Mining dust concentration monitoring system and monitoring method thereof

Abstract

The invention relates to the technical field of mining dust concentration monitoring, in particular to a mining dust concentration monitoring system and method, and the system comprises a dust sensor module, a signal amplification and filtering module, an analog-to-digital conversion module and a data processing and monitoring module; the dust sensor module is used for detecting the dust concentration in an underground coal mine and adopts a multi-mode detection mode combining electrostatic induction and optics; the signal amplification and filtering module comprises a low-noise amplifier and a self-adaptive filtering circuit, the multi-mode sensor is combined with the automatic temperature compensation and self-adaptive filtering technology, the measurement precision and the signal stability of the concentration of tiny dust in a complex environment are greatly improved, meanwhile, the temperature compensation function is introduced, and the measurement precision is improved. And by combining a nonlinear compensation algorithm, a dynamic response adjustment mechanism and a multivariable compensation system, the stability and precision of signal amplification in a complex underground coal mine environment are remarkably improved.

Description

Technical Field

[0001] The invention relates to the technical field of mining dust concentration monitoring, in particular to a mining dust concentration monitoring system and a monitoring method thereof. Background Art

[0002] With the continuous improvement of the mechanization level of coal mines, dust pollution is becoming more and more serious. Real-time monitoring of dust concentration and timely adoption of ventilation and dust removal measures can effectively prevent dust explosions and improve the working environment.

[0003] Traditional dust monitoring systems mostly use sensors based on optical principles or electrostatic induction principles. However, in the complex environment of coal mines, the measurement accuracy of these systems is often affected by temperature fluctuations, resulting in unstable output signals of the sensors. Therefore, a mining dust concentration monitoring system and a monitoring method thereof are proposed to address the above problems. Summary of the invention

[0004] The purpose of the present invention is to provide a mining dust concentration monitoring system and a monitoring method thereof, so as to solve the problem that most traditional dust monitoring systems use sensors based on optical principles or electrostatic induction principles, but in the complex environment of coal mines, the measurement accuracy of these systems is often affected by temperature fluctuations, resulting in unstable output signals of the sensors.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A mining dust concentration monitoring system and a monitoring method thereof, comprising a dust sensor module, a signal amplification and filtering module, an analog-to-digital conversion module and a data processing and monitoring module; the dust sensor module is used to detect the dust concentration in a coal mine, and adopts a multi-mode detection method combining electrostatic induction and optics; the signal amplification and filtering module comprises a low-noise amplifier and an adaptive filtering circuit, and the signal amplification and filtering module is used to amplify and filter out the noise in the output signal of the dust sensor; the analog-to-digital conversion module is used to convert the amplified analog signal into a digital signal, and reduce the quantization noise by averaging multiple samplings; the data processing and monitoring module comprises a central processing unit and a display alarm system, and the data processing and monitoring module is used to analyze and process dust concentration data, and trigger an alarm when the dust concentration exceeds the standard; the signal amplification and filtering module has an automatic temperature compensation function, and the automatic temperature compensation function is used to reduce the influence of temperature fluctuation in the coal mine on signal amplification, and the specific calculation formula of temperature compensation is:

[0007]

[0008] Where: V out is the output voltage after temperature compensation, V inis the input voltage signal, K is the gain temperature coefficient of the device, T is the current temperature, T ref is the reference temperature, and β is the nonlinear adjustment coefficient.

[0009] As further optimized content of the present invention, the temperature compensation function also includes a nonlinear compensation algorithm, a dynamic response adjustment mechanism, a multivariable compensation system and a high-precision temperature sensor; the nonlinear compensation algorithm is used to deal with the nonlinear influence of temperature on signal amplification, especially when the temperature changes drastically, to ensure the stability of signal amplification; the dynamic response adjustment mechanism is used to speed up the response speed of the temperature compensation system to rapid temperature changes and reduce the influence of compensation lag; the multivariable compensation system, on the basis of temperature compensation, introduces an environmental humidity compensation function to further reduce the interference of environmental factors on signal amplification; the high-precision temperature sensor is used to accurately measure the real-time temperature of the signal amplifier and ensure the accuracy of temperature measurement through regular calibration.

[0010] As a further optimized content of the present invention, the analog-to-digital conversion module reduces quantization noise by averaging multiple samples, and uses a calibration algorithm to compensate for nonlinear errors of the sensor and the analog-to-digital conversion module.

[0011] As a further optimized content of the present invention, the display alarm system includes a multi-level alarm mechanism, which triggers corresponding alarm signals according to different levels of dust concentration.

[0012] As a further optimized content of the present invention, the multi-mode detection of the dust sensor module includes two modes: electrostatic induction and optical scattering detection, by fusing the data of the two modes.

