Signal transmission system based on power line multiplexing in a swimming pool water environment

Abstract

The application relates to the technical field of pool signal transmission, and discloses a signal transmission system based on power line multiplexing of a 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 pool water quality parameters in real time, generates a water quality abnormality signal and triggers an equipment monitoring instruction; after receiving the instruction, the equipment state monitoring module acquires water treatment equipment operation state parameters, generates an equipment state evaluation value through state evaluation analysis; the signal multiplexing decision module analyzes the above signal and evaluation value in a transmission mode, generates a power line multiplexing mode instruction; and the signal transmission control module analyzes the instruction, generates a carrier frequency control parameter and a signal modulation parameter. The system realizes signal multiplexing transmission by means of a power line, reduces line cost and electromagnetic interference, guarantees accurate and stable data transmission, helps improve pool management efficiency and adapts to efficient operation requirements.

Description

Technical Field

[0001] This invention relates to the field of swimming pool signal transmission technology, specifically to a signal transmission system based on power line multiplexing in a swimming pool water environment. Background Technology

[0002] In the operation and management of swimming pools, water environment monitoring and control of water treatment equipment status are crucial for ensuring the safe and stable operation of the pool. Traditional pool management typically relies on independent sensor devices for collecting water quality parameters. These devices require separate data transmission lines, which not only necessitates additional construction work around the pool and its structure during installation, increasing costs and time, but also potentially negatively impacting the pool's overall aesthetics and safety due to improper cable placement.

[0003] Monitoring the operational status of swimming pool water treatment equipment, such as circulating water pumps, filtration devices, and disinfection equipment, often requires separate monitoring lines and data transmission channels, resulting in a complex number of internal wiring connections. When multiple lines are laid in parallel, electromagnetic interference can easily occur between them, affecting the accuracy and stability of data transmission. Consequently, staff may be unable to promptly and accurately monitor the pool's water quality and equipment operating status.

[0004] Traditional signal transmission methods require separate transmission links for the water quality acquisition module and the equipment monitoring module. This not only increases equipment procurement costs and installation and maintenance difficulties but also occupies more space. In long-term use, maintaining multiple lines is cumbersome, and if any line fails, troubleshooting and repair are difficult, potentially leading to data interruption and affecting the normal operation and safety of the swimming pool. This makes it difficult to meet the demands of modern swimming pools for efficient, convenient, and low-cost management. Summary of the Invention

[0005] The purpose of this invention is to provide a signal transmission system for power line multiplexing based on a swimming pool water environment, so as to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides a signal transmission system for power line multiplexing based on a swimming pool water environment, the system comprising:

[0007] The water environment parameter acquisition module is used to collect water quality parameters of the pool water in real time, generate water quality anomaly signals by analyzing and judging the water quality parameters, and trigger equipment monitoring commands based on the water quality anomaly signals.

[0008] The equipment status monitoring module is used to collect the operating status parameters of the pool water treatment equipment after receiving equipment monitoring instructions, and generate equipment status assessment values ​​by performing status assessment analysis on the operating status parameters.

[0009] The signal multiplexing decision module is used to receive water quality anomaly signals and equipment status assessment values, and generate power line multiplexing mode instructions by performing transmission mode analysis on the water quality anomaly signals and equipment status assessment values.

[0010] The signal transmission control module is used to receive power line multiplexing mode commands and generate carrier frequency control parameters and signal modulation parameters by parsing the power line multiplexing mode commands.

[0011] Preferably, when the water environment parameter acquisition module performs anomaly detection and analysis:

[0012] The water quality index is obtained by standardizing the turbidity, pH, and redox potential values ​​of the water body during the current monitoring period.

[0013] The comprehensive water quality index is compared with a preset water quality threshold. When the comprehensive water quality index exceeds the preset water quality threshold, a water quality anomaly signal is generated.

[0014] Preferably, when the equipment status monitoring module performs status assessment analysis:

[0015] Obtain the current fluctuation spectrum and vibration spectrum of the water treatment equipment;

[0016] The current deviation is obtained by comparing the waveform overlap between the current fluctuation spectrum and the standard current spectrum.

[0017] The vibration anomaly degree is generated by extracting the characteristic frequency amplitude values ​​from the vibration spectrum and calculating the deviation from the standard amplitude range.

[0018] The equipment condition assessment value is generated by combining the current offset and vibration anomaly.

[0019] Preferably, when the signal multiplexing decision module performs transmission mode analysis:

[0020] Retrieve the water quality comprehensive index exceeding the limit corresponding to the water quality anomaly signal;

[0021] Compare and analyze the equipment status assessment values ​​with the equipment status threshold range;

[0022] A basic reuse mode instruction is generated when the device status assessment value is within the device status threshold range.

[0023] An enhanced reuse mode instruction is generated when the device status assessment value exceeds the device status threshold range.

[0024] Preferably, when the signal transmission control module responds to the basic multiplexing mode command:

[0025] Extract the waveform characteristics of the current power line load current;

[0026] Determine the carrier frequency control parameters based on the characteristics of the load current waveform;

[0027] Frequency shift keying (FSK) modulation is used to generate signal modulation parameters.

[0028] Preferably, when the signal transmission control module responds to the enhanced multiplexing mode command:

[0029] Obtain the pollutant type identifier corresponding to the water quality comprehensive index exceeding the limit;

[0030] Match the preset spectrum spread scheme according to the pollutant type identifier;

[0031] Generate carrier frequency control parameters based on the spectrum spread scheme;

[0032] Signal modulation parameters are generated using orthogonal frequency division multiplexing modulation.

[0033] Preferably, the system further includes:

[0034] The fault diagnosis feedback module is used to receive the carrier frequency control parameters from the signal transmission control module and generate a channel diagnosis report by detecting abnormal fluctuations in the carrier frequency control parameters.

[0035] The signal multiplexing decision module is also used to receive channel diagnostic reports, and triggers a transmission mode reset command when the channel diagnostic report shows frequency inaccuracy.

[0036] Preferably, when the fault diagnosis feedback module performs abnormal fluctuation detection:

[0037] Monitor the actual frequency values ​​of carrier frequency control parameters;

[0038] Calculate the continuous offset between the actual frequency value and the target frequency value;

[0039] A channel diagnostic report is generated when the cumulative offset exceeds the frequency tolerance threshold.

