Intelligent radio frequency switch control system and method

Abstract

The invention relates to the technical field of radio frequency switch control data processing, provides an intelligent radio frequency switch control system and method, solves the problem of errors or loss of radio frequency signals in the transmission process, improves the data processing speed and the accuracy of a control command, and improves the transmission efficiency. The system comprises a data acquisition unit, an algorithm knowledge base construction unit, a radio frequency receiving unit, a task decomposition unit, a control execution unit and the like, radio frequency signals, equipment states and environment parameter data are collected, the algorithm knowledge base is used for processing, the radio frequency signals are detected, classified and repaired, and finally a radio frequency switch control instruction is generated. The invention also relates to the construction of a data detection model and a communication channel detection strategy library, improves the data integrity and security by using a block chain technology, and achieves the intelligent control of the radio frequency switch.

Description

Technical Field

[0001] The present invention relates to the technical field of radio frequency switch control data processing, and in particular to an intelligent radio frequency switch control system and method. Background Art

[0002] Intelligent RF switch control system is an advanced electrical control system. It combines RF technology and intelligent control concepts. Intelligent RF switch control system uses RF technology for communication. RF technology is a radio technology that can achieve high-speed data transmission and long-distance communication. RF technology transmits information by modulating the carrier frequency, amplitude and phase of high-frequency signals. It has the advantages of fast transmission speed and strong anti-interference ability. Intelligent RF switch has built-in microprocessor and RF module, which can control the on and off of the switch through wireless signals to achieve remote control. RF technology also supports two modes of one-way communication and two-way communication. One-way communication refers to communication only from the remote control to the switch, while two-way communication allows the remote control and the switch to send information to each other.

[0003] The use of intelligent RF switch control system usually involves the following steps: the user sends RF signals to the intelligent RF switch control system through a remote control or smart phone. After receiving the signal, the intelligent RF switch control system will decode and process it to control the switch state of the corresponding device. In actual applications, users can set different control modes and scenarios according to their needs, such as timed switch, remote control, linkage control, etc.

[0004] In actual use, the intelligent RF switch control system has the following technical pain points in data processing. Since the RF signal contains a large amount of data, errors or loss may occur in the data of the RF signal during transmission. The data processing of the RF signal needs to be based on complex algorithms and high data throughput. When errors or loss occur in the data of the RF signal during transmission, the data processing speed of the RF switch control system will be slowed down, thereby reducing the accuracy of the control command of the RF switch control system. In order to solve this technical problem, the present invention provides an intelligent RF switch control system and method. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides an intelligent radio frequency switch control system and method to solve the problem that when errors or loss occur in the data of the radio frequency signal during the transmission process, the data processing speed of the radio frequency switch control system will be slowed down, thereby reducing the accuracy of the control command of the radio frequency switch control system.

[0006] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows: In a first aspect, the present invention provides an intelligent radio frequency switch control system, comprising: A data acquisition unit, used to acquire radio frequency signal data, equipment status data and environmental parameter data, the radio frequency signal data includes frequency, amplitude, phase and modulation parameters, the equipment status data includes equipment operation status information and production efficiency information, and the environmental parameter data includes temperature data and humidity data; An algorithm knowledge base construction unit is used to obtain intelligent radio frequency data processing historical data, extract algorithm features in the intelligent radio frequency data processing historical data, obtain intelligent radio frequency data processing historical algorithm features, retrieve data corresponding to the intelligent radio frequency data processing historical algorithm features, obtain an intelligent radio frequency data processing historical algorithm data set, establish labels for the algorithms in the intelligent radio frequency data processing historical algorithm data set and the data processing data corresponding to the algorithms, obtain algorithm labels, and construct an algorithm knowledge base with the algorithm labels and the intelligent radio frequency data processing historical algorithm data set, wherein the algorithm knowledge base includes a communication channel detection strategy library, an algorithm model library, a data detection model, and an radio frequency switch control model; A radio frequency receiving unit is used to receive a radio frequency signal from a device, amplify the radio frequency signal from the device, and convert the radio frequency signal from the device into a digital signal through an analog-to-digital converter to obtain a preprocessed radio frequency signal, and detect the preprocessed radio frequency signal through a preset data detection model to obtain a radio frequency signal detection result, wherein the radio frequency signal detection result includes a qualified radio frequency signal, a partially qualified radio frequency signal, and an unqualified radio frequency signal, and the device corresponding to the data of the qualified radio frequency signal is marked as a safe communication channel, the device corresponding to the partially qualified radio frequency signal is marked as a communication channel to be detected, and the device corresponding to the unqualified radio frequency signal is marked as a communication channel to be repaired; A task decomposition unit is used to store the data information received from the secure communication channel to the blockchain in real time and generate a hash value corresponding to the secure communication channel data, generate communication warning information for the communication channel to be repaired and the equipment corresponding to the communication channel to be repaired, and perform data monitoring on the communication channel to be repaired to obtain real-time monitoring data of the communication channel to be repaired, and monitor the real-time monitoring data of the communication channel to be repaired through a preset data detection model. When the result output by the data detection model is that the radio frequency signal is qualified, the communication channel to be repaired is modified to be qualified as the radio frequency signal, and the data information received from the communication channel to be detected is subjected to feature extraction to obtain data features of the communication channel to be detected, and the data features of the communication channel to be detected are matched in a preset communication channel detection strategy library to obtain a detection strategy for the communication channel to be detected; A control execution unit is used to detect the communication channel data to be detected using a communication channel detection strategy to be detected, obtain a detection result of error data of the communication channel to be detected, substitute the detection result of error data of the communication channel to be detected into a preset communication channel data repair strategy library for matching, obtain a communication channel data repair strategy corresponding to the detection result of error data of the communication channel to be detected, use the communication channel data repair strategy corresponding to the detection result of error data of the communication channel to be detected to repair the error data of the communication channel to be detected, obtain the repaired data of the communication channel to be detected, and monitor the repaired data of the communication channel to be detected through a preset data detection model; when the result output by the data detection model is that the radio frequency signal is qualified, the communication channel to be detected is modified to be qualified as the radio frequency signal, the qualified radio frequency signal data is transmitted to the radio frequency switch control model for data processing, the radio frequency switch control instruction is obtained, and the radio frequency switch control instruction is sent to the execution device end.

[0007] Furthermore, in the intelligent radio frequency switch control system of the present invention, the radio frequency receiving unit is also used for: The process of constructing the data detection model is to obtain the historical data of RF switch control as the sample data of the data detection model. The sample data of the data detection model includes the signal characteristics of different devices, the signal transmission conditions of different devices and the historical transmission information of different devices. The signal processing technology is used to extract and classify the features of the sample data of the data detection model, identify the RF signals of different quality levels, and obtain the feature classification results of the sample data of the data detection model. The feature classification results of the sample data of the data detection model are used to train the deep learning model to obtain the data detection model.

[0008] Furthermore, in the intelligent radio frequency switch control system of the present invention, the task decomposition unit is also used for: The construction process of the communication channel detection strategy library is to obtain the historical data of various communication channels and the real-time data of the communication channels, obtain the analysis data to be processed, the analysis data to be processed includes the frequency response, bit error rate and signal strength of the channel, perform feature extraction on the analysis data to be processed, obtain the communication channel feature extraction result, match the communication channel feature extraction result in the algorithm model library, obtain the algorithm model corresponding to the communication channel feature extraction result, obtain the algorithm model to be trained, use the communication channel feature extraction result to train the algorithm model to be trained, and obtain the communication channel detection strategy library; The communication channel detection strategy library includes: The communication channel detection strategy is analyzed in the time domain. The pulse shape detection, amplitude detection and duration detection are performed on the signal of the communication channel in the time domain. According to the results of the pulse shape detection, amplitude detection and duration detection, the algorithm model library is matched to obtain the repair strategy corresponding to the results of the pulse shape detection, amplitude detection and duration detection.

