A smart IoT energy meter monitoring and control system

Abstract

This invention provides a smart IoT energy meter monitoring and control system, including a master station, a data acquisition terminal, and multiple energy meters. Each energy meter is equipped with a carrier module. The carrier module is used to send an inquiry signal to a target energy meter and then receive a feedback signal from the target energy meter to determine its working status. The target energy meter can be any one of the multiple energy meters. The carrier module is also used to send its own record information and the working status of the target energy meter to the master station through the data acquisition terminal. The master station is used to determine the monitoring results of each energy meter based on its record information, working status, and distribution area records. By enabling self-verification of energy meters through the record information and distribution area records, and by determining the working status of each energy meter through inquiries and feedback between them, mutual verification of energy meters is achieved. This effectively detects the working status of the energy meters without the need for additional monitoring equipment, thus reducing monitoring costs.

Description

Technical Field

[0001] This invention belongs to the field of electricity meter technology, and particularly relates to a smart IoT electricity meter monitoring and control system. Background Technology

[0002] With the large-scale grid connection of various emerging energy sources such as photovoltaic power generation and wind power generation, as well as the increase in various power electronic loads, the power quality of the power grid and the control of power generation and grid connection have been profoundly affected and pose significant challenges. Therefore, it is necessary to analyze and monitor the power generation capacity and power quality. As the terminal of smart grid marketing, electricity consumption information and energy distribution, electricity meters have a wide coverage and large usage, and are the basic data source for fault repair, power trading, customer service, distribution network operation and power quality monitoring.

[0003] Currently, although electricity meters have achieved the functions of conventional metering and settlement, real-time monitoring, analysis and control of photovoltaic power generation systems are usually achieved using specific control equipment and power quality monitoring devices. However, this method is costly and only applicable to grid-connected locations such as substations, and cannot achieve user-level monitoring and analysis at low cost. Summary of the Invention

[0004] In view of this, the present invention provides a smart IoT energy meter monitoring and control system, which aims to solve the problem that existing technologies cannot achieve user-level monitoring and analysis at low cost.

[0005] A first aspect of this invention provides a smart IoT energy meter monitoring and control system, comprising:

[0006] The system consists of a master data acquisition station, data acquisition terminals, and multiple electricity meters; each electricity meter is equipped with a carrier module; the master data acquisition station is connected to the data acquisition terminals; each data acquisition terminal is connected to multiple electricity meters.

[0007] The carrier module is used to receive the feedback signal from the target energy meter after sending an interrogation signal to the target energy meter, and to determine the working status of the target energy meter based on the feedback signal; wherein, the target energy meter is any one of multiple energy meters;

[0008] The carrier module on each electricity meter is also used to send its own file information and the working status of the target electricity meter to the acquisition terminal.

[0009] The data acquisition terminal is used to forward the data archive information and working status of each electricity meter to the main data acquisition station;

[0010] The main data acquisition station is used to determine the monitoring results of each electricity meter based on the record information, working status, and distribution area records of each electricity meter.

[0011] In one possible implementation, the carrier module on each energy meter is also used for:

[0012] Obtain the node information of all electricity meters in the power grid; the node information includes node location and node type.

[0013] Calculate the node similarity between its own node information and the node information of other energy meters besides itself;

[0014] The target electricity meter is determined based on node similarity.

[0015] In one possible implementation, each electricity meter is equipped with a billing module;

[0016] Each electricity meter's settlement module is used to conduct electricity trade settlement on the blockchain with the power grid or with the settlement module of any other electricity meter, and to record the transaction amount and quantity.

[0017] In one possible implementation, each energy meter is equipped with a switch signal control module;

[0018] The switch signal control module is used to control the transmission of electricity during the electricity trade settlement process.

[0019] In one possible implementation, the switch signal control module includes inter-household circuit breakers and inter-grid circuit breakers; each electricity meter corresponds to one photovoltaic power generation user or one electricity user;

[0020] Inter-user circuit breakers are used to control the transmission of electricity in electricity trade settlement between photovoltaic power generation users and electricity users;

[0021] Inter-grid circuit breakers are used to control the transmission of electrical energy in the settlement of electricity trade between the distribution network and electricity users.