[0013] As further optimized content of the present invention, the following steps are included: Step 1: Data collection: The dust concentration in the coal mine is detected in real time by a dust sensor module to generate an electrical signal. The dust sensor module includes an electrostatic induction sensor and an optical scattering sensor, and the charge signal and optical signal of the dust are collected simultaneously by a multi-mode detection method;

[0014] Step 2: Signal processing: The electrical signal is amplified and noise is filtered out through the signal amplification and filtering module. A temperature compensation mechanism is used during the amplification process. In addition to temperature compensation, dynamic compensation for ambient humidity is also performed during the amplification process.

[0015] Step 3: Analog-to-digital conversion: convert the processed analog signal into a digital signal through an analog-to-digital conversion module;

[0016] Step 4: Data analysis and alarm: Analyze the digital signal through the data processing and monitoring module, calculate the dust concentration value, trigger an alarm when the concentration exceeds the standard, record the dust concentration data in real time, and provide trend analysis and historical data playback functions.

[0017] As a further optimization of the present invention, in the data analysis step, an artificial intelligence-based algorithm is used to perform fusion analysis on the multi-mode data collected by the sensor to calculate the dust concentration value.

[0018] As a further optimization of the present invention, in the signal processing step, an adaptive filtering algorithm is used to filter out noise in the signal in real time.

[0019] As a further optimized content of the present invention, the analog-to-digital conversion module adopts multiple sampling and averaging technology to compensate for the nonlinear errors of the sensor and the analog-to-digital conversion module through a calibration algorithm.

[0020] As a further optimization of the present invention, in the alarm step, when the dust concentration reaches a preset danger threshold, the system will automatically generate and send an alarm message to a remote monitoring center.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] 1. In the present invention, by adopting a multi-mode sensor combined with automatic temperature compensation and adaptive filtering technology, the measurement accuracy and signal stability of tiny dust concentration in a complex environment are greatly improved. At the same time, the temperature compensation function is introduced, combined with a nonlinear compensation algorithm, a dynamic response adjustment mechanism and a multivariable compensation system, the stability and accuracy of signal amplification in a complex coal mine underground environment are significantly improved. The calculation formula of the temperature compensation coefficient can accurately correct the influence of temperature fluctuation on signal amplification, ensuring that the system can still provide accurate dust concentration detection under high or low temperature conditions. At the same time, the dynamic response adjustment mechanism speeds up the system's response speed to rapid temperature changes and reduces the problem of compensation lag. The multivariable compensation system further considers the influence of humidity on the signal, comprehensively improves the robustness and reliability of the system, and ensures the high accuracy and stability of the measurement results;

[0023] 2. In the present invention, the anti-interference ability and measurement accuracy in the analog-to-digital conversion process are improved through multiple sampling averaging and nonlinear error compensation, ensuring the reliability and long-term stability of the system in a high-interference environment. The system can monitor the dust concentration in real time and give timely alarms, while simplifying the equipment maintenance process, extending the maintenance-free time of the equipment, and reducing the operating costs and safety risks underground in coal mines. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1The present invention is a flow chart of a mining dust concentration monitoring system and a monitoring method thereof. DETAILED DESCRIPTION

[0025] See also Figure 1 , the present invention provides a technical solution:

[0026] A mining dust concentration monitoring system and a monitoring method thereof, comprising a dust sensor module, a signal amplification and filtering module, an analog-to-digital conversion module and a data processing and monitoring module; the dust sensor module is used to detect the dust concentration in a coal mine, and adopts a multi-mode detection method combining electrostatic induction and optics; the signal amplification and filtering module comprises a low-noise amplifier and an adaptive filtering circuit, and the signal amplification and filtering module is used to amplify and filter out the noise in the output signal of the dust sensor; the analog-to-digital conversion module is used to convert the amplified analog signal into a digital signal, and reduce the quantization noise by averaging multiple samplings; the data processing and monitoring module comprises a central processing unit and a display alarm system, and the data processing and monitoring module is used to analyze and process dust concentration data, and trigger an alarm when the dust concentration exceeds the standard; the signal amplification and filtering module has an automatic temperature compensation function, and the automatic temperature compensation function is used to reduce the influence of temperature fluctuation in the coal mine on signal amplification, and the specific calculation formula of temperature compensation is:

[0027]

[0028] Where: V out is the output voltage after temperature compensation, V in is the input voltage signal, K is the gain temperature coefficient of the device, T is the current temperature, T ref is the reference temperature, and β is the nonlinear adjustment coefficient.

