Pull management system for data integration

Abstract

The invention discloses a pulling management system for data integration. The pulling management system comprises an interface management platform; a visual configuration module; a real-time monitoring and early warning module; an internal communication mechanism module; an inventory management module; a delay early warning module; and a data sharing and display module. According to the invention, the inventory management module updates inventory information in real time to replace a manual inventory process, so that human errors are reduced. Meanwhile, the system automatically records inventory changes, the consistency and accuracy of information are ensured, and the overall management level is improved; the time nodes of the operation links are monitored through the delay early warning module, the system can immediately give out early warning when the process is abnormal, and related persons in charge are helped to quickly process problems, so that economic losses caused by delay are reduced; through efficient data processing and real-time monitoring, resource waste in warehouse operation is reduced, and the overall operation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of warehousing logistics and transportation, and in particular to a data-integrated pull management system. Background Art

[0002] With the rapid development of modern logistics and warehousing management, enterprises are facing increasing complexity and efficiency requirements. In the process of warehouse logistics operations, efficient management of business links such as stocking, reloading, and labeling is directly related to the efficiency and cost control of the overall operation. However, many companies currently still rely on traditional information processing methods in these links and lack effective information systems for real-time monitoring and management, leading to a series of problems.

[0003] First, the inefficiency of information transmission from warehouse management to replacement equipment stocking has significantly increased the communication cost. At present, operators mainly rely on non-systematic methods such as documents, WeChat groups or telephones to transmit information. In particular, when there is a shortage of stock at the replacement site, personnel need to contact the warehouse management through WeChat or telephone to prepare the stock. This lag in information transmission not only increases the complexity of manual operation, but also prolongs the response time of stocking, resulting in the phenomenon of untimely delivery of parts. Secondly, in the process of returning to the replacement, the return personnel lack timely confirmation means for the stocking status of the goods to be returned, and often need to go to the site in person for inspection. This lack of information sharing has led to a decrease in operating efficiency, increased the workload of operators, and easily caused potential errors and delays. In addition, the inventory status of parts at the replacement site cannot be monitored in real time. The existing manual inventory method is not only inefficient, but also prone to human errors, affecting the accuracy and timeliness of inventory. In this case, managers cannot obtain the progress of each link in real time, lack the necessary data support, and make the basis for management decisions weak. Finally, each operation link lacks effective system assistance and delay warning functions. Managers cannot intuitively view the progress of each link, resulting in potential delays and problems that cannot be identified and handled in a timely manner. This not only affects the smoothness of the overall logistics operation, but also has a negative impact on the customer's delivery experience. Summary of the invention

[0004] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] In a first aspect, the present invention provides a data-integrated pull management system, comprising:

[0007] Interface management platform: responsible for processing external interface requests. The platform supports requests in multiple data formats and communication protocols to ensure seamless connection of data flows.

[0008] Visual configuration module: responsible for defining data models and business logic. Users can perform visual configuration by dragging and clicking, and perform data modeling, form design, and report generation. The system provides intelligent prompts to help users avoid configuration errors or data conflicts.

[0009] Real-time monitoring and early warning module: By real-time monitoring of the data flow of each operation link, detect abnormal conditions in system operation, and record all key operations through operation logs;

[0010] Internal communication mechanism module: Each module works together through the internal IoT mechanism to ensure data consistency among modules;

[0011] Inventory management module: real-time update of inventory information, replacing the manual inventory process;

[0012] Delay warning module: monitors the time nodes of each operation link in warehouse logistics. If there is a process delay or abnormality, the system will automatically issue a warning message to prompt the relevant responsible person to handle it as soon as possible;

[0013] Data sharing and display module: supports real-time data sharing between different positions.

[0014] As a preferred solution of the data integrated pull management system described in the present invention, the real-time monitoring and early warning module specifically includes:

[0015] Data acquisition unit: responsible for obtaining real-time data from the system;

[0016] Monitoring engine unit: Analyzes and processes the collected data to determine whether the current operating status meets expectations;

[0017] Warning processing unit: When the monitoring engine unit detects an abnormality, the warning processing unit will trigger the corresponding warning notification.

[0018] As a preferred solution of the data integrated pull management system of the present invention, the data acquisition unit includes:

[0019] Sensor interface: Connect with IoT sensors and devices in the warehouse;

[0020] System interface: communicate with other internal system modules and collect real-time operation data;

[0021] Data preprocessor: cleans, converts formats and aggregates collected data.

