Coal mine gas safety intelligent inspection linkage analysis system

Abstract

The invention relates to the technical field of coal mine safety, in particular to a coal mine gas safety intelligent inspection linkage analysis system which comprises a sensor module, a manual inspection auxiliary module, a detection point module and a processing module. The sensor module is used for collecting part of situation characteristic indexes required by gas safety state evaluation; the manual inspection auxiliary module is used for monitoring the gas concentration in the monitoring area of the detection point through detection personnel; the detection point module is used for monitoring gas concentration information of a detection point; and the processing module is used for grading the gas safety state grade of the detection point based on the gas safety state grade judgment strategy. According to the invention, when the manual inspection auxiliary module is started, the work specification degree of an inspector during manual inspection is improved, so that the accuracy of manual auxiliary data is improved, the whole intelligent inspection system is continuously optimized after linkage analysis of the manual auxiliary data and the intelligent inspection data, and the accuracy of the analysis result of the whole system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of coal mine safety, and in particular to a coal mine gas safety intelligent inspection linkage analysis system. Background Art

[0002] Early coal mining mainly relied on manpower and used simple tools for digging. Due to the limitations of technology and equipment, early coal mining had high safety risks, low mining efficiency and limited output. With the advancement of the industrial revolution and the continuous development of technology, coal mining has gradually achieved mechanization, automation and intelligence. Modern coal mining widely uses mechanical equipment, such as fully mechanized mining, fully mechanized excavators, hydraulic supports, etc., which greatly improves mining efficiency and significantly improves safety levels.

[0003] In the process of coal mine safety production, gas accidents have always been an important factor affecting the life safety of underground personnel. In order to effectively prevent gas disasters, various gas prediction and early warning technologies have gradually been applied to coal mine safety management equipment. Accurate and effective gas prediction and early warning are of great significance to ensuring the safety of workers.

[0004] Among some existing coal mine gas safety intelligent inspection technologies, some inspection technologies are mainly based on intelligent inspection and supplemented by manual inspection to conduct coal mine gas safety detection. When the intelligent equipment is inspected, when some of them cannot or are difficult to achieve the expected inspection effect and when the working status of the intelligent inspection equipment is regularly checked, manual inspection is enabled, so that these equipment or areas that are difficult to intelligently inspect are timely checked and corresponding measures are taken, thereby improving the safety of coal mining. However, for manual inspection, its detection results are closely related to the degree of operation standardization of the inspector. If the inspector's operation standardization is low (such as improper operation such as failure to perform inspection at the designated inspection point), it will greatly affect the detection results, thereby increasing the possibility of safety accidents caused by excessive coal mine gas accumulation. At the same time, for some equipment, it is impossible to compare with the data of manual inspection in time. The untimely connection of such data also increases the danger to a certain extent, and if there is a problem with the equipment, it is difficult to find it in time, which will further increase the possibility of danger.

[0005] To sum up the above, the present invention proposes a coal mine gas safety intelligent patrol linkage analysis system, which improves the work standardization of inspectors during manual inspection and provides more accurate data when manual inspection is assisted by intelligent inspection, so as to continuously optimize the entire intelligent inspection system after the linkage analysis of manual inspection data and intelligent inspection data, and improve the accuracy of the analysis results of the entire system. Summary of the invention

[0006] To solve the above problems, the present invention provides a coal mine gas safety intelligent patrol linkage analysis system, which improves the work standardization of inspectors during manual inspections and provides more accurate data when manual inspections are assisted by intelligent patrols, facilitates the linkage analysis of manual inspection data and intelligent patrol data, and continuously optimizes the entire intelligent patrol system, thereby improving the accuracy of the analysis results of the entire system.

