One-transmitting and two-receiving power distribution network automation internet-of-things terminal

Abstract

The invention discloses a one-transmitting and two-receiving power distribution network automation internet-of-things terminal, and particularly relates to the technical field of internet-of-things terminals, which comprises a data acquisition module, an intelligent communication module, a data processing and analysis module, a remote control execution module, an energy management module and a safety protection module. The intelligent management level of the power distribution network can be remarkably improved, the real-time performance and accuracy of data are ensured through efficient data acquisition and a double-receiving-end communication protocol, the integrated data processing and analysis module uses an advanced machine learning algorithm and a big data analysis technology, accurate load prediction and fault early warning are achieved, and the system is suitable for large-scale popularization and application. According to the invention, the power distribution network terminal provides powerful guarantee for stable operation of a power system, and meanwhile, comprehensive safety protection measures and environment adaptability design ensure the safety and reliability of the terminal in different application scenes, so that the operation efficiency, safety and intelligent level of the power distribution network are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things terminals, and more specifically, to a one-transmitter and two-receiver distribution network automation Internet of Things terminal. Background Art

[0002] At present, with the continuous development of power systems and the improvement of their intelligence levels, higher requirements are placed on the monitoring, control and management of distribution networks. Traditional distribution network management methods have problems such as inaccurate data collection, poor communication, slow processing speed, and insufficient safety protection, which are difficult to meet the needs of modern power systems. In the current power system, distribution automation terminal technology has made significant progress. These terminals can realize functions such as detection of distribution system faults, detection of power grid status information, system protection, fault recording, and monitoring and control.

[0003] However, with the increasing complexity of power systems and the increasing demand for intelligence, existing distribution automation terminals still have the following shortcomings:

[0004] 1. In terms of data collection, traditional distribution automation terminals are often limited by technical conditions and can only collect limited power parameter data, such as basic information such as voltage and current. It is difficult to fully cover more complex parameters such as power factor, frequency, harmonic content, etc. In addition, the accuracy and real-time performance of data collection need to be improved to better meet the power system's needs for real-time monitoring and fault warning;

[0005] 2. In terms of communication efficiency, most existing distribution automation terminals use a single communication protocol, which limits the efficiency and flexibility of data transmission. Especially in complex and changeable power systems, a single communication protocol often cannot meet the needs of multiple application scenarios, and cannot achieve efficient data transmission and flexible switching of multiple communication methods;

[0006] 3. In terms of data processing and analysis, traditional distribution automation terminals lack advanced algorithm and model support, resulting in slow data processing and inaccurate analysis results. Especially in load forecasting and fault warning, traditional terminals often find it difficult to provide accurate analysis results and timely warning information, thus affecting the stable operation of the power system and the rapid response to faults.

[0007] In view of the above situation, the present invention provides a one-transmitter and two-receiver distribution network automation IoT terminal. Summary of the invention

[0008] In order to overcome the above-mentioned defects of the prior art, the present invention provides a one-transmitter and two-receiver distribution network automation Internet of Things terminal to solve the problems raised in the above-mentioned background technology.

[0009] To achieve the above-mentioned object, the present invention provides the following technical solutions: a one-transmitter and two-receiver distribution network automation IoT terminal, comprising a data acquisition module, an intelligent communication module, a data processing and analysis module, a remote control execution module, an energy management module and a safety protection module;

[0010] The data acquisition module is configured to collect power parameter data in real time from multiple monitoring points in the distribution network, including but not limited to voltage, current, power factor, frequency and harmonic content;

[0011] The intelligent communication module adopts a dual-receiving end communication protocol so that a single transmitting end can send data to two independent receiving ends simultaneously;

[0012] The data processing and analysis module integrates machine learning algorithms and big data analysis to preprocess, extract features, identify patterns, and diagnose faults on the collected data, so as to provide real-time distribution network status monitoring, load forecasting, and fault warning;

[0013] The remote control execution module is used to automatically or manually trigger remote control instructions for devices in the distribution network according to the output results of the advanced data processing and analysis engine. The remote control instructions include switch operations and parameter adjustments to achieve remote operation and maintenance and rapid response to faults;

[0014] The energy management module is used to optimize the energy use of the terminal, including the integration and scheduling of renewable energy such as solar energy or wind energy, and low power consumption design to ensure the continuous and stable operation of the terminal in a complex environment;

[0015] The security protection module integrates encrypted communication, access control and intrusion detection to ensure the security of data transmission and terminal operation and prevent unauthorized access and data leakage.

