1580 results about "Mine safety" patented technology

The invention relates to a mine environment probing and search and rescue emergency response system based on a wireless sensor network, which comprises various intelligent wireless sensor network nodes, a plurality of backbone routing nodes of an underground wireless network, an underground wireless sensor network gateway, a fiber optic modem, an attendance reader, an IP network switch, a network server, a database center and a monitoring center, and has environment monitoring function before occurrence of accidents, positioning and tracking function in mine operation, electronic attendance function on operating miners, dynamic network repair function after the occurrence of the accidents, wireless voice calling function between ground and underground, and video monitoring and search and rescue function. The system can improve mine safety production management level, promote mine information construction, reduce occurrence of coalmine accidents, quicken the search and rescue process in mine disasters and the like, provides important information platform and has great application value.

The invention relates to the field of coal mine safety technique, specifically to a down-hole coal and gas outburst hazard early warning system and early warning method. The coal and gas outburst synthesized early-warning system, uses the existing local area network to connect a synthesized early-warning data server, an early-warning data management system and the existing coal mine safety monitoring system; analyzes the coal and gas outburst early-warning data in the synthesized early-warning data server by an outburst early-warning module; and emits early-warning information based on the analyzed result. The inventive coal and gas outburst synthesized early warning system and early warning method can perform centralized management and comprehensive analysis of the geological structure, coal seam occurrence, gas occurrence, mining production, daily forecast indicators, outburst forecast, gas emission and other security information that originally scatter in various functional sections of coal mine on the geographical information system GIS platform, integrates the existing resources, improves the accuracy of early warning, so that the early warning is both real-time and forward-looking, and can effectively prevent the occurrence of coal and gas outburst in coal mine.

The invention relates to a rock sample detection and data acquisition system. The system can realize elastic parameter test of a rock sample in the state of gas adsorption; in the system, a three-shaft pressure cabin is connected with a gas supply and metering control device for absorbing samples in the cabin and accurately metering absorption quantity, moreover, an ultrasonic transducer is installed on a cap of the (high) pressure cabin and integrated with an ultrasonic wave transmitting/receiving device so that the test of elastic parameters of methane absorption on coal can be realized truly. The system can automatically and continuously test in the processes of gas absorption and gas enrichment, thereby ensuring a consistent test environment, acquiring an absorption quantity and elastic parameter relation curve, improving test accuracy and efficiency and saving test time and cost. The rock sample detection and data acquisition system integrates methane enrichment mechanism simulation and rock physical property test, can be applied to seismic prospecting method research on coalbed methane and shale gas, mine advanced detection, coal mine safety research and the like.

A coal mine safety integrated monitoring system based on the Internet of Things comprises an environment information system, an equipment information system, a mobile target tracking and positioning system, a voice communication system, a video monitoring system, a traffic dispatching system, a safety supervision information system, a working plane information management system, a yield monitoring system, a dynamic meter management system, a safety prewarning and decision supporting system and a rescue information assurance system. Nodes of the Internet of Things are installed to a coal mine tunnel, relevant equipment and workers, the nodes of the Internet of Things are connected with relevant sensors and actuating equipment, and objects, needing to be monitored, of an underground coal mine are connected with the Internet according to a unified agreement, so that the coal mine safety integrated monitoring system based on the Internet of Things is formed. The data information of the underground environment and equipment can be collected by every worker and underground equipment through the sensors carried with the workers and the underground equipment; besides, the state information of the workers and the underground equipment can be collected, so that intelligent recognition, positioning, tracking, monitoring and management are achieved.

The invention relates to a coal-rock mass ground stress continuous testing device and a method thereof which are mainly used for testing the stress and change regularity of rock in place or crushed coal-rock mass. The device consists of a ground stress sensor, a data acquisition instrument and a high pressure oil pump, which can work separately and can be connected with the data acquisition instrument to work. The ground stress sensor consists of a preposing capsule pressure sensor (1), a high-pressure oil tube (2), a tee (3), an electronic digital display hydraulic sensor (4), a valve (5) and a quick change coupler (6); wherein, the capsule pressure sensor is arranged inside a borehole, and can be well coupled with the coal-rock mass by injecting oil liquid; the ground stress testing results can be directly displayed on a pressure gauge; the sensor can be directly connected with a coal mine safety monitoring system, or the data can be acquired by the data acquisition instrument for remote data transmission, or telephone wires can be used for the communication between the sensor and ground modem as well as a computer; in ground-based computer software, the ground stress data and the change regularity thereof can be looked over.