[0022] As a preferred solution of the data integrated pull management system of the present invention, the monitoring engine unit includes:

[0023] Rule base: stores predefined monitoring rules and thresholds to determine whether anomalies occur;

[0024] Real-time analysis engine: analyzes current data based on the rule base and historical data;

[0025] Historical data comparison: The engine compares current data with historical operation records to identify potential trends and risks.

[0026] As a preferred solution of the data integrated pull management system described in the present invention, the early warning processing unit includes:

[0027] Notification Policy Manager: Determines the recipients and methods of sending warning notifications based on the exception type and priority;

[0028] Notification channel interface: responsible for connecting with external messaging systems;

[0029] Warning level classification: The abnormalities are classified into different levels according to their severity.

[0030] As a preferred solution of the data integrated pull management system described in the present invention, the visualization configuration module includes:

[0031] User interface unit: provides a user-friendly graphical interface that allows users to configure via drag-and-drop operations;

[0032] Data model management unit: manages user-defined data models and supports version control and model library functions;

[0033] Configuration verification unit: ensures the validity of the configuration entered by the user and reduces configuration errors;

[0034] Data interaction and storage unit: responsible for data interaction with external systems and persistent storage of configurations.

[0035] As a preferred solution of the data-integrated pull management system described in the present invention, the inventory management module includes a real-time update unit and an inventory early warning unit. The real-time update unit realizes automatic real-time update of inventory data by integrating with the warehouse operation system. When the inventory is lower than the set threshold, the inventory early warning unit triggers an early warning and notifies relevant personnel to replenish the stock.

[0036] As a preferred solution of the data integrated pull management system described in the present invention, the system adopts containerized deployment of each module and adopts a microservice architecture.

[0037] In a second aspect, the present invention provides a pull management method for data integration, which specifically includes:

[0038] S1. The user first defines the specific data model and operation logic of each business process in the visual configuration module;

[0039] S2. The interface management platform receives requests from other systems or users, performs data transmission and authority verification, and ensures the legitimacy of the request;

[0040] S3, the interface management platform receives requests from other systems or users, performs data transmission and authority verification, and ensures the legitimacy of the request;

[0041] S4, stocking, returning and changing equipment and other operations are automatically allocated and coordinated through the data sharing and display module to ensure information synchronization and real-time updating in each link.

[0042] Beneficial effects of the present invention:

[0043] 1. The inventory management module of this system updates inventory information in real time, replacing the manual inventory process and reducing the occurrence of human errors. At the same time, the system automatically records inventory changes to ensure the consistency and accuracy of information and improve the overall management level.

[0044] 2. By monitoring the time nodes of the operation links through the delay warning module, the system can immediately issue a warning when an abnormality occurs in the process, helping the relevant responsible persons to quickly deal with the problem, thereby reducing the economic losses caused by delays.

[0045] 3. The automated nature of the system reduces the complexity of manual operations and reduces the waste of human resources. At the same time, through efficient data processing and real-time monitoring, it reduces the waste of resources in warehouse operations, thereby improving overall operational efficiency.

[0046] 4. The modular design of this system enables each module to be updated and maintained independently, reducing the complexity and risk of system upgrades. It also supports rapid deployment and expansion, and can flexibly respond to future business changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0048] Figure 1 This is a system architecture diagram of a data-integrated pull management system proposed by the present invention. DETAILED DESCRIPTION

[0049] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0050] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0051] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0052] Secondly, the present invention is described in detail with reference to the schematic diagram. When describing the embodiments of the present invention in detail, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0053] Reference Figure 1 The present invention provides a data-integrated pull management system, comprising:

[0054] Interface management platform: responsible for processing external interface requests. The interface management platform has preset interface mapping and permission policies to ensure that only authorized requests can access the system. The platform supports requests in multiple data formats and communication protocols to ensure seamless connection of data flows.

[0055] Visual configuration module: responsible for defining data models and business logic. Users can perform visual configuration by dragging and clicking, and perform data modeling, form design, and report generation. The system provides intelligent prompts to help users avoid configuration errors or data conflicts.