[0016] Preferably, the dual-receiving end communication protocol adopts time division multiplexing or frequency division multiplexing technology to ensure the integrity and synchronization of data during transmission;

[0017] The intelligent communication module also has adaptive modulation and coding functions, dynamically adjusting the transmission rate and coding method according to the quality of the communication link to optimize data transmission efficiency and reliability. The adaptive modulation algorithm is as follows: Among them, R t represents the optimal transmission rate at the current moment, C(R) and P(R) represent the channel capacity and transmission power at the transmission rate R respectively;

[0018] The intelligent communication module supports multiple communication protocols and frequency bands, including but not limited to narrowband Internet of Things (NB-IoT), LoRa, Zigbee and 5G low-power wide area network (LPWAN), to meet the needs of different application scenarios.

[0019] Preferably, the data processing and analysis module adopts the following load forecasting model: Among them, L t+1 represents the predicted future load, α and β are weight coefficients, and f i represents the characteristic function, w i represents the weight of the feature function, and n is the number of feature functions.

[0020] Preferably, the intelligent communication module further comprises a link quality monitoring unit and a multi-path transmission strategy unit, wherein;

[0021] The link quality monitoring unit is used to continuously monitor the key indicators of signal strength, bit error rate and delay of the communication link, and provide real-time feedback for adaptive modulation and coding;

[0022] The multi-path transmission strategy unit is used to automatically enable a backup path or use multi-path parallel transmission when the communication link quality is poor, so as to improve the reliability and stability of data transmission. The multi-path selection algorithm is as follows: Among them, P best represents the optimal transmission path, BER(P), Delay(P) and Bandwidth(P) represent the bit error rate, delay and bandwidth of path P respectively, and M is the total number of transmission paths.

[0023] Preferably, the data processing and analysis module also includes an anomaly detection module and a model training module, wherein the anomaly detection module is used to automatically identify abnormal conditions in the distribution network, including voltage fluctuations and current overloads, based on comparative analysis of historical data and real-time data, and the model training module is used to train a machine learning model using historical data to predict future load trends and equipment life, and continuously optimize the model to improve prediction accuracy.

[0024] Preferably, the remote control execution module has an automatic recovery mechanism, and after detecting a device failure or abnormal state, automatically performs a recovery operation according to a preset strategy, and the recovery operation includes restarting the device and adjusting operating parameters.

[0025] Preferably, the security protection module also includes a hardware-level security module, which is integrated into the automated IoT terminal to provide hardware-level encryption and decryption services to enhance the security of data transmission and storage.

[0026] Preferably, the distribution network automation IoT terminal further includes an environmental adaptability module, which integrates a variety of sensors for monitoring the physical parameters of temperature, humidity and light in the environment where the terminal is located.

[0027] Preferably, the fault warning modes of the data processing and analysis module include fault light warning, buzzer warning and text message warning.

[0028] Technical effects and advantages of the present invention:

[0029] 1. By integrating the data acquisition module and the intelligent communication module, the function of real-time collection of power parameter data from multiple monitoring points in the distribution network is realized, and the dual-receiver communication protocol is adopted to ensure that a single transmitter can send data to two independent receivers at the same time, which not only improves the efficiency and accuracy of data acquisition, but also optimizes the efficiency and reliability of data transmission through the adaptive modulation and coding function of the intelligent communication module and the support of multiple communication protocols and frequency bands, realizes real-time monitoring and remote control of the distribution network status, and improves the operating efficiency and safety of the power system;

[0030] 2. The data processing and analysis module of the present invention integrates machine learning algorithms and big data analysis technology, and can perform preprocessing, feature extraction, pattern recognition and fault diagnosis on the collected data. Through the load prediction model and anomaly detection module, the terminal can accurately predict future load trends and automatically identify abnormal conditions in the distribution network, such as voltage fluctuations and current overloads. It not only helps to formulate operation and maintenance strategies in advance and reduce the occurrence of faults, but also can improve prediction accuracy by continuously optimizing the machine learning model, providing strong support for the stable operation of the power system;

[0031] 3. The present invention performs well in security protection and integrates functions such as encrypted communication, access control and intrusion detection to ensure the security of data transmission and terminal operation. In addition, the security of data transmission and storage is further enhanced by the addition of a hardware-level security module. At the same time, the terminal also has an environmental adaptability module that can monitor physical parameters such as temperature, humidity and light in the terminal's environment to ensure continuous and stable operation in complex environments. This not only improves the security and reliability of the terminal, but also provides the possibility for its wide application in different application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is the overall system framework diagram of the present invention.

