Underground transportation safety intelligent monitoring system and method

Abstract

The invention provides an underground transportation safety intelligent monitoring system and method. The underground transportation safety intelligent monitoring system comprises an environment monitoring module, a transportation monitoring module, an information early warning module, a monitoring management module and a danger level monitoring module. The environment monitoring module is used for acquiring environment state information and equipment state information; the transportation monitoring module is used for acquiring belt state information and coal flow state information; the information early warning module is used for carrying out over-limit alarm according to the acquired information; the danger level monitoring module is used for obtaining the number of overrun alarm times, dividing danger levels and then transmitting the danger levels to the monitoring management module. And the monitoring management module is used for storing, analyzing and processing various kinds of state information and judging whether the danger level is correct or not according to the various kinds of state information. On the basis of real-time monitoring of various unsafe factors in the transportation environment and the operation state, the danger level can be comprehensively judged, and the safety of coal mine transportation work is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of coal mine transportation safety, and relates to an intelligent monitoring system and method for underground transportation safety. Background Art

[0002] The coal mine underground transportation system plays a crucial role in the mine exploitation, tunneling and coal production processes, and is also an important factor affecting coal mine safety. At present, the underground transportation system mainly uses multi-stage belt conveyor equipment as the core equipment, and realizes the continuous transportation of materials through the movement of the conveyor belt carrying the materials. It has the advantages of long transportation distance, large transportation volume, simple operation, strong adaptability, and low energy consumption. Due to the long coal flow transportation line, many equipment, frequent accidents such as coal flow jamming and coal stacking, which not only affect coal mine production, but also pose a threat to underground workers. Therefore, it is of great significance to monitor and manage the underground transportation safety.

[0003] CN208666340U discloses a fault detection device for a coal mine underground belt conveyor based on images, including a deviation detection module and a slip detection module arranged near the belt pulley, a data network and a monitoring host; the deviation detection module includes a first image collector; the first image collector is located near the belt pulley of the underground belt conveyor, and the first image collector is a digital camera, and its shooting direction is perpendicular to the axle of the belt pulley; the slip detection module includes a second image collector; the second image collector is located near the end of the belt pulley of the underground belt conveyor, and the second image collector is a digital camera, and its shooting direction is parallel to the axle of the belt pulley. By using the visual detection method, it detects the belt deviation and slip faults of the coal mine underground belt conveyor, enhances the safety of belt operation, and avoids safety accidents.

[0004] CN109838276A discloses an air walking transportation robot for a coal mine underground driving roadway, including a storage bin, a telescopic mechanism, a vertical curtain protection device, a detection system, a frame platform, a walker I, a walker II, a walker III, a walker IV, a walker V, a walker VI, a vertical gyroscope system, a moving device, a control system, a hydraulic system and a remote controller. The control system is interlocked with the remote controller at the same time to realize remote control operation at a long distance. Through the optical cable, it realizes ground remote control and realizes unattended or less attended operation, meeting the national safety requirements and safety policies; it realizes air walking, occupies a small space, has a small equipment appearance, good flexibility and high work efficiency.

[0005] The existing underground transportation monitoring system has few detection factors, cannot conduct online detection on the coal flow transportation system in all directions, and cannot judge the danger level of abnormal situations based on the environmental information and coal mine information during coal mine transportation. There are certain potential safety hazards, resulting in the inability to accurately implement work scheduling and easily exacerbating accident losses. In addition, it can only rely on the video monitoring images provided by the inspection robot for analysis, and cannot achieve real-time detection, leading to problems such as inaccurate prediction and untimely control.

[0006] Therefore, it is necessary to propose an intelligent monitoring system for underground transportation safety to meet the requirements of comprehensive monitoring of intelligent transportation safety in coal mines. Summary of the Invention

[0007] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide an intelligent monitoring system and method for underground transportation safety. Based on the real-time monitoring of various unsafe factors in the transportation environment and operating status, it is convenient to comprehensively judge the danger level, reduce potential safety hazards during coal mine transportation, and meet the requirements of intelligent transportation in coal mines.

[0008] To achieve this purpose, the present invention adopts the following technical solutions:

[0009] In the first aspect, the present invention provides an intelligent monitoring system for underground transportation safety, including an environmental monitoring module, a transportation monitoring module, an information warning module, a monitoring and management module, and a danger level monitoring module; the environmental monitoring module is arranged in the transportation space and is used to obtain environmental status information and equipment status information; the transportation monitoring module is arranged on the conveyor belt and is used to obtain belt status information and coal flow status information; the information warning module is respectively communicatively connected to the environmental monitoring module and the transportation monitoring module and is used to conduct over-limit alarms according to the obtained information; the danger level monitoring module is respectively connected to the information warning module and the monitoring and management module and is used to obtain the number of over-limit alarms, divide the danger level, and transmit it to the monitoring and management module; the monitoring and management module is also respectively communicatively connected to the environmental monitoring module, the transportation monitoring module, and the information warning module and is used to store and analyze various status information, and judge whether the danger level is correct according to various status information.

