Station feeding monitoring method and system based on RFID

Abstract

The invention relates to the field of production feeding management, and discloses a station feeding monitoring method and system based on RFID, and the method comprises the steps: obtaining a plan starting moment, a plan material demand amount and a plan material remaining amount corresponding to a target station, the actual input moment, the actual material input amount and the actual material remaining amount of material conveying on the target station are obtained; when the actual input moment corresponding to the target station is later than the plan starting moment, sending out advanced input prompt information for prompting advanced feeding time of the target station; and when the actual input moment corresponding to the target station is earlier than the planned start moment and the difference value between the planned material demand quantity and the actual material input quantity is greater than the preset material input quantity difference value, sending material quantity increase prompt information for prompting to increase the actual material input quantity for the target station. According to the invention, the production process can be dynamically monitored, and the monitoring hysteresis of the production process is avoided.

Description

Technical Field

[0001] The present application relates to the technical field of production material feeding management, and more specifically, to a method and system for monitoring material feeding at a workstation based on RFID. Background Art

[0002] In modern manufacturing, the automation and intelligence of production lines are key means to improve production efficiency and ensure product quality. As an important link in the production line, feeding monitoring aims to ensure that raw materials or parts can be delivered to designated workstations accurately and in a timely manner to avoid production interruptions or material shortages. With the development of sensor technology and the Internet of Things (IoT), more and more factories are using advanced monitoring systems to monitor and manage the feeding process in real time. The feeding monitoring system usually includes sensors, cameras, RFID tags and corresponding data processing and analysis systems. The feeding monitoring system can collect data in the feeding process in real time, analyze it through software algorithms, and promptly detect anomalies in the feeding monitoring system and issue alarms.

[0003] In actual production lines, feeding monitoring technology has been widely used in different production scenarios and different industries. For example, in the field of automobile manufacturing, sensors and cameras installed at each workstation can monitor the availability of parts required for each car in real time. Once the sensor detects that a part is missing or incorrectly positioned, the system can notify the operator to adjust the production material to avoid production delays. In the field of electronic product manufacturing, RFID technology is widely used to track and manage the feeding process of electronic components to ensure the accuracy and consistency of each component. In existing feeding monitoring technologies, the feeding amount of materials can often only be monitored statically, and the production process cannot be dynamically monitored, resulting in a lag in the monitoring of the production process. Summary of the invention

[0004] The purpose of this application is to provide an RFID-based workstation loading monitoring method and system, which solves the technical problem of not being able to dynamically monitor the production process, resulting in lags in the monitoring of the production process, and achieves the technical effect of dynamically monitoring the production process and avoiding lags in the monitoring of the production process.

[0005] An RFID-based workstation loading monitoring method provided in an embodiment of the present application includes: obtaining a planned start time, a planned material demand, and a planned material remaining amount corresponding to a target workstation, and obtaining an actual input time, an actual material input amount, and an actual material remaining amount for material transportation to the target workstation; wherein the actual input time, the actual material input amount, and the actual material remaining amount are obtained through an RFID tag; when the actual input time corresponding to the target workstation is later than the planned start time, an advance input prompt message for prompting the advance loading time of the target workstation is issued; when the actual input time corresponding to the target workstation is earlier than the planned start time, and when the difference between the planned material demand and the actual material input amount is greater than a preset material input amount difference, a material quantity increase prompt message for prompting to increase the actual material input amount of the target workstation is issued; when the actual input time corresponding to the target workstation is earlier than the planned start time, and when the difference between the planned material demand and the actual material input amount is less than the preset material input amount difference, and when the difference between the actual material remaining amount and the actual material input amount is greater than the preset material remaining amount difference, a material quantity reduction prompt message for prompting to reduce the planned material demand for the target workstation is issued.

[0006] In one possible implementation, the actual input time, actual material input amount and actual material remaining amount are obtained through the RFID chip, including: when multiple material trays are conveying materials, the time when the signal of the RFID tag on the material tray is read is used as the actual input time, and the sum of the material amounts stored in the RFID tags on all material trays is used as the actual material input amount; the sum of the material amounts stored in the RFID tags on all material trays minus the actual material usage of the target workstation is used as the actual material remaining amount.

[0007] In another possible implementation, the method further includes: obtaining a planned end time corresponding to the target workstation, and obtaining an actual output time for material transportation to the target workstation; determining a difference between a planned start time and a planned end time corresponding to the target workstation as a planned duration corresponding to the target workstation; determining a difference between an actual input time and an actual output time corresponding to the target workstation as an actual duration corresponding to the target workstation; when the difference between the actual duration and the planned duration is greater than a preset time difference, obtaining a usage sub-time period corresponding to the material in each material tray used by the target workstation within the actual duration, and determining a sub-time period variance value of all usage sub-time periods corresponding to the actual duration; when the sub-time period variance value is greater than or equal to a preset sub-time period variance value, issuing a workstation optimization prompt message for optimizing the production process of the target workstation; when the sub-time period variance value is less than the preset sub-time period variance value, issuing a process optimization prompt message for optimizing the process flow of the target workstation.

