Mine car snapshot and material level monitoring system

Abstract

The utility model relates to the technical field of monitoring devices, and discloses a mine car snapshot and material level monitoring system, which comprises a correlation type photoelectric sensor, an industrial camera, an edge calculation box, a switch, a user terminal, a controllable power supply and a material level monitoring sensor, the signal output end of the correlation type photoelectric sensor is connected with the signal input end of the edge calculation box; the industrial camera and the material level monitoring sensor are respectively in communication connection with a switch; the control signal output end of the edge calculation box is connected with the control end of the industrial camera through the switch; the controlled end of the controllable power source is connected with the electric control output end of the edge calculation box, and the power supply output end of the controllable power source supplies power to the correlation type photoelectric sensor, the industrial camera, the edge calculation box, the switch and the material level monitoring sensor. The system can adapt to severe mine environments, has high-precision image capturing and counting capabilities, supports intelligent energy-saving wake-up, and has edge computing capability.

Description

TECHNICAL FIELD

[0001] The utility model relates to monitoring device technical field, concretely relates to a mine car snapshot and material level monitoring system. BACKGROUND

[0002] In the transportation link of open pit or underground mine, the running state, the number of passing and the load condition of the mine car are automatically snapped and counted, which is an important technical means to realize intelligent management of mine, improve scheduling efficiency and safety production level. At present, such system usually relies on radio frequency identification (RFID), ground inductor or ordinary video monitoring technology to realize vehicle sensing and counting.

[0003] However, the mine site environment is extremely complex, there are a large number of dust, strong mechanical vibration, large temperature and humidity change, electromagnetic interference and other unfavorable factors, which seriously restrict the reliability and accuracy of the existing sensing and counting system. The common system generally has low recognition rate, unstable data acquisition, large equipment energy consumption, and difficult to run continuously and reliably for a long time. Especially in the underground environment without sunlight and low illumination, the traditional sensing method is difficult to realize the continuous and stable monitoring of the vehicle state. In addition, most systems still rely heavily on central server for data processing, which has poor real-time performance, high communication bandwidth occupation, and is difficult to adapt to the application scene of mine multi-node, wide distribution and limited network conditions.

[0004] For example, the existing patent with publication number CN112381196A proposes an "underground vehicle automatic counting information management system", which applies radio frequency identification technology to mine vehicle counting. When the mine vehicle with RFID identification card installed passes through the card mouth along the designated route, the card mouth data acquisition equipment will automatically capture the vehicle information and complete the counting and shooting at the same time. The collected information is first stored in the card mouth front-end data acquisition host, and at the same time, the real-time counting LED display screen is visualized to display and broadcast the counting result in the form of voice, and then all the collected data is uploaded to the server database through the transmission network to realize centralized storage; the monitoring center client software can read the server data in real time to dynamically display the current counting situation, the system also supports real-time two-way communication scheduling and vehicle running red and green light avoidance scheduling function, and through the central end monitoring software, multi-dimensional monitoring and statistical report generation can be further realized to complete the deep application of data. Although the system has rich functions, it still has obvious defects in actual application:

[0005] First, it depends on the RFID tag, and the environmental adaptability is poor: its core depends on the RFID tag installed on each vehicle, which not only increases the deployment and maintenance cost, but also the tag is easy to be damaged, lost or contaminated in harsh working conditions, resulting in a decrease in recognition rate; second, the image capture precision is insufficient: lacking effective imaging compensation mechanism for moving targets, when the mine car passes at high speed, the image is easy to blur or miss, affecting the subsequent identification; third, the energy consumption is high: most of the system adopts the continuous power-on working mode, and still runs all-weather when the vehicle flow interval, lacking intelligent wake-up and energy-saving mechanism, the energy consumption is high, the long-term operation cost is large for remote mines, which is not conducive to long-term unattended operation. Fourth, the data processing is centralized: the system relies on the back-end server for data processing and analysis, the response delay is large, which is not conducive to real-time control and edge decision.

