Electric energy metering SOC chip and communication method

Abstract

The invention provides an electric energy metering SOC chip and a communication method, and relates to the technical field of communication, the system comprises a group of communication modules, a dynamic frequency planning module and an intelligent communication scheduling module, the dynamic frequency planning module is used for detecting the working state of each communication module in the group of communication modules to obtain a detection result; the dynamic frequency planning module is also used for automatically adjusting the transmitting power and the working frequency of each communication module in the group of communication modules according to the detection result; the intelligent communication scheduling module is electrically connected with each communication module in the group of communication modules, and the intelligent communication scheduling module is used for selecting a target communication module from the group of communication modules according to the type of the current task and dynamically allocating communication resources for the target communication module so as to transmit data corresponding to the current task. By implementing the technical scheme provided by the invention, the communication reliability and stability are improved.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to an electric energy metering SOC chip and a communication method. Background Art

[0002] With the rapid development of the power Internet of Things, the demand for high-precision energy metering and diversified wireless communications is increasing. Existing energy metering equipment has begun to integrate multiple communication technologies to adapt to data transmission requirements in different scenarios. The energy metering SOC chips in related technologies generally integrate a single or a few two communication modules, lacking the ability to support multiple wireless communication standards at the same time; and when trying to integrate more communication modules to meet the needs of complex network environments, conflicts among various communication technologies in frequency band allocation, signal strength adjustment, and communication protocol matching have led to serious signal interference problems, affecting the accuracy and communication reliability of energy metering instruments. Summary of the invention

[0003] In order to solve the above technical problems, the present application provides an electric energy metering SOC chip and a communication method.

[0004] In the first aspect, the present application provides an electric energy metering SOC chip, comprising: a group of communication modules, a dynamic frequency planning module and an intelligent communication scheduling module, wherein the dynamic frequency planning module is electrically connected to each communication module in the group of communication modules, and the dynamic frequency planning module is used to detect the working status of each communication module in the group of communication modules to obtain the detection result, wherein the group of communication modules supports multiple wireless communication standards; the dynamic frequency planning module is also used to automatically adjust the transmission power and operating frequency of each communication module in the group of communication modules according to the detection result; the intelligent communication scheduling module is electrically connected to each communication module in the group of communication modules, and the intelligent communication scheduling module is used to select a target communication module from a group of communication modules according to the type of the current task, and dynamically allocate communication resources to the target communication module to transmit data corresponding to the current task.

[0005] By adopting the above technical solution and integrating a group of communication modules, a variety of wireless communication standards are supported to meet the diverse communication needs in different application scenarios, thereby improving the flexibility and applicability of the system. The dynamic frequency planning module detects the working status of each communication module and automatically adjusts the transmission power and operating frequency of each module according to the detection results, thereby effectively avoiding signal interference between multiple communication modules and improving communication reliability and stability. The intelligent communication scheduling module selects the optimal target communication module according to the type of current task and dynamically allocates communication resources to it, thereby ensuring the high efficiency and accuracy of data transmission and improving system resource utilization and communication efficiency.

[0006] Optionally, the electric energy metering SOC chip also includes: a signal quality monitoring module, wherein the signal quality monitoring module is used to obtain a set of communication index parameters of each communication module to monitor the communication link quality of each communication module, and a set of communication index parameters at least includes a signal-to-noise ratio parameter, a received signal strength indication parameter and a packet loss rate; the signal quality monitoring module is also used to start adaptive anti-interference measures when an interference signal is detected, wherein the adaptive anti-interference measures include frequency adjustment, transmission power adjustment, retransmission mechanism, and channel hopping.

[0007] By adopting the above technical solution, the signal quality monitoring module can obtain the communication index parameters of each communication module in real time, such as signal-to-noise ratio parameters, received signal strength indicator parameters and packet loss rate, so as to effectively monitor the quality of the communication link. When an interference signal is detected, the signal quality monitoring module will start adaptive anti-interference measures, including frequency adjustment, transmission power adjustment, retransmission mechanism and channel hopping, which can significantly reduce signal interference and improve the stability and reliability of communication.

[0008] Optionally, the dynamic frequency planning module obtains the detection result according to a preset period, and uses a preset algorithm model to configure the working parameters of each communication module according to the detection result, so that each communication module in a group of communication modules does not interfere with each other.

[0009] By adopting the above technical solution, the dynamic frequency planning module can regularly detect the working status of each communication module and use the preset algorithm model to optimize the working parameters of these modules. This not only ensures that there is no mutual interference between the various communication modules, improves the stability and reliability of the communication system, but also improves the performance of the overall power metering SOC chip, enabling it to maintain efficient operation in a complex and changing network environment.

[0010] Optionally, the intelligent communication scheduling module includes an AI prediction engine, wherein the AI ​​prediction engine is used to predict the communication load of the electric energy metering SOC chip in the future. The intelligent communication scheduling module is also used to transmit the first type of data during off-peak periods and the second type of data during peak periods based on the communication load prediction results.

[0011] By adopting the above technical solutions, the AI ​​prediction engine can predict the communication load in the future, so as to optimize the configuration of communication resources in advance; transmit the first type of data (such as non-real-time data) during the off-peak period, reduce the communication pressure during the peak period, and improve the stability and response speed of the overall system; transmit the second type of data (such as real-time data) during the peak period, ensuring the timely transmission of key data, improving user experience and system performance. By predicting the communication load and scheduling it intelligently, the load of different communication modules can be effectively managed to avoid data congestion during peak periods. By transmitting different types of data in different time periods, the priority and timing of data transmission can be optimized, and the efficiency and reliability of data transmission can be improved.

[0012] Optionally, the AI ​​prediction engine builds a machine learning model by regularly collecting historical communication records and seasonal power consumption trend data, and uses the machine learning model to predict communication load conditions.

[0013] By adopting the above technical solutions, the AI ​​prediction engine can regularly collect historical communication records and seasonal power consumption trend data, build a machine learning model, and use the model to predict the communication load in the future. This enables the energy metering SOC chip to transmit the first type of data during off-peak periods and the second type of data during peak periods, thereby optimizing the use efficiency of communication resources and improving the overall performance and stability of the system.

[0014] Optionally, the electric energy metering SOC chip further includes an antenna, which is respectively connected to each communication module in a group of communication modules, wherein the antenna is arranged in a manner of physically separating different frequency bands.

[0015] By adopting the above technical solution and physically separating the antenna layouts of different frequency bands, the interference between different frequency bands can be significantly reduced and the communication quality can be improved. Each communication module has an independent antenna, which can communicate more efficiently, avoid resource competition, reduce frequency band interference and improve communication efficiency, enhance the stability and reliability of the system, and improve the user experience.

[0016] Optionally, a group of communication modules includes at least two of the following: a Bluetooth low energy BLE communication module, a WiFi communication module, a radio frequency RF communication module, a high-speed power line carrier HPLC communication module and an LTE Cat1 communication module.

[0017] By adopting the above technical solution, the energy metering SOC chip can support multiple wireless communication standards, including but not limited to Bluetooth low energy BLE, WiFi, radio frequency RF, high-speed power line carrier HPLC and LTE Cat1 communication modules. The combination of these communication modules enables the energy metering SOC chip to flexibly select the most appropriate communication method in different application scenarios, thereby improving the reliability and flexibility of communication.