[0040] Preferably, the system further includes:

[0041] The emergency communication switching module is used to activate the power line communication backup channel when the signal multiplexing decision module continuously generates enhanced multiplexing mode instructions;

[0042] The signal transmission control module is also used to receive the channel identifier of the power line communication backup channel and switch the signal output path.

[0043] Preferably, when the emergency communication switching module activates the power line communication backup channel:

[0044] Detect the current power line harmonic interference intensity;

[0045] When the harmonic interference intensity is lower than the communication interference threshold, the main and backup channels are activated in parallel transmission mode.

[0046] When the harmonic interference intensity is higher than the communication interference threshold, the standby channel independent transmission mode is activated.

[0047] Compared with the prior art, the beneficial effects of the present invention are:

[0048] There is no need to lay separate data transmission lines for the water environment parameter acquisition module and the equipment status monitoring module. Instead, the existing power lines are used to achieve signal multiplexing and transmission, which greatly reduces the amount of construction work for laying lines, lowers the equipment procurement and installation costs, and avoids the space occupation problem caused by multiple parallel lines. This makes the internal wiring layout of the pool simpler and improves the overall aesthetics and safety of the pool.

[0049] During data transmission, the signal multiplexing decision module analyzes the transmission mode of abnormal water quality signals and equipment status assessment values, generates corresponding power line multiplexing mode instructions, and then the signal transmission control module parses the instructions to generate carrier frequency control parameters and signal modulation parameters. This effectively avoids electromagnetic interference generated by different signals during transmission, ensuring the accuracy and stability of water quality parameters and equipment operating status parameters. This allows staff to obtain reliable monitoring data in a timely manner, so as to quickly grasp the pool water quality and equipment operating status.

[0050] When the water environment parameter acquisition module detects water quality anomalies and generates a water quality anomaly signal, it can directly trigger the equipment monitoring command, enabling the equipment status monitoring module to collect the operating status parameters of the water treatment equipment in a timely manner. This achieves a linkage response between water quality anomalies and equipment status monitoring, avoiding situations where equipment monitoring is not timely due to delays in the transmission of water quality anomaly information. It helps staff quickly determine whether water quality anomalies are related to equipment malfunctions, improves the efficiency of problem investigation and handling, ensures that the pool water quality is always in a qualified state, and ensures the normal operation of the pool.

[0051] From the perspective of long-term use and maintenance, this system simplifies the wiring structure, reduces the probability of line failures, and significantly reduces the difficulty of troubleshooting and repair during subsequent maintenance due to the reduced number of lines. This reduces the workload and cost of maintenance work, lowers the risk of monitoring data interruption due to line failures, ensures the continuity of pool monitoring work, provides strong support for the efficient and stable management of pools, and better meets the actual needs of modern pool operation and management. Attached Figure Description

[0052] Figure 1 This is a timing diagram of the signal transmission system for power line multiplexing based on a swimming pool water environment as described in this invention.

[0053] Figure 2A flowchart for the status assessment and analysis of the equipment status monitoring module;

[0054] Figure 3 A flowchart for the transmission mode analysis of the signal multiplexing decision module;

[0055] Figure 4 A flowchart illustrating the signal transmission control module's response to enhanced multiplexing mode commands;

[0056] Figure 5 This is a flowchart for fault diagnosis feedback and transmission mode reset. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] Please see Figure 1 The present invention provides a signal transmission system for power line multiplexing based on swimming pool water environment. The overall implementation scheme is as follows: the system includes a water environment parameter acquisition module, an equipment status monitoring module, a signal multiplexing decision module and a signal transmission control module.

[0059] The water environment parameter acquisition module collects real-time water quality parameters of the swimming pool, including but not limited to turbidity, pH value, and redox potential. This module performs anomaly detection analysis on the collected water quality parameters, calculating a comprehensive water quality index and comparing it with preset water quality thresholds. When the index exceeds the limit, a water quality anomaly signal is generated. This signal triggers equipment monitoring commands, instructing the equipment status monitoring module to start operation. Upon receiving the monitoring commands, the equipment status monitoring module collects operating status parameters of the swimming pool water treatment equipment, such as current fluctuations and vibration data. This module performs status assessment analysis on the operating status parameters, generating an equipment status assessment value by comparing with standard spectra and calculating deviations. The signal multiplexing decision module receives the water quality anomaly signal and the equipment status assessment value, performs transmission mode analysis, and generates a power line multiplexing mode command, such as a basic multiplexing mode command or an enhanced multiplexing mode command, based on the degree of water quality anomaly and the equipment status assessment results. The signal transmission control module receives the power line multiplexing mode command, parses the command content to generate carrier frequency control parameters and signal modulation parameters, thereby controlling the multiplexing transmission of signals on the power line. The entire system achieves efficient signal transmission for pool water environment monitoring and equipment status monitoring through the collaborative work of its modules.

[0060] Example 1: See Figure 2In a power line multiplexing signal transmission system based on the pool water environment, the water environment parameter acquisition module is responsible for real-time monitoring and analysis of the pool water quality. This module continuously acquires the physicochemical indicators of the water through a multi-parameter sensor array deployed within the pool's circulation channel. The sensor array includes a turbidity sensor, a pH electrode, and a redox potential probe. These probes acquire data in parallel, with a sampling frequency configurable according to the pool's usage intensity, typically set to once per minute. The acquired raw data is processed by an analog-to-digital converter, converted into digital signals, and input into the microprocessor unit.

[0061] The anomaly detection and analysis process begins with the data standardization phase. The microprocessor performs dimensionless processing on the turbidity, pH, and redox potential (OPP) values ​​acquired in each monitoring cycle. Turbidity values ​​are expressed in NTUs, pH values ​​in acidity-alkalinity index, and OPP in millivolts. Each parameter is mapped to a relative scale of 0-100 through linear transformation. The turbidity transformation considers its non-linear characteristics and employs a piecewise linear interpolation method. The standardized values ​​are then weighted and synthesized according to preset weighting coefficients. These weighting coefficients are set based on the relative importance of each parameter to water quality; the weight for turbidity is typically set to 0.5, for pH to 0.3, and for OPP to 0.2. The resulting weighted comprehensive water quality index is a dimensionless value ranging from 0 to 100.

