Logistics warehouse volume renting request triggering system

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By using customized AI analysis models in the logistics warehouse rental request trigger system, intelligently analyzing the warehouse usage volume prediction value of the logistics company's warehouse use, solving the problem that logistics companies cannot accurately predict the warehouse usage volume, achieving more accurate rental planning, and reducing costs And improve the efficiency of warehousing management.

CN119398670AInactive Publication Date: 2025-02-07NANJING ANYULI COMMUNICATION TECHNOLOGY CO LTD

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Patent Information

Application Number: CN202411579989.6
Authority / Receiving Office: CN · China
Patent Type: Applications(China)
Current Assignee / Owner
Filing Date: 2024-11-07
Publication Date: 2025-02-07
Estimated Expiration: Not applicable · inactive patent

AI Technical Summary

Technical Problem

Logistics companies cannot accurately predict the warehouse usage volume within the future time range, resulting in an increase in the cost of renting logistics warehouses or the situation of logistics commodity explosion.

Method used

Using a customized structure AI analytical model, based on the logistics company's past warehouse usage volume and multiple related data, intelligently analyzes the warehouse usage volume prediction values within the current time interval, thereby providing reference information for the warehouse management server to uniformly allocate warehouse capacity resources.

Benefits of technology

Through intelligent analysis and prediction of warehouse usage volume, logistics companies can help them plan their rental needs more accurately, reduce rental costs, avoid logistics products from overdrafting, and improve the efficiency and reliability of warehousing management.

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Abstract

The invention relates to a logistics warehouse volume renting request triggering system, which comprises a data analysis device, a volume renting device and a volume renting device, the configuration module is used for setting various configuration contents of a logistics company by using an AI analysis model; intelligently analyzing the predicted value of the warehouse use volume corresponding to the current time interval according to the warehouse use volume corresponding to each historical time interval before the current time interval and the warehouse use volume corresponding to the time interval which is the same as the current time interval in position on the time axis on the previous day; and the request triggering device is used for triggering a warehouse volume request for the current time interval according to the predicted value. The logistics warehouse volume renting request triggering system is compact in logic and stable in operation. The prediction value of the warehouse use volume of the logistics company in the current time interval can be intelligently analyzed and set by adopting the AI analysis model based on multiple items of basic information, so that valuable reference information is provided for unified allocation of warehouse volume resources of a warehouse management server.

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Description

Technical Field

[0001] The present invention relates to the field of smart logistics, and in particular to a logistics warehouse volume rental request triggering system. Background Art

[0002] Warehousing Logistics refers to the use of self-built or leased warehouses and sites to store, keep, load and unload, and distribute goods. The traditional definition of warehousing is given from the perspective of material storage. Modern "warehousing" is not a "warehouse" or "warehouse management" in the traditional sense, but warehousing in the context of economic globalization and supply chain integration, and warehousing in the modern logistics system. In fact, some logistics companies operating in the city do not have their own logistics warehouses or their own logistics warehouses have limited capacity, and need to rent third-party logistics warehouses to maintain their normal operations.

[0003] Obviously, renting a third-party logistics warehouse requires costs. Logistics companies will try their best to reduce the volume of the third-party logistics warehouses they rent. For example, they can use the city's warehouse management server to uniformly rent and allocate logistics warehouses within the city. However, since logistics companies cannot determine the warehouse usage volume corresponding to each future time interval, they cannot determine whether they need to rent a third-party logistics warehouse in each future time interval, nor can they determine how much volume of a third-party logistics warehouse they need to rent when they need to. This can easily lead to unnecessary increases in the cost of renting logistics warehouses or cause logistics goods to be out of stock. Summary of the invention

