Main unit positive and negative rotation warning and door falling control system

Abstract

The invention relates to a main unit positive and negative rotation warning and door falling control system. The system comprises a positive and negative rotation monitoring module, a wireless transmission module, a visual warning lamp device, an upper computer monitoring system and an automatic door falling control mechanism. The forward and reverse rotation monitoring module detects the rotation direction of a water pump shaft through a Hall two-channel sensor and sends monitoring data to a remote control center through the wireless transmission module. The visual warning lamp device indicates forward rotation or reverse rotation of the main unit according to the received signal state, and triggers sound-light alarm when reverse rotation occurs. And the upper computer monitoring system receives and analyzes the state data of the main unit, and automatically sends a door falling instruction when a reverse rotation fault is detected. And the automatic door falling control mechanism executes door falling operation so as to prevent equipment damage or runaway accidents caused by reverse rotation faults of the main unit. The safety, the intelligent level and the response speed of operation of the pump station are improved, and the system is suitable for unit equipment needing efficient monitoring in water conservancy projects.

Description

Technical Field

[0001] The present application relates to the field of control technology, and in particular to a host unit forward and reverse rotation warning and door drop control system. Background Art

[0002] In water conservancy pump station projects, the main unit usually uses a shaft-type tubular pump to transport water. The operating status of these pump stations is directly related to the safety and stability of water conservancy scheduling. In the prior art, the main unit usually relies on manual inspections to determine the forward and reverse rotation status of the water pump and take corresponding operational measures to ensure the normal operation of the unit. Traditional inspection methods have lags and it is difficult to detect reverse failures in a timely manner, which affects equipment safety and operating efficiency.

[0003] The current main unit monitoring system mainly relies on limited sensor data and manually reads monitoring signals to determine the unit status. This approach has the following major problems: First, manual inspections rely on experience, which may lead to incorrect operations due to visual misjudgment or delayed response; second, there is a lack of automated protection mechanisms. When the main unit reverses, emergency measures cannot be taken immediately, which can easily lead to equipment damage or even serious accidents; in addition, the remote monitoring capability is insufficient, and managers cannot grasp the operating status of the unit in real time, thereby reducing the efficiency and safety of equipment management.

[0004] Therefore, it is necessary to develop a host unit forward and reverse rotation warning and door drop control system. Summary of the invention

[0005] The present application provides a main unit forward and reverse rotation warning and door drop control system to improve the safety, intelligence level and response speed of pump station operation.

[0006] The present application provides a host unit forward and reverse alarm and door drop control system, comprising: A forward and reverse monitoring module is used to monitor the rotation direction of the main unit water pump shaft. The forward and reverse monitoring module includes a Hall dual-channel sensor and a flexible toothed magnetic steel belt installed on the water pump shaft bracket. The Hall dual-channel sensor generates a corresponding forward or reverse switch signal by detecting the signal phase difference of the flexible toothed magnetic steel belt, and transmits the switch signal to the wireless transmission module; The wireless transmission module includes a wireless transmitting unit and a wireless receiving unit. The wireless transmitting unit is connected to the forward and reverse monitoring module and is used to transmit the forward or reverse switch signal to a remote wireless receiving unit in a wireless manner. After receiving the signal, the wireless receiving unit transmits the signal to the upper computer monitoring system and outputs it to the visual warning light device at the same time. A visual warning light device is connected to the wireless receiving unit and controls the state of the warning light based on the received switch signal; The upper computer monitoring system is connected to the wireless receiving unit and receives the forward or reverse signal of the host group through the PLC control module. The operating status of the host group is displayed in real time on the monitoring interface. When a reverse failure of the host group is detected, a door-dropping command is sent to the automatic door-dropping control mechanism. The automatic door-dropping control mechanism comprises a relay control unit and a hydraulic actuator. After receiving a door-dropping instruction sent by a host computer monitoring system, the relay control unit drives the hydraulic actuator to make the rapid gate perform a door-dropping operation.

[0007] Furthermore, the forward and reverse monitoring module includes a signal self-calibration unit, and the signal self-calibration unit includes a data acquisition module, a threshold adjustment circuit and an error correction algorithm execution module. The data acquisition module is used to continuously record the detection signal of the Hall dual-channel sensor during the operation of the host group and store it in the local storage unit; The threshold adjustment circuit calculates the signal fluctuation range based on the historical signal strength recorded by the data acquisition module, and dynamically adjusts the signal threshold of the Hall dual-channel sensor to adapt to the rotation state of the water pump shaft under different load conditions; The error correction algorithm execution module adopts adaptive filtering technology, combined with the time series analysis of the sensor signal, to filter possible signal interference or mutation data to ensure the accuracy of forward and reverse discrimination and reduce misjudgment caused by signal fluctuations or external interference.

[0008] Furthermore, the wireless transmitting unit and the wireless receiving unit of the wireless transmission module are implemented using LORA communication technology, including a signal enhancement unit and an interference shielding circuit; The signal enhancement unit includes a high-gain antenna and a signal amplification circuit. The high-gain antenna can expand the coverage of the wireless signal, so that the host group monitoring signal can be stably transmitted over a long distance; the signal amplification circuit is used to dynamically adjust the gain of the low-power signal so that the signal can still maintain a strong signal quality when penetrating obstacles or in a high-humidity environment; The interference shielding circuit consists of a low-pass filter and a signal correction module. The low-pass filter is used to block high-frequency electromagnetic interference and prevent signal noise from external devices from affecting data transmission. The signal correction module performs packet loss compensation or erroneous data recovery based on the integrity analysis of the received signal to improve the anti-interference capability of wireless communication.

[0009] Furthermore, the visual warning light device includes a multi-level alarm mode, which is composed of an alarm signal control circuit, a warning light driving module and a buzzer control unit, and is used to automatically adjust the alarm strategy according to the severity and duration of the reversal fault of the host group; Among them, the alarm signal control circuit receives the forward and reverse signals from the wireless receiving unit, and records the fault duration through the built-in time calculation module. In the case of a short-term reversal, the warning light is controlled to stably display the second color to provide a general visual prompt; when the fault duration exceeds the preset threshold, the warning light enters a flashing mode and adjusts the flashing frequency to enhance the obviousness of the fault prompt; when the fault duration reaches an emergency level, the warning light flashes at a high frequency and controls the buzzer to sound in a variable frequency mode, prompting the operating personnel of possible emergency situations in different audio modes.

[0010] Furthermore, the host computer monitoring system includes an intelligent data analysis module, which is composed of a data acquisition unit, a trend analysis algorithm and a remote data synchronization module, and is used to perform trend analysis based on historical operation data and real-time status data, and trigger an early warning signal in advance under abnormal circumstances; Among them, the data acquisition unit is connected to the wireless receiving unit to record the operating parameters of the host group in real time and store them in the local database; the trend analysis algorithm is based on the multivariate time series analysis method, combined with the historical operating data, environmental parameters and load changes of the host group, to establish a prediction model for the equipment operating status and calculate the probability of reversal failure in the future; the remote data synchronization module is connected to the remote monitoring platform, and when an abnormal trend is found, an early warning signal is sent to the management center through the network so that the operating personnel can intervene and maintain in advance.

[0011] The technical solution proposed in this application has the following beneficial technical effects: (1) Using wireless transmission modules and host computer monitoring systems, remote monitoring of the forward and reverse status of the main unit can be achieved, improving management efficiency and response speed. (2) The forward and reverse status can be distinguished by the color of the warning light, and the buzzer sound and light alarm can be triggered in the event of a reverse failure, thereby improving the intuitive perception of the operating personnel and reducing the risk of misjudgment. (3) When the host unit is detected to be reversed, the system can automatically trigger the door drop control mechanism and quickly execute the gate closing operation to prevent equipment damage or runaway accidents caused by the unit's reverse rotation. (4) Through PLC control and host computer data analysis, automatic judgment and control can be achieved without manual intervention, effectively improving the safety and intelligence level of the pump station operation, and is suitable for the management needs of modern water conservancy projects with no or few personnel on duty. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 It is a schematic diagram of a host unit forward and reverse rotation warning and door drop control system provided in the first embodiment of the present application. DETAILED DESCRIPTION

[0013] Many specific details are described in the following description to facilitate a full understanding of the present application. However, the present application can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of the present application, so the present application is not limited by the specific implementation disclosed below.

[0014] The first embodiment of the present application provides a host unit forward and reverse warning and door drop control system. Figure 1 , which is a schematic diagram of the first embodiment of the present application. Figure 1 A host unit forward and reverse rotation warning and door drop control system is described in detail in the first embodiment of the present application.

[0015] The host group forward and reverse warning and door-dropping control system includes a forward and reverse monitoring module 101, a wireless transmission module 102, a visual warning light device 103, a host computer monitoring system 104 and an automatic door-dropping control mechanism 105.

[0016] The forward and reverse monitoring module 101 is used to monitor the rotation direction of the main unit water pump shaft. The forward and reverse monitoring module includes a Hall dual-channel sensor and a flexible toothed magnetic steel belt installed on the water pump shaft bracket. The Hall dual-channel sensor generates a corresponding forward or reverse switching signal by detecting the signal phase difference of the flexible toothed magnetic steel belt, and transmits the switching signal to the wireless transmission module.

[0017] The forward and reverse monitoring module 101 is used to monitor the rotation direction of the main unit water pump shaft in real time and generate an accurate rotation status signal. The module is mainly composed of a Hall dual-channel sensor, a flexible toothed magnetic steel belt, a signal processing unit and related installation structures. Among them, the Hall dual-channel sensor is fixedly installed on the water pump shaft bracket, while the flexible toothed magnetic steel belt is tightly wrapped or fixed on the surface of the water pump shaft and maintains precise alignment with the sensor's detection area to ensure the accuracy and stability of the detection data. The flexible toothed magnetic steel belt is made of high magnetic permeability material and processed according to the set modulus and tooth structure, so that it can form a stable magnetic field change signal during the rotation of the shaft for accurate detection by the Hall dual-channel sensor.