[0033] Figure 2 It is a module diagram of the intelligent communication module of the present invention.

[0034] Figure 3 It is a module diagram of the data processing and analysis module of the present invention.

[0035] Figure 4 It is a module diagram of the safety protection module of the present invention.

[0036] The accompanying drawings are marked as follows: 1. Data acquisition module; 2. Intelligent communication module; 3. Data processing and analysis module; 4. Remote control execution module; 5. Energy management module; 6. Security protection module; 7. Link quality monitoring unit; 8. Multi-path transmission strategy unit; 9. Anomaly detection module; 10. Model training module; 11. Hardware-level security module; 12. Environmental adaptability module. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] As attached Figure 1-4 As shown, the present invention provides a one-transmitter and two-receiver distribution network automation IoT terminal, which integrates a data acquisition module 1, an intelligent communication module 2, a data processing and analysis module 3, a remote control execution module 4, an energy management module 5, a safety protection module 6 and an environmental adaptability module 12. The modules communicate with each other through an internal bus or a network interface, and work together to realize various functions of the terminal, so as to achieve intelligent and automatic monitoring and management of the distribution network. The following is a detailed description of a specific implementation method of the present invention:

[0039] The data acquisition module 1 is configured to collect power parameter data in real time from multiple monitoring points in the distribution network, including but not limited to voltage, current, power factor, frequency and harmonic content.

[0040] Specifically, the data acquisition module 1 is responsible for collecting real-time power parameter data from multiple monitoring points in the distribution network, including but not limited to voltage, current, power factor, frequency and harmonic content. These data are collected through high-precision sensors and preliminarily processed and calibrated through the internal data processing unit to ensure the accuracy and reliability of the data.

[0041] Intelligent communication module 2 adopts a dual-receiver communication protocol to enable a single transmitter to send data to two independent receivers at the same time. The dual-receiver communication protocol adopts time division multiplexing or frequency division multiplexing technology to ensure the integrity and synchronization of data during transmission. Intelligent communication module 2 also has adaptive modulation and coding functions, dynamically adjusting the transmission rate and coding method according to the quality of the communication link to optimize data transmission efficiency and reliability. The adaptive modulation algorithm is as follows: Among them, R trepresents the optimal transmission rate at the current moment, C(R) and P(R) represent the channel capacity and transmission power at the transmission rate R, respectively; the intelligent communication module 2 supports multiple communication protocols and frequency bands, including but not limited to narrowband Internet of Things (NB-IoT), LoRa, Zigbee and 5G low power wide area network (LPWAN), to meet the needs of different application scenarios.

[0042] Specifically, the intelligent communication module 2 adopts a dual-receiving end communication protocol, so that a single transmitter can send data to two independent receivers at the same time. The module adopts time division multiplexing or frequency division multiplexing technology to ensure the integrity and synchronization of data during transmission. In addition, the intelligent communication module 2 also has adaptive modulation and coding functions, which can dynamically adjust the transmission rate and coding method according to the quality of the communication link to optimize data transmission efficiency and reliability. The module supports multiple communication protocols and frequency bands, including narrowband Internet of Things (NB-IoT), LoRa, Zigbee and 5G low-power wide area network (LPWAN), etc., to meet the needs of different application scenarios.

[0043] The intelligent communication module 2 also includes a link quality monitoring unit 7 and a multipath transmission strategy unit 8, wherein the link quality monitoring unit 7 is used to continuously monitor the key indicators of signal strength, bit error rate and delay of the communication link, and provide real-time feedback for adaptive modulation and coding;

[0044] The multi-path transmission strategy unit 8 is used to automatically enable a backup path or use multi-path parallel transmission when the communication link quality is poor, so as to improve the reliability and stability of data transmission. The multi-path selection algorithm is as follows: Among them, P best represents the optimal transmission path, BER(P), Delay(P) and Bandwidth(P) represent the bit error rate, delay and bandwidth of path P respectively, and M is the total number of transmission paths.

[0045] Specifically, the intelligent communication module 2 can significantly improve the reliability and stability of data transmission by continuously monitoring the link quality and implementing a multi-path transmission strategy. This adaptive and redundant transmission method is particularly suitable for application scenarios that have strict requirements on data transmission quality.

