CN112215526B - Metering system evaluation method and device and readable storage medium - Google Patents
Metering system evaluation method and device and readable storage medium Download PDFInfo
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Abstract
The invention discloses a metering system evaluation method, a metering system evaluation device and a readable storage medium, wherein the metering system evaluation method comprises the steps of screening energy utilization characteristic information of a user according to preset keywords to obtain key information items; performing energy consumption characteristic measurement and calculation based on the key information items, and determining corresponding running state parameters; and comparing and analyzing the operation state parameters with a preset operation model library based on the output results of the operation state parameters to obtain an evaluation result. According to the invention, through measuring and calculating the key information items, the corresponding running state parameters can be obtained. And then taking the running state parameters as input of a preset running model library, and obtaining corresponding output through the preset running model library. And finally, comparing the input of the running state parameters with the corresponding output, thereby obtaining the evaluation result of the metering system. Therefore, the automatic evaluation of the metering system is realized, and the accuracy and the credibility of the evaluation and judgment of the metering device are improved.
Description
Technical Field
The invention belongs to the technical field of electric energy metering, and particularly relates to a metering system evaluation method and device and a readable storage medium.
Background
At present, the characteristics, the operation mode, the abnormal risk and the like of main equipment of a customer are not considered in the design, configuration and installation stages of the metering device, so that an effective method for sensing and pre-controlling the performance and the potential risk of the metering system formed by the design, configuration after operation is not available in fact before operation, and the difficulty and the investment cost for carrying out the correction after encountering problems after operation are greatly increased.
The prior art generally includes the following procedures
Firstly, according to the power supply scheme requirement, the design and the shape selection of the metering system are completed, and the design and the matching of the metering system are set up, wherein the design and the shape selection comprise the specification of the metering device, key parameters and the like.
After compliance examination, the customer can purchase, install and debug the project by himself after confirming that the project does not meet the standard requirement, and the project can be electrified for operation after the project is wholly finished.
In the running state, the running condition of the metering system is regularly monitored by means of on-site operation and maintenance test, data monitoring analysis and the like, and when abnormality or risk is found, the rectifying and modifying work is started according to the severity.
According to the rectifying work demand, the system can relate to the contents such as power failure, equipment replacement, dismantling, maintenance, installation, debugging and the like, and is greatly improved compared with the system before operation in terms of time space demand, construction difficulty and investment cost, so that a plurality of inconveniences and losses are objectively caused.
The existing examination and acceptance belongs to compliance and passing examination, the consideration of influence factors possibly born under the running state of a metering system is incomplete, and measures are difficult to take for pre-control;
the influence of the customer on the self operation mode, equipment management and the like on the metering system is lack of understanding, and the energy consumption mode method is weak in scientificity and lean in benefit, so that the problems of electricity fee waste, equipment service life loss, metering or safety risk and the like caused by the customer are easy to cause.
Disclosure of Invention
In view of the above, the present invention aims to provide a method and apparatus for evaluating a metering system, and a readable storage medium, which can automatically evaluate the metering system and improve the accuracy and reliability of evaluating and judging the metering device.
In order to achieve the above purpose, the present invention provides the following technical solutions: a metering system evaluation method, comprising:
screening the energy utilization characteristic information of the user according to preset keywords to obtain key information items;
performing energy consumption characteristic measurement and calculation based on the key information items, and determining corresponding running state parameters;
and comparing and analyzing the operation state parameters with a preset operation model library based on the output results of the operation state parameters to obtain an evaluation result.
Optionally, before screening the energy consumption characteristic information of the user according to the preset keyword, the method further includes: extracting the energy consumption characteristic information from a power supply scheme provided by a user;
the energy usage characteristic information includes at least one of: industry characteristics, geographical characteristics, regional characteristics, main electric equipment information, production operation rules, metering device configuration information, power supply composition conditions and differentiated energy utilization characteristics.
Optionally, extracting the energy consumption characteristic information from a power supply scheme provided by a user includes:
if the power supply scheme is an electronic version, the energy utilization characteristic information is directly determined through the power supply scheme;
if the power supply scheme is a paper version, acquiring image information of the power supply scheme, and performing image-text conversion on the image information to acquire text information;
and determining the energy utilization characteristic information through the text information.
