Information determination method and device, equipment and computer storage medium
By constructing a target grid structure in the sorting area and combining working time with grid workload, the workload of each employee is automatically calculated, solving the problem of low efficiency caused by employee laziness and improving the accuracy and efficiency of workload calculation.
Patent Information
- Application Number
- CN202410814071.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-21
- Publication Date
- 2025-12-23
AI Technical Summary
In existing technologies, the methods for determining the workload of sorting personnel can lead to employee laziness and low work efficiency.
By determining the target grid structure of the area to be monitored, and based on the correspondence between the grid and the work area, combined with the employee's working time and the workload of each grid, the workload of each employee is automatically calculated, avoiding manual equalization.
It improved work efficiency, ensured the accuracy of workload, prevented employees from slacking off, and improved overall work efficiency.
Smart Images
Figure CN121189667A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of information technology, and in particular to an information determination method, device, equipment and computer storage medium. BACKGROUND
[0002] At present, when sorting processing of goods (such as express packages) is performed, the sorting personnel work is generally divided into several shifts (such as daytime shift and night shift); then, the total shipment quantity of each shift is determined, and the determined total shipment quantity is evenly distributed to all personnel of the shift for processing of the packages. However, the manner of determining the workload in the related art has the problem of low work efficiency due to laziness of some employees. SUMMARY
[0003] To solve the above technical problems, the embodiments of the present application expect to provide an information determination method, device, equipment and computer storage medium, which solve the problem of inaccurate determination result due to laziness of employees in the related art, and improve the work efficiency.
[0004] The technical scheme of the present application is implemented as follows:
[0005] An information determination method, the method comprising:
[0006] determining a target grid structure corresponding to a to-be-monitored region; wherein the target grid structure represents different work regions in the to-be-monitored region and work flow information between the different work regions;
[0007] after determining that a work of a to-be-monitored object in the to-be-monitored region is completed, determining a workload of each grid in the target grid structure; wherein a grid has a corresponding relationship with a work region;
[0008] based on a work time of the to-be-monitored object in each work region and the workload of each grid, determining a workload of each to-be-monitored object.
[0009] In the above scheme, the determination of the target grid structure corresponding to the to-be-monitored region comprises:
[0010] determining a work region in the to-be-monitored region and a work flow relationship between the work regions;
[0011] based on the work flow relationship and the work regions, constructing the target grid structure for the to-be-monitored region.
[0012] In the above scheme, the determination of the workload of each grid in the target grid structure comprises:
[0013] acquire target information of goods processed in the to-be-monitored area; wherein the target information represents a processing relationship between the goods and the grid;
[0014] determine the workload of each grid based on the target information.
[0015] In the above scheme, the target information of the goods processed in the to-be-monitored area is acquired, including:
[0016] acquire label information of a first type of goods processed in the to-be-monitored area;
[0017] determine work flow direction information corresponding to a second type of goods processed in the to-be-monitored area.
[0018] In the above scheme, the workload of each grid is determined based on the target information, including:
[0019] analyze the label information to obtain a first workload for each grid;
[0020] analyze the work flow direction information to obtain a second workload for each grid;
[0021] determine the workload of each grid based on the first workload and the second workload.
[0022] In the above scheme, the workload of each to-be-monitored object is determined based on the working time of each to-be-monitored object in each work area and the workload of each grid, including:
[0023] group the to-be-monitored objects in each work area based on the working time of each to-be-monitored object in each work area;
[0024] determine the workload of each to-be-monitored object in each group based on the number of to-be-monitored objects in each group and the workload of each grid.
[0025] In the above scheme, the method further includes:
[0026] acquire image information of to-be-monitored objects in a work area corresponding to each grid;
[0027] determine an abnormal object that exists abnormally in the to-be-monitored objects based on the image information and the working time of each to-be-monitored object.
[0028] An information determination device, the device includes:
[0029] The first determining unit is configured to determine a target grid structure corresponding to the to-be-monitored region, wherein the target grid structure represents different work regions in the to-be-monitored region and work flow information between the different work regions.
