Trolley logistics management system and method based on intelligent tracking and data analysis

Abstract

The invention discloses a trolley logistics management system and method based on intelligent tracking and data analysis, and relates to the technical field of logistics management. The trolley logistics management system based on intelligent tracking and data analysis comprises a cargo flow direction tracking module, an inventory information acquisition module, a motion state analysis module and an inventory management module. Whether inventory information data is obtained or not is judged through the obtained tracking timeliness evaluation value, if yes, the data real-time synchronization score is obtained, whether motion state analysis is carried out or not is judged based on the obtained data real-time synchronization score, and then whether real-time working mode switching is carried out or not is judged based on the obtained real-time state evaluation index. And finally, corresponding inventory management measures are made according to the obtained inventory data, so that the logistics management reliability of the trolley in the intelligent tracking process is improved, and the problem of low logistics management reliability of the trolley in the intelligent tracking process in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics management, and in particular to a trolley logistics management system and method based on intelligent tracking and data analysis. Background Art

[0002] With the rapid development of manufacturing and logistics industries, trolleys are important tools for logistics transportation, and their management efficiency and accuracy are crucial to the smooth operation of the entire logistics chain. However, there are many shortcomings in the traditional trolley logistics management methods, such as manual data recording is prone to errors, low tracking efficiency, and the inability to grasp the location and status of the trolleys in real time. These problems seriously restrict the improvement of logistics efficiency. In order to solve the above problems, intelligent tracking and data analysis technologies have emerged. These technologies realize real-time tracking, precise positioning, status monitoring and data analysis of trolleys by integrating advanced technologies such as sensors, the Internet of Things, big data analysis and artificial intelligence. Through intelligent tracking, the system can obtain key information such as the geographic location, speed, load, etc. of the trolley in real time, thereby realizing comprehensive monitoring and management of the trolley.

[0003] Existing technology collects relevant information of trolleys and goods in real time and transmits it to the data center through wireless networks. It also uses big data and artificial intelligence algorithms to analyze the information in the data center. It then dynamically adjusts the delivery routes and trolley dispatch based on the analysis results and real-time delivery needs. Finally, it collaborates and interacts with real-time logistics information to achieve coordinated operation of trolleys and efficient delivery of goods.

[0004] For example, the invention patent announcement with announcement number: CN117350615B announces an international logistics trajectory tracking system and method, which includes: identifying international logistics goods through a cargo identification module; connecting and communicating with multi-source logistics data sources through a location tracking unit, an environment tracking unit, a status tracking unit and a data transfer platform to obtain cargo transportation process information; obtaining cross-border data nodes of international logistics transportation through a cross-border data management module; cloud storage, processing and analysis of the acquired cargo data and logistics data through a cloud service platform; statistics and analysis of cross-border logistics data through a report generation module, and generating cargo tracking reports, cost statistics reports and risk assessment reports; and protecting the security of data during transmission and storage through a security protection module.

[0005] For example, the patent application with publication number: CN117910914A discloses a method for automatically generating a supplementary logistics path based on logistics traceability information, including: collecting logistics tracking data from a logistics management system; training a logistics delay prediction model; the logistics management system automatically plans a new logistics path; the logistics management system sends the new logistics path to the logistics vehicle to notify the delivery person.

[0006] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the present application found that the above technology has at least the following technical problems:

[0007] In the prior art, due to the data island phenomenon between the warehouse management system and the transportation management system, between different links of the supply chain, the information flow and the physical flow in the trolley inventory management are often disconnected, and it is difficult to accurately monitor the synchronization status between the information flow and the physical flow, resulting in reduced accuracy and real-time performance of trolley inventory management and response, which in turn leads to low timeliness in tracking the flow of turnover boxes in the supply chain during the logistics management process, and the problem of low reliability of logistics management of trolleys during intelligent tracking. Summary of the invention

[0008] The embodiments of the present application solve the problem of low reliability of logistics management of trolleys during intelligent tracking in the prior art by providing a trolley logistics management system and method based on intelligent tracking and data analysis, thereby improving the reliability of logistics management of trolleys during intelligent tracking.

[0009] An embodiment of the present application provides a trolley logistics management system based on intelligent tracking and data analysis, including: a cargo flow tracking module, an inventory information acquisition module, a motion status analysis module and an inventory management module; wherein the cargo flow tracking module is used to track and record in real time the flow path and operating status of a designated trolley in the logistics area to be managed, and at the same time record in real time the loading, unloading and transshipment process of the designated trolley to obtain a tracking timeliness evaluation value, and the tracking timeliness evaluation value is used to evaluate the accuracy and real-time nature of the real-time status tracking of the cargo carried by the designated trolley; the inventory information acquisition module is used to determine whether to obtain inventory information data based on the obtained tracking timeliness evaluation value, and if so, obtain the data real-time synchronization score and determine whether to perform motion status analysis based on the obtained data real-time synchronization score, and the data real-time synchronization The score is used to evaluate the degree of real-time synchronization of the inventory information data of the specified trolley during the data transmission process; the motion state analysis module is used to monitor the real-time working state of the specified trolley within a preset time period in real time according to the acquired data real-time synchronization score if motion state analysis is performed to obtain real-time state evaluation indicators, and at the same time, determine whether to perform real-time working mode switching based on the acquired real-time state evaluation indicators. The real-time state evaluation indicators are used to evaluate the necessity of real-time working mode switching of the specified trolley within the preset time period; the inventory management module is used to record the results of the real-time working mode switching and monitor the changes in the inventory parameters of the specified trolley within the preset time period in real time to obtain inventory data if real-time working mode switching is performed. At the same time, corresponding inventory management measures are formulated based on the acquired inventory data.

[0010] Furthermore, the tracking timeliness evaluation value is obtained by processing the loading and unloading timeliness evaluation value, the loading and unloading timeliness evaluation value weight factor, the transshipment timeliness evaluation value, and the transshipment timeliness evaluation value weight factor; the loading and unloading timeliness evaluation value is obtained by the loading and unloading time score and the first data entry delay rate; the transshipment timeliness evaluation value is obtained by the transshipment time score, the cargo mismatch rate score, and the second data entry delay rate; the loading and unloading time score represents the ratio of the absolute value of the difference between the actual loading and unloading time after the loading and unloading is completed and the reference loading and unloading time in the database to the reference loading and unloading time in the database; the first data entry delay rate is obtained by the first entry time and the reference average in the database. The first entry time is obtained, and the first entry time is the time for the actual loading and unloading time to be entered into the warehouse management unit; the transit time score represents the ratio of the absolute value of the difference between the actual transit time after the transit is completed and the reference transit time in the database to the reference transit time in the database; the cargo mismatch rate score represents the complement of the ratio of the number of transit error cargoes to the total number of cargoes to be transited, and the number of transit error cargoes is the sum of the number of incorrectly allocated cargoes and the number of incorrectly loaded cargoes; the second data entry delay rate is obtained by the second entry time and the reference average second entry time in the database, and the second entry time is the time for the actual transit time to be entered into the warehouse management unit.

[0011] Furthermore, the step of obtaining the data real-time synchronization score is as follows: obtaining the synchronization delay time, judging whether the obtained synchronization delay time is less than the maximum allowed synchronization delay time in the database, and if so, obtaining the synchronization delay time score, wherein the synchronization delay time score is the ratio of the synchronization delay time to the maximum allowed synchronization delay time in the database, and the synchronization delay time is the time between the acquisition of the inventory information data and the reception by the warehouse management unit; real-time monitoring of the data update frequency and unit response time of the warehouse management unit within a preset time period, judging whether the unit response time is less than the maximum allowed unit response time in the database, and if so, obtaining Unit response time score, the unit response time score is the ratio of the unit response time to the maximum allowed unit response time, the unit response time is the time it takes for the warehouse management unit to respond and provide feedback after receiving a request for inventory information data; a preset data verification factor is obtained from the database of the warehouse management unit, and at the end of a preset time period, a data synchronization success rate is obtained, and a data real-time synchronization score is obtained by combining the obtained synchronization delay time score, data update frequency and unit response time score, the data synchronization success rate is the ratio of the number of inventory information data successfully synchronized to the warehouse management unit to the total number of inventory information data.

