Data acquisition terminal for electric power facility monitoring and Internet of Things deployment

Abstract

The invention discloses a data acquisition terminal for electric power facility monitoring and Internet of Things deployment, which belongs to the technical field of electric power facility monitoring and data communication and comprises a sensor interface module, a data acquisition module and an Internet of Things communication module. The sensor interface module is electrically connected to the data acquisition module and is used for receiving original data acquired by data acquisition equipment; the data acquisition module is electrically connected to the Internet of Things communication module, and is used for analyzing the original data based on a data analysis rule preset by a data acquisition demand, and then extracting core data; and the Internet of Things communication module is used for acquiring an optimal path based on broadcast communication, uploading the core data to the data acquisition device by using the optimal path, driving a data processing platform in the data acquisition device, and processing and storing the core data based on edge computing. The problems that the data loss rate is high and the transmission efficiency is low due to the fact that the data is not processed and the transmission path of the data is not planned are solved.

Description

Technical Field

[0001] The present invention relates to the field of power facility monitoring and data communication technology, and in particular to a data acquisition terminal for power facility monitoring and Internet of Things deployment. Background Art

[0002] With the large-scale application of power facilities, it is necessary to conduct risk investigation on power facilities. The existing technology mainly uses manual inspection and drone inspection to timely discover the fault or damage of power facilities. For example, a power equipment monitoring and alarm system with patent number CN111402552A includes a drone, a ground base station, a communication module, an image acquisition module, an image optimization module, a judgment analysis module and an alarm module; the image acquisition module is arranged on the drone to collect image information; the image optimization module and the judgment analysis module are arranged on the ground base station to optimize the image information and compare it, and the alarm module chooses whether to alarm according to the analysis result of the judgment analysis module. The above scheme uses drones to replace staff for inspection, which greatly improves the inspection coverage area and speed and saves manpower. However, the data acquisition module of the above scheme is far away from the data processing terminal and in the process of transmitting the acquired large amount of data to the data processing terminal, the data is not processed and the data transmission path is not planned, which easily leads to data loss and low transmission efficiency. Summary of the invention

[0003] In view of the problem of high data loss rate and low transmission efficiency due to the failure to process data and plan the data transmission path in the prior art, the present invention provides a data acquisition terminal for power facility monitoring and Internet of Things deployment. By integrating the data acquisition module with the sensor interface module, and the data acquisition module obtains core data through data parsing rules, data loss is avoided while reducing the amount of transmitted data, thereby improving data transmission efficiency. The optimal path is obtained through broadcast communication, and the core data is transmitted through the optimal path, further significantly improving data transmission efficiency. The problem of high data loss rate and low transmission efficiency due to the failure to process data and plan the data transmission path is solved. The data loss rate is significantly reduced and the data transmission efficiency is improved.

[0004] To solve the above technical problems, the present invention provides a data acquisition terminal for power facility monitoring and Internet of Things deployment, including a sensor interface module, a data acquisition module, and an Internet of Things communication module; The sensor interface module is electrically connected to the data acquisition module and is used to receive the raw data collected by the data acquisition device; The data acquisition module is electrically connected to the Internet of Things communication module, and is used to parse the original data based on the data parsing rules preset based on the data acquisition requirements, and then extract the core data; The IoT communication module is used to obtain the optimal path based on broadcast communication, upload the core data to the data acquisition device using the optimal path, and drive the data processing platform in the data acquisition device to process and store the core data based on edge computing.

[0005] After adopting the above technical solution, the present invention has the following advantages: Considering that the collected data will be processed after being transmitted over long distances, and that data is easily lost during long-distance transmission, in order to ensure that the processed data is complete and accurate, the data acquisition module is integrated with the sensor interface module to avoid data loss, thereby ensuring the integrity and accuracy of the processed data; Considering that there are redundant and isolated data in the acquired data, the data acquisition module obtains the core data through data parsing rules, which reduces the amount of data transmitted and improves the data transmission efficiency; Obtain the optimal path through broadcast communication, and then transmit the core data through the optimal path, further significantly improving the data transmission efficiency; Edge computing processes and stores the acquired core data, reducing the amount of data that needs to be processed by edge computing, thereby improving data processing efficiency; The problem of high data loss rate and low transmission efficiency caused by not processing data and not planning the data transmission path is solved.

