Intelligent checking system for fresh agricultural product transport vehicles on expressway

Abstract

The invention provides an intelligent checking system for a highway fresh agricultural product transport vehicle, and relates to the field of vehicle-mounted agricultural product detection. The system comprises a vehicle identification module, a comprehensive detection module, an intelligent analysis module and an abnormal alarm, the vehicle identification module is divided into a vehicle identification camera and an RFID identification camera, vehicle information is identified through an RFID tag, a video monitoring camera records the state of the vehicle in real time, and the abnormal alarm is sent to the comprehensive detection module. The information is transmitted to the data processing module for subsequent analysis and storage. According to the intelligent inspection system, advanced machine learning technology is utilized to carry out deep analysis so as to identify potential risk modes and transportation trends, and the comprehensive assessment capability not only can provide accurate safety and compliance assessment for transportation managers, but also can provide scientific support for decision making. And through a data-driven management mode, the efficiency and safety of transportation operation are further improved.

Description

Technical Field

[0001] The invention relates to the field of vehicle-mounted agricultural product detection, and in particular to an intelligent inspection system for vehicles transporting fresh agricultural products on highways. Background Art

[0002] Fresh agricultural product transportation vehicles are specially designed and modified to ensure the protection of product quality and safety during transportation. Highway fresh agricultural product transportation refers to the rapid transportation of fresh agricultural products on the highway network. The highway network can often provide shorter driving time, reduce delays in transportation, and ensure that agricultural products reach the market quickly and maintain their freshness.

[0003] However, traditional intelligent inspection systems face multiple shortcomings in the transportation management of fresh agricultural products. First, the inspection process mainly relies on manual operation, resulting in inefficiency and human errors, posing hidden dangers to transportation safety; second, insufficient vehicle inspections and lack of comprehensive inspections of vehicle status may lead to unqualified vehicles entering the transportation chain, increasing risks; finally, in terms of data processing and analysis capabilities, traditional systems are generally weak and unable to intelligently identify potential risks and transportation trends, making it difficult for managers to make scientific decisions, thereby limiting overall operational efficiency and product quality assurance.

[0004] Therefore, those skilled in the art provide an intelligent inspection system for vehicles transporting fresh agricultural products on highways to solve the problems raised in the above-mentioned background technology. Summary of the invention

[0005] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides an intelligent inspection system for vehicles transporting fresh agricultural products on highways, which solves the problems of low detection efficiency, low detection range and poor data processing capability.

[0006] (II) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: An intelligent inspection system for fresh agricultural products transport vehicles on highways, including a vehicle identification module, a comprehensive detection module, an intelligent analysis module and an abnormal alarm. The vehicle identification module is divided into a vehicle identification camera and an RFID identification camera. When a vehicle enters or exits, the vehicle information is identified by the RFID tag, and the video surveillance camera records the status of the vehicle in real time. This information is transmitted to the data processing module for subsequent analysis and storage; The comprehensive detection module is divided into a weighing device, a temperature detection device and an on-board sensor. The on-board sensor is installed on the vehicle to detect the temperature and humidity of the agricultural products in the vehicle, the vehicle load is detected by the weight sensor, and the vehicle appearance is checked for safety using the image recognition system. These data are fed back to the data processing module at the same time; The intelligent analysis module is divided into a data processing module and a database. By analyzing the data provided by the data processing module, the machine learning algorithm is used to identify potential risks, transportation trends and vehicle compliance, and generate reports to assist managers in making decisions. The data processing module is used to receive data from the vehicle identification module and sensors, organize and store them in the database, and perform preliminary analysis on the information to ensure the accuracy and completeness of the data; The abnormal alarm is based on the accumulated monitoring data. If an abnormal situation occurs, the system will automatically activate the alarm and notify relevant personnel in real time to handle it and respond to potential transportation risks in a timely manner.

[0007] Through the above technical solution, compared with the traditional intelligent inspection system, the intelligent inspection system realizes the rapid and automatic identification and processing of transport vehicles and cargo information by adopting RFID identification technology and intelligent data processing modules. This design significantly improves the inspection efficiency and reduces the dependence on manual inspection, thereby reducing the risk of human error. At the same time, the intelligent management method makes the transportation process smoother, which can significantly improve the overall operational efficiency and response speed, and establish a solid technical foundation for the safe transportation of fresh agricultural products, thereby improving the automation and intelligence of the system.

[0008] Further, the vehicle identification module includes an RFID reader and a video surveillance camera; Through the above technical solution, the RFID reader and the video surveillance camera collect and photograph the RFID tag pre-installed on the vehicle, the vehicle license plate and the front of the vehicle, thereby collecting various information about the vehicle more quickly.

