Intelligent logistics park vehicle scheduling optimization system

Abstract

The invention discloses an intelligent logistics park vehicle scheduling optimization system. The system comprises a vehicle positioning module, a data analysis module, a monitoring module, a vehicle scheduling optimization module and a communication module. The vehicle positioning module is used for acquiring position information of each vehicle in the intelligent logistics park in real time; the data analysis module is used for analyzing the position information of the vehicle in real time to obtain a vehicle scheduling plan; the monitoring module is used for monitoring the running state of vehicles in the intelligent logistics park in real time; the vehicle scheduling optimization module is used for carrying out scheduling optimization on the vehicles in the intelligent logistics park according to the vehicle scheduling plan and the running states of the vehicles; and the communication module is used for connecting communication equipment between the intelligent logistics park vehicle management system and the vehicle to realize real-time instruction transmission and vehicle information feedback. According to the invention, the efficiency and accuracy of logistics park vehicle management and scheduling can be improved, and a better traffic safety guarantee is provided.

Description

Technical Field

[0001] The present invention belongs to the technical field of vehicle management, and in particular relates to a vehicle dispatching optimization system for an intelligent logistics park. Background Art

[0002] With the rapid development of the logistics industry, the scale of logistics parks is constantly expanding, and the number of transport vehicles is also increasing. The traditional management method of transport vehicles in logistics parks mainly relies on manual scheduling management, which is difficult to cope with the growing management needs and has shown many problems in efficiency and cost.

[0003] Regarding the dispatching and management of transport vehicles in logistics parks, the existing methods, processes and existing problems can be described as follows: manual dispatching of transport vehicles cannot be automated and intelligent, resulting in a cumbersome and inefficient vehicle dispatching process; at the same time, due to the lag in information transmission, transport vehicle dispatching often cannot respond to changes in transport demand in a timely manner, increasing transport costs.

[0004] In addition, when manually inspecting the routes of transport vehicles within the logistics park, it is impossible to achieve all-round real-time monitoring, which makes it difficult to promptly discover and effectively handle safety problems that arise during the current transportation process.

[0005] In logistics parks, there are many types and numbers of transport vehicles, including trucks, forklifts and pallet trucks, and each type of vehicle has different management requirements and standards. Therefore, the existing technology lacks standardized and normalized methods for transport vehicle management, and the utilization efficiency of different types of vehicles is therefore low, posing a high safety hazard.

[0006] In summary, how to apply the advantages of the development of information technology to realize automated and intelligent transportation vehicle scheduling management in logistics parks, improve management efficiency and reduce transportation costs is an urgent problem that needs to be solved by technical personnel in the current logistics industry. Summary of the invention

[0007] In order to solve the above technical problems, the present invention proposes an intelligent logistics park vehicle scheduling optimization system, which can improve the efficiency and accuracy of logistics park vehicle management and scheduling and provide better traffic safety protection.

[0008] To achieve the above-mentioned purpose, the present invention provides a vehicle dispatch optimization system for an intelligent logistics park, comprising: a vehicle positioning module, a data analysis module, a monitoring module, a vehicle dispatch optimization module and a communication module;

[0009] The vehicle positioning module is used to obtain the location information of each vehicle in the intelligent logistics park in real time;

[0010] The data analysis module is used to analyze the vehicle's location information in real time and obtain a vehicle dispatch plan;

[0011] The monitoring module is used to monitor the operating status of vehicles in the intelligent logistics park in real time;

[0012] The vehicle scheduling optimization module is used to optimize the scheduling of vehicles in the intelligent logistics park according to the vehicle scheduling plan and the operating status of the vehicles;

[0013] The communication module is used to connect the communication equipment between the intelligent logistics park vehicle management system and the vehicle to achieve real-time command transmission and vehicle information feedback.