[0030] The second determining unit is configured to determine workloads of each grid in the target grid structure after determining that work of a to-be-monitored object of the to-be-monitored region is completed, wherein a grid has a corresponding relationship with a work region.
[0031] The processing unit is configured to determine a workload of each to-be-monitored object based on work time of a to-be-monitored object of each work region and the workload of each grid.
[0032] An information determining device, the device comprising: a processor, a memory and a communication bus;
[0033] The communication bus is configured to realize communication connection between the processor and the memory.
[0034] The processor is configured to execute an information determining program in the memory to realize steps of the information determining method.
[0035] A computer readable storage medium, the computer readable storage medium stores one or more programs, the one or more programs can be executed by one or more processors to realize steps of the information determining method.
[0036] Because the target grid structure corresponding to the to-be-monitored region can be determined, the target grid structure represents different work regions in the to-be-monitored region and work flow information between the different work regions, the workload of each grid in the target grid structure is determined after determining that work of a to-be-monitored object of the to-be-monitored region is completed, the grid has a corresponding relationship with the work region, and the workload of each to-be-monitored object is determined based on work time of a to-be-monitored object of each work region and the workload of each grid, thus, the workload of the grid corresponding to each work region can be automatically determined, and the workload of each employee is automatically determined according to the work time of the employee of each work region and the workload of each grid, rather than the workload of each employee being determined by manually determining the number of pieces and equally dividing the determined number of pieces as in the related art, which avoids the occurrence of employee laziness, guarantees the accuracy of the determined result and improves work efficiency. BRIEF DESCRIPTION OF DRAWINGS
[0037] Figure 1 A flowchart of an information determining method provided by an embodiment of the present application;
[0038] Figure 2 A flowchart of another information determining method provided by an embodiment of the present application;
[0039] Figure 3 A schematic diagram of a target grid structure in an information determination method provided by an embodiment of the present application;
[0040] Figure 4 A schematic diagram of label information of goods in a grid in a target grid structure in an information determination method provided by an embodiment of the present application;
[0041] Figure 5 A schematic diagram of a determination manner of workload of a grid in a target grid structure in an information determination method provided by an embodiment of the present application;
[0042] Figure 6 A schematic diagram of grouping of to-be-monitored objects in an information determination method provided by an embodiment of the present application;
[0043] Figure 7 A structural schematic diagram of an information determination apparatus provided by an embodiment of the present application;
[0044] Figure 8 A structural schematic diagram of an information determination device provided by an embodiment of the present application. DETAILED DESCRIPTION
[0045] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application.
[0046] It should be understood that the "embodiments of the present application" or "the foregoing embodiments" mentioned throughout the specification mean that the specific features, structures or characteristics related to the embodiments are included in at least one embodiment of the present application. Therefore, the "in the embodiments of the present application" or "in the foregoing embodiments" appearing throughout the specification does not necessarily mean the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. In various embodiments of the present application, the size of the serial number of each process does not mean the execution order, and the execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application. The serial number of the above-mentioned embodiments of the present application is only for description, not representing the advantages and disadvantages of the embodiments.
[0047] In the case where no special description is made, the electronic device executes any step in the embodiments of the present application, which can be a processor of the electronic device executing the step. It is also worth noting that the embodiments of the present application do not limit the order in which the electronic device executes the following steps. In addition, the way in which data is processed in different embodiments can be the same method or different methods. It should be noted that any step in the embodiments of the present application can be independently executed by the electronic device, i.e., the electronic device can execute any step in the following embodiments without depending on the execution of other steps.
[0048] It should be understood that the specific embodiments described herein are merely to explain the present application and are not intended to limit the present application.
[0049] The embodiments of the present application provide an information determination method, which can be applied to an information determination device, as shown in Figure 1 The method can include the following steps:
[0050] Step 101, determining a target grid structure corresponding to a to-be-monitored region.
[0051] The target grid structure represents different work areas in the to-be-monitored region and work flow information between different work areas.