[0018] The Hall dual-channel sensor is a magnetic field sensing device with phase difference detection capability. It has two independent sensing channels, which respectively record the magnetic field signal generated when the magnetic steel belt passes through the sensor. Due to the toothed structure of the magnetic steel belt, when the water pump shaft rotates, the signal sensed by the sensor is a periodically changing pulse signal. If the water pump shaft rotates in the set clockwise direction, that is, it is in the forward state, the first channel signal (channel A) of the sensor is 90° ahead of the second channel signal (channel B). At this time, the signal processing unit can determine the running direction of the main unit based on the phase difference analysis and output the forward switch signal. If the water pump shaft rotates counterclockwise, that is, a reverse fault occurs, the B channel signal leads the A channel signal by 90°, and the signal processing unit immediately determines the reverse state and generates a reverse switch signal.

[0019] The switch signal output by this module can be directly used as the input signal of the subsequent control logic to ensure that the system can respond quickly and take corresponding safety measures. The signal processing unit integrates an anti-interference filter circuit to eliminate possible noise signals, and has signal amplification and shaping functions to ensure that the output signal can meet the requirements of the subsequent wireless transmission module. In addition, the forward and reverse monitoring module 101 also includes a self-check mechanism. During the system startup or maintenance process, the working status of the Hall sensor and the signal processing unit can be detected to ensure that the module is always in normal operation and can send a warning signal when an abnormality occurs.

[0020] To ensure detection accuracy, the module's dual-channel Hall sensor needs to maintain a stable gap with the flexible toothed magnetic steel belt to ensure signal accuracy. Usually, the gap is optimized based on the characteristics of the magnetic steel belt and the sensitivity of the sensor to reduce the impact of environmental factors (such as temperature changes, vibration, etc.) on detection accuracy. In addition, the flexible toothed magnetic steel belt is installed on the water pump shaft in a specific fixing method to prevent slippage or dislocation caused by high-speed rotation, thereby ensuring long-term stability and reliability.

[0021] In summary, the forward and reverse monitoring module 101 realizes accurate judgment of the rotation state of the water pump shaft of the main unit through the phase difference detection of the Hall dual-channel sensor, and generates reliable switching signals after data optimization through the signal processing unit, ensuring that the system can accurately identify the forward and reverse states of the main unit, and provide high-precision data input for subsequent wireless transmission, visual warnings and automatic protection.

[0022] Furthermore, the forward and reverse monitoring module includes a signal self-calibration unit, and the signal self-calibration unit includes a data acquisition module, a threshold adjustment circuit and an error correction algorithm execution module. The data acquisition module is used to continuously record the detection signal of the Hall dual-channel sensor during the operation of the host group and store it in the local storage unit; The threshold adjustment circuit calculates the signal fluctuation range based on the historical signal strength recorded by the data acquisition module, and dynamically adjusts the signal threshold of the Hall dual-channel sensor to adapt to the rotation state of the water pump shaft under different load conditions; The error correction algorithm execution module adopts adaptive filtering technology, combined with the time series analysis of the sensor signal, to filter possible signal interference or mutation data to ensure the accuracy of forward and reverse discrimination and reduce misjudgment caused by signal fluctuations or external interference.

[0023] In the process of detecting the rotation state of the water pump shaft of the main unit, the forward and reverse monitoring module further includes a signal self-calibration unit in order to ensure long-term stability and accuracy. The signal self-calibration unit is composed of a data acquisition module, a threshold adjustment circuit and an error correction algorithm execution module to improve the detection sensitivity and adapt to the operating state of the water pump shaft under different load conditions to avoid misjudgment due to sensor sensitivity attenuation or external environmental interference.

[0024] The data acquisition module is electrically connected to the Hall dual-channel sensor, and can continuously record the magnetic field signal detected by the sensor during the entire life cycle of the host unit, and store the signal data in the local storage unit. The module can not only record the current forward and reverse state signal, but also store the historical operation data within a certain period of time, thereby forming a time-based signal trend analysis. The data storage adopts a circular overwrite method. When the storage space is limited, the most recent operation data is retained first to ensure the timeliness of the monitoring results. In addition, the module also has a data integrity check function. When storing data, the signal will be verified to ensure the accuracy of data storage and prevent misjudgment caused by storage errors.

[0025] The threshold adjustment circuit is used to calculate the signal fluctuation range based on the historical signal strength recorded by the data acquisition module, and dynamically adjust the signal threshold of the Hall dual-channel sensor to adapt to the changes in the rotation state of the pump shaft under different load conditions. Since the main unit may have large changes in speed and load under different working conditions, the fixed threshold is prone to signal misjudgment. Therefore, the circuit adopts a dynamic adjustment method to optimize the signal discrimination standard of the sensor according to the operating characteristics of the main unit. The core principle of threshold adjustment is to use historical data to calculate the mean and fluctuation range of the signal, and automatically adjust the trigger threshold of the Hall dual-channel sensor by comparing the deviation between the current signal and the historical mean. For example, in the case of long-term low-load operation, the signal may be weak, and the system will lower the discrimination threshold to enhance sensitivity; while in high-load and high-speed operation, the signal is strong, and the system will appropriately increase the threshold to avoid false triggering. While adjusting the threshold, the circuit also has the ability to identify abnormal states, and can detect sudden signal anomalies, such as interference signals or sensor failures, and trigger an alarm or switch to the default threshold mode when an abnormal situation is detected to ensure the stability of the system.

[0026] The realization of the threshold adjustment circuit requires the combination of three key parts: signal detection, data analysis, and dynamic adjustment. First, after the initial acquisition of the signal from the Hall dual-channel sensor, it will enter the signal processing unit, which has an amplification circuit and a filter circuit inside to ensure the stability of the signal and eliminate short-term noise. Based on the signal processing, the data analysis module will extract the average signal strength over a period of time from the stored historical data and calculate its range of variation to determine the signal baseline value and fluctuation range under the current operating environment.

[0027] The core of dynamic adjustment is a programmable comparator network that compares the real-time signal strength with the calculated historical baseline value and adjusts the sensor's trigger threshold according to the deviation. If the real-time signal is lower than the historical average, but still within the acceptable error range, the system will lower the judgment threshold so that weak signals can still be accurately identified; conversely, if the signal strength is significantly higher than the normal fluctuation range, the threshold will be increased accordingly to prevent misjudgment. When performing adjustments, the system will set a change rate to avoid affecting stability due to rapid changes in the threshold caused by sudden changes in the environment.

[0028] In addition, the threshold adjustment circuit also includes a feedback mechanism to ensure that the adjusted parameters can adapt to the current operating state. The adjusted threshold will remain stable for a short period of time and will be continuously optimized in subsequent data collection to ensure that in the long-term operation, the system can adapt to different loads and rotation states, improving the reliability and accuracy of detection.

[0029] The error correction algorithm execution module uses adaptive filtering technology, combined with the time series analysis of the sensor signal, to filter possible signal interference or mutation data to ensure the accuracy of forward and reverse discrimination and reduce misjudgment caused by signal fluctuations or external interference. The core function of this module is to separate the real rotation state information from the detection signal and eliminate abnormal signals such as environmental noise and electromagnetic interference to improve the accuracy of forward and reverse monitoring. The advantage of using adaptive filtering technology is that the algorithm can automatically adjust the filtering parameters according to the actual operating conditions to make it suitable for different operating conditions. For example, when the host group is operating normally, the signal fluctuation is small, and the filtering algorithm will use a lower adjustment weight to ensure the authenticity of the signal change. When the signal is subject to greater interference, the algorithm will automatically increase the filtering strength to reduce the impact of abnormal signals on the discrimination results. In addition, the module also combines time series analysis to perform trend modeling on the data output by the sensor. If a signal mutation is detected in a short period of time but there is no reasonable change trend, the system will determine that the signal may be a transient interference and perform corresponding error correction to avoid incorrect forward and reverse discrimination results.

[0030] Through the synergy of the signal self-calibration unit, the forward and reverse monitoring module can maintain high detection accuracy in complex environments and variable working conditions, reduce the need for manual intervention, and ensure long-term operating reliability. The data acquisition module ensures the recording and analysis of long-term operating data, the threshold adjustment circuit enables the detection standard to dynamically adapt to different working conditions, and the error correction algorithm execution module further improves the anti-interference ability, so that the entire system has a higher level of intelligence and stability, suitable for accurate monitoring of the operating status of the host group.

[0031] Furthermore, during the execution of the error correction algorithm, the system first suppresses the noise of the signal collected by the Hall dual-channel sensor to reduce environmental interference and the instability of the sensor itself, ensuring the smoothness and accuracy of the signal. Subsequently, the system uses the trend compensation mechanism to correct the noise-suppressed signal to make it closer to the actual operating state, so as to improve the reliability of forward and reverse monitoring. The entire correction process consists of two parts: adaptive nonlinear gain filtering and dynamic trend compensation, and is calculated through a mathematical model.

[0032] The error correction algorithm execution module is specifically used for: In the signal noise suppression stage, the signal of the Hall dual-channel sensor is dynamically adjusted based on adaptive nonlinear gain filtering according to the following formula 1: in, It is the filtered signal and the main data ultimately used by the system for trend compensation and subsequent analysis. Its unit is volt (V).

