CN117236835A - Intelligent logistics sharing center management system - Google Patents
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Abstract
The application relates to the technical field of logistics and discloses an intelligent logistics sharing center management system which comprises a central control module, wherein the central control module is connected with a database module, the central control module is used for controlling the whole system, the database module is used for processing logistics related information, the database module is connected with a monitoring and tracking module, the monitoring and tracking module is used for acquiring real-time data and transportation state information in the logistics process, the monitoring and tracking module is connected with a planning and optimizing module, and the planning and optimizing module is used for being based on logistics data and related constraint conditions. The logistics route is optimized in real time through the analysis control planning and optimizing module of the central control module, so that a better route can be selected according to actual conditions, and timely early warning and notification can be provided, abnormal conditions of some logistics can be avoided, and more guarantees are added for logistics safety.
Description
Technical Field
The application relates to the technical field of logistics, in particular to an intelligent logistics sharing center management system.
Background
The intelligent logistics sharing center management system is a management software system specific to the intelligent logistics sharing center. The intelligent logistics and sharing center management system combines the concept and functions of intelligent logistics and sharing center management, and aims to provide efficient logistics resource sharing and optimizing operation management. Through wisdom commodity circulation sharing center management system, the operator can manage shared commodity circulation resource better, improves the utilization ratio of resource, optimizes commodity circulation transportation and storage process, provides more high-efficient, accurate and sustainable commodity circulation service. Meanwhile, the system can provide convenient resource subscription and use experience for members, and improves user satisfaction.
The management system of the intelligent logistics sharing center in the prior art is well established, but still has some problems, such as incapability of replacing logistics routes in real time according to actual conditions during transportation, thus possibly delaying time due to road problems, and further causing goods to arrive on time, thereby reducing the satisfaction degree of customers.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides the intelligent logistics sharing center management system, which solves the problems that the intelligent logistics sharing center management system in the prior art cannot change a logistics route in real time according to the actual situation during transportation, so that the time is delayed due to road problems, goods cannot arrive on time, and the satisfaction degree of customers is reduced.
In order to achieve the above purpose, the application is realized by the following technical scheme: the intelligent logistics sharing center management system comprises a central control module, wherein the central control module is connected with a database module, the central control module is used for controlling the whole system, the database module is used for processing information related to logistics, the database module is connected with a monitoring and tracking module, the monitoring and tracking module is used for acquiring real-time data and transportation state information in the logistics process, the monitoring and tracking module is connected with a planning and optimizing module, the planning and optimizing module is used for automatically planning an optimal logistics route and resource allocation scheme based on logistics data and related constraint conditions, the central control module is connected with a weight limiting management module, the weight limiting management module is used for managing authority and access control of users or roles, the weight limiting management module is connected with a communication module, the communication module is used for being responsible for real-time communication, information transmission and cooperation between the system and logistics partners, the central control module is connected with a report and a decision module, the report and decision module is used for processing and analyzing logistics data, generating a visual report and providing decision support, and the central control module is connected with a prediction and early warning module, and the prediction module is used for utilizing the data and the prediction and the possible abnormal analysis and the early warning model to provide timely warning notification of the occurrence of the logistics.
Preferably, the database module includes a data receiving unit for receiving the logistics data from different channels and sources, a data storage unit for storing the received logistics data in a database, a data management unit for providing a management function for the logistics data, and a data retrieving and analyzing unit for allowing a user to retrieve desired logistics information by querying and screening conditions.
Preferably, the monitoring and tracking module comprises a global satellite navigation system, a temperature sensor, a humidity sensor, an acceleration sensor, a pressure sensor and a camera or a camera system, wherein the global satellite navigation system is used for tracking the position of a transport vehicle or goods, the temperature sensor is used for monitoring the temperature of the goods, the humidity sensor is used for detecting the humidity level around the goods, the acceleration sensor is used for detecting the acceleration change of the transport vehicle, the pressure sensor is used for monitoring the pressure change of a package or a container of the goods, and the camera or the camera system is used for shooting and recording images or videos in the transport process in real time.