[0008] In another possible implementation, the method also includes: when the difference between the actual duration and the planned duration corresponding to multiple workstations is greater than a preset time difference, obtaining the workstation priorities corresponding to multiple workstations whose sub-time period variance values ​​are less than the preset sub-time period variance value; and loading the multiple workstations in sequence according to the order of workstation priority from high to low.

[0009] In another possible implementation, the method also includes: when the difference between the actual duration and the planned duration corresponding to a plurality of workstations is greater than a preset time difference, obtaining the workstation priority indexes corresponding to the plurality of workstations whose sub-time period variance values ​​are less than a preset sub-time period variance value; determining the ratio of the priority index corresponding to the plurality of workstations and the sub-time period variance value as the workstation feeding adjustment priority index; and sequentially feeding the plurality of workstations in the order of the workstation adjustment priority index from high to low.

[0010] In another possible implementation, when the actual input time corresponding to the target workstation is earlier than the planned start time, and when the difference between the planned material demand and the actual material input is greater than the preset material input difference, a material quantity increase prompt information is issued to prompt the target workstation to increase the actual material input, including: obtaining the target material inventory, and obtaining the actual material inventory through an RFID tag; determining the ratio of the actual material inventory to the target material inventory as a material inventory index; determining the product of the difference between the planned material demand and the actual material input and the material inventory index as a material quantity increase value, and the material quantity increase prompt information prompts the target workstation to increase the actual material input according to the material quantity increase value.

[0011] In another possible implementation, the method also includes: determining the variance value of the ratio of actual material inventory to target material inventory within a preset feeding cycle as the material inventory fluctuation index; when the material inventory fluctuation index is greater than or equal to the preset material inventory fluctuation index, loading materials to multiple workstations in descending order of workstation priority; when the material inventory fluctuation index is less than the preset material inventory fluctuation index, determining the ratio of the priority index and the sub-time period variance value corresponding to each of the multiple workstations as the workstation feeding adjustment priority index, and loading materials to the multiple workstations in descending order of the workstation adjustment priority index.

[0012] In another possible implementation, the method also includes: when the material inventory fluctuation index is less than the preset material inventory fluctuation index, determining the ratio of the workstation feeding adjustment priority index and the material inventory fluctuation index as the workstation feeding comprehensive index, and feeding multiple workstations in sequence according to the order of the workstation feeding comprehensive index from high to low.

[0013] The embodiment of the present application also provides an RFID-based workstation loading monitoring system, including a unit used for any of the above methods.

[0014] The embodiment of the present application further provides an RFID-based workstation loading monitoring system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the above methods when executing the computer program.

[0015] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method described in any one of the above items is implemented.

[0016] An embodiment of the present application also provides a computer program product, including a computer program, which implements the steps of any of the methods described above when executed by a processor.

[0017] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: The embodiment of the present application provides a method for monitoring material loading at a workstation based on RFID, and the method includes: obtaining a planned start time, a planned material demand, and a planned material remaining amount corresponding to a target workstation, and obtaining an actual input time, an actual material input amount, and an actual material remaining amount for material transportation to the target workstation; wherein the actual input time, the actual material input amount, and the actual material remaining amount are obtained through an RFID tag; when the actual input time corresponding to the target workstation is later than the planned start time, an advance input prompt message for prompting the advance loading time of the target workstation is issued; when the actual input time corresponding to the target workstation is earlier than the planned start time, and when the difference between the planned material demand and the actual material input amount is greater than a preset material input amount difference, a material quantity increase prompt message for prompting to increase the actual material input amount of the target workstation is issued; when the actual input time corresponding to the target workstation is earlier than the planned start time, and when the difference between the planned material demand and the actual material input amount is less than the preset material input amount difference, and when the difference between the actual material remaining amount and the actual material input amount is greater than the preset material remaining amount difference, a material quantity reduction prompt message for prompting to reduce the planned material demand for the target workstation is issued. An RFID-based workstation loading monitoring method in an embodiment of the present application can monitor the loading quantity, loading time and remaining quantity of the material through RFID, realize dynamic monitoring of the material loading process, and improve the monitoring effect of the material loading process. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0019] Figure 1 A schematic diagram of a flow chart of a workstation loading monitoring method based on RFID provided in an embodiment of the present application; Figure 2 A schematic diagram of the main view structure of a scene applied to a workstation feeding monitoring method based on RFID provided in an embodiment of the present application; Figure 3 A schematic diagram of the left-view structure of a scene applied by a method for monitoring material loading at a workstation based on RFID provided in an embodiment of the present application; Figure 4 A schematic diagram of material loading time monitoring of a workstation material loading monitoring method based on RFID provided in an embodiment of the present application; Figure 5 A schematic diagram of a second RFID-based workstation loading monitoring method provided in an embodiment of the present application; Figure 6 A schematic diagram of a third RFID-based workstation loading monitoring method provided in an embodiment of the present application; Figure 7 A schematic diagram of the logical structure of an RFID-based workstation loading monitoring system provided in an embodiment of the present application; Figure 8 A schematic diagram of the physical structure of an RFID-based workstation loading monitoring system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0021] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0022] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0023] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0024] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0025] In the existing feeding monitoring technology, the feeding amount of materials can often only be monitored statically, and the production process cannot be dynamically monitored, resulting in a lag in the monitoring of the production process.

