Battery power supply energy consumption meter reading system

Abstract

The invention relates to the technical field of energy management, in particular to a battery power supply energy consumption meter reading system, which comprises a battery module, an energy consumption acquisition module, a data processing module, a communication module, a control module and a remote data center, compared with the defects of non-fine resource management, non-intelligent energy consumption management and inflexible mode switching possibly existing in a control module in the prior art, the scheme can give an alarm to inform an operator when entering a low-power-consumption mode, data are flexibly processed according to the condition of a system storage space, and the energy consumption of the system is reduced. According to the scheme, all the modules are controlled to enter a deep sleep mode, the service life of a battery is effectively prolonged, and when a normal working mode is entered, all the modules can be orderly controlled to carry out data acquisition, processing and transmission, and efficient and stable operation of the system is ensured, so that the scheme has the advantages of fine resource management, intelligent energy consumption management, flexible mode switching and the like; and the overall performance and the user experience of the battery power supply energy consumption meter reading system are obviously improved.

Description

Technical Field

[0001] The invention relates to the technical field of energy management, and in particular to a battery-powered energy consumption meter reading system. Background Art

[0002] The existing battery-powered energy consumption meter reading system is mainly used to remotely collect data from various energy consumption meters, and is usually composed of a battery module, an energy consumption collection module, a data processing module, a communication module, and a remote data center. These systems have certain functions in realizing the remote transmission of energy consumption data, but there are some shortcomings.

[0003] First, existing control modules are deficient in resource management. Most control modules lack refined resource management processes, and the battery power management is not intelligent enough, resulting in the inability to fully extend the battery life and a waste of resources. Secondly, the task scheduling and resource management of existing communication modules lack flexibility, and the network signal strength detection is relatively simple, which can easily lead to unstable data transmission and affect data transmission and reception efficiency. Finally, the processing functions of existing remote data centers are relatively simple, with only basic data storage and update functions, and lack of advanced functions such as filling in missing data and generating energy consumption reports, which limits the visualization and application of data.

[0004] Due to the above shortcomings, the existing battery-powered energy meter reading system has problems such as imprecise resource management, unintelligent energy management, poor communication stability, and single data processing function, which makes it difficult to meet the needs of modern intelligent management. There is an urgent need for an energy meter reading system that can realize remote energy consumption data collection and take into account intelligent battery management, communication stability, and perfect data processing functions. Summary of the invention

[0005] In order to overcome the problems raised in the above background technology, the present invention proposes a battery-powered energy consumption meter reading system.

[0006] The technical solution of the present invention is: a battery-powered energy consumption meter reading system, comprising: The battery module is used to provide the energy required for normal operation of the energy consumption collection module, data processing module, communication module and control module; Energy consumption collection module, used for different types of energy consumption meters, using different sensor technologies to collect data from energy consumption meters at regular intervals; A data processing module, used for processing the data collected by the energy consumption collection module; The communication module is used to send the processed data to the remote data center after the data processing module completes the processing of the data; The control module is used to realize task scheduling and resource management of the battery module, energy consumption collection module, data processing module and communication module; The remote data center is used to receive the data transmitted by the communication module and decompress, decode and summarize the data.

[0007] Preferably, the battery module comprises: A11: Battery: uses ultra-large capacity lithium-ion battery, with a rated capacity of more than 19000mAh; A12: Power management chip, responsible for battery charge and discharge control, power monitoring, overcharge protection and over-discharge protection.

[0008] As a preferred option, the sensor technology used in the energy consumption collection module is: A21: For energy consumption meters with mechanical dials, OCR character recognition image sensors are used to identify and obtain data from energy consumption meters using OCR image recognition technology; A22: For smart meters, infrared communication collectors are used to communicate with smart meters through specific communication protocols to achieve remote collection and reading of smart meter data; A23: For MODBUS meters that can communicate, a wired communication acquisition module is used, and the Modbus communication protocol is used for data transmission to achieve remote collection and reading of energy consumption meter data.

[0009] Preferably, the data processing module adopts a low-power microcontroller, and the data processing module supports multiple low-power modes. When the data processing module processes the data collected by the energy consumption collection module, the following steps are included: S11: Data filtering, processing the raw data through a digital filtering algorithm to remove noise and outliers in the collected data; S12: Data compression: using a data compression algorithm to compress the processed data to reduce the amount of data storage and transmission; S13: Data verification: verifying the compressed data through a verification algorithm to detect whether errors occur during the data compression process; S14: Data format conversion, formatting the processed data into JSON format, including key-value pair representation of energy consumption data, clear identification of data types, and hierarchical representation of data structures.