Optionally, after screening the energy consumption characteristic information of the user according to the preset keyword, the method further includes: and cleaning data of the keyword screening result.
Optionally, before the energy consumption characteristic measurement is performed based on the key information item, the method further includes: configuring the key information items according to a set rule by a preset association strategy to obtain an energy consumption characteristic measuring and calculating table;
wherein the setting rule includes one of the following to the top: the energy consumption relationship, the influence category and the energy consumption association information.
Optionally, performing energy consumption characteristic measurement based on the key information item, and determining a corresponding operation state parameter includes:
and calculating the energy consumption characteristic calculation table according to the historical energy consumption data to obtain corresponding running state parameters.
Optionally, the comparing the operation state parameter with a preset operation model library based on the output result of the operation state parameter to obtain an evaluation result includes:
determining the association relation between the operation state parameters and the output result of the operation model library;
determining at least one of the following according to the association relation:
and measuring errors of a measuring system, whether the corresponding running state under the running state parameters exceeds a safe running range and the corresponding electric energy quality under the running state parameters.
The second aspect of the present invention further provides the following technical solutions: a metering system evaluation device comprising:
the retrieval module is used for screening the energy utilization characteristic information of the user according to the preset keywords to obtain key information items;
the data processing module is used for carrying out energy utilization characteristic measurement and calculation based on the key information items and determining corresponding running state parameters;
and the comparison analysis module is used for carrying out comparison analysis on the operation state parameters and the output results of the preset operation model library based on the operation state parameters to obtain an evaluation result.
Optionally, the method further comprises:
the data acquisition module is used for extracting the energy utilization characteristic information from a power supply scheme provided by a user;
the energy usage characteristic information includes at least one of: industry characteristics, geographical characteristics, regional characteristics, main electric equipment information, production operation rules, metering device configuration information, power supply composition conditions and differentiated energy utilization characteristics.
Optionally, the data acquisition module includes:
the text processing unit is used for directly determining the energy utilization characteristic information through the power supply scheme if the power supply scheme is an electronic version;
the image acquisition unit is used for acquiring image information of the power supply scheme if the power supply scheme is a paper version;
the image-text conversion unit is used for performing image-text conversion on the image information to obtain text information;
the text processing unit is further used for determining the energy utilization characteristic information through the text information.
Optionally, the retrieving module includes:
and the data cleaning module is used for cleaning the data of the keyword screening result.
Optionally, the method further comprises:
the configuration module is used for configuring the key information items according to a set rule through a preset association strategy so as to obtain an energy consumption characteristic measuring and calculating table;
wherein the setting rule includes one of the following to the top: the energy consumption relationship, the influence category and the energy consumption association information.
Optionally, the data processing module is further configured to calculate the energy consumption characteristic calculation table according to historical energy consumption data, so as to obtain a corresponding running state parameter.
Optionally, the comparison analysis module includes:
the calculation unit is used for determining the association relation between the running state parameters and the output result of the running model library;
a judging unit, configured to determine at least one of the following according to the association relationship:
and measuring errors of a measuring system, whether the corresponding running state under the running state parameters exceeds a safe running range and the corresponding electric energy quality under the running state parameters.
The third aspect of the present invention further provides the following technical solutions: a computer readable storage medium storing one or more computer programs executable by one or more processors to implement the steps of the metering system evaluation method described above.
The invention has the beneficial effects that: according to the invention, through measuring and calculating the key information items, the corresponding running state parameters can be obtained. And then taking the running state parameters as input of a preset running model library, and obtaining corresponding output through the preset running model library. And finally, comparing the input of the running state parameters with the corresponding output, thereby obtaining the evaluation result of the metering system. Therefore, the automatic evaluation of the metering system is realized, and the accuracy and the credibility of the evaluation and judgment of the metering device are improved.
Drawings
In order to make the objects, technical solutions and advantageous effects of the present invention more clear, the present invention provides the following drawings for description:
FIG. 1 is a flow chart of a first embodiment of the present invention;
fig. 2 is a flow chart of the operation of the apparatus according to the third embodiment of the present invention.
Detailed Description
Preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
Example 1
Metering system
In the present embodiment, the metering system refers to an electric energy metering system, which means that a plurality of metering devices are combined to form a collection of meter devices and devices with independent complete functional characteristics through stable and reliable operation, smooth communication and control among the metering devices, and the like.
