Power line multiplexing signal transmission system based on swimming pool water environment

Abstract

The invention relates to the technical field of swimming pool signal transmission, and discloses a power line multiplexing signal transmission system based on a swimming pool water environment. The system comprises a water environment parameter acquisition module, an equipment state monitoring module, a signal multiplexing decision module and a signal transmission control module. The water environment parameter acquisition module acquires swimming pool water quality parameters in real time, generates a water quality abnormal signal and triggers an equipment monitoring instruction; after receiving the instruction, the equipment state monitoring module collects running state parameters of the water treatment equipment and generates an equipment state evaluation value through state evaluation analysis; a signal multiplexing decision module performs transmission mode analysis on the signal and the evaluation value to generate a power line multiplexing mode instruction; the signal transmission control module analyzes the instruction and generates a carrier frequency control parameter and a signal modulation parameter. The system realizes signal multiplexing transmission through the power line, reduces line cost and electromagnetic interference, ensures accurate and stable data transmission, assists in improving swimming pool management efficiency, and adapts to efficient operation requirements.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of pool signal transmission, in particular to a signal transmission system based on power line multiplexing of a pool water environment. BACKGROUND

[0002] In the process of pool operation and management, water environment monitoring and water treatment equipment state control are important work to ensure the safe and stable operation of the pool. In traditional pool management, the collection of water quality parameters of the water body usually relies on independent sensor devices. Such devices need to deploy data transmission lines separately, which not only requires additional construction on the pool periphery and pool body structure during installation, increasing construction cost and construction period, but also may affect the overall aesthetics and use safety of the pool due to unreasonable line laying. The operation state monitoring of pool water treatment equipment such as circulating water pump, filtering device, disinfection equipment, etc. often also needs separate monitoring lines and data transmission channels, resulting in a large number of lines inside the pool. When multiple lines are laid in parallel, electromagnetic interference between lines can affect the accuracy and stability of data transmission, and thus the pool water quality and equipment operation state cannot be grasped in time and accurately by the staff.

[0003] The traditional signal transmission method needs to configure independent transmission links for water quality collection modules and equipment monitoring modules, which not only increases the difficulty of equipment procurement and installation and maintenance, but also occupies more space resources. In the long-term use process, the maintenance work of multiple lines is complicated, and once a line fails, it is difficult to troubleshoot and repair, which may cause related monitoring data to be interrupted, affecting the normal operation and safety of the pool, and it is difficult to meet the needs of modern pool efficient, convenient and low-cost management. SUMMARY

[0004] The purpose of the present application is to provide a signal transmission system based on power line multiplexing of a pool water environment to solve the problems raised in the background.

[0005] To achieve the above purpose, the present application provides a signal transmission system based on power line multiplexing of a pool water environment, which comprises: a water environment parameter collection module for collecting water quality parameters of the pool water in real time, generating a water quality abnormal signal by performing abnormality determination and analysis on the water quality parameters, and triggering a device monitoring instruction according to the water quality abnormal signal; a device state monitoring module for collecting the operation state parameters of the pool water treatment equipment after receiving the device monitoring instruction, generating a device state evaluation value by performing state evaluation analysis on the operation state parameters; a signal multiplexing decision module for receiving the water quality abnormal signal and the device state evaluation value, generating a power line multiplexing mode instruction by performing transmission mode analysis on the water quality abnormal signal and the device state evaluation value; The signal transmission control module is configured to receive the power line multiplexing mode instruction, generate a carrier frequency control parameter and a signal modulation parameter by analyzing the power line multiplexing mode instruction.

[0006] Preferably, when the water environment parameter acquisition module performs abnormality judgment analysis, the water environment parameter acquisition module is configured to: extract turbidity values, pH values, and oxidation-reduction potential values of the water body in the current monitoring period, and perform standardization processing to obtain a water quality comprehensive index; compare the water quality comprehensive index with a preset water quality threshold value, and generate a water quality abnormality signal when the water quality comprehensive index exceeds the preset water quality threshold value.

[0007] Preferably, when the device state monitoring module performs state evaluation analysis, the device state monitoring module is configured to: obtain a current fluctuation map and a vibration spectrum map of the water treatment device; compare the current fluctuation map with a standard current map to obtain a current deviation degree; extract a characteristic frequency amplitude value from the vibration spectrum map, and perform a deviation degree calculation with a standard amplitude range to generate a vibration abnormality degree; generate a device state evaluation value by comprehensively considering the current deviation degree and the vibration abnormality degree.

[0008] Preferably, when the signal multiplexing decision module performs transmission mode analysis, the signal multiplexing decision module is configured to: call the water quality comprehensive index exceeding value corresponding to the water quality abnormality signal; compare and analyze the device state evaluation value with a device state threshold value interval; generate a basic multiplexing mode instruction when the device state evaluation value is in the device state threshold value interval; generate an enhanced multiplexing mode instruction when the device state evaluation value exceeds the device state threshold value interval.

[0009] Preferably, when the signal transmission control module responds to the basic multiplexing mode instruction, the signal transmission control module is configured to: extract a current power line load current waveform feature; determine a carrier frequency control parameter according to the load current waveform feature; generate a signal modulation parameter by using a frequency shift keying modulation method.

[0010] Preferably, when the signal transmission control module responds to the enhanced multiplexing mode instruction, the signal transmission control module is configured to: obtain a pollutant type identifier corresponding to the water quality comprehensive index exceeding value; match a preset spectrum expansion scheme according to the pollutant type identifier; generate a carrier frequency control parameter based on the spectrum expansion scheme; generate a signal modulation parameter by using an orthogonal frequency division multiplexing modulation method.

[0011] Preferably, the system further comprises: a fault diagnosis feedback module, configured to receive the carrier frequency control parameter of the signal transmission control module, and generate a channel diagnosis report by performing abnormal fluctuation detection on the carrier frequency control parameter; The signal multiplexing decision module is further configured to receive the channel diagnosis report, and trigger a transmission mode reset instruction when the channel diagnosis report shows frequency misalignment.

[0012] Preferably, when the fault diagnosis feedback module performs abnormal fluctuation detection, it: monitors the actual frequency value of the carrier frequency control parameter; calculates the continuous offset of the actual frequency value and the target frequency value; generates a channel diagnosis report when the cumulative continuous offset exceeds the frequency tolerance threshold.