[0012] Furthermore, the specific limiting expression of the data real-time synchronization score is:

[0013] ;

[0014] In the formula, e is a natural constant, Indicates the real-time synchronization score of inventory information data during data transmission in the warehouse management unit. Indicates the unit response time score of the warehouse management unit during the data transmission process of inventory information data. Indicates the unit response time of the corresponding warehouse management unit during the data transmission process of inventory information data. Indicates the maximum allowed unit response time, Indicates the data update frequency of the warehouse management unit during the data transmission process of inventory information data. Indicates the data verification factor of the warehouse management unit during the data transmission process of inventory information data. Indicates the successful synchronization rate of inventory information data during data transmission in the warehouse management unit. Indicates the synchronization delay fraction of inventory information data during data transmission in the warehouse management unit. Indicates the synchronization delay duration of inventory information data during data transmission in the warehouse management unit. Indicates the maximum allowed synchronization delay. It indicates the tracking timeliness evaluation value of the specified trolley during the working process. Indicates the threshold range for tracking timeliness evaluation.

[0015] Furthermore, the real-time status evaluation index is obtained by the following method: real-time monitoring of the vibration frequency of the fork frame of the designated trolley at the working moment and obtaining a vibration frequency score in combination with the maximum allowable vibration frequency in the database, wherein the vibration frequency score is the ratio of the vibration frequency to the maximum allowable vibration frequency;

[0016] Monitor in real time the tightness of the left-end fixing screw and the right-end fixing screw of the fork frame of the specified trolley at the working moment. When the tightness of the left-end fixing screw is greater than the reference left-end fixing screw tightness and the tightness of the right-end fixing screw is greater than the reference right-end fixing screw tightness, obtain the left-end tightness score and the right-end tightness score by combining the initial left-end fixing screw tightness and the initial right-end fixing screw tightness; process the acquired data real-time synchronization score, vibration frequency score, left-end tightness score and right-end tightness score respectively to obtain real-time status evaluation indicators; the left-end tightness score is the ratio of the difference between the initial left-end fixing screw tightness and the left-end fixing screw tightness to the initial left-end fixing screw tightness; the right-end tightness score is the ratio of the difference between the initial right-end fixing screw tightness and the right-end fixing screw tightness to the initial right-end fixing screw tightness.

[0017] The embodiment of the present application provides a trolley logistics management method based on intelligent tracking and data analysis, including the following steps: Step 1, real-time tracking and recording of the flow path and operation status of a specified trolley in the logistics area to be managed, and at the same time real-time recording of the loading, unloading and transfer process of the specified trolley to obtain a tracking timeliness evaluation value, and the tracking timeliness evaluation value is used to evaluate the accuracy and real-time performance of the real-time status tracking of the goods carried by the specified trolley; Step 2, judging whether to obtain inventory information data based on the obtained tracking timeliness evaluation value, and if so, obtaining the data real-time synchronization score and judging whether to perform motion status analysis based on the obtained data real-time synchronization score, and the data real-time synchronization score is used to evaluate the inventory information data of the specified trolley The degree of real-time synchronization during the data transmission process; Step three, if a motion state analysis is performed, the real-time working state of the specified trolley within a preset time period is monitored in real time according to the real-time synchronization score of the acquired data to obtain a real-time state evaluation index, and at the same time, based on the acquired real-time state evaluation index, it is determined whether to perform a real-time working mode switch, and the real-time state evaluation index is used to evaluate the degree of necessity of the real-time working mode switch of the specified trolley within the preset time period; Step four, if a real-time working mode switch is performed, the result of the real-time working mode switch is recorded and the changes in the inventory parameters of the specified trolley within the preset time period are monitored in real time to obtain inventory data, and corresponding inventory management measures are formulated according to the acquired inventory data.

[0018] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0019] 1. Determine whether to obtain inventory information data through the obtained tracking timeliness evaluation value. If so, determine whether to perform motion status analysis based on the real-time synchronization score of the obtained data, and then determine whether to switch the real-time working mode based on the obtained real-time status evaluation index. Finally, monitor the changes in the inventory parameters of the specified trolley within the preset time period in real time to obtain inventory data and formulate corresponding inventory management measures, thereby achieving improved accuracy and real-time performance in the formulation of inventory management measures, and then achieving improved reliability in the logistics management of the trolley during the intelligent tracking process, effectively solving the problem of low reliability in the logistics management of the trolley during the intelligent tracking process in the prior art.

[0020] 2. The synchronization delay time score and the unit response time score are obtained through the judgment results of the synchronization delay time and the unit response time. At the same time, the preset data verification factor is obtained from the database of the warehouse management unit and the data synchronization success rate is obtained at the end of the preset time period. The data real-time synchronization score is obtained in combination with the obtained data update frequency, thereby achieving an improvement in the accuracy of obtaining the data real-time synchronization score, and then achieving a more accurate evaluation of the real-time synchronization performance of inventory information data.

[0021] 3. By real-time monitoring of the vibration frequency of the fork frame of the specified trolley at the working moment and combining it with the maximum allowable vibration frequency in the database to obtain the vibration frequency score, when the tightness of the left-end fixing screw is greater than the reference left-end fixing screw tightness and the tightness of the right-end fixing screw is greater than the reference right-end fixing screw tightness, the left-end tightness score and the right-end tightness score are obtained by combining the initial left-end fixing screw tightness and the initial right-end fixing screw tightness, and the real-time synchronization score of the acquired data is combined to obtain the real-time status evaluation index, thereby achieving an improvement in the accuracy of obtaining the real-time status evaluation index, and then achieving a more accurate evaluation of the working status of the turnover box of the specified trolley. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A schematic diagram of the structure of a trolley logistics management system based on intelligent tracking and data analysis provided in an embodiment of the present application;

[0023] Figure 2 A structural block diagram of the intelligent module provided in the embodiment of the present application;

[0024] Figure 3 A specific flow chart of real-time working mode switching of the smart trolley provided in the embodiment of the present application;

[0025] Figure 4 A flowchart of a trolley logistics management method based on intelligent tracking and data analysis provided in an embodiment of the present application;

[0026] Figure 5 A specific flow chart for the logistics management of a designated trolley provided in an embodiment of the present application. DETAILED DESCRIPTION

[0027] The embodiment of the present application solves the problem of low reliability of logistics management of trolleys in the process of intelligent tracking in the prior art by providing a trolley logistics management system and method based on intelligent tracking and data analysis. The cargo flow tracking module is used to track and record the flow path and operating status of the designated trolley in the logistics area to be managed in real time, and the loading, unloading and transshipment processes of the designated trolley are recorded in real time to obtain a tracking timeliness evaluation value. Then, the inventory information acquisition module is used to determine whether to obtain inventory information data according to the obtained tracking timeliness evaluation value. If so, the data real-time synchronization score is obtained and based on the obtained data real-time synchronization score, it is determined whether to perform motion state analysis. Then, the motion state analysis module is used to monitor the real-time working status of the designated trolley within a preset time period in real time according to the obtained data real-time synchronization score to obtain a real-time state evaluation index. At the same time, based on the obtained real-time state evaluation index, it is determined whether to switch the real-time working mode. Finally, the inventory management module is used to record the results of the real-time working mode switching and monitor the changes in the inventory parameters of the designated trolley within a preset time period in real time to obtain inventory data. At the same time, corresponding inventory management measures are formulated based on the obtained inventory data, thereby improving the reliability of logistics management of the trolley in the process of intelligent tracking.

[0028] The technical solution in the embodiment of the present application is to solve the problem of low reliability of logistics management in the intelligent tracking process of the above-mentioned trolley, and the overall idea is as follows:

[0029] Whether to obtain inventory information data is determined by the obtained tracking timeliness evaluation value. If so, the real-time data synchronization score is obtained and based on the obtained data real-time synchronization score, it is determined whether to perform motion status analysis. Then, based on the obtained real-time status evaluation indicators, it is determined whether to switch the real-time working mode. Finally, the changes in the inventory parameters of the specified trolley within the preset time period are monitored in real time to obtain inventory data. At the same time, corresponding inventory management measures are formulated based on the obtained inventory data, thereby achieving the effect of improving the reliability of the trolley's logistics management during the intelligent tracking process.