[0014] Optionally, the vehicle positioning module includes: a GPS positioning unit and a track recording unit;

[0015] The GPS positioning unit is used to obtain accurate location information of the vehicle using GPS;

[0016] The track recording unit is used to record the driving track of the vehicle.

[0017] Optionally, the data analysis module includes: a data collection unit, a data storage unit and an analysis unit;

[0018] The data collection unit is used to collect the location information;

[0019] The data storage unit is used to store the location information;

[0020] The analysis unit is used to perform real-time analysis on the vehicle's location information based on the location information and in combination with the information of the intelligent logistics park to obtain a vehicle dispatch plan.

[0021] Optionally, the information of the intelligent logistics park includes: historical vehicle operation data and park geographic data, wherein the historical vehicle operation data and park geographic data are stored in the data storage unit.

[0022] Optionally, obtaining the vehicle dispatch plan includes:

[0023] The preset dispatching rules are checked against the driving routes, and the vehicle's location information is matched with the road conditions in the smart logistics park corresponding to the driving route to determine whether the road conditions meet the driving requirements of the corresponding transport vehicles; if the driving requirements are met, the preset dispatching rules and driving routes are completed; if the driving requirements are not met, it means that the preset planning of the current driving route has failed, and no subsequent dispatching plan for the corresponding transport vehicle is formed, and the system administrator or user is prompted to change the driving route by manual intervention or automatic modification by the management system.

[0024] Optionally, the monitoring module includes: a vehicle tracking and positioning unit, a real-time data monitoring unit, an abnormal state monitoring unit and an equipment monitoring unit;

[0025] The vehicle tracking and positioning unit is used to monitor and track the real-time position of the vehicle;

[0026] The real-time data monitoring unit is used to monitor key data of the vehicle in real time;

[0027] The abnormal state monitoring unit is used to monitor the abnormal state of the vehicle;

[0028] The equipment monitoring unit is used to monitor the health status of vehicle-related equipment.

[0029] Optionally, the key data include: vehicle speed, mileage, fuel consumption and remaining fuel;

[0030] The abnormal conditions include: speeding, sudden braking, sudden acceleration and sharp turning;

[0031] The health status includes: engine temperature, brake system sensitivity and tire pressure.

[0032] Optionally, optimizing the scheduling of vehicles in the intelligent logistics park includes:

[0033] Number all transport vehicles;

[0034] The idle transport vehicles corresponding to each distribution center are obtained based on the total demand of each logistics center and the average distance of all idle transport vehicles to the logistics center;

[0035] Arrange the idle transport vehicles to the logistics center and design the distribution routes for the allocated transport vehicles.

[0036] Compared with the prior art, the present invention has the following advantages and technical effects:

[0037] The present invention can automatically adjust the dispatching rules and the routes of transport vehicles, aiming to ensure the continuity and efficiency of the logistics transportation process, avoid congestion of various types of transport vehicles within the logistics park, and greatly improve the current problems of transport vehicles in existing logistics parks.

[0038] The present invention optimizes vehicle scheduling and route planning through real-time data processing and analysis, improves the accuracy and efficiency of vehicle management in logistics parks, and can quickly discover and respond to traffic accidents and abnormal situations through real-time monitoring by the monitoring module, provide better traffic safety guarantees, reduce vehicle congestion and empty driving, improve logistics park resource utilization, and reduce logistics costs. Vehicle scheduling and route optimization can reduce vehicle waiting time and driving distance, and provide a better user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0040] Figure 1 This is a structural diagram of a vehicle dispatch optimization system for an intelligent logistics park according to an embodiment of the present invention;

[0041] Figure 2 is a structural diagram of a vehicle positioning module according to an embodiment of the present invention;

[0042] Figure 3 is a structural diagram of a data analysis module according to an embodiment of the present invention;

[0043] Figure 4 is a structural diagram of a monitoring module according to an embodiment of the present invention;

[0044] Figure 5 It is a flow chart of the vehicle scheduling optimization method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0046] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0047] The present invention proposes an intelligent logistics park vehicle dispatch optimization system. Figure 1 As shown, specifically including:

[0048] Vehicle positioning module, data analysis module, monitoring module, vehicle dispatch optimization module and communication module;

[0049] The vehicle positioning module is used to obtain the location information of each vehicle in the intelligent logistics park in real time;

[0050] The data analysis module is used to analyze the vehicle's location information in real time and obtain a vehicle dispatch plan;

[0051] The monitoring module is used to monitor the operating status of vehicles in the intelligent logistics park in real time;

[0052] The vehicle scheduling optimization module is used to optimize the scheduling of vehicles in the intelligent logistics park according to the vehicle scheduling plan and the operating status of the vehicles;

[0053] The communication module is used to connect the communication equipment between the intelligent logistics park vehicle management system and the vehicle to achieve real-time command transmission and vehicle information feedback.

[0054] Specifically, the present invention optimizes vehicle scheduling and route planning through real-time data processing and analysis, thereby improving the accuracy and efficiency of vehicle management in logistics parks. Through real-time monitoring by the monitoring module, it can quickly discover and respond to traffic accidents and abnormal situations, provide better traffic safety guarantees, reduce vehicle congestion and empty driving, improve logistics park resource utilization, and reduce logistics costs. Vehicle scheduling and route optimization can reduce vehicle waiting time and driving distance, thereby providing a better user experience.

[0055] Furthermore, if Figure 2 As shown, the vehicle positioning module includes: a GPS positioning unit and a track recording unit;

[0056] The GPS positioning unit is used to obtain accurate location information of the vehicle using GPS;

[0057] The track recording unit is used to record the driving track of the vehicle.

[0058] Specifically, GPS positioning unit: The vehicle positioning module uses the global positioning system GPS to obtain the accurate location information of the vehicle. The GPS receiver is installed on the vehicle and determines the latitude and longitude coordinates of the vehicle through satellite signals.

[0059] Track recording unit: The vehicle positioning module records the vehicle's driving track for subsequent playback or analysis, and displays detailed information such as the route, time, and speed of the vehicle. In this embodiment, the latitude and longitude coordinates of the vehicle are connected according to the vehicle's driving direction to form the vehicle's real-time driving track.

[0060] Furthermore, if Figure 3 As shown, the data analysis module includes: a data collection unit, a data storage unit and an analysis unit;

[0061] The data collection unit is used to collect the location information;

[0062] The data storage unit is used to store the location information;

[0063] The analysis unit is used to perform real-time analysis on the vehicle's location information based on the location information and in combination with the information of the intelligent logistics park to obtain a vehicle dispatch plan.

[0064] Specifically, the data collection unit also collects data from various sources, including sensors on vehicles, warehouse management systems, order management systems, traffic information, and meteorological data.

[0065] The data storage unit stores the collected data in a scalable database for subsequent analysis and query, including data backup and recovery mechanisms to ensure data security and availability.

[0066] The data analysis unit analyzes the data to discover useful information and trends, including descriptive statistics, data mining, machine learning algorithms, time series analysis, etc., to generate insights on vehicle operations, cargo tracking, cost optimization, etc.

[0067] Furthermore, the information of the intelligent logistics park includes: historical vehicle operation data and park geographic data, wherein the historical vehicle operation data and park geographic data are stored in the data storage unit.

[0068] Furthermore, obtaining the vehicle dispatch plan includes:

[0069] The preset dispatching rules are checked against the driving routes, and the vehicle's location information is matched with the road conditions in the smart logistics park corresponding to the driving route to determine whether the road conditions meet the driving requirements of the corresponding transport vehicles; if the driving requirements are met, the preset dispatching rules and driving routes are completed; if the driving requirements are not met, it means that the preset planning of the current driving route has failed, and no subsequent dispatching plan for the corresponding transport vehicle is formed, and the system administrator or user is prompted to change the driving route by manual intervention or automatic modification by the management system.