[0052] In the embodiments of the present application, the to-be-monitored region can refer to a region in which the work of an employee needs to be supervised; and the to-be-monitored object can refer to an employee working in the to-be-monitored region. In a feasible implementation manner, the to-be-monitored region can refer to all work areas in a sorting scene for express packages.
[0053] The work area can refer to an area in a physical region for performing different operations on goods. The target grid structure can be obtained by associating different work areas according to the relationship between the different work areas.
[0054] In a feasible implementation manner, for express packages, the work area can include an NC operation area, an automatic small package sorting area, a transfer special protection operation area, a transfer station operation area, a retention piece operation area, a branch loading area, an abnormal processing area, a mobile sorting area, an inspection area, a small piece automation area, a small piece intelligent sorting cabinet area, a small piece area, a small site operation area, a site management area, a prohibited item area, a return area, a railway piece operation area, a railway operation area, a special protection area, a special protection operation area, a scattered aviation piece operation area, a manual small piece sorting area, a full cargo machine operation area, a landing distribution subarea, a corridor warehouse area, an air special processing area, an air operation area, an air office area, a matrix area, a monitoring room, a package center unloading area, an aviation operation area, an aviation / railway sorting, a sorting operation area, an operation operation area, a wooden rack area, a weight area, a vehicle scheduling area, an office area, and the like.
[0055] In step 102, after determining that the work of the to-be-monitored object in the to-be-monitored area is completed, the workload of each grid in the target grid structure is determined.
[0056] Each grid in the target grid structure has a corresponding relationship with a work area.
[0057] In the embodiments of the present application, after the work of the to-be-monitored object that needs to be monitored is completed, the information determining device can determine the workload of each grid according to the target information of the goods corresponding to each grid in the target grid structure.
[0058] It should be noted that the workload of each grid can refer to the number of goods processed by the work area corresponding to each grid.
[0059] In step 103, based on the work time of the to-be-monitored object in each work area and the workload of each grid, the workload of each to-be-monitored object is determined.
[0060] The information determining device can determine the work time of the employee in each work area. Specifically, the work time of the employee can be determined by the check-in time and check-out time of each employee.
[0061] In a feasible implementation manner, a two-dimensional code can be arranged in each physical work area, and the two-dimensional code has a binding relationship with the grid corresponding to the work area. When an employee goes to work, the employee can scan the two-dimensional code at the physical work area corresponding to the employee by using a handheld device (for example, a personal digital assistant (PDA)) to perform check-in and check-out processing. It should be noted that some employees with certain management authority can use their own handheld devices to check in and check out, or use their own handheld devices to check in and check out for other colleagues.
[0062] In the embodiments of the present application, the information determining device can process the workload of each grid according to the work time of each employee to obtain the workload of each employee. It should be noted that the workload of each employee can refer to the number of goods processed by each employee during working hours.
[0063] The information determining method provided by the embodiments of the present application can automatically determine the workload of the grid corresponding to each work area, and automatically determine the workload of each employee according to the work time of the employee in each work area and the workload of each grid, instead of determining the workload of each employee by manually determining the number of pieces and equally dividing the determined number of pieces as in the related art, thereby avoiding the occurrence of employee laziness and improving work efficiency.
[0064] Based on the foregoing embodiments, the embodiments of the present application provide an information determination method, referring to Figure 2 The method can include the following steps:
[0065] Step 201, the information determination device determines the work areas in the to-be-monitored area and the work flow relationship between the work areas.
[0066] The work areas can be the work areas for the to-be-monitored area obtained by the information determination device directly from the stored information. The work flow relationship between the work areas can refer to the relationship between the operation flow directions between the operations of processing the goods in all the work areas included in the to-be-monitored area.
[0067] Step 202, the information determination device constructs a target grid structure for the to-be-monitored area based on the work flow relationship and the work areas.
[0068] In the embodiments of the present application, all the work areas can be associated to construct the target grid structure for the to-be-monitored area according to the work flow relationship between the different work areas. Specifically, all the work areas can be associated to obtain the target grid structure according to the operation flow direction information when the goods are processed. It should be noted that the grids in the target grid structure can refer to different work areas. For the work areas with the same operation behavior on the goods, if they are physically divided into different areas, they correspond to different grids in the target grid structure.