[0006] Therefore, the prior art solution is limited by environmental adaptability, functional integrity and operation economy in the actual application scene of the mine, and it is difficult to realize stable, accurate and low-consumption all-weather intelligent monitoring. At present, there is still an urgent need for a mine car snapshot and counting system that can adapt to harsh mine working conditions, realize efficient and accurate perception and statistics, have local intelligent processing capability and low energy consumption, to make up for the significant shortcomings of the prior art in actual application. Practical new type content

[0007] The utility model intends to provide a mine car snapshot and material level monitoring system, which can adapt to harsh mine environment, has high-precision image snapshot and counting capability, supports intelligent energy-saving wake-up and has edge computing capability.

[0008] The basic scheme provided by the utility model is: a mine car snapshot and material level monitoring system, which comprises a pair of shot photoelectric sensor, an industrial camera, an edge computing box, a switch, a user terminal, a controllable power supply and a material level monitoring sensor;

[0009] The signal output end of the pair of shot photoelectric sensor is connected with the signal input end of the edge computing box; the emitting end and the receiving end of the pair of shot photoelectric sensor are oppositely arranged on the two sides of the mine car track respectively;

[0010] The industrial camera and the material level monitoring sensor are respectively in communication connection with the switch;

[0011] The control signal output end of the edge computing box is connected with the control end of the industrial camera through the switch;

[0012] The controlled end of the controllable power supply is connected with the electric control output end of the edge computing box, and the power supply output end is respectively for the pair of shot photoelectric sensor, the industrial camera, the edge computing box, the switch and the material level monitoring sensor power supply;

[0013] The edge computing box is in communication connection with the user terminal through the switch.

[0014] Further, the material level monitoring sensor is one of a laser radar, an ultrasonic sensor or a TOF depth camera, and is installed at a position aligned with the upper space of the mine car carriage to collect surface profile data of the material in the carriage.

[0015] Further, the speed sensor is connected to the signal input end of the edge computing box through the signal output end, and is connected to the controllable power supply through the power supply end.

[0016] Further, the speed sensor is a millimeter wave radar installed on a vertical rod on the side of the incoming vehicle, and the installation angle is downward and the beam center is aligned with the track center line.

[0017] Further, the low-power wake-up module is connected to the wake-up signal input end of the edge computing box through the signal output end, and is connected to the controllable power supply through the power supply end.

[0018] Further, the low-power wake-up module is a millimeter wave radar or a seismic sensor, and is installed on the incoming vehicle side of the mine car and separated from the installation position of the opposite type photoelectric sensor by 10-20m.

[0019] Further, the industrial camera is integrated with or externally connected with a light supplement lamp, and the power supply end of the light supplement lamp is connected with the controllable power supply.

[0020] Further, the installation height of the opposite type photoelectric sensor is 1-1.5m away from the track plane and aligned with the middle part of the mine car carriage.

[0021] Further, the user terminal is a cloud server or a local monitoring computer.

[0022] Further, the environmental monitoring sensor is connected to the edge computing box through the IO interface or the communication interface, and is used for monitoring the temperature and humidity, dust concentration or vibration data of the environment where the system is located.

[0023] The working principle and advantages of the utility model are:

[0024] Through the accurate detection of the mine car passing event by the beam photoelectric sensor, a trigger signal is generated; the signal is sent to the edge computing box as the control center, the edge computing box then issues a snapshot instruction to the industrial camera through the switch, and synchronously controls the light compensation lamp to illuminate and compensate, so as to ensure that high-definition images can be captured in low-illumination environment. Further, the speed sensor (millimeter wave radar) can be integrated to monitor the speed of the mine car in real time, and the speed data is fed back to the edge computing box, and the edge computing box dynamically calculates and compensates the shutter delay caused by the movement, so as to fundamentally eliminate image blur. At the same time, the low-power radar continuously monitors the environment, and only when the vehicle is detected to approach, the whole main system is awakened through the controllable power supply, so that the ultra-low-power standby of no vehicle sleep is realized. All the collected images, counts and speed data are processed, analyzed and stored locally in the edge computing box, and the result data can be selected to be uploaded to the cloud or the local user terminal.