[0029] As a technical solution for further implementation of this scheme, the temperature compensation function also includes a nonlinear compensation algorithm, a dynamic response adjustment mechanism, a multivariable compensation system and a high-precision temperature sensor;

[0030] The nonlinear compensation algorithm is used to deal with the nonlinear effect of temperature on signal amplification, especially when the temperature changes drastically, to ensure the stability of signal amplification;

[0031] Dynamic response adjustment mechanism to speed up the temperature compensation system's response to rapid temperature changes and reduce the impact of compensation lag;

[0032] The multivariable compensation system introduces the environmental humidity compensation function on the basis of temperature compensation to further reduce the interference of environmental factors on signal amplification;

[0033] High-precision temperature sensors are used to accurately measure the real-time temperature of the signal amplifier, and the accuracy of temperature measurement is ensured through regular calibration. Through the compensation function, the system can more accurately correct the signal amplification error caused by temperature fluctuations, and improve the measurement accuracy and stability;

[0034] As a technical solution for further implementation of this scheme, the analog-to-digital conversion module reduces quantization noise by averaging multiple samples, and uses a calibration algorithm to compensate for the nonlinear errors of the sensor and the analog-to-digital conversion module. Multiple sampling and nonlinear error compensation technology improves the accuracy of signal conversion and ensures that the system can accurately detect tiny dust signals.

[0035] As a technical solution for further implementation of this scheme, the display alarm system includes a multi-level alarm mechanism, which triggers corresponding alarm signals according to different levels of dust concentration. The multi-level alarm mechanism can trigger alarm signals of different intensities according to the severity of dust concentration, helping operators to take corresponding safety measures in time;

[0036] As a technical solution for further implementation of this scheme, the multi-mode detection of the dust sensor module includes two modes: electrostatic induction and optical scattering detection. By integrating the data of the two modes, the multi-mode detection combines the advantages of electrostatic induction and optical scattering, and can detect dust concentration more comprehensively, especially in complex environments, and the detection accuracy is significantly improved;

[0037] As a technical solution for further implementing this solution, the following steps are included: Step 1: Data collection: The dust concentration in the coal mine is detected in real time by a dust sensor module to generate an electrical signal. The dust sensor module includes an electrostatic induction sensor and an optical scattering sensor, and the charge signal and optical signal of the dust are collected simultaneously by a multi-mode detection method;

[0038] Step 2: Signal processing: The electrical signal is amplified and noise is filtered out through the signal amplification and filtering module. A temperature compensation mechanism is used during the amplification process. In addition to temperature compensation, dynamic compensation for ambient humidity is also performed during the amplification process.

[0039] Step 3: Analog-to-digital conversion: convert the processed analog signal into a digital signal through an analog-to-digital conversion module;

[0040] Step 4: Data analysis and alarm: The digital signal is analyzed through the data processing and monitoring module to calculate the dust concentration value. When the concentration exceeds the standard, an alarm is triggered, the dust concentration data is recorded in real time, and trend analysis and historical data playback functions are provided. This method provides a complete process from data collection to fault alarm, ensuring that the system can respond quickly and accurately measure dust concentration;

[0041] As a technical solution for further implementation of this plan, in the data analysis step, an artificial intelligence-based algorithm is used to fuse and analyze the multi-mode data collected by the sensor to calculate the dust concentration value. Through the fusion analysis of multi-mode data by artificial intelligence algorithm, the system can calculate the dust concentration more accurately, reduce the error caused by single mode detection, and improve monitoring accuracy;

[0042] As a technical solution for further implementation of this scheme, in the signal processing step, an adaptive filtering algorithm is used to filter out the noise in the signal in real time. The adaptive filtering algorithm can adjust the filtering parameters in real time, effectively eliminate the influence of environmental noise on the measurement results, and ensure the clarity and stability of the signal;

[0043] As a technical solution for further implementation of this scheme, the analog-to-digital conversion module adopts multiple sampling averaging technology, and the nonlinear errors of the sensor and the analog-to-digital conversion module are compensated through the calibration algorithm. The data calibration step ensures that the sensor and the analog-to-digital conversion module can still maintain high accuracy in long-term use, extending the service life of the equipment and reducing the maintenance frequency;

[0044] As a technical solution for further implementation of this plan, in the alarm step, when the dust concentration reaches the preset danger threshold, the system will automatically generate and send an alarm message to the remote monitoring center. The remote alarm function ensures that when the dust concentration in the underground environment is abnormal, the monitoring center can receive the alarm message and respond in time, thereby improving the overall safety of the mine.

[0045] This article uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only used to help understand the method and core ideas of the present invention. The above is only a preferred implementation of the present invention. It should be pointed out that due to the limitations of textual expression and the objective existence of infinite specific structures, ordinary technicians in this technical field can make several improvements, modifications or changes without departing from the principles of the present invention, and can also combine the above technical features in an appropriate manner; these improvements, modifications, changes or combinations, or the direct application of the inventive concept and technical solution to other occasions without improvement, should be regarded as the protection scope of the present invention.