[0007] In order to achieve the above-mentioned object, the technical solution of the present invention is as follows: a coal mine gas safety intelligent inspection linkage analysis system, including a sensor module, a manual inspection auxiliary module, a detection point module and a processing module;

[0008] The sensor module is used to collect some situation characteristic indicators required for gas safety status assessment;

[0009] The manual inspection auxiliary module is used to monitor the gas concentration in the monitoring area of ​​the detection point through the inspector, obtain the manual monitoring auxiliary data of the detection point, and label the manual monitoring data accordingly according to the detection point number, and transmit its concentration and label information to the detection point module of the monitored detection point; it is also used to detect the working status of the intelligent inspection setting in the detection point;

[0010] The detection point module is used to monitor the gas concentration information of the detection point based on the intelligent sensor technology and collect the image information in the detection point area;

[0011] The detection point module includes an intelligent inspection unit, which is used to conduct further all-round unmanned monitoring of the coal mine underground through intelligent detection technology. The intelligent detection technology at least includes intelligent mechanical inspection technology and absorption spectrum detection technology;

[0012] The processing module is used to classify the gas safety status level of the detection point into A, B, C and D from high to low based on the gas safety status level judgment strategy; it is also used to judge whether the manual monitoring data of the detection point is available based on whether there is an image of the inspector in the detection point image. When the image of the inspector exists, the manual monitoring data is available and subsequent analysis and comparison are performed. When the image of the inspector does not exist or the completeness is less than a preset threshold, the manual monitoring data will not be subjected to subsequent analysis and comparison processing, and a reminder signal will be generated and transmitted to the detection point module of the detection point.

[0013] Furthermore, the gas safety status level judgment strategy includes:

[0014] Step 1: Quantitatively preprocess the collected situation characteristic index data samples to obtain the corresponding safety level; the situation characteristics include gas concentration, wind speed, gas pressure, coal seam permeability coefficient, gas outflow, dust content, gas extraction rate, coal seam gas content, electrical equipment integrity, ambient temperature, upper corner gas concentration, return air lane gas concentration and inlet gas concentration;

[0015] Step 2: The quantified indicators are used to determine the weight of each indicator through the hierarchical analysis method, and the data of the indicator layer are subjected to a first-level fuzzy comprehensive evaluation to obtain the first state evaluation value of each event in the criterion layer. The weight of each event in the criterion layer is obtained by the hierarchical analysis method, and a second-level fuzzy evaluation is performed on it to obtain the second situation evaluation value;

[0016] Step 3, determine the factor set and evaluation set. The factor set is determined according to the established safety situation characteristic indicator system, where the first-level indicator U0 = {gas combustion and explosion}, the second-level indicators U1, U2 = {gas accumulation, ignition source}, the third-level indicator U1m = {gas concentration, wind speed, gas pressure, coal seam permeability coefficient, gas outflow, dust content, coal seam gas content, corner gas concentration, return air lane gas concentration, air intake gas concentration}, U2n = {electrical equipment integrity, ambient temperature, gas extraction rate}, where m belongs to {1,2,3,4,5,6,7,8,9,10}, and n belongs to {1,2,3}; the evaluation set is divided into four evaluation level domains V = {A,B,C,D} according to the severity of the situation anomaly from low to high, and combined with different numerical ranges;

[0017] Step 4: Send the safety assessment level V = {A, B, C, D} data obtained in step 3 to the detection point module, and visualize the gas safety status level through the detection point module. At the same time, the detection point module transmits the gas safety status level data to the manual inspection auxiliary module in real time.

[0018] Furthermore, the detection point module also includes a gas detection unit, an image acquisition unit, a signal transmission unit and a prompt unit;

[0019] The gas detection unit is used to monitor the gas concentration of the detection point through the gas concentration sensor set in the detection point, and obtain non-manual monitoring data, and label the data accordingly according to the detection point number, and transmit the concentration and label information to the signal transmission unit;

[0020] An image acquisition unit, used for acquiring an image within a detection point and labeling the image accordingly according to the detection point number;

[0021] A signal transmission unit, used to upload the image data generated by the image acquisition unit to the processing module; and also used to transmit the image generated by the image acquisition unit and its label information to the processing module;

[0022] The prompt unit is used to display the indicator light of the corresponding color based on the gas safety factor level of the detection point; it is also used to display the working status of the detection point, whether it is normal.

