High-speed low-delay distribution network three-remote system and method based on 1.4 GHz wireless communication

Abstract

The invention relates to the technical field of wireless distribution network control, in particular to a high-speed low-delay distribution network three-remote system and method based on 1.4 GHz wireless communication, and the system comprises a channel management and distribution module which is based on a 1.4 GHz frequency band, reads the channel bandwidth utilization rate and interference level, counts the occupied time, divides the frequency band, and adjusts the frequency reuse proportion; and allocating a transmission frequency, optimizing spectrum allocation according to a bandwidth requirement and a transmission rate, and generating a channel frequency configuration table. According to the invention, by dynamically adjusting the frequency reuse proportion and allocating the transmission path frequency, the utilization rate of frequency spectrum resources is improved, the overload phenomenon of a channel is reduced, the high efficiency and stability of communication are ensured, and the overall transmission quality is improved by detecting interference signals and frequency spectrum fluctuation in real time, optimizing the signal transmission state and avoiding signal interference. The path interference risk is analyzed in advance through fast Fourier transform, potential transmission interruption is avoided, the stability of data transmission is ensured, and data loss is reduced.

Description

Technical Field

[0001] The present invention relates to the field of wireless distribution network control technology, and in particular to a high-speed, low-latency distribution network three-remote control system and method based on 1.4 GHz wireless communication. Background Art

[0002] The field of wireless distribution network control technology aims to achieve remote monitoring, telemetry and remote control of the power distribution network through wireless communication technology. Without the need for wired connection, the distribution equipment can be efficiently connected to the control center to conduct real-time data collection, transmission and remote operation, thereby improving the automation and intelligence level of the distribution system.

[0003] The high-speed, low-latency distribution network three-remote control system based on 1.4GHz wireless communication aims to improve the operating efficiency and reliability of the distribution network. Through high-speed, low-latency wireless communication, it can realize remote monitoring, telemetry and remote control functions of distribution equipment, and transmit equipment data in the distribution network in real time, so that the control center can obtain the operating status of the power grid in time and perform effective control and scheduling according to actual conditions.

[0004] Traditional wireless distribution network systems use fixed frequency band allocation in channel management and are unable to dynamically adjust the spectrum, resulting in low frequency resource utilization, overload of some channels and idleness of some channels, affecting overall communication efficiency. Signal interference and spectrum fluctuations cannot be effectively monitored and adjusted in real time in traditional systems, which may lead to interruption or increased delay of data transmission, affecting the real-time and reliability of the system. At the same time, the lack of a caching mechanism causes data loss during switching, and the integrity and continuity of data transmission cannot be guaranteed. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and propose a high-speed, low-latency distribution network three-remote control system and method based on 1.4GHz wireless communication.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: A high-speed, low-latency distribution network remote control system based on 1.4GHz wireless communication includes:

[0007] Channel management and allocation module: Based on the 1.4GHz frequency band requirements, read the bandwidth utilization rate and interference level of each channel, count the occupancy time of each channel, divide the frequency band, adjust the frequency reuse ratio of each channel, allocate the transmission path frequency, and optimize the spectrum segmentation and allocation structure based on the actual bandwidth requirements and transmission rate of each channel to obtain the channel frequency configuration table;

[0008] Multi-path dynamic selection module: Based on the channel frequency configuration table, analyze the channel bandwidth data and stability parameters, read the path delay and signal strength, compare the transmission performance path by path, calculate the signal attenuation of the path, evaluate the feasible path in combination with the stability, select multiple priority paths, and make dynamic adjustments to establish a dynamic path priority list;

[0009] Signal monitoring and adjustment module: Based on the dynamic path optimization list, the path frequency band occupancy is detected in real time, the interference amplitude and spectrum fluctuation of each path are monitored, and the signal anomalies of each path are analyzed. By detecting frequency fluctuations and interference signal changes, the spectrum configuration of the signal is adjusted one by one according to the spectrum occupancy, the signal transmission status of the path is optimized, and the spectrum adjustment configuration is obtained;

[0010] Path optimization and switching module: Based on the spectrum adjustment configuration and the dynamic path optimization list, fast Fourier transform is used to analyze the transmission stability of the current path, and potential interference risks are judged in advance by evaluating the interference conditions of each path and historical transmission data. Paths with lower interference are preferentially selected for fast switching to maintain the stability of data transmission and generate a path switching execution plan;

[0011] Cache management and switching module: Based on the path switching execution scheme, a dual cache structure is used for data synchronization, the main path data is read in real time for caching, and the cache data is called through the backup path at the same time. When the main path is interrupted, it is quickly switched to the backup path, and the cache data is used to compensate for the lost part and obtain the cache transmission record;

[0012] Layered data transmission module: Based on the cached transmission records, read the transmission status, prioritize the data flows of each layer, prioritize the important data and perform layered processing, call the multi-thread mechanism to synchronize high-priority data, delay the processing of secondary data flows, realize parallel transmission, and obtain a layered data transmission structure;

[0013] Bandwidth resource balancing module: Based on the hierarchical data transmission structure and the path switching execution plan, the transmission volume of each path is monitored in real time, and the bandwidth sharing of each path is adjusted by reading the path bandwidth occupancy data and analyzing the current load situation. The frequency band occupancy ratio is adjusted through multi-path allocation to form a bandwidth adjustment configuration.

[0014] As a further solution of the present invention, the channel frequency configuration table also includes an adjusted frequency reuse ratio, a frequency allocation table of the transmission path and an optimized spectrum segmentation structure; the dynamic path preference list also includes signal attenuation data of each path, stability assessment results and a priority path selection list; the spectrum adjustment configuration also includes a signal anomaly analysis report and path signal optimization suggestions; the path switching execution plan also includes a potential interference risk prediction and a priority switching path list; the cache transmission record also includes a real-time data synchronization status and a data recovery record after switching; the hierarchical data transmission structure also includes a secondary data stream processing plan and a parallelized transmission process; the bandwidth adjustment configuration also includes a frequency band occupancy ratio adjustment plan and a multi-path bandwidth sharing configuration.

[0015] As a further solution of the present invention, the channel management and allocation module includes a frequency band demand analysis submodule, a channel bandwidth optimization submodule, and a frequency path allocation submodule, wherein:

[0016] Frequency band demand analysis submodule: Based on the 1.4GHz frequency band demand, read the current bandwidth utilization rate of each channel, record the interference level of each channel by detecting the frequency and amplitude of the interference signal, analyze the occupancy time of the channel in a given time period, obtain the frequency band division and utilization, and obtain the channel frequency band occupancy analysis data;

[0017] Channel bandwidth optimization submodule: Based on the channel frequency band occupancy analysis data, the frequency reuse ratio is adjusted channel by channel, and the frequency band segmentation structure is reconfigured by calculating the transmission rate requirement in combination with the actual bandwidth occupancy rate of each channel, and the bandwidth is reallocated to obtain the frequency band optimization configuration table;

[0018] Frequency path allocation submodule: Based on the frequency band optimization configuration table, allocate the transmission path frequency, confirm the frequency interval between channels through spectrum scanning, dynamically adjust the frequency allocation strategy based on channel utilization and bandwidth requirements, and establish a channel frequency configuration table.