[0018] In the second aspect of the present application, a communication method for an electric energy metering SOC chip is also provided, which is applied to the aforementioned electric energy metering SOC chip, including: a dynamic frequency planning module detects the working status of each communication module in a group of communication modules to obtain a detection result; the dynamic frequency planning module adjusts the transmission power and working frequency of each communication module in a group of communication modules according to the detection result; the intelligent communication scheduling module selects a target communication module from a group of communication modules according to the type of the current task, and dynamically allocates communication resources to the target communication module to transmit data corresponding to the current task.

[0019] By adopting the above technical solutions, the dynamic frequency planning module can monitor the working status of each communication module in real time, and automatically adjust the transmission power and working frequency of each communication module according to the detection results, effectively avoiding signal interference between multiple communication modules and improving the communication reliability and accuracy of the energy metering SOC chip. The intelligent communication scheduling module selects the optimal communication module according to the type of different tasks and dynamically allocates communication resources to it, ensuring the efficient transmission of different types of data and improving the overall performance and response speed of the system.

[0020] Optionally, the intelligent communication scheduling module selects a target communication module from a group of communication modules according to the task type of the current task, including: pre-establishing a matching relationship between different task types and communication module types; and upon receiving the current task, selecting a target communication module that matches the task type of the current task from the matching relationship.

[0021] By adopting the above technical solution, a matching relationship between different task types and communication module types is established in advance to ensure that each task type can correspond to the most suitable communication module, avoiding data transmission delays or failures caused by improper selection of communication modules; when receiving the current task, the intelligent communication scheduling module selects the target communication module that matches the current task type from the matching relationship, realizes accurate allocation of communication resources, and improves the response speed and processing capability of the system.

[0022] Optionally, the electric energy metering SOC chip also includes: a signal quality monitoring module, wherein the signal quality monitoring module is used to obtain a set of communication index parameters of each communication module to monitor the communication link quality of each communication module, and a set of communication index parameters at least includes a signal-to-noise ratio parameter, a received signal strength indication parameter and a packet loss rate; the above method also includes: when an interference signal is detected, the signal quality monitoring module starts adaptive anti-interference measures, wherein the adaptive anti-interference measures include frequency adjustment, transmission power adjustment, retransmission mechanism, and channel hopping.

[0023] By adopting the above technical solution, the signal quality monitoring module can obtain the communication index parameters of each communication module in real time, such as signal-to-noise ratio, received signal strength indicator and packet loss rate, so as to effectively monitor the communication link quality of each communication module. When an interference signal is detected, the signal quality monitoring module will immediately start adaptive anti-interference measures, including frequency adjustment, transmission power adjustment, retransmission mechanism and channel hopping, which significantly improves the stability and reliability of the communication system and reduces the impact of signal interference on the accuracy of electric energy metering.

[0024] In a third aspect of the present application, an electronic device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the program, any of the above method steps is implemented.

[0025] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any of the above method steps is performed.

[0026] In summary, one or more technical solutions provided in this application have at least the following technical effects or advantages: 1. The dynamic frequency planning module detects the working status of each communication module and automatically adjusts the transmission power and working frequency of each module according to the detection results, effectively avoiding signal interference between multiple communication modules and improving communication reliability and stability; the intelligent communication scheduling module selects the optimal target communication module according to the type of current task and dynamically allocates communication resources to it to ensure the efficiency and accuracy of data transmission; 2. When an interference signal is detected, the signal quality monitoring module will initiate adaptive anti-interference measures, which can significantly reduce signal interference and improve the stability and reliability of communication; 3. By predicting the communication load and scheduling it intelligently, the load of different communication modules can be effectively managed, data congestion can be avoided during peak hours, and the efficiency and reliability of data transmission can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a structural framework of an electric energy metering SOC chip provided in an embodiment of the present application Figure 1 ; Figure 2 This is a structural framework of an electric energy metering SOC chip provided in an embodiment of the present application Figure 2 ; Figure 3 It is a flow chart of a communication control method of an electric energy metering SOC chip provided in an embodiment of the present application; Figure 4 It is a schematic diagram of a multifunctional communication electric energy metering SOC chip provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0029] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0030] In the description of the embodiments of the present application, the term "plurality" means two or more. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0031] The following is combined with Figure 1-Figure 4 The embodiments of the present application are described.

[0032] This application provides an energy metering SOC chip, referring to Figure 1 , Figure 1 This is a structural framework of an electric energy metering SOC chip provided in an embodiment of the present application Figure 1 The system includes: a group of communication modules, a dynamic frequency planning module and an intelligent communication scheduling module, wherein: The dynamic frequency planning module is electrically connected to each communication module in a group of communication modules, and is used to detect the working state of each communication module in the group of communication modules to obtain a detection result, wherein the group of communication modules supports multiple wireless communication standards; the dynamic frequency planning module is also used to automatically adjust the transmission power and working frequency of each communication module in the group of communication modules according to the detection result; The intelligent communication scheduling module is electrically connected to each communication module in a group of communication modules respectively. The intelligent communication scheduling module is used to select a target communication module from a group of communication modules according to the type of the current task, and dynamically allocate communication resources to the target communication module to transmit data corresponding to the current task.

[0033] In the above embodiment, by integrating a group of communication modules, multiple wireless communication standards are supported to meet the diversified communication needs in different application scenarios, thereby improving the flexibility and scope of application of the system; the dynamic frequency planning module detects the working status of each communication module and automatically adjusts the transmission power and working frequency of each module according to the detection results, effectively avoiding signal interference between multiple communication modules and improving communication reliability and stability; the intelligent communication scheduling module selects the optimal target communication module according to the type of current task and dynamically allocates communication resources to it, ensuring the efficiency and accuracy of data transmission, and improving system resource utilization and communication efficiency. The energy metering SOC chip communicates with external devices through a group of communication modules.

[0034] The dynamic frequency planning module is responsible for detecting the working status of the communication module and automatically adjusting the transmission power and operating frequency of the communication module according to the detection results, which helps to resolve conflicts in frequency band allocation and signal strength adjustment. The intelligent communication scheduling module selects the target communication module according to the type of current task and dynamically allocates communication resources to it, which helps to optimize the utilization of communication resources and improve communication efficiency. By reducing signal interference and optimizing the utilization of communication resources, the energy metering SOC chip can improve communication performance and accuracy to meet the needs of high-precision energy metering.

[0035] The SOC chip in this embodiment automatically adjusts the transmission power and operating frequency of each communication module through the dynamic frequency planning module, which can effectively reduce the signal interference caused by frequency band overlap and improve the communication quality. The intelligent communication scheduling module can flexibly select the most suitable communication mode according to the characteristics of different tasks, and reasonably allocate communication resources, thereby improving the overall efficiency of the system. It not only solves the interference problem in multi-mode communication, but also realizes efficient use of resources through intelligent scheduling, thereby improving the performance of the entire system.