[0022] In one possible implementation, the carrier module in each energy meter is also used to obtain its own energy parameters and the transaction amount and transaction volume recorded by its own settlement module after receiving the query signal from the target energy meter, and send them to the target energy meter as a feedback signal.

[0023] The carrier module in each electricity meter is also used to calculate the data similarity between itself and the target electricity meter after receiving the electricity parameters, transaction amount and transaction amount sent by the target electricity meter, based on its own electricity parameters, transaction amount and transaction amount and the target electricity meter's electricity parameters, transaction amount and transaction amount, and to determine the working status of the target electricity meter based on the data similarity.

[0024] In one possible implementation, each electricity meter is equipped with a time synchronization module;

[0025] The time synchronization module is used to broadcast time synchronization to the electricity meter.

[0026] In one possible implementation, the time synchronization module includes a GPS time synchronizer and a BeiDou time synchronizer.

[0027] In one possible implementation, the main data collection station is specifically used for:

[0028] For each electricity meter, its file information is checked against its corresponding area file;

[0029] When the archival information is matched with the substation archives, the monitoring results of each electricity meter are determined to be preliminarily qualified;

[0030] When the information in the archives does not match the archives in the distribution area, the monitoring results of each electricity meter are identified as mismatched.

[0031] In one possible implementation, the main data collection station is specifically used for:

[0032] Obtain the working status of the first energy meter uploaded by multiple target energy meters corresponding to the first energy meter; wherein, the first energy meter is any one of the multiple energy meters;

[0033] When a preset number of abnormal states are found among all the working states of the first energy meters, the monitoring result of the first energy meter is determined to be abnormal.

[0034] The intelligent IoT energy meter monitoring and control system provided in this embodiment of the invention includes a data acquisition master station, a data acquisition terminal, and multiple energy meters; each energy meter is equipped with a carrier module; the data acquisition master station is connected to the data acquisition terminal; the data acquisition terminal is connected to multiple energy meters respectively; the carrier module is used to receive feedback signals from the target energy meter after sending an inquiry signal to the target energy meter, and to determine the working status of the target energy meter based on the feedback signals; wherein, the target energy meter is any one of the multiple energy meters; the carrier module on each energy meter is also used to send its own file information and the working status of the target energy meter to the data acquisition terminal; the data acquisition terminal is used to forward the file information and working status of each energy meter to the data acquisition master station; the data acquisition master station is used to determine the monitoring results of each energy meter based on the file information, working status, and the substation file of each energy meter. By comparing the electricity meter's data with the distribution area's records, the system enables self-verification of the electricity meters. Furthermore, by querying and responding to each meter, the system determines the working status of each meter, allowing for mutual verification among the meters. This effectively detects the working status of the electricity meters without the need for additional monitoring equipment, thus reducing monitoring costs. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a schematic diagram of the structure of the smart IoT energy meter monitoring and control system provided in an embodiment of the present invention;

[0037] Figure 2 This is a flowchart of a blockchain-based distributed energy trading process provided in an embodiment of the present invention. Detailed Implementation

[0038] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of the invention. However, those skilled in the art will understand that the invention can be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods are omitted so as not to obscure the description of the invention with unnecessary detail.

[0039] Figure 1 This is a schematic diagram of the structure of the smart IoT energy meter monitoring and control system provided in an embodiment of the present invention. Figure 1 As shown, in some embodiments, the smart IoT electricity meter monitoring and control system includes: a data acquisition master station 11, a data acquisition terminal 12, and multiple electricity meters 13; each electricity meter is equipped with a carrier module; the data acquisition master station 11 is connected to the data acquisition terminal 12; the data acquisition terminal 12 is connected to the multiple electricity meters 13 respectively;

[0040] The carrier module is used to receive the feedback signal from the target energy meter after sending an interrogation signal to the target energy meter, and to determine the working status of the target energy meter based on the feedback signal; wherein, the target energy meter is any one of multiple energy meters;

[0041] The carrier module on each energy meter is also used to send its own file information and the working status of the target energy meter to the acquisition terminal 12.