Preferably, the planning and optimizing module comprises a route planning unit, a resource allocation unit, a constraint condition management unit and a performance evaluation and optimizing unit, wherein the route planning unit is used for conveying factors such as requirements, cargo attributes, traffic conditions and the like, an optimal logistics route is determined through an optimizing algorithm, the resource allocation unit is used for optimizing a resource allocation scheme through a matching and scheduling algorithm based on logistics requirements and resource availability and considering requirements and limitations of resources such as transportation means, warehouses and personnel, the constraint condition management unit is used for managing and processing constraint conditions in various logistics processes, and the performance evaluation and optimizing unit is used for evaluating performance of the executed logistics route and resource allocation scheme.
Preferably, the rights management module includes a user and role management unit for managing users and roles in the system, a rights allocation and control unit for granting rights to users or roles, an access control and audit unit for ensuring that only authorized users can access specific functions, operations or resources, a control policy and fine grain rights unit for defining and configuring control policies and fine grain rights, and a user interface and rights management unit for facilitating management of users and rights by an administrator.
Preferably, the communication module comprises a real-time communication unit, a data sharing unit, a coordination and scheduling unit and an error processing and notifying unit, wherein the real-time communication unit is used for bidirectional transmission and communication of information such as order confirmation, cargo tracking update, transportation state report and the like, the data sharing unit is used for ensuring data consistency and timeliness among the partners, the coordination and scheduling unit is used for performing coordination and scheduling work with the logistics partners, and the error processing and notifying unit is used for processing and notifying related partners.
Preferably, the report and decision module comprises a data collection and integration unit, a data analysis and mining unit, a report generation and visualization unit, a decision support unit and a user interface and interaction unit, wherein the data collection and integration unit is used for collecting and integrating logistics data from different data sources, the data analysis and mining unit is used for helping to identify transportation bottlenecks and optimize resource allocation and forecast requirements, the report generation and visualization unit is used for generating a report and a visual chart, the decision support unit is used for providing support and suggestion for a decision maker by utilizing the results generated by the data analysis and report, and the user interface and interaction unit is used for providing a user interface so that a user can interact with the system, customize the report and inquire to meet specific analysis requirements.
Preferably, the prediction early warning module comprises an abnormality detection and prediction model, a data real-time monitoring and acquisition unit and an abnormality early warning and notification unit, wherein the abnormality detection and prediction model analyzes historical logistics data by using technologies such as data analysis, machine learning, statistical model and the like, a detection and prediction model is built, the data real-time monitoring and acquisition unit is used for monitoring relevant data in the logistics process in real time, and the abnormality early warning and notification unit generates abnormality early warning and notification based on the results of the model and real-time data analysis.
Preferably, the output end of the planning and optimizing module is connected with the input end of the database module, and the output end of the central control module is connected with the input end of the planning and optimizing module.
Preferably, the input end of the central control module is connected with the output end of the operation module, and the operation module is used for controlling the system.
The application provides an intelligent logistics sharing center management system. The beneficial effects are as follows:
1. according to the application, information monitored in real time by the monitoring and tracking module is fed back to the central control module, and the logistics route is optimized in real time by the analysis control planning and optimizing module of the central control module, so that a better route can be selected according to the actual situation.
2. According to the application, the possible logistics abnormality can be predicted by utilizing the data analysis and the model through the prediction and early warning module, and timely early warning and notification are provided at the same time, so that abnormal conditions of some logistics can be avoided, the safety of transported articles is ensured, and meanwhile, the transported articles can arrive at a destination safely and timely, and more guarantees are added for logistics safety.
Drawings
FIG. 1 is a frame diagram of the present application;
FIG. 2 is a block diagram of a database module according to the present application;
FIG. 3 is a schematic diagram of a monitor and tracking module according to the present application;
FIG. 4 is a schematic diagram of a planning and optimization module according to the present application;
FIG. 5 is a schematic diagram of a right-authority management module according to the present application;
FIG. 6 is a schematic diagram of a middle limit communication module according to the present application;
FIG. 7 is a diagram of a report and decision module according to the present application;
FIG. 8 is a schematic diagram of a predictive early warning module according to the present application.
