Logistics transportation management system based on big data

Abstract

The invention discloses a logistics transportation management system based on big data, and relates to the technical field of transportation management, the transportation management system comprises a data acquisition module, a data processing module, a data storage module, a user login module, an early warning module and a prediction module, the data acquisition module is used for acquiring data about logistics information; the system has the advantages that the data is classified and stored through the data storage module, then the authority management unit calls the user information for identification, the corresponding authority of the user is obtained, and the corresponding authority of the user is stored through the data processing module. When the article enters the next stage, the transportation management system calls the storage information corresponding to the corresponding authority to check, and when the article enters the next stage, the data storage module updates the storage information, so that the transportation management system is ensured to check different users, and the effect of protecting the data privacy of the article in the transportation management system is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of transportation management, and in particular to a logistics transportation management system based on big data. Background Art

[0002] In the early stage, logistics transportation mainly relied on traditional manual management and simple information recording methods. The information flow during transportation was not smooth, and the location and status of the goods were difficult to grasp in real time, resulting in low transportation efficiency and high costs. At the same time, vehicle scheduling and route planning mainly relied on experience, lacked scientific basis, and were prone to unreasonable arrangements. With the initial application of information technology, some logistics companies began to introduce basic logistics management software and realized the informatization of some business processes, such as the management of goods in and out of the warehouse, the recording and tracking of orders, etc. However, the data processing capabilities of these systems are limited and cannot fully integrate and analyze a large amount of logistics data. With the rise of big data technology, the logistics and transportation management system has ushered in major changes. First, by installing Internet of Things devices such as GPS locators and sensors on transportation vehicles, it is possible to collect real-time data such as vehicle location, speed, fuel consumption, and cargo status information;

[0003] However, the current logistics and transportation management process based on big data is cumbersome, resulting in confusion in the authority of managers, which may lead to data leakage during the transportation process. For this reason, we propose a logistics and transportation management system based on big data. Summary of the invention

[0004] The purpose of the present invention is to provide a logistics transportation management system based on big data.

[0005] To achieve the above object, the present invention provides the following technical solutions: a logistics transportation management system based on big data, the transportation management system includes a data acquisition module, a data processing module, a data storage module, a user login module, an early warning module and a prediction module;

[0006] The data acquisition module is used to obtain data on logistics information;

[0007] The data processing module plans the transportation routes and transportation vehicles of goods according to the logistics information, installs GPS in the transportation vehicles, and transmits GPS data to the data storage module and the early warning module in real time;

[0008] The data storage module is used to classify the information of the data acquisition module, and classify the information into temporary storage, periodic storage and unified storage according to the information content. The temporary storage is used to store the logistics information of the current stage. The periodic storage is stored after the logistics information of the current stage is completed. The logistics information in the temporary storage is transferred to the periodic storage. When the periodic storage completes the storage of the logistics information of each stage, the periodic storage data is transferred to the unified storage.

[0009] The user login module is used for the user to log in to the transportation management system through the client and the APP. The user login module includes a permission management unit, and the permission management unit includes temporary permissions, management permissions and modification permissions. When the permission management unit recognizes that the user has temporary permissions, the transportation management system retrieves the information in the temporary storage and transmits the information in the temporary storage to the client and the APP. When the permission management unit recognizes that the user has management permissions, the transportation management system retrieves the information in the periodic storage and temporary storage, and transmits the information in the periodic storage and temporary storage to the client and the APP for viewing. When the permission management unit recognizes that the user has modification permissions, the transportation management system retrieves the information in the temporary storage, periodic storage and unified storage, and the user modifies the retrieved temporary storage, periodic storage and unified storage information through the client and the APP.

[0010] The early warning module includes a real-time monitoring unit, which retrieves the transport route of the transport vehicle, obtains the current position of the transport vehicle in real time according to the GPS, and analyzes the vehicle status according to the vehicle position data. When the vehicle status is analyzed to be abnormal, the early warning module issues an alarm;

[0011] The prediction module predicts the logistics transportation status and processes the order transaction information according to the prediction results.

[0012] As a further solution of the present invention: the data acquisition module includes an interaction unit and an information analysis unit, the interaction unit is used to obtain logistics information data, wherein the logistics information includes order transaction data, item inventory data and vehicle transportation data, and transmit the logistics information data to the information analysis unit, the information analysis unit analyzes the content of the logistics information data, obtains logistics stage data according to the logistics information content, and transmits the stage data to the data processing module.