[0010] The present invention collects information such as environmental status information, equipment status information, belt status information, and coal flow status information, provides a huge data basis for the prediction of different types of safety accidents and the confirmation of danger levels, and conducts over-limit alarms for abnormal data in different detected status information through the information warning module respectively to achieve timely warning of different types of potential safety hazards; uses the danger level monitoring module to divide the danger level according to the number of over-limit alarms, and then comprehensively judges whether the danger level is correct based on the collected data information and adjusts the danger level to quickly and accurately grasp the urgency of abnormal problems during transportation, which is beneficial to timely and precise regulation and management and improves work efficiency.

[0011] As a preferred technical solution of the present invention, the environmental monitoring module includes a plurality of dust concentration detection components, a plurality of gas concentration detection components, a plurality of environmental temperature and humidity detection components, a plurality of noise detection components, a plurality of body temperature detection components, a plurality of vibration detection components and a plurality of detection base stations.

[0012] The plurality of dust concentration detection components, the plurality of gas concentration detection components, the environmental temperature and humidity detection components and the plurality of noise detection components are respectively and independently arranged at equal intervals along the extending direction of the transportation space.

[0013] The body temperature detection component and the vibration detection component are independently arranged on the operating equipment in the transportation space.

[0014] The detection base stations are respectively connected to the dust concentration detection components, the gas concentration detection components, the environmental temperature and humidity detection components, the noise detection components, the body temperature detection components, the vibration detection components and the monitoring and management module.

[0015] The present invention collects various environmental factors such as dust concentration, gas concentration, temperature and humidity, and noise intensity in the transportation space to timely judge the abnormal situation of the transportation environment and ensure the safety of underground workers. At the same time, it collects the body temperature and vibration conditions of the operating equipment required for coal mine transportation to comprehensively judge whether the operating equipment fails, which is beneficial to ensuring the normal operation of the transportation work.

[0016] As a preferred technical solution of the present invention, the transportation monitoring module includes a speed detection component, a plurality of laser detection components and a plurality of visual detection components.

[0017] The speed detection component is arranged below the transportation belt and is used to detect the conveying speed.

[0018] The plurality of laser detection components are arranged at equal intervals along the extending direction of the transportation belt and are used to detect the deviation of the transportation belt.

[0019] The plurality of visual detection components are arranged above the transportation belt and are used to obtain coal flow image information and identify the coal flow rate, the coal stacking volume and the coal uniformity.

[0020] By real-time monitoring of the conveying speed and deviation of the transportation belt, the present invention can timely respond to the changes in the transportation process and maintain the stability of the belt conveying system. At the same time, by using the method of collecting new image information, it can master the coal flow state during transportation, which is beneficial to preventing overloading or coal stacking and improving the real-time performance of coal flow prediction and control.

[0021] As a preferred technical solution of the present invention, the laser detection assembly includes a first laser range finder, a second laser range finder and a distance recognition component; the first laser range finder and the second laser range finder are respectively arranged on both sides of the conveyor belt for detecting the distance information from the edge of the conveyor belt to the first laser range finder or the second laser range finder; the distance recognition component is electrically connected to the first laser range finder and the second laser range finder respectively for identifying the deviation condition of the conveyor belt according to the distance information.

[0022] As a preferred technical solution of the present invention, the vision detection assembly includes an intelligent recognition camera, a built-in power supply and an analysis server. The intelligent recognition camera is arranged above the conveyor belt. The intelligent recognition camera is electrically connected to the built-in power supply and the analysis server respectively. The analysis server is communicatively connected to the monitoring and management module and the information warning module respectively.

[0023] As a preferred technical solution of the present invention, the information warning module includes a first alarm component and a second alarm component.

[0024] The first alarm component is communicatively connected to the dust concentration detection component, the gas concentration detection component, the ambient temperature and humidity detection component, the noise detection component, the body temperature detection component and the vibration detection component respectively.

[0025] The second alarm component is communicatively connected to the speed detection component, the laser detection component and the vision detection component respectively.

[0026] In the present invention, the first alarm component warns of abnormal data in the environmental state information and the equipment state information respectively, and the second alarm component warns of abnormal data in the belt state information and the coal flow state information respectively, realizing classified warning of multiple factors, which is beneficial to identifying different potential safety hazards so as to take corresponding adjustment measures.

