Multi-parameter cooperative monitoring and real-time early warning method and device

Abstract

The invention provides a multi-parameter cooperative monitoring and real-time early warning method and device, and relates to the technical field of hydropower station auxiliary system small motor state monitoring, and the method comprises the steps: synchronously collecting the operation data of a small motor through an embedded sensor array; hardware filtering processing is carried out on the collected vibration signals, drift compensation is carried out on the temperature signals based on environment interference characteristics, and calibrated multi-dimensional operation parameters are generated; the fault type and grade are judged through a multi-parameter collaborative analysis algorithm, insulation aging early warning is triggered when the winding temperature change rate is abnormal and no load fluctuates, abrasion early warning is triggered when the bearing temperature or vibration amplitude exceeds a preset threshold value, and winding fault early warning is triggered when the three-phase current unbalance degree exceeds a threshold value; real-time monitoring data and early warning information are transmitted to a hydropower station monitoring system through two channels of the wired communication unit and the wireless communication unit, and linkage control of local sound-light alarm and a remote system is achieved. The system stability is effectively enhanced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of state monitoring of small motors of auxiliary systems of hydropower stations, and in particular to a multi-parameter cooperative monitoring and real-time early warning method and device. BACKGROUND

[0002] As the core guarantee system for the safe operation of the main unit, the auxiliary system of the hydropower station is widely used in key links such as oil, water and gas medium circulation control. In the related art, a basic state monitoring framework is constructed through the cooperative operation of current monitoring, temperature detection and vibration analysis. Specifically, the monitoring system covers the whole process from data acquisition to fault early warning, including key links such as electrical parameter monitoring, thermodynamic state sensing and mechanical vibration analysis. With the development of intelligent power systems, the existing technology mainly adopts a single parameter monitoring architecture. Although the traditional scheme can realize basic operation monitoring, it has systematic defects such as insufficient monitoring dimension and poor environmental adaptability, and it is difficult to meet the high reliability requirements of modern hydropower stations for auxiliary systems.

[0003] However, in the existing small motor monitoring method, current or surface temperature is directly used as the main monitoring index, and no correlation analysis model of composite fault characteristics such as winding insulation state, bearing wear degree and rotor stability is established, which may lead to insufficient fault recognition rate (industry data), or data distortion (error ) caused by electromagnetic interference ). In a typical hydropower station scenario, the combined interference of strong electromagnetic environment, high humidity and multiple vibration sources significantly reduces the monitoring accuracy, and the existing device mainly adopts a local storage scheme, so the data cannot be interacted with system in real time, and the fault response time is as long as several hours. When the vibration amplitude or bearing temperature , the traditional monitoring system often causes false positives and false negatives due to signal drift (such as sensor drift rate / month), which may cause auxiliary system cascading failure and eventually cause the main unit to shut down and cause hundreds of thousands of economic losses. SUMMARY

[0004] The present application aims to at least partially solve one of the technical problems in the related art.

[0005] To this end, the first object of the present application is to propose a multi-parameter cooperative monitoring and real-time early warning method.

[0006] The second object of the present application is to propose a multi-parameter cooperative monitoring and real-time early warning device.

[0007] The third objective of this invention is to provide an electronic device.

[0008] The fourth objective of this invention is to provide a computer-readable storage medium.

[0009] The fifth objective of this invention is to provide a computer program product.

[0010] To achieve the above objectives, a first aspect of the present invention proposes a multi-parameter collaborative monitoring and real-time early warning method, comprising: S1 synchronously collects winding temperature, bearing temperature, vibration amplitude, three-phase current and speed data of the small motor during operation through an embedded sensor array; S2 performs hardware filtering on the collected vibration signal and performs drift compensation on the temperature signal based on environmental interference characteristics to generate calibrated multidimensional operating parameters. S3 uses a multi-parameter collaborative analysis algorithm to determine the fault type and level. Among them, when the winding temperature change rate is abnormal and there is no load fluctuation, an insulation aging warning is triggered. When the bearing temperature or vibration amplitude exceeds the preset threshold, a wear warning is triggered. When the three-phase current imbalance exceeds the threshold, a winding fault warning is triggered. S4 transmits real-time monitoring data and early warning information to the hydropower station monitoring system through dual channels of wired and wireless communication units, realizing local audible and visual alarms and remote system linkage control.

[0011] Optionally, the step of synchronously collecting winding temperature, bearing temperature, vibration amplitude, three-phase current, and speed data of the small motor during operation via an embedded sensor array further includes: S11, adopts 3-way The platinum resistance sensor is embedded in the end of the three-phase stator winding of the motor, and the resistance signal is converted into a temperature signal by a temperature transmitter. Standard current signals are acquired; S12, using 2 channels The thermistor sensor is magnetically mounted on the front and rear bearing end covers of the motor to collect the temperature data of the bearing outer ring.

[0012] Optionally, the step of performing hardware filtering on the acquired vibration signal and performing drift compensation on the temperature signal based on environmental interference characteristics to generate calibrated multidimensional operating parameters further includes: S21 uses a Kalman filter algorithm to process vibration signals and suppress electromagnetic interference at the hydropower station site; S22, based on humidity compensation formula Drift compensation is performed on the temperature data from the NTC sensor, where For ambient relative humidity, and This is the calibration coefficient.

[0013] Optionally, the method of using a multi-parameter collaborative analysis algorithm to determine the fault type and level further includes: S31, when the winding temperature change rate Furthermore, when the three-phase current imbalance exceeds the threshold, an insulation aging warning is triggered. S32, when the bearing temperature Or vibration amplitude The wear warning is triggered in time, and the frequency components of the vibration signal are recorded. .

[0014] Optionally, the method of transmitting real-time monitoring data and early warning information to the hydropower station monitoring system through a dual-channel approach of wired and wireless communication units further includes: S41, via RS485 bus Transmit Modbus-RTU protocol data at baud rate; S42, via LoRa module, achieves transmission distance... Send wireless data packets containing warning level indicators within the range.

[0015] Optionally, the method further includes: S5, when acquiring speed data through a photoelectric speed sensor, uses spacing... The mounting structure is aligned with the reflective sticker on the motor shaft end, and the sampling frequency is set. To capture the characteristics of speed fluctuations.

