Intelligent warehouse management system and method based on comprehensive logistics information technology

Abstract

The invention discloses an intelligent warehouse management system and method based on a comprehensive logistics information technology, and the system comprises an order processing module, a cargo tracking module, a distribution management module, a data safety module, a visual management module, an Internet of Things communication module, an automatic warehouse management module, and a customer feedback service module. Through automatic and intelligent equipment, manual operation is reduced, warehousing and distribution efficiency is improved, RFID, GPS and sensor technologies are used, real-time monitoring of goods and vehicles is achieved, transparency of the logistics process is guaranteed, and through big data analysis and machine learning technologies, the logistics efficiency is improved. The system can predict demands, optimize inventory and distribution paths, reduce cost and resource waste, ensure security of sensitive data in the system by adopting data encryption and authority management, and improve customer satisfaction through timely order confirmation, accurate distribution and an effective customer feedback mechanism.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent warehouse management systems, and specifically to an intelligent warehouse management system and method thereof based on comprehensive logistics information technology. Background Art

[0002] Integrated logistics information technology refers to the use of information technology (IT) and communication technology (CT) to optimize and integrate the overall process of logistics activities, including but not limited to bar code and QR code technology, radio frequency identification (RFID), global positioning system (GPS), warehouse management system (WMS), transportation management system (TMS), Internet of Things (I oT) and big data analysis.

[0003] Among them, intelligent warehouse management refers to a system that uses advanced information technology and automation technology to improve warehouse operation efficiency and management level. Its development has gone through several key stages. At the beginning, it mainly relied on manual operation and manual record-keeping, which was inefficient and error-prone. Then, automated equipment such as conveyor belts and automatic sorting systems were introduced to reduce manual intervention and improve efficiency. Later, WMS and TMS systems were used to manage warehousing and transportation through software systems, improve information flow and management efficiency, and finally developed into an integrated Internet of Things, big data, artificial intelligence and other technologies to achieve comprehensive intelligent management of warehousing, including the widespread use of smart devices, real-time monitoring and data-driven decision support.

[0004] Comprehensive logistics information technology provides the necessary technical support and infrastructure for intelligent warehousing management. Intelligent warehousing management relies on the application of comprehensive logistics information technology to achieve efficient, precise and automated management. These technologies work together to realize the informatization, transparency and intelligence of the entire logistics process, optimize logistics resource allocation and operation processes, and improve overall efficiency and customer satisfaction.

[0005] Generally, the existing traditional warehouse management still requires a large amount of manual operation of the warehouse management system platform, which is prone to human errors, low efficiency, untimely information updates, information asymmetry and management chaos, lack of real-time monitoring methods, and inability to grasp the status of goods and vehicles in a timely manner. Goods are prone to loss or delivery delays. Due to the lack of support from big data and intelligent algorithms, effective route optimization and inventory management cannot be carried out, resulting in waste of resources and increased costs, and it is impossible to quickly respond to customer needs and feedback, making it difficult to improve service quality and low customer satisfaction.

[0006] In summary, it is necessary to propose an intelligent warehousing management system and its method based on comprehensive logistics information technology to solve the above problems. Summary of the invention

[0007] The purpose of the present invention is to provide an intelligent warehouse management system and method based on comprehensive logistics information technology to solve the problems raised in the above-mentioned background technology.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] An intelligent warehouse management system based on comprehensive logistics information technology includes an order processing module, a cargo tracking module, a distribution management module, a data security module, a visualization management module, an Internet of Things communication module, an automated warehouse management module, and a customer feedback service module. The order processing module is used for order management and order tracking, the cargo tracking module is used for cargo positioning and cargo flow monitoring, the distribution management module is used for path optimization and distribution vehicle management, the data security module is used for data encryption and access control, the visualization management module is used for dashboard display, anomaly detection, and provision of alarm systems and preventive measures, the Internet of Things communication module is used for equipment connection and remote control, the automated warehouse management module is used for automated equipment control, warehouse optimization, environmental data collection and environmental control, and the customer feedback service module is used for customer feedback collection and service optimization.