[0027] As a preferred technical solution of the present invention, the monitoring and management module includes a ring network switch, a memory, a CPU processor (Central Processing Unit), a timing processor, a microcontroller and a display screen.

[0028] The input end of the ring network switch is communicatively connected to the environmental monitoring module and the transportation monitoring module respectively, and the output end is communicatively connected to the memory and the CPU processor respectively. The memory is used for recording and storing the acquired information, and the CPU processor is used for analyzing and processing the acquired information.

[0029] The CPU processor is also electrically connected to the danger level monitoring module, the timing processor, the microcontroller and the display screen respectively.

[0030] The timing processor is electrically connected to the danger level monitoring module, and is configured to obtain the time interval between two adjacent overlimit alarms and transmit it to the CPU processor.

[0031] The microcontroller is also electrically connected to the danger level monitoring module, and is configured to adjust the danger level according to the analysis result of the CPU processor.

[0032] The display screen is configured to display the monitoring field map, and the information obtained by the environmental monitoring module and the transportation monitoring module as well as the overlimit alarm signal are displayed on the monitoring field map.

[0033] As a preferred technical solution of the present invention, the ring network switch performs data interaction through the industrial Ethernet.

[0034] The data processing amount of the present invention is large and the transmission speed is fast, which greatly improves the efficiency of safety monitoring work.

[0035] As a preferred technical solution of the present invention, the danger level monitoring module includes a classification recording component, a microprocessor, a reference server and a risk output component, and the microprocessor is electrically connected to the classification recording component, the reference server and the risk output component respectively.

[0036] The classification recording component is communicatively connected to the information warning module, and is configured to identify various overlimit alarms, record the overlimit alarm times and alarm times, and then transmit them to the microprocessor.

[0037] The upper limit value and the lower limit value are preset in the reference server.

[0038] The microprocessor is configured to analyze and compare the overlimit alarm times, the upper limit value and the lower limit value, divide the danger level and send a signal instruction to the risk output component, the risk output component outputs a danger level signal according to the signal instruction, and the microprocessor and the risk output component are also independently communicatively connected to the monitoring and management module.

[0039] In a second aspect, the present invention provides an intelligent monitoring method for underground transportation safety. The intelligent monitoring method for underground transportation safety adopts the intelligent monitoring system for underground transportation safety described in the first aspect. The intelligent monitoring method for underground transportation safety includes:

[0040] Obtain the environmental state information and equipment state information in the transportation space, as well as the belt state information and coal flow state information of the transportation belt, and upload the obtained information to the monitoring and management module and the information warning module.

[0041] The information warning module performs overlimit alarm according to the obtained information.

[0042] Obtain the number of over - limit alarms through the danger level monitoring module, divide the danger level, and then transmit it to the monitoring and management module.

[0043] The monitoring and management module comprehensively analyzes and processes the environmental status information, equipment status information, belt status information, and coal flow status information, as well as their respective over - limit alarm information, judges whether the danger level is correct, and adjusts the danger level according to the judgment result.

[0044] The system refers to the equipment system, device system, or production device.

[0045] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0046] An underground transportation safety intelligent monitoring system and method provided by the present invention provide a comprehensive data basis for accident prediction by real - time monitoring of various factors such as the environmental status, operating equipment, conveyor belt status, and coal flow status during underground transportation. At the same time, it gives an over - limit alarm for abnormal data, and then divides the danger level according to the number of over - limit alarms, improving the accuracy of transportation accident prediction and ensuring the efficient and safe operation of transportation work. Brief Description of the Drawings

[0047] Figure 1 It is the overall block diagram of the underground transportation safety intelligent monitoring system provided for a specific embodiment of the present invention.

[0048] Among them, 1 - environmental monitoring module; 11 - dust concentration detection component; 12 - gas concentration detection component; 13 - environmental temperature and humidity detection component; 14 - noise detection component; 15 - detection base station; 16 - body temperature detection component; 17 - vibration detection component; 2 - transportation monitoring module; 21 - speed detection component; 22 - laser detection component; 23 - visual detection component; 3 - information warning module; 31 - first alarm component; 32 - second alarm component; 4 - monitoring and management module; 41 - ring network switch; 42 - memory; 43 - CPU processor; 44 - timing processor; 45 - microcontroller; 46 - display screen; 5 - danger level monitoring module; 51 - classification record component; 52 - microprocessor; 53 - reference server; 54 - risk output component. Detailed Embodiment

[0049] It should be understood that in the description of the present invention, the orientation or positional relationship indicated by terms such as "center", "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is 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 thus should not be construed as a limitation to the present invention. In addition, terms such as "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first", "second", etc. may explicitly or implicitly include one or more of such features. In the description of the present invention, unless otherwise specified, the meaning of "a plurality" is two or more.