The invention relates to a WSN mine safety monitoring system with a recombination function and a downhole accident monitoring method, belonging to a mining safety monitoring technology. The invention overcomes the problems of the previous wired monitoring system such as complicated wiring, failure to dynamically follow up an excavating surface, easy damage and the like. In the invention, a ground monitoring center of the monitoring system is an Ethernet system composed of a downhole monitoring access mainframe, a database server, a monitoring terminal and a remote terminal; a downhole wired sensor network is a CAN bus network composed of a plurality of wired sensors; the CAN bus network is connected with the downhole monitoring access mainframe; and a downhole wireless sensor network is composed of gateway nodes, a plurality of cluster-head nodes, a plurality of wireless sensor nodes and a plurality of movable nodes, wherein, the gateway nodes are connected with a CAN bus of the downhole wired sensor network. In addition, after a fault occurs, the gateway nodes and wired sensor nodes can form a higher-level wireless communication network so as to guarantee communication reliability. The invention is applicable to various mines.

The invention provides a time-space characteristic and cross-border mining identification method for multi-source data monitoring mining area deformation. The method comprises the following steps: firstly, obtaining and optimally processing data by using a synthetic aperture radar (SAR); fusing SAR data monitoring data of a multi-satellite platform to obtain a settlement result map; carrying out supplementary monitoring on 'a large-deformation area' or 'a de-coherence area' in a tested mining area in the fused settlement result map; unifying multi-satellite platform data monitoring result coordinates; and finally inverting time-space characteristics of surface deformation of the mining area, so as to identify a cross-border mining area. The method is simple, small in calculated quantity and high in identification efficiency, and has important theoretical value and a wide application prospect in the aspects of maintaining the mining order, ensuring the mine safety and protecting the ecological environment of the mine; and the time-space characteristics of surface deformation of the mining area can be effectively inverted.

The invention relates to a system and a method for managing coal mine emergency rescue command information. The system comprises a coal mine basic information module, a coal mine safety monitoring information module, a map displaying and managing module, a coal mine catastrophe analyzing module, an emergency rescue power module and a catastrophe decision information module. Real-time monitoring and information data update are performed on information of main dangerous sources and hidden dangers under a coal mine by utilizing basic information and monitoring information of the coal mine, an information platform for effectively restraining the damage degree cause by underground sudden accidents is built, and effective and reliable information resources and basic data are provided for analysis and simulation of underground catastrophes by utilizing information before the accidents occur. The system automatically displays the best sheltering lines for underground persons, starts a set emergency response scheme, timely and effectively controls the influence degree of the accidents, and can further effectively provide response time for sheltering and rescue of underground workers and reduce accident loss and casualties to the largest extent.

The invention discloses a curing agent for filling iron tailings and a preparation method thereof and belongs to the technical field of mine safety. The curing agent comprise the following components in parts by mass: 0-70 parts of fly ash, 10-80 parts of superfine mineral slag powder, 0-70 parts of superfine steel slag powder, 0-20 parts of an alkaline activator, 0-20 parts of an sulfate activator, 0.1-1 part of a foam stabilizer and 2-5 parts of a microcapsule in which aluminum powder is used as a core material. The preparation method of the curing agent comprises the steps of firstly weighting fly ash, superfine mineral slag powder, superfine steel slag powder, alkaline activator, sulfate activator and foam stabilizer according to the blending ratio of the components of the curing agent, adding all the components in a stirrer, quickly stirring for 5-15 minutes, adding microcapsule in which aluminum powder is used as a core material and slowly stirring for 2-5 minutes to obtain the curing agent for filling iron tailings. The curing agent for filling iron tailings provided by the invention has strong curing capability and is simple and controllable in use and operation.

