Intelligent unattended quick loading system

Abstract

The present application relates to the technical field of loading system, in particular to an intelligent unattended quick loading system; the intelligent loading system of the present application takes automatic license plate recognition as a vehicle identity recognition means, combines with ground sale business logic, automatically controls the ground scale peripheral equipment, guides the vehicle to go up and down the ground scale, realizes the vehicle guidance under the warehouse, and according to the vehicle information, carries out the loading operation of the specified coal quality and quantity, registers the delivery information, prevents the weighing cheating, automatically loads the vehicle, prints the bill and realizes a series of intelligent operation such as the single inspection and factory delivery, and effectively connects with the sales system and enterprise information management system, and through increasing the digitalization and intelligent application, improves the work efficiency, reduces the manual participation and lowers the labor cost.

Description

Technical Field

[0001] This invention relates to the field of loading system technology, and in particular to an intelligent unattended rapid loading system. Background Technology

[0002] With the development of technology, the truck loading process is gradually becoming intelligent and automated. Truck loading is a process involving multiple links and factors, and its efficiency, safety and accuracy are crucial for logistics transportation. The specific process includes vehicle inspection, cargo preparation, personnel arrangement, vehicle positioning, cargo loading, cargo securing, information recording, cargo inspection, vehicle inspection and information verification.

[0003] However, the existing loading system has the following drawbacks: First, drivers queue in an unordered manner, which can easily lead to conflicts; second, when there are many vehicles, drivers often compete for the weighbridge, and cheating also occurs from time to time; third, drivers may arbitrarily change the vehicle's position, resulting in inconsistent product prices and causing direct economic losses; fourth, some customers do not assign vehicles reasonably according to the salesperson's arrangement, causing vehicles to not be shipped out on the same day; fifth, some customers' daily demand is not in the salesperson's plan, and additional vehicles are added on the spot, resulting in a vicious cycle where vehicles cannot be loaded every day; sixth, some drivers do not load according to the invoice information, and arbitrarily change warehouse numbers and occupy warehouses; seventh, it is difficult to statistically analyze the real-time sales and purchase volumes of various products, and the statistical results are only available after 11 pm on the same day, which often results in data errors. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent, unattended, rapid loading system, aiming to solve the following shortcomings of existing loading systems: First, disorderly queuing by drivers easily leads to conflicts; second, when there are many vehicles, drivers frequently compete for the weighbridge, and cheating also occurs; third, drivers may arbitrarily change vehicle positions, resulting in inconsistent product prices and direct economic losses; fourth, some customers do not assign vehicles reasonably according to the salesperson's arrangements, causing vehicles to not be shipped out on the same day; fifth, some customers' daily demand is not in the salesperson's plan, and additional vehicles are added on the spot, creating a vicious cycle of unfilled daily loads; sixth, some drivers do not load according to the invoice information, arbitrarily changing warehouse numbers and occupying warehouses; seventh, real-time sales and purchase statistics for various products are difficult to obtain, and statistical results are only available after 11 pm, often resulting in data errors.

[0005] To achieve the above objectives, this invention employs an intelligent unattended rapid loading system, comprising a manual input terminal, an entrance terminal, an exit terminal, and a silo loading platform. The manual input terminal is connected to a customer information work order data terminal, which is connected to an inbound temporary data generation terminal. The inbound temporary data generation terminal is connected to a basic data temporary cache terminal, which is connected to an Alibaba Cloud ECS server. The Alibaba Cloud ECS server is connected to a local server, which includes a vehicle queuing and calling unit, a vehicle information display unit, a mobile APP sending unit, a resource import unit, and a service operation unit. The local server is connected to a personnel rest terminal, the entrance terminal is connected to an entrance gate terminal, the entrance gate terminal includes an entrance monitoring module, an entrance gate module, a weighing module, and a license plate recognition module, the entrance gate terminal is connected to a vehicle management terminal, the exit terminal is connected to an exit gate terminal, the exit gate terminal includes a test weighing module, an exit information registration module, an exit recognition module, and an exit gate module, the exit gate terminal is connected to a work order data callback terminal, the silo loading platform is connected to a setting center, an interlock terminal, and an automatic operation docking terminal, and the personnel rest terminal, the vehicle management terminal, and the work order data callback terminal are all connected to the silo loading platform;

[0006] The manual input terminal is used to input various information about trucks and drivers. The entrance monitoring module is used to monitor vehicles based on various information. The entrance gate module is used to control the gate to open based on monitoring data. The weighing module is used to detect the weight of vehicles. The license plate recognition module is used to select whether to allow passage based on whether the vehicle license plate matches the input information.

