Mine safety risk monitoring and early warning system

Abstract

The present invention relates to the technical field of mine safety monitoring, and specifically to a mine safety risk monitoring and early warning system; the system comprises: an equipment fault diagnosis subsystem, a personnel monitoring subsystem, an early warning display subsystem and a cloud storage subsystem, wherein the equipment fault diagnosis subsystem comprises a ventilation equipment collection and analysis module and a drainage equipment collection and analysis module, and the personnel monitoring subsystem comprises a safety wearing monitoring module and a safety early warning sending module; the ventilation effect and drainage effect of the mine are collected and analyzed, and abnormal ventilation conditions and abnormal drainage conditions in the mine are obtained, which makes up for the deficiency of equipment monitoring in the mine in the current technology, improves the comprehensiveness and accuracy of the mine safety risk monitoring and early warning results, further avoids the occurrence of safety accidents caused by equipment reasons in the mine, timely helps relevant personnel to fully understand the safety hazards of the mine, and improves the timely response rate of abnormal situations in the mine.

Description

Technical Field

[0001] The present invention relates to the technical field of mine safety monitoring, and in particular to a mine safety risk monitoring and early warning system. Background Art

[0002] In the mining process, there are some easily overlooked but actual safety hazards and high-risk problems. The most easily overlooked are equipment failure, improper equipment maintenance and workers' safety awareness. Failure to regularly maintain and inspect equipment in mines may lead to equipment failure, mechanical performance degradation, and even accidents. Workers' safety awareness is not high, and they do not understand potential dangers and countermeasures well, which can easily lead to accidents. Therefore, the mine safety risk monitoring and early warning system is of great significance.

[0003] The current mine safety risk monitoring and early warning system usually monitors and warns the mountain conditions and gas environment conditions inside the mine, but ignores the monitoring of corresponding equipment and personnel in the mine, resulting in one-sided and erroneous results in the mine safety risk monitoring and early warning. It is impossible to fully understand the safety risks of the mine, and thus it is impossible to promptly know the abnormal conditions of the mine, and it is impossible to take timely and effective remedial measures, resulting in an increase in the incidence of safety accidents. Summary of the invention

[0004] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide a mine safety risk monitoring and early warning system.

[0005] The object of the present invention can be achieved by the following technical solutions: A mine safety risk monitoring and early warning system includes: an equipment fault diagnosis subsystem, a personnel monitoring subsystem, an early warning display subsystem and a cloud storage subsystem;

[0006] The equipment fault diagnosis subsystem includes a ventilation equipment collection and analysis module and a drainage equipment collection and analysis module;

[0007] The ventilation equipment collection and analysis module is used to collect ventilation parameters of each ventilation equipment in the mine, obtain ventilation parameters of each ventilation equipment in the mine, and thereby analyze and obtain each abnormal ventilation equipment corresponding to the mine, and send each abnormal ventilation equipment corresponding to the mine as ventilation abnormality warning information to the warning display subsystem;

[0008] Preferably, the ventilation parameters of each ventilation device in the mine are collected to obtain the ventilation parameters of each ventilation device in the mine, and the collection method is:

[0009] The images of the blades corresponding to the ventilation equipment in the mine are collected by the camera to obtain the images of the blades corresponding to the ventilation equipment in the mine, and the contours of the blades corresponding to the ventilation equipment in the mine are extracted from the images. The contours of the blades corresponding to the ventilation equipment in the mine are overlapped and compared with the blade contours of the corresponding ventilation equipment stored in the cloud storage subsystem to obtain the overlapped contours of the blades corresponding to the ventilation equipment in the mine, and obtain the overlapped areas of the blades corresponding to the ventilation equipment in the mine; at the same time, the contour areas of the blades corresponding to the ventilation equipment in the mine are obtained;

[0010] Match the overlap area of ​​each blade corresponding to each ventilation device in the mine with the outline area of ​​the blade of the corresponding ventilation device. If the overlap area of ​​a blade successfully matches the outline area of ​​the blade of the corresponding ventilation device, the blade is recorded as a qualified blade. In this way, the qualified blades corresponding to each ventilation device in the mine are counted, and their number is counted to obtain the number of qualified blades corresponding to each ventilation device in the mine;

[0011] The interior of the corresponding pipe of each ventilation device in the mine is irradiated by an X-ray detector, and the image is recorded by a radiographic film, so as to obtain the internal radiographic film of the corresponding pipe of each ventilation device in the mine, which is placed in a darkroom for corresponding processing to obtain the internal radiographic film of the corresponding pipe of each ventilation device in the mine, and then the internal grayscale value of the corresponding pipe of each ventilation device in the mine is extracted, the same grayscale value is classified, and the internal area of ​​each grayscale value in the corresponding pipe of each ventilation device in the mine is obtained, and the grayscale value interval corresponding to the set normal area is matched with the internal area of ​​each grayscale value in the corresponding pipe of each ventilation device in the mine to obtain each normal area of ​​the corresponding pipe of each ventilation device in the mine, which is eliminated to obtain each abnormal area of ​​the corresponding pipe of each ventilation device in the mine, and the area of ​​each abnormal area in the corresponding pipe of each ventilation device in the mine is obtained, and the abnormal total area of ​​the corresponding pipe of each ventilation device in the mine is obtained;

[0012] The working status of each monitor corresponding to each ventilation device in the mine is obtained, and the working status value of each monitor corresponding to each ventilation device in the mine is obtained by analysis;

[0013] Match the working state value of each monitor corresponding to each ventilation equipment in the mine with the working state value corresponding to the set qualified monitor. If the working state value of a monitor successfully matches the working state value corresponding to the set qualified monitor, the monitor is recorded as a qualified monitor, thereby obtaining the qualified monitors corresponding to each ventilation equipment in the mine, and counting their number to obtain the number of qualified monitors corresponding to each ventilation equipment in the mine;

[0014] The ventilation parameters of each ventilation device in the mine are composed of the number of qualified blades corresponding to each ventilation device in the mine, the total abnormal area of ​​the pipeline and the number of qualified monitors.