[0010] Preferably, the order processing module further includes an order management unit and an order tracking unit;

[0011] The order management unit is used to receive and process customer orders, confirm order details and generate order records;

[0012] The order tracking unit is used to track the order status in real time and provide a visual display of the order processing progress.

[0013] Preferably, the cargo tracking module further comprises a cargo positioning unit and a cargo flow monitoring unit;

[0014] The cargo positioning unit uses GPS and RFID technology to locate the cargo position, and is used to update the cargo position data in real time;

[0015] The cargo flow monitoring unit is used to monitor the flow of cargo in the warehouse to ensure that the cargo is at the correct time and place.

[0016] Preferably, the delivery management module further includes a route optimization unit and a delivery vehicle management unit;

[0017] The route optimization unit uses an algorithm to optimize the delivery route and reduce the delivery time and cost;

[0018] The delivery vehicle management unit is used to manage and dispatch delivery vehicles and monitor vehicle status and driving trajectory.

[0019] Preferably, the data security module further includes a data encryption unit and an access control unit;

[0020] The data encryption unit is used to encrypt sensitive data to ensure the security of data transmission and storage;

[0021] The access control unit controls the user's access rights to system data through authority management to prevent unauthorized access.

[0022] Preferably, the visual management module further includes a dashboard display unit, an alarm system unit, an anomaly detection unit and a preventive measures unit;

[0023] The dashboard display unit displays key system indicators and data through the dashboard, which is used to visually display the logistics operation status;

[0024] The alarm system unit is used to monitor the system status in real time and provide abnormal situation alarms and processing suggestions;

[0025] The anomaly detection unit uses machine learning and big data analysis to detect anomalies in system operation, including cargo damage and delays;

[0026] The preventive measures unit proposes preventive measures based on historical data and predictive analysis to reduce the probability of abnormal situations occurring.

[0027] Preferably, the Internet of Things communication module further includes a device connection unit and a remote control unit;

[0028] The device connection unit is used to realize the connection and data exchange of smart devices, sensors and other physical objects;

[0029] The remote control unit is used to achieve remote monitoring and control of hardware equipment and optimize warehouse management.

[0030] Preferably, the automated warehouse management module further includes an automated equipment control unit, a warehouse optimization unit, an environmental data acquisition unit and an environmental control unit;

[0031] The automation equipment control unit is used to control automated storage equipment such as robots and conveyor belts to achieve automatic storage and retrieval of goods;

[0032] The storage optimization unit optimizes storage layout and management through data analysis to improve storage efficiency;

[0033] The environmental data acquisition unit is used to collect temperature and humidity environmental data in the warehouse through sensors;

[0034] The environmental control unit is used to automatically adjust the environmental conditions in the warehouse according to the environmental data to ensure that the storage conditions of the goods meet the requirements.

[0035] Preferably, the customer feedback service module further comprises a customer feedback collection unit and a service optimization unit;

[0036] The customer feedback collection unit is used to collect customer feedback on order processing and delivery links;

[0037] The service optimization unit improves the logistics service based on customer feedback to improve customer satisfaction. Based on the above system, the present invention also proposes an intelligent warehouse management method, including the following steps:

[0038] S1. Order reception and processing: the customer submits an order in the system, the system receives the order information, confirms the order details, generates and records the order information, and sends an order confirmation notification to the customer;

[0039] S2. Cargo preparation and positioning: the system prepares cargo according to order information, uses GPS and RFID technology to locate cargo, and updates cargo location data;

[0040] S3. Monitoring the flow of goods in the warehouse, monitoring the flow of goods in the warehouse to ensure that the goods are moved at the right time and place;

[0041] S4. Delivery route optimization, using optimization algorithms to calculate the best delivery route, allocate and schedule delivery vehicles, and generate delivery plans;

[0042] S5. Delivery vehicle management and monitoring: real-time monitoring of the status and driving trajectory of delivery vehicles to ensure that delivery vehicles perform delivery tasks according to optimized routes;

[0043] S6. Real-time data security management, encrypting all sensitive data in the system and controlling user access rights to data through permission management;

[0044] S7. Visual monitoring and alarm, using dashboards to display key system indicators and data, real-time monitoring of system status, detection of abnormal situations, and providing abnormal situation alarms and handling suggestions;

