An integrated management method and system for network freight industry

Abstract

The present invention proposes an integrated management method and system for the network freight industry. The integrated management method for the network freight industry includes: the logistics terminal receives the transport order information in real time; obtains the cargo transportation requirements according to the transport order information, and determines the target transport vehicle according to the cargo transportation requirements and the current transport vehicle type combined with the transport route evaluation parameters and the vehicle carrying capacity evaluation parameters to meet the constraint relationship; when the target transport vehicle enters the transport process, monitors the location information of the target transport vehicle in real time, and shares the location information with the cargo owner terminal, the logistics terminal and the receiving terminal. The system includes modules corresponding to the steps of the method.

Description

Technical Field

[0001] The present invention proposes an integrated management method and system for network freight industry, belonging to the technical field of logistics data management. Background Art

[0002] With the rapid development of e-commerce and global trade, the logistics industry is facing unprecedented challenges and opportunities. The traditional freight model can no longer meet the growing demand for cargo transportation, especially in terms of efficiency, accuracy and real-time performance. In order to meet the above challenges, the online freight industry has emerged and has gradually become an important part of the modern logistics system. However, although the online freight industry has made certain progress in integrating transportation resources and optimizing distribution routes, it still faces many difficulties in achieving comprehensive and efficient integrated management.

[0003] First, in the traditional freight model, there is a serious lag and asymmetry in the information transmission between cargo owners, logistics companies and consignees. It is often difficult for cargo owners to obtain the real-time status of cargo transportation, and it is also difficult for logistics companies to accurately grasp the location and status of transportation vehicles, resulting in low transportation efficiency and low customer satisfaction. In addition, the selection of transportation vehicles often relies on manual judgment and experience, lacks scientificity and accuracy, and is difficult to ensure the safety and timeliness of cargo transportation.

[0004] Secondly, in the process of cargo transportation, the acquisition and sharing of real-time location information is the key to improving logistics efficiency and ensuring cargo safety. However, traditional freight systems often lack effective location tracking and information sharing mechanisms, resulting in the inability of cargo owners, logistics companies and consignees to obtain real-time location information of transport vehicles, increasing transportation risks and uncertainties.

[0005] In order to solve the above problems, the online freight industry has begun to explore integrated management methods, aiming to achieve full-process management of freight transportation through information and intelligent means. However, most online freight platforms on the market currently focus on functions such as vehicle-cargo matching and order management, but still have shortcomings in real-time location information tracking and sharing. Summary of the invention

[0006] The present invention provides an integrated management method and system for the network freight industry to solve the technical problems existing in the above-mentioned prior art. The method realizes real-time information interaction between logistics terminals, cargo owner terminals and receiving terminals by constructing an information platform, ensuring that every link in the cargo transportation process can be monitored and managed in a timely and accurate manner. At the same time, the method also uses advanced positioning technology and data analysis methods to conduct real-time monitoring and intelligent scheduling of transport vehicles, improve transportation efficiency, reduce transportation costs, ensure cargo safety, and provide strong support for the development of the network freight industry. The technical solutions adopted are as follows:

[0007] An integrated management method for a network freight industry, the integrated management method for a network freight industry comprising:

[0008] The logistics terminal receives the transport order information in real time;

[0009] Acquire cargo transportation requirements according to the transportation order information, and determine the target transportation vehicle according to the cargo transportation requirements and the current transportation vehicle type combined with the constraint relationship satisfied by the transportation route evaluation parameters and the vehicle carrying capacity evaluation parameters;

[0010] When the target transport vehicle enters the transport process, the location information of the target transport vehicle is monitored in real time, and the location information is shared with the cargo owner terminal, the logistics terminal and the receiving terminal.

[0011] Furthermore, the logistics terminal receives the transport order information in real time, including:

[0012] Real-time monitoring of whether the transport order information has been received;

[0013] When the transport order information is received, the transport order information is parsed to obtain the cargo transportation requirements contained in the transport order information; wherein the cargo transportation requirements include cargo type, cargo quantity, origin, destination and expected transportation time.

[0014] Further, obtaining cargo transportation requirements according to the transportation order information, and determining a target transportation vehicle according to the cargo transportation requirements and the current transportation vehicle type combined with the constraint relationship satisfied by the transportation route evaluation parameters and the vehicle carrying capacity evaluation parameters, including:

[0015] Extracting the transport vehicle information currently in the database, wherein the transport vehicle includes the type of truck, the size of the truck, the weight of the truck and the degree of loss of the truck;

[0016] Determine the truck type based on the cargo type;

[0017] According to the quantity and weight of the cargo, a truck size and a truck weight matching the quantity and weight of the cargo are selected from the truck type to obtain a candidate truck vehicle;

[0018] A target transport vehicle is selected from the candidate truck vehicles according to the transport route and expected transport time combined with the truck wear and tear degree of the candidate truck vehicles.

[0019] Further, selecting a target transport vehicle from the candidate truck vehicles according to the transport route and the expected transport time combined with the truck wear and tear degree of the candidate truck vehicles comprises:

[0020] Obtaining transportation route evaluation parameters based on transportation routes and expected transportation time;

[0021] Obtaining vehicle carrying capacity evaluation parameters according to the truck wear degree of each of the candidate truck vehicles, the size and weight of each vehicle itself, and the volume and weight of the cargo;

[0022] The vehicle whose transport route evaluation parameters and vehicle carrying capacity evaluation parameters satisfy the preset constraint conditions is taken as the target transport vehicle;

[0023] When there are multiple vehicles that meet the preset constraint conditions, the transport vehicle corresponding to the maximum value of the vehicle carrying capacity evaluation parameter is selected as the target transport vehicle.

[0024] Furthermore, when the target transport vehicle enters the transport process, the location information of the target transport vehicle is monitored in real time, and the location information is shared with the cargo owner terminal, the logistics terminal and the receiving terminal, including:

[0025] When the target transport vehicle enters the transport process, the real-time position information of the target transport vehicle is obtained in real time through the positioning device;

[0026] Sharing the real-time location information and data of the target transport vehicle to a satellite communication node;

[0027] The satellite communication node shares the real-time location information data of the target transport vehicle with the cargo owner terminal, logistics terminal and receiving terminal.

[0028] An integrated management system for network freight industry, the integrated management system for network freight industry comprising:

[0029] Order information receiving module, used for logistics terminal to receive transportation order information in real time;

[0030] A target transport vehicle acquisition module is used to acquire cargo transport requirements according to the transport order information, and determine the target transport vehicle according to the cargo transport requirements and the current transport vehicle type combined with the constraint relationship satisfied by the transport route evaluation parameters and the vehicle carrying capacity evaluation parameters;

[0031] The data sharing module is used to monitor the location information of the target transport vehicle in real time when the target transport vehicle enters the transport process, and share the location information with the cargo owner terminal, the logistics terminal and the receiving terminal.

