Real-time monitoring method and system for operation faults of coal mine electromechanical equipment

Abstract

The invention provides a coal mine electromechanical equipment operation fault real-time monitoring method and system, and the method comprises the steps: determining upstream drive equipment and downstream load equipment of target electromechanical equipment, and obtaining the vibration spectrum of the upstream drive equipment and the key phase information of the downstream load equipment; determining the vibration characteristic frequency correspondence degree of the target electromechanical equipment and the upstream driving equipment, and determining the vibration phase difference stability of the target electromechanical equipment and the downstream load equipment; determining a system coupling vibration offset according to the vibration characteristic frequency correspondence degree and the vibration phase difference stability; correcting an initial vibration threshold according to the system coupling vibration offset to obtain a dynamic early warning threshold; and comparing the vibration acceleration effective value of the target electromechanical equipment with the dynamic early warning threshold value, and if the vibration acceleration effective value continuously exceeds the limit, generating coupling abnormality early warning information. By adopting the scheme of the invention, the false alarm rate caused by the strong coupling of the system in the coal mine electromechanical monitoring can be reduced.

Description

Technical Field

[0001] This application relates to the field of real-time fault monitoring technology, and in particular to a method and system for real-time monitoring of operational faults in coal mine electromechanical equipment. Background Technology

[0002] Real-time fault monitoring is a technology that uses advanced sensor technology, data acquisition and transmission technology, and data analysis and processing technology to continuously and uninterruptedly collect, analyze and evaluate the operating status of equipment or systems, and can issue alarms or take countermeasures immediately (or almost immediately) when a fault occurs or is about to occur. Its core idea is to shift from traditional "reactive maintenance" and "periodic maintenance" to predictive maintenance.

[0003] Real-time monitoring of electromechanical faults in coal mines is specifically designed for real-time status monitoring and fault early warning of all electromechanical equipment used in coal mine production (such as coal mining machines, tunneling machines, and scraper conveyors). Existing monitoring methods mostly use fixed vibration thresholds and do not consider the strong coupling between equipment in the coal mine electromechanical system (such as the linkage between coal mining machines and scraper conveyors, and between hoists and motors). When abnormal vibration occurs in the drive equipment or load equipment, the vibration will be transmitted to the target equipment through mechanical connections, causing the vibration parameters of the target equipment to exceed the limits. However, this is not a fault of the target equipment itself, but a "transductive abnormality". Moreover, existing monitoring methods only monitor the parameters of a single device, making it difficult to determine the root cause of the abnormality. This leads to blind troubleshooting during maintenance, wasting manpower and resources, and even delaying the handling of the real fault. Therefore, how to determine the dynamic threshold for system linkage adaptation by quantifying the coupling vibration relationship between equipment, and thus reduce the false alarm rate caused by the strong coupling of the system in coal mine electromechanical monitoring, has become a challenge for the industry. Summary of the Invention

[0004] Based on this, this application provides a real-time monitoring method and system for coal mine electromechanical equipment operation faults to reduce the false alarm rate caused by strong system coupling in coal mine electromechanical monitoring.

[0005] In a first aspect, this application provides a method for real-time monitoring of operational faults in coal mine electromechanical equipment, comprising the following steps: Collect operational data of the target electromechanical equipment, including: effective value of vibration acceleration, vibration spectrum and key phase information; Identify the upstream drive device and downstream load device of the target electromechanical equipment, and obtain the vibration spectrum of the upstream drive device and the key phase information of the downstream load device; The vibration characteristic frequency correspondence between the target electromechanical equipment and the upstream driving equipment is determined based on the vibration spectrum of the target electromechanical equipment and the upstream driving equipment. The vibration phase difference stability between the target electromechanical equipment and the downstream load equipment is determined through the key phase information of the target electromechanical equipment and the downstream load equipment. The system coupled vibration offset is determined based on the correspondingity of the vibration characteristic frequencies and the stability of the vibration phase difference. The initial vibration threshold of the target electromechanical equipment is obtained, and then the initial vibration threshold is corrected according to the system coupling vibration offset to obtain the dynamic early warning threshold; The effective value of the vibration acceleration of the target electromechanical equipment is compared with the dynamic early warning threshold. If the value continues to exceed the limit, a coupling anomaly early warning information is generated.

[0006] In some embodiments, determining the upstream drive device and downstream load device of the target electromechanical equipment specifically includes: Obtain the design data and equipment parameters of the underground transmission system of the target electromechanical equipment in the coal mine. The design data includes transmission path engineering diagrams and component connection lists. The equipment parameters include equipment model and transmission ratio. Based on the design data, upstream candidate equipment that provides power to the target electromechanical equipment and downstream candidate equipment that receives the power output from the target electromechanical equipment are extracted; The transmission correlation between the upstream and downstream candidate devices and the target electromechanical equipment is verified by combining the real-time operating data of the target electromechanical equipment; Based on the transmission correlation, the upstream drive device and downstream load device of the target electromechanical equipment are selected from the upstream candidate devices and the downstream candidate devices.

[0007] In some embodiments, determining the correspondence between the vibration characteristic frequencies of the target electromechanical equipment and the upstream driving equipment based on the vibration spectra of the target electromechanical equipment and the upstream driving equipment specifically includes: Extract the core characteristic frequencies of the target electromechanical equipment from its vibration spectrum; Extract the core characteristic frequency of the upstream drive device from its vibration spectrum; The extracted core feature frequencies are filtered out, and frequency points with amplitudes lower than a preset amplitude threshold are removed to obtain the effective feature frequencies of the target electromechanical equipment and the effective feature frequencies of the upstream driving equipment. The effective characteristic frequency of the target electromechanical equipment is subtracted from the effective characteristic frequency of the upstream driving equipment to obtain the effective frequency difference value. If the effective frequency difference value is less than or equal to a preset frequency difference value range, it is determined to be a match. Traverse all effective characteristic frequencies of the target electromechanical equipment and the upstream driving equipment, calculate the ratio of the number of matches to the total number of effective characteristic frequencies of the target electromechanical equipment, obtain the frequency matching ratio, and determine the average amplitude similarity based on the amplitude similarity between each pair of matched effective characteristic frequencies. Multiplying the frequency matching ratio by the average amplitude similarity yields the frequency correspondence between the target electromechanical equipment and the upstream driving equipment.

