Safety early warning method for open pit coal mine and related device

Abstract

The invention discloses a safety early warning method for an open pit coal mine and a related device, and relates to the technical field of software, and the method comprises the steps: positioning a target outsourcing vehicle in the open pit coal mine, so as to obtain the position information of the target outsourcing vehicle; determining early warning index information of the target outsourcing vehicle based on the position information; and performing safety early warning on the target outsourcing vehicle according to the early warning index information. According to the method, safety early warning is performed on the outsourcing vehicle by positioning the outsourcing vehicle, the vehicle safety management and control effect can be effectively improved, the transportation safety of employees and the vehicle is ensured, and meanwhile the transportation efficiency and the management effect can be improved.

Description

Technical Field

[0001] The present application relates to the field of software technology, and in particular to a safety early warning method and related devices for open-pit coal mines. Background Art

[0002] As we all know, transportation safety has always been the focus of coal mining enterprises and one of the major risks of open-pit coal mines. The safety control of outsourced transportation has become the top priority of safety control due to factors such as multiple equipment with poor working conditions, miscellaneous personnel and many violations, and difficult supervision of outdated equipment. In addition, with the increase in coal mine capacity, the stripping volume has increased sharply, which has led to an increase in outsourced vehicles, causing high-density traffic problems, bringing new challenges to the safety production and efficiency improvement of open-pit coal mines.

[0003] Therefore, how to achieve transportation safety control of outsourced vehicles has become an urgent problem that needs to be solved at this stage. Summary of the invention

[0004] In view of the above problems, this application provides a safety early warning method and related devices for open-pit coal mines to achieve the purpose of transport safety control of outsourced vehicles. The specific scheme is as follows:

[0005] The first aspect of the present application provides a safety early warning method for an open-pit coal mine, the safety early warning method for an open-pit coal mine comprising:

[0006] Positioning a target outsourced vehicle in an open-pit coal mine to obtain position information of the target outsourced vehicle;

[0007] Determining the warning indicator information of the target outsourced vehicle based on the location information;

[0008] A safety warning is issued to the target outsourced vehicle according to the warning indicator information.

[0009] In a possible implementation, determining the warning indicator information of the target outsourced vehicle based on the location information includes:

[0010] Determine the production area where the location information is located, and determine the corresponding production link according to the production area;

[0011] If the production link is an upstream procurement and installation link, first distance information between the target outsourced vehicle and other outsourced vehicles, and second distance information between the target outsourced vehicle and a work team are obtained;

[0012] If the production link is a transportation link, obtaining third distance information between the target outsourced vehicle and other outsourced vehicles, speed information of the target outsourced vehicle, and fourth distance information between the target outsourced vehicle and a transportation retaining wall;

[0013] If the production link is a downstream soil discharge link, the fifth distance information between the target outsourced vehicle and other outsourced vehicles and the sixth distance information between the target outsourced vehicle and the soil discharge retaining wall are obtained.

[0014] In a possible implementation, the determining the warning indicator information of the target outsourced vehicle based on the location information further includes:

[0015] If the production link is a downstream soil discharge link, obtaining a surrounding environment image of the target outsourced vehicle;

[0016] The surrounding environment image is input into a pre-trained risk prediction model, and the risk prediction model is used to determine whether the target outsourced vehicle has a soil dumping risk. The risk prediction model is obtained by training based on a convolutional neural network model.

[0017] In a possible implementation, the open-pit coal mine safety early warning method further includes:

[0018] Weighing the target outsourced vehicle to obtain weight information of the target outsourced vehicle;

[0019] The location information and the weight information are synchronously analyzed to determine a transportation track of the target outsourced vehicle, wherein the transportation track includes the transportation status of the target outsourced vehicle at different location points and loading and unloading location points.

[0020] In a possible implementation, the open-pit coal mine safety early warning method further includes:

[0021] A transportation distance distribution map is generated based on the transportation trajectory.

[0022] In a possible implementation, the open-pit coal mine safety early warning method further includes:

[0023] Cluster analysis is performed on the transport trajectory to obtain soil and rock flow direction information.