[0023] Furthermore, in the prompt unit, a green light is on when the gas safety status level is A, a yellow light is on when the level is B, an orange light is on when the level is C, and a red light is on when the level is D.

[0024] Furthermore, the manual inspection auxiliary module is also used to receive the reminder signal transmitted by the processing module to the signal transmission unit to remind the inspection personnel to operate in a standardized manner.

[0025] Furthermore, the processing module is also used to determine whether a fault occurs in the manual inspection auxiliary module or in the detection point module based on a fault judgment strategy.

[0026] Furthermore, the fault strategy judgment includes, when the absolute value of the difference between the manual monitoring data and the intelligent patrol data of a detection point is greater than the allowable deviation value, comparing the safety factors of the two detection data with the preset fault safety factors respectively, and obtaining two absolute differences, a first difference and a second difference. When the first difference is less than the second difference, the detection point module fails and generates a first fault signal. When the first difference is greater than the second difference, the manual patrol auxiliary module fails and generates a second fault signal.

[0027] Furthermore, the manual inspection auxiliary module is also used to receive the first fault signal and the second fault signal, and based on the two signals, prompt the inspection personnel with two different patterns.

[0028] Furthermore, the processing module is also used to identify missing values ​​in the gas monitoring data based on the isnull function, and process the missing values ​​through interpolation.

[0029] Furthermore, the signal transmission unit is also used for real-time communication between the data information of the manual inspection auxiliary module and the data information of the processing module.

[0030] The above scheme has the following beneficial effects:

[0031] 1. This solution uses intelligent sensor technology through detection point modules to conduct real-time monitoring of multiple points in coal mines. At the same time, the intelligent inspection unit uses intelligent mechanical inspection technology and absorption spectrum detection technology to monitor the gas safety status in coal mines in real time. By using the above two methods in parallel, intelligent monitoring of the gas safety status of coal mines under normal circumstances can be achieved, thereby improving the inspection efficiency. At the same time, the manual inspection auxiliary module assists the intelligent inspection (detection point module), that is, regular inspection and fixed-point inspection of the working status of the intelligent detection equipment, to ensure that the entire intelligent detection system can operate normally for a long time. And through the on-site monitoring of the inspectors at the detection point, more comprehensive and accurate data can be obtained, thereby providing reliable support for the subsequent optimization of the data processing of the intelligent inspection at this point. At the same time, the system can also judge the validity of the manual monitoring data based on the image of the inspector in the image, further improving the reliability of the data and the intelligence level of the system; and the system also has a fault self-diagnosis function, which can determine whether the manual inspection auxiliary module or the detection point module has a fault, and generate a corresponding fault signal, which helps to discover and solve problems in time and ensure the stable operation of the system. At the same time, it can also prompt the inspectors through different pattern displays, making fault handling more convenient and efficient.

[0032] 2. This solution uses the signal transmission unit as a data transfer station to achieve real-time information exchange between the manual inspection auxiliary module, the detection point module and the processing module, so that the entire system can respond quickly to various changes, adjust the monitoring strategy and response measures in time, and improve the flexibility and response speed of the system.

[0033] 3. This solution collects images of the detection point area, determines the completeness of the inspector's image in the image, and immediately generates a reminder signal when the completeness is lower than the preset threshold. This timely warning mechanism can quickly attract the attention of relevant personnel, prompting them to take timely measures to rectify or strengthen monitoring, thereby effectively reducing potential safety hazards; through the processing module's verification and reminder functions for manual monitoring data, it can prompt inspectors to perform inspection tasks more standardizedly, reduce false alarms or omissions caused by human factors, and provide inspectors with real-time safety assessment results and warning information to help them better understand the safety status of underground gas in coal mines, optimize inspection processes and improve work efficiency, reduce the workload of inspectors, and improve monitoring efficiency.

