CN117933852A - Intelligent logistics system based on Internet of things - Google Patents
Intelligent logistics system based on Internet of things Download PDFInfo
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- CN117933852A CN117933852A CN202410095017.3A CN202410095017A CN117933852A CN 117933852 A CN117933852 A CN 117933852A CN 202410095017 A CN202410095017 A CN 202410095017A CN 117933852 A CN117933852 A CN 117933852A
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Abstract
The invention discloses an intelligent logistics system based on the Internet of things, and relates to the technical field of the Internet of things. The system comprises an acquisition tracking system and an intelligent decision system; the acquisition tracking system comprises an RFID radio frequency identification module, a sensor data processing module and a GPS positioning navigation module, wherein the RFID radio frequency identification module identifies an article label stuck on an article, and the label has unique article information; the RFID radio frequency identification module uploads the identified article information to the sensor data processing module for identification processing; the GPS positioning navigation module is arranged on the logistics vehicle for positioning and navigating logistics routes, and the acquisition tracking system can check the order running flow and information of the articles. The invention can strictly monitor the articles in the logistics transfer process and the receiving link, and avoid the problems that the articles are damaged and cannot be overtaken and impostor.
Description
Technical Field
The invention relates to the technical field of the Internet of things, in particular to an intelligent logistics system based on the Internet of things.
Background
The internet of things is a network which extends and expands on the basis of the internet, and a sensor, a radio frequency tag and an intelligent network are utilized to establish a connection among various objects so as to realize interaction of people and objects or objects and objects. The wireless sensor network is characterized in that the wireless sensor network is used for realizing real-time acquisition, transmission, communication, analysis and processing of logistics information in the whole process of cargo transportation by means of electronic tags distributed on cargoes, warehouses and transportation vehicles and a movable handheld data acquisition intelligent terminal and a GPS-based geographic information system, and an integrated system for human-object-information interconnection is formed in the form of the Internet of things so as to realize omnibearing coverage of distributed information points.
At present, the goods are required to be carried or loaded and unloaded in the logistics transportation and transfer processes, and the damage problem of the goods is most likely to occur in the carrying and loading and unloading processes, because the existing logistics system is not provided with an intelligent recognition system, the goods are difficult to be overturned once damaged, and the goods are generally checked and accepted by adopting the goods taking code in the process of goods receiving, and once the goods taking code is stolen, the goods can be possibly taken by a lovely person.
In summary, the invention designs an intelligent logistics system based on the Internet of things.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent logistics system based on the Internet of things, which can strictly monitor articles in the logistics transfer process and the goods receiving link and avoid the problems that articles are damaged, cannot be overtaken and cannot be taken over.
In order to achieve the above object, the present invention is realized by the following technical scheme: the intelligent logistics system based on the Internet of things comprises an acquisition tracking system and an intelligent decision system; the acquisition tracking system comprises an RFID radio frequency identification module, a sensor data processing module, a GPS positioning navigation module and a machine vision system, wherein the RFID radio frequency identification module is used for identifying an article label stuck on an article, and the label is provided with unique article information; the RFID radio frequency identification module uploads the identified article information to the sensor data processing module for identification processing; the GPS positioning navigation module is arranged on the logistics vehicle and used for positioning and navigating logistics routes, and the acquisition tracking system can check the order running flow and information of the articles; the machine vision system performs goods recognition and tracking, code scanning recognition and analysis, weight object detection and logistics vehicle dispatching.
Preferably, the intelligent decision system comprises a cloud computer, a data analysis module and a display terminal, wherein the cloud computer is connected with the data analysis module to track and process information of transported articles and information of transported logistics, and finally the information is displayed through the display terminal, so that a manager can conveniently watch the running track and contact personnel of each article, the collected data are analyzed and processed through a data mining and analysis tool, and decision support is realized.
Preferably, the article is also provided with sensors for monitoring the state and environmental parameters of the article, such as temperature, humidity, pressure and other integrated sensors.
Preferably, the object recognition and tracking module realizes automatic recognition, classification, size detection and volume calculation of cargoes through image processing and analysis technologies, and meanwhile, the machine vision can perform track marking and speed monitoring in the moving process of cargoes.