[0008] In some embodiments, determining the vibration phase difference stability between the target electromechanical equipment and the downstream load equipment using key phase information of the target electromechanical equipment and the downstream load equipment specifically includes: Extract the target phase angle at different timestamps from the key phase information of the target electromechanical equipment; The load phase angle under the corresponding timestamp is extracted from the key phase information of the downstream load device, wherein the corresponding timestamp corresponds to a different timestamp in the key phase information of the target electromechanical equipment; The difference between the target phase angle and the load phase angle at different timestamps is calculated to obtain the vibration phase difference at different timestamps; The stability of the vibration phase difference between the target electromechanical equipment and the downstream load equipment is determined based on all vibration phase differences.

[0009] In some embodiments, determining the system coupled vibration offset based on the vibration characteristic frequency correspondence and the vibration phase difference stability specifically includes: Determine the weighting coefficients corresponding to the vibration characteristic frequency correspondence and the vibration phase difference stability; Calculate the offset component of the vibration characteristic frequency correspondence and the offset component of the vibration phase difference stability, respectively; The system coupled vibration offset is determined based on the offset components of the vibration characteristic frequency correspondence and the vibration phase difference stability, as well as the corresponding weighting coefficients.

[0010] In some embodiments, the dynamic early warning threshold is obtained by correcting the initial vibration threshold based on the system coupled vibration offset, specifically including: The correction coefficient for matching the current system coupled vibration offset is determined based on the correspondence between the system coupled vibration offset and the threshold correction coefficient. The initial vibration threshold is corrected according to the correction coefficient to obtain the dynamic early warning threshold.

[0011] In some embodiments, comparing the effective value of the vibration acceleration of the target electromechanical equipment with the dynamic early warning threshold, and generating coupling anomaly early warning information if the threshold is continuously exceeded, specifically includes: The effective value of the vibration acceleration of the target electromechanical equipment is compared with the dynamic warning threshold. If the effective value of the vibration acceleration of the target electromechanical equipment is greater than the dynamic warning threshold, it is marked as exceeding the limit. Obtain the preset threshold for the number of consecutive times exceeding the limit; If the number of times exceeding the limit within a continuous time period exceeds the threshold for continuous over-limit times, a coupling anomaly warning message will be generated.

[0012] Secondly, this application provides a real-time monitoring system for operational faults of coal mine electromechanical equipment, comprising: The acquisition module is used to acquire the operating data of the target electromechanical equipment, including: effective value of vibration acceleration, vibration spectrum and key phase information; The processing module is used to determine the upstream driving device and the downstream load device of the target electromechanical equipment, and to acquire the vibration spectrum of the upstream driving device and the key phase information of the downstream load device; The processing module is further configured to determine the correspondence between the vibration characteristic frequencies of the target electromechanical equipment and the upstream driving equipment based on the vibration spectrum of the target electromechanical equipment and the upstream driving equipment, and to determine the stability of the vibration phase difference between the target electromechanical equipment and the downstream load equipment through the key phase information of the target electromechanical equipment and the downstream load equipment; The processing module is also used to determine the system coupled vibration offset based on the vibration characteristic frequency correspondence and the vibration phase difference stability. The processing module is also used to obtain the initial vibration threshold of the target electromechanical equipment, and then correct the initial vibration threshold according to the system coupling vibration offset to obtain the dynamic early warning threshold. The execution module is used to compare the effective value of the vibration acceleration of the target electromechanical equipment with the dynamic early warning threshold. If the threshold is continuously exceeded, a coupling anomaly early warning information is generated.

[0013] Thirdly, this application provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the above-mentioned real-time monitoring method for operational faults of coal mine electromechanical equipment.

[0014] Fourthly, this application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described method for real-time monitoring of operational faults in coal mine electromechanical equipment.

[0015] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects: The real-time monitoring method and system for operational faults of coal mine electromechanical equipment provided in this application first collects operational data of the target electromechanical equipment, including: effective value of vibration acceleration, vibration spectrum, and key phase information; identifies the upstream driving equipment and downstream load equipment of the target electromechanical equipment, and obtains the vibration spectrum of the upstream driving equipment and the key phase information of the downstream load equipment; determines the correspondence of vibration characteristic frequencies between the target electromechanical equipment and the upstream driving equipment based on their vibration spectra, and determines the stability of the vibration phase difference between the target electromechanical equipment and the downstream load equipment through the key phase information; determines the system coupling vibration offset based on the vibration characteristic frequency correspondence and the vibration phase difference stability; obtains the initial vibration threshold of the target electromechanical equipment, and then corrects the initial vibration threshold according to the system coupling vibration offset to obtain a dynamic early warning threshold; compares the effective value of vibration acceleration of the target electromechanical equipment with the dynamic early warning threshold, and if it continues to exceed the limit, generates a coupling anomaly early warning information.

[0016] Therefore, this application first determines the correlation between the vibration characteristic frequencies of the target electromechanical equipment and the upstream driving equipment based on their vibration spectra, and then determines the stability of the vibration phase difference between the target electromechanical equipment and the downstream load equipment through key phase information. The vibration characteristic frequency correlation is a parameter characterizing the degree of correlation and matching between the target electromechanical equipment and the upstream driving equipment at the vibration characteristic frequency level, and the vibration phase difference stability is a parameter characterizing the stability of the vibration phase difference between the target electromechanical equipment and the downstream load equipment. These steps enable accurate capture of the vibration correlation characteristics between the target electromechanical equipment and the upstream and downstream equipment, thereby improving the reliability of the basic data for subsequent system coupled vibration analysis. Secondly, the system coupled vibration offset is determined based on the vibration characteristic frequency correlation and the vibration phase difference stability. The dynamic offset is a parameter characterizing the degree to which the overall coupled vibration of the transmission system composed of the target electromechanical equipment and upstream and downstream equipment (i.e., upstream drive equipment and downstream load equipment) deviates from the normal operating state. This step can transform the vibration correlation characteristics into a quantified coupling offset index, thereby improving the objectivity and accuracy of judging the coupled vibration state of the system. Then, the initial vibration threshold of the target electromechanical equipment is obtained, and then the initial vibration threshold is corrected according to the system coupled vibration offset to obtain a dynamic warning threshold. This step can make the warning threshold adapt to the real-time coupled vibration state, thereby improving the targeting of coupling anomaly warnings and reducing false alarms and missed alarms. Finally, the effective value of the vibration acceleration of the target electromechanical equipment is compared with the dynamic warning threshold. If it continues to exceed the limit, coupling anomaly warning information is generated. In summary, the solution of this application can reduce the false alarm rate caused by the strong coupling of the system in coal mine electromechanical monitoring. Attached Figure Description