[0019] As a further solution of the present invention, the multi-path dynamic selection module includes a channel data analysis submodule, a path performance calculation submodule, and a dynamic path adjustment submodule, wherein:

[0020] Channel data analysis submodule: based on the channel frequency configuration table, analyzes the utilization data and stability parameters of each channel bandwidth, identifies the transmission characteristics of each path by reading the delay characteristics of the path and measuring the signal strength, and obtains the channel transmission stability data;

[0021] Path performance calculation submodule: based on the channel transmission stability data, compare the transmission signal strength of each path path by path, calculate the signal attenuation and signal distortion, analyze the stability parameters, evaluate the overall transmission quality of the path, and obtain the path signal performance evaluation result;

[0022] Dynamic path adjustment submodule: Based on the path signal performance evaluation results, combined with the stability parameters of each path, through real-time monitoring of the path status, adjust the priority path selection strategy, comprehensively select the dynamic characteristics of multiple paths, and establish a dynamic path priority list.

[0023] As a further solution of the present invention, the signal monitoring and adjustment module includes a path frequency band monitoring submodule, a signal spectrum adjustment submodule, and a transmission state optimization submodule, wherein:

[0024] Path frequency band monitoring submodule: Based on the dynamic path optimization list, perform real-time detection of path frequency bands, read the current frequency occupancy by scanning the frequency bands of each path, and monitor the interference signal amplitude of each path in real time. By comparing the spectrum fluctuations in different time periods, analyze the abnormal signal characteristics of each path, and obtain the path frequency band abnormality monitoring results;

[0025] Signal spectrum adjustment submodule: Based on the abnormal frequency band monitoring results of the path, the spectrum configuration is adjusted by detecting frequency fluctuations and interference signal changes one by one, the frequency range of each signal is dynamically modified according to the monitored real-time frequency band status, and the overlapping frequency bands are optimally allocated to generate a spectrum adjustment configuration table;

[0026] Transmission status optimization submodule: Based on the spectrum adjustment configuration table and in combination with the dynamic path preference list, the spectrum configuration is adjusted by real-time evaluation of the signal transmission parameters of each path to match the transmission requirements of the current path, the signal strength and transmission rate of each path are detected, and the signal configuration status is dynamically optimized to obtain the spectrum adjustment configuration.

[0027] As a further solution of the present invention, the path optimization and switching module includes a transmission stability evaluation submodule, an interference risk prediction submodule, and a preferred path switching submodule, wherein:

[0028] Transmission stability evaluation submodule: Based on the spectrum adjustment configuration and the dynamic path optimization list, the signal transmission performance of the current path is analyzed by fast Fourier transform, and the interference level of each path is evaluated by detecting signal strength, delay and packet loss rate. The transmission data at different time points are comprehensively analyzed to obtain the path transmission stability evaluation result;

[0029] Interference risk prediction submodule: Based on the path transmission stability assessment result and in combination with historical transmission data, the potential interference sources of each path are judged in advance by analyzing the frequency and amplitude fluctuations of the interference signal, and the path interference risk prediction result is obtained by performing distribution analysis on the timing characteristics of the interference signal;

[0030] Preferred path switching submodule: Based on the path interference risk prediction result and in combination with the current dynamic path preference list, a low-interference path is selected to perform transmission switching, the transmission path selection priority is adjusted, and the transmission path allocation strategy is reconfigured to generate a path switching execution plan.

[0031] As a further solution of the present invention, the fast Fourier transform is according to the formula:

[0032]

[0033] Where: X′(k) is the improved frequency domain signal, w(t) is the time window function, x(n) is the time domain signal, e -j·2π·k·n / N is the core exponential factor of Fourier transform, j is the imaginary unit, 2π is a constant, k is the frequency number, n is the number of sampling points, N is the number of sampling points, k is the frequency number, α is the signal strength correction coefficient, and β(n) is the interference correction function.

[0034] As a further solution of the present invention, the cache management and switching module includes a data cache synchronization submodule, a backup path calling submodule, and a cache compensation switching submodule, wherein:

[0035] Data cache synchronization submodule: Based on the path switching execution scheme, the main path data is read in real time, the transmission data of the main path is continuously acquired by the data acquisition module, and the data is written into two independent cache areas respectively through the double cache structure, and the content consistency of the two cache areas is regularly compared to ensure the synchronization integrity of the data and generate real-time cache data records;

[0036] The standby path calling submodule: based on the real-time cache data record, by detecting the idle state of the standby path, regularly reads data fragments from the main cache, transmits them on the standby path, monitors the integrity of the transmitted data and verifies the correctness of the data content, and if an abnormality occurs, recalls the cache data for repair and obtains the standby cache calling state;

[0037] Cache compensation switching submodule: Based on the backup cache call status, when the main path transmission interruption is detected, it quickly switches to the backup path to continue data transmission, reads the data fragments in the real-time cache, and compensates for the lost data fragments during the main path interruption one by one, ensuring continuous data flow output and obtaining cache transmission records.

[0038] As a further solution of the present invention, the layered data transmission module includes a data priority classification submodule, a multi-threaded high priority synchronization submodule, and a secondary data delay submodule, wherein:

[0039] Data priority classification submodule: Based on the cache transmission record, the transmission status of each data stream is read in real time, and by analyzing the attributes and content of the data packet, the key data stream is assigned to the high priority layer according to priority, and the data is secondary classified at the same time, and a multi-level priority data structure is formed to obtain a data priority classification table;

[0040] Multi-threaded high-priority synchronization submodule: Based on the data priority classification table, multi-thread processing is performed on high-priority data streams, and each high-priority data packet is gradually synchronized using an independent channel. By allocating independent threads to perform high-priority transmission tasks, parallel synchronous transmission of key data streams in high-priority channels is ensured, and high-priority data synchronization status is obtained;

[0041] Secondary data delay submodule: Based on the high-priority data synchronization state, delay buffering is performed on the secondary data stream, and the secondary data is cached and scheduled for transmission by configuring the delay processing channel. A sequential transmission mechanism is used to ensure that each secondary data packet is output in order. At the same time, flow control is performed to match the synchronization state of the high-priority data to obtain a layered data transmission structure.

[0042] As a further solution of the present invention, the bandwidth resource balancing module includes a transmission volume monitoring submodule, a bandwidth load adjustment submodule, and a frequency band sharing configuration submodule, wherein:

[0043] Transmission volume monitoring submodule: Based on the hierarchical data transmission structure and the path switching execution scheme, the transmission volume of each path is monitored in real time, the bandwidth occupancy rate of each path is collected, the transmission data volume of each path is continuously recorded, and the real-time load status of each path is compared, load fluctuations are identified, path status is classified, and path bandwidth occupancy status is generated;

[0044] Bandwidth load adjustment submodule: Based on the bandwidth occupancy status of the path, analyze the load change path by path, calculate the real-time bandwidth demand of each path, dynamically adjust the bandwidth allocation ratio, reallocate resources, reduce the bandwidth occupancy of the high-load path, and allocate the adjusted excess bandwidth to the low-load path to obtain the bandwidth load adjustment result;

[0045] Frequency band sharing configuration submodule: Based on the bandwidth load adjustment result, the frequency band allocation of each path is reconfigured through the frequency band adjustment module, the frequency band usage ratio of each path is adjusted, and the frequency band sharing between paths is re-divided to ensure the effective use of bandwidth resources and form a bandwidth adjustment configuration.