[0010] Preferably, the communication module adopts low-power technology CAT1, and the communication module uses the MQTT protocol. The communication frequency of the communication module is to transmit data twice a day by default, and the communication frequency of the communication module can be adjusted by the control module. The data collection frequency of the energy consumption collection module is to collect data twice a day by default, and the data collection frequency of the energy consumption collection module can be adjusted by the control module.

[0011] Preferably, the control module adopts an embedded real-time operating system luatos, wherein the control module includes the following steps when performing resource management on the battery module: S21: After the set data collection time is reached, the control module is first started and performs a self-check; S22: After the inspection is completed, the control module sends an instruction to the battery module. After receiving the instruction, the battery module detects the battery power through the power management chip; S23: When the battery power is less than 20%, the control module enters a low power consumption mode; when the battery power is greater than 20%, the control module enters a normal working mode; S24: After data collection and data transmission are completed, the control module controls the battery module to enter a low-energy sleep mode.

[0012] Preferably, when the control module enters the low power consumption mode, the control process adopted is: S31: When entering the low power mode, an alarm is first issued to inform the operator of low power information; S32: Continue to control the energy consumption collection module to perform normal data collection; S33: Detect the storage space of the system. If the remaining storage space of the system is greater than 30%, directly store the collected data. If the remaining storage space of the system is less than 30%, control the data processing module to process the data and then store the data. S34: Control the battery module, energy consumption acquisition module, data processing module and communication module to enter deep sleep mode.

[0013] Preferably, when the control module enters the normal working mode, the control process adopted is: S41: Control the energy consumption collection module to perform normal data collection; S42: Control the data processing module to process the data; S43: Control the communication module to transmit the processed data to a remote data center.

[0014] Preferably, when the control module performs task scheduling and resource management on the communication module, the control module includes the following steps: S51: Before sending a start instruction to the communication module, detecting the signal strength of the communication module; S52: If the signal strength is good, the communication module is controlled to start and data transmission is performed. If the signal strength is poor, the signal strength is detected again after waiting for one minute. S53: If the signal transmission fails and the signal strength is detected three times, wait for ten minutes and then send the information again; S54: If the data is still not sent successfully after step S53 is repeated three times, the data is marked as data to be transmitted; S55: Control the battery module, energy consumption collection module, data processing module and communication module to enter deep sleep mode.

[0015] Preferably, the remote data center also has the following functions: A31: Store the collected data and update the database in real time after receiving new data; A32: Provides a data entry interface to enable operators to enter and modify data through the data entry interface; A33: Intelligently fill in the missing data through intelligent algorithms; A34: Generate energy consumption reports for operators to query and analyze.

[0016] Beneficial effects of the present invention: 1. It is battery-powered to reduce the reliance on wired power supply. It also adopts low-power design to significantly extend the battery life compared with conventional wireless meter reading equipment. 2. The system is designed with three ways to upload energy consumption data: ① manual correction; ② terminal equipment collection; ③ algorithm intelligent filling. The three data upload methods are prioritized to ensure the accuracy and consistency of the meter reading system data. 3. Add a verification mechanism during data transmission to ensure data integrity; automatically retransmit data that fails to be transmitted; 4. Compared with the shortcomings of the control module in the prior art, such as imprecise resource management, unintelligent energy consumption management, and inflexible mode switching, this solution adopts the embedded real-time operating system luatos as the core of the control module, and realizes intelligent management of the battery module through a refined resource management process, including timed self-test, power detection, mode switching, and sleep control. At the same time, when entering the low-power mode, this solution can issue an alarm to notify the operator, and flexibly process data according to the system storage space, and then control each module to enter the deep sleep mode, effectively extending the battery life. When entering the normal working mode, this solution can orderly control each module to collect, process and transmit data to ensure efficient and stable operation of the system. Therefore, this solution has the advantages of precise resource management, intelligent energy consumption management, and flexible mode switching, which significantly improves the overall performance and user experience of the battery-powered energy meter reading system; 5. Compared with the shortcomings of insufficient signal strength detection, unstable data transmission and imprecise module energy consumption management that may exist in the task scheduling and resource management of the communication module in the prior art, this solution adds a signal strength detection step when the control module performs task scheduling and resource management on the communication module, and flexibly controls the startup and data transmission of the communication module according to the signal strength. In the case of poor signal strength or data transmission failure, this solution adopts a strategy of waiting and retrying, and marks the data as data to be transmitted after multiple failures, effectively avoiding data loss caused by signal problems. At the same time, after the data transmission is completed, this solution controls each module to enter deep sleep mode, significantly reducing system energy consumption. Therefore, this solution has the advantages of comprehensive signal strength detection, stable data transmission and precise module energy consumption management, which improves the communication reliability and overall performance of the battery-powered energy meter reading system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 Shown is a schematic diagram of the structure of the battery-powered energy consumption meter reading system of the present invention; Figure 2 What is shown is a schematic diagram of the working process of the battery-powered energy consumption meter reading system of the present invention. DETAILED DESCRIPTION

