Intelligent unattended rapid loading system

Abstract

The present invention discloses an intelligent unattended rapid loading system, which includes the following steps: S1, intelligent identification: using high-definition cameras and image recognition algorithms to automatically identify vehicle types, license plate numbers, vehicle dimensions and other information; S2, precise control: through an integrated automated control system, the operation of loading equipment such as elevators and conveyor belts is precisely controlled; S3, replenishment warning: real-time monitoring of material inventory. The intelligent unattended rapid loading system can realize rapid identification and positioning of vehicles, automatically complete the loading process, and does not require frequent manual operations, greatly shortening the loading time. At the same time, with the help of advanced control systems and algorithms, it can coordinate multiple loading equipment to realize simultaneous loading of multiple vehicles or simultaneous loading of multiple parts of the same vehicle, further improving loading efficiency, and is equipped with high-precision metering equipment and sensors, which can accurately control the loading volume of materials.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent loading technology, in particular to an intelligent unattended rapid loading system. Background Art

[0002] Companies producing bulk materials such as coal and ore have extremely high requirements for the efficiency and accuracy of the loading system due to their large output and heavy loading tasks. Traditional manual loading or simple mechanical loading methods cannot meet the needs of large-scale and high-efficiency production. At the same time, the rapid development of the logistics industry has put forward higher requirements for the loading and unloading efficiency and transportation quality of goods. In order to achieve rapid turnover and efficient transportation of goods, logistics companies need advanced loading systems that can seamlessly connect with logistics information systems to achieve automatic identification of goods, rapid loading and real-time tracking of information, and improve the overall level of logistics services.

[0003] Traditional loading systems mainly rely on simple mechanical transmission technologies, such as belt conveyors and scraper conveyors, to transfer materials from storage points to transport vehicles, and use simple electrical components such as relays and contactors to start and stop loading equipment. Operators manually control the operation of motors on site through control buttons and other methods, thereby controlling the operation of loading equipment and realizing material loading operations. However, manual operation speed is limited and prone to fatigue, resulting in a slow loading process and long waiting time for vehicles. During peak logistics periods or when business is busy, it is easy to cause transportation congestion, affecting overall logistics efficiency. In addition, the coordination between various devices in some loading systems is insufficient, and there is a lack of effective unified scheduling and coordination mechanisms. In addition, due to the inefficiency of vehicle positioning and docking, as well as the limited loading speed, the turnover time of vehicles at the loading site is relatively long. For logistics companies and companies with large cargo transportation volumes, this means that the operating efficiency of vehicles is low, which increases transportation costs and time costs.

[0004] Therefore, we proposed an intelligent unattended rapid loading system to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent unattended rapid loading system to solve the problems raised by the above background technology that the traditional loading system on the market currently relies on a large amount of manual operation, which leads to transportation congestion during logistics peak periods or when business is busy, affecting the overall logistics efficiency, and has poor equipment coordination and slow vehicle turnover.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an intelligent unattended rapid loading system, comprising the following steps: S1, intelligent identification: using high-definition cameras and image recognition algorithms to automatically identify vehicle types, license plate numbers, vehicle dimensions and other information; S2, precise control: through an integrated automated control system, accurately control the operation of loading equipment such as elevators and conveyor belts; S3, material replenishment warning: real-time monitoring of material inventory; S4, vehicle deviation correction: real-time monitoring of vehicle position during loading; S5, overflow detection: through sensors and machine vision technology, real-time monitoring of whether there is overflow during loading; S6, vehicle positioning: real-time tracking and recording of vehicle location information; S7, vehicle moving reminder: after the loading operation is completed, a vehicle moving reminder is automatically issued; S8, remote control: the operator can monitor the loading operation status in real time through a remote terminal; S9, real-time monitoring: integrated real-time monitoring function, real-time display of image and video information, loading data, etc. of the loading operation site; S10, abnormal handling: automatic identification and handling of abnormal conditions during loading; S11, emergency stop: an emergency stop function is provided.

