Electric meter operation management method and system, medium and electronic equipment
By obtaining user electricity usage information, selecting appropriate meters and assigning personnel, and using neural network models to optimize meter selection and operation management, the problem of inconsistent meter specifications is solved, and scientific and efficient meter installation and operation management is achieved.
Patent Information
- Application Number
- CN202210260697.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-03-16
- Publication Date
- 2025-09-19
- Estimated Expiration
- 2042-03-16
AI Technical Summary
The existing electricity meter selection method is not scientific enough, resulting in the mismatch between meter specifications and actual needs, affecting production and life, and unreasonable allocation of human resources.
By obtaining the electricity consumption information of the users to be operated, selecting the appropriate target meter, generating tasks based on the electricity consumption information, confirming the appropriate operators, generating installation work orders, and using neural network models to predict meter information, the meter selection and personnel arrangement are optimized.
It improves the scientific nature of electricity meter selection, rationally arranges operating personnel, saves labor costs, ensures operational safety, reduces meter damage rate, and ensures normal electricity use for users.
Smart Images

Figure CN114925952B_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of power management, and in particular to an electric meter operation management method and system, a medium, and an electronic device. Background Art
[0002] With the development of society, electricity consumption in production and life continues to increase. In order to better meet the needs of electricity control and measurement, a more scientific method is needed to select electricity meters.
[0003] The existing method of selecting electricity meters mainly roughly selects electricity meters based on the power supply method, electricity consumption nature, electricity load, and user category. It is easy for the specifications of the electricity meter to not meet the actual needs, resulting in damage to the electricity meter and affecting people's production and life.
[0004] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute prior art known to ordinary technicians in the field. Summary of the Invention
[0005] The purpose of the present disclosure is to provide an electric meter operation management method and system, medium and electronic equipment, which can improve the scientific nature of electric meter selection at least to a certain extent, and can more reasonably arrange suitable operators, thereby saving labor costs and ensuring operation safety.
[0006] Other features and advantages of the present disclosure will become apparent from the following detailed description, or may be learned in part by practice of the present disclosure.
[0007] According to one aspect of the present disclosure, a method for managing electric meter operations is provided, comprising: obtaining first electricity usage information of a user to be operated; selecting a target electric meter based on the first electricity usage information of the user to be operated; generating a target task based on the first electricity usage information of the user to be operated and the target electric meter, and confirming a target operator to be assigned; and generating an installation work order for the target electric meter in response to the target operator completing the target task.
[0008] According to another aspect of the present disclosure, an electricity meter operation management system is provided, including: an acquisition module: used to acquire first electricity usage information of a user to be operated; a selection module: used to select a target electricity meter based on the first electricity usage information of the user to be operated; a first generation module: used to generate a target task based on the first electricity usage information of the user to be operated and the target electricity meter, and confirm the target operator to be assigned; a second generation module: used to generate an installation work order for the target electricity meter in response to the target operator completing the target task.
[0009] According to another aspect of the present disclosure, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the electric meter operation management method as described in the embodiment when executing the computer program.
[0010] According to another aspect of the present disclosure, a readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the electric meter operation management method as described in the embodiment is implemented.
[0011] The technical solutions provided by the embodiments of the present disclosure may have the following beneficial effects:
[0012] In the technical solutions provided in some embodiments of the present disclosure, the following control is performed, including: obtaining first electricity usage information of a user to be operated; selecting a target electricity meter based on the first electricity usage information of the user to be operated; generating a target task based on the first electricity usage information of the user to be operated and the target electricity meter, and confirming a target operator to be assigned; and generating an installation work order for the target electricity meter in response to the target operator completing the target task. Through the above steps, the present disclosure improves the scientific nature of electricity meter selection and can more reasonably arrange suitable operators, thereby saving labor costs and ensuring operational safety.
[0013] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] The accompanying drawings are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification, are used to explain the principles of the present disclosure. Obviously, the drawings described below are only some embodiments of the present disclosure, and those skilled in the art can derive other drawings based on these drawings without inventive effort.
[0015] Figure 1 A schematic diagram schematically illustrates an exemplary application scenario to which the electric meter operation management method according to an embodiment of the present disclosure can be applied.
[0016] Figure 2 The flowchart of the electric meter operation management method according to an exemplary embodiment of the present disclosure is schematically shown.
[0017] Figure 3 The flowchart of selecting a target electricity meter according to an exemplary embodiment of the present disclosure is schematically shown.
