CN117787859A - Intelligent automatic warehouse system - Google Patents
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Abstract
The invention discloses an intelligent automatic warehouse system, which relates to the technical field of warehouse systems, wherein an inventory management module monitors warehouse inventory conditions in real time, intelligently predicts inventory, a return management module is led to manage warehouse inventory operation, a data analysis module analyzes warehouse logistics data to acquire real-time inventory and warehouse access conditions, corresponding strategies and decisions are generated and sent to a power supply station, an integration module carries out compatibility integration on the inventory management module, the return management module and the data analysis module to carry out data sharing and collaborative work, data of different dimensions of each system are integrated, data consistency is ensured, the phenomenon that the operation of multiple systems of users is inconsistent with data of each end is prevented, and the accuracy of data matching is ensured by adopting a non-inductive warehouse access method according to RFID when daily business is processed. The warehouse system communicates various systems with the master station in an integrated mode and the equipment of the warehouse internet of things, so that the intelligent degree is high, and the management is convenient.
Description
Technical Field
The invention relates to the technical field of warehousing systems, in particular to an intelligent automatic warehousing system.
Background
The national network company usually has a plurality of power supply centers, each power supply center has a material warehouse, manual excel is generally adopted to record various conditions of materials, and a plurality of systems are required to be used, such as a safety tool is required to go to an air control system, a production tool/spare part is required to go to a physical resource system, a work order is required to go to a work order center system and the like;
at present, the following problems are common:
1. the information is recorded manually, including goods entering and exiting warehouse, inventory inquiry and the like, so that the efficiency is low, errors are easy to occur, and the problems of counterfeiting data and the like are easy to occur;
2. the static management mode of the warehouse and the goods lacks effective real-time monitoring and tracking, and the position, state, quantity and other information of the goods are difficult to grasp in time, so that the problems of inaccurate inventory, backlog of the goods and the like are caused;
3. the utilization rate of warehouse management is low, the problems of irregular goods placement, idle warehouse resources and the like are easy to occur, and reasonable utilization cannot be achieved;
4. the traditional warehouse management has the disadvantages of delay data processing and large workload, and particularly, some warehouse entry and exit operations need to manually input data, and are easily influenced by factors such as personnel quality, data acquisition modes and the like;
5. the warehouse is lack of intelligent means, such as automatic equipment, automatic identification technology and the like, so that efficient, accurate and safe warehouse management is difficult to realize, and the requirements of modern warehouses cannot be met;
6. due to the lack of a unified platform, staff needs to frequently switch systems to conduct material management, and all the systems are not communicated, so that the system is very inconvenient.
Disclosure of Invention
The invention aims to provide an intelligent automatic warehousing system so as to solve the defects in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: the intelligent automatic storage system comprises an inventory management module, a reception return management module, a data analysis module and an integration module;
inventory management module: the system is used for monitoring warehouse inventory conditions in real time, intelligently predicting inventory and early warning insufficient inventory, excessive inventory or outdated inventory conditions;
and the collusion return management module: the system is used for managing the operation of warehouse inventory, including warehouse entry, warehouse exit, scrapping and inventory operations of goods, and simultaneously managing warehouse exit logistics flow;
and a data analysis module: analyzing the warehouse logistics data, acquiring real-time inventory and warehouse entry conditions, generating corresponding strategies and decisions and sending the strategies and decisions to a power supply station;
and (3) an integration module: and carrying out compatibility integration on the inventory management module, the reception return management module and the data analysis module, and carrying out data sharing and cooperative work.
Preferably, the inventory management module acquires inventory data of the warehouse in real time through a warehouse management system, a sensor or a bar code scanning mode, stores the acquired inventory data in a database, identifies potential inventory problems based on historical inventory data and sales trends, and timely gives early warning notification when the inventory is insufficient, excessive or out of date.
Preferably, the inventory management module analyzes historical inventory data, identifies seasonal change and trend information of the inventory, analyzes sales trend in combination with sales data, predicts the inventory through time sequence analysis based on the historical inventory data and the sales trend, and triggers corresponding early warning according to real-time inventory data and prediction results based on preset early warning rules including insufficient inventory, excessive inventory and outdated thresholds.