Claims

1. A mining dust concentration monitoring system, characterized in that: It includes dust sensor module, signal amplification and filtering module, analog-to-digital conversion module and data processing and monitoring module; The dust sensor module is used to detect the dust concentration in coal mines, and adopts a multi-mode detection method combining electrostatic induction and optics; The signal amplification and filtering module includes a low noise amplifier and an adaptive filtering circuit, and the signal amplification and filtering module is used to amplify and filter out the noise in the output signal of the dust sensor; The analog-to-digital conversion module is used to convert the amplified analog signal into a digital signal and reduce quantization noise by averaging multiple samples; The data processing and monitoring module includes a central processing unit and a display alarm system, and the data processing and monitoring module is used to analyze and process dust concentration data and trigger an alarm when the dust concentration exceeds the standard; The signal amplification and filtering module has an automatic temperature compensation function, which is used to reduce the impact of temperature fluctuations in coal mines on signal amplification. The specific calculation formula for temperature compensation is: Where: V out is the output voltage after temperature compensation, V in is the input voltage signal, K is the gain temperature coefficient of the device, T is the current temperature, T ref is the reference temperature, and β is the nonlinear adjustment coefficient.

2. A mining dust concentration monitoring system according to claim 1, characterized in that: The temperature compensation function also includes nonlinear compensation algorithms, dynamic response adjustment mechanisms, multivariable compensation systems and high-precision temperature sensors; The nonlinear compensation algorithm is used to process the nonlinear effect of temperature on signal amplification, especially to ensure the stability of signal amplification when the temperature changes drastically; The dynamic response adjustment mechanism is used to speed up the response of the temperature compensation system to rapid temperature changes and reduce the impact of compensation lag; The multivariable compensation system introduces an environmental humidity compensation function on the basis of temperature compensation to further reduce the interference of environmental factors on signal amplification; The high-precision temperature sensor is used to accurately measure the real-time temperature of the signal amplifier, and the accuracy of temperature measurement is ensured through regular calibration.

3. A mining dust concentration monitoring system according to claim 1, characterized in that: The analog-to-digital conversion module reduces quantization noise by averaging multiple samples, and uses a calibration algorithm to compensate for nonlinear errors of the sensor and the analog-to-digital conversion module.

4. A mining dust concentration monitoring system according to claim 1, characterized in that: The display alarm system includes a multi-level alarm mechanism, which triggers corresponding alarm signals according to different levels of dust concentration.

5. A mining dust concentration monitoring system according to claim 1, characterized in that: The multi-mode detection of the dust sensor module includes two modes: electrostatic induction and optical scattering detection, by fusing the data of the two modes.

6. The monitoring method of a mining dust concentration monitoring system according to claim 1, characterized in that: The method comprises the following steps: Step 1: Data collection: The dust concentration in the coal mine is detected in real time by a dust sensor module to generate an electrical signal. The dust sensor module comprises an electrostatic induction sensor and an optical scattering sensor, and the charge signal and optical signal of the dust are collected simultaneously by a multi-mode detection method; Step 2: Signal processing: The electrical signal is amplified and noise is filtered out through the signal amplification and filtering module. A temperature compensation mechanism is used during the amplification process. In addition to temperature compensation, dynamic compensation for ambient humidity is also performed during the amplification process. Step 3: Analog-to-digital conversion: convert the processed analog signal into a digital signal through an analog-to-digital conversion module; Step 4: Data analysis and alarm: Analyze the digital signal through the data processing and monitoring module, calculate the dust concentration value, trigger an alarm when the concentration exceeds the standard, record the dust concentration data in real time, and provide trend analysis and historical data playback functions.

7. The monitoring method of a mining dust concentration monitoring system according to claim 1, characterized in that: In the data analysis step, an artificial intelligence-based algorithm is used to perform fusion analysis on the multi-mode data collected by the sensor to calculate the dust concentration value.

8. The monitoring method of a mining dust concentration monitoring system according to claim 1, characterized in that: In the signal processing step, an adaptive filtering algorithm is used to filter out noise in the signal in real time.

9. The monitoring method of a mining dust concentration monitoring system according to claim 1, characterized in that: The analog-to-digital conversion module adopts multiple sampling and averaging technology and compensates for the nonlinear errors of the sensor and the analog-to-digital conversion module through a calibration algorithm.

10. The monitoring method of a mining dust concentration monitoring system according to claim 1, characterized in that: In the alarm step, when the dust concentration reaches a preset danger threshold, the system will automatically generate and send an alarm message to the remote monitoring center.

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