Monitoring method, system and storage medium for collecting multiple signals from mining sensors

Abstract

The present application relates to the technical field of mine automation control, and discloses a monitoring method, system and storage medium for collecting multiple signals by mining sensors. The method includes: obtaining the analog signal of the first sensor and performing spectrum analysis, calculating the energy increase value of the preset frequency band, and determining the first interference signal; obtaining the digital signal of the second sensor on the same circuit board, matching the normal data setting range according to the signal, identifying the abnormal data setting, and determining the second interference signal; obtaining the occurrence time of the two types of interference signals, and issuing an alarm if the time interval is less than the preset reference duration. It can also dynamically adjust the acquisition delay, switch the sampling resistor to adapt the signal type, adjust the control frequency band according to the control frequency, filter sensors based on the interference distance calculated based on the position, adjust the data range according to the accuracy difference, and adjust the reference duration according to the equipment power. Through multi-signal collaborative detection and multi-dimensional adaptive mechanism, the anti-interference ability of data acquisition in complex mining environments is improved.

Description

Technical Field

[0001] The present application relates to the technical field of mine automation control, and in particular to a monitoring method, system, and storage medium for collecting multiple signals from mining sensors. Background Art

[0002] In modern coal mining operations, various sensors are widely installed on mining equipment to collect real-time critical data such as equipment operating status and working environment. With the increasing intelligence of coal mining equipment and growing customer demand, the number of sensors installed on equipment is also increasing. Sensors output various types of signals, including voltage, current, frequency, and resistance. By analyzing and processing this data, operators can promptly understand the operating status of coal mining equipment and the safety of the underground environment, thereby achieving precise control and scientific management of coal mining operations, improving mining efficiency and safety.

[0003] Electrical equipment such as motors and inverters in coal mining equipment inevitably generate electromagnetic noise and interference during operation. For example, the current in motors fluctuates dramatically during startup and shutdown, generating electromagnetic pulses in the surrounding area and creating a strong source of electromagnetic interference. Furthermore, the high-frequency switching of the power electronic components within inverters during operation generates abundant high-frequency harmonics. This electromagnetic noise and interference propagates through electromagnetic radiation and conduction, adversely affecting surrounding electronic equipment. These interference sources are becoming increasingly prominent in the complex operating environment of coal mining equipment.

[0004] The electromagnetic noise and interference generated by these electrical devices can severely impact data collection and transmission from sensors on coal mining equipment. When sensors are subject to electromagnetic interference, the collected data may be biased, distorted, or even erroneous. Currently, most sensor acquisition devices can only collect data from sensors of a single signal type and cannot be configured or configured to collect data from sensors with different signal types. Consequently, when data is interfered with and errors occur, there's a risk of data being unrecognizable. Summary of the Invention

[0005] In order to provide an early warning of data interference, the present application provides a monitoring method, system and storage medium for collecting multiple signals by mining sensors.

[0006] In a first aspect, the present application provides a monitoring method for collecting multiple signals using a mining sensor, which adopts the following technical solution:

[0007] A monitoring method for collecting multiple signals using a mining sensor includes the following steps:

[0008] Acquire a first acquisition signal based on a first sensor that acquires and generates an analog signal;

[0009] Performing spectrum analysis on the first acquisition signal to extract a first frequency signal;

[0010] Calculating an 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;

[0011] Acquire a second acquisition signal based on a second sensor that acquires and generates a digital signal; wherein the first sensor and the second sensor are located on the same circuit board;

[0012] matching a normal data setting range according to the data format of the second acquisition signal, and identifying abnormal data settings outside the normal data setting range according to the current second acquisition signal;

[0013] 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 represented as generating a second interference signal;

[0014] Acquire a first occurrence time of the first interference signal and a second occurrence time of the second interference signal;

[0015] If the time interval between the first occurrence time and the second occurrence time is less than a preset reference time length, an interference warning is issued.

[0016] By adopting the above technical solution, through independent detection and correlation analysis of analog and digital signals, accurate interference identification of multiple signals is achieved, avoiding misjudgment of a single signal, and effectively improving the accuracy and reliability of data collection in the complex electromagnetic environment of mines, providing strong guarantees for the operating status monitoring and safety control of coal mining equipment.