[0026] Based on the above reasons, an embodiment of the present application provides an RFID-based workstation loading monitoring method, which includes: obtaining the planned start time, planned material demand and planned material remaining amount corresponding to the target workstation, and obtaining the actual input time, actual material input amount and actual material remaining amount for material transportation to the target workstation; wherein the actual input time, actual material input amount and actual material remaining amount are obtained through RFID tags; when the actual input time corresponding to the target workstation is later than the planned start time, an advance input prompt message is issued to prompt the target workstation to load materials in advance; when the actual input time corresponding to the target workstation is earlier than the planned start time, and when the difference between the planned material demand and the actual material input amount is greater than the preset material input amount difference, a material quantity increase prompt message is issued to prompt the target workstation to increase the actual material input amount; when the actual input time corresponding to the target workstation is earlier than the planned start time, and when the difference between the planned material demand and the actual material input amount is less than the preset material input amount difference, and when the difference between the actual material remaining amount and the actual material input amount is greater than the preset material remaining amount difference, a material quantity reduction prompt message is issued to prompt the target workstation to reduce the planned material demand. An RFID-based workstation loading monitoring method in an embodiment of the present application can monitor the loading quantity, loading time and remaining quantity of the material through RFID, realize dynamic monitoring of the material loading process, and improve the monitoring effect of the material loading process.

[0027] In some scenarios, an RFID-based workstation loading monitoring method of an embodiment of the present application can be applied to a system that monitors the material loading of electronic components (such as chips, camera modules, electronic component housings, etc.) through RFID tags. Accurate material loading monitoring can be performed through RFID tags, thereby improving the accuracy of material monitoring and the dynamic management effect of the loading process, and avoiding lags in the material loading process.

[0028] The following is a detailed description of an RFID-based workstation loading monitoring method provided in an embodiment of the present application with reference to specific examples.

[0029] Figure 1 A flow chart of a method for monitoring material loading at a workstation based on RFID provided in an embodiment of the present application is shown in FIG. Figure 1 As shown, the method includes S110 to S120, and S110 to S120 are described in detail below.

[0030] The execution subject of an RFID-based workstation loading monitoring method in an embodiment of the present application can be a computer, a server, etc.

[0031] S110, obtaining the planned start time, planned material demand, and planned material remaining quantity corresponding to the target workstation, and obtaining the actual input time, actual material input quantity, and actual material remaining quantity for material transportation to the target workstation. The actual input time, actual material input quantity, and actual material remaining quantity are obtained through RFID tags.

[0032] When the embodiment of the present application is working, the planned start time, planned material demand and planned material remaining amount corresponding to the target workstation can be first obtained. The planned start time, planned material demand and planned material remaining amount can be pre-stored in the material management system, and then the planned start time, planned material demand and planned material remaining amount can be obtained through the material management system, and the material loading management can be performed through the planned start time, planned material demand and planned material remaining amount.

[0033] In the material management system, the planned start time is the planned start time for material loading at the target workstation, the planned material demand is the planned material demand for material loading at the target workstation, and the planned material remaining quantity is the remaining quantity of the material after the material is loaded at the target workstation.

[0034] When performing material feeding management, the actual input time, actual material input amount and actual material remaining amount of material transportation to the target workstation can be obtained. The actual input time, actual material input amount and actual material remaining amount can be obtained in real time during use by the feeding system, so as to perform material feeding management based on the actual input time, actual material input amount and actual material remaining amount.

[0035] In the material management system, the actual input time is the actual starting time point for material loading to the target workstation, the actual material input quantity is the actual material loading quantity for material loading to the target workstation, and the actual material remaining quantity is the actual material remaining quantity for material loading to the target workstation.