[0046] A high-speed, low-latency distribution network three-remote control method based on 1.4 GHz wireless communication, wherein the high-speed, low-latency distribution network three-remote control method based on 1.4 GHz wireless communication is executed based on the above-mentioned high-speed, low-latency distribution network three-remote control system based on 1.4 GHz wireless communication, and comprises the following steps:

[0047] Step 1: Based on the 1.4 GHz frequency band requirements, perform channel bandwidth usage statistics, read the interference frequency and amplitude of each channel, analyze the channel occupancy time, divide the frequency band, adjust the multiplexing ratio of each channel, calculate the frequency allocation of the transmission path, confirm the interval between channels through spectrum scanning, and establish a channel frequency configuration table;

[0048] Step 2: Based on the channel frequency configuration table, analyze the channel bandwidth and stability parameters of each path, read the delay and signal strength of the path, calculate the signal attenuation of each path, evaluate the transmission quality of the path by comparing the data of each path, and adjust the path optimization strategy in combination with dynamic characteristics to form a dynamic path optimization list;

[0049] Step 3: Based on the dynamic path optimization list, the frequency band occupancy of each path is detected in real time, the interference signal amplitude and spectrum fluctuation of each path are read, the abnormal signal characteristics are identified, and the spectrum configuration of the signal is adjusted one by one by comparing the spectrum changes in multiple time periods, and the overlapping frequency bands are optimized and allocated to complete the adjustment of the signal transmission state, and generate the spectrum adjustment configuration;

[0050] Step 4: Based on the spectrum adjustment configuration, the signal strength and delay data are used to analyze the transmission stability of the path, and the interference characteristics are identified in combination with historical data. By gradually analyzing the frequency and amplitude fluctuations of the signal, potential interference sources are predicted in advance, and low-interference paths are selected in real time to switch transmission, adjust path priorities, and reconfigure frequency allocation to generate a path switching execution plan;

[0051] Step 5: Based on the path switching execution scheme, read the transmission data of the main path, use the double buffer structure to synchronize the data in real time, write the transmission content into two buffer areas respectively, compare the consistency of the buffer content regularly, check the idle state of the backup path, and when the main path is interrupted, call the buffer content in the backup path to complete data compensation and obtain the buffer transmission record;

[0052] Step 6: Based on the cache transmission record and the real-time transmission volume of the path, the bandwidth occupancy data of each path is read, the current load situation is analyzed, the bandwidth of the high-load path is adjusted, and the excess bandwidth is reallocated to the low-load path, and the bandwidth allocation ratio of each path is optimized to form a bandwidth adjustment configuration.

[0053] Compared with the prior art, the advantages and positive effects of the present invention are:

[0054] 1. In the present invention, by dynamically adjusting the frequency reuse ratio and allocating the transmission path frequency, the utilization rate of spectrum resources is improved, the overload of channels is reduced, and the efficiency and stability of communication are ensured;

[0055] 2. In the present invention, by analyzing the delay and signal strength of the path in real time, calculating the signal attenuation of the path, and dynamically selecting the best path based on the stability of the transmission performance, the continuity and low delay of data transmission are ensured;

[0056] 3. In the present invention, by detecting interference signals and spectrum fluctuations in real time, the signal transmission state is optimized, signal interference is avoided, and the overall transmission quality is improved;

[0057] 4. In the present invention, the risk of path interference is analyzed in advance by fast Fourier transform, so as to avoid potential transmission interruption, ensure the stability of data transmission and reduce data loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 is a system flow chart of the present invention;

[0059] Figure 2 It is a schematic diagram of the system framework of the present invention;

[0060] Figure 3 It is a schematic diagram of the method steps of the present invention. DETAILED DESCRIPTION

[0061] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0062] Embodiment 1

[0063] See also Figure 1 The present invention provides a technical solution: a high-speed, low-latency distribution network three-remote control system based on 1.4GHz wireless communication includes:

[0064] Channel management and allocation module: Based on the 1.4GHz frequency band requirements, read the bandwidth utilization rate and interference level of each channel, count the occupancy time of each channel, divide the frequency band, adjust the frequency reuse ratio of each channel, allocate the transmission path frequency, and optimize the spectrum segmentation and allocation structure based on the actual bandwidth requirements and transmission rate of each channel to obtain the channel frequency configuration table;

[0065] Multi-path dynamic selection module: Based on the channel frequency configuration table, it analyzes the channel bandwidth data and stability parameters, reads the path delay and signal strength, compares the transmission performance path by path, calculates the signal attenuation of the path, evaluates the feasible path in combination with the stability, selects multiple priority paths, makes dynamic adjustments, and establishes a dynamic path priority list;

[0066] Signal monitoring and adjustment module: Based on the dynamic path optimization list, it detects the path frequency band occupancy in real time, monitors the interference amplitude and spectrum fluctuation of each path, analyzes the signal anomalies of each path, detects frequency fluctuations and interference signal changes, and adjusts the spectrum configuration of the signal one by one according to the spectrum occupancy, optimizes the signal transmission status of the path, and obtains the spectrum adjustment configuration;

[0067] Path optimization and switching module: Based on spectrum adjustment configuration and dynamic path optimization list, fast Fourier transform is used to analyze the transmission stability of the current path. By evaluating the interference situation of each path and historical transmission data, potential interference risks can be judged in advance. By giving priority to the path with lower interference for fast switching, the stability of data transmission is maintained and a path switching execution plan is generated.

[0068] Cache management and switching module: Based on the path switching execution scheme, a dual cache structure is used for data synchronization, and the main path data is read in real time for caching. At the same time, the cache data is called through the backup path. When the main path is interrupted, it quickly switches to the backup path and uses the cache data to compensate for the lost part and obtain the cache transmission record.

[0069] Layered data transmission module: Based on the cached transmission records, the transmission status is read, and the priority of each layer of data flow is classified. The important data is scheduled first and processed in layers. At the same time, the multi-thread mechanism is called to synchronize high-priority data, delay the processing of secondary data flow, realize parallel transmission, and obtain a layered data transmission structure;

[0070] Bandwidth resource balancing module: Based on the hierarchical data transmission structure and path switching execution plan, it monitors the transmission volume of each path in real time, reads the path bandwidth occupancy data, analyzes the current load situation, adjusts the bandwidth sharing of each path, adjusts the frequency band occupancy ratio through multi-path allocation, and forms a bandwidth adjustment configuration.

[0071] The channel frequency configuration table also includes the adjusted frequency reuse ratio, the frequency allocation table of the transmission path and the optimized spectrum segmentation structure. The dynamic path priority list also includes the signal attenuation data of each path, the stability assessment results and the priority path selection list. The spectrum adjustment configuration also includes the signal anomaly analysis report and the path signal optimization suggestions. The path switching execution plan also includes the potential interference risk prediction and the priority switching path list. The cache transmission record also includes the real-time data synchronization status and the data recovery record after switching. The hierarchical data transmission structure also includes the secondary data stream processing plan and the parallel transmission process. The bandwidth adjustment configuration also includes the frequency band occupancy ratio adjustment plan and the multi-path bandwidth sharing configuration.

[0072] See also Figure 2 The channel management and allocation module includes a frequency band demand analysis submodule, a channel bandwidth optimization submodule, and a frequency path allocation submodule, among which:

[0073] Frequency band demand analysis submodule: Based on the 1.4GHz frequency band demand, read the current bandwidth utilization rate of each channel, record the interference level of each channel by detecting the frequency and amplitude of the interference signal, analyze the occupancy time of the channel in a given time period, obtain the frequency band division and utilization, and obtain the channel frequency band occupancy analysis data;

[0074] Channel bandwidth optimization submodule: Based on the channel frequency band occupancy analysis data, the frequency reuse ratio is adjusted channel by channel. Combined with the actual bandwidth occupancy of each channel, the frequency band segmentation structure is reconfigured by calculating the transmission rate requirements, and the bandwidth is reallocated to obtain the frequency band optimization configuration table.