[0007] The vehicle management terminal is used to park eligible vehicles and control the number of vehicles entering the site. Vehicles are not allowed to enter the site if the limit is exceeded. The personnel rest terminal is used as a place for drivers to rest.

[0008] The vehicle queuing and calling unit is used to automatically sort vehicles according to the order of entry and call the number to remind the driver when it is their turn. The vehicle information display unit is used to display the sorting information on the display screen. The mobile APP sending unit is used to send the number to the driver's mobile phone.

[0009] The hopper loading platform is used to load goods onto the truck bed of a vehicle using automated technology;

[0010] The weighing module is used to weigh the vehicle loaded with goods, the export information registration module is used to register the goods in the truck bed and issue an invoice, the export identification module is used to identify the goods based on the entered information, and the export gate module selects whether to release the vehicle based on the identified information.

[0011] The first camera unit, the second camera unit, the third camera unit, and the fourth camera unit are used to observe various information about the vehicle.

[0012] The entrance barrier module includes an entrance barrier main unit and an entrance barrier arm unit, both of which are connected to the entrance end.

[0013] The entrance barrier gate host unit is used to control whether the entrance barrier gate arm unit raises the arm.

[0014] The weighing module includes a first weighbridge unit, a weighing comparison unit, and a first LED display unit, all of which are connected to the inlet end.

[0015] The first weighbridge unit is used to weigh vehicles. The weighing comparison unit is used to compare the weighed data with the pre-stored data. When there is a large deviation between the tare weight data and the pre-stored data, loading is not allowed and the administrator is notified to check. The first LED display unit is used to display the weighing data through the LED display screen.

[0016] The license plate recognition module includes a high-definition camera unit and an image recognition unit, both of which are connected to the entrance end.

[0017] The high-definition camera unit and the image recognition unit are used to capture images of license plates and then extract text from the images. The key steps of license plate image recognition mainly include on-site image capture, grayscale processing, vehicle number positioning, character extraction, number comparison, obtaining results, comparing and reading the identified vehicle information with the relevant information in the background database and the information previously transmitted into the sales database.

[0018] The silo loading platform includes an information identification unit, a laser detection unit, an artificial intelligence unit, a light curtain scanning unit, an automatic feeding unit, an ultrasonic radar unit, and a radar level monitoring unit.

[0019] The information recognition unit is used to identify license plate numbers and vehicle information. The laser detection unit is used to realize real-time modeling of the loading site through laser monitoring. Then, the artificial intelligence unit analyzes the data to automatically distinguish the boundaries of trucks transporting bulk materials and the loading status of goods.

[0020] The light curtain scanning unit is used to scan vehicle position information, determine parking position, sideboard height, front sideboard position, and chute position. When the position is appropriate, the system starts loading; when the position is inappropriate, the system automatically prompts the driver to move forward or backward to adjust the orientation.

[0021] The automatic feeding unit is used to automatically feed material into the truck bed of a vehicle in a suitable position via a metering belt feeder. The ultrasonic radar unit judges the loading level in real time, and the system automatically prompts the vehicle to move forward slowly. At the same time, the radar judges the position of the rear of the vehicle in real time. The radar material level monitoring unit is used to compare the feedback data from the metering belt feeder with the system's preload in real time. When the preload setting value is reached, the system automatically closes the gate.

[0022] The weighing module includes a second weighbridge unit and a second LED display unit, both of which are connected to the outlet end.

[0023] The second weighbridge unit is used to weigh the loaded vehicles and displays the weighing data through the second LED display unit.

[0024] The export identification module includes a cargo information verification unit and a vehicle information identification unit, both of which are connected to the export end.

[0025] The cargo information verification unit is used to verify the weight and type of the cargo;

[0026] The vehicle information recognition unit is used to identify the information of vehicles leaving the factory.

[0027] The exit barrier module includes an exit barrier main unit and an exit barrier arm unit, both of which are connected to the exit end.

[0028] The exit gate control unit is used to control whether the exit gate arm unit raises its arm.

[0029] The setting center includes a login unit, a camera reference unit, a company management unit, a department management unit, a permission management unit, a user management unit, and a RAM user management unit. The login unit, the camera reference unit, the company management unit, the department management unit, the permission management unit, the user management unit, and the RAM user management unit are all connected to the silo loading platform.