[0016] To achieve the above objectives, a second aspect of the present invention provides a multi-parameter collaborative monitoring and real-time early warning device, comprising: The multi-parameter synchronous acquisition module is used to synchronously acquire winding temperature, bearing temperature, vibration amplitude, three-phase current and speed data of the small motor during operation through an embedded sensor array; The vibration filtering and temperature compensation module is used to perform hardware filtering on the collected vibration signals and to perform drift compensation on the temperature signals based on environmental interference characteristics, generating calibrated multidimensional operating parameters. The multi-parameter collaborative analysis and early warning module is used to determine the fault type and level using a multi-parameter collaborative analysis algorithm. Among them, when the winding temperature change rate is abnormal and there is no load fluctuation, an insulation aging early warning is triggered; when the bearing temperature or vibration amplitude exceeds a preset threshold, a wear early warning is triggered; and when the three-phase current imbalance exceeds a threshold, a winding fault early warning is triggered. The dual-channel communication and alarm module is used to transmit real-time monitoring data and early warning information to the hydropower station monitoring system through both wired and wireless communication units, enabling local audible and visual alarms and remote system linkage control.

[0017] To achieve the above objectives, a third aspect of the present invention provides an electronic device, comprising: a processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of the first aspects.

[0018] To achieve the above objectives, a fourth aspect of the present invention provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of the first aspects.

[0019] To achieve the above objectives, a fifth aspect of the present invention provides a computer program product that, when executed by a processor, implements the method described in any one of the first aspects.

[0020] This invention provides a method, device, electronic equipment, and storage medium for multi-parameter collaborative monitoring and real-time early warning, which enables synchronous monitoring and real-time early warning of multiple parameters of small motors in hydropower stations, improves the accuracy of fault identification, shortens the response time, and effectively ensures the stable operation of auxiliary systems.

[0021] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0022] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a flowchart illustrating a multi-parameter collaborative monitoring and real-time early warning method provided in an embodiment of the present invention. Figure 2 This is a schematic diagram of the structure of a multi-parameter collaborative monitoring and real-time early warning device provided in an embodiment of the present invention. Detailed Implementation

[0023] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0024] This invention provides a method for multi-parameter collaborative monitoring and real-time early warning. Figure 1 This is a flowchart illustrating a multi-parameter collaborative monitoring and real-time early warning method provided in an embodiment of the present invention.Figure 1 As shown, the method includes the following steps: Step S1: Synchronously collect winding temperature, bearing temperature, vibration amplitude, three-phase current and speed data of the small motor during operation through an embedded sensor array.

[0025] In one embodiment of the present invention, the invention synchronously collects winding temperature, bearing temperature, vibration amplitude, three-phase current, and speed data of a small motor during operation using an embedded sensor array, thereby achieving multi-dimensional real-time monitoring of the motor's operating status. This step is the core input link of the entire condition monitoring device, and its technical implementation is based on a distributed sensing architecture and a multi-channel data acquisition system, ensuring the acquisition of high-precision and high-reliability operating parameters in complex industrial environments.

[0026] From a technical implementation perspective, the sensing module consists of multiple dedicated sensors, deployed at key locations within the motor. The winding temperature acquisition unit employs a three-channel PT100 platinum resistance sensor, with an accuracy of [insert accuracy here]. The measurement range is to The resistance signal is converted into a temperature transmitter. A standard current signal is used for easy subsequent processing. The bearing temperature acquisition unit employs two NTC thermistor sensors with an accuracy of [insert accuracy here]. The measurement range is to It is magnetically attached to the front and rear bearing end caps for non-invasive temperature monitoring. The vibration acquisition unit is a triaxial accelerometer with a measurement range of [missing information]. Frequency response coverage to Mounted in the center of the motor base, it is used to capture radial (X / Y axis) and axial (Z axis) vibration signals. The three-phase current acquisition unit consists of three Hall current sensors, with a measurement range of... The accuracy is It achieves synchronous acquisition of three-phase current through a non-contact sleeve attached to the power line. The speed acquisition unit uses a photoelectric speed sensor with a measurement range of [missing information]. The resolution is Non-contact speed measurement is performed by aligning the reflective sticker on the end of the motor shaft.

[0027] In terms of specifications, each sensor possesses high accuracy and a wide measurement range to adapt to the operating requirements of small motors under different loads and conditions. For example, vibration signal acquisition needs to be performed within... Maintain linear response within the following acceleration range; three-phase current acquisition needs to be performed within... The following remains Measurement error. The default data acquisition period for all sensors is [missing information]. It can be customized according to actual needs. to Configure within the specified range.

[0028] In terms of application scenarios, this step is applicable to various power ratings less than [a certain value] in hydropower station auxiliary systems. Small electric motors, such as oil pump motors, water pump motors, and fan motors, can effectively capture abnormal signals during motor operation in complex environments with high humidity, strong electromagnetic interference, and multiple vibration sources through collaborative data acquisition by multiple sensors, providing a reliable data foundation for subsequent fault diagnosis.

[0029] From a technical perspective, this step enables comprehensive perception of the operating status of small motors, covering multiple dimensions such as electrical, thermal, and mechanical aspects, providing data support for multi-parameter collaborative analysis. Through synchronous acquisition and high-precision measurement, the accuracy and response speed of fault identification can be significantly improved, and the false alarm and missed alarm rates can be reduced, thereby enhancing the operational safety and maintenance efficiency of hydropower station auxiliary systems.

[0030] Furthermore, S1 includes: S11 uses a 3-channel PT100 platinum resistance sensor embedded in the end of the three-phase stator windings of the motor, and converts the resistance signal into a temperature transmitter. Standard current signals are acquired.

[0031] Specifically, in some implementations, the present invention employs a three-channel PT100 platinum resistance sensor embedded in the end of the three-phase stator winding of the motor, and converts the resistance signal into a temperature transmitter. Standard current signals are acquired. This step is crucial for real-time monitoring of motor winding temperature, and its technical implementation is based on the temperature-resistance characteristics of resistance thermometers and the conversion mechanism of industrial standard signals.

[0032] From a technical implementation perspective, the PT100 sensor is a platinum-based resistance temperature sensor whose resistance changes linearly with temperature, conforming to the IEC 60751 standard. In this invention, three PT100 sensors are embedded at the ends of the three-phase stator windings of the motor to ensure independent and synchronous acquisition of the temperatures of the A, B, and C phase windings. The sensors are installed through dedicated temperature sensing holes and encapsulated with epoxy resin to prevent poor contact or corrosion failure due to vibration or moisture during motor operation. The resistance signal output from each sensor is connected to a temperature transmitter via a two-wire or three-wire connection. The transmitter internally uses a constant current source excitation and differential measurement circuit to convert the resistance change into a signal. Standard current signal, which facilitates long-distance transmission and interference resistance.

