The present invention will be described in further detail below in conjunction with the accompanying drawings, wherein the same components are represented by the same reference numerals. It should be noted that the words "front", "rear", "left" and "right" used in the following description , "upper" and "lower", "bottom" and "top" refer to directions in the drawings, and the words "inner" and "outer" refer to directions toward or away from the geometric center of a particular component, respectively.
 The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative work all belong to the protection scope of the present invention.
 see figure 1, the present invention provides a technical solution: including an estimated distribution system, the electrical signals at the output end of the estimated distribution system are connected to a computer, and the output end of the computer is electrically connected to a picking quantity relationship module and a picking category module, and the picking quantity The electrical signal at the output end of the relationship module is connected to the store picking module and the warehouse picking module, and the output electrical signals of the store picking module, the warehouse picking module and the picking category module are all connected to the analysis module. The electric signal at the output end is connected to a valid range module, the electric signal at the output end of the effective range module is connected to a retrieval module, the electric signal at the output terminal of the retrieval module is connected to a calculation module, and the electric signal at the output terminal of the calculation module is connected to a display module;
 The picking quantity relationship module is to calculate the relationship between the duration of the picking task and the task quantity. The output terminal electrical signal of the picking quantity relationship module is connected to the store picking module and the warehouse picking module. The store picking module is the task of store picking The relationship between the duration and the number of categories in the task;
 The relationship between the task duration of picking in the store and the number of categories in the task is y=0.615x+5.7346, R2=0.9707, and the picking module in the warehouse is the relationship between the task duration of picking in the warehouse and the number of categories in the task is y= 0.3029x+3.9381, R2=0.7832;
 The picking category module is the relationship between the picking time and the specific categories included. When it is refined to a specific category combination, due to the sharp drop in the number of samples, the data will fluctuate greatly. About one month (2019/4/1~2019/5/9) screened out the TOP30 category combinations, except for the TOP2 category with more than 50 categories, the other categories are less than 50, and the 30th place starts with less than 10, the data is reliable The speed will decrease, and the actual picking time is basically distributed between 5min-8min. Take two of the TOP10 categories for analysis, "domestic fruit + vegetables" (avg=6.5/std=2.5) and "domestic fruit + Low-temperature milk products" (avg=6.5min/std=4.1), the actual picking time is shown on the histogram respectively, and the histogram distribution of the two is actually found to be relatively close, but the fluctuation of the histogram itself is also relatively large , but at the time of picking = 0, there is obviously a small peak, which is mainly caused by false picking. Due to the false picking in the store, when it comes to specific categories, it will greatly affect the calculation of the accuracy of the duration. When it comes to categories, the amount of data accumulated is too small. When the samples are too small, it will have a great impact on the accuracy of the data. At this time, it is not so obvious to refine the categories. In the end, when the actual time is estimated, it is Predict the picking time by the number of categories;
 The analysis module is to estimate the credibility of the data delivered by the store picking module, the warehouse picking module and the picking category module. According to the distribution of picking time, if the average is taken as the picking time, then The picking time of 60% of the tasks is shorter than this average, that is, we use this time to estimate: the possibility that the estimated personnel can meet the production is ≥60%, that is: the reliability of the estimated result is ≥60% , the estimated formula is the derivation formula of the single quantity Nmax that can be processed currently: Nmax×(TJHC_C1×pJHC_C1+ TJHC_C2×pJHC_C2+...+TJHC_C2×pJHC_C2)=SCRNT×15min (Formula 1), the required number of people Sneed derivation formula: KJHC_C1× TJHC_C1+TJHC_C2×KJHC_C2 +...+TJHC_C2×KJHC_C2=Sneed×15min (Formula 2), the picker’s gap Sgap, Sgap=SNEED-SCRNT, the estimated process is 1. Step1: the current backlog of tasks, for example Backlog: task 1, task 2, task 3, according to the "secondary category quantity" and "picking partition" in task 1, find the corresponding picking time, assuming that task 1 is MC01, including 2 categories, Then take TMC01_C2, and find the T of all tasks by analogy. All picking partitions are in MC01, including KJHC_C1 with 2 categories, and its proportion is pJHC_C1. According to the above TMC01_C2 and KJHC_C1, it can be calculated by (Formula 1) Sneed, according to the above TMC01_C2 and pJHC_C1, Nmax can be obtained by (Formula 2);
 The retrieval module is to retrieve the data of the half warehouse store within the effective scope of the retrieval module and send it to the calculation module;
 The calculation module is set with an ID field and a picker field. The picker field is to record who is operating the task, the person who recorded the last operation, and the picking start time field. The picking start time field is when the picker clicks "order receiving "time, it will be recorded only when the order is successfully received, the initial value is empty, the end picking time field is the time when the picker clicks "Picking Complete", the initial value is empty, and the wall time field is the time when the picker scans the code The time of the wall, the initial value is empty, the picking partition field is MC01, the second-level category number field is the background category of the middle platform, the number of the second-level category is taken, and the picking task ID field is the picking task in the confluence wall The fields of ID and update time are the time of the last update. Only the order is received, the picking is completed, and the wall is uploaded. Update here, whether to combine order picking, combined order picking ID and the number of combined order tasks. 1. Picking The table will be updated every time the staff operates "receive order", "picking complete", "scan code to wall". 2. There may be some fields in it that are empty, such as combineTime. If the user clicks "picking complete" When the order has been canceled or the picking is completed on other platforms, then the combineTime of this picking task is empty;
 The display module is to display the various data calculated by the calculation module. After a while, the data will be automatically refreshed. The refresh time: once every 15 minutes. You can scroll left and right, and click to display the data;
 The method for using the real-time manpower gap estimation system includes the following steps:
 The first step: the picker module and the picking category module. The picking quantity module calculates the relationship between the picking time and the number of categories, and transmits the data to the store picking module and the warehouse picking module for classification calculation.
 Step 2: Send the calculation results to the analysis module. The picking category module calculates the relationship between the picking time and the specific categories included, and then transmits the data to the analysis module.
 Step 3: The analysis module analyzes the credibility of the transmitted data, and then transmits it to the effective module, and the effective range module stores the transmitted data.
 Step 4: The retrieval module retrieves effective data from the effective range module and sends it to the calculation module. The calculation module calculates the data with the specified formula and then transmits the calculation result to the display module.
 Step 5: The display module displays the calculation results.
 Although the embodiments of the present invention have been shown and described, those skilled in the art can understand that various changes, modifications and substitutions can be made to these embodiments without departing from the principle and spirit of the present invention. and modifications, the scope of the invention is defined by the appended claims and their equivalents.