[0075] Frequency path allocation submodule: Based on the frequency band optimization configuration table, the transmission path frequency is allocated, the frequency interval between channels is confirmed through spectrum scanning, the frequency allocation strategy is dynamically adjusted based on the channel utilization and bandwidth requirements, and the channel frequency configuration table is established;

[0076] Frequency band demand analysis submodule: Based on the 1.4GHz frequency band demand, the spectrum analysis method is used to read the current bandwidth utilization rate of each channel, analyze the signal spectrum, obtain the frequency components, and use a sampling rate of 10kHz to calculate the main frequency distribution of the interference signal in each channel. The frequency of the interference signal with a frequency range of 1kHz to 5kHz is detected. The amplitude of each interference signal is recorded through the amplitude analysis method. The amplitude range is set between 0.1 and 10V. Combined with the channel main frequency bandwidth, the interference level of each channel is analyzed. Then, the sliding time window method is used to count the channel duration. The time window is set to 1 second. The occupation time of each channel in the time window is recorded. Combined with the signal frequency and duration data, the frequency band division and utilization are obtained to generate channel frequency band occupancy analysis data;

[0077] Channel bandwidth optimization submodule: Based on the channel frequency band occupancy analysis data, a dynamic frequency reuse algorithm is used to adjust the frequency reuse ratio of each channel. Specifically, the frequency reuse ratio adjustment parameters are set according to the actual occupancy time and interference amplitude of each channel. The reuse ratio range is between 0.1 and 0.9. Combined with the bandwidth occupancy rate of each channel, a frequency segmentation algorithm is used to reconfigure the frequency band structure. The operation includes dividing the bandwidth of each channel, and the frequency band segmentation step is set to 100Hz. The bandwidth is redistributed by calculating the transmission rate requirements of each channel. The transmission rate requirements are set to between 10Mbps and 100Mbps according to the equipment data standard. Bandwidth allocation is dynamically adjusted in combination with high transmission demand channels first, and the configuration is updated in combination with the adjustment parameters to generate a frequency band optimization configuration table;

[0078] Frequency path allocation submodule: Based on the frequency band optimization configuration table, a multi-spectrum scanning method is used to allocate the transmission path frequency. The operation is to detect the channel frequency interval through the spectrum scanning function. The frequency interval detection step is set to 50Hz, and the scanning frequency band range is 1GHz to 1.5GHz. Combined with the frequency band frequency utilization data, the Bayesian optimization algorithm is used to dynamically adjust the frequency allocation strategy, and the initial frequency allocation range is set to 100MHz to 300MHz. Combined with the path signal strength data, the optimal frequency configuration of each path is calculated to generate a channel frequency configuration table.

[0079] See also Figure 2 The multi-path dynamic selection module includes a channel data analysis submodule, a path performance calculation submodule, and a dynamic path adjustment submodule, wherein:

[0080] Channel data analysis submodule: Based on the channel frequency configuration table, analyze the utilization data and stability parameters of each channel bandwidth, identify the transmission characteristics of each path by reading the delay characteristics of the path and measuring the signal strength, and obtain the channel transmission stability data;

[0081] Path performance calculation submodule: Based on the channel transmission stability data, the transmission signal strength of each path is compared path by path, the signal attenuation and signal distortion are calculated, and the stability parameters are analyzed to evaluate the overall transmission quality of the path and obtain the path signal performance evaluation result;

[0082] Dynamic path adjustment submodule: Based on the path signal performance evaluation results and combined with the stability parameters of each path, the priority path selection strategy is adjusted by real-time monitoring of the path status, and the dynamic characteristics of multiple paths are comprehensively selected to establish a dynamic path optimization list;

[0083] Channel data analysis submodule: Based on the channel frequency configuration table, the data acquisition algorithm is used to analyze the utilization data and stability parameters of each channel bandwidth. First, the real-time bandwidth usage data of each channel is extracted, and the bandwidth acquisition frequency is set to 1Hz. The Kalman filter algorithm is used to filter the noise data. The filter parameters include the measurement error covariance matrix Q and the estimation error covariance matrix R, which are set to 0.01 and 0.1 respectively. Then, the delay characteristics of the path are read. The delay data is collected using a sliding window method with a window size set to 5 seconds. The signal loss of the path is calculated by measuring the signal strength. The signal strength sampling frequency is set to 1kHz. The changes in the signal amplitude between 0.1V and 10V are recorded. The transmission characteristics of each path are identified by combining the bandwidth and signal data to generate channel transmission stability data.

[0084] Path performance calculation submodule: Based on the channel transmission stability data, the signal strength of each path is compared path by path using a signal processing algorithm, the signal attenuation rate is calculated, and the strength data is processed using an exponential average filter algorithm. The filter parameter α is set to 0.8, and the signal amplitude change rate of each path is compared. Then, the signal distortion is calculated. The distortion degree is calculated using a harmonic distortion analysis method. The analysis frequency range is set to 1kHz to 5kHz. The percentage of the harmonic component in the total signal amplitude is used for calculation. Combined with the path stability parameters, the overall transmission quality of each path is evaluated to generate the path signal performance evaluation results.

[0085] Dynamic path adjustment submodule: Based on the path signal performance evaluation results, an adaptive path selection algorithm is used, combined with the stability parameters of each path, to adjust the priority path, monitor the path status in real time, set the path status refresh interval to 1 second, monitor the signal strength change rate and bandwidth occupancy rate, analyze the change trend of the path signal through the Bayesian estimation method of signal strength, adjust the priority path selection strategy, integrate the dynamic characteristics of multiple paths, compare the signal strength changes and transmission delays, perform path optimization operations, and generate a dynamic path optimization list.

[0086] See also Figure 2 The signal monitoring and adjustment module includes a path frequency band monitoring submodule, a signal spectrum adjustment submodule, and a transmission state optimization submodule, wherein:

[0087] Path frequency band monitoring submodule: Based on the dynamic path optimization list, the path frequency band is detected in real time. By scanning the frequency bands of each path, the current frequency occupancy is read, and the interference signal amplitude of each path is monitored in real time. By comparing the spectrum fluctuations in different time periods, the abnormal signal characteristics of each path are analyzed to obtain the path frequency band abnormality monitoring results;

[0088] Signal spectrum adjustment submodule: Based on the abnormal monitoring results of the path frequency band, the spectrum configuration is adjusted by detecting frequency fluctuations and interference signal changes one by one. The frequency range of each signal is dynamically modified according to the real-time frequency band status monitored, and the overlapping frequency bands are optimized and allocated to generate a spectrum adjustment configuration table.

[0089] Transmission status optimization submodule: Based on the spectrum adjustment configuration table and the dynamic path optimization list, the signal transmission parameters of each path are evaluated in real time to adjust the spectrum configuration to match the transmission requirements of the current path, detect the signal strength and transmission rate of each path, and dynamically optimize the signal configuration status to obtain the spectrum adjustment configuration.