[0025] The mine car snapshot and material level monitoring system can adapt to harsh mine environment, has high-precision image snapshot and counting capability, supports intelligent energy-saving wake-up and has edge computing capability. The focus is on:

[0026] Firstly, the system has high reliability and environmental adaptability: the anti-interference sensors such as beam photoelectric sensor and millimeter wave radar are used, which have strong anti-interference ability, can effectively overcome the adverse effects of dust, rain, snow, dim light and violent vibration, maintain stable work, and adapt to mine site environment.

[0027] Secondly, the system can realize high-precision monitoring and counting: through the cooperative work of the beam photoelectric sensor and the speed sensor, the time point of the vehicle entering the monitoring area can be accurately captured, the vehicle counting zero error is realized, and the missed shot and the wrong shot are avoided. Secondly, the laser radar or TOF depth camera is selected as the material level monitoring sensor, which can directly obtain the three-dimensional point cloud data of the materials in the vehicle compartment, and realizes the non-contact high-precision material level and loading volume measurement.

[0028] Thirdly, the system specially designs a low-power wake-up module, which can fundamentally solve the high energy consumption problem of the traditional industrial equipment which is long-term idle standby to respond to occasional events. When there is no vehicle passing, only the low-power wake-up module with low power consumption needs to work, and the main system is in sleep state. Once the vehicle is detected to approach, the low-power wake-up module activates the edge computing box, which controls the controllable power supply to power on the whole system. This on-demand working mode can greatly reduce the system energy consumption, prolong the equipment life, and is suitable for long-term unattended operation.

[0029] Fourth, this system utilizes edge computing boxes to bring computing power down to the field edge, eliminating the need to upload large amounts of raw data to the cloud. This allows for real-time image recognition, data analysis, and result judgment. The response latency is extremely low, and even in extreme situations such as limited network bandwidth or temporary outages, all core monitoring functions continue to operate normally, ensuring the continuity and integrity of production data and enhancing system reliability. Furthermore, this system is networked using industrial switches, with each functional unit operating relatively independently, facilitating segmented troubleshooting and component replacement, and simplifying maintenance and repair. Attached Figure Description

[0030] Figure 1 This is a schematic diagram of the system structure of a mine car capture and material level monitoring system according to a first embodiment of the present invention;

[0031] Figure 2 This is a schematic diagram of the system structure of a second embodiment of the mine car capture and material level monitoring system of this utility model;

[0032] Figure 3 This is a schematic diagram of the system structure of a third embodiment of the mine car capture and material level monitoring system of this utility model.

[0033] The markings in the accompanying drawings include: 1. Through-beam photoelectric sensor, 11. Transmitter, 12. Receiver, 2. Industrial camera, 3. Edge computing box, 4. Switch, 5. User terminal, 6. Controllable power supply, 7. Speed ​​sensor, 8. Low-power wake-up module, 9. Material level monitoring sensor. Detailed Implementation

[0034] The following detailed description illustrates the specific implementation methods:

[0035] Example 1

[0036] The basic implementation examples are as follows: Figure 1 As shown: A mine car capture and material level monitoring system includes a through-beam photoelectric sensor 1, an industrial camera 2, an edge computing box 3, a switch 4, a user terminal 5, a controllable power supply 6, and a material level monitoring sensor 9.

[0037] The signal output terminal of the through-beam photoelectric sensor 1 is connected to the signal input terminal of the edge computing box 3; the transmitting end 11 and the receiving end 12 of the through-beam photoelectric sensor 1 are respectively arranged opposite to each other on both sides of the mine car track. In this embodiment, the installation height of the through-beam photoelectric sensor 1 is 1~1.5m above the track plane, aligned with the middle of the mine car, to ensure that the car can reliably block the light beam and ensure accurate counting. The signal output line of the receiving end 12 (usually an NPN or PNP type switch output) is connected to the digital input (DI) port of the edge computing box 3.