[0032] Furthermore, the order information receiving module includes:

[0033] Real-time monitoring module, used to monitor in real time whether the transportation order information has been received;

[0034] The cargo transportation requirement acquisition module is used to parse the transportation order information when it receives the transportation order information, and obtain the cargo transportation requirements contained in the transportation order information; wherein the cargo transportation requirements include cargo type, cargo quantity, starting place, destination and expected transportation time.

[0035] Furthermore, the target transport vehicle acquisition module includes:

[0036] A transport vehicle information extraction module is used to extract the transport vehicle information currently in the library, wherein the transport vehicle includes the type of truck, the size of the truck, the weight of the truck and the degree of loss of the truck;

[0037] A truck type determination module, used to determine the truck type according to the cargo type;

[0038] A candidate truck vehicle acquisition module is used to select a truck size and a truck weight that match the quantity and weight of the cargo from the truck type according to the quantity and weight of the cargo, and acquire a candidate truck vehicle;

[0039] The target transport vehicle determination module is used to select a target transport vehicle from the candidate truck vehicles according to the transport route and expected transport time combined with the truck wear and tear degree of the candidate truck vehicles.

[0040] Furthermore, the target transport vehicle determination module includes:

[0041] A transport route evaluation parameter acquisition module is used to acquire transport route evaluation parameters according to the transport route and expected transport time;

[0042] A vehicle carrying capacity evaluation parameter acquisition module is used to acquire vehicle carrying capacity evaluation parameters according to the truck wear degree of each of the candidate truck vehicles, the size and weight of each vehicle itself, and the volume and weight of the cargo;

[0043] A first target transport vehicle screening module, used to select vehicles whose transport route evaluation parameters and vehicle carrying capacity evaluation parameters meet preset constraints as target transport vehicles;

[0044] The second target transport vehicle screening module is used to screen the transport vehicle corresponding to the maximum value of the vehicle carrying capacity evaluation parameter as the target transport vehicle when there are multiple vehicles that meet the preset constraint conditions.

[0045] Furthermore, the data sharing module includes:

[0046] A real-time positioning module is used to obtain the real-time position information of the target transport vehicle through a positioning device when the target transport vehicle enters the transport process;

[0047] A first data sharing module is used to share the real-time location information of the target transport vehicle to a satellite communication node;

[0048] The second data sharing module is used for the satellite communication node to share the real-time location information data of the target transport vehicle to the cargo owner terminal, the logistics terminal and the receiving terminal.

[0049] Beneficial effects of the present invention:

[0050] The integrated management method and system for the online freight industry proposed in the present invention can greatly shorten the order processing time and vehicle waiting time and improve the overall transportation efficiency by receiving and processing transportation order information in real time, and intelligently matching the target transportation vehicles. Ship owners, logistics companies and consignees can obtain the location information of transportation vehicles in real time, understand the transportation progress and cargo status, and enhance the transparency of the cargo transportation process. Real-time monitoring of vehicle location helps to promptly detect abnormal situations (such as vehicle deviation from the route, long-term stay, etc.), so as to quickly take countermeasures and reduce transportation risks. By providing real-time and accurate transportation information, customers' trust and satisfaction with logistics services are enhanced, which helps to establish long-term and stable customer relationships. Intelligent matching of transportation vehicles and real-time monitoring of vehicle location help logistics companies better understand the use of transportation resources, optimize resource allocation, and improve resource utilization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is a flow chart of the method of the present invention;

[0052] Figure 2 The system block diagram of the system of the present invention. DETAILED DESCRIPTION

[0053] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0054] The embodiment of the present invention proposes an integrated management method for the network freight industry, such as Figure 1 As shown, the integrated management method for the network freight industry includes:

[0055] S1. The logistics terminal receives the transport order information in real time;

[0056] S2. Obtaining cargo transportation requirements according to the transportation order information, and determining a target transportation vehicle according to the cargo transportation requirements and the current transportation vehicle type combined with the constraint relationship satisfied by the transportation route evaluation parameters and the vehicle carrying capacity evaluation parameters;

[0057] S3. When the target transport vehicle enters the transport process, the location information of the target transport vehicle is monitored in real time, and the location information is shared with the cargo owner terminal, the logistics terminal and the receiving terminal.

[0058] The working principle of the above technical solution is: the logistics terminal (such as the management system or intelligent device of the logistics company) is connected to the cargo owner or other order source in real time through the network platform. Once a new transportation order is generated, the logistics terminal can immediately receive the order information. The above order information usually includes key data such as cargo type, quantity, departure place, destination, and transportation requirements.

[0059] After receiving the transport order, the system analyzes the cargo transportation requirements in the order, such as cargo size, weight, temperature control and other special requirements. Then, based on the above requirements and the currently available transport vehicle types (such as vans, refrigerated trucks, hazardous goods transport vehicles, etc.), the system selects the most suitable transport vehicle as the target transport vehicle through intelligent algorithms or manual judgment.

[0060] Once the target transport vehicle begins to perform the transport task, the system uses GPS or other positioning technologies to monitor the vehicle's location information in real time. The above information includes the vehicle's latitude and longitude, speed, driving direction, etc. Subsequently, the system synchronizes the above location information in real time to the cargo owner's terminal (such as the cargo owner's mobile phone APP or computer management system), logistics terminal (logistics company's management system) and receiving terminal (receiving device or management system of the consignee), so that all parties can grasp the transportation progress and vehicle location in real time.

[0061] The effect of the above technical solution is: by receiving and processing transportation order information in real time, and intelligently matching the target transportation vehicles, the order processing time and vehicle waiting time can be greatly shortened, and the overall transportation efficiency can be improved. Shippers, logistics companies and consignees can obtain the location information of transportation vehicles in real time, understand the transportation progress and cargo status, and enhance the transparency of the cargo transportation process. Real-time monitoring of vehicle location helps to detect abnormal situations in a timely manner (such as vehicle deviation from the route, long-term stay, etc.), so as to take countermeasures quickly and reduce transportation risks. By providing real-time and accurate transportation information, customers' trust and satisfaction in logistics services are enhanced, which helps to establish long-term and stable customer relationships. Intelligent matching of transportation vehicles and real-time monitoring of vehicle location help logistics companies better understand the use of transportation resources, optimize resource allocation, and improve resource utilization efficiency.

[0062] In one embodiment of the present invention, the logistics terminal receives the transport order information in real time, including:

[0063] S101, real-time monitoring of whether the transport order information is received;

[0064] S102. When the transport order information is received, the transport order information is parsed to obtain the cargo transportation requirements contained in the transport order information; wherein the cargo transportation requirements include cargo type, cargo quantity, origin, destination and expected transportation time.

