A multi-dimensional data-based parameter differentiation correction system for electric energy meters

Abstract

The application discloses a kind of based on multi-dimensional data's electric energy meter parameter differentiation correction system, it is related to electric energy meter technical field, including monitoring center, the monitoring center communication connection has edge terminal, data processing module, data analysis module and data correction module;The environmental parameters of the location of parent table and the location of the child table associated with the same parent table are collected, and the influence of the collected environmental parameters on the electric meter operation data is analyzed, and then it is judged whether the environmental parameters cause negative influence on the reading of electric meter, after causing negative influence, eliminate the negative influence of environmental parameters on reading, further judge whether the reading of electric meter is abnormal, and the abnormality is additionally displayed, the application eliminates the negative influence of environmental factors on the certainty of electric meter reading, so that the reading of electric meter is as close to the true value as possible.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of electric energy meters, and particularly relates to an electric energy meter parameter differentiation correction system based on multidimensional data. BACKGROUND

[0002] As indispensable metering equipment in a power system, the metering accuracy of an electric energy meter is directly related to the economic interests between a power enterprise and a user, and is also a key basis for evaluating the operation efficiency and stability of the power system; with the continuous development of the power market and the continuous increase in the number of power users, the requirement for the metering accuracy of the electric energy meter is increasingly improved; accurate electric energy metering is helpful for a power enterprise to reasonably formulate an electricity price, optimize power resource distribution, and also helps guarantee the legal rights and interests of the user and promote the fair, just and orderly development of the power market.

[0003] The reading of the electric energy meter is easily affected by temperature and humidity in actual operation, so that the reading and the actual power consumption exist deviation, and the deviation also affects the judgment of whether other abnormalities exist in the electric energy meter, therefore, the application provides the electric energy meter parameter differentiation correction system based on multidimensional data. SUMMARY

[0004] The application aims to provide the electric energy meter parameter differentiation correction system based on multidimensional data.

[0005] The application can be realized by the following technical scheme: the electric energy meter parameter differentiation correction system based on multidimensional data comprises a monitoring center, and the monitoring center is in communication connection with an edge terminal, a data processing module, a data analysis module and a data correction module;

[0006] The edge terminal is arranged at the positions of each electric meter in a transformer area, and obtains the environmental parameters and the electric meter operation data at the positions of the electric meters.

[0007] The data processing module is used for processing the environmental parameters and the electric meter operation parameters, and obtaining a stage electric meter data package.

[0008] The data analysis module is used for analyzing the environmental parameters and the electric meter operation parameters in the stage electric meter data package, and judging the electric meter data differentiation.

[0009] The data correction module is used for generating a data correction strategy according to the electric meter data differentiation judgment result.

[0010] Further, the electric meter comprises a plurality of parent meters and child meters, each parent meter is associated with no less than two child meters, and the positions of the parent meters and the child meters in the transformer area are obtained.

[0011] The edge terminal is deployed in each parent meter and child meter, and the environmental parameters and the meter operation data of the location where each parent meter and child meter is located are obtained through the edge terminal;

[0012] The environmental parameters include temperature and humidity.

[0013] The meter operation data includes data update frequency, meter reading value after each update, total running time of the meter, and real-time running power of the location.

[0014] The environmental parameters and the meter operation data corresponding to each parent meter and child meter obtained by the edge terminal are processed by the data processing module.

[0015] Further, the processing process of the data processing module on the environmental parameters and the meter operation parameters includes:

[0016] The data update frequency of each child meter is set. It should be noted that the data update frequencies of the child meters associated with the same parent meter are the same.

[0017] According to the set data update frequency, the meter reading value of the child meter after each update is obtained.

[0018] According to the number of child meters associated with the parent meter, the data update frequency of the parent meter is set. It should be noted that the data update frequency of the parent meter is positively correlated with the number of associated child meters, and the data update frequency of the parent meter is less than the data update frequency of the child meter.

[0019] The child meters associated with the same parent meter are labeled and denoted as i, where i=1, 2, …n.

[0020] According to the data update frequency of the parent meter, the meter reading value and the environmental parameters of each child meter after each update are summarized to obtain the corresponding stage meter data package. It can be known that each update of the parent meter corresponds to a stage meter data package.

[0021] Further, the process of analyzing the environmental parameters and the meter operation parameters in the stage meter data package by the data analysis module is as follows:

[0022] The appropriate working temperature range and working humidity threshold of the meter are set and denoted as [w1, w2] and d, respectively.