[0050] It should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "set", "connected", "coupled" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood through specific situations.

[0051] The technical solution of the present invention will be further described below with reference to the drawings and through specific embodiments.

[0052] In a specific embodiment, the present invention provides an intelligent monitoring system for underground transportation safety, as Figure 1 shown, including an environmental monitoring module 1, a transportation monitoring module 2, an information warning module 3, a monitoring and management module 4, and a danger level monitoring module 5. The environmental monitoring module 1 is arranged in the transportation space and is used to obtain environmental state information and equipment state information. The transportation monitoring module 2 is arranged on the transportation belt and is used to obtain belt state information and coal flow state information. The information warning module 3 is respectively communicatively connected to the environmental monitoring module 1 and the transportation monitoring module 2 and is used to perform over-limit alarms according to the obtained information. The danger level monitoring module 5 is respectively connected to the information warning module 3 and the monitoring and management module 4 and is used to obtain the number of over-limit alarms, divide the danger level, and then transmit it to the monitoring and management module 4. The monitoring and management module 4 is also respectively communicatively connected to the environmental monitoring module 1, the transportation monitoring module 2, and the information warning module 3, and is used to store and analyze and process various state information, and judge whether the danger level is correct according to various state information.

[0053] In some embodiments, the environmental monitoring module 1 includes a plurality of dust concentration detection components 11, a plurality of gas concentration detection components 12, a plurality of environmental temperature and humidity detection components 13, a plurality of noise detection components 14 and a plurality of detection base stations 15, which are used to monitor and collect the environmental status information in the transportation space in real time. The transportation space can be a coal working face, a tunneling working face, an underground roadway or a shaft, etc. The plurality of dust concentration detection components 11 are arranged at equal intervals along the extension direction of the transportation space, and are used to collect the real-time dust concentration information along the transportation space. The plurality of gas concentration detection components 12 are arranged at equal intervals along the extension direction of the transportation space, and are used to collect the real-time gas concentration information along the transportation space. The plurality of environmental temperature and humidity detection components 13 are arranged at equal intervals along the extension direction of the transportation space, and are used to collect the real-time temperature and humidity information along the transportation space. The plurality of noise detection components 14 are arranged at equal intervals along the extension direction of the transportation space, and are used to collect the real-time noise intensity information along the transportation space. The input ends of the detection base stations 15 are electrically connected to the dust concentration detection components 11, the gas concentration detection components 12, the environmental temperature and humidity detection components 13 and the noise detection components 14 respectively, and the output ends of the detection base stations 15 are communicatively connected to the monitoring and management module 4, which is used to receive various environmental status information and transmit it to the monitoring and management module 4.

[0054] The environmental monitoring module 1 further includes a plurality of body temperature detection components 16 and a plurality of vibration detection components 17, which are used to monitor and collect the equipment status information of the operating equipment in real time. In the present invention, the operating equipment can be the loading equipment, the receiving equipment, the lifting equipment, the redirecting equipment, the supporting roller equipment, the driving equipment, the braking equipment, the tensioning equipment of the belt conveying system, and other mechanical equipment necessary for belt transportation. The body temperature detection components 16 are arranged on the operating equipment in the transportation space, and are used to collect the temperature information when the operating equipment is running. When the temperature of the operating equipment is abnormal due to faults such as long-term overload operation, non-standard operation, short circuit of the running winding or short circuit, electrical line failure or component damage, the body temperature detection components 16 can detect the abnormal situation in time. Those skilled in the art can install the body temperature detection components 16 on the motor or other temperature-sensitive components of the operating equipment according to the actual situation. The vibration detection components 17 are arranged on the operating equipment in the transportation space, and are used to collect the vibration information when the operating equipment is running, for example, the amplitude or frequency. Those skilled in the art can install the vibration detection components 17 on the bearing of the operating equipment to detect the vibration of the shaft, or close to the outer shell of the operating equipment to test the overall vibration of the operating equipment. The input ends of the detection base stations 15 are also electrically connected to the body temperature detection components 16 and the vibration detection components 17 respectively, and the output ends of the detection base stations 15 are communicatively connected to the monitoring and management module 4, which is used to receive the temperature information and the vibration information and transmit it to the monitoring and management module 4.

