CN116486590B - Ammeter data analysis system based on remote meter reading mode - Google Patents
Ammeter data analysis system based on remote meter reading mode Download PDFInfo
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- CN116486590B CN116486590B CN202310523642.9A CN202310523642A CN116486590B CN 116486590 B CN116486590 B CN 116486590B CN 202310523642 A CN202310523642 A CN 202310523642A CN 116486590 B CN116486590 B CN 116486590B
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- 230000005611 electricity Effects 0.000 claims abstract description 51
- 238000004458 analytical method Methods 0.000 claims abstract description 38
- 238000013528 artificial neural network Methods 0.000 claims description 14
- 238000001514 detection method Methods 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 5
- 238000005259 measurement Methods 0.000 claims description 3
- 238000013500 data storage Methods 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 6
- 238000012544 monitoring process Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 2
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C19/00—Electric signal transmission systems
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- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C17/00—Arrangements for transmitting signals characterised by the use of a wireless electrical link
- G08C17/02—Arrangements for transmitting signals characterised by the use of a wireless electrical link using a radio link
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention relates to a lower limit analysis application system of neighbor ammeter data based on a remote meter reading mode. The system comprises: the lower limit analysis device is used for intelligently analyzing the lower limit value of the sum of the electric quantity consumed by the residential area to be tested at the current moment based on the reference electric quantity of each adjacent area, the reference electric quantity of the local area, each configuration information, the number of each reference electric meter and the number of the on-site electric meters; the state judging device is connected with the lower limit analyzing device and is used for sending out a suspected theft electric signal when the total amount of electricity corresponding to the residential area to be measured at the current moment is smaller than the lower limit value by adopting a remote meter reading mode. By the system, the current electricity consumption lower limit of the area can be intelligently judged based on the relevant information of each electricity consumption of the area and the relevant information of each electricity consumption of surrounding areas, so that a targeted electricity theft supervision mechanism is set for the electricity consumption area with suspected electricity theft, and the manpower and material resources required by the supervision part for executing electricity theft supervision are reduced.
Description
Technical Field
The invention relates to the field of remote meter reading, in particular to a lower limit analysis application system of neighbor ammeter data based on a remote meter reading mode.
Background
At present, besides the traditional manual reading mode and infrared meter reading mode, a plurality of power supply enterprises continuously develop and try new meter reading modes to improve the efficiency and accuracy of meter reading work.
Considering the new meter reading mode, the technical advancement, the popularization economy, the use convenience and reliability and the compatibility of the system must be considered. The meter reading mode of the radio frequency meter reading terminal and the radio frequency hand-held machine is a new mode with extremely high cost performance, and is particularly suitable for meter reading of urban and rural resident users. The radio frequency meter reading terminal can realize the function of automatic meter reading by being matched with the radio frequency hand-held machine. The radio frequency meter reading terminal is arranged near the electric energy meter, acquires electric energy data of the connected electric energy meter through a 485 bus, stores the electric energy data in the FLASH memory of the terminal, and transmits the meter reading data to the handset when a meter reading person carries the radio frequency handset to reach the communication range of the terminal, so that automatic meter reading is realized.
Correspondingly, a remote meter reading mode of 'a radio frequency meter reading terminal and a remote receiving mechanism' is adopted, radio frequency signals of the radio frequency meter reading terminal are wirelessly transmitted to the remote receiving mechanism for executing remote meter reading data management, such as a big data server or a cloud server, more ammeter data can be copied in unit time, and labor cost and equipment cost of on-site meter reading are reduced.