[0030] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0031] like Figure 1As shown, it is a structural schematic diagram of the trolley logistics management system based on intelligent tracking and data analysis provided in an embodiment of the present application. The trolley logistics management system based on intelligent tracking and data analysis provided in an embodiment of the present application includes: a cargo flow tracking module, an inventory information acquisition module, a motion state analysis module and an inventory management module; wherein the cargo flow tracking module is used to track and record in real time the flow path and operation status of a specified trolley in the logistics area to be managed, and at the same time record in real time the loading, unloading and transshipment process of the specified trolley to obtain a tracking timeliness evaluation value, and the tracking timeliness evaluation value is used to evaluate the accuracy and real-timeness of the real-time status tracking of the cargo carried by the specified trolley; the inventory information acquisition module is used to determine whether to obtain inventory information data based on the obtained tracking timeliness evaluation value, and if so, obtain the data real-time synchronization score and The data real-time synchronization score is used to evaluate the real-time synchronization degree of the inventory information data of the specified trolley during the data transmission process; the motion state analysis module is used to monitor the real-time working state of the specified trolley within a preset time period in real time according to the acquired data real-time synchronization score if the motion state analysis is performed, so as to obtain the real-time state evaluation index, and at the same time, determine whether to switch the real-time working mode based on the acquired real-time state evaluation index, and the real-time state evaluation index is used to evaluate the necessity of the real-time working mode switching of the specified trolley within the preset time period; the inventory management module is used to record the result of the real-time working mode switching and monitor the changes of the inventory parameters of the specified trolley within the preset time period in real time to obtain the inventory data if the real-time working mode switching is performed, and formulate the corresponding inventory management measures according to the acquired inventory data.

[0032] Among them, a fixed protective bracket of the trolley logistics management system is designed on the main body of each designated trolley. The bottom shell of the protective bracket is made of metal, and the upper cover is engineering plastic, which is waterproof and sealed. The trolley logistics management system can be fixed on the metal bottom shell by screws, the battery can be fixed in the specific slot of the bottom shell, and the antenna can be attached to the inside of the upper cover.

[0033] The flow path and operation status of the designated trolley are tracked in real time through the global positioning system. The data transmission process of inventory information data refers to the transmission of the acquired inventory information data to the warehouse management unit through the communication network. The loading, unloading and transfer process of the designated trolley is recorded in real time through radio frequency identification technology, which helps managers quickly understand the current distribution location and estimated arrival time of the goods, and improves the transparency of the logistics process. Among them, radio frequency identification (RFID) technology is a commonly used method for tracking the flow of goods in intelligent tracking systems.

[0034] The inventory management module includes a warehouse management unit and an inventory data acquisition unit, wherein the warehouse management unit is used to store real-time recorded inventory information, including cargo delivery time information, cargo storage location information, and the number of turnover boxes on a designated trolley and turnover box storage status information; the inventory data acquisition unit is used to obtain inventory data based on changes in the inventory parameters of the designated trolley within a preset time period.

[0035] In this embodiment, motion state analysis is used to track and record the motion state of a specified trolley at a transfer point in real time, including warehousing, out of warehouse and in warehouse; real-time working modes include acceleration mode, deceleration mode and shutdown mode; inventory parameters include inventory quantity and cargo turnover rate. The inventory quantity usually includes the cargo inventory quantity in a specified trolley and the cargo inventory quantity in a turnover box in a specified trolley. The cargo turnover rate represents the ratio of the number of circulating cargoes of a specified trolley within a preset time period to the total duration of a preset time period; inventory data includes inventory turnover quantity and retention inventory stay time. The inventory turnover quantity is the turnover quantity of cargoes in a turnover box in a specified trolley within a preset time period, which is recorded in real time by a counter. The retention inventory stay time is the stay time of overtime cargoes in a turnover box in a specified trolley, wherein overtime cargoes are cargoes that exceed the preset turnover time.

[0036] Inventory management measures include the allocation of goods and priority sorting of designated trolleys before leaving the warehouse. Goods allocation means that the total quantity of goods allocated within the preset time period remains unchanged. When the inventory of the designated trolley at working time is not greater than the maximum allowable inventory in the database, it is necessary to prompt the preset management personnel to replenish the goods. When the inventory of the designated trolley at working time is greater than the maximum allowable inventory in the database, it is necessary to prompt the preset management personnel to replenish the excess goods in the designated trolley with other designated trolleys whose inventory is less than the maximum allowable inventory in the database, where the excess goods are the difference between the maximum allowable inventory and the current goods of the designated trolley; priority sorting is usually expressed in binary, 1 represents an expedited order, and the corresponding turnover box in the designated trolley is also marked as 1; 0 represents normal delivery, and the corresponding turnover box in the designated trolley is also marked as 0. A more accurate analysis of the real-time tracking status of the designated trolley in the intelligent tracking process is achieved, thereby improving the reliability of logistics management of the trolley in the intelligent tracking process.

[0037] Furthermore, the tracking timeliness evaluation value is obtained by constraining the loading and unloading timeliness evaluation value (i.e., ), the weight factor of the loading and unloading timeliness evaluation value (i.e., the weight factor of the restriction expression of the tracking timeliness evaluation value ) and the transit timeliness evaluation value (i.e., the value in the restriction expression of the tracking timeliness evaluation value ), the weight factor of the transit timeliness evaluation value (i.e., the weight factor of the restriction expression of the tracking timeliness evaluation value ) is processed to obtain.

[0038] Specifically, the loading and unloading timeliness evaluation value is obtained through the loading and unloading time score and the first data entry delay rate; the transit timeliness evaluation value is obtained through the transit time score, the cargo mismatch rate score and the second data entry delay rate; the loading and unloading time score represents the ratio of the absolute value of the difference between the actual loading and unloading time after the loading and unloading is completed and the reference loading and unloading time in the database to the reference loading and unloading time in the database; the first data entry delay rate is obtained through the first entry time and the reference average first entry time in the database, and the first entry time is the actual loading and unloading time (the time for a specified trolley to perform one loading and unloading) entered into the warehouse management unit The transit time score represents the ratio of the absolute value of the difference between the actual transit time after the transit is completed and the reference transit time in the database to the reference transit time in the database; the cargo mismatch rate score represents the complement of the ratio of the number of incorrectly transited cargo to the total number of cargo to be transited, and the number of incorrectly transited cargo is the sum of the number of incorrectly allocated cargo and the number of incorrectly loaded cargo; the second data entry delay rate is obtained by the second entry time and the reference average second entry time in the database, and the second entry time is the time for the actual transit time (the time for a designated trolley to perform a transit) to be entered into the warehouse management unit.

[0039] In this embodiment, the specific limiting expression of the tracking timeliness evaluation value is:

[0040] ;

[0041] ;

[0042] ;

[0043] ;

[0044] ;

[0045] ;

[0046] ;

[0047] ;

[0048] Where t is the number of the preset time period (a preset time period only includes the loading and unloading process and the transfer process of a specified trolley), , T is the total number of preset time periods, e is a natural constant, It represents the tracking timeliness evaluation value of the specified trolley during the working process (including loading, unloading and transshipment). represents the weight factor of the loading and unloading timeliness assessment value, It represents the loading and unloading timeliness evaluation value of the specified trolley in the t-th preset time period during the loading and unloading process. It represents the loading and unloading time fraction of the specified trolley in the t-th preset time period during the loading and unloading process. It indicates the actual loading and unloading time of the specified trolley in the t-th preset time period during the loading and unloading process. Indicates the reference loading and unloading time. represents the first data entry delay rate of a specified trolley in the t-th preset time period during the loading and unloading process, Indicates the first entry duration of the specified trolley in the t-th preset time period during the loading and unloading process. Indicates the reference average first entry time, represents the weight factor of transit timeliness assessment value, It represents the transit timeliness evaluation value of the specified trolley in the t-th preset time period during the transit process. It represents the transfer time fraction of the specified trolley in the t-th preset time period during the transfer process. It indicates the actual transfer time of the specified trolley in the t-th preset time period during the transfer process. Indicates the reference transit time. It represents the cargo mismatch rate score of the specified trolley in the t-th preset time period during the transfer process. It indicates the number of incorrectly allocated goods in the t-th preset time period during the transfer process of the specified trolley. It indicates the number of incorrectly loaded goods in the specified trolley during the t-th preset time period during the transfer process. It indicates the total quantity of goods to be transferred in the t-th preset time period during the transfer process of the specified trolley. represents the second data entry delay rate of the specified trolley in the t-th preset time period during the transfer process, Indicates the second entry duration of the specified trolley in the t-th preset time period during the transfer process. Indicates the reference average second entry duration.