Risk prediction
The risk prediction refers to a measure of predicting and making countermeasures for possible things abnormal in the working process and working results before working so as to prevent accidents, and in the patent, the risk prediction refers to the prediction of prospective risk conditions developed by specific systems, equipment or functional components, and is commonly used for the state evaluation after operation in the design and installation stage and the judgment of equipment performance under severe running environments or abnormal working conditions under normal conditions.
Based on this, a first embodiment of the present invention proposes a metering system evaluation method, as shown in fig. 1, including:
s101, screening energy consumption characteristic information of a user according to preset keywords to obtain key information items;
s102, carrying out energy utilization characteristic measurement and calculation based on the key information items, and determining corresponding running state parameters;
s103, comparing and analyzing the operation state parameters with a preset operation model library based on the output results of the operation state parameters to obtain an evaluation result.
Specifically, in this embodiment, the energy consumption characteristic information of the user is screened according to the preset keywords, and the keyword search can be performed on the basis of the energy consumption characteristic information of the user according to the preset keyword list, so as to obtain the key information item.
By measuring and calculating the key information items, corresponding running state parameters can be obtained. And then taking the running state parameters as input of a preset running model library, and obtaining corresponding output through the preset running model library. And finally, comparing the input of the running state parameters with the corresponding output, thereby obtaining the evaluation result of the metering system. The method realizes automatic evaluation of the metering system and improves the accuracy and the credibility of evaluation and judgment of the metering device.
Optionally, before screening the energy consumption characteristic information of the user according to the preset keyword, the method further includes: extracting the energy consumption characteristic information from a power supply scheme provided by a user;
the energy usage characteristic information includes at least one of: industry characteristics, geographical characteristics, regional characteristics, main electric equipment information, production operation rules, metering device configuration information, power supply composition conditions and differentiated energy utilization characteristics.
Specifically, in this embodiment, before the energy consumption characteristic information of the user is screened according to the preset keyword, the energy consumption characteristic information of the user needs to be extracted from the power supply scheme provided by the user. The energy usage characteristic information involved in the power supply scheme of the user includes at least one of: industry characteristics, geographical characteristics, regional characteristics, main electric equipment information, production operation rules, metering device configuration information, power supply composition conditions and differentiated energy utilization characteristics.
Optionally, extracting the energy consumption characteristic information from a power supply scheme provided by a user includes:
if the power supply scheme is an electronic version, the energy utilization characteristic information is directly determined through the power supply scheme;
if the power supply scheme is a paper version, acquiring image information of the power supply scheme, and performing image-text conversion on the image information to acquire text information;
and determining the energy utilization characteristic information through the text information.
Specifically, in this embodiment, there may be a case where the power supply scheme provided by the user is an electronic board and the power supply scheme is a paper board. If the power supply scheme is an electronic version, the corresponding energy utilization characteristic information can be determined directly according to the power supply scheme. If the power supply scheme is a paper version, an image of the power supply scheme can be acquired. For example, an image acquisition module (wide-angle lens) is used for shooting pictures of power supply schemes with clear front faces, and corresponding power supply schemes are acquired page by page. And then performing image-text conversion on the image information of the power supply scheme, so that the text information of the paper power supply scheme can be obtained. The specific image-text conversion can be carried out by utilizing an optical character recognition OCR mode, the OCR can determine the shape by detecting dark and bright modes, and then the shape is translated into computer characters by a character recognition method; that is, for print characters, characters in a paper document are optically converted into an image file of a black-and-white lattice, and characters in an image are converted into a text format by recognition software. And finally, determining the application energy characteristic information corresponding to the user according to the obtained text information.
Optionally, after screening the energy consumption characteristic information of the user according to the preset keyword, the method further includes: and cleaning data of the keyword screening result.
After keyword screening is performed on the energy consumption characteristic information, in this embodiment, data cleaning may be further performed on the retrieved data, so as to obtain relatively accurate energy consumption characteristic information of the user.
Optionally, before the energy consumption characteristic measurement is performed based on the key information item, the method further includes: configuring the key information items according to a set rule by a preset association strategy to obtain an energy consumption characteristic measuring and calculating table;
the setting rule includes one of the following steps: the energy consumption relationship, the influence category and the energy consumption association information.