[0045] S8. Preventive measures and improvements, propose preventive measures based on historical data and predictive analysis, and implement preventive measures to reduce the occurrence of abnormal situations;

[0046] S9. Intelligent device connection and control, connecting intelligent devices, sensors and other physical objects, realizing data exchange, remotely monitoring and controlling hardware equipment, and optimizing warehouse management;

[0047] S10. Automated equipment management and optimization, control automated warehousing equipment including robots and conveyor belts, realize automatic storage and retrieval of goods, optimize warehouse layout and management through data analysis, and improve warehouse efficiency;

[0048] S11. Environmental data collection and control: collect temperature and humidity environmental data in the warehouse, and automatically adjust the environmental conditions in the warehouse according to the environmental data to ensure that the storage conditions of the goods meet the requirements;

[0049] S12. Customer feedback and service improvement: collect customer feedback on order processing and delivery, improve logistics services based on customer feedback, and enhance customer satisfaction.

[0050] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention reduces manual operations and improves the efficiency of warehousing and distribution through automated and intelligent equipment; uses RFID, GPS and sensor technologies to achieve real-time monitoring of goods and vehicles, ensuring the transparency of the logistics process; and through big data analysis and machine learning technologies, can predict demand, optimize inventory and distribution routes, reduce costs and waste of resources; uses data encryption and authority management to ensure the security of sensitive data within the system; and improves customer satisfaction through timely order confirmation, accurate distribution and an effective customer feedback mechanism. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a topological diagram of the intelligent warehouse management system based on comprehensive logistics information technology of the present invention;

[0052] Figure 2 It is a flow chart of the intelligent warehouse management method of the present invention; DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] Example 1

[0055] See also Figure 1 , the present invention proposes an intelligent warehouse management system based on comprehensive logistics information technology, including an order processing module, a cargo tracking module, a distribution management module, a data security module, a visualization management module, an Internet of Things communication module, an automated warehouse management module and a customer feedback service module;

[0056] Among them, it should be noted that this system performs order management and order tracking through the order processing module, performs cargo positioning and cargo flow monitoring through the cargo tracking module, performs route optimization and distribution vehicle management through the distribution management module, performs data encryption and access control through the data security module, performs dashboard display, anomaly detection and provides alarm systems and preventive measures through the visualization management module, performs equipment connection and remote control through the Internet of Things communication module, performs automated equipment control, warehousing optimization, environmental data collection and environmental control through the automated warehousing management module, and performs customer feedback collection and service optimization through the customer feedback service module.

[0057] It should also be noted that the order processing module of the present system also includes an order management unit and an order tracking unit. The order management unit is used to receive and process customer orders, confirm order details and generate order records, and the order tracking unit is used to track order status in real time and provide a visual display of order processing progress.

[0058] It should also be noted that the cargo tracking module of the present system also includes a cargo positioning unit and a cargo flow monitoring unit. The cargo positioning unit uses GPS and RFID technology to locate the cargo position and is used to update the cargo position data in real time. The cargo flow monitoring unit is used to monitor the flow of cargo within the warehouse to ensure that the cargo is at the correct time and place.

[0059] It should also be noted that the distribution management module of this system also includes a path optimization unit and a distribution vehicle management unit. The path optimization unit uses algorithms to optimize distribution routes and reduce distribution time and costs. The distribution vehicle management unit is used to manage and dispatch distribution vehicles and monitor vehicle status and driving trajectory.

[0060] It should also be noted that the data security module of this system also includes a data encryption unit and an access control unit. The data encryption unit is used to encrypt sensitive data to ensure the security of data transmission and storage. The access control unit controls the user's access rights to system data through permission management to prevent unauthorized access.

[0061] It should also be noted that the visualization management module of this system also includes a dashboard display unit, an alarm system unit, an anomaly detection unit and a preventive measures unit. The dashboard display unit displays the key indicators and data of the system through the dashboard, which is used to visualize the logistics operation status. The alarm system unit is used to monitor the system status in real time, provide abnormal situation alarms and processing suggestions. The anomaly detection unit uses machine learning and big data analysis to detect abnormal situations in system operation, including cargo damage and delays. The preventive measures unit proposes preventive measures based on historical data and predictive analysis to reduce the probability of abnormal situations.