[0009] Furthermore, the weighing device includes a weight sensor and an image recognition system, and the temperature detection device and the vehicle-mounted sensor include a temperature and humidity sensor and an infrared sensor; Through the above technical solution, by setting up temperature and humidity sensors, weight sensors, infrared sensors and image recognition systems, the temperature and humidity in the car compartment are detected, the vehicle weight is detected, and the appearance of the vehicle is collected, so that the subsequent intelligent analysis module can compare and analyze the situation of agricultural products in the vehicle.

[0010] Furthermore, the intelligent analysis module includes machine learning algorithms and data analysis software; Through the above technical solutions, the learning algorithm and data analysis software analyze and learn from the database and real-time data, thereby improving the accuracy and efficiency of the system in vehicle detection.

[0011] Further, the abnormal alarm includes an alarm system and a response controller; Through the above technical solution, when the alarm system detects abnormal conditions in the data of the transport vehicle, such as excessive temperature and humidity or non-compliance of the vehicle, the alarm system will immediately sound an alarm and notify relevant personnel to take prompt measures to conduct manual inspections and investigations. At the same time, the response controller can automatically execute corresponding processing steps according to preset rules, such as suspending transportation, locking the inspection channel or reminding the manager, thereby effectively reducing potential risks.

[0012] Further, the database includes data collection summary and user feedback; Through the above technical solution, users provide feedback through the interface, and the data is updated to the database in real time. The intelligent analysis module processes these feedbacks to achieve dynamic optimization and adjustment of the system, and updates the various comparative data in the database through data collection and summary.

[0013] (III) Beneficial effects The present invention provides an intelligent inspection system for fresh agricultural product transport vehicles on highways. It has the following beneficial effects: 1. The present invention provides an intelligent inspection system for vehicles transporting fresh agricultural products on highways. Compared with traditional intelligent inspection systems, the intelligent inspection system realizes rapid and automatic identification and processing of transport vehicles and cargo information by adopting RFID identification technology and intelligent data processing modules. Such a design significantly improves the inspection efficiency and reduces the reliance on manual inspection, thereby reducing the risk of human error. At the same time, the intelligent management method makes the transportation process smoother, which can significantly improve the overall operational efficiency and response speed, and establishes a solid technical foundation for the safe transportation of fresh agricultural products, thereby improving the automation and intelligence of the system.

[0014] 2. The present invention provides an intelligent inspection system for vehicles transporting fresh agricultural products on highways. Compared with traditional intelligent inspection systems, the intelligent inspection system adopts on-board sensors, temperature detection equipment and weighing equipment for vehicle detection. Through the vehicle identification module, it can more comprehensively analyze the status and compliance of the transport vehicles. By real-time monitoring of key indicators such as the vehicle's appearance, weight, temperature and humidity, the system can accurately determine whether the vehicle meets the transportation requirements. This high-precision detection method ensures the safety of transport vehicles, reduces the entry of unqualified vehicles, and improves the ability to monitor the overall status of transport vehicles.

[0015] 3. The present invention provides an intelligent inspection system for vehicles transporting fresh agricultural products on highways. Compared with traditional intelligent inspection systems, this intelligent inspection system, with the help of a data analysis module, can comprehensively integrate historical and real-time transportation data, and use advanced machine learning technology for in-depth analysis to identify potential risk patterns and transportation trends. This comprehensive assessment capability can not only provide transportation managers with accurate safety and compliance assessments, but also provide scientific support for decision-making. Through data-driven management methods, the efficiency and safety of transportation operations are further improved, and the intelligent development of management is promoted. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a system flow chart of the present invention; Figure 2 It is a structural block diagram of a vehicle identification module of the present invention; Figure 3 It is a structural block diagram of the comprehensive detection module of the present invention; Figure 4 This is a structural block diagram of the intelligent analysis module of the present invention. DETAILED DESCRIPTION

[0017] 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.

[0018] Example: An intelligent inspection system for fresh agricultural products transport vehicles on highways, including a vehicle identification module, a comprehensive detection module, an intelligent analysis module and an abnormal alarm. The vehicle identification module is divided into a vehicle identification camera and an RFID identification camera. When a vehicle enters or exits, the vehicle information is identified by the RFID tag, and the video surveillance camera records the vehicle status in real time. This information is transmitted to the data processing module for subsequent analysis and storage; The comprehensive detection module is divided into weighing equipment, temperature detection equipment and vehicle-mounted sensors. The vehicle-mounted sensors are installed on the vehicle to detect the temperature and humidity of the agricultural products in the vehicle, the vehicle load is detected by the weight sensor, and the vehicle appearance is checked for safety using the image recognition system. These data are also fed back to the data processing module; The intelligent analysis module is divided into a data processing module and a database. By analyzing the data provided by the data processing module, the machine learning algorithm is used to identify potential risks, transportation trends and vehicle compliance, and generate reports to assist managers in making decisions. The data processing module is used to receive data from the vehicle identification module and sensors, organize and store them in the database, and perform preliminary analysis of the information to ensure the accuracy and completeness of the data. The abnormal alarm is based on the accumulated monitoring data. If an abnormal situation occurs, the system automatically activates the alarm and notifies relevant personnel in real time to handle it, so as to respond to potential transportation risks in a timely manner.