[0036] Figure 2 A schematic diagram of the main view structure of a scene applied to a workstation feeding monitoring method based on RFID provided in an embodiment of the present application, Figure 3 A schematic diagram of the left-view structure of a scene applied to a workstation feeding monitoring method based on RFID provided in an embodiment of the present application, such as Figure 2 and Figure 3As shown, when the method in the embodiment of the present application is in use, multiple material trays 2 can be conveyed on the conveyor belt 3, and the RFID tag 21 on the material tray 2 can be read by the RFID tag reader 11 on the frame 1. The RFID tag 21 stores material information, and then the RFID tag 21 on the material tray 2 can be read by the RFID tag reader 11 to realize the reading of the actual input time of loading, the actual material input amount and the actual material remaining amount.

[0037] Exemplarily, electronic components and other materials can be placed in the material tray 2, and the number of electrical components in each material tray 2 is a fixed value.

[0038] S120. When the actual input time corresponding to the target station is later than the planned start time, an advance input prompt message is issued to prompt the target station to load materials in advance. When the actual input time corresponding to the target station is earlier than the planned start time, and when the difference between the planned material demand and the actual material input is greater than the preset material input difference, a material quantity increase prompt message is issued to prompt the target station to increase the actual material input. When the actual input time corresponding to the target station is earlier than the planned start time, and when the difference between the planned material demand and the actual material input is less than the preset material input difference, and when the difference between the actual material remaining and the actual material input is greater than the preset material remaining difference, a material quantity reduction prompt message is issued to prompt the target station to reduce the planned material demand.

[0039] During work, when the actual input time corresponding to the target workstation is later than the planned start time, it means that the time for loading materials to the target workstation is later than the planned loading time, and an advance input prompt message can be issued to prompt the target workstation to load materials in advance, so as to prompt the target workstation to load materials in time.

[0040] During work, when the actual input time corresponding to the target workstation is earlier than the planned start time, it means that the time for loading materials to the target workstation meets the time requirement, and when the difference between the planned material demand and the actual material input is greater than the preset material input difference, it means that the difference between the actual material input and the planned material demand is large. At this time, a material quantity increase prompt message can be issued to prompt the target workstation to increase the actual material input to meet the material demand of the target workstation.

[0041] During operation, when the actual input time corresponding to the target workstation is earlier than the planned start time, and when the difference between the planned material demand and the actual material input is less than the preset material input difference, and when the difference between the actual material surplus and the actual material input is greater than the preset material surplus difference, it means that the loading time and loading quantity of the target workstation meet the usage requirements, and the material surplus corresponding to the target workstation is large. A material quantity reduction prompt message can be issued to prompt the target workstation to reduce the planned material demand, so as to prompt the target workstation to reduce the material supply and avoid excessive material surplus at the target workstation.

[0042] The beneficial effect brought about by the above-mentioned implementation method is that it monitors in turn whether the actual input time corresponding to the target workstation is earlier than the planned start time, and monitors whether the difference between the planned material demand and the actual material input is less than the preset material input difference, and monitors whether the difference between the actual material remaining and the actual material input is greater than the preset material remaining difference, so as to realize dynamic monitoring of material loading corresponding to the target workstation, improve the monitoring effect of material loading corresponding to the target workstation, and avoid the lag in material loading monitoring of the target workstation.

[0043] The beneficial effect brought about by the above-mentioned implementation method is that the material loading process is monitored contactlessly through RFID tags, which improves the convenience of monitoring the material loading process, and accurately monitors the actual input time, actual material input amount and actual material remaining amount of the material loading, thereby improving the monitoring effect of the material loading process.

[0044] In some implementations, in the above S110, the actual input time, the actual material input amount and the actual material remaining amount are obtained through the RFID chip, including S111 to S112, and S111 to S112 are specifically described below.

[0045] S111. When multiple material trays are conveying materials, the time when the signal of the RFID tag on the material tray is read is used as the actual input time, and the sum of the material quantities stored in the RFID tags on all the material trays is used as the actual material input quantity.

[0046] like Figure 2 and Figure 3 As shown, when materials are conveyed through multiple material trays, when the signal of the RFID tag on the material tray is read, it means that the material tray and the RFID tag on the material tray have entered the area where the RFID tag reader 11 is located, and then the moment when the signal of the RFID tag on the material tray is read can be used as the actual input moment.

[0047] When the RFID tag reader 11 reads the RFID tag 21 on each material tray 2, the sum of the material quantities stored in the RFID tags on all the material trays can be used as the actual material input quantity.

[0048] Exemplarily, the sum of the numbers of all RFID tags 21 on the material tray 2 can be read to count the material tray 2. Since the number of materials placed in the material tray 2 is fixed, the number of material trays 2 and the number of materials placed in the material tray 2 can be multiplied together to obtain the actual material input corresponding to all the materials in the 6 material trays 2.