[0065] The working principle of the above technical solution is: the logistics terminal (such as the logistics company's server, management system or smart device) continuously maintains a network connection with the order source (such as the cargo owner's system, third-party platform, etc.), and monitors in real time whether there is new transportation order information arriving through polling, push notifications or event triggering. This step is to ensure that the logistics terminal can respond to and process new orders in a timely manner. When the transportation order information is received, the transportation order information is parsed to obtain the cargo transportation requirements contained in the transportation order information:

[0066] Once the logistics terminal detects new transport order information, it will automatically trigger the parsing process. The parsing process involves a detailed reading and understanding of the order information content to extract key data elements from it. The above data elements constitute the cargo transportation requirements, including but not limited to cargo type (such as food, electronic products, chemicals, etc.), cargo quantity (measured in weight, volume or number of pieces), origin (shipping location), destination (receiving location) and expected transportation time (the time range in which the shipper wants the cargo to arrive). The extracted cargo transportation requirements will be used in subsequent steps, such as vehicle scheduling, route planning, cost estimation, etc., to ensure the smooth execution of the transportation task.

[0067] The effect of the above technical solution is: by real-time monitoring whether the transport order information is received, the logistics terminal can quickly respond to new transportation needs, reduce order processing delays, and improve the response speed of logistics services. Automatically parsing the transport order information and extracting the cargo transportation requirements reduces the possibility of manual intervention and errors, and improves processing efficiency and accuracy. Ensure that all necessary cargo transportation requirements are accurately extracted from the transport order information to provide reliable data support for subsequent transportation planning and execution. The extracted cargo transportation requirements provide logistics companies with basic data for decision support, which helps the company to better make decisions such as vehicle scheduling, route planning, and cost control, thereby improving overall transportation efficiency and profitability. By quickly and accurately processing transport order information, logistics companies can provide transportation services to cargo owners in a timely manner and meet cargo owners' expected transportation time and other requirements, thereby improving customer satisfaction and loyalty.

[0068] In one embodiment of the present invention, the cargo transportation requirements are obtained according to the transportation order information, and the target transportation vehicle is determined according to the cargo transportation requirements and the current transportation vehicle type in combination with the constraint relationship satisfied by the transportation route evaluation parameters and the vehicle carrying capacity evaluation parameters, including:

[0069] S201, extracting the information of the transport vehicles currently in the database, wherein the transport vehicles include the type of truck, the size of the truck, the weight of the truck and the degree of loss of the truck;

[0070] S202, determining the truck type according to the cargo type;

[0071] S203, selecting a truck size and a truck weight that match the quantity and weight of the cargo from the truck type according to the quantity and weight of the cargo, and obtaining a candidate truck vehicle;

[0072] S204: Filter out a target transport vehicle from the candidate trucks according to the transport route and expected transport time combined with the degree of truck wear and tear of the candidate trucks.

[0073] The working principle of the above technical solution is as follows: the logistics system first accesses its database or management system to extract all currently available transport vehicle information. The above information includes but is not limited to the type of truck (such as van, refrigerated truck, dangerous goods transport truck, etc.), the size of the truck (such as length, width, height), the load capacity of the truck, and the degree of wear and tear of the truck (indicating the use and maintenance status of the vehicle, etc.).

[0074] The system determines the type of truck required based on the type of goods in the transport order. For example, perishable foods may require a refrigerated truck, while large machinery and equipment may require a heavy-duty truck.

[0075] After determining the type of truck, the system further selects trucks of the selected type with the appropriate size and load capacity based on the quantity and weight of the goods. This step ensures that the truck can load and transport the goods safely and efficiently.

[0076] Finally, the system considers the transportation route (including distance, road conditions, traffic conditions, etc.) and the transportation time expected by the cargo owner, as well as the degree of wear and tear of the truck, and selects the best target transportation vehicle from the candidate trucks. Vehicles with lower wear and tear are usually more reliable, can complete transportation tasks faster, and reduce delays caused by vehicle failures.

[0077] The effect of the above technical solution is: by comprehensively considering multiple factors such as cargo type, quantity, weight, transportation route, expected transportation time and truck wear and tear, the technical solution can more accurately match the most suitable transportation vehicle and improve transportation efficiency and safety. By acquiring and updating the information of transportation vehicles in the library in real time, the system can make more effective use of existing resources, avoid idle or overused vehicles, and optimize resource allocation. By selecting the most suitable transportation vehicle, the additional costs caused by vehicle mismatch (such as fuel consumption, maintenance costs, etc.) can be reduced, thereby reducing the overall transportation cost. By quickly and accurately matching transportation vehicles and meeting the expected transportation time requirements of the shipper, customer satisfaction and loyalty can be improved. By improving transportation efficiency, reducing costs and improving customer satisfaction, this technical solution helps logistics companies stand out in the fierce market competition and enhance their market competitiveness.

[0078] In one embodiment of the present invention, the target transport vehicle is selected from the candidate truck vehicles according to the transport route and the expected transport time combined with the truck wear degree of the candidate truck vehicles, including:

[0079] S2041. Obtaining transportation route evaluation parameters according to the transportation route and expected transportation time;

[0080] The transport route evaluation parameters are obtained by the following formula:

[0081]

[0082] in, J 01 represents the transport route evaluation parameters; v represents the expected average speed corresponding to the candidate truck vehicle meeting the cargo transportation requirements; sqrt Represents the square root function symbol; L Indicates the length of the transport route; S Indicates the average slope corresponding to the transportation route; l represents the first weight factor; T e Indicates the expected shipping time; T m It represents the theoretical shortest time that the candidate vehicle can transport under ideal conditions; a Indicates the base of the preset logarithmic function; or represents a first adjustment factor, and the value range of the first adjustment factor is 0.12-0.37; m represents the second adjustment factor, and the second adjustment factor is obtained by the following formula:

[0083]

[0084] in, m represents the second regulatory factor; L Indicates the length of the transport route; a Indicates the base of the preset logarithmic function; L m Indicates the length of the slope section corresponding to the maximum slope; S Indicates the average slope corresponding to the transportation route; S b Indicates the standard deviation of the slope of the slope section of the transportation route; S max and S min They represent the maximum and minimum slope values ​​of the transport route respectively; or represents a first adjustment factor, and the value range of the first adjustment factor is 0.12-0.37;

[0085] S2042, obtaining vehicle carrying capacity evaluation parameters according to the degree of truck wear and tear of each of the candidate truck vehicles, the size and weight of each vehicle itself, and the volume and weight of the cargo;

[0086] The vehicle carrying capacity evaluation parameter is obtained by the following formula:

[0087]