[0034] 4. This scheme,identifies missing values ​​in gas monitoring data through the isnull function and processes them through interpolation,which can ensure the integrity and continuity of the data and avoid bias in the evaluation results caused by missing data.

[0035] 5. This solution, by integrating sensor modules, manual inspection auxiliary modules and detection point modules, can monitor the gas concentration and other relevant safety parameters in coal mines in an all-round and real-time manner. This multi-level monitoring method can significantly improve the accuracy and timeliness of gas safety monitoring, and effectively prevent the occurrence of safety accidents such as gas combustion and explosion. At the same time, a gas safety status level judgment strategy is adopted. Through quantitative preprocessing, hierarchical analysis method and fuzzy comprehensive evaluation methods, the collected situation feature data are intelligently analyzed to evaluate the level of gas safety status, which not only improves the accuracy of the evaluation, but also reduces the interference of human factors, making the evaluation results more objective and reliable.

[0036] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a flow chart of an embodiment of the coal mine gas safety intelligent inspection linkage analysis system of the present invention. DETAILED DESCRIPTION

[0038] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0040] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0041] The following is further described in detail through specific implementation methods:

[0042] Embodiment 1:

[0043] As attached Figure 1 As shown: A coal mine gas safety intelligent inspection linkage analysis system, including a sensor module, a manual inspection auxiliary module, a detection point module and a processing module;

[0044] The sensor module is used to collect some situation characteristic indicators required for gas safety factor assessment.

[0045] The manual inspection auxiliary module is used to monitor the gas concentration in the monitoring area of ​​the detection point by the inspector, obtain the manual monitoring auxiliary data of the detection point, and label the manual monitoring data accordingly according to the detection point number, and transmit its concentration and label information to the detection point module of the monitored detection point; it is also used to receive the reminder signal transmitted by the processing module to the signal transmission unit to remind the inspection personnel to operate in a standardized manner. It is also used to detect the working status of the intelligent inspection setting in the detection point.

[0046] The detection point module is used to monitor the gas concentration information of the detection point based on intelligent sensor technology and collect image information within the detection point area.

[0047] The detection point module includes an intelligent inspection unit, which is used to conduct further all-round unmanned monitoring of the coal mine underground through intelligent detection technology. The intelligent detection technology at least includes intelligent mechanical inspection technology and absorption spectrum detection technology.

[0048] The detection point module also includes a gas detection unit, an image acquisition unit, a signal transmission unit and a prompt unit.

[0049] The gas detection unit is used to monitor the gas concentration of the detection point through the gas concentration sensor set in the detection point, and obtain non-manual monitoring data, and label the data accordingly according to the detection point number, and transmit the concentration and label information to the signal transmission unit;

[0050] The image acquisition unit is used to acquire the image within the detection point and label the image accordingly according to the detection point number.

[0051] The signal transmission unit is used to upload the image data generated by the image acquisition unit to the processing module; and is also used to transmit the image generated by the image acquisition unit and its label information to the processing module.

[0052] The prompt unit is used to display the indicator light of the corresponding color based on the gas safety factor level of the detection point; it is also used to display the working status of the detection point, whether it is normal; when the gas safety status level is A, the green light is on, when the level is B, the yellow light is on, when the level is C, the orange light is on, and when the level is D, the red light is on.