[0013] As a further solution of the present invention: the data processing module processes the logistics information data according to different stages. When the data acquisition module transmits the order transaction data to the data processing module, the data processing module retrieves the vehicle and plans the transportation route according to the content in the order transaction data. When the data acquisition module transmits the item inventory data to the data processing module, the data processing module transmits the item update instruction to the data storage module, and uniformly analyzes the item inventory data and the order transaction data to generate an electronic transport bill, and integrates the electronic transport bill with the data of the retrieved vehicle. When the data acquisition module transmits the vehicle transportation data to the data processing module, the data processing module removes impurities from the vehicle transportation data, and transmits the processed vehicle transportation data to the early warning module and the data storage module.

[0014] As a further solution of the present invention: the data storage module is used to construct a temporary storage space and a periodic storage module and a unified storage space for permanent storage. After the server constructs the temporary storage space, the data processing module transfers the transportation data of each stage to the temporary storage module. After the temporary storage module receives the data of another stage, the temporary storage module transfers the data of the current stage to the periodic storage module, and then the temporary storage module stores the data of another stage. When the temporary storage module receives the data of completed transportation, the temporary storage module transfers the stored data to the periodic storage module, and then the periodic storage module times the currently stored data. When the data stored in the periodic storage module reaches 15 days, the periodic storage module transfers the data to the unified storage for storage.

[0015] As a further solution of the present invention: when the user logs in to the transportation management system, the user login module uses the authority management unit to identify the user information and obtain the user's authority at different stages. When the user is in the current transportation stage, the transportation management system retrieves the content data in the temporary storage for matching; when the user is not in the current transportation stage, the transportation management system reminds the user that he is not in the current transportation stage.

[0016] As a further solution of the present invention: the warning module is provided with a first-level warning unit and a second-level warning unit, and the module determines the warning level by analyzing the vehicle transportation status data. When the warning module determines that it is a first-level warning, the first-level warning unit transmits the transportation route data to the data processing module, and an optimized route model is set in the data processing module. The optimized route model adjusts the vehicle's route transportation data according to the GPS data. When the warning module determines that it is a second-level warning, the second-level warning unit calls the camera equipment on the vehicle to obtain vehicle information and determines whether the vehicle is in a dangerous state. When the vehicle is in a dangerous state, the warning module quickly responds to the user through the transportation management system. When the vehicle is not in a dangerous state, the second-level warning unit notifies the driver of the vehicle that the driving route is abnormal.

[0017] As a further solution of the present invention: the early warning module obtains the transportation status data of different vehicles at different stages through a formula, and the specific formula is as follows:

[0018]

[0019] Among them, C it represents the vehicle transportation status data of the i-th vehicle at stage t, W 实 Represents the actual position data of the vehicle every kilometer during transportation, W 预 represents the predicted position data of the vehicle every kilometer during transportation, f 1 Represents the weight coefficient of the vehicle during transportation and movement, S 实 Indicates the actual speed data of the vehicle during transportation, S 预 Represents the predicted vehicle speed data during transportation, f 2 represents the weight coefficient of vehicle speed;

[0020] After planning the transportation route, the data processing module will set clear threshold standards for each route, and the threshold is set to X i , when C it >95%X i When 85%X i <C it ≤95%X i When , the warning module determines it as a first-level warning. When 85%X i ≥C it When the vehicle speed and position are abnormal, the warning module will adjust f 1 With f 2 The proportion between .

[0021] As a further solution of the present invention: the prediction module includes a prediction unit, which is responsible for obtaining road condition data of the vehicle at different transportation stages and transmitting the road condition data to the first-level warning unit. The prediction module obtains electronic transport bill data according to the vehicle, queries the items in the electronic transport bill when a second-level warning occurs in the warning module, and transmits the item data to the transportation management system.

[0022] By adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention are:

[0023] 1. The present invention classifies and stores data through a data storage module, and then the user logs in to the transportation management system through a user login module, and then the authority management unit retrieves the user information for identification, obtains the user's corresponding authority, and the transportation management system retrieves the storage information corresponding to the corresponding authority for viewing. When the item enters the next stage, the data storage module updates the storage information, and the authority management unit updates the authorized user, thereby ensuring that the transportation management system can view different users, thereby achieving the effect of protecting the privacy of item data in the transportation management system;

[0024] 2. The present invention processes the order transaction data through the data processing module, and transmits the processed logistics information data to the data storage module, and then stores it according to different storage areas in the data storage module. When the data processing module analyzes the same order transaction data, the storage area in the data storage module is updated, thereby ensuring the effect of classified storage of logistics information data;

[0025] 3. The present invention identifies user information through the authority management unit, so that users can only obtain the transportation data of the current stage, ensuring that users at different stages have different authority functions and guaranteeing the privacy of the user's transportation process;

[0026] 4. The present invention obtains the transportation status through the early warning module, judges the transportation status, and then analyzes the transportation status, performs timing processing on the problems that arise during the transportation process, and at the same time predicts the dangers in the transportation process through the prediction module, thereby improving the transportation management system's response speed to abnormal problems.