[0019] Compared with traditional intelligent inspection systems, this intelligent inspection system uses on-board sensors, temperature detection equipment and weighing equipment for vehicle detection. Through the vehicle identification module, it can more comprehensively analyze the status and compliance of the transport vehicle. By real-time monitoring of key indicators such as the vehicle's appearance, weight, temperature and humidity, the system can accurately determine whether the vehicle meets the transportation requirements. This high-precision detection method ensures the safety of transport vehicles, reduces the entry of unqualified vehicles, and improves the ability to monitor the overall status of transport vehicles.

[0020] The vehicle identification module includes an RFID reader and a video surveillance camera. The RFID reader and the video surveillance camera collect and shoot the RFID tag pre-installed on the vehicle, the license plate and the front of the vehicle, so as to quickly collect various information about the vehicle. The weighing equipment includes a weight sensor and an image recognition system. The temperature detection equipment and the vehicle-mounted sensor include a temperature and humidity sensor and an infrared sensor. By setting a temperature and humidity sensor, a weight sensor, an infrared sensor and an image recognition system, the temperature and humidity in the car are detected, the weight of the vehicle is detected, and the appearance of the vehicle is collected so that the subsequent intelligent analysis module can compare and analyze the situation of the agricultural products in the vehicle. The intelligent analysis module includes a machine learning algorithm and data analysis software. The learning algorithm and data analysis software analyze the database and real-time data. The system conducts analysis and learning to improve the accuracy and efficiency of vehicle detection. Abnormal alarms include an alarm system and a response controller. When the alarm system detects abnormal conditions in the data of the transport vehicle, such as excessive temperature and humidity or non-compliance with the regulations, the alarm system will immediately sound an alarm to notify relevant personnel to take prompt measures and conduct manual inspections. At the same time, the response controller can automatically execute corresponding processing steps according to preset rules, such as suspending transportation, locking the detection channel or reminding the manager, thereby effectively reducing potential risks. The database includes data collection summaries and user feedback. Users feedback information through the interface, and the data is updated to the database in real time. The intelligent analysis module processes these feedbacks to achieve dynamic optimization and adjustment of the system, and updates the various comparative data in the database through data collection summaries.

[0021] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent inspection system for fresh agricultural product transport vehicles on highways, comprising a vehicle identification module, a comprehensive detection module, an intelligent analysis module and an abnormal alarm, characterized in that: The vehicle identification module is divided into a vehicle identification camera and an RFID identification camera. When a vehicle enters or exits, the vehicle information is identified through the RFID tag, and the video surveillance camera records the vehicle status in real time. This information is transmitted to the data processing module for subsequent analysis and storage; The comprehensive detection module is divided into a weighing device, a temperature detection device and an on-board sensor. The on-board sensor is installed on the vehicle to detect the temperature and humidity of the agricultural products in the vehicle, the vehicle load is detected by the weight sensor, and the vehicle appearance is checked for safety using the image recognition system. These data are fed back to the data processing module at the same time; The intelligent analysis module is divided into a data processing module and a database. By analyzing the data provided by the data processing module, the machine learning algorithm is used to identify potential risks, transportation trends and vehicle compliance, and generate reports to assist managers in making decisions. The data processing module is used to receive data from the vehicle identification module and sensors, organize and store them in the database, and perform preliminary analysis on the information to ensure the accuracy and completeness of the data; The abnormal alarm is based on the accumulated monitoring data. If an abnormal situation occurs, the system will automatically activate the alarm and notify relevant personnel in real time to handle it and respond to potential transportation risks in a timely manner.

2. The intelligent inspection system for fresh agricultural product transport vehicles on highways according to claim 1 is characterized by: The vehicle identification module includes an RFID reader and a video surveillance camera.

3. The intelligent inspection system for fresh agricultural product transport vehicles on highways according to claim 1 is characterized by: The weighing device includes a weight sensor and an image recognition system, and the temperature detection device and the vehicle-mounted sensor include a temperature and humidity sensor and an infrared sensor.

4. The intelligent inspection system for fresh agricultural product transport vehicles on highways according to claim 1 is characterized by: The intelligent analysis module includes machine learning algorithms and data analysis software.

5. The intelligent inspection system for fresh agricultural product transport vehicles on highways according to claim 1 is characterized by: The abnormal alarm includes an alarm system and a response controller.

6. The intelligent inspection system for fresh agricultural product transport vehicles on highways according to claim 1 is characterized by: The database includes data collection summaries and user feedback.

Images