[0006] Preferably, the original data includes at least the satellite navigation positioning data of the power facilities collected by the Beidou positioning module in the data collection device and the state parameters and environmental parameters of the power facilities collected by the sensor module in the data collection device.

[0007] Since some power facilities are located in remote areas with weak signals, the Beidou positioning module utilizes the high-precision positioning characteristics of the Beidou satellite navigation system to accurately obtain the location information of power facilities in remote areas. By combining the accurate location information of power facilities, the status information of power facilities and the environmental information of the environment in which the power facilities are located, the power facilities can be monitored from various aspects, thereby improving the comprehensiveness of the monitoring.

[0008] Preferably, the step of parsing the original data based on the data parsing rules preset based on the data acquisition requirements to extract the core data includes: Eliminate single data from the original data based on the time rule in the data parsing rule, and then obtain valid data, match the valid data with the comparison rule in the data parsing rule, and use the successfully matched valid data as the target data; The target data is integrity checked based on the protocol rules in the data parsing rules, and the target data that passes the integrity check is the core data.

[0009] Since a single data only represents the status of a single aspect of the power facility, and the status of a single aspect is accidental, it is difficult to evaluate the power facility based on the status of a single aspect. Therefore, the single data is eliminated to reduce the amount of data. When the acquired data has no obvious changes within a certain period, the power facility is most likely in a normal working state. Therefore, by matching, the period in which the data has no obvious changes is eliminated, thereby further reducing the amount of data. By performing an integrity check on the target data, the influence of invalid data on the final power facility evaluation results is avoided, thereby improving the accuracy of the evaluation.

[0010] Preferably, the step of eliminating single data in the original data based on the time rule in the data parsing rule to obtain valid data includes: Obtain the timestamp of the original data, and determine whether the same timestamp only receives the original data collected by the same module in the data acquisition device. If the same timestamp only receives the original data collected by the same module in the data acquisition device, then the original data collected by the same module is the single data.

[0011] Preferably, matching the valid data with the comparison rule in the data parsing rule and taking the successfully matched valid data as the target data comprises: The valid data in each preset period are compared, and the valid data in the preset period in which the difference between any two valid data in the preset period is greater than the preset difference is taken as the target data.

[0012] Preferably, the acquiring the optimal path based on broadcast communication and uploading the core data to the data acquisition device using the optimal path includes: Determine the broadcast communication range according to the address of the data acquisition device in the core data, send the path query request to the routing node within the broadcast communication range, and the routing node evaluates the path length from itself to the data acquisition device and the number of routing nodes passed according to the routing table and the network topology structure; The optimal path is obtained using the path length and the number of routing nodes passed through.

[0013] Since the data acquisition device and routing nodes may be scattered in different network locations, through the characteristics of broadcast communication, the path query request can be efficiently sent to all relevant routing nodes without obtaining the specific address of each routing node. The routing node evaluates the path length from itself to the data acquisition device and the number of routing nodes passed through according to the network topology structure, taking into account the changes in the network topology structure, thereby improving the flexibility of optimal path selection, and at the same time improving the reliability and efficiency of data transmission.

[0014] Preferably, the use of the path length and the number of routing nodes passed through to obtain the optimal path includes: setting weights of the path length and the number of routing nodes passed through based on the data acquisition requirements, and obtaining the optimal path based on the weights and the path length and the number of routing nodes passed through.

[0015] Preferably, the data acquisition terminal further comprises a solar energy charging and discharging management module for converting solar energy into electrical energy.

[0016] Preferably, the solar charge and discharge management module includes a solar charge and discharge management circuit and a power management module; the solar charge and discharge management circuit is electrically connected to the power management module to provide a voltage source for the power management module; The power management module is electrically connected to the sensor interface module, the data acquisition module and the Internet of Things communication module, and is used to supply power to the sensor interface module, the data acquisition module and the Internet of Things communication module.