[0088] in, J 02 Indicates the vehicle carrying capacity assessment parameter; D A percentage value representing the degree of truck loss corresponding to the candidate truck vehicle; d represents a preset attenuation coefficient, and the attenuation coefficient has a value range of 0.06-0.11; W g Indicates the weight of the cargo; W max Indicates the maximum load-bearing weight of the vehicle; V h Indicates the volume of cargo; V c Indicates the volume of cargo space corresponding to the size of the vehicle itself; k represents the second weight factor; r Indicates the penalty item used to adjust for exceeding the maximum vehicle load weight; represents the third regulatory factor;

[0089] The expression used to adjust the penalty for exceeding the maximum vehicle load is as follows:

[0090]

[0091] in, rIndicates the penalty item used to adjust for exceeding the maximum vehicle load weight; β represents a preset baseline impact factor; γ represents a preset sensitivity parameter, and the value range of the sensitivity parameter is 0.11-0.84; W g Indicates the weight of the cargo; W max Indicates the maximum load-bearing weight of the vehicle;

[0092] Furthermore, the third adjustment factor is obtained by the following formula:

[0093]

[0094] in, represents the third regulatory factor; W g Indicates the weight of the cargo; W max Indicates the maximum load-bearing weight of the vehicle; W z Indicates the own weight of the candidate truck vehicle; a Indicates the base of the preset logarithmic function;

[0095] S2043, taking a vehicle whose transport route evaluation parameter and vehicle carrying capacity evaluation parameter meet preset constraints as a target transport vehicle; wherein the preset constraints are as follows:

[0096]

[0097] in, J 01 represents the transport route evaluation parameters; J 02 Indicates the vehicle carrying capacity assessment parameter; f represents a preset ratio parameter, and the ratio parameter has a value range of 0.19-0.94;

[0098] S2044. When there are multiple vehicles that meet the preset constraint conditions, select a transport vehicle corresponding to the maximum value of the vehicle carrying capacity evaluation parameter as the target transport vehicle.

[0099] The working principle of the above technical solution is: detailed analysis of the transportation route, including route length, road conditions (such as road type, traffic congestion, construction area, etc.), estimated driving time, etc. At the same time, combined with the transportation time expected by the shipper, the system calculates the time limit and other relevant parameters required to complete the transportation task as the transportation route evaluation parameters.

[0100] Obtain vehicle carrying capacity evaluation parameters based on the degree of truck wear and tear of each candidate truck, the size and weight of each vehicle itself, and the volume and weight of the cargo: For each candidate truck, the system comprehensively considers its degree of wear and tear (reflecting the vehicle's maintenance status and reliability), the size and weight restrictions of the vehicle itself, and the volume and weight requirements of the cargo, and calculates the actual carrying capacity of the vehicle. This evaluation parameter not only takes into account the physical limitations of the vehicle, but also incorporates factors such as vehicle performance and maintenance status.

[0101] The system compares the above two evaluation parameters with the preset constraints. The above constraints may include time constraints (to ensure that the transportation is completed within the expected time), size and weight restrictions (to ensure that the vehicle can safely load and transport the goods), and reliability requirements (to ensure that the selected vehicle has high reliability to reduce transportation risks). Vehicles that meet all the preset constraints are considered potential target transportation vehicles.

[0102] If there are multiple potential target transport vehicles, the system will further compare their vehicle carrying capacity evaluation parameters and select the vehicle with the largest parameter value as the final target transport vehicle to ensure that the selected vehicle has the largest carrying capacity and optimal transport performance while meeting all constraints.

[0103] The effect of the above technical solution is: by comprehensively considering multiple evaluation parameters and preset constraints, the technical solution can more accurately screen out the most suitable transport vehicles and reduce transportation delays and cost increases caused by improper vehicle selection. By selecting vehicles with the highest carrying capacity and optimal transportation performance, the transportation time can be shortened, the transportation efficiency can be improved, and the expected transportation time requirements of the cargo owner can be better met. By considering reliability factors such as the degree of vehicle wear and tear, the transportation risks caused by vehicle failures can be reduced, and the safety and reliability of cargo transportation can be guaranteed. By providing efficient and reliable transportation services, customer satisfaction and loyalty can be improved, and the market competitiveness of logistics companies can be enhanced. This technical solution provides logistics companies with intelligent decision support tools, which optimize the selection process of transport vehicles and improve decision-making efficiency and accuracy through automation and data analysis.

[0104] This technical solution calculates the transport route evaluation parameters (J01) and the vehicle carrying capacity evaluation parameters (J02), taking into account the physical characteristics of the transport route (such as length, slope, etc.) and the actual conditions of the candidate trucks (such as degree of wear and tear, size and weight, cargo volume and weight, etc.), so as to more comprehensively evaluate the applicability of different vehicles on different routes.

[0105] The calculation of the transport route evaluation parameter (J01) takes into account multiple factors such as the expected transport time, the theoretical shortest time, and the slope of the route, which helps to accurately evaluate the transport efficiency and safety. For example, by considering the slope standard deviation and the maximum / minimum slope, the complexity and potential risks of the route can be more accurately reflected. The vehicle carrying capacity evaluation parameter (J02) takes into account the degree of loss of the truck, the degree of matching of the cargo weight and volume with the vehicle carrying capacity, and the penalty for exceeding the maximum carrying weight, thereby ensuring the safety and efficiency of transportation. The technical solution includes multiple adjustable parameters (such as the first adjustment factor η, the second adjustment factor μ, the attenuation coefficient δ, the second weight factor k, the baseline influence factor β, the sensitivity parameter γ, etc.), which can be adjusted according to actual conditions to adapt to different transport needs and vehicle conditions. Through the preset constraints (such as the value range of the proportional parameter f), the technical solution can efficiently screen out the target transport vehicles that meet the requirements. When there are multiple vehicles that meet the conditions, the optimal transport vehicle can be further screened out by comparing the maximum value of the vehicle carrying capacity evaluation parameter (J02). This technical solution provides a scientific basis for transportation decision-making and helps to improve the intelligence level of transportation decision-making. By comprehensively considering multiple factors, potential problems and risks in the transportation process can be predicted more accurately, so that corresponding measures can be taken to prevent and respond.

[0106] In summary, this technical solution achieves accurate evaluation and efficient screening of transport vehicles by comprehensively considering multiple aspects of transport routes and vehicle capabilities, which helps to improve transport efficiency, safety and intelligence.

[0107] In one embodiment of the present invention, when a target transport vehicle enters a transport process, the location information of the target transport vehicle is monitored in real time, and the location information is shared with a cargo owner terminal, a logistics terminal, and a receiving terminal, including:

[0108] S301, when the target transport vehicle enters the transport process, real-time location information of the target transport vehicle is obtained in real time through a positioning device;

[0109] S302, sharing the real-time location information and data of the target transport vehicle to a satellite communication node;

[0110] S303. The satellite communication node shares the real-time location information data of the target transport vehicle with the cargo owner terminal, the logistics terminal and the receiving terminal.