[0042] The data acquisition terminal 12 is used to forward the file information and working status of each electricity meter to the data acquisition master station 11;

[0043] The main data acquisition station 11 is used to determine the monitoring results of each electricity meter 13 based on the data file information, working status, and distribution area data of each electricity meter 13.

[0044] In this embodiment of the invention, each distribution area is provided with a data acquisition master station 11, which is equipped with a distribution area server for storing the distribution area files of each electricity meter 13, monitoring the operation data of the distribution area's main meter, and communicating with the data acquisition terminal 12.

[0045] In this embodiment of the invention, the data acquisition terminal 12 is installed in each user area of ​​the distribution area to collect data from the electricity meters 13 in each user area of ​​the distribution area. The data acquisition terminal 12 can communicate with the data acquisition master station 11 through a communication bus or wireless communication signal.

[0046] In this embodiment of the invention, the carrier module of each electricity meter 13 reports its own file information in real time and compares it with the area file stored in the area server to determine the identity information of the electricity meter in the area, thereby realizing the self-verification of the electricity meter.

[0047] In this embodiment of the invention, the carrier module in each energy meter 13 sends an inquiry signal to one or more designated target energy meters in real time. After receiving the feedback signal, it compares it with its own operating data to determine the working status of the target energy meter.

[0048] In this embodiment of the invention, the electricity meter self-verification is achieved by matching the electricity meter's file information with the transformer area file, and the working status of each electricity meter is determined by querying and feedback between the electricity meters, thus realizing mutual verification of the electricity meters. This effectively detects the working status of the electricity meters without the need for additional monitoring equipment, reducing monitoring costs.

[0049] In some embodiments, the carrier module on each energy meter 13 is further configured to: acquire node information of all energy meters 13 in the power grid; the node information includes node location and node type; calculate the node similarity between its own node information and the node information of other energy meters 13 besides itself; and determine the target energy meter based on the node similarity.

[0050] In this embodiment of the invention, although the electricity meter 13 can perform certain calculations, its computing power is limited due to its location on the user side. The workload of mutual monitoring with all electricity meters 13 is substantial and easily exceeds the computing capacity of the electricity meter 13 itself. Therefore, by determining the node similarity between each electricity meter 13 based on its node location and node type in the power grid, the target electricity meter that needs to be checked for each electricity meter 13 is identified.

[0051] The node location can include its geographical or administrative location, etc., and is not limited here. The node type can include general user nodes, high-load nodes with large electricity loads, periodic nodes with periodic electricity consumption, user nodes with high failure rates, etc., and is not limited here. The acquisition master station sends its node information to the carrier module on each electricity meter 13. The carrier module compares the similarity of node location and node type, and multiplies the similarity of node location and node type by a pre-set weight to obtain the final node similarity.

[0052] In some embodiments, each electricity meter 13 is provided with a settlement module; the settlement module in each electricity meter 13 is used to conduct electricity trade settlement with the power grid or with the settlement module of any other electricity meter 13 on the blockchain, and record the transaction amount and transaction amount.

[0053] In this embodiment of the invention, users can select power generation users for transaction switching through a remote acquisition master station, realize power generation and electricity consumption trade settlement between users and between users and the power grid, and monitor the transaction volume and amount in real time.

[0054] In some embodiments, each electricity meter 13 is provided with a switch signal control module; the switch signal control module is used to control the transmission of electricity during the electricity trade settlement process.

[0055] In this embodiment of the invention, the settlement of transactions between various electricity meters is realized through a switch signal control module, enabling users to conduct trade settlements with any power generation user or power grid other than themselves.

[0056] In some embodiments, the switch signal control module includes an inter-household circuit breaker and an inter-grid circuit breaker; each electricity meter 13 corresponds to a photovoltaic power generation user or an electricity user; the inter-household circuit breaker is used to control the transmission of electricity in the electricity trade settlement between the photovoltaic power generation user and the electricity user; the inter-grid circuit breaker is used to control the transmission of electricity in the electricity trade settlement between the distribution network and the electricity user.