[0017] Preferably, the data acquisition terminal also includes a fault warning module, which is used to determine whether the number of valid data whose difference between any two valid data within the preset period is greater than the preset difference is greater than the preset number. At the same time, when it is determined that the number of valid data whose difference between any two valid data within the preset period is greater than the preset difference is greater than the preset number, a fault warning information is generated and sent to the warning display platform in the data acquisition device.

[0018] The beneficial effects of this program: Since some power facilities are located in remote areas with weak signals and the Beidou positioning module has the characteristics of high-precision positioning, the Beidou positioning module can accurately obtain the location information of power facilities in remote areas. By combining the accurate location information of power facilities, the status information of power facilities and the environmental information of the environment in which the power facilities are located, the power facilities can be monitored from all aspects, thereby improving the comprehensiveness of monitoring; Considering that the collected data will be processed after being transmitted over long distances, and that data is easily lost during long-distance transmission, in order to ensure that the processed data is complete and accurate, the data acquisition module is integrated with the sensor interface module to avoid data loss, thereby ensuring the integrity and accuracy of the processed data; Considering that there are redundant data and isolated data in the acquired data, the data acquisition module obtains the core data through data parsing rules, which reduces the amount of data transmitted and improves the data transmission efficiency. The optimal path is obtained through broadcast communication, and the core data is transmitted through the optimal path, which further significantly improves the data transmission efficiency. The routing node evaluates the path length from itself to the data acquisition device and the number of routing nodes it passes through according to the network topology, taking into account the changes in the network topology, thereby improving the flexibility of optimal path selection and the reliability and efficiency of data transmission; Edge computing processes and stores the acquired core data, reducing the amount of data that needs to be processed by edge computing, thereby improving data processing efficiency; The problem of high data loss rate and low transmission efficiency caused by not processing data and not planning the data transmission path is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Other features, objects and advantages of the present invention will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings. The drawings are only for the purpose of illustrating preferred embodiments and are not to be considered as limiting the present invention. Also, the same reference symbols are used throughout the drawings to represent the same parts.

[0020] Figure 1 This is a schematic diagram of the structure of a data acquisition terminal for power facility monitoring and Internet of Things deployment according to the present invention; Figure 2 This is a schematic diagram of the installation of a data acquisition terminal for power facility monitoring and Internet of Things deployment according to the present invention; Figure 3 This is a schematic diagram of the connection of a solar charge and discharge management module in a data acquisition terminal for power facility monitoring and Internet of Things deployment in the present invention; Figure 4 This is a topological diagram of the networking mode of the data acquisition terminal for power facility monitoring and Internet of Things deployment in the present invention. DETAILED DESCRIPTION

[0021] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific implementation method described herein is only an optimal embodiment of the present invention, which is only used to explain the present invention and does not limit the scope of protection of the present invention. All other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0022] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flow charts. Although the flow charts describe the operations (or steps) as sequential processes, many of the operations (or steps) therein can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but can also have additional steps not included in the drawings; the process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0023] Embodiment 1: like Figure 1 As shown, the data acquisition terminal for power facility monitoring and IoT deployment includes a sensor interface module, a data acquisition module, and an IoT communication module; The sensor interface module is electrically connected to the data acquisition module and is used to receive the original data collected by the data acquisition device.

[0024] The original data at least includes the satellite navigation positioning data of the power facilities collected by the Beidou positioning module in the data collection device and the state parameters and environmental parameters of the power facilities collected by the sensor module in the data collection device.

[0025] In this embodiment, the data acquisition terminal is placed in the power distribution cabinet, which is fixed to the target tower through a clamp. The sensor interface module includes multiple communication interfaces, including but not limited to RS485, RS232, I 2 C, SPI, UART and analog signal input channels to adapt to the access of power facility sensor equipment of different types and manufacturers. The sensor interface module supports hot-swap and plug-and-play functions to ensure that the original data, that is, various sensor data, can be seamlessly connected to the data acquisition module according to the pre-set standardized protocol, which is convenient for realizing automatic data collection and monitoring. At the same time, the sensor interface module has good electromagnetic compatibility and anti-interference design to ensure the stability and accuracy of data transmission in complex electromagnetic environments.