[0009] Furthermore, in the intelligent radio frequency switch control system of the present invention, the task decomposition unit is also used for: Randomly screen the data information received from the secure communication channel to obtain a randomly screened data group, recalculate the hash value of the data in the randomly screened data group to obtain a hash value corresponding to the randomly screened data group, and compare the hash value corresponding to the randomly screened data group with the original hash value stored on the blockchain; If the hash value corresponding to the randomly screened data group is consistent with the original hash value stored on the blockchain, the data has not been tampered with and can be used safely; If the hash value corresponding to the randomly screened data group is inconsistent with the original hash value stored on the blockchain, an alarm mechanism is triggered that the data has been tampered with.

[0010] Furthermore, in the intelligent radio frequency switch control system of the present invention, the control execution unit is also used for: Receive the repaired RF signal qualified data, input the repaired RF signal qualified data into a preset RF switch control model, the preset RF switch control model accurately calculates and outputs the corresponding RF switch control instructions based on the input data, and sends the RF switch control instructions to the execution device end, which includes the RF switch and the communication equipment.

[0011] In a second aspect, the present invention provides an intelligent radio frequency switch control method, which is applied to the intelligent radio frequency switch control system as described above, comprising: Step S101, acquiring radio frequency signal data, device status data and environmental parameter data, the radio frequency signal data including frequency, amplitude, phase and modulation parameters, the device status data including device operation status information and production efficiency information, and the environmental parameter data including temperature data and humidity data; Step S102, obtaining intelligent radio frequency data processing historical data, extracting algorithm features in the intelligent radio frequency data processing historical data, obtaining intelligent radio frequency data processing historical algorithm features, retrieving data corresponding to the intelligent radio frequency data processing historical algorithm features, obtaining an intelligent radio frequency data processing historical algorithm data set, establishing labels for the algorithms in the intelligent radio frequency data processing historical algorithm data set and the data processing data corresponding to the algorithms, obtaining algorithm labels, constructing an algorithm knowledge base with the algorithm labels and the intelligent radio frequency data processing historical algorithm data set, wherein the algorithm knowledge base includes a communication channel detection strategy library, an algorithm model library, a data detection model, and an radio frequency switch control model; Step S103, receiving the radio frequency signal at the device end, amplifying the radio frequency signal at the device end, and converting the radio frequency signal at the device end into a digital signal through an analog-to-digital converter to obtain a preprocessed radio frequency signal, detecting the preprocessed radio frequency signal through a preset data detection model to obtain a radio frequency signal detection result, the radio frequency signal detection result includes a qualified radio frequency signal, a partially qualified radio frequency signal, and an unqualified radio frequency signal, marking the device corresponding to the qualified radio frequency signal as a safe communication channel, marking the device corresponding to the partially qualified radio frequency signal as a communication channel to be detected, and marking the device corresponding to the unqualified radio frequency signal as a communication channel to be repaired; Step S104: the data information received from the secure communication channel is stored in real time to the blockchain and a hash value corresponding to the secure communication channel data is generated; communication warning information is generated for the communication channel to be repaired and the device corresponding to the communication channel to be repaired; data monitoring is performed on the communication channel to be repaired to obtain real-time monitoring data of the communication channel to be repaired; the real-time monitoring data of the communication channel to be repaired is monitored through a preset data detection model; when the result output by the data detection model is that the radio frequency signal is qualified, the communication channel to be repaired is modified to be qualified as the radio frequency signal; feature extraction is performed on the data information received from the communication channel to be detected to obtain data features of the communication channel to be detected; the data features of the communication channel to be detected are matched in a preset communication channel detection strategy library to obtain a detection strategy for the communication channel to be detected; Step S105, use the communication channel detection strategy to be detected to detect the communication channel data to be detected, obtain the error data detection result of the communication channel to be detected, substitute the error data detection result of the communication channel to be detected into the preset communication channel data repair strategy library for matching, obtain the communication channel data repair strategy corresponding to the error data detection result of the communication channel to be detected, use the communication channel data repair strategy corresponding to the error data detection result of the communication channel to be detected to repair the error data of the communication channel to be detected, obtain the repaired data of the communication channel to be detected, and monitor the repaired data of the communication channel to be detected through the preset data detection model. When the result output by the data detection model is that the RF signal is qualified, the communication channel to be detected is modified to be qualified as the RF signal, and the qualified RF signal data is transmitted to the RF switch control model for data processing to obtain the RF switch control instruction, and the RF switch control instruction is sent to the execution device end.

[0012] Furthermore, the intelligent radio frequency switch control method of the present invention, step S103 includes: The process of constructing the data detection model is to obtain the historical data of RF switch control as the sample data of the data detection model. The sample data of the data detection model includes the signal characteristics of different devices, the signal transmission conditions of different devices and the historical transmission information of different devices. The signal processing technology is used to extract and classify the features of the sample data of the data detection model, identify the RF signals of different quality levels, and obtain the feature classification results of the sample data of the data detection model. The feature classification results of the sample data of the data detection model are used to train the deep learning model to obtain the data detection model.

[0013] Furthermore, the intelligent radio frequency switch control method of the present invention, step S104 includes: The construction process of the communication channel detection strategy library is to obtain the historical data of various communication channels and the real-time data of the communication channels, obtain the analysis data to be processed, the analysis data to be processed includes the frequency response, bit error rate and signal strength of the channel, perform feature extraction on the analysis data to be processed, obtain the communication channel feature extraction result, match the communication channel feature extraction result in the algorithm model library, obtain the algorithm model corresponding to the communication channel feature extraction result, obtain the algorithm model to be trained, use the communication channel feature extraction result to train the algorithm model to be trained, and obtain the communication channel detection strategy library; The communication channel detection strategy library includes: The communication channel detection strategy is analyzed in the time domain. The pulse shape detection, amplitude detection and duration detection are performed on the signal of the communication channel in the time domain. According to the results of the pulse shape detection, amplitude detection and duration detection, the algorithm model library is matched to obtain the repair strategy corresponding to the results of the pulse shape detection, amplitude detection and duration detection.

[0014] Furthermore, the intelligent radio frequency switch control method of the present invention, step S104 includes: Randomly screen the data information received from the secure communication channel to obtain a randomly screened data group, recalculate the hash value of the data in the randomly screened data group to obtain a hash value corresponding to the randomly screened data group, and compare the hash value corresponding to the randomly screened data group with the original hash value stored on the blockchain; If the hash value corresponding to the randomly screened data group is consistent with the original hash value stored on the blockchain, the data has not been tampered with and can be used safely; If the hash value corresponding to the randomly screened data group is inconsistent with the original hash value stored on the blockchain, an alarm mechanism is triggered that the data has been tampered with.

[0015] Furthermore, the intelligent radio frequency switch control method of the present invention, step S105 includes: Receive the repaired RF signal qualified data, input the repaired RF signal qualified data into a preset RF switch control model, the preset RF switch control model accurately calculates and outputs the corresponding RF switch control instructions based on the input data, and sends the RF switch control instructions to the execution device end, which includes the RF switch and the communication equipment.

[0016] Beneficial effects of the present invention: The present invention can efficiently process RF signal data by constructing an algorithm knowledge base, including a communication channel detection strategy library, an algorithm model library, a data detection model, and a RF switch control model, and solves the problem of errors or losses in the transmission process of RF signals, thereby significantly improving the data processing speed and the accuracy of control commands. By monitoring and classifying RF signals in real time through the data detection model, the present invention can mark devices with different signal qualities as different communication channel states (safe, to be detected, to be repaired), and take corresponding processing measures. This effectively avoids the impact of unqualified signals on the system and enhances the stability and reliability of the system.

