1. A reliability calculation method based on electric energy data is characterized by comprising the following steps:

acquiring attribute information and object data of a calculation object;

determining corresponding model parameters according to the attribute information and a preset reliability analysis model;

determining a reliability calculation model of the calculation object according to the model parameters and the preset reliability analysis model;

and performing reliability calculation on the object data according to the reliability calculation model to obtain the reliability and the deviation rate of the calculation object.

2. The method for reliability calculation based on electrical energy data according to claim 1, further comprising:

determining a reliability threshold and a deviation rate threshold corresponding to the attribute information according to the attribute information of the calculation object and a preset threshold database, wherein the preset threshold database comprises matching information of the attribute information, the reliability threshold and the deviation rate threshold;

and if the credibility is lower than the credibility threshold and/or the deviation rate is lower than the deviation rate threshold, outputting alarm information.

3. The method for reliability calculation based on electrical energy data according to claim 1, further comprising:

acquiring verification data, a verification deviation rate and verification reliability of the calculation object;

performing reliability calculation on the check data according to the reliability calculation model to obtain the reliability and the deviation rate of the calculation object;

obtaining a verification result of the reliability calculation model according to the reliability, the deviation rate, the verification reliability, the verification deviation rate and a preset difference threshold;

and re-determining or maintaining the reliability calculation model according to the verification result.

4. The method according to claim 3, wherein said obtaining a verification result of said reliability calculation model based on said confidence level, said deviation ratio, said verification confidence level, said verification deviation ratio and a predetermined difference threshold comprises:

if the difference between the reliability and the verification reliability is larger than the preset difference threshold and/or the difference between the deviation rate and the verification deviation rate is larger than the preset difference threshold, the verification result is not qualified;

and if the difference value between the reliability and the verification reliability is smaller than the preset difference threshold value, and the difference value between the deviation rate and the verification deviation rate is smaller than the preset difference threshold value, the verification result is in accordance with the requirement.

5. The reliability calculation method based on electric energy data according to any one of claims 1 to 4, characterized in that the calculation object includes any one of: the single meter electric quantity, the electric quantity index and the macroscopic index, and the model parameters comprise any one of the following parameters: single-meter model parameters, electric energy model parameters, and macroscopic model parameters.

6. The method according to claim 5, wherein said determining a reliability calculation model of said calculation object based on said model parameters and said predetermined reliability analysis model comprises:

determining a single meter electric quantity reliability calculation model of the calculation object according to the single meter model parameters and the preset reliability analysis model;

and/or the presence of a gas in the gas,

determining the electric quantity index reliability calculation model according to the electric energy model parameters and the preset reliability analysis model;

and/or the presence of a gas in the gas,

and determining the macroscopic index reliability calculation model according to the macroscopic model parameters and the preset reliability analysis model.

7. The method for calculating reliability based on electric energy data according to any one of claims 1 to 4, further comprising:

receiving a query instruction;

and displaying the credibility and the deviation rate of the calculation object corresponding to the query instruction according to the query instruction.

8. The method for calculating reliability based on electric energy data according to any one of claims 1 to 4, further comprising:

receiving a report generation instruction;

and forming a reliability report by the reliability and the deviation rate of the calculation object corresponding to the report generation instruction according to the report generation instruction, and outputting the reliability report.

9. A reliability calculation system based on electrical energy data, comprising:

the acquisition module is used for acquiring attribute information and object data of the calculation object;

the parameter calculation module is used for determining corresponding model parameters according to the attribute information and a preset reliability analysis model;

the model establishing module is used for determining a reliability calculation model of the calculation object according to the model parameters and the preset reliability analysis model;

and the reliability calculation module is used for performing reliability calculation on the object data according to the reliability calculation model to obtain the reliability and the deviation rate of the calculation object.

10. A computer-readable storage medium storing computer-executable instructions for causing a computer to perform the method for reliability calculation based on electric energy data according to any one of claims 1 to 8.