[0053] By setting up a number of detection points in the mine and installing high-precision sensors at the detection points to monitor key parameters such as gas concentration and temperature in real time (including wind speed, gas pressure, coal seam permeability coefficient, gas outburst volume), real-time fixed-point unmanned detection can be achieved in the coal mine, and these data can be fed back to the central control monitoring platform on the ground. Although several detection points are set up for fixed-point monitoring, some areas between each detection point are still difficult to detect accurately. Therefore, on the basis of multi-point detection at the detection points, a robot inspection method can be adopted. The inspection robot is equipped with a high-definition camera, an infrared thermal imager and a multi-spectral imager. The high-definition camera is used to collect video and image information, and the infrared thermal imager can monitor the temperature of equipment facilities, cables and pipelines in real time; the multi-spectral imager is based on absorption spectrum detection technology to obtain the reflected or emitted light information of objects in multiple spectral bands, providing richer and more detailed data than traditional imaging, using light of a specific wavelength to illuminate the object and capture the reflected or emitted light, thereby recording data from multiple spectral bands from visible light to near infrared and even longer wavelengths. Gas (usually referring to combustible gases such as methane) has a specific infrared absorption spectrum, which is determined by the absorption characteristics of gas molecules to light at specific wavelengths. When light passes through a medium containing gas, the gas will absorb light of a specific wavelength that matches its absorption spectrum. This combination enables the inspection robot to observe the internal environment of the mine in a comprehensive and detailed manner, and further provides more accurate and comprehensive detection data to the central control platform on the ground. At the same time, an automatic inspection cycle is set for the inspection robot according to different actual conditions, such as once a week or once every two days, so as to ensure the real-time monitoring data of the detection center, and at the same time ensure the reliability of the monitoring data while reducing the operating cost as much as possible.

[0054] The processing module is used to classify the gas safety factor levels of the detection point into A, B, C and D from high to low based on the gas safety status level judgment strategy; it is also used to judge whether the manual monitoring data of the detection point is available based on whether there is an image of the inspector in the detection point image. When the image of the inspector exists, the manual monitoring data is available and subsequent analysis and comparison are performed. When the image of the inspector does not exist or the completeness is less than a preset threshold, the manual monitoring data will not be subjected to subsequent analysis and comparison processing, and a reminder signal will be generated and transmitted to the detection point module of the detection point.

[0055] For example, when the intelligent detection equipment at a certain detection point fails and the real-time data of the detection point cannot be collected and transmitted in time, the manual inspection auxiliary module is enabled to collect the coal mine safety status characteristic data of the detection point, and at the same time check the intelligent inspection equipment of the detection point, such as image acquisition devices, etc., record and upload the fault information to the terminal for quick processing. When regular manual auxiliary inspections are performed to ensure the normal operation of the intelligent inspection equipment, the auxiliary data collected manually is compared and analyzed with the intelligent inspection data measured at the corresponding detection point to determine the similarity between the two, so as to determine whether the detection point module is operating normally.

[0056] Gas safety status level judgment strategies include:

[0057] Step 1: Quantitatively preprocess the collected situation characteristic index data samples to obtain the corresponding safety level; the situation characteristics include gas concentration, wind speed, gas pressure, coal seam permeability coefficient, gas outflow, dust content, gas extraction rate, coal seam gas content, electrical equipment integrity, ambient temperature, upper corner gas concentration, return air lane gas concentration and inlet gas concentration;

[0058] Step 2: The quantified indicators are used to determine the weight of each indicator through the hierarchical analysis method, and the data of the indicator layer are subjected to a first-level fuzzy comprehensive evaluation to obtain the first state evaluation value of each event in the criterion layer. The weight of each event in the criterion layer is obtained by the hierarchical analysis method, and a second-level fuzzy evaluation is performed on it to obtain the second situation evaluation value;

[0059] Step 3, determine the factor set and evaluation set. The factor set is determined according to the established safety situation characteristic indicator system, where the first-level indicator U0 = {gas combustion and explosion}, the second-level indicators U1, U2 = {gas accumulation, fire source}, the third-level indicator U1m = {gas concentration, wind speed, gas pressure, coal seam permeability coefficient, gas outflow, dust content, coal seam gas content, corner gas concentration, return air lane gas concentration, air intake gas concentration}, U2n = {electrical equipment integrity, ambient temperature, gas extraction rate}, where m belongs to {1,2,3,4,5,6,7,8,9,10}, and n belongs to {1,2,3}; the evaluation set is divided into four evaluation level domains V = {A,B,C,D} according to the severity of the situation anomaly from low to high and combined with different numerical ranges;

[0060] Step 4: Send the safety assessment level V = {A, B, C, D} data obtained in step 3 to the detection point module, and visualize the gas safety status level through the detection point module. At the same time, the detection point module transmits the gas safety status level data to the manual inspection auxiliary module in real time.

