Automatic identification system for truck falling into barge

Abstract

The utility model designs an automatic identification system for a falling truck, which comprises an Ethernet module, a communication module, a voice audible and visual alarm, an RFID card reader, a hardware router and a server, and is characterized in that the Ethernet module is connected to the RFID card reader; the communication module is connected with the server through the switch; the voice audible and visual alarm is wirelessly connected to the hardware router; the RFID card reader is in wireless connection with the hardware router; and the hardware router is connected with the server. According to the RFID card reader, wireless radio frequency identification is achieved, a target object is automatically identified through a radio frequency identification signal, related data are obtained, manual intervention is not needed, a high-speed moving object can be identified, multiple RFID tags can be identified at the same time, operation is rapid and convenient, meanwhile, the Ethernet module is adopted, double-end isolation protection is utilized, and the safety is high. Damage caused by noise and surge is avoided.

Description

Technical Field

[0001] The utility model belongs to the field of logistics and transportation, and in particular relates to an automatic identification system for a drop truck. Background Art

[0002] The automatic identification system for drop trucks is an advanced technology that can help the logistics and transportation industry improve efficiency, reduce manual errors, and improve the working environment. The background technology of this system is mainly based on computer vision and deep learning. In the field of computer vision, the automatic identification system for drop trucks mainly relies on image processing and pattern recognition technology. First, it is necessary to use cameras and image sensors to shoot and scan the drop trucks to obtain high-quality image data. Then, the image data is pre-processed, feature extracted, and pattern recognized through image processing technology to achieve automatic identification and classification.

[0003] However, the system realizes learning and feature extraction of image data, and more accurately recognizes and classifies, which is a difficulty of the recognition system. Therefore, Chinese patent CN115817462A discloses an automatic vehicle recognition system, including an automatic recognition module, a VCU, and an industrial computer, wherein the automatic recognition module is used to recognize and detect traffic lights, obstacles, pedestrians in front of the road, and judge whether the road is a straight road or a curve; the VCU is connected to the automatic recognition module, and the automatic recognition module is controlled by the VCU; the industrial computer is connected to the VCU, and the VCU is controlled by the industrial computer, and the industrial computer is also connected to the braking system, throttle system and steering system in the car. However, it cannot effectively process image data and identify various types of drop trucks. In addition, the automatic recognition system for drop trucks also involves other technical fields, such as sensor technology, robotic arm control technology, Internet of Things technology and communication technology. These technologies provide support and optimization for the implementation of the system, making the system more reliable and efficient.

[0004] The background technology of the automatic identification system for barge trucks is multifaceted. It needs to combine computer vision, system hardware and various related technologies to achieve it, and there may be reliability issues with the automatic identification system for barge trucks. For example, under complex environmental conditions (such as rainy days, foggy days or at night), the recognition accuracy of the system may be reduced. In addition, when the automatic identification system for barge trucks needs to process and store a large amount of data, this may affect the performance and stability of the system. If the amount of data is too large, the processing speed of the system may slow down, and may even cause the system to crash. The security and privacy of the data is also an issue that needs to be considered. Therefore, the existence of this problem reduces the efficiency and accuracy of the logistics and transportation industry. Utility Model Content

[0005] In order to solve the above problems, this application designs an automatic identification system for drop trucks, thereby solving the problems of the operating vehicle being unable to be quickly identified and alarming for non-designated unloading areas after weighing and arriving at the unloading area, and realizing the characteristics of real-time monitoring of equipment status and rapid weighing operations.

[0006] In order to achieve the above-mentioned effect, the utility model designs an automatic identification system for drop trucks.

[0007] An automatic identification system for a drop truck, characterized in that it includes an Ethernet module, a communication module, a voice and light alarm, an RFID card reader, a hardware router and a server;

[0008] The Ethernet module is connected to the RFID card reader;

[0009] The communication module is connected to the server via a switch;

[0010] The voice, sound and light alarm is connected to the hardware router via wireless;

[0011] The RFID card reader is connected to the hardware router via wireless;

[0012] The hardware router is connected to the server.

[0013] The Ethernet module includes an address filter for filtering the range of IP addresses that must deny or accept connections.

[0014] Preferably, the voice sound and light alarm includes a door magnetic switch, and when powered on, a switch signal is sent through the door magnetic switch to activate the sound and light alarm.