[0090] Path frequency band monitoring submodule: Based on the dynamic path optimization list, the spectrum scanning algorithm is used to perform real-time detection of the path frequency band. The specific operation is to read the occupancy of the current frequency band of each path through the spectrum scanning tool, set the spectrum scanning frequency to 1 time per second, and the scanning frequency band range to 1GHz to 1.5GHz. By reading the frequency occupancy status of each path, combined with the path frequency usage history data, and comparing the spectrum fluctuations in different time periods, the amplitude analysis algorithm is used to detect the signal interference amplitude. The amplitude range of the interference signal is set to between 0.1V and 10V. Combined with the signal strength of each path, the abnormal signal characteristics are analyzed to generate the path frequency band abnormality monitoring results;

[0091] Signal spectrum adjustment submodule: Based on the abnormal monitoring results of the path frequency band, the frequency adaptive adjustment algorithm is used to detect the frequency fluctuation and interference signal changes of each signal one by one. The frequency fluctuation detection algorithm sets the step size to 50Hz. By calculating the change amplitude of the current signal frequency, the signal frequency range is updated in real time. Combined with the detected spectrum status, the spectrum reuse algorithm is used to optimize the allocation of overlapping frequency bands. The spectrum reuse ratio set in the allocation algorithm is adjusted to between 0.3 and 0.7 according to the current bandwidth demand. The frequency reuse ratio of each channel is dynamically updated to generate a spectrum adjustment configuration table;

[0092] Transmission status optimization submodule: Based on the spectrum adjustment configuration table, it adopts the signal transmission dynamic optimization algorithm, combined with the dynamic path optimization list, and evaluates the signal transmission parameters of each path in real time. The operation includes detecting the signal strength and transmission rate once per second, the signal strength sampling frequency is set to 1kHz, and the transmission rate monitoring range is set to between 10Mbps and 100Mbps. According to the current transmission demand of each path, the signal spectrum configuration is dynamically adjusted, bandwidth resources are allocated preferentially for paths with high transmission demand, and the spectrum adjustment configuration is generated.

[0093] See also Figure 2 The path optimization and switching module includes a transmission stability assessment submodule, an interference risk prediction submodule, and a preferred path switching submodule, wherein:

[0094] Transmission stability assessment submodule: Based on the spectrum adjustment configuration and the dynamic path optimization list, the fast Fourier transform is used to analyze the signal transmission performance of the current path. By detecting the signal strength, delay and packet loss rate, the interference level of each path is evaluated. Combined with the comprehensive analysis of the transmission data at different time points, the path transmission stability assessment result is obtained;

[0095] Interference risk prediction submodule: Based on the path transmission stability assessment results and combined with historical transmission data, the potential interference sources of each path are determined in advance by analyzing the frequency and amplitude fluctuations of the interference signal. The path interference risk prediction results are obtained by performing distribution analysis on the timing characteristics of the interference signal.

[0096] Optimal path switching submodule: Based on the path interference risk prediction results and the current dynamic path optimization list, it selects a low-interference path to perform transmission switching, adjusts the selection priority of the transmission path, reconfigures the transmission path allocation strategy, and generates a path switching execution plan;

[0097] Transmission stability assessment submodule: Based on the spectrum adjustment configuration and dynamic path optimization list, the fast Fourier transform algorithm is used to analyze the signal transmission performance. Specifically, the signal data of the current path is converted into the frequency domain, the sampling frequency is set to 10kHz, the main frequency component and interference frequency of the signal are extracted, and the interference component is analyzed by comparing the frequency domain amplitude of the signal. Then, the signal strength is detected, and the amplitude range of the strength detection is set to 0.1V to 10V. The signal attenuation rate is calculated, and the transmission delay data is read at the same time. The delay is calculated using the timestamp difference method. The time accuracy of the delay measurement is in the millisecond level. The packet loss rate is measured through the network monitoring tool, and the sampling window is set to 10 seconds. Combined with the signal and transmission data at different time points, the interference level of the current path is comprehensively analyzed to generate the path transmission stability assessment result;

[0098] Interference risk prediction submodule: Based on the path transmission stability assessment results and combined with historical transmission data, the frequency and amplitude fluctuations of the interference signal are analyzed using a timing analysis algorithm. Specifically, the changes of the interference signal in different time periods are detected by a frequency tracking method. The frequency tracking time interval is set to 1 second. The amplitude fluctuation detection is performed by an amplitude calculation method. The detection interval of the interference amplitude is set to between 0.1V and 5V. The autoregressive model is used to analyze the timing characteristics of the interference signal, extract the periodicity and trend parameters of the signal change, and combine the distribution characteristics of the interference signal to determine the potential interference sources of each path in advance and generate the path interference risk prediction results.

[0099] Preferred path switching submodule: Based on the path interference risk prediction results and combined with the current dynamic path optimization list, a multi-path switching algorithm is used to select a low-interference path for transmission switching, and the priority parameters for path selection are set. The priority setting range is 1 to 10. Through real-time monitoring of signal interference intensity and path bandwidth, the selection priority of the transmission path is dynamically adjusted. The path allocation strategy is reconfigured in combination with real-time transmission requirements to generate a path switching execution plan.

[0100] See also Figure 2 , fast Fourier transform, according to the formula:

[0101]

[0102] Where: X′(k) is the improved frequency domain signal, w(t) is the time window function, x(n) is the time domain signal, e -j·2π·k·n / Nis the core exponential factor of Fourier transform, j is the imaginary unit, 2π is a constant, k is the frequency number, n is the number of sampling points, N is the number of sampling points, k is the frequency number, α is the signal strength correction coefficient, and β(n) is the interference correction function;

[0103] Execution process: The input time domain signal x(n) is the signal sample collected through the transmission path. The number of sampling points N represents the total number of samples of the time domain signal. Then, the signal sample corresponding to each time n is transformed through the Fourier transform core exponential factor e -j·2π·k·n / N It is converted into frequency domain components, and each frequency component k is analyzed in the frequency domain. The time window function w(t) applies weights to the signal samples at each moment, and the most suitable window is selected to reduce the spectrum leakage phenomenon caused by the edge effect in the frequency domain signal. The signal strength correction coefficient α is used to compensate for the attenuation of the signal during transmission. The interference correction function β(n) adjusts the interference level at each time point according to each sampling point, dynamically compensates for the impact of external interference on the signal, and calculates the frequency domain signal X′(k).

[0104] See also Figure 2 The cache management and switching module includes a data cache synchronization submodule, a backup path calling submodule, and a cache compensation switching submodule, wherein:

[0105] Data cache synchronization submodule: Based on the path switching execution scheme, the main path data is read in real time, the data acquisition module is used to continuously obtain the transmission data of the main path, and the data is written into two independent cache areas through the double cache structure. The consistency of the contents of the two cache areas is compared regularly to ensure the synchronization integrity of the data and generate real-time cache data records;

[0106] Backup path calling submodule: Based on real-time cache data records, by detecting the idle state of the backup path, periodically read data fragments from the main cache, transmit them on the backup path, monitor the integrity of the transmitted data and verify the correctness of the data content. If an abnormality occurs, the cache data is called again for repair and the backup cache calling state is obtained;

[0107] Cache compensation switching submodule: Based on the backup cache call status, when the main path transmission is interrupted, it quickly switches to the backup path to continue data transmission, reads the data fragments in the real-time cache, and compensates for the lost data fragments during the main path interruption one by one, ensuring the continuous data flow output and obtaining the cache transmission record;

[0108] Data cache synchronization submodule: Based on the path switching execution scheme, the data acquisition module is used to continuously acquire the data transmitted on the main path. The specific operation is to set the data acquisition frequency to 1 second, write to two independent cache areas respectively through the double cache structure, and use the asynchronous writing method to write to the cache area. The size of the data fragment written each time is set to 512 bytes. The contents of the two cache areas are regularly compared for consistency, and the hash check algorithm is used to check the data consistency. The SHA-256 algorithm is used to generate hash values. The hash value comparison is set every 5 seconds. If the hash values ​​of the two cache areas are inconsistent, data repair is performed. The erroneous data in the cache is repaired through the rewrite mechanism to generate real-time cache data records;