Preferably, the code scanning recognition and analysis module is used for realizing rapid and accurate code scanning recognition and analysis, and greatly improving the logistics transportation speed and the safety.
Preferably, the weight object detection module is used for realizing automatic weighing by analyzing a photographed image of the weight object and combining an image recognition technology.
Preferably, the logistics vehicle dispatching module realizes automatic dispatching and supervision by identifying information such as vehicle model, license plate number, color and the like.
Preferably, the article is also provided with an encrypted picking code, the article acceptance can be carried out only when the picking short message verification code of the picking person is successfully verified, the phenomenon that other people take the article is prevented, and the following specific guarantee is realized:
1. Firstly, sending a short message to a communication company through a mobile phone of an article receiver, receiving a short message verification code by the mobile phone, checking the received verification code with a verification code of an express delivery person, and if the verification code is consistent with the verification code of the express delivery person, receiving the short message successfully;
2. If the goods are inconsistent, the goods are not received successfully;
3. When goods are checked during receiving, if the goods are found to be damaged, the goods can be communicated with an express delivery person for verification, the express delivery person can immediately check the intelligent decision-making system, the intelligent decision-making system immediately ascertains specific conditions, particularly to individuals, then performs chasing, and properly processes matters.
The invention has the following beneficial effects:
1. And the logistics efficiency is improved. The intelligent logistics system can support the logistics service provider and the terminal client to monitor logistics information in real time, discover problems in time and realize comprehensive control of logistics. For example, the system can check the transportation condition of the goods in real time, check the arrival condition of the goods and quickly master the transportation condition, thereby improving the logistics efficiency.
2. The logistics cost is reduced. The intelligent logistics system can track the transportation condition of goods in real time, so that the transportation speed of the goods is increased, the time of the goods in transportation is reduced, and the logistics cost is reduced.
3. The logistics service quality is improved, the intelligent logistics system can automatically carry out logistics tracking, timely send logistics information according to the requirements of customers and timely feed back the information, so that the satisfaction of the customers is improved, and the logistics service quality is improved.
4. The logistics safety is improved. The intelligent logistics management system can monitor the transportation condition of goods in real time, grasp the position and the state of the goods in real time, and improve logistics safety.
5. The logistics quality is improved. The intelligent logistics management system can monitor the transportation condition of goods in real time, detect the damage condition of the goods, and realize the whole-course quality monitoring of the goods, thereby improving the logistics quality.
6. Once the articles are damaged, specific handling personnel in transit handling can be determined, the situation can be timely found out, and the responsibility tracking can be carried out.
7. And in the article re-picking link, the mobile phone verification code is sent to verify and receive goods, so that the condition of article impossibility is avoided, and the safety is improved.
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The invention is described in detail below with reference to the drawings and the detailed description;
FIG. 1 is a schematic diagram of the structure of the present invention;
fig. 2 is a schematic diagram of a machine vision system of the present invention.
Detailed Description
The invention is further described in connection with the following detailed description, in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
Referring to fig. 1-2, the present embodiment adopts the following technical scheme: the intelligent logistics system based on the Internet of things comprises an acquisition tracking system and an intelligent decision system; the acquisition tracking system comprises an RFID radio frequency identification module 1, a sensor data processing module 2, a GPS positioning navigation module 3 and a machine vision system 7, wherein the RFID radio frequency identification module 1 identifies an article label stuck on an article, and the label has unique article information; the RFID radio frequency identification module 1 uploads the identified article information to the sensor data processing module 2 for identification processing; the GPS positioning navigation module 3 is arranged on the logistics vehicle and used for positioning and navigating logistics routes, the acquisition tracking system can check the order running flow and information of the articles, and the machine vision system 7 comprises a cargo identification and tracking module, a code scanning identification and analysis module, a weight object detection module and a logistics vehicle dispatching module.