A mine safety wireless positioning system based on the ZigBee and RFID and a layout method thereof is disclosed. The invention relates to a wireless network positioning device constructed in a mine using the ZigBee technology and the RFID technology and a layout method thereof, in order to solve the problems of shorter work time, lower positioning precision, higher cost and inconvenient carrying existing in the prior mine positioning system. An RFID card reader transmits the received label data to a ZigBee terminal node module or a ZigBee routing node module, and receives the control data from the ZigBee terminal node module or a ZigBee routing node module. The ZigBee terminal node module and the ZigBee routing node module transmit the label data to a ZigBee main module. The ZigBee main node module transmits label data to a ground control center. The ground control center comprehensively analyzes the label data and the personnel information and node position information in a center data-base and writes the position information into the center data-base.

The invention belongs to the field of energy and coal mine safety, and particularly relates to a coal mine down-hole drilling penetration improvement method based on a controllable shock wave technology. The method aims at solving the problems of high labor intensity and low safety of an existing gas treatment mode. Controllable shock wave generation equipment is pushed to the interior of a drilling hole, and after a hole opening sealing device is installed at a hole opening of the drilling hole, water is injected to the drilling hole; after the drilling hole is fully filled with the water, operation is conducted segment by segment, the middle of each operation segment is used as an operation point of shock waves, and repeated impact is conducted on each operation point multiple times. Under the effect of the injected water in the hole, the shock wave generation equipment does not need to work under the environment with explosive gas, and the shock waves are also efficiently coupled toa coal bed.

The invention provides a coal mine down-hole fire monitoring system based on a wireless sensor network. The system comprises a monitoring host, a communication master station and the wireless sensor network, wherein the wireless sensor network communicates with the monitoring host through the communication master station, is a ZigBee wireless self-organized network and comprises a wireless sensorand a wireless gateway; and the wireless sensor is used for acquiring coal mine safety data and wirelessly transmitting the coal mine safety data and comprises a wireless carbon monoxide sensor, a wireless wind pressure sensor and a wireless temperature sensor. Therefore, according to the coal mine down-hole fire monitoring system based on the wireless sensor network provided by the embodiment ofthe invention, coal mine down-hole fire conditions can be timely and accurately monitored, the energy consumption of a wireless sensor network node can be effectively controlled, and the service lifeof the wireless sensor network can be prolonged.

The invention provides a testing method for the content of a coal seam methane sampled under a negative-pressure environment. The testing method comprises the following steps: sampling, namely carrying out in-situ measurement on the methane desorption amount; recording the final in-situ desorption amount V2; determining a methane desorption principle of a coal sample under the negative-pressure environment; carrying out lost methane amount calculation, namely calculating the loss amount V1 according to the measured methane desorption principle of the coal sample under the negative-pressure environment; carrying out residual methane amount laboratory determination, namely heating the coal sample in a sealed state and degassing in vacuum; testing the first-time degassing amount V3; crushing the coal sample by a ball grinding mill and degassing to determine the second-time degassing amount V4; carrying out gas component analysis in the degassing process; and determining the content X of the coal seam methane according to the V1, the V2, the V3 and the V4, and the weight m of the coal sample. The testing method for the content of the coal seam methane sampled under the negative-pressure environment is simple and feasible and particularly has important theoretical values and actual meanings on the desorption amount and the desorption principle of methane under the negative-pressure environment when negative-pressure pumping-out type spot sampling is carried out; the accuracy and the reliability of testing data can be greatly improved and theoretical data are provided for the coal mine safety production.

The invention discloses an embedded mine data substation which is an underground data acquisition and control device used in a coal mine safe production monitoring system. The substation comprises an intrinsic safety power source, an ARM controller mainboard, a CAN bus communication board, a display drive board, a liquid crystal display screen and an explosion-resistant enclosure. Real-time data of various sensors of analog quantity, switching value and cumulant, which are articulated with the mine data substation, is acquired in real time through a downlink RS485 bus, and the real-time data is displayed by the liquid crystal display screen; cutting off control is automatically performed to articulated output equipment by means of set control logic according to the change of the real-time data; the data is transmitted to a ground monitoring host computer through an uplink CAN bus interface and network monitoring is performed. The substation is suitable for underground environment of a coal mine, has functions of intelligent alarm, cutting off control and automatic network deployment, is an important component element in a masterless coal mine safe production monitoring system and can reduce the occurrence probability of coal mine safety accidents in time.