The central control module is used for controlling the central control module to control the power supply of the power supply; 2. a database module; 201. a data receiving unit; 202. a data storage unit; 203. a data management unit; 204. a data retrieval and analysis unit; 3. a monitoring and tracking module; 301. a global satellite navigation system; 302. a temperature sensor; 303. a humidity sensor; 304. an acceleration sensor; 305. a pressure sensor; 306. a camera or camera system; 4. a planning and optimizing module; 401. a route planning unit; 402. a resource allocation unit; 403. a constraint condition management unit; 404. performance evaluation and optimization unit; 5. a right-limiting management module; 501. a user and character management unit; 502. a rights allocation and control unit; 503. an access control and audit unit; 504. a control policy and fine grain authority unit; 505. a user interface and a rights management unit; 6. a communication module; 601. a real-time communication unit; 602. a data sharing unit; 603. a coordination and scheduling unit; 604. an error processing and notifying unit; 7. report and decision module; 701. a data collection and integration unit; 702. a data analysis and mining unit; 703. report generation and visualization unit; 704. a decision support unit; 705. a user interface and an interaction unit; 8. a prediction early warning module; 801. abnormality detection and prediction models; 802. the data real-time monitoring and collecting unit; 803. an abnormality early warning and notifying unit; 9. and an operation module.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Examples:
referring to fig. 1, an embodiment of the present application provides an intelligent logistics sharing central management system, which includes a central control module 1, the central control module 1 is connected to a database module 2, the central control module 1 is used for controlling the whole system, the database module 2 is used for processing information related to logistics, the database module 2 is connected to a monitoring and tracking module 3, the monitoring and tracking module 3 is used for acquiring real-time data and transportation state information in the logistics process, the monitoring and tracking module 3 is connected to a planning and optimizing module 4, the planning and optimizing module 4 is used for automatically planning an optimal logistics route and resource allocation scheme based on logistics data and related constraint conditions, the central control module 1 is connected to a weight limiting management module 5, the weight limiting management module 5 is used for managing authority and access control of users or roles, the weight limiting management module 5 is connected to a communication module 6, the communication module 6 is used for real-time communication, information transfer and cooperation between the system and logistics partners, the report and decision module 7 are used for processing and analyzing logistics data, a visual report and providing decision support, the central control module 1 is connected to a prediction and a pre-warning module 8, and the prediction module 8 is used for providing a possible abnormal pre-warning module and a warning module for timely warning and providing a warning of occurrence of the possible abnormal situation.
The database module 2 is responsible for receiving logistics data from different sources, storing it in a database and providing management and access functions to these data, by installing sensors and devices in the monitoring and tracking module 3 on the transport, warehouse or cargo package, by sensing environmental and object changes to provide real-time monitoring and tracking of the logistics transportation, the rights management module 5 can ensure that only authorized users can perform specific operations and access specific resources and reduce the risk of unauthorized access and abuse, and in addition it provides audit trail functions to help detect and prevent potential security threats, the analysis tools that report and decision module 7 can provide decision support are typically present as one module in the system, through data collection, analysis, report generation and decision support to provide in-depth understanding and decision support to logistics data, through the predictive pre-warning module 8 the logistics management system can discover and predict potential problems in advance of the occurrence of anomalies and intervene and process in time to minimize the impact and risk to the logistics process. This can improve the reliability of the logistics operation, ensure customer satisfaction, and optimize the efficiency of logistics management.
Referring to fig. 2, the database module 2 includes a data receiving unit 201, a data storage unit 202, a data management unit 203 and a data retrieving and analyzing unit 204, wherein the data receiving unit 201 is used for receiving logistic data from different channels and sources, the data storage unit 202 is used for storing the received logistic data in a database, the data management unit 203 is used for providing a management function for the logistic data, and the data retrieving and analyzing unit 204 is used for allowing a user to retrieve required logistic information through inquiring and screening conditions.