[0026] like Figure 2As shown, the Beidou positioning module includes a full-constellation full-frequency external GNSS antenna, namely, a Beidou antenna and a GNSS circuit, which is located on the target tower and on the same horizontal line as the sensor A and sensor B in the sensor module, and can accurately obtain the geographical location information of power facilities in remote areas. The module is connected to the sensor interface module and regularly sends the collected satellite navigation positioning data of the power facilities to the sensor interface module. The original data includes a module identifier, which is used to distinguish different modules in the data acquisition device. The original data also includes time synchronization data, which is used to ensure the time synchronization of each module in the data acquisition device, so that each module in the data acquisition device can obtain the original data at the same time, so as to comprehensively analyze the original data obtained by each module from various aspects, and then comprehensively evaluate the status of the power facilities, thereby improving the comprehensiveness of monitoring.

[0027] The data acquisition module is electrically connected to the Internet of Things communication module, and is used to parse the original data based on the data parsing rules preset based on the data acquisition requirements, and then extract the core data.

[0028] The data parsing rules preset based on the data acquisition requirements are used to parse the original data, and then extract the core data, including: Eliminate single data from the original data based on the time rule in the data parsing rule, and then obtain valid data, match the valid data with the comparison rule in the data parsing rule, and use the successfully matched valid data as the target data; The target data is checked for integrity based on the protocol rules in the data parsing rules, and the target data that passes the integrity check is the core data.

[0029] The step of eliminating single data in the original data based on the time rule in the data parsing rule, and then obtaining valid data includes: Obtain the timestamp of the original data, and determine whether the same timestamp only receives the original data collected by the same module in the data acquisition device. If the same timestamp only receives the original data collected by the same module in the data acquisition device, then the original data collected by the same module is the single data.

[0030] The matching of the valid data with the comparison rule in the data parsing rule and taking the successfully matched valid data as the target data includes: The valid data in each preset period are compared, and the valid data in the preset period in which the difference between any two valid data in the preset period is greater than the preset difference is taken as the target data.

[0031] In this embodiment, the data acquisition module adopts a high-performance embedded microprocessor with ARM Cortex-A architecture, which has powerful data processing, protocol parsing capabilities and low power consumption characteristics, can efficiently run operating systems and applications, realize real-time processing of acquired information, protocol packaging and unpacking, and execution of control commands, and supports multi-task parallel processing and coordination between modules. The data acquisition requirement is to obtain data that has an impact on the evaluation of power facilities. In order to obtain data that has an impact on the evaluation of power facilities, the obtained original data is processed through preset data analysis rules to obtain core data. For example: if the original data is the satellite navigation positioning data A1 of the power facility obtained at time A and the state parameters A2 and environmental parameters A3 of the power facility collected by the sensor module in the data acquisition device, the satellite navigation positioning data B1 of the power facility obtained at time B and the state parameters B2 and environmental transmission B3 of the power facility collected by the sensor module in the data acquisition device, the satellite navigation positioning data C1 of the power facility obtained at time C and the state parameters C2 and environmental transmission C3 of the power facility collected by the sensor module in the data acquisition device, and the satellite navigation positioning data D1 of the power facility obtained at time D, then only the satellite navigation positioning data D1 is obtained at time D, so d1 is a single data. If time A to time C is a Preset period, at this time A1, B1, C1 are compared, A2, B2, C2 are compared, A3, B3, C3 are compared, if the difference between any two data of A1, B1, C1 is greater than the preset difference, then the valid data obtained from time A to time C is the target data, if the difference between any two data of A1, B1, C1 is less than the preset difference, then continue to judge whether the difference between any two data of A2, B2, C2 is greater than the preset difference, if greater, the valid data obtained from time A to time C is the target data, if less than or equal to, then continue to judge whether the difference between any two data of A3, B3, C3 is greater than the preset difference, if greater, the valid data obtained from time A to time C is the target data, if less than or equal to, it means that the power facilities are in normal working state within the preset period, and there is no need to transmit the data within the preset period to the data acquisition device, while reducing the amount of data transmission, thereby improving the data transmission efficiency.

[0032] The IoT communication module is used to obtain the optimal path based on broadcast communication, upload the core data to the data acquisition device using the optimal path, and drive the data processing platform in the data acquisition device to process and store the core data based on edge computing.