[0038] The industrial camera 2 and the material level monitoring sensor 9 are respectively connected in communication with the switch 4.

[0039] Specifically, in the embodiment, the industrial camera 2 is preferably an existing high-frame-rate industrial camera with a global shutter, such as a MV-CH050-10UM or MER-132-30GM type industrial camera, to meet the requirement of shooting high-speed moving objects (mine cars). The industrial camera 2 is connected to the port of the switch 4 through a network cable. In actual application, the camera lens needs to be selected according to the installation distance, and a protective cover can be provided to prevent dust pollution. Preferably, the industrial camera 2 is integrated with or externally connected to a high-frequency fill light, and the power supply end of the fill light is connected to the controllable power supply 6. The on-off of the fill light is directly controlled by the flash output signal of the industrial camera 2 or the instruction sent by the edge computing box 3 through the switch 4.

[0040] The material level monitoring sensor 9 is one of a laser radar, an ultrasonic sensor or a TOF depth camera, which is installed at a position aligned with the upper space of the mine car compartment for collecting the surface profile data of the material in the compartment. In the embodiment, the material level monitoring sensor 9 is a laser radar, and is connected to the edge computing box 3 through an IO port or a RS485 / Modbus communication interface.

[0041] The control signal output end of the edge computing box 3 is connected to the control end of the industrial camera 2 through the switch 4. Specifically, the edge computing box 3 is an edge computing device composed of a CPU and an NPU, and is provided with a digital input (DI) port, a digital output (DO) port, a network interface (such as an RJ45), etc. The DI port is connected to the light barrier photoelectric sensor 1, and one network port is connected to the switch 4. In the embodiment, the edge computing box 3 can be selected from the existing APC3588 type, APC1126 type or XC3588H-IPC type edge computing boxes 3 on the market.

[0042] The switch 4 is an industrial-grade network switch 4 provided with a plurality of Ethernet ports, and in the embodiment, a TP-LINK TL-IS200P-4G2F type or SH-GM481600 type switch 4 on the market can be selected. The other network port of the industrial camera 2, the edge computing box 3 and the network interface of the user terminal 5 are all connected to the switch 4, thereby forming a local Ethernet for the transmission of instructions and data between devices.

[0043] The controllable power supply 6 is a power supply that can be controlled to be turned on or off, and can be an AC / DC power supply with an intelligent relay module or be combined by a separate relay module and a standard power supply. In the embodiment, the controllable power supply 6 is combined by a separate relay module and a standard power supply. The controlled end (i.e. the relay coil control end) of the controllable power supply 6 is connected with the electric control output end (digital output (DO) port) of the edge computing box 3. The power supply output end of the controllable power supply 6 is divided into multiple paths, and is respectively used for supplying power to the light barrier type photoelectric sensor 1, the industrial camera 2 (and the supplementary light 21), the edge computing box 3, the switch 4 and the material level monitoring sensor 9.

[0044] The edge computing box 3 is in communication connection with the user terminal 5 through the switch 4. The user terminal 5 is an existing cloud server or a local monitoring computer, which is connected with the switch 4 through a wireless or wired network, and is used for receiving the counting result and the image data uploaded by the edge computing box 3, and performing display, storage and further analysis.

[0045] In a specific application, after the system is powered on, the edge computing box 3 starts and initializes all devices. When the mine car carriage passes through the light beam of the light barrier type photoelectric sensor 1, the output level of the receiving end 12 changes, and a pulse signal is generated. The signal is captured by the DI port of the edge computing box 3, and the counter in the edge computing box 3 is accumulated (counting once for each carriage) accordingly. At the same time, the edge computing box 3 immediately sends a snapshot instruction to the industrial camera 2 through the switch 4. After receiving the instruction, the industrial camera 2 triggers itself and controls the supplementary light 21 to perform synchronous supplementary lighting, and a high-definition vehicle image is captured. The image is transmitted back to the edge computing box 3 through the switch 4, and the edge computing box 3 can perform local storage, license plate recognition or state analysis on the image, and upload the counting result and the image data to the user terminal 5 through the switch 4.