[0004] In order to solve the technical problems in related fields, the present invention provides a logistics warehouse volume rental request trigger system, which can intelligently analyze the predicted value of the warehouse usage volume of the set logistics company in the current time period according to the past warehouse usage volume of the set logistics company and various related data of the set logistics company, thereby providing valuable reference information for the unified allocation of warehouse volume resources of the warehouse management server, wherein a customized AI analysis model is used to realize the intelligent analysis of the predicted value of the warehouse usage volume of the set logistics company in the current time period, and the AI analysis model is an echo state network obtained by multiple training of the echo state network after multiple trainings, and the number of trainings of the echo state network is monotonically positively correlated with the number of registered customers of the set logistics company, thereby Different logistics companies build AI analysis models with different structures, and also introduce sufficient and comprehensive basic data for intelligent analysis of the predicted value of the logistics company's warehouse usage volume in the current time interval. The basic data include setting various configuration contents of the logistics company, setting the warehouse usage volume corresponding to each historical time interval before the current time interval of the logistics company, and obtaining the warehouse usage volume corresponding to the time interval on the time axis of the previous day that is at the same position as the current time interval. The various configuration contents of the logistics company are the number of registered customers of the logistics company, the number of customers in activated status, the geographical area of the target city served, and the number of permanent residents in the target city, thereby ensuring the reliability and stability of the intelligent analysis results.

[0005] According to the present invention, a logistics warehouse capacity rental request triggering system is provided, the system comprising: The first capture device is used to obtain various configuration contents of the set logistics company, wherein the various configuration contents of the set logistics company are the number of registered customers of the set logistics company, the number of customers in the activated state, the geographical area of the target city served, and the number of permanent residents in the target city; The second capturing device is used to obtain the warehouse usage volumes corresponding to each historical time interval before the current time interval of the set logistics company, and to obtain the warehouse usage volumes corresponding to the time interval of the set logistics company on the previous day that is at the same position on the time axis as the current time interval; A content generation device, used to generate an AI analysis model, wherein the AI analysis model is an echo state network obtained by training the echo state network multiple times, and the number of times the echo state network is trained is monotonically positively correlated with the number of registered customers of the set logistics company; A data analysis device, connected to the first capture device, the second capture device and the content generation device, respectively, for using the AI analysis model to intelligently analyze the predicted value of the warehouse usage volume corresponding to the current time interval of the set logistics company according to various configuration contents of the set logistics company, the warehouse usage volumes corresponding to each historical time interval before the current time interval of the set logistics company, and the warehouse usage volume corresponding to the time interval of the previous day that is at the same position as the current time interval on the time axis of the set logistics company; A request triggering device, connected to the data parsing device, for triggering a warehouse capacity request for the current time interval to be sent to a warehouse management server in a target city according to a predicted value of the warehouse usage capacity corresponding to the current time interval set by the logistics company; The warehouse volume request for the current time interval is triggered to be sent to the warehouse management server of the target city according to the predicted value of the warehouse usage volume corresponding to the current time interval of the set logistics company, including: the warehouse volume request includes the predicted value of the warehouse usage volume corresponding to the current time interval of the set logistics company, the number of the set logistics company and the current time interval; Among them, triggering the warehouse volume request for the current time interval to be sent to the warehouse management server of the target city according to the predicted value of the warehouse usage volume corresponding to the current time interval of the logistics company includes: the warehouse volume request includes the predicted value of the warehouse usage volume corresponding to the current time interval of the logistics company, the number of the logistics company, and the current time interval, and includes: sending the warehouse volume request for the current time interval using a network data packet; Among them, the first capture device is used to obtain various configuration contents of the set logistics company, and the various configuration contents of the set logistics company are the number of registered customers of the set logistics company, the number of customers in activated state, the geographical area of the target city served, and the number of permanent residents in the target city, including: customers in activated state are customers who have logged in to the application corresponding to the set logistics company within a set time length.