[0062] It should also be noted that the IoT communication module of this system also includes a device connection unit and a remote control unit. The device connection unit is used to realize the connection and data exchange of smart devices, sensors and other physical objects, and the remote control unit is used to realize remote monitoring and control of hardware equipment and optimize warehouse management.

[0063] It should also be noted that the automated warehouse management module of the system also includes an automated equipment control unit, a warehouse optimization unit, an environmental data acquisition unit and an environmental control unit. The automated equipment control unit is used to control automated warehouse equipment such as robots and conveyor belts to achieve automatic storage and retrieval of goods. The warehouse optimization unit optimizes warehouse layout and management through data analysis to improve warehouse efficiency. The environmental data acquisition unit is used to collect temperature and humidity environmental data in the warehouse through sensors. The environmental control unit is used to automatically adjust the environmental conditions in the warehouse according to the environmental data to ensure that the storage conditions of the goods meet the requirements.

[0064] It should also be noted that the customer feedback service module of this system also includes a customer feedback collection unit and a service optimization unit. The customer feedback collection unit is used to collect customer feedback on order processing and delivery, and the service optimization unit improves logistics services based on customer feedback to improve customer satisfaction.

[0065] Example 2

[0066] See also Figure 2 In practical applications, based on the above system, the present invention also proposes an intelligent warehouse management method, which specifically includes the following steps:

[0067] S1: Order receiving and processing:

[0068] The customer submits an order on the front end of the web or mobile application system, and uses HTTP requests to send order information to the server. The server receives the order request, uses the REST API to confirm the order details, and uses the MySQL database to record the order information. The system sends an order confirmation notification to the customer via email or SMS gateway;

[0069] S2: Cargo preparation and positioning:

[0070] According to the order information, the system calls the WMS warehouse management software to generate a picking list. The automated equipment prepares the goods according to the list and uses the GPS module and RFID reader to locate the goods. The positioning data is transmitted to the central server through the MQTT Internet of Things protocol. The system updates the goods location data in the database and uses a two-phase submission data synchronization algorithm to ensure data consistency.

[0071] S3: Monitoring of goods flow in the warehouse:

[0072] Use RFID readers and sensor networks to monitor the flow of goods. Data is uploaded in real time via the Zigbee wireless transmission protocol. Use the Hadoop big data analysis platform to process monitoring data and generate reports on the flow of goods. Use the random forest machine learning model to detect abnormal flow of goods. The system generates alerts based on the detection results.

[0073] S4: Delivery route optimization:

[0074] The Dijkstra optimization algorithm is used to calculate the best delivery route. The system calls the Google Maps API to obtain traffic data, uses the branch and bound method to allocate delivery vehicles, generates a delivery plan, stores the delivery plan in the database, and sends plan notifications to relevant personnel via email or text messages.

[0075] S5: Delivery vehicle management and monitoring:

[0076] The vehicle status is monitored using the on-board GPS device, and the data is transmitted to the central server through the 4G / 5G network. The system uses Traccar to record the vehicle's driving trajectory, and the data is stored in the time series database InfluxDB. Droo ls is used to detect vehicle abnormalities, and the system generates alarm notifications;

[0077] S6: Real-time data security management:

[0078] Use AES to encrypt sensitive data to ensure data security during transmission and storage. Use RBAC to manage user permissions. The system uses OAuth 2.0 to authenticate users. Use ELK Stack to record data access logs and monitor and analyze log data in real time.

[0079] S7: Visual monitoring and alarm:

[0080] Use Grafana to display key system indicators and data, generate visual dashboards, use Nagi os to monitor system status in real time, the system detects abnormal situations, uses PagerDuty to provide abnormal situation alarms, and the system generates processing suggestions;

[0081] S8: Preventive measures and improvements:

[0082] Use Amazon Redshift to analyze historical data, generate analysis reports, use ARIMA to perform predictive analysis, identify potential problems, propose preventive measures based on the analysis results, and systematically record and track the implementation of preventive measures;

[0083] S9: Smart device connection and control:

[0084] Use AWS IoT to connect smart devices and sensors to exchange data between devices, use TeamViewer IoT to remotely monitor devices and optimize device operations, and use MQTT to ensure real-time updates of device data and system data consistency.