Background

With the development of economy and the progress of science and technology, the demand of electric energy in daily life and production activities is rapidly increased, and the requirement on the quality of electric energy is more and more strict. In order to improve the power grid capacity and ensure the quality of electric energy data, the operation reliability and the electric energy quality of the power grid are detected by adding professional equipment.

The reliability judgment of the electric energy data is carried out one by one, then different types of electric energy data and different index reliability analysis modes are different, and if the same analysis mode is adopted, the reliability of the electric energy data is difficult to accurately judge, so that the electric energy data judgment accuracy is low.

Disclosure of Invention

The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a reliability calculation method based on electric energy data, which can quickly and accurately judge the reliability of the electric energy data.

The invention further provides a reliability calculation system based on the electric energy data.

The invention also provides a computer readable storage medium.

In a first aspect, an embodiment of the present invention provides a reliability calculation method based on electrical energy data, including:

acquiring attribute information and object data of a calculation object;

determining corresponding model parameters according to the attribute information and a preset reliability analysis model;

determining a reliability calculation model of the calculation object according to the model parameters and the preset reliability analysis model;

and performing reliability calculation on the object data according to the reliability calculation model to obtain the reliability and the deviation rate of the calculation object.

The reliability calculation method based on the electric energy data provided by the embodiment of the invention at least has the following beneficial effects: obtaining model parameters of the calculation object through the attribute information of the calculation object and a preset reliability analysis model, then substituting the model parameters into the preset reliability analysis model to obtain a reliability calculation model, substituting the object data into the reliability calculation model to obtain the credibility and the deviation rate of the calculation object, and then judging whether to use the object data as the data support of the high-level application analysis or not according to the credibility and the deviation rate of the calculation object by related personnel so as to ensure the accuracy of the application analysis.

According to other embodiments of the invention, the reliability calculation method based on the electric energy data further comprises:

determining a reliability threshold and a deviation rate threshold corresponding to the attribute information according to the attribute information of the calculation object and a preset threshold database, wherein the preset threshold database comprises matching information of the attribute information, the reliability threshold and the deviation rate threshold;

and if the credibility is lower than the credibility threshold and/or the deviation rate is lower than the deviation rate threshold, outputting alarm information.

According to other embodiments of the invention, the reliability calculation method based on the electric energy data further comprises:

acquiring verification data, a verification deviation rate and verification reliability of the calculation object;

performing reliability calculation on the check data according to the reliability calculation model to obtain the reliability and the deviation rate of the calculation object;

obtaining a verification result of the reliability calculation model according to the reliability, the deviation rate, the verification reliability, the verification deviation rate and a preset difference threshold;

and re-determining or maintaining the reliability calculation model according to the verification result.

According to another embodiment of the invention, the method for calculating reliability based on electric energy data, wherein the obtaining of the verification result of the reliability calculation model according to the reliability, the deviation rate, the verification reliability, the verification deviation rate and a preset difference threshold comprises:

if the difference between the reliability and the verification reliability is larger than the preset difference threshold and/or the difference between the deviation rate and the verification deviation rate is larger than the preset difference threshold, the verification result is not qualified;

and if the difference value between the reliability and the verification reliability is smaller than the preset difference threshold value, and the difference value between the deviation rate and the verification deviation rate is smaller than the preset difference threshold value, the verification result is in accordance with the requirement.

According to other embodiments of the invention, the calculation object includes any one of: the single meter electric quantity, the electric quantity index and the macroscopic index, and the model parameters comprise any one of the following parameters: single-meter model parameters, electric energy model parameters, and macroscopic model parameters.

According to another embodiment of the present invention, the method for calculating reliability based on electric energy data, wherein the determining a reliability calculation model of the calculation object based on the model parameters and the preset reliability analysis model includes:

determining a single meter electric quantity reliability calculation model of the calculation object according to the single meter model parameters and the preset reliability analysis model;

and/or the presence of a gas in the gas,

determining the electric quantity index reliability calculation model according to the electric energy model parameters and the preset reliability analysis model;

and/or the presence of a gas in the gas,

and determining the macroscopic index reliability calculation model according to the macroscopic model parameters and the preset reliability analysis model.

