Intelligent inspection control method, device and equipment for coal mine silo and medium

Abstract

The invention relates to an intelligent inspection control method, device and equipment for a coal mine silo and a medium, and is applied to the technical field of coal mine safety, the method comprises the following steps: acquiring first monitoring data, sound data, video data and a production task, the video data comprises an image video and an infrared video; determining an abnormal condition based on the first monitoring data, the sound data and the video data; determining an inspection control strategy based on the abnormal condition and the production task; controlling an inspection robot based on the inspection control strategy; acquiring second monitoring data of the inspection robot; determining an inspection result based on the first monitoring data and the second monitoring data; and determining a management strategy based on the inspection result. The method has the effect of improving the inspection efficiency of the silo.

Description

Technical Field

[0001] The present application relates to the technical field of coal mine safety, and in particular to a method, device, equipment and medium for intelligent inspection and control of coal mine silos. Background Art

[0002] With the continuous development of the coal mining industry, safe production has become a top priority. As a key link in the storage and transportation of coal mines, the safety and stability of silos are of vital importance. At present, inspections are usually used to improve the safety of silos.

[0003] However, the traditional silo inspection method mainly relies on manual work, which cannot achieve comprehensive and real-time monitoring of the equipment in the silo, and has low efficiency in safety detection. Summary of the invention

[0004] In order to improve the efficiency of silo inspection, the present application provides a coal mine silo intelligent inspection control method, device, equipment and medium.

[0005] In the first aspect, the present application provides a method for intelligent inspection and control of coal mine silos, which adopts the following technical solutions: A coal mine silo intelligent inspection control method, comprising: Acquire first monitoring data, sound data, video data and production tasks, wherein the first monitoring data is monitoring data of a sensor, and the video data includes image video and infrared video; determining an abnormal situation based on the first monitoring data, the sound data, and the video data; Determine an inspection control strategy based on the abnormal situation and the production task; Controlling the inspection robot based on the inspection control strategy; Acquire the second monitoring data of the inspection robot; Determine an inspection result based on the first monitoring data and the second monitoring data; A management strategy is determined based on the inspection result.

[0006] By adopting the above technical solution, abnormal situations are jointly determined by the first monitoring data, sound data and video data, thereby improving the accuracy of abnormal situations, automatically determining the inspection control strategy according to the abnormal situation and the production task, and controlling the inspection robot to perform inspections according to the inspection control strategy, thereby improving the inspection efficiency, and jointly determining the inspection results according to the first monitoring data and the second monitoring data, which can not only quickly determine the abnormalities in the equipment, but also simultaneously determine the abnormal situations of the monitoring equipment (sensors), and automatically determine the management strategy according to the inspection results, thereby further improving the efficiency of the silo inspection.

[0007] Optionally, the determining the abnormal situation based on the first monitoring data, the sound data, and the video data includes: Acquire first standard data, where the first standard data is standard data corresponding to the first monitoring data; Determine first abnormal information based on the first standard data and the first monitoring data; Acquire second standard data, where the second standard data is standard data corresponding to the second monitoring data; Determine second abnormal information based on the second standard data and the second monitoring data; Identify the video data to determine third abnormal information; An abnormal situation is determined based on the first abnormal information, the second abnormal information, and the third abnormal information.

[0008] Optionally, determining the inspection control strategy based on the abnormal situation and the production task includes: If the abnormal situation is that an abnormality exists, determining an abnormal area based on the abnormal situation; Determining the production task of the abnormal area as the first production task; If there are multiple abnormal areas, determining the start production time and delivery deadline of the first production task; Determining a task level based on the start production time and the delivery deadline; An inspection control strategy is determined based on the abnormal situation and the task level.

[0009] By adopting the above technical solution, when abnormalities exist in multiple areas, the inspection control strategy is determined according to the task level and the abnormal situation, so that the inspection robot can give priority to inspecting abnormal areas with serious abnormalities or higher task levels, thereby improving the reliability of the inspection control strategy.

