A quality analysis method for automated evaluation of remote business functions of metering equipment

Abstract

The present invention discloses a quality analysis method for automated evaluation of remote business functions of metering equipment, which relates to the field of electric power operation and maintenance. At present, after the metering equipment is newly installed or upgraded, there is no corresponding business function to realize automated evaluation, which is not conducive to the quality control of the metering equipment. According to the acquired metering equipment information, the present invention performs remote evaluation of the electricity collection business, remote evaluation of the load collection business, and remote evaluation of the full event collection business on the corresponding metering equipment; when all three evaluations are qualified, it is considered qualified; if not, it is considered unqualified. This technical solution strictly audits and conducts multiple evaluations on newly installed and upgraded metering equipment. The evaluation is efficient and comprehensive, effectively reducing the collection anomalies and metering anomalies caused by new installations and upgrades, intuitively reflecting the equipment quality, assisting in the overall manufacturer evaluation of metering equipment, and effectively identifying the manufacturer's capabilities.

Description

Technical Field

[0001] The present invention relates to the field of electric power operation and maintenance, and in particular to a quality analysis method for automatic evaluation of remote business functions of metering equipment. Background Art

[0002] The State Grid's electricity consumption information collection system has been promoted nationwide since 2010. It has played an important technical foundation support role in business applications such as power trading settlement, power calculation, demand side management, distribution network emergency repair, anti-electricity theft inspection, and line loss management. As an important part of the electricity consumption information collection system, the quality of the energy meter directly affects the data quality and application level of the user's electricity consumption information, the accuracy of the power user's electricity consumption metering, and the safe, stable and economic operation of the system, and even directly related to the reliability of power supply. The quality assessment of the energy meter is one of the important means to ensure and improve the quality of the energy meter, and it is a key link in the management of the entire life cycle of the energy meter. In addition to the collection of electricity and load, the energy meter also collects various types of event data. With the promotion of the State Grid's non-metering business of smart meters over the years, there are higher requirements for the collection of high-frequency loads and full data of the energy meter. The integrity of the remote business function of the energy meter greatly supports the application level of various non-metering business of the electricity consumption information collection system. Constructing various business evaluation quality assessment models for electricity meters to comprehensively evaluate the quality of electricity metering equipment can assist power grid companies in further managing suppliers and provide an objective and scientific basis for power grid companies to conduct electricity meter quality assessment and supervision. It has very important practical significance and engineering value for the construction of smart grids.

[0003] The centralized verification of traditional metering equipment after storage is mainly carried out for various standards and specifications of the meter, but there is no complete evaluation process after on-site installation and meter upgrade. After the installation and upgrade are completed, the operator cannot know whether the various business functions of the metering equipment can be carried out normally after the installation and upgrade. The meter has many business function categories, various data items, and different collection frequencies. Under this extensive management mode, it is impossible to effectively control the newly installed metering equipment and upgraded metering equipment in the province. On the other hand, the upgrade directly provided by the manufacturer cannot guarantee 100% reliability, and it is easy to cause metering equipment failure during the upgrade, which has a certain impact on the safety and stability of the power grid operation. Secondly, with the recent promotion of multi-core smart energy meters led by the State Grid to formulate standards, the legal part and the illegal part are separated. The upgrade of the illegal part will become the norm, so the remote evaluation of the business functions of metering equipment has also become a hot and common business. Summary of the invention

[0004] The technical problem to be solved and the technical task proposed by the present invention are to improve and perfect the existing technical solutions and provide a quality analysis method for automatic evaluation of remote business functions of metering equipment, so as to achieve the purpose of comprehensive and accurate audit of newly installed and upgraded metering equipment. To this end, the present invention adopts the following technical solutions.