[0085] S10: Automated equipment management and optimization:

[0086] Use PLC to control storage equipment to achieve automatic storage and retrieval of goods. Use Tableau to analyze storage layout, propose layout optimization plans, implement optimization plans, improve storage efficiency, and systematically record and track optimization results.

[0087] S11: Environmental data collection and control:

[0088] Use environmental sensors to collect environmental data such as temperature and humidity, and transmit the data to the central server through the Internet of Things protocol. Use Azure IoT to analyze environmental data and generate environmental reports. Use BMS to automatically adjust the warehouse environment based on the data to ensure that the storage conditions of goods meet the requirements.

[0089] S12: Customer Feedback and Service Improvement:

[0090] Use Zendesk to collect customer feedback, record feedback, use NLTK to analyze feedback data, identify service improvement points, improve logistics services based on analysis results, and systematically record and track the implementation of service optimization measures.

[0091] In summary, the system and method of the present invention achieve the following advantages:

[0092] 1. Efficient management: Through automation and intelligent equipment, manual operations are reduced and the efficiency of warehousing and distribution is improved;

[0093] 2. Real-time monitoring: Using RFID, GPS and sensor technology, real-time monitoring of goods and vehicles is achieved, ensuring the transparency of the logistics process;

[0094] 3. Data-driven decision-making: Through big data analysis and machine learning technology, it is possible to predict demand, optimize inventory and distribution routes, and reduce costs and resource waste;

[0095] 4. Safe and reliable: Data encryption and permission management are used to ensure the security of sensitive data in the system;

[0096] 5. Improved customer satisfaction: Customer satisfaction is improved through timely order confirmation, accurate delivery and effective customer feedback mechanism.

[0097] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent warehouse management system based on comprehensive logistics information technology, including order processing module, cargo tracking module, distribution management module, data security module, visual management module, Internet of Things communication module, automated warehouse management module and customer feedback service module, characterized in that: The order processing module is used for order management and order tracking, the cargo tracking module is used for cargo positioning and cargo flow monitoring, the distribution management module is used for route optimization and distribution vehicle management, the data security module is used for data encryption and access control, the visualization management module is used for dashboard display, anomaly detection and providing alarm systems and preventive measures, the Internet of Things communication module is used for device connection and remote control, the automated warehousing management module is used for automated equipment control, warehousing optimization, environmental data collection and environmental control, and the customer feedback service module is used for customer feedback collection and service optimization.

2. The intelligent warehouse management system based on comprehensive logistics information technology according to claim 1 is characterized by: The order processing module also includes an order management unit and an order tracking unit; The order management unit is used to receive and process customer orders, confirm order details and generate order records; The order tracking unit is used to track the order status in real time and provide a visual display of the order processing progress.

3. The intelligent warehouse management system based on comprehensive logistics information technology according to claim 2 is characterized by: The cargo tracking module also includes a cargo positioning unit and a cargo flow monitoring unit; The cargo positioning unit uses GPS and RFID technology to locate the cargo position, and is used to update the cargo position data in real time; The cargo flow monitoring unit is used to monitor the flow of cargo in the warehouse to ensure that the cargo is at the correct time and place.

4. The intelligent warehouse management system based on comprehensive logistics information technology according to claim 3 is characterized by: The delivery management module also includes a route optimization unit and a delivery vehicle management unit; The route optimization unit uses an algorithm to optimize the delivery route and reduce the delivery time and cost; The delivery vehicle management unit is used to manage and dispatch delivery vehicles and monitor vehicle status and driving trajectory.

5. The intelligent warehouse management system based on comprehensive logistics information technology according to claim 4 is characterized by: The data security module also includes a data encryption unit and an access control unit; The data encryption unit is used to encrypt sensitive data to ensure the security of data transmission and storage; The access control unit controls the user's access rights to system data through authority management to prevent unauthorized access.