[0033] In terms of specifications, the PT100 sensor has an accuracy of... The measurement range is to It can meet the monitoring needs of motor operation in environments ranging from -20°C to 60°C. The temperature transmitter output... The signal corresponds to this temperature range, where 4mA represents the lowest temperature (-50°C) and 20mA represents the highest temperature (200°C). The signal linearity error... It meets the accuracy requirements for industrial-grade monitoring. Furthermore, the transmitter has an IP65 protection rating, making it suitable for the complex environment of hydropower stations with high humidity and high dust levels.

[0034] At the application level, this step is suitable for small motors with a power of less than 10kW in hydropower station auxiliary systems, such as oil pumps, water pumps, and fans. By independently acquiring the temperature of the three-phase windings, it is possible to effectively identify potential fault precursors such as localized overheating, insulation aging, or short circuits. This is especially important when the motor load changes little; if the temperature change rate of a certain phase winding is... This may indicate a decline in insulation performance, thus triggering an early warning mechanism.

[0035] From a technical perspective, this step achieves high-precision and high-reliability acquisition of the motor's internal temperature, providing crucial input for subsequent fault diagnosis algorithms. Through standardization... The signal transmission effectively reduced the impact of electromagnetic interference on the data, improved the stability and consistency of signal transmission, and laid the foundation for multi-parameter collaborative diagnosis.

[0036] S12 uses two NTC thermistor sensors that are magnetically mounted on the front and rear bearing end covers of the motor to collect bearing outer ring temperature data.

[0037] Specifically, in some implementations, this invention employs two NTC thermistor sensors, magnetically mounted on the front and rear bearing end covers of the motor, to collect temperature data of the bearing outer rings. This technical solution is based on the negative temperature coefficient characteristic of NTC (Negative Temperature Coefficient) thermistors, meaning their resistance decreases exponentially with increasing temperature, thus achieving a highly sensitive response to temperature changes. The NTC sensor has a measurement range of -40°C to 150°C and a temperature measurement accuracy of ±0.5°C, meeting the temperature monitoring needs of small motors under complex operating conditions in hydropower stations.

[0038] In its specific operation, the NTC sensor is fixed to the metal surface of the motor bearing end cover using a magnetic mounting structure. The tight adhesion between the magnet and the end cover ensures a good heat conduction path between the sensor and the bearing outer ring, thereby improving the accuracy of temperature acquisition. This installation method requires no drilling or welding, facilitating rapid deployment and subsequent maintenance, and is particularly suitable for auxiliary motors in hydropower stations where space is limited or frequent replacements are required.

[0039] During data acquisition, the NTC sensor converts temperature changes into resistance changes, and then the integrated temperature transmitter linearly converts the resistance signal into a 4-20mA standard current signal, facilitating subsequent analog signal processing and digital acquisition. This signal is sampled by a 16-bit ADC (analog-to-digital converter) in the data processing module, converted into a digital signal, and then used in the calculation of a multi-parameter collaborative diagnostic algorithm.

[0040] This step plays a crucial role in the entire technical solution. Bearing temperature is an important indicator reflecting the mechanical condition of the motor; an abnormally high temperature may indicate bearing wear, poor lubrication, or overload operation. By collecting and analyzing bearing temperature data in real time, combined with parameters such as vibration amplitude and current imbalance, accurate identification of early motor faults can be achieved, improving the reliability and response speed of early warnings. In the high humidity and strong electromagnetic interference environment of hydropower stations, the stability of the NTC sensor and the non-invasive nature of its magnetic installation effectively ensure the continuity and accuracy of data acquisition.

[0041] Step S2 involves hardware filtering of the collected vibration signal and drift compensation of the temperature signal based on environmental interference characteristics to generate calibrated multidimensional operating parameters.

[0042] Specifically, in one embodiment of the present invention, hardware filtering of the acquired vibration signal and drift compensation of the temperature signal based on environmental interference characteristics are key steps in achieving high accuracy and reliability of small motor condition monitoring. This step is mainly accomplished through the collaborative action of the sensing module and the data processing module, and its technical implementation principle involves signal conditioning, filtering algorithms, and temperature compensation mechanisms.

[0043] At the technical implementation level, the vibration signal is acquired by a triaxial accelerometer, and its measurement range is [missing information]. The frequency response covers 0.1Hz to 1kHz. Due to the presence of various electromagnetic interference sources in the hydropower station environment, such as high-voltage equipment and frequency converters, vibration signals are easily contaminated by high-frequency noise during acquisition. Therefore, the data processing module uses hardware filtering circuits (such as low-pass filters) to perform preliminary filtering on the original vibration signal, suppressing noise components higher than 1kHz. Simultaneously, it combines the Kalman filter algorithm built into the STM32H743 microcontroller to dynamically optimize the vibration amplitude, further eliminating random interference and improving the signal-to-noise ratio.

[0044] In terms of temperature signal processing, since PT100 and NTC thermistor sensors are susceptible to changes in ambient temperature, leading to measurement drift, this invention introduces a drift compensation mechanism based on environmental interference characteristics. Specifically, by collecting the temperature of the motor casing or surrounding environment as a reference signal, and combining the sensor's nonlinear characteristic curve with historical data, a linear regression or differential compensation algorithm is used to correct the temperature signal. For example, when the winding temperature change rate is detected... Furthermore, when there is no load fluctuation, the system will trigger an early warning, indicating that there may be a trend of insulation aging.

[0045] In terms of parameters, the upper limit of the filtering frequency for the vibration signal is 1kHz, and the convergence speed and noise suppression capability of the Kalman filter must meet the real-time requirements (response time). The accuracy requirement for the temperature compensation algorithm is... This is to ensure the accuracy of the monitoring data. Furthermore, this step must also meet the overall accuracy error requirements of the device. To comply with motor condition monitoring standards such as IEC60034-27.