[0018] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0019] See also Figure 1-2 The present invention provides an embodiment: a battery-powered energy consumption meter reading system, comprising: The battery module is used to provide the energy required for normal operation of the energy consumption collection module, data processing module, communication module and control module; Energy consumption collection module, used for different types of energy consumption meters, using different sensor technologies to collect data from energy consumption meters at regular intervals; A data processing module, used for processing the data collected by the energy consumption collection module; The communication module is used to send the processed data to the remote data center after the data processing module completes the processing of the data; The control module is used to realize task scheduling and resource management of the battery module, energy consumption collection module, data processing module and communication module; The remote data center is used to receive the data transmitted by the communication module and decompress, decode and summarize the data.

[0020] Preferably, the battery module comprises: A11: Battery: uses ultra-large capacity lithium-ion battery, with a rated capacity of more than 19000mAh; A12: Power management chip, responsible for battery charge and discharge control, power monitoring, overcharge protection and over-discharge protection.

[0021] As a preferred option, the sensor technology used in the energy consumption collection module is: A21: For energy consumption meters with mechanical dials, OCR character recognition image sensors are used to identify and obtain data from energy consumption meters using OCR image recognition technology; A22: For smart meters, infrared communication collectors are used to communicate with smart meters through specific communication protocols to achieve remote collection and reading of smart meter data; A23: For MODBUS meters that can communicate, a wired communication acquisition module is used, and the Modbus communication protocol is used for data transmission to achieve remote collection and reading of energy consumption meter data.

[0022] Preferably, the data processing module adopts a low-power microcontroller, and the data processing module supports multiple low-power modes. When the data processing module processes the data collected by the energy consumption collection module, the following steps are included: S11: Data filtering, processing the raw data through a digital filtering algorithm to remove noise and outliers in the collected data; S12: Data compression: using a data compression algorithm to compress the processed data to reduce the amount of data storage and transmission; S13: Data verification: verifying the compressed data through a verification algorithm to detect whether errors occur during the data compression process; S14: Data format conversion, formatting the processed data into JSON format, including key-value pair representation of energy consumption data, clear identification of data types, and hierarchical representation of data structures.

[0023] Preferably, the communication module adopts low-power technology CAT1, and the communication module uses the MQTT protocol. The communication frequency of the communication module is to transmit data twice a day by default, and the communication frequency of the communication module can be adjusted by the control module. The data collection frequency of the energy consumption collection module is to collect data twice a day by default, and the data collection frequency of the energy consumption collection module can be adjusted by the control module.

[0024] Preferably, the control module adopts an embedded real-time operating system luatos, wherein the control module includes the following steps when performing resource management on the battery module: S21: After the set data collection time is reached, the control module is first started and performs a self-check; S22: After the inspection is completed, the control module sends an instruction to the battery module. After receiving the instruction, the battery module detects the battery power through the power management chip; S23: When the battery power is less than 20%, the control module enters a low power consumption mode; when the battery power is greater than 20%, the control module enters a normal working mode; S24: After data collection and data transmission are completed, the control module controls the battery module to enter a low-energy sleep mode.

[0025] Preferably, when the control module enters the low power consumption mode, the control process adopted is: S31: When entering the low power mode, an alarm is first issued to inform the operator of low power information; S32: Continue to control the energy consumption collection module to perform normal data collection; S33: Detect the storage space of the system. If the remaining storage space of the system is greater than 30%, directly store the collected data. If the remaining storage space of the system is less than 30%, control the data processing module to process the data and then store the data. S34: Control the battery module, energy consumption acquisition module, data processing module and communication module to enter deep sleep mode.

