Unmanned feeding system based on automatic control and Gray bus

Abstract

The invention discloses an unmanned feeding system based on automatic control and a Gray bus, which comprises an unloading trolley, a Gray bus, a wireless network bridge, a ground control cabinet, a control terminal and a radar level gage. According to the technical scheme, on-site key position monitoring of a feeding belt of a converter tower, precise positioning of a feeding trolley, height judgment of the material level of a material bin, bin position approval and the like are comprehensively controlled, unmanned operation of the whole feeding process of the converter is achieved, and the system is suitable for high-temperature and high-risk scenes in the iron and steel smelting industry, can be popularized to similar material conveying scenes and promotes few-person and intelligent upgrading of the industrial site. Traditional cable dragging power supply is abandoned, the position of the trolley and the material level of the stock bin can be accurately judged, the problems of material accumulation, belt material stacking and the like caused by the fact that raw materials and auxiliary materials are fed into a wrong stock bin and the position deviation of the trolley are effectively solved, the feeding precision is improved, and the steel product quality is guaranteed. After unmanned feeding is achieved, the labor cost input is greatly reduced, the labor cost is reduced, and the production efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of metal smelting technology, and in particular to an unmanned feeding system based on automated control and a Gray busbar. Background Technology

[0002] In the converter smelting process, the precise addition of various raw and auxiliary materials is crucial for ensuring smooth smelting and the quality of steel products. Currently, traditional converter charging operations rely mainly on manual labor, typically requiring 2-3 charging workers. These workers must constantly monitor numerous factors, including the material level in the silos, the position of the charging trolley, the location of the material distribution port, and the operating status of the charging conveyor belt, before performing the charging operation. This manual operation mode has several drawbacks: High labor costs: With labor costs constantly rising, manual material handling undoubtedly increases the operating costs of enterprises. Moreover, in harsh working environments such as high temperatures and dust, long-term manual labor poses significant health risks, requiring companies to invest more resources in ensuring employee safety and health.

[0003] Low efficiency: Manual operation is limited by human physiological limits, making continuous and efficient operation impossible. During frequent material loading, operators are prone to fatigue, leading to slower operation speed, increased errors, and consequently affecting the overall converter production rhythm and reducing production efficiency.

[0004] Accuracy is difficult to guarantee: There are significant errors when manually judging information such as silo material levels and trolley positions. For example, raw materials are frequently loaded into the wrong silos, which not only wastes materials but may also seriously affect the quality of steel products; large deviations in the trolley's stopping position can cause material to accumulate at the silo opening, which is not only difficult to clean but may also block the silo and affect the normal feeding process; it is difficult to accurately grasp the actual material level in the silo, which can easily lead to material accumulation on the conveyor belt, damage the conveyor belt equipment, and increase maintenance costs and downtime.

[0005] High safety risks: The material handling site has a complex environment with various hazards such as high temperature, high pressure, dust, and noise. Material handling workers face safety risks such as burns, dust inhalation, and mechanical injuries while working on site, threatening their lives.

[0006] Given the various shortcomings of traditional manual feeding methods, it is necessary to develop an unmanned feeding system based on automated control and the Gray busbar. Summary of the Invention

[0007] The technical problem to be solved by the present invention is to address the shortcomings of the prior art by providing an unmanned material feeding system based on automated control and Gray busbars to replace the traditional manual material feeding mode, reduce labor costs, and avoid production problems caused by low efficiency and error in manual on-site confirmation; and compared with the prior art, it improves production efficiency, reduces costs, and ensures production safety and product quality.

[0008] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: An unmanned material loading system based on automated control and Gray busbars, including The unloading trolley moves on top of multiple converters on the same production line, with its unloading port located above the converter's hopper. The unloading trolley is equipped with an onboard control cabinet and a control panel, which are communicatively connected to control the movement and unloading of the trolley. The onboard control cabinet contains an isolation transformer, a switching power supply, and an address encoding generator. The isolation transformer converts AC to DC voltage and inputs the switching power supply to power the address encoding generator, which generates and amplifies the address carrier signal. The Gray bus is used to sense the position of the unloading trolley. The two ends of the Gray bus are connected to the terminal box and the starting box, respectively. An antenna box is set on the outside of the Gray bus, and the antenna box is energized with the Gray bus to generate and transmit address signals. The wireless bridge includes a vehicle-mounted bridge and a ground-based bridge. The vehicle-mounted bridge is installed on the unloading trolley, and the ground-based bridge is installed on the ground. The vehicle-mounted bridge and the ground-based bridge are wirelessly connected. The ground control cabinet contains a sub-processor. The sub-processor is connected to the first optoelectronic switch via an Ethernet cable to receive data from the ground bridge. The sub-processor is also connected to the address decoder via a Gray bus lead to receive induction signals from the Gray bus. The control terminal includes an operator host computer and a main processor. The operator host computer is electrically connected to the main processor through a second optoelectronic switch, and the first optoelectronic switch and the second optoelectronic switch are connected through an optical cable. Radar level gauges are installed at the silo opening to accurately measure the material height and transmit the level information to the main processor in real time.