[0010] Optionally, determining the task level based on the start production time and the delivery deadline includes: Get the current time; Determining the available time based on the current time and the delivery deadline; Determine an estimated production duration and an importance level based on the first production task; Determining a time limit level based on the estimated production time and the available time; Determine the elapsed production time based on the current time and the start production time; Determine the time to be produced based on the estimated production time and the produced time; The task level is determined based on the to-be-produced time, the time limit level, and the importance level.

[0011] By adopting the above technical solution, the task level is determined based on the production time, time limit level and importance level, which improves the reliability of the task level and thus improves the reliability of the inspection control strategy.

[0012] Optionally, the inspection control strategy includes an inspection sequence, and the determining of the inspection control strategy based on the abnormal situation and the task level includes: determining an abnormality level based on the abnormal situation; If there is a first abnormality level, determining the abnormal area corresponding to the first abnormality level as a priority inspection area; Sorting the abnormal areas according to the corresponding task levels and the priority inspection areas to obtain a first sorting result; Correcting the first sorting result based on the abnormality level to obtain a second sorting result; An inspection order is determined based on the second sorting result.

[0013] Optionally, determining the inspection result based on the first monitoring data and the second monitoring data includes: determining a monitoring data range based on the second monitoring data; If the first monitoring data is within the monitoring data range, determining the abnormal situation as the inspection result; If the first monitoring data is not within the monitoring data range, reacquire the first monitoring data, determine the reacquired first monitoring data as the third monitoring data, and reacquire the first monitoring data a preset number of times; If the third monitoring data is not within the monitoring data range, an inspection result is determined based on the second monitoring data, the sound data and the video data.

[0014] By adopting the above technical solution, the first monitoring data is verified by the second monitoring data, so that abnormal sensors can be discovered in time, the accuracy of the inspection data is improved, and thus the accuracy of the inspection results is improved.

[0015] Optionally, the management strategy includes an inspection cycle, and determining the management strategy based on the inspection result includes: If the inspection result is abnormal, historical abnormal information and device information are obtained, wherein the device information includes the device number, the device usage time, and the recommended usage time; Dividing the historical abnormal information according to the device number to obtain multiple historical abnormal information combinations; Counting the number of historical abnormal information in each historical abnormal information combination to obtain multiple abnormal numbers; determining an abnormal frequency of the device based on the abnormal quantity; Determine an inspection coefficient based on the device's usage time and the recommended usage time; A patrol period is determined based on the abnormal frequency and the patrol coefficient.

[0016] By adopting the above technical solution, when the inspection result shows an abnormality, the inspection cycle is adjusted according to the abnormal frequency of the equipment, the equipment usage time and the recommended usage time, thereby improving the accuracy of the inspection cycle and thus improving the inspection efficiency.

[0017] In the second aspect, the present application provides an intelligent inspection control device for a coal mine silo, which adopts the following technical solution: An intelligent inspection control device for a coal mine silo, comprising: A first acquisition module, used to acquire first monitoring data, sound data, video data and production tasks, wherein the first monitoring data is monitoring data of a sensor, and the video data includes image video and infrared video; an abnormality determination module, configured to determine an abnormality based on the first monitoring data, the sound data, and the video data; An inspection determination module, used to determine an inspection control strategy based on the abnormal situation and the production task; A patrol control module, used to control the patrol robot based on the patrol control strategy; A second acquisition module, used to acquire second monitoring data of the inspection robot; A result determination module, used to determine an inspection result based on the first monitoring data and the second monitoring data; A management determination module is used to determine a management strategy based on the inspection result.