The machine vision system 7 adopts a 50MPCMOS large-area-array camera to match with a light source. The camera adopts a reliable interface design, ensures the reliable operation of the camera in a logistics system, and combines with powerful ISP algorithms such as edge enhancement, noise reduction, gamma correction, LUT, black level correction, target brightness, contrast and the like, so that the image quality is finer, the details are clearer, and the code reading is more intelligent. The specific implementation mode combines a plurality of industrial cameras special for logistics with a plurality of light sources, and realizes code reading under the condition that the transmission speed is 2.5m/s at most and the object is 1 meter. The maximum measurement range of the 3D laser volume measurement camera can reach 3000mm by 1000mm, and the accuracy can reach 5mm by 5mm. And the traditional machine learning method and the deep learning method are combined to accurately position the target in the image and guide the mechanical arm to accurately operate the target. The method can be applied to static and dynamic target recognition scenes of pipelines. Can meet the visual positioning requirements of various different shapes and illumination conditions.
It is worth noting that the intelligent decision system comprises a cloud computer 4, a data analysis module 5 and a display terminal 6, wherein the cloud computer 4 is connected into the data analysis module 5 to track and process information of transported articles and transport logistics information, and finally the information is displayed through the display terminal 6, so that a manager can conveniently watch the running track and contact personnel of each article, the collected data is analyzed and processed through a data mining and analysis tool, and decision support is realized. Because the cloud computing technology is adopted, the data processing efficiency and the storage capacity are improved.
It is noted that the article is also provided with sensors for monitoring the state and environmental parameters of the article, such as temperature, humidity, pressure and the like.
In addition, the article still be provided with the encryption and get a yard, need get a person's get a short message verification code verification success and just can carry out article acceptance, prevent that other people from taking the phenomenon of article, the specific assurance is as follows:
1. Firstly, sending a short message to a communication company through a mobile phone of an article receiver, receiving a short message verification code by the mobile phone, checking the received verification code with a verification code of an express delivery person, and if the verification code is consistent with the verification code of the express delivery person, receiving the short message successfully;
2. If not, the shipment is unsuccessful.
3. When goods are checked during receiving, if the goods are found to be damaged, the goods can be communicated with an express delivery person for verification, the express delivery person can immediately check the intelligent decision-making system, the intelligent decision-making system immediately ascertains specific conditions, particularly to individuals, then performs chasing, and properly processes matters.
Cargo identification and tracking module of machine vision system of this embodiment: in a logistics system, there are many different kinds of goods with different sizes to be identified and tracked. The machine vision can realize automatic identification, classification, size detection, volume calculation and the like of cargoes through technologies such as image processing, analysis and the like, and meanwhile, the machine vision can also realize functions such as track marking, speed monitoring and the like in the moving process of cargoes.
The code scanning recognition and analysis module of the specific embodiment: the code scanning gun is used for identifying two-dimensional codes, bar codes and the like, manual intervention is needed, the efficiency is low, the cost is high, and quick and accurate code scanning identification and analysis can be realized by using a machine vision technology, so that the logistics transportation speed and the safety are greatly improved.
The weight object detection module of this embodiment: in different logistics scenarios, there are goods that need to be weighed, such as large items, batch scrapping, etc. The machine vision can realize automatic weighing by analyzing the photographed image of the weight object and combining an image recognition technology, so that errors caused by human participation are avoided.
The vehicle scheduling module of this embodiment: in the logistics distribution link, each distribution vehicle needs to be scheduled and supervised. The machine vision technology can realize automatic dispatching and supervision by identifying information such as vehicle model, license plate number, color and the like.
The intelligent logistics system based on the Internet of things can improve logistics efficiency, reduce logistics cost, improve logistics service quality, improve logistics safety and logistics quality, and accordingly logistics management level of enterprises is improved. Moreover, the goods can be strictly monitored in the logistics transfer process and the goods receiving link, and the problems that the goods are damaged, cannot be overturned and cannot be impounded are avoided.
Example 1: the intelligent logistics system based on the Internet of things comprises an acquisition tracking system and an intelligent decision making system, wherein the acquisition tracking system acquires and uploads the acquired information of articles, the information of staff carrying the articles, the logistics transportation state, the logistics vehicle position information and the like to the intelligent decision making system, and the acquired data is analyzed and processed through a data mining and analyzing tool and is subjected to decision making support. When the article is transported to the receiving place, a short message is sent to the communication company through the mobile phone of the article receiver, the mobile phone receives the short message verification code, and the received verification code and the verification code of the courier are verified, so that the verification is successful, namely the receiving is successful.