[0055] In some embodiments, the transport monitoring module 2 includes a speed detection component 21 for monitoring the belt transport status information. The speed detection component 21 is arranged below the transport belt to detect the conveying speed. The speed detection component 21 can be installed on the support roller at the bottom of the transport belt to obtain the conveying speed of the transport belt by detecting the rotation speed of the support roller; a laser speed sensor can also be used to emit a laser to the lower surface of the transport belt to obtain the conveying speed of the transport belt. If the conveying speed of the transport belt is too fast, it is easy to cause the belt to slip or deviate, and it will also aggravate the wear of components, while if the transport speed is too slow, it will not be able to meet the production requirements. The present invention monitors the conveying speed of the transport belt so as to adjust the speed according to the coal flow rate to ensure the efficient and safe operation of the transportation operation.

[0056] The transport monitoring module 2 also includes a plurality of laser detection components 22 arranged at equal intervals along the extension direction of the transport belt, which are used to detect the deviation of the transport belt. Specifically, the laser detection component 22 includes a first laser ranging sensor, a second laser ranging sensor and a distance identification component. The first laser ranging sensor and the second laser ranging sensor are respectively arranged on both sides of the transport belt, and are used to detect the distance information from the edge of the transport belt to the first laser ranging sensor or the second laser ranging sensor. The distance identification component is electrically connected to the first laser ranging sensor and the second laser ranging sensor, respectively, and is used to identify the deviation of the transport belt according to the distance information. The distance identification component is preset with a distance threshold between the edge of the transport belt and the laser ranging sensor. When the distance information detected by the first laser ranging sensor or the second laser ranging sensor exceeds the distance threshold, it can be confirmed that the transport belt has deviated.

[0057] The transportation monitoring module 2 further includes a number of visual detection components 23, which are arranged above the transportation belt and used to obtain coal flow image information, identify the coal flow rate, the volume of piled coal, and the coal uniformity, so as to master the coal state information. Specifically, the visual detection component 23 includes an intelligent recognition camera, a built-in power supply, and an analysis server. The intelligent recognition camera is arranged above the transportation belt and used to obtain the coal flow image information on the transportation belt during the acquisition time. The built-in power supply is electrically connected to the intelligent recognition camera and used to provide electrical energy to the intelligent recognition camera. A mine explosion-proof and intrinsically safe DC regulated power supply can be used to ensure a long operation time and also has overcurrent and overvoltage protection functions. The analysis server is electrically connected to the intelligent recognition camera and used to analyze and calculate the coal flow rate, the volume of piled coal, and the coal uniformity in the image information. The analysis server is respectively communicatively connected to the monitoring and management module 4 and the information warning module 3, and is used to upload the coal flow image information and its analysis results to the monitoring and management module 4, and at the same time trigger the information warning module 3 to issue an overlimit alarm according to the analysis results. Among them, the analysis server uses the image semantic segmentation technology commonly used by those skilled in the art to extract the edges of the piled coal in the image information obtained by the intelligent recognition camera to obtain the volume of the piled coal, confirm the coal uniformity according to the fluctuation of the piled coal height in multiple consecutive acquisition times, and then calculate the coal flow rate through the general integral algorithm in the field according to the recognized volume size and uniformity of the coal volume.

[0058] In some embodiments, the information warning module 3 includes a first alarm component 31 and a second alarm component 32. The first alarm component 31 is respectively communicatively connected to the dust concentration detection component 11, the gas concentration detection component 12, the ambient temperature and humidity detection component 13, the noise detection component 14, the body temperature detection component 16 and the vibration detection component 17. The information warning module 3 is preset with a dust concentration limit value, a gas concentration limit value, a temperature and humidity limit value, a noise intensity limit value, a body temperature limit value and a vibration limit value. When the real-time data information obtained by the above detection components exceeds the corresponding limit values, the first alarm component 31 is immediately triggered to issue an over-limit alarm. In the present invention, the first alarm component 31 can issue different over-limit alarms according to different types of status information, so that the staff can accurately distinguish abnormal situations. The first alarm component 31 can be composed of multiple sound and light alarms, and each sound and light alarm corresponds to a different detection component. Specifically, the multiple sound and light alarms at least include a first sound and light alarm I, a first sound and light alarm II, a first sound and light alarm III, a first sound and light alarm IV, a first sound and light alarm V and a first sound and light alarm VI. Among them, the first sound and light alarm I is communicatively connected to the dust concentration detection component 11, the first sound and light alarm II is communicatively connected to the gas concentration detection component 12, the first sound and light alarm III is communicatively connected to the ambient temperature and humidity detection component 13, the first sound and light alarm IV is communicatively connected to the noise detection component 14, the first sound and light alarm V is communicatively connected to the body temperature detection component 16, and the first sound and light alarm VI is communicatively connected to the vibration detection component 17. The second alarm component 32 is communicatively connected to the speed detection component 21, the laser detection component 22 and the visual detection component 23. The information warning module 3 is preset with a speed limit value, a displacement limit value, a coal quantity limit value, a coal pile volume limit value and a uniformity limit value. When it is detected that the conveying speed and / or the offset of the conveyor belt exceeds its limit value, and when the coal quantity, the coal pile volume or the coal uniformity on the conveyor belt exceeds the limit value, the second alarm component 32 can be triggered to issue an over-limit alarm. The first alarm component 31 can be composed of multiple sound and light alarms, and each sound and light alarm corresponds to a different detection component. Specifically, the second alarm component 32 at least includes a second sound and light alarm I, a second sound and light alarm II and a third sound and light alarm III, and the second sound and light alarm I is communicatively connected to the speed detection component 21, the second sound and light alarm II is communicatively connected to the laser detection component 22, and the third sound and light alarm III is communicatively connected to the visual detection component 23.