Specifically, since the key information items in the keyword search result are discrete, the discrete key information items cannot be directly subjected to data processing. For example, the industry classification extracted is mineral smelting, which typically uses more energy for 4-8 months, such as up to 80% load factor, and less energy for other months, such as up to 20% load factor. The user's power supply scheme is then one half of the industrial production and one half of the staff dormitory, the industry seasonal characteristics are associated with only one half of the capacity, and the remaining half is actually the resident lighting characteristics. If the production shift is an 8-hour single shift, the industrial load is the main load in the daytime and the load of the resident lighting characteristic is the main load in the night in the power supply scheme of the user. Besides the lathe produced in the main electric equipment, the main electric equipment also has a part of air conditioner, and the part of load is more for summer and winter and less for spring and autumn. That is, in this embodiment, on the one hand, separate classification is performed according to each discrete key information, and several pieces of information that can be associated are combined at the same time, that is, the information that can be associated is used. And combining the determined classifications, and classifying weak characteristics or small volumes, wherein a certain choice can be made for the convenience of calculation. And obtaining the energy consumption characteristic measuring and calculating table after configuration is completed. The energy consumption combination with strong energy consumption performance and higher relevance is adopted in the measuring meter, so that the energy consumption characteristic measuring meter can represent possible peak energy consumption data of the user power supply scheme.
Optionally, performing energy consumption characteristic measurement based on the key information item, and determining a corresponding operation state parameter includes:
and calculating the energy consumption characteristic calculation table according to the historical energy consumption data to obtain corresponding running state parameters.
After the energy consumption characteristic measuring and calculating table which represents the more outstanding power supply scheme of the user is obtained, measuring and calculating the energy consumption characteristic measuring and calculating table according to the historical energy consumption data. The typical energy utilization characteristics possibly presented by the current client after the operation can be comprehensively identified and analyzed by referring to the measurement mean value of the existing client energy utilization data. And the primary side electric parameter data in the metering system is calculated according to the operation state parameters, so that the typical operation state parameters of the current user are obtained, and a corresponding operation state parameter table can be formed item by item under the condition that the operation state parameters are more. The operating state parameter table may have several or tens of typical operating states, each of which may have a fixed set of electrical parameter data, respectively.
Optionally, comparing and analyzing the operation state parameter with a preset operation model library based on the output result of the operation state parameter to obtain an evaluation result, which includes:
determining the association relation between the operation state parameters and the output result of the operation model library;
determining at least one of the following according to the association relation:
and measuring errors of a measuring system, whether the corresponding running state under the running state parameters exceeds a safe running range and the corresponding electric energy quality under the running state parameters.
Specifically, in this embodiment, after the operation state parameters are determined, each typical operation state parameter, for example, primary-side electrical parameter data in the metering system, may be read one by one, and the read electrical parameter data is used as an input to call a preset operation model library of the metering device. And then receiving the output electric parameter value fed back by the operation model library, and comparing and analyzing the input/output data.
In this embodiment, the comparative analysis mainly includes analysis and evaluation of metering accuracy, safety and economical efficiency of the metering system, and the specific contents are as follows:
accuracy: and (3) comparing the association relation between input and output data (respectively representing the electric parameters of the primary side and the secondary side of the metering system), calculating the overall metering error of the metering system, and determining the accuracy of the metering system according to the size of the error.
Safety: comparing whether the primary/secondary electric parameters at the metering point under each typical operation state parameter exceed the safe operation range.
Economy: and evaluating the electric energy quality at the metering point under each typical operation state parameter, and combining the power supply scheme and/or whether the conditions of power factors, harmonics and the like in the related standard specifications exist or not to cause the increase of electric charge, thereby influencing the operation economy of customers.
After the evaluation result is obtained, the performance evaluation and risk prediction result can be displayed on the interactive interface in an information visualization mode, and meanwhile related data are packaged and stored in a storage unit of the external device.
In summary, the method aims at the problems of weak sensing capability, insufficient risk prediction, economic management of customer operation and limited rationality of individual and whole operation performance of the metering device in the operation state in the current customer power-receiving engineering design construction stage, and based on the key node of the configuration link of the customer metering device, the method combines a plurality of information such as customer industry characteristics, production planning characteristics, power supply composition characteristics, main equipment load characteristics, customer differentiation characteristics and the like in the industry expansion scheme to form a high-reliability operation state library in a fitting way, and respectively invokes an operation model library of the metering system to perform simulation operation, and judges the operation state and risk condition of the metering device through the result fed back by the model, thereby realizing triple targets of early sensing of risk hidden danger, optimal planning of operation strategies and good operation of the metering system, and solving the three key problems and difficulties.
