Monitoring method and system for mining sensor to collect multiple signals and storage medium

Abstract

The invention relates to the technical field of mine automation control, and discloses a monitoring method and system for a mining sensor to collect multiple signals and a storage medium, and the method comprises the steps: obtaining an analog signal of a first sensor, carrying out the spectral analysis, calculating a preset frequency band energy added value, and judging a first interference signal; acquiring a digital signal of a second sensor on the same circuit board, matching a normal data setting range according to the signal, identifying an abnormal data setting, and judging a second interference signal; and acquiring the occurrence time of the two types of interference signals, and warning if the time interval is less than a preset reference duration. Collection delay can be dynamically adjusted, sampling resistors are switched to adapt to signal types, a control frequency band is adjusted according to control frequency, interference distance screening sensors are calculated based on positions, a data range is adjusted according to precision differences, and reference duration is adjusted according to equipment power. And through multi-signal cooperative detection and a multi-dimensional adaptive mechanism, the anti-interference capability of data acquisition in a complex mine environment is improved.

Description

Technical Field

[0001] This application relates to the technical field of mine automation control, and in particular to a monitoring method, system and storage medium for a mine sensor to collect multiple signals. Background Art

[0002] In modern coal mining operations, various sensors are widely installed on coal mining equipment to collect key data such as the operating status of the equipment and the working environment in real time. With the improvement of the intelligent level of coal mine equipment and the continuous increase of customer requirements, the number of sensors installed on the equipment is also increasing. There are various types of output signals of sensors, including voltage signals, current signals, frequency signals, resistance signals, etc. By analyzing and processing these data, operators can timely understand the operating conditions of coal mining equipment and the safety of the underground environment, so as to achieve precise control and scientific management of coal mining operations, and improve coal mining efficiency and safety. Electrical equipment such as motors and frequency converters in coal mining equipment will inevitably generate electromagnetic noise and interference during operation. Taking the motor as an example, when it starts and stops, the current will change sharply, and this change will excite electromagnetic pulses in the surrounding space, forming a strong electromagnetic interference source. When the frequency converter is working, due to the high-frequency switching action of its internal power electronic devices, rich high-frequency harmonics will be generated. These electromagnetic noises and interferences are transmitted in the forms of electromagnetic radiation, conduction, etc., and will have an adverse impact on the surrounding electronic devices. In the complex working environment of coal mining equipment, the existence of these interference sources is becoming increasingly prominent. The electromagnetic noise and interference generated by the above electrical equipment are extremely likely to have a serious impact on the data collection and transmission of sensors on coal mining equipment. When the sensor is affected by electromagnetic interference, the collected data may be deviated, distorted or even incorrect. At present, most sensor acquisition devices can only acquire sensors of a single signal type and cannot be configured to acquire sensors of different signal types. Therefore, when the data is interfered and incorrect, there is a possibility that it cannot be recognized. Summary of the Invention

[0003] In order to give a warning prompt for the state where the data is interfered, this application provides a monitoring method, system and storage medium for a mine sensor to collect multiple signals.

[0004] In a first aspect, this application provides a monitoring method for a mine sensor to collect multiple signals, adopting the following technical scheme: A monitoring method for a mine sensor to collect multiple signals includes the following steps: Based on a first sensor that generates an analog signal by collection, obtain a first collected signal; Perform spectrum analysis on the first collected signal to extract a first frequency signal; Calculate the energy increase value of a preset frequency band from the first frequency signal. If the energy increase value is greater than a preset reference energy value and the corresponding frequency band is within a preset control frequency band range, the corresponding frequency band and energy are the first interference signal; Based on a second sensor that generates a digital signal through acquisition, obtain a second acquisition signal; wherein, the first sensor and the second sensor are located on the same circuit board; Match the normal data setting range according to the data format of the second acquisition signal, and identify the abnormal data setting outside the normal data setting range based on the current second acquisition signal; If the setting distance between the abnormal data setting and the normal data setting range is greater than a preset reference distance value, the abnormal data setting is indicated as generating a second interference signal; Obtain the first occurrence time of the first interference signal and the second occurrence time of the second interference signal; If the time interval between the first occurrence time and the second occurrence time is less than a preset reference duration, perform interference warning.