Preferably, the receiving and returning management module defines a data model of warehousing and ex-warehouse, including cargo information, inventory quantity, receiving personnel information, warehousing time and ex-warehouse time, and based on a designed warehousing operation flow, including cargo information input, warehousing order generation and inventory updating steps, based on a designed ex-warehouse operation flow, including receiving applications, inventory inspection, ex-warehouse order generation and inventory updating steps, implementing authority control, enabling authorized personnel to perform ex-warehouse operation, defining a cargo scrapping flow, including scrapping applications, auditing and inventory updating steps, recording scrapping reasons and processing modes, and based on a designed inventory checking flow, including inventory checking plan generation, inventory checking personnel assignment, actual inventory checking and inventory adjustment steps, implementing timely feedback of inventory checking results and inventory correction.
Preferably, the data analysis module acquires warehouse logistics data, including stock quantity, warehouse entry records, warehouse exit records, logistics transportation information and scrapping information, the data source sources include a warehouse management system, a sensor and bar code scanning, the collected data are cleaned and converted, missing values and abnormal values are processed, the data are converted into a format suitable for analysis, the conditions of insufficient stock, excessive stock and abnormal warehouse entry and exit are timely captured based on a designed real-time monitoring mechanism, and corresponding alarm information is generated.
Preferably, the data analysis module predicts the development trend of the inventory based on the trend and seasonal change of the historical data, including analyzing the efficiency of the warehouse-in and warehouse-out operation based on the trend and seasonal change of the historical data, identifying bottlenecks and potential optimization points, optimizing the logistics flow by monitoring the warehouse-in period and processing time index, and calculating the inventory turnover rate, wherein the inventory turnover rate reflects the use efficiency and the management level of the inventory.
Preferably, the integrated module formulates a common data standard and a field naming standard, so that information is transferred between modules seamlessly, an API (application program interface) is designed for each module, authority control is implemented, and an event-driven architecture is used, so that the operation of one module triggers the corresponding operation of the other module.
Preferably, the integrated module implements a unified authentication and authorization mechanism, authorizers access and modify related data, implements a periodic data checking mechanism, performs data checking and error detection, implements detailed log records in each module, performs fault removal when problems occur, and the log comprises key operations, error information and warnings, and the designed exception handling mechanism handles the problems occurring between the modules.
In the technical scheme, the invention has the technical effects and advantages that:
1. according to the invention, a plurality of power stations are periodically synchronized and pushed in real time through the thread pool, so that the consistency of data is ensured, the efficiency of business personnel is improved, the accuracy and reliability of data integration of each system are improved, the consistency of data is ensured when the data of different dimensions of each system are integrated, the phenomenon that the operation of multiple systems of a user is inconsistent with the data of each end is prevented, and the accuracy of data matching is ensured by adopting a method of non-inductive warehouse entry and exit according to RFID (radio frequency identification) when daily business is processed. The warehouse system communicates various systems with the master station in an integrated mode and the equipment of the warehouse internet of things, so that the intelligent degree is high, and the management is convenient.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is a system frame diagram of the present invention;
FIG. 2 is a system architecture diagram of the present invention;
FIG. 3 is a schematic diagram of system communication according to the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples: referring to fig. 1-3, the intelligent automated warehouse system of the present embodiment includes a warehouse management module, a receiving and returning management module, a data analysis module, and an integration module;
inventory management module: the system is used for monitoring warehouse inventory conditions in real time, intelligently predicting inventory, early warning insufficient inventory, excessive inventory or outdated inventory and the like, avoiding the problems of stock backlog or backorder and the like, and sending inventory information to a receiving return management module, and specifically comprises the following steps:
the design mechanism is used for acquiring inventory data of the warehouse in real time, the accuracy and timeliness of the data can be ensured by a warehouse management system, a sensor, bar code scanning and the like, the acquired inventory data is stored in the database, a proper database system is selected, a large amount of inventory data can be stored and retrieved efficiently, an intelligent inventory prediction algorithm is realized, prediction can be carried out based on information such as historical inventory data and sales trend, the potential inventory problem can be identified in advance, the condition of excessive or insufficient is avoided, an early warning mechanism is designed, when the inventory is insufficient, excessive or expired, the system can send out timely early warning notification, the related personnel can be notified by means of mail, short messages, system messages and the like, the integrated inventory management module and the lead return management module can ensure that the inventory information can be pushed to the lead return management module in real time, the synchronization between the inventory management module and the lead return management module can be ensured by means of API call, message queue and the like, any change should be updated to the lead return management module in time, and related business can be ensured to operate based on the latest inventory information;