[0005] A quality analysis method for automated evaluation of remote business functions of a metering device comprises the following steps:

[0006] 1) Obtain information on installation and upgrade of metering equipment;

[0007] 2) Based on the acquired metering equipment information, remote evaluation of the electricity collection service, remote evaluation of the load collection service, and remote evaluation of the full event collection service are performed on the corresponding metering equipment;

[0008] 3) Determine whether the remote evaluation of the power collection service, the remote evaluation of the load collection service, and the remote evaluation of the full event collection service are all qualified. If so, it is considered qualified; if not, it is considered unqualified; the qualified refers to the qualified corresponding to the newly installed metering equipment or the qualified upgraded metering equipment;

[0009] 4) Record and handle unqualified measuring equipment; handling includes replacement and re-upgrade.

[0010] 2. A quality analysis method for automated evaluation of remote business functions of metering equipment according to claim 1, characterized in that: in step 1), when obtaining metering equipment information, a unified automated business function evaluation is performed on a batch of metering equipment, and the batch is the same supplier, or the same upgrade period equipment, or the same unit equipment, or the same regional equipment, or the same plan equipment, or the same bidding batch equipment, or the same arrival batch equipment.

[0011] As a preferred technical means: in step 2), the remote evaluation of the power collection service includes the following steps:

[0012] 1A) Select data items for comprehensive collection and evaluation; the data items include daily frozen reverse active total electric energy, daily frozen reverse active electric energy rate 1, daily frozen reverse active electric energy rate 2, daily frozen reverse active electric energy rate 3, daily frozen reverse active electric energy rate 4, daily frozen one-quadrant total reactive electric energy indication, current one-quadrant total reactive electric energy, daily frozen four-quadrant total reactive electric energy indication, current four-quadrant total reactive electric energy, daily frozen forward active total electric energy, daily frozen forward active electric energy rate 1, daily frozen forward active electric energy rate 2, daily frozen forward active electric energy rate 3, daily frozen forward active electric energy rate;

[0013] 1B) Record the collection completeness rate m days after installation or upgrade;

[0014] 1C) If there is data from m days before installation, compare the total number of days m since the first installation and upgrade, the current day i, and the cumulative collection completeness rate F of the above data items success rate i , the total number of electric energy meters in this batch is N, where N represents the sum of the batch equipment currently being evaluated;

[0015] F i Represents the overall collection completeness rate after installation and upgrade; F -i Represents the overall collection completeness rate before installation and upgrade; the calculation formula is: F -i The calculation method of F i is calculated in the same way;

[0016] When |F i -F -i |>u, u=1%, and all data items including daily frozen reverse active total electric energy have been successfully collected, then the remote evaluation of the electric energy collection service is judged to be qualified;

[0017] 1D) If there is no data from m days before installation, and the user is a new user, then a comparison is performed, the total number of days m since the first installation and upgrade, the current day i, and the cumulative collection completeness rate F of the above data items success rate i , the total number of electric energy meters in this batch is N, where N represents the sum of the batch equipment currently being evaluated. The batch is the collection of equipment from the same period, the same manufacturer, or a newly commissioned batch of equipment;

[0018] The calculation formula for the overall collection completeness rate before and after the installation and upgrade is:

[0019]

[0020] When |F i |>u, u=average collection completeness rate at one time, and all the above data items including the daily frozen reverse active total electric energy have been successfully collected, then the remote evaluation of the electric energy collection service is judged to be qualified.

[0021] In this technical solution, even if it is a newly installed metering device, it is necessary to compare it with the replaced metering device, that is, to obtain the overall collection completeness rate before installation, so as to compare the new and old metering devices, so as to make the analysis data more comprehensive and better evaluate the two metering devices.