[0049] Among them, the reference loading and unloading time and the reference average first entry time are respectively represented by the sum and average of the historical loading and unloading time of the trolley in the historical loading and unloading process and the historical loading and unloading time entered in each historical time period in the database; the reference transfer time and the reference average second entry time are respectively represented by the sum and average of the historical transfer time of the trolley in the historical transfer process and the historical transfer time entered in each historical time period in the database.

[0050] The weight factors of the loading and unloading timeliness evaluation value and the transshipment timeliness evaluation value in this example are respectively the loading and unloading timeliness evaluation value and the transshipment timeliness evaluation value preset in the preset database, which respectively track the influence of the loading and unloading and transshipment process of the specified trolley. Specifically, the preset database stores the preset weight factors corresponding to the loading and unloading timeliness evaluation value and the transshipment timeliness evaluation value. There is a preset mapping relationship between these weight factors and the loading and unloading timeliness evaluation value and the transshipment timeliness evaluation value. This mapping relationship can be one-to-one or many-to-one. In practical applications, the real-time loading and unloading timeliness evaluation value and the transshipment timeliness evaluation value can be input into this mapping relationship, so as to quickly obtain the corresponding weight factors, which provides an important quantitative indicator for evaluating the timeliness interference in tracking the loading and unloading and transshipment process of the specified trolley, and then more accurately calculates the tracking timeliness evaluation value. The value range of these weight factors is limited to between 0 and 1, which ensures their rationality and effectiveness in calculating the tracking timeliness evaluation value.

[0051] It should be understood that the tracking timeliness evaluation value increases with the increase of the loading and unloading timeliness evaluation value and the transshipment timeliness evaluation value. From the above limiting expression of the tracking timeliness evaluation value, it can be seen that the loading and unloading timeliness evaluation value increases with the loading and unloading time deviation (i.e. ) and the first entry duration deviation (i.e. ) increases, the transit timeliness assessment value decreases with the transit time deviation (i.e. ), the number of incorrectly transferred goods and the second entry time deviation (i.e. ) increases and decreases.

[0052] It should be noted that (1) the deviation of loading and unloading time also indirectly affects the value of transshipment time deviation (assuming that the total time of loading and unloading process and transshipment process remains unchanged). When the deviation of loading and unloading time increases, it indicates that the difference between the actual loading and unloading time and the planned time increases (that is, there is a delay in the actual loading and unloading process), resulting in the transshipment work being unable to start on time, and thus causing the actual transshipment time to be delayed (that is, the deviation of transshipment time also increases) (because transshipment work usually depends on the completion of loading and unloading work to ensure that the goods can be transferred to the next link on time and accurately).

[0053] (2) The number of incorrectly transferred goods also indirectly affects the value of the second entry time deviation. Suppose a logistics company mistakenly transfers 10 pieces of goods to the wrong location during the transfer process. In order to correct this error, the logistics company needs to recheck the goods information, determine the correct transfer purpose, and update relevant records. This process may take extra time to complete. Therefore, an increase in the number of incorrectly transferred goods will lead to an increase in the second entry time deviation.

[0054] From the above analysis, it can be seen that the deviation in loading and unloading time, the number of incorrectly transferred goods and the deviation in transfer time have an important impact on the reliability of the logistics management of a designated trolley. By considering the above indirect impact mechanism, this will help logistics companies to more accurately grasp the status of goods during the intelligent tracking process, improve logistics efficiency and service quality, and thus achieve the improvement of the reliability of the trolley's logistics management during the intelligent tracking process, effectively solving the problem of low reliability of the trolley's logistics management during the intelligent tracking process in the prior art.

[0055] Furthermore, the specific process of determining whether to obtain inventory information data based on the obtained tracking timeliness evaluation value is as follows: determining whether the obtained tracking timeliness evaluation value is within the tracking timeliness evaluation threshold range (including the case where it is equal to the maximum and minimum values ​​of the historical tracking timeliness evaluation values); if so, integrating the real-time recorded inventory information with the warehouse management unit in the inventory management module (i.e., transmitting the real-time recorded inventory information to the warehouse management unit in the inventory management module through the communication network for storage) to obtain the inventory information data; otherwise, re-acquiring the inventory information data and re-acquiring the tracking timeliness evaluation value until the re-acquired tracking timeliness evaluation value is within the tracking timeliness evaluation threshold range.

[0056] Among them, inventory information data includes goods delivery time, goods storage location, the number of turnover boxes on the designated trolley, and the storage status of the turnover boxes. The storage status of the turnover boxes is visualized through the display screen on the turnover box in the designated trolley. a represents that the goods are full, b represents that the goods are not full, and c represents that the turnover box is not loaded with goods.

[0057] In this embodiment, the tracking timeliness evaluation threshold range represents the range corresponding to the maximum and minimum values ​​of the historical tracking timeliness evaluation values ​​of a specified trolley in the database during the historical logistics tracking process; this example ensures that only timely and accurate inventory information is integrated into the warehouse management unit by judging whether the tracking timeliness evaluation value is within the threshold range, which helps reduce the problem of inaccurate inventory information caused by data delays or errors, helps logistics companies respond to customer needs more quickly, and improves logistics management efficiency.

[0058] Furthermore, the step of obtaining the data real-time synchronization score is as follows: when the obtained tracking timeliness evaluation value is within the tracking timeliness evaluation threshold range, the synchronization delay duration is obtained, and it is determined whether the obtained synchronization delay duration is less than the maximum allowed synchronization delay duration in the database. If so, the synchronization delay duration score is obtained (i.e., the value in the restriction expression of the data real-time synchronization score). ), the synchronization delay score is the ratio of the synchronization delay to the maximum allowed synchronization delay in the database, and the synchronization delay is the time between the acquisition of inventory information data and the receipt by the warehouse management unit; real-time monitoring of the data update frequency of the warehouse management unit within the preset time period (that is, the frequency of the data real-time synchronization score in the restriction expression) ) and unit response time, determine whether the unit response time is less than the maximum allowed unit response time in the database, and if so, obtain the unit response time score (that is, the limit expression of the data real-time synchronization score) ), the unit response time score is the ratio of the unit response time to the maximum allowed unit response time, and the unit response time is the time it takes for the warehouse management unit to respond and feedback after receiving the inventory information data request; the preset data verification factor (i.e., the factor in the restriction expression of the data real-time synchronization score) is obtained from the database of the warehouse management unit. ), and at the end of the preset time period, obtain the data synchronization success rate (that is, the data real-time synchronization score in the restriction expression ), and combined with the obtained synchronization delay duration score, data update frequency and unit response duration score to obtain the data real-time synchronization score. The data synchronization success rate is the ratio of the number of inventory information data successfully synchronized to the warehouse management unit to the total number of inventory information data.

[0059] Furthermore, the specific restriction expression of the data real-time synchronization score is:

[0060] ;

[0061] ;

[0062] ;

[0063] ;

[0064] In the formula, e is a natural constant, Indicates the real-time synchronization score of inventory information data during data transmission in the warehouse management unit. Indicates the unit response time score of the warehouse management unit during the data transmission process of inventory information data. Indicates the unit response time of the corresponding warehouse management unit during the data transmission process of inventory information data. Indicates the maximum allowed unit response time, Indicates the data update frequency of the warehouse management unit during the data transmission process of inventory information data. Indicates the data verification factor of the warehouse management unit during the data transmission process of inventory information data. Indicates the successful synchronization rate of inventory information data during data transmission in the warehouse management unit. Indicates the amount of inventory information data that is successfully synchronized after the warehouse management unit data transmission is completed. Indicates the total quantity of inventory information data before the warehouse management unit data transmission starts. Indicates the synchronization delay fraction of inventory information data during data transmission in the warehouse management unit. Indicates the synchronization delay duration of inventory information data during data transmission in the warehouse management unit. Indicates the maximum allowed synchronization delay. It represents the tracking timeliness evaluation value of the specified trolley during the operation (including loading, unloading and transshipment). Indicates the threshold range for tracking timeliness evaluation.