[0017] Figure 1 This is an exemplary flowchart of a real-time monitoring method for operational faults of coal mine electromechanical equipment according to some embodiments of this application; Figure 2 This is a schematic diagram illustrating an application scenario of a real-time monitoring system for operational faults of coal mine electromechanical equipment, as shown in some embodiments of this application. Figure 3 This is a schematic flowchart illustrating the process of determining the stability of vibration phase difference according to some embodiments of this application; Figure 4 This is a schematic diagram of the structure of a real-time monitoring system for operational faults of coal mine electromechanical equipment, as shown in some embodiments of this application; Figure 5 This is a schematic diagram of the structure of a computer device for implementing a real-time monitoring method for operational faults of coal mine electromechanical equipment, according to some embodiments of this application. Detailed Implementation

[0018] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0019] refer to Figure 1 The figure is an exemplary flowchart of a real-time monitoring method for operational faults of coal mine electromechanical equipment according to some embodiments of this application. The real-time monitoring method for operational faults of coal mine electromechanical equipment mainly includes the following steps: In step 101, the operating data of the target electromechanical equipment is collected. The operating data includes: effective value of vibration acceleration, vibration spectrum and key phase information.

[0020] In practice, the acquisition of operational data from the target electromechanical equipment can be achieved in the following way: First, select acquisition hardware suitable for the type of target electromechanical equipment (such as motors, pumps, fans, etc.). Vibration-related data is acquired through a piezoelectric vibration accelerometer, which is fixedly installed at key vibration monitoring locations such as the equipment bearing housing, motor end cover, or transmission components, ensuring close contact between the sensor and the equipment surface to reduce signal attenuation. This is combined with a data acquisition card with high-speed analog-to-digital conversion capabilities. Key phase information is acquired through a photoelectric speed sensor, which is aligned with reflective marks or keyways on the equipment shaft end to capture the reference trigger signal for shaft rotation. Then, the system is started. The data acquisition system converts the analog vibration signals output by the vibration sensors into digital signals in real time using a data acquisition card. During this process, the real-time processing module built into the acquisition card performs sliding window-style real-time calculations on the digital vibration signals to directly generate effective values ​​of vibration acceleration. Simultaneously, the acquisition card's pre-amplifier spectrum processing function converts the time-domain vibration signals into frequency-domain vibration spectrum data in real time. Key phase information is obtained by capturing the shaft-end trigger signal in real time using a photoelectric speed sensor. This trigger signal is time-synchronized with the vibration signal. When the trigger signal is generated, the vibration data sampling point at the corresponding moment is recorded to determine the phase angle of the equipment shaft system corresponding to that sampling point, thus forming key phase information.

[0021] It should be noted that throughout the data acquisition process, a real-time communication link is established between the acquisition system and the host computer via industrial Ethernet or high-speed serial port. The acquisition rate is set to match the equipment's operating frequency (e.g., 20kHz-100kHz), and a timestamp is added to each type of data acquired. This ensures that the effective value of vibration acceleration, vibration spectrum, and key phase information remain consistent over time, achieving continuous real-time acquisition of operational data. Simultaneously, it avoids logical conflicts in time synchronization or data format with subsequent steps such as operational data processing and fault feature extraction.

[0022] In some embodiments, reference Figure 2As shown in the figure, this figure is a schematic diagram of the application scenario of a real-time monitoring system for the operation faults of coal mine electromechanical equipment, as illustrated in some embodiments of this application. The figure includes three main components: a data acquisition device, a server, and a data storage device. The data acquisition device is responsible for collecting the operation data of the target electromechanical equipment and sending the collected operation data to the server through a communication network. The real-time monitoring system for the operation faults of coal mine electromechanical equipment runs on the server. The server stores the processing results in the data storage device and visualizes them.

[0023] In step 102, the upstream drive device and the downstream load device of the target electromechanical equipment are determined, and the vibration spectrum of the upstream drive device and the key phase information of the downstream load device are obtained.

[0024] In some embodiments, determining the upstream drive device and downstream load device of the target electromechanical equipment can be achieved by the following steps: Obtain the design data and equipment parameters of the underground transmission system of the target electromechanical equipment in the coal mine. The design data includes transmission path engineering diagrams and component connection lists. The equipment parameters include equipment model and transmission ratio. Based on the design data, upstream candidate equipment that provides power to the target electromechanical equipment and downstream candidate equipment that receives the power output from the target electromechanical equipment are extracted; The transmission correlation between the upstream and downstream candidate devices and the target electromechanical equipment is verified by combining the real-time operating data of the target electromechanical equipment; Based on the transmission correlation, the upstream drive device and downstream load device of the target electromechanical equipment are selected from the upstream candidate devices and the downstream candidate devices.

[0025] In specific implementation, the design data and equipment parameters of the underground transmission system of the target electromechanical equipment in the coal mine can be obtained in the following way: the electronic design data of the underground transmission system corresponding to the target electromechanical equipment can be retrieved through the coal mine enterprise equipment management system; then, the equipment factory technical manual can be retrieved from the coal mine archives to extract the equipment parameters. Other methods can also be used in other embodiments, which are not limited here.

[0026] In specific implementation, the upstream candidate equipment that provides power to the target electromechanical equipment and the downstream candidate equipment that receives the power output from the target electromechanical equipment, based on the design data, can be extracted in the following way: The marked position of the target electromechanical equipment in the transmission path engineering diagram can be used as a reference, tracing back along the power transmission direction arrow: If the engineering diagram shows power from "high-voltage motor → reducer → coupling → main drum (target equipment)", then the "reducer, coupling" that directly inputs power to the target equipment and the power source "high-voltage motor" are listed as upstream candidate equipment; extending forward along the power transmission direction arrow: If the engineering diagram shows the target equipment outputs power to "…", then… The sequence "conveyor belt → driven roller → tensioning roller" indicates that the "conveyor belt and driven roller," which directly receive power from the target equipment, are listed as downstream candidate equipment. Non-power transmission components are eliminated based on the component connection list. For example, tensioning devices are only used to adjust conveyor belt tension, and cleaners are used to clean coal slag from the conveyor belt surface; neither participates in power transmission and is therefore excluded from the candidate equipment list. Finally, the extracted upstream and downstream candidate equipment are compiled into a table, marking the direct connection components between each candidate equipment and the target equipment to ensure that all candidate equipment belongs to the core power transmission link of the transmission system. Other methods can be used in other embodiments, which are not limited here.