[0022] As a preferred technical means: in step 2), the remote load collection success rate evaluation includes the following steps:

[0023] 2A) selecting data items for comprehensive collection and evaluation, the data items including total forward active electric energy, active power, power factor, current data block, and voltage data block, the data items being obtained through call testing;

[0024] 2B) Record the load collection completeness rate m days after a single device is installed or upgraded;

[0025] 2C) Calculate the load collection completeness rate of all equipment, the calculation formula is:

[0026]

[0027] Where: Q represents the total number of batches for remote evaluation, L represents the total number of regions where batch equipment is installed, and E ij and e ij They represent the number of the i-th batch of equipment in the j-th installation area and the total load collection completeness rate after evaluating the load collection capacity available in the system;

[0028] 2D) When I FHCJ >I i , where I i If it is the completeness rate of primary load collection in the whole province, then the remote evaluation of the load collection business of this batch of metering equipment is judged to be qualified.

[0029] I i It is the average load collection success rate of the whole province (averaged by each terminal with load collection tasks), calculated by the system. The system calculation logic is: the one-time collection success rate of 96 load points of all electricity meters per day (the number of load points divided by the total number of points).

[0030] As a preferred technical means: m = 7 days. 7 days is a week, including rest days and working days, which makes the data collection more accurate, improves the accuracy of calculation, and avoids excessive data that affects the calculation amount.

[0031] As a preferred technical means: in step 2), the remote evaluation of the full event collection service includes the following steps:

[0032] 3A) Select event information, including: overcurrent, open meter cover, clear energy meter, power failure, constant magnetic field interference, voltage loss, open terminal cover, undervoltage, overvoltage, voltage imbalance, time calibration, current loss, phase failure, power supply abnormality, current failure, voltage reverse phase sequence, power flow reverse, overload, power factor exceeding lower limit, demand clear, event clear, programming, switch off, switch on, total voltage loss;

[0033] 3B) Conduct full event call test for all events, determine whether the collection is successful or failed, record it, and obtain the event occurrence number data item;

[0034] 3C) Record the total number of events as m, collect and test n times, and get an m×n matrix N, where 1 indicates successful event collection and 0 indicates failed event collection. The matrix represents the number of successful collections of each event. Use the sum() function to calculate the sum of all elements of the matrix.

[0035]

[0036] k = sum(sum(N))

[0037]

[0038] 3D) When I FHCJ >I i , where I i In order to set the threshold of the completeness rate of the basic collection of all events, the remote evaluation results of the full event collection business of this batch are judged to be qualified.

[0039] Beneficial effects: The present invention conducts strict audits and multiple evaluations on newly installed and upgraded metering equipment. The evaluation is efficient and comprehensive, effectively reducing collection anomalies and metering anomalies caused by new installations and upgrades, intuitively reflecting the quality of the equipment, helping to evaluate the overall manufacturer of metering equipment, and effectively identifying the manufacturer's capabilities. Automatic function verification and evaluation of the quality of the entire batch after the new installation and upgrade of metering equipment are carried out. The evaluation results will serve as the basis for the evaluation of the operating quality of the metering equipment, which is conducive to improving the quality of the product and the success rate of the upgrade, identifying problem points from multiple aspects, and providing assistance for the improvement of equipment and software;

[0040] Introduce automated evaluation processes to conduct multiple business function tests such as various power data items, load data items, full event support, and various setting parameter items, reduce manual operation and monitoring costs, improve the level of intelligent application of the system, enhance objectivity, and reduce the impact of subjective factors.

[0041] Provide comprehensive monitoring of the on-site operational business function capabilities after metering equipment installation and upgrades to assist power.

[0042] By evaluating the remote business functions of metering equipment, we can improve the support for remote business functions of new and old equipment, which will be beneficial to the improvement of non-metering business applications of electricity meters. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0044] The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings.

