A logistics sorting efficiency detection system based on data analysis

Abstract

The application discloses a logistics sorting efficiency detection system based on data analysis, which comprises a network information module, an account auditing unit, a logistics database, an unloading efficiency detection unit, a sorting efficiency detection unit and a loading efficiency detection unit.

Description

Technical Field

[0001] The present invention relates to the field of logistics sorting efficiency detection, and in particular to a logistics sorting efficiency detection system based on data analysis. Background Art

[0002] The logistics sorting efficiency monitoring system is a system used to evaluate and monitor logistics sorting efficiency. It can monitor and evaluate the efficiency of the sorting process through various methods, including but not limited to the following: Data Collection and Analysis: The system can collect and record data such as the number of packages, warehouse employee work time and speed, and use data analysis methods to process and analyze this data to evaluate sorting efficiency. Process Monitoring: The system can monitor the entire logistics sorting process, including the arrival of goods at the warehouse, the actual operations of warehouse employees, and the departure of packages. Through real-time monitoring, various issues that may affect sorting efficiency can be identified and resolved. Automatic Identification Technology: The system can use automatic identification technology such as barcode scanning or RFID technology to quickly and accurately identify and classify packages to improve sorting efficiency. Personnel Training and Management: Based on the sorting efficiency evaluation results, the system can provide training and guidance to warehouse employees to help them improve their work efficiency. At the same time, the system can also help managers evaluate and manage employee performance. Efficiency Reporting and Improvement: The system can generate various reports and statistical data to evaluate the status and trends of sorting efficiency. Based on these reports, managers can make decisions and implement improvement measures to improve logistics sorting efficiency.

[0003] Currently, the method for detecting logistics packages is a single barcode scanning or radio frequency identification, which has the problem of being unable to identify, resulting in an increase in the packet loss rate. In addition, the prediction time for logistics packages is not accurate enough and still has a large fluctuation. Summary of the Invention

[0004] The purpose of this invention is to solve the problem that the current logistics package detection method is a single barcode scanning or radio frequency identification, which has the problem of being unable to recognize, resulting in an increased packet loss rate, and the prediction time for logistics packages is not accurate enough and still has a large fluctuation problem.

[0005] The purpose of the present invention can be achieved through the following technical solutions: A logistics sorting efficiency detection system based on data analysis, comprising:

[0006] Network information module, used for remote mobile terminals to access system data through the network;

[0007] Account review unit, used to input user information and log in user identity via remote mobile terminal;

[0008] Logistics database, used to enter all logistics package data;

[0009] Unloading efficiency detection unit, used to identify and detect logistics package information in the unloading area and count the number of packages in the area;

[0010] Sorting efficiency detection unit, used to identify and detect logistics package information in the sorting area and count the number of packages in the area;

[0011] The loading efficiency detection unit is used to identify and detect the logistics package information in the loading area and count the number of packages in the area;

[0012] The indicator analysis unit is used to obtain the logistics package information fed back by the unloading efficiency detection unit, the sorting efficiency detection unit, and the loading efficiency detection unit, and perform indicator analysis and processing based on the logistics package information;

[0013] The logistics volume prediction unit is used to perform logistics budget processing based on the indicator analysis processing results of the indicator analysis unit and the logistics package data stored in the logistics database.

[0014] Furthermore, the unloading efficiency detection unit, the sorting efficiency detection unit, and the loading efficiency detection unit are all composed of a barcode scanner, an RFID identifier, and an identification and statistics unit. The barcode scanner is used to scan and identify package logistics information, and the RFID identifier is used to identify package logistics information through wireless radio frequency. The identification and statistics unit is used to search and compare the package logistics information returned by the barcode scanner or the package logistics information returned by the RFID identifier with the logistics package data entered into the logistics database, and update the corresponding package logistics information after the search and comparison is successful.

[0015] Furthermore, the process of the indicator analysis and processing is:

[0016] Set the time range to obtain statistical data for the unloading efficiency detection unit, sorting efficiency detection unit, and loading efficiency detection unit within one year;

[0017] Arrange the daily statistical data of the unloading efficiency detection unit in a year from small to large, and extract the maximum value of the unloading efficiency detection unit in a year;

[0018] Arrange the statistical data of each day of the sorting efficiency detection unit in a year from small to large, and extract the maximum value of the sorting efficiency detection unit in a year;

[0019] Arrange the daily statistical data of the loading efficiency detection unit in a year from small to large, and extract the maximum value of the loading efficiency detection unit in a year;

[0020] The difference between the two can be obtained by dividing the maximum value of the sorting efficiency test unit within a year by the maximum value of the unloading efficiency test unit within a year.