[0017] The present invention uses deep learning and signal processing technology to build a data detection model. Through historical data training, the model can automatically learn and extract complex features in the data, and accurately identify the quality of radio frequency signals. The intelligent data processing method improves the system's adaptive ability and response speed. By storing the data information received by the secure communication channel in real time to the blockchain and generating the corresponding hash value for comparison, the present invention can improve the integrity and non-tamperability of the data and ensure the safe operation of the system.

[0018] By constructing a communication channel detection strategy library, the present invention can quickly select the most appropriate detection strategy according to the real-time data of the communication channel, realize accurate identification and monitoring of the communication channel, help to timely discover and repair problems in the communication channel, and optimize the management and maintenance of the communication channel. The intelligent radio frequency switch control system of the present invention adopts a modular design concept, and each unit is relatively independent and cooperates with each other. This design makes the system have high flexibility and scalability, and can be expanded or customized according to actual needs.

[0019] In summary, the present invention significantly improves the performance, stability and intelligence level of the intelligent RF switch control system, and brings new solutions and development directions to the field of RF switch control. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on the drawings without paying any creative labor.

[0021] Figure 1 A schematic flow chart of an intelligent radio frequency switch control method provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. 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. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0023] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0024] In a first aspect, the present invention provides an intelligent radio frequency switch control system, comprising: A data acquisition unit, used to acquire radio frequency signal data, equipment status data and environmental parameter data, the radio frequency signal data includes frequency, amplitude, phase and modulation parameters, the equipment status data includes equipment operation status information and production efficiency information, and the environmental parameter data includes temperature data and humidity data; The data acquisition unit in the technical solution of the present invention is responsible for comprehensively acquiring radio frequency signal data, device status data and environmental parameter data, providing detailed input information for subsequent data processing and decision making.

[0025] In terms of RF signal data, the data acquisition unit can accurately capture key information such as frequency, amplitude, phase, and modulation parameters. These data are the core characteristics of RF signals and are crucial for analyzing signal quality, determining signal transmission status, and performing subsequent data repair and processing.

[0026] At the same time, the data acquisition unit is also responsible for collecting equipment status data, including equipment operation status information and production efficiency information. These data reflect the real-time working status and production efficiency of the equipment, which helps to timely discover equipment failures and optimize production processes, thereby improving the stability and efficiency of the entire RF switch control system.

[0027] In addition, environmental parameter data is also an indispensable part of the data acquisition unit, covering key environmental factors such as temperature data and humidity data, which have an important impact on the transmission of RF signals and the normal operation of equipment. By real-time monitoring and analysis of these environmental parameter data, the present invention can timely adjust and optimize system parameters, and improve the RF switch control system to maintain optimal performance under various environmental conditions.

[0028] In summary, the data acquisition unit provides a solid data foundation for the technical solution of the present invention by comprehensively acquiring RF signal data, device status data, and environmental parameter data. These data play a key role in subsequent data processing and decision-making, and help improve the data processing speed and control command accuracy of the RF switch control system.

[0029] An algorithm knowledge base construction unit is used to obtain intelligent radio frequency data processing historical data, extract algorithm features in the intelligent radio frequency data processing historical data, obtain intelligent radio frequency data processing historical algorithm features, retrieve data corresponding to the intelligent radio frequency data processing historical algorithm features, obtain an intelligent radio frequency data processing historical algorithm data set, establish labels for the algorithms in the intelligent radio frequency data processing historical algorithm data set and the data processing data corresponding to the algorithms, obtain algorithm labels, and construct an algorithm knowledge base with the algorithm labels and the intelligent radio frequency data processing historical algorithm data set, wherein the algorithm knowledge base includes a communication channel detection strategy library, an algorithm model library, a data detection model, and an radio frequency switch control model; The algorithm knowledge base construction unit in the technical solution of the present invention has the main task of obtaining historical data of intelligent RF data processing and extracting algorithm features from the data, and then constructing an algorithm knowledge base including a communication channel detection strategy library, an algorithm model library, a data detection model and a RF switch control model.

[0030] Specifically, the algorithm knowledge base construction unit first collects a large amount of intelligent RF data processing historical data, which comes from the past RF signal transmission and processing process and contains rich algorithm feature information. Through in-depth analysis of these historical data, the algorithm knowledge base construction unit can extract key algorithm features, which reflect the laws and characteristics of RF signal processing.

[0031] The algorithm knowledge base construction unit retrieves the data corresponding to these algorithm features to form a historical algorithm data set for intelligent RF data processing. The data set contains a large number of verified algorithms and their corresponding data processing results, providing strong support for subsequent algorithm selection and optimization.

[0032] The algorithm knowledge base construction unit labels the algorithms in this algorithm data set and their corresponding data processing data to obtain a series of algorithm labels. The labels not only help to quickly locate and retrieve specific algorithms, but also enable comparison and evaluation between algorithms, thereby selecting the algorithm that best suits the current RF signal processing.

[0033] Finally, the algorithm knowledge base construction unit integrates these algorithm tags and the historical algorithm data set of intelligent RF data processing to build a complete algorithm knowledge base. This knowledge base not only contains algorithm resources, but also realizes efficient retrieval and application of algorithms through reasonable organization and classification.

[0034] In the process of solving the problem of RF signal data transmission, by quickly matching and calling the algorithms in the knowledge base, the system can quickly identify and handle errors and loss problems in RF signal transmission, thereby improving the precise control and efficient operation of RF switches.

[0035] A radio frequency receiving unit is used to receive a radio frequency signal from a device, amplify the radio frequency signal from the device, and convert the radio frequency signal from the device into a digital signal through an analog-to-digital converter to obtain a preprocessed radio frequency signal, and detect the preprocessed radio frequency signal through a preset data detection model to obtain a radio frequency signal detection result, wherein the radio frequency signal detection result includes a qualified radio frequency signal, a partially qualified radio frequency signal, and an unqualified radio frequency signal, and the device corresponding to the data of the qualified radio frequency signal is marked as a safe communication channel, the device corresponding to the partially qualified radio frequency signal is marked as a communication channel to be detected, and the device corresponding to the unqualified radio frequency signal is marked as a communication channel to be repaired; The RF receiving unit is responsible for receiving and processing the RF signal from the device end in the technical solution of the present invention, and provides an accurate and reliable signal source for subsequent data detection and processing.

[0036] Specifically, the RF receiving unit first receives the RF signals sent by the device. These signals will be subject to various interferences and influences during the transmission process, resulting in a decrease in signal quality. Therefore, the receiving unit will amplify these signals to enhance the signal strength and improve the signal's anti-interference ability.

[0037] The amplified RF signal is still an analog signal. For subsequent digital processing, the RF receiving unit will convert these analog signals into digital signals through an analog-to-digital converter. The analog-to-digital converter can convert the continuous changes of analog signals into discrete values ​​of digital signals, thus facilitating subsequent digital processing and analysis.

[0038] After obtaining the pre-processed RF signals, the RF receiving unit will use the preset data detection model to detect these signals. The data detection model is a model based on historical data and algorithm training, which can judge the quality of the signal according to the characteristics of the RF signal. Through detection, the RF receiving unit can obtain the detection results of the RF signal, which include three situations: the RF signal is qualified, the RF signal is partially qualified, and the RF signal is unqualified.