[0013] Preferably, the system further comprises: an emergency communication switching module, configured to activate a power line communication backup channel when the signal multiplexing decision module continuously generates an enhanced multiplexing mode instruction; The signal transmission control module is further configured to receive the channel identifier of the power line communication backup channel and switch the signal output path.

[0014] Preferably, when the emergency communication switching module activates the power line communication backup channel, it: detects the current power line harmonic interference intensity; enables a main-backup channel parallel transmission mode when the harmonic interference intensity is lower than a communication interference threshold; enables a backup channel independent transmission mode when the harmonic interference intensity is higher than the communication interference threshold.

[0015] Compared with the prior art, the present application has the following advantages: Without the need to lay independent data transmission lines for the water environment parameter acquisition module and the device state monitoring module, the present application realizes signal multiplexing transmission by using the existing power line, greatly reducing the construction amount of line laying, reducing the device procurement and installation cost, and avoiding the space occupation problem caused by multiple lines in parallel, making the internal line layout of the swimming pool more simple, and improving the overall beauty and use safety of the swimming pool.

[0016] In the data transmission process, the signal multiplexing decision module analyzes the transmission mode of the water quality abnormal signal and the equipment state evaluation value, generates the corresponding power line multiplexing mode instruction, and then the signal transmission control module parses the instruction to generate the carrier frequency control parameter and the signal modulation parameter, which can effectively avoid the electromagnetic interference generated in the transmission process of different signals, ensure the accuracy and stability of the transmission of water quality parameters and equipment operation state parameters, and enable the staff to obtain reliable monitoring data in time, so as to quickly master the pool water quality and equipment operation state. When the water environment parameter acquisition module monitors the water quality abnormality and generates the water quality abnormal signal, the device monitoring instruction can be directly triggered, so that the equipment state monitoring module can timely acquire the operation state parameters of the water treatment equipment, realize the linkage response of water quality abnormality and equipment state monitoring, avoid the situation that the equipment monitoring is not timely due to the delay of water quality abnormal information transmission, help the staff to quickly judge whether the water quality abnormality is related to the equipment operation failure, improve the efficiency of problem diagnosis and treatment, ensure that the pool water quality is always in a qualified state, and ensure the normal operation of the pool. From the long-term use and maintenance point of view, the system simplifies the line structure, reduces the probability of line failure, and at the same time, due to the reduction of the number of lines, the difficulty of fault diagnosis and repair in the subsequent maintenance process is also significantly reduced, the workload and cost of maintenance work are reduced, the risk of monitoring data interruption caused by line failure is reduced, the continuity of pool monitoring work is ensured, and strong support is provided for efficient and stable management of the pool, which is more in line with the actual needs of modern pool operation and management. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 The timing diagram of the signal transmission system based on the power line multiplexing of the pool water environment according to the application; Figure 2 The flowchart of the state evaluation analysis of the equipment state monitoring module; Figure 3 The flowchart of the transmission mode analysis of the signal multiplexing decision module; Figure 4 The flowchart of the signal transmission control module responding to the enhanced multiplexing mode instruction; Figure 5 The flowchart of fault diagnosis feedback and transmission mode reset. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the application.

[0019] Referring to Figure 1 The application provides a signal transmission system based on power line multiplexing in a swimming pool water environment, which is implemented as follows: the system includes a water environment parameter acquisition module, a device state monitoring module, a signal multiplexing decision module, and a signal transmission control module.

[0020] The water environment parameter acquisition module acquires water quality parameters of the swimming pool water body in real time, including but not limited to water turbidity, pH value, and oxidation-reduction potential. The module performs abnormality determination and analysis on the acquired water quality parameters, calculates a water quality comprehensive index, and compares it with a preset water quality threshold value, to generate a water quality abnormality signal when the index exceeds the threshold. The water quality abnormality signal is used to trigger a device monitoring instruction, instructing the device state monitoring module to start working. After receiving the device monitoring instruction, the device state monitoring module acquires the operating state parameters of the swimming pool water treatment device, such as current fluctuation and vibration data. The module performs state evaluation and analysis on the operating state parameters, compares standard graphs and calculates a deviation degree, to generate a device state evaluation value. The signal multiplexing decision module receives the water quality abnormality signal and the device state evaluation value, performs transmission mode analysis, and generates a power line multiplexing mode instruction, such as a basic multiplexing mode instruction or an enhanced multiplexing mode instruction, according to the water quality abnormality degree and the device state evaluation result. The signal transmission control module receives the power line multiplexing mode instruction, analyzes the instruction content to generate carrier frequency control parameters and signal modulation parameters, and controls the multiplexing transmission of signals on the power line. Through the cooperative work of the modules, the system realizes efficient transmission of signals for swimming pool water environment monitoring and device state monitoring.

[0021] Example 1: Referring to Figure 2 In the signal transmission system based on power line multiplexing in a swimming pool water environment, the water environment parameter acquisition module is responsible for real-time monitoring and analysis of the quality of the swimming pool water body. The module continuously acquires physical and chemical indicators of the water body through a multi-parameter sensor array arranged in the swimming pool circulating water channel. The sensor array includes turbidity sensors, pH electrodes, and oxidation-reduction potential probes, which collect data in a parallel manner. The sampling frequency can be configured according to the intensity of swimming pool use, and is usually set to once per minute. The acquired raw data is processed by an analog-to-digital converter and converted into digital signals input to a microprocessor unit.

[0022] The anomaly determination analysis process begins with the data standardization phase. The microprocessor performs dimensionless processing on the turbidity values, pH values, and oxidation-reduction potential values obtained during each monitoring period. The turbidity values are in units of NTU, the pH values are expressed in terms of the pH index, and the oxidation-reduction potential is in millivolts. Each parameter is mapped to a relative scale range of 0-100 through linear transformation, where the conversion of turbidity values takes into account their nonlinear characteristics and uses piecewise linear interpolation. The weighted synthesis of the standardized values is based on pre-set weight coefficients, which are set based on the relative importance of each parameter on water quality. The turbidity parameter weight is usually set to 0.5, the pH value parameter weight is 0.3, and the oxidation-reduction potential parameter weight is 0.2. The water quality composite index generated by the weighted calculation is a dimensionless value, ranging from 0 to 100.