[0009] Preferably, the Gray busbar is installed on one side of the single-sided guardrail of the unloading trolley, and the Gray busbar runs in the same direction as the production line. Tracks are installed on the top of multiple converters on the same production line, and the unloading trolley moves on the tracks by being driven by a motor.

[0010] Preferably, a number of supports are provided between the terminal box and the starting box, and the multiple supports are distributed in a linear array along the direction of the Gray bus, and the distance between two adjacent supports is set to 2m, and the distance between the antenna box and the Gray bus is set to 80mm.

[0011] Preferably, the vehicle control cabinet is equipped with an IM153 interface module and a relay, and the IM153 interface module and the relay are electrically connected to the control panel for receiving and controlling I / O signals.

[0012] Preferably, the number of radar level gauges matches the number of converters, with multiple radar level gauges distributed one-to-one above the high-level material silos of the converter tower, and all multiple radar level gauges are electrically connected to the main processor via shielded cables.

[0013] Preferably, the unloading trolley is equipped with a monitoring camera and a supplementary light, and the observation angle of the monitoring camera is aligned with the observation hole of the unloading port of the unloading trolley for real-time monitoring and judgment of the material level in the hopper, and the supplementary light is used to provide illumination when there is insufficient light.

[0014] Preferably, the main processor has a built-in AI processing module that uses video AI technology to delineate material stacking points and set the proportion of material stacking point intervals within the monitoring interface obtained by the surveillance camera, and then feeds back the data.

[0015] Preferably, both the unloading trolley and the operator's host computer are equipped with alarms to provide alerts when the unloading trolley malfunctions.

[0016] Preferably, both the sub-processor and the main processor are PLCs, the control terminal controls the ground control cabinet of at least one production line, and the control circuits of the sub-processors corresponding to multiple production lines are connected in parallel with the control circuit of the main processor.

[0017] The present invention has the following beneficial effects: The unmanned material loading system provided by this invention reduces labor costs compared to existing technologies: after realizing unmanned material loading, there is no need to equip on-site material loading workers and electrical logistics personnel, which greatly reduces labor cost input and avoids the risks of manual operation in harsh environments.

[0018] The unmanned feeding system provided by this invention improves production efficiency compared with existing technologies: the system operates automatically, the feeding speed is fast and stable, it is not affected by human fatigue, and it can achieve continuous and efficient operation, effectively improving the production rhythm and overall production efficiency of the converter.

[0019] The unmanned feeding system provided by this invention improves feeding accuracy compared to existing technologies: the positioning accuracy of the Gray busbar can reach ±10mm. Combined with radar level gauges and video AI technology, it can accurately determine the position of the trolley and the material level in the hopper, effectively avoiding problems such as raw and auxiliary materials being fed into the wrong hopper, material accumulation caused by trolley position deviation, and material stacking on the conveyor belt, thereby improving the feeding accuracy and ensuring the quality of steel products.

[0020] The unmanned material handling system provided by this invention enhances system safety compared to existing technologies: operators do not need to enter the hazardous material handling area, reducing safety hazards such as high temperatures, dust, and mechanical injuries, thus ensuring the safety of employees. Simultaneously, the system's fault alarm and recording functions help to promptly detect and handle equipment problems, reducing the risk of safety accidents caused by equipment malfunctions.

[0021] The unmanned material feeding system provided by this invention achieves intelligent management compared to existing technologies: through trend tracking curves and historical data recording, it facilitates enterprises to conduct data analysis and management of the production process, providing a strong basis for optimizing production processes and formulating production plans, and promoting enterprises to move towards intelligent production. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the working principle of the unmanned material feeding system provided by the present invention; Figure 2 This is a schematic diagram of the cooperative structure of the vehicle-mounted control cabinet, control panel, and unloading trolley in this invention.