[0069] It should be noted that the determined target grid structure can be as shown in Figure 3 In a feasible implementation manner, as shown in Figure 3 The unloading area 01 and the unloading area 01 are both operated to unload the goods, but because the physical work areas correspond to different areas, the two work areas correspond to different grids in the target grid structure.
[0070] In other embodiments of the present application, each grid binds the automated devices in the work area, the automated grid, the automated intersection, and the work flow direction.
[0071] Step 203, after the work of the to-be-monitored object in the to-be-monitored area is completed, the information determination device obtains target information of the goods processed in the to-be-monitored area.
[0072] The target information represents the processing relationship between the goods and the grids.
[0073] In the embodiments of the present application, the target information can be different for different types of goods. The target information can include the label information on the goods and the work flow direction information of the goods.
[0074] It should be noted that the "obtaining target information of the goods processed in the area to be monitored" in step 203 can be realized by the following way:
[0075] Step 203a, the information determining device collects the label information of the first type of goods processed in the area to be monitored.
[0076] The first type of goods can refer to goods with labels; the first type of goods can be processed by employees with handheld devices; that is, after the employee processes the goods, the employee will use his own handheld device to label the corresponding goods to identify which employee processed the goods. Specifically, for the first type of goods, the information determining device can obtain the workload of each grid (i.e., the number of goods processed in each grid) by analyzing the label information of the goods.
[0077] It should be noted that the label information includes information that can represent which grid the goods are processed in and which employee processes the goods. Specifically, the information determining device can use a camera to scan the label on the goods to obtain the label information.
[0078] In a feasible implementation manner, as shown in Figure 4 If the delivery personnel checks in at the loading area 01 in the grid, the delivery personnel can label the express package with a label with the label information "grid: loading 01" after processing the express package.
[0079] Step 203b, the information determining device determines the work flow direction information corresponding to the second type of goods processed in the area to be monitored.
[0080] The second type of goods can refer to goods without labels, and in a feasible implementation manner, the second type of goods can be processed by automated devices; the second type of goods can be processed by employees without handheld devices, or processed by employees with handheld devices but without labeling the processed goods. Specifically, for the second type of goods, the information determining device can determine the work flow direction information corresponding to the second type of goods. Then, the workload of each grid (i.e., the number of goods processed in each grid) is obtained by analyzing the work flow direction information of the goods.
[0081] It should be noted that for the second type of goods, the work flow direction information corresponding to each goods can be directly obtained from the information determining device; in this way, the work flow direction information based on the workload determination method can solve the quantitative calculation of the sorting type without handheld devices, and solve the problem that the workload of the automated operation cannot be split to the corresponding manual operation, thereby improving the accuracy of the determined workload.
[0082] In step 204, the information determining device determines the workload of each grid based on the target information.
[0083] Each grid in the target grid structure has a corresponding relationship with a work area.
[0084] In the embodiment of the present application, the information determining device can analyze the target information of the goods to obtain the workload in each grid. Specifically, as shown in Figure 5 The information determining device can analyze the label information and the work flow direction information of the goods to obtain the workload in each grid; that is, the amount of goods in each grid can be determined according to the label information of the goods in the grid, and the amount of goods in each grid can also be determined according to the work flow direction information of the goods.
[0085] It should be noted that the amount of goods in each grid can be determined by combining the label information of the goods and the work flow direction information of the goods.
[0086] It should be noted that when step 203 is implemented by step 203a and step 203b, step 204 can be implemented by steps 204a-204c.
[0087] In step 204a, the information determining device analyzes the label information to obtain a first workload for each grid.
[0088] In the embodiment of the present application, the information determining device can analyze the label information, determine the grid information corresponding to each good from the label information, and further determine the amount of goods in each grid (i.e., the first workload). In this way, the first workload is determined by the label information of the label on the goods handled by the staff, which can solve the problem that some types of work cannot be collected, such as the action of the porter and the device operation of the loader, and further the problem that the system cannot collect the action to determine the amount of goods, thereby realizing the determination of the amount of goods in all work areas and further ensuring the accuracy of the amount of goods of each staff determined.