[0062] The comprehensive water quality index is compared and analyzed against a preset water quality threshold. The preset water quality threshold is dynamically adjusted based on swimming pool hygiene standards and historical operating data, with an initial value typically set at 75. The comparison operation employs a numerical comparison algorithm; when the comprehensive water quality index exceeds the threshold for three consecutive monitoring cycles, it is considered an abnormal state. The generation of the water quality anomaly signal includes an anomaly level identifier, categorized into Level 1 and Level 2 anomalies based on the magnitude of the exceedance. A Level 1 anomaly indicates that the index exceeds the threshold but is below 85, while a Level 2 anomaly indicates that the index reaches or exceeds 85. The water quality anomaly signal is output through a digital communication interface, simultaneously triggering the generation of equipment monitoring instructions. These instructions include a timestamp, anomaly level, and the identifier of the equipment to be monitored.

[0063] Upon receiving a monitoring command, the equipment status monitoring module initiates monitoring of the operating status of the designated water treatment equipment. This module acquires operating parameters of the water pumps, filters, and disinfection equipment through the equipment controller interface. Current fluctuation data is acquired using a Hall effect current sensor, recording the current waveform at a sampling frequency of 1000 times per second, with a continuous acquisition time of at least 10 power cycles. Vibration data is acquired using a piezoelectric accelerometer mounted on the equipment casing, with a sampling frequency set to 2000Hz and an acquisition time window of 30 seconds. The acquired raw data is preprocessed through anti-aliasing filtering and noise reduction before being stored in a buffer memory.

[0064] The condition assessment and analysis phase first processes the current fluctuation data. The current fluctuation spectrum is converted to a frequency domain representation using a Fast Fourier Transform (FFT), and the fundamental frequency and major harmonic components are extracted. The measured current spectrum is compared with a standard current spectrum stored in the database; the standard current spectrum represents the typical current characteristics of the equipment under rated operating conditions. Waveform overlap comparison uses a cross-correlation coefficient algorithm to calculate the similarity between the measured waveform and the standard waveform in the time domain. The cross-correlation coefficient ranges from 0 to 1, with lower values ​​indicating greater differences. The current offset is defined as 1 minus the cross-correlation coefficient, resulting in an offset metric between 0 and 1.

[0065] Vibration spectrum analysis begins with the acquired time-domain vibration signal. After applying the Hanning window function, a Fourier transform is performed to obtain the frequency-amplitude spectrum. Characteristic frequency amplitude values ​​are extracted based on the equipment's rotational frequency, blade passage frequency, and their harmonic components. The amplitude value of each characteristic frequency is compared to a standard amplitude range, which is determined according to the equipment type and rotational speed. Deviation is calculated using a relative deviation algorithm, i.e., the ratio of the difference between the measured amplitude and the median of the standard range to the range span. The deviations of all characteristic frequencies are weighted and averaged to obtain the overall vibration anomaly degree, with weights allocated according to the importance of each frequency component to the equipment's condition.

[0066] The equipment condition assessment value is generated by combining two indicators: current deviation and vibration anomaly. A linear weighted model is used for the synthesis, with a weighting coefficient of 0.6 for current deviation and 0.4 for vibration anomaly. The weighted calculation yields a continuous value between 0 and 1, with higher values ​​indicating worse equipment condition. The assessment result, along with the equipment identifier and timestamp, is encapsulated into a data packet and transmitted to the signal multiplexing decision module via a communication bus. The entire processing is scheduled using a real-time operating system to ensure timely monitoring and response.

[0067] The equipment status monitoring module also includes self-diagnostic functions, periodically calibrating the sensor zero point and range to ensure the accuracy of monitoring data. Digital filtering technology is applied during data acquisition to eliminate the effects of power supply interference and environmental noise. All monitoring data is time-stamped and stored in a circular buffer for historical querying and trend analysis. When the monitored equipment status assessment value exceeds the warning limit, the module generates a status warning signal and sends it to the monitoring center in parallel.

[0068] Example 2: See Figure 3The signal multiplexing decision module, as the core decision-making unit of the system, is responsible for generating corresponding power line multiplexing mode instructions based on the input water quality anomaly signals and equipment status assessment values. This module integrates a microprocessor and decision logic unit, receiving water quality anomaly signals from the water environment parameter acquisition module and equipment status assessment values ​​from the equipment status monitoring module via a data interface. The received data undergoes format parsing and validity verification to ensure data integrity and timeliness. The water quality anomaly signal includes the water quality comprehensive index exceeding the limit and an anomaly level indicator, while the equipment status assessment value is a standardized numerical value.

[0069] The transmission mode analysis process begins with the data retrieval phase. The module extracts the water quality comprehensive index exceedance value from the water quality anomaly signal. This value indicates the degree to which the current water quality parameter deviates from the normal range. The exceedance value is calculated based on the relative deviation between the real-time monitoring value and the preset threshold, expressed as a percentage. Simultaneously, the module reads the equipment status assessment value, which reflects the current operating status of the water treatment equipment. The equipment status assessment value is a floating-point number between 0 and 1; a higher value indicates a less than ideal equipment status.

[0070] Next, a threshold interval comparison analysis is performed. The module internally stores equipment status threshold interval parameters, which are pre-set according to equipment type and operating characteristics. Equipment status threshold intervals are typically divided into three sections: normal operation interval, warning interval, and abnormal interval. The normal operation interval corresponds to a low equipment status assessment value, indicating that the equipment is operating in an ideal state; the warning interval indicates that the equipment has a minor abnormality but can still continue to operate; the abnormal interval indicates that the equipment has a significant risk of failure. The boundary values ​​of each interval are determined through a comprehensive analysis of the technical specifications provided by the equipment manufacturer and historical operating data.