[0065] Among them, the data verification factor (directly obtained from the database of the warehouse management unit, with a value range of 0 to 1) represents the degree of data verification of the inventory information data in the warehouse management unit. Among them, data verification is performed through the data verification mechanism in the warehouse management unit, which can effectively identify and correct erroneous data of the inventory information data during the data transmission process. By introducing the data verification factor, the correction of erroneous data of the inventory information data during the data transmission process can be observed in real time, which helps to improve the accuracy of inventory information data synchronization, thereby achieving the improvement of the accuracy and reliability of the real-time synchronization performance evaluation of inventory information data.

[0066] In this embodiment, the maximum allowable synchronization delay duration is the maximum value of the historical synchronization delay duration of the historical inventory information data in the database within the historical time period, and the maximum allowable unit response duration is the maximum value of the historical unit response duration of the historical warehouse management unit in the database within the historical time period.

[0067] Assuming that the tracking timeliness evaluation threshold range is between 0.5 and 1.5, the maximum allowed unit response time is 0.8s, and the maximum allowed synchronization delay time is 1.5s, the statistical table of changes in the data real-time synchronization score is shown in Table 1:

[0068] Table 1 Statistics of changes in real-time data synchronization scores

[0069]

[0070] It should be understood that, from the first, second and third rows of data in Table 1, it can be seen that the data real-time synchronization score increases with the increase of data update frequency, data verification factor and data success synchronization rate, and from the fourth and fifth rows of data in Table 1, it can be seen that the data real-time synchronization score decreases with the increase of unit response duration score and synchronization delay duration score.

[0071] It should be noted that (1) the data success synchronization rate also indirectly affects the value of the data update frequency. Assuming that in a logistics tracking system, the data update frequency refers to how often the logistics tracking system updates logistics information. When the data success synchronization rate increases, it means that each data update can be accurately received and synchronized by the logistics tracking system. At this time, the tracking process of the logistics tracking system is stable, and the corresponding logistics tracking system may increase the data update frequency, because even if the update is frequent, the accuracy and consistency of the data can be guaranteed. On the contrary, if the data success synchronization rate decreases, the logistics tracking system may worry that frequent updates will lead to more data synchronization problems, so it may reduce the data update frequency to reduce the risk of synchronization failure.

[0072] (2) The synchronization delay score also indirectly affects the value of the synchronization delay score. If the synchronization delay score increases, the inventory information data can be received and synchronized by the logistics tracking system faster, thereby improving the data real-time synchronization score. Conversely, if the synchronization delay score decreases, the speed of inventory information data synchronization will slow down, thereby reducing the data real-time synchronization score. This may affect the reliability of logistics management, because delayed information updates may lead to wrong decisions or waste of resources.

[0073] By considering the above-mentioned indirect impact mechanism, it helps to ensure that inventory information data is more accurate, timely and consistent during the intelligent tracking process, thereby improving the reliability of the logistics management of the trolley during the intelligent tracking process, and effectively solving the problem of low reliability of the logistics management of the trolley during the intelligent tracking process in the prior art.

[0074] Furthermore, the specific process of determining whether to perform motion state analysis based on the acquired data real-time synchronization score is as follows: determining whether the acquired data real-time synchronization score is within the data real-time synchronization threshold range (including the case where it is equal to the maximum and minimum values ​​of the historical data real-time synchronization scores); if so, it indicates that the synchronization performance between the inventory information data and the warehouse management unit meets the expected requirements and a motion state analysis is performed; otherwise, the motion state analysis is not performed and the data transmission parameters of the warehouse management unit are adjusted; data transmission is performed again according to the adjusted data transmission parameters and the data real-time synchronization score is re-acquired until the re-acquired data real-time synchronization score is within the data real-time synchronization threshold range.

[0075] Specifically, the specific process of motion state analysis is: when the total number of goods in the turnover boxes in the designated trolley remains unchanged within the preset time period, the turnover rate of the turnover boxes in the designated trolley within the preset time period is monitored in real time: if the turnover rate increases at the next working moment, it is judged as the warehousing state; if the turnover rate decreases at the next working moment, it is judged as the outbound state; if the turnover rate remains unchanged at the next working moment, it is judged as the in-warehouse state.

[0076] In this embodiment, the data real-time synchronization threshold range represents the range corresponding to the maximum and minimum values ​​of the historical data real-time synchronization scores of the historical inventory information data in the database during the historical data transmission process; the data transmission parameters generally include network bandwidth and data packet size. If the acquired data real-time synchronization score is not within the data real-time synchronization threshold range, the data packet size is reduced by reducing the data packet parameters of the warehouse management unit, because the data packet size is larger than the preset data packet size corresponding to the inventory information data volume, which will cause the inventory information data to increase in the data transmission process. The preset data packet size is set by the management personnel; or the network bandwidth parameters are increased to increase the network bandwidth of the warehouse management unit. Each time an adjustment is made, the data real-time synchronization score needs to be re-acquired, thereby achieving the improvement of the reliability of the real-time synchronization performance optimization of the inventory information data during the data transmission process.

[0077] Furthermore, the real-time status evaluation index is obtained by the following method: when the obtained data real-time synchronization score is within the data real-time synchronization threshold range, the vibration frequency of the fork frame of the specified trolley at the working time is monitored in real time and the vibration frequency score is obtained in combination with the maximum allowable vibration frequency in the database (that is, the maximum allowable vibration frequency in the restriction expression of the real-time status evaluation index). ), the vibration frequency score is the ratio of the vibration frequency to the maximum allowable vibration frequency; monitor the tightness of the left and right fixing screws of the fork frame of the specified trolley at the working moment in real time, judge whether the tightness of the left fixing screw is greater than the reference tightness of the left fixing screw, and judge whether the tightness of the right fixing screw is greater than the reference tightness of the right fixing screw. When the tightness of the left fixing screw is greater than the reference tightness of the left fixing screw and the tightness of the right fixing screw is greater than the reference tightness of the right fixing screw, combine the initial tightness of the left fixing screw and the initial tightness of the right fixing screw to obtain the left tightness score (that is, the tightness score in the restriction expression of the real-time state evaluation index). ) and the right-hand tightness score (i.e., the limit expression of the real-time state evaluation index ); The acquired data real-time synchronization score (i.e., the real-time status evaluation index in the restriction expression) ), vibration frequency score, left end tightness score and right end tightness score are processed respectively to obtain real-time status evaluation indicators; the left end tightness score is the ratio of the difference between the initial left end fixing screw tightness and the left end fixing screw tightness to the initial left end fixing screw tightness; the right end tightness score is the ratio of the difference between the initial right end fixing screw tightness and the right end fixing screw tightness to the initial right end fixing screw tightness.

[0078] In this embodiment, assuming that the data real-time synchronization threshold range is between 1.7 and 2.2, the specific restriction expression of the real-time status evaluation index is:

[0079] ;

[0080] ;

[0081] ;

[0082] ;

[0083] In the formula, e is a natural constant, It indicates the real-time status evaluation index of the fork frame of the specified trolley at the working time. Indicates the real-time synchronization score of inventory information data during data transmission in the warehouse management unit. Indicates the data real-time synchronization threshold range. Indicates the tightness score of the left end of the fork frame of a specified trolley at the working moment. Indicates the initial tightness of the left end fixing screw of the fork frame of the specified trolley before work. Indicates the tightness of the left end fixing screw of the fork frame of the specified trolley when working. Indicates the tightness of the reference left end fixing screw. Indicates the tightness score of the right end of the fork frame of a specified trolley at the working moment. Indicates the initial right end fixing screw tightness of the fork frame of the specified trolley before work. Indicates the tightness of the left end fixing screw of the fork frame of the specified trolley when working. Indicates the tightness of the reference left end fixing screw. It indicates the vibration frequency score of the fork frame of a specified trolley at the working time. Indicates the vibration frequency of the fork frame of a specified trolley at the working time. Indicates the maximum permissible vibration frequency.