[0039] According to the test results, the RF receiving unit will mark different devices. For devices with qualified RF signals, the unit will mark them as safe communication channels, indicating that the RF signal quality of these devices is good and normal data transmission and communication can be carried out. For devices with partially qualified RF signals, the RF receiving unit will mark them as communication channels to be detected, indicating that there are some problems with the RF signal quality of these devices and further detection and processing are required. For devices with unqualified RF signals, the unit will mark them as communication channels to be repaired, indicating that the RF signal quality of these devices is seriously unqualified and needs to be urgently repaired and processed.

[0040] The RF receiving unit can effectively screen out RF signals with good quality and provide a reliable basis for subsequent data processing and control. At the same time, problematic signals and devices can also be marked and processed in a timely manner to improve the accuracy of the entire RF switch control system.

[0041] A task decomposition unit is used to store the data information received from the secure communication channel to the blockchain in real time and generate a hash value corresponding to the secure communication channel data, generate communication warning information for the communication channel to be repaired and the equipment corresponding to the communication channel to be repaired, and perform data monitoring on the communication channel to be repaired to obtain real-time monitoring data of the communication channel to be repaired, and monitor the real-time monitoring data of the communication channel to be repaired through a preset data detection model. When the result output by the data detection model is that the radio frequency signal is qualified, the communication channel to be repaired is modified to be qualified as the radio frequency signal, and the data information received from the communication channel to be detected is subjected to feature extraction to obtain data features of the communication channel to be detected, and the data features of the communication channel to be detected are matched in a preset communication channel detection strategy library to obtain a detection strategy for the communication channel to be detected; The task decomposition unit is responsible for efficiently managing and processing the data information received from the secure communication channel in the technical solution of the present invention, and is also responsible for effectively monitoring and strategy matching the communication channels to be repaired and detected.

[0042] The task decomposition unit stores the data information received from the secure communication channel in real time to the blockchain and generates a hash value corresponding to the secure communication channel data. This step improves the integrity and immutability of the data, because blockchain technology has the characteristics of decentralization and distributed ledgers, which can effectively prevent data from being maliciously tampered with or deleted. At the same time, the generation of hash values ​​also facilitates subsequent data verification and retrieval.

[0043] For the communication channels to be repaired and their corresponding equipment, the task decomposition unit will generate communication warning information to remind relevant personnel to pay attention to and deal with these problems in a timely manner. In addition, the task decomposition unit will also monitor the data of the communication channels to be repaired, obtain and analyze the channel status in real time, and obtain real-time monitoring data of the communication channels to be repaired. The real-time monitoring data of the communication channels to be repaired will be used to evaluate the progress and effect of the channel repair.

[0044] When the real-time monitoring data of the communication channel to be repaired is monitored by the preset data detection model and the output result is that the RF signal is qualified, the task decomposition unit modifies the communication channel to be repaired to the RF signal qualified state. This means that the channel has returned to normal and normal data transmission and communication can be carried out.

[0045] For the communication channel to be detected, the task decomposition unit will extract features from the received data information to obtain the data features of the communication channel to be detected. The data features of the communication channel to be detected include key parameters such as the frequency, amplitude, and phase of the signal, which can reflect the transmission performance and state of the channel. The task decomposition unit matches these data features in the preset communication channel detection strategy library to find the detection strategy that best suits the current channel state.

[0046] By matching the detection strategy of the communication channel to be detected, the task decomposition unit can provide targeted guidance for subsequent data processing and control, which not only improves the efficiency and accuracy of data processing, but also improves the stability and reliability of the RF switch control system.

[0047] In summary, the task decomposition unit effectively solves the problems arising in the process of RF signal data transmission through steps such as real-time data storage to the blockchain, generating hash values, generating communication warning information, data monitoring, feature extraction, and strategy matching, providing a strong guarantee for the normal operation of the entire RF switch control system.

[0048] A control execution unit is used to detect the communication channel data to be detected using a communication channel detection strategy to be detected, obtain a detection result of error data of the communication channel to be detected, substitute the detection result of error data of the communication channel to be detected into a preset communication channel data repair strategy library for matching, obtain a communication channel data repair strategy corresponding to the detection result of error data of the communication channel to be detected, use the communication channel data repair strategy corresponding to the detection result of error data of the communication channel to be detected to repair the error data of the communication channel to be detected, obtain the repaired data of the communication channel to be detected, and monitor the repaired data of the communication channel to be detected through a preset data detection model; when the result output by the data detection model is that the radio frequency signal is qualified, the communication channel to be detected is modified to be qualified as the radio frequency signal, the qualified radio frequency signal data is transmitted to the radio frequency switch control model for data processing, the radio frequency switch control instruction is obtained, and the radio frequency switch control instruction is sent to the execution device end.

[0049] The control execution unit is responsible for performing a comprehensive detection on the communication channel data to be detected according to the communication channel detection strategy to be detected, finding the erroneous data, and repairing the erroneous data using the preset communication channel data repair strategy library, thereby improving the accuracy of the data. The following is the specific workflow of the control execution unit: The control execution unit first uses the communication channel detection strategy to perform a comprehensive detection on the communication channel data to be detected. This step is to identify any potential data errors or anomalies and provide an accurate basis for subsequent data repair.

[0050] When error data is detected, the control execution unit will substitute the error data detection result of the communication channel to be detected into the preset communication channel data repair strategy library for matching. This repair strategy library contains a variety of repair methods for different types of data errors, which can improve the search for the most suitable repair strategy for the current error situation.

[0051] After matching the appropriate repair strategy, the control execution unit will use the strategy to repair the erroneous data of the communication channel to be detected. The repair process includes multiple methods such as data interpolation, smoothing, and error value replacement to improve the repaired data to be as close to the true value of the original data as possible.

[0052] After the repair is completed, the control execution unit will re-detect the repaired data of the communication channel to be detected through the preset data detection model. This step is to verify the repair effect and improve the data to have been restored to a qualified state.

[0053] If the result output by the data detection model is that the RF signal is qualified, the control execution unit will modify the communication channel to be detected to a RF signal qualified state, which means that the channel has returned to normal and can carry out normal data transmission and communication.

[0054] The control execution unit transmits the qualified data of the RF signal to the RF switch control model for data processing. The RF switch control model generates accurate RF switch control instructions based on the received data.

[0055] Finally, the control execution unit sends the generated RF switch control instruction to the execution device. The execution device performs corresponding operations according to the received instruction, thereby realizing accurate control of the RF switch.

[0056] The control execution unit can improve the accuracy and integrity of the communication channel data to be detected, providing a strong guarantee for the stable operation of the RF switch control system. At the same time, the control execution unit also improves the data processing speed of the entire system and the accuracy of the control commands, allowing the RF switch control system to respond to various control requirements more efficiently.

[0057] Specifically, in the intelligent radio frequency switch control system of the present invention, the radio frequency receiving unit is further used for: The process of constructing the data detection model is to obtain the historical data of RF switch control as the sample data of the data detection model. The sample data of the data detection model includes the signal characteristics of different devices, the signal transmission conditions of different devices and the historical transmission information of different devices. The signal processing technology is used to extract and classify the features of the sample data of the data detection model, identify the RF signals of different quality levels, and obtain the feature classification results of the sample data of the data detection model. The feature classification results of the sample data of the data detection model are used to train the deep learning model to obtain the data detection model.

[0058] In the intelligent RF switch control system described in the present invention, the RF receiving unit is not only responsible for receiving and processing RF signals, but also undertakes the task of building a data detection model, aiming to improve the system's ability to identify the quality of RF signals through deep learning and signal processing technology, thereby providing more accurate data support for subsequent RF switch control.