[0006] It can be seen that the present invention mainly has the following three significant technical effects: First: intelligently analyze the predicted value of the warehouse usage volume of the logistics company in the current time period based on the past warehouse usage volume of the logistics company and various related data of the logistics company, so as to provide valuable reference information for the unified allocation of warehouse volume resources of the warehouse management server; Second: using a customized AI analysis model to realize intelligent analysis of the predicted value of the warehouse usage volume of a set logistics company in the current time interval. The AI analysis model is an echo state network obtained by training the echo state network multiple times. The number of times the echo state network is trained is monotonically positively correlated with the number of registered customers of the set logistics company, thereby building AI analysis models with different structures for different logistics companies. Third: Introduce sufficient and comprehensive multiple basic data for intelligent analysis of the predicted value of the warehouse usage volume of the logistics company in the current time interval. The multiple basic data include setting various configuration contents of the logistics company, setting the warehouse usage volume corresponding to each historical time interval before the current time interval of the logistics company, and obtaining the warehouse usage volume corresponding to the time interval of the previous day that is at the same position on the time axis as the current time interval. The various configuration contents of the logistics company are the number of registered customers of the logistics company, the number of customers in the activated state, the geographical area of the target city served, and the number of permanent residents in the target city, thereby ensuring the reliability and stability of the intelligent analysis results.

[0007] The logistics warehouse volume rental request trigger system of the present invention has compact logic and stable operation. Since the AI analysis model can be used to intelligently analyze and set the predicted value of the warehouse usage volume of the logistics company in the current time interval based on multiple basic information, it provides valuable reference information for the unified allocation of warehouse volume resources of the warehouse management server. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0009] Figure 1 Schematic diagram of the internal structure of a logistics warehouse capacity rental request triggering system according to the first embodiment of the present invention.

[0010] Figure 2 Schematic diagram of the internal structure of a logistics warehouse capacity rental request triggering system according to a second embodiment of the present invention.

[0011] Figure 3 Schematic diagram of the internal structure of a logistics warehouse capacity rental request triggering system according to the third embodiment of the present invention. DETAILED DESCRIPTION

[0012] The following is a detailed description of an embodiment of the logistics warehouse capacity rental request triggering system of the present invention with reference to the accompanying drawings.

[0013] Figure 1This is a schematic diagram of the internal structure of a logistics warehouse capacity rental request triggering system according to a first embodiment of the present invention, wherein the system comprises: The first capture device is used to obtain various configuration contents of the set logistics company, wherein the various configuration contents of the set logistics company are the number of registered customers of the set logistics company, the number of customers in the activated state, the geographical area of the target city served, and the number of permanent residents in the target city; Specifically, the first capture device is used to obtain various configuration contents of the set logistics company, and the various configuration contents of the set logistics company are the number of registered customers of the set logistics company, the number of customers in the activated state, the geographical area of the target city served, and the number of permanent residents in the target city. The first capture device can be implemented by a programmable logic chip, and is used to obtain various configuration contents of the set logistics company. The various configuration contents of the set logistics company are the number of registered customers of the set logistics company, the number of customers in the activated state, the geographical area of the target city served, and the number of permanent residents in the target city; The second capturing device is used to obtain the warehouse usage volumes corresponding to each historical time interval before the current time interval of the set logistics company, and to obtain the warehouse usage volumes corresponding to the time interval of the set logistics company on the previous day that is at the same position on the time axis as the current time interval; A content generation device, used to generate an AI analysis model, wherein the AI analysis model is an echo state network obtained by training the echo state network multiple times, and the number of times the echo state network is trained is monotonically positively correlated with the number of registered customers of the set logistics company; A data analysis device, connected to the first capture device, the second capture device and the content generation device, respectively, for using the AI analysis model to intelligently analyze the predicted value of the warehouse usage volume corresponding to the current time interval of the set logistics company according to various configuration contents of the set logistics company, the warehouse usage volumes corresponding to each historical time interval before the current time interval of the set logistics company, and the warehouse usage volume corresponding to the time interval of the previous day that is at the same position as the current time interval on the time axis of the set logistics company; A request triggering device, connected to the data parsing device, for triggering a warehouse capacity request for the current time interval to be sent to a warehouse management server in a target city according to a predicted value of the warehouse usage capacity corresponding to the current time interval set by the logistics company; The warehouse volume request for the current time interval is triggered to be sent to the warehouse management server of the target city according to the predicted value of the warehouse usage volume corresponding to the current time interval of the set logistics company, including: the warehouse volume request includes the predicted value of the warehouse usage volume corresponding to the current time interval of the set logistics company, the number of the set logistics company and the current time interval; Among them, triggering the warehouse volume request for the current time interval to be sent to the warehouse management server of the target city according to the predicted value of the warehouse usage volume corresponding to the current time interval of the logistics company includes: the warehouse volume request includes the predicted value of the warehouse usage volume corresponding to the current time interval of the logistics company, the number of the logistics company, and the current time interval, and includes: sending the warehouse volume request for the current time interval using a network data packet; The first capture device is used to obtain various configuration contents of the set logistics company, and the various configuration contents of the set logistics company are the number of registered customers of the set logistics company, the number of customers in the activated state, the geographical area of the target city served, and the number of permanent residents in the target city, including: customers in the activated state are customers who have logged into the application corresponding to the set logistics company within a set time length; Among them, obtaining the warehouse usage volumes corresponding to each historical time interval before the current time interval of the set logistics company, and obtaining the warehouse usage volumes corresponding to the time interval of the set logistics company at the same position on the time axis as the current time interval on the previous day include: the number of each historical time interval is proportional to the number of permanent residents in the target city; Among them, obtaining the warehouse usage volume corresponding to each historical time interval before the current time interval of the set logistics company, and obtaining the warehouse usage volume corresponding to the time interval of the previous day that is at the same position on the time axis as the current time interval of the set logistics company also includes: using a content mapping function to represent a content mapping relationship in which the number of each historical time interval is proportional to the permanent population of the target city.