[0049] S112. The actual remaining material amount is obtained by subtracting the actual material usage amount of the target workstation from the sum of the material amounts stored in the RFID tags on all the material trays.

[0050] When the process at the target station has completed material extraction, it means that the process corresponding to the target station has been completed at the current stage. When there is still a certain amount of material left at the target station, the sum of the material quantities stored in the RFID tags on all material trays minus the actual material usage of the target station can be used as the actual material remaining amount. The actual material remaining amount represents the material remaining amount corresponding to the target station.

[0051] like Figure 2 and Figure 3 As shown, when counting the materials on all the material trays, the material tray 2 can be counted by reading the RFID tag 21 on the material tray 2. Since the material tray 2 contains a fixed number of materials, the number of material trays 2 and the fixed number of materials placed in the material tray 2 can be multiplied to obtain the actual remaining amount of material.

[0052] Exemplarily, when the material in the material tray 2 is used, the position of the material tray 2 with unused material can be kept unchanged, the material tray 2 with used material can be moved out from the target workstation, and the actual remaining material amount at the end of the process corresponding to the target workstation is recorded as the actual remaining material amount, thereby achieving accurate recording of the actual remaining material amount.

[0053] Exemplarily, when determining the time when the process corresponding to the target workstation ends, the process end time can be manually entered at the time when the process corresponding to the target workstation ends, or the process end time corresponding to the target workstation can be automatically obtained to realize the statistics of the actual remaining amount of material when the process corresponding to the target workstation ends.

[0054] The beneficial effect brought about by the above-mentioned implementation method is that the number of material trays can be counted through RFID tags, and the actual material input amount and the actual material remaining amount of the material corresponding to the target workstation can be obtained by multiplying the number of material trays and the number of materials in the material trays, thereby facilitating the counting of the actual material input amount and the actual material remaining amount.

[0055] The beneficial effect brought about by the above implementation method is that by taking the time when the signal of the RFID tag on the material tray is read as the actual input time, the actual input time can be accurately recorded, thereby improving the accuracy of dynamic monitoring of the material conveying process.

[0056] The beneficial effect brought about by the above-mentioned implementation method is that the previous material loading process only monitors the material loading amount, and cannot count the actual material remaining amount during the material loading process. The embodiment of the present application counts the actual material remaining amount through the RFID tag, thereby improving the dynamic monitoring effect of the material loading process.

[0057] Figure 5 A flow chart of a second RFID-based workstation loading monitoring method provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, the above method further includes S210 to S230, and S210 to S230 are described in detail below.

[0058] S210, obtaining the planned end time corresponding to the target station, and obtaining the actual output time of material delivery to the target station. Determine the difference between the planned start time and the planned end time corresponding to the target station as the planned duration corresponding to the target station. Determine the difference between the actual input time and the actual output time corresponding to the target station as the actual duration corresponding to the target station.

[0059] Figure 4 A schematic diagram of material loading time monitoring of a workstation material loading monitoring method based on RFID provided in an embodiment of the present application is shown in FIG. Figure 4 As shown, when performing dynamic material monitoring, the planned end time Tp2 corresponding to the target workstation can be obtained, and the actual output time Tr2 for material transportation to the target workstation can be obtained.

[0060] Exemplarily, the planned end time Tp2 can be obtained through the material feeding management system.

[0061] Exemplarily, the actual output time Tr2 can be obtained by timing when the material loading corresponding to the target workstation is completed.

[0062] After obtaining the planned end time Tp2, the difference between the planned start time Tp1 and the planned end time Tp2 corresponding to the target workstation can be determined as the planned duration Tp corresponding to the target workstation. The planned duration Tp represents the planned process duration corresponding to the target workstation.

[0063] Exemplarily, the planned start time Tp1 can be obtained through the material feeding management system.

[0064] After obtaining the actual output time Tr2, the difference between the actual input time Tr1 and the actual output time Tr2 corresponding to the target station can be determined as the actual duration Tr corresponding to the target station. The actual duration Tr represents the actual process duration corresponding to the target station.

[0065] Exemplarily, the actual input time Tr1 may be the time at which the RFID tag 21 on the material tray 2 is read.

[0066] S220. When the difference between the actual duration and the planned duration is greater than the preset time difference, obtain the usage sub-time periods corresponding to the materials in each material tray used by the target workstation during the actual duration, and determine the sub-time period variance values ​​of all usage sub-time periods corresponding to the actual duration.