[0015] Preferably, the analysis method for each abnormal ventilation equipment corresponding to the mine is as follows:

[0016] Extract the number of qualified blades corresponding to each ventilation equipment in the mine from the ventilation parameters of each ventilation equipment in the mine i , the total abnormal area YS of the corresponding pipelines of each ventilation equipment in the mine i And the number of qualified monitors corresponding to each ventilation equipment in the mine GZ i ; i represents the number of each ventilation equipment, i=1,2,...,n, i is a positive integer, n represents the total number of ventilation equipment numbers;

[0017] Extract the number of blades corresponding to each ventilation device in the mine from the cloud storage subsystem ZH i and the number of monitors ZZ i ;

[0018] According to the formula Calculate the ventilation effect estimation index YG of each ventilation equipment in the mine i ; a1, a2, a3 are the set weight factors, and the value range of a1, a2, a3 is greater than 0 and less than 1;

[0019] The ventilation effect estimated index of each ventilation equipment in the mine is compared with the set ventilation effect estimated index threshold. If the ventilation effect estimated index of a ventilation equipment is less than the set ventilation effect estimated index threshold, the ventilation equipment is recorded as an abnormal ventilation equipment. In this way, the abnormal ventilation equipment corresponding to the mine is obtained through analysis.

[0020] The drainage equipment collection and analysis module is used to collect drainage parameters of each drainage equipment in the mine, obtain the drainage parameters of each drainage equipment in the mine, and thereby analyze and obtain each abnormal drainage equipment corresponding to the mine, and send each abnormal drainage equipment corresponding to the mine as drainage abnormality warning information to the warning display subsystem;

[0021] Preferably, the drainage parameters of each drainage device in the mine are collected to obtain the drainage parameters of each drainage device in the mine, and the collection method is:

[0022] The interior of the pump body corresponding to each drainage device in the mine is irradiated by an X-ray detector, and the image is recorded by a radiographic film, so as to obtain the internal radiographic film of the pump body corresponding to each drainage device in the mine, which is placed in a darkroom for corresponding processing to obtain the internal radiographic film of the pump body corresponding to each drainage device in the mine, and then the internal radiographic film model of the pump body corresponding to each drainage device in the mine is constructed based on the internal radiographic film of the pump body corresponding to each drainage device in the mine;

[0023] Extract the internal grayscale value of the pump body of each drainage device in the mine from the internal radiographic film model of the pump body of each drainage device in the mine, classify the same grayscale value, and obtain the internal area of ​​each grayscale value in the pump body of each drainage device in the mine, match the grayscale value interval corresponding to the set normal pump body area with the internal area of ​​each grayscale value in the pump body of each drainage device in the mine, and obtain each normal pump body area corresponding to each drainage device in the mine, remove it, and obtain each abnormal pump body area corresponding to each drainage device in the mine, obtain the volume of each abnormal pump body area corresponding to each drainage device in the mine, integrate it, and obtain the foreign body volume of the pump body of each drainage device in the mine;

[0024] Arrange detection points on the surface of the pump body corresponding to each drainage device in the mine to obtain the detection points of the pump body corresponding to each drainage device in the mine, and detect the temperature of each detection point on the pump body corresponding to each drainage device in the mine through a temperature sensor to obtain the temperature of each detection point on the pump body corresponding to each drainage device in the mine;

[0025] Match the temperature of each detection point on the pump body corresponding to each drainage device in the mine with the set reference temperature range of the pump body. If the temperature of a detection point successfully matches the set reference temperature range of the pump body, the detection point is recorded as a qualified temperature point, and the qualified temperature points of the pump body corresponding to each drainage device in the mine are obtained, so as to count the number of qualified temperature points on the pump body corresponding to each drainage device in the mine; and count the number of detection points on the pump body corresponding to each drainage device in the mine;

[0026] The expected pumping volume of the corresponding pumps of each drainage equipment in the mine is set, and then the actual pumping volume of the corresponding pumps of each drainage equipment in the mine is obtained through machine operation, and the difference is made to obtain the pumping volume difference of the corresponding pumps of each drainage equipment in the mine;

[0027] The drainage parameters of each drainage device in the mine are composed of the volume of foreign matter in the corresponding pump body of each drainage device in the mine, the number of qualified temperature points and the difference in water pumping volume of the pump.

[0028] Preferably, the analysis method for each abnormal drainage device corresponding to the mine is:

[0029] Extract the foreign body volume BV of the pump body corresponding to each drainage device in the mine from the drainage parameters of each drainage device in the mine j , the number of qualified temperature points WG j And the pump displacement difference CL j The number of detection points on the pump body corresponding to each drainage device in the mine is recorded as JC j ; j represents the number of each drainage equipment, j=1,2,...,m, j is a positive integer, and m represents the total number of drainage equipment numbers;

[0030] According to the formula Calculate the drainage prediction index PG of each drainage equipment in the mine j , a4, a5, a6 are the set weight factors, and the value range of a4, a5, a6 is greater than 0 and less than 1;

[0031] The drainage prediction index of each drainage device in the mine is compared with the set drainage prediction index threshold. If the drainage prediction index of a drainage device is less than the set drainage prediction index threshold, the drainage device is recorded as an abnormal drainage device. In this way, the abnormal drainage devices corresponding to the mine are obtained through analysis.