[0030] The login unit is used for authentication forms, mobile phone verification codes, and RAM user logins, and will give prompts for successful or failed logins. At the same time, it will decrypt and compare the password with the database based on the current subject.

[0031] The camera reference unit is used to provide an interface for running the camera-input file to perform functional logic based on the current camera IP and serial number;

[0032] The company management unit is used to automatically generate user administrator accounts. The username is generated by default with the company's first letter capitalized, and administrator role information is added by default for subsequent addition of other members or operations.

[0033] The permission management unit is used to manage module name, parent menu, permission code, permission code, status, and main menu name;

[0034] The user management unit is used to manage username, password, name, mobile phone number, employee ID, email address, whether information is pushed, age, gender, status, department, mobile phone number, and verification code;

[0035] The RAM user management unit is used to create sub-accounts of the current account, and users can choose to inherit the permissions of the currently logged-in user or use it for third-party applications to integrate with this system.

[0036] This invention discloses an intelligent unattended rapid loading system for automobiles. The system uses automatic license plate recognition as vehicle identification, combined with local sales business logic, to automatically control equipment around the weighbridge, guiding vehicles onto and off the weighbridge, achieving vehicle guidance under the warehouse, and performing loading operations according to the prescribed coal quality and quantity based on vehicle information. The system includes a series of intelligent operations such as registering vehicle dispatch information, preventing weighing fraud, unattended automatic loading, printing invoices, and verifying delivery documents. It also achieves effective integration with the sales system and enterprise information management system. Furthermore, by increasing the application of digitalization and intelligence, it improves work efficiency, reduces manual intervention, and lowers labor costs, effectively solving the problems existing in current loading systems. The following are some drawbacks: First, drivers queue in an unordered manner, which can easily lead to conflicts; second, when there are many vehicles, drivers often compete for the weighbridge, and cheating also occurs from time to time; third, drivers may arbitrarily modify vehicle positions, resulting in inconsistent product prices and causing direct economic losses; fourth, some customers may not assign vehicles reasonably according to the salesperson's arrangements, causing vehicles to not be shipped out on the same day; fifth, some customers' daily demand is not in the salesperson's plan, and additional vehicles are added on the spot, creating a vicious cycle where vehicles cannot be fully loaded every day; sixth, some drivers do not load according to the invoice information, and arbitrarily change warehouse numbers and occupy warehouses; seventh, it is difficult to statistically analyze the real-time sales and purchase volumes of various products, and the statistical results are only available after 11 pm on the same day, often resulting in technical problems such as data errors. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0038] Figure 1This is a schematic diagram of the intelligent unattended rapid loading system of the present invention.

[0039] Figure 2 This is a schematic diagram of the principle of the local server in the intelligent unattended rapid loading system of the present invention.

[0040] Figure 3 This is a schematic diagram of the principle of the entrance gate end of the intelligent unattended rapid loading system of the present invention.

[0041] Figure 4 This is a schematic diagram of the principle of the loading platform of the hopper in the intelligent unattended rapid loading system of the present invention.

[0042] Figure 5 This is a schematic diagram of the principle of the exit gate end of the intelligent unattended rapid loading system of the present invention.

[0043] Figure 6 This is a schematic diagram illustrating the principle of the setting center in the intelligent unattended rapid loading system of the present invention.

[0044] Figure 7 This is a schematic diagram of the entrance monitoring module in the intelligent unattended rapid loading system of the present invention.

[0045] Figure 8 This is a schematic diagram of the entrance gate module in the intelligent unattended rapid loading system of the present invention.

[0046] Figure 9 This is a schematic diagram of the weighing module in the intelligent unattended rapid loading system of the present invention.

[0047] Figure 10 This is a schematic diagram of the license plate recognition module in the intelligent unattended rapid loading system of the present invention.

[0048] Figure 11 This is a schematic diagram of the weighing module in the intelligent unattended rapid loading system of the present invention.

[0049] Figure 12 This is a schematic diagram of the exit identification module in the intelligent unattended rapid loading system of the present invention.

[0050] Figure 13 This is a schematic diagram of the principle of the exit gate module in the intelligent unattended rapid loading system of the present invention.