[0067] After obtaining the actual duration Tr and the planned duration Tp, the difference between the actual duration Tr and the planned duration Tp can be calculated and determined. The actual duration Tr and the planned duration Tp represent the difference between the actual process duration and the planned process duration corresponding to the target workstation.

[0068] After obtaining the difference Tpr between the actual duration Tr and the planned duration Tp, when the difference Tpr between the actual duration Tr and the planned duration Tp is greater than the preset time difference, it means that the time difference between the time span of the actual loading process of the target process and the time span of the planned loading process is too large, and the actual loading process corresponding to the target workstation can be further optimized.

[0069] Exemplarily, the preset time difference may be 30 minutes, 45 minutes or 60 minutes.

[0070] When optimizing the actual material loading process corresponding to the target workstation, the usage sub-time period corresponding to the material in each material tray used by the target workstation within the actual duration can be obtained. The usage sub-time period corresponding to the material in each material tray is the time for processing the material in each material tray. The usage sub-time period corresponding to the material in each material tray represents the material usage time of the material processing process of the process corresponding to the target workstation.

[0071] After obtaining the usage sub-time periods corresponding to the materials in each material tray, the sub-time period variance values ​​of all usage sub-time periods corresponding to the actual duration can be determined. The sub-time period variance values ​​represent the time fluctuation amplitude of the materials in multiple material trays used in the process corresponding to the target workstation.

[0072] S230: When the variance value of the sub-time period is greater than or equal to the preset variance value of the sub-time period, a station optimization prompt message is issued to optimize the production process of the target station. When the variance value of the sub-time period is less than the preset variance value of the sub-time period, a process optimization prompt message is issued to optimize the process flow of the target station.

[0073] After obtaining the sub-time period variance value, when the sub-time period variance value is greater than or equal to the preset sub-time period variance value, it means that the speed uniformity of material usage in the production process of the process corresponding to the target workstation is insufficient, and a workstation optimization prompt message for optimizing the production process of the target workstation can be issued to prompt optimization of the production process of the process corresponding to the target workstation, so as to improve the material usage uniformity of the production process of the process corresponding to the target workstation.

[0074] After obtaining the sub-time period variance value, when the sub-time period variance value is less than the preset sub-time period variance value, it means that the speed of material use in the process corresponding to the target station is relatively uniform, and a process optimization prompt information for optimizing the process flow of the target station can be issued to prompt the process corresponding to the target station to be optimized, so as to reduce the difference between the actual duration Tr and the planned duration Tp, and realize the optimization of the loading process.

[0075] The beneficial effect brought about by the above-mentioned implementation method is that the loading process is dynamically monitored, and the difference between the actual duration and the planned duration is monitored. When the difference between the actual duration and the planned duration is large, the time fluctuation amplitude of the materials in multiple material trays used in the process corresponding to the target workstation is calculated, and the process corresponding to the target workstation is optimized according to the time fluctuation amplitude of the materials in multiple material trays used in the process corresponding to the target workstation, thereby improving the optimization effect of the loading process.

[0076] The beneficial effect brought about by the above-mentioned implementation method is that when the time fluctuation range of the process corresponding to the target station using materials in multiple material trays is large, the process of using materials in multiple material trays in the process corresponding to the target station is optimized, thereby improving the optimization effect of the loading process of the process corresponding to the target station.

[0077] The beneficial effect brought about by the above-mentioned implementation method is that when the time fluctuation amplitude of the process corresponding to the target workstation using materials in multiple material trays is small, the process flow of the process corresponding to the target workstation is optimized to reduce the difference between the actual duration and the planned duration corresponding to the target workstation, thereby improving the dynamic monitoring effect of the loading process and the optimization effect of the loading process.

[0078] Figure 6 A schematic diagram of the process of a third RFID-based workstation loading monitoring method provided in an embodiment of the present application is shown in FIG. Figure 6 As shown, the above method also includes S310 to S320, and S310 to S320 are described in detail below.

[0079] S310: When the difference between the actual duration and the planned duration corresponding to the plurality of workstations is greater than a preset time difference, obtain the workstation priorities corresponding to the plurality of workstations whose sub-time period variance values ​​are less than the preset sub-time period variance value.

[0080] When monitoring material loading at multiple workstations, when the difference between the actual duration Tr and the planned duration Tp corresponding to the multiple workstations is greater than the preset time difference, it means that the difference between the actual duration Tr and the planned duration Tp of the multiple workstations is large, indicating that the time for the loading process of the multiple workstations is relatively sufficient, and the process flow of the processes corresponding to the multiple workstations can be optimized.

[0081] It should be noted that when material loading is monitored at multiple workstations, the types of materials corresponding to the multiple workstations may be different.

[0082] Exemplarily, when optimizing the process flow in which the processes corresponding to the multiple workstations are located, the processes corresponding to the multiple workstations may belong to the same process flow.