[0007] Preferably, the loading plan is recorded in S1 through a loading information card, which includes information such as the unit name, driver's name and appearance information, license plate number and pre-loaded quantity, and the license plate number is automatically captured and recognized by a license plate recognition camera, and double-verified with the order information in the system. After the verification is passed, the relevant information is uploaded to the system to provide a basis for subsequent data processing and intelligent analysis. At the same time, the driver's appearance information and vehicle license plate information are automatically recognized through a face recognition device to provide accurate data support for loading operations and avoid loading errors caused by human misjudgment.

[0008] Preferably, in S2, an intelligent guidance system is used to accurately match the order information and prompt the driver to drive into the designated storage lane. At the same time, an intelligent guidance system is used to accurately match the order information and prompt the driver to drive into the designated storage lane. Then, through the operation of loading equipment such as elevators and conveyor belts, materials are ensured to be accurately loaded into the vehicle according to the predetermined quantity, thereby reducing material waste and damage.

[0009] Preferably, in S3, various types of level sensors are installed in the silo or storage equipment, such as radar level meter, ultrasonic level meter, radio frequency admittance level meter, etc. These sensors can monitor the height or storage amount of the material in the silo in real time, and a flow sensor is installed on the material conveying pipeline to monitor the material conveying flow in real time. The flow sensor can obtain the amount of material passing through the pipeline per unit time, so as to understand the consumption rate of the material. When the inventory is lower than the preset threshold, the refueling warning is automatically triggered to remind the operator to replenish the material in time to ensure the continuity of the loading operation.

[0010] Preferably, in said S4, high-precision positioning equipment, such as a laser positioning system, a geomagnetic positioning system or a vision-based positioning system, is installed on the ground or surrounding facilities of the loading area. At the same time, corresponding positioning marks or sensors, such as reflectors, geomagnetic sensors, vehicle-mounted cameras, etc., are installed on the vehicle, so that the positioning system can accurately identify the position and posture of the vehicle, and the positioning equipment obtains the position information of the vehicle in real time by transmitting and receiving signals, and determines the specific coordinates, driving direction and angle of the vehicle in the loading area. These positioning data will serve as the basis for subsequent vehicle correction, and the ideal position and posture parameters of the vehicle during loading are pre-set in the system, including the relative position of the vehicle and the loading equipment, the alignment of the central axis of the vehicle with the center line of the loading chute, and other standards. If it is detected that the vehicle deviates from the predetermined position, the position of the loading equipment is automatically adjusted to ensure that the material is correctly loaded into the vehicle.

[0011] Preferably, in S5, the system starts the material loading process and performs uninterrupted, high-precision real-time monitoring of the loading position through a high-precision sensor array. When the loading reaches a predetermined height or weight, the system automatically closes the unloading valve. Once overflow is detected, the loading operation is immediately stopped and an alarm signal is issued to avoid material waste and environmental pollution.

[0012] Preferably, in the S6, a plurality of laser radar sensors are installed at fixed positions around the loading area. These sensors should be able to cover the entire loading area to ensure that the vehicle can be scanned by the laser beam at any position. At the same time, a special reflector or reflective marker is installed on the vehicle to reflect the laser beam emitted by the laser radar so that the sensor can capture the vehicle's position information. The laser radar sensor emits a laser beam at a certain frequency. After encountering the reflector or reflective marker on the vehicle, the laser beam will be reflected back to the sensor. At the same time, the sensor records the time from the emission to the reception of the laser beam, and calculates the distance between the sensor and the reflection point on the vehicle based on the speed of light and the time difference, which is used for the time when the vehicle enters the loading area, the stay time, the departure time, etc., to provide basic data for subsequent data analysis and operation optimization.