[0017] Optionally, the following steps are also included:

[0018] Obtain power control instructions;

[0019] After executing the power control instruction, a first preset time period is delayed to collect the first collection signal;

[0020] The first duration is adjusted according to the positive correlation of the energy of the first interference signal, wherein the higher the energy of the first interference signal is, the longer the first duration is; and the lower the energy of the first interference signal is, the shorter the first duration is;

[0021] After executing the power control instruction, a second preset time period is delayed to collect the second collection signal;

[0022] The second duration is adjusted in anti-correlation according to the placement distance, wherein the first duration is greater than the second duration.

[0023] By adopting the above technical solution, the dynamic and adaptive delayed acquisition mechanism can effectively reduce the impact of electromagnetic interference generated by the operation of power equipment on sensor data acquisition, and improve the anti-interference ability of signal acquisition and data accuracy.

[0024] Optionally, the step of obtaining the first acquisition signal further includes the following sub-steps:

[0025] If the first acquisition signal is a voltage signal, a sampling resistor is connected in series to the acquisition branch;

[0026] If the first acquisition signal is a current signal, the sampling resistor is cut out of the acquisition branch.

[0027] By adopting the above technical solution and a differentiated processing strategy based on signal characteristics, the compatibility problem when mining sensors output multiple analog signals (voltage, current) is effectively solved, the measurement error and interference risk caused by improper signal conversion are reduced, and the acquisition system can flexibly adapt to different types of signals, thereby improving the versatility, reliability and anti-interference ability of data acquisition.

[0028] Optionally, the method further comprises the following steps:

[0029] extracting a control frequency from the power control instruction;

[0030] The control frequency band range is positively moved according to the control frequency, and the control frequency band range is positively amplified, wherein the increment of the control frequency band range amplification is smaller than the increment of the control frequency band range movement; the larger the control frequency is, the larger the center value of the control frequency band range is, and the wider the control frequency band range is; the smaller the control frequency is, the smaller the center value of the control frequency band range is, and the narrower the control frequency band range is.

[0031] By adopting the above technical solutions and dynamically adjusting the mechanism, the interference detection frequency band can closely follow the changes in the equipment's operating status, effectively capturing the electromagnetic interference characteristics under different working conditions, avoiding interference omissions or misjudgments caused by fixed frequency bands, and significantly improving the accuracy of interference identification.

[0032] Optionally, the method further comprises the following steps:

[0033] Extracting a corresponding controlled mining sensor from the power control instruction, wherein there are multiple controlled mining sensors;

[0034] identifying a sensing position from a preset database according to the mining sensor;

[0035] Calculating an interference distance based on the sensing position and the control position, wherein the control position is a position of a controlled device corresponding to the power control instruction;

[0036] The mining sensor with the smallest interference distance is selected to calculate the time interval.

[0037] By adopting the above technical solution, different sensors are located in different locations and are subject to different interference situations, requiring location-based analysis. Selecting the sensor with the smallest interference distance for analysis can accurately locate the sensor most severely interfered with, avoiding invalid calculations and misjudgments caused by weak interference signals from distant sensors, effectively improving the targetedness and efficiency of interference detection.

[0038] Optionally, the method further comprises the following steps:

[0039] Extracting a corresponding controlled mining sensor from the power control instruction, wherein there are multiple controlled mining sensors;

[0040] identifying a sensing position from a preset database according to the mining sensor;

[0041] Calculating an interference distance based on the sensing position and the control position, wherein the control position is the position of a device controlled by the power control instruction;

[0042] Selecting the mining sensor whose interference distance is smaller than a preset corresponding distance;

[0043] A plurality of time intervals are calculated and an average value is taken, and the average value is used as the latest time interval.

[0044] By adopting the above technical solution, the detection error of a single sensor caused by environmental fluctuations is effectively smoothed through the averaging processing of multi-sensor time interval data, reducing data randomness and improving the accuracy and stability of the interference signal time interval calculation.

[0045] Optionally, the method further includes the following sub-steps:

[0046] extracting a first precision value of the first acquisition signal and a second precision value of the second acquisition signal;

[0047] De-normalizing the first precision value and the second precision value;

[0048] Calculating the absolute value of the difference between the first precision value and the second precision value;

[0049] The normal data setting range is adjusted according to the positive correlation of the absolute value; the larger the absolute value is, the wider the normal data setting range is, or the larger the center value of the normal data setting range is; the smaller the absolute value is, the narrower the normal data setting range is, or the smaller the center value of the normal data setting range is.