[0021] The difference between the two can be obtained by subtracting the maximum value of the loading efficiency detection unit within a year from the maximum value of the sorting efficiency detection unit within a year.

[0022] Furthermore, the logistics budget processing method is:

[0023] Based on the maximum value of the unloading efficiency detection unit within a year, the logistics volume that can be unloaded and processed within a day is obtained;

[0024] According to the maximum value of the sorting efficiency detection unit in one year, the logistics volume that can be sorted and processed in one day is obtained;

[0025] Based on the maximum value of the loading efficiency detection unit in one year, the logistics volume that can be loaded and processed in one day and the time it takes to load and process this logistics volume are obtained;

[0026] Add the time required for loading and processing to the transportation time to obtain the delivery time of the batch of logistics.

[0027] Furthermore, the logistics database is also used for calculating the packet loss rate, and the specific processing method is as follows:

[0028] Compare the logistics identification information fed back by the unloading efficiency detection unit with the pre-stored logistics information. If the comparison is unsuccessful, it is marked as 1. In this way, the total number of unsuccessful comparisons is accumulated to obtain the total number of unsuccessful comparisons. The unloading packet loss rate is obtained by dividing the total number of unsuccessful comparisons by the total number of comparisons.

[0029] Compare the logistics identification information fed back by the sorting efficiency detection unit with the pre-stored logistics information. If the comparison is unsuccessful, it is marked as 1. In this way, the total number of unsuccessful comparisons is accumulated to obtain the total number of unsuccessful comparisons. The total number of unsuccessful comparisons divided by the total number of comparisons is used to obtain the sorting packet loss rate.

[0030] The logistics identification information fed back by the loading efficiency detection unit is compared with the pre-stored logistics information. If the comparison is unsuccessful, it is marked as 1. In this way, the total number of unsuccessful comparisons is accumulated to obtain the total number of unsuccessful comparisons. The loading packet loss rate is obtained by dividing the total number of unsuccessful comparisons by the total number of comparisons.

[0031] Furthermore, the account review unit stores user identity information for information review when the user logs in.

[0032] Furthermore, the information in the logistics database is kept for five years, and data older than five years is automatically overwritten by new data.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] 1. Based on the maximum value of the unloading efficiency test unit within a year, the logistics volume that can be unloaded and processed in a day is calculated. Based on the maximum value of the sorting efficiency test unit within a year, the logistics volume that can be sorted and processed in a day is calculated. Based on the maximum value of the loading efficiency test unit within a year, the logistics volume that can be loaded and processed in a day and the time required for loading and processing this logistics volume are calculated. The time required for loading and processing is added to the transportation time to obtain the delivery time of the logistics batch. Through this budgeting method, the actual delivery time fluctuates less and the timing is more accurate.

[0035] 2. The identification and statistics unit is used to search and compare the parcel logistics information returned by the barcode scanner or the RFID identifier with the logistics parcel data entered into the logistics database. After the search and comparison is successful, the corresponding parcel logistics information is updated. As long as the search and comparison is completed by either barcode scanning or RFID recognition, the two identification methods can be used in conjunction, making the detection more stable and reliable, and avoiding the problem of packet loss caused by abnormalities in a single identification detection method. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0037] Figure 1 It is a system composition diagram of the present invention. DETAILED DESCRIPTION

[0038] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0039] See also Figure 1 As shown, a logistics sorting efficiency detection system based on data analysis includes:

[0040] Network information module, used for remote mobile terminals to access system data through the network;

[0041] Account review unit, used to input user information and log in user identity via remote mobile terminal;

[0042] Logistics database, used to enter all logistics package data;

[0043] Among them, the account review unit stores user identity information for information review when the user logs in. The information in the logistics database is kept for five years, and data older than five years is automatically overwritten by new data. When in use, the user login information is input into the account review unit through the mobile terminal and the network information module. The account review unit compares the input information with the pre-stored data. If the two information correspond, the login is successful and the mobile user can access the information in the logistics database.