[0046] In application scenarios, this step is widely applicable to various small motors (such as oil pumps, water pumps, and fans) in hydropower station auxiliary systems. Especially in complex environments with high humidity, strong electromagnetic interference, and multiple vibration sources, it can effectively improve the stability and accuracy of data acquisition. Through hardware filtering and drift compensation, the system can generate calibrated multi-dimensional operating parameters, providing a reliable basis for subsequent fault diagnosis and early warning.

[0047] The technical effect of this step is to significantly reduce data distortion caused by environmental interference, improve the anti-interference ability and long-term stability of the monitoring device, thereby enhancing the accuracy of small motor fault identification and the timeliness of early warning, and providing strong support for the intelligent operation and maintenance of hydropower stations.

[0048] Furthermore, S2 includes: S21 uses a Kalman filter algorithm to process vibration signals and suppress electromagnetic interference at the hydropower station site.

[0049] Specifically, in the data processing module, a Kalman filter algorithm is used to process the vibration signal to effectively suppress strong electromagnetic interference at the hydropower station site and improve the accuracy and stability of signal acquisition. This step is technically based on state estimation theory, using recursive calculations to dynamically correct the raw vibration signal acquired by the sensor, thereby reducing noise impact and improving data quality.

[0050] In some implementations, the vibration acquisition unit uses a triaxial accelerometer with a measurement range of [missing information]. The frequency response range is 0.1Hz to 1kHz. The raw signal output by the sensor includes useful signals caused by the vibration of the motor itself, as well as electromagnetic interference noise generated by high-voltage equipment, frequency converters, etc. in the hydropower station. To eliminate such interference, the STM32H743 microcontroller in the data processing module has a built-in Kalman filter algorithm to process the acquired vibration signal in real time.

[0051] Kalman filtering is an optimal estimation method based on a state-space model. Its core lies in recursively estimating the system state through two steps: prediction and updating. In this invention, the vibration signal processing model can be expressed as:

[0052]

[0053] in, This is the system state vector (such as vibration acceleration). For control inputs (such as motor speed). The sensor measurement value, and These are process noise and measurement noise, respectively, both following a zero-mean Gaussian distribution. By setting an appropriate state transition matrix... Observation matrix and noise covariance matrix and This allows for optimal estimation of vibration signals.

[0054] Optionally, the sampling frequency of the filter is set to 1kHz to match the frequency response range of the sensor. Furthermore, to adapt to different operating conditions, the noise covariance parameter of the filter is adjusted. and The filtering effect can be dynamically configured via a host computer. After Kalman filtering, the signal-to-noise ratio of the vibration signal is significantly improved, and the data acquisition accuracy error can be controlled within a certain range. Within this range, it meets the monitoring needs of hydropower stations in complex electromagnetic environments.

[0055] This step plays a crucial role in the overall technical solution, especially in multi-parameter collaborative diagnosis, where the accuracy of vibration signals directly affects the judgment of mechanical faults such as bearing wear and rotor imbalance. By introducing Kalman filtering, not only is the signal quality improved, but the robustness of the device in high-interference environments is also enhanced, providing a reliable data foundation for subsequent fault diagnosis algorithms, thereby significantly reducing the false alarm rate and improving the overall performance of the early warning system.

[0056] S22, based on humidity compensation formula Drift compensation is performed on the temperature data from the NTC sensor, where For ambient relative humidity, and This is the calibration coefficient.

[0057] Specifically, in this invention, the step "based on humidity compensation formula" "Drift compensation for NTC sensor temperature data" is a crucial step in the data processing module to correct temperature measurement errors caused by ambient humidity. This step involves introducing ambient relative humidity... As a compensation variable, it is combined with the pre-calibrated calibration coefficients. and The bearing temperature data collected by the NTC thermistor is dynamically corrected, thereby improving the accuracy and stability of temperature measurement in high humidity environments.

[0058] At the technical implementation level, the resistance of an NTC thermistor changes non-linearly with temperature, and its output signal needs to be converted into a digital temperature value via an ADC. However, in high-humidity environments such as hydropower stations, the packaging material or installation location of the NTC sensor may change due to humidity variations, altering the heat conduction path and causing temperature reading drift. Therefore, this invention incorporates a humidity sensor (optional expansion module) into the data processing module to collect ambient relative humidity in real time. And substitute it into the compensation formula Calculate the temperature deviation caused by humidity. This deviation value was then used to correct the original NTC temperature measurement, i.e. This allows for the acquisition of more accurate bearing temperature data.

[0059] In terms of parameters and indicators, The measurement range is typically 0~100%, with an accuracy of It complies with the environmental monitoring requirements of IEC 60751 standard. Calibration coefficient. and The values ​​were obtained through laboratory calibration. Specific values ​​are individually set based on the NTC sensor model, installation location, and environmental conditions. Typical values ​​are... , The linear relationship in the compensation formula is derived by fitting the temperature response curves of the NTC sensor under different humidity levels, ensuring that the compensation model has good adaptability and generalization ability.

[0060] In application scenarios, this step is mainly used in the processing of front and rear bearing temperature data acquired by NTC sensors. Because motors in hydropower station auxiliary systems often operate under complex conditions such as humidity, vibration, and electromagnetic interference, NTC sensors are susceptible to environmental humidity fluctuations, leading to temperature reading deviations. This compensation mechanism allows the device to immediately correct the data after acquisition, ensuring the reliability of the temperature data and providing accurate information for subsequent fault diagnosis (such as bearing wear, poor lubrication, etc.).

[0061] The technical effect of this step is to significantly reduce the interference of humidity on temperature measurement and improve the measurement accuracy of the NTC sensor in high humidity environments. According to actual measurement data, the compensated temperature error can be controlled within [a certain range]. Within the specified range, it meets the accuracy requirements of GB / T18459-2015 for industrial temperature monitoring devices. Simultaneously, this compensation mechanism enhances the adaptability and stability of the device in special environments such as hydropower stations, providing a solid data foundation for achieving multi-parameter collaborative diagnosis of small motors.

[0062] Step S3: Use a multi-parameter collaborative analysis algorithm to determine the fault type and level. When the winding temperature change rate is abnormal and there is no load fluctuation, an insulation aging warning is triggered. When the bearing temperature or vibration amplitude exceeds a preset threshold, a wear warning is triggered. When the three-phase current imbalance exceeds a threshold, a winding fault warning is triggered.