However, the remote meter reading data management mode provides convenience for data counterfeiting and violation for each link in the field because the meter reading position occurs at a remote end. For example, some lawbreakers or users can use a power theft mode to use electricity, so that the electricity data does not pass through the radio frequency meter reading terminal and the electric energy meter, and the electricity data of the area where the lawbreaker or the user is located is abnormal. Obviously, the data disorder is trace data, and is difficult to distinguish, and meanwhile, the digital range of the data is difficult to identify, so that the region with the power consumption data disorder is difficult to detect, all the power consumption regions have to be treated all the time, and the same-strength power theft monitoring is performed, so that a large amount of manpower and material resources are wasted.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a lower limit analysis application system of neighboring cell ammeter data based on a remote meter reading mode, which can intelligently judge the lower limit of electricity consumption at the current moment of the area based on all electricity consumption related information of the area and all electricity consumption related information of surrounding areas, thereby setting a targeted electricity theft supervision mechanism for the electricity consumption area with suspected electricity theft and avoiding the electricity theft supervision of the same strength on all the electricity consumption areas.
According to an aspect of the present invention, there is provided a lower limit analysis application system for neighbor electricity meter data based on a remote meter reading mode, the system comprising:
the remote measurement mechanism is used for acquiring the total power consumption of each other residential area around the residential area to be measured at the current moment by adopting a remote meter reading mode to serve as the reference power of each neighboring area, and acquiring the total power consumption of the residential area to be measured at the same moment of the previous day and the current moment by adopting the remote meter reading mode to serve as the reference power of the local area;
the information input mechanism is used for acquiring each geographical area occupied by each other residential area around the residential area to be detected and each geographical area occupied by the residential area to be detected, simultaneously acquiring the number of residents respectively occupied by each other residential area around the residential area to be detected as the number of residents, acquiring the number of residents occupied by the residential area to be detected, and outputting each item of data input by the information input mechanism as each item of configuration information;
the electric meter detection mechanism is used for acquiring the number of electric meters adopting a remote meter reading mode in each other residential area around the residential area to be detected so as to acquire the number of reference electric meters respectively corresponding to each other residential area, and acquiring the number of electric meters adopting the remote meter reading mode in the residential area to be detected and taking the number of electric meters as the number of real electric meters;
the lower limit analysis device is respectively connected with the remote measuring mechanism, the information input mechanism and the ammeter detection mechanism and is used for intelligently analyzing the lower limit value of the sum of the electric quantity consumed by the residential area to be measured at the current moment based on the reference electric quantity of each adjacent area, the reference electric quantity of the local area, each configuration information, the number of each reference ammeter and the number of the on-site ammeter;
the state judgment device is connected with the lower limit analysis device and is used for sending out a suspected theft electric signal when the total amount of electricity corresponding to the residential area to be measured at the current moment is smaller than the lower limit value by adopting a remote meter reading mode;
the state judging device is further used for sending out a data valid signal when the total amount of electricity corresponding to the residential area to be tested at the current moment is larger than or equal to the lower limit value by adopting a remote meter reading mode.
It can be seen that the present invention has at least the following two main inventive concepts:
firstly, for each residential area to be tested, adopting an intelligent prediction model to intelligently analyze the lower limit value of the remote meter reading data of each residential area to be tested at the current moment based on the remote meter reading data of each residential area nearby at the current moment, the remote meter reading data of the residential area to be tested at the same moment in the previous day and the current moment, each residential configuration information and the quantity of the residential electric meters, thereby providing reference information for the subsequent judgment of the electricity stealing behavior;
and secondly, when the remote meter reading electric quantity at the current moment of the residential area to be detected is smaller than the lower limit value of intelligent analysis, judging that the residential area to be detected is a suspected electricity stealing area to perform key monitoring and problem investigation, so that comprehensive electricity utilization monitoring is not needed to be performed on all the residential areas.
The lower limit analysis application system of the adjacent cell ammeter data based on the remote meter reading mode is intelligent in design and wide in application. The power utilization lower limit of the current moment of the area can be intelligently judged based on the power utilization related information of the area and the power utilization related information of surrounding areas, so that a targeted power utilization monitoring mechanism is set for the power utilization area with suspected power utilization, and the manpower and material resources required by a monitoring part for executing power utilization monitoring are reduced.
Brief description of the drawings
Numerous advantages of the present invention may be better understood by those skilled in the art by reference to the accompanying drawings in which:
fig. 1 is a schematic diagram of an internal structure of a neighbor electricity meter data lower limit analysis application system based on a remote meter reading mode according to a first embodiment of the present invention.