[0026] Preferably, when the control module enters the normal working mode, the control process adopted is: S41: Control the energy consumption collection module to perform normal data collection; S42: Control the data processing module to process the data; S43: Control the communication module to transmit the processed data to a remote data center.

[0027] Specifically, the battery-powered energy consumption meter reading system provided by the present invention is intended to realize remote collection and data transmission of different types of energy consumption meters, thereby providing an accurate and convenient energy consumption data management solution. The system collects energy consumption meter data by deploying intelligent nodes at the end, using different sensor technologies (such as OCR image recognition, infrared communication, Modbus communication, etc.), and filtering, compressing, checking and format conversion through the data processing module of the low-power microcontroller, and finally transmitting the data to the remote data center through the low-power CAT1 communication module and MQTT protocol. The remote data center is responsible for receiving, storing and updating energy consumption data, and also provides functions such as data entry interface, missing data filling and energy consumption report generation, so as to facilitate operators to query, analyze and manage energy consumption data. The control module is the core of the entire system, responsible for coordinating the work of the battery module, energy consumption collection module, data processing module and communication module, and switching to low power mode according to the battery power status and system operation status to maximize the system life.

[0028] As described above, compared with the shortcomings of the control module in the prior art, such as the lack of refined resource management, unintelligent energy consumption management, and inflexible mode switching, this solution adopts the embedded real-time operating system luatos as the core of the control module, and realizes intelligent management of the battery module through a refined resource management process, including timed self-test, power detection, mode switching, and sleep control. At the same time, when entering the low-power mode, this solution can issue an alarm to notify the operator, and flexibly process data according to the system storage space, and then control each module to enter the deep sleep mode, effectively extending the battery life. When entering the normal working mode, this solution can orderly control each module to collect, process and transmit data to ensure efficient and stable operation of the system. Therefore, this solution has the advantages of refined resource management, intelligent energy consumption management, and flexible mode switching, which significantly improves the overall performance and user experience of the battery-powered energy consumption meter reading system.

[0029] Preferably, when the control module performs task scheduling and resource management on the communication module, the control module includes the following steps: S51: Before sending a start instruction to the communication module, detecting the signal strength of the communication module; S52: If the signal strength is good, the communication module is controlled to start and data transmission is performed. If the signal strength is poor, the signal strength is detected again after waiting for one minute. S53: If the signal transmission fails and the signal strength is detected three times, wait for ten minutes and then send the information again; S54: If the data is still not sent successfully after step S53 is repeated three times, the data is marked as data to be transmitted; S55: Control the battery module, energy consumption collection module, data processing module and communication module to enter deep sleep mode.

[0030] As described above, compared with the shortcomings of insufficient signal strength detection, unstable data transmission, and imprecise module energy consumption management that may exist in the task scheduling and resource management of the communication module in the prior art, this solution adds a signal strength detection step when the control module performs task scheduling and resource management on the communication module, and flexibly controls the startup and data transmission of the communication module according to the signal strength. In the case of poor signal strength or data transmission failure, this solution adopts a strategy of waiting and retrying, and marks the data as data to be transmitted after multiple failures, effectively avoiding data loss caused by signal problems. At the same time, after the data transmission is completed, this solution controls each module to enter a deep sleep mode, significantly reducing the system energy consumption. Therefore, this solution has the advantages of comprehensive signal strength detection, stable data transmission, and precise module energy consumption management, which improves the communication reliability and overall performance of the battery-powered energy meter reading system.

[0031] Preferably, the remote data center also has the following functions: A31: Store the collected data and update the database in real time after receiving new data; A32: Provides a data entry interface to enable operators to enter and modify data through the data entry interface; A33: Intelligently fill in the missing data through intelligent algorithms; A34: Generate energy consumption reports for operators to query and analyze.