[0023] The obtained stage meter data package is parsed to obtain the environmental parameters and the meter reading of each update of each child meter.

[0024] Each update of the child meter is labeled and denoted as j, where j=1, 2, …m.

[0025] The temperature corresponding to the jth update is denoted as , and the humidity is denoted as , the meter reading is recorded as ;

[0026] The meter reading of each phase meter data packet is matched with the corresponding meter reading of the master meter and the environmental parameters, and the corresponding meter reading of the master meter is recorded as , the temperature is recorded as , and the humidity is recorded as ;

[0027] The influence coefficient of the environmental parameters on the meter reading of each sub-meter is obtained, and the temperature influence coefficient of the sub-meter with label i is recorded as , and the humidity influence coefficient is recorded as ;

[0028] The temperature influence coefficient of the environmental parameters on the meter reading of the master meter is obtained, and is recorded as , and the humidity influence coefficient is recorded as ;

[0029] The difference amount of the meter reading of each sub-meter is obtained, and is recorded as , wherein:

[0030]

[0031] wherein, represents the meter reading increment of the label j=1 update and the label j=n update, represents the difference between the temperature and the suitable working temperature range, represents the difference between the humidity and the working humidity threshold, represents the time corresponding to the start of the jth update, represents the time corresponding to the end of the jth update, represents the real-time running power during the jth update from the start to the end; it should be noted that when ∈[w1, w2], then =0, when <w1, then =w1- , when >w2, then = -w2; when ≤d, then =0, when >d, then is a proportional coefficient, and the unit is humidity;

[0032] Further, the difference amount of the meter reading of each master meter is obtained, and is recorded as , wherein:

[0033]

[0034] wherein, is the increment of the meter reading value of the master meter, is the difference between the temperature and the appropriate working temperature range, is the difference between the humidity of the master meter and the working humidity threshold value, The calculation method of is the same as that of the sub-meter, and is not described here. t1 is the starting time of the master meter update, t2 is the ending time of the master meter update, and P is the real-time running power during the period from the starting time to the ending time of the master meter update.

[0035] Further, the process of judging the difference of the meter data is specifically:

[0036] A difference value coefficient threshold value is set, denoted as Ck;

[0037] The difference value coefficient of each sub-meter is obtained, denoted as Ci, and the obtained difference value coefficient of each sub-meter is compared with the difference value coefficient threshold value, and whether the reading difference of each sub-meter is abnormal is judged according to the comparison result; wherein Ci= / ;

[0038] When Ci≤Ck, it indicates that the reading difference of the sub-meter is within the expected range in this stage judgment process;

[0039] When Ci>Ck, it indicates that the reading of the sub-meter is abnormal in this stage judgment process, and a sub-meter data correction instruction is generated;

[0040] The difference value coefficient of the master meter is obtained, denoted as Mx, and the obtained difference value coefficient of the master meter is compared with the set difference value coefficient threshold value, and whether the reading difference of the master meter is abnormal is judged according to the comparison result, wherein:

[0041]

[0042] When Mx≤Ck, it indicates that the reading difference of the master meter is within the expected range in this stage judgment process;

[0043] When Mx>Ck, it indicates that the reading of the master meter is abnormal in this stage judgment process, and a master meter data correction instruction is generated.

[0044] Further, the process of generating the data correction strategy by the data correction module according to the judgment result of the meter data difference includes:

[0045] When the sub-meter data correction instruction is generated, the meter reading value of each update of the sub-meter is corrected, and the corrected reading value is ​ represents the jth updated electric meter reading increment, and the abnormal reading difference is shown as When the master table data correction instruction is generated, the updated electric meter reading of the master table is corrected, and the corrected reading is and the abnormal reading difference is shown as

[0046] Compared with the prior art, the beneficial effects of the present application are:

[0047] The environmental parameters of the location of the master table and the location of the sub-table associated with the same master table are collected, and the influence of the collected environmental parameters on the electric meter operation data is analyzed, and then it is judged whether the environmental parameters have a negative impact on the reading of the electric meter. After eliminating the negative impact of the environmental parameters on the reading, it is further judged whether the reading of the electric meter is abnormal, and the abnormality is additionally displayed. The present application eliminates the negative impact of environmental factors on the certainty of the reading of the electric meter, so that the reading of the electric meter is as close to the true value as possible. At the same time, under the premise of eliminating the negative impact of environmental factors, the abnormal difference is further analyzed to assist the technician to judge whether the corresponding electric meter has other abnormal conditions, which is beneficial to the maintenance of the electric meter in the later period. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments or the prior art, the drawings needed in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments described in the present application, and other drawings can also be obtained by those skilled in the art based on these drawings.