[0005] By adopting the above technical solution, through the independent detection and correlation analysis of analog and digital signals, accurate interference identification of multi-signal collaboration is realized, avoiding misjudgment of a single signal, effectively improving the accuracy and reliability of data acquisition in the complex electromagnetic environment of the mine, and providing a strong guarantee for the operation status monitoring and safety control of coal mining equipment.

[0006] Optionally, the following steps are further included: Obtain a power control instruction; After executing the power control instruction, delay for a preset first duration and collect the first acquisition signal; Adjust the first duration in positive correlation with the energy of the first interference signal. The higher the energy of the first interference signal, the longer the first duration; the lower the energy of the first interference signal, the shorter the first duration; After executing the power control instruction, delay for a preset second duration and collect the second acquisition signal; Adjust the second duration in inverse correlation with the setting distance, where the first duration is greater than the second duration.

[0007] By adopting the above technical solution, the dynamically adaptive delay acquisition mechanism can effectively reduce the influence of electromagnetic interference generated by the operation of power equipment on sensor data acquisition, and improve the anti-interference ability and data accuracy of signal acquisition.

[0008] Optionally, in the step of obtaining the first acquisition signal, the following sub-steps are further included: If the first acquisition signal is a voltage signal, connect a sampling resistor in series to the acquisition branch; If the first acquisition signal is a current signal, the sampling resistor is cut out of the acquisition branch.

[0009] By adopting the above technical solution, based on the differential processing strategy of signal characteristics, the compatibility problem of the mine sensor outputting multiple analog signals (voltage, current) is effectively solved, the measurement error and interference risk caused by improper signal conversion are reduced, the acquisition system can be flexibly adapted to different types of signals, and the versatility, reliability and anti-interference ability of data acquisition are improved.

[0010] Optionally, the method further includes the following steps: Extract the control frequency from the power control instruction; Move the control frequency band range positively correlated with the control frequency, and amplify the control frequency band range positively correlated, wherein the increment of the amplification of the control frequency band range is less than the increment of the movement of the control frequency band range; the greater the control frequency, the greater the central value of the control frequency band range, and the greater the width of the control frequency band range; the smaller the control frequency, the smaller the central value of the control frequency band range, and the narrower the width of the control frequency band range.

[0011] By adopting the above technical solution, the dynamic adjustment mechanism enables the interference detection frequency band to closely follow the change of the equipment operation state, effectively captures the electromagnetic interference characteristics under different working conditions, avoids the problems of missed detection or misjudgment of interference caused by fixed frequency bands, and significantly improves the accuracy of interference recognition.

[0012] Optionally, the method further includes the following steps: Extract the mine sensors corresponding to the control from the power control instruction, and there are multiple controlled mine sensors; Identify the sensing position from the preset database according to the mine sensor; Calculate the interference distance according to the sensing position and the control position, wherein the control position is the position of the controlled device corresponding to the power control instruction; Select the mine sensor with the smallest interference distance to calculate the time interval.

[0013] By adopting the above technical solution, since the positions of different sensors are different, the interference situations are also different, and analysis is required according to the positions. Selecting the sensor with the smallest interference distance for analysis can accurately locate the most severely interfered sensor, avoid invalid calculations and misjudgments caused by weak signal interference of long-distance sensors, and effectively improve the pertinence and efficiency of interference detection.

[0014] Optionally, the method further includes the following steps: Extract the mine sensors corresponding to the control from the power control instruction, and there are multiple controlled mine sensors; Identify the sensing location from a preset database according to the mine sensor; Calculate the interference distance based on the sensing location and the control location, where the control location is the location of the device controlled by the power control instruction; Select the mine sensor with the interference distance less than the preset corresponding distance; Calculate multiple of the time intervals and take the average value as the latest time interval.

[0015] By adopting the above technical solution, through the average processing of the time interval data of multiple sensors, the detection error caused by environmental fluctuations of a single sensor is effectively smoothed, the data randomness is reduced, and the accuracy and stability of the interference signal time interval calculation are improved.