[0018] Figure 4 The flowchart of installing a target electricity meter according to an exemplary embodiment of the present disclosure is schematically shown.
[0019] Figure 5 The flowchart for analyzing the cause of an electric meter failure according to an exemplary embodiment of the present disclosure is schematically shown.
[0020] Figure 6 The structure of the electricity meter operation management system according to an exemplary embodiment of the present disclosure is schematically shown.
[0021] Figure 7 The structure of another electricity meter operation management system according to an exemplary embodiment of the present disclosure is schematically shown.
[0022] Figure 8 The figure schematically shows a structural diagram of an electronic device according to an exemplary embodiment of the present disclosure. DETAILED DESCRIPTION
[0023] In order to make the objectives, technical solutions and advantages of the present disclosure more clear, the embodiments of the present disclosure will be further described in detail below with reference to the accompanying drawings.
[0024] When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of systems and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
[0025] In the description of the present disclosure, it should be understood that the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance. For those skilled in the art, the specific meanings of the above terms in the present disclosure can be understood according to specific circumstances. In addition, in the description of the present disclosure, unless otherwise specified, "plurality" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent three situations: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the previous and subsequent associated objects are in an "or" relationship.
[0026] refer to Figure 1 , which shows a schematic diagram of an exemplary application scenario in which the electric meter operation management method according to an embodiment of the present disclosure can be applied.
[0027] like Figure 1As shown, it includes a management server 110, a target operator 120, a user to be operated 130, and the electricity usage information 140 of the above-mentioned user to be operated 130. The above-mentioned management server 110 is used to obtain the electricity usage information 140 of the user to be operated 130, and select the target electricity meter, generate the target task, and confirm the above-mentioned target operator 120 based on the above-mentioned electricity usage information 140. It is also used to receive the target task completion progress feedback from the above-mentioned target operator in the power management micro-application via the Internet. The above-mentioned target operator 120 refers to power operators with different levels of power professional skills. The above-mentioned electricity usage information 140 includes but is not limited to: power supply mode, power consumption nature, power load, and user category.
[0028] The following will be combined with the attached Figure 2 -Attached Figure 5 , the electric meter operation management method provided by the embodiment of the present disclosure is introduced in detail.
[0029] in, Figure 2 The flowchart of the electric meter operation management method according to an exemplary embodiment of the present disclosure is schematically shown. Figure 2 , the meter operation management method shown in the figure includes:
[0030] S210: Obtain first electricity usage information of the user to be operated.
[0031] In an exemplary embodiment, referring to Figure 1 The management server 110 obtains the first electricity usage information of the user to be operated 130. The first electricity usage information refers to the household electricity usage information of any user.
[0032] Optionally, the management server 110 may obtain the first electricity usage information of the user 130 through a method including but not limited to: email and filling out an online questionnaire.
[0033] S220: Select a target electricity meter according to the first electricity usage information of the user to be operated.
[0034] In an exemplary embodiment, referring to Figure 1 The management server 110 selects the target electricity meter based on the first electricity usage information of the user to be operated 130. The target electricity meter refers to an electricity meter that meets the usage requirements of the user to be operated 130. The types of the target electricity meter include, but are not limited to, active energy meters, reactive energy meters, induction energy meters, and static energy meters.
[0035] S230: Generate a target task based on the first electricity usage information of the user to be operated and the target electricity meter, and confirm the target operator to be assigned.
[0036] In an exemplary embodiment, referring to Figure 1 The management server 110 generates the target task according to the first electricity usage information of the user to be operated 130 and the target electricity meter, and confirms the target operator 120 to be assigned.
[0037] Specifically, after generating the target task, the management server 110 extracts the task difficulty characteristics of the target task and selects target workers 120 who are capable of completing the target task. The task difficulty characteristics include, but are not limited to, the difficulty of meter wiring, the safety of the meter installation environment, and the complexity of the power supply path.
[0038] Optionally, the target operator can install a power management micro-application on a mobile terminal, and receive the target meter information and the target task from the management server 110 via the Internet in the power management micro-application. The mobile terminal includes but is not limited to a mobile phone, tablet, and laptop computer.
[0039] S240 : In response to the target operator completing the target task, generating an installation work order for the target electricity meter.
[0040] In an exemplary embodiment, referring to Figure 1 In response to the target operator 120 completing the target task, the management server 110 generates an installation work order for the target electricity meter.