[0109] Backup path calling submodule: Based on real-time cache data records, an idle detection algorithm is used to monitor the backup path status. The detection interval is set to 5 seconds to detect the transmission status of the backup path. If the backup path is in an idle state, the data segment is read from the main cache for transmission. The size of the data segment is set to 512 bytes. During the transmission process, the integrity of the transmitted data is detected by the CRC check algorithm. The CRC check polynomial is set to the standard CRC-32, and data verification is performed on the backup path. If an abnormality occurs during the transmission process, the cache data is re-called for repair. The repair operation is performed through the retransmission mechanism. The cache data is read again and resent to obtain the backup cache calling status;

[0110] Cache compensation switching submodule: Based on the backup cache call status, when the main path transmission is interrupted, a fast switching algorithm is used to switch to the backup path to continue transmitting data. The switching delay is set to 100 milliseconds. After the switch is completed, data fragments are read one by one from the real-time cache, and a sequential reading mode is used to compensate for the lost data during the main path interruption one by one. The data fragment size is set to 512 bytes. During the compensation process, an integrity check is performed each time the data is read, and a hash check algorithm is used to check the consistency of the data fragments, and finally a cache transmission record is generated.

[0111] See also Figure 2 ,The layered data transmission module includes a data priority classification submodule, a multi-threaded high-priority synchronization submodule, and a secondary data delay submodule, among which:

[0112] Data priority classification submodule: Based on the cache transmission records, it reads the transmission status of each data stream in real time, and allocates key data streams to the high priority layer according to priority by analyzing the attributes and content of the data packets. At the same time, it performs secondary classification on the data and forms a multi-level priority data structure to obtain a data priority classification table;

[0113] Multi-threaded high-priority synchronization submodule: Based on the data priority classification table, multi-thread processing is performed on high-priority data streams, and each high-priority data packet is gradually synchronized using an independent channel. By allocating independent threads to perform high-priority transmission tasks, it ensures the parallel synchronous transmission of key data streams in high-priority channels and obtains high-priority data synchronization status;

[0114] Secondary data delay submodule: Based on the synchronization status of high-priority data, delay buffering is performed on the secondary data stream. The secondary data is cached and scheduled for transmission by configuring the delay processing channel. The sequential transmission mechanism is used to ensure that each secondary data packet is output in sequence. At the same time, flow control is performed to match the synchronization status of high-priority data to obtain a hierarchical data transmission structure.

[0115] Data priority classification submodule: Based on the cache transmission records, the data flow classification algorithm is used to read the transmission status of each data flow in real time. First, the attributes and content of the data packet are analyzed, and the classification standard of the data packet is set. The content is parsed based on the header information of the data packet, and the priority parameter range is set to 1 to 10. The key data flow is assigned according to the priority. The priority queue algorithm is used to assign high priority to the data flow. The key data with a priority of 7 to 10 is assigned to the high priority layer. At the same time, other data flows with lower priorities are secondary classified and assigned to the secondary layer with a priority of 1 to 6, generating a multi-level data priority classification table;

[0116] Multi-threaded high-priority synchronization submodule: Based on the data priority classification table, a multi-threaded scheduling algorithm is used to process high-priority data streams. Specifically, an independent thread is assigned to each high-priority data packet, and a thread pool mechanism is used to manage threads. The thread pool size is set to 10, and each thread is assigned a high-priority data packet for transmission. An independent channel is used for synchronous transmission, and the maximum waiting time of the thread is set to 500 milliseconds. The transmission status of each high-priority data packet is gradually synchronized through the thread scheduler, and the execution of each thread is monitored. The start and end time of the transmission are recorded to obtain the synchronization status of the high-priority data.

[0117] Secondary data delay submodule: Based on the high-priority data synchronization state, a delay buffer algorithm is used to perform delay processing on the secondary data stream. First, a delay buffer is allocated to the secondary data stream, and the buffer size is set to 100MB. The time interval of the delayed transmission is set to 2 seconds using a timer. The delay processing channel is configured to cache the secondary data in the channel. The secondary data packets are scheduled in sequence through a sequential transmission mechanism. The transmission rate of the flow controller is set to 10Mbps. The changes in the transmission rate are detected through the flow control module to ensure that the transmission rate of the secondary data stream matches the high-priority data synchronization state and generate a layered data transmission structure.

[0118] See also Figure 2The bandwidth resource balancing module includes a transmission volume monitoring submodule, a bandwidth load adjustment submodule, and a frequency band sharing configuration submodule, wherein:

[0119] Transmission volume monitoring submodule: Based on the hierarchical data transmission structure and path switching execution scheme, it monitors the transmission volume of each path in real time. By collecting the bandwidth occupancy rate of each path, it continuously records the transmission data volume of each path, compares the real-time load status of each path, identifies load fluctuations, classifies path status, and generates path bandwidth occupancy status;

[0120] Bandwidth load adjustment submodule: Based on the path bandwidth occupancy status, analyze the load changes path by path, calculate the real-time bandwidth demand of each path, dynamically adjust the bandwidth allocation ratio, reallocate resources, reduce the bandwidth occupancy of high-load paths, and allocate the adjusted excess bandwidth to low-load paths to obtain bandwidth load adjustment results;

[0121] Band sharing configuration submodule: Based on the bandwidth load adjustment result, the band allocation of each path is reconfigured through the band adjustment module, the band usage ratio of each path is adjusted, and the band sharing between paths is re-divided to ensure the effective use of bandwidth resources and form bandwidth adjustment configuration;

[0122] Transmission volume monitoring submodule: Based on the hierarchical data transmission structure and the path switching execution scheme, a real-time monitoring algorithm is used to monitor the transmission volume of each path. The specific operation is to use the bandwidth occupancy rate collection module to collect the bandwidth occupancy rate of each path once per second, and set the bandwidth collection range to 10Mbps to 1Gbps. By comparing the bandwidth usage of each path, the transmission data volume of each path is recorded in real time. The data volume unit is set to MB, and each collection cycle is set to 1 second. Combined with the load change of the path, the load analysis function is used to compare the real-time load status of each path. By calculating the instantaneous bandwidth occupancy change rate of each path, the path load fluctuation is identified, the path status is classified, and the path bandwidth occupancy status is generated;

[0123] Bandwidth load adjustment submodule: Based on the path bandwidth occupancy status, the bandwidth dynamic adjustment algorithm is used to analyze the load change situation path by path, and the bandwidth demand calculation formula for each path is set. The input parameters include the current bandwidth occupancy rate, the historical bandwidth change trend and the path priority. By gradually comparing the current and historical bandwidth occupancy rates, the real-time bandwidth demand of each path is calculated. The bandwidth adjustment step is set to 10Mbps, and the dynamic allocation function is used to reallocate the bandwidth. The occupancy of high-load paths is reduced by adjusting the bandwidth ratio. The weighted allocation method is used to reallocate excess bandwidth resources to low-load paths. The allocation weight is determined by the path priority and the historical load change rate, and the bandwidth load adjustment result is obtained.