[0045] like Figure 1 As shown, the present invention comprises the following steps:

[0046] S01: Obtain the installation and upgrade information of metering equipment; uniformly conduct unified business function automation evaluation for a batch of metering equipment. The batch can be the same supplier, the same upgrade period equipment, the same unit equipment, the same area equipment, the same solution equipment, the same bidding batch equipment, and the same arrival batch equipment;

[0047] S02: Based on the acquired metering equipment information, remote evaluation of the power collection service, remote evaluation of the load collection service, and remote evaluation of the full event collection service are performed on the corresponding metering equipment; each evaluation is specifically described below:

[0048] 1. Carry out remote power collection and evaluation:

[0049] A) 14 data items including daily frozen reverse active energy, daily frozen reverse active energy rate 1, daily frozen reverse active energy rate 2, daily frozen reverse active energy rate 3, daily frozen reverse active energy rate 4, daily frozen one-quadrant total reactive energy indication, current one-quadrant total reactive energy, daily frozen four-quadrant total reactive energy indication, current four-quadrant total reactive energy, daily frozen forward active energy, daily frozen forward active energy rate 1, daily frozen forward active energy rate 2, daily frozen forward active energy rate 3, and daily frozen forward active energy rate 4 are selected for comprehensive collection and evaluation;

[0050] B) Record the collection completeness rate m days after installation or upgrade;

[0051] C) If there is data from m days before installation, compare the total number of days m since the first installation and upgrade, the current day i, and the collection completeness rate F of the accumulated 14 success rates. i , the total number of electric energy meters in this batch is N, where N represents the sum of the batch equipment currently being evaluated;

[0052] ① Calculate the overall collection completeness rate m days before and after the installation and upgrade;

[0053] ②|F i -F -i |>u, u=1%, and all data items such as daily frozen reverse active total electric energy have been successfully collected, and F i It is judged as qualified;

[0054] D) If there is no data from the first m days of installation, and the user is a new user, then a comparison is performed, the total number of days since the first installation and upgrade is m, the current day is i, and the collection completeness rate F of the accumulated 14 success rates i , the total number of electric energy meters in this batch is N, where N represents the sum of the batch equipment currently being evaluated. The batch can be a collection of equipment from the same period, the same manufacturer, or a newly commissioned batch of equipment;

[0055] ① Calculate the overall collection completeness rate before and after the installation and upgrade m days

[0056] ②|F i |>u, u=average collection completeness rate, and all data items such as daily frozen reverse active total electric energy have been successfully collected, and F iIt is judged as qualified;

[0057] 2. Conduct remote load collection success rate evaluation:

[0058] A) Select the data items of total forward active electric energy, active power, power factor, current data block, and voltage data block for comprehensive collection and evaluation, and conduct evaluation through call for testing;

[0059] B) Record the load collection completeness rate m days after installation or upgrade, m = 7 days

[0060] C) Load collection completeness rate can be:

[0061]

[0062] Where: Q represents the total number of batches for remote evaluation, L represents the total number of regions where batch equipment is installed, Nij, E ij and e ij They respectively represent the number of the i-th batch of equipment in the j-th installation area and the total load collection completeness rate after evaluating the load collection capacity available in the system.

[0063] D)I FHCJ >I i , where I i If the completeness rate of primary load collection in the whole province is obtained, the completeness rate of the equipment in this batch is considered qualified;

[0064] 3. Conduct integrity assessment of all event data items:

[0065] A) Select overcurrent (ABC three-phase), open meter cover, clear electric energy meter, power failure, constant magnetic field interference, voltage loss (ABC three-phase), open end button cover, undervoltage (ABC three-phase), overvoltage (ABC three-phase), voltage imbalance, time calibration, current loss (ABC three-phase), phase failure (ABC three-phase), power supply abnormality, current failure (ABC three-phase), voltage reverse sequence, power flow reverse, overload (ABC three-phase), power factor exceeds lower limit (ABC three-phase), demand clear, event clear, programming, switch off, switch on, total voltage loss, all categories and all events;

[0066] B) Conduct full event call testing for all events, mainly for the number of event occurrence data items, determine whether the collection is successful or failed, and record it;

[0067] C) Record the total number of events as m, collect and test n times, and get an m×n matrix N, where 1 indicates successful event collection and 0 indicates failed event collection. This matrix can represent the number of successful collections of each event respectively; use the sum() function to calculate the sum of all elements of the matrix;

[0068]

[0069] k = sum(sum(N))

[0070]

[0071] D)I FHCJ >I i , where I i To set the completeness rate of basic collection of all events, the collection results of all events in this batch are judged to be qualified;

[0072] S03: Determine whether the remote evaluation of the power collection service, the remote evaluation of the load collection service, and the remote evaluation of the full event collection service are all qualified. If so, it is considered qualified; if not, it is considered unqualified; the qualified refers to the qualified corresponding to the newly installed metering equipment or the qualified upgraded metering equipment;

[0073] S04: Record and handle unqualified measuring equipment; handling includes replacement and re-upgrade.

