Small mining information acquisition workstation

Abstract

The invention relates to a small mining information acquisition workstation, which belongs to the technical field of coal mine underground environment safety monitoring, and comprises a data acquisition module, a data processing and control center, a wireless communication module, an energy supply module and an upper computer, the data acquisition module is used for acquiring working face roadway multi-source data and sending the data to the data processing and control center through a wireless network; the data processing and control center stores and backs up the acquired roadway multi-source data and sends the data to the upper computer through the wireless communication module; the upper computer finally sends the roadway multi-source data sent by the data processing and control center to the center machine and compares the roadway multi-source data with a preset safety threshold value, and if the roadway multi-source data exceed the safety threshold value, danger early warning is carried out. And the energy supply module is used for supplying power to the data processing and control center.

Description

Technical Field

[0001] The invention belongs to the technical field of underground coal mine environmental safety monitoring and relates to a small-sized mining information collection workstation. Background Art

[0002] The tunnel is the infrastructure and lifeline of underground coal mines. It constitutes a complex network of underground coal mines. It not only bears the heavy task of ventilation, transportation of materials and personnel, but also serves as a key escape route in an emergency. Among them, the working face tunnel is particularly important because it is directly adjacent to the active area of ​​coal mining. Its environmental safety is directly related to the effectiveness of mine disaster prevention and control and the life safety of construction workers. With the continuous increase in coal mining depth and the increasing complexity of geological conditions, the risk of geological disasters faced by working face tunnels has increased significantly. At the same time, the country's high attention to coal mine safety and the rapid advancement of intelligent mine construction have put forward higher requirements for underground monitoring technology. However, the existing monitoring technology system has shown obvious shortcomings in responding to the all-round safety protection needs under complex geological environments and dynamic mining conditions, and technological innovation is urgently needed to fill this gap.

[0003] At present, the wired video monitoring system based on industrial Ethernet, which is widely used in the coal mining industry, has achieved preliminary monitoring of the underground environment to a certain extent, but its technical limitations are fully exposed in practical applications. First, such systems rely on the laying of a large number of cables. Under the influence of mining, the working face tunnels often deform, resulting in frequent problems such as cable breakage, interface oxidation or poor contact. Once a single point failure occurs, the monitoring function of the local area will completely fail, forming a safety blind spot, which directly weakens the reliability of the system. Secondly, the underground environment has the typical characteristics of high dust concentration and low light. The performance of traditional visible light camera equipment under such special working conditions is worrying. Its effective recognition distance is usually less than 15 meters, and it is impossible to perform real-time imaging of long-distance or highly invisible areas. This means that potential sources of danger may quietly accumulate outside the field of vision, and it is difficult for existing systems to provide timely warnings. In addition, the coverage of current monitoring methods is relatively narrow, mainly limited to the collection of video images and a few gas parameters (such as methane and carbon monoxide concentrations), while the monitoring of mechanical and geological coupling parameters such as formation pressure, equipment operating current, and vibration characteristics is seriously insufficient. This single monitoring dimension makes it difficult to capture the multi-dimensional precursor information before a disaster occurs, which greatly reduces the accuracy and comprehensiveness of safety warnings.

[0004] In recent years, the industry has proposed some improvement plans for the above problems, such as introducing multi-source sensors and new monitoring equipment. However, these plans still have significant limitations in practical applications. On the one hand, multi-source heterogeneous sensors usually use their own independent transmission channels, which makes it difficult to accurately align data from different sources in time and space. This data dispersion seriously restricts the correlation analysis capabilities of multi-physical field information, making it impossible for the system to effectively reveal the deep laws behind the occurrence of disasters. For example, in coal and gas outburst accidents, abnormal gas concentration may be closely related to changes in stratum stress, but if the data of the two cannot be analyzed synchronously, the sensitivity and reliability of the early warning will be limited. On the other hand, the existing fixed sensor deployment mode is difficult to adapt to the dynamic nature of mining operations. With the continuous advancement of the working face or the evolution of geological conditions, the monitoring needs will change significantly, and fixedly deployed sensors often cannot flexibly adjust their positions or functions, resulting in insufficient monitoring in some areas and possible waste of resources in other areas. This static monitoring method is obviously out of touch with the requirements of modern smart mines for flexibility and adaptability.