[0059] In some embodiments, the monitoring and management module 4 includes a ring network switch 41, a memory 42, a CPU processor 43, a timing processor 44, a microcontroller 45, and a display screen 46. The input end of the ring network switch 41 is respectively communicatively connected to the environment monitoring module 1 and the transportation monitoring module 2, and the output end is respectively communicatively connected to the memory 42 and the CPU processor 43. The memory 42 is used to record and save the acquired information, and the CPU processor 43 is used to analyze and process the acquired information. Specifically, the ring network switch 41 is communicatively connected to each detection base station 15, and can upload the collected environmental status information and device status information to the memory 42 and the CPU processor 43 in a wireless transmission manner. At the same time, the ring network switch 41 is also communicatively connected to the speed detection component 21, the laser detection component 22, and the vision detection component 23, and uploads the collected data information such as the transportation speed, offset, and image information of the conveyor belt, as well as the analyzed coal quantity, coal pile volume, and coal uniformity to the memory 42 and the CPU processor 43 in a wireless transmission manner. And the ring network switch 41 performs data interaction through an industrial Ethernet.

[0060] The CPU processor 43 is also electrically connected to the danger level monitoring module 5, the timing processor 44, the microcontroller 45, and the display screen 46 respectively. The danger level monitoring module 5 transmits the output danger level signal to the CPU processor 43. The timing processor 44 is electrically connected to the danger level monitoring module, and is used to obtain the time interval between two adjacent overlimit alarms and transmit it to the CPU processor 43, so that the CPU processor 43 can comprehensively analyze and calculate various status information, overlimit alarm information, and overlimit alarm time interval to judge whether the danger level output by the current danger level monitoring module 5 is correct. The microcontroller 45 is also electrically connected to the danger level monitoring module, and is used to adjust the danger level according to the analysis result of the CPU processor 43. Those skilled in the art can set the influence index and weight coefficient of different status information according to the actual situation, and determine the danger level through common statistical analysis algorithms. When the CPU processor 43 analyzes and obtains the correct result of the danger level, the current danger level output is maintained; when the CPU processor 43 analyzes and obtains the wrong result of the danger level, the output of the danger level is remotely adjusted through the microcontroller 45. The display screen 46 is used to display the monitoring field map, and the information acquired by the environment monitoring module 1 and the transportation monitoring module 2 and the overlimit alarm signal are displayed on the monitoring field map.

[0061] In some embodiments, the risk level monitoring module 5 includes a classification and recording component 51, a microprocessor 52, a reference server 53, and a risk output component 54. The microprocessor 52 is electrically connected to the classification and recording component 51, the reference server 53, and the risk output component 54 respectively. The classification and recording component 51 is communicatively connected to the information warning module 3, and is configured to identify various over-limit alarms, record the number of over-limit alarms and the alarm time, and then transmit them to the microprocessor 52. Specifically, the classification and recording component 51 can identify the over-limit alarms of the sound and light alarms corresponding to different detection components in the first alarm component 31 and the second alarm component 32, and record the number of their alarms and the alarm time in real time and upload them to the microprocessor 52. The microprocessor 52 is also communicatively connected to the monitoring and management module 4, and is configured to upload the alarm time of each over-limit alarm to the monitoring and management module 4. The reference server 53 pre-stores upper and lower limit values corresponding to the number of alarms. The microprocessor 52 is configured to analyze and compare the number of over-limit alarms, the upper limit value, and the lower limit value, and after dividing the risk level, send a signal instruction to the risk output component 54. The risk output component 54 outputs a risk level signal according to the signal instruction. Exemplarily, when the number of over-limit alarms is lower than the lower limit value, the risk output component 54 sends a level-three risk level signal. When the number of over-limit alarms is higher than the lower limit value and lower than the upper limit value, the risk output component 54 sends a level-two risk level signal. When the number of over-limit alarms is higher than the upper limit value, the risk output component 54 sends a level-one risk level signal. Specifically, the risk output component 54 includes a display or a speaker. The risk output component 54 is also communicatively connected to the monitoring and management module 4, and the monitoring and management module 4 comprehensively analyzes and calculates various status information, over-limit alarm information, and over-limit alarm time intervals, and adjusts the risk level output by the risk output component 54.