[0023] In the diagram: Unloading trolley-1; On-board control cabinet-2; Control panel-3; Isolation transformer-4; Switching power supply-5; Address encoder-6; Gray busbar-7; Terminal box-8; Starting box-9; Antenna box-10; On-board bridge-11; Ground bridge-12; Ground control cabinet-13; Sub-processor-14; First optoelectronic switch-15; Address decoder-16; Control terminal-17; Operator host computer-18; Main processor-19; Second optoelectronic switch-20; Radar level gauge-21; Track-22; Motor-23; IM153 interface module-24; Relay-25. Detailed Implementation

[0024] The present invention will now be described in further detail with reference to the accompanying drawings and specific preferred embodiments.

[0025] In the description of this invention, it should be understood that the terms "left side," "right side," "upper part," "lower part," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. "First," "second," etc., do not indicate the importance of the components, and therefore should not be construed as a limitation of this invention. The specific dimensions used in this embodiment are only for illustrating the technical solution and do not limit the scope of protection of this invention.

[0026] like Figure 1-2As shown, an unmanned material feeding system based on automated control and a Gray busbar includes an unloading trolley 1, a Gray busbar 7, a wireless bridge, a ground control cabinet 13, a control terminal 17, and a radar level gauge 21. The unloading trolley 1 moves on top of multiple converters on the same production line. Tracks 22 are installed on top of the multiple converters on the same production line, and the unloading trolley 1 is driven by a motor 23 to move on the tracks 22. The unloading port of the unloading trolley 1 is located above the converter's hopper. The unloading trolley 1 is equipped with an on-board control cabinet 2 and a control panel 3. The on-board control cabinet 2 and the control panel 3 are communicatively connected and used to control the movement and unloading of the unloading trolley 1. The on-board control cabinet 2 is equipped with an isolation transformer 4, a switching power supply 5, and an address encoder 6. The isolation transformer 4 is used for AC / DC voltage conversion and inputs the switching power supply 5 to power the address encoder 6. The address encoder 6 is used to generate and amplify the address carrier signal. The address encoder 6 acquires and processes the address signal transmitted from the antenna box 10 and then sends it to the address decoder 16. According to the design requirements, the isolation transformer 4, switching power supply 5, address code generator 6, and other equipment were rationally laid out and installed. During installation, wiring was strictly carried out in accordance with electrical installation specifications to ensure that the wiring connections were secure and without looseness, avoiding problems such as short circuits or open circuits. After installation, the equipment in the electrical cabinet was debugged to check whether the communication between the devices was normal and whether the address code generator 6 could accurately generate and transmit address signals.

[0027] The Gray busbar 7 is used to sense the position of the unloading trolley 1. The Gray busbar 7 is installed on one side of the single-sided guardrail of the unloading trolley 1, ensuring a firm and flat installation to avoid bending or twisting that could affect positioning accuracy. The Gray busbar 7 runs parallel to the production line. The two ends of the Gray busbar 7 are connected to the terminal box 8 and the starting box 9, respectively. Several supports are installed between the terminal box 8 and the starting box 9, arranged in a linear array along the direction of the Gray busbar 7, with a distance of 2m between adjacent supports. The distance between the antenna box 10 and the Gray busbar 7 is 80mm. To ensure stable magnetic field induction, the left and right deviation tolerance of the unloading trolley 1 is controlled within ±10mm in this application. An antenna box 10 is installed outside the Gray busbar 7, and the antenna box 10 is energized with the Gray busbar 7 to generate and transmit address signals. Specifically, by applying alternating current to the input terminal of the antenna box 10, a uniform alternating magnetic field is generated, which forms mutual inductance with the coil of the Gray busbar 7. When installing the antenna box 10, precisely control its distance from the Gray bus 7 to 80mm, and connect the alternating current line to ensure that the antenna box 10 can stably generate a uniform alternating magnetic field. After installation, perform debugging and check the working status of the Gray bus 7 and the antenna box 10 to ensure that the trolley position signal can be accurately acquired.