[0027] Other advantages, objectives and features of the present invention will be set forth in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a flow chart of the transportation management system in an embodiment of the present invention. DETAILED DESCRIPTION

[0029] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.

[0030] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0031] Embodiment 1:

[0032] Please refer to the attached Figure 1 The present invention provides a logistics transportation management system based on big data, the transportation management system includes a data acquisition module, a data processing module, a data storage module, a user login module, an early warning module and a prediction module;

[0033] The data acquisition module is used to obtain data about logistics information;

[0034] The data processing module plans the transportation routes and transportation vehicles according to the logistics information, installs GPS in the transportation vehicles, and transmits GPS data to the data storage module and the early warning module in real time;

[0035] The data storage module is used to classify the information of the data acquisition module, and divide the information into temporary storage, periodic storage and unified storage according to the information content. Temporary storage is used to store the logistics information of the current stage. Periodic storage is used to store the logistics information of the current stage after the logistics information of the current stage is completed. The logistics information in the temporary storage is transferred to the periodic storage. When the periodic storage completes the storage of the logistics information of each stage, the periodic storage data is transferred to the unified storage.

[0036] The user login module is used for users to log in to the transportation management system through the client and APP. The user login module includes a permission management unit, and the permission management unit includes temporary permission, management permission and modification permission. When the permission management unit recognizes that the user has temporary permission, the transportation management system retrieves the information in the temporary storage and transmits the information in the temporary storage to the client and APP. When the permission management unit recognizes that the user has management permission, the transportation management system retrieves the information in the periodic storage and temporary storage, and transmits the information in the periodic storage and temporary storage to the client and APP for viewing. When the permission management unit recognizes that the user has modification permission, the transportation management system retrieves the information in the temporary storage, periodic storage and unified storage, and the user modifies the retrieved temporary storage, periodic storage and unified storage information through the client and APP;

[0037] The early warning module includes a real-time monitoring unit, which retrieves the transport route of the transport vehicle and obtains the current position of the transport vehicle in real time according to the GPS, and analyzes the vehicle status according to the vehicle's position data. When the vehicle status is analyzed to be abnormal, the early warning module will sound an alarm;

[0038] The prediction module predicts the logistics transportation status and processes the order transaction information based on the prediction results.

[0039] Specific workflow: Use the data acquisition module to obtain logistics information, and then use the data processing module to analyze and classify the logistics information. Then the data processing module plans the route of the transport vehicle based on the analyzed logistics information. At the same time, the data processing module transmits the classified logistics information data to the data storage module. The data storage module builds different storage areas to store different types of information data. Then the user logs in to the transportation management system through the user login module and can retrieve the information in the corresponding storage area. The temporary storage area can be updated at each transfer point, and then the permissions of different users can be changed to improve the privacy of the overall transportation management process. Then the early warning module and the prediction module monitor the transportation process of the items in real time, and then give early warning to vehicles that have abnormalities during the transportation process and process electronic orders.

[0040] Furthermore, the data is classified and stored through the data storage module, and then the user logs in to the transportation management system through the user login module, and then the authority management unit retrieves the user information for identification, obtains the user's corresponding authority, and the transportation management system retrieves the storage information corresponding to the corresponding authority for viewing. When the item enters the next stage, the data storage module updates the storage information, and the authority management unit updates the authorized user, thereby ensuring that the transportation management system can view different users, thereby achieving the effect of protecting the privacy of item data in the transportation management system.

