Intelligent AI mine acquisition early warning device

Abstract

The utility model relates to an intelligent AI mine acquisition and early warning device, which relates to the technical field of mine acquisition and early warning, and comprises mine enterprise equipment, an intelligent AI acquisition host, a router and a supervision module, the mine enterprise equipment is connected with the intelligent AI acquisition host; the intelligent AI acquisition host is connected with the router; the supervision module is provided with a server connected with the router; the supervision module obtains data through the server; the mine enterprise equipment comprises a data acquisition front-end processor, a switch, alarm equipment and a safety subsystem server; the data acquisition front-end processor, the security subsystem server and the alarm device are connected with the switch; and the switch is connected with the intelligent AI acquisition host. The method has the effects that a supervision department can supervise mine production enterprises, and major safety risk hidden danger checking and renovation of mines and key non-mine mountains can be conveniently carried out in time.

Description

Technical Field

[0001] The present application relates to the technical field of mine collection early warning systems, and in particular to an intelligent AI mine collection early warning device. Background Art

[0002] Mines are one of the important mineral resources in my country. Mining is mostly done underground. During the mining process, it is necessary to monitor the mining conditions underground at all times. In order to better ensure the safety of operations, a risk warning system is set up in the mines where mining is carried out. The existing risk warning system usually only realizes risk prevention and control at the construction site. Usually only enterprises carry out monitoring. High-definition cameras and image intelligent analysis equipment are usually installed at key points on the ground and underground of mines and key non-mines to monitor the production status and safety status of mines and key non-mines in real time, and analyze and judge whether mines and key non-mines have illegal production operations such as open stop and dark operation, overstaffing, etc.; the regulatory authorities are unable to implement supervision over mining operations, and it is inconvenient to carry out major safety risk hidden danger inspections and rectifications in mines and key non-mines. Summary of the invention

[0003] The purpose of this application is to provide an intelligent AI mine data collection and early warning device to solve the technical problem that "regulatory authorities are unable to achieve real-time supervision of mine mining operations."

[0004] The intelligent AI mine collection early warning device provided in this application adopts the following technical solution: an intelligent AI mine collection early warning device, including mining enterprise equipment, an intelligent AI collection host, a router and a supervision module;

[0005] The mining enterprise equipment is connected to the intelligent AI acquisition host; the intelligent AI acquisition host is connected to the router; the supervision module is provided with a server connected to the router; the supervision module obtains data through the server;

[0006] The mining enterprise equipment includes a data acquisition front-end, a switch, an alarm device and a safety subsystem server; the data acquisition front-end, the safety subsystem server and the alarm device are connected to the switch; and the switch is connected to the intelligent AI acquisition host.

[0007] By adopting the above technical solution, the data acquisition front-end of the mining enterprise equipment collects data at the mining site, and the data is transmitted to the switch, and then transmitted to the intelligent AI acquisition host through the switch. The intelligent AI acquisition host is located between the intranet of the mining enterprise and the intranet of the regulatory department. The data acquisition front-end is deployed in the mining enterprise, and the monitoring data of the subsystems such as mining industrial video, safety monitoring, personnel positioning, hydrological monitoring, power supply monitoring, and rock burst are collected through the mining front-end system, and transmitted to the supervision module through a dedicated line / Internet / VPN, so as to realize the supervision of mining and avoid illegal production operations.

[0008] Optionally, the data acquisition front-end includes an industrial video NVR for collecting video data and a security subsystem server for collecting other data; the data collected by the security subsystem server includes video data, personnel data, hydrological data, safety data, power supply monitoring data, impact ground pressure data and equipment data.

[0009] By adopting the above technical solution, the data acquisition front-end machine collects video data by connecting with the video monitoring system.

[0010] The data collection front-end and the management system of underground personnel location information are used to monitor the location information and activity trajectory of construction site workers.

[0011] The data acquisition front-end is connected to the hydrological monitoring system to collect hydrological data.

[0012] The data acquisition front-end is connected to the safety monitoring system to monitor parameters such as methane concentration, carbon monoxide concentration, carbon dioxide concentration, oxygen concentration, nitric oxide concentration, sulfur dioxide concentration, wind speed, wind pressure, temperature, smoke, power supply status, damper status, local fan start and stop, main fan start and stop status, and implement methane over-limit sound and light alarm, power off and methane wind power locking control systems to ensure construction safety.

[0013] The data collection front-end is connected to the power consumption monitoring system to collect power supply monitoring data.