implementing entitlement control ensures that only authorized personnel can access and modify inventory information, which helps to preserve the security of the data, provides a user-friendly interface enabling warehouse administrators to easily view real-time inventory conditions, forecast results, and early warning information, which may include charts, reports, visualization tools, etc., record historical changes of inventory for backtracking and analysis, which helps to understand the cause of inventory changes, and provide data support for decision making, reporting and analysis functions, which helps management personnel to understand inventory conditions, forecast accuracy, early warning conditions, etc., which helps to improve inventory management policies, ensures that inventory management modules can be integrated with other related modules (e.g., purchasing modules, sales modules, etc.) to obtain more comprehensive information and achieve more accurate inventory management, periodically evaluates the performance of inventory management modules, optimizes and improves based on actual use conditions and feedback to ensure that the system can continuously provide valuable inventory management functions.
The inventory management module acquires inventory data of a warehouse in real time through a warehouse management system, a sensor or a bar code scanning mode, stores the acquired inventory data in a database, identifies potential inventory problems based on historical inventory data and sales trends, and timely early warning notification when the inventory is insufficient, excessive or out of date comprises the following steps:
the method comprises the steps of analyzing historical inventory data, identifying seasonal change, trend and other information of the inventory, helping to establish a proper inventory prediction model, combining sales data, analyzing sales trend, and being capable of helping to predict future sales conditions, further predicting inventory demands more accurately, realizing an inventory prediction algorithm based on the historical inventory data and the sales trend, wherein the historical inventory data and the sales trend can comprise time sequence analysis, machine learning algorithm and the like, the prediction result is helpful to discover potential inventory problems in advance, an early warning rule is set, thresholds of insufficient inventory, excessive inventory, overdue and other conditions are included, the rule is ensured to trigger corresponding early warning according to the real-time inventory data and the prediction result, a real-time monitoring mechanism is designed, whether the current inventory data and the prediction result trigger the early warning rule or not is checked regularly or in real time, the early warning notification can be sent timely when the early warning rule is triggered, and the relevant personnel can be ensured to take corresponding measures rapidly through mail, short message, system message and the like.
And the collusion return management module: the method is used for managing warehouse inventory operation, including warehouse entry, warehouse exit, scrapping, inventory and other operations, and meanwhile, the warehouse entry and exit logistics flow is improved, and the recovery efficiency is improved, specifically:
determining specific requirements of a receiving and returning management module, including the processes of operations such as warehousing, ex-warehouse, scrapping, inventory checking and the like, and the integrated requirements of other modules, defining a data model of warehousing and ex-warehouse, including goods information, inventory quantity, receiving personnel information, warehousing time, ex-warehouse time and the like, ensuring that a data structure can meet the recording and inquiring requirements of various operations, designing a warehousing operation process, including the steps of goods information input, warehouse entry generation, inventory updating and the like, and considering the technologies such as bar code scanning, RFID and the like to improve accuracy and efficiency;
designing an ex-warehouse operation flow, comprising the steps of receiving application, checking inventory, generating an ex-warehouse bill, updating inventory and the like, realizing authority control, ensuring that only authorized personnel can carry out the ex-warehouse operation, defining the flow of scrapping goods, comprising the steps of scrapping application, auditing, updating inventory and the like, recording scrapping reasons and processing modes for subsequent analysis and improvement, designing the inventory checking flow, comprising the steps of checking plan generation, checking personnel assignment, actual checking, inventory adjustment and the like, realizing timely feedback of checking results and inventory correction, considering the logistics flow of ex-warehouse and in-warehouse, ensuring that goods can safely and rapidly arrive at a warehouse from a supplier and arrive at a receiving place from the warehouse, integrating logistics information, providing real-time goods tracking and state updating, and ensuring that a receiving return management module can be integrated with other related systems (such as supply chain management, personnel management and the like) so as to ensure consistency and accuracy of information;
the method has the advantages that strict authority control is implemented, the fact that only authorized personnel can carry out operations such as warehousing, ex-warehouse and scrapping is guaranteed, misoperation and data leakage are prevented, a user-friendly interface is developed, warehouse administrators and leaders can conveniently execute various operations, inventory information and operation histories are checked, reporting and analysis functions are provided, management personnel are helped to know inventory conditions, operation efficiency and potential problems so as to make better management decisions, training materials and support are provided, and effective use of the system and proficiency of operators are guaranteed.