[0033] The method of acquiring the optimal path based on broadcast communication and uploading the core data to the data acquisition device using the optimal path includes: Determine the broadcast communication range according to the address of the data acquisition device in the core data, send the path query request to the routing node within the broadcast communication range, and the routing node evaluates the path length from itself to the data acquisition device and the number of routing nodes passed according to the routing table and the network topology structure; The optimal path is obtained using the path length and the number of routing nodes passed through.

[0034] The using the path length and the number of passed routing nodes to obtain the optimal path comprises: The weights of the path length and the number of routing nodes passed through are set based on the data acquisition requirements, and an optimal path is determined based on the weights, the path length, and the number of routing nodes passed through.

[0035] In this embodiment, Figure 2 As shown, the IoT communication module includes an IoT antenna parallel to the Beidou antenna. The IoT communication module adopts narrowband IoT LoRaWAN wireless communication technology, which has the characteristics of large coverage, low power consumption, large connection, and low cost, and multiple networking modes such as synchronous, asynchronous, and mesh. It can form a power-specific IoT for nearby circuit lines, thereby facilitating the data intercommunication of all data acquisition terminals in the dedicated line through broadcast communication, and facilitating each routing node to evaluate the path length from itself to the data acquisition device, the number of routing nodes passed through, and the bandwidth utilization rate according to the address of the data acquisition device and the network topology structure. At the same time, the path length from itself to the data acquisition device, the number of routing nodes passed through, and the bandwidth utilization rate are evaluated through the network topology, and the changes in the network topology structure are taken into account, thereby improving the flexibility of the optimal path selection, and at the same time improving the reliability and efficiency of data transmission.

[0036] It also includes the bandwidth utilization rate from the data acquisition device to the data acquisition device based on the data acquisition requirements, and the weights of the path length, the number of routing nodes passed through, and the bandwidth utilization rate from the data acquisition device to the data acquisition device are set based on the data acquisition requirements. Specifically, if the real-time requirements for data are higher, a larger weight is set for the path length; if the number of data processing times during transmission needs to be reduced, a larger weight is set for the number of routing nodes passed through; if the bandwidth utilization rate needs to be improved, a larger weight is set for the bandwidth utilization rate. Improve the weighting calculation of various types of data and data, and then use the path corresponding to the maximum value of the weighted calculation result as the optimal path, and transmit the core data through the optimal path, further significantly improving the data transmission efficiency.

[0037] The data acquisition terminal also includes a solar energy charging and discharging management module for converting solar energy into electrical energy.

[0038] The solar charge and discharge management module includes a solar charge and discharge management circuit and a power management module; The solar charge and discharge management circuit is electrically connected to the power management module and is used to provide a voltage source for the power management module; The power management module is electrically connected to the sensor interface module, the data acquisition module and the Internet of Things communication module, and is used to supply power to the sensor interface module, the data acquisition module and the Internet of Things communication module.

[0039] The data acquisition terminal also includes a fault warning module, which is used to determine whether the difference between any two valid data within the preset period is greater than the preset difference and whether the number of valid data is greater than the preset number. At the same time, when it is determined that the difference between any two valid data within the preset period is greater than the preset difference and the number of valid data is greater than the preset number, fault warning information is generated and sent to the warning display platform in the data acquisition device.

[0040] In this embodiment, if Figure 2-3 As shown, the solar charge and discharge management module also includes a solar panel, a solar controller, a lightning protection diode, a lithium battery pack and an overcurrent and overvoltage protection circuit, wherein the solar panel is selected to be a single crystal silicon 18V-50W specification, and the output is carried out through a red and black two-wire, and a lightning protection diode is connected in parallel at the output end to prevent instantaneous large current dumping such as lightning strikes and surges. The output of the solar panel is connected to the power input end of the solar charge and discharge management circuit. The solar charge and discharge management chip uses Shanghai Ruyun Electronics CN3795, which can meet the operating environment of -40 to 85°C, and realizes the maximum power point tracking of the solar panel, providing a maximum of 4A continuous constant current charging current, with the characteristics of high charging efficiency and low loss. The power output end of the solar charge and discharge management circuit is connected to the lithium battery pack, and the specification of the lithium battery pack is ternary lithium 12V-20AH. The power management module includes a 5V step-down circuit, a 4V step-down circuit, a 3.3V step-down circuit and an overcurrent voltage protection circuit. The DC-DC chips of the three step-down circuits all use TI's TPS5430DDAR. By adjusting the voltage divider resistor ratio, different voltage outputs can be achieved. The chip can meet the operating environment of -40 to 125°C and provide a continuous output current of 3A. It has the characteristics of high output accuracy and high sensitivity. The overcurrent and overvoltage protection circuit consists of a self-recovery fuse and a TVS tube. The self-recovery fuse is placed at the power input end for 12V power input protection, and the TVS tube is placed at each DC output for low-voltage output protection.