The data receiving unit 201 can send to the database module through an interface, AP I or other data transmission modes, and the data storage unit 202 ensures the integrity and security of the data. Databases may use relational databases, non-relational databases, etc., and appropriate database types may be selected according to particular needs, the data management unit 203 providing management functions for the logistics data, such as addition, modification, deletion and querying of data, including order management, cargo information, vendor information, transportation records, etc., to enable comprehensive control and management of the logistics process, and the data retrieval and analysis unit 204 allows users to retrieve desired logistics information through query and screening conditions, and may include some analysis functions, such as report generation, data visualization and statistical analysis, to support decision making and business optimization.
Referring to fig. 3, the monitoring and tracking module 3 includes a global satellite navigation system 301, a temperature sensor 302, a humidity sensor 303, an acceleration sensor 304, a pressure sensor 305, and a camera or a camera system 306, wherein the global satellite navigation system 301 is used for tracking the position of a transportation vehicle or goods, the temperature sensor 302 is used for monitoring the temperature of the goods, the humidity sensor 303 is used for detecting the humidity level around the goods, the acceleration sensor 304 is used for detecting the acceleration change of the transportation vehicle, the pressure sensor 305 is used for monitoring the pressure change of the package or container of the goods, and the camera or the camera system 306 is used for capturing and recording images or videos in the transportation process in real time.
Real-time geolocation information is provided by global satellite navigation system 301, proper temperature conditions are ensured to be maintained during transportation, such as keeping cold or frozen state in cold chain logistics, humidity sensor 303 is used for detecting humidity level around goods to prevent the goods from being wetted or damaged, acceleration sensor 304 is used for identifying potential collision or abnormal transportation, pressure sensor 305 is used for timely finding leakage or damage condition, and camera or camera system 306 is used for shooting and recording images or videos during transportation in real time to provide visual monitoring and evidence recording.
Referring to fig. 4, the planning and optimization module 4 includes a route planning unit 401, a resource allocation unit 402, a constraint condition management unit 403, and a performance evaluation and optimization unit 404, where the route planning unit 401 determines an optimal logistics route through an optimization algorithm based on factors such as transportation demands, cargo properties, traffic conditions, etc., the resource allocation unit 402 optimizes a resource allocation scheme through a matching and scheduling algorithm considering demands and limitations of resources such as transportation means, warehouse, personnel, etc., and the performance evaluation and optimization unit 404 is used to evaluate performance of the logistics route and the resource allocation scheme that has been executed.
The route planning unit 401 determines the optimal logistics route by an optimization algorithm based on factors such as transportation demand, cargo properties, traffic conditions, etc., which may include a shortest path algorithm, a genetic algorithm, a simulated annealing algorithm, etc. The algorithm considers factors such as traffic jams, road conditions, distances, time, cost and the like to achieve maximization of transportation efficiency and optimization of cost, and the resource allocation unit 402 optimizes the allocation scheme of the resources through matching and scheduling algorithms based on logistics requirements and resource availability and considering requirements and limitations of the resources such as transportation means, warehouses, personnel and the like. This may involve algorithms for linear programming, integer programming, load optimization, etc. The constraint condition management unit 403 is used for managing and processing constraint conditions in various logistics processes, such as transportation timeliness, capacity limitation, cargo attribute requirement and the like, by reasonably distributing and utilizing resources, thereby realizing the maximum utilization of transportation resources and the improvement of benefits. The route and resource allocation scheme is dynamically adjusted according to different logistics requirements and constraints to meet the constraints and optimize the transportation efficiency, and the performance evaluation and optimization unit 404 is used to evaluate the performance of the logistics route and resource allocation scheme that has been performed, such as indexes of actual transportation time, cost, customer satisfaction, etc. The results can be used to optimize the algorithm and model iterations to continuously improve the quality and effectiveness of logistics planning and resource allocation.