Fig. 2 is a schematic diagram illustrating an internal configuration of a neighbor electricity meter data lower limit analysis application system based on a remote meter reading mode according to a second embodiment of the present invention.
Fig. 3 is a schematic diagram illustrating an internal structure of a lower limit analysis application system of neighbor meter data based on a remote meter reading mode according to a third embodiment of the present invention.
Detailed Description
Fig. 1 is a schematic diagram of an internal structure of a neighbor electricity meter data lower limit analysis application system based on a remote meter reading mode according to a first embodiment of the present invention, the system comprising:
the remote measurement mechanism is used for acquiring the total power consumption of each other residential area around the residential area to be measured at the current moment by adopting a remote meter reading mode to serve as the reference power of each neighboring area, and acquiring the total power consumption of the residential area to be measured at the same moment of the previous day and the current moment by adopting the remote meter reading mode to serve as the reference power of the local area;
for example, the obtaining, by using the remote meter reading mode, the total amount of electricity used by each other residential area around the residential area to be measured, where the total amount of electricity used by each other residential area corresponds to the current time, as the reference electricity of each neighboring area, and the obtaining, by using the remote meter reading mode, the total amount of electricity used by the residential area to be measured, where the total amount of electricity used by each other residential area corresponds to the same time as the current time, on the previous day, as the reference electricity of the local area includes: the method comprises the steps that a frequency division duplex communication mode is adopted, the total power consumption of each other residential area around the residential area to be measured, which corresponds to the current moment, is obtained through a wireless network to serve as the reference power of each adjacent area, and a remote meter reading mode is adopted to obtain the total power consumption of the residential area to be measured, which corresponds to the same moment of the current moment in the previous day, to serve as the reference power of the local area;
the information input mechanism is used for acquiring each geographical area occupied by each other residential area around the residential area to be detected and each geographical area occupied by the residential area to be detected, simultaneously acquiring the number of residents respectively occupied by each other residential area around the residential area to be detected as the number of residents, acquiring the number of residents occupied by the residential area to be detected, and outputting each item of data input by the information input mechanism as each item of configuration information;
the electric meter detection mechanism is used for acquiring the number of electric meters adopting a remote meter reading mode in each other residential area around the residential area to be detected so as to acquire the number of reference electric meters respectively corresponding to each other residential area, and acquiring the number of electric meters adopting the remote meter reading mode in the residential area to be detected and taking the number of electric meters as the number of real electric meters;
the lower limit analysis device is respectively connected with the remote measuring mechanism, the information input mechanism and the ammeter detection mechanism and is used for intelligently analyzing the lower limit value of the sum of the electric quantity consumed by the residential area to be measured at the current moment based on the reference electric quantity of each adjacent area, the reference electric quantity of the local area, each configuration information, the number of each reference ammeter and the number of the on-site ammeter;
the state judgment device is connected with the lower limit analysis device and is used for sending out a suspected theft electric signal when the total amount of electricity corresponding to the residential area to be measured at the current moment is smaller than the lower limit value by adopting a remote meter reading mode;
for example, the state judgment device may have a built-in static storage unit for storing the lower limit value;
the state judging device is further used for sending out a data valid signal when the total amount of electricity corresponding to the residential area to be tested at the current moment is larger than or equal to the lower limit value by adopting a remote meter reading mode.
Fig. 2 is a schematic diagram illustrating an internal configuration of a neighbor electricity meter data lower limit analysis application system based on a remote meter reading mode according to a second embodiment of the present invention.
In fig. 2, unlike fig. 1, the lower limit analysis application system of neighbor meter data based on the remote meter reading mode according to the second embodiment of the present invention may further include the following components:
the cloud service device is connected with the state judging device and is used for marking the residential area to be tested corresponding to the suspected theft electric signal as the suspected theft electric area after receiving the suspected theft electric signal;
for example, a cloud computing service network element or a cloud computing service node may be employed to implement the cloud service device.
Fig. 3 is a schematic diagram illustrating an internal structure of a lower limit analysis application system of neighbor meter data based on a remote meter reading mode according to a third embodiment of the present invention.