[0013] Preferably, in S7, a high-definition camera is used to capture and record high-definition images of key angles of the vehicle loading status in real time. At the same time, the system performs intelligent analysis on the images, identifies and marks possible abnormalities or violations, and then when the vehicle is ready to leave, the system synchronously triggers the gate access control system, automatically verifies the vehicle identity and opens the channel through license plate recognition technology, and notifies the operator to move the vehicle out of the loading area for the next round of loading operations, thereby ensuring the continuity and efficiency of the loading operations.

[0014] Preferably, remote operation and parameter adjustment are performed in S8 to improve the flexibility and convenience of the operation. At the same time, the system summarizes and analyzes all data in the loading process to generate a detailed loading report. Management personnel can view and analyze data in real time through the remote monitoring system to continuously optimize the loading process.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: the intelligent unattended rapid loading system adopts a new structural design, and its specific contents are as follows: (1) It can realize rapid identification and positioning of vehicles and automatically complete the loading process without frequent manual operations, greatly shortening the loading time. Compared with traditional manual or semi-automatic loading systems, it can significantly increase the loading speed, reduce vehicle waiting time, and improve overall logistics efficiency. Furthermore, with the help of advanced control systems and algorithms, the intelligent unmanned rapid loading system can coordinate multiple loading equipment at the same time, realize the loading of multiple vehicles at the same time or the loading of multiple parts of the same vehicle at the same time, further improving the loading efficiency.

[0016] (2) Equipped with high-precision metering equipment and sensors, it can accurately control the loading volume of materials and achieve high metering accuracy, thus avoiding the situation of overloading or underloading that may occur during manual loading, ensuring that the loading volume of each vehicle meets the specified requirements and reducing the problems caused by inaccurate loading volume. Furthermore, by using advanced positioning technology, the system can accurately control the relative position of the loading equipment and the vehicle, ensuring that the materials are accurately loaded into the designated position of the vehicle, improving the neatness of loading and space utilization, and facilitating subsequent transportation and warehousing operations.