The receiving and returning management module defines a data model of warehousing and ex-warehouse, and comprises cargo information, inventory quantity, receiving personnel information, warehousing time and ex-warehouse time, wherein the warehousing operation flow based on design comprises cargo information input, inventory generation and inventory update steps, the ex-warehouse operation flow based on design comprises receiving application, inventory check, ex-warehouse generation and inventory update steps, authority control is realized, authorized personnel perform ex-warehouse operation, a cargo scrapping flow is defined, the scrapping application, auditing and inventory update steps are included, scrapping reasons and processing modes are recorded, and the inventory checking flow based on design comprises inventory checking plan generation, inventory personnel assignment, actual inventory checking and inventory adjustment steps, so that timely feedback and inventory correction of inventory checking results are realized, and the receiving and returning management module comprises the following steps:
1) Data model definition:
cargo information: including the name of the good, model number, vendor information, etc.
Inventory quantity: the number of each item in the current inventory is recorded.
Information of the pilot: and recording the related information of the pilot, such as the name, the job number and the like.
The warehouse-in time is as follows: and marking the warehousing time of the goods.
Time of delivery: the time of shipment of the goods is marked.
2) And (3) warehouse entry operation flow design:
and (3) cargo information input: and the related information of the new arriving goods is input into the system, wherein the related information comprises the name, the model number, the supplier information and the like of the goods.
And (3) warehouse entry list generation: the system generates a warehouse entry bill and records the information and quantity of warehoused goods.
Inventory updating: and updating the stock quantity, and adding the quantity of the newly-stocked goods to the corresponding stock record.
And (3) designing a warehouse-out operation flow:
collar application: the leader submits a lead application, including information and quantity of the desired goods.
Inventory inspection: the system checks the inventory to ensure that a sufficient number of goods are available for pickup.
And (3) generating a delivery bill: the system generates a delivery bill and records the information and quantity of the received goods.
Inventory updating: the stock quantity is updated and the amount of the received goods is subtracted from the corresponding stock record.
3) And (3) authority control:
only authorized personnel can be ensured to carry out the operation of going out of the warehouse, and the operation is realized through an identity verification and authorization mechanism.
The roles and the authorities are set, so that the leader can only perform the leading operation and can not directly modify sensitive information such as inventory quantity.
4) And (3) scrapping flow design:
application for scrapping: and submitting a goods scrapping application, wherein the goods scrapping application comprises information and reasons of scrapping goods.
Auditing: and the related personnel review the scrapped application to ensure the rationality.
Inventory updating: the stock quantity is updated and the number of rejected goods is subtracted from the corresponding stock record.
And recording the scrapping reason and the processing mode.
5) Inventory checking flow design:
and (3) inventory plan generation: the system generates an inventory count plan including the goods to be counted and the count time.
Inventory person assignment: the system assigns specific inventory personnel to be responsible for performing inventory tasks.
Actual checking: the inventorying personnel performs the actual inventory of the goods.
Inventory adjustment: and according to the inventory result, the system adjusts the inventory quantity to ensure that the inventory records are consistent with the actual inventory.
Timely feedback and inventory correction: the system feeds back the checking result in time and carries out inventory correction so as to maintain accuracy.