[0024] A second aspect of the present application provides a safety early warning device for an open-pit coal mine, the safety early warning device for an open-pit coal mine comprising:

[0025] An information acquisition module is used to locate a target outsourced vehicle in an open-pit coal mine to obtain position information of the target outsourced vehicle;

[0026] A safety warning module is used to determine the warning index information of the target outsourced vehicle based on the position information; and to issue a safety warning to the target outsourced vehicle according to the warning index information.

[0027] The third aspect of the present application provides a computer program product, including computer-readable instructions. When the computer-readable instructions are executed on an electronic device, the electronic device implements the safety warning method for open-pit coal mines according to the first aspect or any implementation method of the first aspect.

[0028] A fourth aspect of the present application provides an electronic device, comprising at least one processor and a memory connected to the processor, wherein:

[0029] The memory is used to store computer programs;

[0030] The processor is used to execute the computer program so that the electronic device can implement the safety early warning method for open-pit coal mines of the first aspect or any implementation method of the first aspect.

[0031] The fifth aspect of the present application provides a computer storage medium, which carries one or more computer programs. When the one or more computer programs are executed by an electronic device, the electronic device can implement the safety warning method for open-pit coal mines according to the first aspect or any implementation method of the first aspect.

[0032] By means of the above technical solution, the present application provides a safety warning method and related devices for open-pit coal mines, which locate the target outsourced vehicles in the open-pit coal mines to obtain the location information of the target outsourced vehicles; determine the warning index information of the target outsourced vehicles based on the location information; and provide safety warnings for the target outsourced vehicles according to the warning index information. By locating outsourced vehicles and providing safety warnings, the present application can effectively improve the safety management and control of vehicles, ensure the transportation safety of employees and vehicles, and also improve transportation efficiency and management effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The above and other features, advantages and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the accompanying drawings, the same or similar reference numerals represent the same or similar elements. It should be understood that the drawings are schematic and the originals and elements are not necessarily drawn to scale.

[0034] Figure 1 A schematic diagram of a process flow of a safety early warning method for an open-pit coal mine provided in an embodiment of the present application;

[0035] Figure 2 A partial flow chart of a safety early warning method for an open-pit coal mine provided in an embodiment of the present application;

[0036] Figure 3 A schematic diagram of the structure of a safety warning device for an open-pit coal mine provided in an embodiment of the present application;

[0037] Figure 4A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0038] The following describes the embodiments of the present application in conjunction with the drawings in the embodiments of the present application. The terms used in the implementation method section of the present application are only used to explain the specific embodiments of the present application, and are not intended to limit the present application.

[0039] The embodiments of the present application are described below in conjunction with the accompanying drawings. Those skilled in the art will appreciate that, with the development of technology and the emergence of new scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0040] The terms "first", "second" etc. in the specification of the application and the above-mentioned drawings are used to distinguish similar objects, and need not be used to describe a specific order or sequential order. It should be understood that the terms used in this way can be interchangeable in appropriate circumstances, and this is only to describe the distinction mode adopted by the objects of the same attributes when describing in the embodiments of the application. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, so that the process, method, system, product or equipment comprising a series of units need not be limited to those units, but may include other units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0041] The open-pit outsourced vehicle transportation safety management and control system involves many modern technical theories such as mine system engineering technology, computer technology, satellite positioning technology, wireless communication technology, information management, etc. It is a system engineering involving multiple disciplines and fields. At present, there are many problems in outsourced vehicle transportation management. Safety relies on manual management, and it is impossible to achieve full-time, comprehensive and information management; mine car drivers have speeding, crossing boundaries, and insufficient driving and operating safety distances; stripping material flow, vehicle loading and unloading conditions, and vehicle comprehensive transportation information rely on manual statistics, which are not accurate enough and cannot be visualized to achieve real-time monitoring and historical backtracking; there is a lack of a comprehensive management and control platform for outsourced vehicle transportation safety. With the increasing requirements for safe production in the coal mining industry, coal mining enterprises have been subject to higher supervision and pressure in the management of outsourced vehicle transportation safety, and measures need to be taken to improve the management level of transportation safety to ensure the safety of employees and vehicles.

[0042] In this regard, the present application provides a safety early warning method and related devices for open-pit coal mines, which can improve the safety management level, optimize transportation efficiency, provide decision support and meet regulatory requirements, effectively respond to the management challenges of the coal mining industry, and improve the operational efficiency and safety production level of coal mining enterprises. The safety early warning method for open-pit coal mines of the present application embodiment is described in detail below in conjunction with the accompanying drawings.