[0057] In this embodiment of the invention, all users participating in photovoltaic transactions must install a settlement module, which communicates with the blockchain energy trading platform. The settlement module is responsible for measuring the user's electricity consumption and promptly feeding it back to the trading platform for settlement.

[0058] In this embodiment of the invention, users participating in photovoltaic power generation energy trading must obtain permission to access the market. Users need to declare the capacity and voltage level of their power generation equipment to the trading platform and accept grid dispatch when necessary. Both participation in and withdrawal from trading require review, and registration or cancellation can only be successfully completed after the review is approved.

[0059] Figure 2This is a flowchart of a blockchain-based distributed energy trading process provided in an embodiment of the present invention. Figure 2 As shown, in this embodiment of the invention, the blockchain distributed energy trading process is specifically as follows:

[0060] Step 1, Transaction Preparation, refers to the electricity meter sending a transaction signal to the blockchain energy trading platform, indicating that the user is ready to conduct an electricity transaction.

[0061] Step 2, User Registration: Each user associated with an electricity meter registers an account on the blockchain energy trading platform.

[0062] Step 3: Platform review, where the blockchain energy trading platform reviews the user's registration information to ensure its legality. If legal, proceed to Step 4; otherwise, proceed to Step 9.

[0063] Step 4: Negotiation between the trading parties, that is, trade negotiations between any two or more accounts on the blockchain energy trading platform.

[0064] Step 5, Transaction Review: The blockchain energy trading platform reviews the legality of the user's transaction information. If legal, proceed to Step 6; otherwise, proceed to Step 7.

[0065] Step 6: Transaction is executed between users.

[0066] Step 7: The power grid transacts with the user.

[0067] Step 8, transaction settlement.

[0068] Step 9, transaction complete.

[0069] The trading rules are as follows: When photovoltaic power generation users have surplus electricity, they need to participate in market transactions to sell the surplus electricity to the grid or other users; similarly, when electricity users have a power shortage, they need to directly purchase surplus electricity from photovoltaic power generation users through the trading platform. If the power shortage cannot be met, they need to purchase it from the grid.

[0070] The photovoltaic power generation energy trading process and mechanism based on blockchain technology mainly consists of five parts: registration, two-way trading, transaction review, transaction execution, and transaction settlement. The specific execution details of each part are as follows:

[0071] Registration: Users participating in market transactions register on the blockchain energy trading platform, specifying their power generation equipment capacity, voltage level, etc. The trading platform determines whether the user meets the access requirements based on relevant criteria. If the user meets the access requirements, an access permit is issued, and the user successfully registers. The platform also notifies nearby transformer substations of relevant information. If the user does not meet the registration requirements, they are prohibited from participating in electricity trading.

[0072] Two-way trading: The two parties involved in the transaction of photovoltaic energy negotiate and determine the transaction price and the amount of electricity purchased by the user in this transaction; if the power grid needs to participate in the transaction, the power supply will be carried out according to the contract agreed upon in advance between the user and the power grid.

[0073] Transaction review: After a transaction is confirmed, the energy trading platform needs to review the transaction order in accordance with the transaction terms and the user's purchased electricity volume. The review will verify the legality of the order and whether the power flow exceeds the limits, in order to ensure the safe and stable operation of the power grid.

[0074] Transaction Execution: After the transaction review is completed, each user should conduct the transaction in accordance with the contract. The power generator should deliver the agreed amount of electricity to the purchasing user through the distribution network within the agreed time, and the electricity should be metered by installing electricity meters.

[0075] Transaction Settlement: After the transaction is completed by both parties, the settlement module of the smart IoT electricity meter of the electricity user feeds back the metered electricity data to the trading platform. Combined with the electricity data, the contract is automatically settled by signing and confirming the contract by the multiple members of the transaction. The transaction information after settlement will be recorded on the blockchain through the pre-selected node and sent to both parties of the transaction, thus ending the transaction.