And a data analysis module: analyzing the warehouse logistics data, helping a power supply station to know the conditions of inventory, warehouse-in and warehouse-out and the like in real time, and generating corresponding strategies and decisions, specifically:
ensuring that the data analysis module can acquire warehouse logistics data, including stock quantity, warehouse entry records, warehouse exit records, logistics transportation information, scrapping information and the like, wherein the data sources can comprise a warehouse management system, sensors, bar code scanning and the like, cleaning and converting the collected data, processing missing values and abnormal values, converting the data into a format suitable for analysis, ensuring the accuracy and consistency of the data, designing a real-time monitoring mechanism, timely capturing the conditions of insufficient inventory, excessive inventory, abnormal warehouse exit and warehouse entry and the like, generating corresponding alarm information, helping to quickly respond to potential problems, avoiding stock backlog or backlog, using a trend analysis algorithm to help predict the development trend of the stock, and can comprise trend and seasonal change based on historical data so as to formulate a stock management strategy in advance;
analyzing efficiency of warehousing operation, identifying bottlenecks and potential optimizing points, helping to optimize logistics flow, improving warehouse operation efficiency by monitoring indexes such as warehousing period, processing time and the like, calculating inventory turnover rate, knowing dynamic conditions of inventory, wherein the inventory turnover rate is an important index which reflects use efficiency and management level of inventory, analyzing rejection rate of goods, identifying rejection high-grade goods and reasons, helping to improve purchasing strategy, reduce inventory loss, analyzing logistics path, knowing path of goods from suppliers to warehouse to final receiving site, helping to optimize logistics network, and reducing transportation cost and time;
providing interactive report forms and visual tools, enabling management personnel to intuitively know warehouse logistics data, enabling charts, graphs and dashboards to help users to find trend and key information more easily, generating corresponding inventory management strategies and decision suggestions based on analysis results, and enabling data analysis modules to be integrated with other modules such as a storage management module and a reception return management module to form a collaborative integral system, enabling performance of the data analysis modules to be evaluated regularly, and enabling the data analysis modules to be optimized and improved according to actual use conditions and feedback so as to ensure that the system can continuously provide valuable analysis results.
And (3) an integration module: the inventory management module, the lead return management module and the data analysis module are subjected to compatibility integration to realize data sharing and cooperative work, and the method specifically comprises the following steps:
ensuring that all modules use the same or compatible data formats may include formulating common data standards, field naming standards, etc. so that information can be transferred seamlessly between modules, designing a stable, secure API (application program interface) for each module, which helps to achieve data communication between modules, ensuring that the API supports reading and writing of data, and implementing appropriate rights control, using an event-driven architecture so that operation of one module can trigger corresponding operation of the other module, e.g., warehousing operations of an inventory management module may trigger real-time monitoring and analysis by a data analysis module, using message queues to achieve asynchronous communication between modules, which helps to decouple modules, improving flexibility and scalability of the system;
implementing a unified identity verification and authorization mechanism, ensuring that only authorized personnel can access and modify relevant data, can be achieved by integrating a single login system or using token verification, ensuring synchronization of data between modules, for example, when a return management module is taken to perform a delivery operation, the inventory number of the inventory management module should be updated in real time, implementing a periodic data checking mechanism, ensuring consistency and accuracy of the data, which can include data verification, error detection, etc., implementing detailed log records in each module for troubleshooting when problems occur, the log should contain critical operations, error information and warnings, designing exception handling mechanisms to cope with problems that may occur between modules, ensuring that the system can gracefully handle abnormal conditions without causing overall system crashes, performing adequate testing and verification before integration, ensuring that interactions between modules are normal, data can be properly transferred and shared, providing detailed human documents and training materials for system administrators and users to understand the operation and maintenance of the integrated modules, implementing a monitoring system, periodically checking performance of the integrated modules, optimizing according to monitoring results to ensure efficient operation of the system.
The warehouse system application is divided into a main station end and an application end, the main station content covers various signboards, various system integration, data communication and other functions, the application end is divided into an intelligent station room and a mobile application APP, the intelligent station room is provided with integrated equipment, and the intelligent station room covers services such as warehouse signboards, warehouse-in and warehouse-out, inventory, scrapping and the like; meanwhile, an access control sensor is arranged, the access control sensor is communicated with a master station in real time through the internet of things (IoT) technology, inventory is dynamically monitored, mobile Application (APP) is considered to be an outgoing staff and has operation requirements, and the function is supplemented, so that the relation is shown in the figure 1.