[0071] The decision-making logic is based on a multi-condition judgment principle. When the equipment status assessment value is within the normal operating range, the module generates a basic multiplexing mode instruction. This instruction corresponds to relatively simple signal transmission requirements, assuming that the equipment is operating well and the transmission environment is relatively stable. If the equipment status assessment value enters the attention range, the module will further combine the water quality comprehensive index exceeding the limit for comprehensive judgment. If the water quality comprehensive index exceeding the limit is also at a high level, the module may choose to generate an enhanced multiplexing mode instruction; if the degree of water quality abnormality is minor, it may still choose the basic multiplexing mode.

[0072] When the equipment status assessment value clearly exceeds the normal range and enters the abnormal zone, the module will definitely generate an enhanced multiplexing mode command. This decision is based on the potential deterioration of the transmission environment caused by the abnormal equipment status. The enhanced multiplexing mode command requires a more complex signal processing mechanism to deal with potential transmission interference. In extreme cases, if the equipment status assessment value reaches the upper limit of the range and the comprehensive water quality index also exceeds the limit and is at a severely abnormal level, the module will also add an emergency transmission flag to the command, indicating that the highest level of transmission protection is required.

[0073] The decision-making process also considers time-series factors. The module maintains a historical decision record buffer, recording the results of the most recent analyses. If multiple consecutive enhanced multiplexing mode commands are detected, the module will initiate a trend analysis algorithm to assess whether the system state shows a continuous deterioration trend. This trend analysis helps in preventative decision-making, potentially selecting the enhanced transmission mode before the device state assessment value fully enters the abnormal range.

[0074] The generated power line multiplexing mode instruction contains multiple parameter fields. The instruction header includes a mode type identifier, distinguishing between the basic mode and the enhanced mode. The instruction body contains relevant parameters: for the basic mode, it specifies the basic carrier frequency range and modulation scheme; for the enhanced mode, in addition to carrier parameters, it may also include a spectrum spreading scheme identifier and an error correction scheme selection. The instruction tail includes a timestamp and sequence number to ensure the instruction's traceability.

[0075] The module also features adaptive learning capabilities. Through long-term operation, the module records feedback on the actual transmission effects under different decisions, gradually optimizing the settings of device state threshold ranges and decision logic parameters. This adaptive mechanism enables the system to better adapt to the unique characteristics of a specific swimming pool environment, improving decision accuracy.

[0076] The entire transmission mode analysis process is completed within strict time constraints, with the entire process from data reception to instruction generation controlled within milliseconds, meeting the response requirements of a real-time system. The module employs a redundant design, with primary and backup processing units operating 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 via a standard communication interface. Instruction transmission uses a protocol with error detection to ensure the integrity and accuracy of instructions. The module periodically executes a self-test program to verify the correctness of the decision logic and the availability of the data interface, maintaining the overall operational stability of the system.

[0077] Example 3: See Figure 4The signal transmission control module, as the system's execution unit, is responsible for converting decision commands into specific signal transmission parameters. This module includes an instruction parsing unit, a parameter generation unit, and a modulation control unit. Upon receiving a power line multiplexing mode command from the signal multiplexing decision module, the instruction parsing unit first decodes the command, identifying the mode type and related parameter requirements. Depending on the command type, the module employs different parameter generation strategies.

[0078] For the basic multiplexing mode instruction, the module initiates a load current characteristic analysis program. Current waveform data is captured in real time via a high-frequency sampling circuit connected to the power line. The sampling frequency is set to 2MHz, sufficient to capture the high-frequency characteristics of the power waveform. The acquired current waveform undergoes digital signal processing. First, a digital filter is applied to eliminate random noise, followed by spectrum analysis. The spectrum analysis uses the Discrete Fourier Transform method to identify the main frequency components and amplitude characteristics of the load current. Based on the analysis results, the carrier frequency control parameters are determined following the principle of avoiding major interference frequency bands. Typically, the carrier frequency is set in the valley region of the current spectrum, where the interference intensity is lower. The specific value of the carrier frequency is determined by looking up a table, which stores recommended frequency values ​​for different load characteristics. The frequency shift keying modulation parameters are generated considering channel characteristics. The modulation index is dynamically adjusted based on the signal-to-noise ratio estimate, while the baud rate is set according to data transmission requirements. Forward error correction coding is also added during modulation. The coding scheme is selected based on channel conditions; commonly used schemes include convolutional codes or Reed-Solomon codes. All generated parameters are output to the modulator hardware unit via a digital interface.

[0079] For enhanced multiplexing mode instructions, the module first parses the contaminant type identifier. This identifier is typically a numerical code corresponding to a specific contaminant category. Internally, the module maintains a contaminant-spectrum feature mapping table, which records the impact patterns of different contaminants on power line channel characteristics. The module queries this table based on the contaminant type identifier to obtain the corresponding spectrum spreading scheme identifier. The spectrum spreading scheme defines the carrier frequency adjustment strategy and spectrum usage. Common schemes include band spreading, multi-carrier modulation, and dynamic spectrum allocation. Based on the selected spectrum spreading scheme, the carrier frequency control parameters are generated using a multi-objective optimization method, considering both transmission efficiency and anti-interference capability. The generation process of orthogonal frequency division multiplexing modulation parameters is more complex, requiring the determination of parameters such as the number of subcarriers, subcarrier spacing, and cyclic prefix length. These parameters are determined based on channel estimation results, obtaining the channel frequency response through pilot signal analysis. Orthogonal frequency division multiplexing modulation can provide better frequency diversity and resistance to frequency-selective fading.

[0080] In orthogonal frequency division multiplexing (OFDM) modulation, subcarrier power allocation is a crucial step. This module employs a power allocation algorithm based on channel state information, which can be expressed as:

[0081]

[0082] in: This represents the power allocated to the k-th subcarrier. It is the total transmission power. It is the total number of subcarriers. This is the estimated channel gain of the k-th subcarrier. This allocation method allows subcarriers with better channel conditions to receive more power, thereby improving overall transmission efficiency.

[0083] Real-time environmental factors are also considered during parameter generation. The module continuously monitors the power line's operating status, including voltage fluctuations, load changes, and noise characteristics. This monitoring data is used to dynamically adjust transmission parameters to ensure reliable signal transmission. The generated carrier frequency control parameters and signal modulation parameters are output to the signal generator hardware via a digital control interface, controlling it to generate a modulated signal that meets the requirements.