[0032] The personnel monitoring subsystem includes a safety wearing monitoring module and a safety warning sending module;

[0033] The safety wearing monitoring module is used to collect and identify the safety wearing parameters of each worker in the mine, and obtain the safety wearing parameters of each worker in the mine;

[0034] The safety warning sending module is used to obtain each abnormal wearing worker corresponding to the mine based on the safety wearing parameters of each worker in the mine, and send each abnormal wearing worker corresponding to the mine as abnormal wearing warning information to the warning display subsystem;

[0035] Preferably, the safety wearing parameters of each worker in the mine are collected and identified to obtain the safety wearing parameters of each worker in the mine. The collection and identification method is:

[0036] Extract the wearing parts of the safety tools corresponding to the workers in the mine from the cloud storage subsystem, and collect images of the wearing parts corresponding to the workers in the mine through the camera to obtain images of the wearing parts corresponding to the workers in the mine;

[0037] The parts where tools are worn are identified from the images of the parts corresponding to the tools worn by each worker in the mine, which are recorded as the worn parts, thereby obtaining the images of the parts corresponding to the tools worn by each worker in the mine. At the same time, the images of the parts corresponding to the tools worn by each worker in the mine are removed from the images of the parts corresponding to the tools worn by each worker in the mine, which are called the parts not worn, thereby obtaining the images of the parts not worn by each worker in the mine, and counting the number of the parts not worn and the number of the parts worn by each worker in the mine; at the same time, counting the number of the parts worn by the workers in the mine corresponding to the safety tools;

[0038] Extracting the contours of the parts that each worker in the mine has worn from the images of the parts that each worker in the mine has worn, and extracting the reference wearing images of the parts that each worker in the mine has worn from the cloud storage subsystem, and extracting the reference wearing images of the parts that each worker in the mine has worn from the reference wearing images of the parts that each worker in the mine has worn;

[0039] Extract the reference wearing contours of each worn part of each worker in the mine from the reference wearing images of each worn part of each worker in the mine, overlap and compare the contours of each worn part of each worker in the mine with the reference wearing contours of the corresponding worn part, obtain the overlap contours of each worn part of each worker in the mine, and obtain the area of ​​the overlap contours of each worn part of each worker in the mine, and at the same time obtain the area of ​​the reference wearing contours of each worn part of each worker in the mine, calculate the ratio of the area of ​​the overlap contours of each worn part of each worker in the mine to the area of ​​the overlap contours of the corresponding worn part, and obtain the overlap ratio of each worn part of each worker in the mine;

[0040] The overlap ratio of each worn part corresponding to each worker in the mine is compared with the set reference overlap ratio. If the overlap ratio of a worn part is less than the set reference overlap ratio, the worn part is recorded as an abnormal wearing part, and the abnormal wearing parts corresponding to each worker in the mine are obtained. The number of abnormal wearing parts corresponding to each worker in the mine is counted to obtain the number of abnormal wearing parts corresponding to each worker in the mine;

[0041] The number of non-wearing parts, the number of wearing parts and the number of abnormal wearing parts of each worker in the mine constitute the safety wearing parameters of each worker in the mine.

[0042] Preferably, the analysis method for each abnormal wearing worker corresponding to the mine is:

[0043] Extract the number of unworn parts of each worker in the mine from the safety wearing parameters of each worker in the mine f and the number of wearing locations PD f And the number of abnormal parts YC f; f represents the number of each worker, f=1,2,...,g, f is a positive integer, g represents the total number of worker numbers;

[0044] The number of corresponding safety tool wearing parts of workers in the mine is recorded as AD;

[0045] According to the formula Calculate the safety wear assessment index AQ of each worker in the mine f ; e is a natural constant, b1, b2, b3 are set weight factors, and the value ranges of b1, b2, b3 are all greater than 0 and less than 1;

[0046] The safety wearing assessment index of each worker in the mine is compared with the set safety wearing assessment index threshold. If the safety wearing assessment index of a worker is less than the set safety wearing assessment index threshold, the worker is recorded as an abnormal wearing worker, thereby obtaining the abnormal wearing workers corresponding to the mine.

[0047] The warning display subsystem is used to receive corresponding warning information and perform corresponding warning processing;

[0048] Preferably, the warning display subsystem is used to receive corresponding warning information and perform corresponding warning processing, specifically:

[0049] Extract each abnormal ventilation device corresponding to the mine in the abnormal ventilation warning information, and display the abnormal ventilation of each abnormal ventilation device on the display end;

[0050] Extract each abnormal drainage device corresponding to the mine in the abnormal drainage warning information, and display the abnormal drainage of each abnormal drainage device on the display end;

[0051] Extract the abnormal wearing workers corresponding to the mine in the abnormal wearing warning information, and display the abnormal wearing workers on the display end.

[0052] The cloud storage subsystem is used to store the outlines of blades corresponding to each ventilation device in the mine, store the number of blades and the number of monitors corresponding to each ventilation device in the mine, store the wearing positions of safety tools corresponding to workers in the mine, and store reference wearing images of workers in the mine corresponding to each wearing position.

[0053] Beneficial effects of the present invention:

[0054] The present invention collects and analyzes the ventilation effects of ventilation equipment and the drainage effects of drainage equipment in mines, and can further analyze the abnormal conditions of ventilation equipment and drainage equipment in mines, thereby making up for the shortcomings of current technology in equipment monitoring in mines, improving the comprehensiveness and accuracy of mine safety risk monitoring and early warning results, and to a certain extent can avoid the occurrence of safety accidents caused by equipment in mines, and can promptly help relevant personnel to fully understand the safety hazards of mines, and improve the timely response rate of abnormal situations in mines.