[0044] The system also includes an unloading efficiency detection unit for identifying and detecting logistics package information in the unloading area and counting the number of packages in the area; a sorting efficiency detection unit for identifying and detecting logistics package information in the sorting area and counting the number of packages in the area; a loading efficiency detection unit for identifying and detecting logistics package information in the loading area and counting the number of packages in the area; an indicator analysis unit for obtaining logistics package information fed back by the unloading efficiency detection unit, the sorting efficiency detection unit, and the loading efficiency detection unit, and performing indicator analysis and processing based on the logistics package information;

[0045] The process of indicator analysis and processing is as follows: set the time range, and obtain the statistical data of the unloading efficiency detection unit, the sorting efficiency detection unit, and the loading efficiency detection unit within one year respectively; arrange the statistical data of the unloading efficiency detection unit every day within one year, and arrange them from small to large, and extract the maximum value of the unloading efficiency detection unit within one year; arrange the statistical data of the sorting efficiency detection unit every day within one year, and arrange them from small to large, and extract the maximum value of the sorting efficiency detection unit within one year; arrange the statistical data of the loading efficiency detection unit every day within one year, and arrange them from small to large, and extract the maximum value of the loading efficiency detection unit within one year; the difference between the two can be obtained by subtracting the maximum value of the unloading efficiency detection unit within one year from the maximum value of the sorting efficiency detection unit within one year; the difference between the two can be obtained by subtracting the maximum value of the loading efficiency detection unit within one year from the maximum value of the sorting efficiency detection unit within one year, and finally the above content is displayed on the display screen.

[0046] The logistics volume forecasting unit is used to perform logistics budget processing based on the indicator analysis results of the indicator analysis unit and the logistics package data stored in the logistics database;

[0047] The logistics budget is processed as follows: Based on the maximum value of the unloading efficiency test unit within a year, the logistics volume that can be unloaded and processed within a day is calculated; based on the maximum value of the sorting efficiency test unit within a year, the logistics volume that can be sorted and processed within a day is calculated; based on the maximum value of the loading efficiency test unit within a year, the logistics volume that can be loaded and processed within a day is calculated. The time required for loading and processing this logistics volume is three days; the time required for loading and processing is added to the transportation time to obtain the delivery time of the logistics batch.

[0048] In specific use, the total number of logistics entered on that day is 10,000, and the maximum value of the unloading efficiency detection unit within a year is 5,000, the maximum value of the sorting efficiency detection unit within a year is 4,000, and the maximum value of the loading efficiency detection unit within a year is 4,000. The loading time of 4,000 packages is three days, and then three days + transportation time are added to obtain the final delivery time of this batch of logistics. This means that out of the total number of 10,000 logistics items on that day, the delivery time of 4,000 items is three days + transportation time. However, due to the error between the maximum value of the sorting efficiency detection unit within a year and the maximum value of the unloading efficiency detection unit within a year, the delivery time of the remaining 1,000 items is three days + transportation time + one day. The delivery time of the remaining 4,000 items out of 10,000 items is three days + three days + transportation time, and the delivery time of the remaining 1,000 items is three days + three days + one day + transportation time. Through this budgeting method, the actual delivery time fluctuates less and the timing is more accurate.

[0049] The above-mentioned unloading efficiency detection unit, sorting efficiency detection unit, and loading efficiency detection unit are all composed of a barcode scanner, an RFID identifier, and an identification and statistics unit. The barcode scanner is used to scan and identify the package logistics information. The RFID identifier is used to identify the package logistics information through wireless radio frequency. The identification and statistics unit is used to search and compare the package logistics information returned by the barcode scanner or the package logistics information returned by the RFID identifier with the logistics package data entered in the logistics database. After the search and comparison is successful, the corresponding package logistics information is updated. As long as the search and comparison is completed by either the barcode scanning or the RFID identification, the two identification methods can be used in conjunction, which is more stable and reliable during detection, avoiding the problem of packet loss caused by abnormalities in a single identification detection method.

[0050] The logistics database is also used to calculate the packet loss rate. The specific processing method is: the logistics identification information fed back by the unloading efficiency detection unit is compared with the pre-stored logistics information. If the comparison is unsuccessful, it is marked as 1. This method is accumulated to finally obtain the total number of unsuccessful comparisons. The total number of unsuccessful comparisons is divided by the total number of comparisons to obtain the unloading packet loss rate.

[0051] Compare the logistics identification information fed back by the sorting efficiency detection unit with the pre-stored logistics information. If the comparison is unsuccessful, it is marked as 1. In this way, the total number of unsuccessful comparisons is accumulated to obtain the total number of unsuccessful comparisons. The total number of unsuccessful comparisons divided by the total number of comparisons is used to obtain the sorting packet loss rate.

[0052] The logistics identification information fed back by the loading efficiency detection unit is compared with the pre-stored logistics information. If the comparison is unsuccessful, it is marked as 1. In this way, the total number of unsuccessful comparisons is accumulated to obtain the total number of unsuccessful comparisons. The loading packet loss rate is obtained by dividing the total number of unsuccessful comparisons by the total number of comparisons.