[0043] See also Figure 1, Figure 1 A schematic diagram of a safety early warning method for an open-pit coal mine provided in an embodiment of the present application. Figure 1 As shown, a safety early warning method for an open-pit coal mine provided in an embodiment of the present application may include steps S10 to S30, and these steps are described in detail below.

[0044] S10, positioning the target outsourced vehicle in the open-pit coal mine to obtain position information of the target outsourced vehicle.

[0045] In the embodiment of the present application, Beidou / GPS global satellite positioning technology is adopted, and a sub-meter positioning terminal is installed for the outsourced vehicles to be warned in the open-pit coal mine (i.e., the target outsourced vehicles), so as to obtain real-time high-precision three-dimensional positioning information of the target outsourced vehicles, and upload it using the 4G / 5G wireless communication network with "end-cloud" transmission combination, so as to realize the precise positioning and trajectory tracing of the whole operation process of the outsourced equipment, and provide accurate location for emergency rescue of equipment in disaster situations.

[0046] S20, determining warning indicator information of the target outsourced vehicle based on the location information.

[0047] In an embodiment of the present application, information of the target outsourced vehicle under different warning indicators, that is, warning indicator information, such as the distance information between the target outsourced vehicle and other outsourced vehicles, and the speed information of the target outsourced vehicle, can be determined based on the location information of the target outsourced vehicle.

[0048] In a possible implementation, the three main production links of upstream collection and loading, transportation and downstream soil discharge are taken as the research process to determine the early warning indicator information of the target outsourced vehicles. Figure 2 , Figure 2 A partial flow chart of a safety early warning method for an open-pit coal mine provided in an embodiment of the present application. Figure 2 As shown, an embodiment of the present application provides a safety warning method for an open-pit coal mine, wherein step S20 "determines the warning index information of the target outsourced vehicle based on the location information" may include steps S201 to S204, and these steps are described in detail below.

[0049] S201, determine the production area of ​​the location information, and determine the corresponding production link according to the production area.

[0050] In the embodiment of the present application, since the three main production links of upstream mining and loading, transportation and downstream soil discharge occupy different production areas in the open-pit coal mine, the production area where the target outsourced vehicle is located can be determined based on its location information, and then the corresponding production link can be determined.

[0051] S202, if the production link is the upstream procurement and installation link, obtain the first distance information between the target outsourced vehicle and other outsourced vehicles, and the second distance information between the target outsourced vehicle and the work team.

[0052] In the embodiment of the present application, if the production link where the target outsourced vehicle is located is the upstream procurement link, the distance information between the target outsourced vehicle and other outsourced vehicles (i.e., the first distance information) can be obtained. The first distance information can be the distance information between the excavator and the mining truck, or the distance information between the mining truck and the mining truck to be loaded. In addition, the distance information between the target outsourced vehicle and the work team (i.e., the second distance information) can also be obtained. The second distance information is the distance information between the mining truck and the work team.

[0053] S203, if the production link is a transportation link, obtain third distance information between the target outsourced vehicle and other outsourced vehicles, speed information of the target outsourced vehicle, and fourth distance information between the target outsourced vehicle and the transportation retaining wall.

[0054] In the embodiment of the present application, if the production link where the target outsourced vehicle is located is the transportation link, the distance information between the target outsourced vehicle and other outsourced vehicles (i.e., the third distance information) can be obtained, and the third distance information is the distance information between the mining trucks. The speed information of the target outsourced vehicle can also be obtained, and the speed information is the speed information of the mining truck. In addition, the distance information between the target outsourced vehicle and the transport retaining wall (i.e., the fourth distance information) can also be obtained, and the fourth distance information is the distance information between the mining truck and the transport retaining wall.

[0055] S204, if the production link is the downstream soil discharge link, obtain the fifth distance information between the target outsourced vehicle and other outsourced vehicles, and the sixth distance information between the target outsourced vehicle and the soil discharge retaining wall.

[0056] In the embodiment of the present application, if the production link where the target outsourced vehicle is located is the downstream soil discharge link, the distance information between the target outsourced vehicle and other outsourced vehicles (i.e., the fifth distance information) can be obtained, and the fifth distance information is the distance information between the soil discharge equipment. In addition, the distance information between the target outsourced equipment and the soil discharge retaining wall (i.e., the sixth distance information) can also be obtained, and the sixth distance information is the distance information between the mining truck and the soil discharge retaining wall.