The master station initiates a synchronization function at regular time, synchronizes the air control system, supplies of physical resources and a work order of a work order center, and is used for integrating a source end system required to be used by a storehouse to form a unified platform, simultaneously providing corresponding stock, warehouse-in and warehouse-out, scrapping and checking interfaces for integrated calling of intelligent equipment of the storehouse, simultaneously installing access control sensing equipment on the side of the storehouse, communicating with an integrated machine of the station, directly communicating with a master station of the station by the integrated machine of the station through a special APN network card, simultaneously communicating with the integrated system after the master station receives data, and guaranteeing data synchronization of the source end, the master station and a power supply station to form a service closed loop.
Inventory management module: the system is used for monitoring warehouse inventory conditions in real time, intelligently predicting inventory and early warning insufficient inventory, excessive inventory or outdated inventory conditions;
and the collusion return management module: the system is used for managing the operation of warehouse inventory, including warehouse entry, warehouse exit, scrapping and inventory operations of goods, and simultaneously managing warehouse exit logistics flow;
and a data analysis module: analyzing the warehouse logistics data, acquiring real-time inventory and warehouse entry conditions, generating corresponding strategies and decisions and sending the strategies and decisions to a power supply station;
and (3) an integration module: and carrying out compatibility integration on the inventory management module, the reception return management module and the data analysis module, and carrying out data sharing and cooperative work.
According to the invention, a plurality of power stations are periodically synchronized and pushed in real time through the thread pool, so that the consistency of data is ensured, the efficiency of business personnel is improved, the accuracy and reliability of data integration of each system are improved, the consistency of data is ensured when the data of different dimensions of each system are integrated, the phenomenon that the operation of multiple systems of a user is inconsistent with the data of each end is prevented, and the accuracy of data matching is ensured by adopting a method of non-inductive warehouse entry and exit according to RFID (radio frequency identification) when daily business is processed. The warehouse system communicates various systems with the master station in an integrated mode and the equipment of the warehouse internet of things, so that the intelligent degree is high, and the management is convenient.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (8)
1. Intelligent automation warehouse system, its characterized in that: the system comprises an inventory management module, a collusion return management module, a data analysis module and an integration module;
inventory management module: the system is used for monitoring warehouse inventory conditions in real time, intelligently predicting inventory and early warning insufficient inventory, excessive inventory or outdated inventory conditions;
and the collusion return management module: the system is used for managing the operation of warehouse inventory, including warehouse entry, warehouse exit, scrapping and inventory operations of goods, and simultaneously managing warehouse exit logistics flow;
and a data analysis module: analyzing the warehouse logistics data, acquiring real-time inventory and warehouse entry conditions, generating corresponding strategies and decisions and sending the strategies and decisions to a power supply station;
and (3) an integration module: and carrying out compatibility integration on the inventory management module, the reception return management module and the data analysis module, and carrying out data sharing and cooperative work.
2. The intelligent automated warehousing system of claim 1 wherein: the inventory management module acquires inventory data of the warehouse in real time through a warehouse management system, a sensor or a bar code scanning mode, stores the acquired inventory data in a database, identifies potential inventory problems based on historical inventory data and sales trends, and timely gives early warning notification when the inventory is insufficient, excessive or out of date.
3. The intelligent automated warehousing system of claim 2 wherein: the inventory management module analyzes historical inventory data, identifies seasonal change and trend information of the inventory, analyzes sales trends in combination with sales data, predicts the inventory through time sequence analysis based on the historical inventory data and the sales trends, and triggers corresponding early warning according to real-time inventory data and prediction results based on set early warning rules, wherein the early warning rules comprise thresholds of insufficient inventory, excessive inventory and outdated inventory.
4. The intelligent automated warehousing system of claim 3 wherein: the receiving and returning management module defines a data model of warehousing and ex-warehouse, and comprises cargo information, inventory quantity, receiving personnel information, warehousing time and ex-warehouse time, wherein the warehousing operation flow based on design comprises cargo information input, inventory generation and inventory update steps, the ex-warehouse operation flow based on design comprises receiving application, inventory check, ex-warehouse generation and inventory update steps, authority control is realized, authorized personnel perform ex-warehouse operation, the cargo scrapping flow is defined, the scrapping application, auditing and inventory update steps are included, scrapping reasons and processing modes are recorded, and the inventory counting result timely feedback and inventory correction are realized based on the designed inventory counting flow, which comprises inventory counting plan generation, inventory personnel assignment, actual inventory counting and inventory adjustment steps.