6. The intelligent warehouse management system based on comprehensive logistics information technology according to claim 5 is characterized by: The visual management module also includes a dashboard display unit, an alarm system unit, an anomaly detection unit and a preventive measures unit; The dashboard display unit displays key system indicators and data through the dashboard, which is used to visually display the logistics operation status; The alarm system unit is used to monitor the system status in real time and provide abnormal situation alarms and processing suggestions; The anomaly detection unit uses machine learning and big data analysis to detect anomalies in system operation, including cargo damage and delays; The preventive measures unit proposes preventive measures based on historical data and predictive analysis to reduce the probability of abnormal situations occurring.

7. The intelligent warehouse management system based on comprehensive logistics information technology according to claim 6 is characterized by: The IoT communication module also includes a device connection unit and a remote control unit; The device connection unit is used to realize the connection and data exchange of smart devices, sensors and other physical objects; The remote control unit is used to achieve remote monitoring and control of hardware equipment and optimize warehouse management.

8. The intelligent warehouse management system based on comprehensive logistics information technology according to claim 7 is characterized by: The automated warehouse management module also includes an automated equipment control unit, a warehouse optimization unit, an environmental data acquisition unit, and an environmental control unit; The automation equipment control unit is used to control automated storage equipment such as robots and conveyor belts to achieve automatic storage and retrieval of goods; The storage optimization unit optimizes storage layout and management through data analysis to improve storage efficiency; The environmental data acquisition unit is used to collect temperature and humidity environmental data in the warehouse through sensors; The environmental control unit is used to automatically adjust the environmental conditions in the warehouse according to the environmental data to ensure that the storage conditions of the goods meet the requirements.

9. The intelligent warehouse management system based on comprehensive logistics information technology according to claim 8 is characterized by: The customer feedback service module also includes a customer feedback collection unit and a service optimization unit; The customer feedback collection unit is used to collect customer feedback on order processing and delivery links; The service optimization unit improves logistics services based on customer feedback to enhance customer satisfaction.

10. Intelligent warehouse management method, according to any one of claims 1-9, the intelligent warehouse management system based on comprehensive logistics information technology, characterized in that: The following steps are involved: S1. Order reception and processing: the customer submits an order in the system, the system receives the order information, confirms the order details, generates and records the order information, and sends an order confirmation notification to the customer; S2. Cargo preparation and positioning: the system prepares cargo according to order information, uses GPS and RFID technology to locate cargo, and updates cargo location data; S3. Monitoring the flow of goods in the warehouse, monitoring the flow of goods in the warehouse to ensure that the goods are moved at the right time and place; S4. Delivery route optimization, using optimization algorithms to calculate the best delivery route, allocate and schedule delivery vehicles, and generate delivery plans; S5. Delivery vehicle management and monitoring: real-time monitoring of the status and driving trajectory of delivery vehicles to ensure that delivery vehicles perform delivery tasks according to optimized routes; S6. Real-time data security management, encrypting all sensitive data in the system and controlling user access rights to data through permission management; S7. Visual monitoring and alarm, using dashboards to display key system indicators and data, real-time monitoring of system status, detection of abnormal situations, and providing abnormal situation alarms and handling suggestions; S8. Preventive measures and improvements, propose preventive measures based on historical data and predictive analysis, and implement preventive measures to reduce the occurrence of abnormal situations; S9. Intelligent device connection and control, connecting intelligent devices, sensors and other physical objects, realizing data exchange, remotely monitoring and controlling hardware equipment, and optimizing warehouse management; S10. Automated equipment management and optimization, control automated warehousing equipment including robots and conveyor belts, realize automatic storage and retrieval of goods, optimize warehouse layout and management through data analysis, and improve warehouse efficiency; S11. Environmental data collection and control: collect temperature and humidity environmental data in the warehouse, and automatically adjust the environmental conditions in the warehouse according to the environmental data to ensure that the storage conditions of the goods meet the requirements; S12. Customer feedback and service improvement: collect customer feedback on order processing and delivery, improve logistics services based on customer feedback, and enhance customer satisfaction.

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