[0033] It is the original signal of the Hall sensor in the signal noise suppression stage, that is, the sensor output without any processing, in volts (V).

[0034] is the noise term, which may come from factors such as electromagnetic interference, and its unit is volt (V).

[0035] is the adaptive gain factor, Dimensionless, calculated according to the following formula 2: in, This is a parameter that adjusts the smoothness of the signal filter. The recommended value range is usually between 0.1 and 5. When the signal fluctuates greatly, a higher The value can enhance the ability to suppress mutation signals, while in the case of relatively stable signals, a lower The value can reduce the impact of filtering on the original data. The unit is .

[0036] For the current moment The sensor measurement signal at For the previous moment The sensor measurement signal at Represents the signal change between adjacent time steps, which is used to measure whether the current signal fluctuates violently. Rapidly adjust the filter gain when the signal changes suddenly.

[0037] is the noise suppression gain adjustment coefficient. The recommended value is between 0.5 and 2.0. When the noise is large, a higher The value helps to improve the noise suppression ability. and Have the same units.

[0038] is the noise standard deviation, which is obtained by the system performing statistical calculations on the noise over a period of time to reflect the intensity of the current environmental interference. Have the same units.

[0039] To avoid a small constant where the denominator tends to zero, it is usually set to .

[0040] In the trend compensation stage, compensation is performed according to the following formula 3 to dynamically adjust the sensor signal to make it closer to the actual operating state: in, It is the correction signal after trend compensation, that is, the final signal after compensation used to judge the forward and reverse rotation status of the host unit, and the unit is volt (V).

[0041] It is the original signal of the Hall sensor in the trend compensation stage, that is, the measurement value of the Hall sensor that has been noise suppressed but has not yet been compensated for long-term offset, in volts (V).

[0042] It is the first-order trend compensation coefficient in seconds (s). The recommended value is between 0.05 and 0.5. This item is used to correct short-term signal offset to ensure that the signal trend is consistent with the actual operating status.

[0043] is the second-order trend compensation coefficient, in seconds squared ( ), the recommended value is between 0.001 and 0.1. This item is used to compensate for the signal acceleration changes caused by load changes or environmental factors to reduce the error caused by severe fluctuations.

[0044] is the long-term signal offset correction factor, expressed in reciprocal seconds ( ), the recommended value is between 0.01 and 0.1. This item is used to correct the long-term trend deviation of the signal and make the signal tend to be stable on a longer time scale.

[0045] is the exponential decay factor, expressed in reciprocal seconds ( ), the recommended value is between 0.02 and 0.2, which makes the newer data more important and the influence of the distant data gradually decreases, thus enhancing the real-time performance of the system.

[0046] Indicates the current time, integral variable Represents the value of a signal at a past time point. Indicates at time The Hall sensor measurement signal at that moment is in volts (V).

[0047] Furthermore, the forward and reverse monitoring module includes a temperature compensation unit, which includes a temperature sensor and a compensation calculation module. The temperature sensor is installed near the Hall dual-channel sensor and is used to detect changes in ambient temperature. The compensation calculation module dynamically corrects the signal output of the Hall dual-channel sensor based on the detection result of the temperature sensor to eliminate the Hall sensor signal drift caused by temperature changes.

[0048] The temperature compensation unit in the forward and reverse monitoring module ensures that the Hall effect dual-channel sensor can maintain stable and accurate signal output under different environmental conditions through the synergy of the temperature sensor and the compensation calculation module. Since the magnetic sensitivity of the Hall effect sensor is easily affected by temperature changes, its output signal may drift with the fluctuation of the ambient temperature, resulting in errors in the judgment of the forward and reverse state. Therefore, a temperature sensor is arranged near the Hall effect dual-channel sensor to monitor the ambient temperature around the device in real time, and the collected temperature data is transmitted to the compensation calculation module for dynamic signal correction.

[0049] The temperature sensor uses a high-precision, fast-response temperature measuring element that can quickly adjust the compensation parameters of the Hall sensor when the ambient temperature changes. The sensor can use a semiconductor thermistor, a digital temperature sensor, or an infrared temperature measuring element. The specific choice depends on the system operating environment and accuracy requirements. The temperature sensor is installed near the detection area of ​​the Hall dual-channel sensor so that it can synchronously sense temperature changes and minimize the temperature lag effect to ensure that the compensation calculation module obtains accurate and real-time temperature data.

[0050] The compensation calculation module uses a signal correction algorithm based on the calibration model to perform temperature compensation on the output of the Hall dual-channel sensor. First, during the equipment installation and debugging phase, the system will establish the output characteristic curve of the Hall sensor at different temperatures and store it in the internal storage unit of the compensation calculation module. When the system enters the actual operation state, the compensation calculation module will find or interpolate the compensation parameters corresponding to the current temperature based on the detection value of the temperature sensor, and make real-time adjustments to the output signal of the Hall sensor. For example, in a high temperature environment, the sensitivity of the Hall sensor may decrease, resulting in a decrease in the amplitude of the output signal. The compensation calculation module will automatically increase the signal gain to maintain the standardized signal amplitude; in a low temperature environment, the sensor may produce a large bias error, and the module will perform zero drift correction to eliminate the interference of temperature on the forward and reverse discrimination results.

[0051] In addition to static compensation based on the calibration curve, the compensation calculation module also integrates a self-learning mechanism, which enables the system to optimize compensation parameters during long-term operation. By recording long-term operation data and combining historical temperature change trends, the system can dynamically adjust the compensation algorithm to make the Hall sensor signal correction more accurate. In addition, in order to ensure the stability of compensation, the module uses smoothing filtering technology to buffer sudden temperature changes in a short period of time to avoid drastic fluctuations in signal output due to instantaneous temperature changes.

[0052] The introduction of this temperature compensation unit enables the Hall dual-channel sensor to maintain high-precision forward and reverse detection capabilities under various working conditions. Whether in a cold winter environment or a high-temperature equipment room, it can ensure signal stability and avoid misjudgment due to temperature drift, thereby improving the reliability and adaptability of the entire host unit forward and reverse warning and door drop control system.

[0053] The wireless transmission module 102 includes a wireless transmitting unit and a wireless receiving unit. The wireless transmitting unit is connected to the forward and reverse monitoring module and is used to wirelessly transmit the forward or reverse switch signal to a remote wireless receiving unit. After receiving the signal, the wireless receiving unit transmits the signal to the upper computer monitoring system and outputs it to the visual warning light device.

[0054] The wireless transmission module 102 is used to wirelessly transmit the switch signal generated by the forward and reverse monitoring module 101 to a remote receiving device to ensure that the operating status of the host group can be monitored in real time in the remote control system. The module includes a wireless transmitting unit and a wireless receiving unit, wherein the wireless transmitting unit is installed near the host group and directly connected to the forward and reverse monitoring module 101, and is used to receive the forward or reverse switch signal output by the module, and convert the signal into a wireless data packet for remote transmission in a low-power, high-stability manner. The wireless receiving unit is deployed in a remote control room or monitoring site, responsible for receiving the signal sent by the wireless transmitting unit, decoding it, and transmitting it to the upper computer monitoring system 104 after data verification, and providing a signal output to the visual warning light device 103 to achieve multi-level safety warnings and intelligent control.

[0055] The wireless transmitting unit adopts LORA modulation technology to enhance the signal's penetration ability in complex environments and reduce the risk of interference, thereby ensuring that the signal reception effect can be maintained stably under long-distance transmission conditions. The input end of the transmitting unit is connected to the relay switch output end of the forward and reverse monitoring module 101, and can obtain the rotation direction status information of the pump shaft in real time. When the host group is in a normal forward state, the wireless transmitting unit encodes the corresponding forward signal into a wireless data packet and transmits it through a preset frequency band; when a reverse failure occurs in the host group, the wireless transmitting unit encodes the reverse signal and sends it wirelessly, and adopts a periodic signal confirmation mechanism to ensure that the data can be reliably received and processed by the wireless receiving unit.

[0056] The wireless receiving unit is usually installed in the remote control room and uses the same communication protocol as the wireless transmitting unit to ensure accurate transmission and analysis of the signal. After receiving the signal from the wireless transmitting unit, the unit first performs a data integrity check, including error correction coding detection and signal consistency comparison, to ensure that the received signal data is correct. Subsequently, the receiving unit decodes the signal and sends the data to the host computer monitoring system 104 through a standardized communication interface, and outputs the signal to the visual warning light device 103 to achieve remote status monitoring and real-time fault alarm. After receiving the signal, the host computer monitoring system can parse the data according to the preset logic and display the current operating status of the host group in the monitoring interface.

[0057] The design of the wireless transmission module 102 ensures the reliability and real-time performance of the signal, and adopts a low-power working mode to meet the needs of long-term online operation. Both the transmitting unit and the receiving unit are equipped with high-gain antennas to enhance the signal coverage range, and support redundant signal transmission to reduce the risk of possible signal loss. In addition, to improve system stability, the wireless transmission module also has an automatic reconnection mechanism, which can quickly restore communication when the signal is temporarily lost, ensuring that the operating status data of the host group can be continuously and reliably transmitted to the monitoring system to meet the needs of remote control and intelligent management.

[0058] Furthermore, the wireless transmitting unit and the wireless receiving unit of the wireless transmission module are implemented using LORA communication technology, including a signal enhancement unit and an interference shielding circuit; The signal enhancement unit includes a high-gain antenna and a signal amplification circuit. The high-gain antenna can expand the coverage of the wireless signal, so that the host group monitoring signal can be stably transmitted over a long distance; the signal amplification circuit is used to dynamically adjust the gain of the low-power signal so that the signal can still maintain a strong signal quality when penetrating obstacles or in a high-humidity environment; The interference shielding circuit consists of a low-pass filter and a signal correction module. The low-pass filter is used to block high-frequency electromagnetic interference and prevent signal noise from external devices from affecting data transmission. The signal correction module performs packet loss compensation or erroneous data recovery based on the integrity analysis of the received signal to improve the anti-interference capability of wireless communication.