[0061] At the same time, the signal transmission unit is also used for real-time communication between the data information of the manual inspection auxiliary module and the data information of the processing module, so as to quickly complete the information verification, improve work efficiency and ensure the timeliness of the data.

[0062] The specific implementation process is as follows: Install gas concentration sensors at key locations in coal mines (such as tunnels, working faces, etc.) to ensure that gas concentration data can be collected in real time. At the same time, configure other necessary sensors (such as wind speed, temperature, dust content, etc.) to collect comprehensive situation characteristic indicators. Install gas detection units, image acquisition units, signal transmission units and prompt units at each detection point to ensure that each unit can work normally and communicate with other parts of the system. Equip patrol personnel with necessary monitoring equipment and communication tools to ensure that they can accurately monitor gas concentration in the detection point area and can promptly receive and process reminder signals issued by the system.

[0063] When the inspectors arrive at a detection point, they detect the gas concentration in the area through the manual inspection auxiliary module, and use image analysis technology to detect whether there is an image of the inspector in the image to verify the availability of manual monitoring data. If the inspector's image does not exist or the completeness is lower than the preset threshold, the manual monitoring data will be ignored and the inspectors will be reminded whether the data is normal; if both the manual monitoring data and the intelligent monitoring data are normal, the two types of data will be pre-processed, and then together with the situation characteristic indicator data such as gas concentration, wind speed and dust content continuously collected by the sensor module, the corresponding gas safety status level (A, B, C or D) will be obtained based on the gas safety factor judgment strategy. When the gas safety status level is A, the green light will be on, when the level is B, the yellow light will be on, when the level is C, the orange light will be on, and when the level is D, the red light will be on to remind the inspectors to standardize operations or take corresponding measures.

[0064] The system should be regularly maintained and calibrated to ensure the normal operation of each module and the accuracy of the data. The collected data should be regularly analyzed to generate safety situation reports to provide a basis for safety management and decision-making in coal mines.

[0065] Embodiment 2:

[0066] As attached Figure 1As shown, the difference from Example 1 is that the processing module is also used to determine whether the manual inspection auxiliary module fails or the detection point module fails based on the fault judgment strategy. The fault strategy judgment includes that when the absolute value of the difference between the manual monitoring data and the intelligent inspection data of a detection point is greater than the allowable deviation value, the safety factors of the two detection data are compared with the preset fault safety factor to obtain two absolute differences, the first difference and the second difference. When the first difference is less than the second difference, the detection point module fails and generates a first fault signal. When the first difference is greater than the second difference, the manual inspection auxiliary module fails and generates a second fault signal.

[0067] The manual inspection auxiliary module is also used to receive the first fault signal and the second fault signal, and based on the two signals, prompt the inspection personnel with two different patterns.

[0068] The specific implementation process is as follows: when the processing module compares the manual monitoring data and the intelligent inspection data of the same detection point, it calculates the absolute value of the difference (|a|), and compares the calculated |a| with the preset allowable deviation value. If |a| is greater than the allowable deviation value, it indicates that there is a potential fault and further judgment is required. Otherwise, the normal working process is carried out. When |a| is greater than the allowable deviation value, the safety factors corresponding to the manual monitoring data and the intelligent inspection data are calculated respectively (recorded as S_manual and S_intelligent), and the two safety factors are compared with the preset fault safety factor (recorded as S_fault), and two absolute differences are obtained: the first difference (|S_manual-S_fault|) and the second difference (|S_intelligent-S_fault|). If the first difference is less than the second difference (|S_manual-S_fault|<|S_intelligent-S_fault|), it is determined that the detection point module has a fault and a first fault signal is generated. If the first difference is greater than the second difference (|S_manual-S_fault|>|S_intelligent-S_fault|), it is determined that the manual inspection auxiliary module has a fault and a second fault signal is generated. After the processing module generates the fault signal (first fault signal or second fault signal), it will be transmitted to the manual inspection auxiliary module, and the inspection personnel will be prompted with two different patterns (such as different colors, shapes or flashing modes) according to the signal type. These patterns should be designed to be intuitive and easy to distinguish so that inspectors can quickly identify and take appropriate measures. In addition, the preset allowable deviation values ​​and failure safety factors are derived from big data analysis and formulated in accordance with national standards to ensure that the preset allowable deviation values ​​and failure safety factors are reasonable and accurate to reduce the possibility of misjudgment or missed judgment.