[0057] Therefore, this application can utilize the high-speed transmission, low latency, large-capacity connection and high reliability characteristics of 4G / 5G networks, combined with key technologies such as Internet of Things technology, network slicing, edge computing and security technology, to build a powerful and stable foundation for the Internet of Vehicles system, providing strong technical support for the full-time precise positioning and trajectory tracing of outsourced equipment throughout the entire operation process.

[0058] On this basis, the embodiment of the present application can also use key technologies such as image intelligent recognition and convolutional neural network (CNN) to warn of risks in the downstream soil discharge link, thereby building a new soil discharge safety model for open-pit coal mines. In this regard, the embodiment of the present application provides a safety warning method for open-pit coal mines, wherein step S20 "determines the warning indicator information of the target outsourced vehicle based on the location information" can also include the following steps:

[0059] If the production link is the downstream soil discharge link, obtain the surrounding environment image of the target outsourced vehicle; input the surrounding environment image into the pre-trained risk prediction model, and determine whether the target outsourced vehicle has the risk of soil discharge through the risk prediction model. The risk prediction model is obtained by training based on the convolutional neural network model.

[0060] In an embodiment of the present application, if the production link where the target outsourced vehicle is located is the downstream soil discharge link, the surrounding environment information is collected by installing monitoring equipment such as a camera that supports night vision function on the rear side of the target outsourced vehicle to obtain the surrounding environment image of the target outsourced vehicle.

[0061] The surrounding environment image of the target outsourced vehicle is input into the trained risk prediction model, and the risk prediction model is used to predict whether the target outsourced vehicle has a risk of soil dumping. Specifically, the risk prediction model is based on a convolutional neural network model, and the prediction result of the environmental image sample is close to its labeled result (whether there is a risk of soil dumping). The basic model is trained multiple times.

[0062] In practical applications, the reverse slope of the soil discharge location, the continuity of the safety retaining wall and the cracks on the edge of the soil discharge can be used as the basis for whether there is a soil discharge risk. If the reverse slope of the soil discharge location does not meet the requirement of 3% to 5%, or the height of the safety retaining wall does not meet the requirement of 2 / 5 to 3 / 5 of the tire diameter of the mining truck, or cracks appear on the edge of the soil discharge, it means that there is a soil discharge risk. Conversely, only when all requirements are met, it can be said that there is no soil discharge risk.

[0063] In this regard, the risk prediction model uses a convolutional neural network to perform multi-layer convolution operations to extract local features such as edges, textures, and shapes of the surrounding environment images of the target outsourced vehicle. As the convolution layer goes deeper, the convolutional neural network can combine simple local features into more complex features, and further calculate whether the reverse slope of the soil discharge position meets the requirements of 3% to 5%, whether the height of the safety retaining wall meets the requirements of 2 / 5 to 3 / 5 of the tire diameter of the mining truck, whether cracks appear on the edge of the soil discharge, etc., so as to complete the soil discharge safety risk warning.

[0064] S30, issuing a safety warning to the target outsourced vehicle according to the warning indicator information.

[0065] In the embodiment of the present application, after obtaining the early warning indicator information, the safety distance can be determined by setting the corresponding early warning conditions. For example, if the early warning indicator information includes distance information, the corresponding safety distance range can be set. If the early warning indicator information includes speed information, the corresponding safety speed range can be set. Of course, if the early warning indicator information includes the soil discharge risk prediction result, the soil discharge risk prediction result indicates that a safety warning is required when there is a soil discharge risk.

[0066] Only when the safe distance range and safe speed range are met and there is no risk of soil dumping can the target outsourced vehicle be determined to be in a safe state. On the contrary, if the safe distance range is not met, the safe speed range is not met, or there is a risk of soil dumping, a safety warning is required, and the warning information can be issued in various modes such as voice and pop-up windows.