[0070] Furthermore, if Figure 4 As shown, the monitoring module includes: a vehicle tracking and positioning unit, a real-time data monitoring unit, an abnormal state monitoring unit and an equipment monitoring unit;

[0071] The vehicle tracking and positioning unit is used to monitor and track the real-time position of the vehicle;

[0072] The real-time data monitoring unit is used to monitor key data of the vehicle in real time;

[0073] The abnormal state monitoring unit is used to monitor the abnormal state of the vehicle;

[0074] The equipment monitoring unit is used to monitor the health status of vehicle-related equipment.

[0075] Specifically, vehicle tracking and positioning: the monitoring and alarm module monitors and tracks the real-time location of the vehicle by using the global positioning system, and performs subsequent status monitoring and alarm processing by obtaining the vehicle's accurate location information.

[0076] Real-time data monitoring: The monitoring and alarm module monitors various key data of the vehicle in real time, including speed, mileage, fuel consumption, temperature, etc., which are collected through on-board sensors, dashboard interfaces or other devices, and analyzed and alarmed through the system.

[0077] Abnormal state detection: The monitoring and alarm module detects abnormal states of the vehicle, such as speeding, sudden braking, sudden acceleration, sharp turns, etc. When abnormal behavior is detected, the system will issue an alarm in time and provide relevant alarm information and handling suggestions.

[0078] Equipment health monitoring: The monitoring and alarm module monitors the health status of vehicle-related equipment, such as the engine, brake system, tire pressure, etc. By monitoring the status of the equipment in real time, the system can predict potential failure conditions and issue alarm notifications when necessary.

[0079] Alarm notification and processing: When the monitoring module detects abnormal behavior or equipment failure, it will trigger an alarm notification. The alarm notification is carried out in different ways, including mobile phone text messages, emails, voice calls, etc. At the same time, the system also provides corresponding alarm processing procedures to facilitate timely response and resolution of alarm situations.

[0080] Furthermore, the vehicles in the intelligent logistics park are dispatched and optimized. Figure 5 As shown, including:

[0081] Number all transport vehicles;

[0082] The idle transport vehicles corresponding to each distribution center are obtained based on the total demand of each logistics center and the average distance of all idle transport vehicles to the logistics center;

[0083] Arrange the idle transport vehicles to the logistics center and design the distribution routes for the allocated transport vehicles.

[0084] Specifically, the idle vehicles corresponding to the distribution center are obtained according to the following formula:

[0085]

[0086] In the formula, q is the number of vehicles, λ is the adjustment coefficient, G i is the amount of feed that needs to be delivered by the i-th distribution center, θ is the time required to load one ton of feed, is the delivery distance from the jth vehicle to the i-th delivery point.

[0087] The constraints are obtained according to the following formula, and the idle vehicles are arranged to the distribution center according to the constraints:

[0088]

[0089] In the formula, the constraint condition is P, is the delivery distance from the jth vehicle to the i-th delivery point, T j is the idle time of the jth vehicle, α is the distance parameter, and β is the time parameter.

[0090] The idle vehicles allocated to the distribution center satisfy the following formula:

[0091]

[0092] In the formula, represents the load of the jth vehicle; It indicates the quantity of a feed that the i-th distribution center needs to distribute.

[0093] Randomly generate routes and match vehicles for each route;

[0094] The route is optimized iteratively based on a genetic algorithm until the convergence criterion is reached;

[0095] Randomly select routes and assign vehicles based on actual demand and vehicle conditions at each distribution center;

[0096] The total route is segmented and the objective function is derived. A genetic algorithm is applied to iterate to the optimal solution. The required path analysis is performed according to the stations that the transport vehicles need to go to. The optimal solution is obtained for all paths, and the best path is selected for distribution to obtain the length of the total route. The vehicles are allocated to multiple adjacent destinations in the total route. The demand for each destination is calculated so that the allocated vehicles meet the demand of the destination. The driving cost is calculated and the optimal path is selected. The driving cost includes the total distance of the vehicle, the waiting time at the destination and / or the empty distance of the vehicle.