[0069] Embodiment 3:

[0070] As attached Figure 1As shown, the difference from Example 2 is that the processing module is also used to identify missing values ​​in the gas monitoring data based on the isnull function, and process the missing values ​​by interpolation.

[0071] The specific implementation process is as follows: After identifying the missing values ​​in the gas monitoring data through the isnull function, the missing values ​​are processed through interpolation, where the interpolation method includes adjacent value interpolation and mean interpolation. Here, Lagrange interpolation is preferred to handle the missing values. Description: The basic principle of Lagrange interpolation is that for n known points on the plane, an n-1 degree polynomial can be found:

[0072] y=a0+a1x+a2x 2 +...+a n-1 x n-1

[0073] The coordinates of n points are (x1, y1), (x2, y2), ..., (x n ,y n ) into the polynomial function, we get:

[0074]

[0075] The Lagrange interpolation polynomial is obtained as:

[0076]

[0077] The Lagrange interpolation method is used to process the missing values ​​in the gas monitoring data sequence, and the 7 data before the missing values ​​are taken for modeling.

[0078] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A coal mine gas safety intelligent inspection linkage analysis system, characterized in that: It includes sensor module, manual inspection auxiliary module, detection point module and processing module; The sensor module is used to collect some situation characteristic indicators required for gas safety status assessment; The manual inspection auxiliary module is used to monitor the gas concentration in the monitoring area of ​​the detection point through the inspector, obtain the manual monitoring auxiliary data of the detection point, and label the manual monitoring data accordingly according to the detection point number, and transmit its concentration and label information to the detection point module of the monitored detection point; it is also used to detect the working status of the intelligent inspection setting in the detection point; The detection point module is used to monitor the gas concentration information of the detection point based on the intelligent sensor technology and collect the image information in the detection point area; The detection point module includes an intelligent inspection unit, which is used to conduct further all-round unmanned monitoring of the coal mine underground through intelligent detection technology. The intelligent mechanical detection technology at least includes intelligent mechanical inspection technology and absorption spectrum detection technology; The processing module is used to classify the gas safety status level of the detection point into A, B, C and D from high to low based on the gas safety status level judgment strategy; it is also used to judge whether the manual monitoring data of the detection point is available based on whether there is an image of the inspector in the detection point image. When the image of the inspector exists, the manual monitoring data is available and subsequent analysis and comparison are performed. When the image of the inspector does not exist or the completeness is less than a preset threshold, the manual monitoring data will not be subjected to subsequent analysis and comparison processing, and a reminder signal will be generated and transmitted to the detection point module of the detection point.