[0015] Preferably, the operation steps of the automatic identification system for drop trucks are:

[0016] Step 1: The dispatch director sends the instruction to the production manager of the warehousing business department;

[0017] Step 2: After the metering staff and the tally staff at the unloading point receive the instructions, the metering staff sends the vehicle of the operation line to the vehicle identification system for unloading and unloading to scan the vehicle. The tally staff at the cargo point warehouse reports to the production manager and handles the vehicles not at this site in a timely manner;

[0018] Step 3: The vehicle identification system at the unloading point determines whether the vehicle is a vehicle for this site. If so, unloading will proceed normally. If not, the on-site vehicle identification system will sound an alarm. At the same time, the meter operator and the tally clerk will check with each other. The metering software will pop up a related alarm dialog box, form an alarm record, and promptly handle vehicles that are not from this site.

[0019] The advantages and effects of this application are as follows:

[0020] 1. This application can provide support for real-time monitoring of the location and speed of the drop truck, so as to accurately grasp the transportation status of the goods.

[0021] 2. This application uses RFID card readers to achieve automatic identification, and automatically identifies the drop truck through image recognition technology without manual intervention. This greatly improves the efficiency and accuracy of identification.

[0022] 3. This application can perform data processing and analysis. The automatic identification system for drop trucks can collect and process a large amount of transportation data through the Ethernet module. Through data analysis, problems and trends in the transportation process can be discovered, providing data support for decision-making.

[0023] 4. This application uses an alarm device to effectively predict possible problems by analyzing data, issue warnings in a timely manner, and take measures in advance to avoid errors in weighing of drop trucks.

[0024] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application so that it can be implemented according to the contents of the specification, and to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the following is a detailed description of the preferred embodiments of the present application in conjunction with the accompanying drawings. According to the detailed description of the specific embodiments of the present application in conjunction with the accompanying drawings below, those skilled in the art will be more aware of the above and other purposes, advantages and features of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art description are briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can also be obtained based on these drawings without creative work. In all drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, each element or part is not necessarily drawn according to the actual scale.

[0026] Figure 1 A network topology diagram of an automatic identification system for drop trucks provided in this application;

[0027] Figure 2 A flowchart of the operation steps of an automatic identification system for drop trucks provided in this application;

[0028] Figure 3 A flow chart of voice, sound and light alarms for an automatic identification system for a drop truck provided in this application;

[0029] Figure numerals: 1. Ethernet module; 2. Communication module; 3. Voice, sound and light alarm; 4. RFID card reader; 5. Hardware router; 6. Server. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solution and advantages of the embodiment of the present application clearer, the technical solution in the embodiment of the present application will be clearly and completely described below in conjunction with the drawings in the embodiment of the present application. Obviously, the described embodiment is a part of the embodiment of the present application, not all of the embodiments. In the following description, specific details such as specific configurations and components are provided only to help fully understand the embodiments of the present application. Therefore, it should be clear to those skilled in the art that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. In addition, for the sake of clarity and brevity, the description of known functions and structures is omitted in the embodiments. It should be understood that "one embodiment" or "this embodiment" mentioned throughout the specification means that specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "one embodiment" or "this embodiment" appearing throughout the specification may not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner.

[0031] In addition, the present application may repeat reference numbers and / or letters in different examples. This repetition is for the purpose of simplification and clarity, and does not in itself indicate the relationship between the various embodiments and / or settings discussed. The term "and / or" herein is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may indicate: A exists alone, B exists alone, and A and B exist at the same time. The term " / and" herein describes another type of association relationship between associated objects, indicating that two relationships may exist. For example, A / and B may indicate: A exists alone, and A and B exist alone. In addition, the character " / " herein generally indicates that the associated objects before and after are in an "or" relationship.

[0032] The term "at least one" in this article is merely a description of the association relationship of associated objects, indicating that there may be three relationships. For example, at least one of A and B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0033] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusions. Example 1

[0034] This embodiment mainly introduces an automatic identification system for drop trucks.

[0035] An automatic identification system for a drop truck, characterized in that it comprises an Ethernet module 1, a communication module 2, a voice sound and light alarm 3, an RFID card reader 4, a hardware router 5 and a server 6;

[0036] The Ethernet module 1 is connected to the RFID card reader 4;

[0037] The communication module 2 is connected to the server 6 via a switch;

[0038] The voice sound and light alarm 3 is connected to the hardware router 5 via wireless;

[0039] The RFID card reader 4 is connected to the hardware router 5 via wireless;

[0040] The hardware router 5 is connected to the server 6;

[0041] The identification device is a movable device and can be freely moved according to the unloading point.