5. The intelligent automated warehousing system of claim 4 wherein: the data analysis module acquires warehouse logistics data, wherein the warehouse logistics data comprises stock quantity, warehouse entry records, warehouse exit records, logistics transportation information and scrapping information, the data source sources comprise a warehouse management system, a sensor and bar code scanning, the collected data are cleaned and converted, missing values and abnormal values are processed, the data are converted into a format suitable for analysis, the conditions of insufficient stock, excessive stock and abnormal warehouse entry and exit are timely captured based on a designed real-time monitoring mechanism, and corresponding alarm information is generated.
6. The intelligent automated warehousing system of claim 5 wherein: the data analysis module predicts the development trend of the inventory based on the trend and seasonal change of the historical data, comprises analyzing the efficiency of the warehouse-in and warehouse-out operation based on the trend and seasonal change of the historical data, identifying bottlenecks and potential optimization points, optimizing the logistics flow by monitoring the warehouse-in period and processing time index, and calculating the inventory turnover rate which reflects the use efficiency and the management level of the inventory.
7. The intelligent automated warehousing system of claim 6 wherein: the integrated module establishes common data standard and field naming standards, enables information to be transferred between modules in a seamless mode, designs an API (application program interface) for each module, implements authority control, and uses an event-driven architecture to enable operation of one module to trigger corresponding operation of other modules.
8. The intelligent automated warehousing system of claim 7 wherein: the integrated module implements a unified identity verification and authorization mechanism, authorizers access and modify related data, implement a periodic data checking mechanism, perform data verification and error detection, implement detailed log records in each module, perform fault removal when problems occur, and the log comprises key operations, error information and warnings, and is based on a designed exception handling mechanism to cope with the problems occurring between the modules.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118052510A (en) * | 2024-04-16 | 2024-05-17 | 国网山东省电力公司莱芜供电公司 | Warehouse resource management method and system based on full-scale coding |
| CN118761713A (en) * | 2024-09-05 | 2024-10-11 | 南京云岸信息科技有限公司 | Service module mobile tool management system |
| CN118780722A (en) * | 2024-07-09 | 2024-10-15 | 广东赛斐迩物流科技有限公司 | A smart warehouse management and control system and operation method |
| CN119204965A (en) * | 2024-09-10 | 2024-12-27 | 北京铜牛曙光科技有限公司 | An intelligent inventory management method, device, medium and product |
| CN119250696A (en) * | 2024-09-19 | 2025-01-03 | 中交投数智科技(北京)股份有限公司 | Smart operation method and system of commercial complex based on digital twin and IOT |
| CN119539676A (en) * | 2024-10-30 | 2025-02-28 | 广东力迅信息技术有限公司 | A warehouse management method and system based on big data |
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| CN118052510A (en) * | 2024-04-16 | 2024-05-17 | 国网山东省电力公司莱芜供电公司 | Warehouse resource management method and system based on full-scale coding |
| CN118780722A (en) * | 2024-07-09 | 2024-10-15 | 广东赛斐迩物流科技有限公司 | A smart warehouse management and control system and operation method |
| CN118761713A (en) * | 2024-09-05 | 2024-10-11 | 南京云岸信息科技有限公司 | Service module mobile tool management system |
| CN119204965A (en) * | 2024-09-10 | 2024-12-27 | 北京铜牛曙光科技有限公司 | An intelligent inventory management method, device, medium and product |
| CN119250696A (en) * | 2024-09-19 | 2025-01-03 | 中交投数智科技(北京)股份有限公司 | Smart operation method and system of commercial complex based on digital twin and IOT |
| CN119250696B (en) * | 2024-09-19 | 2025-05-16 | 中交投数智科技(北京)股份有限公司 | Smart operation method and system of commercial complex based on digital twin and IOT |
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