[0089] In step 204b, the information determining device analyzes the work flow direction information to obtain a second workload for each grid.
[0090] In the embodiment of the present application, the information determining device can analyze the work flow direction information of each good, and obtain the grid passed by each good from the beginning of processing to the completion of processing according to the analysis result, and further determine the amount of goods in each grid (i.e., the second workload).
[0091] In step 204c, the information determining device determines the workload of each grid based on the first workload and the second workload.
[0092] In the embodiment of the present application, the information determining device can calculate the workloads of each grid by operating the first workload and the second workload. Specifically, for each grid, the first workload and the second workload can be added to obtain the workload of each grid.
[0093] In step 205, the information determining device groups the to-be-monitored objects of each work area based on the work time of each to-be-monitored object of each work area.
[0094] In the embodiment of the present application, the information determining device can determine the work time period of each employee in the work area corresponding to each grid; wherein the work time period can be calculated according to the check-in time and the check-out time of the employee in the two-dimensional code information corresponding to the work area.
[0095] Specifically, the employees in each work area can be grouped according to the relationship between the work time of different employees. In a feasible implementation manner, as shown in FIG. 2B, the employees in a work area can be divided into a group according to the check-in time and the check-out time, or the employees with similar work time periods (i.e., the difference between the work time periods is less than a target time period) can be divided into a group. In this way, the accuracy of the workload of each employee determined subsequently can be ensured. Figure 6
[0096] In step 206, the information determining device determines the workload of each to-be-monitored object in each group based on the number of to-be-monitored objects in each group and the workload of each grid.
[0097] In the embodiment of the present application, the number of employees in each group is counted; then, the workload of each employee in each group can be determined based on the relationship between the number and a target number and the workload of each grid.
[0098] Specifically, when the target number is 1, if the number of employees in a group is equal to the target number, the workload of the grid in the time period can be directly determined as the workload of the employee; if the number of employees in a group is greater than the target number, the workload of the grid in the time period can be distributed according to a pre-set target distribution algorithm based on the number to obtain the workload of each employee; wherein the target distribution algorithm can be the most suitable distribution algorithm determined in advance according to the actual application scenario.
[0099] It should be noted that the workload distribution in the scheme provided by the present application is not in the form of equal distribution, which can effectively avoid the problem of employee laziness caused by equal distribution logic; and the workload of each employee is determined according to the actual work time and the actual workload, which can greatly improve the work efficiency of the employees and thus improve the overall efficiency of the goods processing.
[0100] Based on the foregoing embodiments, in other embodiments of the present application, the method can further include the following steps:
[0101] Step 207, the information determining device collects image information of the to-be-monitored object in the working area corresponding to each grid.
[0102] In other embodiments of the present application, the information determining device can collect image information of the staff in the actual working area corresponding to each grid through a camera; wherein the camera can refer to the camera of the information determining device itself, or can refer to the camera arranged in each working area in the to-be-monitored area. It should be noted that the image information can uniquely identify each staff and the working time of each staff.
[0103] Step 208, the information determining device determines an abnormal object existing in the to-be-monitored object based on the image information and the working time of each to-be-monitored object.
[0104] In the embodiments of the present application, the image information can be analyzed to obtain the calculated working time of each to-be-monitored object, and the abnormal object is screened based on the calculated working time and the working time of each to-be-monitored object.
[0105] Specifically, the working time corresponding to the collected image information can be matched with the actual sign-in record of the staff, and the abnormal sign-in personnel is screened to obtain the abnormal object; then the relevant information of the abnormal object can be given to the corresponding person in charge, so that the person in charge can perform review sign-in and other targeted processing.
[0106] In other embodiments of the present application, the information determining device can push the working amount of all grids in the entire target grid structure and the abnormal situation of the staff in each grid to the corresponding management device after the operation of one shift is completed; at the same time, a false salary adjustment reporting function is provided to solve the problem of false sign-in and salary.