[0041] Specifically, after the target operator 120 completes the target task, the user to be assigned 130 will be asked to confirm the accuracy of the information in the installation work order. After the user to be assigned 130 confirms the accuracy of the information in the installation work order, they will retain text, voice, or video as evidence of the installation work order. After saving the evidence of the installation work order, the target operator 120 sends the confirmed installation work order information to the management server 110 via the power management micro-app, so that the management server 110 saves the confirmed installation work order information in the task database.
[0042] Figure 2 The technical solution provided by the illustrated embodiment obtains the first electricity usage information of the user to be operated, selects the target electricity meter based on the above first electricity usage information, generates the target task based on the above first electricity usage information of the user to be operated and the above target electricity meter, and finally confirms the target operator to be delegated. This improves the scientific nature of the selection of electricity meters and can more reasonably arrange suitable operators, thereby saving labor costs and ensuring operation safety.
[0043] Figure 3 FIG2 schematically shows a flow chart of selecting a target electricity meter according to an exemplary embodiment of the present disclosure. Figure 3 , the method shown in the figure includes: S310-S370.
[0044] In S310 , second electricity usage information of users in the target area and electricity meter information corresponding to the second electricity usage information are collected.
[0045] In an exemplary embodiment, referring to Figure 1 The management server 110 collects the second electricity usage information of users in the target area and the corresponding electricity meter information. The target area includes, but is not limited to, residential, county, district, city, and provincial levels. The second electricity usage information refers to the electricity usage information of all households or businesses within the target area.
[0046] In S320 , data encoding is performed on the second electricity usage information and the electricity meter information corresponding to the second electricity usage information to obtain a database.
[0047] In an exemplary embodiment, referring to Figure 1 The management server 110 performs data encoding on the second electricity usage information and the electricity meter information corresponding to the second electricity usage information to obtain a database.
[0048] Optionally, the above-mentioned data encoding methods for the electricity meter information include but are not limited to: unipolar code, polarity code, bipolar code, return-to-zero code, biphase code, non-return-to-zero code, Manchester code, differential Manchester code, and multi-level code.
[0049] In S330 , a neural network model is trained based on the data in the database, and the neural network model is used to predict the electricity meter information based on the electricity usage information.
[0050] In an exemplary embodiment, referring to Figure 1 The management server 110 trains a neural network model based on the data in the database, and the neural network model is used to predict the electricity meter information based on the electricity consumption information.
[0051] In an exemplary embodiment, S340-S370 may be a specific implementation of S220, specifically:
[0052] In S340 , the first electricity usage information of the user to be operated is data-encoded to obtain a target code.
[0053] In an exemplary embodiment, referring to Figure 1The management server 110 encodes the first electricity usage information of the user to be operated 130 to obtain a target code. The target code is the code corresponding to the first electricity usage information. The rules used by the management server 110 to encode the first electricity usage information in S340 are the same as the rules used to encode the second electricity usage information in S320.
[0054] In S350, the target code is input into the neural network model to obtain the output code.
[0055] In an exemplary embodiment, referring to Figure 1 The management server 110 inputs the target code into the neural network model to obtain an output code. The different output codes correspond to different specifications of electric meters after decoding.
[0056] In S360 , the output code is decoded to obtain information of the target electricity meter.
[0057] In an exemplary embodiment, referring to Figure 1 The management server 110 decodes the output code to obtain the target meter information, wherein the target meter information includes voltage, current, frequency, model, and grade.
[0058] In S370 , a target electricity meter is selected based on the information of the target electricity meter.
[0059] In an exemplary embodiment, referring to Figure 1 The management server 110 selects a target meter according to the information of the target meter.
[0060] Figure 3 The technical solution provided by the illustrated embodiment is that after collecting the second electricity usage information of users in the target area and the electricity meter information corresponding to the second electricity usage information, the management server performs data encoding on the second electricity usage information and the electricity meter information corresponding to the second electricity usage information to obtain a database. Furthermore, the management server trains a neural network model based on the data in the database, and the neural network model is used to predict the electricity meter information based on the electricity usage information. The management server performs data encoding on the first electricity usage information of the user to be operated to obtain a target code, further inputs the target code into the neural network model to obtain an output code, and finally decodes the output code to obtain the information of the target electricity meter. Through the above steps, the scientific nature of the selection of electricity meters is further improved, thereby reducing the damage rate of electricity meters and ensuring normal electricity use for users.