[0042] Preferably, by building a network server in the Ethernet module 1, the user can dynamically process various settings and monitor and control the status of I / O through a general network browser;

[0043] The Ethernet module 1, when logging into the ET-7017 webpage, must pass the account and password authentication;

[0044] The Ethernet module 1 includes an address filter that can be used to filter the range of IP addresses that must be rejected or accepted for connection;

[0045] The Ethernet module 1 integrates the multifunctional I / O components and multiple channels into a single module, which has the advantages of cost-effectiveness and increased IO performance.

[0046] Preferably, the communication module 2 supports 4G networks such as TDD LTE, FDD LTE, 3G+ networks such as HSPA+, supports 3G networks such as TD-SCDMA, EVDO, WCDMA, and supports 802.11b / g / n, with a maximum rate of up to 150Mbps.

[0047] Preferably, the voice sound and light alarm 3 includes a door magnetic switch. When powered on, the door magnetic switch sends a switch signal to activate the sound and light alarm.

[0048] Preferably, the RFID card reader 4 is a wireless radio frequency identification, which automatically identifies the target object and obtains relevant data through the radio frequency identification signal without manual intervention;

[0049] The RFID card reader 4 can identify high-speed moving objects and can identify multiple RFID tags at the same time, and the operation is quick and convenient.

[0050] This paper proposes a new type of automatic identification system for drop trucks. It utilizes the multifunctional I / O components of the Ethernet module and the characteristics of multi-channel integration into a single module. Combined with the communication module using a high-performance 32-bit MIPS processor, it is based on a general basic platform and modular design. It has built-in mainstream domestic and foreign wireless 3G / 3G+ / 4G LTE modules and an embedded operating system. It has also been optimized for the instability of wireless networks and large delay variations, so as to better meet the high efficiency and accuracy of an automatic identification system for drop trucks. Example 2

[0051] Based on the above-mentioned embodiment 1, this embodiment mainly introduces the operation steps of an automatic identification system for a drop truck:

[0052] Step 1: The dispatch director sends the instruction to the production manager of the warehousing business department;

[0053] Step 2: After the metering staff and the tally staff at the unloading point receive the instructions, the metering staff sends the vehicle of the operation line to the vehicle identification system for unloading and unloading to scan the vehicle. The tally staff at the cargo point warehouse reports to the production manager and handles the vehicles not at this site in a timely manner;

[0054] Step 3: The vehicle identification system at the unloading point determines whether the vehicle is a vehicle for this site. If so, unloading will proceed normally. If not, the on-site vehicle identification system will sound an alarm. At the same time, the meter operator and the tally clerk will check with each other. The metering software will pop up a related alarm dialog box, form an alarm record, and promptly handle vehicles that are not from this site.

[0055] The above description is only the preferred embodiment of the utility model, which does not limit the protection scope of the utility model. For those skilled in the art, the utility model can be modified and changed in various ways. Any changes, modifications, replacements, integrations and parameter changes to these embodiments within the spirit and principle of the utility model through conventional substitutions or capable of achieving the same functions without departing from the principles and spirit of the utility model shall fall within the protection scope of the utility model.

Claims

1. An automatic identification system for drop trucks, characterized in that: It includes an Ethernet module (1), a communication module (2), a voice, sound and light alarm (3), an RFID card reader (4), a hardware router (5) and a server (6); The Ethernet module (1) is connected to the RFID card reader (4); The communication module (2) is connected to the server (6) via a switch; The voice sound and light alarm (3) is connected to the hardware router (5) via wireless; The RFID card reader (4) is connected to the hardware router (5) via wireless; The hardware router (5) is connected to the server (6).

2. The automatic identification system for drop trucks according to claim 1 is characterized in that: The Ethernet module (1) comprises an address filter for screening the range of IP addresses that must be rejected or accepted for connection.

3. The automatic identification system for drop trucks according to claim 1 is characterized in that: The voice sound and light alarm (3) comprises a door magnetic switch. When powered on, a switch signal is sent through the door magnetic switch to activate the sound and light alarm.

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