[0046] At the same time, after the snapshot is completed, the edge computing box 3 can trigger the material level monitoring sensor 9 to work, collect the surface point cloud or depth data of the material in the carriage, and perform full load rate calculation in combination with the vehicle image locally. The calculation method adopts an existing algorithm (for example, an existing volume calculation algorithm based on point cloud data, which estimates the volume of the material by triangulation or grid processing of the point cloud data, and then obtains the full load rate).

[0047] The mine car snapshot and material level monitoring system provided in the embodiment can adapt to harsh mine environments, has high-precision image snapshot and counting capability, supports intelligent energy-saving wake-up and has edge computing capability.

[0048] Embodiment Two

[0049] As Figure 2As shown, a mining truck capture and material level monitoring system, based on Embodiment 1, also includes a speed sensor 7 to improve the capture clarity under high-speed movement conditions.

[0050] In this embodiment, the speed sensor 7 is a millimeter-wave radar, installed on a pole on the side facing the oncoming vehicle, with the installation angle downward and the beam center aligned with the center line of the track (i.e., aligned with the vehicle's forward path). The signal output terminal of the speed sensor 7 (usually an RS232, RS485, or Ethernet interface) is connected to the signal input terminal (i.e., the corresponding communication interface) of the edge computing box 3, and its power supply terminal is connected to the controllable power supply 6.

[0051] In practical applications, speed sensing and dynamic triggering are added to the first embodiment. When the through-beam photoelectric sensor 1 is triggered, the edge computing box 3 not only receives the trigger signal but also simultaneously reads the instantaneous speed value of the mining truck measured in real time by the speed sensor 7 through the communication interface. The edge computing box 3 pre-stores or calculates the required exposure advance compensation time for this speed using algorithms (such as existing lookup table methods or linear interpolation methods). Subsequently, the edge computing box 3 does not immediately issue a capture command but sends the command to the industrial camera 2 through the switch 4 after a delay. This compensation mechanism ensures that the vehicle moves to the expected capture position at the instant the camera exposes, thereby effectively eliminating the image blurring problem caused by high-speed movement, ensuring image clarity, and providing a reliable data foundation for subsequent advanced analysis such as full load rate recognition.

[0052] The mine car capture and material level monitoring system provided in this embodiment has an additional speed sensing function compared to Embodiment 1, making it more functional and helping to improve the capture clarity under high-speed movement conditions.

[0053] Example 3

[0054] like Figure 3 As shown, a mine car capture and material level monitoring system, based on Embodiment 1 or Embodiment 2, further includes a low-power wake-up module 8. The signal output terminal of the low-power wake-up module 8 is connected to the wake-up signal input terminal of the edge computing box 3, and its power supply terminal is connected to the controllable power supply 6.

[0055] The low-power wake-up module 8 is a millimeter wave radar or a seismic sensor. In this embodiment, the low-power wake-up module 8 selects an existing low-power millimeter wave radar (such as E54-10LD06 series radar), is installed in the direction of the oncoming mine car, and is located at a certain distance (such as 10-20 meters) from the main counting point (the opposite type photoelectric sensor 1). Compared with the main counting point, the low-power wake-up module 8 is located on the side closer to the oncoming direction of the mine car, and can be first sensed to pass through the mine car. The signal output end of the low-power wake-up module 8 is connected with a special wake-up pin (specifically, a GPIO pin and is set as a "high level effective" wake-up) or a DI port of the edge computing box 3. The power supply end is continuously powered by the controllable power supply 6, and because the power consumption is extremely low, it can work for a long time.