[0083] When optimizing the process flow of the processes corresponding to multiple workstations, it is possible to determine multiple workstations whose sub-time period variance values ​​are less than the preset sub-time period variance value, and the speed fluctuation amplitude of material use of the multiple workstations whose sub-time period variance values ​​are less than the preset sub-time period variance value is small. At this time, the workstation priorities corresponding to the multiple workstations whose sub-time period variance values ​​are less than the preset sub-time period variance value can be obtained.

[0084] S320, loading materials to multiple workstations in sequence according to the order of workstation priority from high to low.

[0085] When optimizing the process flow of the processes corresponding to multiple workstations, the multiple workstations can be loaded with materials in sequence according to the order of workstation priority from high to low, so as to utilize sufficient time of the multiple workstations to load materials to the multiple workstations, thereby optimizing the process flow of the processes corresponding to the multiple workstations.

[0086] The beneficial effect brought about by the above implementation method is that when the difference between the actual duration and the planned duration of multiple workstations is large, the multiple workstations can be loaded with materials in sequence according to the order of workstation priority from high to low, thereby optimizing the material loading of multiple workstations.

[0087] The beneficial effect brought about by the above-mentioned implementation method is that when the difference between the actual duration and the planned duration of multiple workstations is large, multiple workstations whose sub-time period variance value is less than the preset sub-time period variance value are determined, and only multiple workstations with a smaller speed fluctuation amplitude of the materials used among the multiple workstations are optimized, thereby ensuring the robustness of the optimization of the loading process for multiple workstations.

[0088] The beneficial effect brought about by the above-mentioned implementation method is that it will not optimize the multiple workstations where the speed fluctuation of the materials used is large, and can avoid optimizing the workstations where the speed fluctuation of the materials used is large, thereby avoiding the delay of material feeding at the workstations where the speed fluctuation of the materials used is large, thereby improving the optimization effect of material feeding at multiple workstations.

[0089] In some implementations, the above method further includes S410 to S430, and S410 to S430 are described in detail below.

[0090] S410: When the difference between the actual duration and the planned duration corresponding to the plurality of workstations is greater than a preset time difference, obtain the workstation priority indexes corresponding to the plurality of workstations whose sub-time period variance values ​​are less than the preset sub-time period variance value.

[0091] When optimizing material loading, when the difference between the actual duration and the planned duration corresponding to multiple workstations is greater than the preset time difference, it means that the time for the loading process of multiple workstations is relatively sufficient, and then the loading process can be optimized for multiple workstations where the difference between the actual duration and the planned duration is greater than the preset time difference.

[0092] When optimizing the loading process of multiple workstations, the workstation priority indexes corresponding to the multiple workstations whose sub-time period variance values ​​are less than the preset sub-time period variance values ​​can be obtained. The material usage speed fluctuation range of the multiple workstations whose sub-time period variance values ​​are less than the preset sub-time period variance values ​​is small. The workstation priority index represents the workstation priority of the multiple workstations whose material usage speed fluctuation range is small.

[0093] S420, determining the ratio of the priority indexes corresponding to the plurality of workstations and the variance values ​​of the sub-time periods, as the workstation feeding adjustment priority index.

[0094] When optimizing multiple workstations, the ratio of the priority index and the sub-time period variance value corresponding to the multiple workstations can be determined as the workstation feeding adjustment priority index. The larger the priority index of the first workstation and the smaller the sub-time period variance value, the more priority the first workstation needs to be loaded, that is, the larger the workstation feeding adjustment priority index corresponding to the first workstation is.

[0095] S430, loading materials into the multiple workstations in sequence according to the order of the workstation adjustment priority index from high to low.

[0096] When optimizing material loading for multiple workstations in the process flow, the multiple workstations can be loaded with materials in sequence according to the order of workstation adjustment priority index from high to low, so that materials are loaded in the order of priority loading, thereby improving the effect of material loading.

[0097] The beneficial effect brought about by the above-mentioned implementation method is that when the importance of the first workstation is higher and the material usage speed is more stable, that is, the priority index of the first workstation is larger and the variance value of the sub-time period is smaller, the workstation feeding adjustment priority index corresponding to the first workstation is larger, and the first workstation is given more priority in loading, thereby improving the robustness and optimization effect of material loading optimization for the first workstation.

[0098] In some implementations, in the above-mentioned S120, when the actual input time corresponding to the target workstation is earlier than the planned start time, and when the difference between the planned material demand and the actual material input is greater than the preset material input difference, a material quantity increase prompt information is issued to prompt the target workstation to increase the actual material input, including S121 to S122. S121 to S122 are described in detail below.