[0059] The wireless transmission module adopts LORA communication technology to ensure the remote and stable transmission of the host group monitoring signal and maintain reliable communication quality in complex environments. The module consists of a wireless transmitting unit and a wireless receiving unit, and is equipped with a signal enhancement unit and an interference shielding circuit to optimize the coverage, anti-interference ability and signal integrity of data transmission.

[0060] The signal enhancement unit works together through a high-gain antenna and a signal amplification circuit to improve the stability and long-distance transmission capability of the wireless signal. The high-gain antenna adopts a directional or omnidirectional radiation design, and the optimal solution can be selected according to the layout of the pump station and the signal transmission path. Directional antennas are suitable for scenarios with fixed transmission paths, so that the signal is concentrated in a specific direction to enhance the coverage and signal strength, while omnidirectional antennas are suitable for situations where the signal needs to propagate in multiple directions, ensuring that a reliable communication link can always be maintained between the wireless transmitting unit and the receiving unit. In field applications, high-gain antennas can compensate for signal loss caused by equipment spacing, obstacle obstruction or environmental attenuation, so that the host group monitoring signal can still maintain stable transmission over a long distance.

[0061] The signal amplification circuit uses an automatic gain control mechanism to dynamically adjust the signal power to adapt to different working environments. When the transmission path is short or the signal is strong, the system will reduce the gain to reduce signal overload and energy consumption; when the signal attenuation is large, especially when penetrating metal structures, walls or high humidity environments, the signal amplification circuit will automatically increase the gain to ensure that the receiving end can obtain a signal of sufficient strength. The circuit includes a front-stage low-noise amplifier and a rear-stage power amplifier. The low-noise amplifier is mainly used to enhance weak signals, while the power amplifier further increases the strength of the output signal, allowing the signal to effectively penetrate obstacles and maintain stable decoding quality. The dynamic gain adjustment mechanism can optimize signal transmission under different working conditions, so that the wireless transmitting unit and the receiving unit always maintain the best communication state.

[0062] The interference shielding circuit is used to reduce the impact of environmental noise and external electromagnetic interference on wireless signal transmission to improve the anti-interference ability of the system. As the first line of defense of the interference shielding circuit, the low-pass filter can effectively block high-frequency interference signals and prevent electromagnetic radiation from motors, inverters or other high-power devices from interfering with wireless communication. The filter is designed with a passive LC network or an active operational amplifier, and the appropriate cut-off frequency can be selected according to the characteristics of the interference source to ensure that the LORA signal is not affected by external noise within the predetermined frequency band.

[0063] The signal correction module is used to compensate for data loss during transmission and recover erroneous data to ensure data integrity. When the wireless signal is subject to sudden interference or channel fading, resulting in data packet loss, the module can automatically compensate for packet loss based on redundancy check technology and error detection algorithm, and use forward error correction coding to recover partially damaged data to ensure that the receiving end can correctly parse the monitoring signal. During long-distance transmission, the signal correction module will also automatically request retransmission when data anomalies are detected through an adaptive retransmission mechanism, thereby improving the reliability of data transmission and avoiding communication failures caused by interference or instantaneous signal fading.

[0064] Based on the LORA communication technology, the entire wireless transmission module combines signal enhancement and interference shielding mechanisms to enable the system to maintain stable monitoring signal transmission over long distances, with large-scale equipment distribution and in complex environments, ensuring that the operating status of the host group can be reliably transmitted to the remote monitoring system and providing high-precision real-time data support for automatic door control.

[0065] The visual warning light device 103 is connected to the wireless receiving unit and controls the state of the warning light based on the received switch signal, wherein when the host group is detected to be rotating forward, the warning light displays a first color; when the host group is detected to be rotating reversely, the warning light displays a second color and synchronously triggers the buzzer to emit an audible and visual alarm to alert the operating personnel of abnormal conditions.

[0066] The visual warning light device 103 is used to visually display the operating status of the host group and provide an audible and visual alarm when a reverse failure occurs to remind the operator to take appropriate emergency measures. The device is directly connected to the wireless receiving unit, and can receive the forward and reverse status signal of the host group in real time, and switch the indicator lights of different colors based on the received signal, and trigger the buzzer to send an audible and visual alarm under certain circumstances. The entire device includes a warning light body, a wireless signal receiving module, a control circuit, a warning light driving circuit, a buzzer and other components to ensure that visual and auditory feedback can be provided stably and reliably.

[0067] The warning light body adopts an integrated multi-color LED light group, which can switch the display color according to the different states of the main unit. When the main unit is in the normal forward state, the warning light displays the first color, usually red, to indicate that the system is in the drainage operation mode. When the main unit has a reverse fault, the warning light automatically switches to the second color, usually yellow, to provide an obvious fault warning to the operator. In the reverse state, the warning light not only indicates through color changes, but also synchronously triggers the buzzer to emit intermittent or continuous sound alarms to enhance the fault prompt effect and ensure that the operator can quickly detect abnormal conditions even at a long distance or in a noisy environment.

[0068] The wireless signal receiving module works in conjunction with the receiving unit of the wireless transmission module 102 to ensure the stability of signal transmission. When the wireless receiving unit receives the switch signal from the forward and reverse monitoring module 101, the signal will be parsed and transmitted to the warning light device 103 through a standardized data interface. The control circuit inside the warning light device performs logical judgment on the signal and controls the warning light drive circuit to perform corresponding display switching and alarm operations. The control circuit adopts an anti-interference design and can operate stably in a complex electromagnetic environment to ensure that the signal transmission process is not affected by external interference. In order to enhance the reliability of the system, the warning light device is also equipped with a status self-check function. When a fault occurs in the light group or buzzer, the abnormal condition of the warning light device can be fed back to the upper computer monitoring system 104 so that the operating personnel can perform maintenance in time.

[0069] The device can be installed flexibly and can be fixed in a conspicuous position in the control room, equipment site or pump station operation area to ensure that operators can obtain equipment operation status information in the shortest time. To meet the needs of long-term stable operation, the warning light body is encapsulated with weather-resistant materials, which has waterproof, dustproof and vibration-resistant properties and is suitable for various harsh environments. In addition, in order to reduce maintenance workload, the warning light adopts a low-power design and supports remote configuration. The brightness, color and buzzer alarm mode of the warning light can be adjusted according to operation requirements to adapt to different work scenarios.

[0070] In summary, the visual warning light device 103 can not only clearly and intuitively display the operating status of the main unit, but also provide an efficient sound and light alarm function when a reverse fault occurs, thereby improving the response speed of operators to abnormal situations and avoiding equipment damage and safety accidents caused by information delays or misjudgments. The device is combined with wireless signal transmission, host computer monitoring and automatic protection systems to form a complete set of main unit operating status monitoring and early warning mechanisms to ensure the safe and stable operation of water pump equipment.

[0071] Furthermore, the visual warning light device includes a multi-level alarm mode, which is composed of an alarm signal control circuit, a warning light driving module and a buzzer control unit, and is used to automatically adjust the alarm strategy according to the severity and duration of the reversal fault of the host group; Among them, the alarm signal control circuit receives the forward and reverse signals from the wireless receiving unit, and records the fault duration through the built-in time calculation module. In the case of a short-term reversal, the warning light is controlled to stably display the second color to provide a general visual prompt; when the fault duration exceeds the preset threshold, the warning light enters a flashing mode and adjusts the flashing frequency to enhance the obviousness of the fault prompt; when the fault duration reaches an emergency level, the warning light flashes at a high frequency and controls the buzzer to sound in a variable frequency mode, prompting the operating personnel of possible emergency situations in different audio modes.

[0072] The multi-level alarm mode of the visual warning light device works together through the alarm signal control circuit, the warning light drive module and the buzzer control unit to achieve a graded response to the host group reversal fault. The system can dynamically adjust the alarm strategy according to the severity and duration of the fault, so that the operator can quickly identify the operating status of the host group and take corresponding treatment measures.

[0073] The core function of the alarm signal control circuit is to receive the forward and reverse status signal from the wireless receiving unit, and record and analyze the duration of the fault in combination with the internal time calculation module. When the host unit reverses for a short time, the circuit determines that the fault may be caused by transient interference, load fluctuation or short-term operation abnormality, so it will not immediately trigger a strong alarm signal, but switch the warning light to a second color, usually yellow, to provide a basic visual warning. At this time, the warning light remains stable and does not flash, so that the operator can intuitively identify the system status change during inspection.

[0074] When the fault lasts longer than the preset time threshold, the alarm signal control circuit will adjust the alarm mode of the warning light to make it flash. The time threshold can be set according to the on-site working conditions, such as a delay of several seconds to more than ten seconds, to avoid false alarms due to short-term fluctuations. After entering the flashing mode, the flashing frequency of the warning light will be dynamically adjusted as the fault duration increases. In the initial stage, low-frequency flashing may be used, and when the fault duration is further extended, the flashing frequency will gradually increase to enhance the obviousness of the fault prompt, so that operators can notice potential problems more quickly.