In fig. 3, unlike fig. 1, the lower limit analysis application system of neighbor meter data based on the remote meter reading mode according to the third embodiment of the present invention may further include the following components:
the data storage device is connected with the lower limit analysis device and is used for storing the reference electric quantity of each adjacent area, the reference electric quantity of the local area, each piece of configuration information, the number of each reference electric meter, the number of the real electric meters and the lower limit value of the total electric quantity consumed by the residential area to be tested at the current moment.
Next, the specific structure of the application system for analyzing the lower limit of the neighbor ammeter data based on the remote meter reading mode of the present invention will be further described.
In the lower limit analysis application system of the neighbor electricity meter data based on the remote meter reading mode according to various embodiments of the present invention:
the intelligent analysis of the lower limit value of the total electricity consumption of the residential area to be tested at the current moment based on the reference electricity quantity of each adjacent area, the reference electricity quantity of the local area, each piece of configuration information, the number of each reference electricity meter and the number of the on-site electricity meters comprises the following steps: establishing a feedforward neural network to intelligently analyze the lower limit value of the sum of the electric quantity consumed by the residential area to be tested at the current moment based on the reference electric quantity of each adjacent area, the reference electric quantity of the local area, each configuration information, the number of each reference electric meter and the number of the on-site electric meters;
the building of the feedforward neural network to intelligently analyze the lower limit value of the sum of the electric quantity consumed by the residential area to be tested at the current moment based on the reference electric quantity of each adjacent area, the reference electric quantity of the local area, each configuration information, the number of each reference electric meter and the number of the on-site electric meters comprises the following steps: establishing a feedforward neural network after each learning with a set number to intelligently analyze the lower limit value of the total electric quantity consumed by the residential area to be tested at the current moment based on the reference electric quantity of each adjacent area, the reference electric quantity of the local area, each configuration information, the number of each reference electric meter and the number of the on-site electric meters;
the method for establishing the feedforward neural network after each learning by adopting the set quantity to intelligently analyze the lower limit value of the total electric quantity consumed by the residential area to be tested at the current moment based on each adjacent area reference electric quantity, the local area reference electric quantity, each configuration information, each reference electric meter quantity and the on-site electric meter quantity comprises the following steps: taking each adjacent region reference electric quantity, the local region reference electric quantity, each configuration information, each reference electric meter number and the real electric meter number as parallel input signals of the feedforward neural network after each learning with a set number;
the method for establishing the feedforward neural network after each learning by adopting the set quantity to intelligently analyze the lower limit value of the total electric quantity consumed by the residential area to be tested at the current moment based on each adjacent area reference electric quantity, the local area reference electric quantity, each configuration information, each reference electric meter quantity and the on-site electric meter quantity comprises the following steps: and the value of the set number is monotonically and positively associated with the number of residents in the residential area to be tested.
And in a lower limit analysis application system of neighbor electricity meter data based on a remote meter reading mode according to various embodiments of the present invention:
the method for obtaining the total power consumption of each neighboring area by using the remote meter reading mode to obtain the total power consumption of each neighboring area corresponding to each other residential area around the residential area to be measured at the current moment, and obtaining the total power consumption of the residential area to be measured at the same moment of the previous day and the current moment by using the remote meter reading mode to obtain the total power consumption of the neighboring area as the reference power of the local area comprises the following steps: taking a plurality of residential areas covered by a round body with the residential area to be measured as a center and taking a fixed length as a radius as other residential areas around the residential area to be measured;
wherein a plurality of residential areas covered with a circle having a fixed length as a radius around the residential area to be measured as each other residential area around the residential area to be measured includes: judging that one residential area is taken as one other residential area around the residential area to be tested when most of the residential area is positioned in the round body;
wherein a plurality of residential areas covered with a circle having a fixed length as a radius around the residential area to be measured as each other residential area around the residential area to be measured includes: when a residential area is mostly outside the circle, it is judged that it does not belong to other residential areas around the residential area to be measured.