[0059] Specifically, the process of building a data detection model includes the following steps: The RF receiving unit will obtain the data related to RF switch control from the historical data as the sample data of the data detection model. These sample data cover the signal characteristics, signal transmission conditions and historical transmission information of different devices, which improves the comprehensiveness and generalization ability of the model.

[0060] Using advanced signal processing technology, the collected sample data is subjected to feature extraction and classification. The purpose of this step is to identify RF signals of different quality levels and provide accurate feature input for subsequent model training.

[0061] After obtaining the data detection model sample data feature classification results, the RF receiving unit will use these results to train the deep learning model. The deep learning model can automatically learn and extract complex features in the data, thereby achieving accurate identification of RF signal quality.

[0062] After training is completed, the model needs to be verified and optimized. By comparing the model prediction results with the actual RF signal quality, the accuracy and reliability of the model can be evaluated. If the model performance does not meet the requirements, it can be optimized by adjusting the model parameters or adding training data.

[0063] Finally, the verified and optimized data detection model is deployed in the RF receiving unit to monitor and evaluate the quality of the RF signal in real time. This model can quickly and accurately identify the quality level of the RF signal, providing strong support for the decision-making of the RF switch control system.

[0064] By constructing such a data detection model, the intelligent RF switch control system of the present invention can realize accurate monitoring and evaluation of RF signal quality, thereby improving the control accuracy and response speed of the system. At the same time, this model can also adaptively learn and adjust to cope with RF signal changes under different devices and transmission conditions, thereby improving the stability and reliability of the system.

[0065] Specifically, in the intelligent radio frequency switch control system of the present invention, the task decomposition unit is also used for: The construction process of the communication channel detection strategy library is to obtain the historical data of various communication channels and the real-time data of the communication channels, obtain the analysis data to be processed, the analysis data to be processed includes the frequency response, bit error rate and signal strength of the channel, perform feature extraction on the analysis data to be processed, obtain the communication channel feature extraction result, match the communication channel feature extraction result in the algorithm model library, obtain the algorithm model corresponding to the communication channel feature extraction result, obtain the algorithm model to be trained, use the communication channel feature extraction result to train the algorithm model to be trained, and obtain the communication channel detection strategy library; In the intelligent RF switch control system described in the present invention, the task decomposition unit is not only responsible for real-time data processing and communication channel monitoring, but also undertakes the construction of the communication channel detection strategy library. The construction of the communication channel detection strategy library is to more accurately identify and respond to the characteristics of different communication channels, thereby optimizing the control strategy of the RF switch. The following is the specific process of building the communication channel detection strategy library: The task decomposition unit will obtain historical and real-time data of the communication channel from multiple sources. The data covers key indicators such as the channel's frequency response, bit error rate, signal strength, etc., providing a rich information basis for subsequent analysis.

[0066] The collected data contains noise or outliers, so preprocessing is required. This includes data cleaning, denoising, normalization and other operations to improve the accuracy and consistency of the data.

[0067] The task decomposition unit will extract features from the preprocessed data. Through signal processing technology, key features that can reflect the characteristics of the communication channel are extracted, such as the flatness of the frequency response, the stability of the bit error rate, and the range of signal strength.

[0068] The extracted communication channel features will be sent to the algorithm model library for matching. The algorithm model library contains a variety of algorithm models for different communication channel characteristics, such as classification models and regression models based on machine learning. Through matching, the algorithm model that best suits the current communication channel characteristics can be found.

[0069] The matched algorithm model needs to be further trained to achieve optimal performance. The task decomposition unit uses the extracted communication channel features as training data to train the algorithm model. During the training process, the model will learn how to output accurate communication channel status or prediction results based on the input features.

[0070] The trained algorithm model will be integrated into the communication channel detection strategy library. This strategy library contains a variety of detection strategies for different communication channel characteristics, and can quickly select the most appropriate strategy to respond based on real-time monitored data.

[0071] As time goes by and the communication environment changes, the characteristics of the communication channel will change. Therefore, the task decomposition unit needs to regularly update and optimize the algorithm model in the communication channel detection strategy library to keep it in the best state.

[0072] Through such a construction process, the intelligent RF switch control system of the present invention can realize accurate identification and monitoring of different communication channels, providing a more accurate and reliable basis for the control of RF switches. At the same time, the dynamic update and optimization of the communication channel detection strategy library also improves the system's ability to adapt to the ever-changing communication environment and improves the flexibility and robustness of the system.

[0073] The communication channel detection strategy library includes: The communication channel detection strategy is analyzed in the time domain. The pulse shape detection, amplitude detection and duration detection are performed on the signal of the communication channel in the time domain. According to the results of the pulse shape detection, amplitude detection and duration detection, the algorithm model library is matched to obtain the repair strategy corresponding to the results of the pulse shape detection, amplitude detection and duration detection.

[0074] Frequency domain analysis communication channel detection strategy: Through mathematical methods such as fast Fourier transform (FFT), the signal is converted from the time domain to the frequency domain for analysis. Frequency domain analysis can reveal information such as the frequency content and power spectrum density of the signal, which helps to identify abnormal components such as harmonics and spurious in the signal. For modulated signals, demodulation is required to recover the original information. The demodulation process involves adjusting the phase, frequency or amplitude of the signal to extract useful data. Decoding is to convert the demodulated signal into an understandable information format, such as binary data or analog signals. During the signal decoding process, error detection codes (such as CRC) are applied to identify and correct errors introduced during the transmission process. For the erroneous data content found, it can be marked, replaced, or requested to be retransmitted.

[0075] Comprehensive analysis of communication channel detection strategy: The results of time domain analysis, frequency domain analysis, demodulation and decoding are combined to form a complete understanding of the RF signal. By comparing the expected signal characteristics with the actual measurement results, abnormal or erroneous parts of the signal can be identified.

[0076] Specifically, in the intelligent radio frequency switch control system of the present invention, the task decomposition unit is also used for: Randomly screen the data information received from the secure communication channel to obtain a randomly screened data group, recalculate the hash value of the data in the randomly screened data group to obtain a hash value corresponding to the randomly screened data group, and compare the hash value corresponding to the randomly screened data group with the original hash value stored on the blockchain; If the hash value corresponding to the randomly screened data group is consistent with the original hash value stored on the blockchain, the data has not been tampered with and can be used safely; If the hash value corresponding to the randomly screened data group is inconsistent with the original hash value stored on the blockchain, an alarm mechanism is triggered that the data has been tampered with.

[0077] In the intelligent RF switch control system described in the present invention, the task decomposition unit assumes the important responsibility of improving data integrity and security. In addition to the functions described above, it also performs a key data verification task, that is, by randomly screening and comparing the hash values ​​of the data information received from the secure communication channel to detect whether the data has been tampered with. The following are the detailed steps of this process: The task decomposition unit first randomly selects a part of the data from the data information received through the secure communication channel to form a randomly selected data group. The purpose of this step is to increase the randomness and comprehensiveness of data verification and improve the verification results to truly reflect the overall status of the data.

[0078] The task decomposition unit will use the hash function to recalculate the randomly selected data group to obtain the hash value corresponding to the data group. The hash value is a unique digital fingerprint that can uniquely identify the content of a piece of data. By recalculating the hash value, the task decomposition unit can provide an accurate basis for subsequent comparisons.

[0079] After calculating the hash value corresponding to the randomly screened data group, the task decomposition unit will compare it with the original hash value stored on the blockchain. Blockchain is a decentralized distributed ledger technology with the characteristic that data cannot be tampered with. Therefore, the original hash value stored on the blockchain can be regarded as a true and reliable reference for the data.