[0023] The water quality composite index is compared with the pre-set water quality threshold. The pre-set water quality threshold is dynamically adjusted according to the pool hygiene standards and historical operation data, and the initial value is usually set to 75. The comparison operation uses a numerical comparison algorithm, and when the water quality composite index exceeds the threshold for three consecutive monitoring periods, it is determined to be in an abnormal state. The generation of the water quality anomaly signal includes an anomaly level identifier, which is divided into a first-level anomaly and a second-level anomaly according to the overrun amplitude. The first-level anomaly indicates that the index exceeds the threshold but is less than 85, and the second-level anomaly indicates that the index reaches or exceeds 85. The water quality anomaly signal is output through a digital communication interface, and at the same time triggers the generation of the device monitoring instruction. The device monitoring instruction includes a timestamp, an anomaly level, and a device identifier that needs to be monitored.

[0024] The device state monitoring module starts monitoring the running state of the specified water treatment device after receiving the device monitoring instruction. The module obtains the running parameters of the water pump, filter, and disinfection device through the device controller interface. The current fluctuation data is collected using a Hall effect current sensor, with a sampling frequency of 1000 times per second to record the current waveform, and the continuous collection time is at least 10 power cycles. The vibration data is obtained through a piezoelectric accelerometer installed on the device shell, with a sampling frequency of 2000 Hz and a collection time window of 30 seconds. The collected raw data is stored in the buffer memory after anti-aliasing filtering and noise reduction preprocessing.

[0025] The state evaluation analysis stage first processes the current fluctuation data. The current fluctuation spectrum is converted to the frequency domain through fast Fourier transform to extract the fundamental and main harmonic components. The measured current spectrum is compared with the standard current spectrum stored in the database, which represents the typical current characteristics of the device under normal operating conditions. The waveform coincidence degree comparison uses the cross-correlation coefficient algorithm to calculate the similarity of the measured waveform and the standard waveform in the time domain. The cross-correlation coefficient ranges from 0 to 1, and the lower the value, the greater the difference. The current offset degree is defined as 1 minus the cross-correlation coefficient, resulting in an offset value between 0 and 1.

[0026] The vibration spectrum analysis starts from the collected time-domain vibration signal, applies the Hanning window function, and then performs Fourier transform to obtain the frequency-amplitude spectrum. The characteristic frequency amplitude value extraction is performed for the equipment rotation frequency, blade passing frequency and harmonic components. The amplitude value of each characteristic frequency is compared with the standard amplitude range, which is determined according to the equipment type and rotation speed. The deviation degree calculation adopts the relative deviation algorithm, that is, the ratio of the difference between the measured amplitude and the median value of the standard range to the range span. The deviation degrees of all characteristic frequencies are obtained by weighted average to obtain the overall vibration abnormality degree, and the weights are allocated according to the importance of each frequency component to the equipment state.

[0027] The generation of the equipment state evaluation value integrates the current deviation degree and the vibration abnormality degree. The comprehensive method adopts a linear weighting model, in which the current deviation degree weight coefficient is set to 0.6 and the vibration abnormality degree weight coefficient is set to 0.4. The equipment state evaluation value obtained by weighted calculation is a continuous value between 0 and 1, and the higher the value, the worse the equipment state. The evaluation result is packaged with the equipment identifier and the time stamp as a data packet, which is transmitted to the signal multiplexing decision module through the communication bus. The entire processing process is scheduled by a real-time operating system to ensure the timeliness of the monitoring response.

[0028] The equipment state monitoring module also includes a self-diagnosis function, which periodically calibrates the sensor zero point and range to ensure the accuracy of the monitoring data. Digital filtering technology is applied during data acquisition to eliminate the influence of power supply interference and environmental noise. All monitoring data with time markers are stored in a ring buffer for historical query and trend analysis. When the equipment state evaluation value exceeds the warning limit value, the module generates a state warning signal and sends it to the monitoring center in parallel.

[0029] Example 2: refer to Figure 3 The signal multiplexing decision module serves as the core decision unit of the system, responsible for generating the corresponding power line multiplexing mode instruction according to the input water quality abnormal signal and equipment state evaluation value. The module is built-in microprocessor and decision logic unit, which receives the water quality abnormal signal from the water environment parameter acquisition module and the equipment state evaluation value from the equipment state monitoring module through the data interface. The received data is first parsed and verified for validity to ensure data integrity and within the specified time limit. The water quality abnormal signal includes the water quality comprehensive index exceeding limit value and the abnormal level identifier, and the equipment state evaluation value is a standardized value.

[0030] The transmission mode analysis process starts with a data retrieval phase. The module extracts the water quality composite index overrun value from the water quality anomaly signal, which represents the degree of deviation of the current water quality parameters from the normal range. The overrun value is calculated based on the relative deviation of the real-time monitoring value from the preset threshold, expressed in percentage form. At the same time, the module reads the device state evaluation value, which reflects the current operating condition of the water treatment device. The device state evaluation value is a floating-point number between 0 and 1, with a higher value indicating a less ideal device state.

[0031] Next, threshold interval comparison analysis is performed. The module internally stores device state threshold interval parameters, which are pre-set according to device type and working characteristics. The device state threshold interval is usually divided into three sections: normal operation interval, attention interval, and abnormal interval. The normal operation interval corresponds to a low device state evaluation value, indicating that the device is running in an ideal state; the attention interval indicates that the device has minor abnormalities but can still continue to operate; the abnormal interval indicates that the device has obvious risk of failure. The boundary values of each interval are determined through comprehensive analysis of technical specifications provided by the device manufacturer and historical operation data.

[0032] The decision logic is based on the multi-condition judgment principle. When the device state evaluation value is in the normal operation interval, the module generates a basic multiplex mode instruction. This instruction corresponds to relatively simple signal transmission requirements, considering that the device is running in good condition and the transmission environment is relatively stable. If the device state evaluation value enters the attention interval, the module will further make a comprehensive judgment in combination with the water quality composite index overrun value. If the water quality composite index overrun value is also at a high level, the module may choose to generate an enhanced multiplex mode instruction; if the water quality anomaly is mild, the basic multiplex mode may still be selected.