[0124] Band sharing configuration submodule: Based on the bandwidth load adjustment result, the band adjustment algorithm is used to reconfigure the band allocation of each path through the band adjustment module. First, the current band usage of each path is read, and the band scanning tool is used to scan. The band detection range is set to 1GHz to 3GHz, the band occupancy rate is collected, and the band allocation step is set to 50MHz. The frequency allocation function is used to adjust the frequency band usage ratio, and the band reuse strategy is used to re-divide the frequency band sharing ratio between paths. More frequency band resources are allocated to low-load paths first to generate bandwidth adjustment configuration.

[0125] See also Figure 3 , a high-speed and low-latency distribution network remote control method based on 1.4GHz wireless communication includes the following steps:

[0126] Step 1: Based on the 1.4 GHz frequency band requirements, perform channel bandwidth usage statistics, read the interference frequency and amplitude of each channel, analyze the channel occupancy time, divide the frequency band, adjust the multiplexing ratio of each channel, calculate the frequency allocation of the transmission path, confirm the interval between channels through spectrum scanning, and establish a channel frequency configuration table;

[0127] Step 2: Based on the channel frequency configuration table, analyze the channel bandwidth and stability parameters of each path, read the path delay and signal strength, calculate the signal attenuation of each path, evaluate the transmission quality of each path by comparing the data of each path, and adjust the path optimization strategy based on dynamic characteristics to form a dynamic path optimization list;

[0128] Step 3: Based on the dynamic path optimization list, the frequency band occupancy of each path is detected in real time, the interference signal amplitude and spectrum fluctuation of each path are read, the abnormal signal characteristics are identified, and the spectrum configuration of the signal is adjusted one by one by comparing the spectrum changes in multiple time periods, and the overlapping frequency bands are optimized and allocated to complete the adjustment of the signal transmission status and generate the spectrum adjustment configuration;

[0129] Step 4: Based on the spectrum adjustment configuration, the signal strength and delay data are used to analyze the transmission stability of the path, and the interference characteristics are identified in combination with historical data. By gradually analyzing the frequency and amplitude fluctuations of the signal, potential interference sources are predicted in advance, and low-interference paths are selected in real time to switch transmission, adjust path priorities, and reconfigure frequency allocation to generate a path switching execution plan;

[0130] Step 5: Based on the path switching execution plan, read the transmission data of the main path, use the double buffer structure to synchronize data in real time, write the transmission content into two buffer areas respectively, compare the consistency of the buffer content regularly, check the idle state of the backup path, and when the main path is interrupted, call the buffer content in the backup path to complete data compensation and obtain the buffer transmission record;

[0131] Step 6: Based on the cached transmission records and the real-time transmission volume of the path, read the bandwidth occupancy data of each path, analyze the current load situation, adjust the bandwidth of the high-load path, reallocate the excess bandwidth to the low-load path, optimize the bandwidth allocation ratio of each path, and form a bandwidth adjustment configuration.

[0132] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A high-speed, low-latency distribution network remote control system based on 1.4GHz wireless communication, characterized by: The system comprises: Channel management and allocation module: Based on the 1.4GHz frequency band requirements, read the bandwidth utilization rate and interference level of each channel, count the channel occupancy time, divide the frequency band and adjust the frequency reuse ratio of the channel, allocate the transmission path frequency, combine the bandwidth requirements and transmission rate, optimize the spectrum allocation, and generate the channel frequency configuration table; Multi-path dynamic selection module: based on the channel frequency configuration table, analyzes channel bandwidth data and stability parameters, reads path delay and signal strength, compares transmission performance, calculates signal attenuation, evaluates feasible paths in combination with stability, selects multiple priority paths, and establishes a dynamic path priority list; Signal monitoring and adjustment module: Based on the dynamic path optimization list, it detects the path frequency band occupancy in real time, monitors the interference amplitude and spectrum fluctuation, analyzes signal anomalies, adjusts the spectrum configuration, optimizes the transmission status, and generates the spectrum adjustment configuration; Path optimization and switching module: based on the spectrum adjustment configuration and the dynamic path optimization list, fast Fourier transform is used to analyze transmission stability, evaluate interference risks, select low-interference paths for switching, and generate path switching execution plans; Cache management and switching module: Based on the path switching execution scheme, a dual cache structure is used to synchronize data, read the main path cache, call the backup path data, quickly switch to the backup path when the main path is interrupted, compensate for lost data, and obtain cache transmission records; Hierarchical data transmission module: based on the cache transmission records, classify the data flow priorities, prioritize the important data, synchronize the high-priority data through multiple threads, delay the processing of secondary data, realize parallel transmission, and obtain a hierarchical data transmission structure; Bandwidth resource balancing module: Based on the hierarchical data transmission structure and the path switching execution plan, it monitors the path transmission volume, reads the bandwidth occupancy data, analyzes the load situation, adjusts the bandwidth sharing, adjusts the frequency band occupancy ratio, and forms a bandwidth adjustment configuration.

2. The high-speed, low-latency distribution network remote control system based on 1.4 GHz wireless communication according to claim 1 is characterized in that: The channel management and allocation module includes a frequency band requirement analysis submodule, a channel bandwidth optimization submodule, and a frequency path allocation submodule, wherein: Frequency band demand analysis submodule: Based on the 1.4GHz frequency band demand, read the current bandwidth utilization rate of each channel, detect the frequency and amplitude of the interference signal, record the interference level of each channel, analyze the channel occupancy time, obtain the frequency band division and utilization, and obtain the channel frequency band occupancy analysis data; Channel bandwidth optimization submodule: based on the channel frequency band occupancy analysis data, adjust the frequency reuse ratio channel by channel, calculate the transmission rate requirement in combination with the bandwidth occupancy rate, reconfigure the frequency band segmentation structure, and perform bandwidth allocation to obtain the frequency band optimization configuration table; Frequency path allocation submodule: Based on the frequency band optimization configuration table, allocate transmission path frequencies, scan and confirm the frequency intervals between channels, dynamically adjust the frequency allocation strategy based on channel utilization and bandwidth requirements, and establish a channel frequency configuration table.

3. The high-speed, low-latency distribution network remote control system based on 1.4 GHz wireless communication according to claim 1 is characterized in that: The multi-path dynamic selection module includes a channel data analysis submodule, a path performance calculation submodule, and a dynamic path adjustment submodule, wherein: Channel data analysis submodule: based on the channel frequency configuration table, analyzes the bandwidth utilization data and stability parameters of each channel, identifies the transmission characteristics of each path by reading the path delay characteristics and measuring the signal strength, and obtains the channel transmission stability data; Path performance calculation submodule: based on the channel transmission stability data, compare the transmission signal strength of each path path by path, calculate the signal attenuation and distortion, analyze the stability parameters, evaluate the overall transmission quality of the path, and obtain the path signal performance evaluation result; Dynamic path adjustment submodule: Based on the path signal performance evaluation results, combined with the stability parameters of each path, through real-time monitoring of the path status, adjust the priority path selection strategy, comprehensively select the dynamic characteristics of multiple paths, and establish a dynamic path priority list.

4. The high-speed, low-latency distribution network three-remote control system based on 1.4GHz wireless communication according to claim 1 is characterized in that: The signal monitoring and adjustment module includes a path frequency band monitoring submodule, a signal spectrum adjustment submodule, and a transmission state optimization submodule, wherein: Path frequency band monitoring submodule: Based on the dynamic path optimization list, perform real-time detection of path frequency bands, read the current frequency occupancy by scanning each path frequency band, monitor the interference signal amplitude of each path, compare the spectrum fluctuations in different time periods, analyze the abnormal signal characteristics, and obtain the path frequency band abnormality monitoring results; Signal spectrum adjustment submodule: Based on the abnormal monitoring results of the path frequency band, detect frequency fluctuations and interference signal changes one by one, adjust the spectrum configuration, dynamically modify the signal frequency range according to the real-time frequency band status, optimize the overlapping frequency band allocation, and generate a spectrum adjustment configuration table; Transmission status optimization submodule: Based on the spectrum adjustment configuration table and in combination with the dynamic path optimization list, the signal transmission parameters of each path are evaluated in real time, the spectrum configuration is adjusted, the signal strength and transmission rate are detected, and the signal configuration status is dynamically optimized to obtain the spectrum adjustment configuration.