[0041] In this embodiment, the data acquisition terminal also includes a 4G communication module, a data storage module and a fault warning module. Through the coordinated use of the 4G communication module and the Internet of Things communication module, the core data can be further sent safely and reliably to the remote data processing platform. The data storage module is used to temporarily save the collected data, and the fault warning module is used to determine whether the difference between any two valid data within the preset period is greater than the preset difference, and whether the number of valid data is greater than the preset number. At the same time, when it is determined that the difference between any two valid data within the preset period is greater than the preset difference, the number of valid data is greater than the preset number, a fault warning information is generated and sent to the warning display platform in the data acquisition device. Through the use of the fault warning module, abnormal data of the power facilities can be discovered in time, and then the inspection personnel and maintenance personnel can be reminded in time to repair the power facilities.

[0042] In this embodiment, if Figure 4As shown, a data acquisition terminal can be installed on each power tower, and multiple data acquisition terminals cooperate with each other to transmit the collected data to the data acquisition device. The specific process is as follows: when all modules are in working mode, the Beidou positioning module sends the collected satellite navigation data to the sensor interface module in real time, and the sensor module also sends the sensor data collected in real time to the sensor interface module. After receiving the data, the sensor interface module requests the data storage address from the data acquisition module. The data acquisition module parses the data stream header, and processes the raw data to obtain the core data according to the protocol identifier contained in the header to distinguish the sensor data, and stores the core data in the corresponding addresses A1, A2, and A3. The acquisition module performs secondary processing on the core data, and packages the processed data again and stores it at addresses B1, B2, and B3. After the data is packaged, the data acquisition module sends a data reporting request to the Internet of Things communication module. After receiving the request, the Internet of Things communication module broadcasts to the node, queries the routing method with the least link nodes and the lightest load, and returns it to the data acquisition module. The data acquisition module determines the optimal path based on the received routing address set, and uses the optimal path to pass the data packet to the next node address in the set. After receiving the data packet, the Internet of Things communication module of the subsequent tower node passes the data to the corresponding data acquisition module. The data acquisition module parses the routing node set in the packet header, reads the next node address, and continues to transmit. Until the data packet is transmitted to the final data acquisition device, the final data acquisition device parses the packet header and passes the data to the data acquisition module. After receiving the message, the data acquisition module establishes a TCP connection with the data processing platform through the 4G communication module and uploads the data packet to the data processing platform, i.e., the cloud server. After the platform accepts the completion, it replies to the 4G node. After receiving the reply, the 4G node destroys the data link and then replies to the data production node. After receiving the reply, the data production node destroys the data link. At this point, the data upload process is completed. Through the collaborative work of multiple data acquisition terminals, many drawbacks of traditional power facility monitoring have been effectively overcome, data barriers between different devices and regions have been eliminated, and efficient, comprehensive and accurate data collection and transmission of power lines have been achieved, promoting the construction of the power Internet of Things and improving the efficiency of smart grid operation and maintenance. At the same time, through modular design and the introduction of standardized protocols, the construction and maintenance costs of the power system have been reduced, and the universality and flexibility of the power system have been improved.

[0043] The specific implementation described above is a preferred implementation of the data acquisition terminal for power facility monitoring and Internet of Things deployment of the present invention, and is not intended to limit the specific implementation scope of the present invention. The scope of the present invention includes but is not limited to this specific implementation. All equivalent changes made in accordance with the shape and structure of the present invention are within the protection scope of the present invention.