[0018] By adopting the above technical solution, abnormal situations are jointly determined by the first monitoring data, sound data and video data, thereby improving the accuracy of abnormal situations, automatically determining the inspection control strategy according to the abnormal situation and the production task, and controlling the inspection robot to perform inspections according to the inspection control strategy, thereby improving the inspection efficiency, and jointly determining the inspection results according to the first monitoring data and the second monitoring data, which can not only quickly determine the abnormalities in the equipment, but also simultaneously determine the abnormal situations of the monitoring equipment (sensors), and automatically determine the management strategy according to the inspection results, thereby further improving the efficiency of the silo inspection.

[0019] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: An electronic device comprises a processor, wherein the processor is coupled to a memory; The memory stores a computer program that can be loaded by the processor and execute the coal mine silo intelligent inspection control method described in any one of the first aspects.

[0020] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program that can be loaded by a processor and execute the coal mine silo intelligent inspection control method described in any one of the first aspects. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a flow chart of an intelligent inspection control method for coal mine silos provided in an embodiment of the present application.

[0022] Figure 2 It is a structural block diagram of an intelligent inspection control device for coal mine silos provided in an embodiment of the present application.

[0023] Figure 3 It is a structural block diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The present application is further described in detail below in conjunction with the accompanying drawings.

[0025] The embodiment of the present application provides a coal mine silo intelligent inspection control method, which can be executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a desktop computer, etc., but is not limited thereto.

[0026] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0027] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0028] like Figure 1 As shown, a method for intelligent inspection and control of coal mine silos is provided, and the main process of the method is described as follows (steps S101 to S107): Step S101, obtaining first monitoring data, sound data, video data and production tasks.

[0029] The first monitoring data is the monitoring data of the sensor, and the first monitoring data includes temperature, smoke concentration, gas concentration, humidity, etc. The video data includes image video and infrared video.

[0030] Multiple groups of sensors for monitoring equipment status and environmental status are installed in the cylindrical silo. Each group of sensors includes but is not limited to temperature sensors, smoke sensors, gas detection sensors and humidity sensors. The first monitoring data is obtained from each sensor. Sound collection equipment, infrared thermal imagers and cameras are also installed in the YTO warehouse. Sound data can be obtained from the sound collection equipment, infrared videos can be obtained from the infrared thermal imagers, and image videos can be obtained from the cameras.

[0031] Get production tasks from staff or database.

[0032] Step S102: determining an abnormal situation based on the first monitoring data, the sound data, and the video data.

[0033] Specifically, determining an abnormal situation based on the first monitoring data, the sound data and the video data includes: obtaining first standard data, which is standard data corresponding to the first monitoring data; determining first abnormal information based on the first standard data and the first monitoring data; obtaining second standard data, which is standard data corresponding to the second monitoring data; determining second abnormal information based on the second standard data and the second monitoring data; identifying the video data to determine third abnormal information; and determining the abnormal situation based on the first abnormal information, the second abnormal information and the third abnormal information.

[0034] In this embodiment, first standard data corresponding to various first monitoring data are obtained from the database. The first standard data can be a numerical value or a range, which is not specifically limited here. The first monitoring data is compared with the corresponding first standard data to determine whether there is an abnormality, that is, to determine whether the first monitoring data conforms to the corresponding first standard data. If there is an abnormality, the first abnormality information is the first monitoring data with the abnormality and the corresponding first standard data. If there is no abnormality, the first abnormality information is that there is no abnormality.

[0035] The sound data can detect the noise of the electric drum and the roller, and obtain the second standard data corresponding to the second monitoring data from the database, that is, the standard sound data, and compare the second monitoring data with the second standard data. If the second monitoring data conforms to the second standard data, there is no abnormality, and the second abnormal information is that there is no abnormality. If the second monitoring data does not conform to the second standard data, there is an abnormality, and the second abnormal information is the second monitoring data with the abnormality and the corresponding second standard data.

[0036] The image video can detect the position offset of the reversible tape machine, the deformation of the supporting cable bracket, etc. The image in the video data is recognized by a preset image recognition model to obtain the third abnormal information. The third abnormal information includes information about the absence of abnormality and the presence of abnormality.