[0061] For example, Figure 4 The following schematically shows a flow chart for installing a target electricity meter according to an exemplary embodiment of the present disclosure, specifically:
[0062] In S410 , a target task is generated according to the first electricity usage information of the user to be operated and the target electricity meter, and a target operator to be assigned is confirmed.
[0063] The specific implementation of S410 in the exemplary embodiment is the same as the specific implementation of step S230 and will not be repeated here.
[0064] In S420, the installation environment of the original electric meter of the user to be operated is obtained.
[0065] In an exemplary embodiment, referring to Figure 1 The management server 110 obtains the installation environment of the original electric meter of the user 130 to be operated.
[0066] Specifically, the above-mentioned installation environment includes but is not limited to: installation address, power usage characteristics, line damage, power supply method, and power supply path.
[0067] In S430 , it is determined whether the installation environment of the original electricity meter is suitable for installation of the target electricity meter.
[0068] In an exemplary embodiment, referring to Figure 1 The management server 110 determines whether the installation environment of the original meter is suitable for installation of the target meter. If the installation environment of the original meter is suitable for installation of the target meter, step S450 is executed; if the installation environment of the original meter is not suitable for installation of the target meter, step S440 is executed.
[0069] In S440 , the installation environment required by the target electricity meter is obtained, and the target operator completes the deployment of the installation environment required by the target electricity meter.
[0070] In an exemplary embodiment, referring to Figure 1 The management server 110 obtains the installation environment required by the target meter, and the target operator 120 completes the deployment of the installation environment required by the target meter.
[0071] Specifically, the management server 110 sends the installation environment required by the target meter to the power management micro-application installed in the mobile terminal through the Internet, so that the target operator 120 receives the installation environment required by the target meter.
[0072] In S450 , the installation progress of the target electricity meter is received in real time, and the installation progress of the target electricity meter is sent to the user to be operated.
[0073] In an exemplary embodiment, referring to Figure 1The management server 110 receives the installation progress of the target meter in real time and sends the installation progress of the target meter to the user 130 to be operated.
[0074] Optionally, the management server 110 may send the installation environment required by the target meter to the power management micro-application installed in the mobile terminal via the Internet, so that the user to be operated 130 may receive the installation progress of the target meter.
[0075] In S460 , in response to the target electricity meter being installed, the electricity meter reading of the original electricity meter obtained by the NFC module is received.
[0076] In an exemplary embodiment, referring to Figure 1 In response to the target meter being installed, the management server 110 receives the meter reading of the original meter obtained through the NFC module.
[0077] In S470 , the meter reading of the original meter is written into the target meter via the NFC module.
[0078] In an exemplary embodiment, referring to Figure 1 , the management server 110 writes the meter reading of the original meter into the target meter through the NFC module.
[0079] Figure 4 The technical solution provided by the illustrated embodiment obtains the installation environment of the user's original meter and, if the original meter's installation environment is unsuitable for the target meter, obtains the required installation environment for the target meter. After the target operator completes the installation of the target meter's required installation environment, the installation progress of the target meter is received in real time and transmitted to the user. This solution allows the target meter's required installation environment to be fully deployed before the target operator installs the meter, further improving the efficiency of target meter installation.
[0080] For example, Figure 5 The following schematically illustrates a flow chart for analyzing the cause of an electric meter failure according to an exemplary embodiment of the present disclosure. Specifically:
[0081] In S510, the pulse error, running error, wiring mode, and daily time error of the original electric meter of the user to be operated are obtained.
[0082] In an exemplary embodiment, referring to Figure 1 The management server 110 obtains the pulse error, running error, wiring mode, and daily time error of the original electric meter of the user to be operated 130.
[0083] In S520, the cause of the failure of the original electric meter of the user to be operated is analyzed based on the pulse error, the running error, the wiring method, and the daily time error.
[0084] In an exemplary embodiment, referring to Figure 1 The management server 110 analyzes the cause of the failure of the original electric meter of the user to be operated 130 based on the pulse error, the running error, the wiring method, and the daily time error.
[0085] In S530, the cause of the failure of the original electric meter of the user to be operated is uploaded to the database.
[0086] In an exemplary embodiment, referring to Figure 1 The management server 110 uploads the cause of the failure of the original electric meter of the user to be operated 130 to the database.