[0028] The wireless bridge includes a vehicle-mounted bridge 11 and a ground bridge 12. The vehicle-mounted bridge 11 is installed on the unloading trolley 1, and the ground bridge 12 is installed on the ground. The vehicle-mounted bridge 11 and the ground bridge 12 are wirelessly connected. The vehicle-mounted bridge 11 sends data to the ground bridge 12 wirelessly. After receiving the data, the ground bridge 12 amplifies the signal obtained from the Gray bus 7 through an address encoding transmitter and transmits it to the ground control cabinet 13 wirelessly.

[0029] The ground control cabinet 13 is equipped with a sub-processor 14. The sub-processor 14 is connected to the first optoelectronic switch 15 via an Ethernet cable to receive data from the ground bridge 12. The sub-processor 14 is connected to the address decoder 16 via a Gray bus 7 lead to receive induction signals from the Gray bus 7. The control terminal 17 includes an operator host computer 18 and a main processor 19. The operator host computer 18 is electrically connected to the main processor 19 through a second optoelectronic switch 20, and the first optoelectronic switch 15 and the second optoelectronic switch 20 are connected through an optical cable. Radar level gauges 21 are installed at the silo opening to accurately measure the material height and transmit the level information to the main processor 19 in real time. Radar level gauges 21 must be installed vertically to avoid measurement errors. The number of radar level gauges 21 matches the number of converters; multiple radar level gauges 21 are distributed one-to-one above the high-level silos in the converter tower, and all radar level gauges 21 are electrically connected to the main processor 19 via shielded cables.

[0030] This application achieves fully automated converter charging, applicable to high-temperature and high-risk scenarios in the steel smelting industry, and can be extended to similar material handling scenarios, driving the upgrading of industrial sites towards less manpower and intelligent operation. With unmanned charging, there is no need for on-site charging workers and electrical support personnel, significantly reducing labor costs and avoiding the risks of manual operation in harsh environments. Eliminating the need for on-site charging workers saves 2-3 people per shift, reducing annual costs by over 500,000 yuan. Improved production efficiency: The system operates automatically, with fast and stable charging speed, unaffected by human fatigue, enabling continuous and efficient operation, effectively improving the converter's production rhythm and overall production efficiency. Continuous operation without fatigue impacts charging speed by 30%, and converter capacity by 15% year-on-year.

[0031] It can accurately determine the position of the trolley and the material level in the hopper, effectively avoiding problems such as raw materials being fed into the wrong hopper, material accumulation due to trolley position deviation, and material piling on the conveyor belt. This improves the accuracy of material feeding and ensures the quality of steel products. The misloading rate has been reduced to below 0.1%, conveyor belt piling failures have been reduced by 80%, and material waste has been reduced by 20%. The system operates automatically, with fast and stable feeding speed, unaffected by human fatigue, enabling continuous and efficient operation, effectively improving the production rhythm and overall production efficiency of the converter. Continuous operation is unaffected by fatigue, the feeding rhythm has been improved by 30%, and the converter capacity has increased by 15% year-on-year.

[0032] The vehicle control cabinet 2 is equipped with an IM153 interface module 24 and a relay 25, which are electrically connected to the control panel 3 for receiving and controlling I / O signals.

[0033] Furthermore, in the above technical solution, a monitoring camera and a supplementary light are installed on the unloading trolley 1. The monitoring camera's observation angle is aligned with the observation hole of the unloading port of the unloading trolley 1 for real-time monitoring and judgment of the material level in the hopper. The supplementary light is used to provide illumination when there is insufficient light. When installing the monitoring camera, adjust the observation angle of the monitoring camera to ensure that it is accurately aligned with the observation hole of the unloading port. When installing the supplementary light, select a suitable installation position to ensure good supplementary lighting effect, which can clearly illuminate the unloading port in low light conditions. Connect the power cords and data cables of the monitoring camera and supplementary light to the electrical box and wireless terminal on the unloading trolley 1 for equipment debugging, and check whether the monitoring screen is clear and stable, and whether the supplementary light is working properly.

[0034] Furthermore, in the aforementioned technical solution, the main processor 19 incorporates an AI processing module. This module utilizes video AI technology to delineate material stacking points within the monitoring interface captured by the surveillance camera, setting the percentage of each stacking point interval and providing data feedback. For example, when the percentage of material stacking exceeds 30% of the total defined area, the system automatically determines it as a stacking state and sends an alarm signal. Simultaneously, it is used to automatically identify and accurately locate the trolley based on the labels of each hopper.

[0035] Furthermore, in the above technical solution, alarms are installed at the connection terminals of the unloading trolley 1 and the operator host computer 18, which are used to provide alarm prompts when the unloading trolley 1 encounters an abnormality.