[0014] Optionally, the intelligent AI acquisition host includes an enterprise intranet acquisition end mainboard and a supervision network end mainboard; the enterprise intranet acquisition end mainboard transmits data to the supervision network end mainboard unidirectionally.

[0015] By adopting the above technical solution, the data collected by the data acquisition front-end is transmitted unidirectionally from the enterprise intranet collection end mainboard to the supervision network end mainboard. The supervision network end mainboard cannot transmit the data to the enterprise intranet collection end mainboard. Hardware-level isolation can be achieved, which can effectively protect the system from malicious attacks and accidents, thereby ensuring data security.

[0016] Optionally, the enterprise intranet collection end mainboard will run the upper-level software as the display output source; the supervision network end mainboard plays the role of data storage and data reporting, does not output and display to the outside, and checks the data by logging into the server to realize the supervision of mining.

[0017] By adopting the above technical solution, the mainboard of the enterprise intranet collection end is connected to the display to realize real-time monitoring of the mining site conditions; the supervision network end mainboard stores and reports the data transmitted by the mainboard of the enterprise intranet collection end, but does not display it, thereby realizing the supervision of mining enterprises.

[0018] Optionally, the enterprise intranet collection end mainboard and the supervision network end mainboard are transmitted via a private protocol.

[0019] By adopting the above technical solution, the information that needs to be fed back is transmitted through a private protocol, which can improve communication security.

[0020] Optionally, the mainboard of the enterprise intranet collection end is installed with a first chip, a one-way sending network card, a first gigabit network card, a first running memory, a first storage memory and an AI computing power card; a display is connected to the mainboard of the enterprise intranet collection end; and the first gigabit network card is connected to a switch.

[0021] By adopting the above technical solution, the data acquisition front-end performs digital signature verification on the perception data collected by the mining enterprise, and saves it in a local secure data disk, realizing the data "black box" function.

[0022] The data obtained with the help of AI computing power cards can be used for image recognition, early warning monitoring, etc. through AI intelligent algorithms; it can also be judged through the early warning and alarm comprehensive module; it can also support real-time display of data on the smart platform.

[0023] Optionally, a second chip, a one-way receiving network card, a second gigabit network card, a second running memory, a second storage memory, and an extended storage memory are installed on the mainboard of the supervision network end; the second gigabit network card is connected to the supervision module.

[0024] By adopting the above technical solution, the main board of the supervision network end and the main board of the enterprise intranet collection end are connected to each other through a one-way receiving network card and a one-way sending network card, so as to realize one-way data transmission, realize hardware-level isolation, reduce the system from malicious attacks and thus improve the security of data transmission.

[0025] In summary, the present application includes at least one of the following beneficial technical effects:

[0026] 1. The data collection front-end of the mining enterprise equipment collects data at the mining site, and the data is transmitted to the switch, and then transmitted to the intelligent AI collection host through the switch. The intelligent AI collection host is located between the intranet of the mining enterprise and the intranet of the regulatory department. The data collection front-end is deployed in the mining enterprise, and the monitoring data of the subsystems such as mining industrial video, safety monitoring, personnel positioning, hydrological monitoring, power supply monitoring, and rock burst are collected through the mining front-end system. The data is transmitted to the supervision module through the server through a dedicated line / Internet / VPN, thereby realizing the supervision of mining to avoid illegal production operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic diagram of the overall structure of the embodiment of the present application;

[0028] Figure 2 This is a schematic diagram of the structure of the intelligent AI acquisition host in an embodiment of the present application;

[0029] Figure 3 This is a schematic diagram of the structure of the mainboard of the enterprise intranet collection terminal of the embodiment of the present application;

[0030] Figure 4 It is a schematic diagram of the structure of the main board of the supervisory network end according to an embodiment of the present application.

[0031] In the figure, 1. Mining enterprise equipment; 11. Data acquisition front-end; 111. Industrial video NVR; 112. Security subsystem server; 12. Switch; 13. Alarm device; 2. Intelligent AI acquisition host; 21. Enterprise intranet acquisition end motherboard; 211. First chip; 212. One-way sending network card; 213. First Gigabit network card; 214. First running memory; 215. First storage memory; 216. AI computing power card; 217. Display; 22. Supervision network end motherboard; 221. Second chip; 222. One-way receiving network card; 223. Second Gigabit network card; 224. Second running memory; 225. Second storage memory; 226. Extended storage memory; 3. Router; 4. Supervision module; 5. Server. DETAILED DESCRIPTION

[0032] The following is combined with Figure 1 -Attached Figure 4 , further details of this application are given.