[0111] The working principle of the above technical solution is: when the target transport vehicle starts to perform the transport task, the positioning device (such as a GPS receiver) installed on the vehicle will start to work, capturing and processing the vehicle's latitude, longitude, speed and other location information in real time. The above location information represents the vehicle's current accurate location and movement status.

[0112] After the positioning device obtains the real-time location information, it will send the above data to the satellite communication node through the vehicle communication equipment (such as the vehicle satellite communication terminal). The satellite communication node is a bridge connecting the vehicle and the remote terminal (such as the cargo owner terminal, logistics terminal, and receiving terminal), responsible for receiving, processing and forwarding data.

[0113] After receiving the real-time location information of the target transport vehicle, the satellite communication node will immediately transmit the above data to the cargo owner terminal, logistics terminal and receiving terminal through the satellite network or other communication methods (such as the Internet). The above terminals can be smart phones, tablets, computers or other devices with network connection functions. They receive and display the real-time location information of the vehicle through a dedicated logistics management system or APP.

[0114] The effect of the above technical solution is: by sharing the location information of the target transport vehicle in real time, the cargo owner, logistics company and consignee can understand the transportation status and location of the goods in real time, which improves the transparency of the entire transportation process. The sharing of real-time location information helps to establish a trust relationship between the cargo owner, logistics company and consignee, because all parties can verify the authenticity and accuracy of the transportation process at any time. Logistics companies can manage and dispatch the transportation process more effectively based on real-time location information, such as adjusting routes, predicting arrival times, coordinating receipts, etc., thereby improving transportation efficiency and service quality. The cargo owner and consignee can keep track of the transportation progress of the goods at any time by viewing the location information of the transport vehicle in real time. This convenience and real-time nature help to improve their satisfaction and loyalty. In emergency situations (such as vehicle failure, traffic accidents, etc.), real-time location information helps to quickly locate the vehicle position, take rescue measures in time, and ensure the safety of goods and personnel.

[0115] The embodiment of the present invention provides an integrated management system for the network freight industry, such as Figure 2 As shown, the integrated management system of the network freight industry includes:

[0116] Order information receiving module, used for logistics terminal to receive transportation order information in real time;

[0117] A target transport vehicle acquisition module is used to acquire cargo transport requirements according to the transport order information, and determine the target transport vehicle according to the cargo transport requirements and the current transport vehicle type combined with the constraint relationship satisfied by the transport route evaluation parameters and the vehicle carrying capacity evaluation parameters;

[0118] The data sharing module is used to monitor the location information of the target transport vehicle in real time when the target transport vehicle enters the transport process, and share the location information with the cargo owner terminal, the logistics terminal and the receiving terminal.

[0119] The working principle of the above technical solution is: the logistics terminal (such as the management system or intelligent device of the logistics company) is connected to the cargo owner or other order source in real time through the network platform. Once a new transportation order is generated, the logistics terminal can immediately receive the order information. The above order information usually includes key data such as cargo type, quantity, departure place, destination, and transportation requirements.

[0120] After receiving the transport order, the system analyzes the cargo transportation requirements in the order, such as cargo size, weight, temperature control and other special requirements. Then, based on the above requirements and the currently available transport vehicle types (such as vans, refrigerated trucks, hazardous goods transport vehicles, etc.), the system selects the most suitable transport vehicle as the target transport vehicle through intelligent algorithms or manual judgment.

[0121] Once the target transport vehicle begins to perform the transport task, the system uses GPS or other positioning technologies to monitor the vehicle's location information in real time. The above information includes the vehicle's latitude and longitude, speed, driving direction, etc. Subsequently, the system synchronizes the above location information in real time to the cargo owner's terminal (such as the cargo owner's mobile phone APP or computer management system), logistics terminal (logistics company's management system) and receiving terminal (receiving device or management system of the consignee), so that all parties can grasp the transportation progress and vehicle location in real time.

[0122] The effect of the above technical solution is: by receiving and processing transportation order information in real time, and intelligently matching the target transportation vehicles, the order processing time and vehicle waiting time can be greatly shortened, and the overall transportation efficiency can be improved. Shippers, logistics companies and consignees can obtain the location information of transportation vehicles in real time, understand the transportation progress and cargo status, and enhance the transparency of the cargo transportation process. Real-time monitoring of vehicle location helps to detect abnormal situations in a timely manner (such as vehicle deviation from the route, long-term stay, etc.), so as to take countermeasures quickly and reduce transportation risks. By providing real-time and accurate transportation information, customers' trust and satisfaction in logistics services are enhanced, which helps to establish long-term and stable customer relationships. Intelligent matching of transportation vehicles and real-time monitoring of vehicle location help logistics companies better understand the use of transportation resources, optimize resource allocation, and improve resource utilization efficiency.

[0123] In one embodiment of the present invention, the order information receiving module includes:

[0124] Real-time monitoring module, used to monitor in real time whether the transportation order information has been received;

[0125] The cargo transportation requirement acquisition module is used to parse the transportation order information when it receives the transportation order information, and obtain the cargo transportation requirements contained in the transportation order information; wherein the cargo transportation requirements include cargo type, cargo quantity, starting place, destination and expected transportation time.

[0126] The working principle of the above technical solution is: the logistics terminal (such as the logistics company's server, management system or smart device) continuously maintains a network connection with the order source (such as the cargo owner's system, third-party platform, etc.), and monitors in real time whether there is new transportation order information arriving through polling, push notifications or event triggering. This step is to ensure that the logistics terminal can respond to and process new orders in a timely manner. When the transportation order information is received, the transportation order information is parsed to obtain the cargo transportation requirements contained in the transportation order information:

[0127] Once the logistics terminal detects new transport order information, it will automatically trigger the parsing process. The parsing process involves a detailed reading and understanding of the order information content to extract key data elements from it. The above data elements constitute the cargo transportation requirements, including but not limited to cargo type (such as food, electronic products, chemicals, etc.), cargo quantity (measured in weight, volume or number of pieces), origin (shipping location), destination (receiving location) and expected transportation time (the time range in which the shipper wants the cargo to arrive). The extracted cargo transportation requirements will be used in subsequent steps, such as vehicle scheduling, route planning, cost estimation, etc., to ensure the smooth execution of the transportation task.

[0128] The effect of the above technical solution is: by real-time monitoring whether the transport order information is received, the logistics terminal can quickly respond to new transportation needs, reduce order processing delays, and improve the response speed of logistics services. Automatically parsing the transport order information and extracting the cargo transportation requirements reduces the possibility of manual intervention and errors, and improves processing efficiency and accuracy. Ensure that all necessary cargo transportation requirements are accurately extracted from the transport order information to provide reliable data support for subsequent transportation planning and execution. The extracted cargo transportation requirements provide logistics companies with basic data for decision support, which helps the company to better make decisions such as vehicle scheduling, route planning, and cost control, thereby improving overall transportation efficiency and profitability. By quickly and accurately processing transport order information, logistics companies can provide transportation services to cargo owners in a timely manner and meet cargo owners' expected transportation time and other requirements, thereby improving customer satisfaction and loyalty.