[0051] 1-Manual Input Terminal, 2-Entrance Terminal, 3-Exit Terminal, 4-Warehouse Loading Platform, 5-Customer Information Work Order Data Terminal, 6-Temporary Inbound Data Generation Terminal, 7-Temporary Basic Data Cache Terminal, 8-Alibaba Cloud ECS Server Terminal, 9-Local Server Terminal, 10-Vehicle Queueing and Calling Unit, 11-Vehicle Information Display Unit, 12-Mobile APP Sending Unit, 13-Resource Introduction Unit, 14-Service Operation Unit, 15-Personnel Rest Terminal, 16-Entrance Barrier Terminal, 17-Entrance Monitoring Module, 18-Entrance Barrier Terminal Module, 19-Weighing Module, 20-License Plate Recognition Module, 21-Vehicle Management Terminal, 22-Exit Barrier Terminal, 23-Trial Weighing Module, 24-Exit Information Registration Module, 25-Exit Recognition Module, 26-Exit Barrier Terminal Module, 27-Work Order Data Callback Terminal, 28-Setup Center, 29-Interlock Terminal, 30-Automatic Operation Interconnection Terminal, 31-First Camera Unit, 32-Second Camera Unit 33-Third Camera Unit, 34-Fourth Camera Unit, 35-Entrance Barrier Gate Main Unit, 36-Entrance Barrier Gate Arm Unit, 37-First Weighbridge Unit, 38-Weighing Comparison Unit, 39-First LED Display Unit, 40-High-Definition Camera Unit, 41-Image Recognition Unit, 42-Information Recognition Unit, 43-Laser Detection Unit, 44-Artificial Intelligence Unit, 45-Light Curtain Scanning Unit, 46-Automatic Feeding Unit, 47-Ultrasonic Radar Unit, 48-Radar Material Level Monitoring Unit, 49-Second Weighbridge Unit, 50-Second LED Display Unit, 51-Cargo Information Verification Unit, 52-Vehicle Information Recognition Unit, 53-Exit Barrier Gate Main Unit, 54-Exit Barrier Gate Arm Unit, 55-Login Unit, 56-Camera Reference Unit, 57-Company Management Unit, 58-Department Management Unit, 59-Access Control Unit, 60-User Management Unit, 61-RAM User Management Unit. Detailed Implementation

[0052] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0053] Please see Figures 1 to 13This invention provides an intelligent unattended rapid loading system, comprising a manual input terminal 1, an entrance terminal 2, an exit terminal 3, and a material loading platform 4. The manual input terminal 1 is connected to a customer information work order data terminal 5, which is connected to an inbound temporary data generation terminal 6. The inbound temporary data generation terminal 6 is connected to a basic data temporary cache terminal 7, which is connected to an Alibaba Cloud ECS server terminal 8. The Alibaba Cloud ECS server terminal 8 is connected to a local server terminal 9, which includes a vehicle queuing and calling unit 10, a vehicle information display unit 11, a mobile APP sending unit 12, a resource import unit 13, and a service operation unit 14. The local server terminal 9 is also connected to a personnel rest terminal 1. 5. The entrance end 2 is connected to the entrance gate end 16, which includes an entrance monitoring module 17, an entrance gate module 18, a weighing module 19, and a license plate recognition module 20. The entrance gate end 16 is connected to the vehicle management end 21. The exit end 3 is connected to the exit gate end 22, which includes a test weighing module 23, an exit information registration module 24, an exit recognition module 25, and an exit gate module 26. The exit gate end 22 is connected to the work order data callback end 27. The silo loading platform 4 is connected to the setting center 28, the interlocking end 29, and the automatic operation docking end 30. The personnel rest end 15, the vehicle management end 21, and the work order data callback end 27 are all connected to the silo loading platform 4.

[0054] The manual input terminal 1 is used to input various information about the truck and driver. The entrance monitoring module 17 is used to monitor the vehicle based on various information. The entrance gate module 18 is used to control the gate to open based on the monitoring data. The weighing module 19 is used to detect the weight of the vehicle. The license plate recognition module 20 is used to select whether to allow passage based on whether the vehicle license plate matches the input information.

[0055] The vehicle management terminal 21 is used to park eligible vehicles and control the number of vehicles entering the site. Vehicles are not allowed to enter the site if the limit is exceeded. The personnel rest terminal 15 is a place for drivers to rest.