[0033] When the device state evaluation value clearly exceeds the normal range and enters the abnormal interval, the module must generate an enhanced multiplex mode instruction. This decision is based on the consideration of the deterioration of the transmission environment caused by device state abnormalities. The enhanced multiplex mode instruction requires more complex signal processing mechanisms to deal with potential transmission interference. In extreme cases, if the device state evaluation value reaches the upper limit of the interval and the water quality composite index overrun value is also at a serious abnormal level, the module will also attach an emergency transmission flag to the instruction, indicating the need for the highest level of transmission protection.

[0034] The time series factor is also considered in the decision-making process. The module maintains a historical decision record buffer, which records the results of the last few analyses. If it is detected that the enhanced multiplex mode instruction is generated continuously for multiple times, the module will start a trend analysis algorithm to evaluate whether the system state is showing a continuous deterioration trend. This trend analysis helps preventive decision-making, which may choose an enhanced transmission mode in advance when the device state evaluation value has not yet completely entered the abnormal interval.

[0035] The generated power line multiplexing mode instruction contains multiple parameter fields. The instruction header contains a mode type identifier, distinguishing between basic mode and enhanced mode. The instruction body contains relevant parameters: for basic mode, specifying the basic carrier frequency range and modulation method; for enhanced mode, in addition to carrier parameters, it may also contain spectrum expansion scheme identification and error correction scheme selection. The instruction tail contains a timestamp and sequence number, ensuring the traceability of the instruction.

[0036] The module also has adaptive learning capabilities. Through long-term operation, the module records the actual transmission effect feedback under different decisions, gradually optimizing the settings of the device state threshold interval and the decision logic parameters. This adaptive mechanism enables the system to better adapt to the unique characteristics of a specific pool environment, improving decision accuracy.

[0037] The entire transmission mode analysis process is completed within strict time constraints, with the entire process from data reception to instruction generation taking milliseconds, meeting the response requirements of real-time systems. The module uses redundant design, with main and backup processing units running in parallel to ensure the reliability of the decision-making process. All decision logs are recorded in detail for subsequent analysis and auditing. The output of the signal multiplexing decision module is transmitted to the signal transmission control module through a standard communication interface. Instruction transmission uses a protocol with error detection to ensure the integrity and accuracy of the instructions. The module regularly performs self-checking procedures to verify the correctness of the decision logic and the availability of the data interface, maintaining the overall operational stability of the system.

[0038] Example 3: refer to Figure 4 The signal transmission control module serves as the execution unit of the system, responsible for converting decision instructions into specific signal transmission parameters. This module includes an instruction parsing unit, a parameter generation unit, and a modulation control unit. When receiving a power line multiplexing mode instruction from the signal multiplexing decision module, the instruction parsing unit first decodes the instruction to identify the mode type and related parameter requirements. Depending on the type of instruction, the module uses different parameter generation strategies.

[0039] For the basic multiplexing mode instruction, the module starts the load current feature analysis program. Through the high-frequency sampling circuit connected on the power line, the current waveform data is captured in real time. The sampling frequency is set to 2MHz, which is sufficient to capture the high-frequency characteristics of the power waveform. The collected current waveform is processed by digital signal processing, first applying a digital filter to eliminate random noise, and then performing spectral analysis. The spectral analysis uses the discrete Fourier transform method to identify the main frequency components of the load current and their amplitude characteristics. According to the analysis results, the determination of the carrier frequency control parameters follows the principle of avoiding the main interference frequency bands. Usually, the carrier frequency is set in the valley region of the current spectrum, where the interference intensity is relatively low. The specific value of the carrier frequency is determined by looking up the table, which stores the recommended frequency values under different load characteristics. The generation of frequency shift keying modulation parameters considers the channel characteristics, and the modulation index is dynamically adjusted according to the signal-to-noise ratio estimate value, and the baud rate is set according to the data transmission requirements. Forward error correction coding is also added during modulation, and the coding scheme is selected according to the channel conditions, commonly used convolutional codes or Reed-Solomon codes. All generated parameters are output to the modulator hardware unit through a digital interface.

[0040] For the enhanced multiplexing mode instruction, the module first parses the pollutant type identifier. This identifier is usually a numerical code corresponding to a specific pollutant category. The module maintains a pollutant-spectrum feature mapping table internally, which records the influence mode of different pollutants on the power line channel characteristics. According to the pollutant type identifier, the corresponding spectrum expansion scheme identifier is obtained by querying the table. The spectrum expansion scheme defines the adjustment strategy of the carrier frequency and the spectrum usage mode. Common schemes include frequency band expansion, multi-carrier modulation, and dynamic spectrum allocation, etc. Based on the selected spectrum expansion scheme, the generation of carrier frequency control parameters uses a multi-objective optimization method, considering both transmission efficiency and anti-interference ability. The generation process of orthogonal frequency division multiplexing modulation parameters is more complex, and it needs to determine parameters such as subcarrier number, subcarrier spacing, and cyclic prefix length. The determination of these parameters is based on channel estimation results, and the channel frequency response is obtained through pilot signal analysis. Orthogonal frequency division multiplexing modulation can provide better frequency diversity effect and anti-frequency selective fading ability.

[0041] In orthogonal frequency division multiplexing modulation, subcarrier power allocation is an important link. The module uses a power allocation algorithm based on channel state information, which can be expressed as:

[0042] Where: P(k) represents the power allocated to the kth subcarrier, Ptotal is the total transmission power, N is the total number of subcarriers, is the channel gain estimation value of the kth subcarrier. This allocation method enables subcarriers with better channel conditions to obtain more power, thereby improving overall transmission efficiency.

[0043] Real-time environmental factors are also considered during parameter generation. The module continuously monitors the operating status of the power line, including voltage fluctuations, load changes, and noise characteristics. These monitoring data are used to dynamically adjust transmission parameters to ensure the reliability of signal transmission. The generated carrier frequency control parameters and signal modulation parameters are output to the signal generator hardware through a digital control interface to control it to generate the required modulated signal.

[0044] The module also has a parameter optimization function. By recording historical transmission effect data, analyzing the transmission performance under different parameter combinations, and gradually optimizing the parameter generation algorithm, the module can adapt to specific installation environments and improve the accuracy of parameter settings. All parameter generation processes are logged in detail, including parameter values, generation time, and related environmental data, which can be used for subsequent analysis and fault diagnosis.

[0045] The signal transmission control module adopts a modular design, with different functional units relatively independent, facilitating maintenance and upgrading. The module has a self-checking function that periodically checks the working status of each unit to ensure the reliability of parameter generation. The interface with the subsequent hardware units uses a standardized protocol to ensure compatibility and scalability.