The invention discloses an intelligent coal mine safety monitoring helmet comprising a data acquiring module, a data preprocessing module, a processor module, a power supply module, a ZigBee wireless communicating module, a WiFi wireless communicating module, an inertial navigating module, a memory module and an alarming module. The helmet is provided with functions of environment monitoring, personnel positioning, video monitoring, audio communicating, wireless acquiring, automatic storing, determining and danger alarming of coal mine are realized, positioning information of underground personnel and video information of environment in the coal mine can be followed in real time, and humane audio communication of personnels on the ground and underground is implemented. The helmet relates to two different wireless communicating manners, namely ZigBee and WiFi; the ZigBee network has features of self-organizing and self-tuning, fine flexibility and scalability; and the WiFi(Wireless Fidelity) is fast in data transmitting speed, high in compatibility and safe and reliable.

The invention relates to the field of coal mine safety, in particular to a distributed optical fiber temperature measurement-based fire early warning method for a belt conveyor. The method comprises the following steps of: dividing a temperature measuring optical fiber into a temperature measuring point, a channel and an area, and processing temperature data measured by the temperature measuring optical fiber by an absolute temperature early warning method, an area relative temperature difference early warning method, an area normal distribution early warning method, a measuring point temperature rise slope early warning method and a measuring point temperature rise variation trend early warning method to acquire a channel threshold early warning characteristic value, an area threshold early warning characteristic value, an area relative temperature early warning characteristic value, an area temperature normal distribution statistical characteristic value, a measuring point threshold early warning characteristic value, a measuring point temperature rise slope early warning characteristic value and a measuring point temperature rise accumulated trend early warning characteristic value; inputting the characteristic values and the measuring point temperature rise accumulated trend early warning characteristic value into a back propagation (BP) neural network model; and outputting a warning coefficient, an early warning coefficient and a safety coefficient by using the BP neural network model.

A system and/or method for increasing safety in areas in which people work and/or through which people travel that potentially may become blocked (e.g. mines, mineshafts, tunnels, etc.) is provided. In certain example embodiments, a system and/or method is provided wherein a sensor locates individuals who may be trapped and conveys their location(s) after an area becomes blocked. Sensors may be disposed throughout the area, located on individuals, etc. Sensors may be located behind protected coverings (e.g. glass), and they may locate individuals through, for example, low power, ultrasound, infrared techniques, etc. In certain example embodiments of this invention, one or more conduits may provide a supply of breathable air to individuals who may be trapped after the area becomes blocked.

The invention provides an underground emergency evacuation virtual crowd simulation method based on multiple intelligent agents. A virtual mine emergency evacuation crowd simulation frame is built by using the underground emergency evacuation virtual crowd simulation method based on the multiple intelligent agents. The virtual mine emergency evacuation crowd simulation frame is mainly composed of five portions of a crowd simulation engine, a geometric scene simulation engine, a scene database, an event recorder and a human-computer interaction interface. In consideration of different understandings on mine knowledge and different behavior decisions of miners playing different roles when mine disasters occur, a multiple intelligent agent miner crowd emergency evacuation module and a crowd emergency evacuation algorithm for the different roles of the miners such as job foremen, expert miners, common miners and rescuers are built by using the underground emergency evacuation virtual crowd simulation method based on the multiple intelligent agents according to a role theory. The underground emergency evacuation virtual crowd simulation method based on the multiple intelligent agents can simulate true situations of a mine well, has good universality and verisimilitude, and can provide effective technical support for underground security accident analysis and prevention, mine safety training and rescue exercises.

The invention relates to a coal-mine gas monitoring system comprising a wireless sensor network, which belongs to coal-mine safety monitoring techniques. The system comprises a ground monitoring center and a wireless sensor network. The ground monitoring center comprises a monitoring centre client, a monitoring centre server and a common client; wherein the monitoring centre server is connected with both the monitoring centre client and the common client. The wireless sensor network comprises sensor network nodes, a network cluster head, and a wireless transceiver. The sensor network node comprises a processor module, a wireless communication module, a data acquisition module, an energy supply module, and an intelligent switch; wherein the wireless communication module, the data acquisition module and the intelligent switch are both connected with the processor module. The intelligent switch is connected in the circuit of the data acquisition module to control the power on/off thereof. The network cluster head receives the data sent from the sensor network nodes and communicates with the wireless transceiver. The system can real-time effective transmit data to monitor coal-mine gas, so as to reduce accidents and ensure coal-mine safety.