[0129] In one embodiment of the present invention, the target transport vehicle acquisition module includes:

[0130] A transport vehicle information extraction module is used to extract the transport vehicle information currently in the library, wherein the transport vehicle includes the type of truck, the size of the truck, the weight of the truck and the degree of loss of the truck;

[0131] A truck type determination module, used to determine the truck type according to the cargo type;

[0132] A candidate truck vehicle acquisition module is used to select a truck size and a truck weight that match the quantity and weight of the cargo from the truck type according to the quantity and weight of the cargo, and acquire a candidate truck vehicle;

[0133] The target transport vehicle determination module is used to select a target transport vehicle from the candidate truck vehicles according to the transport route and expected transport time combined with the truck wear and tear degree of the candidate truck vehicles.

[0134] The working principle of the above technical solution is as follows: the logistics system first accesses its database or management system to extract all currently available transport vehicle information. The above information includes but is not limited to the type of truck (such as van, refrigerated truck, dangerous goods transport truck, etc.), the size of the truck (such as length, width, height), the load capacity of the truck, and the degree of wear and tear of the truck (indicating the use and maintenance status of the vehicle, etc.).

[0135] The system determines the type of truck required based on the type of goods in the transport order. For example, perishable foods may require a refrigerated truck, while large machinery and equipment may require a heavy-duty truck.

[0136] After determining the type of truck, the system further selects trucks of the selected type with the appropriate size and load capacity based on the quantity and weight of the goods. This step ensures that the truck can load and transport the goods safely and efficiently.

[0137] Finally, the system considers the transportation route (including distance, road conditions, traffic conditions, etc.) and the transportation time expected by the cargo owner, as well as the degree of wear and tear of the truck, and selects the best target transportation vehicle from the candidate trucks. Vehicles with lower wear and tear are usually more reliable, can complete transportation tasks faster, and reduce delays caused by vehicle failures.

[0138] The effect of the above technical solution is: by comprehensively considering multiple factors such as cargo type, quantity, weight, transportation route, expected transportation time and truck wear and tear, the technical solution can more accurately match the most suitable transportation vehicle and improve transportation efficiency and safety. By acquiring and updating the information of transportation vehicles in the library in real time, the system can make more effective use of existing resources, avoid idle or overused vehicles, and optimize resource allocation. By selecting the most suitable transportation vehicle, the additional costs caused by vehicle mismatch (such as fuel consumption, maintenance costs, etc.) can be reduced, thereby reducing the overall transportation cost. By quickly and accurately matching transportation vehicles and meeting the expected transportation time requirements of the shipper, customer satisfaction and loyalty can be improved. By improving transportation efficiency, reducing costs and improving customer satisfaction, this technical solution helps logistics companies stand out in the fierce market competition and enhance their market competitiveness.

[0139] In one embodiment of the present invention, the target transport vehicle determination module includes:

[0140] A transport route evaluation parameter acquisition module is used to acquire transport route evaluation parameters according to the transport route and expected transport time;

[0141] A vehicle carrying capacity evaluation parameter acquisition module is used to acquire vehicle carrying capacity evaluation parameters according to the truck wear degree of each of the candidate truck vehicles, the size and weight of each vehicle itself, and the volume and weight of the cargo;

[0142] A first target transport vehicle screening module, used to select vehicles whose transport route evaluation parameters and vehicle carrying capacity evaluation parameters meet preset constraints as target transport vehicles;

[0143] The second target transport vehicle screening module is used to screen the transport vehicle corresponding to the maximum value of the vehicle carrying capacity evaluation parameter as the target transport vehicle when there are multiple vehicles that meet the preset constraint conditions.

[0144] The working principle of the above technical solution is: detailed analysis of the transportation route, including route length, road conditions (such as road type, traffic congestion, construction area, etc.), estimated driving time, etc. At the same time, combined with the transportation time expected by the shipper, the system calculates the time limit and other relevant parameters required to complete the transportation task as the transportation route evaluation parameters.

[0145] Obtain vehicle carrying capacity evaluation parameters based on the degree of truck wear and tear of each candidate truck, the size and weight of each vehicle itself, and the volume and weight of the cargo: For each candidate truck, the system comprehensively considers its degree of wear and tear (reflecting the vehicle's maintenance status and reliability), the size and weight restrictions of the vehicle itself, and the volume and weight requirements of the cargo, and calculates the actual carrying capacity of the vehicle. This evaluation parameter not only takes into account the physical limitations of the vehicle, but also incorporates factors such as vehicle performance and maintenance status.

[0146] The system compares the above two evaluation parameters with the preset constraints. The above constraints may include time constraints (to ensure that the transportation is completed within the expected time), size and weight restrictions (to ensure that the vehicle can safely load and transport the goods), and reliability requirements (to ensure that the selected vehicle has high reliability to reduce transportation risks). Vehicles that meet all the preset constraints are considered potential target transportation vehicles.

[0147] If there are multiple potential target transport vehicles, the system will further compare their vehicle carrying capacity evaluation parameters and select the vehicle with the largest parameter value as the final target transport vehicle to ensure that the selected vehicle has the largest carrying capacity and optimal transport performance while meeting all constraints.

[0148] The effect of the above technical solution is: by comprehensively considering multiple evaluation parameters and preset constraints, the technical solution can more accurately screen out the most suitable transport vehicles and reduce transportation delays and cost increases caused by improper vehicle selection. By selecting vehicles with the highest carrying capacity and optimal transportation performance, the transportation time can be shortened, the transportation efficiency can be improved, and the expected transportation time requirements of the cargo owner can be better met. By considering reliability factors such as the degree of vehicle wear and tear, the transportation risks caused by vehicle failures can be reduced, and the safety and reliability of cargo transportation can be guaranteed. By providing efficient and reliable transportation services, customer satisfaction and loyalty can be improved, and the market competitiveness of logistics companies can be enhanced. This technical solution provides logistics companies with intelligent decision support tools, which optimize the selection process of transport vehicles and improve decision-making efficiency and accuracy through automation and data analysis.

[0149] In one embodiment of the present invention, the data sharing module includes:

[0150] A real-time positioning module is used to obtain the real-time position information of the target transport vehicle through a positioning device when the target transport vehicle enters the transport process;

[0151] A first data sharing module is used to share the real-time location information of the target transport vehicle to a satellite communication node;

[0152] The second data sharing module is used for the satellite communication node to share the real-time location information data of the target transport vehicle to the cargo owner terminal, the logistics terminal and the receiving terminal.