Claims

1. Data acquisition terminal for power facility monitoring and IoT deployment, characterized by: Including sensor interface module, data acquisition module, and Internet of Things communication module; The sensor interface module is electrically connected to the data acquisition module and is used to receive the raw data collected by the data acquisition device; The data acquisition module is electrically connected to the Internet of Things communication module, and is used to parse the original data based on the data parsing rules preset based on the data acquisition requirements, and then extract the core data; The IoT communication module is used to obtain the optimal path based on broadcast communication, upload the core data to the data acquisition device using the optimal path, and drive the data processing platform in the data acquisition device to process and store the core data based on edge computing.

2. The data acquisition terminal for power facility monitoring and Internet of Things deployment according to claim 1 is characterized in that: The original data at least includes the satellite navigation positioning data of the power facilities collected by the Beidou positioning module in the data collection device and the state parameters and environmental parameters of the power facilities collected by the sensor module in the data collection device.

3. The data acquisition terminal for power facility monitoring and Internet of Things deployment according to claim 1 is characterized in that: The data parsing rules preset based on the data acquisition requirements are used to parse the original data, and then extract the core data, including: Eliminate single data from the original data based on the time rule in the data parsing rule, and then obtain valid data, match the valid data with the comparison rule in the data parsing rule, and use the successfully matched valid data as the target data; The target data is integrity checked based on the protocol rules in the data parsing rules, and the target data that passes the integrity check is the core data.

4. The data acquisition terminal for power facility monitoring and Internet of Things deployment according to claim 3 is characterized in that: The step of eliminating single data in the original data based on the time rule in the data parsing rule, and then obtaining valid data includes: Obtain the timestamp of the original data, and determine whether the same timestamp only receives the original data collected by the same module in the data acquisition device. If the same timestamp only receives the original data collected by the same module in the data acquisition device, then the original data collected by the same module is the single data.

5. The data acquisition terminal for power facility monitoring and Internet of Things deployment according to claim 3 is characterized in that: The matching of the valid data with the comparison rule in the data parsing rule and taking the successfully matched valid data as the target data includes: The valid data in each preset period are compared, and the valid data in the preset period in which the difference between any two valid data in the preset period is greater than the preset difference is taken as the target data.

6. The data acquisition terminal for power facility monitoring and Internet of Things deployment according to claim 1, characterized in that: The method of acquiring the optimal path based on broadcast communication and uploading the core data to the data acquisition device using the optimal path includes: Determine the broadcast communication range according to the address of the data acquisition device in the core data, send the path query request to the routing node within the broadcast communication range, and the routing node evaluates the path length from itself to the data acquisition device and the number of routing nodes passed according to the routing table and the network topology structure; The optimal path is obtained using the path length and the number of routing nodes passed through.

7. The data acquisition terminal for power facility monitoring and Internet of Things deployment according to claim 6, characterized in that: The using the path length and the number of passed routing nodes to obtain the optimal path comprises: The weights of the path length and the number of routing nodes passed through are set based on the data acquisition requirements, and the optimal path is obtained based on the weights, the path length, and the number of routing nodes passed through.

8. The data acquisition terminal for power facility monitoring and Internet of Things deployment according to claim 1, characterized in that: The data acquisition terminal also includes a solar energy charging and discharging management module for converting solar energy into electrical energy.

9. The data acquisition terminal for power facility monitoring and Internet of Things deployment according to claim 8, characterized in that: The solar charge and discharge management module includes a solar charge and discharge management circuit and a power management module; The solar charge and discharge management circuit is electrically connected to the power management module and is used to provide a voltage source for the power management module; The power management module is electrically connected to the sensor interface module, the data acquisition module and the Internet of Things communication module, and is used to supply power to the sensor interface module, the data acquisition module and the Internet of Things communication module.

10. The data acquisition terminal for power facility monitoring and Internet of Things deployment according to claim 5, characterized in that: The data acquisition terminal also includes a fault warning module, which is used to determine whether the difference between any two valid data within the preset period is greater than the preset difference and whether the number of valid data is greater than the preset number. At the same time, when it is determined that the difference between any two valid data within the preset period is greater than the preset difference and the number of valid data is greater than the preset number, fault warning information is generated and sent to the warning display platform in the data acquisition device.

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