Referring to fig. 5, the rights management module 5 includes a user and role management unit 501, a rights allocation and control unit 502, an access control and audit unit 503, a control policy and fine grain rights unit 504 and a user interface and rights management unit 505, the user and role management unit 501 being for managing users and roles in the system, the rights allocation and control unit 502 being responsible for granting rights to users or roles, the access control and audit unit 503 being for ensuring that only authorized users can access specific functions, operations or resources, the control policy and fine grain rights unit 504 being for defining and configuring control policies and fine grain rights, the user interface and rights management unit 505 being for facilitating management of users and rights by an administrator.
The user and role management unit 501 is used to handle registration, authentication, and authentication of a user and assign the user to different roles or authority groups. An administrator may create, edit, and delete users and roles and assign an appropriate level of authority to each role, and the role of the authority assignment and control unit 502 may be to selectively assign different authorities to different users or roles according to business needs and security policies. These rights may be access rights to specific functions, operations, data or system resources, the access control and auditing unit 503 ensuring that the user needs to be properly authenticated and authorized before performing sensitive operations. In addition, it can record user's operation and access log for audit and security monitoring, control policy and fine granularity authority unit 504 allows administrator to control user's access authority according to different levels and specific conditions, e.g. based on factors such as role, department, time range, geographical location, etc., accurate authority control and distribution can be achieved, user interface and authority management unit 505 includes functions of creating and editing user, distributing role, configuring authority, viewing authority structure, audit of user activity, etc
Referring to fig. 6, the communication module 6 includes a real-time communication unit 601, a data sharing unit 602, a coordination and scheduling unit 603, and an error processing and notification unit 604, wherein the real-time communication unit 601 is used for bidirectional transmission and communication of information such as order confirmation, cargo tracking update, transportation status report, etc., the data sharing unit 602 is used for ensuring data consistency and timeliness among partners, the coordination and scheduling unit 603 is used for performing coordination and scheduling work with logistics partners, and the error processing and notification unit 604 is used for processing and notifying related partners.
The real-time communication unit 601 performs real-time data exchange and communication with the logistics partner through different communication modes and protocols. This may include bi-directional transfer and interaction of information such as order confirmation, cargo tracking updates, transportation status reports, etc., by the data sharing unit 602 acting to share logistics data with logistics partners, such as orders, cargo information, transportation plans, etc., which may be implemented by a data interface or protocol, ensuring data consistency and timeliness between partners, the coordination and scheduling unit 603 being able to negotiate and schedule an optimal transportation scheme, to allocate and schedule transportation resources, etc. according to cargo requirements and transportation capabilities, the error handling and notification unit 604 may be responsible for handling and notifying related partners, such as for order changes or transportation delays, and to timely notify related parties and to handle the respective handling, when errors or anomalies occur during the communication.
Referring to fig. 7, the report and decision module 7 includes a data collection and integration unit 701, a data analysis and mining unit 702, a report generation and visualization unit 703, a decision support unit 704 and a user interface and interaction unit 705, wherein the data collection and integration unit 701 is used for collecting and integrating logistics data from different data sources, the data analysis and mining unit 702 is used for helping to identify transportation bottlenecks, optimize resource allocation and forecast requirements, the report generation and visualization unit 703 is used for generating a report and a visual chart, the decision support unit 704 provides support and suggestion for a decision maker by using the results generated by the data analysis and report, and the user interface and interaction unit 705 is used for providing a user interface so that a user can interact with the system, customize the report and query to meet specific analysis requirements.
The data collection and integration unit 701 is used to collect and integrate logistics data, including order data, shipping records, inventory information, and the like, from different data sources. This may involve processing operations such as data extraction, data cleansing, data conversion, etc., and the data analysis and mining unit 702 may analyze the logistics data using techniques such as statistical analysis, data mining, machine learning, etc., mining patterns, trends, and association rules in the data. This may help identify transportation bottlenecks, optimize resource allocation, forecast demand, etc., and the report generation and visualization unit 703 is responsible for generating reports and visualization charts. This may include various types of reports such as shipping costs, shipping time, inventory levels, customer satisfaction, etc. The visual charts may be presented in the form of charts, images or maps, etc. so that the user intuitively understands and interprets the data and the decision support unit 704 can generate insights and suggestions based on the analysis results, the system can generate insights and suggestions to help the decision maker make more intelligent logistics decisions, optimize the transportation plan and resource allocation, and the user interface and interaction unit 705 can provide a user interface so that the user can interact with the system, customize reports and queries to meet specific analysis requirements. This may include interactive report generation, query construction, predefined report templates, and the like.