[0074] This technical solution will automatically verify the functions of newly installed and upgraded measuring equipment and evaluate the quality of the entire batch after the upgrade. The evaluation results will serve as the basis for the evaluation of the operating quality of the measuring equipment, and can achieve good results in production and management:

[0075] 1. Introduce an automated evaluation process to conduct multiple business function tests such as various power data items, load data items, full event support, and various setting parameter items, reduce manual operation and monitoring costs, and improve the level of intelligent application of the system.

[0076] 2. Comprehensively monitor the on-site operational capabilities of metering equipment after installation and upgrade, assist power companies in strengthening the full life cycle management capabilities of metering equipment, increase quality control capabilities, and trace the quality issues provided by manufacturers.

[0077] 3. By evaluating the remote business functions of metering equipment, the support for remote business functions of new and old equipment can be improved, which is conducive to the improvement of non-metering business applications of electricity meters.

[0078] The following is a further explanation of its effects based on specific data.

[0079] Evaluation case results analysis:

[0080] Based on an analysis of five batches of equipment in May and June 2020:

[0081]

[0082]

[0083] According to the evaluation results of the example, this technical solution is feasible. It proposes a method for evaluating the business functions of metering equipment and provides support for the manufacturer evaluation based on this method, saving a lot of manpower and material resources. The proposed method has certain innovation and practicality, and can be gradually applied in the quality evaluation system of metering equipment manufacturers, laying the foundation for the development and improvement of the quality control of electric energy meters in the future.

[0084] above Figure 1 The method for automated quality analysis of remote business functions of a metering device shown is a specific embodiment of the present invention, which has embodied the substantial characteristics and progress of the present invention. Based on actual use needs and under the guidance of the present invention, equivalent modifications in shape, structure, etc. can be made to the method, which are all within the protection scope of this scheme.

Claims

1. A method for automatically evaluating the quality of remote business functions of a metering device, characterized in that The following steps are involved: 1) Obtain information on installation and upgrade of metering equipment; 2) Based on the acquired metering equipment information, remote evaluation of the electricity collection service, remote evaluation of the load collection service, and remote evaluation of the full event collection service are performed on the corresponding metering equipment; 3) Determine whether the remote evaluation of the power collection service, the remote evaluation of the load collection service, and the remote evaluation of the full event collection service are all qualified. If so, it is considered qualified; if not, it is considered unqualified; the qualified refers to the qualified corresponding to the newly installed metering equipment or the qualified upgraded metering equipment; 4) Record and handle unqualified measuring equipment; handling includes replacement and re-upgrade; In step 2), the remote evaluation of the power collection service includes the following steps: 1A) Select data items for comprehensive collection and evaluation; the data items include daily frozen reverse active total electric energy, daily frozen reverse active electric energy rate 1, daily frozen reverse active electric energy rate 2, daily frozen reverse active electric energy rate 3, daily frozen reverse active electric energy rate 4, daily frozen one-quadrant total reactive electric energy indication, current one-quadrant total reactive electric energy, daily frozen four-quadrant total reactive electric energy indication, current four-quadrant total reactive electric energy, daily frozen forward active total electric energy, daily frozen forward active electric energy rate 1, daily frozen forward active electric energy rate 2, daily frozen forward active electric energy rate 3, daily frozen forward active electric energy rate; 1B) Record the collection completeness rate m days after installation or upgrade; 1C) If there is data from m days before installation, compare the total number of days m since the first installation and upgrade, the current day i, and the cumulative collection completeness rate F of the above data items success rate i , the total number of electric energy meters in this batch is N, where N represents the sum of the batch equipment currently being evaluated; Calculate the overall collection completeness rate before and after the installation and upgrade, F i Represents the overall collection completeness rate after installation and upgrade; F -i Represents the overall collection completeness rate before installation and upgrade; the calculation formula is: When |F i -F -i |>u1, u1=1%, and all data items including daily frozen reverse active total electric energy have been successfully collected, then the remote evaluation of the electric energy collection service is judged to be qualified; 1D) If there is no data from m days before installation, and the user is a new user, then a comparison is performed, the total number of days m since the first installation and upgrade, the current day i, and the cumulative collection completeness rate F of the above data items success rate i , the total number of electric energy meters in this batch is N, where N represents the sum of the batch equipment currently being evaluated. The batch is the collection of equipment from the same period, the same manufacturer, or a newly commissioned batch of equipment; The calculation formula for the overall collection completeness rate before and after the installation and upgrade is: When |F i |>u2, u2 = the average collection completeness rate, and all the above data items including the daily frozen reverse active total electric energy have been successfully collected, then the remote evaluation of the electric energy collection service is judged to be qualified.