[0056] The vehicle queuing and calling unit 10 is used to automatically sort vehicles according to the order of entry and call the number to remind the driver when it is their turn. The vehicle information display unit 11 is used to display the sorting information on the display screen. The mobile APP sending unit 12 is used to send the number to the driver's mobile phone.

[0057] The hopper loading platform 4 is used to load goods onto the truck bed of a vehicle using automated technology;

[0058] The weighing module 23 is used to weigh the vehicle loaded with goods, the exit information registration module 24 is used to register the goods in the truck bed and issue an invoice, the exit identification module 25 is used to identify the goods based on the entered information, and the exit gate module 26 selects whether to allow passage based on the identified information.

[0059] In this embodiment, the intelligent vehicle loading system uses automatic license plate recognition as a means of vehicle identification. Combined with the local sales business logic, it automatically controls the equipment around the weighbridge, guides vehicles on and off the weighbridge, and guides vehicles under the warehouse. Based on vehicle information, it performs loading operations according to the prescribed coal quality and quantity. The loading process includes a series of intelligent operations such as registering vehicle dispatch information, preventing weighing fraud, unmanned automatic loading, printing invoices, and verifying documents before leaving the factory. It also achieves effective connection with the sales system and enterprise information management system. By increasing the application of digitalization and intelligence, it improves work efficiency, reduces manual intervention, and lowers labor costs. The interlock terminal 29 is used to prevent loading if the vehicle entering the loading point does not match the loading information entered in the system. The automatic operation docking terminal 30 is used to communicate and exchange data and issue instructions with the sales and transportation system via the MQTT protocol, and also communicates and exchanges data and issues instructions with the PLC control system via the Modbus protocol. It can also add automatic / manual functions. The automatic mode is automatically controlled by the system, and the manual mode is manually controlled by local buttons.

[0060] Furthermore, the entrance monitoring module 17 includes a first camera unit 31, a second camera unit 32, a third camera unit 33, and a fourth camera unit 34, all of which are connected to the entrance end 2.

[0061] The first camera unit 31, the second camera unit 32, the third camera unit 33, and the fourth camera unit 34 are used to observe various information about the vehicle.

[0062] In this embodiment, the first camera unit 31, the second camera unit 32, the third camera unit 33, and the fourth camera unit 34 are used to observe various information about the vehicle.

[0063] Furthermore, the entrance barrier module 18 includes an entrance barrier main unit 35 and an entrance barrier arm unit 36, both of which are connected to the entrance end 2;

[0064] The entrance barrier gate host unit 35 is used to control whether the entrance barrier gate arm unit 36 ​​raises the arm.

[0065] In this embodiment, the entrance barrier gate host unit 35 is used to control whether the entrance barrier gate arm unit 36 ​​raises the arm.

[0066] Furthermore, the weighing module 19 includes a first weighbridge unit 37, a weighing comparison unit 38, and a first LED display unit 39, all of which are connected to the inlet end 2.

[0067] The first weighbridge unit 37 is used to weigh the vehicle, the weighing comparison unit 38 is used to compare the weighing data with the pre-stored data, and when the tare weight data deviates significantly from the pre-stored data, loading is not allowed and the administrator is notified to check, and the first LED display unit 39 is used to display the weighing data through the LED display screen.

[0068] In this embodiment, the first weighbridge unit 37 is used to weigh the vehicle, the weighing comparison unit 38 is used to compare the weighing data with the pre-stored data, and when the tare weight data deviates significantly from the pre-stored data, loading is not allowed and the administrator is notified to check, and the first LED display unit 39 is used to display the weighing data through the LED display screen.

[0069] Furthermore, the license plate recognition module 20 includes a high-definition camera unit 40 and an image recognition unit 41, both of which are connected to the entry end 2;

[0070] The high-definition camera unit 40 and the image recognition unit 41 are used to capture images of license plates and then extract text from the images. The key steps of license plate image recognition mainly include on-site image capture, grayscale processing, vehicle number positioning, character extraction, number comparison, obtaining results, comparing and reading the identified vehicle information with the relevant information in the background database and the information previously transmitted into the sales database.

[0071] In this embodiment, the high-definition camera unit 40 and the image recognition unit 41 are used to capture images of license plates, and then extract text from the images. The key steps of license plate image recognition mainly include on-site image capture, grayscale processing, vehicle number positioning, character extraction, number comparison, obtaining results, and comparing and reading the identified vehicle information with the relevant information in the background database and the information previously transmitted into the sales database.