[0097] The above are only preferred specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A vehicle dispatch optimization system for an intelligent logistics park, characterized in that: include: Vehicle positioning module, data analysis module, monitoring module, vehicle dispatch optimization module and communication module; The vehicle positioning module is used to obtain the location information of each vehicle in the intelligent logistics park in real time; The data analysis module is used to perform real-time analysis on the location information to obtain a vehicle dispatch plan; The monitoring module is used to monitor the operating status of vehicles in the intelligent logistics park in real time; The vehicle scheduling optimization module is used to optimize the scheduling of vehicles in the intelligent logistics park according to the vehicle scheduling plan and the operating status of the vehicles; The communication module is used to connect the communication equipment between the intelligent logistics park vehicle management system and the vehicle to achieve real-time command transmission and vehicle information feedback.

2. According to claim 1, a vehicle dispatch optimization system for an intelligent logistics park is characterized in that: The vehicle positioning module includes: a GPS positioning unit and a track recording unit; The GPS positioning unit is used to obtain accurate location information of the vehicle using GPS; The track recording unit is used to record the driving track of the vehicle.

3. According to claim 1, a vehicle dispatch optimization system for an intelligent logistics park is characterized in that: The data analysis module includes: a data collection unit, a data storage unit and an analysis unit; The data collection unit is used to collect the location information; The data storage unit is used to store the location information; The analysis unit is used to perform real-time analysis on the vehicle's location information based on the location information and in combination with the information of the intelligent logistics park to obtain a vehicle dispatch plan.

4. The intelligent logistics park vehicle dispatch optimization system according to claim 3 is characterized in that: The information of the intelligent logistics park includes: historical vehicle operation data and park geographic data, wherein the historical vehicle operation data and park geographic data are stored in the data storage unit.

5. The intelligent logistics park vehicle dispatching optimization system according to claim 3 is characterized in that: Obtaining the vehicle dispatch plan includes: The preset dispatching rules are checked against the driving routes, and the vehicle's location information is matched with the road conditions in the smart logistics park corresponding to the driving route to determine whether the road conditions meet the driving requirements of the corresponding transport vehicles; if the driving requirements are met, the preset dispatching rules and driving routes are completed; if the driving requirements are not met, it means that the preset planning of the current driving route has failed, and no subsequent dispatching plan for the corresponding transport vehicle is formed, and the system administrator or user is prompted to change the driving route by manual intervention or automatic modification by the management system.

6. The intelligent logistics park vehicle dispatch optimization system according to claim 1 is characterized in that: The monitoring module includes: a vehicle tracking and positioning unit, a real-time data monitoring unit, an abnormal state monitoring unit and an equipment monitoring unit; The vehicle tracking and positioning unit is used to monitor and track the real-time position of the vehicle; The real-time data monitoring unit is used to monitor key data of the vehicle in real time; The abnormal state monitoring unit is used to monitor the abnormal state of the vehicle; The equipment monitoring unit is used to monitor the health status of vehicle-related equipment.

7. The intelligent logistics park vehicle dispatch optimization system according to claim 6 is characterized in that: The key data include: vehicle speed, mileage, fuel consumption and remaining fuel; The abnormal conditions include: speeding, sudden braking, sudden acceleration and sharp turning; The health status includes: engine temperature, brake system sensitivity and tire pressure.

8. The intelligent logistics park vehicle dispatching optimization system according to claim 1 is characterized in that: Scheduling and optimizing vehicles in the intelligent logistics park includes: Number all transport vehicles; The idle transport vehicles corresponding to each distribution center are obtained based on the total demand of each logistics center and the average distance of all idle transport vehicles to the logistics center; Arrange the idle transport vehicles to the logistics center and design the distribution routes for the allocated transport vehicles.

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