[0107] In the embodiments of the present application, the working amount determination scheme provided by the present application can make the quantitative calculation data of the sorting center more fine and accurate; at the same time, the working amount of each sorting staff can be accurately positioned, the staff can be adjusted in real time, and the production efficiency is improved.
[0108] It should be noted that the same steps and the same content in other embodiments of the present application are described with reference to the description in other embodiments, and will not be repeated here.
[0109] The information determination method provided by the embodiment of the present application can automatically determine the workload of the grid corresponding to each work area, and automatically determine the workload of each employee according to the working time of the employee in each work area and the workload of each grid, instead of determining the workload of each employee by manually determining the number of pieces and equally dividing the determined number of pieces, thereby avoiding the occurrence of employee laziness, improving work efficiency, and ensuring the accuracy of the determined data.
[0110] Based on the foregoing embodiments, the present embodiment provides an information determination device, which can be applied to Figures 1-2 The information determination method provided by the corresponding embodiment can refer to Figure 7 As shown in the figure, the information determination device 3 can include a first determination unit 31, a second determination unit 32, and a processing unit 33, wherein:
[0111] The first determination unit 31 is configured to determine a target grid structure corresponding to a to-be-monitored area; wherein the target grid structure represents different work areas in the to-be-monitored area and work flow information between different work areas.
[0112] The second determination unit 32 is configured to determine the workload of each grid in the target grid structure after the work of the to-be-monitored object in the to-be-monitored area is completed; wherein the grid has a corresponding relationship with the work area.
[0113] The processing unit 33 is configured to determine the workload of each to-be-monitored object based on the working time of the to-be-monitored object in each work area and the workload of each grid.
[0114] In other embodiments of the present application, the first determination unit 31 is further configured to perform the following steps:
[0115] Determine the work area in the to-be-monitored area and the work flow relationship between the work areas.
[0116] Based on the work flow relationship and the work area, construct a target grid structure for the to-be-monitored area.
[0117] In other embodiments of the present application, the second determination unit 32 is further configured to perform the following steps:
[0118] Obtain target information of the goods processed in the to-be-monitored area; wherein the target information represents the processing relationship between the goods and the grid.
[0119] Determine the workload of each grid based on the target information.
[0120] In other embodiments of the present application, the second determination unit 32 is further configured to perform the following steps:
[0121] collect tag information of a first type of goods processed in the to-be-monitored area;
[0122] determine work flow direction information corresponding to a second type of goods processed in the to-be-monitored area.
[0123] In other embodiments of the present application, the second determination unit 32 is further configured to perform the following steps:
[0124] analyze the tag information to obtain a first workload for each grid;
[0125] analyze the work flow direction information to obtain a second workload for each grid;
[0126] determine the workload of each grid based on the first workload and the second workload.
[0127] In other embodiments of the present application, the processing unit 33 is further configured to perform the following steps:
[0128] group the to-be-monitored objects of each work area based on the work time of each to-be-monitored object of each work area;
[0129] determine the workload of each to-be-monitored object in each group based on the number of to-be-monitored objects in each group and the workload of each grid.
[0130] In other embodiments of the present application, the processing unit 33 is further configured to perform the following steps:
[0131] collect image information of the to-be-monitored objects in the work area corresponding to each grid;
[0132] determine an abnormal object existing in the to-be-monitored objects based on the image information and the work time of each to-be-monitored object.
[0133] It should be noted that the specific description of the steps performed by each unit can refer to the information determination method provided by the corresponding embodiments, which will not be repeated here. Figures 1-2
[0134] The information determination apparatus provided by the embodiments of the present application can automatically determine the workload of the grid corresponding to each work area, and automatically determine the workload of each employee according to the work time of the employees of each work area and the workload of each grid, instead of determining the workload of each employee by manually determining the number of pieces and equally dividing the determined number of pieces as in the related art, thereby avoiding the occurrence of employee laziness and improving work efficiency.