Referring to fig. 8, the prediction early-warning module 8 includes an anomaly detection and prediction model 801, a data real-time monitoring and collecting unit 802, and an anomaly early-warning and notifying unit 803, where the anomaly detection and prediction model 801 analyzes historical logistics data by using techniques such as data analysis, machine learning, and statistical model, and establishes a detection and prediction model, the data real-time monitoring and collecting unit 802 is used for monitoring relevant data in the logistics process in real time, and the anomaly early-warning and notifying unit 803 generates anomaly early-warning and notification based on the results of the model and real-time data analysis.
The anomaly detection and prediction model 801 analyzes the historical logistics data using techniques such as data analysis, machine learning, and statistical model, and establishes anomaly detection and prediction models that can predict possible anomalies such as delays, goods losses, and system faults by monitoring and learning patterns, trends, and rules in the historical data, the data real-time monitoring and collection unit 802 is responsible for real-time monitoring of relevant data in the logistics process, such as order status, transportation status, and environmental conditions, and the like, and real-time obtaining updated data through connection with a data collection device or other data sources, and transmitting the updated data to the anomaly detection and prediction model for analysis, and the anomaly early warning and notification unit 803 can generate anomaly early warning and notification based on the results of the model and the real-time data analysis. Upon detection of a potential logistical anomaly, the system may immediately send an alarm, notify the logistical manager or interested party, and provide detailed information about the anomaly in order to take corrective action in time.
Referring to fig. 1, an output end of the planning and optimizing module 4 is connected to an input end of the database module 2, and an output end of the central control module 1 is connected to an input end of the planning and optimizing module 4.
Referring to fig. 1, an input end of a central control module 1 is connected to an output end of an operation module 9, and the operation module 9 is used for controlling a system.
Although embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the application, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. An intelligent logistics shared center management system comprises a central control module (1), and is characterized in that the central control module (1) is connected with a database module (2), the central control module (1) is used for controlling the whole system, the database module (2) is used for processing logistics related information, the database module (2) is connected with a monitoring tracking module (3), the monitoring tracking module (3) is used for acquiring real-time data and transportation state information in a logistics process, the monitoring tracking module (3) is connected with a planning and optimizing module (4), the planning and optimizing module (4) is used for automatically planning an optimal logistics route and resource allocation scheme based on logistics data and related constraint conditions, the central control module (1) is connected with a weight limiting management module (5), the weight limiting management module (5) is used for managing the authority and access control of users or roles, the weight limiting management module (5) is connected with a communication module (6), the communication module (6) is used for being responsible for real-time communication, information transfer and transportation between a system and logistics partner, the central control module (1) is used for automatically planning an optimal logistics route and resource allocation scheme based on logistics data and related constraint conditions, the central control module (7) is connected with a report form and a prediction and decision-making module (8), the prediction early warning module (8) is used for predicting possible logistic abnormality by utilizing data analysis and a model and providing timely early warning and notification.
2. The smart logistics share central management system of claim 1, wherein the database module (2) comprises a data receiving unit (201), a data storage unit (202), a data management unit (203) and a data retrieving and analyzing unit (204), the data receiving unit (201) being adapted to receive logistics data from different channels and sources, the data storage unit (202) being adapted to store the received logistics data in a database, the data management unit (203) being adapted to provide management functions for the logistics data, the data retrieving and analyzing unit (204) being adapted to allow a user to retrieve desired logistics information by querying and screening conditions.
3. The smart logistics shared center management system of claim 1, wherein the monitoring tracking module (3) comprises a global satellite navigation system (301), a temperature sensor (302), a humidity sensor (303), an acceleration sensor (304), a pressure sensor (305) and a camera or camera system (306), the global satellite navigation system (301) is used for tracking the position of a transportation vehicle or cargo, the temperature sensor (302) is used for monitoring the temperature of the cargo, the humidity sensor (303) is used for detecting the humidity level around the cargo, the acceleration sensor (304) is used for detecting the acceleration change of a transportation means, the pressure sensor (305) is used for monitoring the pressure change of a cargo package or container, and the camera or camera system (306) is used for capturing and recording images or videos during transportation in real time.