[0055] The present invention identifies and analyzes the wearing conditions of safety tools of workers in mines, and further analyzes the abnormal wearing conditions of workers in mines, so as to provide corresponding reminder information to workers in a timely and accurate manner, effectively alleviating the lack of safety awareness of workers and reducing the probability of safety accidents of workers to the greatest extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The present invention will be further described below in conjunction with the accompanying drawings.

[0057] Figure 1 It is a schematic diagram of system module connection of the present invention. DETAILED DESCRIPTION

[0058] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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.

[0059] See also Figure 1 As shown, the present invention is a mine safety risk monitoring and early warning system, including: an equipment fault diagnosis subsystem, a personnel monitoring subsystem, an early warning display subsystem and a cloud storage subsystem, wherein the equipment fault diagnosis subsystem includes a ventilation equipment collection and analysis module and a drainage equipment collection and analysis module, and the personnel monitoring subsystem includes a safety wearing monitoring module and a safety early warning sending module;

[0060] The equipment fault diagnosis subsystem includes a ventilation equipment collection and analysis module and a drainage equipment collection and analysis module;

[0061] The ventilation equipment collection and analysis module is used to collect ventilation parameters of each ventilation equipment in the mine, obtain ventilation parameters of each ventilation equipment in the mine, and analyze and obtain each abnormal ventilation equipment corresponding to the mine, and send each abnormal ventilation equipment corresponding to the mine as ventilation abnormality warning information to the warning display subsystem;

[0062] The ventilation parameters of each ventilation equipment in the mine are collected to obtain the ventilation parameters of each ventilation equipment in the mine. The collection method is:

[0063] The images of the blades corresponding to the ventilation equipment in the mine are collected by the camera to obtain the images of the blades corresponding to the ventilation equipment in the mine, and the contours of the blades corresponding to the ventilation equipment in the mine are extracted from the images. The contours of the blades corresponding to the ventilation equipment in the mine are overlapped and compared with the blade contours of the corresponding ventilation equipment stored in the cloud storage subsystem to obtain the overlapped contours of the blades corresponding to the ventilation equipment in the mine, and obtain the overlapped areas of the blades corresponding to the ventilation equipment in the mine; at the same time, the contour areas of the blades corresponding to the ventilation equipment in the mine are obtained;

[0064] Match the overlap area of ​​each blade corresponding to each ventilation device in the mine with the outline area of ​​the blade of the corresponding ventilation device. If the overlap area of ​​a blade successfully matches the outline area of ​​the blade of the corresponding ventilation device, the blade is recorded as a qualified blade. In this way, the qualified blades corresponding to each ventilation device in the mine are counted, and their number is counted to obtain the number of qualified blades corresponding to each ventilation device in the mine;

[0065] The interior of the corresponding pipe of each ventilation device in the mine is irradiated by an X-ray detector, and the image is recorded by a radiographic film, so as to obtain the internal radiographic film of the corresponding pipe of each ventilation device in the mine, which is placed in a darkroom for corresponding processing to obtain the internal radiographic film of the corresponding pipe of each ventilation device in the mine, and then the internal grayscale value of the corresponding pipe of each ventilation device in the mine is extracted, the same grayscale value is classified, and the internal area of ​​each grayscale value in the corresponding pipe of each ventilation device in the mine is obtained, and the grayscale value interval corresponding to the set normal area is matched with the internal area of ​​each grayscale value in the corresponding pipe of each ventilation device in the mine to obtain each normal area of ​​the corresponding pipe of each ventilation device in the mine, which is eliminated to obtain each abnormal area of ​​the corresponding pipe of each ventilation device in the mine, and the area of ​​each abnormal area in the corresponding pipe of each ventilation device in the mine is obtained, and the abnormal total area of ​​the corresponding pipe of each ventilation device in the mine is obtained;

[0066] The working status of each monitor corresponding to each ventilation equipment in the mine is obtained, and the working status of each monitor corresponding to each ventilation equipment in the mine is obtained. If the working status of a monitor is on, the working status value of the monitor is assigned to 2; if the working status of a monitor is off, the working status value of the monitor is assigned to 1. In this way, the working status value of each monitor corresponding to each ventilation equipment in the mine is obtained by analysis;

[0067] Match the working state value of each monitor corresponding to each ventilation equipment in the mine with the working state value corresponding to the set qualified monitor. If the working state value of a monitor successfully matches the working state value corresponding to the set qualified monitor, the monitor is recorded as a qualified monitor, thereby obtaining the qualified monitors corresponding to each ventilation equipment in the mine, and counting their number to obtain the number of qualified monitors corresponding to each ventilation equipment in the mine;

[0068] It should be noted that the monitors include but are not limited to: gas monitors, temperature monitors, and humidity monitors. At the same time, the working state value corresponding to the qualified monitor is set to 2.

[0069] The ventilation parameters of each ventilation device in the mine are composed of the number of qualified blades corresponding to each ventilation device in the mine, the total abnormal area of ​​the pipeline and the number of qualified monitors.