[0056] In specific applications, the following workflow is included:

[0057] (1) Sleep state: The system is in this state when it is initially or for a long time without a vehicle. At this time, the controllable power supply 6 cuts off the power supply of the opposite type photoelectric sensor 1, the industrial camera 2, the speed sensor 7, and the material level monitoring sensor 9 under the control of the edge computing box 3. Only the low-power wake-up module 8 and the edge computing box 3 are running, and the edge computing box 3 is in a sleep state, the main application processor enters a suspended or memory self-refresh state, and only through the special wake-up pin, the output signal of the low-power wake-up module 8 is monitored, and the total power consumption of the system is reduced to a very low level.

[0058] (2) Wake-up and start: When the mine car enters the detection range of the low-power wake-up module 8, the low-power wake-up module 8 outputs a high-level pulse to the edge computing box 3. The edge computing box 3 is completely awakened. The edge computing box 3 controls the relay of the controllable power supply 6 to close, and powers on all peripheral devices.

[0059] (3) Normal work: The system enters the high-precision snapshot and counting process as described in Embodiment One. At the same time, after the snapshot is completed, the edge computing box 3 can trigger the material level monitoring sensor 9 to work, collect the surface point cloud or depth data of the material in the vehicle, and combine the vehicle image to calculate the full load rate locally.

[0060] If the speed sensor 7 is provided, the speed sensing and dynamic triggering part as described in Embodiment Two is also triggered.

[0061] (4) Sleep judgment and shutdown: After a job is completed, the system starts a configurable delay timer (such as 5 minutes). If there is no new wake-up event during this period, the edge computing box 3 determines that the vehicle has completely passed, saves the state data, controls the controllable power supply 6 to disconnect the power supply of most devices, and reenters the low-power listening state, so that the system returns to the sleep state and waits to be awakened again, thereby realizing all-weather, fully automatic, and high-efficiency energy-saving cyclic operation.

[0062] In this embodiment, the delay timer is an existing built-in function of the edge computing box 3 (implemented through a hardware timer / counter peripheral of a microcontroller inside the edge computing box 3, or implemented by calling a timer such as HRTIMER provided by the operating system kernel of the edge computing box 3), which forms a complete control closed loop with the low-power wake-up module 8 and the controllable power supply 6 through the hardware GPIO interface of the edge computing box 3.

[0063] Compared with embodiments one and two, the ore car snapshot and material level monitoring system provided in this embodiment can be in low-power standby mode and start work on demand, can solve the high energy consumption problem of traditional industrial equipment long-term idle standby to respond to occasional events, is helpful to prolong the service life of the equipment, and is suitable for long-term unattended operation.

[0064] Embodiment four

[0065] An ore car snapshot and material level monitoring system further comprises an environmental monitoring sensor and a protective box based on embodiments one, two or three.

[0066] The signal output end of the environmental monitoring sensor is connected with the edge computing box 3 through an IO interface or a communication interface, for monitoring the temperature and humidity, dust concentration or vibration data of the environment where the monitoring system is located.

[0067] Specifically, in this embodiment, the environmental monitoring sensor is arranged around the opposing photoelectric sensor 1, is integrated by a temperature and humidity sensor, a vibration sensor and a dust concentration sensor, and performs data interaction with the edge computing box 3 through a standard RS485 communication interface and a Modbus-RTU protocol. The power supply end is provided by the controllable power supply 6.

[0068] The edge computing box 3, the switch 4 and the controllable power supply 6 are integrated and installed in the protective box; the protective grade of the protective box is not less than IP67. The protective box can be arranged at a position close to the counting point but relatively stable, easy to wire and maintain, in this embodiment, the protective box is arranged on a vertical rod beside the track or on a wall.

[0069] In specific applications, the environmental monitoring sensor continuously collects the temperature, humidity, dust concentration and vibration data around, and periodically sends them to the edge computing box 3 through the RS485 bus.

[0070] Compared with embodiments one to three, the ore car snapshot and material level monitoring system provided in this embodiment additionally has an environmental monitoring function, is more functional, and can realize synchronous monitoring of the mine environment.