[0153] The working principle of the above technical solution is: when the target transport vehicle starts to perform the transport task, the positioning device (such as a GPS receiver) installed on the vehicle will start to work, capturing and processing the vehicle's latitude, longitude, speed and other location information in real time. The above location information represents the vehicle's current accurate location and movement status.

[0154] After the positioning device obtains the real-time location information, it will send the above data to the satellite communication node through the vehicle communication equipment (such as the vehicle satellite communication terminal). The satellite communication node is a bridge connecting the vehicle and the remote terminal (such as the cargo owner terminal, logistics terminal, and receiving terminal), responsible for receiving, processing and forwarding data.

[0155] After receiving the real-time location information of the target transport vehicle, the satellite communication node will immediately transmit the above data to the cargo owner terminal, logistics terminal and receiving terminal through the satellite network or other communication methods (such as the Internet). The above terminals can be smart phones, tablets, computers or other devices with network connection functions. They receive and display the real-time location information of the vehicle through a dedicated logistics management system or APP.

[0156] The effect of the above technical solution is: by sharing the location information of the target transport vehicle in real time, the cargo owner, logistics company and consignee can understand the transportation status and location of the goods in real time, which improves the transparency of the entire transportation process. The sharing of real-time location information helps to establish a trust relationship between the cargo owner, logistics company and consignee, because all parties can verify the authenticity and accuracy of the transportation process at any time. Logistics companies can manage and dispatch the transportation process more effectively based on real-time location information, such as adjusting routes, predicting arrival times, coordinating receipts, etc., thereby improving transportation efficiency and service quality. The cargo owner and consignee can keep track of the transportation progress of the goods at any time by viewing the location information of the transport vehicle in real time. This convenience and real-time nature help to improve their satisfaction and loyalty. In emergency situations (such as vehicle failure, traffic accidents, etc.), real-time location information helps to quickly locate the vehicle position, take rescue measures in time, and ensure the safety of goods and personnel.

[0157] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if the above-mentioned modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include the above-mentioned modifications and variations.

Claims

1. An integrated management method for network freight industry, characterized in that: The integrated management method for the network freight industry includes: The logistics terminal receives the transport order information in real time; Acquire cargo transportation requirements according to the transportation order information, and determine the target transportation vehicle according to the cargo transportation requirements and the current transportation vehicle type combined with the constraint relationship satisfied by the transportation route evaluation parameters and the vehicle carrying capacity evaluation parameters; When the target transport vehicle enters the transport process, the location information of the target transport vehicle is monitored in real time, and the location information is shared with the cargo owner terminal, the logistics terminal and the receiving terminal; Obtaining cargo transportation requirements according to the transportation order information, and determining a target transportation vehicle according to the cargo transportation requirements and the current transportation vehicle type combined with the constraint relationship satisfied by the transportation route evaluation parameters and the vehicle carrying capacity evaluation parameters, including: Extracting the transport vehicle information currently in the database, wherein the transport vehicle includes the type of truck, the size of the truck, the weight of the truck and the degree of wear and tear of the truck; the degree of wear and tear of the truck is an indicator reflecting the use and maintenance status of the transport vehicle; Determine the truck type based on the cargo type; According to the quantity and weight of the cargo, a truck size and a truck weight matching the quantity and weight of the cargo are selected from the truck type to obtain a candidate truck vehicle; Selecting a target transport vehicle from the candidate truck vehicles based on the transport route and expected transport time combined with the truck wear and tear degree of the candidate truck vehicles; Screening out a target transport vehicle from the candidate truck vehicles according to the transport route and the expected transport time combined with the truck wear and tear degree of the candidate truck vehicles comprises: The transport route evaluation parameter is obtained according to the transport route and the expected transport time; wherein the transport route evaluation parameter is obtained by the following formula: in, J 01 represents the transport route evaluation parameters; v represents the expected average speed corresponding to the candidate truck vehicle meeting the cargo transportation requirements; sqrt Represents the square root function symbol; L Indicates the length of the transport route; S Indicates the average slope corresponding to the transportation route; λ represents the first weight factor; T e Indicates the expected shipping time; T m It represents the theoretical shortest time that the candidate vehicle can transport under ideal conditions; a Indicates the base of the preset logarithmic function; η represents a first adjustment factor, and the value range of the first adjustment factor is 0.12-0.37; μ represents the second adjustment factor, and the second adjustment factor is obtained by the following formula: in, μ represents the second regulatory factor; L Indicates the length of the transport route; a Indicates the base of the preset logarithmic function; L m Indicates the length of the slope section corresponding to the maximum slope; S Indicates the average slope corresponding to the transportation route; S b Indicates the standard deviation of the slope of the slope section of the transportation route; S max and S min They represent the maximum and minimum slope values ​​of the transport route respectively; η represents a first adjustment factor, and the value range of the first adjustment factor is 0.12-0.37; The vehicle carrying capacity evaluation parameter is obtained according to the truck wear degree of each of the candidate truck vehicles, the size and weight of each vehicle itself, and the volume and weight of the cargo; wherein the vehicle carrying capacity evaluation parameter is obtained by the following formula: in, J 02 Indicates the vehicle carrying capacity assessment parameter; D A percentage value representing the degree of truck loss corresponding to the candidate truck vehicle; δ represents a pre-trial attenuation coefficient, and the attenuation coefficient has a value range of 0.06-0.11; W g Indicates the weight of the cargo; W max Indicates the maximum load-bearing weight of the vehicle; V h Indicates the volume of cargo; V c Indicates the volume of cargo space corresponding to the size of the vehicle itself; k represents the second weight factor; ρ Indicates the penalty item used to adjust for exceeding the maximum vehicle load weight; φ represents the third regulatory factor; The expression used to adjust the penalty for exceeding the maximum vehicle load is as follows: in, ρ Indicates the penalty item used to adjust for exceeding the maximum vehicle load weight; β represents a preset baseline impact factor; γ represents a preset sensitivity parameter, and the value range of the sensitivity parameter is 0.11-0.84; W g Indicates the weight of the cargo; W max Indicates the maximum load-bearing weight of the vehicle; Furthermore, the third adjustment factor is obtained by the following formula: in, φ represents the third regulatory factor; W g Indicates the weight of the cargo; W max Indicates the maximum load-bearing weight of the vehicle; W z Indicates the own weight of the candidate truck vehicle; a Indicates the base of the preset logarithmic function; The vehicle whose transport route evaluation parameters and vehicle carrying capacity evaluation parameters meet the preset constraints is taken as the target transport vehicle; wherein the preset constraints are as follows: in, J 01 represents the transport route evaluation parameters; J 02 Indicates the vehicle carrying capacity assessment parameter; f represents a preset ratio parameter, and the ratio parameter has a value range of 0.19-0.94; When there are multiple vehicles that meet the preset constraint conditions, the transport vehicle corresponding to the maximum value of the vehicle carrying capacity evaluation parameter is selected as the target transport vehicle.