[0076] In some embodiments, the carrier module in each energy meter 13 is further configured to, after receiving an inquiry signal from the target energy meter, acquire its own energy parameters and the transaction amount and transaction volume recorded by its own settlement module, and send them as a feedback signal to the target energy meter; the carrier module in each energy meter 13 is further configured to, after receiving the energy parameters, transaction amount and transaction volume sent by the target energy meter, calculate the data similarity between itself and the target energy meter based on its own energy parameters, transaction amount and transaction volume, and the energy parameters, transaction amount and transaction volume of the target energy meter, and determine the working status of the target energy meter based on the data similarity.

[0077] In this embodiment of the invention, blockchain transactions can be combined with electricity meter monitoring. Specifically, the carrier module of electricity meter 13 acquires the electricity parameters monitored by the carrier module of the target electricity meter, and obtains the transaction electricity and transaction amount recorded by the settlement module of the target electricity meter. The electricity parameters, transaction electricity, and transaction amount are multiplied by different weights to calculate data similarity. Since the target electricity meter is similar to electricity meter 13 in both node location and node type, its data must be similar. If the data similarity is low, the target electricity meter's operating state can be considered abnormal. By calculating the similarity between each electricity meter through recorded electricity transaction data, the operating state of each electricity meter can be determined, effectively monitoring the electricity meters.

[0078] In some embodiments, each electricity meter 13 is provided with a time synchronization module; the time synchronization module is used to broadcast time synchronization to the electricity meter 13.

[0079] In this embodiment of the invention, the local clock time in the electricity meter 13 is obtained, and then the time synchronization module obtains the external time. The difference between the local time and the external time is calculated. If the difference is less than a preset value, the external time is used as the standard, and the time is broadcast to each electricity meter in the distribution area to achieve time correction. If the difference is greater than or equal to the preset value, the time synchronization module may be malfunctioning.

[0080] In some embodiments, the time synchronization module includes a GPS time synchronizer and a BeiDou time synchronizer.

[0081] In this embodiment of the invention, in order to prevent inaccurate time synchronization caused by malfunction of the time synchronization module, a GPS time synchronizer and a Beidou time synchronizer are set up. When one of the time synchronizers fails, the time of the other time synchronizer is used as the external time, which can improve the accuracy of time synchronization.

[0082] In some embodiments, the data acquisition master station 11 is specifically used to: for each electricity meter 13, verify its file information against its transformer area file; when the file information matches the transformer area file, determine that the monitoring result of each electricity meter 13 is initially qualified; when the file information does not match the transformer area file, determine that the monitoring result of each electricity meter 13 is a mismatch.

[0083] In some embodiments, the acquisition master station 11 is specifically used to: acquire the working status of the first energy meter 13 uploaded by multiple target energy meters corresponding to the first energy meter 13; wherein the first energy meter 13 is any one of the multiple energy meters 13; when there are a preset number of abnormal states in the received working status of the first energy meter 13, the monitoring result of the first energy meter 13 is determined to be abnormal.

[0084] In this embodiment of the invention, the mutual verification between electricity meters involves grouping the electricity meters according to node similarity and then performing mutual verification within each group. During the verification process, if there are four electricity meters in a group: A, B, C, and D, and A malfunctions, the data between A and B, C, and D will not match. Therefore, A will report abnormal operating status of B, C, and D, while B, C, and D will report abnormal operating status of A. At this time, the preset number is 2, so the data acquisition master station determines that A's operating status is abnormal.

[0085] In summary, the beneficial effects of the present invention are as follows:

[0086] 1. By comparing the electricity meter's file information with the distribution area file, the electricity meter can self-verify. Furthermore, by querying and responding to each electricity meter, the working status of each electricity meter can be determined, enabling mutual verification among the electricity meters. This method can effectively detect the working status of the electricity meters without the need for additional monitoring equipment, thus reducing monitoring costs.

[0087] 2. The electricity meter integrates multiple functions such as electricity meter communication, accurate time synchronization, and electricity generation and consumption trade settlement, realizing energy management at the user end.