[0072] Furthermore, the hopper loading platform 4 includes an information identification unit 42, a laser detection unit 43, an artificial intelligence unit 44, a light curtain scanning unit 45, an automatic feeding unit 46, an ultrasonic radar unit 47, and a radar material level monitoring unit 48;

[0073] The information recognition unit 42 is used to identify license plate number and vehicle information, and the laser detection unit 43 is used to realize real-time modeling of loading site through laser monitoring. Then, the artificial intelligence unit 44 analyzes the data and automatically distinguishes the boundaries of trucks transporting bulk materials and the loading status of goods.

[0074] The light curtain scanning unit 45 is used to scan vehicle position information, determine parking position, sideboard height, front sideboard position, and chute position. When the position is appropriate, the system starts loading; when the position is inappropriate, the system automatically prompts the driver to move forward or backward to adjust the orientation.

[0075] The automatic feeding unit 46 is used to automatically feed material into the truck bed of a vehicle in a suitable position via a metering belt feeder. The ultrasonic radar unit 47 judges the loading level in real time, and the system automatically prompts the vehicle to move forward slowly. At the same time, the radar judges the position of the rear of the vehicle in real time. The radar material level monitoring unit 48 is used to compare the feedback data of the metering belt feeder with the system preload in real time. When the preload set value is reached, the system automatically closes the gate.

[0076] In this embodiment, the information recognition unit 42 is used to identify license plate numbers and vehicle information; the laser detection unit 43 is used to achieve real-time modeling of the loading site through laser monitoring; and the artificial intelligence unit 44 analyzes the data to automatically identify the boundaries of trucks transporting bulk materials and the loading status of the goods. The light curtain scanning unit 45 is used to scan vehicle position information, determine parking position, sideboard height, front sideboard position, and chute position. When the position is appropriate, the system starts loading; when the position is inappropriate, the system automatically prompts the driver to move forward or backward to adjust the orientation. The automatic feeding unit 46 is used to automatically feed materials into the truck bed of vehicles in appropriate positions through a metering belt feeder. The ultrasonic radar unit 47 judges the loading material level in real time, and the system automatically prompts the vehicle to move forward slowly. At the same time, the radar judges the rear position of the truck in real time. The radar material level monitoring unit 48 is used to compare the feedback data from the metering belt feeder with the system preload in real time. When the preload set value is reached, the system automatically closes the gate.

[0077] Furthermore, the weighing module 23 includes a second weighbridge unit 49 and a second LED display unit 50, both of which are connected to the outlet end 3;

[0078] The second weighbridge unit 49 is used to weigh the loaded vehicle and display the weighing data through the second LED display unit 50.

[0079] In this embodiment, the second weighbridge unit 49 is used to weigh the vehicle carrying the material, and the weighing data is displayed by the second LED display unit 50.

[0080] Furthermore, the exit identification module 25 includes a cargo information verification unit 51 and a vehicle information identification unit 52, both of which are connected to the exit end 3.

[0081] The cargo information verification unit 51 is used to verify the weight and type of the cargo;

[0082] The vehicle information identification unit 52 is used to identify the information of vehicles leaving the factory.

[0083] In this embodiment, the cargo information verification unit 51 is used to verify the weight and type of the cargo; the vehicle information identification unit 52 is used to identify the information of the vehicles leaving the site.

[0084] Furthermore, the exit barrier module 26 includes an exit barrier main unit 53 and an exit barrier arm unit 54, both of which are connected to the exit end 3.

[0085] The exit gate main unit 53 is used to control whether the exit gate arm unit 54 raises the arm.

[0086] In this embodiment, the exit gate host unit 53 is used to control whether the exit gate arm unit 54 raises the arm.

[0087] Furthermore, the setting center 28 includes a login unit 55, a camera reference unit 56, a company management unit 57, a department management unit 58, a permission management unit 59, a user management unit 60, and a RAM user management unit 61. The login unit 55, the camera reference unit 56, the company management unit 57, the department management unit 58, the permission management unit 59, the user management unit 60, and the RAM user management unit 61 are all connected to the silo loading platform 4.

[0088] The login unit 55 is used for authentication forms, mobile phone verification codes, and RAM user login, and will give prompts for successful or failed login. At the same time, it will perform password decryption and comparison with the database based on the current subject.