[0067] In a possible implementation, the transport trajectory of the target outsourced vehicle can be generated by combining key technologies such as vehicle dynamic weighing sensors. In this regard, a safety early warning method for an open-pit coal mine provided in an embodiment of the present application may also include the following steps:

[0068] Weigh the target outsourced vehicle to obtain its weight information; simultaneously analyze the location information and weight information to determine the transportation trajectory of the target outsourced vehicle, which includes the transportation status of the target outsourced vehicle at different locations, as well as the loading and unloading locations.

[0069] Specifically, in the embodiment of the present application, the target outsourced vehicle is a mining truck, and a vehicle dynamic weighing device can be installed on the target outsourced vehicle to weigh the target outsourced vehicle and obtain the weight information of the target outsourced vehicle in real time. By synchronously analyzing the location information and weight information of the target outsourced vehicle, the transportation trajectory of the target outsourced vehicle can be determined, including the transportation status (loading status or unloading status) of the target outsourced vehicle at different locations, as well as the loading and unloading locations (loading point location and unloading point location).

[0070] Therefore, the transportation distance of the target outsourced vehicle can also be calculated through its transportation trajectory. The satellite positioning system has the characteristics of 24-hour continuous operation. By collecting the transportation trajectory of the target outsourced vehicle and analyzing the big data, it can comprehensively compare the transportation distances of different transportation routes and provide data support for optimizing the transportation plan.

[0071] Of course, by accurately identifying the loading and unloading locations of the target outsourced vehicle in a single cycle, it is possible to collect and count the number of loading and unloading times, one-way transport distance, lifting height and other information of a single mining truck, providing an important basis for the outsourced party to verify the quantity. In addition, based on the real-time high-precision three-dimensional positioning information of the target outsourced vehicle, the three-dimensional coordinates of the target outsourced vehicle at any time during the driving process can be determined in real time, and the lifting height under different circumstances can be calculated and counted through running trajectory analysis. By reasonably allocating the positions of vehicle loading and unloading points, the consumption during transportation can be effectively reduced, and the optimal vehicle shunting ratio plan can be obtained.

[0072] In a possible implementation, a transportation distance distribution map can also be generated based on the transportation trajectory of the target outsourced vehicle. Specifically, by statistically analyzing the transportation distance of the transportation trajectory and generating a transportation distance distribution map or report, the distribution of different transportation distance intervals can be understood. By analyzing historical data, the system can provide a trend analysis function for the transportation distance. Users can view the changing trend of the transportation distance, understand the distance changes in coal mine transportation activities, and conduct relevant analysis and evaluation.

[0073] In a possible implementation, cluster analysis can also be performed on the transportation trajectory of the target outsourced vehicles to obtain soil and rock flow information. By analyzing the vehicle operation trajectory and the composition of the mine road network, a mine road network model is established. Through the real-time positioning of the vehicle operation trajectory, a traffic flow planning model is established, and the location of the loading and unloading points, the distance of the mining truck, and the height of the truck during the transportation process are calculated and statistically analyzed to depict the soil and rock flow information between the open-pit coal mine and the dump. Specifically, key technologies such as cluster recognition algorithms are used to determine the single-cycle transportation information by analyzing the transportation trajectory of the target outsourced vehicles, automatically identify the level and position of each mining and loading platform and dumping flat plate, and clearly depict the soil and rock flow information between the open-pit coal mine and the dumping site. In addition, by statistically integrating the mining and loading position, dumping position, soil and rock type, and material weight of the outsourced equipment, a chart or visualization model of the soil and rock flow direction is generated to intuitively display the logistics relationship between the mining site and the dumping site.

[0074] Through the above description, the embodiment of the present application provides a safety warning method for open-pit coal mines. On the one hand, it can warn of insufficient distance, speeding, and safety risks in the mining and transportation links; on the other hand, it can characterize the soil and rock flow information between the open-pit coal mine mining area and the spoil dump; on the other hand, it can propose a more efficient scheduling and assignment plan based on the actual truck scheduling production and traffic flow planning results, thereby reducing transportation distance and improving operating efficiency, forming a vehicle transportation safety management and control system applied to large open-pit coal mines.

[0075] A safety early warning method for an open-pit coal mine provided in an embodiment of the present application is introduced above, and a device for executing the safety early warning method for an open-pit coal mine will be introduced below.

[0076] See also Figure 3 , Figure 3 A schematic structural diagram of a safety warning device for an open-pit coal mine provided in an embodiment of the present application.