According to other embodiments of the invention, the reliability calculation method based on the electric energy data further comprises:

receiving a query instruction;

and displaying the credibility and the deviation rate of the calculation object corresponding to the query instruction according to the query instruction.

According to other embodiments of the invention, the reliability calculation method based on the electric energy data further comprises:

receiving a report generation instruction;

and forming a reliability report by the reliability and the deviation rate of the calculation object corresponding to the report generation instruction according to the report generation instruction, and outputting the reliability report.

In a second aspect, an embodiment of the present invention provides a reliability calculation system based on electrical energy data, including:

the acquisition module is used for acquiring attribute information and object data of the calculation object;

the parameter calculation module is used for determining corresponding model parameters according to the attribute information and a preset reliability analysis model;

the model establishing module is used for determining a reliability calculation model of the calculation object according to the model parameters and the preset reliability analysis model;

and the reliability calculation module is used for performing reliability calculation on the object data according to the reliability calculation model to obtain the reliability and the deviation rate of the calculation object.

The reliability calculation system based on the electric energy data provided by the embodiment of the invention at least has the following beneficial effects: obtaining model parameters of the calculation object through the attribute information of the calculation object and a preset reliability analysis model, then substituting the model parameters into the preset reliability analysis model to obtain a reliability calculation model, substituting the object data into the reliability calculation model to obtain the credibility and the deviation rate of the calculation object, and then judging whether to use the object data as the data support of the high-level application analysis or not according to the credibility and the deviation rate of the calculation object by related personnel so as to ensure the accuracy of the application analysis.

In a third aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer-executable instructions for causing a computer to perform the method for reliability calculation based on electrical energy data according to the first aspect.

Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and drawings.

Drawings

FIG. 1 is a schematic flow chart diagram illustrating an embodiment of a method for reliability calculation based on electrical energy data according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart diagram illustrating an embodiment of a method for calculating reliability based on electrical energy data according to the present invention;

FIG. 3 is a schematic flow chart diagram illustrating a method for calculating reliability based on electrical energy data according to another embodiment of the present invention;

FIG. 4 is a schematic flow chart diagram illustrating a method for calculating reliability based on electrical energy data according to another embodiment of the present invention;

FIG. 5 is a flow chart illustrating a method for calculating reliability based on electrical energy data according to another embodiment of the present invention;

FIG. 6 is a flow chart illustrating a method for calculating reliability based on electrical energy data according to another embodiment of the present invention;

FIG. 7 is a flow chart illustrating a method for calculating reliability based on electrical energy data according to another embodiment of the present invention;

fig. 8 is a block diagram of an embodiment of a system for calculating reliability based on electrical energy data according to an embodiment of the present invention.

Reference numerals: 100. an acquisition module; 200. a parameter calculation module; 300. a model building module; 400. and a reliability calculation module.

Detailed Description

The concept and technical effects of the present invention will be clearly and completely described below in conjunction with the embodiments to fully understand the objects, features and effects of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and those skilled in the art can obtain other embodiments without inventive effort based on the embodiments of the present invention, and all embodiments are within the protection scope of the present invention.

In the description of the embodiments of the present invention, if "a number" is referred to, it means one or more, if "a plurality" is referred to, it means two or more, if "greater than", "less than" or "more than" is referred to, it is understood that the number is not included, and if "greater than", "lower" or "inner" is referred to, it is understood that the number is included. If reference is made to "first" or "second", this should be understood to distinguish between features and not to indicate or imply relative importance or to implicitly indicate the number of indicated features or to implicitly indicate the precedence of the indicated features.