[0087] Figure 5 The technical solution provided by the illustrated embodiment uses a management server to analyze the cause of a user's existing meter failure based on pulse error, running error, wiring method, and daily time error, and uploads the failure cause to a database. This solution can summarize the cause of meter failures, thereby improving the efficiency of handling such meter failures.
[0088] It should be noted that the above-mentioned figures are only schematic illustrations of the processes included in the method according to an exemplary embodiment of the present invention, and are not intended to limit the purpose. It is easy to understand that the processes shown in the above-mentioned figures do not indicate or limit the time sequence of these processes. In addition, it is also easy to understand that these processes can be executed synchronously or asynchronously, for example, in multiple modules. The following is an embodiment of the system of the present disclosure, which can be used to execute the embodiment of the method of the present disclosure. For details not disclosed in the embodiment of the system of the present disclosure, please refer to the embodiment of the method of the present disclosure.
[0089] For example, Figure 6 The structure diagram of the electric meter operation management system according to the exemplary embodiment of the present disclosure is schematically shown. Figure 6 The electric meter operation management system 600 shown in the figure includes: an acquisition module 610, a selection module 620, a first generation module 630, and a second generation module 640, wherein:
[0090] The above-mentioned acquisition module 610 is used to: acquire the first electricity usage information of the user to be operated; the above-mentioned selection module 620 is used to: select the target electricity meter according to the first electricity usage information of the user to be operated; the above-mentioned first generation module 630 is used to: generate the target task according to the first electricity usage information of the user to be operated and the target electricity meter, and confirm the target operator to be assigned; the above-mentioned second generation module 640 is used to: generate the installation work order of the target electricity meter in response to the target operator completing the target task.
[0091] In an exemplary embodiment, Figure 7 Schematically shows the structure of another electricity meter operation management system according to an exemplary embodiment of the present disclosure. Figure 7 :
[0092] In an exemplary embodiment, the system includes: a collection module 710 .
[0093] The acquisition module 710 is configured to acquire the second electricity usage information of users in the target area and the electricity meter information corresponding to the second electricity usage information.
[0094] In an exemplary embodiment, based on the above solution, the system further includes: an encoding module 720 .
[0095] The encoding module 720 is configured to perform data encoding on the second electricity usage information and the electricity meter information corresponding to the second electricity usage information to obtain a database.
[0096] In an exemplary embodiment, based on the above solution, the system further includes: a training module 730 .
[0097] The training module 730 is used to train a neural network model based on the data in the database, and the neural network model is used to predict the electricity meter information based on the electricity consumption information.
[0098] In an exemplary embodiment, based on the above solution, the selection module 620 further includes: an encoding unit 621 and a decoding unit 622 .
[0099] Among them, the above-mentioned encoding unit 621 is used to: perform data encoding on the first electricity usage information of the user to be operated to obtain a target code; and input the target code into the neural network model to obtain an output code; the above-mentioned decoding unit 622 is used to: decode the output code to obtain information of the target electricity meter; and select the target electricity meter according to the information of the target electricity meter.
[0100] In an exemplary embodiment, based on the above solution, the system further includes: a second acquisition module 740 .
[0101] Among them, the above-mentioned second acquisition module 740 is used to: obtain the installation environment of the original electricity meter of the user to be operated; also used to: obtain the pulse error, running error, wiring method, and daily timing error of the original electricity meter of the user to be operated; and also used to: analyze the cause of the failure of the original electricity meter of the user to be operated based on the pulse error, running error, wiring method, and daily timing error.
[0102] In an exemplary embodiment, based on the above solution, the system further includes: a determination module 750 .
[0103] Among them, the above-mentioned determination module 750 is used to: determine whether the installation environment of the original meter is suitable for the installation of the target meter; and also used to: when the installation environment of the original meter is suitable for the installation of the target meter, receive the installation progress of the target meter in real time, and send the installation progress of the target meter to the user to be operated; and also used to: when the installation environment of the original meter is not suitable for the installation of the target meter, obtain the installation environment required by the target meter.
[0104] In an exemplary embodiment, based on the above solution, the system further includes: a receiving module 760 .
[0105] The receiving module 760 is configured to: in response to the target operator completing the deployment of the target meter's required installation environment, receive the target meter's installation progress in real time and send the target meter's installation progress to the user waiting for the installation. It is also configured to: in response to the target meter's installation completion, receive the meter reading of the original meter acquired by the NFC module; and write the meter reading of the original meter to the target meter via the NFC module.