[0084] Among them, the tightness of the fixing screws on the fork frame of the specified trolley is monitored in real time by the deployed tightness sensor (connected to the trolley logistics management system through a wireless communication network), the reference left-end fixing screw tightness and the reference right-end fixing screw tightness respectively represent the maximum value of the historical left-end fixing screw tightness and the maximum value of the historical right-end fixing screw tightness of the fork frame of the specified trolley in the database during the historical working process, and the maximum allowable vibration frequency is the maximum value of the historical vibration frequency of the fork frame of the specified trolley during the historical working process.

[0085] It should be understood that the real-time status evaluation index increases with the increase of the real-time data synchronization score, and decreases with the increase of the vibration frequency score, the left end tightness score and the right end tightness score. Among them, (1) the real-time data synchronization score also indirectly affects the value of the vibration frequency score. When the real-time data synchronization score decreases, the trolley logistics management system cannot capture the real-time vibration frequency of the fork frame in a timely and accurate manner, which will cause the calculation of the vibration frequency score to be based on outdated or incomplete information, thereby failing to truly reflect the current working status of the fork frame. Therefore, the reduction of the real-time data synchronization score will indirectly lead to an inaccurate vibration frequency score, affecting the accurate evaluation of the working status of the specified trolley fork frame.

[0086] (2) The vibration frequency score also indirectly affects the values ​​of the left-end tightness score and the right-end tightness score. Assuming that when the vibration frequency of a trolley's fork frame increases, the left-end fixing screw becomes loose (that is, the left-end tightness score increases). If the trolley logistics management can accurately monitor the change in the vibration frequency of the fork frame and identify the relationship between this change and the tightness of the left-end fixing screw, it can timely and accurately monitor the change in the tightness of the left-end fixing screw to reflect the structural instability. Similarly, if the right-end fixing screw is also affected, the right-end tightness score will also increase accordingly. Therefore, in the subsequent evaluation, the left-end tightness score will be reduced accordingly.

[0087] By considering the above-mentioned indirect influencing mechanism, the trolley logistics management system can indirectly evaluate the tightness of the fork frame fixing screws through the change of the vibration frequency score, so as to take timely measures to repair or adjust them, thereby improving the reliability of the trolley's logistics management during the intelligent tracking process, and effectively solving the problem of low reliability of the trolley's logistics management during the intelligent tracking process in the prior art.

[0088] Furthermore, the specific process of judging whether to switch the real-time working mode based on the obtained real-time status evaluation index is as follows: judging whether the obtained real-time status evaluation index is within the real-time status evaluation threshold range (excluding the case where it is equal to the maximum and minimum values ​​of the historical real-time status evaluation index); if so, it indicates that the real-time working status of the specified trolley meets the expected requirements, and the real-time working mode switching is not performed at this time; otherwise, it indicates that the real-time working status of the specified trolley does not meet the expected requirements and the real-time working mode switching is performed.

[0089] Specifically, the specific steps of real-time working mode switching are: if the real-time status evaluation index obtained is not greater than the minimum value of the historical real-time status evaluation index, the real-time working mode of the corresponding designated trolley will be switched from the normal working mode to the acceleration mode, and the acceleration mode switching instruction will be sent to the central control system through the communication network. When the central control system on the center console receives the acceleration mode switching instruction, the designated trolley automatically executes the acceleration mode switching instruction, that is, accelerates according to the preset acceleration, wherein the preset acceleration is set by the management personnel, and is usually represented by the result of summing and averaging the historical accelerations of the designated trolley in the acceleration mode switching process in the database.

[0090] If the real-time status evaluation index obtained is not less than the maximum value of the historical real-time status evaluation index, the vibration frequency of the designated trolley fork frame during the working process is monitored in real time (obtained in real time through the deployed vibration sensor) to determine whether the vibration frequency at the working moment is not greater than the maximum allowable vibration frequency in the database. If so, the real-time working mode of the corresponding designated trolley is switched from the normal working mode to the deceleration mode, otherwise the real-time working mode of the corresponding designated trolley is switched from the normal working mode to the shutdown mode.

[0091] Among them, the normal working mode means that the real-time state evaluation index obtained is within the real-time state evaluation threshold range, and the real-time working mode of the corresponding designated trolley is displayed in real time through the central control display screen on the central console of the designated trolley. It should be noted that the preset accelerations in the process of the designated trolley automatically executing the acceleration mode switching instruction and the deceleration mode switching instruction are the same in magnitude and opposite in direction.

[0092] In this embodiment, the specific process of switching the real-time working mode of the corresponding designated trolley from the normal working mode to the deceleration mode is as follows: when the central control system on the center console receives the deceleration mode switching instruction, the designated trolley automatically executes the deceleration mode switching instruction, that is, deceleration is performed according to the preset acceleration, wherein the preset acceleration is set by the management personnel; the specific process of switching the real-time working mode of the corresponding designated trolley from the normal working mode to the shutdown mode is as follows: when the central control system on the center console receives the shutdown mode switching instruction, the designated trolley automatically executes the shutdown mode switching instruction, that is, the designated trolley stops working.

[0093] The aforementioned database is a database for storing various types of setting data established before the design of the trolley logistics management system and its method based on intelligent tracking and data analysis. The database includes but is not limited to the tracking timeliness evaluation threshold range, the maximum allowable synchronization delay time, the maximum allowable system response time, the data verification factor, the data real-time synchronization threshold range, the real-time status evaluation threshold range and the preset time period. The various numerical values ​​therein are directly set by technical personnel. Among them, the setting basis of the real-time status evaluation threshold range can be determined according to the actual logistics management scenario of the specified trolley. For example, the real-time status evaluation threshold range represents the range corresponding to the maximum and minimum values ​​of the historical real-time status evaluation indicators of the specified trolley in the database in each historical time period. In addition, the various numerical values ​​in the database can be set and fine-tuned by technical personnel according to actual debugging.

[0094] Specifically, the steps for obtaining the maximum and minimum values ​​of the historical real-time status evaluation index are as follows: the historical real-time status evaluation index is obtained by inputting the independent variables involved in the historical real-time status evaluation index of the specified trolley in the database in each historical time period (including the historical data real-time synchronization score, the historical left-end tightness score and the historical right-end tightness score) into the calculation formula of the real-time status evaluation index, and statistics are performed to obtain the maximum value and the minimum value of the historical real-time status evaluation index.

[0095] In an application scenario of an intelligent equipment management platform for automobile parts logistics, after the intelligent trolley is produced and put into storage, it has not yet been officially put into use, so the equipment is not turned on to save power. Before it is put into use after leaving the warehouse, the switch is turned on to turn it on. At this time, the equipment immediately reports a frame of information and enters normal working mode after 24 hours to reduce the interference information and power loss generated during the outbound process. Among them, the logistics intelligent equipment management platform includes an intelligent module with the functions of intelligent tracking, wireless communication and positioning, motion status judgment, power management and platform upgrade, which can realize the trolley life cycle management, such as Figure 2 , which is a structural block diagram of the intelligent module provided in an embodiment of the present application.

[0096] Specifically, the specific functions of each component in the intelligent module are as follows: the battery, as the energy source of the logistics intelligent equipment management platform, provides the required electrical energy for all components; 3-axis sensors (including accelerometers) are usually used to detect the motion state of electronic equipment, including direction, tilt and rotation, and can be used to realize automatic adjustment of equipment, game control, and health monitoring; the antenna is responsible for receiving and sending wireless signals, so that the logistics intelligent equipment management platform can communicate with the external network; the accelerometer is used to measure the acceleration changes of the logistics intelligent equipment management platform, which can be used to realize step counting, motion monitoring, and automatic screen rotation; the power management module is responsible for battery power management, including charging, discharging and power detection, to ensure that the equipment can be powered efficiently and safely; the single-chip microcomputer is the control center (i.e., the core controller) of the logistics intelligent equipment management platform, responsible for processing various input signals, executing control algorithms, and outputting corresponding control signals, realizing the intelligence and automation of the logistics intelligent equipment management platform; GPRS (General Packet Radio Service The SPI FLASH module (i.e., the universal wireless packet service module) is used to realize the remote transmission of data, so that the logistics intelligent equipment management platform can access the Internet or mobile communication network to send and receive data; the switch is used to control the on and off of the logistics intelligent equipment management platform to realize the startup and shutdown of the logistics intelligent equipment management platform; the SPI FLASH is a non-volatile memory used to store the firmware, configuration information, user data and programs of the logistics intelligent equipment management platform, and has the characteristics of fast reading and writing speed, low power consumption and large capacity; the eSIM card is an embedded SIM card used to provide connection services between the logistics intelligent equipment management platform and the communication network, so that users can conveniently use the mobile communication network.