[0016] Optionally, the method further includes the following sub-steps: Extract the first accuracy value of the first acquisition signal and the second accuracy value of the second acquisition signal; Denormalize the first accuracy value and the second accuracy value; Calculate the absolute value of the difference between the first accuracy value and the second accuracy value; Regulate the normal data setting range positively according to the absolute value; the larger the absolute value, the wider the normal data setting range, or the larger the central value of the normal data setting range; the smaller the absolute value, the narrower the normal data setting range, or the smaller the central value of the normal data setting range.

[0017] By adopting the above technical solution, by quantifying the accuracy difference and positively adjusting the normal data setting range, when the accuracy difference is large, the range is automatically widened or the central value is increased to accommodate the inherent fluctuations caused by different signal types due to accuracy differences, and false alarms caused by accuracy mismatches are reduced; when the accuracies are similar, the range is tightened to enhance the sensitivity to real anomalies.

[0018] Optionally, the method further includes the following sub-steps: Obtain the total power of the electrical equipment involved in the execution action corresponding to the power control instruction; Regulate the reference duration inversely according to the total power, the larger the total power, the shorter the reference duration, and the smaller the total power, the longer the reference duration.

[0019] By adopting the above technical solution, an inverse correlation adjustment mechanism is set up, enabling the system to adaptively adjust the interference detection strategy according to the power characteristics of the equipment, avoiding both the problem of lagging interference response for high-power equipment and the over-sensitivity to interference for low-power equipment, and optimizing the timeliness and accuracy of interference warnings.

[0020] In a second aspect, the present application provides a monitoring system for a mine sensor to collect multiple signals, adopting the following technical solution: A monitoring system for a mine sensor to collect multiple signals includes a processor, and the processor executes the steps of the monitoring method for a mine sensor to collect multiple signals as described in any one of the above.

[0021] In a third aspect, the present application provides a storage medium, adopting the following technical solution: A storage medium stores a program, and when the program is executed by a processor, it implements the steps of the monitoring method for a mine sensor to collect multiple signals as described in any one of the above.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: By simultaneously analyzing the interference characteristics of analog signals (the first sensor) and digital signals (the second sensor), and combining time-series correlation analysis, accurate identification of interference sources across signal types is achieved, significantly reducing the misjudgment rate of single-signal detection and improving the reliability of data collection in complex electromagnetic environments.

[0023] Dynamically adjust the acquisition delay (the first duration, the second duration) according to the interference intensity (the energy of the first interference signal, the setting distance of abnormal data), effectively avoiding strong interference during the start and stop of power equipment, optimizing the signal acquisition timing, and improving data accuracy.

[0024] Automatically switch the sampling resistor configuration through an electronic switch to achieve seamless compatible acquisition of voltage / current signals, solve the limitation of the traditional system that requires manual adjustment of hardware, and improve the versatility and flexibility of the system. Description of the Drawings

[0025] Figure 1 It is a step diagram of a monitoring method for a mine sensor to collect multiple signals.

[0026] Figure 2 It is a schematic block diagram of a mine sensor acquisition device.

[0027] Figure 3 It is a frequency sampling circuit diagram.

[0028] Figure 4 It is a circuit diagram of voltage sampling and current sampling. Detailed Embodiments

[0029] The following details the embodiments of the present application, and the examples of the embodiments are shown in the drawings.

[0030] In the description of this specification, the descriptions referring to terms such as "certain embodiments", "one embodiment", "some embodiments", "schematic embodiments", "examples", "specific examples", or "some examples" mean that the specific features, structures, materials, or characteristics described in connection with the embodiments or examples are included in at least one embodiment or example of this application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0031] An embodiment of this application discloses a monitoring method for a mining sensor to collect multiple signals. Based on a mining sensor acquisition device, with reference to Figure 1 and Figure 2 , the method includes the following steps: Based on a first sensor that generates an analog signal during acquisition, obtain a first acquisition signal. If the first acquisition signal is a voltage signal, then connect a sampling resistor in series to the acquisition branch. If the first acquisition signal is a current signal, then disconnect the sampling resistor from the acquisition branch.

[0032] Perform spectral analysis on the first acquisition signal to extract a first frequency signal, perform Fourier transform on the analog signal, convert the time-domain signal into a frequency-domain energy distribution, and identify the frequency components of the interference signal.