[0077] like Figure 3 As shown, an open-pit coal mine safety warning device provided in an embodiment of the present application includes:

[0078] The information acquisition module 10 is used to locate the target outsourced vehicle in the open-pit coal mine to obtain the position information of the target outsourced vehicle;

[0079] The safety warning module 20 is used to determine the warning index information of the target outsourced vehicle based on the position information; and to issue a safety warning to the target outsourced vehicle according to the warning index information.

[0080] In a possible implementation, the safety warning module 20 for determining the warning indicator information of the target outsourced vehicle based on the location information is specifically used to:

[0081] Determine the production area where the location information is located, and determine the corresponding production link based on the production area; if the production link is the upstream procurement and loading link, obtain the first distance information between the target outsourced vehicle and other outsourced vehicles, and the second distance information between the target outsourced vehicle and the work team; if the production link is the transportation link, obtain the third distance information between the target outsourced vehicle and other outsourced vehicles, the speed information of the target outsourced vehicle, and the fourth distance information between the target outsourced vehicle and the transportation retaining wall; if the production link is the downstream soil discharge link, obtain the fifth distance information between the target outsourced vehicle and other outsourced vehicles, and the sixth distance information between the target outsourced vehicle and the soil discharge retaining wall.

[0082] In a possible implementation, the safety warning module 20 for determining the warning indicator information of the target outsourced vehicle based on the position information is further used to:

[0083] If the production link is the downstream soil discharge link, obtain the surrounding environment image of the target outsourced vehicle; input the surrounding environment image into the pre-trained risk prediction model, and determine whether the target outsourced vehicle has the risk of soil discharge through the risk prediction model. The risk prediction model is obtained by training based on the convolutional neural network model.

[0084] In a possible implementation, the security warning module 20 is further configured to:

[0085] Weigh the target outsourced vehicle to obtain its weight information; simultaneously analyze the location information and weight information to determine the transportation trajectory of the target outsourced vehicle, which includes the transportation status of the target outsourced vehicle at different locations, as well as the loading and unloading locations.

[0086] In a possible implementation, the security warning module 20 is further configured to:

[0087] Generate a distance distribution map based on the transportation trajectory.

[0088] In a possible implementation, the security warning module 20 is further configured to:

[0089] Cluster analysis is performed on the transport trajectories to obtain soil and rock flow direction information.

[0090] It should be noted that the detailed functions of each module in the embodiment of the present application can be found in the corresponding public part of the above-mentioned open-pit coal mine safety warning method embodiment, which will not be repeated here.

[0091] The present application also provides an electronic device in an embodiment. Figure 4 , Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device in the embodiment of the present application may include but is not limited to fixed terminals such as mobile phones, notebook computers, PDAs (personal digital assistants), PADs (tablet computers), desktop computers, etc. Figure 4 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0092] like Figure 4 As shown, the electronic device may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a storage device 408 to a random access memory (RAM) 403. When the electronic device is powered on, various programs and data required for the operation of the electronic device are also stored in the RAM 403. The processing device 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0093] Typically, the following devices may be connected to the I / O interface 405: an input device 406 including, for example, a touch screen, a touch pad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 407 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 408 including, for example, a memory card, a hard disk, etc.; and a communication device 409. The communication device 409 may allow the electronic device to communicate with other devices wirelessly or by wire to exchange data. Although Figure 4 An electronic device having various devices is shown, but it should be understood that it is not required to implement or possess all the devices shown. More or fewer devices may be implemented or possessed instead.

[0094] An embodiment of the present application also provides a computer program product including computer-readable instructions. When the computer-readable instructions are executed on an electronic device, the electronic device implements any open-pit coal mine safety warning method provided in the embodiment of the present application.

[0095] A computer-readable storage medium is also provided in an embodiment of the present application. The storage medium carries one or more computer programs. When one or more computer programs are executed by an electronic device, the electronic device can implement any open-pit coal mine safety warning method provided in an embodiment of the present application.

[0096] It should also be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the drawings of the device embodiments provided by the present application, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines.