[0036] The dynamic frequency planning module focuses on the basic working status of each communication module, such as whether data is being sent or received, the current working frequency, etc. According to the detected working status, the dynamic frequency planning module automatically adjusts the transmission power and working frequency of each communication module to avoid interference between different communication modules. During the system initialization phase and daily operation, the dynamic frequency planning module will perform preliminary frequency allocation and power adjustment to ensure that each communication module works normally without obvious interference; the main purpose is to prevent multiple communication modules from working simultaneously in the same frequency band, thereby reducing internal interference. The working status includes whether each communication module is currently in standby or connected state, data transmission state or power consumption state, etc.

[0037] The above-mentioned group of communication modules may include any combination of two or more of a Bluetooth low energy BLE communication module, a WiFi communication module, a radio frequency RF communication module, a high-speed power line carrier HPLC communication module and an LTE Cat1 communication module. As for how to detect the working status of each communication module in real time and automatically adjust the transmission power and working frequency, at the hardware level: the SOC chip has a built-in dedicated RF front-end circuit that can monitor the signal strength and quality of different frequency bands. These front-end circuits are closely connected to each communication module and can capture the signal emitted by each module and the electromagnetic noise of the surrounding environment; software level: a dedicated monitoring program runs inside the chip, which can periodically (for example, once per second) read information from the RF front-end circuit, including but not limited to the received signal strength, signal-to-noise ratio, bit error rate, etc., to determine the current communication status and electromagnetic environment. When the monitoring program detects that there is strong interference or signal quality degradation in a certain frequency band, it will trigger an optimization process. This process will first try to reduce the transmission power of the communication module working on the frequency band to reduce potential interference to other frequency bands; if the communication quality still cannot be improved after reducing the power, it will consider adjusting the working frequency of the module to another cleaner frequency band. For example, in a typical residential environment, the Wi-Fi network usually operates in the 2.4GHz band. If the band is detected to be severely interfered with, the SOC chip may switch the Wi-Fi module to the 5GHz band and appropriately increase the transmission power of the BLE module to compensate for the weakening of local signal coverage caused by the change in the Wi-Fi module frequency. For example, the operating frequency of the BLE communication module can be adjusted from 2.4 GHz to 2.48 GHz, and the operating frequency of the RF communication module can be adjusted from 433 MHz to 868 MHz.

[0038] The intelligent communication scheduling unit will decide which tasks should use which communication technology first according to the current task type (such as data upload, remote control command execution, etc.) and the characteristics of each communication technology (such as bandwidth, latency, etc.). For example, when a large amount of data needs to be transmitted quickly, the system will choose Wi-Fi or HPLC technology with higher bandwidth; while when performing operations with low bandwidth requirements such as device status query, BLE technology with lower power consumption can be used. Dynamic adjustment example: Assume that at a certain moment, the user requests to view the status of all smart appliances in the home, which involves a large number of small data packet exchanges. The intelligent communication scheduling unit will first quickly complete the connection establishment with each device through BLE technology, and then use Wi-Fi technology for efficient data transmission. In addition, when the power is low at night, the scheduling unit may choose to suspend non-essential data synchronization operations and instead concentrate resources to ensure the normal operation of key services (such as security alarm systems). The data transmitted between the power metering SOC chip and external devices may include power data, event record information, status information, configuration parameters, and security information.

[0039] In an optional embodiment, the electric energy metering SOC chip also includes: a signal quality monitoring module, wherein the signal quality monitoring module is used to obtain a set of communication index parameters of each communication module to monitor the communication link quality of each communication module, and the set of communication index parameters at least includes a signal-to-noise ratio parameter, a received signal strength indication parameter and a packet loss rate; the signal quality monitoring module is also used to start adaptive anti-interference measures when an interference signal is detected, wherein the adaptive anti-interference measures include frequency adjustment, transmission power adjustment, retransmission mechanism, and channel hopping.

[0040] In the above embodiment, the signal quality monitoring module can obtain the communication index parameters of each communication module in real time, such as the signal-to-noise ratio parameter, the received signal strength indicator parameter and the packet loss rate, so as to effectively monitor the quality of the communication link. When an interference signal is detected, the signal quality monitoring module will start adaptive anti-interference measures, including frequency adjustment, transmission power adjustment, retransmission mechanism and channel hopping, which can significantly reduce signal interference and improve the stability and reliability of communication.

[0041] Existing power metering SOC chips usually lack real-time monitoring of the quality of the communication link, which may lead to the degradation of communication quality in a harsh electromagnetic environment without being discovered in time. The power metering SOC chip of this embodiment also includes a signal quality monitoring module, such as Figure 2As shown, the signal quality monitoring module can monitor the quality of the communication link in real time to ensure the stability and reliability of communication. In a complex electromagnetic environment, various interference sources may cause communication interruption or data loss. The signal quality monitoring module can start adaptive anti-interference measures when an interference signal is detected, and reduce the impact of interference by adjusting the frequency, transmission power, retransmission mechanism and channel hopping to ensure normal communication. By real-time monitoring of the quality of the communication link and adaptive anti-interference measures, the SOC chip can significantly improve the reliability and stability of communication, especially in a complex and changeable electromagnetic environment. The data provided by the signal quality monitoring module can be used by other modules to further optimize communication parameters and resource allocation, and improve the performance of the entire system.

[0042] In practical applications, there can be a collaborative relationship between the signal quality monitoring module and the dynamic frequency planning module and the intelligent communication scheduling module. For example, when the signal quality monitoring module detects that the quality of the communication link has decreased, it can notify the dynamic frequency planning module to adjust the working frequency or transmission power of the communication module, or notify the intelligent communication scheduling module to switch the communication module or adjust the communication resources. The dynamic frequency planning module aims to optimize the overall performance of the communication module and avoid frequency band conflicts, while the signal quality monitoring module aims to ensure the stability and reliability of the communication link and respond to specific interference problems by launching adaptive anti-interference measures. The signal quality monitoring module focuses on monitoring the communication link quality of each communication module, including key indicators such as signal-to-noise ratio (SNR), received signal strength indication (RSSI) and packet loss rate. When an external interference signal is detected, the signal quality monitoring module will initiate a series of adaptive anti-interference measures, including frequency adjustment, transmission power adjustment, retransmission mechanism and channel hopping. During the operation of the system, the signal quality monitoring module will continuously monitor the quality of the communication link to ensure that high-quality communication can be maintained under any circumstances. The main purpose is to detect and respond to external interference signals to ensure the stability and reliability of communication.

[0043] In an optional embodiment, the dynamic frequency planning module obtains detection results according to a preset period, and uses a preset algorithm model to configure the working parameters of each communication module according to the detection results, so that the communication modules in a group of communication modules do not interfere with each other.

[0044] In the above embodiment, the dynamic frequency planning module can periodically detect the working status of each communication module, and use the preset algorithm model to optimize the configuration of the working parameters of these modules. This not only ensures that there is no mutual interference between the various communication modules, improves the stability and reliability of the communication system, but also improves the performance of the overall power metering SOC chip, enabling it to maintain efficient operation in a complex and changeable network environment. Specifically: the dynamic frequency planning module obtains the detection results according to the preset period, ensuring real-time monitoring of the state changes of the communication module; based on the detection results, the preset algorithm model is used to optimize the configuration of the working parameters of the communication module, avoiding errors and delays caused by manual adjustments; by accurately configuring the working parameters of each communication module, it is ensured that multiple communication modules work together in the same system without interfering with each other, thereby improving communication efficiency and stability.