[0005] The working face tunnel is not only the core area of ​​coal production, but also the only escape route for on-site personnel when disaster accidents occur. The importance of its safety guarantee is self-evident. However, in actual production, catastrophic events such as coal and gas outbursts, rock bursts (sudden rock ejection) and water disasters (water gushing) still occur from time to time, posing a serious threat to the safety of construction workers. Coal and gas outbursts are violent eruptions caused by high gas pressure and insufficient coal body strength, which may release a large amount of coal dust and toxic gases in an instant; rock bursts are sudden ruptures caused by excessive accumulation of rock stress, accompanied by high-speed splashing rock blocks that pose a fatal threat to personnel and equipment; and water gushing accidents often result from accidental penetration of aquifers during mining, causing tunnels to be rapidly flooded. The common characteristics of these disasters are sudden occurrence, strong destructive power, and difficult to detect early signs. Once an accident occurs, the smoothness of the working face tunnel directly determines the survival rate of personnel. Therefore, comprehensive and real-time information collection and analysis of the environmental status of key nodes in the tunnel can not only provide a scientific basis for disaster prevention and control, but also provide timely warnings and escape guidance for on-site personnel, thereby maximizing the safety of production and construction.

[0006] In order to meet the above challenges, coal mine safety monitoring technology urgently needs to move towards a more comprehensive and intelligent direction. An ideal monitoring system should have multi-dimensional data collection capabilities, covering parameters such as gas concentration, temperature, humidity, formation pressure, vibration, equipment operation status, and water level flow, and build a more three-dimensional safety assessment system through the fusion analysis of multi-source data. At the same time, the rapid development of modern science and technology provides strong support for this goal. For example, the mature application of wireless communication technology can replace traditional wired systems and solve the problems of cable fragility and wiring difficulties; low-power sensors and edge computing technology make real-time data processing and localized analysis possible, thereby improving the response speed and reliability of the system. In addition, the introduction of the Internet of Things and artificial intelligence has further promoted the intelligent development of monitoring systems. The Internet of Things technology can realize the seamless interconnection of sensor networks and ensure real-time sharing of data; and artificial intelligence algorithms can identify abnormal patterns, predict potential risks, and even automatically trigger safety countermeasures through deep mining of massive data. These technological advances have laid the foundation for building a flexible, scalable and efficient monitoring network.

[0007] In addition to technical considerations, improving the level of coal mine safety monitoring also has far-reaching economic and social significance. Mine accidents not only cause casualties, but also lead to production stagnation, equipment damage and high economic compensation, which imposes a heavy burden on enterprises. At the same time, frequent accidents may damage the social image of enterprises, weaken the legitimacy of their operating licenses and the trust of investors. By deploying advanced monitoring systems, coal mines can significantly reduce the incidence of accidents and reduce the direct and indirect losses caused by them. This forward-looking safety strategy is not only a manifestation of responsibility for the lives of employees, but also helps to promote the sustainable development of the coal industry and set an industry benchmark that emphasizes both safety and efficiency.

[0008] However, the above emerging technologies will bring a new problem, that is, the deployment cost is extremely high, the professionalism is high, and the maintenance is difficult, so how to balance multiple issues is a difficult problem. Summary of the invention

[0009] In view of this, an object of the present invention is to provide a small-scale mining information collection workstation based on a wireless sensor network.

[0010] In order to achieve the above object, the present invention provides the following technical solutions:

[0011] A small-scale mining information collection workstation includes a data collection module, a data processing and control center, a wireless communication module, an energy supply module and a host computer;

[0012] The data acquisition module is used to collect multi-source data of the working face and tunnel, and send it to the data processing and control center through a wireless network;

[0013] The data processing and control center stores and backs up the collected multi-source data of the working face and tunnel, and sends it to the host computer through the wireless communication module;

[0014] The host computer finally sends the multi-source data of the lane sent by the data processing and control center to the central computer, and compares it with its preset safety threshold. If the safety threshold is exceeded, a danger warning is issued;

[0015] The energy supply module is used to supply power to a data processing and control center.

[0016] Further, the data acquisition module includes an environment state perception sensor matrix and an A / D converter;

[0017] The environmental state sensing sensor matrix is ​​composed of a plurality of wireless sensors, including a temperature sensor, a humidity sensor, a liquid level sensor, a pressure sensor, a current sensor, a gas concentration sensor, and an oxygen concentration sensor;

[0018] The A / D converter is connected to the environment state perception sensor matrix, performs analog-to-digital conversion on the data collected by the wireless sensor, and then uploads it to the data processing and control center through the wireless network.

[0019] Further, the data processing and control center includes a microprocessor and a memory;

[0020] The microprocessor is used to control and receive the data collected by each wireless sensor, save the data within a period of time into the memory, and send it to the host computer through the wireless communication module.

[0021] Furthermore, the data processing and control center is also connected to an LED display screen and an ID recognition module;

[0022] The LED display screen is used to display the parameter information currently collected by each wireless sensor and the danger warning information issued by the host computer in real time;

[0023] The ID identification module is used to identify the user ID and only supports the identified user to control the data processing and control center.

[0024] Furthermore, the data acquisition module also includes a camera and an infrared thermal imager.

