the detection points, and acquiring the information of the responsible person of the relevant overproof relation associated point.

In this embodiment, a detection device for detecting the amount of the corresponding pollutant emission is provided at a pollutant emission point of a heavy pollution enterprise such as a chemical enterprise, an iron and steel manufacturing enterprise, and a cement manufacturing enterprise.

Taking chemical enterprises as an example, smoke outlets and water outlets of chemical plants are provided with corresponding pollutant discharge amount detection devices. Taking a smoke exhaust port as an example, waste gas generated by a chemical plant usually carries a large amount of chemical harmful substances, such as sulfur dioxide, hydrogen sulfide and the like, because chemical production is often accompanied by heat, light and the like, the generated waste gas generally needs to be cooled, subjected to primary dust removal, primary neutralization, secondary dust removal, secondary neutralization and other reaction treatments and then can be discharged outside, and a corresponding pollutant emission detection device is arranged at each treatment node to detect whether the treatment of the node is qualified or not and whether the content of each item of waste gas of the node is within a preset standard or not; for example, each neutralization, the amount of treatment agent is set for the amount of exhaust gas, and if the treatment is not achieved by one neutralization, the treatment result of the subsequent treatment will be affected.

The detection device is characterized in that detection equipment such as a waste gas VOC detector, a smoke particle detector and the like are arranged at each processing node of a chemical plant, the detection value of the pollution factor is the detection result of the detection equipment, and the detection equipment is connected with a processing chip; the processing chip is provided with a memory and a processor, the memory stores a computer program capable of realizing the method of the application, and the processor can load the computer program in the memory and process the computer program.

The superstandard relation association point is also actually a detection point, and the actual meaning of the superstandard relation association point is as follows: when the monitoring factor exceeds the standard, other detection points which cause the monitoring factor exceeding of the detection point occur in the historical data, and the other detection points are the exceeding relation correlation points of the detection points which detect the monitoring factor exceeding.

And when the pollution factor detection value of a certain detection point is larger than a preset standard value, acquiring the superstandard relation associated point according to historical data.

In an embodiment, the first correlation ratio is a ratio of a certain superstandard relation correlation point of a detection point where a monitoring factor exceeds a standard to a total number of occurrences of all superstandard relation correlation points, and represents a ratio of the number of occurrences of the certain superstandard relation correlation point in historical data of the detection point where the monitoring factor exceeds the standard.

Calculating to obtain first correlation ratios of all the superstandard relation correlation points, sequencing the first correlation ratios according to the ratio, and detecting the superstandard information value of the superstandard relation correlation points from high to low according to the ratio of the first correlation ratios so as to quickly position a monitoring factor superstandard occurrence source or a detection point position where the monitoring factor superstandard occurrence correlation occurs; and acquiring the overproof information values successively according to the ordered heights, comparing the acquired overproof information values with a preset comparison value, and setting the specific preset comparison value according to the detection type of the point and the difference of detection equipment. The overproof information value carries the node information and the detection equipment information of the overproof information value. And when the overproof information value of a certain node is obtained, comparing the overproof information value with a preset comparison value associated with the point, and if the overproof information value is greater than the preset comparison value, indicating that the overproof monitoring factor overproof condition occurs at the overproof relation associated point.

And screening out the exceeding relation correlation points with the exceeding information values larger than the preset comparison value to calculate a second correlation ratio. Specifically, the second correlation ratio in the present embodiment is: taking the total number of the screened superstandard relation associated points appearing in the historical data as a denominator, wherein the second association ratio is the ratio of the number of times that a specific superstandard relation associated point appears in the historical data to the denominator; for example, the superstandard relation associated points are signed by arabic numerals, superstandard information values of the superstandard relation associated points 1, the superstandard relation associated points 2, the superstandard relation associated points 3 and the superstandard relation associated points 4 are all larger than a preset comparison value, the superstandard relation associated points 1 appear 3 times in historical data, the superstandard relation associated points 2 appear 6 times in the historical data, the superstandard relation associated points 3 appear 5 times in the historical data, and the superstandard relation associated points 4 appear 8 times in the historical data, so that the denominator =3+6+5+8= 22.And the rest second associated ratios are calculated. And acquiring second correlation ratio, acquiring information of the responsible persons of the overproof relation correlation point 1, the overproof relation correlation point 2, the overproof relation correlation point 3 and the overproof relation correlation point 4, and calculating the responsibility ratio according to the calculated second correlation ratio.

In this embodiment, the responsibility ratio is equal to the second correlation ratio, that is, when the detection point detects that the monitoring factor exceeds the standard, the responsible person at this detection point has one hundred percent of responsibility, and the responsible person at the correlation point with the exceeding relation is responsible according to the responsibility ratio.

Optionally, in another embodiment, in step S2, the superstandard information value of the superstandard relation related point is detected from high to low according to the first relevance ratio as:

(1) the method comprises the steps of counting the superstandard relation associated points associated when monitoring factors exceed standards historically at each detection point through data, and recording the superstandard relation associated points when the monitoring factors exceed standards at the detection points to form a pollution path combination, wherein the pollution path combination comprises all superstandard relation associated points causing the monitoring factors to exceed standards, and the pollution path combination is associated with the corresponding detection points with the monitoring factors exceeding standards.