[0050] By adopting the above technical solution, the accuracy difference is quantified and the normal data setting range is adjusted positively. When the accuracy difference is large, the range is automatically relaxed or the center value is increased to accommodate the inherent fluctuations caused by accuracy differences in different signal types and reduce false alarms caused by accuracy mismatch. When the accuracy is similar, the range is tightened to enhance sensitivity to real anomalies.

[0051] Optionally, the method further includes the following sub-steps:

[0052] Obtaining the total power of the electrical equipment involved in the execution action corresponding to the power control instruction;

[0053] The reference time duration is adjusted according to the anti-correlation of the total power. The greater the total power, the shorter the reference time duration; the smaller the total power, the longer the reference time duration.

[0054] By adopting the above technical solution and setting up an anti-correlation adjustment mechanism, the system can adaptively adjust the interference detection strategy according to the power characteristics of the equipment, avoiding the problem of delayed response to interference from high-power equipment and excessive sensitivity to interference from low-power equipment, thereby optimizing the timeliness and accuracy of interference warnings.

[0055] In a second aspect, the present application provides a monitoring system for collecting multiple signals from mining sensors, which adopts the following technical solutions:

[0056] A monitoring system for collecting multiple signals using a mining sensor includes a processor, wherein the processor executes the steps of any one of the above-mentioned monitoring methods for collecting multiple signals using a mining sensor.

[0057] In a third aspect, the present application provides a storage medium that adopts the following technical solution:

[0058] A storage medium stores a program, which, when executed by a processor, implements the steps of any one of the above-mentioned monitoring methods for collecting multiple signals by a mining sensor.

[0059] In summary, this application includes at least one of the following beneficial technical effects:

[0060] By simultaneously analyzing the interference characteristics of analog signals (first sensor) and digital signals (second sensor), combined with timing correlation analysis, accurate identification of interference sources across signal types can be achieved, significantly reducing the misjudgment rate of single signal detection and improving the reliability of data acquisition in complex electromagnetic environments.

[0061] Dynamically adjust the acquisition delay (first duration, second duration) according to the interference intensity (first interference signal energy, abnormal data setting distance), effectively avoid strong interference at the moment of power equipment start and stop, optimize signal acquisition timing, and improve data accuracy.

[0062] Automatically switching the sampling resistor configuration through an electronic switch enables seamless and compatible acquisition of voltage / current signals, solving the limitation of traditional systems requiring manual hardware adjustment and improving system versatility and flexibility. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a step diagram of a monitoring method for collecting multiple signals using mining sensors.

[0064] Figure 2 This is the principle block diagram of the mining sensor acquisition device.

[0065] Figure 3 It is the frequency sampling circuit diagram.

[0066] Figure 4 This is the circuit diagram of voltage sampling and current sampling. DETAILED DESCRIPTION

[0067] Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings.

[0068] Throughout this specification, reference to the terms "certain embodiments," "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiments or examples are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0069] The embodiment of the present application discloses a monitoring method for collecting multiple signals by a mining sensor, based on a mining sensor collection device, referring to Figure 1 and Figure 2 , including the following steps:

[0070] A first acquisition signal is acquired based on a first sensor that acquires and generates an analog signal. If the first acquisition signal is a voltage signal, a sampling resistor is connected in series to the acquisition branch. If the first acquisition signal is a current signal, the sampling resistor is disconnected from the acquisition branch.

[0071] A spectrum analysis is performed on the first collected signal to extract a first frequency signal, a Fourier transform is performed on the analog signal, the time domain signal is converted into a frequency domain energy distribution, and the frequency component of the interference signal is identified.

[0072] The energy gain value for the preset frequency band is calculated from the first frequency signal. If the energy gain value is greater than the preset reference energy value and the corresponding frequency band is within the preset control frequency band, the corresponding frequency band and energy are considered the first interference signal. The energy gain value is calculated by subtracting the total energy in the current preset frequency band from the baseline energy value for that frequency band, which is obtained from historical data collected during normal device operation.

[0073] Based on the second sensor that collects and generates digital signals, a second collected signal is obtained; wherein the first sensor and the second sensor are located on the same circuit board.