[0027] In specific implementation, the transmission correlation between the upstream and downstream candidate devices and the target electromechanical equipment can be verified by combining real-time operating data of the target electromechanical equipment. This can be achieved in the following way: Real-time operating data can be obtained from the underground PLC control system and vibration / current sensor acquisition terminal in the coal mine. When verifying the upstream candidate device, observe the start-stop sequence. For example, after the upstream motor starts, the reducer operation signal should be detected within 0.5-1s, and then the target equipment start signal should be detected after 0.3-0.5s, conforming to the power transmission delay logic. Simultaneously monitor the load current: When the target equipment's load current increases by 10% due to an increase in coal transport volume, the upstream motor current should increase synchronously by 8%-12%, and the reducer output torque should increase synchronously (this can be measured using a torque sensor), with deviations not exceeding [a certain threshold]. The threshold is 10% or higher. When verifying downstream candidate equipment, the speed correlation is monitored: when the target equipment speed increases from 15 r / min to 18 r / min (which can be measured by the shaft end encoder), the downstream driven roller speed must increase synchronously from 12.5 r / min to 15 r / min according to the transmission ratio (e.g., the ratio of the diameter of the main roller to the driven roller is 1.2:1), and the conveyor belt running speed must increase synchronously from 0.94 m / s to 1.13 m / s (which can be measured by the laser velocimeter). If a candidate equipment does not meet the above timing, current, or speed correlation conditions (e.g., the standby motor is only powered on but not started, and there is no current change), it is marked as "correlation to be confirmed" to ensure that the verification results can distinguish between candidate equipment that participates in real-time transmission and those that do not. Other methods can also be used in other embodiments, which are not limited here.

[0028] In specific implementation, the upstream drive equipment and downstream load equipment of the target electromechanical equipment can be selected from the upstream and downstream candidate equipment based on the transmission correlation. This can be achieved in the following way: Correlation judgment criteria can be established: upstream candidate equipment must simultaneously meet the requirements of "start-stop timing matching, synchronous load current fluctuation, and speed matching the transmission ratio," while downstream candidate equipment must simultaneously meet the requirements of "synchronous speed fluctuation and operating status changing with the target equipment." For upstream candidate equipment selection: if "high-voltage motor and reducer" meet all judgment criteria, and the "standby motor" is not started and has no current fluctuation, then the standby motor is eliminated, and "high-voltage motor and reducer" are retained as upstream drive equipment. For downstream candidate equipment selection: if "conveyor belt and driven roller" meet the requirements of synchronous speed fluctuation, and the "tensioning roller" only moves with the tensioning device and has no correlation with the target equipment speed, then the tensioning roller is eliminated, and "conveyor belt and driven roller" are retained as downstream load equipment. Finally, the upstream drive equipment and downstream load equipment of the target electromechanical equipment are obtained. In other embodiments, other methods can also be used, which are not limited here.

[0029] In specific implementation, obtaining the vibration spectrum of the upstream driving device and the key phase information of the downstream load device can be achieved in the following way: First, the vibration spectrum acquisition points of the upstream driving device (e.g., reducer, drive motor) can be located according to the association list of the upstream driving device and the downstream load device. Priority should be given to the transmission end bearing housing directly connected to the target device (e.g., reducer output shaft end, motor load end), avoiding non-transmission parts. A piezoelectric vibration sensor adapted to the downhole environment should be selected, and the acquisition parameters should be configured according to a sampling frequency of 10kHz and a frequency band of 0-5000Hz. The sensor should be connected to the data acquisition module through an explosion-proof cable for real-time acquisition. Vibration signals are collected and converted into frequency domain spectrum data. After hardware filtering to remove 50Hz power grid interference, the data is stored to obtain the vibration spectrum of the upstream drive equipment. Then, the key phase acquisition points of the downstream load equipment (such as driven rollers or conveyor belt associated shafts) are located. The main shaft end of the equipment is selected, and a photoelectric encoder (with a resolution of ≥1024 lines / revolution) is installed. The encoder is synchronized with the target equipment acquisition system clock via the downhole industrial Ethernet to capture the shaft end rotation trigger signal in real time. The pulse signal is converted into an angle value to obtain the key phase information of the downstream load equipment. Other methods can be used in other embodiments, which are not limited here.

[0030] It should be noted that timestamps are recorded synchronously during the acquisition process to ensure that the time dimension of the upstream vibration spectrum and the downstream phase information are consistent, providing effective data for subsequent calculation of the vibration characteristic frequency correspondence and phase difference stability.

[0031] In step 103, the vibration characteristic frequency correspondence between the target electromechanical equipment and the upstream driving equipment is determined based on the vibration spectrum of the target electromechanical equipment and the upstream driving equipment, and the vibration phase difference stability between the target electromechanical equipment and the downstream load equipment is determined through the key phase information of the target electromechanical equipment and the downstream load equipment.

[0032] In some embodiments, determining the correspondence between the vibration characteristic frequencies of the target electromechanical equipment and the upstream driving equipment based on their vibration spectra can be achieved through the following steps: Extract the core characteristic frequencies of the target electromechanical equipment from its vibration spectrum; Extract the core characteristic frequency of the upstream drive device from its vibration spectrum; The extracted core feature frequencies are filtered out, and frequency points with amplitudes lower than a preset amplitude threshold are removed to obtain the effective feature frequencies of the target electromechanical equipment and the effective feature frequencies of the upstream driving equipment. The effective characteristic frequency of the target electromechanical equipment is subtracted from the effective characteristic frequency of the upstream driving equipment to obtain the effective frequency difference value. If the effective frequency difference value is less than or equal to a preset frequency difference value range, it is determined to be a match. Traverse all effective characteristic frequencies of the target electromechanical equipment and the upstream driving equipment, calculate the ratio of the number of matches to the total number of effective characteristic frequencies of the target electromechanical equipment, obtain the frequency matching ratio, and determine the average amplitude similarity based on the amplitude similarity between each pair of matched effective characteristic frequencies. Multiplying the frequency matching ratio by the average amplitude similarity yields the frequency correspondence between the target electromechanical equipment and the upstream driving equipment.

[0033] It should be noted that the vibration characteristic frequency correspondence in this application is a parameter that characterizes the degree of correlation and matching between the target electromechanical equipment and the upstream drive equipment at the vibration characteristic frequency level. Its core function is to reflect the consistency between the two in core vibration characteristics (such as rotation frequency, meshing frequency, etc.), and to provide key evidence for judging whether there is a vibration coupling relationship between the target electromechanical equipment and the upstream drive equipment, and whether the coupling problem is caused by the vibration transmission at the drive end.