[0106] In an exemplary embodiment, based on the above solution, the system further includes: an upload module 770 .
[0107] The uploading module 770 is used to upload the cause of the failure of the original electric meter of the user to be operated to the database.
[0108] It should be noted that the electric meter operation management system provided in the above embodiment only uses the division of the above functional modules as an example when executing the electric meter operation management method. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the electric meter operation management system and the electric meter operation management method embodiment are based on the same concept. Therefore, for details not disclosed in the embodiment of the system disclosed in this disclosure, please refer to the embodiment of the electric meter operation management method disclosed in this disclosure, and no further details will be given here.
[0109] The serial numbers of the above-mentioned embodiments of the present disclosure are for description only and do not represent the advantages or disadvantages of the embodiments.
[0110] The present disclosure also provides a readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the aforementioned methods. The readable storage medium may include, but is not limited to, any type of disk, including a floppy disk, an optical disk, a DVD, a CD-ROM, a microdrive, a magneto-optical disk, a ROM, a RAM, an EPROM, an EEPROM, a DRAM, a VRAM, a flash memory device, a magnetic card or an optical card, a nanosystem (including a molecular memory IC), or any type of medium or device suitable for storing instructions and / or data.
[0111] An embodiment of the present disclosure further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any of the above-mentioned method embodiments when executing the program.
[0112] Figure 8 Schematically shows a structural diagram of an electronic device according to an exemplary embodiment of the present disclosure. Figure 8 As shown, the electronic device 800 includes a processor 810 and a memory 820 .
[0113] In the embodiment of the present disclosure, the processor 810 is the control center of the embedded system, which can be a processor of a physical machine or a processor of a virtual machine. The processor 810 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 810 can be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 810 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state.
[0114] In the embodiment of the present disclosure, the processor 810 is specifically configured to:
[0115] Obtain the first electricity usage information of the user to be operated; select the target electricity meter based on the first electricity usage information of the user to be operated; generate the target task based on the first electricity usage information of the user to be operated and the target electricity meter, and confirm the target operator to be assigned; in response to the target operator completing the target task, generate an installation work order for the target electricity meter.
[0116] Furthermore, before obtaining the first electricity usage information of the user to be operated, the method further includes:
[0117] Collect the second electricity usage information of users in the target area and the electricity meter information corresponding to the above second electricity usage information; encode the above second electricity usage information and the electricity meter information corresponding to the above second electricity usage information to obtain a database; train a neural network model based on the data in the above database, and the above neural network model is used to predict the electricity meter information based on the electricity usage information.
[0118] Furthermore, the above-mentioned selecting a target electricity meter based on the first electricity usage information of the above-mentioned user to be operated includes: data encoding the first electricity usage information of the above-mentioned user to be operated to obtain a target code; inputting the above-mentioned target code into the above-mentioned neural network model to obtain an output code; decoding the above-mentioned output code to obtain information of the target electricity meter; and selecting the target electricity meter based on the information of the above-mentioned target electricity meter.
[0119] Furthermore, after the above-mentioned confirmation of the target operator to be delegated, it also includes: obtaining the installation environment of the original meter of the above-mentioned user to be operated; determining whether the installation environment of the above-mentioned original meter is suitable for the installation of the above-mentioned target meter; when the installation environment of the above-mentioned original meter is suitable for the installation of the above-mentioned target meter, receiving the installation progress of the above-mentioned target meter in real time, and sending the installation progress of the above-mentioned target meter to the above-mentioned user to be operated.
[0120] Furthermore, the above method also includes: when the installation environment of the above original meter is not suitable for the installation of the above target meter, obtaining the installation environment required by the above target meter; in response to the above target operator completing the deployment of the installation environment required by the above target meter, receiving the installation progress of the above target meter in real time, and sending the installation progress of the above target meter to the user to be operated.
[0121] Furthermore, the method further includes: in response to the target meter being installed, receiving the meter reading of the original meter acquired by the NFC module; and writing the meter reading of the original meter into the target meter via the NFC module.
[0122] Furthermore, the above method also includes: obtaining the pulse error, running error, wiring method, and daily timing error of the original electricity meter of the above-mentioned user to be operated; analyzing the cause of the failure of the original electricity meter of the above-mentioned user to be operated based on the above-mentioned pulse error, running error, wiring method, and daily timing error; and uploading the cause of the failure of the original electricity meter of the above-mentioned user to be operated to the database.