[0084] The module also features parameter optimization capabilities. By recording historical transmission performance data, it analyzes transmission performance under different parameter combinations and gradually optimizes the parameter generation algorithm. This self-learning mechanism enables the module to adapt to specific installation environments and improves the accuracy of parameter settings. Detailed logs are maintained throughout the parameter generation process, including parameter values, generation time, and relevant environmental data. These logs can be used for subsequent analysis and fault diagnosis.

[0085] The signal transmission control module adopts a modular design, with different functional units operating relatively independently, facilitating maintenance and upgrades. The module features a self-test function, periodically checking the operational status of each unit to ensure the reliability of parameter generation. Interfaces with subsequent hardware units utilize standardized protocols, guaranteeing compatibility and scalability.

[0086] Example 4: See Figure 5 In a power line multiplexing signal transmission system based on a swimming pool water environment, the fault diagnosis feedback module plays a crucial role in continuously monitoring and evaluating signal transmission quality. This module acquires carrier frequency control parameters output by the signal transmission control module in real time, detects abnormal fluctuations in these key parameters, and generates detailed analysis reports. The entire monitoring process operates in a cyclical manner, with each monitoring cycle set to 60 seconds to ensure the capture of instantaneous anomalies and trend changes in signal transmission.

[0087] The module contains a high-precision frequency monitoring unit that generates a reference frequency signal using direct digital synthesis technology and compares it with the actual carrier frequency. During monitoring, the module captures the actual frequency value in the carrier frequency control parameters at a sampling frequency of 100 times per second. These sampled values ​​are first digitally filtered to eliminate random noise interference, and then temporarily stored in a first-in-first-out data buffer.

[0088] The core of abnormal fluctuation detection lies in calculating the continuous offset 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 continuous offset is calculated using a sliding window integration method, with a calculation window of 5 seconds. The absolute values ​​of the frequency deviations of all sampling points within the window are 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 included in the accumulated value.

[0089] When the cumulative cumulative offset exceeds the preset frequency tolerance threshold, the module initiates the diagnostic report generation process. The frequency tolerance threshold is set according to the requirements of the communication system, typically twice the allowable frequency deviation. For example, if the system allows a frequency deviation of ±2Hz, the tolerance threshold might be set to 4Hz. This threshold can be adjusted through configuration parameters based on the actual application environment. To better illustrate the frequency monitoring process, refer to Table 1, which shows a typical frequency monitoring data record table.

[0090] Table 1: Carrier Frequency Monitoring Data Record Table.

[0091]

[0092] The generation of a channel diagnostic report involves multiple analytical dimensions. The report first records basic information about the anomaly, including the occurrence time, duration, maximum offset, and average offset. Then, it performs a preliminary classification of the anomaly type, distinguishing between sudden and gradual anomalies. The report also analyzes possible causes of the anomaly, such as power interference, equipment failure, or environmental factors. The final diagnostic report uses a structured data format, including header information, anomaly description, analysis results, and recommended actions.

[0093] After receiving the channel diagnostic report, the signal multiplexing decision module performs report parsing and status assessment. When the diagnostic report indicates frequency inaccuracy, the module decides whether to trigger a transmission mode reset command based on the severity and duration of the inaccuracy. The generation of the reset command follows a tiered response principle: for minor and brief frequency inaccuracies, only the carrier frequency may be adjusted; for severe and persistent frequency inaccuracies, the transmission mode may be completely switched.

[0094] The transmission mode reset command includes specific adjustment parameters, such as a new carrier frequency value, modulation scheme change indication, or transmission power adjustment value. The command is sent to the signal transmission control module via a digital communication interface, triggering the corresponding parameter reconfiguration process. The entire response process is designed for automated processing, with the latency from diagnostic report generation to command execution controlled within 100 milliseconds.

[0095] The fault diagnosis feedback module also features historical data recording capabilities. All monitoring data and diagnostic reports are timestamped and stored in non-volatile memory. This historical data can be used for trend analysis and preventative maintenance. By analyzing long-term operating data, the module can learn the interference characteristics of specific environments, optimize the setting of frequency tolerance thresholds, and improve diagnostic accuracy.

[0096] The module's operational status is continuously monitored, and a self-test procedure is periodically executed to verify the accuracy of the frequency monitoring unit. During the self-test, the module generates a test signal of a known frequency to verify whether the measurement accuracy of the monitoring unit remains within the allowable range. If a deviation is detected in the monitoring unit, a calibration procedure is automatically initiated to ensure the reliability of the monitoring data.

[0097] The entire fault diagnosis and 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 interference situations that may occur in the swimming pool environment, ensuring the reliability and continuity of signal transmission. All operation logs and diagnostic records can be queried through the system interface, providing maintenance personnel with detailed operation history and analytical basis.

[0098] Example 5: The emergency communication switching module serves as a backup communication guarantee mechanism in the system, activated under specific conditions to maintain the continuity of signal transmission. This module continuously monitors the output commands of the signal multiplexing decision module. When it detects a continuous generation of enhanced multiplexing mode commands, it initiates the emergency response process. The determination of continuous generation is based on the command count within a time window. The default time window is set to ten minutes. If three or more enhanced multiplexing mode commands are received during this period, it is determined to be a continuous generation state.

[0099] Internally, the module maintains a state machine to track the system's communication status. The state machine contains multiple state nodes, including normal operation, warning, and emergency states. When entering an emergency state, the module sends an activation command to the power line communication backup channel controller. The activation process first performs a channel availability check, confirming the physical connection status and basic communication capabilities of the backup channel by sending probe signals and monitoring the responses.

[0100] The powerline communication backup channel uses an independent powerline routing path, maintaining physical topology separation from the primary transmission channel. Activation of the backup channel involves two phases: hardware switchover and software protocol initialization. The hardware switch controls the relay group of the powerline router, switching the signal transmission path to the backup line. Software protocol initialization re-establishes the communication session, negotiates transmission parameters, and synchronizes the data buffer.