[0037] The first abnormal information, the second abnormal information and the third abnormal information are collectively determined to determine an abnormal situation, where the abnormal situation includes the presence of an abnormality and the absence of an abnormality.

[0038] Step S103: determining an inspection control strategy based on abnormal conditions and production tasks.

[0039] If the abnormal situation is that there is no abnormality, the inspection control strategy is to control the inspection robot to inspect each position and equipment in the silo in turn according to the inspection cycle.

[0040] Specifically, the inspection control strategy is determined based on the abnormal situation and the production task, including: if the abnormal situation is the existence of an abnormality, then the abnormal area is determined based on the abnormal situation; the production task of the abnormal area is determined as the first production task; if there are multiple abnormal areas, then the starting production time and delivery deadline of the first production task are determined; the task level is determined based on the starting production time and the delivery deadline; and the inspection control strategy is determined based on the abnormal situation and the task level.

[0041] In this embodiment, if the abnormal situation is the existence of an abnormality, the area corresponding to the abnormal data in the abnormal situation (the first monitoring data, sound data and video data with the abnormality) is determined as the abnormal area, and the production task in the abnormal area is determined as the first production task. If there are multiple abnormal areas, there may also be multiple corresponding first production tasks. The starting production time and delivery deadline of the first production task are found from the first production task, and the task level of each first production task is determined according to the starting production time and the delivery deadline. The inspection control strategy of the inspection robot is determined according to the abnormal situation and the task level.

[0042] Specifically, the task level is determined based on the start production time and the delivery deadline, including: obtaining the current time; determining the available time based on the current time and the delivery deadline; determining the estimated production time and the importance level based on the first production task; determining the time limit level based on the estimated production time and the available time; determining the produced time based on the current time and the start production time; determining the time to be produced based on the estimated production time and the produced time; and determining the task level based on the time to be produced, the time limit level and the importance level.

[0043] In this embodiment, the current time is obtained through a network connection, the delivery deadline is subtracted from the current time to obtain the available time for task production, the estimated production time and the importance level of the first production task are obtained from a database, the database stores the correspondence between the estimated production time, the available time and the time limit level, the time limit level of the first production task is searched from the database according to the estimated production time and the available time, the current time is subtracted from the start production time to obtain the produced time of the first production task, the estimated production time is subtracted from the produced time to obtain the to-be-produced time of the first production task, the database stores the correspondence between the to-be-produced time, the time limit level, the importance level and the task level, the task level of the first production task is searched from the database according to the to-be-produced time, the time limit level and the importance level.

[0044] Specifically, the inspection control strategy includes an inspection order, and the inspection control strategy is determined based on the abnormal situation and the task level, including: determining the abnormal level based on the abnormal situation; if there is a first abnormal level, determining the abnormal area corresponding to the first abnormal level as the priority inspection area; sorting the abnormal areas according to the corresponding task levels and priority inspection areas to obtain a first sorting result; correcting the first sorting result based on the abnormal level to obtain a second sorting result; and determining the inspection order based on the second sorting result.

[0045] In this embodiment, if there is an abnormality, the abnormal situation also includes an abnormality level, and the abnormality level is the abnormality level of each abnormal area. If the first abnormal information, the second abnormal information and the third abnormal information of a certain abnormal area all indicate that there is an abnormality, then the abnormality level of the abnormal area is the first abnormality level. If any two of the first abnormal information, the second abnormal information and the third abnormal information of a certain abnormal area indicate that there is an abnormality, then the abnormality level of the abnormal area is the second abnormality level. If only one of the first abnormal information, the second abnormal information and the third abnormal information of a certain abnormal area indicates that there is an abnormality, then the abnormality level of the abnormal area is the third abnormality level, wherein the abnormality levels of the first abnormality level, the second abnormality level and the third abnormality level gradually decrease.