[0080] If the hash value corresponding to the randomly screened data group is consistent with the original hash value stored on the blockchain, the task decomposition unit will determine that the data has not been tampered with and can be used safely. This means that the data has maintained integrity and consistency during transmission from the sender to the receiver, without any malicious attack or tampering.

[0081] If the hash value corresponding to the randomly screened data group is inconsistent with the original hash value stored on the blockchain, the task decomposition unit will immediately trigger an alarm mechanism to indicate that the data has been tampered with. This step is to prevent the use of tampered data for subsequent RF switch control operations, thereby protecting the security and stability of the system.

[0082] Through such a data verification mechanism, the intelligent RF switch control system of the present invention can effectively detect and respond to the risk of data tampering, and improve the data received by the system to be true, complete and reliable. This not only improves the security of the system, but also provides more accurate data support for subsequent RF switch control. At the same time, this data verification method based on blockchain and hash value comparison is also highly practical and scalable, and can be applied to various scenarios that require improved data integrity and security.

[0083] Specifically, in the intelligent radio frequency switch control system of the present invention, the control execution unit is also used for: Receive the repaired RF signal qualified data, input the repaired RF signal qualified data into a preset RF switch control model, the preset RF switch control model accurately calculates and outputs the corresponding RF switch control instructions based on the input data, and sends the RF switch control instructions to the execution device end, which includes the RF switch and the communication equipment.

[0084] In the intelligent RF switch control system described in the present invention, the control execution unit plays a key role in converting the repaired RF signal data into actual control instructions and sending them to the execution device. The following are detailed steps on how the control execution unit processes the repaired RF signal qualified data and generates control instructions: The control execution unit receives the repaired RF signal qualified data from the data repair process. These data have passed the previous data detection, error identification and repair process, and are confirmed to be of qualified quality and can be used for subsequent RF switch control.

[0085] The control execution unit inputs the received repaired RF signal qualified data into the preset RF switch control model. This model is built based on a deep understanding of RF switch control logic and communication principles, and can accurately calculate the corresponding RF switch control instructions based on the input data.

[0086] Model calculation and control command generation: After receiving the data, the RF switch control model will perform a series of complex calculations and analyses. These calculations include signal strength evaluation, interference prediction, frequency allocation optimization, etc., aiming to improve the generated RF switch control instructions to maximize communication efficiency and reduce interference. After completing the calculation, the model will output the corresponding RF switch control instructions.

[0087] After receiving the instructions output by the RF switch control model, the control execution unit will immediately send these instructions to the execution device. The execution device usually includes the RF switch and the communication device connected to it, which is responsible for adjusting the state of the RF switch according to the received instructions, thereby achieving precise control of the communication channel.

[0088] After receiving the control command, the execution device will respond quickly and perform the corresponding operation. At the same time, these devices will also feed back the execution results or status information to the control execution unit so that the system can monitor and control the status of the RF switch in real time.

[0089] Through such a process, the intelligent RF switch control system of the present invention can realize accurate control and optimized management of RF signals, thereby improving the overall performance and stability of the communication system. In addition, since the system adopts intelligent data processing and decision-making mechanisms, it can adaptively respond to different communication environments and demand changes, and provide users with more efficient, reliable and flexible communication services.

[0090] In a second aspect, the present invention provides an intelligent radio frequency switch control method, which is applied to the intelligent radio frequency switch control system as described above, comprising: Step S101, acquiring radio frequency signal data, device status data and environmental parameter data, the radio frequency signal data including frequency, amplitude, phase and modulation parameters, the device status data including device operation status information and production efficiency information, and the environmental parameter data including temperature data and humidity data; Step S102, obtaining intelligent radio frequency data processing historical data, extracting algorithm features in the intelligent radio frequency data processing historical data, obtaining intelligent radio frequency data processing historical algorithm features, retrieving data corresponding to the intelligent radio frequency data processing historical algorithm features, obtaining an intelligent radio frequency data processing historical algorithm data set, establishing labels for the algorithms in the intelligent radio frequency data processing historical algorithm data set and the data processing data corresponding to the algorithms, obtaining algorithm labels, constructing an algorithm knowledge base with the algorithm labels and the intelligent radio frequency data processing historical algorithm data set, wherein the algorithm knowledge base includes a communication channel detection strategy library, an algorithm model library, a data detection model, and an radio frequency switch control model; Step S103, receiving the radio frequency signal at the device end, amplifying the radio frequency signal at the device end, and converting the radio frequency signal at the device end into a digital signal through an analog-to-digital converter to obtain a preprocessed radio frequency signal, detecting the preprocessed radio frequency signal through a preset data detection model to obtain a radio frequency signal detection result, the radio frequency signal detection result includes a qualified radio frequency signal, a partially qualified radio frequency signal, and an unqualified radio frequency signal, marking the device corresponding to the qualified radio frequency signal as a safe communication channel, marking the device corresponding to the partially qualified radio frequency signal as a communication channel to be detected, and marking the device corresponding to the unqualified radio frequency signal as a communication channel to be repaired; Step S104: the data information received from the secure communication channel is stored in real time to the blockchain and a hash value corresponding to the secure communication channel data is generated; communication warning information is generated for the communication channel to be repaired and the device corresponding to the communication channel to be repaired; data monitoring is performed on the communication channel to be repaired to obtain real-time monitoring data of the communication channel to be repaired; the real-time monitoring data of the communication channel to be repaired is monitored through a preset data detection model; when the result output by the data detection model is that the radio frequency signal is qualified, the communication channel to be repaired is modified to be qualified as the radio frequency signal; feature extraction is performed on the data information received from the communication channel to be detected to obtain data features of the communication channel to be detected; the data features of the communication channel to be detected are matched in a preset communication channel detection strategy library to obtain a detection strategy for the communication channel to be detected; Step S105, use the communication channel detection strategy to be detected to detect the communication channel data to be detected, obtain the error data detection result of the communication channel to be detected, substitute the error data detection result of the communication channel to be detected into the preset communication channel data repair strategy library for matching, obtain the communication channel data repair strategy corresponding to the error data detection result of the communication channel to be detected, use the communication channel data repair strategy corresponding to the error data detection result of the communication channel to be detected to repair the error data of the communication channel to be detected, obtain the repaired data of the communication channel to be detected, and monitor the repaired data of the communication channel to be detected through the preset data detection model. When the result output by the data detection model is that the RF signal is qualified, the communication channel to be detected is modified to be qualified as the RF signal, and the qualified RF signal data is transmitted to the RF switch control model for data processing to obtain the RF switch control instruction, and the RF switch control instruction is sent to the execution device end.

[0091] Specifically, the intelligent radio frequency switch control method of the present invention, step S103 includes: The process of constructing the data detection model is to obtain the historical data of RF switch control as the sample data of the data detection model. The sample data of the data detection model includes the signal characteristics of different devices, the signal transmission conditions of different devices and the historical transmission information of different devices. The signal processing technology is used to extract and classify the features of the sample data of the data detection model, identify the RF signals of different quality levels, and obtain the feature classification results of the sample data of the data detection model. The feature classification results of the sample data of the data detection model are used to train the deep learning model to obtain the data detection model.

[0092] Specifically, the intelligent radio frequency switch control method of the present invention, step S104 includes: The construction process of the communication channel detection strategy library is to obtain the historical data of various communication channels and the real-time data of the communication channels, obtain the analysis data to be processed, the analysis data to be processed includes the frequency response, bit error rate and signal strength of the channel, perform feature extraction on the analysis data to be processed, obtain the communication channel feature extraction result, match the communication channel feature extraction result in the algorithm model library, obtain the algorithm model corresponding to the communication channel feature extraction result, obtain the algorithm model to be trained, use the communication channel feature extraction result to train the algorithm model to be trained, and obtain the communication channel detection strategy library; The communication channel detection strategy library includes: The communication channel detection strategy is analyzed in the time domain. The pulse shape detection, amplitude detection and duration detection are performed on the signal of the communication channel in the time domain. According to the results of the pulse shape detection, amplitude detection and duration detection, the algorithm model library is matched to obtain the repair strategy corresponding to the results of the pulse shape detection, amplitude detection and duration detection.