2. The integrated management method for network freight industry according to claim 1 is characterized in that: The logistics terminal receives the transport order information in real time, including: Real-time monitoring of whether the transport order information has been received; When the transport order information is received, the transport order information is parsed to obtain the cargo transportation requirements contained in the transport order information; wherein the cargo transportation requirements include cargo type, cargo quantity, origin, destination and expected transportation time.

3. The integrated management method for network freight industry according to claim 1 is characterized in that: When the target transport vehicle enters the transport process, the location information of the target transport vehicle is monitored in real time, and the location information is shared with the cargo owner terminal, the logistics terminal and the receiving terminal, including: When the target transport vehicle enters the transport process, the real-time position information of the target transport vehicle is obtained in real time through the positioning device; Sharing the real-time location information and data of the target transport vehicle to a satellite communication node; The satellite communication node shares the real-time location information data of the target transport vehicle with the cargo owner terminal, logistics terminal and receiving terminal.

4. An integrated management system for the online freight industry, characterized in that: The integrated management system for the network freight industry includes: Order information receiving module, used for logistics terminal to receive transportation order information in real time; A target transport vehicle acquisition module is used to acquire cargo transport requirements according to the transport order information, and determine the target transport vehicle according to the cargo transport requirements and the current transport vehicle type combined with the constraint relationship satisfied by the transport route evaluation parameters and the vehicle carrying capacity evaluation parameters; A data sharing module is used to monitor the location information of the target transport vehicle in real time when the target transport vehicle enters the transport process, and share the location information with the cargo owner terminal, the logistics terminal and the receiving terminal; The target transport vehicle acquisition module includes: The transport vehicle information extraction module is used to extract the transport vehicle information currently in the library, wherein the transport vehicle includes the type of truck, the size of the truck, the weight of the truck and the degree of wear and tear of the truck; the degree of wear and tear of the truck is an indicator reflecting the use and maintenance status of the transport vehicle; A truck type determination module, used to determine the truck type according to the cargo type; A candidate truck vehicle acquisition module is used to select a truck size and a truck weight that match the quantity and weight of the cargo from the truck type according to the quantity and weight of the cargo, and acquire a candidate truck vehicle; A target transport vehicle determination module, used to select a target transport vehicle from the candidate truck vehicles according to the transport route and expected transport time combined with the truck wear degree of the candidate truck vehicles; The target transport vehicle determination module comprises: A transport route evaluation parameter acquisition module is used to acquire transport route evaluation parameters according to the transport route and expected transport time; The transport route evaluation parameters are obtained by the following formula: in, J 01 represents the transport route evaluation parameters; v represents the expected average speed corresponding to the candidate truck vehicle meeting the cargo transportation requirements; sqrt Represents the square root function symbol; L Indicates the length of the transport route; S Indicates the average slope corresponding to the transportation route; λ represents the first weight factor; T e Indicates the expected shipping time; T m It represents the theoretical shortest time that the candidate vehicle can transport under ideal conditions; a Indicates the base of the preset logarithmic function; η represents a first adjustment factor, and the value range of the first adjustment factor is 0.12-0.37; μ represents the second adjustment factor, and the second adjustment factor is obtained by the following formula: in, μ represents the second regulatory factor; L Indicates the length of the transport route; a Indicates the base of the preset logarithmic function; L m Indicates the length of the slope section corresponding to the maximum slope; S Indicates the average slope corresponding to the transportation route; S b Indicates the standard deviation of the slope of the slope section of the transportation route; S max and S min They represent the maximum and minimum slope values ​​of the transport route respectively; η represents a first adjustment factor, and the value range of the first adjustment factor is 0.12-0.37; A vehicle carrying capacity evaluation parameter acquisition module is used to acquire vehicle carrying capacity evaluation parameters according to the truck wear degree of each of the candidate truck vehicles, the size and weight of each vehicle itself, and the volume and weight of the cargo; The vehicle carrying capacity evaluation parameter is obtained by the following formula: in, J 02 Indicates the vehicle carrying capacity assessment parameter; D A percentage value representing the degree of truck loss corresponding to the candidate truck vehicle; δ represents a pre-trial attenuation coefficient, and the attenuation coefficient has a value range of 0.06-0.11; W g Indicates the weight of the cargo; W max Indicates the maximum load-bearing weight of the vehicle; V h Indicates the volume of cargo; V c Indicates the volume of cargo space corresponding to the size of the vehicle itself; k represents the second weight factor; ρ Indicates the penalty item used to adjust for exceeding the maximum vehicle load weight; φ represents the third regulatory factor; The expression used to adjust the penalty for exceeding the maximum vehicle load is as follows: in, ρ Indicates the penalty item used to adjust for exceeding the maximum vehicle load weight; β represents a preset baseline impact factor; γ represents a preset sensitivity parameter, and the value range of the sensitivity parameter is 0.11-0.84; W g Indicates the weight of the cargo; W max Indicates the maximum load-bearing weight of the vehicle; Furthermore, the third adjustment factor is obtained by the following formula: in, φ represents the third regulatory factor; W g Indicates the weight of the cargo; W max Indicates the maximum load-bearing weight of the vehicle; W z Indicates the own weight of the candidate truck vehicle; a Indicates the base of the preset logarithmic function; The first target transport vehicle screening module is used to select vehicles whose transport route evaluation parameters and vehicle carrying capacity evaluation parameters meet preset constraints as target transport vehicles; wherein the preset constraints are as follows: in, J 01 represents the transport route evaluation parameters; J 02 Indicates the vehicle carrying capacity assessment parameter; f represents a preset ratio parameter, and the ratio parameter has a value range of 0.19-0.94; The second target transport vehicle screening module is used to screen the transport vehicle corresponding to the maximum value of the vehicle carrying capacity evaluation parameter as the target transport vehicle when there are multiple vehicles that meet the preset constraint conditions.

5. The integrated management system for online freight industry according to claim 4, characterized in that: The order information receiving module includes: Real-time monitoring module, used to monitor in real time whether the transportation order information has been received; The cargo transportation requirement acquisition module is used to parse the transportation order information when it receives the transportation order information, and obtain the cargo transportation requirements contained in the transportation order information; wherein the cargo transportation requirements include cargo type, cargo quantity, starting place, destination and expected transportation time.

6. The integrated management system for online freight industry according to claim 4, characterized in that: The data sharing module includes: A real-time positioning module is used to obtain the real-time position information of the target transport vehicle through a positioning device when the target transport vehicle enters the transport process; A first data sharing module is used to share the real-time location information of the target transport vehicle to a satellite communication node; The second data sharing module is used for the satellite communication node to share the real-time location information data of the target transport vehicle to the cargo owner terminal, the logistics terminal and the receiving terminal.

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