[0070] The analysis method for each abnormal ventilation equipment corresponding to the mine is as follows:

[0071] Extract the number of qualified blades corresponding to each ventilation equipment in the mine from the ventilation parameters of each ventilation equipment in the mine i , the total abnormal area YS of the corresponding pipelines of each ventilation equipment in the mine i And the number of qualified monitors corresponding to each ventilation equipment in the mine GZ i ; i represents the number of each ventilation equipment, i=1,2,...,n, i is a positive integer, n represents the total number of ventilation equipment numbers;

[0072] Extract the number of blades corresponding to each ventilation device in the mine from the cloud storage subsystem ZH i and the number of monitors ZZ i ;

[0073] According to the formula Calculate the ventilation effect estimation index YG of each ventilation equipment in the mine i ; a1, a2, a3 are the set weight factors, and the value range of a1, a2, a3 is greater than 0 and less than 1;

[0074] It should be noted that the total abnormal area of ​​the pipeline corresponding to each ventilation equipment in the mine is normalized and its value is taken, which is then substituted into the ventilation effect estimation index formula of each ventilation equipment in the mine for calculation. All data in the subsequent documents submitted by the present invention are normalized and their values ​​are taken, and then substituted into the corresponding formula for calculation.

[0075] The ventilation effect estimated index of each ventilation equipment in the mine is compared with the set ventilation effect estimated index threshold. If the ventilation effect estimated index of a ventilation equipment is less than the set ventilation effect estimated index threshold, the ventilation equipment is recorded as an abnormal ventilation equipment. In this way, the abnormal ventilation equipment corresponding to the mine is obtained through analysis.

[0076] The drainage equipment collection and analysis module is used to collect the drainage parameters of each drainage equipment in the mine, obtain the drainage parameters of each drainage equipment in the mine, and analyze the corresponding abnormal drainage equipment of the mine, and send the corresponding abnormal drainage equipment of the mine as drainage abnormality warning information to the warning display subsystem;

[0077] The drainage parameters of each drainage device in the mine are collected to obtain the drainage parameters of each drainage device in the mine. The collection method is:

[0078] The interior of the pump body corresponding to each drainage device in the mine is irradiated by an X-ray detector, and the image is recorded by a radiographic film, so as to obtain the internal radiographic film of the pump body corresponding to each drainage device in the mine, which is placed in a darkroom for corresponding processing to obtain the internal radiographic film of the pump body corresponding to each drainage device in the mine, and then the internal radiographic film model of the pump body corresponding to each drainage device in the mine is constructed based on the internal radiographic film of the pump body corresponding to each drainage device in the mine;

[0079] Extract the internal grayscale value of the pump body of each drainage device in the mine from the internal radiographic film model of the pump body of each drainage device in the mine, classify the same grayscale value, and obtain the internal area of ​​each grayscale value in the pump body of each drainage device in the mine, match the grayscale value interval corresponding to the set normal pump body area with the internal area of ​​each grayscale value in the pump body of each drainage device in the mine, and obtain each normal pump body area corresponding to each drainage device in the mine, remove it, and obtain each abnormal pump body area corresponding to each drainage device in the mine, obtain the volume of each abnormal pump body area corresponding to each drainage device in the mine, integrate it, and obtain the foreign body volume of the pump body of each drainage device in the mine;

[0080] Arrange detection points on the surface of the pump body corresponding to each drainage device in the mine to obtain the detection points of the pump body corresponding to each drainage device in the mine, and detect the temperature of each detection point on the pump body corresponding to each drainage device in the mine through a temperature sensor to obtain the temperature of each detection point on the pump body corresponding to each drainage device in the mine;

[0081] Match the temperature of each detection point on the pump body corresponding to each drainage device in the mine with the set reference temperature range of the pump body. If the temperature of a detection point successfully matches the set reference temperature range of the pump body, the detection point is recorded as a qualified temperature point, and the qualified temperature points of the pump body corresponding to each drainage device in the mine are obtained, so as to count the number of qualified temperature points on the pump body corresponding to each drainage device in the mine; and count the number of detection points on the pump body corresponding to each drainage device in the mine;

[0082] The expected pumping volume of the corresponding pumps of each drainage equipment in the mine is set, and then the actual pumping volume of the corresponding pumps of each drainage equipment in the mine is obtained through machine operation, and the difference is made to obtain the pumping volume difference of the corresponding pumps of each drainage equipment in the mine;

[0083] The drainage parameters of each drainage device in the mine are composed of the volume of foreign matter in the corresponding pump body of each drainage device in the mine, the number of qualified temperature points and the difference in water pumping volume of the pump.

[0084] The analysis method for each abnormal drainage device corresponding to the mine is as follows:

[0085] Extract the foreign body volume BV of the pump body corresponding to each drainage device in the mine from the drainage parameters of each drainage device in the mine j , the number of qualified temperature points WG j And the pump displacement difference CL j The number of detection points on the pump body corresponding to each drainage device in the mine is recorded as JC j ; j represents the number of each drainage equipment, j=1,2,...,m, j is a positive integer, and m represents the total number of drainage equipment numbers;

[0086] According to the formula Calculate the drainage prediction index PG of each drainage equipment in the mine j , a4, a5, a6 are the set weight factors, and the value range of a4, a5, a6 is greater than 0 and less than 1;

[0087] The drainage prediction index of each drainage device in the mine is compared with the set drainage prediction index threshold. If the drainage prediction index of a drainage device is less than the set drainage prediction index threshold, the drainage device is recorded as an abnormal drainage device. In this way, the abnormal drainage devices corresponding to the mine are obtained through analysis.