[0032] The remote data center receives data and updates the database. The data is received from three sources: terminal equipment collection, manual correction, and algorithm intelligent filling. Among the three, manual correction has the highest priority, terminal meter reading is second, and algorithm intelligent filling has the lowest priority. After the database is updated, an energy consumption report is generated for operators to query and analyze. Example

[0033] System Overview The present invention relates to a battery-powered energy consumption meter reading system, which is designed to realize data collection, processing, transmission and remote management of different types of energy consumption meters through battery modules. The system includes a battery module, an energy consumption collection module, a data processing module, a communication module, a control module and a remote data center, and each module works together to realize efficient and reliable energy consumption data management.

[0034] System modules and functions Battery Module: Composition: Includes ultra-large capacity lithium-ion battery (rated capacity above 19000mAh) and power management chip.

[0035] Function: Provides the energy required for normal operation of the energy consumption acquisition module, data processing module, communication module and control module, and has functions such as charge and discharge control, power monitoring, overcharge protection and over-discharge protection.

[0036] Energy consumption collection module: Sensor Technology: For energy consumption meters with mechanical dials, OCR character recognition image sensors are used to identify and obtain energy consumption data through OCR image recognition technology.

[0037] For smart meters, infrared communication collectors are used to communicate with smart meters through specific communication protocols to achieve remote data collection.

[0038] For the modbus communicable meter, a wired communication acquisition module is used and the Modbus communication protocol is used for data transmission.

[0039] Data processing module: Composition: Adopts low-power microcontroller and supports multiple low-power modes.

[0040] Processing flow: Data filtering: Remove noise and outliers through digital filtering algorithms.

[0041] Data compression: Use data compression algorithms to reduce the amount of data storage and transmission.

[0042] Data verification: Use the verification algorithm to detect whether errors occur during the data compression process.

[0043] Data format conversion: Format the processed data into JSON format.

[0044] Communication module: Technology: Adopts low-power technology CAT1 and uses MQTT protocol.

[0045] Communication frequency: Data is transmitted twice a day by default, which can be adjusted through the control module.

[0046] Control Module Operating system: Adopts embedded real-time operating system luatos.

[0047] Resource Management: After reaching the set data collection time, self-check is performed and the system starts.

[0048] Check the battery level and enter low power mode or normal operation mode according to the battery level.

[0049] After data collection and data transmission are completed, the control battery module enters a low-energy sleep mode.

[0050] Low power mode control process: sound an alarm, continue data collection, detect storage space and store data, and control each module to enter deep sleep mode.

[0051] Normal working mode control process: control the energy consumption acquisition module to collect data, control the data processing module to process, and control the communication module to transmit data.

[0052] Task scheduling and resource management: Detect the signal strength of the communication module, transmit or wait for data based on the signal strength. If data transmission fails, mark it as data to be transmitted, and control each module to enter deep sleep mode.

[0053] Remote Data Center: Function: Store and update energy consumption data in the database in real time.

[0054] Provide a data entry interface to enable data entry and correction.

[0055] Fill in missing data through intelligent algorithms.

[0056] Generate energy consumption reports for operators to query and analyze. Implementation Effect

[0057] The battery-powered energy consumption meter reading system of the present invention ensures long-term stable operation of the system by adopting ultra-large capacity lithium-ion batteries and power management chips. At the same time, by adopting a variety of sensor technologies and low-power technologies, data collection and efficient processing of different types of energy consumption meters are realized. In addition, through the task scheduling and resource management of the control module and the powerful functions of the remote data center, comprehensive management and analysis of energy consumption data are realized. The system has broad application prospects and can be used in various energy consumption management scenarios to contribute to energy conservation, emission reduction and sustainable development.

[0058] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of those skilled in the art without departing from the spirit of the present invention.

Claims

1. Battery powered energy meter reading system; its features are: Included are: The battery module is used to provide the energy required for normal operation of the energy consumption collection module, data processing module, communication module and control module; Energy consumption collection module, used for different types of energy consumption meters, using different sensor technologies to collect data from energy consumption meters at regular intervals; A data processing module, used for processing the data collected by the energy consumption collection module; The communication module is used to send the processed data to the remote data center after the data processing module completes the processing of the data; The control module is used to realize task scheduling and resource management of the battery module, energy consumption collection module, data processing module and communication module; The remote data center is used to receive the data transmitted by the communication module and decompress, decode and summarize the data.

2. The battery-powered energy consumption meter reading system according to claim 1 is characterized in that: The battery module includes: A11: Battery: uses ultra-large capacity lithium-ion battery, with a rated capacity of more than 19000mAh; A12: Power management chip, responsible for battery charge and discharge control, power monitoring, overcharge protection and over-discharge protection.