[0089] The camera reference unit 56 is used to provide an interface for running the camera-input file to perform functional logic based on the current camera IP and serial number;

[0090] The company management unit 57 is used to automatically generate user administrator accounts. The username is generated by default with the company's first letter capitalized, and administrator role information is added by default for subsequent addition of other members or operations.

[0091] The permission management unit 59 is used to manage module name, parent menu, permission code, permission code, status, and main menu name;

[0092] The user management unit 60 is used to manage username, password, name, mobile phone number, employee number, email address, whether information is pushed, age, gender, status, department, mobile phone number, and verification code;

[0093] The RAM user management unit 61 is used to create sub-accounts of the current account, and the user can choose to inherit the permissions of the currently logged-in user or use it for third-party applications to interface with this system.

[0094] In this embodiment, the login unit 55 is used for authentication forms, mobile phone verification codes, and RAM user login, and provides prompts for successful or failed login. It also performs password decryption and database comparison based on the current user. The camera reference unit 56 provides an interface for running file input from the camera based on the current camera IP and serial number, performing functional logic. The company management unit 57 automatically generates user administrator accounts, with the username defaulting to the company's first letter capitalized, and defaults to adding administrator role information for subsequent addition of other members or operations. The permission management unit 59 manages module names, parent menus, permission codes, status, and main menu names. The user management unit 60 manages usernames, passwords, names, mobile phone numbers, employee IDs, email addresses, whether push notifications are received, age, gender, status, department, mobile phone number, and verification code. The RAM user management unit 61 creates sub-accounts for the current account, allowing users to choose to inherit the current user's permissions or for third-party applications to integrate with this system.

[0095] The above description discloses only one preferred embodiment of the present invention, and should not be construed as limiting the scope of the present invention. Those skilled in the art will understand that all or part of the processes of the above embodiments can be implemented, and equivalent changes made in accordance with the claims of the present invention are still within the scope of the invention.

Claims

1. An intelligent unattended rapid loading system, characterized in that, This includes a manual data entry terminal, an entrance terminal, an exit terminal, and a silo loading platform. The manual data entry terminal is connected to a customer information work order data terminal, which is connected to an inbound temporary data generation terminal. The inbound temporary data generation terminal is connected to a basic data temporary cache terminal, which is connected to an Alibaba Cloud ECS server. The Alibaba Cloud ECS server is connected to a local server, which includes a vehicle queuing and calling unit, a vehicle information display unit, a mobile APP sending unit, a resource import unit, and a service operation unit. The local server is also connected to a personnel rest terminal. The entrance end is connected to an entrance barrier gate, which includes an entrance monitoring module, an entrance barrier gate module, a weighing module, and a license plate recognition module. The entrance barrier gate is also connected to a vehicle management terminal. The exit end is connected to an exit barrier gate, which includes a test weighing module, an exit information registration module, an exit recognition module, and an exit barrier gate module. The exit barrier gate is also connected to a work order data callback terminal. The silo loading platform is connected to a setting center, an interlocking terminal, and an automatic operation docking terminal. The personnel rest terminal, the vehicle management terminal, and the work order data callback terminal are all connected to the silo loading platform. The manual input terminal is used to input various information about trucks and drivers. The entrance monitoring module is used to monitor vehicles based on various information. The entrance gate module is used to control the gate to open based on monitoring data. The weighing module is used to detect the weight of vehicles. The license plate recognition module is used to select whether to allow passage based on whether the vehicle license plate matches the input information. The vehicle management terminal is used to park eligible vehicles and control the number of vehicles entering the site. Vehicles are not allowed to enter the site if the limit is exceeded. The personnel rest terminal is a place for drivers to rest. The vehicle queuing and calling unit is used to automatically sort vehicles according to the order of entry and call the number to remind the driver when it is their turn. The vehicle information display unit is used to display the sorting information on the display screen. The mobile APP sending unit is used to send the number to the driver's mobile phone. The hopper loading platform is used to load goods onto the truck bed of a vehicle using automated technology; The weighing module is used to weigh the vehicle loaded with goods, the exit information registration module is used to register the goods in the truck bed and issue an invoice, the exit identification module is used to identify the goods based on the entered information, and the exit gate module selects whether to allow passage based on the identified information. The weighing module includes a first weighbridge unit, a weighing comparison unit, and a first LED display unit, all of which are connected to the inlet end. The first weighbridge unit is used to weigh the vehicle. The weighing comparison unit is used to compare the weighing data with the pre-stored data. When the tare weight data deviates significantly from the pre-stored data, loading is not allowed and the administrator is notified to check. The first LED display unit is used to display the weighing data through the LED display screen. The license plate recognition module includes a high-definition camera unit and an image recognition unit, both of which are connected to the entry point. The high-definition camera unit and the image recognition unit are used to capture images of license plates and then extract text from the images. The key steps of license plate image recognition mainly include on-site image capture, grayscale processing, vehicle number positioning, character extraction, number comparison, obtaining results, and comparing and reading the identified vehicle information with the relevant information in the background database and the information previously transmitted into the sales database. The silo loading platform includes an information identification unit, a laser detection unit, an artificial intelligence unit, a light curtain scanning unit, an automatic feeding unit, an ultrasonic radar unit, and a radar level monitoring unit. The information recognition unit is used to identify license plate numbers and vehicle information. The laser detection unit is used to realize real-time modeling of the loading site through laser monitoring. Then, the artificial intelligence unit analyzes the data to automatically distinguish the boundaries of trucks transporting bulk materials and the loading status of goods. The light curtain scanning unit is used to scan vehicle position information, determine parking position, sideboard height, front sideboard position, and chute position. When the position is appropriate, the system starts loading; when the position is inappropriate, the system automatically prompts the driver to move forward or backward to adjust the orientation. The automatic feeding unit is used to automatically feed material into the truck bed of a vehicle in a suitable position via a metering belt feeder. The ultrasonic radar unit judges the loading level in real time, and the system automatically prompts the vehicle to move forward slowly. At the same time, the radar judges the position of the rear of the vehicle in real time. The radar material level monitoring unit is used to compare the feedback data from the metering belt feeder with the system's preload in real time. When the preload setting value is reached, the system automatically closes the gate.