[0036] Furthermore, in the above technical solution, both the sub-processor 14 and the main processor 19 adopt PLCs, the control terminal 17 controls the operation of the ground control cabinet 13 of at least one production line, and the control circuits of the sub-processors 14 and the main processor 19 corresponding to multiple production lines are set in parallel.

[0037] In the above technical solution, the system may also include an operation and monitoring module for remote control of the unloading trolley 1. After the operator selects a bin, the alternating magnetic field generated by the antenna box 10 induces an electromotive force in the Gray busbar 7. The unloading trolley 1 can automatically travel to the set unloading point of the bin according to the absolute address of the Gray busbar 7 corresponding to different bins, the movement step of the unloading trolley 1, and the intersection length of the address lines. The operator's host computer 18 displays the running trajectory of the unloading trolley 1 in real time on the main screen. When the unloading trolley 1 arrives at the set bin, clicking on the image of the unloading trolley 1 will cause the monitoring camera to confirm the position and pop up a screenshot. The monitoring system automatically identifies the bin indicator and compares it, displaying the comparison result on the operation interface.

[0038] In the above technical solution, the system may further include a data recording and analysis module, used to record and save the loading status of each warehouse for each shift in real time. When the unloading trolley 1 malfunctions, the screen automatically alarms and activates the fault recording function. The system automatically registers information such as fault type, occurrence time, end time, and handling measures, generating a monthly report. Thus, in this embodiment, trend curves are used to record loading data, faults are automatically registered and monthly reports are generated, supporting production optimization analysis.

[0039] The circuits and controls involved in this invention are all existing technologies and will not be described in detail here.

[0040] An unmanned material loading system based on automated control and Gray busbars includes the following steps during operation: Material preparation stage: The operator selects the hopper to be loaded on the operator's host computer 18. The operator's host computer 18 sends the hopper information to the main processor 19 and then transmits it to the sub-processor 14. Based on the hopper information, the system controls the antenna box 10 to supply alternating current, generating an alternating magnetic field. At the same time, the system checks whether each device (such as radar level gauge 21, monitoring camera, wireless bridge, etc.) is working properly. If a device malfunction is detected, an alarm message is immediately issued.

[0041] Positioning and Driving Phase of Unloading Trolley 1: The alternating magnetic field generated by antenna box 10 induces an electromotive force in Gray busbar 7. Based on the absolute address of Gray busbar 7 corresponding to different bin locations, the moving step size and address line intersection length of unloading trolley 1 are calculated. Under the control of on-board control cabinet 2, unloading trolley 1 automatically travels along the set path. The position of the trolley is monitored in real time by the Gray busbar positioning system to ensure that it accurately travels to the set bin unloading point. During the driving process, the running trajectory of unloading trolley 1 is displayed in real time on the main screen of unloading trolley 1.

[0042] Material level monitoring and unloading stage: As the unloading trolley 1 approaches the set hopper level, its speed gradually decreases. Upon reaching the unloading point, the high-definition PTZ camera and radar level gauge 21 begin operation. The camera monitors the material level at the unloading port and within the hopper in real time, while the radar level gauge 21 measures the material height in the hopper. Video AI technology analyzes the monitoring footage to determine if there is any material accumulation. If the material accumulation exceeds the set 30%, the system automatically sends an alarm signal to the main operator in the control room. Based on the alarm information and the real-time monitoring footage, the main operator decides whether to pause unloading or adjust the unloading speed.

[0043] Unloading Confirmation and Completion Stage: After unloading is completed, the operator clicks on the image of the unloading trolley 1 on the main screen of the operator's host computer 18. After the camera confirms the position, a screenshot image pops up. The monitoring system automatically identifies the hopper indicator and compares it, displaying the comparison result on the operation interface. After the central control personnel confirm that the unloading is correct, this loading operation is completed. The system records relevant data for this loading operation, including loading time, hopper position, loading quantity, etc., and updates the trend tracking curve and historical data records.

[0044] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. For those skilled in the art, various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and these variations still fall within the protection scope of the present invention.