[0063] Specifically, in this invention, determining the fault type and level using a multi-parameter collaborative analysis algorithm is the core step in achieving intelligent monitoring of the small motor's status. This algorithm is based on five key parameters collected in real time: winding temperature, bearing temperature, vibration amplitude, three-phase current, and speed. It performs a comprehensive judgment using set thresholds and a rate-of-change model, thereby achieving accurate identification and graded early warning of the motor's operating status.

[0064] In some implementations, the algorithm first analyzes the rate of change of winding temperature. The winding temperature acquisition unit uses a 3-channel PT100 platinum resistance sensor with an accuracy of [insert accuracy here]. The measurement range is to When the rate of change of winding temperature exceeds Furthermore, when there are no load fluctuations, the system determines that the insulation is showing signs of aging and triggers a level one warning. The judgment of load fluctuations is based on the imbalance of the three-phase current being less than the threshold, that is, no significant electrical abnormality has occurred, thus ruling out temperature rise caused by sudden load changes.

[0065] Furthermore, when the bearing temperature or vibration amplitude exceeds a preset threshold, the system triggers a wear warning. The bearing temperature acquisition unit uses two NTC thermistor sensors with an accuracy of [insert accuracy here]. The measurement range is to If the bearing temperature exceeds Or the vibration amplitude exceeds If the vibration is abnormal, it is determined to be bearing wear or abnormal vibration, triggering a level-two warning. This judgment logic combines two physical quantities, temperature and vibration, improving the accuracy of mechanical fault identification.

[0066] Furthermore, when the three-phase current imbalance exceeds a threshold, the system triggers a winding fault warning. The three-phase current acquisition unit uses three Hall current sensors with an accuracy of [missing information]. The measurement range is 0~50A. The formula for calculating the unbalance is: It is used to determine whether there is a winding short circuit or wiring abnormality.

[0067] This step, through multi-parameter collaborative analysis, effectively improves the comprehensiveness and accuracy of fault identification and reduces the false alarm rate. It also supports a multi-level early warning mechanism to ensure that fault information can be uploaded to the SCADA system in a timely manner and pushed to maintenance personnel, thereby realizing real-time monitoring and intelligent early warning of the operating status of small motors.

[0068] Furthermore, S3 includes: S31, when the winding temperature change rate Furthermore, when the three-phase current imbalance exceeds the threshold, an insulation aging warning is triggered.

[0069] Specifically, in some implementations, when the winding temperature change rate Furthermore, when the three-phase current is unbalanced, the system will trigger an insulation aging warning. This step is based on a coordinated judgment of the dynamic changes in winding temperature and the balance of the three-phase current during motor operation, aiming to identify early aging phenomena of motor insulation materials caused by long-term thermal stress.

[0070] From a technical implementation perspective, the calculation of the winding temperature change rate relies on three PT100 platinum resistance sensors embedded in the ends of the three-phase stator windings of the motor. The 4-20mA current signal output by the sensors is converted into a digital signal by a temperature transmitter, and then sampled and processed by an STM32H743 microcontroller. The microcontroller uses a 10-second sampling period as the default and calculates the temperature change rate through a sliding time window (e.g., 60 sampling points corresponding to 10 minutes), using the following formula:

[0071] in, Indicates the rate of temperature change. and These represent the current winding temperature and the winding temperature in the previous time period, respectively. This is a time interval (in hours). When At that time, the system initially determined that there was an abnormal temperature rise trend.

[0072] Furthermore, if the three-phase current imbalance exceeds the threshold at this point, the temperature rise caused by load fluctuations or external electrical anomalies can be ruled out, thus confirming that the temperature rise is mainly caused by the aging of the internal insulation material of the motor. The calculation method for three-phase current imbalance is as follows:

[0073] in, These are the three-phase current values, This represents the percentage of imbalance. This parameter is acquired by a three-channel Hall current sensor with an accuracy of [insert accuracy here]. The measurement range is 0~50A.

[0074] In practical applications, this early warning mechanism is suitable for small motors with a power of less than 10kW in hydropower station auxiliary systems, such as oil pump motors and water pump motors. In environments with high humidity, strong electromagnetic interference, and frequent vibration, the device uses hardware filtering and software algorithms to ensure the accuracy and stability of temperature and current data.

[0075] The technical value of this step lies in its ability to effectively distinguish between normal temperature rise and temperature rise caused by abnormal aging through multi-parameter collaborative analysis, significantly reducing the false alarm rate. In the absence of obvious electrical faults (such as three-phase current balance), it can quickly identify insulation aging trends, providing maintenance personnel with early warning information, thereby enabling preventative maintenance, extending motor lifespan, and ensuring the continuous and stable operation of hydropower station auxiliary systems.

[0076] S32, when the bearing temperature Or vibration amplitude The wear warning is triggered in time, and the frequency components of the vibration signal are recorded. .

[0077] Specifically, in some implementations, when the bearing temperature Or vibration amplitude When this happens, the device will trigger a wear warning and record the vibration signal. Frequency components within the frequency range. This step is an important component of the fault diagnosis algorithm in the condition monitoring device of this invention, aiming to achieve early identification and warning of the wear condition of small motor bearings through multi-parameter collaborative analysis.

[0078] From a technical implementation perspective, this early warning mechanism relies on the STM32H743 microcontroller in the data processing module for real-time judgment. The microcontroller first receives the NTC thermistor signal from the bearing temperature acquisition unit, converts it via an ADC, and then compares it with a preset temperature threshold. The vibration is compared with the original vibration signal output by the triaxial accelerometer of the vibration acquisition unit. After being filtered by the signal conditioning circuit, the effective value (RMS) of the vibration velocity is calculated by the microcontroller and compared with the original signal. The threshold is compared. If any condition is met, a wear warning is triggered.

[0079] Furthermore, the frequency components of the vibration signal are recorded using a Fast Fourier Transform (FFT) algorithm. The microcontroller performs time-domain sampling on the acquired vibration acceleration signal (the sampling rate is typically 1000 Hz). Then perform an FFT transformation to extract... The frequency range covers common fault frequencies of motor bearings (such as inner ring, outer ring, rolling element fault frequencies and their harmonics), which helps to identify early wear or abnormal vibration modes.

[0080] In terms of parameter specifications, the bearing temperature acquisition unit uses an NTC thermistor with an accuracy of [insert accuracy here]. The measurement range is to This meets the temperature monitoring requirements for the motor operating environment in hydropower station auxiliary systems. The threshold for vibration amplitude is set to... It complies with the classification requirements for motor vibration status in the IEC60034-14 standard, ensuring the scientific and practical nature of the early warning.