[0093] Specifically, the intelligent radio frequency switch control method of the present invention, step S104 includes: Randomly screen the data information received from the secure communication channel to obtain a randomly screened data group, recalculate the hash value of the data in the randomly screened data group to obtain a hash value corresponding to the randomly screened data group, and compare the hash value corresponding to the randomly screened data group with the original hash value stored on the blockchain; If the hash value corresponding to the randomly screened data group is consistent with the original hash value stored on the blockchain, the data has not been tampered with and can be used safely; If the hash value corresponding to the randomly screened data group is inconsistent with the original hash value stored on the blockchain, an alarm mechanism is triggered that the data has been tampered with.

[0094] Specifically, the intelligent radio frequency switch control method of the present invention, step S105 includes: Receive the repaired RF signal qualified data, input the repaired RF signal qualified data into a preset RF switch control model, the preset RF switch control model accurately calculates and outputs the corresponding RF switch control instructions based on the input data, and sends the RF switch control instructions to the execution device end, which includes the RF switch and the communication equipment.

[0095] The present invention solves the problem that when the data of the RF signal is erroneous or lost during the transmission process, the data processing speed of the RF switch control system slows down, thereby affecting the accuracy of the control command through the following technical means: Obtain RF signal data, device status data, and environmental parameter data, which provide comprehensive input for subsequent algorithm processing and decision-making. By extracting algorithm features from historical data of intelligent RF data processing, an algorithm knowledge base including a communication channel detection strategy library, an algorithm model library, a data detection model, and an RF switch control model is constructed. This provides powerful algorithm support for processing RF signal data. Receive RF signals from the device end and perform preprocessing such as amplification and analog-to-digital conversion. Through the preset data detection model, the preprocessed RF signal is detected and the signal is divided into three categories: qualified, partially qualified, and unqualified, and the security status of the communication channel is marked accordingly. The data information received from the secure communication channel is stored in real time to the blockchain, and the corresponding hash value is generated to improve the integrity and immutability of the data. For the communication channel to be repaired, the unit will generate communication warning information and perform data monitoring and repair. For the communication channel to be detected, the unit will extract data features and match them in the communication channel detection strategy library to obtain the corresponding detection strategy.

[0096] The communication channel detection strategy to be detected is used to detect the communication channel data to be detected, and the error data detection results are substituted into the communication channel data repair strategy library for matching and repair. The repaired data is monitored again through the data detection model to improve the signal quality. Finally, the qualified RF signal data is transmitted to the RF switch control model for processing, and the RF switch control instruction is generated and sent.

[0097] Through the above technical means, the present invention effectively solves the error or loss problem that occurs during the transmission of radio frequency signal data, and improves the data processing speed of the radio frequency switch control system and the accuracy of the control command.

Claims

1. An intelligent radio frequency switch control system, characterized in that: include: A data acquisition unit, used to acquire radio frequency signal data, equipment status data and environmental parameter data, the radio frequency signal data includes frequency, amplitude, phase and modulation parameters, the equipment status data includes equipment operation status information and production efficiency information, and the environmental parameter data includes temperature data and humidity data; An algorithm knowledge base construction unit is used to obtain intelligent radio frequency data processing historical data, extract algorithm features in the intelligent radio frequency data processing historical data, obtain intelligent radio frequency data processing historical algorithm features, retrieve data corresponding to the intelligent radio frequency data processing historical algorithm features, obtain an intelligent radio frequency data processing historical algorithm data set, establish labels for the algorithms in the intelligent radio frequency data processing historical algorithm data set and the data processing data corresponding to the algorithms, obtain algorithm labels, and construct an algorithm knowledge base with the algorithm labels and the intelligent radio frequency data processing historical algorithm data set, wherein the algorithm knowledge base includes a communication channel detection strategy library, an algorithm model library, a data detection model, and an radio frequency switch control model; A radio frequency receiving unit is used to receive a radio frequency signal from a device, amplify the radio frequency signal from the device, and convert the radio frequency signal from the device into a digital signal through an analog-to-digital converter to obtain a preprocessed radio frequency signal, and detect the preprocessed radio frequency signal through a preset data detection model to obtain a radio frequency signal detection result, wherein the radio frequency signal detection result includes a qualified radio frequency signal, a partially qualified radio frequency signal, and an unqualified radio frequency signal, and the device corresponding to the data of the qualified radio frequency signal is marked as a safe communication channel, the device corresponding to the partially qualified radio frequency signal is marked as a communication channel to be detected, and the device corresponding to the unqualified radio frequency signal is marked as a communication channel to be repaired; A task decomposition unit is used to store the data information received from the secure communication channel to the blockchain in real time and generate a hash value corresponding to the secure communication channel data, generate communication warning information for the communication channel to be repaired and the equipment corresponding to the communication channel to be repaired, and perform data monitoring on the communication channel to be repaired to obtain real-time monitoring data of the communication channel to be repaired, and monitor the real-time monitoring data of the communication channel to be repaired through a preset data detection model. When the result output by the data detection model is that the radio frequency signal is qualified, the communication channel to be repaired is modified to be qualified as the radio frequency signal, and the data information received from the communication channel to be detected is subjected to feature extraction to obtain data features of the communication channel to be detected, and the data features of the communication channel to be detected are matched in a preset communication channel detection strategy library to obtain a detection strategy for the communication channel to be detected; A control execution unit is used to detect the communication channel data to be detected using a communication channel detection strategy to be detected, obtain a detection result of error data of the communication channel to be detected, substitute the detection result of error data of the communication channel to be detected into a preset communication channel data repair strategy library for matching, obtain a communication channel data repair strategy corresponding to the detection result of error data of the communication channel to be detected, use the communication channel data repair strategy corresponding to the detection result of error data of the communication channel to be detected to repair the error data of the communication channel to be detected, obtain the repaired data of the communication channel to be detected, and monitor the repaired data of the communication channel to be detected through a preset data detection model; when the result output by the data detection model is that the radio frequency signal is qualified, the communication channel to be detected is modified to be qualified as the radio frequency signal, the qualified radio frequency signal data is transmitted to the radio frequency switch control model for data processing, the radio frequency switch control instruction is obtained, and the radio frequency switch control instruction is sent to the execution device end.

2. The intelligent radio frequency switch control system according to claim 1, characterized in that: The radio frequency receiving unit is further used for: The process of constructing the data detection model is to obtain the historical data of RF switch control as the sample data of the data detection model. The sample data of the data detection model includes the signal characteristics of different devices, the signal transmission conditions of different devices and the historical transmission information of different devices. The signal processing technology is used to extract and classify the features of the sample data of the data detection model, identify the RF signals of different quality levels, and obtain the feature classification results of the sample data of the data detection model. The feature classification results of the sample data of the data detection model are used to train the deep learning model to obtain the data detection model.