[0046] Find the abnormal level from the abnormal situation. If there is an abnormal area with the first abnormal level, determine the abnormal area as the priority inspection area, and sort the abnormal areas according to the corresponding task levels and priority inspection areas. The specific logic of sorting is to first sort the priority inspection areas from high to low according to the task level, and then sort the other abnormal areas from high to low according to the task level to obtain a first sorting result. The first sorting result is corrected based on the abnormal level. The specific correction logic is: if there are at least two abnormal areas corresponding to the same abnormal level, sort the at least two abnormal areas from high to low according to the abnormal level to obtain a second sorting result. The inspection order is the order of the abnormal areas in the second sorting result.

[0047] Step S104: Control the inspection robot based on the inspection control strategy.

[0048] The inspection control strategy is to control the inspection robot to perform inspections in accordance with the inspection sequence.

[0049] Step S105: Acquire the second monitoring data of the inspection robot.

[0050] The inspection robot can be a wheeled inspection robot, which is equipped with a visible light camera, an online infrared thermal imager, audio monitoring equipment and various robot sensors. The robot sensors include but are not limited to temperature sensors, smoke sensors, gas detection sensors and humidity sensors. The second monitoring data is obtained from the robot sensors of the inspection robot, that is, the data monitored by the inspection robot during the inspection process.

[0051] Step S106: Determine an inspection result based on the first monitoring data and the second monitoring data.

[0052] Specifically, the inspection result is determined based on the first monitoring data and the second monitoring data, including: determining the monitoring data range based on the second monitoring data; if the first monitoring data is within the monitoring data range, determining the abnormal situation as the inspection result; if the first monitoring data is not within the monitoring data range, reacquiring the first monitoring data, determining the reacquired first monitoring data as the third monitoring data, and the number of times the first monitoring data is reacquired is a preset number; if there is third monitoring data that is not within the monitoring data range, determining the inspection result based on the second monitoring data, sound data and video data.

[0053] In this embodiment, a preset difference is obtained from the database, and the preset difference is added to the second monitoring data to obtain the monitoring data range, and it is determined whether the first monitoring data is within the monitoring data range. If the first monitoring data is within the monitoring data range, it means that the first monitoring data is relatively accurate, and the abnormal situation is determined as the inspection result; if the first monitoring data is not within the monitoring data range, the first monitoring data is re-obtained from the sensor of the cylindrical silo, and the re-obtained first monitoring data is determined as the third monitoring data. The number of times the first monitoring data is re-obtained is a preset number of times. If the third monitoring data is not within the monitoring data range, it means that the sensor of the cylindrical silo has inaccurate data monitoring. The inspection result is determined based on the second monitoring data, sound data, and video data. The steps for determining the inspection result are the same as the steps for determining the abnormal situation mentioned above, and will not be repeated here. Similarly, the inspection result includes the presence and absence of an abnormality. The inspection result at this time also includes sensor abnormality.

[0054] Step S107: Determine a management strategy based on the inspection result.

[0055] Specifically, the management strategy includes an inspection cycle, and the management strategy is determined based on the inspection results, including: if the inspection result is an abnormality, obtaining historical abnormality information and equipment information, the equipment information including the equipment number, the equipment usage time and the recommended usage time; dividing the historical abnormality information according to the equipment number to obtain multiple historical abnormality information combinations; counting the number of historical abnormality information in each historical abnormality information combination to obtain multiple abnormality numbers; determining the abnormal frequency of the equipment based on the abnormality number; determining the inspection coefficient based on the equipment usage time and the recommended usage time; and determining the inspection cycle based on the abnormality frequency and the inspection coefficient.