Because the reliability of the electric energy data influences the operation of the subsequent application for analyzing according to the electric energy data, if the reliability of the electric energy data is extremely low, the subsequent application analyzes according to the electric energy data, and the accuracy of the analysis is seriously influenced. Therefore, after the reliability of the electric energy data is determined by performing reliability calculation on the electric energy data, whether the data support for subsequent analysis is performed by using the electric energy data can be judged according to the reliability of the electric energy data. At present, reliability judgment based on electric energy data is calculated one by one, a large amount of calculation is needed, and reliability analysis efficiency is low.

Based on the above, the application discloses a reliability calculation method, system and storage medium based on electric energy data, which can quickly generate the reliability of electric energy related data so as to provide data support for subsequent advanced application analysis.

Referring to fig. 1, in a first aspect, the present embodiment discloses a reliability calculation method based on electrical energy data, including:

s100, acquiring attribute information and object data of a calculation object;

s200, determining corresponding model parameters according to the attribute information and a preset reliability analysis model;

s300, determining a reliability calculation model of the calculation object according to the model parameters and a preset reliability analysis model;

s400, reliability calculation is carried out on the object data according to the reliability calculation model so as to obtain the reliability and the deviation rate of the calculation object.

Because different calculation objects need to adopt different reliability calculation models for reliability calculation, by acquiring the attribute information of the calculation objects, determining corresponding model parameters according to the attribute information and the preset reliability analysis model, and then substituting the model parameters into the preset reliability analysis model to construct the reliability calculation model of the calculation objects, the object data can be substituted into the reliability calculation model for reliability calculation to obtain the reliability and the deviation rate of the calculation objects. Whether the object data can be used as the data support of high-level application analysis can be analyzed through the credibility and the deviation rate of each calculation object.

Referring to fig. 2, in some embodiments, the method of reliability calculation based on electrical energy data further comprises:

s500, acquiring verification data, a verification deviation rate and verification reliability of the calculation object;

s600, performing reliability calculation on the check data according to the reliability calculation model to obtain the reliability and the deviation rate of the calculation object;

s700, obtaining a verification result of the reliability calculation model according to the reliability, the deviation rate, the verification reliability, the verification deviation rate and a preset difference threshold value;

and S800, re-determining or maintaining the reliability calculation module according to the verification result.

The reliability calculation model obtained by directly determining the model parameters according to the attribute information and the preset reliability analysis model and substituting the model parameters into the preset reliability analysis model can not accurately calculate the reliability and the deviation rate of each calculation object. Therefore, it is necessary to judge the accuracy of the established reliability calculation model. The method comprises the steps of obtaining check data of a calculation object and a check deviation rate and a check reliability corresponding to the check data, then carrying out reliability calculation on the check data according to a reliability calculation model to obtain the reliability and the deviation rate, then comparing the reliability and the check reliability, comparing the deviation rate and the check deviation rate to obtain a comparison result, and finally obtaining the check result according to the comparison result and a preset difference threshold. And judging whether the accuracy of the reliability calculation model meets the preset requirement or not according to the verification result, if the verification result meets the requirement, keeping the reliability calculation model, and if the verification result does not meet the requirement, determining the model parameters according to the attribute information again and then obtaining the reliability model until the calculated reliability calculation model meets the requirement. Therefore, the reliability calculation models are subjected to accuracy verification to ensure that the accuracy of each reliability calculation model meets the requirement, and then the reliability and the deviation rate of the object data are calculated, so that the reliability calculation of the object data of the calculation object is accurate.

Referring to fig. 3, in some embodiments, step S700 includes:

s710, if the difference between the reliability and the verification reliability is larger than a preset difference threshold and/or the difference between the deviation rate and the verification deviation rate is larger than a preset difference threshold, the verification result is inaccurate;

s720, if the difference value between the reliability and the verification reliability is smaller than a preset difference threshold value, and the difference value between the deviation rate and the verification deviation rate is smaller than the preset difference threshold value, the verification result is accurate.