[0025] Furthermore, the workstation is also provided with a buzzer, a three-color light and a wireless broadcast, which are used to give an alarm according to the danger warning information sent by the host computer.

[0026] The beneficial effects of the present invention are:

[0027] 1) The present invention discloses a small-scale mining information collection workstation, which comprehensively considers various factors including tunnel temperature, oxygen concentration, gas, water hazards, dangerous current, etc. when the working face tunnel is carrying out production tasks, realizes comprehensive and reliable parameter monitoring and management of the working face tunnel performance, and fully considers safety production and orderly management issues.

[0028] (2) The present invention discloses a small-scale mining information collection workstation, which is highly integrated in a small volume at the on-site end, occupies few resources, can be customized according to needs, can be used in a portable mobile network, and is fully integrated, which can provide more diverse and flexible implementation forms for the construction of intelligent monitoring systems in underground coal mines.

[0029] (3) The invention discloses a small-scale mining information collection workstation, which builds a full-chain monitoring and protection system and is the key link in the closed loop of information "extraction-fusion-decision-control". The entire system relies on wireless communication connection, has a simple structure and high reliability. The intelligent and grid-based system is integrated into the overall background of intelligent construction in coal mines, making safety monitoring and protection more efficient, more accurate and more functional.

[0030] Other advantages, objectives and features of the present invention will be described in the following description to some extent, and to some extent, will be obvious to those skilled in the art based on the following examination and study, or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be realized and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be described in detail below in conjunction with the accompanying drawings, wherein:

[0032] Figure 1 This is the structural diagram of a small mining information collection workstation;

[0033] Figure 2 Schematic diagram of the working distribution of the environmental status perception module. DETAILED DESCRIPTION

[0034] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments only illustrate the basic concept of the present invention in a schematic manner, and the following embodiments and features in the embodiments can be combined with each other without conflict.

[0035] Among them, the drawings are only used for illustrative explanations, and they only represent schematic diagrams rather than actual pictures, and should not be understood as limitations on the present invention. In order to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of actual products. For those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0036] The same or similar numbers in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if the terms "upper", "lower", "left", "right", "front", "rear", etc. indicate the orientation or position relationship, they are based on the orientation or position relationship shown in the drawings, which 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 operate in a specific orientation. Therefore, the terms describing the position relationship in the drawings are only used for illustrative purposes and cannot be understood as limiting the present invention. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0037] Embodiment 1:

[0038] The present invention provides a small mining information collection workstation based on wireless sensor network (WSN) to solve the problems of single monitoring form of key positions in working face tunnels in coal mines, lack of environmental perception, and complex construction of safety monitoring system. It uses multi-dimensional environmental information on site to assist multi-data fusion intelligent decision-making, introduces intelligent early warning into underground tunnels, and enables tunnels to effectively monitor and protect against gas, water damage, rock burst and other dangerous accidents under the framework of "intelligent safety". In order to achieve the requirements of monitoring and early warning of potential dangers in working face tunnels in coal mines, this solution proposes a small mining information collection workstation, such as Figure 1 The system design relies on intelligent sensor technology and wireless communication technology, and uses a variety of wireless sensors to form a tunnel environment perception sensor matrix to collect multi-source scene information of the entire tunnel within the workstation range. After A / D conversion, it is transmitted to the upper computer through the communication part in the module, so that the dispatching center can obtain a comprehensive and accurate description of the entire tunnel in real time after analysis and integration, and realize all-round danger monitoring and safety management of key parts of underground mine tunnels.

[0039] The tunnel is located in a long and narrow tunnel and the working area is not fixed as the drilling rig moves. However, all kinds of parameter information need to be received reliably and timely, so wireless communication technology is selected for signal transmission. In addition, the use of wireless communication technology to lay out the system is also conducive to saving costs, keeping the working space simple, and preventing leakage accidents caused by aging or rupture of the line. Specifically, the communication between the field sensor matrix and the microprocessor and the communication between the microprocessor and the host computer are all wirelessly communicated through Wi-Fi technology. The advantages are fast speed, high reliability, convenient access to the Internet, high mobility and low price.

[0040] In order to design a highly automated and anti-interference monitoring system, all types of sensors on site use intelligent wireless sensors. Based on the low cost and networking characteristics of intelligent sensors, combined with wireless communication technology, a low-cost and high-efficiency wireless sensor network (WSN) can be built to achieve multi-sensor data fusion, provide a strong fault tolerance for the entire monitoring system, reduce the missed alarm rate and false alarm rate, improve monitoring accuracy, and work normally in harsh environments.