[0075] When the fault duration reaches the emergency level, the warning light enters the highest alarm mode, flashes at a high frequency, and the buzzer control unit starts and sounds in a variable frequency mode. The alarm audio of the buzzer will be adjusted according to the fault level. For example, in a general alarm state, the buzzer may emit a short alarm sound at a fixed interval, while in an emergency state, the frequency and loudness of the alarm sound will be significantly increased, or an alternating frequency modulation mode will be adopted to ensure that even in a noisy industrial environment, the operator can clearly identify the severity of the alarm signal. In addition, in order to prevent long-term alarms from interfering with operators, the system also supports a manual confirmation function. After arriving at the site and conducting a preliminary inspection, the operator can cancel the audible alarm of the buzzer through the control panel or remote interface, but the warning light will still remain in a high-frequency flashing state until the fault is eliminated to ensure that the fault information will not be ignored due to misoperation.

[0076] The design of this multi-level alarm mode can not only improve the response speed to the main unit reversal failure, but also avoid false alarms caused by short-term signal fluctuations. At the same time, it ensures that in the event of a serious fault, the alarm signal is conspicuous enough to enable operators to quickly judge the severity of the problem and take appropriate measures, thereby improving the safety and operational reliability of the system.

[0077] The upper computer monitoring system 104 is connected to the wireless receiving unit and receives the forward or reverse signal of the host group through the PLC control module, displays the operating status of the host group in real time in the monitoring interface, and sends a door-dropping command to the automatic door-dropping control mechanism when a reverse failure of the host group is detected.

[0078] The host computer monitoring system 104 is used to receive, process and display the operating status data of the host group. At the same time, when an abnormal situation is detected, it automatically sends instructions to the control system to achieve safety management and automatic protection functions. The system establishes data communication with the wireless receiving unit, obtains the switch signal transmitted by the forward and reverse monitoring module 101, and combines the preset control logic to perform real-time analysis on the forward, reverse and fault status of the host group. Under normal operation, the host computer monitoring system receives and analyzes the wireless signal, and displays the status information of the current host group on the monitoring interface, so that the operating personnel can remotely understand the working status of the unit. When a reverse fault occurs, the system will not only issue an alarm prompt on the interface, but also automatically execute the preset fault handling strategy to reduce manual intervention and improve the fault response speed.

[0079] The core components of the system include a data processing unit, a communication interface module, a human-computer interaction interface, and a control output unit. The data processing unit integrates functions such as signal acquisition, logic judgment, data storage, and remote transmission to ensure that the system can work stably under various operating environments. The communication interface module is used to receive the signal transmitted by the wireless transmission module 102 and establish a connection with the on-site PLC controller to achieve real-time monitoring and remote operation of the host unit status. The human-computer interaction interface adopts a graphical display method, so that the operating personnel can intuitively understand the working status of the unit, including the current running direction of the water pump, the health status of the equipment, and the historical operating data. When an abnormality occurs, the system will automatically pop up a warning message and provide corresponding operation suggestions to assist the operating personnel in troubleshooting.

[0080] When a reversal failure occurs in the host unit, the host computer monitoring system will immediately execute a series of automated processing steps. First, the system will confirm the fault state through logical judgment, highlight the reversal warning on the monitoring interface, and trigger the sound and light alarm function of the visual warning light device 103 so that on-site personnel can detect abnormal conditions in time. Subsequently, the system will send a door-dropping instruction to the automatic door-dropping control mechanism 105, instructing the rapid gate to close to prevent equipment damage or runaway accidents caused by the reversal failure of the host unit. While performing the door-dropping operation, the system will also send a remote alarm to the management personnel to ensure that the relevant personnel can respond in time and take necessary measures. In addition, the host computer monitoring system will store all key events and fault information in the database for subsequent analysis and maintenance.

[0081] The system is designed with remote monitoring and intelligent management in mind. Through connection with remote servers or cloud platforms, cross-regional data sharing and remote monitoring of equipment status can be achieved. Managers can access the system through remote terminals or mobile devices and view the operating status of the host group in real time. At the same time, the system also supports adaptive adjustment of logic parameters, enabling it to optimize control strategies according to on-site operating conditions and improve overall safety and operating efficiency.

[0082] In order to ensure the stability of data transmission, the host computer monitoring system adopts a redundant communication mechanism, that is, when the main wireless signal transmission path fails, it can automatically switch to the backup communication path to ensure the reliable transmission of key data. In addition, the system is also equipped with a fault diagnosis function, which can automatically detect signal anomalies, circuit failures or sensor failures, and take corresponding protective measures when necessary.

[0083] In summary, the host computer monitoring system 104 not only realizes remote monitoring of the forward and reverse rotation status of the host unit, but also improves the intelligence level of the system through automatic logic judgment and control strategy. When a reverse failure occurs in the host unit, the system can quickly trigger an alarm and perform automatic door drop protection to prevent the accident from further expanding. At the same time, the system provides rich data storage and remote monitoring functions, which makes it easy for operators to grasp the equipment status at any time and optimize maintenance strategies to ensure the safe and stable operation of the water pump system.

[0084] Furthermore, the host computer monitoring system includes an intelligent data analysis module, which is composed of a data acquisition unit, a trend analysis algorithm and a remote data synchronization module, and is used to perform trend analysis based on historical operation data and real-time status data, and trigger an early warning signal in advance under abnormal circumstances; Among them, the data acquisition unit is connected to the wireless receiving unit to record the operating parameters of the host group in real time and store them in the local database; the trend analysis algorithm is based on the multivariate time series analysis method, combined with the historical operating data, environmental parameters and load changes of the host group, to establish a prediction model for the equipment operating status and calculate the probability of reversal failure in the future; the remote data synchronization module is connected to the remote monitoring platform, and when an abnormal trend is found, an early warning signal is sent to the management center through the network so that the operating personnel can intervene and maintain in advance.

[0085] The intelligent data analysis module of the host computer monitoring system realizes in-depth analysis of the operating status of the host group through the collaborative work of data collection, trend analysis and remote data synchronization, and provides early warning before a fault occurs to ensure the stability and safety of the system. The module can obtain real-time data from the wireless receiving unit and perform trend modeling in combination with historical data, so that the monitoring system not only has real-time status monitoring capabilities, but also can predict abnormal situations that may occur in the future, so that managers can take countermeasures in advance.

[0086] The data acquisition unit is connected to the wireless receiving unit to record various operating parameters of the host unit in real time, including the speed of the pump shaft, forward and reverse status, load current, ambient temperature and other key operating parameters. After collection, these data will undergo preliminary processing, including data format conversion, denoising and outlier screening to ensure that the stored data has high accuracy and availability. The processed data will be stored in the local database and archived at set time intervals, so that the system can retain the operating history of the host unit for a long time for subsequent analysis and fault tracing.

[0087] The core of the trend analysis algorithm is to establish a prediction model for the operating status of the host group based on the multivariate time series analysis method using data collected over a long period of time. The algorithm first extracts features from historical data, including variables such as operating stability, load fluctuations, and environmental factors, and calculates the characteristic curve during normal operation in combination with the working mode of the host group. On this basis, the system can monitor the deviation between the current operating status and the prediction model in real time. When short-term fluctuations are detected, the system will make a preliminary judgment based on the load changes to avoid false alarms. If the system identifies an abnormal trend in the current operating status, such as abnormal motor load, increased fluctuations in the reversal signal, or significant environmental factors, the probability of a reversal fault in the future will be evaluated based on the calculation results. Once the prediction model calculates that the possibility of a reversal fault exceeds the set threshold, the system will trigger a warning signal in advance without waiting for the actual occurrence of the fault, so that the operator can intervene in advance and take preventive maintenance measures.

[0088] The remote data synchronization module is used to synchronize the analysis results in the local database to the remote monitoring platform, so that the management center can keep track of the operating status of each host group at any time and conduct remote intervention when necessary. The module establishes a connection with the cloud monitoring platform through a secure data communication protocol to ensure the stability and security of data transmission. When the system detects an abnormal trend, the remote data synchronization module will automatically send an early warning signal to the management center, accompanied by a detailed operation log and trend analysis report, so that managers can view detailed data from the remote terminal and make maintenance decisions based on historical trends. In addition, the remote data synchronization module also has real-time synchronization mode and batch synchronization mode. Under normal circumstances, low-bandwidth periodic data transmission is used, and when an abnormality occurs, it will immediately switch to real-time synchronization mode to ensure that key data can be quickly delivered to the management center to ensure timely response.

[0089] The overall design of the intelligent data analysis module enables the host computer monitoring system to not only have real-time monitoring capabilities, but also provide a forward-looking early warning mechanism so that faults can be detected before they occur. The remote data synchronization function allows managers to grasp the operating status at any time, and maintain the safety and stability of the equipment even when unattended.

[0090] Furthermore, the trend analysis algorithm is specifically used to execute the trend analysis algorithm, which adopts a dynamic weighted Bayesian state prediction method to analyze the historical operation data of the host group with a multivariate time series, and combines the current environmental parameters and load changes to establish a fault prediction model based on probability reasoning. The trend analysis algorithm includes data preprocessing, state feature extraction, dynamic probability modeling and abnormality discrimination stages; In the data preprocessing stage, the operating status information of the host group is obtained from the data acquisition unit, including the Hall sensor signal, load current, ambient temperature, and vibration amplitude, and a low-pass filtering method is used to remove high-frequency noise to improve data stability; the data is normalized so that data of different dimensions can be analyzed under the same calculation framework, and a sliding window method is used to construct a historical data set; In the data preprocessing stage, the system obtains the operating status information of the host group from the data acquisition unit, including physical quantities such as Hall sensor signals, load current, ambient temperature, vibration amplitude, etc., and performs preliminary processing on these data. First, the low-pass filtering method is used to remove high-frequency noise to eliminate the influence of external factors such as electromagnetic interference, mechanical vibration, and temperature changes on signal stability. Subsequently, the system normalizes data of different dimensions so that all physical quantities can be mapped to the same scale range to ensure the comparability between variables in subsequent calculations. The normalization method can use maximum and minimum normalization or Z-score normalization to adapt to different types of data distributions. In addition, in order to capture short-term fluctuations and long-term trends in data, the system uses a sliding window method to construct a historical data set, and each time window contains the past The running status data of time steps, The value of is generally between 10 and 100 to ensure that the data covers a long enough time range for trend analysis.