[0056] In this embodiment, if the inspection result is that an abnormality exists, historical abnormal information and equipment information in the silo are obtained from the database, and the historical abnormal information is divided according to the equipment number to obtain multiple historical abnormal information combinations. One equipment number corresponds to one equipment, that is, each historical abnormal information combination corresponds to one equipment. The number of historical abnormal information in each historical abnormal information combination is counted to obtain multiple abnormal numbers. The abnormal number is divided by the equipment's usage time to obtain the equipment's abnormal frequency. The database stores the correspondence between the equipment's usage time, recommended usage time and inspection coefficient. The inspection coefficient is obtained from the database according to the equipment's usage time and recommended usage time. The abnormal coefficient is obtained from the database according to the abnormal frequency. The original inspection period × abnormal coefficient × inspection coefficient is used to obtain a new inspection period for each device.

[0057] If the inspection result shows that there is an abnormality, the management strategy also includes determining the inspection result as an alarm message and sending the alarm message to the corresponding staff.

[0058] If the inspection result shows that there is no abnormality, the management strategy is to control the robot to perform inspection according to the original inspection cycle.

[0059] Figure 2 This is a structural block diagram of a coal mine silo intelligent inspection control device 200 provided in an embodiment of the present application.

[0060] like Figure 2 As shown, the coal mine silo intelligent inspection control device 200 mainly includes: The first acquisition module 201 is used to acquire first monitoring data, sound data, video data and production tasks, the first monitoring data is the monitoring data of the sensor, and the video data includes image video and infrared video; An abnormality determination module 202, for determining an abnormality based on the first monitoring data, the sound data and the video data; Inspection determination module 203, used to determine inspection control strategy based on abnormal conditions and production tasks; Inspection control module 204, used to control the inspection robot based on the inspection control strategy; The second acquisition module 205 is used to acquire second monitoring data of the inspection robot; A result determination module 206, configured to determine an inspection result based on the first monitoring data and the second monitoring data; The management determination module 207 is used to determine a management strategy based on the inspection result.

[0061] As an optional implementation of this embodiment, the abnormality determination module 202 is also specifically used to determine the abnormal situation based on the first monitoring data, sound data and video data, including: obtaining first standard data, the first standard data is the standard data corresponding to the first monitoring data; determining first abnormal information based on the first standard data and the first monitoring data; obtaining second standard data, the second standard data is the standard data corresponding to the second monitoring data; determining second abnormal information based on the second standard data and the second monitoring data; identifying the video data to determine the third abnormal information; determining the abnormal situation based on the first abnormal information, the second abnormal information and the third abnormal information.

[0062] As an optional implementation of this embodiment, the inspection determination module 203 is also specifically used to determine the inspection control strategy based on abnormal conditions and production tasks, including: if the abnormal condition is the existence of an abnormality, then determining the abnormal area based on the abnormal condition; determining the production task in the abnormal area as the first production task; if there are multiple abnormal areas, then determining the starting production time and delivery deadline of the first production task; determining the task level based on the starting production time and the delivery deadline; and determining the inspection control strategy based on the abnormal condition and the task level.

[0063] As an optional implementation of this embodiment, the inspection determination module 203 is also specifically used to determine the task level based on the start production time and the delivery deadline, including: obtaining the current time; determining the available time based on the current time and the delivery deadline; determining the estimated production time and the importance level based on the first production task; determining the time limit level based on the estimated production time and the available time; determining the produced time based on the current time and the start production time; determining the time to be produced based on the estimated production time and the produced time; determining the task level based on the time to be produced, the time limit level and the importance level.

[0064] As an optional implementation of this embodiment, the inspection control strategy includes an inspection order, and the inspection determination module 203 is also specifically used to determine the inspection control strategy based on the abnormal situation and the task level, including: determining the abnormal level based on the abnormal situation; if there is a first abnormal level, determining the abnormal area corresponding to the first abnormal level as the priority inspection area; sorting the abnormal areas according to the corresponding task levels and priority inspection areas to obtain a first sorting result; correcting the first sorting result based on the abnormal level to obtain a second sorting result; and determining the inspection order based on the second sorting result.