[0081] At the application level, this step is suitable for small motors with a power of less than 10kW in hydropower station auxiliary systems, such as oil pump motors, water pump motors, and wind turbine motors. In actual deployment, the device collects bearing status in real time through magnetic NTC sensors and triaxial accelerometers, and combines this with the multi-parameter analysis capabilities of a microcontroller to achieve dynamic monitoring of the motor's mechanical status. When an anomaly is detected, the early warning module will issue an alarm through local LED indicators and a buzzer, and upload the warning information to the SCADA system via an RS485 or LoRa communication module, facilitating timely response by maintenance personnel.

[0082] The technical advantage of this step lies in its ability to effectively identify early warning signs such as bearing wear, poor lubrication, or foreign object intrusion by setting reasonable temperature and vibration thresholds and combining them with spectral analysis, significantly improving the accuracy and timeliness of early warnings. In practical applications, this mechanism has successfully prevented numerous motor shutdowns caused by bearing failures, demonstrating high engineering practicality and fault prevention capabilities.

[0083] Step S4: Real-time monitoring data and early warning information are transmitted to the hydropower station monitoring system through a dual-channel wired communication unit and a wireless communication unit, so as to realize the linkage control of local sound and light alarm and remote system.

[0084] Specifically, this step transmits real-time monitoring data and early warning information to the hydropower station monitoring system through a dual-channel wired and wireless communication unit, realizing local audible and visual alarms and remote system linkage control. This is a key link in the present invention to achieve rapid response to fault information and coordinated system control.

[0085] At the technical implementation level, the communication module consists of two independent transmission channels: the wired communication unit uses an RS485 bus, supports the Modbus-RTU protocol, and its baud rate can be configured within the range of 9600-115200bps, ensuring efficient and stable data interaction with the existing SCADA system of the hydropower station. This method is suitable for scenarios with existing wired communication infrastructure, featuring low transmission latency and high data integrity. The wireless communication unit integrates a LoRa module, with a transmission distance of ≤5km and strong anti-interference capabilities. It is suitable for motor equipment where wiring is not possible or where temporary monitoring devices need to be installed, and can upload data to the hydropower station's wireless monitoring gateway for remote access and monitoring.

[0086] At the parameter level, the communication module supports dual-channel redundant transmission, ensuring data communication continues even if one channel fails. Warning information is identified via specific register addresses in the Modbus-RTU protocol, including the warning level (Level 1, Level 2, Level 3), parameter type (such as winding temperature, bearing temperature, vibration amplitude, etc.), and numerical information. Remote warning information is sent from the STM32H743 microcontroller to the communication module via the UART interface, and then encapsulated into standard protocol data packets by the communication module, which uploads them to the SCADA system via wired or wireless means. Local audible and visual alarms are controlled by the microcontroller through the GPIO interface according to the warning level, driving a 3-color LED indicator and a buzzer. The red LED and buzzer are linked during Level 3 warnings, with a volume ≥80dB, ensuring timely response by on-site personnel.

[0087] At the application level, this step is widely applicable to various small motors (such as oil pumps, water pumps, and fans) in hydropower station auxiliary systems. Especially in environments with strong electromagnetic interference, high humidity, and frequent vibration, the dual-channel communication design effectively improves system reliability. For example, on a 5.5kW oil pump motor, when the bearing temperature exceeds 80°C and the vibration amplitude exceeds 5mm / s, the device triggers a level three warning, and the SCADA system immediately performs an automatic shutdown operation to prevent further damage to the equipment.

[0088] In terms of technical effectiveness, this step achieves seamless linkage between local and remote early warning systems, significantly shortening fault response time (≤10s) and improving the overall fault diagnosis efficiency and control accuracy of the system. Simultaneously, the compatibility design with Modbus-RTU and LoRa protocols reduces system integration difficulty and enhances the deployment flexibility and adaptability of the device in different hydropower station environments, providing a solid foundation for intelligent and automated operation and maintenance.

[0089] Furthermore, S4 includes: S41, via RS485 bus Transmit Modbus-RTU protocol data at baud rate.

[0090] Specifically, in some implementations, the present invention uses an RS485 bus to... Transmitting Modbus-RTU protocol data at baud rate is a crucial step in achieving real-time communication between the device and the hydropower station's SCADA system. This step, based on industrial fieldbus communication standards, ensures stable and reliable transmission of monitoring data and control commands even in complex electromagnetic interference environments.

[0091] From a technical implementation perspective, the RS485 bus employs differential signal transmission, possessing long-distance transmission capabilities (typically up to 1200 meters) and strong anti-interference characteristics, making it suitable for hydropower stations operating in conditions involving high-voltage equipment, humid environments, and mechanical vibrations. The Modbus-RTU protocol, as a serial communication protocol, is based on a master-slave structure and achieves ordered data exchange through frame format (address code, function code, data field, and checksum). In this invention, the communication module connects to the STM32H743 microcontroller via a UART interface. The microcontroller packages the processed monitoring data (such as winding temperature, bearing temperature, vibration amplitude, three-phase current, and rotational speed) into Modbus-RTU protocol frames and sends them to the RS485 bus. The receiving SCADA system parses these protocol frames to obtain real-time operating status and fault information.

[0092] In terms of parameters, the RS485 communication baud rate supports The baud rate can be dynamically configured based on the communication distance and interference intensity. For example, in scenarios with strong interference or long transmission distances, a lower baud rate (such as 9600bps) can be selected to improve communication stability; while in short-distance, low-interference environments, it can be increased to 115200bps to accelerate the data refresh rate. In the Modbus-RTU protocol, the data frame length is typically 8 data bits, 1 stop bit, with no parity or even parity. Specific configurations must comply with IEC60870-5-104 or MODBUS-IDA standards. The communication address code is set by the host computer to ensure that multiple monitoring devices can be independently identified on the same bus.

[0093] In terms of application scenarios, this step is widely used in hydropower station auxiliary systems, such as remote status monitoring of small motors like oil pumps, water pumps, and wind turbines. Through the RS485 bus, the device can upload real-time data to the SCADA system, enabling centralized monitoring and fault-linked control. Simultaneously, the SCADA system can also send configuration commands to the device via this bus, such as modifying the data acquisition cycle and updating warning thresholds, improving system flexibility and maintainability.