[0033] Calculate the energy increase value of a preset frequency band from the first frequency signal. If the energy increase value is greater than a preset reference energy value, and the corresponding frequency band is within the preset control frequency band range, then the corresponding frequency band and energy are the first interference signal. Energy increase value = total energy within the current preset frequency band - reference energy value of this frequency band, and the reference energy value of this frequency band is obtained through statistical analysis of historical data during normal operation of the device.

[0034] Based on a second sensor that generates a digital signal during acquisition, obtain a second acquisition signal; wherein, the first sensor and the second sensor are located on the same circuit board.

[0035] Match the normal data setting range according to the data format of the second acquisition signal, and identify the abnormal data setting outside the normal data setting range based on the current second acquisition signal. Since the data monitoring of the sensor has a certain accuracy, for example, the accuracy of the temperature sensor is 1 degree Celsius. For an eight-bit binary number 10100000, the first four bits represent the normal data setting range, which represents the digits that can be recognized by the accuracy; the normal data setting range is the numerical value in binary representing the digits within the accuracy-recognizable range. The abnormal data setting outside the normal data setting range represents the digits below the accuracy, for example, the last four bits of the eight-bit binary number 10100000; no matter how it is monitored, generally the last four bits will not change; however, if there is interference and an abnormal setting occurs, the interference can be judged, so the presence of interference can be monitored through the changes of these digits.

[0036] If the setting distance between the abnormal data setting and the normal data setting range is greater than the preset reference distance value, the abnormal data setting indicates the generation of a second interference signal. For example, if the lower four bits are 0010, the setting distance is 2; if the lower four bits are 1100, the setting distance is 12.

[0037] Obtain the first occurrence time of the first interference signal and the second occurrence time of the second interference signal.

[0038] If the time interval between the first occurrence time and the second occurrence time is less than the preset reference duration, a interference warning is issued. If the occurrence times of the two anomalies are close, it means that it is very likely caused by the same interference source. Therefore, a warning is needed.

[0039] Through the independent detection and correlation analysis of analog and digital signals, accurate interference recognition of multi-signal collaboration is achieved, avoiding misjudgment of single signals, effectively improving the accuracy and reliability of data acquisition in the complex electromagnetic environment of mines, and providing a strong guarantee for the operation status monitoring and safety control of coal mining equipment. Among them, this system supports flexible configuration of software to collect multiple signals, including 0-5V or 4-20mA analog signals, frequency signals, switch signals, and PT100 type temperature signals. At the same time, it is equipped with CAN and 485 communication interfaces, and can realize the data acquisition of sensors with CAN or 485 communication protocols, meeting the unified access and data acquisition requirements of multiple types of sensors in complex scenarios such as mines.

[0040] It also includes the following steps: Obtain the power control instruction, and the power control instruction is to control the motor start or switch cabinet. After executing the power control instruction (such as motor start or switch cabinet operation), different preset durations (the first duration, the second duration) are set to collect the first sensor (analog signal) and the second sensor (digital signal) respectively.

[0041] After executing the power control instruction, delay for a preset first duration, such as 200 ms, and collect the first acquisition signal.

[0042] Adjust the first duration positively correlated with the energy of the first interference signal. The higher the energy of the first interference signal, the longer the first duration; the lower the energy of the first interference signal, the shorter the first duration. Adjust the first duration positively correlated with the energy magnitude of the first interference signal, so that when the interference energy is greater, the delay acquisition time is longer, thus avoiding the strong electromagnetic interference generated at the moment of power equipment startup. After executing the power control instruction, delay for a preset second duration, such as 50 ms, and collect the second acquisition signal.

[0043] Adjust the second duration inversely correlated with the setting distance. The larger the setting distance, the shorter the second duration; the smaller the setting distance, the longer the second duration; where the first duration is greater than the second duration. Adjust the second duration inversely correlated with the distance between the abnormal data setting and the normal data setting range, that is, when the setting distance is larger and the interference degree is higher, the second duration is correspondingly shortened, avoiding continuous exposure to a strong interference environment, and at the same time setting the first duration greater than the second duration, which fits the different interference characteristics and response requirements of analog signals and digital signals.