[0065] As an optional implementation of this embodiment, the result determination module 206 is also specifically used to determine the inspection result based on the first monitoring data and the second monitoring data, including: determining the monitoring data range based on the second monitoring data; if the first monitoring data is within the monitoring data range, determining the abnormal situation as the inspection result; if the first monitoring data is not within the monitoring data range, reacquiring the first monitoring data, determining the reacquired first monitoring data as the third monitoring data, and the number of times the first monitoring data is reacquired is a preset number; if there is third monitoring data that is not within the monitoring data range, determining the inspection result based on the second monitoring data, sound data and video data.

[0066] As an optional implementation of this embodiment, the management strategy includes an inspection cycle, and the management determination module 207 is also specifically used to determine the management strategy based on the inspection result, including: if the inspection result is an abnormality, obtaining historical abnormality information and equipment information, the equipment information including the equipment number, the equipment usage time and the recommended usage time; dividing the historical abnormality information according to the equipment number to obtain multiple historical abnormality information combinations; counting the number of historical abnormality information in each historical abnormality information combination to obtain multiple abnormality numbers; determining the abnormal frequency of the equipment based on the abnormal number; determining the inspection coefficient based on the equipment usage time and the recommended usage time; determining the inspection cycle based on the abnormal frequency and the inspection coefficient.

[0067] In one example, the module in any of the above devices can be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or, one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0068] For another example, when the modules in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0069] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and modules can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0070] Figure 3 A structural block diagram of an electronic device 300 provided in an embodiment of the present application.

[0071] like Figure 3 As shown, the electronic device 300 includes a processor 301 and a memory 302 , and may further include an information input / information output (I / O) interface 303 , one or more of a communication component 304 , and a communication bus 305 .

[0072] The processor 301 is used to control the overall operation of the electronic device 300 to complete all or part of the steps of the above-mentioned coal mine silo intelligent inspection control method; the memory 302 is used to store various types of data to support the operation of the electronic device 300, and these data may include, for example, instructions for any application or method used to operate on the electronic device 300, and data related to the application. The memory 302 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, EPROM), programmable read-only memory (Programmable Read-Only Memory, PROM), read-only memory (Read-Only Memory, ROM), magnetic memory, flash memory, magnetic disk or optical disk. One or more.

[0073] The I / O interface 303 provides an interface between the processor 301 and other interface modules, and the above-mentioned other interface modules can be keyboards, mice, buttons, etc. These buttons can be virtual buttons or physical buttons. The communication component 304 is used for wired or wireless communication between the electronic device 300 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 304 can include: Wi-Fi components, Bluetooth components, NFC components.

[0074] The electronic device 300 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the intelligent inspection and control method for coal mine silos given in the above embodiment.

[0075] The communication bus 305 may include a path to transmit information between the above components. The communication bus 305 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 305 may be divided into an address bus, a data bus, a control bus, etc.

[0076] The electronic device 300 may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc., and may also be servers, etc.

[0077] The present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned coal mine silo intelligent inspection control method are implemented.

[0078] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0079] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.

[0080] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of application involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned application concept. For example, the above features are replaced with (but not limited to) technical features with similar functions applied in the present application.

Claims

1. A coal mine silo intelligent inspection control method, characterized in that: include: Acquire first monitoring data, sound data, video data and production tasks, wherein the first monitoring data is monitoring data of a sensor, and the video data includes image video and infrared video; determining an abnormal situation based on the first monitoring data, the sound data, and the video data; Determine an inspection control strategy based on the abnormal situation and the production task; Controlling the inspection robot based on the inspection control strategy; Acquire the second monitoring data of the inspection robot; Determine an inspection result based on the first monitoring data and the second monitoring data; A management strategy is determined based on the inspection result.