[0101] Harmonic interference intensity detection is a critical step in the emergency switching process. The module acquires power line signals through a spectrum analysis unit connected to the power line, with a sampling frequency covering the 0 to 100 kHz band. The acquired signals undergo Fast Fourier Transform to obtain a spectrum, from which the amplitude characteristics of each harmonic are extracted. The total harmonic distortion (THD) is calculated based on the amplitude data of the first 31 harmonics, using a sum of squares and square root method to obtain a quantitative index.

[0102] The setting of the communication interference threshold takes into account the specific requirements of the communication protocol. For commonly used power line communication protocols, the interference threshold is typically set within the range of 8% to 15% of the total harmonic distortion (THD). The actual threshold value is dynamically adjusted based on field measurement data to adapt to different power line environmental characteristics. The threshold adjustment algorithm is based on historical communication quality data and uses a sliding window averaging method to calculate the optimal threshold.

[0103] When the measured harmonic interference intensity is below the communication interference threshold, the module activates a parallel transmission mode with primary and backup channels. In this mode, both the primary and backup channels remain active simultaneously, and the data stream is distributed across both channels for transmission. The data allocation strategy employs a load balancing algorithm, dynamically adjusting the data load on each channel based on real-time channel quality. Parallel transmission provides redundancy assurance; a temporary failure of a single channel will not affect the overall communication continuity.

[0104] When harmonic interference exceeds the communication interference threshold, the module activates a standby channel independent transmission mode. In this mode, the primary channel is completely disabled, and all communication traffic is switched to the backup channel. The switching process employs seamless switching technology, using data buffering and sequence number preservation mechanisms to ensure no data loss or duplication occurs during transmission. While the independent transmission mode sacrifices transmission capacity, it provides higher communication reliability.

[0105] The signal transmission control module receives channel identification information from the emergency communication switching module. The channel identification uses a binary encoding format and includes channel type, physical address, and status information. The control module updates the signal output routing table and adjusts the output parameters of the signal transmitter based on the channel identification. Output path switching is achieved through a digital switch array, with switching time controlled at the millisecond level to meet real-time communication requirements.

[0106] The module also implements a complete status monitoring mechanism. It continuously monitors the operational status of the backup channel, including metrics such as signal strength, bit error rate, and transmission latency. This monitoring data is used to evaluate the service quality of the backup channel and trigger further adjustments when necessary. Monitoring data is logged to the system log for subsequent analysis and optimization.

[0107] The emergency communication switching module has self-healing capabilities. When the interference level of the main channel is detected to have decreased to an acceptable range, the module will automatically attempt to restore main channel communication. The recovery process adopts a gradual strategy, first tentatively enabling the main channel while keeping the backup channel active, verifying communication stability, and then gradually increasing the load ratio of the main channel. This design minimizes service interruption time.

[0108] All switching operations and status changes generate detailed event logs, including timestamps, operation types, channel status, and performance metrics. Log information is provided externally through the system management interface, supporting remote querying 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.

[0109] The entire emergency communication switching process is designed to operate fully automatically, requiring no manual intervention. The module's built-in decision-making algorithm makes optimal switching decisions based on real-time monitoring data, ensuring reliable communication services under various abnormal conditions. This design enhances the system's robustness and availability, providing crucial support for the continuous transmission of pool water environment monitoring data.

[0110] Example 6: In a signal transmission system based on power line multiplexing in a swimming pool water environment, the signal transmission control module relies on power line carrier technology to build a parameter acquisition network covering all key equipment and environmental monitoring points in the swimming pool. This enables the unified acquisition and transmission of operating parameters of multiple types of equipment, and combines parameter analysis to perceive the real-time environmental status of the swimming pool, providing comprehensive data support for the generation of abnormal water quality signals.

[0111] This module uses a preset carrier communication protocol to load a specific frequency carrier signal onto the existing power supply line of the swimming pool. This carrier signal can penetrate line impedance interference and establish communication connections with equipment monitoring nodes distributed in different areas of the pool. For water pumps, the module collects their operating status parameters via the carrier signal, including the operating current waveform of the pump motor, operating speed, and inlet and outlet water pressure values. These parameters provide real-time feedback on whether the pump is in a normal water circulation state. For sand filters, the module focuses on collecting the filtration pressure difference data and backwash trigger status inside the sand filter to determine whether the sand filter function is effective. For heat pumps, the module collects the heating power, refrigerant circulation pressure, and outlet water temperature parameters to understand the operation of the water temperature control system. In the monitoring of underwater lights, the module obtains the operating voltage stability, brightness output value, and fault alarm signals of the lights via the carrier signal to understand the status of the lighting system. At the same time, the module also uses a temperature sensor connected to the power line to collect real-time temperature data of the pool water, forming water temperature status parameters.

[0112] All collected equipment operating parameters and water temperature parameters are transmitted to the signal multiplexing decision module via power line carrier signals. After receiving these parameters, the signal multiplexing decision module combines them with basic water quality parameters such as turbidity, pH value, and oxidation-reduction potential obtained by the water environment parameter acquisition module to perform multi-dimensional correlation analysis, achieving a comprehensive perception of the pool environment: Based on the water turbidity parameter, it judges the clarity of the water; if the turbidity value exceeds the standard range, it directly reflects that the water is turbid; combined with the water temperature parameter and the pool's usage scenario requirements, it determines whether the water temperature is within a suitable range; and through the brightness output value of the underwater lights and the ambient light data collected by the ambient light sensor (connected to the power line communication network), it comprehensively assesses whether the pool's ambient light is sufficient to meet the lighting requirements.

[0113] When analysis reveals abnormal water turbidity, water temperature deviating from the appropriate range, insufficient ambient light affecting normal pool use, or abnormal operating parameters of equipment such as water pumps, sand filters, and heat pumps impairing water quality regulation, the signal multiplexing decision module integrates this abnormal information and generates corresponding water quality anomaly signals according to the anomaly judgment logic of the water environment parameter acquisition module. For example, if excessive pressure differential in the sand filter leads to filtration failure and consequently increases water turbidity, the module will correlate the abnormal sand filter operating parameters with the abnormal turbidity parameters, generating a water quality anomaly signal caused by equipment failure. If the water temperature is below the standard range and the heat pump heating power is insufficient, a water quality-related anomaly signal caused by abnormal water temperature regulation will be generated. This water quality anomaly signal triggers equipment monitoring commands, prompting the equipment status monitoring module to further conduct a detailed status assessment of the anomaly-related equipment, forming a closed-loop process of "parameter acquisition - environmental perception - anomaly judgment - equipment retesting," ensuring accurate monitoring of the pool environment and equipment operating status.