Claims

1. An unmanned material feeding system based on automated control and Gray busbar, characterized in that: include The unloading trolley (1) moves on top of multiple converters on the same production line, and the unloading port of the unloading trolley (1) is located above the hopper of the converter. The unloading trolley (1) is equipped with a vehicle control cabinet (2) and a control panel (3). The vehicle control cabinet (2) is connected to the control panel (3) for controlling the movement and unloading of the unloading trolley (1). The vehicle control cabinet (2) is equipped with an isolation transformer (4), a switching power supply (5) and an address code generator (6). The isolation transformer (4) is used for AC-DC voltage conversion and input to the switching power supply (5) to power the address code generator (6). The address code generator (6) is used to generate and amplify the address carrier signal. Gray bus (7) is used to sense the position of unloading trolley (1). The two ends of Gray bus (7) are connected to terminal box (8) and starting box (9) respectively. An antenna box (10) is provided on the outside of Gray bus (7), and the antenna box (10) is energized with Gray bus (7) to generate and transmit address signals. The wireless bridge includes a vehicle-mounted bridge (11) and a ground bridge (12). The vehicle-mounted bridge (11) is installed on the unloading trolley (1), and the ground bridge (12) is installed on the ground. The vehicle-mounted bridge (11) and the ground bridge (12) are wirelessly connected. The ground control cabinet (13) is equipped with a sub-processor (14). The sub-processor (14) is connected to the first optoelectronic switch (15) via an Ethernet cable to receive data from the ground bridge (12). The sub-processor (14) is connected to the address decoder (16) via a Gray bus (7) lead wire to receive the sensing signal from the Gray bus (7). The control terminal (17) includes an operator host computer (18) and a main processor (19). The operator host computer (18) is electrically connected to the main processor (19) through a second optoelectronic switch (20). The first optoelectronic switch (15) and the second optoelectronic switch (20) are connected by an optical cable. A radar level gauge (21) is installed at the silo opening to accurately measure the material height at the silo opening and transmit the material level information to the main processor (19) in real time.

2. The unmanned material feeding system based on automated control and Gray busbar according to claim 1, characterized in that: The Gray busbar (7) is installed on one side of the single-sided guardrail of the unloading trolley (1), and the Gray busbar (7) is aligned with the direction of the production line. Tracks (22) are installed on the top of multiple converters on the same production line. The unloading trolley (1) is driven by a motor (23) to travel on the track (22).

3. The unmanned material feeding system based on automated control and Gray busbar according to claim 1, characterized in that: Several supports are provided between the terminal box (8) and the starting box (9). The multiple supports are arranged in a linear array along the direction of the Gray bus (7), and the distance between two adjacent supports is set to 2m. The distance between the antenna box (10) and the Gray bus (7) is set to 80mm.

4. The unmanned material feeding system based on automated control and Gray busbar according to claim 1, characterized in that: The vehicle control cabinet (2) is equipped with an IM153 interface module (24) and a relay (25), and the IM153 interface module (24) and the relay (25) are electrically connected to the control panel (3) for receiving and controlling I / O signals.

5. The unmanned material feeding system based on automated control and Gray busbar according to claim 1, characterized in that: The number of radar level gauges (21) matches the number of converters. Multiple radar level gauges (21) are distributed one-to-one above the high-level material silo of the converter tower, and multiple radar level gauges (21) are electrically connected to the main processor (19) through shielded cables.

6. The unmanned material feeding system based on automated control and Gray busbar according to claim 1, characterized in that: The unloading trolley (1) is equipped with a monitoring camera and a supplementary light. The monitoring camera is positioned at the observation hole of the unloading port of the unloading trolley (1) to monitor and determine the material level in the silo in real time. The supplementary light is used to provide illumination when there is insufficient light.

7. The unmanned material feeding system based on automated control and Gray busbar according to claim 6, characterized in that: The main processor (19) has a built-in AI processing module that uses video AI technology to delineate material stacking points and set the proportion of material stacking point intervals within the monitoring interface obtained by the monitoring camera, and then feeds back the data.

8. The unmanned material feeding system based on automated control and Gray busbar according to claim 1, characterized in that: Both the unloading trolley (1) and the operator host computer (18) are equipped with alarms to provide alarm prompts when the unloading trolley (1) encounters an abnormality.

9. The unmanned material feeding system based on automated control and Gray busbar according to claim 1, characterized in that: Both the sub-processor (14) and the main processor (19) are PLCs. The control terminal (17) controls the operation of the ground control cabinet (13) of at least one production line, and the control circuits of the sub-processors (14) and the main processor (19) corresponding to multiple production lines are connected in parallel.

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