If the difference value of the reliability and the verification reliability is larger than a preset difference threshold value and/or the difference value of the deviation rate and the verification deviation rate is larger than a preset difference threshold value, the reliability and/or the deviation rate of the object data calculated through the reliability calculation model are proved to be not in accordance with the requirements, and the reliability calculation model needs to be reconstructed. And if the reliability and the verification reliability are smaller than a preset difference threshold value, and the difference between the deviation rate and the verification deviation rate is smaller than the preset difference threshold value, the accuracy of the data of the calculation object of the reliability calculation model is proved to meet the requirement. Therefore, whether the accuracy of the reliability calculation model meets the requirement or not can be judged by setting the corresponding preset difference threshold, and the reliability and the deviation rate of the object data are calculated accurately.

In some embodiments, the computing object comprises any one of: the single meter electric quantity, the electric quantity index and the macroscopic index, and the model parameter comprises any one of the following parameters: single-meter model parameters, electric energy model parameters, and macroscopic model parameters.

Because the electric energy data mainly comprises single meter electric quantity, electric quantity indexes and macroscopic indexes, the single meter electric quantity, the electric quantity indexes and the macroscopic indexes need to be subjected to reliability calculation to generate a reliability coefficient of the electric energy related data, and data support is provided for advanced application analysis.

Referring to fig. 4, wherein step S300 includes:

s310, determining a reliability calculation model of the electric quantity of the single meter of the calculation object according to the parameters of the single meter model and a preset reliability analysis model;

and/or the presence of a gas in the gas,

s320, determining an electric quantity index calculation model according to the electric energy model parameters and a preset reliability analysis model;

and/or the presence of a gas in the gas,

s330, determining a macroscopic index reliability calculation model according to the macroscopic model parameters and the preset reliability analysis model.

And if the calculation object is the single-meter electric quantity, determining corresponding single-meter model parameters according to the attribute information of the single-meter electric quantity and the preset reliability analysis model, and substituting the single-meter model parameters into the preset reliability analysis model to determine the single-meter electric quantity reliability calculation model of the single-meter electric quantity. And if the calculation object is the electric quantity index, determining a corresponding electric energy model parameter according to the attribute information of the electric quantity index and the preset reliability analysis model, and substituting the electric energy model parameter into the preset reliability analysis model to obtain the electric quantity index reliability calculation model. And if the calculation object is a macro index, determining a corresponding macro model parameter according to the attribute information of the macro index and the preset reliability analysis model, and substituting the macro model parameter into the preset reliability analysis model to obtain a macro index reliability calculation model. Therefore, different attribute parameters are determined according to different calculation objects, and then the different attribute parameters are substituted into the preset reliability analysis model to obtain the reliability calculation model of each calculation object, so that object data of the corresponding calculation object are calculated according to the reliability calculation model, data pertinence calculation is realized, and the accuracy of data reliability analysis is improved.

And if the calculation object is the single-meter electric quantity, the object data are single-meter daily electric quantity data and single-meter monthly electric quantity data. And performing reliability calculation on the single-meter daily electric quantity data of the single-meter electric quantity according to the single-meter electric quantity reliability calculation model to generate the reliability and deviation rate of the single-meter electric quantity, so that a user can determine whether to adopt the single-meter daily electric quantity data and the single-meter monthly electric quantity data for subsequent data support according to the reliability and deviation rate of the single-meter electric quantity, and the accuracy of subsequent application analysis is improved. If the calculation object is the electric quantity index, the object data is the electric quantity index data of the power supply quantity, the power selling quantity, the power purchasing quantity, the power plant electric quantity, the industry electric quantity, the daily electric quantity of the power of the gateway of the province and the month electric quantity of the power of the network, the province and the city. And performing reliability calculation on the electric quantity index data according to the electric quantity index reliability calculation model to generate the reliability and deviation rate of the electric quantity index, and judging whether the index data is adopted as a data support of subsequent application analysis or not by related personnel according to the reliability and deviation rate of the electric quantity index so as to improve the accuracy of the application analysis. If the calculation object is a macro index, the object data is a macro economic landscape index, a gram strong power index, a rework complex yield and a power carbon emission reduction index of the high-level application, and reliability calculation is performed on the macro economic landscape index, the gram strong power index, the rework complex yield and the power carbon emission reduction index of the high-level application according to a macro index reliability calculation module to obtain the reliability and deviation rate of the macro index, so that related personnel can judge whether to adopt the data of the macro index according to the reliability and deviation rate of the macro index to ensure that the data support of subsequent application can improve the accuracy of analysis.