[0049] Figure 1 The schematic diagram of the present application. DETAILED DESCRIPTION

[0050] As shown in Figure 1 A power meter parameter differentiation correction system based on multi-dimensional data, comprising a monitoring center, the monitoring center is in communication with an edge terminal, a data processing module, a data analysis module and a data correction module;

[0051] The edge terminal is deployed at the location of each electric meter in the transformer area, and obtains the environmental parameters and the electric meter operation data at the location of the electric meter.

[0052] The data processing module is used for processing the environmental parameters and the electric meter operation parameters to obtain the stage electric meter data packet.

[0053] The data analysis module is used for analyzing the environmental parameters and the electric meter operation parameters in the stage electric meter data packet to judge the electric meter data difference.

[0054] The data correction module is used to generate data correction strategies based on the results of the discrepancies in the electricity meter data.

[0055] It should be further explained that the electricity meter includes several master meters and sub-meters, and each master meter is associated with no less than two sub-meters to obtain the location of the master meters and sub-meters within the transformer area;

[0056] Edge terminals are deployed in each parent and child meter, and environmental parameters and meter operation data of each parent and child meter are obtained through the edge terminals.

[0057] The environmental parameters include temperature and humidity;

[0058] The meter's operating data includes the data update frequency, the meter reading after each update, the total operating time of the meter, and the real-time operating power at its location;

[0059] The data processing module processes the environmental parameters and meter operation data corresponding to each master and sub-meters obtained by the edge terminal.

[0060] It should be further explained that the data processing module's processing of environmental parameters and electricity meter operating parameters includes:

[0061] Set the data update frequency for each sub-table; it should be noted that the data update frequency of each sub-table associated with the same parent table is the same.

[0062] Based on the set data update frequency, obtain the meter reading after each update of the sub-table;

[0063] Set the data update frequency of the parent table based on the number of child tables associated with it. It should be noted that the data update frequency of the parent table is positively correlated with the number of child tables associated with it, and the data update frequency of the parent table is less than that of the child tables.

[0064] The child tables associated with the same parent table are labeled with numbers, denoted as i, where i = 1, 2, ..., n;

[0065] Based on the data update frequency of the parent table, the meter readings and environmental parameters of each child table are summarized for each update to obtain the corresponding phased meter data package. It can be seen that each update of the parent table corresponds to a phased meter data package.

[0066] It should be further explained that, in the specific implementation process, the data analysis module analyzes the environmental parameters and meter operating parameters within the periodic meter data package as follows:

[0067] Suitable working temperature range and working humidity threshold of the electric meter are set, respectively recorded as [w1, w2] and d; it is to be noted that the suitable working temperature range and working humidity threshold of each electric meter are the same by default;

[0068] The obtained stage electric meter data packet is analyzed to obtain the environmental parameters and electric meter readings of each update of each sub-meter;

[0069] Each update of the sub-meter is labeled, recorded as j, where j=1, 2, …m;

[0070] The temperature corresponding to the jth update is recorded as , the humidity is recorded as , and the electric meter reading is recorded as ; each stage electric meter data packet is corresponded with the electric meter reading and environmental parameters of the parent meter, the corresponding parent meter electric meter reading is recorded as , the temperature is recorded as , and the humidity is recorded as ; the influence coefficient of the environmental parameters on the sub-meter reading at the location of each sub-meter is obtained, then the temperature influence coefficient of the sub-meter labeled i is recorded as , and the humidity influence coefficient is recorded as ; the temperature influence coefficient of the environmental parameters on the parent meter reading at the location of the parent meter is obtained, recorded as , and the humidity influence coefficient is recorded as ; the electric meter reading difference of each sub-meter is obtained, recorded as , where:

[0071]

[0072] wherein, represents the electric meter reading increment of the update labeled j=1 and the update labeled j=n, represents the difference between the temperature and the suitable working temperature range, represents the difference between the humidity and the working humidity threshold, represents the time corresponding to the start of the jth update, represents the time corresponding to the end of the jth update, represents the real-time running power during the period from the start to the end of the jth update; it is to be noted that when ∈[w1, w2], then =0, when <w1, then =w1- , when >w2, then = -w2; when ≤d, then = 0, when > d, then is a proportional coefficient, with humidity as the unit; the difference between the meter reading values of each parent meter is obtained, denoted as , wherein:

[0073]

[0074] , wherein, is the increment of the meter reading value of the parent meter, is the difference between the temperature and the appropriate working temperature range, is the difference between the humidity of the parent meter and the working humidity threshold value, , The calculation method of is the same as that of the child meter, and is not described here. t1 is the starting time of the parent meter update, t2 is the ending time of the parent meter update, and P is the real-time running power during the period from the starting time to the ending time of the parent meter update.