[0014] Figure 2 Schematic diagram of the internal structure of a logistics warehouse capacity rental request triggering system according to a second embodiment of the present invention.

[0015] Compared to Figure 1 The logistics warehouse capacity rental request triggering system according to the second embodiment of the present invention may further include: An operation measurement mechanism, connected to the data analysis device, the first capture device, the second capture device and the content generation device, respectively, for measuring the number of operations per unit time of the data analysis device, the first capture device, the second capture device and the content generation device respectively; The operation measurement mechanism is connected to the data analysis device, the first capture device, the second capture device and the content generation device, respectively, and is used to measure the number of unit time operations of the data analysis device, the first capture device, the second capture device and the content generation device respectively. The operation measurement mechanism includes a plurality of operation measurement units, which are used to be connected to the data analysis device, the first capture device, the second capture device and the content generation device, respectively, so as to complete the measurement of the number of unit time operations of the data analysis device, the first capture device, the second capture device and the content generation device respectively; Wherein, the operation measurement mechanism includes a plurality of operation measurement units, which are used to be connected to the data analysis device, the first capture device, the second capture device and the content generation device respectively, so as to complete the measurement of the number of operations per unit time of the data analysis device, the first capture device, the second capture device and the content generation device respectively, including: the plurality of operation measurement units are a plurality of operation sensor circuits, which are used to be connected to the data analysis device, the first capture device, the second capture device and the content generation device respectively, so as to complete the measurement of the number of operations per unit time of the data analysis device, the first capture device, the second capture device and the content generation device respectively; The plurality of operation measurement units are a plurality of operation sensor circuits, which are respectively connected to the data analysis device, the first capture device, the second capture device and the content generation device to respectively measure the number of operations per unit time of the data analysis device, the first capture device, the second capture device and the content generation device, including: the plurality of operation sensor circuits have the same structure; And wherein, the multiple operation measurement units are multiple operation sensor circuits, which are used to be connected to the data analysis device, the first capture device, the second capture device and the content generation device respectively, so as to complete the respective measurements of the number of operations per unit time of the data analysis device, the first capture device, the second capture device and the content generation device, and also include: the multiple operation sensor circuits have the same operation measurement upper limit value and operation measurement lower limit value.

[0016] Figure 3 Schematic diagram of the internal structure of a logistics warehouse capacity rental request triggering system according to the third embodiment of the present invention.