[0041] The system includes a data acquisition module, a data processing and control center, a wireless communication module, an energy supply module and a host computer;

[0042] The data acquisition module is used to collect multi-source data from the working face and tunnel, and send it to the data processing and control center through the wireless network;

[0043] The data processing and control center stores and backs up the collected multi-source data of the working face and tunnel, and sends it to the host computer through the wireless communication module;

[0044] The host computer finally sends the multi-source data of the lane sent by the data processing and control center to the central computer, and compares it with its preset safety threshold. If the safety threshold is exceeded, a danger warning is issued;

[0045] The energy supply module is used to supply power to the data processing and control center.

[0046] Embodiment 2:

[0047] This embodiment provides a small-scale mining information collection workstation based on a wireless sensor network (WSN), such as Figure 2 As shown, the small-scale mining information collection workstation is mainly composed of a data collection module (including an environmental state perception sensor matrix, an A / D converter), a data processing and control center (including a microprocessor, a memory), a wireless communication module (a wireless transceiver in this embodiment) and an energy supply module (a battery in this embodiment). It obtains the most and most complete parameter information at the key positions of the tunnel, which is an important basis for the automation of the entire system.

[0048] The various sensors in the data acquisition module will continuously acquire various parameter information within the tunnel range in real time at a set frequency, such as the tunnel temperature, harmful gas concentration in the air (mainly gas), oxygen concentration, coal rock layer pressure, coal rock layer water content, mechanical abnormal current and voltage, etc. After digital-to-analog conversion, they are transmitted to the data processing and control center for processing and control. Optionally, the data acquisition module of this embodiment includes a temperature sensor, a humidity sensor, a liquid level sensor, a pressure sensor, a current sensor, a gas concentration sensor, an oxygen concentration sensor, and other controllable devices in the tunnel, such as a high-definition camera, an infrared thermal imager, etc.

[0049] The microprocessor of the data processing and control center will send the collected electrical signals to the upper computer through the wireless communication module, and finally transmit them to the remote central computer for scheduling. At the same time, the storage will store parameter information for a period of time to provide data backup function. All collected data have a rated safety range at the terminal. The central computer will compare and analyze the data uploaded by the microprocessor with the safety data. Once a parameter exceeds the safety range, an alarm message will be generated and corresponding control measures will be initiated, such as through Figure 1 The buzzer, three-color light and wireless broadcast shown in the figure will be used for early warning until the data is continuously normal, thus ensuring the safety within the lane.

[0050] Each module of the system is powered by a battery to provide normal operating voltage and eliminate wired power supply. An external LED display screen is set to display the current parameter information, power of each module of the system and other information in real time to provide a reference for on-site maintenance.

[0051] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution, which should be included in the scope of the claims of the present invention.

Claims

1. A small-scale mining information collection workstation, characterized in that: It includes data acquisition module, data processing and control center, wireless communication module, energy supply module and host computer; The data acquisition module is used to collect multi-source data of the lane and send it to the data processing and control center via a wireless network; The data processing and control center stores and backs up the collected multi-source data of the lanes, and sends it to the host computer through the wireless communication module; The host computer finally sends the multi-source data of the lane sent by the data processing and control center to the central computer, and compares it with its preset safety threshold. If the safety threshold is exceeded, a danger warning is issued; The energy supply module is used to supply power to a data processing and control center.

2. The small-scale mining information collection workstation according to claim 1 is characterized in that: The data acquisition module includes an environment state perception sensor matrix and an A / D converter; The environmental state sensing sensor matrix is ​​composed of a plurality of wireless sensors, including a temperature sensor, a humidity sensor, a liquid level sensor, a pressure sensor, a current sensor, a gas concentration sensor, and an oxygen concentration sensor; The A / D converter is connected to the environment state perception sensor matrix, performs analog-to-digital conversion on the data collected by the wireless sensor, and then uploads it to the data processing and control center through the wireless network.

3. The small-scale mining information collection workstation according to claim 1 is characterized in that: The data processing and control center includes a microprocessor and a memory; The microprocessor is used to control and receive the data collected by each wireless sensor, save the data within a period of time into the memory, and send it to the host computer through the wireless communication module.

4. The small-scale mining information collection workstation according to claim 1 is characterized in that: The data processing and control center is also connected to an LED display screen and an ID recognition module; The LED display screen is used to display the parameter information currently collected by each wireless sensor and the danger warning information issued by the host computer in real time; The ID identification module is used to identify the user ID and only supports the identified user to control the data processing and control center.

5. The small-scale mining information collection workstation according to claim 1 is characterized in that: The data acquisition module also includes a camera and an infrared thermal imager.

6. The small-scale mining information collection workstation according to claim 1 is characterized in that: The workstation is also equipped with a buzzer, a three-color light and a wireless broadcast, which are used to sound an alarm based on the danger warning information sent by the host computer.

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