[0045] Through the configuration of the dynamic frequency planning module and the preset algorithm model, it can be ensured that each communication module works stably without interfering with each other, thereby improving the stability of communication. Since the communication modules do not interfere with each other, communication resources can be used more effectively, and the efficiency and throughput of communication can be improved. This embodiment enhances the adaptability and stability of the electric energy metering SOC chip in a complex communication environment, thereby improving the reliability of the entire system. By obtaining the detection results through a preset period, it can be ensured that the system can promptly detect and deal with potential interference problems. By using a preset algorithm model to configure the working parameters of the communication module, intelligent parameter adjustment can be achieved, and the adaptability and flexibility of the system can be improved. Through the periodic detection and configuration of the dynamic frequency planning module, it is ensured that the communication modules do not interfere with each other, thereby improving the overall performance and reliability of the system.

[0046] For example, when the detection result of the Bluetooth low energy BLE communication module is: currently working in the 2.4GHz frequency band, the detected signal-to-noise ratio (SNR) is low, the received signal strength indication (RSSI) is -70dBm, and there is slight interference. At this time, the configuration adjustment may include: frequency adjustment, adjusting the operating frequency of the BLE communication module to the 2.48GHz frequency band to avoid the current interference frequency band; transmission power adjustment, appropriately increasing the transmission power of the BLE communication module from 10dBm to 13dBm to improve signal strength; retransmission mechanism, enabling the data packet retransmission mechanism to ensure the reliability of data transmission.

[0047] When the detection result of the WiFi communication module is: currently working in the 2.4GHz frequency band, the detected signal-to-noise ratio (SNR) is high, and the received signal strength indication (RSSI) is -50dBm, but there are multiple WiFi devices in the same frequency band, resulting in channel congestion. At this time, the configuration adjustment may include: frequency adjustment, adjusting the working frequency of the WiFi communication module to the 5GHz frequency band to avoid the congestion of the 2.4GHz frequency band; channel selection, selecting a less used 5GHz channel, such as channel 36; transmission rate adjustment, reducing the transmission rate to improve the stability of transmission.

[0048] When the detection result of the RF communication module is: currently working in the 433MHz frequency band, the detected signal-to-noise ratio (SNR) is low, the received signal strength indication (RSSI) is -60dBm, and there is strong external interference. At this time, the configuration adjustment may include: frequency adjustment, adjusting the working frequency of the RF communication module to the 868MHz frequency band to avoid the current interference frequency band; transmission power adjustment, appropriately increasing the transmission power of the RF communication module from 10dBm to 15dBm to improve signal strength; channel hopping, enabling the channel hopping mechanism, dynamically switching the working frequency band to reduce the impact of interference.

[0049] When the detection result of the HPLC communication module is: currently working in the 1MHz to 30MHz frequency band, the detected signal-to-noise ratio (SNR) is high, the received signal strength indication (RSSI) is -40dBm, but there is power line noise interference. At this time, the configuration adjustment may include: frequency adjustment, adjusting the operating frequency of the HPLC communication module to a frequency band with less noise, such as 10MHz to 20MHz; filter setting, enabling a stronger filter to reduce the interference of power line noise; data packet length adjustment, reducing the length of the data packet to reduce the transmission time and improve the anti-interference ability.

[0050] When the detection result of the LTE Cat1 communication module is: currently working in the 800MHz frequency band, the detected signal-to-noise ratio (SNR) is high, the received signal strength indication (RSSI) is -75dBm, but there is occasional packet loss. The configuration adjustments at this time may include: frequency adjustment, keep the current working frequency unchanged, because the coverage of the 800MHz frequency band is better; transmit power adjustment, appropriately increase the transmit power of the LTE Cat1 communication module from 23dBm to 26dBm to improve signal strength; retransmission mechanism, enable the data packet retransmission mechanism to ensure the reliability of data transmission; QoS settings, optimize QoS (quality of service) settings, and give priority to the transmission of important data.

[0051] The above preset algorithm model can be "interference minimization algorithm" and "channel utilization maximization algorithm", which are two commonly used wireless communication optimization algorithms. Among them, the goal of the interference minimization algorithm is to reduce the mutual interference between different communication modules by adjusting the working frequency and transmission power of each communication module, thereby improving the overall communication quality; the goal of the channel utilization maximization algorithm is to maximize the utilization of the channel by reasonably allocating the bandwidth and frequency of each communication module, thereby improving the overall communication efficiency.

[0052] In an optional embodiment, the intelligent communication scheduling module includes an AI prediction engine, wherein the AI ​​prediction engine is used to predict the communication load of the electric energy metering SOC chip in the future. The intelligent communication scheduling module is also used to transmit the first type of data during off-peak periods and the second type of data during peak periods based on the communication load prediction results.

[0053] In the above embodiments, the AI ​​prediction engine can predict the communication load in the future, so as to optimize the configuration of communication resources in advance; the first type of data (such as non-real-time data) is transmitted during the off-peak period, which reduces the communication pressure during the peak period and improves the stability and response speed of the overall system; the second type of data (such as real-time data) is transmitted during the peak period to ensure the timely transmission of key data and improve the user experience and system performance. By predicting the communication load and intelligently scheduling, the load of different communication modules can be effectively managed to avoid data congestion during peak periods. By transmitting different types of data in different time periods, the priority and timing of data transmission can be optimized, and the efficiency and reliability of data transmission can be improved.

[0054] In the related technology, in the absence of an AI prediction engine, the communication scheduling of the energy metering SOC chip may be based on fixed time intervals or simple threshold judgments, which may lead to waste or shortage of communication resources; during peak communication periods, important data may be delayed or lost due to network congestion, while during off-peak periods, network resources may not be fully utilized.

[0055] In practical applications, the AI ​​prediction engine can predict future communication load conditions through machine learning algorithms (such as time series prediction, regression analysis, etc.). These technologies have been widely used in other fields and have a high degree of technical maturity. Existing power metering SOC chips often adopt static or simple dynamic strategies for communication resource management, which cannot be optimized according to future communication load conditions, and easily lead to resource waste or communication congestion. Through the AI ​​prediction engine, the future communication load can be predicted more accurately, so as to make more reasonable scheduling decisions. The first type of data with low real-time requirements can be transmitted during the off-peak period, which can make full use of network resources and avoid resource waste. The second type of data with high real-time requirements can be transmitted preferentially during the peak period, which can ensure the timely transmission of key data and improve the reliability and stability of the system. This technical solution can improve the communication efficiency and resource utilization of the power metering SOC chip, reduce communication costs, and improve user experience. The above-mentioned off-peak period refers to the time period with light communication load, such as night or non-working hours, and the peak period refers to the time period with heavy communication load, such as daytime or working hours. The first category of data may include non-urgent, low-priority data, such as conventional power metering data, log data, etc., and the second category of data may include urgent, high-priority data, such as fault alarm data, real-time control instructions, etc.

[0056] In an optional embodiment, the AI ​​prediction engine builds a machine learning model by regularly collecting historical communication records and seasonal power consumption trend data, and uses the machine learning model to predict communication load conditions.