[0044] In this embodiment, referring to Figure 3 , the frequency sampling circuit can collect frequency signals such as square waves, or can also collect high and low level signals of digital input. When the program is configured to collect frequency signals, the single-chip microcomputer collects the pulse width of the frequency signal, thereby calculating the magnitude of the frequency. When configured to detect high and low levels, the single-chip microcomputer judges the presence or absence of the signal according to the high and low levels of the pin.

[0045] Among them, referring to Figure 4 , if the first acquisition signal is a voltage signal, then connect the sampling resistor R80 in series to the acquisition branch. For voltage signals, connect the sampling resistor in series to the acquisition branch, and use the principle of resistor voltage division to convert the voltage signal into a voltage range suitable for the acquisition module to process, ensuring the accuracy and stability of signal acquisition.

[0046] If the first acquisition signal is a current signal, then cut out the sampling resistor from the acquisition branch. When facing current signals, cut out the sampling resistor from the acquisition branch to avoid the shunting or voltage drop effect of the resistor on the current signal, ensuring the integrity and accuracy of the current signal.

[0047] The control switch between voltage acquisition and current acquisition is realized by controlling whether the 240R sampling resistor is connected or not through an electronic switch, so as to realize the switching of voltage sampling and current sampling signals. When configured for voltage signal acquisition, disconnect the 240R sampling resistor, and when configured for current signal sampling, connect the 240R sampling resistor, thus realizing the flexible configuration of 0 - 5V voltage signals and 4 - 20mA current signals. Such as Figure 4As shown, by controlling the 4th pin of chip U27, it is possible to select the voltage signal acquisition and the current signal acquisition.

[0048] The method further includes the following steps: Extract the control frequency from the power control instruction; such as the control frequency of the variable-frequency motor.

[0049] Move the control frequency band range positively correlated with the control frequency, and amplify the control frequency band range positively correlated, where the amplification step size is smaller than the movement step size; the larger the control frequency, the larger the central value of the control frequency band range, and the wider the width of the control frequency band range; the smaller the control frequency, the smaller the central value of the control frequency band range, and the narrower the width of the control frequency band range. For example, in the low-speed operation stage of the motor, the control frequency is 20Hz. After the system extracts this frequency from the power control instruction, the control frequency band range is set to an interval with a central value of 50Hz and a width of 30Hz (i.e., 20Hz - 80Hz). This frequency band can effectively cover the low-frequency electromagnetic interference generated by the motor during low-speed operation. When the motor speeds up to 50Hz for operation, after the system extracts the control frequency, the central value of the control frequency band range is positively correlated to be adjusted to 125Hz, and the width is amplified to 50Hz (i.e., 100Hz - 150Hz), so as to fit the characteristics that the interference frequency band migrates to the high frequency and the energy distribution becomes wider under the high-frequency operation condition. If the motor decelerates to 10Hz, the central value of the control frequency band range is correspondingly reduced to 25Hz, and the width is contracted to 20Hz (i.e., 15Hz - 35Hz), accurately locking the low-frequency interference area.

[0050] By extracting the control frequency of the variable-frequency motor from the power control instruction and dynamically adjusting the control frequency band range accordingly, the deep adaptation of the interference detection frequency band to the equipment working condition is achieved. When the control frequency increases, the electromagnetic interference frequency band generated by the equipment operation moves to the high frequency and the energy distribution range becomes wider. At this time, the control frequency band range moves synchronously in the positive direction and is moderately amplified, and the amplification step size is smaller than the movement step size, which can not only cover the interference frequency migration range but also avoid misjudgment caused by excessive frequency band expansion; conversely, when the control frequency decreases, the central value and width of the control frequency band range contract correspondingly, accurately focusing on the low-frequency interference area.

[0051] Since the positions of different sensors are different, the interference situations are also different, and it is necessary to analyze according to the position. The method further includes the following steps: Method 1: Extract the mine sensors corresponding to the control from the power control instruction, and there are multiple controlled mine sensors.

[0052] Identify the sensing position from the preset database according to the mine sensor; Calculate the interference distance according to the sensing position and the control position, where the control position is the position of the controlled device corresponding to the power control instruction.

[0053] Select the mine sensor with the minimum interference distance and calculate the time interval.