[0046] Example 4: see Figure 5 In the power line multiplexing signal transmission system based on a swimming pool water environment, the fault diagnosis feedback module plays an important role in continuously monitoring and evaluating the quality of signal transmission. This module detects abnormal fluctuations in the carrier frequency control parameters output by the signal transmission control module and generates detailed analysis reports. The entire monitoring process runs in a periodic cycle, with each monitoring period set to 60 seconds to ensure that transient abnormalities and trend changes in signal transmission can be captured.

[0047] The module contains a high-precision frequency monitoring unit that generates a reference frequency signal through direct digital synthesis technology and compares it with the actual carrier frequency. During the monitoring process, the module captures the actual frequency value in the carrier frequency control parameters at a sampling frequency of 100 times per second. These sample values are first subjected to digital filtering to eliminate random noise interference and then stored in a first-in, first-out data buffer for temporary storage.

[0048] The core of the abnormal fluctuation detection is to calculate the continuous deviation between the actual frequency value and the target frequency value. The target frequency value is set by the signal transmission control module according to the current transmission mode, and is a known reference value. The calculation of the continuous deviation uses a sliding window integration method, with 5 seconds as a calculation window, and the absolute value of the frequency deviation of all sampling points in the window is accumulated and summed. The frequency deviation of each sampling point is obtained by subtracting the target frequency value from the actual frequency value, and the absolute value is taken into the cumulative value.

[0049] When the cumulative deviation exceeds the preset frequency tolerance threshold, the module starts the diagnostic report generation process. The frequency tolerance threshold is set according to the requirements of the communication system, and is usually 2 times the allowed frequency deviation. For example, if the system allows a frequency deviation of ±2Hz, the tolerance threshold may be set to 4Hz. This threshold can be adjusted according to the actual application environment through configuration parameters. In order to better illustrate the frequency monitoring process, refer to Table 1, which shows a typical frequency monitoring data record table.

[0050] Table 1: Carrier frequency monitoring data record table.

[0051]

[0052] The generation of the channel diagnostic report contains multiple analysis dimensions. The report first records the basic information of the abnormal event, including the occurrence time, duration, maximum deviation and average deviation. Then the abnormal type is preliminarily classified, distinguishing between sudden abnormality and gradual abnormality. The report also analyzes the possible causes of the abnormality, such as power interference, equipment failure or environmental factors, etc. The final diagnostic report adopts a structured data format, including header information, abnormal description, analysis results and suggested measures, etc.

[0053] The signal multiplexing decision module will perform report analysis and state evaluation after receiving the channel diagnostic report. When the diagnostic report shows frequency misalignment, the module will decide whether to trigger the transmission mode reset instruction according to the severity and duration of the misalignment. The generation of the reset instruction follows the principle of hierarchical response: for slight and short-term frequency misalignment, the carrier frequency may be adjusted; for serious and continuous frequency misalignment, the transmission mode may be completely switched.

[0054] The transmission mode reset instruction contains specific adjustment parameters, such as the new carrier frequency value, modulation mode change indication or transmission power adjustment value, etc. The instruction is sent to the signal transmission control module through the digital communication interface, triggering the corresponding parameter reconfiguration process. The whole response process is designed as an automatic process, and the delay of the whole process from diagnostic report generation to instruction execution is controlled within 100 milliseconds.

[0055] The fault diagnosis feedback module also has a historical data recording function. All monitoring data and diagnosis reports are stored in non-volatile memory with a timestamp. These historical data can be used for trend analysis and preventive maintenance. By analyzing long-term operation data, the module can learn the interference characteristics of a specific environment, optimize the frequency tolerance threshold settings, and improve the accuracy of diagnosis.

[0056] The module's operating status is also continuously monitored, and a self-checking program is executed regularly to verify the accuracy of the frequency monitoring unit. During the self-checking process, the module generates a test signal of known frequency to verify whether the measurement accuracy of the monitoring unit remains within the allowed range. If a deviation is found in the monitoring unit, a calibration program will be automatically started to ensure the reliability of the monitoring data.

[0057] The entire fault diagnosis feedback process forms a closed-loop control, maintaining the stable operation of the signal transmission system through continuous monitoring, analysis and adjustment. This design enables the system to adapt to various disturbances that may occur in the pool environment, ensuring the reliability and continuity of signal transmission. All operation logs and diagnosis records can be queried through the system interface, providing detailed operation history and analysis basis for maintenance personnel.

[0058] Example 5: The emergency communication switching module serves as a backup communication guarantee mechanism in the system, activated under certain conditions to maintain the continuity of signal transmission. The module continuously monitors the output instructions of the signal multiplexing decision module, and when it detects that the enhanced multiplexing mode instruction is continuously generated, it starts the emergency response process. The continuous generation is determined based on the instruction count within a time window, with a default time window of ten minutes. If three or more enhanced multiplexing mode instructions are received within this period, it is determined to be in a continuous generation state.

[0059] The module maintains a state machine inside to track the communication status of the system. The state machine contains multiple state nodes, including normal operation state, warning state and emergency state. When entering the emergency state, the module sends an activation instruction to the power line communication backup channel controller. The activation process first performs channel availability detection by sending a probe signal and monitoring the response to confirm the physical connection status and basic communication capability of the backup channel.

[0060] The power line communication backup channel uses an independent power line routing path, which is physically separated from the main transmission channel. The activation of the backup channel includes two stages of hardware switch and software protocol initialization. The hardware switch controls the relays of the power line router to switch the signal transmission path to the backup line. The software protocol initialization re-establishes the communication session, negotiates the transmission parameters, and synchronizes the data buffer.

[0061] The detection of harmonic interference intensity is a key step in the emergency switching process. The module collects power line signals through a spectrum analysis unit connected to the power line, with a sampling frequency covering the 0-100 kHz frequency band. The collected signals are subjected to fast Fourier transform to obtain a frequency spectrum, from which the amplitude characteristics of each harmonic are extracted. The total harmonic distortion rate is calculated based on the amplitude data of the first 31 harmonics, and the quantization index is obtained by the square root of the sum of squares.