[0123] The memory 820 may include one or more readable storage media, which may be non-transitory. The memory 820 may also include high-speed random access memory and non-volatile memory, such as one or more magnetic disk storage devices and flash memory storage devices. In some embodiments of the present disclosure, the non-transitory readable storage medium in the memory 820 is used to store at least one instruction, which is used to be executed by the processor 810 to implement the method in the embodiment of the present disclosure.
[0124] In some embodiments, the electronic device 800 further includes a peripheral device interface 830 and at least one peripheral device. The processor 810, memory 820, and peripheral device interface 830 may be connected via a bus or signal lines. Each peripheral device may be connected to the peripheral device interface 830 via a bus, signal lines, or circuit boards. Specifically, the peripheral device includes at least one of a display screen 840, a camera 850, and an audio circuit 860.
[0125] The peripheral device interface 830 can be used to connect at least one I / O (Input / Output)-related peripheral device to the processor 810 and the memory 820. In some embodiments of the present disclosure, the processor 810, the memory 820, and the peripheral device interface 830 are integrated on the same chip or circuit board; in some other embodiments of the present disclosure, any one or two of the processor 810, the memory 820, and the peripheral device interface 830 can be implemented on separate chips or circuit boards. This is not specifically limited in the present disclosure.
[0126] The display screen 840 is used to display a user interface (UI). This UI may include graphics, text, icons, videos, or any combination thereof. When the display screen 840 is a touch screen display, it is also capable of collecting touch signals on or above the surface of the display screen 840. These touch signals can be input as control signals to the processor 810 for processing. In this case, the display screen 840 can also be used to provide virtual buttons and / or a virtual keyboard, also known as soft buttons and / or a soft keyboard. In some embodiments of the present disclosure, there may be one display screen 840, provided on the front panel of the electronic device 800. In other embodiments of the present disclosure, there may be at least two display screens 840, provided on different surfaces of the electronic device 800 or in a foldable design. In still other embodiments of the present disclosure, the display screen 840 may be a flexible display, provided on a curved or foldable surface of the electronic device 800. Furthermore, the display screen 840 may be configured as a non-rectangular irregular shape, i.e., a special-shaped screen. The display screen 840 may be made of materials such as LCD (Liquid Crystal Display) and OLED (Organic Light-Emitting Diode).
[0127] The camera 850 is used to capture images or videos. Optionally, the camera 850 includes a front camera and a rear camera. Typically, the front camera is arranged on the front panel of the electronic device, and the rear camera is arranged on the back of the electronic device. In some embodiments, there are at least two rear cameras, which are any one of a main camera, a depth of field camera, a wide-angle camera, and a telephoto camera, so as to realize the fusion of the main camera and the depth of field camera to realize the background blur function, the fusion of the main camera and the wide-angle camera to realize panoramic shooting and VR (Virtual Reality) shooting function or other fusion shooting functions. In some embodiments of the present disclosure, the camera 850 may also include a flash. The flash can be a single-color temperature flash or a dual-color temperature flash. A dual-color temperature flash refers to a combination of a warm light flash and a cold light flash, which can be used for light compensation at different color temperatures.
[0128] The audio circuit 860 may include a microphone and a speaker. The microphone is used to collect sound waves from the user and the environment, and convert the sound waves into electrical signals for input to the processor 810 for processing. For the purpose of stereo sound collection or noise reduction, multiple microphones may be provided, respectively, at different locations within the electronic device 800. The microphone may also be an array microphone or an omnidirectional microphone.
[0129] Power supply 870 is used to power the various components of electronic device 800. Power supply 870 can be AC power, DC power, a disposable battery, or a rechargeable battery. When power supply 870 includes a rechargeable battery, the rechargeable battery can be a wired rechargeable battery or a wireless rechargeable battery. A wired rechargeable battery is a battery that is charged via a wired line, while a wireless rechargeable battery is a battery that is charged via a wireless coil. The rechargeable battery can also be used to support fast charging technology.
[0130] The electronic device structure block diagram shown in the embodiment of the present disclosure does not constitute a limitation on the electronic device 800. The electronic device 800 may include more or fewer components than shown in the figure, or combine certain components, or adopt a different component arrangement.