[0097] like Figure 3As shown in the figure, it is a specific flow chart of the real-time working mode switching of the intelligent trolley provided in this embodiment, and the specific process is: (1) after 24 hours of startup (i.e., t>24h, where t is the startup time of the electronic device corresponding to the intelligent module), a platform report is sent. If the device is in a static state (i.e., shutdown mode) at this time, it is reported once every 24 hours (i.e., B_flag=1, t>24h, where B_flag=1 represents a successful report, and t is the reporting time interval of the electronic device in the shutdown mode). If the report fails, it is reported once every 12 hours (i.e., B_flag=0, t>12h, where B_flag=0 represents a failed report, and t is the reporting time interval of the electronic device in the shutdown mode) to improve the sending success rate. (2) When the device is in normal working mode, the vibration condition is determined once every 10 seconds, and a total of 180 times in a cycle of 30 minutes. If the number of vibrations exceeds half, that is, 90 times, it is determined to be in acceleration mode and the current position information is reported (i.e., shock>90, t>30m, where shock>90 means that the number of vibrations of the electronic device in one vibration cycle is greater than 90 times, and t is the vibration cycle of the electronic device in normal working mode); if the number of vibrations is less than 30 times in 30 minutes, it returns to a stationary state (i.e., shock<30, t>30m, where shock<30 means that the number of vibrations of the electronic device in one vibration cycle is less than 30 times, and t is the vibration cycle of the electronic device in normal working mode). (3) In the acceleration mode, the device reports a frame of information every 12 hours. If the report fails (i.e., L_flag=1, t>12h, where L_flag=1 represents a successful report of a frame of information, and t is the time interval for the electronic device to report information in the acceleration mode), a supplementary report will be made after 30 minutes (i.e., L_flag=0, t>30m, where L_flag=0 represents a failure to report a frame of information, and t is the time interval for the electronic device to report information in the acceleration mode) to ensure that the transfer route information can be recorded.

[0098] like Figure 4As shown, it is a flow chart of the trolley logistics management method based on intelligent tracking and data analysis provided in an embodiment of the present application. The trolley logistics management method based on intelligent tracking and data analysis provided in an embodiment of the present application includes the following steps: Step 1, real-time tracking and recording of the flow path and operation status of the designated trolley in the logistics area to be managed, and at the same time real-time recording of the loading, unloading and transshipment process of the designated trolley to obtain a tracking timeliness evaluation value, and the tracking timeliness evaluation value is used to evaluate the accuracy and real-time nature of the real-time status tracking of the goods carried by the designated trolley; Step 2, judging whether to obtain inventory information data based on the obtained tracking timeliness evaluation value, and if so, obtaining the data real-time synchronization score and judging whether to perform motion status analysis based on the obtained data real-time synchronization score, and judging whether to perform motion status analysis based on the obtained data real-time synchronization score. The first step score is used to evaluate the real-time synchronization degree of the inventory information data of the specified trolley during the data transmission process; in step three, if a motion state analysis is performed, the real-time working state of the specified trolley within the preset time period is monitored in real time according to the real-time synchronization score of the acquired data to obtain the real-time state evaluation index, and at the same time, based on the acquired real-time state evaluation index, it is determined whether to switch the real-time working mode. The real-time state evaluation index is used to evaluate the necessity of the real-time working mode switching of the specified trolley within the preset time period; in step four, if a real-time working mode switching is performed, the result of the real-time working mode switching is recorded and the changes of the inventory parameters of the specified trolley within the preset time period are monitored in real time to obtain inventory data, and corresponding inventory management measures are formulated according to the acquired inventory data.

[0099] In this embodiment, if Figure 5 As shown, it is a specific flow chart of the designated trolley logistics management provided in the embodiment of the present application, which covers the complete process from the proposal of the designated trolley logistics demand, to the loading, transportation, unloading, and transshipment of the designated trolley, and then to the feedback and processing of the final logistics information (i.e., inventory data), and at each key node, the trolley logistics management system collects, analyzes and processes data through intelligent means, which helps to achieve comprehensive, accurate and efficient tracking and control of trolley logistics management, thereby ensuring the accuracy and reliability of the trolley in the intelligent tracking process.

[0100] To summarize, the embodiment of the present application determines whether to obtain inventory information data through the obtained tracking timeliness evaluation value. If so, it determines whether to perform motion state analysis based on the real-time synchronization score of the obtained data, and then determines whether to perform real-time working mode switching based on the obtained real-time state evaluation index. Finally, the changes in inventory parameters of the specified trolley within a preset time period are monitored in real time to obtain inventory data and formulate corresponding inventory management measures, thereby achieving improved accuracy and real-time performance in the formulation of inventory management measures, and further achieving improved reliability in the logistics management of the trolley during the intelligent tracking process, effectively solving the problem of low reliability in the logistics management of the trolley during the intelligent tracking process in the prior art.

[0101] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0102] The present invention is described with reference to flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0103] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0104] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0105] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0106] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. The trolley logistics management system based on intelligent tracking and data analysis is characterized by: include: Cargo flow tracking module, inventory information acquisition module, movement status analysis module and inventory management module; The cargo flow tracking module is used to track and record the flow path and operation status of the designated trolley in the logistics area to be managed in real time, and to record the loading, unloading and transfer process of the designated trolley in real time to obtain the tracking timeliness evaluation value, which is used to evaluate the accuracy and real-time performance of the real-time status tracking of the cargo carried by the designated trolley; The inventory information acquisition module is used to determine whether to acquire inventory information data according to the acquired tracking timeliness evaluation value, and if so, to acquire the data real-time synchronization score and determine whether to perform motion state analysis based on the acquired data real-time synchronization score, and the data real-time synchronization score is used to evaluate the real-time synchronization degree of the inventory information data of the specified trolley during the data transmission process; The motion state analysis module is used to monitor the real-time working state of the specified trolley in a preset time period in real time according to the acquired data real-time synchronization score to obtain a real-time state evaluation index if the motion state analysis is performed, and at the same time judge whether to perform a real-time working mode switch based on the acquired real-time state evaluation index, and the real-time state evaluation index is used to evaluate the necessity of the real-time working mode switch of the specified trolley in the preset time period; The inventory management module is used to record the results of the real-time working mode switching and monitor the changes in the inventory parameters of the specified trolley within a preset time period in real time to obtain inventory data if a real-time working mode switching is performed, and to formulate corresponding inventory management measures based on the acquired inventory data.

2. The trolley logistics management system based on intelligent tracking and data analysis as claimed in claim 1, characterized in that: The motion state analysis is used to track and record the motion state of the designated trolley at the transfer point in real time; The movement status includes in-warehouse, out-warehouse and in-warehouse; The real-time working mode includes an acceleration mode, a deceleration mode and a shutdown mode; The inventory parameters include inventory quantity and cargo turnover rate; The inventory data includes inventory turnover quantity and retention time of stranded inventory; The inventory management measures include allocating and prioritizing goods on designated carts before shipment.

3. The trolley logistics management system based on intelligent tracking and data analysis as claimed in claim 1, characterized in that: The tracking timeliness evaluation value is obtained by processing the loading and unloading timeliness evaluation value, the loading and unloading timeliness evaluation value weight factor, the transshipment timeliness evaluation value, and the transshipment timeliness evaluation value weight factor; The loading and unloading timeliness evaluation value is obtained by the loading and unloading time score and the first data entry delay rate; The transit timeliness evaluation value is obtained by the transit time score, the cargo mismatch rate score and the second data entry delay rate; The loading and unloading time score represents the ratio of the absolute value of the difference between the actual loading and unloading time after loading and unloading is completed and the reference loading and unloading time in the database to the reference loading and unloading time in the database; The first data entry delay rate is obtained by comparing the first entry duration with the reference average first entry duration in the database, wherein the first entry duration is the duration of the actual loading and unloading duration being entered into the warehouse management unit; The transit time score represents the ratio of the absolute value of the difference between the actual transit time after the transit is completed and the reference transit time in the database to the reference transit time in the database; The cargo mismatch rate score represents the complement of the ratio of the number of cargoes transferred incorrectly to the total number of cargoes to be transferred, where the number of cargoes transferred incorrectly is the sum of the number of cargoes incorrectly allocated and the number of cargoes incorrectly loaded; The second data entry delay rate is obtained by comparing the second entry time with the reference average second entry time in the database, and the second entry time is the time for entering the actual transit time into the warehouse management unit.