3. The battery-powered energy consumption meter reading system according to claim 2 is characterized in that: The sensor technology used in the energy consumption collection module is: A21: For energy consumption meters with mechanical dials, OCR character recognition image sensors are used to identify and obtain data from energy consumption meters using OCR image recognition technology; A22: For smart meters, infrared communication collectors are used to communicate with smart meters through specific communication protocols to achieve remote collection and reading of smart meter data; A23: For MODBUS meters that can communicate, a wired communication acquisition module is used, and the Modbus communication protocol is used for data transmission to achieve remote collection and reading of energy consumption meter data.

4. The battery-powered energy consumption meter reading system according to claim 3 is characterized in that: The data processing module adopts a low-power microcontroller, and the data processing module supports multiple low-power modes. When the data processing module processes the data collected by the energy consumption collection module, it includes the following steps: S11: Data filtering, processing the raw data through a digital filtering algorithm to remove noise and outliers in the collected data; S12: Data compression: using a data compression algorithm to compress the processed data to reduce the amount of data storage and transmission; S13: Data verification: verifying the compressed data through a verification algorithm to detect whether errors occur during the data compression process; S14: Data format conversion, formatting the processed data into JSON format, including key-value pair representation of energy consumption data, clear identification of data types, and hierarchical representation of data structures.

5. The battery-powered energy consumption meter reading system according to claim 4 is characterized in that: The communication module adopts low-power technology CAT1, and the communication module uses the MQTT protocol. The communication frequency of the communication module is to transmit data twice a day by default, and the communication frequency of the communication module can be adjusted through the control module. The data collection frequency of the energy consumption collection module is to collect data twice a day by default, and the data collection frequency of the energy consumption collection module can be adjusted through the control module.

6. The battery-powered energy consumption meter reading system according to claim 5, characterized in that: The control module adopts the embedded real-time operating system luatos, wherein the control module includes the following steps when performing resource management on the battery module: S21: After the set data collection time is reached, the control module is first started and performs a self-check; S22: After the inspection is completed, the control module sends an instruction to the battery module. After receiving the instruction, the battery module detects the battery power through the power management chip; S23: When the battery power is less than 20%, the control module enters a low power consumption mode; when the battery power is greater than 20%, the control module enters a normal working mode; S24: After data collection and data transmission are completed, the control module controls the battery module to enter a low-energy sleep mode.

7. The battery-powered energy consumption meter reading system according to claim 6, characterized in that: When the control module enters the low power consumption mode, the control process adopted is: S31: When entering the low power mode, an alarm is first issued to inform the operator of low power information; S32: Continue to control the energy consumption collection module to perform normal data collection; S33: Detect the storage space of the system. If the remaining storage space of the system is greater than 30%, directly store the collected data. If the remaining storage space of the system is less than 30%, control the data processing module to process the data and then store the data. S34: Control the battery module, energy consumption acquisition module, data processing module and communication module to enter deep sleep mode.

8. The battery-powered energy consumption meter reading system according to claim 7, characterized in that: When the control module enters the normal working mode, the control process adopted is: S41: Control the energy consumption collection module to perform normal data collection; S42: Control the data processing module to process the data; S43: Control the communication module to transmit the processed data to a remote data center.

9. The battery-powered energy consumption meter reading system according to claim 8, characterized in that: When the control module performs task scheduling and resource management on the communication module, the following steps are included: S51: Before sending a start instruction to the communication module, detecting the signal strength of the communication module; S52: If the signal strength is good, the communication module is controlled to start and data transmission is performed. If the signal strength is poor, the signal strength is detected again after waiting for one minute. S53: If the signal transmission fails and the signal strength is detected three times, wait for ten minutes and then send the information again; S54: If the data is still not sent successfully after step S53 is repeated three times, the data is marked as data to be transmitted; S55: Control the battery module, energy consumption collection module, data processing module and communication module to enter deep sleep mode.

10. The battery-powered energy consumption meter reading system according to claim 9, characterized in that: The remote data center also has the following functions: A31: Store the collected data and update the database in real time after receiving new data; A32: Provides a data entry interface to enable operators to enter and modify data through the data entry interface; A33: Intelligently fill in the missing data through intelligent algorithms; A34: Generate energy consumption reports for operators to query and analyze.

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