[0131] In the present disclosure, the terms "first", "second", etc. are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or order; the term "plurality" refers to two or more, unless otherwise expressly defined. The terms "installed", "connected", "connected", "fixed", etc. should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral connection; "connected" can be a direct connection or an indirect connection through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms in the present disclosure can be understood according to the specific circumstances.
[0132] In the description of the present disclosure, it should be understood that the terms "upper" and "lower" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present disclosure and simplifying the description, rather than indicating or implying that the system or unit referred to must have a specific direction, be constructed and operated in a specific orientation. Therefore, they should not be understood as limitations on the present disclosure.
[0133] The above description is merely a specific embodiment of the present disclosure, but the scope of protection of the present disclosure is not limited thereto. Any modifications or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this disclosure should be included in the scope of protection of the present disclosure. Therefore, equivalent modifications made according to the claims of this disclosure are still within the scope of protection of the present disclosure.
Claims
1. A method for managing electric meter operation, characterized in that: The method comprises: collecting second electricity usage information of users in the target area and electricity meter information corresponding to the second electricity usage information; performing data encoding on the second electricity usage information and the electricity meter information corresponding to the second electricity usage information to obtain a database; training a neural network model based on the data in the database, wherein the neural network model is used to predict electricity meter information based on electricity consumption information; Obtaining first electricity usage information of the user to be operated; Selecting a target electricity meter according to the first electricity usage information of the user to be operated and the neural network model; generating a target task according to the first electricity usage information of the user to be operated and the target electricity meter, and determining a target operator to be assigned according to the task difficulty characteristics of the target task; In response to the target operator completing the target task, an installation work order for the target electricity meter is generated.
2. The electric meter operation management method according to claim 1, characterized in that: The selecting a target electric meter according to the first electric usage information of the user to be operated and the neural network model includes: Data encoding the first electricity usage information of the user to be operated to obtain a target code; Inputting the target code into the neural network model to obtain an output code; Decoding the output code to obtain information of the target electric meter; A target electricity meter is selected according to the information of the target electricity meter.
3. The electric meter operation management method according to claim 1, characterized in that: After confirming the target operator to be assigned, the following steps are also included: Obtaining the installation environment of the original electric meter of the user to be operated; Determining whether the installation environment of the original electric meter is suitable for installation of the target electric meter; When the installation environment of the original electricity meter is suitable for the installation of the target electricity meter, the installation progress of the target electricity meter is received in real time and sent to the user to be installed.
4. The electric meter operation management method according to claim 3, characterized in that: The method further comprises: When the installation environment of the original electric meter is not suitable for installation of the target electric meter, obtaining the installation environment required by the target electric meter; In response to the target operator completing the deployment of the installation environment required by the target electricity meter, the installation progress of the target electricity meter is received in real time, and the installation progress of the target electricity meter is sent to the user to be operated.
5. The electric meter operation management method according to claim 3 or 4, characterized in that: The method further comprises: In response to the target electricity meter being installed, receiving an electricity meter reading of the original electricity meter acquired by a near field wireless communication (NFC) module; The meter reading of the original meter is written into the target meter through the NFC module.
6. The electric meter operation management method according to any one of claims 1 to 4, characterized in that: The method further comprises: Obtaining the pulse error, running error, wiring mode, and daily time error of the original electric meter of the user to be operated; Analyze the cause of the failure of the original electric meter of the user to be operated based on the pulse error, running error, wiring method, and daily time error; The cause of the failure of the original electric meter of the user to be operated is uploaded to the database.
7. An electric meter operation management system, specifically characterized by: include: A collection module: used for collecting the second electricity usage information of users in the target area and the electricity meter information corresponding to the second electricity usage information; An encoding module: configured to perform data encoding on the second electricity usage information and the electricity meter information corresponding to the second electricity usage information to obtain a database; Training module: used for training a neural network model based on the data in the database, wherein the neural network model is used for predicting the electricity meter information based on the electricity consumption information; Acquisition module: used for acquiring the first electricity usage information of the user to be operated; A selection module is configured to select a target electricity meter based on the first electricity usage information of the user to be operated and the neural network model; A first generating module is configured to generate a target task based on the first electricity usage information of the user to be operated and the target electricity meter, and to determine a target operator to be assigned based on the task difficulty characteristics of the target task; The second generating module is configured to generate an installation work order for the target electricity meter in response to the target operator completing the target task.
8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the electric meter operation management method according to any one of claims 1 to 6 is implemented.
9. A readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the electric meter operation management method according to any one of claims 1 to 6 is implemented.
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