[0057] In the above embodiment, the AI ​​prediction engine can regularly collect historical communication records and seasonal power consumption trend data, build a machine learning model, and use the model to predict the communication load in the future. This enables the energy metering SOC chip to transmit the first type of data during off-peak periods and the second type of data during peak periods, thereby optimizing the use efficiency of communication resources and improving the overall performance and stability of the system.

[0058] By regularly collecting historical communication records and seasonal electricity consumption trend data and building a more comprehensive machine learning model, the accuracy of communication load forecasting can be significantly improved; more accurate prediction results enable the intelligent communication scheduling module to allocate communication resources more reasonably and improve resource utilization; optimized communication resource management and scheduling can improve system stability and reliability and enhance user experience.

[0059] Through long-term accumulated data, the AI ​​prediction engine can more accurately identify the changing patterns of communication load and provide a reliable basis for subsequent load predictions; the machine learning model trained based on a large amount of historical data can effectively capture the pattern of communication load changes and improve the accuracy of predictions; accurate load predictions help to allocate communication resources in advance, avoid communication congestion during peak hours, and ensure the timely transmission of important data; according to the prediction results, non-emergency data is transmitted first during off-peak hours, and key data is processed centrally during peak hours, thereby balancing the system load and improving communication efficiency and user experience.

[0060] The workflow of the AI ​​prediction engine includes: collecting historical communication data, including communication time, data type, data volume, etc.; using machine learning algorithms (such as time series prediction, regression analysis, etc.) to train prediction models to predict future communication load conditions; based on the trained model, predicting the communication load conditions in the future; the intelligent communication scheduling module decides to transmit the first type of data during off-peak periods and the second type of data during peak periods based on the communication load prediction results.

[0061] Historical communication records may include communication time, data type, data volume, communication success rate, etc. in the past period of time. Collecting historical communication records helps to understand the periodicity, volatility and abnormal conditions of communication loads, and provide data support for building accurate machine learning models; seasonal electricity consumption trend data may include electricity consumption trends in different seasons and time periods. These data can be obtained from power grid companies or users. For example, seasonal electricity consumption trend data may include monthly electricity consumption and total monthly electricity consumption, reflecting the impact of seasonal changes on electricity consumption; peak and valley electricity consumption periods, daily or weekly peak and valley periods of electricity consumption, help to understand the cyclical changes in electricity demand; the relationship between temperature and electricity consumption, the correlation analysis between temperature changes and electricity consumption, reveals the impact of seasonal factors on electricity consumption; holiday electricity consumption patterns, electricity consumption trends and patterns during holidays, reflect the impact of special events on electricity consumption; user electricity consumption behavior, users' electricity consumption habits and behavior patterns in different seasons, such as using air conditioning in summer and heating in winter.

[0062] Model building includes: data preprocessing, which involves cleaning and normalizing the collected historical communication records and seasonal electricity consumption trend data; feature extraction, which involves extracting features related to communication load, such as time, data type, data volume, season, weather, etc.; model selection, which involves selecting appropriate machine learning algorithms, such as time series prediction (ARIMA, LSTM, etc.), regression analysis (linear regression, random forest, etc.), neural networks (deep learning models), etc.; model training, which involves training the selected model using historical data and optimizing model parameters; and model validation, which involves evaluating the prediction accuracy of the model through methods such as cross-validation.

[0063] Based on the above historical communication records and seasonal power consumption trend data, the machine learning model can predict the future communication load. The specific prediction results may include: prediction of future communication data volume, based on the change trend of historical communication data and seasonal power consumption trend, predict the communication data volume in the future period; prediction of communication peak and trough periods, combining historical communication records and user power consumption behavior, predicting the peak and trough periods of future communication activities, and providing decision support for intelligent communication scheduling; prediction of communication network stability, by analyzing historical communication success rate and error rate, predicting the stability and reliability of future communication networks, and timely warning of potential communication failures; resource demand prediction, based on the predicted communication load, predicting the future demand for communication resources (such as bandwidth, power, etc.), and providing a basis for resource allocation and optimization. These prediction results can help the intelligent communication scheduling module of the power metering SOC chip make more reasonable decisions, optimize the allocation and utilization of communication resources, and improve the overall performance and efficiency of the system. At the same time, it also provides more accurate power consumption prediction and scheduling basis for power grid operators, which helps to realize intelligent management and optimization of power grids.

[0064] In an optional embodiment, the electric energy metering SOC chip further includes an antenna, which is respectively connected to each communication module in a group of communication modules, wherein the antenna is arranged in a manner of physically separating different frequency bands.

[0065] In the above embodiment, by physically separating the antenna layouts of different frequency bands, the interference between different frequency bands can be significantly reduced and the communication quality can be improved. Each communication module has an independent antenna, which can communicate more efficiently, avoid resource competition, reduce frequency band interference and improve communication efficiency, enhance the stability and reliability of the system, and improve the user experience.

[0066] The antenna in this embodiment supports multiple frequency bands and reduces interference between frequency bands by physical separation. For example, a multi-band antenna array can be used, each frequency band corresponds to an independent antenna unit, and advanced material shielding measures are combined to further reduce the possibility of signal cross interference. In practical applications, each antenna unit can be physically separated to ensure that they do not interfere with each other in space, and physical separation can be achieved by means such as antenna spacing and shielding materials. Each communication module is connected to the corresponding antenna unit through an independent RF front end, so that the signal transmission of each communication module can be ensured to be free from interference from other modules. For example, antenna unit 1 supports BLE communication module, working in 2.4GHz frequency band, antenna unit 2 supports WiFi communication module, working in 2.4GHz and 5GHz frequency bands, antenna unit 3 supports RF communication module, working in 433MHz and 868MHz frequency bands, antenna unit 4 supports HPLC communication module, working in 1MHz to 30MHz frequency band, antenna unit 5 supports LTECat1 communication module, working in 800MHz frequency band, and optionally, antenna units 1-5 can be located at different positions of PCB board respectively.

[0067] In an optional embodiment, a group of communication modules includes at least two of the following: a Bluetooth low energy BLE communication module, a WiFi communication module, a radio frequency RF communication module, a high-speed power line carrier HPLC communication module and an LTE Cat1 communication module.

[0068] In the above embodiment, the electric energy metering SOC chip can support multiple wireless communication standards, including but not limited to Bluetooth low energy BLE, WiFi, radio frequency RF, high-speed power line carrier HPLC and LTE Cat1 communication modules. The combination of these communication modules enables the electric energy metering SOC chip to flexibly select the most appropriate communication method in different application scenarios, thereby improving the reliability and flexibility of communication. For example, Bluetooth low energy BLE is suitable for short-distance, low-power communication scenarios; WiFi is suitable for scenarios requiring high-speed data transmission; radio frequency RF is suitable for long-distance, low-power communication needs; high-speed power line carrier HPLC is suitable for efficient communication within the power system; and LTE Cat1 is suitable for wide area network communication, ensuring long-distance, stable data transmission capabilities. This support for multi-mode communication significantly improves the scope of application and performance of the electric energy metering system.