4. The trolley logistics management system based on intelligent tracking and data analysis as claimed in claim 1, characterized in that: The specific process of determining whether to obtain inventory information data according to the obtained tracking timeliness evaluation value is as follows: Determine whether the obtained tracking timeliness evaluation value is within the tracking timeliness evaluation threshold range. If so, integrate the real-time recorded inventory information with the warehouse management unit in the inventory management module to obtain inventory information data. Otherwise, re-acquire the inventory information data. The inventory information data includes the cargo delivery time, cargo storage location, and the number of turnover boxes on a designated trolley and the storage status of the turnover boxes.

5. The trolley logistics management system based on intelligent tracking and data analysis as claimed in claim 1, characterized in that: The steps for obtaining the data real-time synchronization score are: Obtain the synchronization delay time, determine whether the obtained synchronization delay time is less than the maximum allowable synchronization delay time in the database, and if so, obtain a synchronization delay time score, where the synchronization delay time score is the ratio of the synchronization delay time to the maximum allowable synchronization delay time in the database, and the synchronization delay time is the time between the acquisition of inventory information data and the receipt by the warehouse management unit; Real-time monitoring of the data update frequency and unit response time of the warehouse management unit within a preset time period, determining whether the unit response time is less than the maximum allowed unit response time in the database, and if so, obtaining a unit response time score, the unit response time score being the ratio of the unit response time to the maximum allowed unit response time, the unit response time being the time it takes for the warehouse management unit to respond and provide feedback after receiving a request for inventory information data; A preset data verification factor is obtained from the database of the warehouse management unit. At the same time, at the end of the preset time period, the data synchronization success rate is obtained, and the data real-time synchronization score is obtained by combining the obtained synchronization delay duration score, data update frequency and unit response duration score. The data synchronization success rate is the ratio of the number of inventory information data successfully synchronized to the warehouse management unit to the total number of inventory information data.

6. The trolley logistics management system based on intelligent tracking and data analysis as claimed in claim 5, characterized in that: The specific limiting expression of the data real-time synchronization score is: ； In the formula, e is a natural constant, Indicates the real-time synchronization score of inventory information data during data transmission in the warehouse management unit. Indicates the unit response time score of the warehouse management unit during the data transmission process of inventory information data. Indicates the unit response time of the corresponding warehouse management unit during the data transmission process of inventory information data. Indicates the maximum allowed unit response time, Indicates the data update frequency of the warehouse management unit during the data transmission process of inventory information data. Indicates the data verification factor of the warehouse management unit during the data transmission process of inventory information data. Indicates the successful synchronization rate of inventory information data during data transmission in the warehouse management unit. Indicates the synchronization delay fraction of inventory information data during data transmission in the warehouse management unit. Indicates the synchronization delay duration of inventory information data during data transmission in the warehouse management unit. Indicates the maximum allowed synchronization delay. It indicates the tracking timeliness evaluation value of the specified trolley during the working process. Indicates the threshold range for tracking timeliness evaluation.

7. The trolley logistics management system based on intelligent tracking and data analysis as claimed in claim 1, characterized in that: The specific process of determining whether to perform motion state analysis based on the acquired data real-time synchronization score is as follows: Determine whether the acquired data real-time synchronization score is within the data real-time synchronization threshold range, if so, perform motion state analysis, otherwise do not perform motion state analysis and adjust the data transmission parameters of the warehouse management unit; The specific process of the motion state analysis is as follows: Real-time monitoring of the turnover rate of the turnover boxes in the specified trolley within the preset time period: If the turnover rate increases at the next working moment, it is determined to be in storage status; If the turnover rate decreases at the next working moment, it is determined to be in the outbound state; If the turnover rate remains unchanged at the next working moment, it is determined to be in inventory.

8. The trolley logistics management system based on intelligent tracking and data analysis as claimed in claim 1, characterized in that: The real-time status evaluation index is obtained by the following method: Real-time monitoring of the vibration frequency of the fork frame of the designated trolley at the working time and obtaining a vibration frequency score in combination with the maximum allowable vibration frequency in the database, wherein the vibration frequency score is the ratio of the vibration frequency to the maximum allowable vibration frequency; Monitor the tightness of the left and right fixing screws of the fork frame of the specified trolley in real time at the working moment. When the tightness of the left fixing screw is greater than the reference tightness of the left fixing screw and the tightness of the right fixing screw is greater than the reference tightness of the right fixing screw, combine the initial tightness of the left fixing screw and the initial tightness of the right fixing screw to obtain the left tightness score and the right tightness score; The acquired data real-time synchronization score, vibration frequency score, left end tightness score and right end tightness score are processed respectively to obtain real-time status evaluation indicators; The left end tightness score is the ratio of the difference between the initial left end fixing screw tightness and the left end fixing screw tightness to the initial left end fixing screw tightness; The right end tightness score is the ratio of the difference between the initial right end fixing screw tightness and the right end fixing screw tightness to the initial right end fixing screw tightness.

9. The trolley logistics management system based on intelligent tracking and data analysis as claimed in claim 1, characterized in that: The specific process of judging whether to switch the real-time working mode based on the acquired real-time status evaluation index is as follows: Determine whether the acquired real-time status evaluation index is within the real-time status evaluation threshold range, if so, do not switch the real-time working mode, otherwise switch the real-time working mode; The specific steps of real-time working mode switching are: If the obtained real-time status evaluation index is not greater than the minimum value of the historical real-time status evaluation index, the real-time working mode of the corresponding designated trolley is switched from the normal working mode to the acceleration mode; If the real-time status evaluation index obtained is not less than the maximum value of the historical real-time status evaluation index, the vibration frequency of the designated trolley fork frame during the working process is monitored in real time to determine whether the vibration frequency at the working moment is not greater than the maximum allowable vibration frequency in the database. If so, the real-time working mode of the corresponding designated trolley is switched from the normal working mode to the deceleration mode, otherwise the real-time working mode of the corresponding designated trolley is switched from the normal working mode to the shutdown mode; The normal working mode indicates that the acquired real-time status evaluation index corresponds to the real-time working mode of the specified trolley within the real-time status evaluation threshold range.

10. A trolley logistics management method based on intelligent tracking and data analysis, characterized in that: The following steps are involved: Step 1: real-time tracking and recording of the flow path and operation status of the designated trolley in the logistics area to be managed, and real-time recording of the loading, unloading and transfer process of the designated trolley to obtain a tracking timeliness evaluation value, which is used to evaluate the accuracy and real-time tracking of the real-time status of the goods carried by the designated trolley; Step 2: determine whether to obtain inventory information data according to the obtained tracking timeliness evaluation value. If so, obtain the data real-time synchronization score and determine whether to perform motion state analysis based on the obtained data real-time synchronization score. The data real-time synchronization score is used to evaluate the real-time synchronization degree of the inventory information data of the specified trolley during the data transmission process. Step three, if motion state analysis is performed, the real-time working state of the designated trolley within a preset time period is monitored in real time according to the acquired data real-time synchronization score to obtain a real-time state evaluation index, and at the same time, based on the acquired real-time state evaluation index, it is determined whether to perform a real-time working mode switch, and the real-time state evaluation index is used to evaluate the necessity of the real-time working mode switch of the designated trolley within the preset time period; Step 4: If a real-time working mode switch is performed, the result of the real-time working mode switch is recorded and the changes in the inventory parameters of the specified trolley within a preset time period are monitored in real time to obtain inventory data, and corresponding inventory management measures are formulated based on the obtained inventory data.

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