[0053] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to the specific embodiments described. Obviously, many modifications and variations are possible based on the content of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A logistics sorting efficiency detection system based on data analysis, characterized in that: include: Network information module, used for remote mobile terminals to access system data through the network; Account review unit, used to input user information and log in user identity via remote mobile terminal; Logistics database, used to enter all logistics package data; Unloading efficiency detection unit, used to identify and detect logistics package information in the unloading area and count the number of packages in the area; Sorting efficiency detection unit, used to identify and detect logistics package information in the sorting area and count the number of packages in the area; The loading efficiency detection unit is used to identify and detect the logistics package information in the loading area and count the number of packages in the area; The indicator analysis unit is used to obtain the logistics package information fed back by the unloading efficiency detection unit, the sorting efficiency detection unit, and the loading efficiency detection unit, and perform indicator analysis and processing based on the logistics package information; The logistics volume forecasting unit is used to perform logistics budget processing based on the indicator analysis results of the indicator analysis unit and the logistics package data stored in the logistics database; The process of indicator analysis and processing is as follows: Set the time range to obtain statistical data for the unloading efficiency detection unit, sorting efficiency detection unit, and loading efficiency detection unit within one year; Arrange the daily statistical data of the unloading efficiency detection unit in a year from small to large, and extract the maximum value of the unloading efficiency detection unit in a year; Arrange the statistical data of each day of the sorting efficiency detection unit in a year from small to large, and extract the maximum value of the sorting efficiency detection unit in a year; Arrange the daily statistical data of the loading efficiency detection unit in a year from small to large, and extract the maximum value of the loading efficiency detection unit in a year; The difference between the two can be obtained by subtracting the maximum value of the sorting efficiency test unit within a year from the maximum value of the unloading efficiency test unit within a year. The difference between the maximum value of the loading efficiency test unit in one year and the maximum value of the sorting efficiency test unit in one year can be obtained; The logistics budget processing method is as follows: Based on the maximum value of the unloading efficiency detection unit within a year, the logistics volume that can be unloaded and processed within a day is obtained; According to the maximum value of the sorting efficiency detection unit in one year, the logistics volume that can be sorted and processed in one day is obtained; Based on the maximum value of the loading efficiency detection unit in one year, the logistics volume that can be loaded and processed in one day and the time it takes to load and process this logistics volume are obtained; Add the time required for loading and handling to the transportation time to get the delivery time of the logistics batch; The logistics database is also used to calculate the packet loss rate. The specific processing method is as follows: Compare the logistics identification information fed back by the unloading efficiency detection unit with the pre-stored logistics information. If the comparison is unsuccessful, it is marked as 1. In this way, the total number of unsuccessful comparisons is accumulated to obtain the total number of unsuccessful comparisons. The unloading packet loss rate is obtained by dividing the total number of unsuccessful comparisons by the total number of comparisons. Compare the logistics identification information fed back by the sorting efficiency detection unit with the pre-stored logistics information. If the comparison is unsuccessful, it is marked as 1. In this way, the total number of unsuccessful comparisons is accumulated to obtain the total number of unsuccessful comparisons. The total number of unsuccessful comparisons divided by the total number of comparisons is used to obtain the sorting packet loss rate. The logistics identification information fed back by the loading efficiency detection unit is compared with the pre-stored logistics information. If the comparison is unsuccessful, it is marked as 1. In this way, the total number of unsuccessful comparisons is accumulated to obtain the total number of unsuccessful comparisons. The loading packet loss rate is obtained by dividing the total number of unsuccessful comparisons by the total number of comparisons.

2. A logistics sorting efficiency detection system based on data analysis according to claim 1, characterized in that: The unloading efficiency detection unit, the sorting efficiency detection unit, and the loading efficiency detection unit are all composed of a barcode scanner, an RFID identifier, and an identification and statistics unit. The barcode scanner is used to scan and identify package logistics information, and the RFID identifier is used to identify package logistics information through wireless radio frequency. The identification and statistics unit is used to search and compare the package logistics information returned by the barcode scanner or the package logistics information returned by the RFID identifier with the logistics package data entered into the logistics database, and update the corresponding package logistics information after the search and comparison is successful.

3. The logistics sorting efficiency detection system based on data analysis according to claim 1 is characterized in that: The account audit unit stores user identity information for information audit when the user logs in.

4. A logistics sorting efficiency detection system based on data analysis according to claim 3, characterized in that: The information in the logistics database is kept for five years, and data older than five years will be automatically overwritten by new data.

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