[0034] In a specific implementation, the core characteristic frequencies of the target electromechanical equipment can be extracted from its vibration spectrum in the following way: based on the equipment parameters of the target electromechanical equipment (such as rated speed, transmission ratio, and number of gear teeth), the core characteristic frequencies can be located from its vibration spectrum, including: the spindle rotation frequency (converted according to the rated speed), 2-8 times the frequency (integer multiples of the rotation frequency), and the meshing frequency of the transmission components (such as the gear meshing frequency being associated with the rotation frequency based on the number of teeth). The frequency points corresponding to the above frequencies can be directly marked using a spectrum analysis tool. Other methods can also be used in other embodiments, which are not limited here.

[0035] In specific implementation, the core characteristic frequency of the upstream driving device can be extracted from the vibration spectrum of the upstream driving device in the following way: the core characteristic frequency is extracted according to the type of the upstream driving device (e.g., reducer, drive motor): if it is a reducer, extract its output shaft rotation frequency and gear meshing frequency; if it is a drive motor, extract its rotor rotation frequency and twice the power frequency; the extraction logic is consistent with the target electromechanical equipment to ensure that the characteristic frequency types of the two can be compared. Other methods can also be used in other embodiments, which are not limited here.

[0036] In specific implementation, the extracted core feature frequencies are screened, and frequency points with amplitudes lower than a preset amplitude threshold are removed. The effective feature frequencies of the target electromechanical equipment and the upstream driving equipment can be obtained in the following way: a preset amplitude threshold is set, and then the amplitude threshold is compared with the amplitude value corresponding to each core feature frequency. Frequency points with amplitudes lower than the amplitude threshold are removed, and the remaining frequency points are respectively used as the effective feature frequencies of the target electromechanical equipment and the upstream driving equipment. Other methods can also be used in other embodiments, which are not limited here.

[0037] In specific implementation, the average amplitude similarity can be determined based on the amplitude similarity between each pair of matched effective feature frequencies in the following way: the average value of the amplitude similarity between each pair of matched effective feature frequencies is calculated, and the calculated average value is used as the average amplitude similarity. Other methods can also be used in other embodiments, which are not limited here.

[0038] It should be noted that the amplitude threshold in this application can be set based on the measured value of environmental noise in underground coal mines, and is usually not less than 0.2 mm / s; the frequency difference range can be set in combination with the transmission accuracy of the equipment, and is usually ≤0.5 Hz. Other methods can also be used to set it in other embodiments, which are not limited here.

[0039] In some embodiments, reference Figure 3As shown in the figure, this is a schematic flowchart of determining the vibration phase difference stability in some embodiments of this application. In this embodiment, determining the vibration phase difference stability between the target electromechanical equipment and the downstream load equipment through key phase information of the target electromechanical equipment and the downstream load equipment can be achieved by the following steps: In step 1031, the target phase angle at different timestamps is extracted from the key phase information of the target electromechanical equipment; In step 1032, the load phase angle under the corresponding timestamp is extracted from the key phase information of the downstream load device, wherein the corresponding timestamp corresponds to a different timestamp in the key phase information of the target electromechanical equipment; In step 1033, the difference between the target phase angle and the load phase angle at different timestamps is calculated to obtain the vibration phase difference at different timestamps; In step 1034, the stability of the vibration phase difference between the target electromechanical equipment and the downstream load equipment is determined based on all vibration phase differences.

[0040] It should be noted that the vibration phase difference stability parameter in this application is a parameter that characterizes the stability of the vibration phase difference between the target electromechanical equipment and the downstream load equipment. Its core function is to reflect the coordination of the vibration phases of the two during transmission operation. By assessing the stability of the phase difference, it can determine whether the transmission coordination between the downstream load and the target electromechanical equipment is smooth, and provide a basis for identifying abnormal vibration coupling at the phase level (such as transmission incoordination caused by a sudden phase change).

[0041] In a specific implementation, the target phase angle at different timestamps can be extracted from the key phase information of the target electromechanical equipment in the following way: based on the collected key phase information of the target electromechanical equipment, the phase angle values ​​at the corresponding timestamps can be read one by one to obtain the target phase angle at different timestamps. Other methods can also be used in other embodiments, which are not limited here.

[0042] In specific implementation, the load phase angle under the corresponding timestamp can be extracted from the key phase information of the downstream load device in the following way: taking the timestamp of the target electromechanical equipment as the benchmark, the phase angle value that is completely consistent with the timestamp of the target phase angle sequence is selected from the key phase information of the downstream load device to form the load phase angle with the corresponding timestamp. Other methods can also be used in other embodiments, which are not limited here.

[0043] In specific implementation, the difference between the target phase angle and the load phase angle at different timestamps is calculated. The vibration phase difference at different timestamps can be obtained by the following method: the difference between the target phase angle and the load phase angle at the same timestamp can be calculated. If the difference is greater than 180°, the difference is subtracted from 360° (e.g., target phase angle 350°, load phase angle 20°, difference 330° → corrected to 30°) to obtain the vibration phase difference at each timestamp. Other methods can also be used in other embodiments, which are not limited here.

[0044] In specific implementation, the vibration phase difference stability between the target electromechanical equipment and the downstream load equipment can be determined based on all vibration phase differences in the following way: First, calculate the mean of all vibration phase differences, then calculate the fluctuation range of the phase difference relative to the mean (e.g., standard deviation), and then subtract the ratio of the standard deviation to the mean from 1 (where the result must be within the range of 0-1) to obtain the vibration phase difference stability. Other methods can also be used in other embodiments, which are not limited here.

[0045] It should be noted that the above steps can accurately capture the vibration correlation characteristics between the target electromechanical equipment and upstream and downstream equipment, thereby improving the reliability of the basic data for subsequent system coupled vibration analysis.

[0046] In step 104, the system coupled vibration offset is determined based on the vibration characteristic frequency correspondence and the vibration phase difference stability.

[0047] In some embodiments, determining the system coupled vibration offset based on the vibration characteristic frequency correspondence and the vibration phase difference stability can be achieved by the following steps: Determine the weighting coefficients corresponding to the vibration characteristic frequency correspondence and the vibration phase difference stability; Calculate the offset component of the vibration characteristic frequency correspondence and the offset component of the vibration phase difference stability, respectively; The system coupled vibration offset is determined based on the offset components of the vibration characteristic frequency correspondence and the vibration phase difference stability, as well as the corresponding weighting coefficients.