Example two
The prior special large customer applies for electricity, submits the electricity application to a power supply enterprise in the area, delivers related data according to requirements, establishes a power supply scheme according to the business expansion work flow and technical requirements at present, and makes the customers carry out construction design, equipment selection, purchase, installation and other works independently, besides design examination and completion acceptance, no examination link exists before operation, and the design examination and completion acceptance are only examined for compliance, so that the operation performance and risk of the metering system are lack of perception capability, and if abnormal factors are found after operation, extra loss is likely to be caused.
Based on this second embodiment of the invention, an embodiment of a metering system evaluation method is proposed, which comprises the following steps:
according to the power supply scheme, the construction design, the equipment matching scheme and other information materials provided by a customer, before the customer purchases and installs equipment, performance evaluation and risk test are carried out on the power supply scheme provided by the customer according to the method of the first embodiment, and possible abnormal matters and corresponding running states are given out from three aspects of metering accuracy, running safety and energy economy;
the customer can selectively adjust according to the feedback information, including adjusting energy consumption plan, adjusting equipment model selection, adding electric energy quality control device, etc., and can synchronously update the typical running state parameter table according to the adjusted influencing factors by adopting means, and then can repeatedly evaluate the performance and predict the risk until the satisfactory result is obtained.
Through the adjustment measures, customers can prospectively optimize weak links in the metering system, optimize own operation planning strategies or intentionally avoid certain operation modes which can cause metering abnormality or risk hidden danger, and the cost required for carrying out such works or taking relevant measures before equipment purchase and installation is extremely low.
Example III
A third embodiment of the present invention proposes a metering system evaluating apparatus including:
the retrieval module is used for screening the energy utilization characteristic information of the user according to the preset keywords to obtain key information items;
the data processing module is used for carrying out energy utilization characteristic measurement and calculation based on the key information items and determining corresponding running state parameters;
and the comparison analysis module is used for carrying out comparison analysis on the operation state parameters and the output results of the preset operation model library based on the operation state parameters to obtain an evaluation result.
Specifically, the retrieval module in this embodiment screens the user's energy consumption characteristic information according to preset keywords, and may perform keyword retrieval based on the user's energy consumption characteristic information according to a preset keyword list, so as to obtain a key information item.
The data processing module can obtain corresponding running state parameters by measuring and calculating the key information items. And then taking the running state parameters as input of a preset running model library, and obtaining corresponding output through the preset running model library. And finally, comparing the input of the running state parameters with the corresponding output by the comparison analysis module, thereby obtaining the evaluation result of the metering system. The method realizes automatic evaluation of the metering system and improves the accuracy and the credibility of evaluation and judgment of the metering device.
Optionally, the method further comprises:
the data acquisition module is used for extracting the energy utilization characteristic information from a power supply scheme provided by a user;
the energy usage characteristic information includes at least one of: industry characteristics, geographical characteristics, regional characteristics, main electric equipment information, production operation rules, metering device configuration information, power supply composition conditions and differentiated energy utilization characteristics.
Optionally, the data acquisition module includes:
the text processing unit is used for directly determining the energy utilization characteristic information through the power supply scheme if the power supply scheme is an electronic version;
the image acquisition unit is used for acquiring image information of the power supply scheme if the power supply scheme is a paper version;
the image-text conversion unit is used for performing image-text conversion on the image information to obtain text information;
the text processing unit is further used for determining the energy utilization characteristic information through the text information.