[0033] Reference Figure 1, an intelligent AI mine data collection and early warning device, including a mining enterprise device 1, an intelligent AI data collection host 2, a router 3 and a supervision module 4; the mining enterprise device 1 is connected to the intelligent AI data collection host 2; the intelligent AI data collection host 2 is connected to the router 3; the supervision module 4 is provided with a server 5 connected to the router 3; the supervision module 4 obtains data through the server 5; the mining enterprise device 1 includes a data collection front-end machine 11, a switch 12, and an alarm device 13; the data collection front-end machine 11 and the alarm device 13 are connected to the switch 12; the switch 12 is connected to the intelligent AI data collection host 2.

[0034] The data acquisition front-end machine 11 of the mining enterprise equipment 1 collects data and transmits it to the switch, and the switch 12 transmits the data to the intelligent AI front-end machine. The intelligent AI acquisition host 2 of the equipment external network connection architecture is located between the mining enterprise equipment 1 and the intranet 2 of the regulatory department; the data acquisition front-end machine 11 is deployed in the mining enterprise, and the mining industrial video, safety monitoring, personnel positioning, hydrological monitoring, power supply monitoring, impact ground pressure and other subsystem monitoring and monitoring data are collected through the mining front-end system, and transmitted to the intelligent AI acquisition host 2, and then transmitted to the server through the intelligent AI acquisition host 2, and then transmitted to the supervision module through the server through a dedicated line / Internet / VPN, thereby realizing the supervision of mining to reduce illegal production operations.

[0035] In order to better collect data, the data acquisition front-end 11 optionally includes an industrial video NVR 111 for collecting video data and a security subsystem server 112 for collecting other data; the data collected by the security subsystem server 112 includes video data, personnel data, hydrological data, safety data, power supply monitoring data, rock burst data and equipment data; the industrial video NVR 111 collects video data from the construction site, and the data acquisition front-end 11 stores the data in the intelligent AI acquisition host 2 after collecting the data, so that the enterprise can view the data and the supervision and inspection department can retrieve the data, so as to supervise the mine production in time; the intelligent AI acquisition host 2 transmits the video data and the security data through the internal one-way transmission channel, and then uses the national secret algorithm, combined with the time service, the front-end equipment identification, the basic information of the enterprise and other data, to perform digital signature verification on the perception data collected by the mining enterprise end, and save it in a local secure data disk to realize the data "black box" function. At the same time, it also has a multi-level network upload function, which can upload local data to the supervision platform regularly.

[0036] Reference Figure 1The intelligent AI acquisition host 2 includes an enterprise intranet acquisition terminal mainboard 21 and a supervision network terminal mainboard 22; the enterprise intranet acquisition terminal mainboard 21 will run the upper-level software as the output source of the display 217; the display 217 can display the video and data of the mining site, so that the enterprise workers can monitor the mining in real time, which can effectively prevent mining accidents; the supervision network terminal mainboard 22 plays the role of data storage and reporting, and does not output and display to the outside; the enterprise intranet acquisition terminal mainboard 21 transmits data to the supervision network terminal mainboard 22 in one direction; the supervision network terminal mainboard 22 is connected to the supervision system server; the enterprise intranet acquisition terminal mainboard 21 transmits data to the supervision network terminal mainboard 22, and finally logs in to the supervision system server to check the relevant data, which can effectively avoid data information leakage.

[0037] The data collected by the data acquisition front-end machine 11 is transmitted to the enterprise intranet acquisition terminal mainboard 21 and stored in the enterprise intranet acquisition terminal mainboard 21. The enterprise intranet acquisition terminal mainboard 21 runs the upper-layer software as the output source of the display 217, which is convenient for the enterprise to monitor the mining site in time; the enterprise intranet acquisition terminal mainboard 21 transmits the data unidirectionally to the supervision network terminal mainboard 22, and stores the data in the supervision network terminal mainboard 22. The supervision network terminal mainboard 22 is connected to the supervision system server, and the supervision department can retrieve data through the server to supervise the mining site; the data collected by the data acquisition front-end machine 11 is transmitted unidirectionally from the enterprise intranet acquisition terminal mainboard 21 to the supervision network terminal mainboard 22. The supervision network terminal mainboard 22 cannot transmit the data to the enterprise intranet acquisition terminal mainboard 21, which can achieve hardware-level isolation and effectively protect the system from malicious attacks and accidents, thereby ensuring data security.