(2) And counting the proportion of the occurrence times of the pollution path combination when the monitoring factors of the same detection point exceed the standard as a first correlation proportion.

(3) And calculating the overproof information value of each overproof relation association point in the pollution path combination from high to low according to the ratio of the first association ratio.

In this embodiment, the exceeding relation association point, which is caused by the exceeding of the monitoring factor at a certain detection point, is only one, and may be a plurality of, for example, in the process of treating the waste gas in the chemical plant, the substance neutralized by the waste gas in each reaction of the neutralization reaction may be different, and the waste gas treatment detected at the detection point does not meet the requirement of the current treatment node, and may have a relation with the previous plurality of treatment nodes.

In the embodiment, the exceeding relation associated points when the monitoring factors exceed the standard at each detection point are stored, the detection points are associated with the corresponding historical data, the pollution path combination is a set of the exceeding relation associated points when the monitoring factors exceed the standard at a certain detection point at a certain time, and if the monitoring factors exceed the standard at the detection point at a certain time, a pollution path combination is generated, so that the monitoring factors exceed the standard at a certain detection point, and the pollution path combination with the exceeding monitoring factors has multiple groups.

Taking a current detection point at which the monitoring factor exceeds the standard as an example, in the present embodiment, the first correlation ratio = is usedWhen a detection point generates a monitoring factor exceeding, not only the condition that a certain superstandard relation associated point generates the monitoring factor exceeding or has misoperation is usually generated, but also the condition is usually caused by the combination of a plurality of superstandard relation associated points, and the superstandard relation associated point causes the detection point to generate the monitoring factor exceedingThe factor exceeds the standard, a plurality of pollution path combinations possibly exist in not only one pollution path combination, and the first correlation ratio is calculated by adopting the ratio of the pollution path combinations, so that the source for monitoring the factor exceeding is conveniently and quickly found.

And calculating the overproof information value from high to low according to the first correlation ratio of the pollution path combination, and comparing the pollution overproof information value with a preset comparison value, so that the source of the overproof monitoring factor can be theoretically retrieved in a short time, and each node on the pollution path can be timely processed.

Optionally, in another embodiment, the step of calculating the superstandard information value of each superstandard relation correlation point in the pollutant path combination from high to low according to the ratio of the first correlation ratio further includes:

(31) calculating the overproof information value of each overproof relation correlation point in the pollution path combination from high to low according to the first correlation ratio; if the condition that the monitoring factor exceeds the standard is detected only by part of the superscript relation associated points of the current pollution path combination, the superscript relation associated points and the corresponding superscript information values are recorded as abnormal point information, and the next pollution path combination is calculated from high to low according to the ratio of the first relevance ratio.

(32) And if the overproof condition of the monitoring factors is detected by all the overproof relation associated points of the current pollution path combination, recording the overproof relation associated points of the pollution path combination and corresponding overproof information values of the overproof relation associated points.

(33) And if the condition that only part of the overproof relation associated points detect that the monitoring factors exceed the standard or no monitoring factors exceed the standard exists in all the pre-stored pollution path combinations, forming a new pollution path combination by the overproof relation associated points in all the abnormal point information, and storing the new pollution path combination.

In this embodiment, the condition that the detection of the overproof monitoring factor by the overproof relationship associated point indicates that the overproof information value of the point is greater than the preset ratio.

When the method is used initially, a plurality of pollution paths can be preset, because the environment of a chemical plant is changeable, the situation that the coverage of the artificially preset pollution paths is incomplete exists, the coverage of the pollution paths can be more comprehensive through the setting, the paths are automatically updated, the training is automatically carried out, and the reliability is gradually improved along with the increase of the use time.

Referring to fig. 2, optionally, in another embodiment, the method further includes the following steps:

s4: and taking the detection points with the pollution factor detection values larger than a preset standard value as standard exceeding relation association points, and acquiring all pollution path combinations in which the detection points are positioned and the detection points associated with the pollution path combinations.

S5: and generating the acquired associated detection points into preventive alarm information.

The detection points which detect that the monitoring factors exceed the standard can also be the standard-exceeding relation correlation points of other detection points, and through the steps, the detection points which are possible to have the monitoring factors exceed the standard can be detected more quickly, so that personnel at the detection points can be reminded to pay attention to timely processing, and pollutants are prevented from being discharged outside after not being processed to reach the standard, and the environment pollution of enterprises is avoided.