[0091] In the state feature extraction stage, the change rate and acceleration of each variable are calculated, and a state feature vector is constructed based on the calculated data to characterize the change trend of the current operating state of the host group, wherein the feature vector includes a first-order derivative, a second-order derivative, and a long-term trend attenuation term; In the state feature extraction stage, the system calculates the rate of change and acceleration of each variable to construct a feature vector that characterizes the current operating state of the host group. The feature vector includes multiple key parameters, among which the first-order derivative is used to measure the change trend of the signal, the second-order derivative is used to identify the acceleration change of the signal, and the long-term trend attenuation term is used to identify the overall evolution trend of the signal. These parameters can be calculated by numerical differentiation methods, such as the first-order derivative The second-order derivative is calculated by the finite difference method. Calculated by the quadratic difference method. In addition, in order to enhance the ability to identify long-term trends, the system uses the exponentially weighted moving average (EWMA) method, so that recent data contributes more to trend analysis, while the impact of older data gradually decays.

[0092] In the dynamic probability modeling stage, the Bayesian hidden state model is used to calculate the failure probability, the Markov process is used to describe the transition of the host group state, and the probability distribution of the state transition matrix is ​​estimated based on historical data; In the dynamic probability modeling stage, the system uses the Bayesian latent state model to calculate the failure probability. This model assumes that the operating state of the host group It is a hidden variable that cannot be observed directly, but can be indirectly inferred through sensor data. The state transition process is described by the Markov process, that is, the current state depends only on the previous state, not on earlier historical data. Based on historical data, the system estimates the probability distribution of the state transition matrix to describe the transition law between different operating states of the host group. For example, if the host group is in a high load state for a long time, the probability of it entering a fault state will increase accordingly. In order to enhance the adaptability of the model, the system adopts a recursive Bayesian update method so that the state transfer matrix can be dynamically adjusted over time to reflect changes in the operating environment.

[0093] In the abnormality identification stage, according to the following formula 4, the future The probability of a host group reversal failure within a time step : in, Representing the future The cumulative probability of a reversal failure occurring within a time step; Represents the prediction time step in seconds (s), which is used to define the system in the future The probability range of host group reversal failure is evaluated within seconds. The value of this parameter is usually between 10 and 300 to ensure that the warning time is advanced enough so that the management personnel have sufficient time to intervene.

[0094] Represents the total number of historical status data, that is, the number of historical time points used to calculate the current fault probability. Its unit is related to the sampling interval. For example, if the data acquisition frequency is 1 Hz, then Indicates that the data from the past 100 seconds is used for calculation. This value is usually between 50 and 500 to balance the impact of short-term dynamic changes and long-term trends on fault prediction.

[0095] In the definite integral Representative The timestamp of the historical status data, in seconds (s), that is, a certain moment in the past The time point corresponding to the collected host group operation status data. It is used to calculate the impact of historical data on current and future status predictions. Represents the current time.

[0096] Represents a fault state, i.e., an abnormal operating state identified in the sensor monitoring data.

[0097] Represents the host group at time The probability density of entering the fault state is calculated by the Bayesian state transition matrix and estimated by Monte Carlo sampling; It is the dynamic weight of the historical state, and is usually calculated using an exponential decay function, so that newer data has a greater impact, while the impact of older data gradually decreases.

[0098] is the exponential decay factor, in units of , usually in the range of .

[0099] is the trend impact factor, representing the impact of trend acceleration on fault prediction, in units of The reciprocal of Its function is to adjust the weight of acceleration on fault prediction to ensure that the host group can trigger an early warning when the acceleration changes suddenly.

[0100] is the signal weighted attenuation factor, which controls the contribution of different variables to fault prediction. The unit is , the recommended value range is This factor is used to balance the impact of different sensor signals, for example, changes in ambient temperature may have little impact on short-term predictions, so a larger attenuation factor should be used to give it a lower weight, while a Hall sensor signal may be critical to fault prediction, so a smaller attenuation factor should be used to give it a longer-lasting impact.

[0101] Represents the total number of variables used for trend acceleration correction, that is, the number of key sensor signals considered in trend analysis. For example, Hall sensor signals, load current, ambient temperature, and vibration amplitude may all be included in the calculation. The value of is usually between 3 and 10, depending on the complexity of the system and the dimensionality of the data available.

[0102] Represents the current time, which is the moment when the system performs trend analysis and calculates the probability of future failures, in seconds All calculations and forecasts are based on It is a reference point for the current operating status of the system.

[0103] Representative The time point when the sensor signal last changed significantly (the change value exceeded the specified threshold), in seconds It is used to evaluate the degree to which a particular signal affects the current prediction, usually by detecting changes in the first or second derivative of the signal. For example, if the load current is If there is a significant fluctuation at any moment, the moment will be recorded and will affect the current trend analysis.

[0104] Representative The second-order derivative of the sensor signal, that is, the rate of change of acceleration of the signal, is It is used to measure sudden changes in acceleration of a signal, such as rapid changes in load current or vibration amplitude that may indicate an impending mechanical failure. The second derivative is usually calculated by finite difference methods, for example: in is the data sampling time interval, usually between 0.1 and 1 second. A large second-order derivative means that the signal fluctuates violently, which may indicate a risk of system failure.

[0105] when If the set threshold is exceeded (usually set between 0.6 and 0.9), a warning signal is triggered and an alarm message is sent to the remote data synchronization module so that the management personnel can take preventive measures in time to prevent the occurrence of host group reversal failure.

[0106] The automatic door-dropping control mechanism 105 includes a relay control unit and a hydraulic actuator. After receiving the door-dropping command sent by the upper computer monitoring system, the relay control unit drives the hydraulic actuator to make the fast gate perform the door-dropping operation to prevent the main unit from being damaged or causing a runaway accident due to a reversal failure.

[0107] The automatic door-dropping control mechanism 105 is used to receive the door-dropping command sent by the upper computer monitoring system 104 when a reverse failure occurs in the host unit, and quickly execute the door-dropping operation of the fast gate to prevent equipment damage or runaway accidents caused by the reverse failure of the host unit. The mechanism is composed of a relay control unit, a hydraulic actuator, a fast gate and related signal feedback circuits to ensure that it can respond quickly after receiving the fault command and provide a status confirmation signal after completing the door-dropping operation, so that the upper computer monitoring system can monitor the door-dropping execution in real time.

[0108] As the core component of the entire automatic door drop control mechanism, the relay control unit is responsible for receiving the door drop command sent by the host computer monitoring system and controlling the hydraulic actuator to perform the corresponding door drop action. When the host computer monitoring system detects a reverse failure in the main unit, it will send a trigger signal to the relay control unit. After receiving the signal, the relay immediately closes its output circuit and provides a control signal to the hydraulic actuator to start the closing process of the fast gate. The relay unit uses a high-reliability electromagnetic relay, and its contacts are specially designed to withstand high-frequency operations and long-term loads, ensuring that the system will not affect the execution of the door drop operation due to adhesion or failure of the relay contacts during long-term operation.

[0109] The hydraulic actuator is the power source for driving the fast gate to perform the door-dropping action. The mechanism includes a hydraulic pump, a cylinder, a control valve and related pipelines. The hydraulic pump is started under the control of the relay control unit, and provides high-pressure oil to the cylinder through the hydraulic pipeline to push the cylinder piston to move, thereby driving the fast gate to perform the closing operation. In order to ensure the smoothness and stability of the door-dropping process, the hydraulic actuator adopts a proportional control valve to adjust the hydraulic flow to achieve precise control of the door-dropping speed of the gate, so as to avoid the normal operation of the system being affected by the door-dropping action that is too fast or too slow. In addition, the mechanism is also equipped with a pressure sensor and a displacement sensor to monitor the working status of the hydraulic system in real time, and feed back the data to the upper computer monitoring system so that the operator can grasp the operation of the hydraulic actuator at any time.

[0110] The fast gate is the final actuator of the door drop control. It is installed at the water inlet and outlet of the main unit. It is used to quickly close after detecting a reversal fault to prevent water flow impact or impeller escape caused by the reversal of the water pump. The gate is made of corrosion-resistant, high-strength metal materials and can withstand water flow impact and environmental loads of long-term operation. In order to ensure stable door drop operation under various working conditions, the transmission mechanism of the fast gate adopts a low-friction design and is directly driven by a hydraulic cylinder, which makes the door drop action have high reliability and response speed. In an emergency, the system also supports a manual door drop function. When the automatic control system fails, the operator can manually operate the valve to achieve rapid door drop to ensure equipment safety.

[0111] The automatic door drop control mechanism also includes a state feedback circuit, which is used to provide a state confirmation signal to the upper computer monitoring system after the door drop operation is completed to ensure that the control system can accurately determine the actual operating status of the gate. The state feedback signal is provided by the limit switch and the pressure sensor. When the fast gate is completely closed, the limit switch contacts close and send a door drop completion signal to the relay control unit. The relay control unit then sends a status update information to the upper computer monitoring system, indicating that the door drop operation has been successfully executed. If the hydraulic actuator fails to complete the door drop action within the preset time, the system will trigger an alarm and display the door drop abnormality information on the monitoring interface to remind the operator to check the equipment status and take countermeasures.