[0062] In another specific embodiment, the present invention provides an intelligent monitoring method for underground transportation safety. The intelligent monitoring method for underground transportation safety uses the intelligent monitoring system for underground transportation safety described in a specific embodiment. The intelligent monitoring method for underground transportation safety includes:

[0063] (1) Obtain the environmental status information and equipment status information in the transportation space, as well as the belt status information and coal flow status information of the transportation belt, and upload the obtained information to the monitoring and management module 4 and the information warning module 3.

[0064] The environmental status information includes dust concentration information, gas concentration information, temperature and humidity information, and noise intensity information in the transportation space. The equipment status information includes the body temperature information and vibration information of the operating equipment. The belt status information includes the conveying speed information and running deviation amount of the transportation belt. The coal flow status information includes coal flow rate, coal stacking volume, and coal uniformity.

[0065] (2) The information warning module 3 issues an over-limit alarm based on the acquired information.

[0066] The information warning module 3 is preset with limits for dust concentration, gas concentration, temperature and humidity, noise intensity, body temperature, vibration, speed, displacement, coal quantity, coal pile volume, and uniformity. When any of the collected status information exceeds the limit, the corresponding alarm component can be triggered to issue an over-limit alarm.

[0067] (3) The danger level monitoring module 5 obtains the number of over-limit alarms, divides the danger level, and transmits it to the monitoring and management module 4.

[0068] The danger level monitoring module 5 is preset with upper and lower limit values corresponding to the number of alarms. By analyzing and comparing the number of over-limit alarms, the upper limit value, and the lower limit value, and dividing the danger level, a danger level signal is output.

[0069] (4) The monitoring and management module 4 comprehensively analyzes and processes the environmental status information, equipment status information, belt status information, and coal flow status information, as well as their respective over-limit alarm information, determines whether the danger level is correct, and adjusts the danger level according to the judgment result.

[0070] The applicant declares that the above is only the specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Those skilled in the art should understand that any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present invention fall within the protection scope and the disclosure scope of the present invention.

Claims

1. An intelligent monitoring system for underground transportation safety, characterized in that: It includes environment monitoring module, transportation monitoring module, information warning module, monitoring management module and hazard level monitoring module; The environmental monitoring module is arranged in the transportation space, and is used to obtain environmental status information and equipment status information; the transportation monitoring module is arranged on the transportation belt, and is used to obtain belt status information and coal flow status information; the information early warning module is respectively connected to the environmental monitoring module and the transportation monitoring module in communication, and is used to make an over-limit alarm according to the acquired information; the danger level monitoring module is respectively connected to the information early warning module and the monitoring and management module, and is used to obtain the number of over-limit alarms, and transmit it to the monitoring and management module after dividing the danger levels; the monitoring and management module is also respectively connected to the environmental monitoring module, the transportation monitoring module and the information early warning module in communication, and is used to store and analyze and process a variety of status information, and judge whether the danger level is correct according to a variety of status information.

2. The intelligent monitoring system for underground transportation safety according to claim 1 is characterized in that: The environmental monitoring module includes a plurality of dust concentration detection components, a plurality of gas concentration detection components, a plurality of environmental temperature and humidity detection components, a plurality of noise detection components, a plurality of body temperature detection components, a plurality of vibration detection components and a plurality of detection base stations; A plurality of dust concentration detection components, a plurality of gas concentration detection components, an ambient temperature and humidity detection component and a plurality of noise detection components are independently and equidistantly arranged along the extension direction of the transport space; The body temperature detection component and the vibration detection component are independently arranged on the operating equipment in the transportation space; The detection base station is respectively connected to the dust concentration detection component, the gas concentration detection component, the ambient temperature and humidity detection component, the noise detection component, the body temperature detection component, the vibration detection component and the monitoring management module.