[0069] SOC chips can provide more abundant communication options by integrating multiple communication modules to meet the needs of different application scenarios. Through dynamic frequency planning modules and signal quality monitoring modules, interference between different communication modules can be reduced and the reliability and stability of communication can be improved. For example, when the energy metering SOC chip is used in smart homes, the BLE communication module can be used to connect smart sockets, smart bulbs and other devices to achieve low-power local control, and the WiFi communication module is used to upload data to the cloud to achieve remote monitoring and control. When applied to smart grids, the HPLC communication module can use power lines for data transmission to achieve remote meter reading of smart meters, and the LTE Cat1 communication module can be used to upload data to the power grid management system to achieve remote monitoring with wide-area coverage. In industrial automation applications, the RF communication module can be used to remotely monitor the status of factory equipment and achieve long-distance data transmission, and the WiFi communication module can be used to upload data to the factory's central control system to achieve centralized data management. When applied to remote monitoring, the LTE Cat1 communication module can be used to upload data to a remote server to achieve wide-area coverage remote monitoring, and the RF communication module can be used for data transmission in outdoor environments to achieve long-distance monitoring.

[0070] In an optional embodiment, the electric energy metering SOC chip further includes a security encryption module, wherein the security encryption module is used to encrypt and decrypt data transmitted by a group of communication modules to ensure data security.

[0071] During data transmission, the security encryption module encrypts the data according to a preset encryption algorithm and decrypts it at the receiving end to protect the privacy and integrity of the data.

[0072] In an optional embodiment, the above-mentioned electric energy metering SOC chip further includes: an energy management module, wherein the energy management module is used to monitor and manage the energy consumption of the electric energy metering SOC chip, and optimize the power consumption of a group of communication modules.

[0073] In the above embodiment, the energy management module is integrated in the SOC chip, connected to each communication module, and used to obtain the working status and power consumption data of the communication module, and can also be used to send power consumption adjustment instructions to the communication module. For example, the overall power consumption data of the electric energy metering SOC chip is collected in real time through the energy consumption sensor, and the power consumption data of each communication module, including the current working status, is obtained through the communication interface. The collected energy consumption data and the working status of the communication module are recorded in the memory or external storage for subsequent analysis and optimization, and the time of each power consumption adjustment, the power consumption data before and after the adjustment, and the working status of the communication module are recorded. Specific ways to optimize the power consumption of the communication module are: low power mode: during off-peak periods or when there is no task, the communication module is switched to low power mode to reduce unnecessary energy consumption; for example, when there is no data transmission, the BLE communication module is switched to sleep mode, and only the necessary monitoring function is retained; when there is no network connection, the WiFi communication module is switched to power saving mode to reduce the frequency of scanning and broadcasting; when there is no data transmission, the RF communication module turns off the transmitter and only retains the receiver; when there is no data transmission, the HPLC communication module reduces the sampling frequency and transmission rate; when there is no data transmission, the LTE Cat1 communication module is switched to idle mode to reduce the time the network connection is maintained. Dynamic power adjustment mode: dynamically adjust the transmission power of the communication module according to communication needs to reduce unnecessary energy consumption; for example, the BLE communication module reduces the transmission power during short-distance transmission and appropriately increases the transmission power during long-distance transmission; the WiFi communication module reduces the transmission power when the signal quality is good and appropriately increases the transmission power when the signal quality is poor; the RF communication module reduces the transmission power when the signal quality is good and appropriately increases the transmission power when the signal quality is poor; the HPLC communication module reduces the transmission power when the signal quality is good and appropriately increases the transmission power when the signal quality is poor; the LTE Cat1 communication module reduces the transmission power when the signal quality is good and appropriately increases the transmission power when the signal quality is poor.

[0074] The present application also provides a communication control method for an electric energy metering SOC chip, which is applied to the aforementioned electric energy metering SOC chip. Figure 3 This is a flow chart of a communication control method of an electric energy metering SOC chip provided in an embodiment of the present application, and the process includes: Step S301, the dynamic frequency planning module detects the working status of each communication module in a group of communication modules to obtain a detection result; Step S302, the dynamic frequency planning module adjusts the transmission power and operating frequency of each communication module in a group of communication modules according to the detection result; Step S303: the intelligent communication scheduling module selects a target communication module from a group of communication modules according to the type of the current task, and dynamically allocates communication resources to the target communication module to transmit data corresponding to the current task.

[0075] Through the above steps, the dynamic frequency planning module can monitor the working status of each communication module in real time, and automatically adjust the transmission power and working frequency of each communication module according to the detection results, effectively avoiding signal interference between multiple communication modules and improving the communication reliability and accuracy of the energy metering SOC chip. The intelligent communication scheduling module selects the optimal communication module according to the type of different tasks and dynamically allocates communication resources to it, ensuring the efficient transmission of different types of data and improving the overall performance and response speed of the system.

[0076] In the electric energy metering SOC chip in the related technology, the transmission power and operating frequency of the communication module are often fixed and cannot be dynamically adjusted according to actual needs, resulting in low communication performance and resource utilization. Moreover, it is often based on static priorities or fixed communication protocols, and cannot flexibly allocate resources according to the task type. The method of this embodiment can flexibly adjust the transmission power and operating frequency according to the working status and actual needs of the communication module through dynamic frequency planning, thereby improving communication quality and efficiency, reducing interference and energy consumption; the intelligent communication scheduling module can dynamically allocate resources according to the task type, ensuring that key tasks are given priority, and optimizing the utilization of overall communication resources. The dynamic frequency planning module detects the working status of each communication module and adjusts the transmission power and operating frequency according to the detection results; the intelligent communication scheduling module selects the target communication module according to the type of the current task and dynamically allocates communication resources. Through the detection and adjustment of the dynamic frequency planning module, the interference between different communication modules can be significantly reduced and the communication quality can be improved; the intelligent communication scheduling module selects the target communication module according to the type of current task and dynamically allocates communication resources, which can make more reasonable use of communication resources and improve communication efficiency; reducing communication interference and optimizing resource allocation can enhance the stability and reliability of the system and improve user experience.

[0077] In an optional embodiment, the intelligent communication scheduling module selects a target communication module from a group of communication modules according to the task type of the current task, including: pre-establishing a matching relationship between different task types and communication module types; and when receiving the current task, selecting a target communication module that matches the task type of the current task from the matching relationship.

[0078] In the above embodiment, a matching relationship between different task types and communication module types is established in advance to ensure that each task type can correspond to the most suitable communication module, thereby avoiding data transmission delays or failures caused by improper selection of communication modules; when the current task is received, the intelligent communication scheduling module selects the target communication module that matches the current task type from the matching relationship, thereby achieving accurate allocation of communication resources and improving the response speed and processing capability of the system.

[0079] By pre-establishing the matching relationship between the task type and the communication module type, the scheduling process can be simplified, the scheduling efficiency and flexibility can be improved, and the target communication module can be selected according to the task type to ensure that the task is processed by the most suitable communication method, thereby improving the communication quality and efficiency. This method can also reduce the energy consumption and cost in the communication process, and improve the overall performance of the equipment and user satisfaction. The matching relationship between different task types and communication module types can be established in advance, which can be achieved through a configuration file or a database. The intelligent communication scheduling module can identify the type of the current task through the task type identifier or the task description information. According to the pre-established matching relationship, the intelligent communication scheduling module can quickly select the most suitable target communication module. As an example, for example, the matching relationship between different task types and communication module types includes: conventional data transmission and BLE communication module, emergency alarm and LET Cat1 communication module, large-scale data transmission and WiFi communication module, remote monitoring and RF communication module, power line data transmission and HPLC communication module.