[0135] Based on the foregoing embodiments, the embodiments of the present application provide an information determination device, which can be applied to Figures 1-2 The corresponding embodiment provides an information determination method. Referring to Figure 8 As shown in the figure, the information determination device 4 can include a processor 41, a memory 42 and a communication bus 43, wherein:
[0136] The communication bus 43 is used to realize the communication connection between the processor 41 and the memory 42;
[0137] The processor 41 is used to execute the information determination program in the memory 42 to realize the following steps:
[0138] Determine the target grid structure corresponding to the to-be-monitored region; wherein the target grid structure represents different work areas in the to-be-monitored region and the work flow information between different work areas;
[0139] After determining the work completion of the to-be-monitored object in the to-be-monitored region, determine the work amount of each grid in the target grid structure; wherein the grid has a corresponding relationship with the work area;
[0140] Based on the work time of the to-be-monitored object of each work area and the work amount of each grid, determine the work amount of each to-be-monitored object.
[0141] In other embodiments of the present application, the processor 41 is used to execute the information determination program in the memory 42 to determine the target grid structure corresponding to the to-be-monitored region, to realize the following steps:
[0142] Determine the work area in the to-be-monitored region and the work flow relationship between the work areas;
[0143] Based on the work flow relationship and the work area, construct the target grid structure for the to-be-monitored region.
[0144] In other embodiments of the present application, the processor 41 is used to execute the information determination program in the memory 42 to determine the work amount of each grid in the target grid structure, to realize the following steps:
[0145] Obtain the target information of the goods processed in the to-be-monitored region; wherein the target information represents the processing relationship between the goods and the grid;
[0146] Based on the target information, determine the work amount of each grid.
[0147] In other embodiments of the present application, the processor 41 is used to execute the information determination program in the memory 42 to obtain the target information of the goods processed in the to-be-monitored region, to realize the following steps:
[0148] Collect the label information of the first type of goods processed in the to-be-monitored region;
[0149] Determine the work flow information corresponding to the second type of goods processed in the to-be-monitored region.
[0150] In other embodiments of the present application, the processor 41 is configured to execute the information determining program in the memory 42 to determine the workload of each grid based on the target information, so as to implement the following steps:
[0151] analyzing the label information to obtain a first workload of each grid;
[0152] analyzing the workflow information to obtain a second workload of each grid;
[0153] determining the workload of each grid based on the first workload and the second workload.
[0154] In other embodiments of the present application, the processor 41 is configured to execute the information determining program in the memory 42 to determine the workload of each to-be-monitored object based on the working time of each to-be-monitored object in each work area and the workload of each grid, so as to implement the following steps:
[0155] grouping the to-be-monitored objects in each work area based on the working time of each to-be-monitored object in each work area;
[0156] determining the workload of each to-be-monitored object in each group based on the number of to-be-monitored objects in each group and the workload of each grid.
[0157] In other embodiments of the present application, the processor 41 is configured to execute the information determining program in the memory 42, and the following steps can also be implemented:
[0158] collecting image information of the to-be-monitored objects in the work area corresponding to each grid;
[0159] determining an abnormal object existing in the to-be-monitored objects based on the image information and the working time of each to-be-monitored object.
[0160] It should be noted that the specific description of the steps executed by the processor can refer to the information determining method provided by the corresponding embodiments, which will not be described herein again. Figures 1-2 In the information determining method provided by the corresponding embodiments, the specific description of the steps executed by the processor will not be described herein again.
[0161] The information determining device provided by the embodiments of the present application can automatically determine the workload of each grid corresponding to each work area, and automatically determine the workload of each employee based on the working time of the employees in each work area and the workload of each grid, instead of determining the workload of each employee by manually determining the number of pieces and equally dividing the determined number of pieces as in the related art, so as to avoid the occurrence of employee laziness and improve the work efficiency.
[0162] Based on the foregoing embodiments, the embodiments of the present application provide a computer readable storage medium storing one or more programs, the one or more programs being executable by one or more processors to implement Figure 1 and Figure 2 corresponding embodiments provide steps of the information determination method.