The invention discloses a high-pressure gas blasting-based coal seam roof advance presplitting method, which belongs to the technical field of mine safety. The method is performed according to the following steps: (1) forming a group of drilled holes in a coal seam roof every a certain distance on a conveying roadway and a track roadway of a working face, wherein each group of drilled holes is arranged in a fan shape and faces towards a goaf; (2) placing a gas detonation gun which is connected with a high-pressure gas compression system in the drilled hole and sealing the hole by using high-strength fast setting concrete or resin; (3) starting the high-pressure gas compression system and instantaneously releasing high-pressure gas in a high-pressure gas storage tank in the drilled hole through the gas detonation gun to blast so as to communicate the crack around the drilled holes with adjacent drilled holes; and (4) repeating the steps (2) and (3) on each group of drilled holes in sequence to finish advance presplitting of the coal seam roof. According to the method, the potential spark hazard of chemical explosive blasting is eliminated; and since the pressure of the high-pressure gas is controllable and impact blasting can be repeatedly performed on the rock body, the dynamic disturbance of a coal seam is small, the roof presplitting effect is good, and the method is environment-friendly, safe and reliable.

The invention discloses a positive pressure bundle pipe monitoring system for mine underground fire and toxic and harmful gas, belonging to the technical field of mine safety monitoring. The positive pressure bundle pipe monitoring system comprises a gas positive-pressure transportation system, a gas analysis system, a control system, a data acquisition system and a workstation. The system transports gas in a monitored area in a centralized positive pressure transportation manner to certain underground or ground sites to perform centralized detection on the components and the concentrations of the gas. Because the gas is transported in the positive pressure manner, the components and the concentrations of the gas in the gas transportation process are not distorted at all, the pipe is not easy to block, the transportation distance is long, no external water enters, whether the pipeline is damaged to leak gas is easy to detect, the gas can automatically enter the analysis detection device, and the detection result is accurate and reliable. The positive pressure bundle pipe monitoring system is applicable to the analysis and monitoring of coal spontaneous combustion in coal mines, exogenous mine fire and toxic and harmful gas in coal mines, and is also applicable to the analysis and monitoring of metal mine fire and toxic and harmful gas.

The invention relates to a mining wireless network communication system based on technology of an internet of things. The mining wireless network communication system comprises an application layer, a transmission layer and a sensing layer. The application layer comprises a voice server, a locating server, a video monitoring management server, a coal mine safety production scheduling server and an emergency command server, wherein the voice server, the locating server, the video monitoring management server, the coal mine safety production scheduling server and the emergency command server are connected with a network center switchboard. The transmission layer comprises a wireless network switching system connected with the network center switchboard. The sensing layer comprises a plurality of intelligent terminals arranged underground or on the ground and connected with the wireless network switching system in the transmission layer in wireless mode. By means of the mining wireless network communication system, real-time precise locating, bi-directional mobile communication and video monitoring of staff are achieved. During an emergency situation, emergency early warning can be conducted, communication can be recovered fast, life detection can be conducted, and miners in distress can be searched and rescued. Simultaneously, wires such as cables and optical fibers are saved, materials and energy are saved, and potential safety hazards are reduced.

The invention discloses a coal mine rock burst united monitoring and early warning system and a monitoring and early warning method thereof. An electromagnetic radiation monitor, a rock noise monitor and a microquake monitor are arranged on monitoring points of a coal mine excavation roadway or a transportation roadway of a coal mining working face, an air return way of the coal mining working face and monitoring points of the coal mining working face, a control receiver is arranged on a mining roadway, a ground monitoring system station is installed on the ground, the electromagnetic radiation monitor, the rock noise monitor and the microquake monitor are all connected with the control receiver, and the control receiver is connected with the ground monitoring system station. Three kinds of monitoring are integrated and interact and supplement in the monitoring process, systematic advantages are used for conducting system analysis on the monitoring result, the high-quality monitoring and early warning effect is guaranteed, the precise and scientific monitoring and early warning method is provided, and coal mine safety production is protected against damage of rock burst.