[0080] In an optional embodiment, the electric energy metering SOC chip also includes: a signal quality monitoring module, wherein the signal quality monitoring module is used to obtain a set of communication index parameters of each communication module to monitor the communication link quality of each communication module, and the set of communication index parameters at least includes a signal-to-noise ratio parameter, a received signal strength indication parameter and a packet loss rate; the above method also includes: when an interference signal is detected, the signal quality monitoring module starts adaptive anti-interference measures, wherein the adaptive anti-interference measures include frequency adjustment, transmission power adjustment, retransmission mechanism, and channel hopping.

[0081] In the above embodiment, the signal quality monitoring module can obtain the communication index parameters of each communication module in real time, such as signal-to-noise ratio, received signal strength indicator and packet loss rate, so as to effectively monitor the communication link quality of each communication module. When an interference signal is detected, the signal quality monitoring module will immediately start adaptive anti-interference measures, including frequency adjustment, transmission power adjustment, retransmission mechanism and channel hopping, which significantly improves the stability and reliability of the communication system and reduces the impact of signal interference on the accuracy of electric energy metering.

[0082] By introducing the signal quality monitoring module, the quality of the communication link can be monitored in real time, potential problems can be discovered in time, and corresponding measures can be taken. Adaptive anti-interference measures can take corresponding measures according to the type and degree of interference, improve the anti-interference ability of the communication system, and ensure the stability and reliability of communication.

[0083] The energy metering SOC chips in the related art often lack real-time signal quality monitoring and adaptive anti-interference capabilities, resulting in the inability to take effective measures in time when the communication link is interfered, thus affecting the stability and reliability of the communication. This embodiment monitors the quality of the communication link in real time through the signal quality monitoring module, which can promptly discover and handle communication quality problems, improve the stability and reliability of the communication link, and through adaptive anti-interference measures, effectively deal with external interference and improve the anti-interference ability of communication. In practical applications, when an interference signal is detected, measures such as adjusting the operating frequency of the communication module can be taken to avoid the interference frequency band; or the transmission power of the communication module can be increased to improve the signal strength; or a retransmission mechanism can be adopted to enable the data packet retransmission mechanism to ensure the reliability of data transmission; or a channel hopping mechanism can be enabled to dynamically switch the operating frequency band to reduce the impact of interference.

[0084] The following is a specific example, for example, the communication indicator parameters obtained are: BLE communication module: SNR=20dB, RSSI=-70dBm, packet loss rate=5%; WiFi communication module: SNR=25dB, RSSI=-50dBm, packet loss rate=2%; RF communication module: SNR=18dB, RSSI=-60dBm, packet loss rate=8%; HPLC communication module: SNR = 22dB, RSSI = -40dBm, packet loss rate = 3%; LTECat1 communication module: SNR = 20dB, RSSI = -75dBm, packet loss rate = 4%; The signal quality monitoring module regularly obtains the above communication index parameters, monitors the quality of the communication link in real time, and detects strong external interference in the RF communication module by analyzing RSSI and packet loss rate. Initiating adaptive interference measures may include: adjusting the operating frequency of the RF communication module from 433MHz to 868MHz to avoid the interference frequency band, increasing the transmission power of the RF communication module from 10dBm to 15dBm to improve signal strength, enabling the data packet retransmission mechanism to ensure the reliability of data transmission, enabling the channel hopping mechanism, dynamically switching the operating frequency band, and reducing the impact of interference.

[0085] Through the dynamic frequency planning module and the preset algorithm model, the working parameters of the communication module can be dynamically configured according to the detection results to ensure that the various communication modules do not interfere with each other and improve the overall performance of the communication system. This method can also reduce interference and conflicts during the communication process and improve the stability and reliability of communication.

[0086] For example, the current working status of each communication module is detected as follows: the BLE communication module is currently working in the 2.4 GHz frequency band, the detected SNR is 20 dB, and the RSSI is -70 dBm; the WiFi communication module is currently working in the 2.4 GHz frequency band, the detected SNR is 25 dB, and the RSSI is -50 dBm; the RF communication module is currently working in the 433 MHz frequency band, the detected SNR is 18 dB, and the RSSI is -60 dBm; the HPLC communication module is currently working in the 1 MHz to 30 MHz frequency band, the detected SNR is 22 dB, and the RSSI is -40 dBm; the LTE Cat1 communication module is currently working in the 800 MHz frequency band, the detected SNR is 20 dB, and the RSSI is -75 dBm.

[0087] According to the detection results, the dynamic frequency planning module is configured using a preset algorithm model. As an example, the configuration strategy can be: the BLE communication module adjusts the operating frequency to 2.48 GHz and increases the transmit power to 13 dBm; the WiFi communication module adjusts the operating frequency to 5 GHz and selects channel 36; the RF communication module adjusts the operating frequency to 868 MHz and increases the transmit power to 15 dBm; the HPLC communication module adjusts the operating frequency to 10 MHz to 20 MHz and enables a stronger filter; the LTE Cat1 communication module increases the transmit power to 26 dBm and enables the packet retransmission mechanism.

[0088] In an optional embodiment, the above method also includes: the dynamic frequency planning module optimizes the internal algorithm model through self-learning, specifically including: after adjusting the transmission power and operating frequency of the communication module, the dynamic frequency planning module collects and analyzes communication quality feedback data, including communication success rate, bit error rate, and delay; based on the feedback data, the dynamic frequency planning module dynamically adjusts the parameters of its internal algorithm model to optimize the configuration strategy of future communication parameters and achieve continuous improvement of communication performance.

[0089] In the above embodiment, an adaptive learning function is introduced to enable the dynamic frequency planning module to self-optimize the algorithm parameters according to the actual communication effect, thereby achieving continuous improvement of communication performance. This function enables the system to have the ability of self-learning and evolution through a closed-loop feedback mechanism, so that it can better adapt to complex and changing communication environments.

[0090] Obviously, the above-described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The present application will be described in detail below in conjunction with specific embodiments.

[0091] The embodiment of the present application provides a multifunctional communication power metering SOC chip. In order to solve the problem of how to integrate and stably operate multiple wireless communication technologies in the power metering SOC chip to avoid signal interference, the following solution is proposed: A multi-channel dynamic frequency planning module is designed inside the SOC chip to detect the working status of BLE, WiFi, Cat1, RF and HPLC communication modules and the surrounding electromagnetic environment in real time, and automatically adjust the transmission power and operating frequency of each module to reduce mutual interference.

[0092] An intelligent communication scheduling mechanism is adopted to dynamically allocate communication resources according to the characteristics of each communication technology and the priority of the current task, ensuring the timeliness and effectiveness of key data transmission.

[0093] Implement isolation design principles, physically separate antenna layouts for different frequency bands, and combine advanced material shielding measures to further reduce the possibility of signal cross-interference.

[0094] The integrated signal quality monitoring subsystem continuously evaluates the quality of each communication link. Once an interference signal is detected, it immediately activates the adaptive anti-interference mode and quickly adjusts the parameter settings until the optimal communication state is restored.