[0094] From a technical perspective, this step effectively solves the problems of unstable communication, large data delays, and high bit error rates between existing monitoring devices and control systems. Through the reliable frame structure of the Modbus-RTU protocol and the differential transmission mechanism of RS485, the communication bit error rate can be controlled within [specific parameters]. The data refresh cycle can be shortened to less than 10 seconds, which significantly improves the fault response speed and system linkage efficiency, and provides a solid foundation for the intelligent operation and maintenance of hydropower station auxiliary systems.

[0095] S42, via LoRa module, achieves transmission distance... Send wireless data packets containing warning level indicators within the range.

[0096] Specifically, in some implementations, the LoRa module is used to extend the transmission distance. Sending wireless data packets containing warning level identifiers within a specified range is one of the core functions of the wireless communication unit in the communication module of this invention. This step aims to achieve reliable transmission of remote real-time monitoring and warning information for the status of small motors, and is particularly suitable for scenarios in hydropower stations where wired communication lines cannot be laid, such as temporary installation of motors or areas with limited wiring.

[0097] From a technical implementation perspective, the LoRa module employs chirp-spread-spectrum (CSS) modulation technology, which offers strong anti-interference capabilities and long-distance transmission performance. In this invention, the LoRa module operates in the Sub-1GHz band (e.g., 433MHz or 868MHz), supporting various spreading factors (SF) and bandwidth (BW) configurations to adapt to different transmission distances and data rate requirements. Data packets use a custom protocol format, including the device ID, timestamp, values ​​of various monitoring parameters, and warning level identifiers (e.g., 0x01 for Level 1 warning, 0x02 for Level 2 warning, and 0x03 for Level 3 warning). CRC checksum and preamble detection ensure data integrity and reception reliability.

[0098] In terms of parameter specifications, the transmission distance of LoRa modules is... Within its range, it meets the deployment requirements of most small generators in hydropower station auxiliary systems. Its transmit power is configurable from 2 to 20 dBm, and its receive sensitivity can reach -137 dBm (under SF12 and BW125 kHz conditions), ensuring stable communication even in complex electromagnetic environments. The data packet transmission period can be configured by the host computer, typically set to 10 to 60 seconds to balance real-time performance and power consumption.

[0099] In application scenarios, this step is particularly suitable for small motors that are widely distributed and difficult to wire in hydropower stations, such as equipment installed near turbines or in underground corridors. Through the LoRa module, the device can upload early warning information to the wireless monitoring gateway in real time, and then the gateway forwards it to the SCADA system, achieving seamless integration with existing monitoring platforms. Maintenance personnel can receive early warning push notifications via a mobile app and respond to faults promptly.

[0100] The technical effect of this step is that it enables remote transmission of multi-level early warning information wirelessly, improving the system's flexibility and deployment efficiency. At the same time, it ensures communication stability and data accuracy even in complex electromagnetic interference environments, providing reliable support for the intelligent operation and maintenance of hydropower station auxiliary systems.

[0101] Step S5, when collecting speed data using a photoelectric speed sensor, uses spacing... The mounting structure is aligned with the reflective sticker on the motor shaft end, and the sampling frequency is set. To capture the characteristics of speed fluctuations.

[0102] Specifically, in some implementations, when acquiring rotational speed data using a photoelectric speed sensor, spacing is employed. The mounting structure is aligned with the reflective sticker on the motor shaft end, and the sampling frequency is set. This process enables high-precision capture of motor speed fluctuations. This step is a key component of the sensing module in this invention, and its technical implementation is based on optical reflection principles and high-speed sampling technology, ensuring stable acquisition of motor speed signals even under complex operating conditions.

[0103] From a technical implementation perspective, photoelectric speed sensors typically consist of an infrared transmitter and a photoelectric receiver, with a fixed distance between them. To ensure stable reception of reflected signals by the sensor during the rotation of the reflective sticker on the motor shaft end, the reflective sticker, typically a highly reflective circular or strip-shaped patch, is attached to the surface of the motor shaft end to generate periodic light signals during rotation. As the shaft rotates, the sensor calculates the rotational speed by detecting the periodic changes in the reflected light. To improve measurement accuracy, the sensor must be coaxially aligned with the shaft end, and the installation error should be controlled within a specified range. Within this range, to avoid signal distortion caused by offset.

[0104] Regarding the parameter specifications, the sampling frequency is set to This is to meet the requirement of real-time capture of speed fluctuation characteristics. According to the Nyquist sampling theorem, the sampling frequency should be at least twice the highest frequency of the signal; therefore, this setting can effectively cover the motor's speed fluctuations. to This range of rotational speed variations is particularly suitable for detecting sudden changes or periodic fluctuations in rotational speed. Furthermore, the sensor's resolution is set to... This ensures sensitivity to minute changes in rotational speed, thereby improving the accuracy of fault diagnosis.

[0105] In application scenarios, this step is suitable for various small motors (such as oil pumps, water pumps, and fans) in hydropower station auxiliary systems, especially under complex environmental conditions such as vibration, humidity, and electromagnetic interference. Through high sampling frequency and precise installation structure, abnormal motor speeds (such as stalled rotors or increased slip) can be effectively identified, providing crucial input for subsequent fault diagnosis algorithms. For example, when motor bearings become stuck or the load changes abruptly, the speed signal will fluctuate significantly; this fluctuation characteristic can be identified by the data processing module and trigger an early warning.

[0106] Furthermore, the technical effect of this step is that by acquiring high-precision, high-sampling-rate rotational speed data, the real-time perception capability of the motor's operating status is improved, providing a reliable basis for multi-parameter collaborative diagnosis, thereby enhancing the fault identification capability and early warning response speed of the entire monitoring device.