[0048] It should be noted that the system coupling vibration offset in this application is a parameter that characterizes the degree of deviation of the overall coupled vibration from the normal operating state in the transmission system composed of the target electromechanical equipment and upstream and downstream equipment (i.e., upstream drive equipment and downstream load equipment). Its core function is to integrate information on the frequency correlation at the drive end and the phase stability at the load end to form a quantitative index of system-level coupled vibration offset, which provides a core quantitative basis for subsequent correction of the initial vibration threshold, formulation of dynamic early warning standards, and judgment of whether there is coupled vibration anomaly in the entire transmission system.

[0049] In specific implementation, the weighting coefficients corresponding to the vibration characteristic frequency correspondence and the vibration phase difference stability can be determined in the following way: the weighting coefficients can be set according to the type of the target electromechanical equipment (e.g., scraper conveyor, belt conveyor). For example, if the equipment is mainly "frequency resonance fault" (e.g., reducer), the weighting coefficient of the vibration characteristic frequency correspondence is set to 0.6, and the weighting coefficient of the vibration phase difference stability is set to 0.4; if the equipment is mainly "phase offset fault" (e.g., conveyor belt drive system), the weighting coefficients are adjusted to 0.4 and 0.6 respectively; the sum of the weighting coefficients is 1. Alternatively, the weighting coefficients can be calibrated by combining the fault statistics of similar equipment in coal mines. Other methods can also be used in other embodiments, which are not limited here.

[0050] In specific implementation, the offset component of the vibration characteristic frequency correspondence and the offset component of the vibration phase difference stability can be calculated in the following way: the offset component of the vibration characteristic frequency correspondence = (1 - vibration characteristic frequency correspondence) × 100% (for example, if the vibration characteristic frequency correspondence is 0.8, the offset component is 20%); the offset component of the vibration phase difference stability = (1 - vibration phase difference stability) × 100% (for example, if the vibration phase difference stability is 0.7, the offset component is 30%). The calculation results are all rounded to two decimal places to ensure that the accuracy is met when multiplied with the subsequent weighting coefficients. Other methods can also be used in other embodiments, which are not limited here.

[0051] In specific implementation, the system coupling vibration offset can be determined based on the offset components of the vibration characteristic frequency correspondence and the vibration phase difference stability, as well as the corresponding weighting coefficients, in the following way: the system coupling vibration offset is obtained by weighted summation of the offset components of the vibration characteristic frequency correspondence and the vibration phase difference stability based on the corresponding weighting coefficients, for example: 20%×0.6+30%×0.4=24%). The offset value ranges from 0 to 100%, and the larger the value, the more severe the system coupling vibration offset. Other methods can also be used in other embodiments, which are not limited here.

[0052] It should be noted that the above steps can transform vibration correlation characteristics into quantified coupling offset indicators, thereby improving the objectivity and accuracy of judging the coupled vibration state of the system.

[0053] In step 105, the initial vibration threshold of the target electromechanical equipment is obtained, and then the initial vibration threshold is corrected according to the system coupling vibration offset to obtain the dynamic early warning threshold.

[0054] In specific implementation, the initial vibration threshold of the target electromechanical equipment can be obtained in the following way: retrieve the factory vibration limit values ​​(including amplitude limit and characteristic frequency range limit, for example: the amplitude limit of the main drum of the scraper conveyor ≤ 1.5 mm / s, and the vibration limit of the meshing frequency range of the reducer ≤ 2.0 mm / s) of the coal mine equipment under rated operating conditions (such as rated speed and rated load), and then combine the no-load test run data after the installation of the underground equipment (i.e., continuously collect vibration signals for 1-2 hours and take the average amplitude) with the historical vibration data of similar equipment operating stably underground (i.e., the vibration statistics of the past 3 months without failures) to calibrate the factory limit values. If the no-load average amplitude is 20% lower than the factory limit value, the initial vibration threshold can be set to 90% of the factory limit value to avoid misjudgment. The initial vibration threshold (including amplitude threshold and corresponding frequency range threshold) ensures that the threshold is both consistent with the performance of the equipment itself and matches the actual operating environment of the coal mine. Other methods can also be used in other embodiments, which are not limited here.

[0055] In some embodiments, the initial vibration threshold is corrected based on the system coupled vibration offset to obtain a dynamic early warning threshold, which can be achieved by the following steps: The correction coefficient for matching the current system coupled vibration offset is determined based on the correspondence between the system coupled vibration offset and the threshold correction coefficient. The initial vibration threshold is corrected according to the correction coefficient to obtain the dynamic early warning threshold.

[0056] In specific implementation, the correction coefficient for matching the current system coupled vibration offset based on the correspondence between the system coupled vibration offset and the threshold correction coefficient can be determined in the following way: First, a segmented correspondence of "offset-correction coefficient" specifically for coal mine electromechanical equipment can be preset. For example, if the system coupled vibration offset is 0-20%, the correction coefficient is 1.0; if the system coupled vibration offset is 20%-40%, the correction coefficient is 1.2; if the system coupled vibration offset is 40%-60%, the correction coefficient is 1.5; and if the system coupled vibration offset is >60%, the correction coefficient is 1.8. Then, the currently calculated system coupled vibration offset is substituted into the corresponding interval to directly obtain the corresponding correction coefficient. It should be noted that the correspondence in this application can be calibrated in conjunction with underground equipment failure cases. Other methods can also be used in other embodiments, which are not limited here.

[0057] In specific implementation, the initial vibration threshold is corrected according to the correction coefficient to obtain the dynamic warning threshold. This can be achieved in the following way: the dynamic warning threshold can be calculated using the formula: dynamic warning threshold = initial vibration threshold × correction coefficient. For example, if the amplitude threshold in the initial vibration threshold is 1.5 mm / s and the correction coefficient is 1.2, then the dynamic warning threshold corresponding to the amplitude threshold = 1.5 × 1.2 = 1.8 mm / s. Another example is the correction of the corresponding frequency band threshold in the initial vibration threshold, targeting the key frequency bands (such as equipment switching frequency bands, transmission frequency bands, etc.) defined in the initial vibration threshold. The dynamic component meshing frequency band is adjusted using the same correction factor. For example, if the initial rotation frequency band threshold is 2.0 mm / s and the meshing frequency band threshold is 2.5 mm / s, and the correction factor is 1.5, then the dynamic rotation frequency band threshold = 2.0 × 1.5 = 3.0 mm / s and the dynamic meshing frequency band threshold = 2.5 × 1.5 = 3.75 mm / s. After adjustment, it is necessary to ensure that the dynamic warning threshold is not lower than the minimum limit for safe operation of the equipment (e.g., the dynamic threshold of the main drum of the scraper conveyor is not lower than 1.0 mm / s). Other methods can be used in other embodiments, which are not limited here.