[0095] Specific example: In the smart grid monitoring environment, considering that the electricity meter is located in a complex residential area surrounded by radiation sources of various wireless devices, the dynamic frequency planning module collects environmental noise data every second and uses the preset algorithm model to calculate the optimal working parameter configuration, such as Wi-Fi using channel 7 and BLE switching to a lower frequency band to avoid each other's trunk communication paths as much as possible. In addition, whenever the load decreases at night, the transmission rate of HPLC is automatically upgraded to accelerate the transmission of large data packets using idle power line bandwidth.

[0096] Furthermore, in order to solve the problem of how to design a reasonable resource allocation strategy, coordinate the needs of various communication technologies without affecting electricity metering, and improve the overall performance of the chip, by embedding an AI prediction engine, we can analyze in advance the data traffic peak periods that may occur in the future, reserve bandwidth for key communication tasks in advance, and effectively prevent sudden communication congestion.

[0097] For example, during daily operation, the AI ​​prediction engine regularly collects historical communication records and seasonal power consumption trends, builds a machine learning model, and predicts the communication load in each time period in the next few days. Based on the prediction results, the system actively initiates large-scale data synchronization tasks during off-peak periods, and during peak periods, it focuses on ensuring that alarm messages and emergency control instructions with high real-time requirements can be sent immediately, realizing intelligent communication resource scheduling.

[0098] In order to further improve the security protection level of the chip and prevent malicious attacks and illegal intrusions, encrypted communication technology and access control lists are introduced to strengthen the review authority of external device access and ensure the confidentiality and integrity of communication data.

[0099] Figure 4 The present invention is a schematic diagram of a multifunctional communication electric energy metering SOC chip, in which BLE, Wi-Fi, Cat1, RF and HPLC communication modules are integrated, all of which are connected to the MCU. The MCU is also connected to the metering module. The MCU includes the above-mentioned multi-channel dynamic frequency planning module for planning the power and frequency of each communication module, and also adopts an intelligent communication scheduling mechanism to dynamically allocate communication resources, that is, the MCU also includes an intelligent communication scheduling module. The MCU also integrates a signal quality monitoring subsystem (corresponding to the aforementioned signal quality monitoring module) for continuously evaluating the quality of each communication link.

[0100] Compared with the prior art, the embodiments of the present application have at least the following technical effects: 1) Dynamic frequency planning and intelligent scheduling strategies are adopted to ensure the harmonious coexistence of multiple communication technologies on the same SOC chip platform, greatly improving the reliability and accuracy of electric energy metering instruments in complex electromagnetic environments; 2) The forward-looking resource allocation using AI prediction engines not only reduces ineffective waiting time, but also greatly improves the response speed of key data, thus significantly enhancing the user experience; 3) The introduction of high-level security protection measures enables the power metering SOC chip to resist modern network security threats and ensure the privacy and security of power data.

[0101] The present application also provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed, any one of the method steps described above is executed.

[0102] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0103] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0104] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0105] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0106] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0107] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0108] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0109] This application is intended to cover any modifications, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the technical field not recorded in the present disclosure.

Claims

1. An electric energy metering SOC chip, characterized in that: include: A group of communication modules, dynamic frequency planning modules and intelligent communication scheduling modules, among which, The dynamic frequency planning module is electrically connected to each communication module in the group of communication modules, and is used to detect the working state of each communication module in the group of communication modules to obtain a detection result, wherein the group of communication modules supports multiple wireless communication standards; the dynamic frequency planning module is also used to automatically adjust the transmission power and working frequency of each communication module in the group of communication modules according to the detection result; The intelligent communication scheduling module is electrically connected to each communication module in the group of communication modules respectively, and is used to select a target communication module from the group of communication modules according to the type of the current task, and dynamically allocate communication resources to the target communication module to transmit data corresponding to the current task.

2. The electric energy metering SOC chip according to claim 1, characterized in that: The electric energy metering SOC chip also includes: a signal quality monitoring module, wherein the signal quality monitoring module is used to obtain a set of communication index parameters of each communication module to monitor the communication link quality of each communication module, and the set of communication index parameters at least includes a signal-to-noise ratio parameter, a received signal strength indication parameter, and a packet loss rate; The signal quality monitoring module is also used to start adaptive anti-interference measures when an interference signal is detected, wherein the adaptive anti-interference measures include frequency adjustment, transmission power adjustment, retransmission mechanism, and channel hopping.

3. The electric energy metering SOC chip according to claim 1, characterized in that: The dynamic frequency planning module obtains the detection result according to a preset period, and uses a preset algorithm model to configure the working parameters of each communication module according to the detection result, so that the communication modules in the group of communication modules do not interfere with each other.

4. The electric energy metering SOC chip according to claim 1, characterized in that: The intelligent communication scheduling module includes an AI prediction engine, wherein the AI ​​prediction engine is used to predict the communication load of the electric energy metering SOC chip in the future. The intelligent communication scheduling module is also used to transmit the first type of data during off-peak periods and the second type of data during peak periods based on the communication load prediction results.

5. The electric energy metering SOC chip according to claim 4, characterized in that: The AI ​​prediction engine builds a machine learning model by regularly collecting historical communication records and seasonal electricity consumption trend data, and uses the machine learning model to predict the communication load situation.

6. The electric energy metering SOC chip according to claim 1, characterized in that: The electric energy metering SOC chip further includes an antenna, which is respectively connected to each communication module in the group of communication modules, wherein the antenna is arranged in a manner of physically separating different frequency bands.

7. The electric energy metering SOC chip according to any one of claims 1 to 6, characterized in that: The group of communication modules includes at least two of the following: a Bluetooth low energy BLE communication module, a WiFi communication module, a radio frequency RF communication module, a high-speed power line carrier HPLC communication module and an LTE Cat1 communication module.

8. A communication method for an electric energy metering SOC chip, characterized in that: The electric energy metering SOC chip used in any one of claims 1 to 7 comprises: The dynamic frequency planning module detects the working status of each communication module in the group of communication modules to obtain a detection result; The dynamic frequency planning module adjusts the transmission power and the operating frequency of each communication module in the group of communication modules according to the detection result; The intelligent communication scheduling module selects a target communication module from the group of communication modules according to the type of the current task, and dynamically allocates communication resources to the target communication module to transmit data corresponding to the current task.

9. The method according to claim 8, characterized in that The intelligent communication scheduling module selects a target communication module from the group of communication modules according to the task type of the current task, including: Pre-establish the matching relationship between different task types and communication module types; When the current task is received, the target communication module matching the task type of the current task is selected from the matching relationship.

10. The method according to claim 8, characterized in that The electric energy metering SOC chip also includes: a signal quality monitoring module, wherein the signal quality monitoring module is used to obtain a set of communication index parameters of each communication module to monitor the communication link quality of each communication module, and the set of communication index parameters at least includes a signal-to-noise ratio parameter, a received signal strength indication parameter, and a packet loss rate; The method further includes: when an interference signal is detected, the signal quality monitoring module starts adaptive anti-interference measures, wherein the adaptive anti-interference measures include frequency adjustment, transmission power adjustment, retransmission mechanism, and channel hopping.

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