Logistics sorting efficiency detection system based on data analysis

Abstract

The invention discloses a logistics sorting efficiency detection system based on data analysis, and the system comprises a network information module which is used for a remote mobile terminal to access system data through a network, an account auditing unit which is used for the remote mobile terminal to input user information and carry out the login of a user identity; the logistics database is used for inputting all logistics package data; the unloading efficiency detection unit is used for identifying and detecting logistics package information of an unloading area and counting the number of the area; the sorting efficiency detection unit is used for identifying and detecting logistics package information of the sorting areas and counting the number of the areas; the loading efficiency detection unit is used for identifying and detecting logistics package information of loading areas and counting the number of the areas; the method has the beneficial effects that the logistics parcel delivery time is estimated through statistics of the unloading amount, the sorting amount and the loading amount, the method is more accurate, and the time floating is small.

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 detection system is a system used to evaluate and monitor logistics sorting efficiency. It can detect and evaluate the efficiency of the sorting process in a variety of ways, including but not limited to the following aspects: Data collection and analysis: The system can collect and record data such as the number of packages, the working hours and speed of warehouse employees, and use data analysis methods to process and analyze these data to evaluate the sorting efficiency; Process monitoring: The system can monitor the entire logistics sorting process, including the arrival of goods at the warehouse, the actual operation of warehouse employees, and the delivery of packages; Through real-time monitoring, various problems that may affect the sorting efficiency can be discovered and solved; 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: The system can provide training and guidance to warehouse employees based on the evaluation results of sorting efficiency 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 situation and trend of sorting efficiency. Based on these reports, managers can make decisions and 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 recognize, resulting in an increase in the package 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 the present 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 increase in the packet loss rate, and the prediction time for the logistics package is not accurate enough and still has a large floating 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: Network information module, used for remote mobile terminals to access system data through the network; The account audit unit is used to input user information and log in the user identity through the remote mobile terminal; Logistics database, used to enter all logistics package data; The unloading efficiency detection unit is used to identify and detect the logistics package information of the unloading area and count the number of packages in the area; A sorting efficiency detection unit, which is used to identify and detect the logistics package information of 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 index 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 index analysis and processing based on the logistics package information; 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.

[0006] 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 the package logistics information, the RFID identifier is used to identify the package logistics information through wireless radio frequency, and 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.

[0007] Furthermore, the process of the indicator analysis and processing is: Set the time range to obtain the statistical data of the unloading efficiency detection unit, sorting efficiency detection unit, and loading efficiency detection unit within one year; Arrange the statistical data of each day 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 the sorting efficiency detection unit every day in a year from small to large, and extract the maximum value of the sorting efficiency detection unit in a year; Arrange the statistical data of the loading efficiency detection unit every day 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 dividing the maximum value of the sorting efficiency detection unit within a year by the maximum value of the unloading efficiency detection unit within a year. 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.

[0008] Furthermore, the logistics budget processing method is: According to the maximum value of the unloading efficiency detection unit in one year, the amount of logistics that can be unloaded and processed in one day is obtained; According to the maximum value of the sorting efficiency detection unit in one year, the amount of logistics that can be sorted and processed in one day is obtained; According to the maximum value of the loading efficiency detection unit in one year, the amount of logistics that can be loaded and processed in one day and the time it takes to load and process the logistics amount are obtained; Add the time required for loading and transportation to the time required to complete the process, and you will get the delivery time for the batch of logistics.

[0009] Furthermore, the logistics database is also used for calculating and processing the packet loss rate, and 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 fails, it is marked as 1. In this way, the total number of unsuccessful comparisons is accumulated to finally 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.

[0010] Furthermore, the account review unit stores user identity information for information review when the user logs in.

[0011] Furthermore, the information in the logistics database is kept for five years, and data older than five years is automatically overwritten by new data.

[0012] Compared with the prior art, the present invention has the following beneficial effects: 1. According to the maximum value of the unloading efficiency detection unit within a year, the amount of logistics that can be unloaded and processed in one day is obtained; according to the maximum value of the sorting efficiency detection unit within a year, the amount of logistics that can be sorted and processed in one day is obtained; according to the maximum value of the loading efficiency detection unit within a year, the amount of logistics that can be loaded and processed in one day and the time it takes to load and process the logistics are obtained; the time it takes to load and process is added to the transportation time to obtain the delivery time of the batch of logistics. Through this budgeting method, the actual delivery time fluctuates less and the timing is more accurate.