[0074] The normal data setting range is matched according to the data format of the second acquisition signal, and the abnormal data setting outside the normal data setting range is identified according to the current second acquisition signal. Since the data monitoring of the sensor is accurate, for example, the accuracy of the temperature sensor is 1 degree Celsius, such as an eight-bit binary number 10100000, the first four digits represent the normal data setting range, representing digits with recognizable accuracy; the normal data setting range is a binary value representing digits within the recognizable accuracy range. Abnormal data settings outside the normal data setting range represent digits below the accuracy, such as the last four digits of the eight-bit binary number 10100000; no matter how it is monitored, the last four digits generally do not change; however, if there is interference and an abnormal setting occurs, interference can be determined, so the presence of interference can be monitored by changes in these digits.

[0075] If the distance between the abnormal data setting and the normal data setting range is greater than a preset reference distance value, the abnormal data setting indicates that a second interference signal is generated. 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.

[0076] A first occurrence time of the first interference signal and a second occurrence time of the second interference signal are acquired.

[0077] If the time interval between the first occurrence time and the second occurrence time is less than the preset reference time, an interference warning is issued. If the two anomalies occur at similar times, it means that they are likely caused by the same interference source, so a warning is required.

[0078] Through independent detection and correlation analysis of analog and digital signals, precise interference identification is achieved through multi-signal collaboration, avoiding misjudgment of a single signal. This effectively improves the accuracy and reliability of data acquisition in complex electromagnetic environments in mines, providing strong support for operating status monitoring and safety control of coal mining equipment. The system supports flexible software configuration to collect multiple signals, including 0-5V or 4-20mA analog signals, frequency signals, switch signals, and PT100-type temperature signals. Equipped with CAN and 485 communication interfaces, it can collect data from sensors that support CAN or 485 communication protocols, meeting the unified access and data acquisition needs of multiple types of sensors in complex scenarios such as mines.

[0079] The following steps are also included:

[0080] Obtain power control instructions, such as those for controlling motor start or switchgear operation. After executing the power control instruction (such as motor start or switchgear operation), the system collects data from the first sensor (analog signal) and the second sensor (digital signal) for different preset durations (first duration and second duration).

[0081] After executing the power control instruction, a first preset time length, such as 200ms, is delayed to collect a first collection signal.

[0082] The first duration is adjusted in a 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. The first duration is adjusted in a positive correlation with the energy of the first interference signal. When the interference energy is greater, the delayed acquisition time is longer, thereby avoiding strong electromagnetic interference generated at the moment of power equipment startup.

[0083] After executing the power control instruction, a second preset time length, such as 50ms, is delayed to collect the second collection signal.

[0084] The second duration is adjusted based on the anti-correlation of the set distance. The larger the set distance, the shorter the second duration; the smaller the set distance, the longer the second duration; the first duration is greater than the second duration. The second duration is adjusted based on the anti-correlation of the distance between the abnormal data set and the normal data set. That is, as the set distance increases and the interference level increases, the second duration is shortened accordingly to avoid continuous exposure to strong interference environments. Setting the first duration longer than the second duration also accommodates the different interference characteristics and response requirements of analog and digital signals.

[0085] In this embodiment, refer to Figure 3The frequency sampling circuit can collect square wave frequency signals as well as high and low level signals from switch inputs. When configured to collect frequency signals, the microcontroller collects the pulse width of the frequency signal and calculates the frequency. When configured to detect high and low levels, the microcontroller determines the presence of a signal based on the high and low levels of the pins.

[0086] Among them, reference Figure 4 If the first acquisition signal is a voltage signal, then the sampling resistor R80 is connected in series to the acquisition branch. For voltage signals, the sampling resistor is connected in series to the acquisition branch, and the resistor voltage divider principle is used to convert the voltage signal into a voltage range suitable for processing by the acquisition module, ensuring the accuracy and stability of signal acquisition.

[0087] If the first acquisition signal is a current signal, the sampling resistor is cut out of the acquisition branch. When facing a current signal, the sampling resistor is cut out of the acquisition branch to avoid the resistor from causing shunting or voltage drop on the current signal, thereby ensuring the integrity and accuracy of the current signal.

[0088] The control switch between collecting voltage or collecting current is controlled by an electronic switch to control the connection of the 240R sampling resistor to realize the switching of voltage sampling and current sampling signals. When configured to collect voltage signals, disconnect the 240R sampling resistor. When configured to collect current signals, connect the 240R sampling resistor, thereby realizing the flexible configuration of 0-5V voltage signal and 4-20mA current signal. Figure 4 As shown, by controlling pin 4 of the chip U27, you can choose to collect voltage signals or current signals.