[0088] The personnel monitoring subsystem includes a safety wear monitoring module and a safety warning sending module;

[0089] The safety wearing monitoring module is used to collect and identify the safety wearing parameters of each worker in the mine, and obtain the safety wearing parameters of each worker in the mine;

[0090] The safety warning sending module is used to obtain the abnormal wearing workers corresponding to the mine based on the safety wearing parameters of each worker in the mine, and send the abnormal wearing workers corresponding to the mine as abnormal wearing warning information to the warning display subsystem;

[0091] The safety wearing parameters of each worker in the mine are collected and identified to obtain the safety wearing parameters of each worker in the mine. The collection and identification method is as follows:

[0092] Extract the wearing parts of the safety tools corresponding to the workers in the mine from the cloud storage subsystem, and collect images of the wearing parts corresponding to the workers in the mine through the camera to obtain images of the wearing parts corresponding to the workers in the mine;

[0093] The parts where tools are worn are identified from the images of the parts corresponding to the tools worn by each worker in the mine, which are recorded as the worn parts, thereby obtaining the images of the parts corresponding to the tools worn by each worker in the mine. At the same time, the images of the parts corresponding to the tools worn by each worker in the mine are removed from the images of the parts corresponding to the tools worn by each worker in the mine, which are called the parts not worn, thereby obtaining the images of the parts not worn by each worker in the mine, and counting the number of the parts not worn and the number of the parts worn by each worker in the mine; at the same time, counting the number of the parts worn by the workers in the mine corresponding to the safety tools;

[0094] Extracting the contours of the parts that each worker in the mine has worn from the images of the parts that each worker in the mine has worn, and extracting the reference wearing images of the parts that each worker in the mine has worn from the cloud storage subsystem, and extracting the reference wearing images of the parts that each worker in the mine has worn from the reference wearing images of the parts that each worker in the mine has worn;

[0095] Extract the reference wearing contours of each worn part of each worker in the mine from the reference wearing images of each worn part of each worker in the mine, overlap and compare the contours of each worn part of each worker in the mine with the reference wearing contours of the corresponding worn part, obtain the overlap contours of each worn part of each worker in the mine, and obtain the area of ​​the overlap contours of each worn part of each worker in the mine, and at the same time obtain the area of ​​the reference wearing contours of each worn part of each worker in the mine, calculate the ratio of the area of ​​the overlap contours of each worn part of each worker in the mine to the area of ​​the overlap contours of the corresponding worn part, and obtain the overlap ratio of each worn part of each worker in the mine;

[0096] The overlap ratio of each worn part corresponding to each worker in the mine is compared with the set reference overlap ratio. If the overlap ratio of a worn part is less than the set reference overlap ratio, the worn part is recorded as an abnormal wearing part, and the abnormal wearing parts corresponding to each worker in the mine are obtained. The number of abnormal wearing parts corresponding to each worker in the mine is counted to obtain the number of abnormal wearing parts corresponding to each worker in the mine;

[0097] The number of non-wearing parts, the number of wearing parts and the number of abnormal wearing parts of each worker in the mine constitute the safety wearing parameters of each worker in the mine.

[0098] The analysis method for each abnormal wearing worker in the mine is as follows:

[0099] Extract the number of unworn parts of each worker in the mine from the safety wearing parameters of each worker in the mine f and the number of wearing locations PD f And the number of abnormal parts YC f ; f represents the number of each worker, f=1,2,...,g, f is a positive integer, g represents the total number of worker numbers;

[0100] The number of corresponding safety tool wearing parts of workers in the mine is recorded as AD;

[0101] According to the formula Calculate the safety wear assessment index AQ of each worker in the mine f ; e is a natural constant, b1, b2, b3 are set weight factors, and the value ranges of b1, b2, b3 are all greater than 0 and less than 1;

[0102] The safety wearing assessment index of each worker in the mine is compared with the set safety wearing assessment index threshold. If the safety wearing assessment index of a worker is less than the set safety wearing assessment index threshold, the worker is recorded as an abnormal wearing worker, thereby obtaining the abnormal wearing workers corresponding to the mine.

[0103] The early warning display subsystem is used to receive corresponding early warning information and perform corresponding early warning processing;

[0104] Extract each abnormal ventilation device corresponding to the mine in the ventilation abnormality warning information, and display the ventilation abnormality of each abnormal ventilation device on the display end;

[0105] In a specific embodiment, ventilation abnormality is displayed for each abnormal ventilation device, specifically: "Warning! Warning! The following ventilation devices have ventilation abnormalities, please handle them in time!" Wherein: "The following devices" is specifically the number of the abnormal ventilation device. Its number is displayed in the ventilation device, and the abnormal ventilation device number is set based on the ventilation device number.

[0106] Extract each abnormal drainage device corresponding to the mine in the abnormal drainage warning information, and display the abnormal drainage of each abnormal drainage device on the display end;

[0107] In a specific embodiment, drainage abnormality is displayed for each abnormal drainage device, specifically: "Warning! Warning! The following drainage devices have drainage abnormalities, please handle them in time!" Wherein: "The following devices" is specifically the number of the abnormal drainage device. Its number is displayed in the drainage device, and the number of the abnormal drainage device is set based on the drainage device number.

[0108] Extract the abnormal wearing workers corresponding to the mine in the abnormal wearing warning information, and display the abnormal wearing workers on the display end.

[0109] In a specific embodiment, an abnormal display is made for each worker wearing the safety tools abnormally, specifically: "Attention! Attention! The following workers are wearing safety tools abnormally, please remind them in time!" Among them, "the following workers" are specifically the numbers of the workers wearing the safety tools abnormally, and their numbers are displayed in the worker numbers, and the abnormal worker numbers are set based on the worker numbers.

[0110] The cloud storage subsystem is used to store the outlines of the blades corresponding to each ventilation device in the mine, store the number of blades and the number of monitors corresponding to each ventilation device in the mine, store the wearing positions of the safety tools corresponding to the workers in the mine, and store the reference wearing images of the workers in the mine corresponding to each wearing position.

[0111] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined in the documents submitted for the present invention, they should all fall within the protection scope of the present invention.