[0054] Selecting the sensor with the minimum interference distance for analysis can accurately locate the most severely interfered sensor, avoiding invalid calculations and misjudgments caused by weak interference signals from sensors at long distances, and effectively improving the pertinence and efficiency of interference detection.

[0055] For example, in a coal mine underground, the power control instruction is to start a high-power fan located at roadway A. When this fan operates, it will generate electromagnetic interference. There are three mine sensors nearby, namely the gas concentration sensor S1 at the entrance of roadway A, the temperature sensor S2 50 meters away from the fan, and the humidity sensor S3 located in roadway B (100 meters away from the fan). The system extracts the controlled sensors S1, S2, and S3 from the power control instruction. After identifying the positions of each sensor through a preset database, it is calculated that the interference distance between S1 and the fan is 10 meters, S2 is 50 meters, and S3 is 100 meters. Obviously, the interference distance of S1 is the smallest. The system then selects the data of S1 to calculate the time interval between the interference signal it detects and other relevant signals to judge the interference situation. Since S1 is the closest to the fan and is directly and strongly interfered, analyzing based on its data can more accurately locate the interference, avoiding interference from data of sensors like S2 and S3 with long distances and weak interference, and efficiently determining the key time information of the interference occurrence.

[0056] Method 2: Extract the corresponding controlled mine sensors from the power control instruction. There are multiple controlled mine sensors.

[0057] Identify the sensing positions from the preset database according to the mine sensors; Calculate the interference distance based on the sensing position and the control position, where the control position is the position of the equipment controlled by the power control instruction.

[0058] Select the mine sensors with interference distances less than the corresponding preset distances; Calculate multiple time intervals and take the average value, and use the average value as the latest time interval.

[0059] Through the averaging process of multi-sensor time interval data, the detection errors caused by environmental fluctuations of individual sensors are effectively smoothed, the data randomness is reduced, and the accuracy and stability of the interference signal time interval calculation are improved.

[0060] Similarly, for example, in the underground coal mine, the power control instruction becomes to start the coal shearer located in mining area C. There are four mine sensors arranged in the mining area, namely, a vibration sensor M1 at a distance of 20 meters from the coal shearer, a current sensor M2 at 30 meters, a pressure sensor M3 at 40 meters, and a displacement sensor M4 at 60 meters. The system presets the corresponding distance to be 50 meters. After extracting the controlled sensors as M1, M2, M3, and M4 and calculating the interference distance, it is found that the interference distances of M1 (20 meters), M2 (30 meters), and M3 (40 meters) are less than 50 meters, while the interference distance of M4 is greater than 50 meters. Then the system selects these three sensors, M1, M2, and M3, calculates the time intervals between the interference signals they detect and other signals respectively, obtaining three time interval data: T1, T2, and T3, and then takes the average value (T = (T1 + T2 + T3) / 3), and takes this average value T as the latest time interval. Since a single sensor may produce accidental errors due to the complex underground environment (such as occasional mechanical vibrations and instantaneous interference from other equipment), by averaging the time interval data of multiple sensors that meet the conditions, this kind of error can be effectively eliminated, making the finally obtained time interval more able to truly reflect the actual situation of the interference signal, providing stable and accurate data support for subsequent interference analysis and processing.

[0061] The method further includes the following sub-steps: Extract the first accuracy value of the first acquisition signal and the second accuracy value of the second acquisition signal. For example, the first sensor (analog): a 4 - 20 mA gas concentration sensor, with an accuracy of ±0.1% FS (the full scale of 20 mA corresponds to 2% gas concentration, that is, an accuracy of ±0.002% for gas); the second sensor (digital): an SPI interface digital temperature sensor, with an 8 - bit resolution (accuracy of ±1°C).

[0062] De - dimensionalize the first accuracy value and the second accuracy value using a normalization coefficient; the first accuracy value: 0.002% (gas concentration accuracy); the second accuracy value: 1°C (temperature accuracy). The normalized first accuracy value = 0.002% × 100 = 0.2; the normalized second accuracy value = 1°C × 0.1 = 0.1.

[0063] Calculate the absolute value of the difference between the first accuracy value and the second accuracy value. In the above case, the absolute value Δ is 0.1.