[0062] The setting of the communication interference threshold takes into account the specific communication protocol requirements. For commonly used power line communication protocols, the interference threshold is usually set in the range of 8% to 15% of the total harmonic distortion rate. The actual threshold value is dynamically adjusted according to the on-site measurement data to adapt to different power line environmental characteristics. The threshold adjustment algorithm is based on historical communication quality data, using a sliding window average method to calculate the optimal threshold.

[0063] When the actual harmonic interference intensity is lower than the communication interference threshold, the module enables the parallel transmission mode of the main and backup channels. In this mode, the main channel and the backup channel are simultaneously active, and the data stream is distributed to both channels for transmission. The data distribution strategy uses a load balancing algorithm to dynamically adjust the data load of each channel according to real-time channel quality. Parallel transmission provides redundancy protection, and temporary failure of a single channel will not affect the overall communication continuity.

[0064] When the harmonic interference intensity is higher than the communication interference threshold, the module enables the independent transmission mode of the backup channel. In this mode, the main channel is completely disabled, and all communication traffic is switched to the backup channel. The switching process uses seamless switching technology, ensuring that there is no data loss or duplication during transmission through data buffering and sequence number maintenance mechanisms. Although the independent transmission mode sacrifices transmission capacity, it provides higher communication reliability.

[0065] The signal transmission control module receives channel identification information from the emergency communication switching module. The channel identification uses binary encoding format, including channel type, physical address and state information. The control module updates the signal output routing table according to the channel identification, and adjusts the output parameters of the signal transmitter. The output path switching is realized through a digital switch array, with a switching time controlled in the millisecond level to meet the requirements of real-time communication.

[0066] The module also implements a complete state monitoring mechanism. The running state of the backup channel is continuously monitored, including signal strength, error rate and transmission delay, etc. These monitoring data are used to evaluate the service quality of the backup channel, and trigger further adjustment operations if necessary. The monitoring data are recorded in the system log for subsequent analysis and optimization.

[0067] The emergency communication switching module has self-healing capability. When the interference level of the main channel is monitored to decrease to an acceptable range, the module will automatically attempt to restore the main channel communication. The restoration process adopts a gradual strategy, first tentatively enabling the main channel under the condition that the backup channel remains active, and then gradually increasing the load proportion of the main channel after verifying the communication stability. This design minimizes service interruption time.

[0068] All switching operations and state changes generate detailed event logs, including timestamp, operation type, channel state, and performance indicators. The log information is provided externally through the system management interface, supporting remote query and analysis. The module also provides a configuration interface, allowing administrators to adjust various threshold parameters and time window settings to adapt to different application scenarios.

[0069] The entire emergency communication switching process is designed to run automatically without human intervention. The built-in decision-making algorithm of the module can make optimal switching decisions based on real-time monitoring data, ensuring that the signal transmission system can maintain reliable communication services under various abnormal conditions. This design improves the robustness and usability of the system, providing important protection for the continuous transmission of pool water environment monitoring data.

[0070] In the signal transmission system based on power line multiplexing in the pool water environment, the signal transmission control module relies on power line carrier technology to build a parameter acquisition network covering all key devices and environmental monitoring points in the pool, achieving unified acquisition and transmission of multiple types of device operating parameters, and combining parameter analysis to perceive the real-time environmental state of the pool, providing comprehensive data support for water quality anomaly signal generation.

[0071] The module loads a specific frequency carrier signal on the existing power supply line in the pool through a pre-set carrier communication protocol. This carrier signal can penetrate line impedance interference and establish communication connections with device monitoring nodes distributed in different areas of the pool. For water pump devices, the module collects operating state parameters such as water pump motor working current waveform, operating speed, and water inlet and outlet pressure values, which provide real-time feedback on whether the water pump is in normal water circulation state. For sand tank devices, the module focuses on collecting filter differential pressure data and backwash trigger state inside the sand tank to determine whether the sand tank filtration function is effective. For heat pump devices, the module collects heat pump heating power, refrigerant circulation pressure, and water outlet temperature parameters to understand the operation of the water temperature regulation system. In underwater light device monitoring, the module obtains lamp working voltage stability, brightness output value, and fault alarm signal through the carrier signal to understand the lighting system state. Meanwhile, the module also collects real-time temperature data of the pool water body through temperature sensors connected to the power line to form water temperature state parameters.

[0072] All collected device operating parameters and water temperature parameters are transmitted to the signal multiplexing decision module through the power line carrier signal. After receiving these parameters, the signal multiplexing decision module, in combination with the water quality basic parameters such as water turbidity, pH value, oxidation-reduction potential, etc. obtained by the water environment parameter acquisition module, performs multi-dimensional correlation analysis to realize comprehensive perception of the pool environment: according to the water turbidity parameter to judge the clarity of the water body, if the turbidity value exceeds the standard range, it directly reflects the turbidity of the water body; combined with the water temperature parameter and the scene demand of the pool, it is determined whether the water temperature is in the appropriate interval; through the brightness output value of the underwater lamp and the environmental light data collected by the environmental light sensor (accessing the power line communication network), the pool environment light is comprehensively evaluated whether it is sufficient to meet the lighting needs.

[0073] When the analysis finds that the water turbidity is abnormal, the water temperature deviates from the appropriate interval, the environmental light is insufficient to affect the normal use of the pool, or the abnormal operation parameters of the water pump, sand tank, heat pump and other devices cause damage to the water quality regulation function, the signal multiplexing decision module will integrate these abnormal information, according to the abnormal judgment logic of the water environment parameter acquisition module, to generate corresponding water quality abnormal signal. For example, if the sand tank filter pressure difference is too large, causing filter failure, and then causing the water turbidity to rise, the module will associate the sand tank operation abnormal parameter with the turbidity abnormal parameter to generate a water quality abnormal signal caused by device failure; if the water temperature is lower than the standard interval and the heat pump heating power is insufficient, a water quality related abnormal signal caused by water temperature regulation abnormality will be generated, which triggers the device monitoring instruction to prompt the device state monitoring module to further evaluate the abnormal associated device in detail, forming a closed loop process of "parameter acquisition-environment perception- abnormality judgment-device retest", to ensure accurate monitoring of the pool environment state and device operation state.