[0058] It should be noted that the above steps can make the warning threshold adapt to the real-time coupled vibration state, thereby improving the targeting of coupled anomaly warnings and reducing false and missed judgments.

[0059] In step 106, the effective value of the vibration acceleration of the target electromechanical equipment is compared with the dynamic early warning threshold. If the threshold is continuously exceeded, a coupling anomaly early warning information is generated.

[0060] In some embodiments, comparing the effective value of the vibration acceleration of the target electromechanical equipment with the dynamic early warning threshold, and generating coupling anomaly early warning information if the threshold is continuously exceeded, can be achieved by the following steps: The effective value of the vibration acceleration of the target electromechanical equipment is compared with the dynamic warning threshold. If the effective value of the vibration acceleration of the target electromechanical equipment is greater than the dynamic warning threshold, it is marked as exceeding the limit. Obtain the preset threshold for the number of consecutive times exceeding the limit; If the number of times exceeding the limit within a continuous time period exceeds the threshold for continuous over-limit times, a coupling anomaly warning message will be generated.

[0061] In practice, the effective value of vibration acceleration of the target electromechanical equipment is compared with the amplitude threshold and the corresponding frequency band threshold in the dynamic early warning threshold. If the effective value of vibration acceleration is greater than either of them, it is marked as exceeding the limit (for example: if the effective value of acceleration is greater than the dynamic amplitude threshold, the effective value of acceleration in a key frequency band is greater than the dynamic threshold of that frequency band; if the effective value of acceleration is greater than the dynamic amplitude threshold, the effective value of acceleration in a key frequency band is less than or equal to the dynamic threshold of that frequency band; if the effective value of acceleration is less than or equal to the dynamic amplitude threshold, the effective value of acceleration in a key frequency band is greater than the dynamic threshold of that frequency band, all of these are marked as exceeding the limit, and other cases are marked as normal).

[0062] It should be noted that the coupling anomaly early warning information generated in this application must include: the target equipment name, the effective value of the vibration acceleration exceeding the limit, the dynamic early warning threshold, the frequency range exceeding the limit, and the duration of continuous exceeding the limit; and it should be pushed to the equipment management platform through the coal mine underground industrial Ethernet, while triggering the on-site audible and visual alarm; the threshold for the number of continuous exceeding the limit can be set according to relevant experts combined with historical experience, or it can be obtained by simulation using machine learning. Other methods can also be used in other embodiments, which are not limited here.

[0063] Additionally, it should be noted that in other embodiments, the effective value of the vibration acceleration of the target electromechanical equipment is compared with the dynamic warning threshold. If the effective value of the vibration acceleration of the target electromechanical equipment is less than or equal to the dynamic warning threshold, it is marked as normal; if the number of times the limit is exceeded within a continuous time period is less than or equal to the threshold for the number of times the limit is exceeded continuously, no action is taken.

[0064] In another aspect, in some embodiments, this application provides a real-time monitoring system for operational faults of coal mine electromechanical equipment, with reference to... Figure 4 The figure is a schematic diagram of a real-time monitoring system for operational faults of coal mine electromechanical equipment according to some embodiments of this application. The real-time monitoring system includes: a data acquisition module 401, a processing module 402, and an execution module 403, which are described below: The acquisition module 401 in this application is mainly used to acquire the operating data of the target electromechanical equipment. The operating data includes: effective value of vibration acceleration, vibration spectrum and key phase information. Processing module 402, in this application, is mainly used to determine the upstream driving device and the downstream load device of the target electromechanical equipment, and to obtain the vibration spectrum of the upstream driving device and the key phase information of the downstream load device; The processing module 402 described in this application is further configured to determine the correspondence between the vibration characteristic frequencies of the target electromechanical equipment and the upstream driving equipment based on the vibration spectrum of the target electromechanical equipment and the upstream driving equipment, and to determine the stability of the vibration phase difference between the target electromechanical equipment and the downstream load equipment through the key phase information of the target electromechanical equipment and the downstream load equipment; The processing module 402 described in this application is also used to determine the system coupled vibration offset based on the vibration characteristic frequency correspondence and the vibration phase difference stability. The processing module 402 described in this application is also used to obtain the initial vibration threshold of the target electromechanical equipment, and then correct the initial vibration threshold according to the system coupled vibration offset to obtain a dynamic early warning threshold; The execution module 403 in this application is mainly used to compare the effective value of the vibration acceleration of the target electromechanical equipment with the dynamic early warning threshold. If the threshold is continuously exceeded, coupling abnormality early warning information is generated.

[0065] The modules in the aforementioned real-time monitoring system for operational faults of coal mine electromechanical equipment can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in the processor of a computer device in hardware form or independent of it, or stored in the memory of the computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0066] In another embodiment, this application provides a computer device, which may be a server, and its internal structure diagram may be as follows. Figure 5 As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores real-time monitoring data of operational faults in coal mine electromechanical equipment. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for real-time monitoring of operational faults in coal mine electromechanical equipment.

[0067] Those skilled in the art will understand that Figure 5 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0068] In one embodiment, a computer device is also provided, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described embodiment of the real-time monitoring method for operational faults of coal mine electromechanical equipment.

[0069] In one embodiment, a computer-readable storage medium is provided storing a computer program that, when executed by a processor, implements the steps in the above-described method for real-time monitoring of operational faults in coal mine electromechanical equipment.

[0070] In one embodiment, a computer program product or computer program is provided, comprising computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the steps described in the embodiment of the real-time monitoring method for operational faults of coal mine electromechanical equipment.