[0114] Example 7: When the signal transmission system based on power line multiplexing in the pool water environment is running, the water environment parameter acquisition module will include oxidation-reduction potential (ORP) as the core water quality parameter in real-time acquisition. Through the dedicated ORP probe deployed in the pool circulation pipe, the actual test value of water ORP is collected at a fixed cycle of once per hour. At the same time, the target ORP value for the corresponding time period (set to 680mV according to the pool hygiene standard) is retrieved from the system preset parameter library. The actual value and the target value are accompanied by a timestamp accurate to the minute and stored together in the module's local cache.

[0115] When performing anomaly detection and analysis, this module first calculates the difference between the actual ORP test value and the target value for each collected value, obtaining the instantaneous offset. At timestamp 10:30:00, the actual test value is 620mV, with an instantaneous offset of 60mV; at 11:30:00, the actual value rises to 650mV, and the offset drops to 30mV; at 12:30:00, the actual value matches the target value, with an offset of 0; at 15:30:00, the actual value is 670mV, with an offset of 10mV; at 19:30:00, the actual value falls back to 650mV, with an offset of 30mV. The module compares these instantaneous offsets with a preset 20mVORP offset threshold. If the threshold is exceeded, the ORP parameter is determined to be abnormal, triggering the water quality anomaly signal generation process. Refer to Table 2, which shows a typical ORP parameter monitoring and corresponding system response data table.

[0116] Table 2. ORP parameter monitoring and corresponding system response data.

[0117]

[0118] At 10:30:00 and 11:30:00, the instantaneous offset exceeded the threshold, and the water environment parameter acquisition module generated a water quality anomaly signal containing ORP anomaly information, marking the anomaly type, timestamp, offset and target value. At the same time, based on the signal, the device monitoring command was automatically triggered to specify the monitoring of the pool salt chlorinator (the chlorination amount of the salt chlorinator directly affects the water ORP, and ORP anomalies may be related to the operation of the salt chlorinator).

[0119] Upon receiving a monitoring command for the salt chlorinator, the equipment status monitoring module immediately collects its operating status parameters. Through the communication interface with the salt chlorinator controller, it continuously collects data for 10 seconds at a sampling frequency of 500 times per second to obtain a current fluctuation spectrum; and through a vibration sensor installed on the motor housing of the salt chlorinator, it collects data for 20 seconds at a sampling frequency of 1000Hz to obtain a vibration spectrum, ensuring the capture of subtle vibration characteristics of the equipment.

[0120] The module performs a status assessment analysis on the operating parameters: It compares the current fluctuation spectrum with the standard current spectrum of the salt chlorinator at its rated power stored in the system, using a waveform comparison algorithm to calculate the overlap. If the overlap is less than 90%, the current deviation is calculated—at 10:30:00, the overlap is 82%, and the current deviation is 18%; at 11:30:00, the overlap is 86%, and the deviation is 14%. Simultaneously, it extracts the characteristic frequency amplitude value corresponding to the motor rotation frequency from the vibration spectrum, and calculates the deviation from the standard amplitude range of 5-10μm to obtain the vibration anomaly degree—at 10:30:00, the amplitude value is 13μm, and the anomaly degree is 30%; at 11:30:00, the amplitude value is 11μm, and the anomaly degree is 10%. The module calculates the equipment status assessment value comprehensively, with a preset weighting of 60% for current deviation and 40% for vibration anomaly degree: 15.2% at 10:30:00 and 10.4% at 11:30:00.

[0121] After receiving the abnormal water quality signal (ORP) and the chlorinator status assessment value, the signal multiplexing decision module performs transmission mode analysis: it retrieves the instantaneous ORP offset to determine the degree of water quality abnormality, and then compares the equipment status assessment value with the preset threshold ranges of "normal 0-10%, caution 10%-20%, and abnormal above 20%". At 10:30:00, the assessment value is 15.2% (caution range) and the ORP offset is 60mV (relatively serious abnormality), generating an enhanced multiplexing mode command; at 11:30:00, the assessment value is 10.4% (caution range) and the ORP offset is 30mV (abnormality mitigated), and considering the improvement in the chlorinator current fluctuation, an enhanced multiplexing mode command is still generated.

[0122] At 12:30:00, the actual ORP value matched the target value, with no abnormal water quality signals. The equipment status monitoring module received no new instructions. After receiving routine data, the signal multiplexing decision module determined that the water quality was normal and the chlorinator status assessment value was 8.5% (normal range), generating a basic multiplexing mode instruction. At 15:30:00, the actual ORP value was 670mV with an offset of 10mV (normal), and the chlorinator assessment value was 9.2% (normal range), generating a basic multiplexing mode instruction. At 19:30:00, the actual ORP value was 650mV with an offset of 30mV (abnormal), and the chlorinator assessment value was 12.8% (caution range), generating an enhanced multiplexing mode instruction.

[0123] After receiving the multiplexing mode command, the signal transmission control module parses and generates the corresponding carrier frequency control parameters and signal modulation parameters: When receiving the enhanced multiplexing mode command (10:30:00, 11:30:00, 19:30:00), it obtains the "insufficient chlorine content" pollutant type identifier corresponding to the ORP anomaly, matches the preset "narrowband spectrum spread" scheme, sets the carrier frequency to 100-150kHz (to avoid low-frequency interference), and uses orthogonal frequency division multiplexing modulation to generate parameters containing the number of subcarriers and modulation order to ensure the transmission of salt chlorinator control commands; When receiving the basic multiplexing mode command (12:30:00, 15:30:00), it extracts the power line load current waveform characteristics, analyzes the harmonic and fluctuation patterns, sets the carrier frequency to 80-120kHz or 90-130kHz (to avoid harmonic overlap) according to the load fluctuation, and uses frequency shift keying modulation to generate parameters to ensure stable command transmission.