The receiving location can be a receiving post, a receiving address and a receiving address of the receiving party, and a receiving party formulated address.
When receiving goods, if the goods are damaged, the goods can be communicated with an express delivery person for verification, the express delivery person can immediately check the intelligent decision system, the intelligent decision system immediately ascertains specific conditions, particularly to individuals, and then performs the following responsibility and processes matters.
The foregoing has shown and described the basic principles and main features of the present invention and the advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. The intelligent logistics system based on the Internet of things is characterized by comprising an acquisition tracking system and an intelligent decision system; the acquisition tracking system comprises an RFID radio frequency identification module, a sensor data processing module, a GPS positioning navigation module and a machine vision system, wherein the RFID radio frequency identification module is used for identifying an article label stuck on an article, and the label is provided with unique article information; the RFID radio frequency identification module uploads the identified article information to the sensor data processing module for identification processing; the GPS positioning navigation module is arranged on the logistics vehicle and used for positioning and navigating logistics routes, and the acquisition tracking system can check the order running flow and information of the articles; the machine vision system comprises a cargo identification and tracking module, a code scanning identification and analysis module, a weight object detection module and a logistics vehicle dispatching module.
2. The intelligent logistics system based on the internet of things according to claim 1, wherein the intelligent decision system comprises a cloud computer, a data analysis module and a display terminal, wherein the cloud computer is connected with the data analysis module to track and process information of transported articles and transport logistics information, and finally the information is displayed through the display terminal, so that a manager can conveniently watch the running track and contact personnel of each article, the collected data is analyzed and processed through a data mining and analysis tool, and decision support is realized.
3. The intelligent logistics system based on the internet of things of claim 1, wherein the article is further provided with sensors for monitoring the state and environmental parameters of the article, such as temperature, humidity, pressure and the like.
4. The intelligent logistics system based on the internet of things according to claim 1, wherein the object recognition and tracking module is used for realizing automatic recognition, classification, size detection and volume calculation of goods through an image processing and analysis technology, and meanwhile, in the moving process of the goods, the machine vision can perform track marking and speed monitoring.
5. The intelligent logistics system based on the internet of things of claim 1, wherein the code scanning recognition and analysis module is used for realizing rapid and accurate code scanning recognition and analysis.
6. The intelligent logistics system based on the internet of things of claim 1, wherein the weight object detection module is used for realizing automatic weighing by combining an image recognition technology through shot image analysis of the weight object.
7. The intelligent logistics system based on the internet of things of claim 1, wherein the logistics vehicle scheduling module realizes automatic scheduling and supervision by identifying information such as vehicle model, license plate number, color and the like.
8. The intelligent logistics system based on the internet of things of claim 1, wherein the article is further provided with an encrypted pickup code, the article inspection and acceptance can be performed only after the pickup short message verification code of the pickup person is successfully verified, and the phenomenon that other people take the article is prevented, wherein the following is specifically ensured:
(1) Firstly, sending a short message to a communication company through a mobile phone of an article receiver, receiving a short message verification code by the mobile phone, checking the received verification code with a verification code of an express delivery person, and if the verification code is consistent with the verification code of the express delivery person, receiving the short message successfully;
(2) If the goods are inconsistent, the goods are not received successfully;
(3) When goods are checked during receiving, if the goods are found to be damaged, the goods can be communicated with an express delivery person for verification, the express delivery person can immediately check the intelligent decision-making system, the intelligent decision-making system immediately ascertains specific conditions, particularly to individuals, then performs overtaking, and properly processes matters.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410095017.3A CN117933852A (en) | 2024-01-23 | 2024-01-23 | Intelligent logistics system based on Internet of things |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202410095017.3A CN117933852A (en) | 2024-01-23 | 2024-01-23 | Intelligent logistics system based on Internet of things |
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| CN117933852A true CN117933852A (en) | 2024-04-26 |
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| CN202410095017.3A Pending CN117933852A (en) | 2024-01-23 | 2024-01-23 | Intelligent logistics system based on Internet of things |
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