In addition, in the lower limit analysis application system of the neighboring cell ammeter data based on the remote meter reading mode, establishing a feedforward neural network after each time of learning by adopting a set number to intelligently analyze the lower limit value of the total electric quantity consumed by the residential area to be measured at the current moment based on each neighboring cell reference electric quantity, the local cell reference electric quantity, each piece of configuration information, each piece of reference ammeter quantity and the on-site ammeter quantity, wherein the lower limit value comprises: and operating the feedforward neural network after each time of learning by adopting a set number to obtain the lower limit value of the sum of the electric quantity consumed by the residential area to be tested at the current moment.
The foregoing description of the exemplary embodiments of the invention has been presented for the purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations will be apparent to practitioners skilled in the art. The exemplary embodiments were chosen and described in order to best explain the principles of the invention and its practical application, thereby enabling others skilled in the art to understand the invention for various embodiments and with various modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the following claims and their equivalents.
Claims (10)
1. A lower limit analysis application system of neighboring cell ammeter data based on a remote meter reading mode, the system comprising:
the remote measurement mechanism is used for acquiring the total power consumption of each other residential area around the residential area to be measured at the current moment by adopting a remote meter reading mode to serve as the reference power of each neighboring area, and acquiring the total power consumption of the residential area to be measured at the same moment of the previous day and the current moment by adopting the remote meter reading mode to serve as the reference power of the local area;
the information input mechanism is used for acquiring each geographical area occupied by each other residential area around the residential area to be detected and each geographical area occupied by the residential area to be detected, simultaneously acquiring the number of residents respectively occupied by each other residential area around the residential area to be detected as the number of residents, acquiring the number of residents occupied by the residential area to be detected, and outputting each item of data input by the information input mechanism as each item of configuration information;
the electric meter detection mechanism is used for acquiring the number of electric meters adopting a remote meter reading mode in each other residential area around the residential area to be detected so as to acquire the number of reference electric meters respectively corresponding to each other residential area, and acquiring the number of electric meters adopting the remote meter reading mode in the residential area to be detected and taking the number of electric meters as the number of real electric meters;
the lower limit analysis device is respectively connected with the remote measuring mechanism, the information input mechanism and the ammeter detection mechanism and is used for intelligently analyzing the lower limit value of the sum of the electric quantity consumed by the residential area to be measured at the current moment based on the reference electric quantity of each adjacent area, the reference electric quantity of the local area, each configuration information, the number of each reference ammeter and the number of the on-site ammeter;
the state judgment device is connected with the lower limit analysis device and is used for sending out a suspected theft electric signal when the total amount of electricity corresponding to the residential area to be measured at the current moment is smaller than the lower limit value by adopting a remote meter reading mode;
the state judging device is further used for sending out a data valid signal when the total amount of electricity corresponding to the residential area to be tested at the current moment is larger than or equal to the lower limit value by adopting a remote meter reading mode.
2. The remote meter reading mode based lower limit analysis application system of neighbor meter data according to claim 1, wherein the system further comprises:
the cloud service device is connected with the state judging device and is used for marking the residential area to be tested corresponding to the suspected electric signal as the suspected electric larceny area after the suspected electric signal is received.
3. The remote meter reading mode based lower limit analysis application system of neighbor meter data according to claim 1, wherein the system further comprises:
the data storage device is connected with the lower limit analysis device and is used for storing the reference electric quantity of each adjacent area, the reference electric quantity of the local area, each piece of configuration information, the number of each reference electric meter, the number of the real electric meters and the lower limit value of the total electric quantity consumed by the residential area to be tested at the current moment.
4. A lower limit analysis application system for neighbor meter data based on a remote meter reading mode as claimed in any one of claims 1 to 3, wherein:
the intelligent analysis of the lower limit value of the total electricity consumption of the residential area to be tested at the current moment based on the reference electricity quantity of each adjacent area, the reference electricity quantity of the local area, each piece of configuration information, the number of each reference electricity meter and the number of the on-site electricity meters comprises the following steps: and establishing a feedforward neural network to intelligently analyze the lower limit value of the sum of the electric quantity consumed by the residential area to be tested at the current moment based on the reference electric quantity of each adjacent area, the reference electric quantity of the local area, each configuration information, the number of each reference electric meter and the number of the on-site electric meters.