[0017] Compared to Figure 1 The logistics warehouse capacity rental request triggering system according to the third embodiment of the present invention may further include: A base structure, disposed below the data analysis device, the first capture device, the second capture device and the content generation device, for providing bottom support services for the data analysis device, the first capture device, the second capture device and the content generation device respectively; The base structure is arranged below the data analysis device, the first capture device, the second capture device and the content generation device, and is used to provide bottom support services for the data analysis device, the first capture device, the second capture device and the content generation device respectively, including: a plurality of slots are arranged on the base structure to respectively accommodate the data analysis device, the first capture device, the second capture device and the content generation device; And wherein, a plurality of slots are arranged on the base structure to respectively accommodate the data analysis device, the first capture device, the second capture device and the content generation device, including: the opening cross-sectional areas of the plurality of slots are the same to respectively accommodate the data analysis device, the first capture device, the second capture device and the content generation device.

[0018] In addition, in the logistics warehouse volume rental request trigger system, the warehouse volume request for the current time interval sent to the warehouse management server in the target city is triggered according to the predicted value of the warehouse usage volume corresponding to the current time interval of the set logistics company, including: the warehouse volume request includes the predicted value of the warehouse usage volume corresponding to the current time interval of the set logistics company, the number of the set logistics company and the current time interval also includes: the network data packet is an IP data packet.

[0019] Although the present invention has been fully described by way of example, it should be understood that various changes and modifications are obvious to those skilled in the art. Therefore, unless such changes and modifications depart from the protection scope of the present invention, they should be understood to be included in the present invention.

Claims

1. A logistics warehouse capacity rental request triggering system, characterized in that: The system comprises: The first capture device is used to obtain various configuration contents of the set logistics company, wherein the various configuration contents of the set logistics company are the number of registered customers of the set logistics company, the number of customers in the activated state, the geographical area of the target city served, and the number of permanent residents in the target city; The second capturing device is used to obtain the warehouse usage volumes corresponding to each historical time interval before the current time interval of the set logistics company, and to obtain the warehouse usage volumes corresponding to the time interval of the set logistics company on the previous day that is at the same position on the time axis as the current time interval; A content generation device, used to generate an AI analysis model, wherein the AI analysis model is an echo state network obtained by training the echo state network multiple times, and the number of times the echo state network is trained is monotonically positively correlated with the number of registered customers of the set logistics company; A data analysis device, connected to the first capture device, the second capture device and the content generation device, respectively, for using the AI analysis model to intelligently analyze the predicted value of the warehouse usage volume corresponding to the current time interval of the set logistics company according to various configuration contents of the set logistics company, the warehouse usage volumes corresponding to each historical time interval before the current time interval of the set logistics company, and the warehouse usage volume corresponding to the time interval of the previous day that is at the same position as the current time interval on the time axis of the set logistics company; A request triggering device, connected to the data parsing device, for triggering a warehouse capacity request for the current time interval to be sent to a warehouse management server in a target city according to a predicted value of the warehouse usage capacity corresponding to the current time interval set by the logistics company; The warehouse volume request for the current time interval is triggered to be sent to the warehouse management server of the target city according to the predicted value of the warehouse usage volume corresponding to the current time interval of the set logistics company, including: the warehouse volume request includes the predicted value of the warehouse usage volume corresponding to the current time interval of the set logistics company, the number of the set logistics company and the current time interval; Among them, triggering the warehouse volume request for the current time interval to be sent to the warehouse management server of the target city according to the predicted value of the warehouse usage volume corresponding to the current time interval of the logistics company includes: the warehouse volume request includes the predicted value of the warehouse usage volume corresponding to the current time interval of the logistics company, the number of the logistics company, and the current time interval, and includes: sending the warehouse volume request for the current time interval using a network data packet; Among them, the first capture device is used to obtain various configuration contents of the set logistics company, and the various configuration contents of the set logistics company are the number of registered customers of the set logistics company, the number of customers in activated state, the geographical area of the target city served, and the number of permanent residents in the target city, including: customers in activated state are customers who have logged in to the application corresponding to the set logistics company within a set time length.