[0056] Real-time monitoring and early warning module: By real-time monitoring of the data flow of each operation link, detect abnormal conditions in system operation, and record all key operations through operation logs;

[0057] Internal communication mechanism module: Each module works together through the internal IoT mechanism to ensure data consistency between modules. The communication mechanism adopts an efficient data transmission protocol to reduce data delay and optimize system processing performance.

[0058] Inventory management module: real-time update of inventory information, replacing the manual inventory process; when the parts inventory changes, the system automatically records and displays the current inventory status, supports real-time inventory query from the restocking stage, and ensures that relevant personnel can be notified in time to proceed to the next step after stocking is completed;

[0059] Delay warning module: monitors the time nodes of each operation link in warehouse logistics. If there is a process delay or abnormality such as stocking timeout, the system will automatically issue a warning message to prompt the relevant responsible person to handle it as soon as possible;

[0060] Data sharing and display module: supports real-time data sharing between different positions. Managers can view the operation progress, inventory status, and delay warnings generated by the system in each link of the warehouse through a visual interface, helping managers make decisions and schedule more efficiently.

[0061] The real-time monitoring and early warning modules specifically include:

[0062] Data acquisition unit: responsible for obtaining real-time data from the system;

[0063] Monitoring engine unit: Analyzes and processes the collected data to determine whether the current operating status meets expectations;

[0064] Early warning processing unit: When the monitoring engine unit finds an abnormality, the early warning processing unit will trigger the corresponding early warning notification. Through the joint collaboration of multiple sub-units, it can realize real-time collection, analysis, anomaly detection and early warning notification of data in the warehouse business process.

[0065] Furthermore, the data acquisition unit includes:

[0066] Sensor interface: connects to IoT sensors and devices in the warehouse to collect real-time data in the physical environment, such as inventory, temperature and humidity, and equipment status;

[0067] System interface: communicate with other internal system modules and collect real-time operation data;

[0068] Data preprocessor: cleans, converts and aggregates the collected data to prepare for subsequent analysis.

[0069] Furthermore, the monitoring engine unit includes:

[0070] Rule base: stores predefined monitoring rules and thresholds, such as inventory minimum limit, equipment abnormality standard, and task timeout standard, to determine whether an abnormality has occurred;

[0071] Real-time analysis engine: Analyzes current data based on the rule base and historical data to determine whether there are inventory shortages, task delays, or abnormal equipment fault lights;

[0072] Historical data comparison: The engine compares current data with historical operation records to identify potential trends and risks.

[0073] Furthermore, the early warning processing unit includes:

[0074] Notification Policy Manager: Determines the recipients and methods of sending warning notifications based on the exception type and priority;

[0075] Notification channel interface: responsible for connecting with external messaging systems and notifying relevant personnel through SMS, email, APP push, etc.

[0076] Warning level classification: The abnormalities are classified into different levels according to their severity.

[0077] Furthermore, the visualization configuration module includes:

[0078] User Interaction Interface Unit: Provides a user-friendly graphical interface that allows users to configure through drag-and-drop operations, allowing users to create and edit data models, supporting multiple data types and structures, and defining business logic rules in a graphical manner, supporting condition setting and decision tree construction;

[0079] Data model management unit: manages user-defined data models, supports version control and model library functions, stores defined data models, supports model search and preview, tracks historical versions of data models, and supports rollback and comparison functions;

[0080] Configuration verification unit: ensures the validity of the configuration input by the user, reduces configuration errors, checks whether the data format input by the user meets the requirements, such as data type, length, etc., checks the rationality of the business logic, ensures the logical relationship is correct, and avoids conflicts or contradictions;

[0081] Data interaction and storage unit: responsible for data interaction with external systems and persistent storage of configurations.

[0082] Furthermore, the inventory management module includes a real-time update unit and an inventory warning unit. The real-time update unit integrates with the warehouse operation system to realize automatic real-time update of inventory data and reduce manual operations. When the inventory is lower than the set threshold, the inventory warning unit triggers an alarm and notifies relevant personnel to replenish the stock.

[0083] Furthermore, the system uses containerized deployment of each module. The system adopts a microservice architecture. All modules are run through containers to ensure a consistent environment and easy deployment, so that each module can be independently deployed, expanded and updated. At the same time, the system modules are loosely coupled through the microservice architecture to ensure module independence. Each microservice has an independent life cycle, and there is no need to restart the entire system when upgrading a service.