Specifically, in this embodiment, there may be a case where the power supply scheme provided by the user is an electronic board and the power supply scheme is a paper board. If the power supply scheme is an electronic version, the text processing unit can directly determine corresponding energy utilization characteristic information according to the power supply scheme. If the power supply scheme is a paper board, an image of the power supply scheme can be acquired through the image acquisition unit. For example, an image acquisition module (wide-angle lens) is used for shooting pictures of power supply schemes with clear front faces, and corresponding power supply schemes are acquired page by page. And then the image-text conversion unit performs image-text conversion on the image information of the power supply scheme, so that the text information of the paper power supply scheme can be obtained. As shown in fig. 2, the specific graphic conversion may be performed by using an optical character recognition OCR method, wherein the OCR method may determine its shape by detecting dark and bright patterns and then translate the shape into computer text by using a character recognition method; that is, for print characters, characters in a paper document are optically converted into an image file of a black-and-white lattice, and characters in an image are converted into a text format by recognition software. And finally, determining the application energy characteristic information corresponding to the user according to the obtained text information.
Optionally, the retrieving module includes:
and the data cleaning module is used for cleaning the data of the keyword screening result.
Optionally, the method further comprises:
the configuration module is used for configuring the key information items according to a set rule through a preset association strategy so as to obtain an energy consumption characteristic measuring and calculating table;
wherein the setting rule includes one of the following to the top: the energy consumption relationship, the influence category and the energy consumption association information.
Optionally, the data processing module is further configured to calculate the energy consumption characteristic calculation table according to historical energy consumption data, so as to obtain a corresponding running state parameter.
Optionally, the comparison analysis module includes:
the calculation unit is used for determining the association relation between the running state parameters and the output result of the running model library;
a judging unit, configured to determine at least one of the following according to the association relationship:
and measuring errors of a measuring system, whether the corresponding running state under the running state parameters exceeds a safe running range and the corresponding electric energy quality under the running state parameters.
Specifically, after the operation state parameters are determined, each typical operation state parameter, for example, primary side electric parameter data in the metering system, can be read one by one, and the read electric parameter data is used as input to call a preset operation model library of the metering device. And then receiving the output electric parameter value fed back by the operation model library, and comparing and analyzing the input/output data.
In this embodiment, the comparative analysis mainly includes analysis and evaluation of metering accuracy, safety and economical efficiency of the metering system, and the specific contents are as follows:
accuracy: and (3) comparing the association relation between input and output data (respectively representing the electric parameters of the primary side and the secondary side of the metering system), calculating the overall metering error of the metering system, and determining the accuracy of the metering system according to the size of the error.
Safety: comparing whether the primary/secondary electric parameters at the metering point under each typical operation state parameter exceed the safe operation range.
Economy: and evaluating the electric energy quality at the metering point under each typical operation state parameter, and combining the power supply scheme and/or whether the conditions of power factors, harmonics and the like in the related standard specifications exist or not to cause the increase of electric charge, thereby influencing the operation economy of customers.
Aiming at the problems that the individual and whole operation performance of a metering device in an operation state is poor in perceptibility, risk is insufficient in estimation, the operation management economy and rationality of the client are limited in the current engineering design construction stage of the client, the device is based on a key node of a configuration link of the metering device of the client, and is combined with a plurality of information such as client industry characteristics, production planning characteristics, power supply composition characteristics, main equipment load characteristics, client differentiation characteristics and the like in an industry expansion scheme to form a high-reliability operation state library in a fitting manner, an operation model library of a metering system is respectively called for analog operation, the operation state and the risk condition of the metering device are judged according to the feedback result of the model, and the triple targets of early perception of risk hidden danger, optimal planning of an operation strategy and good operation of the metering system are realized.
Example IV
A fourth embodiment of the present invention proposes a computer-readable storage medium storing one or more computer programs executable by one or more processors to implement the steps of the metering system evaluating method of the first embodiment.
In an alternative embodiment, the one or more computer programs may be executed by one or more processors to implement:
screening the energy utilization characteristic information of the user according to preset keywords to obtain key information items;
performing energy consumption characteristic measurement and calculation based on the key information items, and determining corresponding running state parameters;
and comparing and analyzing the operation state parameters with a preset operation model library based on the output results of the operation state parameters to obtain an evaluation result.
Finally, it is noted that the above-mentioned preferred embodiments are only intended to illustrate rather than limit the invention, and that, although the invention has been described in detail by means of the above-mentioned preferred embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the scope of the invention as defined by the appended claims.