Referring to fig. 5, in some embodiments, the method of reliability calculation based on electrical energy data further comprises:

s900, receiving a query instruction;

and S1000, displaying the reliability and the deviation rate of the calculation object corresponding to the query instruction according to the query instruction.

According to the method, a query instruction is formed by clicking a calculation object by a user, the system receives the query instruction and displays the reliability and the deviation rate of the corresponding calculation object, the visualization of the reliability and the deviation rate of each calculation object is realized, and related personnel can know whether the object data of each calculation object can be used as data support of application analysis or not through the displayed reliability and the displayed deviation rate, so that the accuracy of the application analysis is improved.

If the calculation object is the electricity quantity of the single meter, displaying the credibility and the deviation rate of the daily electricity quantity of the single meter and the monthly electricity quantity of the single meter; if the calculation object is an electric quantity index, displaying the credibility and deviation rate of the single-meter daily electric quantity index and the single-meter monthly electric quantity index; and if the calculation object is a macroscopic index, determining the credibility and deviation rate of the macroscopic index of the macroscopic economic landscape index, the gram-strong power index, the rework complex yield and the power carbon emission reduction index, and determining whether the object data is used as the data support of the application analysis or not according to the displayed credibility and deviation rate, so that the accuracy of data analysis is improved.

Referring to fig. 6, in some embodiments, the method of reliability calculation based on electrical energy data further comprises:

s1100, determining a reliability threshold and a deviation rate threshold corresponding to attribute information according to the attribute information of the calculation object and a preset threshold database, wherein the preset threshold database comprises matching information of the attribute information, the reliability threshold and the deviation rate threshold;

s1200, if the reliability is lower than the reliability threshold and/or the deviation rate is lower than the deviation rate threshold, outputting alarm information.

Because different calculation objects have different requirements on the reliability and the deviation rate, the reliability threshold value and the deviation rate threshold value corresponding to the attribute information are determined through the attribute information of the calculation object and the preset threshold value database, if the reliability of the calculation object obtained through calculation is lower than the reliability threshold value and/or the deviation rate is lower than the deviation rate threshold value, the object data of the calculation object is proved to be not in accordance with the requirements of a user, alarm information is output, so that related personnel can not use the object data of the calculation object according to the alarm information, and the data support of application analysis can be ensured to meet the requirements. If the calculated credibility exceeds the credibility threshold and the deviation rate exceeds the deviation rate threshold, outputting qualified information, and proving that the object data of the calculation object meets the user requirements, related personnel can use the object data of the calculation object according to the qualified information, and then the object data is used as data support of subsequent high-level application analysis to ensure accurate analysis of the application.

Referring to fig. 7, in some embodiments, the reliability calculation method based on the electric energy data further includes:

s1300, receiving a report generation instruction;

and S1400, forming a reliability report according to the reliability and the deviation rate of the calculation object corresponding to the report generation instruction according to the report generation instruction, and outputting the reliability report.

When a user needs to check the reliability and the deviation rate of the object data of each calculation object, the system receives the report generation instruction, and then forms a corresponding reliability report according to the report generation instruction, so that the user can check the reliability and the deviation rate of each calculation object through the reliability report, and the experience of the user is improved.

The reliability calculation method based on the electric energy data according to the embodiment of the present invention is described in detail in one specific embodiment with reference to fig. 1 to 7. It is to be understood that the following description is only exemplary, and not a specific limitation of the invention.