Claims

1. Mine safety risk monitoring and early warning system, characterized by: include: Equipment fault diagnosis subsystem, personnel monitoring subsystem, early warning display subsystem and cloud storage subsystem; The equipment fault diagnosis subsystem includes a ventilation equipment collection and analysis module and a drainage equipment collection and analysis module; The ventilation equipment acquisition and analysis module is used to acquire ventilation parameters of each ventilation equipment in the mine, and obtain ventilation parameters of each ventilation equipment in the mine: acquire images of each blade corresponding to each ventilation equipment in the mine through a camera, and obtain images of each blade corresponding to each ventilation equipment in the mine, and extract contours of each blade corresponding to each ventilation equipment in the mine, and compare and overlap contours of each blade corresponding to each ventilation equipment in the mine with the blade contours of the corresponding ventilation equipment stored in the cloud storage subsystem, and obtain overlap contours of each blade corresponding to each ventilation equipment in the mine, and obtain overlap areas of each blade corresponding to each ventilation equipment in the mine; and simultaneously obtain the contour areas of the stored blades corresponding to each ventilation equipment in the mine; Match the overlap area of ​​each blade corresponding to each ventilation device in the mine with the outline area of ​​the blade of the corresponding ventilation device. If the overlap area of ​​a blade successfully matches the outline area of ​​the blade of the corresponding ventilation device, the blade is recorded as a qualified blade. In this way, the qualified blades corresponding to each ventilation device in the mine are counted, and their number is counted to obtain the number of qualified blades corresponding to each ventilation device in the mine; The inside of the corresponding pipes of each ventilation device in the mine is irradiated by an X-ray detector, and the total abnormal area of ​​the corresponding pipes of each ventilation device in the mine is obtained through corresponding analysis; The working status of each monitor corresponding to each ventilation device in the mine is obtained, and the working status value of each monitor corresponding to each ventilation device in the mine is obtained through corresponding analysis; Match the working state value of each monitor corresponding to each ventilation equipment in the mine with the working state value corresponding to the set qualified monitor. If the working state value of a monitor successfully matches the working state value corresponding to the set qualified monitor, the monitor is recorded as a qualified monitor, thereby obtaining the qualified monitors corresponding to each ventilation equipment in the mine, and counting their number to obtain the number of qualified monitors corresponding to each ventilation equipment in the mine; The ventilation parameters of each ventilation device in the mine are composed of the number of qualified blades corresponding to each ventilation device in the mine, the total abnormal area of ​​the pipeline, and the number of qualified monitors; The corresponding abnormal ventilation equipment in the mine is obtained by analysis: the number of qualified blades corresponding to each ventilation equipment in the mine is extracted from the ventilation parameters of each ventilation equipment in the mine. i , the total abnormal area YS of the corresponding pipelines of each ventilation equipment in the mine i And the number of qualified monitors corresponding to each ventilation equipment in the mine GZ i ; i represents the number of each ventilation equipment, i = 1, 2, ..., n, i is a positive integer, n represents the total number of ventilation equipment numbers; Extract the number of blades corresponding to each ventilation device in the mine from the cloud storage subsystem ZH i and the number of monitors ZZ i ; According to the formula Calculate the ventilation effect estimation index YG of each ventilation equipment in the mine i ; a1, a2, a3 are the set weight factors, and the value range of a1, a2, a3 is greater than 0 and less than 1; The ventilation effect estimation index of each ventilation device in the mine is compared with the set ventilation effect estimation index threshold. If the ventilation effect estimation index of a ventilation device is less than the set ventilation effect estimation index threshold, the ventilation device is recorded as an abnormal ventilation device. By analyzing this, the abnormal ventilation devices corresponding to the mine are obtained. Send the abnormal ventilation equipment corresponding to the mine as abnormal ventilation warning information to the warning display subsystem; The drainage equipment collection and analysis module is used to collect drainage parameters of each drainage equipment in the mine to obtain drainage parameters of each drainage equipment in the mine: irradiate the inside of the pump body corresponding to each drainage equipment in the mine through an X-ray detector, and obtain the foreign body volume of the pump body corresponding to each drainage equipment in the mine through corresponding analysis; Arrange detection points on the surface of the pump body corresponding to each drainage device in the mine to obtain the detection points of the pump body corresponding to each drainage device in the mine, and detect the temperature of each detection point on the pump body corresponding to each drainage device in the mine through a temperature sensor to obtain the temperature of each detection point on the pump body corresponding to each drainage device in the mine; Match the temperature of each detection point on the pump body corresponding to each drainage device in the mine with the set reference temperature range of the pump body. If the temperature of a detection point successfully matches the set reference temperature range of the pump body, the detection point is recorded as a qualified temperature point, and the qualified temperature points of the pump body corresponding to each drainage device in the mine are obtained, so as to count the number of qualified temperature points on the pump body corresponding to each drainage device in the mine; and count the number of detection points on the pump body corresponding to each drainage device in the mine; The expected pumping volume of the corresponding pumps of each drainage equipment in the mine is set, and then the actual pumping volume of the corresponding pumps of each drainage equipment in the mine is obtained through machine operation, and the difference is made to obtain the pumping volume difference of the corresponding pumps of each drainage equipment in the mine; The drainage parameters of each drainage device in the mine are composed of the volume of foreign matter in the corresponding pump body, the number of qualified temperature points and the difference in pumping volume of the pump; The corresponding abnormal drainage equipment of the mine is obtained by analysis: the foreign body volume BV of the pump body corresponding to each drainage equipment in the mine is extracted from the drainage parameters of each drainage equipment in the mine j , the number of qualified temperature points WG j And the pump displacement difference CL j The number of detection points on the pump body corresponding to each drainage device in the mine is recorded as JC j ; j represents the number of each drainage equipment, j = 1, 2, ..., m, j is a positive integer, and m represents the total number of drainage equipment numbers; According to the formula Calculate the drainage prediction index PG of each drainage equipment in the mine j , a4, a5, a6 are the set weight factors, and the value range of a4, a5, a6 is greater than 0 and less than 1; Compare the drainage prediction index of each drainage device in the mine with the set drainage prediction index threshold. If the drainage prediction index of a drainage device is less than the set drainage prediction index threshold, the drainage device is recorded as an abnormal drainage device. In this way, the abnormal drainage devices corresponding to the mine are obtained through analysis. Send the abnormal drainage equipment corresponding to the mine as abnormal drainage warning information to the warning display subsystem; The personnel monitoring subsystem includes a safety wearing monitoring module and a safety warning sending module; The safety wearing monitoring module is used to collect and identify the safety wearing parameters of each worker in the mine, and obtain the safety wearing parameters of each worker in the mine; The safety warning sending module is used to obtain each abnormal wearing worker corresponding to the mine based on the safety wearing parameters of each worker in the mine, and send each abnormal wearing worker corresponding to the mine as abnormal wearing warning information to the warning display subsystem; The warning display subsystem is used to receive corresponding warning information and perform corresponding warning processing; The cloud storage subsystem is used to store the outlines of blades corresponding to each ventilation device in the mine, store the number of blades and the number of monitors corresponding to each ventilation device in the mine, store the wearing positions of safety tools corresponding to workers in the mine, and store reference wearing images of workers in the mine corresponding to each wearing position.