2. The intelligent unattended rapid loading system as described in claim 1, characterized in that, The entrance monitoring module includes a first camera unit, a second camera unit, a third camera unit, and a fourth camera unit, all of which are connected to the entrance. The first camera unit, the second camera unit, the third camera unit, and the fourth camera unit are used to observe various information about the vehicle.

3. The intelligent unattended rapid loading system as described in claim 2, characterized in that, The entrance barrier module includes an entrance barrier main unit and an entrance barrier arm unit, both of which are connected to the entrance end; The entrance barrier gate host unit is used to control whether the entrance barrier gate arm unit raises the arm.

4. The intelligent unattended rapid loading system as described in claim 3, characterized in that, The weighing module includes a second weighbridge unit and a second LED display unit, both of which are connected to the outlet end. The second weighbridge unit is used to weigh the loaded vehicles and displays the weighing data through the second LED display unit.

5. The intelligent unattended rapid loading system as described in claim 4, characterized in that, The exit identification module includes a cargo information verification unit and a vehicle information identification unit, both of which are connected to the exit end. The cargo information verification unit is used to verify the weight and type of the cargo; The vehicle information recognition unit is used to identify the information of vehicles leaving the factory.

6. The intelligent unattended rapid loading system as described in claim 5, characterized in that, The exit barrier module includes an exit barrier main unit and an exit barrier arm unit, both of which are connected to the exit end. The exit gate control unit is used to control whether the exit gate arm unit raises its arm.

7. The intelligent unattended rapid loading system as described in claim 6, characterized in that, The settings center includes a login unit, a camera reference unit, a company management unit, a department management unit, a permission management unit, a user management unit, and a RAM user management unit. The login unit, the camera reference unit, the company management unit, the department management unit, the permission management unit, the user management unit, and the RAM user management unit are all connected to the silo loading platform. The login unit is used for authentication forms, mobile phone verification codes, and RAM user logins, and will give prompts for successful or failed logins. At the same time, it will decrypt and compare the password with the database based on the current subject. The camera reference unit is used to provide an interface for running the camera-input file to perform functional logic based on the current camera IP and serial number; The company management unit is used to automatically generate user administrator accounts. The username is generated by default with the company's first letter capitalized, and administrator role information is added by default for subsequent addition of other members or operations. The permission management unit is used to manage module name, parent menu, permission code, status, and main menu name; The user management unit is used to manage usernames, passwords, names, mobile phone numbers, employee IDs, email addresses, whether information is pushed to users, age, gender, status, department, and verification codes. The RAM user management unit is used to create sub-accounts of the current account, and users can choose to inherit the permissions of the currently logged-in user or use it for third-party applications to integrate with this system.

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