In the embodiment, a predetermined path combination may be formed according to a detection point at which the monitoring factor exceeds the standard and a polluted path combination that determines that the monitoring factor exceeds the standard at the detection point, the predetermined path combination is matched with all the polluted path combinations in the historical data, and if the matching degree is greater than a predetermined value, the detection point associated with the polluted path combination of which the matching degree is greater than the predetermined value is set as a primary alarm; the specific way of calculating the matching degree is as follows: and comparing the number of elements in the preset path combination with the number of elements in the pollution path combination to be matched, taking the larger number as a denominator, taking the same elements of the preset path combination and the pollution path combination to be matched as a numerator, and calculating the matching degree. The predetermined value is a preset value and can be set according to actual conditions.

Preferably, a plurality of predetermined values may be set, and different alarm levels may be set when the degree of matching exceeds different predetermined values.

In this embodiment, the prevention alarm information is a short message, software information, or the like sent to the electronic device of the relevant responsible person through the network, and in this embodiment, the short message sent to the mobile phone of the responsible person is taken as an example.

Optionally, in another embodiment, a training model is preset, and the first correlation ratio and the second correlation ratio are updated by the training model.

The training model is formed by historical data and specifically comprises the number of superstandard relation associated points of all the detection points, the number of pollution path combinations of all the detection points, the associated relation between the number of superstandard relation associated points and the detection points and the associated relation between the pollution path combinations and the detection points.

In this embodiment, the ratio of the first associated ratio is related to the number of the polluted path combinations, the second associated ratio is related to the number of the overproof relationship associated points, the training model records and updates the latest overproof information of the monitoring factors of the detection points, and the number of the overproof relationship associated points and the number of the polluted path combinations are correspondingly updated according to the detection points to adjust the values of the first associated ratio and the second associated ratio, so that the ratio of the first associated ratio and the second associated ratio gradually becomes stable and the accuracy is higher.

Optionally, in another embodiment, the calculation formula of the first correlation ratio in the training model is:

the calculation formula of the second correlation ratio is as follows:

This embodiment still discloses an enterprise environment on-line monitoring system, including:

and the acquisition and comparison module is used for acquiring the pollution factor detection value of each detection point in real time and comparing the pollution factor detection value with a preset standard value.

And the detection and calculation module is used for acquiring the overproof relation associated point of the detection point if the detection value of the pollution factor is larger than a preset standard value, and detecting the overproof information value of the corresponding overproof relation associated point from high to low according to the first relation ratio.

And the processing module is used for calculating the responsibility ratio according to the second correlation ratio of the monitoring factor exceeding the standard generated by the detection point and acquiring the information of the responsible person of the related standard-exceeding relation correlation point if the standard-exceeding information value of the standard-exceeding relation correlation point exceeds a preset comparison value.

In addition to the above modules, the present embodiment further includes the following modules displayed on the upper layer of the hardware device for the operator to operate:

and the information display module is used for displaying the real-time state, the online real-time data, the alarm statistics and the notice bulletin of each detection point in each area of the whole company.

And the point inspection page module is used for displaying the names of the inspection points, the running state of the equipment, the number of unconfirmed alarms and the real-time values, the standard values and the limit values of pollutants.

And the user management module is used for adding users with different levels, operation authorities of the users and menu functions in the system and uniformly managing and maintaining the users by an administrator.

And the role management module is used for adding roles of different levels in the system.

And the menu management module is used for managing the menus of the whole system, listing the corresponding functions in the system in the menus and classifying the menus, so that an operator can conveniently inquire, use and distribute the menus.

And the button management module is used for managing the function buttons included in each page, so that the inquiry, the use and the distribution of operators are facilitated.

And the alarm parameter setting module is used for setting the alarm value, the alarm level, the over-limit alarm time length and the over-standard alarm time length of each monitoring factor of each detection point.

The detection factors are pollution factor detection values and overproof information values, the alarm value of the monitoring factor corresponding to the pollution factor detection value is a preset standard value, and the alarm value of the monitoring factor corresponding to the overproof information value is a preset comparison value.

The alarm level is a three-level alarm according to the condition that the pollution factor detection value exceeds a preset standard value and is within a first range; according to the pollution factor detection value exceeding the preset standard value and within a second range, a secondary alarm is given; and according to the pollution factor detection value exceeding the preset standard value and being within a third range, the first range is larger than the second range and larger than the third range, and the first range is a primary alarm.

The alarm level is a three-level alarm according to the condition that the overproof information value exceeds the preset comparison value and is within the first comparison range; according to the condition that the exceeding information value exceeds the preset comparison value and is within a second comparison range, the alarm is a secondary alarm; and judging that the exceeding information value exceeds the preset comparison value and is within a third comparison range, and judging that the exceeding information value is a primary alarm, wherein the first comparison range is larger than the second comparison range and is larger than the third comparison range.

And the monitoring factor trend query module is used for querying the historical trend of each monitoring factor at each detection point.

And the system log query module is used for querying the login condition and the equipment modification state of the user in the system.

The embodiment also discloses an electronic device, which comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute the method.

The present embodiment also discloses a computer-readable storage medium, which is characterized by storing a computer program that can be loaded by a processor and executed by the aforementioned method.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware associated with instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, databases, or other media used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.

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Online monitoring method and system for enterprise pollution source, electronic equipment and storage medium

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