Claims (12)
1. A metering system evaluation method, comprising:
extracting energy consumption characteristic information from a power supply scheme provided by a user;
screening the energy utilization characteristic information of the user according to preset keywords to obtain key information items;
configuring the key information items according to a set rule by a preset association strategy to obtain an energy consumption characteristic measuring and calculating table; the setting rule at least comprises one of the following: energy consumption relation, influence category and energy consumption association information;
calculating the energy consumption characteristics based on the key information items, and determining corresponding running state parameters, wherein the energy consumption characteristics calculation table is calculated according to historical energy consumption data, and the corresponding running state parameters are obtained;
taking the running state parameters as input of a preset running model library, obtaining an output result through the preset running model library, and carrying out comparative analysis on the running state parameters and the output result of the preset running model library based on the running state parameters to obtain an evaluation result;
the comparison analysis is performed on the operation state parameters and the output results of a preset operation model library based on the operation state parameters, so as to obtain evaluation results, and the comparison analysis comprises the following steps: determining the association relation between the operation state parameters and the output result of the operation model library;
determining at least one of the following according to the association relation:
and measuring errors of a measuring system, whether the corresponding running state under the running state parameters exceeds a safe running range and the corresponding electric energy quality under the running state parameters.
2. The metering system evaluation method of claim 1, wherein the energy usage characteristic information includes at least one of: industry characteristics, geographical characteristics, regional characteristics, main electric equipment information, production operation rules, metering device configuration information, power supply composition conditions and differentiated energy utilization characteristics.
3. The metering system evaluation method of claim 2 wherein extracting the energy usage characteristic information from a user-supplied power scheme comprises:
if the power supply scheme is an electronic version, the energy utilization characteristic information is directly determined through the power supply scheme;
if the power supply scheme is a paper version, acquiring image information of the power supply scheme, and performing image-text conversion on the image information to acquire text information;
and determining the energy utilization characteristic information through the text information.
4. The metering system evaluating method of claim 3, further comprising, after screening the user's energy usage characteristic information according to a preset keyword: and cleaning data of the keyword screening result.
5. A metering system evaluating device, characterized by being applied to a metering system evaluating method according to any one of claims 1 to 4, comprising:
the retrieval module is used for screening the energy utilization characteristic information of the user according to the preset keywords to obtain key information items;
the data processing module is used for carrying out energy utilization characteristic measurement and calculation based on the key information items and determining corresponding running state parameters;
and the comparison analysis module is used for carrying out comparison analysis on the operation state parameters and the output results of the preset operation model library based on the operation state parameters to obtain an evaluation result.
6. The metering system evaluating device of claim 5, further comprising:
the data acquisition module is used for extracting the energy utilization characteristic information from a power supply scheme provided by a user;
the energy usage characteristic information includes at least one of: industry characteristics, geographical characteristics, regional characteristics, main electric equipment information, production operation rules, metering device configuration information, power supply composition conditions and differentiated energy utilization characteristics.
7. The metering system evaluating device of claim 6, wherein the data acquisition module comprises:
the text processing unit is used for directly determining the energy utilization characteristic information through the power supply scheme if the power supply scheme is an electronic version;
the image acquisition unit is used for acquiring image information of the power supply scheme if the power supply scheme is a paper version;
the image-text conversion unit is used for performing image-text conversion on the image information to obtain text information;
the text processing unit is further used for determining the energy utilization characteristic information through the text information.
8. The metering system evaluating device of claim 7, wherein the retrieving module comprises:
and the data cleaning module is used for cleaning the data of the keyword screening result.
9. The metering system evaluating device of claim 5, further comprising:
the configuration module is used for configuring the key information items according to a set rule through a preset association strategy so as to obtain an energy consumption characteristic measuring and calculating table;
wherein the setting rule includes one of the following to the top: the energy consumption relationship, the influence category and the energy consumption association information.
10. The metering system evaluating device of claim 9, wherein the data processing module is further configured to calculate the energy usage characteristic calculation table based on historical energy usage data to obtain corresponding operating state parameters.
11. The metering system evaluating device according to any one of claims 5 to 10, wherein the comparison analysis module comprises:
the calculation unit is used for determining the association relation between the running state parameters and the output result of the running model library;
a judging unit, configured to determine at least one of the following according to the association relationship:
and measuring errors of a measuring system, whether the corresponding running state under the running state parameters exceeds a safe running range and the corresponding electric energy quality under the running state parameters.
12. A computer readable storage medium storing one or more computer programs executable by one or more processors to implement the steps of the metrology system evaluation method of any one of claims 1 to 4.
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