[0064] Adjust the normal data setting range according to the positive correlation of the absolute value; the larger the absolute value, the wider the normal data setting range, or the larger the central value of the normal data setting range; the smaller the absolute value, the narrower the normal data setting range, or the smaller the central value of the normal data setting range.

[0065] Assume the initial normal data setting range is [μ - 2σ, μ + 2σ], the reference accuracy difference is 0.05, and the adjustment coefficient is 0.2: Adjustment factor = 1 + (Δ / 0.05) × 0.2 = 1.4; The adjusted range becomes: [μ - 2σ × 1.4, μ + 2σ × 1.4] = [μ - 2.8σ, μ + 2.8σ].

[0066] Due to the differences in the precision systems of analog and digital signals (such as the voltage / current precision of analog quantities and the bit precision of digital quantities), these differences may lead to misjudgments in data fusion and interference determination. By quantifying the precision differences and adjusting the normal data setting range in a positive correlation, when the precision difference is large, the range is automatically widened or the central value is increased to accommodate the inherent fluctuations caused by precision differences of different signal types, reducing false alarms caused by precision mismatches; when the precisions are similar, the range is tightened to enhance the sensitivity to real anomalies.

[0067] The method also includes the following sub-steps: Obtain the total power of the electrical equipment involved in the execution actions corresponding to the power control instruction. The power control instruction triggers the start of the shearer, and the total power of the equipment P = 1000kW. High-intensity electromagnetic interference is generated during startup, but it decays rapidly (the typical decay time is about 500ms).

[0068] Adjust the reference duration in an inverse correlation according to the total power. The greater the total power, the shorter the reference duration; the smaller the total power, the longer the reference duration. Assume the reference duration T0 = 1000ms and the adjustment coefficient k = 500; T = T0 / (1 + P / k), approximately equal to 333ms. The system starts intensive sampling 333ms after the instruction is executed, quickly capturing the interference peak (such as the first acquisition signal fluctuating ±15%). Due to the shortening of the reference duration, the interference energy calculation focuses more on the strong interference at the startup moment, triggering an early warning in a timely manner. The interference detection response time is shortened from 1000ms to 333ms, discovering potential risks 667ms in advance.

[0069] In a mine environment, the electromagnetic interference generated when high-power electrical equipment (such as motors, frequency converters) starts is strong but has a short duration, while the interference from low-power equipment is weak but may have a longer interference decay period. Based on this characteristic, when the total power is large, the system automatically shortens the reference duration to improve the sensitivity of interference detection, ensuring that strong interference signals can be quickly captured and an early warning can be issued in a timely manner; when the total power is small, the reference duration is extended to avoid missed detections due to weak or slowly decaying interference signals. An inverse correlation adjustment mechanism is set up so that the system can adaptively adjust the interference detection strategy according to the power characteristics of the equipment, avoiding both the problem of delayed response to the interference of high-power equipment and the over-sensitivity to the interference of low-power equipment, and optimizing the timeliness and accuracy of interference warnings.

[0070] The embodiment of the present application also discloses a monitoring system for a mining sensor to collect multiple signals, including a processor, and the processor executes the steps of the monitoring method for a mining sensor to collect multiple signals as described in any one of the above.

[0071] The embodiment of the present application also discloses a storage medium, in which a program is stored, and when the program is executed by a processor, the steps of the monitoring method for a mining sensor to collect multiple signals as described in any one of the above are implemented.

[0072] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A monitoring method for a mine sensor to collect multiple signals, characterized in that, It includes the following steps: Based on the first sensor that generates analog signals by acquisition, obtain the first acquisition signal; Perform spectrum analysis on the first acquisition signal to extract the first frequency signal; Calculate the energy increase value of the preset frequency band from the first frequency signal. If the energy increase value is greater than the preset reference energy value and the corresponding frequency band is within the preset control frequency band range, then the corresponding frequency band and energy are the first interference signal; Based on the second sensor that generates digital signals by acquisition, obtain the second acquisition signal; wherein, the first sensor and the second sensor are located on the same circuit board; Match the normal data setting range according to the data format of the second acquisition signal, and identify the abnormal data setting outside the normal data setting range according to the current second acquisition signal; If the setting distance between the abnormal data setting and the normal data setting range is greater than the preset reference distance value, then the abnormal data setting represents the generation of the second interference signal; Obtain the first occurrence time of the first interference signal and the second occurrence time of the second interference signal; If the time interval between the first occurrence time and the second occurrence time is less than the preset reference duration, then perform interference warning.