2. The coal mine gas safety intelligent inspection linkage analysis system according to claim 1 is characterized in that: Gas safety status level judgment strategies include: Step 1: Quantitatively preprocess the collected situation characteristic index data samples to obtain the corresponding safety level; the situation characteristics include gas concentration, wind speed, gas pressure, coal seam permeability coefficient, gas outflow, dust content, gas extraction rate, coal seam gas content, electrical equipment integrity, ambient temperature, upper corner gas concentration, return air lane gas concentration and inlet gas concentration; Step 2: The quantified indicators are used to determine the weight of each indicator through the hierarchical analysis method, and the data of the indicator layer are subjected to a first-level fuzzy comprehensive evaluation to obtain the first state evaluation value of each event in the criterion layer. The weight of each event in the criterion layer is obtained by the hierarchical analysis method, and a second-level fuzzy evaluation is performed on it to obtain the second situation evaluation value; Step 3, determine the factor set and evaluation set. The factor set is determined according to the established safety situation characteristic indicator system, where the first-level indicator U0 = {gas combustion and explosion}, the second-level indicators U1, U2 = {gas accumulation, ignition source}, the third-level indicator U1m = {gas concentration, wind speed, gas pressure, coal seam permeability coefficient, gas outflow, dust content, coal seam gas content, corner gas concentration, return air lane gas concentration, air intake gas concentration}, U2n = {electrical equipment integrity, ambient temperature, gas extraction rate}, where m belongs to {1,2,3,4,5,6,7,8,9,10}, and n belongs to {1,2,3}; the evaluation set is divided into four evaluation level domains V = {A,B,C,D} according to the severity of the situation anomaly from low to high, and combined with different numerical ranges; Step 4: Send the safety assessment level V = {A, B, C, D} data obtained in step 3 to the detection point module, and visualize the gas safety status level through the detection point module. At the same time, the detection point module transmits the gas safety status level data to the manual inspection auxiliary module in real time.

3. The coal mine gas safety intelligent inspection linkage analysis system according to claim 1 is characterized in that: The detection point module also includes a gas detection unit, an image acquisition unit, a signal transmission unit and a prompt unit; The gas detection unit is used to monitor the gas concentration of the detection point through the gas concentration sensor set in the detection point, and obtain non-manual monitoring data, and label the data accordingly according to the detection point number, and transmit the concentration and label information to the signal transmission unit; An image acquisition unit, used for acquiring an image within a detection point and labeling the image accordingly according to the detection point number; A signal transmission unit, used to upload the image data generated by the image acquisition unit to the processing module; It is also used to transmit the image generated by the image acquisition unit and its label information to the processing module; The prompt unit is used to display the indicator light of the corresponding color based on the gas safety factor level of the detection point; it is also used to display the working status of the detection point, whether it is normal.

4. The coal mine gas safety intelligent inspection linkage analysis system according to claim 3 is characterized in that: In the prompt unit, the green light is on when the gas safety status level is A, the yellow light is on when the level is B, the orange light is on when the level is C, and the red light is on when the level is D.

5. The coal mine gas safety intelligent inspection linkage analysis system according to claim 1 is characterized in that: The manual inspection auxiliary module is also used to receive the reminder signal transmitted by the processing module to the signal transmission unit to remind the inspection personnel to operate in a standardized manner.

6. The coal mine gas safety intelligent inspection linkage analysis system according to claim 1 is characterized in that: The processing module is also used to determine whether a fault occurs in the manual inspection auxiliary module or a fault occurs in the detection point module based on a fault judgment strategy.

7. The coal mine gas safety intelligent inspection linkage analysis system according to claim 6 is characterized in that: The fault strategy judgment includes, when the absolute value of the difference between the manual monitoring data and the intelligent patrol data of a detection point is greater than the allowable deviation value, the safety factors of the two detection data are compared with the preset fault safety factors respectively, and two absolute differences are obtained, the first difference and the second difference. When the first difference is less than the second difference, the detection point module fails and generates a first fault signal. When the first difference is greater than the second difference, the manual patrol auxiliary module fails and generates a second fault signal.

8. The coal mine gas safety intelligent inspection linkage analysis system according to claim 1 is characterized in that: The manual inspection auxiliary module is also used to receive the first fault signal and the second fault signal, and based on the two signals, prompt the inspection personnel with two different patterns.

9. The coal mine gas safety intelligent inspection linkage analysis system according to claim 1 is characterized in that: The processing module is also used to identify missing values ​​in gas monitoring data based on the isnull function and process the missing values ​​through interpolation.

10. The coal mine gas safety intelligent inspection linkage analysis system according to claim 1, characterized in that: The signal transmission unit is also used for real-time communication between the data information of the manual inspection auxiliary module and the data information of the processing module.

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