[0013] 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 the barcode scanning recognition or the RFID recognition, the two recognition methods can be used in coordination, which makes the detection more stable and reliable, avoiding the problem of packet loss caused by abnormalities in a single recognition detection method. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0015] Figure 1 It is a system composition diagram of the present invention. DETAILED DESCRIPTION

[0016] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] See also Figure 1 As shown, a logistics sorting efficiency detection system based on data analysis includes: Network information module, used for remote mobile terminals to access system data through the network; The account audit unit is used to input user information and log in the user identity through the remote mobile terminal; Logistics database, used to enter all logistics package data; Among them, the account review unit stores user identity information, which is used 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. When the information of the two corresponds, the login is successful, and the mobile user can access the information in the logistics database; The system also includes an unloading efficiency detection unit, which is used to identify and detect the logistics package information of the unloading area and count the number of the area; a sorting efficiency detection unit, which is used to identify and detect the logistics package information of the sorting area and count the number of the area; a loading efficiency detection unit, which is used to identify and detect the logistics package information of the loading area and count the number of the area; an index analysis unit, which 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 index analysis and processing based on the logistics package information; 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 the arrangement method is from small to large, and the maximum value of the unloading efficiency detection unit within one year is extracted; arrange the statistical data of the sorting efficiency detection unit every day within one year, and the arrangement method is from small to large, and the maximum value of the sorting efficiency detection unit within one year is extracted; arrange the statistical data of the loading efficiency detection unit every day within one year, and the arrangement method is from small to large, and the maximum value of the loading efficiency detection unit within one year is extracted; the difference value between the two can be obtained by the maximum value of the sorting efficiency detection unit within one year - the maximum value of the unloading efficiency detection unit within one year; the difference value between the two can be obtained by the maximum value of the loading efficiency detection unit within one year - the maximum value of the sorting efficiency detection unit within one year, and finally the above content is displayed on the display screen.

[0018] The logistics volume prediction unit is used to perform logistics budget processing based on the index analysis processing results of the index analysis unit and the logistics package data stored in the logistics database; The logistics budget processing method is as follows: according to 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 within a year, the logistics volume that can be sorted and processed within a day is obtained; according to the maximum value of the loading efficiency detection unit within a year, the logistics volume that can be loaded and processed within a day is obtained, and the time required for loading and processing of 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 this batch of logistics; 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 get the final delivery time of the batch of logistics. It means that out of the total number of 10,000 logistics items on that day, 4,000 items have a delivery time of three days + transportation time. Since there is an 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 remaining 1,000 items are three days + three days + one day + transportation time. Through this budgeting method, the actual delivery time fluctuates less and the timing is more accurate.

[0019] 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 parcel logistics information, and the RFID identifier is used to identify the parcel logistics information through wireless radio frequency. The identification and statistics unit is used to search and compare the parcel logistics information returned by the barcode scanner or the parcel logistics information returned by the RFID identifier with the logistics parcel data entered into the logistics database, and update the corresponding parcel logistics information after the search and comparison is successful. As long as the search and comparison is completed by either the barcode scanning identification or the RFID identification, the two identification methods are coordinated and operated, which is more stable and reliable during detection, and avoids the problem of packet loss caused by abnormalities in a single identification and detection method; The logistics database is also used for calculating and processing the packet loss rate. The specific processing method is: 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, and the total number of unsuccessful comparisons is divided by the total number of comparisons to obtain the unloading packet loss rate. Compare the logistics identification information fed back by the sorting efficiency detection unit with the pre-stored logistics information. If the comparison fails, it is marked as 1. In this way, the total number of unsuccessful comparisons is accumulated to finally 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.

[0020] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. 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; The account audit unit is used to input user information and log in the user identity through the remote mobile terminal; Logistics database, used to enter all logistics package data; The unloading efficiency detection unit is used to identify and detect the logistics package information of the unloading area and count the number of packages in the area; A sorting efficiency detection unit, which is used to identify and detect the logistics package information of 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 index 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 index analysis and processing based on the logistics package information; 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.

2. According to claim 1, a logistics sorting efficiency detection system based on data analysis is 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. A logistics sorting efficiency detection system based on data analysis according to claim 2, characterized in that: The process of the indicator analysis and processing is as follows: Set the time range to obtain the statistical data of the unloading efficiency detection unit, sorting efficiency detection unit, and loading efficiency detection unit within one year; Arrange the statistical data of each day 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 the sorting efficiency detection unit every day in a year from small to large, and extract the maximum value of the sorting efficiency detection unit in a year; Arrange the statistical data of the loading efficiency detection unit every day 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 detection unit within a year from the maximum value of the unloading efficiency detection unit within a year. The difference between the two can be obtained by subtracting the maximum value of the sorting efficiency detection unit within a year from the maximum value of the loading efficiency detection unit within a year.

4. A logistics sorting efficiency detection system based on data analysis according to claim 3, characterized in that: The logistics budget processing method is as follows: According to the maximum value of the unloading efficiency detection unit in one year, the amount of logistics that can be unloaded and processed in one day is obtained; According to the maximum value of the sorting efficiency detection unit in one year, the amount of logistics that can be sorted and processed in one day is obtained; According to the maximum value of the loading efficiency detection unit in one year, the amount of logistics that can be loaded and processed in one day and the time it takes to load and process the logistics amount are obtained; Add the time required for loading and transportation to the time required to complete the process, and you will get the delivery time for the batch of logistics.

5. A logistics sorting efficiency detection system based on data analysis according to claim 4, characterized in that: The logistics database is also used for calculating the packet loss rate, and 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 fails, 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.

6. A logistics sorting efficiency detection system based on data analysis according to claim 5, characterized in that: The account review unit stores user identity information for information review when the user logs in.

7. A logistics sorting efficiency detection system based on data analysis according to claim 6, 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.

Images