[0041] Embodiment 2:

[0042] Based on the first embodiment, please refer to the attached Figure 1As shown, the data acquisition module includes an interaction unit and an information analysis unit. The interaction unit is used to obtain logistics information data, wherein the logistics information includes order transaction data, item inventory data and vehicle transportation data, and transmits the logistics information data to the information analysis unit. The information analysis unit analyzes the content of the logistics information data, obtains logistics stage data according to the content of the logistics information, and transmits the stage data to the data processing module. The data processing module processes the logistics information data according to different stages. When the data acquisition module transmits the order transaction data to the data processing module, the data processing module retrieves the vehicle and plans the transportation route according to the content in the order transaction data. When the data acquisition module transmits the item inventory data to the data processing module, the data processing module transmits the item update instruction to the data storage module, and uniformly analyzes the item inventory data and the order transaction data to generate an electronic transport bill, and integrates the electronic transport bill with the data of the retrieved vehicle. When the data acquisition module transmits the order transaction data to the data processing module, the data processing module transmits the item update instruction to the data storage module, and uniformly analyzes the item inventory data and the order transaction data to generate an electronic transport bill, and integrates the electronic transport bill with the data of the retrieved vehicle. When the module transmits vehicle transportation data to the data processing module, the data processing module removes impurities from the vehicle transportation data, and transmits the processed vehicle transportation data to the early warning module and the data storage module. The data storage module is used to build a temporary storage space and a periodic storage module as well as a unified storage space for permanent storage. After the server builds the temporary storage space, the data processing module transmits the transportation data of each stage to the temporary storage module. After receiving the data of another stage, the temporary storage module inputs it to the temporary storage module to transfer the data of the current stage to the periodic storage module, and then the temporary storage module stores the data of another stage. When the temporary storage module receives the data of completed transportation, the temporary storage module transfers the stored data to the periodic storage module, and then the periodic storage module times the currently stored data. When the data stored in the periodic storage module reaches 15 days, the periodic storage module transfers the data to the unified storage for storage.

[0043] Specific workflow: The data processing module retrieves vehicles and plans transportation routes based on the content in the order transaction data. When the item inventory data is received: the data processing module transmits the item update instruction to the data storage module, analyzes the item inventory data and the order transaction data in a unified manner, generates an electronic transport order, and integrates the electronic transport order with the data of the retrieved vehicle. When the vehicle transportation data is received: the data processing module removes impurities from the vehicle transportation data, and transmits the processed vehicle transportation data to the early warning module and the data storage module. The data storage module constructs a temporary storage space, a periodic storage module, and a permanent storage unified storage space. After the server constructs the temporary storage space, the data processing module transmits the transportation data of each stage to the temporary storage module. When the temporary storage module receives the data of another stage, it transmits the data of the current stage to the periodic storage module, and then stores the data of another stage. When the temporary storage module receives the data of the completed transportation, it transmits the stored data to the periodic storage module. The periodic storage module times the currently stored data. When the stored data reaches 15 days, the data is transferred to the unified storage for storage.

[0044] Furthermore, the order transaction data is processed by the data processing module, and the processed logistics information data is transmitted to the data storage module, and then stored according to different storage areas in the data storage module. When the data processing module analyzes the same order transaction data, the storage area in the data storage module is updated, thereby ensuring the effect of classified storage of the logistics information data.

[0045] Embodiment three:

[0046] Based on the second embodiment, please refer to the attached Figure 1 As shown, when the user logs in to the transportation management system, the user login module uses the authority management unit to identify the user information and obtain the user's authority at different stages. When the user is in the current transportation stage, the transportation management system retrieves the content data in the temporary storage for matching. When the user is not in the current transportation stage, the transportation management system reminds the user that he is not in the current transportation stage.

[0047] Specific workflow: Use the permission management unit to identify user information and obtain the user's permissions at different stages. If the user is in the current transportation stage: the transportation management system retrieves the content data in the temporary storage for matching so that the user can view and operate the information and functions related to the current transportation stage. If the user is not in the current transportation stage: the transportation management system reminds the user that he is not in the current transportation stage, and may restrict the user's access to certain functions or provide only limited information display.

[0048] Furthermore, user information is identified through the authority management unit so that the user can only obtain the transportation data of the current stage, ensuring that users at different stages have different authority functions and guaranteeing the privacy of the user's transportation process.

[0049] Embodiment 4:

[0050] Based on the third embodiment, please refer to the attached Figure 1 As shown, the warning module is provided with a first-level warning unit and a second-level warning unit. The module determines the warning level by analyzing the vehicle transportation status data. When the warning module determines that it is a first-level warning, the first-level warning unit transmits the transportation route data to the data processing module, and sets an optimization route model in the data processing module. The optimization route model adjusts the vehicle's route transportation data according to the GPS data. When the warning module determines that it is a second-level warning, the second-level warning unit retrieves the camera equipment on the vehicle to obtain vehicle information and determines whether the vehicle is in a dangerous state. When the vehicle is in a dangerous state, the warning module quickly responds to the user through the transportation management system. When the vehicle is not in a dangerous state, the second-level warning unit notifies the driver on the vehicle that the driving route is abnormal. The warning module obtains the transportation status data of different vehicles at different stages through formulas. The specific formula is as follows:

[0051]

[0052] Among them, C it represents the vehicle transportation status data of the i-th vehicle at stage t, w 实 Represents the actual position data of the vehicle every kilometer during transportation, W 预 represents the predicted position data of the vehicle every kilometer during transportation, f 1 Represents the weight coefficient of the vehicle during transportation and movement, S 实 Indicates the actual speed data of the vehicle during transportation, S 预 Represents the predicted vehicle speed data during transportation, f 2 represents the weight coefficient of vehicle speed;

[0053] After planning the transportation route, the data processing module will set clear threshold standards for each route, and the threshold is set to X i , when C it >95%X i When 85%X i <C it ≤95%X i When , the warning module determines it as a first-level warning. When 85%X i ≥C it When the vehicle speed and position are abnormal, the warning module will adjust f1 With f 2 The prediction module includes a prediction unit, which is responsible for obtaining the road condition data of the vehicle in different transportation stages and transmitting the road condition data to the first-level warning unit. The prediction module obtains the electronic transport order data according to the vehicle, and queries the items in the electronic transport order when the second-level warning occurs in the warning module, and transmits the item data to the transportation management system.

[0054] Specific workflow: The GPS device on the vehicle continuously sends positioning data to the logistics and transportation management system, including the vehicle's latitude and longitude coordinates, driving speed, driving direction and other information. These data are updated at certain time intervals (such as every few seconds or every minute). For example, during transportation, the vehicle sends the current location information to the system every 10 seconds, so that the system can track the dynamic position of the vehicle in real time, and obtain road condition information in combination with external data sources, such as real-time road condition data provided by the transportation department, road condition updates of map software, etc. These road condition information include road congestion, construction information, accident information, etc. The GPS data and road condition information are cleaned and sorted, and outliers and erroneous data are removed. According to the current position and target position of the vehicle, combined with the planned route, the current route status is analyzed, and the advantages and disadvantages of the current route are evaluated by comparing the vehicle's driving speed, estimated arrival time and other indicators on the current route. Using map data and algorithms, multiple optional route plans are generated. These plans can be based on different road selections, detour strategies, etc., and the adjusted route information is sent to the vehicle driver or relevant personnel of the transportation management system.

[0055] Furthermore, the transportation status is obtained and judged through the early warning module, and then the transportation status is analyzed, and the problems that arise during the transportation process are dealt with in a timely manner. At the same time, the dangers in the transportation process are predicted through the prediction module, thereby improving the transportation management system's response speed to abnormal problems.

[0056] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A logistics and transportation management system based on big data, characterized by: The transportation management system includes a data acquisition module, a data processing module, a data storage module, a user login module, an early warning module and a prediction module; The data acquisition module is used to obtain data on logistics information; The data processing module plans the transportation routes and transportation vehicles of goods according to the logistics information, installs GPS in the transportation vehicles, and transmits GPS data to the data storage module and the early warning module in real time; The data storage module is used to classify the information of the data acquisition module, and classify the information into temporary storage, periodic storage and unified storage according to the information content. The temporary storage is used to store the logistics information of the current stage. The periodic storage is stored after the logistics information of the current stage is completed. The logistics information in the temporary storage is transferred to the periodic storage. When the periodic storage completes the storage of the logistics information of each stage, the periodic storage data is transferred to the unified storage. The user login module is used for the user to log in to the transportation management system through the client and the APP. The user login module includes a permission management unit, and the permission management unit includes temporary permissions, management permissions and modification permissions. When the permission management unit recognizes that the user has temporary permissions, the transportation management system retrieves the information in the temporary storage and transmits the information in the temporary storage to the client and the APP. When the permission management unit recognizes that the user has management permissions, the transportation management system retrieves the information in the periodic storage and temporary storage, and transmits the information in the periodic storage and temporary storage to the client and the APP for viewing. When the permission management unit recognizes that the user has modification permissions, the transportation management system retrieves the information in the temporary storage, periodic storage and unified storage, and the user modifies the retrieved temporary storage, periodic storage and unified storage information through the client and the APP. The early warning module includes a real-time monitoring unit, which retrieves the transport route of the transport vehicle, obtains the current position of the transport vehicle in real time according to the GPS, and analyzes the vehicle status according to the vehicle position data. When the vehicle status is analyzed to be abnormal, the early warning module issues an alarm; The prediction module predicts the logistics transportation status and processes the order transaction information according to the prediction results.