[0074] In the implementation example 7, in the operation of the power line multiplexing signal transmission system based on the pool water environment, the water environment parameter acquisition module will include the oxidation-reduction potential (ORP) as the core water quality parameter in real-time collection. Through the deployment of the ORP special probe in the pool circulation pipeline, the actual test value of the water ORP is collected at a fixed period of one hour, and the corresponding target ORP value (set to 680mV according to the pool hygiene standard) is retrieved from the system preset parameter library. The actual value and the target value will be stored together in the local cache of the module with a time stamp accurate to the minute.

[0075] The module performs abnormality determination analysis, first calculates the difference between the actual test value and the target value of ORP collected each time, and obtains the instantaneous offset. At 10:30:00, the actual test value is 620 mV, and the instantaneous offset is 60 mV; at 11:30:00, the actual value rises to 650 mV, and the offset decreases to 30 mV; at 12:30:00, the actual value and the target value are consistent, and the offset is 0; at 15:30:00, the actual value is 670 mV, and the offset is 10 mV; at 19:30:00, the actual value falls to 650 mV, and the offset is 30 mV. The module compares these instantaneous offsets with the preset 20 mV ORP offset threshold value, and determines that the ORP parameter is abnormal when the threshold value is exceeded, and triggers the water quality abnormality signal generation process. Referring to Table 2, a typical ORP parameter monitoring and corresponding system response data table is shown.

[0076] Table 2, ORP parameter monitoring and corresponding system response data table.

[0077]

[0078] 10:30:00 and 11:30:00, because the instantaneous offset is greater than the threshold value, the water environment parameter collection module generates a water quality abnormality signal containing ORP abnormality information, and labels the abnormality type, timestamp, offset and target value. At the same time, according to the signal, the device monitoring instruction is automatically triggered, and the swimming pool salt chlorinator (the amount of chlorine generated by the salt chlorinator directly affects the ORP of the water body, and the ORP abnormality may be related to the operation of the salt chlorinator) is specified.

[0079] After receiving the monitoring instruction for the salt chlorinator, the device state monitoring module immediately collects its running state parameters. Through the communication interface with the salt chlorinator controller, the current fluctuation spectrum is collected continuously for 10 seconds at a sampling frequency of 500 times per second; through the vibration sensor installed on the motor shell of the salt chlorinator, the vibration frequency spectrum is collected for 20 seconds at a sampling frequency of 1000 Hz, to ensure that the subtle vibration characteristics of the device are captured.

[0080] The module makes state evaluation analysis on the operating state parameters: the current fluctuation atlas is compared with the standard current atlas of the salt chlorinator under the rated power stored by the system, the coincidence degree is calculated by waveform comparison algorithm, and the current deviation degree is calculated when the coincidence degree is lower than 90%; the coincidence degree is 82% at 10:30:00, and the current deviation degree is 18%; the coincidence degree is 86% at 11:30:00, and the deviation degree is 14%. At the same time, the feature frequency amplitude value corresponding to the motor rotation frequency is extracted from the vibration spectrum atlas, and the vibration abnormality degree is calculated by calculating the deviation degree from the standard amplitude range of 5-10 μm; the amplitude value is 13 μm at 10:30:00, and the abnormality degree is 30%; the amplitude value is 11 μm at 11:30:00, and the abnormality degree is 10%. The module calculates the equipment state evaluation value according to the preset weight of the current deviation degree of 60% and the vibration abnormality degree of 40%: 15.2% at 10:30:00, and 10.4% at 11:30:00.

[0081] After receiving the ORP abnormal water quality signal and the salt chlorinator state evaluation value, the signal multiplexing decision module performs transmission mode analysis: the ORP instantaneous deviation is adjusted to determine the water quality abnormality degree, and the equipment state evaluation value is compared with the preset threshold interval of "normal 0-10%, attention 10%-20%, and abnormal 20% and above". The evaluation value is 15.2% at 10:30:00 (attention interval) and the ORP deviation is 60 mV (serious abnormality), and the enhanced multiplexing mode instruction is generated; the evaluation value is 10.4% at 11:30:00 (attention interval) and the ORP deviation is 30 mV (abnormality alleviation), and the enhanced multiplexing mode instruction is still generated combined with the improvement of the salt chlorinator current fluctuation.

[0082] At 12:30:00, the ORP actual value is consistent with the target value, there is no water quality abnormal signal, the equipment state monitoring module has no new instruction, the signal multiplexing decision module receives the normal data, determines that the water quality is normal, the salt chlorinator state evaluation value is 8.5% (normal interval), and the basic multiplexing mode instruction is generated. At 15:30:00, the ORP actual value is 670 mV, the deviation is 10 mV (normal), the salt chlorinator evaluation value is 9.2% (normal interval), and the basic multiplexing mode instruction is generated. At 19:30:00, the ORP actual value is 650 mV, the deviation is 30 mV (abnormal), the salt chlorinator evaluation value is 12.8% (attention interval), and the enhanced multiplexing mode instruction is generated.

[0083] The signal transmission control module receives the multiplexing mode instruction, analyzes and generates the corresponding carrier frequency control parameters and signal modulation parameters: when receiving the enhanced multiplexing mode instruction (10:30:00, 11:30:00, 19:30:00), the ORP abnormality corresponding "chlorine content deficiency" pollutant type identifier is obtained, the preset "narrowband spectrum expansion" scheme is matched, the carrier frequency is set to 100-150 kHz (avoiding low-frequency interference), the orthogonal frequency division multiplexing modulation is adopted, the parameters including the number of subcarriers and the modulation order are generated, and the salt chlorine machine control instruction transmission is ensured; when receiving the basic multiplexing mode instruction (12:30:00, 15:30:00), the power line load current waveform characteristics are extracted, the harmonic and fluctuation rules are analyzed, the carrier frequency is set to 80-120 kHz or 90-130 kHz (avoiding harmonic overlap) according to the load fluctuation, the frequency shift keying modulation parameters are generated, and the instruction transmission stability is ensured.

[0084] The fault diagnosis feedback module continuously receives the carrier frequency control parameters and monitors the actual frequency value in real time: at 10:30:00, the target frequency is 120 kHz, the module collects the actual value at a frequency of 100 times per second, the continuous offset is calculated in a 5-second sliding window, if the offset is not more than the 4 kHz tolerance threshold, it is determined that the transmission is normal, if the offset exceeds the threshold, a channel diagnosis report is generated and sent to the signal multiplexing decision module to trigger the transmission mode reset instruction to adjust the parameters to restore the transmission.