2. The monitoring method for collecting multiple signals by a mine sensor according to claim 1, characterized in that, It also includes the following steps: Obtain the power control instruction; After executing the power control instruction, delay for a preset first duration and acquire the first acquisition signal; Adjust the first duration positively correlated with the energy of the first interference signal. The higher the energy of the first interference signal, the longer the first duration; the lower the energy of the first interference signal, the shorter the first duration; After executing the power control instruction, delay for a preset second duration and acquire the second acquisition signal; Adjust the second duration inversely correlated with the setting distance, where the first duration is greater than the second duration.

3. The monitoring method for collecting multiple signals by the mine sensor according to claim 1, characterized in that, In the step of obtaining the first acquisition signal, it further includes the following sub-steps: If the first acquisition signal is a voltage signal, then connect the sampling resistor in series to the acquisition branch; If the first acquisition signal is a current signal, then cut the sampling resistor out of the acquisition branch.

4. The monitoring method for a mine sensor to collect multiple signals according to claim 2, characterized in that, The method also includes the following steps: Extract the control frequency from the power control instruction; Move the control frequency band range positively correlated with the control frequency, and magnify the control frequency band range positively correlated, wherein the increment of the magnification of the control frequency band range is less than the increment of the movement of the control frequency band range; the greater the control frequency, the greater the central value of the control frequency band range, and the greater the width of the control frequency band range; the smaller the control frequency, the smaller the central value of the control frequency band range, and the narrower the width of the control frequency band range.

5. The monitoring method for collecting multiple signals by the mine sensor according to claim 2, characterized in that, The method also includes the following steps: Extract the mining sensors corresponding to the control from the power control instruction, and there are multiple controlled mining sensors; Identify the sensing positions from the preset database according to the mining sensors; Calculate the interference distance according to the sensing position and the control position, where the control position is the position of the controlled device corresponding to the power control instruction; Select the mining sensor with the smallest interference distance and calculate the time interval.

6. The monitoring method for collecting multiple signals by the mine sensor according to claim 2, characterized in that, The method also includes the following steps: Extract the mining sensors corresponding to the control from the power control instruction, and there are multiple controlled mining sensors; Identify the sensing positions from a preset database according to the mining sensors; Calculate the interference distance according to the sensing position and the control position, where the control position is the position of the device controlled by the power control instruction; Select the mining sensors with the interference distance less than the corresponding preset distance; Calculate multiple time intervals and take the average value as the latest time interval.

7. The monitoring method for collecting multiple signals by the mine sensor according to claim 1, characterized in that, The method further includes the following sub-steps: Extract the first accuracy value of the first acquisition signal and the second accuracy value of the second acquisition signal; Denormalize the first accuracy value and the second accuracy value; Calculate the absolute value of the difference between the first accuracy value and the second accuracy value; Regulate the normal data setting range positively correlated with the absolute value; the larger the absolute value, the wider the normal data setting range, or the larger the central value of the normal data setting range; the smaller the absolute value, the narrower the normal data setting range, or the smaller the central value of the normal data setting range.

8. The monitoring method for a mine sensor to collect multiple signals according to claim 2, characterized in that, The method further includes the following sub-steps: Obtain the total power of the electrical equipment involved in the corresponding execution action of the power control instruction; Regulate the reference duration inversely correlated with the total power, the larger the total power, the shorter the reference duration, and the smaller the total power, the longer the reference duration.

9. A monitoring system for a mine sensor to collect multiple signals, characterized in that, It includes a processor, and the processor executes the steps of the monitoring method for the mining sensor to collect multiple signals as described in any one of claims 1-8.

10. A storage medium, characterized in that, A program is stored in the medium, and when the program is executed by the processor, it implements the steps of the monitoring method for the mining sensor to collect multiple signals as described in any one of claims 1-8.

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