[0089] The method further comprises the steps of:

[0090] Extract the control frequency from the power control command; such as the control frequency of the variable frequency motor.

[0091] The control frequency band is shifted and amplified in a positive correlation with the control frequency, with the amplification step being smaller than the shift step. The larger the control frequency, the larger the center value of the control frequency band and the wider the control frequency band; the smaller the control frequency, the smaller the center value of the control frequency band and the narrower the control frequency band. For example, during low-speed operation of the motor, the control frequency is 20Hz. After extracting this frequency from the power control command, the system sets the control frequency band to a range of 30Hz (i.e., 20Hz-80Hz) with a center value of 50Hz. This frequency band effectively covers the low-frequency electromagnetic interference generated by the motor during low-speed operation. When the motor speeds up to 50Hz, the system extracts the control frequency and positively adjusts the center value of the control frequency band to 125Hz and the width to 50Hz (i.e., 100Hz-150Hz). This adapts to the characteristics of high-frequency operation, where the interference frequency band shifts to higher frequencies and the energy distribution becomes wider. If the motor speed drops to 10Hz, the center value of the control frequency band is reduced to 25Hz, and the width is reduced to 20Hz (i.e. 15Hz-35Hz), accurately locking the low-frequency interference area.

[0092] By extracting the variable-frequency motor's control frequency from the power control command and dynamically adjusting the control frequency band accordingly, the interference detection frequency band is deeply adapted to the equipment's operating conditions. As the control frequency increases, the electromagnetic interference frequency band generated by the equipment shifts toward higher frequencies and its energy distribution widens. At this point, the control frequency band simultaneously shifts forward and moderately amplifies, with the amplification step smaller than the shift step. This ensures coverage of the interference frequency migration range while avoiding misjudgments caused by overexpansion. Conversely, as the control frequency decreases, the center value and width of the control frequency band shrink accordingly, precisely focusing on low-frequency interference areas.

[0093] Different sensors are located at different locations, and therefore are subject to different interference conditions. This requires analysis based on the location. The method further includes the following steps:

[0094] Method 1:

[0095] The corresponding controlled mining sensors are extracted from the power control instructions, and there are multiple controlled mining sensors.

[0096] Identify the sensor location from the preset database based on the mining sensor;

[0097] The interference distance is calculated 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.

[0098] Select the mining sensor with the smallest interference distance to calculate the time interval.

[0099] Selecting the sensor with the smallest interference distance for analysis can accurately locate the sensor most severely interfered with, avoid invalid calculations and misjudgments caused by weak interference signals from long-distance sensors, and effectively improve the pertinence and efficiency of interference detection.

[0100] For example, in a coal mine, a power control command starts a high-power fan located in Lane A. This fan generates electromagnetic interference when in operation. Three mining sensors are located nearby: gas concentration sensor S1 at the entrance to Lane A, temperature sensor S2 located 50 meters from the fan, and humidity sensor S3 located in Lane B (100 meters from the fan). The system extracts the controlled sensors S1, S2, and S3 from the power control command. After identifying the sensor locations using a pre-set database, it calculates the interference distances between S1 and the fan as 10 meters, S2 as 50 meters, and S3 as 100 meters. Clearly, S1 has the smallest interference distance, so the system selects S1's data and calculates the time interval between its detection of the interference signal and other related signals to determine the interference situation. Because S1 is closest to the fan, it experiences the most direct and intense interference. Analyzing its data allows for more accurate interference location, avoiding interference from longer-range, less-interfering sensors like S2 ​​and S3, and efficiently determining the critical time information for the interference occurrence.

[0101] Method 2:

[0102] The corresponding controlled mining sensor is extracted from the power control instruction, and there are multiple controlled mining sensors.

[0103] Identify the sensor location from the preset database based on the mining sensor;

[0104] The interference distance is calculated based on the sensing position and the control position, wherein the control position is the position of the device controlled by the power control instruction.

[0105] Select a mining sensor with an interference distance smaller than the preset corresponding distance;

[0106] Calculate multiple time intervals and take the average, and use the average as the latest time interval.

[0107] By averaging the time interval data of multiple sensors, the detection error of a single sensor caused by environmental fluctuations is effectively smoothed, the randomness of the data is reduced, and the accuracy and stability of the interference signal time interval calculation are improved.