3. The intelligent monitoring system for underground transportation safety according to claim 2 is characterized in that: The transport monitoring module includes a speed detection component, a plurality of laser detection components and a plurality of visual detection components; The speed detection component is arranged below the conveying belt and is used to detect the conveying speed; A plurality of the laser detection components are arranged at equal intervals along the extension direction of the conveyor belt to detect the deviation of the conveyor belt; Several of the visual detection components are arranged above the conveyor belt to obtain coal flow image information and identify coal flow, coal pile volume and coal uniformity.

4. The intelligent monitoring system for underground transportation safety according to claim 3 is characterized in that: The laser detection component includes a first laser distance measuring sensor, a second laser distance measuring sensor and a distance identification component; The first laser distance measuring sensor and the second laser distance measuring sensor are respectively arranged on both sides of the conveying belt, and are used to detect the distance information from the edge of the conveying belt to the first laser distance measuring sensor or the second laser distance measuring sensor; The distance identification component is electrically connected to the first laser distance measuring sensor and the second laser distance measuring sensor respectively, and is used to identify the deviation of the conveyor belt according to the distance information.

5. The intelligent monitoring system for underground transportation safety according to claim 3 is characterized in that: The visual detection component includes an intelligent recognition camera, a built-in power supply and an analysis server. The intelligent recognition camera is arranged above the conveyor belt. The intelligent recognition camera is electrically connected to the built-in power supply and the analysis server respectively. The analysis server is communicatively connected to the monitoring management module and the information warning module respectively.

6. The intelligent monitoring system for underground transportation safety according to claim 3 is characterized in that: The information warning module includes a first alarm component and a second alarm component; The first alarm component is respectively connected to the dust concentration detection component, the gas concentration detection component, the ambient temperature and humidity detection component, the noise detection component, the body temperature detection component and the vibration detection component; The second alarm component is communicatively connected to the speed detection component, the laser detection component and the visual detection component respectively.

7. The intelligent monitoring system for underground transportation safety according to claim 1 is characterized in that: The monitoring management module includes a ring network switch, a memory, a CPU processor, a timing processor, a microcontroller and a display screen; The input end of the ring network switch is respectively connected to the environment monitoring module and the transport monitoring module, and the output end is respectively connected to the memory and the CPU processor, the memory is used to record and save the acquired information, and the CPU processor is used to analyze and process the acquired information; The CPU processor is also electrically connected to the danger level monitoring module, the timing processor, the microcontroller and the display screen respectively; The timing processor is electrically connected to the danger level monitoring module, and is used to obtain the time interval between two adjacent over-limit alarms and transmit it to the CPU processor; The microcontroller is also electrically connected to the danger level monitoring module, and is used to adjust the danger level according to the analysis result of the CPU processor; The display screen is used to display a monitoring site map, and the monitoring site map displays the information obtained by the environment monitoring module and the transportation monitoring module and the over-limit alarm signal.

8. The intelligent monitoring system for underground transportation safety according to claim 7 is characterized in that: The ring network switch performs data exchange via industrial Ethernet.

9. The intelligent monitoring system for underground transportation safety according to claim 1 is characterized in that: The hazard level monitoring module includes a classification recording component, a microprocessor, a reference server and a risk output component, and the microprocessor is electrically connected to the classification recording component, the reference server and the risk output component respectively; The classification recording component is communicatively connected to the information warning module, and is used to identify a variety of over-limit alarms, and record the number of over-limit alarms and alarm times, and then transmit them to the microprocessor; The reference server is preset with an upper limit value and a lower limit value; The microprocessor is used to analyze and compare the number of over-limit alarms, upper limit values ​​and lower limit values, and after dividing the danger level, send a signal instruction to the risk output component. The risk output component outputs a danger level signal according to the signal instruction. The microprocessor and the risk output component are also independently communicated and connected to the monitoring management module.

10. An intelligent monitoring method for underground transportation safety, characterized in that: The underground transportation safety intelligent monitoring method adopts the underground transportation safety intelligent monitoring system according to any one of claims 1 to 9, and the underground transportation safety intelligent monitoring method comprises: Obtain environmental status information and equipment status information in the transportation space, as well as belt status information and coal flow status information of the transportation belt, and upload the acquired information to the monitoring management module and the information warning module; The information warning module issues an over-limit alarm based on the acquired information; The number of over-limit alarms is obtained through the danger level monitoring module, and the danger levels are classified and then transmitted to the monitoring management module; The monitoring management module comprehensively analyzes and processes environmental status information, equipment status information, belt status information and coal flow status information, and their respective over-limit alarm information, determines whether the danger level is correct, and adjusts the danger level according to the judgment result.

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