[0085] The emergency communication switching module continuously monitors the multiplexing mode instruction, and after detecting the continuous enhanced instructions at 10:30:00 and 11:30:00, activates the power line communication backup channel: first detects the power line harmonic interference intensity, calculates the total harmonic distortion rate through spectrum analysis, when the harmonic interference intensity is lower than the 10% communication interference threshold, the main and backup channels are enabled for parallel transmission of the salt chlorine machine control instruction; when the harmonic interference intensity is higher than the threshold, the backup channel is enabled for independent transmission, ensuring that the instruction is reliably delivered, realizing the precise adjustment of the salt chlorine machine power, and gradually adjusting the water body ORP value to the target range, such as restoring to 680 mV at 12:30:00, maintaining 670 mV at 15:30:00, and tending to be stable after fluctuation at 19:30:00.

[0086] It should be noted that, in this text, relational terms such as first and second are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device.

[0087] While embodiments of the application have been shown and described, it is to be understood that the embodiments described are merely exemplary of the principles and application of the present application. Numerous modifications and adaptions can be effected without departing from the spirit and scope of the present application, which is not limited to the exact construction and arrangement described. It is intended, therefore, to cover all modifications and adaptions that fall within the scope of the claims and their equivalents.

Claims

1. A signal transmission system based on power line multiplexing in a swimming pool water environment, characterized by, The application relates to a water quality monitoring system for a swimming pool, which comprises the following modules: a water environment parameter acquisition module, which is used for collecting water quality parameters of a swimming pool in real time, generating a water quality abnormality signal by performing abnormality judgment analysis on the water quality parameters, and triggering a device monitoring instruction according to the water quality abnormality signal; a device state monitoring module, which is used for collecting operation state parameters of a swimming pool water treatment device after receiving the device monitoring instruction, and generating a device state evaluation value by performing state evaluation analysis on the operation state parameters; a signal multiplexing decision module, which is used for receiving the water quality abnormality signal and the device state evaluation value, generating a power line multiplexing mode instruction by performing transmission mode analysis on the water quality abnormality signal and the device state evaluation value; a signal transmission control module, which is used for receiving the power line multiplexing mode instruction, generating a carrier frequency control parameter and a signal modulation parameter by analyzing the power line multiplexing mode instruction.

2. The signal transmission system based on pool water environment power line multiplexing of claim 1, wherein, When the water environment parameter acquisition module performs abnormality judgment analysis, the following steps are performed: standardized processing is performed on water turbidity values, PH value values and oxidation-reduction potential values in a current monitoring period to obtain a water quality comprehensive index; the water quality comprehensive index is compared with a preset water quality threshold value, and a water quality abnormality signal is generated when the water quality comprehensive index exceeds the preset water quality threshold value.

3. The signal transmission system based on pool water environment power line multiplexing of claim 2, wherein, When the device state monitoring module performs state evaluation analysis, the following steps are performed: a current fluctuation spectrum and a vibration spectrum diagram of the water treatment device are obtained; a current fluctuation spectrum is compared with a standard current spectrum to obtain a current offset degree; a characteristic frequency amplitude value is extracted from the vibration spectrum diagram, and a vibration abnormality degree is generated by calculating a deviation degree of the characteristic frequency amplitude value from a standard amplitude range; the current offset degree and the vibration abnormality degree are combined to generate the device state evaluation value.

4. The signal transmission system based on pool water environment power line multiplexing of claim 3, wherein, When the signal multiplexing decision module performs transmission mode analysis, the following steps are performed: a water quality comprehensive index exceeding value corresponding to the water quality abnormality signal is called; the device state evaluation value is compared with a device state threshold value interval; a basic multiplexing mode instruction is generated when the device state evaluation value is in the device state threshold value interval; an enhanced multiplexing mode instruction is generated when the device state evaluation value exceeds the device state threshold value interval.

5. The signal transmission system based on pool water environment power line multiplexing of claim 4, wherein, When the signal transmission control module responds to the basic multiplexing mode instruction, the following steps are performed: a current power line load current waveform feature is extracted; a carrier frequency control parameter is determined according to the load current waveform feature; a frequency shift keying modulation mode is adopted to generate a signal modulation parameter.

6. The signal transmission system based on pool water environment power line multiplexing of claim 4, wherein, When the signal transmission control module responds to the enhanced multiplexing mode instruction, the following steps are performed: a pollutant type identifier corresponding to the water quality comprehensive index exceeding value is obtained; a preset frequency spectrum expansion scheme is matched according to the pollutant type identifier; a carrier frequency control parameter is generated based on the frequency spectrum expansion scheme; an orthogonal frequency division multiplexing modulation mode is adopted to generate a signal modulation parameter.

7. The signal transmission system for pool water environment based power line multiplexing of claim 1, wherein, The application further comprises: a fault diagnosis feedback module, which is used for receiving the carrier frequency control parameter of the signal transmission control module, generating a channel diagnosis report by performing abnormal fluctuation detection on the carrier frequency control parameter; the signal multiplexing decision module is further used for receiving the channel diagnosis report, and triggering a transmission mode reset instruction when the channel diagnosis report shows frequency inaccuracy.

8. The signal transmission system based on pool water environment power line multiplexing of claim 7, wherein, When the fault diagnosis feedback module performs abnormal fluctuation detection, the following steps are performed: an actual frequency value of the carrier frequency control parameter is monitored; a continuous offset amount of the actual frequency value from a target frequency value is calculated; a channel diagnosis report is generated when the continuous offset amount accumulates and exceeds a frequency tolerance threshold value.

9. The signal transmission system for pool water environment based power line multiplexing of claim 1, wherein, Also comprising: An emergency communication switching module, configured to activate the power line communication backup channel when the signal multiplexing decision module continuously generates the enhanced multiplexing mode instruction; The signal transmission control module is further configured to receive the channel identifier of the power line communication backup channel and switch the signal output path.

10. The signal transmission system based on pool water environment power line multiplexing of claim 9, wherein, When the emergency communication switching module activates the power line communication backup channel: Detect the current power line harmonic interference intensity; When the harmonic interference intensity is lower than the communication interference threshold, enable the main and backup channel parallel transmission mode; When the harmonic interference intensity is higher than the communication interference threshold, enable the backup channel independent transmission mode.

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