2. The method according to claim 1, characterized in that The determining of an abnormal situation based on the first monitoring data, the sound data, and the video data includes: Acquire first standard data, where the first standard data is standard data corresponding to the first monitoring data; Determine first abnormal information based on the first standard data and the first monitoring data; Acquire second standard data, where the second standard data is standard data corresponding to the second monitoring data; Determine second abnormal information based on the second standard data and the second monitoring data; Identify the video data to determine third abnormal information; An abnormal situation is determined based on the first abnormal information, the second abnormal information, and the third abnormal information.

3. The method according to claim 1, characterized in that The determining of the inspection control strategy based on the abnormal situation and the production task includes: If the abnormal situation is that an abnormality exists, determining an abnormal area based on the abnormal situation; Determining the production task of the abnormal area as the first production task; If there are multiple abnormal areas, determining the start production time and delivery deadline of the first production task; Determining a task level based on the start production time and the delivery deadline; An inspection control strategy is determined based on the abnormal situation and the task level.

4. The method according to claim 3, characterized in that The determining of the task level based on the start production time and the delivery deadline includes: Get the current time; Determining the available time based on the current time and the delivery deadline; Determine an estimated production duration and an importance level based on the first production task; Determining a time limit level based on the estimated production time and the available time; Determine the elapsed production time based on the current time and the start production time; Determine the time to be produced based on the estimated production time and the produced time; The task level is determined based on the to-be-produced time, the time limit level, and the importance level.

5. The method according to claim 4, characterized in that The inspection control strategy includes an inspection sequence, and the inspection control strategy is determined based on the abnormal situation and the task level, including: determining an abnormality level based on the abnormal situation; If there is a first abnormality level, determining the abnormal area corresponding to the first abnormality level as a priority inspection area; Sorting the abnormal areas according to the corresponding task levels and the priority inspection areas to obtain a first sorting result; Correcting the first sorting result based on the abnormality level to obtain a second sorting result; An inspection order is determined based on the second sorting result.

6. The method according to claim 1, characterized in that The determining the inspection result based on the first monitoring data and the second monitoring data includes: determining a monitoring data range based on the second monitoring data; If the first monitoring data is within the monitoring data range, determining the abnormal situation as the inspection result; If the first monitoring data is not within the monitoring data range, reacquiring the first monitoring data, and the number of times of reacquiring the first monitoring data is a preset number; determining the reacquired first monitoring data as third monitoring data; If the third monitoring data is not within the monitoring data range, an inspection result is determined based on the second monitoring data, the sound data and the video data.

7. The method according to claim 1, characterized in that The management strategy includes an inspection cycle, and the determining of the management strategy based on the inspection result includes: If the inspection result is abnormal, historical abnormal information and device information are obtained, wherein the device information includes the device number, the device usage time, and the recommended usage time; Dividing the historical abnormal information according to the device number to obtain multiple historical abnormal information combinations; Counting the number of the historical abnormal information in each combination of the historical abnormal information to obtain multiple abnormal numbers; determining an abnormal frequency of the device based on the abnormal quantity; Determine an inspection coefficient based on the device's usage time and the recommended usage time; A patrol period is determined based on the abnormal frequency and the patrol coefficient.

8. An intelligent inspection control device for coal mine silos, characterized in that: include: A first acquisition module, used to acquire first monitoring data, sound data, video data and production tasks, wherein the first monitoring data is monitoring data of a sensor, and the video data includes image video and infrared video; an abnormality determination module, configured to determine an abnormality based on the first monitoring data, the sound data, and the video data; An inspection determination module, used to determine an inspection control strategy based on the abnormal situation and the production task; A patrol control module, used to control the patrol robot based on the patrol control strategy; A second acquisition module, used to acquire second monitoring data of the inspection robot; A result determination module, used to determine an inspection result based on the first monitoring data and the second monitoring data; A management determination module is used to determine a management strategy based on the inspection result.

9. An electronic device, characterized in that: comprising a processor coupled to a memory; The processor is configured to execute a computer program stored in the memory, so that the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The method comprises a computer program or an instruction, which, when executed on a computer, causes the computer to execute the method according to any one of claims 1 to 7.

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