[0163] Based on the foregoing embodiments, the embodiments of the present application provide a computer program product comprising a computer program executable by a processor 41 to complete Figure 1 and Figure 2 corresponding embodiments provide steps of the information determination method.
[0164] Those skilled in the art will understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage, etc.) containing computer-usable program code.
[0165] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams 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 apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus generate a means for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus for implementing the functions specified in one or more flows and / or blocks.
[0166] These computer program instructions can also be stored in a computer-readable memory that can direct the computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including instruction apparatus, which implements the functions specified in the flowcharts and / or block diagrams. Figure 1 one or more flows and / or blocks Figure 1 an apparatus for implementing the functions specified in one or more flows and / or blocks.
[0167] These computer program instructions can also be loaded into a computer or other programmable data processing devices, so that a series of operation steps are performed on the computer or other programmable devices to generate computer-implemented processes, thus the instructions executed on the computer or other programmable devices provide a process for implementing the functions specified in the flowchart Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.
[0168] The above description is only the preferred embodiment of the present application, not for limiting the protection range of the present application.
Claims
1. A method for determining information, characterized in that, The method includes: Determine the target grid structure corresponding to the area to be monitored; wherein, the target grid structure represents the different work areas in the area to be monitored and the workflow information between the different work areas; After the work of determining the objects to be monitored in the area to be monitored is completed, the workload of each grid in the target grid structure is determined; wherein, there is a correspondence between the grid and the work area; The workload of each monitored object is determined based on the working time of the monitored object in each working area and the workload of each grid.
2. The method according to claim 1, characterized in that, Determining the target grid structure corresponding to the area to be monitored includes: Determine the work areas within the area to be monitored and the workflow relationships between the work areas; Based on the job flow relationship and the work area, the target mesh structure for the area to be monitored is constructed.
3. The method according to claim 1, characterized in that, Determining the workload of each grid in the target grid structure includes: Obtain target information of goods being processed in the area to be monitored; wherein, the target information represents the processing relationship between the goods and the grid; The workload of each grid is determined based on the target information.
4. The method according to claim 3, characterized in that, The acquisition of target information of goods processed in the area to be monitored includes: Collect label information of the first type of goods processed in the area to be monitored; Determine the workflow information corresponding to the second type of goods processed in the area to be monitored.
5. The method according to claim 4, characterized in that, Determining the workload of each grid based on the target information includes: The label information is analyzed to obtain the first workload for each grid. The workflow information is analyzed to obtain a second workload for each grid. The workload for each grid is determined based on the first workload and the second workload.
6. The method according to claim 1, characterized in that, The determination of the workload of each monitored object based on the working time of the monitored object in each working area and the workload of each grid includes: Based on the working time of each object to be monitored in each working area, the objects to be monitored in each working area are grouped. The workload of each object to be monitored in each group is determined based on the number of objects to be monitored in each group and the workload of each grid.
7. The method according to claim 1, characterized in that, The method further includes: Collect image information of the object to be monitored within the working area corresponding to each grid; Based on the image information and the working time of each object to be monitored, abnormal objects with anomalies are identified among the objects to be monitored.
8. An information determining device, characterized in that, The device includes: The first determining unit is used to determine the target grid structure corresponding to the area to be monitored; wherein, the target grid structure represents different work areas in the area to be monitored and the workflow information between the different work areas; The second determining unit is used to determine the workload of each grid in the target grid structure after the work of determining the monitored object in the monitored area is completed; wherein, the grid and the working area have a corresponding relationship; The processing unit is used to determine the workload of each monitored object based on the working time of the monitored object in each working area and the workload of each grid.
9. An information determining device, characterized in that, The device includes: a processor, a memory, and a communication bus; The communication bus is used to realize the communication connection between the processor and the memory; The processor is used to execute the information determination program in the memory to implement the steps of the information determination method as described in any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores The system contains one or more programs, which can be executed by one or more processors. To implement the steps of the information determination method as described in any one of claims 1 to 7.