[0075] The environmental parameters of the location of the parent meter and the location of the child meter associated with the same parent meter are collected, and the influence of the collected environmental parameters on the meter running data is analyzed, and then it is judged whether the environmental parameters have a negative impact on the meter reading value.

[0076] It needs to be further explained that, in the specific implementation process, the process of judging the difference of the meter data is specifically:

[0077] A difference value coefficient threshold value is set, denoted as Ck;

[0078] The difference value coefficient of each child meter is obtained, denoted as C i The obtained difference value coefficient of each child meter is compared with the difference value coefficient threshold value, and it is judged whether the reading difference of each child meter is abnormal according to the comparison result; wherein C i = / ; when C i ≤ Ck, it means that the reading difference of the child meter is within the expected range in this phase judgment process;

[0079] When C i > Ck, it means that the reading of the child meter is abnormal in this phase judgment process, and a child meter data correction instruction is generated;

[0080] The difference value coefficient of the parent meter is obtained, denoted as Mx, and the obtained difference value coefficient of the parent meter is compared with the set difference value coefficient threshold value, and it is judged whether the reading difference of the parent meter is abnormal according to the comparison result, wherein:

[0081]

[0082] When Mx≤Ck, it means that the reading value difference is within the expected range in this stage judgment process of the parent table;

[0083] When Mx>Ck, it means that the reading value is abnormal in this stage judgment process of the parent table, and the parent table data correction instruction is generated.

[0084] It needs to be further explained that in the specific implementation process, the process of generating the data correction strategy by the data correction module according to the electric meter data difference judgment result includes:

[0085] When the child table data correction instruction is generated, the electric meter reading value updated each time of the child table is corrected, and the corrected reading value is It means that the jth updated electric meter reading value increment is displayed, and the abnormal reading value difference is When the parent table data correction instruction is generated, the updated electric meter reading value of the parent table is corrected, and the corrected reading value is And the abnormal reading value difference is

[0086] By eliminating the negative impact of environmental factors on the certainty of the electric meter reading value, the reading value of the electric meter is as close to the true value as possible. At the same time, under the premise of eliminating the negative impact of environmental factors, the abnormal difference value is further analyzed to assist the technical personnel to judge whether the corresponding electric meter has other abnormal conditions, which is conducive to the maintenance of the electric meter in the later period.

[0087] The above is only a preferred embodiment of the present application, and does not limit the present application in any form. Although the present application has been disclosed as above with a preferred embodiment, it is not intended to limit the present application. Any person skilled in the art can make some changes or modifications to the above disclosed technical content to obtain equivalent embodiments with equivalent changes, without departing from the scope of the technical solution of the present application. Any modification or equivalent replacement of the above embodiments according to the technical essence of the present application, which does not depart from the technical solution of the present application, still belongs to the scope of the technical solution of the present application.