[0017] (3) Due to the unmanned operation, operators do not need to perform dangerous loading operations on site, thus avoiding direct contact between personnel and materials and equipment, and reducing the risk of accidental injury to personnel, such as being hit by materials or being pinched by equipment. Furthermore, it has complete safety monitoring and early warning functions. Through various sensors and monitoring equipment installed on site, the system's operating status and environmental parameters are monitored in real time. Once an abnormal situation is detected, such as equipment failure, material leakage, vehicle violation, etc., the system will immediately issue an alarm and take corresponding safety measures, such as automatic shutdown, valve closing, etc., to effectively prevent the occurrence of safety accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the process flow of the loading system of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] See also Figure 1The present invention provides a technical solution: an intelligent unattended rapid loading system, comprising the following steps: S1, intelligent identification: using a high-definition camera and an image recognition algorithm to automatically identify the vehicle type, license plate number, vehicle size and other information. In S1, the loading plan is recorded through a loading information card, which contains information such as the unit name, the driver's name and appearance information, the license plate number and the pre-loaded quantity, and the license plate number is automatically captured and identified by a license plate recognition camera, and double-verified with the order information in the system. After the verification is passed, the relevant information is uploaded to the system to provide a basis for subsequent data processing and intelligent analysis. At the same time, the driver's appearance information and vehicle license plate information are automatically identified through a face recognition device. Provide accurate data support for loading operations to avoid loading errors caused by human misjudgment; S2, precise control: Through the integrated automatic control system, the operation of loading equipment such as elevators and conveyor belts is precisely controlled. In S2, the intelligent guidance system accurately matches and prompts the driver to drive into the designated storage lane according to the order information, and then through the operation of loading equipment such as elevators and conveyor belts, ensure that the materials are accurately loaded into the vehicle according to the predetermined quantity, reducing material waste and damage; S3, material replenishment warning: real-time monitoring of material inventory, various types of material level sensors are installed in the silo or storage equipment in S3, such as radar level meter, Ultrasonic level meters, radio frequency admittance level meters, etc. These sensors can monitor the height or storage of materials in the silo in real time, and flow sensors are installed on the material conveying pipeline to monitor the material conveying flow in real time. The flow sensor can obtain the amount of material passing through the pipeline per unit time, so as to understand the material consumption rate. When the inventory is lower than the preset threshold, it will automatically trigger the replenishment warning to remind the operator to replenish the material in time to ensure the continuity of the loading operation; S4, vehicle correction: real-time monitoring of the vehicle position during loading. In S4, high-precision positioning equipment is installed on the ground or surrounding facilities in the loading area, such as laser positioning system, geomagnetic positioning system or vision-based positioning system, etc. , install corresponding positioning marks or sensors on the vehicle, such as reflectors, geomagnetic sensors, on-board cameras, etc., so that the positioning system can accurately identify the position and posture of the vehicle, and the positioning equipment obtains the vehicle's position information in real time by transmitting and receiving signals, and determines the vehicle's specific coordinates, driving direction and angle and other parameters in the loading area. These positioning data will serve as the basis for subsequent vehicle correction, and the ideal position and posture parameters of the vehicle during loading are pre-set in the system, including the relative position of the vehicle and the loading equipment, the alignment of the vehicle's central axis with the center line of the loading chute and other standards. If it is detected that the vehicle deviates from the predetermined position, the position of the loading equipment is automatically adjusted to ensure that the materials are correctly loaded into the vehicle;S5. Overflow detection: Through sensors and machine vision technology, real-time monitoring of whether there is any overflow during the loading process. In S5, the system starts the material loading process and uses a high-precision sensor array to continuously and accurately monitor the loading position in real time. When the loading reaches a predetermined height or weight, the system automatically closes the unloading valve. Once overflow is detected, the loading operation is immediately stopped and an alarm signal is issued to avoid material waste and environmental pollution. S6. Vehicle positioning: Real-time tracking and recording of vehicle location information. In S6, multiple lidar sensors are installed at fixed positions around the loading area. These sensors must It can cover the entire loading area to ensure that the vehicle can be scanned by the laser beam at any position. At the same time, a special reflector or reflective marker is installed on the vehicle to reflect the laser beam emitted by the lidar so that the sensor can capture the vehicle's location information. The lidar sensor emits a laser beam at a certain frequency. After encountering the reflector or reflective marker on the vehicle, the laser beam will be reflected back to the sensor. At the same time, the sensor records the time from the emission to the reception of the laser beam. According to the speed of light and the time difference, the distance between the sensor and the reflection point on the vehicle is calculated, which is used to calculate the time when the vehicle enters the loading area, stays there, and leaves. time, etc., to provide basic data for subsequent data analysis and operation optimization; S7, vehicle moving reminder: after the loading operation is completed, a vehicle moving reminder is automatically issued. In S7, a high-definition camera is used to capture and record high-definition images of key angles of the vehicle loading status in real time. At the same time, the system performs intelligent analysis on the images, identifies and marks possible abnormalities or violations, and then when the vehicle is ready to leave, the system synchronously triggers the gate access control system, automatically verifies the vehicle identity and opens the channel through license plate recognition technology, and notifies the operator to move the vehicle out of the loading area for the next round of loading operations, ensuring the continuity and safety of the loading operation. High efficiency; S8, remote control: Operators can monitor the loading operation status in real time through the remote terminal, and perform remote operation and parameter adjustment in S8 to improve the flexibility and convenience of the operation. At the same time, the system will summarize and analyze all data during the loading process and generate a detailed loading report. Managers can view and analyze data in real time through the remote monitoring system to continuously optimize the loading process; S9, real-time monitoring: integrated real-time monitoring function, real-time display of image and video information, loading data, etc. of the loading operation site; S10, abnormal handling: automatic identification and handling of abnormal situations during the loading process;S11. Emergency stop: With the emergency stop function, the vehicle can be quickly identified and located, and the loading process can be automatically completed without frequent manual operations, which greatly shortens the loading time. Compared with the traditional manual or semi-automatic loading system, it can significantly improve the loading speed, reduce the waiting time of the vehicle, and improve the overall logistics efficiency. With the help of advanced control systems and algorithms, the intelligent unattended fast loading system can coordinate multiple loading equipment at the same time, realize the loading of multiple vehicles at the same time or the loading of multiple parts of the same vehicle at the same time, further improving the loading efficiency. It is equipped with high-precision metering equipment and sensors, which can accurately control the loading volume of materials and achieve high metering accuracy, avoiding the situation of over-loading or under-loading that may occur during manual loading, ensuring that the loading volume of each vehicle meets the specified requirements, reducing the problems caused by inaccurate loading volume, and utilizing With advanced positioning technology, the system can accurately control the relative position of loading equipment and vehicles, ensuring that materials are accurately loaded into the designated position of the vehicle, improving the neatness of loading and space utilization, which is beneficial to subsequent transportation and warehousing operations. In addition, since it is unmanned, operators do not need to perform dangerous loading operations on site, avoiding direct contact between personnel and materials and equipment, and reducing the risk of accidental injuries to personnel, such as being hit by materials or being pinched by equipment. It has perfect safety monitoring and early warning functions, and monitors the operating status and environmental parameters of the system in real time through various sensors and monitoring equipment installed on site. Once abnormal conditions are found, such as equipment failure, material leakage, vehicle violation, etc., the system will immediately issue an alarm and take corresponding safety measures, such as automatic shutdown, valve closing, etc., to effectively prevent the occurrence of safety accidents. ;