2. The logistics warehouse capacity rental request triggering system according to claim 1, characterized in that: Obtaining the warehouse usage volumes corresponding to each historical time interval before the current time interval of the set logistics company, and obtaining the warehouse usage volumes corresponding to the time interval of the set logistics company at the same position on the time axis as the current time interval on the previous day includes: the number of each historical time interval is proportional to the number of permanent residents in the target city; Among them, obtaining the warehouse usage volume corresponding to each historical time interval before the current time interval of the set logistics company, and obtaining the warehouse usage volume corresponding to the time interval of the previous day that is at the same position on the time axis as the current time interval of the set logistics company also includes: using a content mapping function to represent a content mapping relationship in which the number of each historical time interval is proportional to the permanent population of the target city.

3. The logistics warehouse capacity rental request triggering system as claimed in claim 2, characterized in that: The system further comprises: An operation measurement mechanism, connected to the data analysis device, the first capture device, the second capture device and the content generation device, respectively, for measuring the number of operations per unit time of the data analysis device, the first capture device, the second capture device and the content generation device respectively; Among them, the operation and measurement mechanism is respectively connected to the data analysis device, the first capture device, the second capture device and the content generation device, and is used to respectively measure the number of unit time operations of the data analysis device, the first capture device, the second capture device and the content generation device. The operation and measurement mechanism includes: the operation and measurement mechanism includes multiple operation and measurement units, which are used to be respectively connected to the data analysis device, the first capture device, the second capture device and the content generation device to complete the respective measurement of the number of unit time operations of the data analysis device, the first capture device, the second capture device and the content generation device.

4. The logistics warehouse capacity rental request triggering system as claimed in claim 3, characterized in that: The operation and measurement mechanism includes a plurality of operation and measurement units, which are used to respectively connect to the data analysis device, the first capture device, the second capture device and the content generation device to complete the respective measurement of the number of operations per unit time of the data analysis device, the first capture device, the second capture device and the content generation device. The plurality of operation and measurement units are a plurality of operation sensor circuits, which are used to respectively connect to the data analysis device, the first capture device, the second capture device and the content generation device to complete the respective measurement of the number of operations per unit time of the data analysis device, the first capture device, the second capture device and the content generation device.

5. The logistics warehouse capacity rental request triggering system as claimed in claim 4, characterized in that: The multiple operation measurement units are multiple operation sensing circuits, which are used to be connected to the data analysis device, the first capture device, the second capture device and the content generation device respectively, so as to complete the respective measurements of the number of operations per unit time of the data analysis device, the first capture device, the second capture device and the content generation device, including: the structures of the multiple operation sensing circuits are the same.

6. The logistics warehouse capacity rental request triggering system as claimed in claim 5, characterized in that: The multiple operation measurement units are multiple operation sensor circuits, which are used to connect to the data analysis device, the first capture device, the second capture device and the content generation device respectively to complete the respective measurements of the number of operations per unit time of the data analysis device, the first capture device, the second capture device and the content generation device. It also includes: the multiple operation sensor circuits have the same operation measurement upper limit value and operation measurement lower limit value.

7. The logistics warehouse capacity rental request triggering system as claimed in claim 2, characterized in that: The system further comprises: The base structure is arranged below the data analysis device, the first capture device, the second capture device and the content generation device, and is used to provide bottom support services for the data analysis device, the first capture device, the second capture device and the content generation device respectively.

8. The logistics warehouse capacity rental request triggering system as claimed in claim 7, characterized in that: A base structure is arranged below the data analysis device, the first capture device, the second capture device and the content generation device, and is used to provide bottom support services for the data analysis device, the first capture device, the second capture device and the content generation device respectively. The base structure includes: a plurality of slots are arranged on the base structure to respectively accommodate the data analysis device, the first capture device, the second capture device and the content generation device.

9. The logistics warehouse capacity rental request triggering system as claimed in claim 8, characterized in that: A plurality of slots are arranged on the base structure to respectively accommodate the data analysis device, the first capture device, the second capture device and the content generation device, including: the opening cross-sectional areas of the plurality of slots are the same to respectively accommodate the data analysis device, the first capture device, the second capture device and the content generation device.