4. The intelligent logistics share center management system as claimed in claim 1, wherein the planning and optimization module (4) comprises a route planning unit (401), a resource allocation unit (402), a constraint condition management unit (403) and a performance evaluation and optimization unit (404), wherein the route planning unit (401) determines an optimal logistics route through an optimization algorithm based on factors such as transportation demands, cargo attributes, traffic conditions and the like, the resource allocation unit (402) optimizes a resource allocation scheme through a matching and scheduling algorithm considering demands and limits of resources such as transportation means, warehouses, personnel and the like based on logistics demands and resource availability, and the constraint condition management unit (403) is used for managing and processing constraints in various logistics processes, and the performance evaluation and optimization unit (404) is used for evaluating performance of the logistics route and the resource allocation scheme which have been executed.
5. The smart logistics share central management system of claim 1 wherein the rights management module (5) comprises a user and role management unit (501), a rights assignment and control unit (502), an access control and audit unit (503), a control policy and fine grain rights unit (504) and a user interface and rights management unit (505), the user and role management unit (501) for managing users and roles in the system, the rights assignment and control unit (502) being responsible for granting rights to users or roles, the access control and audit unit (503) for ensuring that only authorized users can access specific functions, operations or resources, the control policy and fine grain rights unit (504) for defining and configuring control policies and fine grain rights, the user interface and rights management unit (505) for facilitating management of users and rights by an administrator.
6. The intelligent logistics sharing central management system according to claim 1, wherein the communication module (6) comprises a real-time communication unit (601), a data sharing unit (602), a coordination and scheduling unit (603) and an error processing and notification unit (604), wherein the real-time communication unit (601) is used for bidirectional transfer and communication of information such as order confirmation, goods tracking update, transportation state report and the like, the data sharing unit (602) is used for ensuring data consistency and timeliness among partners, the coordination and scheduling unit (603) is used for performing coordination and scheduling work with logistics partners, and the error processing and notification unit (604) is used for processing and notifying related partners.
7. The smart logistics sharing central management system of claim 1, wherein the report and decision module (7) comprises a data collection and integration unit (701), a data analysis and mining unit (702), a report generation and visualization unit (703), a decision support unit (704) and a user interface and interaction unit (705), the data collection and integration unit (701) is used for collecting and integrating logistics data from different data sources, the data analysis and mining unit (702) is used for helping to identify transportation bottlenecks, optimize resource allocation and forecast requirements, the report generation and visualization unit (703) is used for generating reports and visualization charts, the decision support unit (704) is used for providing support and advice for a decision maker by using the results of the data analysis and report generation, and the user interface and interaction unit (705) is used for providing a user interface so that a user can interact with the system, customize reports and queries to meet specific analysis requirements.
8. The intelligent logistics sharing center management system as claimed in claim 1, wherein the prediction early warning module (8) comprises an abnormality detection and prediction model (801), a data real-time monitoring and collection unit (802) and an abnormality early warning and notification unit (803), the abnormality detection and prediction model (801) analyzes historical logistics data by using data analysis, machine learning, statistical model and other technologies, a detection and prediction model is built, the data real-time monitoring and collection unit (802) is used for monitoring relevant data in a logistics process in real time, and the abnormality early warning and notification unit (803) generates abnormality early warning and notification based on the results of the model and real-time data analysis.
9. The intelligent logistics sharing central management system according to claim 1, wherein the output end of the planning and optimization module (4) is connected with the input end of the database module (2), and the output end of the central control module (1) is connected with the input end of the planning and optimization module (4).
10. The intelligent logistics sharing central management system of claim 1, wherein the input end of the central control module (1) is connected with the output end of the operation module (9), and the operation module (9) is used for controlling the system.
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