[0021] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. Intelligent unattended rapid loading system, characterized by: The following steps are involved: S1. Intelligent identification: Use high-definition cameras and image recognition algorithms to automatically identify vehicle type, license plate number, vehicle size and other information; S2. Precision control: Through an integrated automated control system, accurately control the operation of loading equipment such as elevators and conveyor belts; S3. Replenishment warning: Real-time monitoring of material inventory; S4. Vehicle deviation correction: Real-time monitoring of vehicle position during loading; S5. Overflow detection: Through sensors and machine vision technology, real-time monitoring of whether there is overflow during loading; S6. Vehicle positioning: Real-time tracking and recording of vehicle location information; S7. Vehicle moving reminder: After the loading operation is completed, a vehicle moving reminder is automatically issued; S8. Remote control: The operator can monitor the loading operation status in real time through the remote terminal; S9. Real-time monitoring: The integrated real-time monitoring function can display the image and video information, loading data, etc. of the loading operation site in real time; S10. Abnormal handling: Automatically identify and handle abnormal situations during the loading process; S11. Emergency stop: Equipped with an emergency stop function.

2. The intelligent unattended rapid loading system according to claim 1 is characterized by: In the S1, the loading plan is recorded through the loading information card, which includes information such as the unit name, driver's name and appearance information, license plate number and pre-loaded quantity. The license plate number is automatically captured and recognized by the license plate recognition camera, and double verification is performed with the order information in the system. After the verification is passed, the relevant information is uploaded to the system to provide a basis for subsequent data processing and intelligent analysis. At the same time, the driver's appearance information and vehicle license plate information are automatically recognized through the face recognition device to provide accurate data support for the loading operation and avoid loading errors caused by human misjudgment.

3. The intelligent unattended rapid loading system according to claim 1 is characterized by: In S2, an intelligent guidance system is used to accurately match the order information and prompt the driver to drive into the designated storage lane. At the same time, an intelligent guidance system is used to accurately match the order information and prompt the driver to drive into the designated storage lane. Then, through the operation of loading equipment such as elevators and conveyor belts, materials are ensured to be accurately loaded into the vehicle according to the predetermined quantity, thereby reducing material waste and damage.