[0112] The design of the automatic door drop control mechanism ensures that when a reverse failure occurs in the main unit, the system can quickly take protective measures, effectively reduce the risk of equipment damage, and improve the safety and stability of the overall operation. Through the coordinated work of the relay control unit, hydraulic actuator, fast gate and status feedback circuit, the system can perform the door drop operation in the shortest time and provide reliable status feedback to ensure the safety and controllability of the pump station operation.

[0113] Furthermore, the automatic door drop control mechanism includes a feedback confirmation unit, which is composed of a door drop position detection sensor, a feedback signal processing circuit and an alarm triggering unit, and is used to detect the actual operating state of the fast gate and trigger a secondary door drop operation or an alarm signal in an abnormal situation; Wherein, the door drop position detection sensor is installed at the key moving part of the fast gate, and is used to trigger a feedback signal when the gate reaches the fully closed position; After receiving the sensor signal, the feedback signal processing circuit determines the gate position status and sends a door-dropping completion signal to the upper computer monitoring system; if the door-dropping completion signal is not detected within the preset time, the feedback signal processing circuit controls the alarm trigger unit to make the warning light flash, trigger the buzzer to sound an alarm, and send a second door-dropping command to the relay control unit to try to re-execute the door-dropping operation.

[0114] The automatic door drop control mechanism can accurately detect the running status of the fast gate through the feedback confirmation unit, and take corresponding countermeasures when the door drop is not fully executed or an abnormal situation occurs, so as to ensure that the host unit can be protected in time and effectively when a reversal failure occurs. The feedback confirmation unit is composed of a door drop position detection sensor, a feedback signal processing circuit and an alarm trigger unit, which work together to provide real-time status monitoring, automatic compensation control and abnormal alarm functions to ensure the reliability and safety of the door drop operation.

[0115] The door drop position detection sensor is installed at the key moving part of the fast gate. Contact or non-contact detection elements such as limit switches, photoelectric sensors or magnetic induction sensors are usually selected to monitor the position status of the gate in real time. When the fast gate is fully closed, the sensor generates a feedback signal, which is converted into a standard electrical signal through a preset trigger circuit and sent to the feedback signal processing circuit for further analysis. In order to prevent false triggering, the sensor has an anti-jitter function, that is, a short-term signal stability test will be performed when the gate is close to the closed position. Only after confirming that the gate is fully closed and stable, will the door drop completion signal be sent, thereby avoiding misjudgment caused by vibration or slight position deviation.

[0116] After receiving the signal from the door position detection sensor, the feedback signal processing circuit first performs signal filtering and state discrimination to determine the current operating status of the gate. If it is detected that the gate is completely closed, the processing circuit will send a door completion signal to the upper computer monitoring system, so that the system can record the successful door closing status and release the alarm. If the door completion signal is not detected within the preset time, the system will determine that the door closing operation may have a fault. Possible situations include insufficient action of the hydraulic actuator, mechanical stagnation, external interference and other abnormal situations. In this case, the feedback signal processing circuit will immediately execute the secondary door closing logic and send a new door closing command to the hydraulic actuator through the relay control unit, so that the gate performs a secondary door closing operation to compensate for possible execution deviations and ensure that the door can be successfully completed.

[0117] If the second door drop operation is still not completed, the feedback signal processing circuit will trigger the alarm mechanism and start the multi-level alarm strategy through the alarm trigger unit. First, the warning light flashes to provide a visual warning, and the buzzer emits an intermittent alarm sound to remind the operator to pay attention to the abnormal gate status. If the fault state continues and is not resolved, the system will further upgrade the alarm level, causing the warning light to flash at a higher frequency, and the buzzer to emit a higher volume of continuous alarm sound to ensure that the operator can detect the problem in time and take necessary measures. In addition, the alarm information will also be sent to the host computer monitoring system synchronously, so that the operator can view the specific fault information on the remote monitoring interface and decide whether manual intervention is required.

[0118] In order to improve the reliability of the system, the feedback confirmation unit also supports a self-checking function, that is, during the door-dropping process, the system will regularly detect the stability and consistency of the sensor signal. If the signal changes abnormally or is lost in a short period of time, the system will record the abnormality and provide corresponding fault diagnosis information. In addition, in order to ensure the safety of door-dropping control, the system also has a manual reset function. After confirming the status of the equipment, the operator can manually release the alarm through the operation interface or the on-site control button, and re-execute the door-dropping operation to prevent false alarms caused by sensor misjudgment or external interference.

[0119] The design of the feedback confirmation unit enables the automatic door drop control mechanism to not only accurately identify the operating status of the fast gate, but also automatically perform compensation operations under abnormal conditions to ensure the stability and reliability of the door drop execution. At the same time, through the multi-level alarm strategy, the system can promptly remind operators to pay attention to potential faults, and provide remote monitoring and manual intervention options to ensure that the host unit can be effectively protected in the event of a reversal fault, avoiding equipment damage or safety accidents caused by failure of the door drop operation.

[0120] Furthermore, the automatic door-dropping control mechanism includes a damping adjustment unit, which is composed of a fluid buffer, a pressure sensor and a control valve. The fluid buffer is connected to the hydraulic actuator and is used to provide adjustable damping during the door-dropping process to prevent the gate from overshooting or mechanical shock due to inertia. The pressure sensor is used to monitor the pressure changes in the hydraulic system in real time and provide a feedback signal to the control valve. The control valve is used to adjust the damping strength of the fluid buffer according to the door-dropping speed and the system pressure, so that the door-dropping process can respond quickly in an emergency.

[0121] The damping adjustment unit of the automatic door drop control mechanism works in coordination with the fluid buffer, pressure sensor and control valve, so that the door drop process of the fast gate can not only meet the rapid closing requirements in emergency situations, but also avoid mechanical shock or overshoot caused by inertia, thereby improving the operating stability and service life of the system. The design of this unit makes the door drop operation not only have a high response speed, but also take into account stability, making it suitable for working conditions with different load conditions and environmental changes.

[0122] As the core component of the damping adjustment unit, the fluid buffer is connected to the hydraulic actuator to provide adaptive adjustment buffering during the door drop process. The fluid buffer usually uses hydraulic oil as the working medium, and the flow rate of the hydraulic oil is controlled by the internal throttle or variable flow channel to adjust the damping force of the door drop action. In the initial stage of door drop, the fluid buffer allows the hydraulic oil to flow quickly, so that the gate drops quickly. When approaching the final closed position, the buffer gradually increases the resistance to reduce the impact speed of the gate and avoid mechanical shock or locking. The structure of the buffer has been optimized so that it can maintain a stable and effective buffering effect under different hydraulic pressures, and it has an anti-leakage design to ensure reliability in long-term use.

[0123] The pressure sensor is installed at a key position in the hydraulic system to monitor the pressure changes of the hydraulic oil in real time and transmit the detected data to the control valve for precise adjustment. The sensor can sense the transient pressure changes of the hydraulic system during the door-dropping process, and combined with the operating status of the fluid buffer, determine whether the system needs to adjust the damping force. For example, during the door-dropping process, if the hydraulic system pressure is detected to drop rapidly, it means that the door-dropping speed may be too fast, and the system may need to increase the buffer resistance to prevent the gate from being damaged due to overshoot. On the contrary, if the hydraulic pressure is high and the rate of descent is slow, it may mean that the damping is too large, affecting the response speed of the door-dropping. At this time, the system will appropriately reduce the damping to speed up the door-dropping operation.

[0124] The control valve adjusts the damping strength of the fluid buffer in real time by receiving feedback signals from the pressure sensor, so that the gate-dropping process can adapt to different operating environments. The control valve has an adjustable flow control channel, which adjusts the buffering strength of the gate descent by changing the circulation rate of the hydraulic oil. In an emergency, such as when the upper computer monitoring system detects a reversal failure of the main unit and issues a gate-dropping command, the control valve will immediately switch to the fast response mode, so that the hydraulic actuator is in the minimum damping state to ensure that the gate can be closed quickly, thereby preventing the expansion of the accident. In the normal gate-dropping mode, the control valve will gradually adjust the damping of the buffer according to the feedback data of the pressure sensor to ensure that the gate remains stable during the descent process and avoid strong impact when it is finally closed.

[0125] Through the coordinated adjustment of the fluid buffer, pressure sensor and control valve, the damping adjustment unit can achieve intelligent buffering control during the door drop process, so that the system can provide rapid response in emergency situations and provide stable and reliable mechanical protection in daily operation. This dynamic adjustment method enables the automatic door drop control mechanism to adapt to various working conditions, ensuring accurate and stable door drop action, while reducing mechanical losses and improving the service life and safety of the system.

[0126] Although the present application is disclosed as above in the form of a preferred embodiment, it is not intended to limit the present application. Any technical personnel in this field may make possible changes and modifications without departing from the spirit and scope of the present application. Therefore, the scope of protection of the present application shall be based on the scope defined by the claims of the present application.