[0124] The fault diagnosis feedback module continuously receives carrier frequency control parameters and monitors the actual frequency value in real time: at 10:30:00, the target frequency is 120kHz. The module collects the actual value 100 times per second and calculates the continuous offset within a 5-second sliding window. If the offset does not exceed the 4kHz tolerance threshold, the transmission is considered normal. If the offset exceeds the threshold, a channel diagnosis report is generated and sent to the signal multiplexing decision module to trigger a transmission mode reset command, adjust the parameters, and restore transmission.

[0125] The emergency communication switching module continuously monitors the multiplexing mode commands. After detecting the continuous enhanced commands at 10:30:00 and 11:30:00, it activates the power line communication backup channel: first, it detects the power line harmonic interference intensity, and calculates the total harmonic distortion rate through spectrum analysis. When it is below the 10% communication interference threshold, it enables the main and backup channels to transmit the salt chlorinator control commands in parallel; when it is above the threshold, it enables the backup channel to transmit independently, ensuring that the commands are delivered reliably, realizing precise adjustment of the salt chlorinator power, and gradually adjusting the water body ORP value to the target range, such as recovering to 680mV at 12:30:00, maintaining 670mV at 15:30:00, and stabilizing after fluctuations at 19:30:00.

[0126] It should be noted that, in this document, 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. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0127] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A signal transmission system based on power line multiplexing in a swimming pool water environment, characterized by, include: The water environment parameter acquisition module is used to collect water quality parameters of the pool water in real time, generate water quality anomaly signals by analyzing and judging the water quality parameters, and trigger equipment monitoring commands based on the water quality anomaly signals. The equipment status monitoring module is used to collect the operating status parameters of the pool water treatment equipment after receiving equipment monitoring instructions, and generate equipment status assessment values ​​by performing status assessment analysis on the operating status parameters. The signal multiplexing decision module is used to receive water quality anomaly signals and equipment status assessment values, and generate power line multiplexing mode instructions by performing transmission mode analysis on the water quality anomaly signals and equipment status assessment values. The signal transmission control module is used to receive power line multiplexing mode commands and generate carrier frequency control parameters and signal modulation parameters by parsing the power line multiplexing mode commands. When the signal multiplexing decision module performs transmission mode analysis: The system retrieves the water quality comprehensive index exceeding the limit corresponding to the water quality anomaly signal; compares and analyzes the equipment status assessment value with the equipment status threshold range; the equipment status threshold range is divided into a normal operation range, a warning range, and an abnormal range; when the equipment status assessment value is in the normal operation range, a basic reuse mode instruction is generated; when the equipment status assessment value enters the warning range, a comprehensive judgment is made in conjunction with the water quality comprehensive index exceeding the limit; if the water quality comprehensive index exceeding the limit is at a high level, an enhanced reuse mode instruction is generated; if the water quality anomaly is minor, a basic reuse mode instruction is generated; when the equipment status assessment value exceeds the normal operation range and enters the abnormal range, an enhanced reuse mode instruction is generated. When the signal transmission control module responds to the basic multiplexing mode command: Extract the waveform characteristics of the current power line load current; The carrier frequency control parameters are determined based on the characteristics of the load current waveform; signal modulation parameters are generated using frequency shift keying modulation. When the signal transmission control module responds to the enhanced multiplexing mode command: Obtain the pollutant type identifier corresponding to the water quality comprehensive index exceeding the limit; match the preset spectrum expansion scheme according to the pollutant type identifier; generate carrier frequency control parameters based on the spectrum expansion scheme; and generate signal modulation parameters using orthogonal frequency division multiplexing modulation.

2. The signal transmission system for power line multiplexing based on a swimming pool water environment according to claim 1, characterized in that, When the water environment parameter acquisition module performs anomaly detection analysis: The water quality index is obtained by standardizing the turbidity, pH, and redox potential values ​​of the water body during the current monitoring period. The comprehensive water quality index is compared with a preset water quality threshold. When the comprehensive water quality index exceeds the preset water quality threshold, a water quality anomaly signal is generated.

3. The signal transmission system for power line multiplexing based on a swimming pool water environment according to claim 2, characterized in that, When the equipment status monitoring module performs status assessment and analysis: Obtain the current fluctuation spectrum and vibration spectrum of the water treatment equipment; The current deviation is obtained by comparing the waveform overlap between the current fluctuation spectrum and the standard current spectrum. The vibration anomaly degree is generated by extracting the characteristic frequency amplitude values ​​from the vibration spectrum and calculating the deviation from the standard amplitude range. The equipment condition assessment value is generated by combining the current offset and vibration anomaly.

4. The signal transmission system for power line multiplexing based on a swimming pool water environment according to claim 1, characterized in that, Also includes: The fault diagnosis feedback module is used to receive the carrier frequency control parameters from the signal transmission control module and generate a channel diagnosis report by detecting abnormal fluctuations in the carrier frequency control parameters. The signal multiplexing decision module is also used to receive channel diagnostic reports, and triggers a transmission mode reset command when the channel diagnostic report shows frequency inaccuracy.

5. The signal transmission system for power line multiplexing based on a swimming pool water environment according to claim 4, characterized in that, When the fault diagnosis feedback module performs abnormal fluctuation detection: Monitor the actual frequency values ​​of carrier frequency control parameters; Calculate the continuous offset between the actual frequency value and the target frequency value; A channel diagnostic report is generated when the cumulative offset exceeds the frequency tolerance threshold.

6. The signal transmission system for power line multiplexing based on a swimming pool water environment according to claim 1, characterized in that, Also includes: The emergency communication switching module is used to activate the power line communication backup channel when the signal multiplexing decision module continuously generates enhanced multiplexing mode instructions; The signal transmission control module is also used to receive the channel identifier of the power line communication backup channel and switch the signal output path.

7. The signal transmission system for power line multiplexing based on a swimming pool water environment according to claim 6, characterized in that, 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, the main and backup channels are activated in parallel transmission mode. When the harmonic interference intensity is higher than the communication interference threshold, the standby channel independent transmission mode is activated.

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