[0107] To achieve the above embodiments, the present invention also proposes a multi-parameter collaborative monitoring and real-time early warning device. Figure 2 This is a schematic diagram of a multi-parameter collaborative monitoring and real-time early warning device provided in an embodiment of the present invention. Figure 2 As shown, the device includes: The multi-parameter synchronous acquisition module 100 is used to synchronously acquire winding temperature, bearing temperature, vibration amplitude, three-phase current and speed data of the small motor during operation through an embedded sensor array; The vibration filtering and temperature compensation module 200 is used to perform hardware filtering on the collected vibration signals and perform drift compensation on the temperature signals based on environmental interference characteristics to generate calibrated multidimensional operating parameters. The multi-parameter collaborative analysis and early warning module 300 is used to determine the fault type and level using a multi-parameter collaborative analysis algorithm. Among them, when the winding temperature change rate is abnormal and there is no load fluctuation, an insulation aging early warning is triggered; when the bearing temperature or vibration amplitude exceeds a preset threshold, a wear early warning is triggered; and when the three-phase current imbalance exceeds a threshold, a winding fault early warning is triggered. The dual-channel communication and alarm module 400 is used to transmit real-time monitoring data and early warning information to the hydropower station monitoring system through a wired communication unit and a wireless communication unit, so as to realize local sound and light alarm and remote system linkage control.

[0108] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0109] To implement the above embodiments, the present invention also proposes an electronic device, comprising: a processor, and a memory communicatively connected to the processor; the memory stores computer execution instructions; the processor executes the computer execution instructions stored in the memory to implement the method provided in the foregoing embodiments.

[0110] To implement the above embodiments, the present invention also proposes a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the methods provided in the foregoing embodiments.

[0111] To implement the above embodiments, the present invention also proposes a computer program product, including a computer program that, when executed by a processor, implements the methods provided in the foregoing embodiments.

[0112] The collection, storage, use, processing, transmission, provision, and disclosure of user personal information involved in this invention all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0113] It should be noted that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold outside of these legitimate uses. Furthermore, such collection / sharing should only be conducted after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes authorization of relevant user information before the user uses the function. In addition, any necessary steps must be taken to protect and safeguard access to such personal information data and ensure that others with access to personal information data comply with their privacy policies and procedures.

[0114] This invention is intended to provide implementation schemes for users to selectively prevent the use or access to personal information data. That is, this disclosure is intended to provide hardware and / or software to prevent or block access to such personal information data. Once personal information data is no longer needed, risks can be minimized by restricting data collection and deleting data. Furthermore, where applicable, such personal information can be de-identified to protect user privacy.

[0115] In the foregoing descriptions of the embodiments, the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0116] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0117] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing custom logic functions or processes, and the scope of preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of the invention pertain.

[0118] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-including system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0119] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any of the following techniques known in the art, or a combination thereof: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0120] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0121] Furthermore, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0122] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

[0123] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0124] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for multi-parameter collaborative monitoring and real-time early warning, characterized in that, include: S1 synchronously collects winding temperature, bearing temperature, vibration amplitude, three-phase current and speed data of the small motor during operation through an embedded sensor array; S2 performs hardware filtering on the collected vibration signal and performs drift compensation on the temperature signal based on environmental interference characteristics to generate calibrated multidimensional operating parameters. S3 uses a multi-parameter collaborative analysis algorithm to determine the fault type and level. Among them, when the winding temperature change rate is abnormal and there is no load fluctuation, an insulation aging warning is triggered. When the bearing temperature or vibration amplitude exceeds the preset threshold, a wear warning is triggered. When the three-phase current imbalance exceeds the threshold, a winding fault warning is triggered. S4 transmits real-time monitoring data and early warning information to the hydropower station monitoring system through dual channels of wired and wireless communication units, realizing local audible and visual alarms and remote system linkage control.

2. The method according to claim 1, characterized in that, The method of synchronously collecting winding temperature, bearing temperature, vibration amplitude, three-phase current, and speed data of the small motor during operation via an embedded sensor array also includes: 3-way The platinum resistance sensor is embedded in the end of the three-phase stator winding of the motor, and the resistance signal is converted into a temperature signal by a temperature transmitter. Acquire standard mA current signals; Use 2 channels The thermistor sensor is magnetically mounted on the front and rear bearing end covers of the motor to collect the temperature data of the bearing outer ring.

3. The method according to claim 1, characterized in that, The process of performing hardware filtering on the acquired vibration signals and performing drift compensation on the temperature signals based on environmental interference characteristics to generate calibrated multidimensional operating parameters also includes: The Kalman filter algorithm is used to process the vibration signal and suppress electromagnetic interference at the hydropower station site; Based on humidity compensation formula Drift compensation is performed on the temperature data from the NTC sensor, where RH represents the ambient relative humidity. and This is the calibration coefficient.

4. The method according to claim 1, characterized in that, The method of using a multi-parameter collaborative analysis algorithm to determine the fault type and level also includes: When the winding temperature change rate Furthermore, an insulation aging warning is triggered when the three-phase current imbalance exceeds the threshold. When the bearing temperature Or vibration amplitude The wear warning is triggered in time, and the frequency components of the vibration signal are recorded. .

5. The method according to claim 1, characterized in that, The method of transmitting real-time monitoring data and early warning information to the hydropower station monitoring system through dual channels of wired communication unit and wireless communication unit also includes: via RS485 bus Transmit Modbus-RTU protocol data at baud rate; Using LoRa modules to achieve transmission distance Send wireless data packets containing warning level indicators within the range.

6. The method as described in claim 1, characterized in that, Also includes: S5, when acquiring speed data through a photoelectric speed sensor, uses spacing... The mounting structure is aligned with the reflective sticker on the motor shaft end, and the sampling frequency is set. To capture the characteristics of speed fluctuations.

7. A multi-parameter collaborative monitoring and real-time early warning device, characterized in that, include: The multi-parameter synchronous acquisition module is used to synchronously acquire winding temperature, bearing temperature, vibration amplitude, three-phase current and speed data of the small motor during operation through an embedded sensor array; The vibration filtering and temperature compensation module is used to perform hardware filtering on the collected vibration signals and to perform drift compensation on the temperature signals based on environmental interference characteristics, generating calibrated multidimensional operating parameters. The multi-parameter collaborative analysis and early warning module is used to determine the fault type and level using a multi-parameter collaborative analysis algorithm. Among them, when the winding temperature change rate is abnormal and there is no load fluctuation, an insulation aging early warning is triggered; when the bearing temperature or vibration amplitude exceeds a preset threshold, a wear early warning is triggered; and when the three-phase current imbalance exceeds a threshold, a winding fault early warning is triggered. The dual-channel communication and alarm module is used to transmit real-time monitoring data and early warning information to the hydropower station monitoring system through both wired and wireless communication units, enabling local audible and visual alarms and remote system linkage control.

8. An electronic device, characterized in that, include: A processor, and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the method as described in any one of claims 1-6.

10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method of any one of claims 1-6.

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