[0038] Reference Figure 2 The enterprise intranet collection end motherboard 21 and the supervision network end motherboard 22 are transmitted through a private protocol; the data information between the enterprise intranet collection end motherboard 21 and the supervision network end motherboard 22 is transmitted from the enterprise intranet collection end motherboard 21 to the supervision network end motherboard 22 through a set of unidirectional transmission network cards, and some information that needs to be fed back is transmitted through the RS232 channel through a private protocol; hardware-level isolation can be achieved, which can effectively protect the system from malicious attacks and accidents, thereby ensuring data security.

[0039] Reference Figure 3 The mainboard 21 of the enterprise intranet collection terminal is equipped with a first chip 211, a one-way sending network card 212, a first gigabit network card 213, a first running memory 214, a first storage memory 215 and an AI computing power card 216; a display 217 is connected to the mainboard 21 of the enterprise intranet collection terminal; the first gigabit network card 213 is connected to the switch 12;

[0040] Reference Figure 4, the supervision network end motherboard 22 is installed with a second chip 221, a one-way receiving network card 222, a second gigabit network card 223, a second running memory 224, a second storage memory 225, and an extended storage memory 226; the second gigabit network card 223 is connected to the supervision module 4; an AI computing power card 216 is set on the enterprise intranet collection end motherboard 21, which can perform comprehensive processing on the data collected by the data collection front-end 11 and store it in the first storage memory 215. The processed data is transmitted unidirectionally to the supervision network end motherboard 22 and stored in the second storage memory 225 through the cooperation between the one-way sending network card 212 and the one-way receiving network card 222; through one-way data transmission, hardware-level isolation is achieved, the system is reduced from malicious attacks, and the security of data transmission is improved;

[0041] Installing an extended storage memory 226 on the supervisory network end mainboard 22 can expand the data storage capacity of the supervisory network end mainboard 22;

[0042] The data is processed by the AI ​​computing card 216 and then transmitted to the monitoring network end mainboard 22, which can reduce the amount of data transmission.

[0043] The embodiments of this specific implementation are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. The same components are represented by the same figure marks. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. An intelligent AI mine collection early warning device, characterized by: It includes mining enterprise equipment (1), intelligent AI acquisition host (2), router (3) and supervision module (4); The mining enterprise equipment (1) is connected to an intelligent AI acquisition host (2); the intelligent AI acquisition host (2) is connected to a router (3); the monitoring module (4) is provided with a server (5) connected to the router (3); the monitoring module (4) obtains data through the server (5); The mining enterprise equipment (1) comprises a data acquisition front-end machine (11), a switch (12) and an alarm device (13); the data acquisition front-end machine (11) and the alarm device (13) are connected to the switch (12); and the switch (12) is connected to an intelligent AI acquisition host (2).

2. According to claim 1, the intelligent AI mine collection early warning device is characterized in that: The data acquisition front-end (11) comprises an industrial video NVR (111) for acquiring video data and a security subsystem server (112) for acquiring data; the data acquired by the security subsystem server (112) comprises video data, personnel data, hydrological data, safety data, power supply monitoring data, rock burst data and equipment data.

3. The intelligent AI mine collection early warning device according to claim 1 is characterized in that: The intelligent AI acquisition host (2) comprises an enterprise intranet acquisition end mainboard (21) and a supervision network end mainboard (22); the enterprise intranet acquisition end mainboard (21) unidirectionally transmits data to the supervision network end mainboard (22).

4. The intelligent AI mine collection early warning device according to claim 3 is characterized in that: The enterprise intranet collection end mainboard (21) will run the upper layer software as the output source of the display (217); the supervision network end mainboard (22) plays the role of data storage and reporting, and does not output and display to the outside.

5. The intelligent AI mine collection early warning device according to claim 3 is characterized in that: The enterprise intranet collection end mainboard (21) and the supervision network end mainboard (22) are transmitted via a private protocol.

6. The intelligent AI mine collection early warning device according to claim 3 is characterized in that: The enterprise intranet collection terminal mainboard (21) is installed with a first chip (211), a one-way transmission network card (212), a first gigabit network card (213), a first operating memory (214), a first storage memory (215) and an AI computing power card (216); the enterprise intranet collection terminal mainboard (21) is connected to a display (217); and the first gigabit network card (213) is connected to a switch (12).

7. The intelligent AI mine collection early warning device according to claim 6 is characterized in that: The monitoring network end mainboard (22) is equipped with a second chip (221), a one-way receiving network card (222), a second gigabit network card (223), a second operating memory (224), a second storage memory (225), and an extended storage memory (226); The second Gigabit network card (223) is connected to the monitoring module (4).

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