2. The big data-based logistics and transportation management system according to claim 1, characterized in that: The data acquisition module includes an interaction unit and an information analysis unit. The interaction unit is used to obtain logistics information data, wherein the logistics information includes order transaction data, item inventory data and vehicle transportation data, and transmit the logistics information data to the information analysis unit. The information analysis unit analyzes the content of the logistics information data, obtains logistics stage data based on the logistics information content, and transmits the stage data to the data processing module.

3. The big data-based logistics and transportation management system according to claim 2 is characterized by: The data processing module processes the logistics information data according to different stages. When the data acquisition module transmits the order transaction data to the data processing module, the data processing module retrieves the vehicle and plans the transportation route according to the content in the order transaction data. When the data acquisition module transmits the item inventory data to the data processing module, the data processing module transmits the item update instruction to the data storage module, and uniformly analyzes the item inventory data and the order transaction data to generate an electronic transport bill, and integrates the electronic transport bill with the data of the retrieved vehicle. When the data acquisition module transmits the vehicle transportation data to the data processing module, the data processing module removes impurities from the vehicle transportation data, and transmits the processed vehicle transportation data to the early warning module and the data storage module.

4. The big data-based logistics and transportation management system according to claim 3 is characterized by: The data storage module is used to construct a temporary storage space and a periodic storage module as well as a unified storage space for permanent storage. After the server constructs the temporary storage space, the data processing module transfers the transportation data of each stage to the temporary storage module. After receiving the data of another stage, the temporary storage module transfers the data of the current stage to the periodic storage module, and then the temporary storage module stores the data of another stage. When the temporary storage module receives the data of completed transportation, the temporary storage module transfers the stored data to the periodic storage module, and then the periodic storage module times the currently stored data. When the data stored in the periodic storage module reaches 15 days, the periodic storage module transfers the data to the unified storage for storage.

5. The big data-based logistics and transportation management system according to claim 4, characterized in that: When a user logs in to the transportation management system, the user login module uses the authority management unit to identify the user information and obtain the user's authority at different stages. When the user is in the current transportation stage, the transportation management system retrieves the content data in the temporary storage for matching. When the user is not in the current transportation stage, the transportation management system reminds the user that he is not in the current transportation stage.

6. A logistics and transportation management system based on big data according to claim 5, characterized in that: The warning module is provided with a first-level warning unit and a second-level warning unit. The module determines the warning level by analyzing the vehicle transportation status data. When the warning module determines that it is a first-level warning, the first-level warning unit transmits the transportation route data to the data processing module, and sets an optimization route model in the data processing module. The optimization route model adjusts the vehicle's route transportation data according to the GPS data. When the warning module determines that it is a second-level warning, the second-level warning unit retrieves the camera equipment on the vehicle to obtain vehicle information and determines whether the vehicle is in a dangerous state. When the vehicle is in a dangerous state, the warning module quickly responds to the user through the transportation management system. When the vehicle is not in a dangerous state, the second-level warning unit notifies the driver of the vehicle that the driving route is abnormal.

7. A logistics and transportation management system based on big data according to claim 6, characterized in that: The early warning module obtains the transportation status data of different vehicles at different stages through formulas. The specific formula is as follows: Among them, C it represents the vehicle transportation status data of the i-th vehicle at stage t, W 实 Represents the actual position data of the vehicle every kilometer during transportation, W 预 represents the predicted position data of the vehicle every kilometer during transportation, f1 represents the weight coefficient of the vehicle during transportation, S 实 Indicates the actual speed data of the vehicle during transportation, S 预 It represents the speed data of the predicted vehicle during transportation, and f2 represents the weight coefficient of the vehicle speed; After planning the transportation route, the data processing module will set clear threshold standards for each route, and the threshold is set to X i , when C it >95%X i When 85%X i <C it ≤95%X i When , the warning module determines it as a first-level warning. When 85%X i ≥C it When the vehicle speed and position are abnormal, the ratio between f1 and f2 is adjusted.

8. The big data-based logistics and transportation management system according to claim 7, characterized in that: The prediction module includes a prediction unit, which is responsible for obtaining the road condition data of the vehicle at different transportation stages and transmitting the road condition data to the first-level warning unit. The prediction module obtains the electronic transport bill data according to the vehicle, queries the items in the electronic transport bill when the second-level warning occurs in the warning module, and transmits the item data to the transportation management system.

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