[0108] For example, in this underground coal mine, the power control command is to start a coal mining machine located in mining area C. Four mining sensors are located within the mining area: vibration sensor M1, located 20 meters from the coal mining machine; current sensor M2, located 30 meters; pressure sensor M3, located 40 meters; and displacement sensor M4, located 60 meters. The system presets a corresponding distance of 50 meters. After extracting the controlled sensors M1, M2, M3, and M4 and calculating the interference distance, it finds that the interference distances for M1 (20 meters), M2 (30 meters), and M3 (40 meters) are less than 50 meters, while the interference distance for M4 is greater than 50 meters. The system then selects sensors M1, M2, and M3 and calculates the time intervals between their detection of the interference signal and the other signal, obtaining three time intervals: T1, T2, and T3. The system then takes the average value (T = (T1 + T2 + T3) / 3) and uses 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), such errors can be effectively eliminated by averaging the time interval data of multiple sensors that meet the conditions. This allows the final time interval to more truly reflect the actual situation of the interference signal, providing stable and accurate data support for subsequent interference analysis and processing.

[0109] The method further comprises the following sub-steps:

[0110] 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 4-20mA gas concentration sensor with an accuracy of ±0.1%FS (a full scale of 20mA corresponds to 2% gas concentration, i.e., ±0.002% gas accuracy); the second sensor (digital): an SPI interface digital temperature sensor with 8-bit resolution (accuracy of ±1°C).

[0111] The first and second accuracy values ​​are normalized using a normalization factor. The first accuracy value is 0.002% (gas concentration accuracy); the second accuracy value is 1°C (temperature accuracy). The normalized first accuracy value is 0.002% × 100 = 0.2; the normalized second accuracy value is 1°C × 0.1 = 0.1.

[0112] Calculate the absolute value of the difference between the first precision value and the second precision value. In the above case, the absolute value Δ is 0.1.

[0113] The normal data setting range is adjusted 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 center value of the normal data setting range; the smaller the absolute value, the narrower the normal data setting range, or the smaller the center value of the normal data setting range.

[0114] Assume that the initial normal data setting range is [μ-2σ, μ+2σ], the benchmark accuracy difference is 0.05, and the adjustment coefficient is 0.2:

[0115] Adjustment factor = 1 + (Δ / 0.05) × 0.2 = 1.4;

[0116] The adjusted range becomes: [μ-2σ×1.4, μ+2σ×1.4]=[μ-2.8σ, μ+2.8σ].

[0117] Differences in the precision systems of analog and digital signals (such as analog voltage / current accuracy and digital bit accuracy) can lead to misjudgments during data fusion and interference detection. By quantifying these differences and adjusting the normal data setting range in a positive correlation, the system automatically widens the range or raises the center value when the accuracy difference is large, accommodating the inherent fluctuations caused by precision differences between different signal types and reducing false alarms caused by precision mismatches. When the accuracy is similar, the range is tightened to enhance sensitivity to true anomalies.

[0118] The method further comprises the following sub-steps:

[0119] Obtain the total power of the electrical equipment involved in the action executed by the power control command. The power control command triggers the start of the coal mining machine. The total equipment power P = 1000kW. High-intensity electromagnetic interference is generated during startup, but it decays quickly (typical decay time is about 500ms).

[0120] The reference duration is adjusted based on the anti-correlation of total power. The greater the total power, the shorter the reference duration, and the smaller the total power, the longer the reference duration. Assuming a base duration of T0 = 1000ms and an adjustment factor k = 500, T = T0 / (1 + P / k), which is approximately 333ms. The system begins intensive sampling 333ms after command execution, quickly capturing interference peaks (e.g., a ±15% fluctuation in the first acquired signal). Because the reference duration is shortened, interference energy calculations focus more on strong interference at the moment of startup, triggering a timely warning. Interference detection response time is shortened from 1000ms to 333ms, detecting potential risks 667ms earlier.