Claims

1. A host unit forward and reverse rotation warning and door drop control system, characterized in that: include: A forward and reverse monitoring module is used to monitor the rotation direction of the main unit water pump shaft. The forward and reverse monitoring module includes a Hall dual-channel sensor and a flexible toothed magnetic steel belt installed on the water pump shaft bracket. The Hall dual-channel sensor generates a corresponding forward or reverse switch signal by detecting the signal phase difference of the flexible toothed magnetic steel belt, and transmits the switch signal to the wireless transmission module; The wireless transmission module includes a wireless transmitting unit and a wireless receiving unit. The wireless transmitting unit is connected to the forward and reverse monitoring module and is used to transmit the forward or reverse switch signal to a remote wireless receiving unit in a wireless manner. After receiving the signal, the wireless receiving unit transmits the signal to the upper computer monitoring system and outputs it to the visual warning light device at the same time. A visual warning light device is connected to the wireless receiving unit and controls the state of the warning light based on the received switch signal; The upper computer monitoring system is connected to the wireless receiving unit and receives the forward or reverse signal of the host group through the PLC control module. The operating status of the host group is displayed in real time on the monitoring interface. When a reverse failure of the host group is detected, a door-dropping command is sent to the automatic door-dropping control mechanism. The automatic door-dropping control mechanism comprises a relay control unit and a hydraulic actuator. After receiving a door-dropping instruction sent by a host computer monitoring system, the relay control unit drives the hydraulic actuator to make the rapid gate perform a door-dropping operation.

2. The host unit forward and reverse rotation warning and door drop control system according to claim 1, characterized in that: The forward and reverse monitoring module includes a signal self-calibration unit, which includes a data acquisition module, a threshold adjustment circuit and an error correction algorithm execution module. The data acquisition module is used to continuously record the detection signal of the Hall dual-channel sensor during the operation of the host group and store it in the local storage unit; The threshold adjustment circuit calculates the signal fluctuation range based on the historical signal strength recorded by the data acquisition module, and dynamically adjusts the signal threshold of the Hall dual-channel sensor to adapt to the rotation state of the water pump shaft under different load conditions; The error correction algorithm execution module adopts adaptive filtering technology, combined with the time series analysis of the sensor signal, to filter possible signal interference or mutation data to ensure the accuracy of forward and reverse discrimination and reduce misjudgment caused by signal fluctuations or external interference.

3. The host unit forward and reverse rotation warning and door drop control system according to claim 1, characterized in that: The wireless transmitting unit and the wireless receiving unit of the wireless transmission module are implemented using LORA communication technology, including a signal enhancement unit and an interference shielding circuit; The signal enhancement unit includes a high-gain antenna and a signal amplification circuit. The high-gain antenna can expand the coverage of the wireless signal, so that the host group monitoring signal can be stably transmitted over a long distance; the signal amplification circuit is used to dynamically adjust the gain of the low-power signal so that the signal can still maintain a strong signal quality when penetrating obstacles or in a high-humidity environment; The interference shielding circuit consists of a low-pass filter and a signal correction module. The low-pass filter is used to block high-frequency electromagnetic interference and prevent signal noise from external devices from affecting data transmission. The signal correction module performs packet loss compensation or erroneous data recovery based on the integrity analysis of the received signal to improve the anti-interference capability of wireless communication.

4. The host unit forward and reverse rotation warning and door drop control system according to claim 1, characterized in that: The visual warning light device includes a multi-level alarm mode, which is composed of an alarm signal control circuit, a warning light driving module and a buzzer control unit, and is used to automatically adjust the alarm strategy according to the severity and duration of the reverse fault of the host group; Among them, the alarm signal control circuit receives the forward and reverse signals from the wireless receiving unit, and records the fault duration through the built-in time calculation module. In the case of a short-term reversal, the warning light is controlled to stably display the second color to provide a general visual prompt; when the fault duration exceeds the preset threshold, the warning light enters a flashing mode and adjusts the flashing frequency to enhance the obviousness of the fault prompt; when the fault duration reaches an emergency level, the warning light flashes at a high frequency and controls the buzzer to sound in a variable frequency mode, prompting the operating personnel of possible emergency situations in different audio modes.

5. The host unit forward and reverse rotation warning and door drop control system according to claim 1, characterized in that: The host computer monitoring system includes an intelligent data analysis module, which is composed of a data acquisition unit, a trend analysis algorithm and a remote data synchronization module, and is used to perform trend analysis based on historical operation data and real-time status data, and trigger an early warning signal in advance under abnormal circumstances; Among them, the data acquisition unit is connected to the wireless receiving unit to record the operating parameters of the host group in real time and store them in the local database; the trend analysis algorithm is based on the multivariate time series analysis method, combined with the historical operating data, environmental parameters and load changes of the host group, to establish a prediction model for the equipment operating status and calculate the probability of reversal failure in the future; the remote data synchronization module is connected to the remote monitoring platform, and when an abnormal trend is found, an early warning signal is sent to the management center through the network so that the operating personnel can intervene and maintain in advance.

6. The host unit forward and reverse rotation warning and door drop control system according to claim 1, characterized in that: The automatic door drop control mechanism includes a feedback confirmation unit, which is composed of a door drop position detection sensor, a feedback signal processing circuit and an alarm trigger unit, and is used to detect the actual operating state of the fast gate and trigger a secondary door drop operation or an alarm signal under abnormal circumstances; Wherein, the door drop position detection sensor is installed at the key moving part of the fast gate, and is used to trigger a feedback signal when the gate reaches the fully closed position; After receiving the sensor signal, the feedback signal processing circuit determines the gate position status and sends a door-dropping completion signal to the upper computer monitoring system; if the door-dropping completion signal is not detected within the preset time, the feedback signal processing circuit controls the alarm trigger unit to make the warning light flash, trigger the buzzer to sound an alarm, and send a second door-dropping command to the relay control unit to try to re-execute the door-dropping operation.

7. The host unit forward and reverse rotation warning and door drop control system according to claim 1, characterized in that: The forward and reverse monitoring module includes a temperature compensation unit, which includes a temperature sensor and a compensation calculation module. The temperature sensor is installed near the Hall dual-channel sensor and is used to detect changes in ambient temperature. The compensation calculation module dynamically corrects the signal output of the Hall dual-channel sensor based on the detection result of the temperature sensor to eliminate the Hall sensor signal drift caused by temperature changes.

8. The host unit forward and reverse rotation warning and door drop control system according to claim 1, characterized in that: The automatic door-dropping control mechanism includes a damping adjustment unit, which is composed of a fluid buffer, a pressure sensor and a control valve. The fluid buffer is connected to the hydraulic actuator and is used to provide adjustable damping during the door-dropping process to prevent the gate from overshooting or mechanical shock due to inertia. The pressure sensor is used to monitor the pressure changes in the hydraulic system in real time and provide a feedback signal to the control valve. The control valve is used to adjust the damping strength of the fluid buffer according to the door-dropping speed and the system pressure, so that the door-dropping process can respond quickly in an emergency.

9. The host unit forward and reverse rotation warning and door drop control system according to claim 2, characterized in that: The error correction algorithm execution module is specifically used for: In the signal noise suppression stage, the signal of the Hall dual-channel sensor is dynamically adjusted based on adaptive nonlinear gain filtering according to the following formula 1: in, is the filtered signal; is the original signal of the Hall sensor in the signal noise suppression stage; is the noise term; is the adaptive gain factor, calculated according to the following formula 2: in, Parameters for adjusting the smoothness of signal filtering; For the current moment The sensor measurement signal at For the previous moment The sensor measurement signal at is the noise suppression gain adjustment coefficient; is the noise standard deviation; To avoid a small constant where the denominator tends to zero; In the trend compensation stage, compensation is performed according to the following formula 3 to dynamically adjust the sensor signal to make it closer to the actual operating state: in, It is the correction signal after trend compensation; It is the original signal of the Hall sensor in the trend compensation stage; is the first-order trend compensation coefficient; is the second-order trend compensation coefficient; is the long-term signal offset correction factor; is the exponential decay factor; Indicates the current time; Indicates at time The Hall sensor measures the signal at that moment.

10. The host unit forward and reverse rotation warning and door drop control system according to claim 5, characterized in that: The trend analysis algorithm is specifically used to execute the trend analysis algorithm. The trend analysis algorithm adopts a dynamic weighted Bayesian state prediction method to analyze the historical operation data of the host group with a multivariate time series, and combines the current environmental parameters and load changes to establish a fault prediction model based on probability reasoning. The trend analysis algorithm includes data preprocessing, state feature extraction, dynamic probability modeling and abnormality discrimination stages; In the data preprocessing stage, the operating status information of the host group is obtained from the data acquisition unit, including the Hall sensor signal, load current, ambient temperature, and vibration amplitude, and a low-pass filtering method is used to remove high-frequency noise to improve data stability; the data is normalized so that data of different dimensions can be analyzed under the same calculation framework, and a sliding window method is used to construct a historical data set; In the state feature extraction stage, the change rate and acceleration of each variable are calculated, and a state feature vector is constructed based on the calculated data to characterize the change trend of the current operating state of the host group, wherein the feature vector includes a first-order derivative, a second-order derivative, and a long-term trend attenuation term; In the dynamic probability modeling stage, the Bayesian hidden state model is used to calculate the failure probability, the Markov process is used to describe the transition of the host group state, and the probability distribution of the state transition matrix is ​​estimated based on historical data; In the abnormality identification stage, according to the following formula 4, the future The probability of a host group reversal failure within a time step : in, Representing the future The cumulative probability of a reversal failure occurring within a time step; Represents a fault state, Represents at time The probability density of entering the fault state is calculated by the Bayesian state transition matrix and estimated by Monte Carlo sampling; Representative Timestamp of historical status data; is the dynamic weight of the historical state; is the exponential decay factor; is the trend influencing factor; is the signal weighted attenuation factor; represents the total number of variables used for trend acceleration correction, i.e., the number of key sensor signals considered in trend analysis; Represents the current time; Representative The time point when the sensor signal last changed significantly; when If the set threshold is exceeded, a warning signal is triggered and an alarm message is sent to the remote data synchronization module so that the management personnel can take preventive measures in time to prevent the occurrence of host group reversal failure.

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