2. The mine safety risk monitoring and early warning system according to claim 1 is characterized in that: The safety wearing parameters of each worker in the mine are collected and identified to obtain the safety wearing parameters of each worker in the mine. The collection and identification method is: Extract the wearing parts of the safety tools corresponding to the workers in the mine from the cloud storage subsystem, and collect images of the wearing parts corresponding to the workers in the mine through the camera to obtain images of the wearing parts corresponding to the workers in the mine; The parts where tools are worn are identified from the images of the parts corresponding to the tools worn by each worker in the mine, which are recorded as the worn parts, thereby obtaining the images of the parts corresponding to the tools worn by each worker in the mine. At the same time, the images of the parts corresponding to the tools worn by each worker in the mine are removed from the images of the parts corresponding to the tools worn by each worker in the mine, which are called the parts not worn, thereby obtaining the images of the parts not worn by each worker in the mine, and counting the number of the parts not worn and the number of the parts worn by each worker in the mine; at the same time, counting the number of the parts worn by the workers in the mine corresponding to the safety tools; Extracting the contours of the parts that each worker in the mine has worn from the images of the parts that each worker in the mine has worn, and extracting the reference wearing images of the parts that each worker in the mine has worn from the cloud storage subsystem, and extracting the reference wearing images of the parts that each worker in the mine has worn from the reference wearing images of the parts that each worker in the mine has worn; Extract the reference wearing contours of each worn part of each worker in the mine from the reference wearing images of each worn part of each worker in the mine, overlap and compare the contours of each worn part of each worker in the mine with the reference wearing contours of the corresponding worn part, obtain the overlap contours of each worn part of each worker in the mine, and obtain the area of ​​the overlap contours of each worn part of each worker in the mine, and at the same time obtain the area of ​​the reference wearing contours of each worn part of each worker in the mine, calculate the ratio of the area of ​​the overlap contours of each worn part of each worker in the mine to the area of ​​the overlap contours of the corresponding worn part, and obtain the overlap ratio of each worn part of each worker in the mine; The overlap ratio of each worn part corresponding to each worker in the mine is compared with the set reference overlap ratio. If the overlap ratio of a worn part is less than the set reference overlap ratio, the worn part is recorded as an abnormal wearing part, and the abnormal wearing parts corresponding to each worker in the mine are obtained. The number of abnormal wearing parts corresponding to each worker in the mine is counted to obtain the number of abnormal wearing parts corresponding to each worker in the mine; The number of non-wearing parts, the number of wearing parts and the number of abnormal wearing parts of each worker in the mine constitute the safety wearing parameters of each worker in the mine.

3. The mine safety risk monitoring and early warning system according to claim 1 is characterized in that: The analysis method for each abnormal wearing worker corresponding to the mine is as follows: Extract the number of unworn parts of each worker in the mine from the safety wearing parameters of each worker in the mine f and the number of wearing locations PD f And the number of abnormal parts YC f ; f represents the number of each worker, f = 1, 2, ..., g, f is a positive integer, g represents the total number of worker numbers; The number of corresponding safety tool wearing parts of workers in the mine is recorded as AD; According to the formula Calculate the safety wear assessment index AQ of each worker in the mine f ; e is a natural constant, b1, b2, b3 are set weight factors, and the value ranges of b1, b2, b3 are all greater than 0 and less than 1; The safety wearing assessment index of each worker in the mine is compared with the set safety wearing assessment index threshold. If the safety wearing assessment index of a worker is less than the set safety wearing assessment index threshold, the worker is recorded as an abnormal wearing worker, thereby obtaining the abnormal wearing workers corresponding to the mine.

4. The mine safety risk monitoring and early warning system according to claim 1 is characterized in that: The warning display subsystem is used to receive corresponding warning information and perform corresponding warning processing, specifically: Extract each abnormal ventilation device corresponding to the mine in the abnormal ventilation warning information, and display the abnormal ventilation of each abnormal ventilation device on the display end; Extract each abnormal drainage device corresponding to the mine in the abnormal drainage warning information, and display the abnormal drainage of each abnormal drainage device on the display end; Extract the abnormal wearing workers corresponding to the mine in the abnormal wearing warning information, and display the abnormal wearing workers on the display end.

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