[0046] Data processing and analysis module 3 integrates machine learning algorithms and big data analysis to preprocess, extract features, identify patterns, and diagnose faults on the collected data, so as to provide real-time distribution network status monitoring, load forecasting, and fault warning. Fault warning methods include fault light warning, buzzer warning, and SMS warning. The following load forecasting model is used: Among them, L t+1 represents the predicted future load, α and β are weight coefficients, and fi represents the characteristic function, w i represents the weight of the characteristic function, and n is the number of characteristic functions; the data processing and analysis module 3 also includes an anomaly detection module 9 and a model training module 10, wherein the anomaly detection module 9 is used to automatically identify abnormal conditions in the distribution network, including voltage fluctuations and current overloads, based on comparative analysis of historical data and real-time data; the model training module 10 is used to train a machine learning model using historical data, predict future load trends and equipment life, and continuously optimize the model to improve prediction accuracy.

[0047] Specifically, the data processing and analysis module 3 integrates machine learning algorithms and big data analysis technology to preprocess, extract features, recognize patterns and diagnose faults in the collected data. The module adopts a load forecasting model to predict future load trends through comparative analysis of historical data and real-time data. At the same time, the module also includes an anomaly detection module 9 and a model training module 10, which can automatically identify abnormal conditions in the distribution network and continuously optimize the machine learning model to improve the prediction accuracy. When an abnormal condition or equipment failure is detected in the distribution network, the module will automatically trigger the corresponding early warning method to remind the operation and maintenance personnel to take timely measures to deal with it.

[0048] The remote control execution module 4 is used to automatically or manually trigger remote control instructions for equipment in the distribution network based on the output results of the advanced data processing and analysis engine. The remote control instructions include switch operations and parameter adjustments to achieve remote operation and maintenance and rapid response to faults. The remote control execution module 4 has an automatic recovery mechanism. After detecting equipment failure or abnormal status, it automatically executes recovery operations according to preset strategies. Recovery operations include restarting the equipment and adjusting operating parameters.

[0049] Specifically, the remote control execution module 4 automatically or manually triggers remote control instructions for equipment in the distribution network based on the output results of the advanced data processing and analysis engine. These instructions include switch operations and parameter adjustments, etc., which are used to achieve remote operation and maintenance and rapid response to faults. The module also has an automatic recovery mechanism. After detecting equipment failure or abnormal status, it can automatically perform recovery operations according to preset strategies, such as restarting the equipment and adjusting operating parameters.

[0050] The energy management module 5 is used to optimize the energy usage of the terminal, including the integration and scheduling of renewable energy such as solar energy or wind energy, and low power consumption design to ensure the continuous and stable operation of the terminal in a complex environment.

[0051] Specifically, the energy management module 5 is used to optimize the energy usage of the terminal, including the integration and scheduling of renewable energy such as solar energy or wind energy, and low power consumption design. The module can monitor the energy consumption of the terminal in real time, and distribute and schedule energy according to actual conditions to ensure that the terminal continues to operate stably in a complex environment.

[0052] The security protection module 6 integrates encrypted communication, access control and intrusion detection to ensure the security of data transmission and terminal operation and prevent unauthorized access and data leakage; the security protection module 6 also includes a hardware-level security module 11, which is integrated inside the automated IoT terminal to provide hardware-level encryption and decryption services to enhance the security of data transmission and storage.

[0053] Specifically, the security protection module 6 integrates technologies such as encrypted communication, access control and intrusion detection to ensure the security of data transmission and terminal operation. The module also includes a hardware-level security module 11, which is integrated inside the terminal to provide hardware-level encryption and decryption services to further enhance the security of data transmission and storage.

[0054] The distribution network automation IoT terminal also includes an environmental adaptability module 12 , which integrates a variety of sensors for monitoring the physical parameters of the temperature, humidity and light of the environment in which the terminal is located.

[0055] Specifically, the environmental adaptability module 12 integrates a variety of sensors for monitoring physical parameters such as temperature, humidity and light of the terminal environment. The module can automatically adjust the terminal's operating mode and parameter settings according to environmental changes to ensure the stability and reliability of the terminal under different environmental conditions.