[0071] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0072] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0073] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for real-time monitoring of operational faults in coal mine electromechanical equipment, characterized in that, Includes the following steps: Collect operational data of the target electromechanical equipment, including: effective value of vibration acceleration, vibration spectrum and key phase information; Identify the upstream drive device and downstream load device of the target electromechanical equipment, and obtain the vibration spectrum of the upstream drive device and the key phase information of the downstream load device; The vibration characteristic frequency correspondence between the target electromechanical equipment and the upstream driving equipment is determined based on the vibration spectrum of the target electromechanical equipment and the upstream driving equipment. The vibration phase difference stability between the target electromechanical equipment and the downstream load equipment is determined through the key phase information of the target electromechanical equipment and the downstream load equipment. The system coupled vibration offset is determined based on the correspondingity of the vibration characteristic frequencies and the stability of the vibration phase difference. The initial vibration threshold of the target electromechanical equipment is obtained, and then the initial vibration threshold is corrected according to the system coupling vibration offset to obtain the dynamic early warning threshold; The effective value of the vibration acceleration of the target electromechanical equipment is compared with the dynamic early warning threshold. If the value continues to exceed the limit, a coupling anomaly early warning information is generated.

2. The method as described in claim 1, characterized in that, The upstream drive equipment and downstream load equipment of the target electromechanical equipment are specifically identified as follows: Obtain the design data and equipment parameters of the underground transmission system of the target electromechanical equipment in the coal mine. The design data includes transmission path engineering diagrams and component connection lists. The equipment parameters include equipment model and transmission ratio. Based on the design data, upstream candidate equipment that provides power to the target electromechanical equipment and downstream candidate equipment that receives the power output from the target electromechanical equipment are extracted; The transmission correlation between the upstream and downstream candidate devices and the target electromechanical equipment is verified by combining the real-time operating data of the target electromechanical equipment; Based on the transmission correlation, the upstream drive device and downstream load device of the target electromechanical equipment are selected from the upstream candidate devices and the downstream candidate devices.

3. The method as described in claim 1, characterized in that, Determining the correspondence between the vibration characteristic frequencies of the target electromechanical equipment and the upstream driving equipment based on their vibration spectra specifically includes: Extract the core characteristic frequencies of the target electromechanical equipment from its vibration spectrum; Extract the core characteristic frequency of the upstream drive device from its vibration spectrum; The extracted core feature frequencies are filtered out, and frequency points with amplitudes lower than a preset amplitude threshold are removed to obtain the effective feature frequencies of the target electromechanical equipment and the effective feature frequencies of the upstream driving equipment. The effective characteristic frequency of the target electromechanical equipment is subtracted from the effective characteristic frequency of the upstream driving equipment to obtain the effective frequency difference value. If the effective frequency difference value is less than or equal to a preset frequency difference value range, it is determined to be a match. Traverse all effective characteristic frequencies of the target electromechanical equipment and the upstream driving equipment, calculate the ratio of the number of matches to the total number of effective characteristic frequencies of the target electromechanical equipment, obtain the frequency matching ratio, and determine the average amplitude similarity based on the amplitude similarity between each pair of matched effective characteristic frequencies. Multiplying the frequency matching ratio by the average amplitude similarity yields the frequency correspondence between the target electromechanical equipment and the upstream driving equipment.

4. The method as described in claim 1, characterized in that, Determining the vibration phase difference stability between the target electromechanical equipment and the downstream load equipment using key phase information of the target electromechanical equipment and the downstream load equipment specifically includes: Extract the target phase angle at different timestamps from the key phase information of the target electromechanical equipment; The load phase angle under the corresponding timestamp is extracted from the key phase information of the downstream load device, wherein the corresponding timestamp corresponds to a different timestamp in the key phase information of the target electromechanical equipment; The difference between the target phase angle and the load phase angle at different timestamps is calculated to obtain the vibration phase difference at different timestamps; The stability of the vibration phase difference between the target electromechanical equipment and the downstream load equipment is determined based on all vibration phase differences.

5. The method as described in claim 1, characterized in that, Determining the system coupled vibration offset based on the corresponding vibration characteristic frequencies and the stability of the vibration phase difference specifically includes: Determine the weighting coefficients corresponding to the vibration characteristic frequency correspondence and the vibration phase difference stability; Calculate the offset component of the vibration characteristic frequency correspondence and the offset component of the vibration phase difference stability, respectively; The system coupled vibration offset is determined based on the offset components of the vibration characteristic frequency correspondence and the vibration phase difference stability, as well as the corresponding weighting coefficients.

6. The method as described in claim 1, characterized in that, The initial vibration threshold is corrected based on the system coupled vibration offset to obtain the dynamic early warning threshold, which specifically includes: The correction coefficient for matching the current system coupled vibration offset is determined based on the correspondence between the system coupled vibration offset and the threshold correction coefficient. The initial vibration threshold is corrected according to the correction coefficient to obtain the dynamic early warning threshold.

7. The method as described in claim 1, characterized in that, The effective value of the vibration acceleration of the target electromechanical equipment is compared with the dynamic early warning threshold. If the threshold is continuously exceeded, coupling anomaly early warning information is generated, specifically including: The effective value of the vibration acceleration of the target electromechanical equipment is compared with the dynamic warning threshold. If the effective value of the vibration acceleration of the target electromechanical equipment is greater than the dynamic warning threshold, it is marked as exceeding the limit. Obtain the preset threshold for the number of consecutive times exceeding the limit; If the number of times the limit is exceeded within a continuous period of time is greater than the threshold for the number of times the limit is continuously exceeded, a coupling anomaly warning message will be generated.

8. A real-time monitoring system for operational faults of coal mine electromechanical equipment, characterized in that, include: The acquisition module is used to acquire the operating data of the target electromechanical equipment, including: effective value of vibration acceleration, vibration spectrum and key phase information; The processing module is used to determine the upstream driving device and the downstream load device of the target electromechanical equipment, and to acquire the vibration spectrum of the upstream driving device and the key phase information of the downstream load device; The processing module is further configured to determine the correspondence between the vibration characteristic frequencies of the target electromechanical equipment and the upstream driving equipment based on the vibration spectrum of the target electromechanical equipment and the upstream driving equipment, and to determine the stability of the vibration phase difference between the target electromechanical equipment and the downstream load equipment through the key phase information of the target electromechanical equipment and the downstream load equipment; The processing module is also used to determine the system coupled vibration offset based on the vibration characteristic frequency correspondence and the vibration phase difference stability. The processing module is also used to obtain the initial vibration threshold of the target electromechanical equipment, and then correct the initial vibration threshold according to the system coupling vibration offset to obtain the dynamic early warning threshold. The execution module is used to compare the effective value of the vibration acceleration of the target electromechanical equipment with the dynamic early warning threshold. If the threshold is continuously exceeded, a coupling anomaly early warning information is generated.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the real-time monitoring method for operational faults of coal mine electromechanical equipment as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the real-time monitoring method for operational faults of coal mine electromechanical equipment as described in any one of claims 1 to 7.

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