Claims

1. A multi-dimensional data-based energy meter parameter difference correction system, comprising a monitoring center, characterized in that, The monitoring center is connected to an edge terminal, a data processing module, a data analysis module, and a data correction module. Edge terminals are deployed at the locations of various electricity meters within the distribution area to acquire environmental parameters and meter operation data at the meter locations. The data processing module is used to process environmental parameters and meter operating parameters to obtain periodic meter data packets; The data analysis module is used to analyze the environmental parameters and meter operating parameters in the periodic meter data packets to determine the differences in meter data. The data correction module is used to generate data correction strategies based on the judgment results of the differences in electricity meter data; The data analysis module analyzes the environmental parameters and meter operating parameters contained in the periodic meter data package as follows: Set the suitable operating temperature range and operating humidity threshold of the meter, denoted as [w1, w2] and d respectively; The obtained phased meter data packets are parsed to obtain the environmental parameters and meter readings of each sub-meter for each update. Each update of the sub-table is labeled and denoted as j, where j = 1, 2, ..., m; Then the temperature corresponding to the j-th update is denoted as Humidity is recorded as The meter reading is recorded as ; Each stage of the meter data package is correlated with the corresponding meter readings and environmental parameters of the main meter, and the corresponding main meter readings are recorded as follows: Temperature is recorded as Humidity is recorded as ; Obtain the influence coefficient of the environmental parameters at the location of each sub-table on the sub-table readings, and then denote the temperature influence coefficient corresponding to the sub-table labeled i as . The humidity influence coefficient is denoted as ; The temperature influence coefficient of the environmental parameters at the location of the master meter on the master meter reading is obtained and denoted as . The humidity influence coefficient is denoted as ; The difference in meter readings for each sub-meter is then obtained and denoted as... ,in: ； in, This represents the increment of the meter reading for update j=1 and update j=n. This represents the difference between the temperature and the suitable operating temperature range. This represents the difference between the humidity level and the operating humidity threshold, and when... When ∈[w1, w2], then =0, when When <w1, then =w1- ,when When >w2, then = -w2; when When ≤d, then =0, when When >d, then = , This is a proportionality coefficient, with the unit being humidity; This represents the time corresponding to the start of the j-th update. This represents the time corresponding to the end of the j-th update. This represents the real-time running power from the start to the end of the j-th update; The difference in the meter readings for each master meter is obtained and denoted as... ,in: ； in, This is the increment of the main meter reading. This indicates the difference between the temperature of the master meter and the suitable operating temperature range. This represents the difference between the humidity of the master meter and the operating humidity threshold. , The calculation method is the same as that of the sub-table. t1 is the start time of the parent table update, t2 is the end time of the parent table update, and P is the real-time running power during the period from the start to the end of the parent table update.

2. The energy meter parameter difference correction system based on multidimensional data according to claim 1, characterized in that, The electricity meter includes several master meters and sub-meters, and each master meter is associated with no less than two sub-meters; Edge terminals are deployed in each parent and child meter, and environmental parameters and meter operation data of each parent and child meter are obtained through the edge terminals. The environmental parameters include temperature and humidity; The meter's operating data includes the data update frequency, the meter reading after each update, the total operating time of the meter, and the real-time operating power at its location.

3. The energy meter parameter difference correction system based on multidimensional data according to claim 2, characterized in that, The data processing module's processing of environmental parameters and electricity meter operating parameters includes: Set the data update frequency for each sub-table; Based on the set data update frequency, obtain the meter reading after each update of the sub-table; Set the data update frequency of the parent table based on the number of child tables associated with it; Based on the data update frequency of the master table, the meter readings and environmental parameters of each sub-table are summarized each time they are updated to obtain the corresponding periodic meter data package.

4. The energy meter parameter difference correction system based on multidimensional data according to claim 3, characterized in that, The process of determining the discrepancy in electricity meter data is as follows: Set a threshold value for the difference coefficient, denoted as Ck; Obtain the difference coefficient of each sub-table, denoted as Ci. Compare the obtained difference coefficient of each sub-table with the difference coefficient threshold. Based on the comparison results, determine whether there is any abnormality in the difference of the reading values ​​of each sub-table. When Ci≤Ck, it means that the difference in reading values ​​of this sub-table is within the expected range during this stage of judgment. When Ci > Ck, it indicates that the sub-table has an abnormal reading value during this stage of judgment, and a sub-table data correction instruction is generated. Obtain the difference coefficient of the parent table, denoted as Mx. Compare the obtained difference coefficient of the parent table with the set difference coefficient threshold. Based on the comparison result, determine whether there is any abnormality in the difference of the parent table's read values. When Mx≤Ck, it means that the difference in readings of the parent table during this stage of judgment is within the expected range; When Mx > Ck, it indicates that the parent table has an abnormal reading value during this stage of judgment, and a parent table data correction instruction is generated.

5. The energy meter parameter difference correction system based on multidimensional data according to claim 4, characterized in that, The data correction module generates a data correction strategy based on the results of the meter data discrepancy assessment. The process includes: When a sub-table data correction instruction is generated, the meter readings updated in the sub-table are corrected to obtain the corrected readings and the difference between the abnormal readings. When a master meter data correction instruction is generated, the updated meter readings of the master meter are corrected to obtain the corrected readings and the difference between the abnormal readings.

6. The energy meter parameter difference correction system based on multidimensional data according to claim 3, characterized in that, The data in each child table associated with the same parent table is updated at the same frequency.

7. The energy meter parameter difference correction system based on multidimensional data according to claim 3, characterized in that, The data update frequency of the parent table is positively correlated with the number of associated child tables, and the data update frequency of the parent table is less than that of the child tables.

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