[0121] In mining environments, the electromagnetic interference generated by high-power electrical equipment (such as motors and inverters) at startup is high in intensity but short in duration, while the interference from low-power equipment is weaker but may have a longer attenuation period. Based on this characteristic, when the total power is high, the system automatically shortens the reference time to improve the sensitivity of interference detection, ensuring that strong interference signals can be quickly captured and timely warnings can be issued. When the total power is low, the reference time is extended to avoid missed detections due to weak interference signals or slow decay. An anti-correlation adjustment mechanism enables the system to adaptively adjust the interference detection strategy based on the power characteristics of the equipment. This avoids delayed response to interference from high-power equipment and oversensitivity to interference from low-power equipment, thereby optimizing the timeliness and accuracy of interference warnings.

[0122] An embodiment of the present application further discloses a monitoring system for collecting multiple signals using a mining sensor, including a processor, wherein the processor executes the steps of any one of the above-described monitoring methods for collecting multiple signals using a mining sensor.

[0123] An embodiment of the present application further discloses a storage medium, wherein a program is stored in the storage medium. When the program is executed by a processor, the steps of the monitoring method for collecting multiple signals by a mining sensor as described above are implemented.

[0124] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A monitoring method for collecting multiple signals using a mining sensor, characterized in that: The steps include: Acquire a first acquisition signal based on a first sensor that acquires and generates an analog signal; Performing spectrum analysis on the first acquisition signal to extract a first frequency signal; Calculating an 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; Acquire a second acquisition signal based on a second sensor that acquires and generates a digital signal; wherein the first sensor and the second sensor are located on the same circuit board; matching a normal data setting range according to the data format of the second acquisition signal, and identifying abnormal data settings 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 a preset reference distance value, the abnormal data setting is represented as generating a second interference signal; Acquire a first occurrence time of the first interference signal and a 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 time length, an interference warning is issued; Obtain power control instructions; After executing the power control instruction, a first preset time period is delayed to collect the first collection signal; Adjusting the first duration according to the positive correlation of 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, a second preset time period is delayed to collect the second collection signal; adjusting the second duration in anti-correlation according to the placement distance, wherein the first duration is greater than the second duration; Extracting a corresponding controlled mining sensor from the power control instruction, wherein there are multiple controlled mining sensors; identifying a sensing position from a preset database according to the mining sensor; Calculating an interference distance based on the sensing position and the control position, wherein the control position is a position of a controlled device corresponding to the power control instruction; Select the mining sensor with the smallest interference distance to calculate the time interval; or select the mining sensor with the interference distance less than a preset corresponding distance, calculate multiple time intervals and take an average value, and use the average value as the latest time interval; extracting a first precision value of the first acquisition signal and a second precision value of the second acquisition signal; De-normalizing the first precision value and the second precision value; Calculating the absolute value of the difference between the first precision value and the second precision value; The normal data setting range is adjusted according to the positive correlation of the absolute value; the larger the absolute value is, the wider the normal data setting range is, or the larger the center value of the normal data setting range is; the smaller the absolute value is, the narrower the normal data setting range is, or the smaller the center value of the normal data setting range is.

2. The monitoring method for collecting multiple signals by mining sensors according to claim 1, characterized in that: The step of obtaining the first acquisition signal further includes the following sub-steps: If the first acquisition signal is a voltage signal, a sampling resistor is connected 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.

3. The monitoring method for collecting multiple signals by mining sensors according to claim 1, characterized in that: The method further comprises the steps of: extracting a control frequency from the power control instruction; The control frequency band range is positively moved according to the control frequency, and the control frequency band range is positively amplified, wherein the increment of the control frequency band range amplification is smaller than the increment of the control frequency band range movement; the larger the control frequency is, the larger the center value of the control frequency band range is, and the wider the control frequency band range is; the smaller the control frequency is, the smaller the center value of the control frequency band range is, and the narrower the control frequency band range is.

4. The monitoring method for collecting multiple signals by mining sensors according to claim 1, characterized in that: The method further comprises the following sub-steps: Obtaining the total power of the electrical equipment involved in the execution action corresponding to the power control instruction; The reference time duration is adjusted according to the anti-correlation of the total power. The greater the total power, the shorter the reference time duration; the smaller the total power, the longer the reference time duration.

5. A monitoring system for collecting multiple signals using mining sensors, characterized in that: The method comprises a processor, wherein the processor executes the steps of the monitoring method for collecting multiple signals by a mining sensor as described in any one of claims 1 to 4.

6. A storage medium, characterized in that The medium stores a program, and when the program is executed by the processor, the steps of the monitoring method for collecting multiple signals by a mining sensor according to any one of claims 1 to 4 are implemented.

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