[0097] Through the description of the above implementation mode, the technicians in the field can clearly understand that the present application can be implemented by means of software plus necessary general hardware, and of course, it can also be implemented by special hardware including special integrated circuits, special CPUs, special memories, special components, etc. In general, all functions completed by computer programs can be easily implemented by corresponding hardware, and the specific hardware structure used to implement the same function can also be various, such as analog circuits, digital circuits or special circuits. However, for the present application, software program implementation is a better implementation mode in more cases. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a readable storage medium, such as a computer floppy disk, a U disk, a mobile hard disk, a ROM, a RAM, a disk or an optical disk, etc., including a number of instructions to enable a computer device (which can be a personal computer, a training device, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0098] In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of a computer program product.

[0099] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from a website site, a computer, a training device, or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, training device, or data center. The computer-readable storage medium may be any available medium that a computer can store or a data storage device such as a training device, a data center, etc. that includes one or more available media integrations. The available medium may be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)), etc.

Claims

1. A safety early warning method for an open-pit coal mine, characterized in that: The safety early warning method for open-pit coal mines comprises: Positioning a target outsourced vehicle in an open-pit coal mine to obtain position information of the target outsourced vehicle; Determining the warning indicator information of the target outsourced vehicle based on the location information; A safety warning is issued to the target outsourced vehicle according to the warning indicator information.

2. The safety early warning method for open-pit coal mines according to claim 1, characterized in that: The determining of the warning indicator information of the target outsourced vehicle based on the position information includes: Determine the production area where the location information is located, and determine the corresponding production link according to the production area; If the production link is an upstream procurement and installation link, obtain first distance information between the target outsourced vehicle and other outsourced vehicles, and second distance information between the target outsourced vehicle and the work team; If the production link is a transportation link, obtaining third distance information between the target outsourced vehicle and other outsourced vehicles, speed information of the target outsourced vehicle, and fourth distance information between the target outsourced vehicle and a transportation retaining wall; If the production link is a downstream soil discharge link, the fifth distance information between the target outsourced vehicle and other outsourced vehicles and the sixth distance information between the target outsourced vehicle and the soil discharge retaining wall are obtained.

3. The safety early warning method for an open-pit coal mine according to claim 2, characterized in that: The step of determining the warning indicator information of the target outsourced vehicle based on the position information further includes: If the production link is a downstream soil discharge link, obtaining a surrounding environment image of the target outsourced vehicle; The surrounding environment image is input into a pre-trained risk prediction model, and the risk prediction model is used to determine whether the target outsourced vehicle has a soil dumping risk. The risk prediction model is obtained by training based on a convolutional neural network model.

4. The safety early warning method for open-pit coal mines according to claim 1, characterized in that: The safety early warning method for open-pit coal mines also includes: Weighing the target outsourced vehicle to obtain weight information of the target outsourced vehicle; The position information and the weight information are synchronously analyzed to determine a transportation track of the target outsourced vehicle, wherein the transportation track includes the transportation status of the target outsourced vehicle at different positions and loading and unloading positions.

5. The safety early warning method for open-pit coal mines according to claim 4, characterized in that: The safety early warning method for open-pit coal mines also includes: A transportation distance distribution map is generated based on the transportation trajectory.

6. The safety early warning method for open-pit coal mines according to claim 4, characterized in that: The safety early warning method for open-pit coal mines also includes: Cluster analysis is performed on the transport trajectory to obtain soil and rock flow direction information.

7. A safety warning device for an open-pit coal mine, characterized in that: The safety early warning device of the open-pit coal mine comprises: An information acquisition module is used to locate a target outsourced vehicle in an open-pit coal mine to obtain position information of the target outsourced vehicle; A safety warning module is used to determine the warning index information of the target outsourced vehicle based on the position information; and to issue a safety warning to the target outsourced vehicle according to the warning index information.

8. A computer program product, characterized in that It comprises computer-readable instructions, and when the computer-readable instructions are executed on an electronic device, the electronic device implements the safety early warning method for an open-pit coal mine as claimed in any one of claims 1 to 6.

9. An electronic device, characterized in that: The method comprises at least one processor and a memory connected to the processor, wherein: The memory is used to store computer programs; The processor is used to execute the computer program so that the electronic device can implement the safety early warning method for an open-pit coal mine as described in any one of claims 1 to 6.

10. A computer storage medium, characterized in that: The storage medium carries one or more computer programs, and when the one or more computer programs are executed by an electronic device, the electronic device can implement the safety warning method for an open-pit coal mine as described in any one of claims 1 to 6.

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