[0071] The above-mentioned is only the embodiment of the present application, and the common knowledge of the specific structure and characteristics in the scheme is not described in detail, the ordinary skilled in the art knows all the ordinary technical knowledge in the technical field of the present application before the application date or the priority date, can know all the prior art in the field, and has the ability to apply the conventional experimental means before the date, the ordinary skilled in the art can improve and implement the present scheme under the inspiration given in the present application, and some typical known structures or known methods should not become an obstacle for the ordinary skilled in the art to implement the present application. It should be pointed out that for those skilled in the art, without departing from the structure of the present application, a number of modifications and improvements can be made, which should also be considered as the protection scope of the present application, which will not affect the effect and practicality of the present application.

Claims

1. A mine car snapshot and level monitoring system, characterized by, The system comprises a pair of photoelectric sensors, an industrial camera, an edge computing box, a switch, a user terminal, a controllable power supply and a material level monitoring sensor. The signal output end of the pair of photoelectric sensors is connected with the signal input end of the edge computing box, and the emitting end and the receiving end of the pair of photoelectric sensors are oppositely arranged on the two sides of the mine car track. The industrial camera and the material level monitoring sensor are respectively in communication connection with the switch. The control signal output end of the edge computing box is connected with the control end of the industrial camera through the switch. The controlled end of the controllable power supply is connected with the electric control output end of the edge computing box, and the power supply output end of the controllable power supply respectively supplies power to the pair of photoelectric sensors, the industrial camera, the edge computing box, the switch and the material level monitoring sensor. The edge computing box is an edge computing device composed of a CPU and an NPU, and has a digital input port, a digital output port and a network interface, the digital input port is connected with the pair of photoelectric sensors, and one network interface is connected to the switch; the digital input port corresponds to the signal input end, and the digital output port corresponds to the electric control output end. The edge computing box is in communication connection with the user terminal through the switch.

2. A mine car snapshot and level monitoring system as claimed in claim 1, wherein, The material level monitoring sensor is one of a laser radar, an ultrasonic sensor or a TOF depth camera, and is installed at a position aligned with the upper space of the mine car carriage and used for collecting the surface profile data of the materials in the carriage.

3. A mine car snapshot and level monitoring system as defined in claim 1 wherein, A speed sensor is further included, the signal output end of the speed sensor is connected with the signal input end of the edge computing box, and the power supply end of the speed sensor is connected with the controllable power supply.

4. A mine car snapshot and level monitoring system as claimed in claim 3, wherein, The speed sensor is a millimeter wave radar, is installed on a vertical rod on the side of the coming car direction, has a downward installation angle and a beam center aligned with the track center line.

5. A mine car snapshot and level monitoring system as defined in claim 1 wherein, A low-power wake-up module is further included, the signal output end of the low-power wake-up module is connected with the wake-up signal input end of the edge computing box, and the power supply end of the low-power wake-up module is connected with the controllable power supply.

6. A mine car snapshot and level monitoring system as defined in claim 5 wherein, The low-power wake-up module is a millimeter wave radar or a seismic sensor, is installed on the coming car direction of the mine car and is spaced apart from the installation position of the pair of photoelectric sensors by 10-20 m.

7. A mine car snapshot and level monitoring system as defined in claim 1 wherein, The industrial camera is integrated with or externally connected with a light supplementing lamp, and the power supply end of the light supplementing lamp is connected with the controllable power supply.

8. A mine car snapshot and level monitoring system as defined in claim 1 wherein, The installation height of the pair of photoelectric sensors is 1-1.5 m away from the track plane and is aligned with the middle part of the mine car carriage.

9. A mine car snapshot and level monitoring system as defined in claim 1 wherein, The user terminal is a cloud server or a local monitoring computer.

10. A mine car snapshot and level monitoring system as defined in claim 1 wherein, An environment monitoring sensor is further included, the signal output end of the environment monitoring sensor is connected with the edge computing box through an IO interface or a communication interface and is used for monitoring the temperature and humidity, dust concentration or vibration data of the environment where the system is located.

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