[0088] 3. By calculating the similarity between various electricity meters based on the recorded electricity transaction data, it is possible to determine whether the working status of each electricity meter is abnormal, thus effectively monitoring the electricity meters.

[0089] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0090] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0091] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0092] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0093] In the embodiments provided by this invention, it should be understood that the disclosed devices / terminals and methods can be implemented in other ways. For example, the device / terminal embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0094] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0095] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A smart IoT energy meter monitoring and control system, characterized in that, include: The system includes a data acquisition master station, data acquisition terminals, and multiple electricity meters; each electricity meter is equipped with a carrier module; the data acquisition master station is connected to the data acquisition terminals. The data acquisition terminal is connected to the plurality of energy meters respectively; The carrier module is used to receive a feedback signal from the target energy meter after sending an inquiry signal to the target energy meter, and to determine the working status of the target energy meter based on the feedback signal; wherein, the target energy meter is any one of the plurality of energy meters; The carrier module on each electricity meter is also used to send its own file information and the working status of the target electricity meter to the acquisition terminal. The data acquisition terminal is used to forward the file information and working status of each electricity meter to the data acquisition master station; The main data acquisition station is used to determine the monitoring results of each electricity meter based on the record information, working status, and distribution area records of each electricity meter. The carrier module on each energy meter is also used for: Obtain the node information of all electricity meters in the power grid; the node information includes node location and node type. Calculate the node similarity between its own node information and the node information of other energy meters besides itself; The target electricity meter is determined based on the node similarity. Each electricity meter is equipped with a billing module; Each electricity meter's settlement module is used to conduct electricity trade settlement on the blockchain with the power grid or with the settlement module of any other electricity meter, and to record the transaction amount and transaction volume. The carrier module in each energy meter is also used to obtain its own energy parameters and the transaction amount and transaction volume recorded by its own settlement module after receiving the query signal from the target energy meter, and send them to the target energy meter as the feedback signal. The carrier module in each electricity meter is also used to calculate the data similarity between itself and the target electricity meter after receiving the electricity parameters, transaction amount and transaction amount sent by the target electricity meter, based on its own electricity parameters, transaction amount and transaction amount and the target electricity meter's electricity parameters, transaction amount and transaction amount, and to determine the working status of the target electricity meter based on the data similarity.

2. The smart IoT energy meter monitoring and control system according to claim 1, characterized in that, Each electricity meter is equipped with a switch signal control module; The switch signal control module is used to control the power transmission during the electricity trade settlement process.

3. The smart IoT energy meter monitoring and control system according to claim 2, characterized in that, The switch signal control module includes inter-household circuit breakers and inter-grid circuit breakers; each electricity meter corresponds to one photovoltaic power generation user or one electricity user; The inter-household circuit breaker is used to control the transmission of electricity in the electricity trade settlement between the photovoltaic power generation user and the electricity user. The inter-network circuit breaker is used to control the transmission of electricity in the electricity trade settlement between the distribution network and the electricity user.

4. The smart IoT energy meter monitoring and control system according to claim 1, characterized in that, Each electricity meter is equipped with a time synchronization module; The time synchronization module is used to broadcast time synchronization to the electricity meter.

5. The smart IoT energy meter monitoring and control system according to claim 4, characterized in that, The time synchronization module includes a GPS time synchronizer and a BeiDou time synchronizer.

6. The smart IoT energy meter monitoring and control system according to claim 1, characterized in that, The main data acquisition station is specifically used for: For each electricity meter, its file information is checked against its corresponding area file; When the archive information matches the area archive, the monitoring results of each electricity meter are determined to be initially qualified; When the archive information does not match the area archive, the monitoring results of each electricity meter are determined to be an anomaly.

7. The smart IoT energy meter monitoring and control system according to claim 6, characterized in that, The main data acquisition station is specifically used for: Obtain the working status of the first energy meter uploaded by multiple target energy meters corresponding to the first energy meter; wherein, the first energy meter is any one of the multiple energy meters; When a preset number of abnormal states are found among all the received operating states of the first energy meters, the monitoring result of the first energy meter is determined to be abnormal.

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