4. The intelligent unattended rapid loading system according to claim 1 is characterized by: In the S3, various types of material level sensors are installed in the silo or storage equipment, such as radar level meter, ultrasonic level meter, radio frequency admittance level meter, etc. These sensors can monitor the height or storage volume of the material in the silo in real time, and flow sensors are installed on the material conveying pipeline to monitor the material conveying flow in real time. The flow sensor can obtain the amount of material passing through the pipeline per unit time, so as to understand the material consumption rate. When the inventory is lower than the preset threshold, the refueling warning is automatically triggered to remind the operator to replenish the material in time to ensure the continuity of the loading operation.

5. The intelligent unattended rapid loading system according to claim 1 is characterized by: In the S4, high-precision positioning equipment is installed on the ground or surrounding facilities in the loading area, such as a laser positioning system, a geomagnetic positioning system or a vision-based positioning system, etc. At the same time, corresponding positioning marks or sensors are installed on the vehicle, such as reflectors, geomagnetic sensors, vehicle-mounted cameras, etc., so that the positioning system can accurately identify the position and posture of the vehicle. The positioning equipment obtains the vehicle's position information in real time by transmitting and receiving signals, and determines the vehicle's specific coordinates, driving direction and angle and other parameters in the loading area. These positioning data will serve as the basis for subsequent vehicle correction, and the ideal position and posture parameters of the vehicle during loading are pre-set in the system, including the relative position of the vehicle and the loading equipment, the alignment of the vehicle's central axis with the center line of the loading chute and other standards. If it is detected that the vehicle deviates from the predetermined position, the position of the loading equipment is automatically adjusted to ensure that the material is correctly loaded into the vehicle.

6. The intelligent unattended rapid loading system according to claim 1 is characterized by: In S5, the system starts the material loading process and performs uninterrupted, high-precision real-time monitoring of the loading position through a high-precision sensor array. When the loading reaches a predetermined height or weight, the system automatically closes the unloading valve. Once overflow is detected, the loading operation is immediately stopped and an alarm signal is issued to avoid material waste and environmental pollution.

7. The intelligent unattended rapid loading system according to claim 1 is characterized by: In the S6, multiple laser radar sensors are installed at fixed positions around the loading area. These sensors should be able to cover the entire loading area to ensure that the vehicle can be scanned by the laser beam at any position. At the same time, a special reflector or reflective marker is installed on the vehicle to reflect the laser beam emitted by the laser radar so that the sensor can capture the vehicle's position information. The laser radar sensor emits a laser beam at a certain frequency. After encountering the reflector or reflective marker on the vehicle, the laser beam will be reflected back to the sensor. At the same time, the sensor records the time from the emission to the reception of the laser beam. According to the speed of light and the time difference, the distance between the sensor and the reflection point on the vehicle is calculated, which is used to calculate the time when the vehicle enters the loading area, the stay time, the departure time, etc., to provide basic data for subsequent data analysis and operation optimization.

8. The intelligent unattended rapid loading system according to claim 1 is characterized by: In the S7, a high-definition camera is used to capture and record high-definition images of key angles of the vehicle loading status in real time. At the same time, the system performs intelligent analysis on the images, identifies and marks possible abnormalities or violations, and then when the vehicle is ready to leave, the system synchronously triggers the gate access control system, automatically verifies the vehicle identity and opens the channel through license plate recognition technology, and notifies the operator to move the vehicle out of the loading area for the next round of loading operations, thereby ensuring the continuity and efficiency of the loading operations.

9. The intelligent unattended rapid loading system according to claim 1 is characterized by: The S8 performs remote operation and parameter adjustment to improve the flexibility and convenience of the operation. At the same time, the system summarizes and analyzes all data during the loading process to generate a detailed loading report. Management personnel can view and analyze data in real time through the remote monitoring system to continuously optimize the loading process.

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