[0084] This embodiment also provides a pull management method for data integration, which specifically includes:

[0085] S1. The user first defines the specific data model and operation logic of each business process in the visual configuration module. The system provides intelligent prompts to avoid human errors;

[0086] S2. The interface management platform receives requests from other systems or users, performs data transmission and authority verification, and ensures the legitimacy of the request;

[0087] S3, the interface management platform receives requests from other systems or users, performs data transmission and authority verification, and ensures the legitimacy of the request;

[0088] S4, stocking, returning and changing equipment and other operations are automatically allocated and coordinated through the data sharing and display module to ensure information synchronization and real-time updating in each link.

[0089] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A data-integrated pull management system, characterized in that: include: Interface management platform: responsible for processing external interface requests. The platform supports requests in multiple data formats and communication protocols to ensure seamless connection of data flows. Visual configuration module: responsible for defining data models and business logic. Users can perform visual configuration by dragging and clicking, and perform data modeling, form design, and report generation. The system provides intelligent prompts to help users avoid configuration errors or data conflicts. Real-time monitoring and early warning module: By real-time monitoring of the data flow of each operation link, detect abnormal conditions in system operation, and record all key operations through operation logs; Internal communication mechanism module: Each module works together through the internal IoT mechanism to ensure data consistency among modules; Inventory management module: real-time update of inventory information, replacing the manual inventory process; Delay warning module: monitors the time nodes of each operation link in warehouse logistics. If there is a process delay or abnormality, the system will automatically issue a warning message to prompt the relevant responsible person to handle it as soon as possible; Data sharing and display module: supports real-time data sharing between different positions.

2. A data integrated pull management system according to claim 1, characterized in that: The real-time monitoring and early warning module specifically includes: Data acquisition unit: responsible for obtaining real-time data from the system; Monitoring engine unit: Analyzes and processes the collected data to determine whether the current operating status meets expectations; Warning processing unit: When the monitoring engine unit detects an abnormality, the warning processing unit will trigger the corresponding warning notification.

3. A data integrated pull management system according to claim 2, characterized in that: The data acquisition unit comprises: Sensor interface: Connect with IoT sensors and devices in the warehouse; System interface: communicate with other internal system modules and collect real-time operation data; Data preprocessor: cleans, converts formats and aggregates collected data.

4. A data integrated pull management system according to claim 3, characterized in that: The monitoring engine unit comprises: Rule base: stores predefined monitoring rules and thresholds to determine whether anomalies occur; Real-time analysis engine: analyzes current data based on the rule base and historical data; Historical data comparison: The engine compares current data with historical operation records to identify potential trends and risks.

5. A data integrated pull management system according to claim 4, characterized in that: The early warning processing unit comprises: Notification Policy Manager: Determines the recipients and methods of sending warning notifications based on the exception type and priority; Notification channel interface: responsible for connecting with external messaging systems; Warning level classification: The abnormalities are classified into different levels according to their severity.

6. A data integrated pull management system according to claim 5, characterized in that: The visualization configuration module includes: User interface unit: provides a user-friendly graphical interface that allows users to configure via drag-and-drop operations; Data model management unit: manages user-defined data models and supports version control and model library functions; Configuration verification unit: ensures the validity of the configuration entered by the user and reduces configuration errors; Data interaction and storage unit: responsible for data interaction with external systems and persistent storage of configurations.

7. A data integrated pull management system according to claim 6, characterized in that: The inventory management module includes a real-time update unit and an inventory warning unit. The real-time update unit realizes automatic real-time update of inventory data by integrating with the warehouse operation system. When the inventory is lower than the set threshold, the inventory warning unit triggers an alarm and notifies relevant personnel to replenish the stock.

8. The data integrated pull management system according to claim 7, characterized in that: The system adopts containerization to deploy each module, and the system adopts a microservice architecture.

9. A data-integrated pull management method, based on a data-integrated pull management system according to any one of claims 1 to 8, characterized in that: Specifically include: S1. The user first defines the specific data model and operation logic of each business process in the visual configuration module; S2. The interface management platform receives requests from other systems or users, performs data transmission and authority verification, and ensures the legitimacy of the request; S3, the interface management platform receives requests from other systems or users, performs data transmission and authority verification, and ensures the legitimacy of the request; S4, stocking, returning and changing equipment and other operations are automatically allocated and coordinated through the data sharing and display module to ensure information synchronization and real-time updating in each link.

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