By acquiring the attribute information of the calculation object, if the calculation object is the single-meter electric quantity, determining the corresponding single-meter model parameter according to the attribute information of the single-meter electric quantity and the preset reliability analysis model, then substituting the single-meter model parameter into the preset reliability analysis model to determine the single-meter electric quantity reliability calculation model of the single-meter electric quantity, and performing reliability calculation on the single-meter daily electric quantity data of the single-meter electric quantity according to the single-meter electric quantity reliability calculation model to generate the reliability and the deviation rate of the single-meter electric quantity, so that a user can determine whether to adopt the single-meter daily electric quantity data and the single-meter monthly electric quantity data to perform subsequent data support according to the reliability and the deviation rate of the single-meter electric quantity. And if the calculation object is the electric quantity index, determining a corresponding electric energy model parameter according to the attribute information of the electric quantity index and the preset reliability analysis model, and substituting the electric energy model parameter into the preset reliability analysis model to obtain the electric quantity index reliability calculation model. And performing reliability calculation on the electric quantity index data according to the electric quantity index reliability calculation model to generate the reliability and deviation rate of the electric quantity index, and judging whether the index data is adopted as data support of subsequent application analysis or not by related personnel according to the reliability and deviation rate of the electric quantity index. And if the calculation object is a macro index, determining a corresponding macro model parameter according to the attribute information of the macro index and the preset reliability analysis model, and substituting the macro model parameter into the preset reliability analysis model to obtain a macro index reliability calculation model. And performing reliability calculation on the macroscopic economic landscape index, the gram-strong power index, the rework complex yield and the power carbon emission reduction index of the high-grade application according to the macroscopic index reliability calculation module to obtain the credibility and deviation rate of the macroscopic index, so that related personnel can judge whether to adopt the data of the macroscopic index according to the credibility and deviation rate of the macroscopic index. If the calculated credibility of the calculation object is lower than the credibility threshold and/or the deviation rate is lower than the deviation rate threshold, the object data of the calculation object is proved to be not in accordance with the requirements of the user, and then the alarm information is output, so that related personnel can not be applicable to the object data of the calculation object according to the alarm information, and the data support of the application analysis can meet the requirements. If the calculated credibility exceeds the credibility threshold and the deviation rate exceeds the deviation rate threshold, outputting qualified information, and proving that the object data of the calculation object meets the user requirements, related personnel can use the object data of the calculation object according to the qualified information, and then the object data is used as data support of subsequent high-level application analysis to ensure accurate analysis of the application.

Referring to fig. 8, in a second aspect, an embodiment of the present invention further discloses a reliability calculation system based on electrical energy data, including: the system comprises an acquisition module 100, a parameter calculation module 200, a model building module 300 and a reliability calculation module 400; the obtaining module 100 is configured to obtain attribute information and object data of a calculation object; the parameter calculation module 200 is configured to determine a corresponding model parameter according to the attribute information and a preset reliability analysis model; the model establishing module 300 is configured to determine a reliability calculation model of the calculation object according to the model parameters and a preset reliability analysis model; the reliability calculation module 400 is configured to perform reliability calculation on the object data according to the reliability calculation model to obtain the reliability and the deviation rate of the calculation object.

Model parameters of the calculation objects are obtained according to the attribute information of each calculation object and a preset reliability analysis model, then the model parameters are substituted into the preset reliability analysis model to obtain a reliability calculation model, then the object data are substituted into the reliability calculation model to obtain the credibility and the deviation rate of the calculation objects, and related personnel judge whether to use the object data as data support of high-level application analysis according to the credibility and the deviation rate of the calculation objects so as to ensure the accuracy of the application analysis.

Specifically, reference is made to the method for calculating reliability based on electrical energy data in the first aspect, and details are not repeated here.

In a third aspect, the present invention also discloses a computer-readable storage medium, which stores computer-executable instructions for causing a computer to execute the method for calculating reliability based on electrical energy data according to the first aspect.

The above-described embodiments of the apparatus are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, i.e. may be located in one place, or may also be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.

The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention. Furthermore, the embodiments of the present invention and the features of the embodiments may be combined with each other without conflict.