5. The lower limit analysis application system of the neighboring cell ammeter data based on the remote meter reading mode as claimed in claim 4, wherein:
the building of the feedforward neural network to intelligently analyze the lower limit value of the sum of the electric quantity consumed by the residential area to be tested at the current moment based on the reference electric quantity of each adjacent area, the reference electric quantity of the local area, each configuration information, the number of each reference electric meter and the number of the on-site electric meters comprises the following steps: and establishing a feedforward neural network after each learning with a set number to intelligently analyze the lower limit value of the total electric quantity consumed by the residential area to be tested at the current moment based on the reference electric quantity of each adjacent area, the reference electric quantity of the local area, each configuration information, the number of each reference electric meter and the number of the on-site electric meters.
6. The lower limit analysis application system of the neighboring cell ammeter data based on the remote meter reading mode as claimed in claim 5, wherein:
the building of the feedforward neural network after each learning with the set number to intelligently analyze the lower limit value of the total electric quantity consumed by the residential area to be tested at the current moment based on the reference electric quantity of each adjacent area, the reference electric quantity of the local area, each configuration information, the number of each reference electric meter and the number of the on-site electric meters comprises the following steps: and taking the reference electric quantity of each adjacent region, the reference electric quantity of the local region, each piece of configuration information, the number of each reference ammeter and the number of the real ammeter as parallel input signals of the feedforward neural network after each learning with the set number.
7. The lower limit analysis application system of the neighboring cell ammeter data based on the remote meter reading mode as claimed in claim 6, wherein:
the building of the feedforward neural network after each learning with the set number to intelligently analyze the lower limit value of the total electric quantity consumed by the residential area to be tested at the current moment based on the reference electric quantity of each adjacent area, the reference electric quantity of the local area, each configuration information, the number of each reference electric meter and the number of the on-site electric meters comprises the following steps: and the value of the set number is monotonically and positively associated with the number of residents in the residential area to be tested.
8. A lower limit analysis application system for neighbor meter data based on a remote meter reading mode as claimed in any one of claims 1 to 3, wherein:
the method for obtaining the total power consumption of each neighboring area by using the remote meter reading mode to obtain the total power consumption of each neighboring area corresponding to each other residential area around the residential area to be measured at the current moment, and obtaining the total power consumption of the residential area to be measured at the same moment of the previous day and the current moment by using the remote meter reading mode to obtain the total power consumption of the neighboring area as the reference power of the local area comprises the following steps: and taking a plurality of residential areas covered by a round body with the residential area to be measured as a center and taking a fixed length as a radius as other residential areas around the residential area to be measured.
9. The lower limit analysis application system of the neighboring cell ammeter data based on the remote meter reading mode as claimed in claim 8, wherein:
a plurality of residential areas covered with a circle having a fixed length as a radius around the residential area to be measured as each other residential area around the residential area to be measured includes: when a residential area is mostly located within the circle, it is judged as one other residential area around the residential area to be measured.
10. The lower limit analysis application system of the neighboring cell ammeter data based on the remote meter reading mode as claimed in claim 9, wherein:
a plurality of residential areas covered with a circle having a fixed length as a radius around the residential area to be measured as each other residential area around the residential area to be measured includes: when a residential area is mostly outside the circle, it is judged that it does not belong to other residential areas around the residential area to be measured.
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| CN202310523642.9A CN116486590B (en) | 2023-05-10 | 2023-05-10 | Ammeter data analysis system based on remote meter reading mode |
| GBGB2318190.2A GB202318190D0 (en) | 2023-05-10 | 2023-11-29 | Electricity meter data analysis system based on remote meter reading mode |
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| CN202310523642.9A CN116486590B (en) | 2023-05-10 | 2023-05-10 | Ammeter data analysis system based on remote meter reading mode |
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| GB202318190D0 (en) | 2024-01-10 |
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