3. The intelligent radio frequency switch control system according to claim 1, characterized in that: The task decomposition unit is further used for: The construction process of the communication channel detection strategy library is to obtain the historical data of various communication channels and the real-time data of the communication channels, obtain the analysis data to be processed, the analysis data to be processed includes the frequency response, bit error rate and signal strength of the channel, perform feature extraction on the analysis data to be processed, obtain the communication channel feature extraction result, match the communication channel feature extraction result in the algorithm model library, obtain the algorithm model corresponding to the communication channel feature extraction result, obtain the algorithm model to be trained, use the communication channel feature extraction result to train the algorithm model to be trained, and obtain the communication channel detection strategy library; The communication channel detection strategy library includes: The communication channel detection strategy is analyzed in the time domain. The pulse shape detection, amplitude detection and duration detection are performed on the signal of the communication channel in the time domain. According to the results of the pulse shape detection, amplitude detection and duration detection, the algorithm model library is matched to obtain the repair strategy corresponding to the results of the pulse shape detection, amplitude detection and duration detection.

4. The intelligent radio frequency switch control system according to claim 3, characterized in that: The task decomposition unit is further used for: Randomly screen the data information received from the secure communication channel to obtain a randomly screened data group, recalculate the hash value of the data in the randomly screened data group to obtain a hash value corresponding to the randomly screened data group, and compare the hash value corresponding to the randomly screened data group with the original hash value stored on the blockchain; If the hash value corresponding to the randomly screened data group is consistent with the original hash value stored on the blockchain, the data has not been tampered with and can be used safely; If the hash value corresponding to the randomly screened data group is inconsistent with the original hash value stored on the blockchain, an alarm mechanism is triggered that the data has been tampered with.

5. The intelligent radio frequency switch control system according to claim 4, characterized in that: The control execution unit is further used for: Receive the repaired RF signal qualified data, input the repaired RF signal qualified data into a preset RF switch control model, the preset RF switch control model accurately calculates and outputs the corresponding RF switch control instructions based on the input data, and sends the RF switch control instructions to the execution device end, which includes the RF switch and the communication equipment.

6. An intelligent radio frequency switch control method, applied to the intelligent radio frequency switch control system according to any one of claims 1 to 5, characterized in that: include: Step S101, acquiring radio frequency signal data, device status data and environmental parameter data, the radio frequency signal data including frequency, amplitude, phase and modulation parameters, the device status data including device operation status information and production efficiency information, and the environmental parameter data including temperature data and humidity data; Step S102, obtaining intelligent radio frequency data processing historical data, extracting algorithm features in the intelligent radio frequency data processing historical data, obtaining intelligent radio frequency data processing historical algorithm features, retrieving data corresponding to the intelligent radio frequency data processing historical algorithm features, obtaining an intelligent radio frequency data processing historical algorithm data set, establishing labels for the algorithms in the intelligent radio frequency data processing historical algorithm data set and the data processing data corresponding to the algorithms, obtaining algorithm labels, constructing an algorithm knowledge base with the algorithm labels and the intelligent radio frequency data processing historical algorithm data set, wherein the algorithm knowledge base includes a communication channel detection strategy library, an algorithm model library, a data detection model, and an radio frequency switch control model; Step S103, receiving the radio frequency signal at the device end, amplifying the radio frequency signal at the device end, and converting the radio frequency signal at the device end into a digital signal through an analog-to-digital converter to obtain a preprocessed radio frequency signal, detecting the preprocessed radio frequency signal through a preset data detection model to obtain a radio frequency signal detection result, the radio frequency signal detection result includes a qualified radio frequency signal, a partially qualified radio frequency signal, and an unqualified radio frequency signal, marking the device corresponding to the qualified radio frequency signal as a safe communication channel, marking the device corresponding to the partially qualified radio frequency signal as a communication channel to be detected, and marking the device corresponding to the unqualified radio frequency signal as a communication channel to be repaired; Step S104: the data information received from the secure communication channel is stored in real time to the blockchain and a hash value corresponding to the secure communication channel data is generated; communication warning information is generated for the communication channel to be repaired and the device corresponding to the communication channel to be repaired; data monitoring is performed on the communication channel to be repaired to obtain real-time monitoring data of the communication channel to be repaired; the real-time monitoring data of the communication channel to be repaired is monitored through a preset data detection model; when the result output by the data detection model is that the radio frequency signal is qualified, the communication channel to be repaired is modified to be qualified as the radio frequency signal; feature extraction is performed on the data information received from the communication channel to be detected to obtain data features of the communication channel to be detected; the data features of the communication channel to be detected are matched in a preset communication channel detection strategy library to obtain a detection strategy for the communication channel to be detected; Step S105, use the communication channel detection strategy to be detected to detect the communication channel data to be detected, obtain the error data detection result of the communication channel to be detected, substitute the error data detection result of the communication channel to be detected into the preset communication channel data repair strategy library for matching, obtain the communication channel data repair strategy corresponding to the error data detection result of the communication channel to be detected, use the communication channel data repair strategy corresponding to the error data detection result of the communication channel to be detected to repair the error data of the communication channel to be detected, obtain the repaired data of the communication channel to be detected, and monitor the repaired data of the communication channel to be detected through the preset data detection model. When the result output by the data detection model is that the RF signal is qualified, the communication channel to be detected is modified to be qualified as the RF signal, and the qualified RF signal data is transmitted to the RF switch control model for data processing to obtain the RF switch control instruction, and the RF switch control instruction is sent to the execution device end.

7. The intelligent radio frequency switch control method according to claim 6, characterized in that: The step S103 includes: The process of constructing the data detection model is to obtain the historical data of RF switch control as the sample data of the data detection model. The sample data of the data detection model includes the signal characteristics of different devices, the signal transmission conditions of different devices and the historical transmission information of different devices. The signal processing technology is used to extract and classify the features of the sample data of the data detection model, identify the RF signals of different quality levels, and obtain the feature classification results of the sample data of the data detection model. The feature classification results of the sample data of the data detection model are used to train the deep learning model to obtain the data detection model.

8. The intelligent radio frequency switch control method according to claim 6, characterized in that: The step S104 includes: The construction process of the communication channel detection strategy library is to obtain the historical data of various communication channels and the real-time data of the communication channels, obtain the analysis data to be processed, the analysis data to be processed includes the frequency response, bit error rate and signal strength of the channel, perform feature extraction on the analysis data to be processed, obtain the communication channel feature extraction result, match the communication channel feature extraction result in the algorithm model library, obtain the algorithm model corresponding to the communication channel feature extraction result, obtain the algorithm model to be trained, use the communication channel feature extraction result to train the algorithm model to be trained, and obtain the communication channel detection strategy library; The communication channel detection strategy library includes: The communication channel detection strategy is analyzed in the time domain. The pulse shape detection, amplitude detection and duration detection are performed on the signal of the communication channel in the time domain. According to the results of the pulse shape detection, amplitude detection and duration detection, the algorithm model library is matched to obtain the repair strategy corresponding to the results of the pulse shape detection, amplitude detection and duration detection.

9. The intelligent radio frequency switch control method according to claim 8, characterized in that: The step S104 includes: Randomly screen the data information received from the secure communication channel to obtain a randomly screened data group, recalculate the hash value of the data in the randomly screened data group to obtain a hash value corresponding to the randomly screened data group, and compare the hash value corresponding to the randomly screened data group with the original hash value stored on the blockchain; If the hash value corresponding to the randomly screened data group is consistent with the original hash value stored on the blockchain, the data has not been tampered with and can be used safely; If the hash value corresponding to the randomly screened data group is inconsistent with the original hash value stored on the blockchain, an alarm mechanism is triggered that the data has been tampered with.

10. The intelligent radio frequency switch control method according to claim 6, characterized in that: The step S105 includes: Receive the repaired RF signal qualified data, input the repaired RF signal qualified data into a preset RF switch control model, the preset RF switch control model accurately calculates and outputs the corresponding RF switch control instructions based on the input data, and sends the RF switch control instructions to the execution device end, which includes the RF switch and the communication equipment.

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