2. According to claim 1, a method for automatically evaluating the quality of remote business functions of a metering device is characterized by: In step 1), when the metering equipment information is obtained, a unified business function automation evaluation is performed on a batch of metering equipment, and the batch refers to equipment from the same supplier, or equipment in the same upgrade period, or equipment from the same unit, or equipment in the same area, or equipment with the same solution, or equipment from the same bidding batch, or equipment from the same arrival batch.

3. A method for automatically evaluating the quality of remote business functions of a metering device according to claim 2, characterized in that: In step 2), the remote load collection success rate evaluation includes the following steps: 2A) selecting data items for comprehensive collection and evaluation, the data items including total forward active electric energy, active power, power factor, current data block, and voltage data block, the data items being obtained through call testing; 2B) Record the load collection completeness rate m days after a single device is installed or upgraded; 2C) Calculate the load collection completeness rate of all equipment, the calculation formula is: Where: Q represents the total number of batches for remote evaluation, L represents the total number of regions where batch equipment is installed, and E ij and e ij They represent the number of the i-th batch of equipment in the j-th installation area and the total load collection completeness rate after evaluating the load collection capacity available in the system; 2D) When I FHCJ >I i , where I i If it is the completeness rate of primary load collection in the whole province, then the remote evaluation of the load collection business of this batch of metering equipment is judged to be qualified.

4. A method for automatically evaluating the quality of remote business functions of a metering device according to claim 3, characterized in that: m = 7 days.

5. The method for automatically evaluating the quality of remote business functions of a metering device according to claim 2 is characterized in that: In step 2), the remote evaluation of the full event collection service includes the following steps: 3A) Select event information, including: overcurrent, open meter cover, clear energy meter, power failure, constant magnetic field interference, voltage loss, open terminal cover, undervoltage, overvoltage, voltage imbalance, time calibration, current loss, phase failure, power supply abnormality, current failure, voltage reverse phase sequence, power flow reverse, overload, power factor exceeding lower limit, demand clear, event clear, programming, switch off, switch on, total voltage loss; 3B) Conduct full event call test for all events, determine whether the collection is successful or failed, record it, and obtain the data item of the number of events that occurred; 3C) Record the total number of events as m, collect and test n times, and get an m×n matrix N, where 1 indicates successful event collection and 0 indicates failed event collection. The matrix represents the number of successful collections of each event. Use the sum() function to calculate the sum of all elements of the matrix. k = sum(sum(N)) 3D) When I FHCJ >I i , where I i In order to set the threshold of the completeness rate of the basic collection of all events, the remote evaluation results of the full event collection business of this batch are judged to be qualified.

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