[0056] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A one-transmitter and two-receiver distribution network automation IoT terminal, characterized by: It comprises a data acquisition module (1), an intelligent communication module (2), a data processing and analysis module (3), a remote control execution module (4), an energy management module (5) and a safety protection module (6); The data acquisition module (1) is configured to collect power parameter data in real time from multiple monitoring points in the power distribution network, including but not limited to voltage, current, power factor, frequency and harmonic content; The intelligent communication module (2) adopts a dual-receiving end communication protocol so that a single sending end can send data to two independent receiving ends simultaneously; The data processing and analysis module (3) integrates machine learning algorithms and big data analysis to perform preprocessing, feature extraction, pattern recognition and fault diagnosis on the collected data, so as to provide real-time distribution network status monitoring, load forecasting and fault warning; The remote control execution module (4) is used to automatically or manually trigger remote control instructions for equipment in the distribution network according to the output results of the advanced data processing and analysis engine, and the remote control instructions include switch operation and parameter adjustment, so as to realize remote operation and maintenance and rapid response to faults; The energy management module (5) is used to optimize the energy use of the terminal, including the integration and scheduling of renewable energy such as solar energy or wind energy, and low power consumption design, to ensure that the terminal can operate continuously and stably in a complex environment; The security protection module (6) integrates encrypted communication, access control and intrusion detection to ensure the security of data transmission and terminal operation and prevent unauthorized access and data leakage.

2. The one-transmit-two-receive distribution network automation IoT terminal according to claim 1, characterized in that: The dual-receiver communication protocol adopts time division multiplexing or frequency division multiplexing technology to ensure the integrity and synchronization of data during transmission; The intelligent communication module (2) also has adaptive modulation and coding functions, dynamically adjusting the transmission rate and coding method according to the quality of the communication link to optimize the data transmission efficiency and reliability. The adaptive modulation algorithm is as follows: Among them, R t represents the optimal transmission rate at the current moment, C(R) and P(R) represent the channel capacity and transmission power at the transmission rate R respectively; The intelligent communication module (2) supports a variety of communication protocols and frequency bands, including but not limited to narrowband Internet of Things (NB-IoT), LoRa, Zigbee and 5G low-power wide area network (LPWAN), so as to meet the needs of different application scenarios.

3. The one-transmit-two-receive distribution network automation IoT terminal according to claim 1 is characterized in that: The data processing and analysis module (3) adopts the following load forecasting model: Among them, L t+1 represents the predicted future load, α and β are weight coefficients, and f i represents the characteristic function, w i represents the weight of the feature function, and n is the number of feature functions.

4. The one-transmit-two-receive distribution network automation IoT terminal according to claim 1, characterized in that: The intelligent communication module (2) further comprises a link quality monitoring unit (7) and a multi-path transmission strategy unit (8), wherein; The link quality monitoring unit (7) is used to continuously monitor the key indicators of signal strength, bit error rate and delay of the communication link, and provide real-time feedback for adaptive modulation and coding; The multi-path transmission strategy unit (8) is used to automatically enable a backup path or use multi-path parallel transmission when the communication link quality is poor, so as to improve the reliability and stability of data transmission. The multi-path selection algorithm is as follows: Among them, P best represents the optimal transmission path, BER(P), Delay(P) and Bandwidth(P) represent the bit error rate, delay and bandwidth of path P respectively, and M is the total number of transmission paths.

5. The one-transmit-two-receive distribution network automation IoT terminal according to claim 1, characterized in that: The data processing and analysis module (3) further comprises an anomaly detection module (9) and a model training module (10), wherein the anomaly detection module (9) is used to automatically identify abnormal conditions in the distribution network, including voltage fluctuations and current overloads, based on comparative analysis of historical data and real-time data, and the model training module (10) is used to train a machine learning model using historical data to predict future load trends and equipment life, and continuously optimize the model to improve prediction accuracy.

6. The one-transmit-two-receive distribution network automation IoT terminal according to claim 1, characterized in that: The remote control execution module (4) has an automatic recovery mechanism, and after detecting a device failure or abnormal state, automatically performs a recovery operation according to a preset strategy, wherein the recovery operation includes restarting the device and adjusting operating parameters.

7. The one-transmit-two-receive distribution network automation IoT terminal according to claim 1, characterized in that: The security protection module (6) further comprises a hardware-level security module (11), wherein the hardware-level security module (11) is integrated inside the automated IoT terminal, provides hardware-level encryption and decryption services, and enhances the security of data transmission and storage.

8. The one-transmit-two-receive distribution network automation IoT terminal according to claim 1, characterized in that: The distribution network automation IoT terminal also includes an environmental adaptability module (12), wherein the environmental adaptability module (12) integrates a variety of sensors for monitoring the physical parameters of temperature, humidity and light in the environment where the terminal is located.

9. The one-transmit-two-receive distribution network automation IoT terminal according to claim 1, characterized in that: The fault warning modes of the data processing and analysis module (3) include fault light warning, buzzer warning and text message warning.

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