5. The high-speed, low-latency distribution network three-remote control system based on 1.4GHz wireless communication according to claim 1 is characterized in that: The path optimization and switching module includes a transmission stability evaluation submodule, an interference risk prediction submodule, and a preferred path switching submodule, wherein: Transmission stability evaluation submodule: Based on the spectrum adjustment configuration and the dynamic path optimization list, the signal transmission performance of the current path is analyzed by fast Fourier transform, the interference level is evaluated by detecting signal strength, delay and packet loss rate, and the transmission data at different time points are comprehensively analyzed to obtain the path transmission stability evaluation result; Interference risk prediction submodule: Based on the path transmission stability assessment result, combined with historical transmission data, analyze the frequency and amplitude fluctuations of the interference signal, determine the potential interference source in advance, perform distribution analysis on the timing characteristics of the interference signal, and obtain the path interference risk prediction result; Preferred path switching submodule: Based on the path interference risk prediction result and in combination with the current dynamic path preferred list, a low-interference path is selected to perform transmission switching, path selection priority is adjusted, transmission path allocation strategy is reconfigured, and a path switching execution plan is generated.

6. The high-speed, low-latency distribution network remote control system based on 1.4 GHz wireless communication according to claim 1 is characterized in that: The fast Fourier transform is according to the formula: Where: X′(k) is the improved frequency domain signal, w(t) is the time window function, x(n) is the time domain signal, e -j·2π·k·n / N is the core exponential factor of Fourier transform, j is the imaginary unit, 2π is a constant, k is the frequency number, n is the number of sampling points, N is the number of sampling points, k is the frequency number, α is the signal strength correction coefficient, and β(n) is the interference correction function.

7. The high-speed, low-latency distribution network remote control system based on 1.4 GHz wireless communication according to claim 1 is characterized in that: The cache management and switching module includes a data cache synchronization submodule, a backup path calling submodule, and a cache compensation switching submodule, wherein: Data cache synchronization submodule: Based on the path switching execution scheme, the main path data is read in real time, the transmission data is continuously acquired by the data acquisition module, and written into two independent cache areas through a double cache structure, and the consistency of the cache area content is regularly compared to ensure the integrity of data synchronization and generate real-time cache data records; The standby path calling submodule detects the idle state of the standby path based on the real-time cache data record, periodically reads data fragments from the primary cache, transmits them on the standby path, monitors data integrity and verifies correctness, and calls cache data again for repair if an abnormality occurs, and obtains the standby cache calling state; Cache compensation switching submodule: Based on the backup cache call status, when the main path transmission is interrupted, it quickly switches to the backup path, reads the data fragments in the real-time cache, compensates for the lost data during the main path interruption one by one, ensures the continuity of data flow output, and obtains cache transmission records.

8. The high-speed, low-latency distribution network remote control system based on 1.4 GHz wireless communication according to claim 1 is characterized in that: The hierarchical data transmission module includes a data priority classification submodule, a multi-threaded high-priority synchronization submodule, and a secondary data delay submodule, wherein: Data priority classification submodule: Based on the cache transmission record, read the transmission status of each data stream in real time, analyze the data packet attributes and content, assign key data streams to the high priority layer according to priority, and perform secondary classification to form a multi-level priority data structure to obtain a data priority classification table; Multi-threaded high-priority synchronization submodule: Based on the data priority classification table, multi-thread processing is performed on high-priority data streams, independent channels are used to synchronize high-priority data packets, and independent threads are assigned to perform high-priority transmission tasks to obtain high-priority data synchronization status; Secondary data delay submodule: Based on the high-priority data synchronization state, delay buffering is performed on the secondary data stream, a delay processing channel is configured to cache the secondary data and schedule transmission on a regular basis, a sequential transmission mechanism is used to ensure that the secondary data packets are output in order, flow control is performed, and a layered data transmission structure is obtained.

9. The high-speed, low-latency distribution network remote control system based on 1.4 GHz wireless communication according to claim 1 is characterized in that: The bandwidth resource balancing module includes a transmission volume monitoring submodule, a bandwidth load adjustment submodule, and a frequency band sharing configuration submodule, wherein: Transmission volume monitoring submodule: Based on the hierarchical data transmission structure and the path switching execution scheme, monitor the transmission volume of each path in real time, collect bandwidth occupancy, record the transmission data volume of each path, compare the real-time load status, identify load fluctuations and classify path status, and generate path bandwidth occupancy status; Bandwidth load adjustment submodule: Based on the bandwidth occupancy status of the path, analyze the load change path by path, calculate the real-time bandwidth demand, dynamically adjust the bandwidth allocation ratio, reallocate resources, reduce the bandwidth occupancy of the high-load path, and allocate excess bandwidth to the low-load path to obtain the bandwidth load adjustment result; Frequency band sharing configuration submodule: Based on the bandwidth load adjustment result, the frequency band allocation of each path is reconfigured through the frequency band adjustment module, the frequency band usage ratio is adjusted, and the frequency band sharing between paths is re-divided to ensure the effective use of bandwidth resources and form a bandwidth adjustment configuration.

10. A high-speed, low-latency, remote-control method for network distribution based on 1.4GHz wireless communication, characterized in that: The high-speed, low-latency distribution network remote control system based on 1.4 GHz wireless communication according to any one of claims 1 to 9 comprises the following steps: Step 1: Based on the 1.4 GHz frequency band requirements, calculate the channel bandwidth utilization rate, read the interference frequency and amplitude of each channel, analyze the occupancy time, divide the frequency band, adjust the reuse ratio, calculate the path frequency allocation, scan and confirm the channel interval, and establish the channel frequency configuration table; Step 2: Based on the channel frequency configuration table, analyze the path bandwidth and stability parameters, read the delay and signal strength, calculate the signal attenuation, evaluate the transmission quality, and adjust the path optimization strategy in combination with dynamic characteristics to form a dynamic path optimization list; Step 3: Based on the dynamic path optimization list, detect frequency band occupancy in real time, read interference amplitude and spectrum fluctuation, identify abnormal signal characteristics, compare spectrum changes in multiple time periods, adjust configurations one by one, optimize overlapping frequency band allocation, and generate spectrum adjustment configuration; Step 4: Based on the spectrum adjustment configuration, analyze the signal strength and delay data, identify interference characteristics, predict potential interference sources, select low-interference paths for switching transmission in real time, adjust priorities, reconfigure frequency allocation, and generate a path switching execution plan; Step 5: Based on the path switching execution plan, read the main path data, use the double cache structure to synchronize data in real time, write into two cache areas, compare the consistency, check the backup path status, call the backup path to complete data compensation when the main path is interrupted, and obtain the cache transmission record; Step 6: Based on the cache transmission record, combined with the real-time transmission volume of the path, read the bandwidth occupancy rate, analyze the load situation, adjust the bandwidth of the high-load path, allocate the excess bandwidth to the low-load path, optimize the bandwidth allocation ratio, and form a bandwidth adjustment configuration.

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