[0099] S121. Obtain the target material inventory, and obtain the actual material inventory through the RFID tag. Determine the ratio of the actual material inventory to the target material inventory as the material inventory index.

[0100] When optimizing the material loading process, the target material inventory can be obtained, and the target material inventory represents the target material inventory that needs to be reached for storing materials in the warehouse.

[0101] When optimizing the material loading process, the actual material inventory can also be obtained through RFID tags. The actual material inventory is the actual material storage quantity in the warehouse.

[0102] It should be noted that the target material inventory and the actual material inventory are both the material quantities of the same material.

[0103] Exemplarily, when the actual material inventory is obtained through the RFID tag, it can be obtained by making a material judgment based on the RFID tag.

[0104] After the actual material inventory and the target material inventory are obtained, the ratio of the actual material inventory to the target material inventory can be determined as a material inventory index, which represents the difference between the actual material inventory and the target material inventory.

[0105] S122. Determine the material quantity difference between the planned material demand and the actual material input, and determine the product of the material quantity difference and the material inventory index as the material quantity increase value. The material quantity increase prompt information prompts the target workstation to increase the actual material input according to the material quantity increase value.

[0106] When optimizing material loading, determine the material quantity difference between the planned material demand and the actual material input. The material quantity difference is the preliminarily determined material quantity to supplement the material loading quantity.

[0107] After obtaining the material quantity difference, the product of the material quantity difference and the material inventory index can be determined. The product of the material quantity difference and the material inventory index is the material quantity replenished according to the material loading quantity adjusted according to the material inventory index, which is used as the material quantity increase value.

[0108] After obtaining the material quantity increase value, the actual material input quantity can be increased according to the material quantity increase value prompt for the target workstation through the material quantity increase prompt information to achieve an increase in the material input quantity.

[0109] The beneficial effect brought about by the above-mentioned implementation method is that the ratio of the actual material inventory and the target material inventory is determined as the material inventory index, and the amount of material to be replenished is adjusted according to the material inventory index. The adjustment amount of the material loading amount can be adjusted in combination with the material inventory, thereby improving the scientific management of the material loading amount.

[0110] In some implementations, the above method further includes S510 to S520, and S510 to S520 are described in detail below.

[0111] S510. Within a preset material supply cycle, determine a variance value of the ratio of the actual material inventory to the target material inventory as a material inventory fluctuation index.

[0112] When adjusting the material feeding amount, the variance value of the ratio of the actual material inventory to the target material inventory can be determined within the preset feeding cycle as the material inventory fluctuation index, which represents the fluctuation amplitude of the material inventory change within the preset feeding cycle.

[0113] Exemplarily, the preset feeding period may be 7 days, 15 days or 30 days.

[0114] S520, when the material inventory fluctuation index is greater than or equal to the preset material inventory fluctuation index, the plurality of workstations are sequentially loaded with materials in descending order of the workstation priority. When the material inventory fluctuation index is less than the preset material inventory fluctuation index, the ratio of the priority index and the variance value of the sub-time period corresponding to the plurality of workstations is determined as the workstation feeding adjustment priority index, and the plurality of workstations are sequentially loaded with materials in descending order of the workstation adjustment priority index.

[0115] During operation, when the material inventory fluctuation index is greater than or equal to the preset material inventory fluctuation index, it means that the fluctuation range of the material inventory change within the preset feeding cycle is large, and the material inventory change within the preset feeding cycle can be deemed to have no reference significance. The material can be fed to multiple workstations in sequence only in descending order of workstation priority to adjust the material feeding quantity of multiple workstations.

[0116] During operation, when the material inventory fluctuation index is less than the preset material inventory fluctuation index, it means that the fluctuation range of the material inventory change within the preset feeding cycle is small. The ratio of the priority index and the sub-time period variance value corresponding to multiple workstations can be determined as the workstation feeding adjustment priority index. The multiple workstations are fed in sequence according to the workstation adjustment priority index from high to low.

[0117] The beneficial effect brought about by the above-mentioned implementation method is that when the fluctuation range of the material inventory change within the preset feeding cycle is small, the ratio of the priority index and the sub-time period variance value corresponding to multiple workstations can be determined as the workstation feeding adjustment priority index, and the materials are loaded in the order of the workstation adjustment priority index from high to low, thereby ensuring the relative stability of the material inventory and material feeding adjustment.

[0118] The beneficial effect brought about by the above-mentioned implementation method is that when the material inventory fluctuates greatly, it means that the fluctuation range of the material inventory change within the preset feeding cycle is large. Material adjustments are only made based on the priority indexes corresponding to multiple workstations, which simplifies the convenience of adjusting the material loading process.

[0119] In some implementations, the above method also includes: when the material inventory fluctuation index is less than the preset material inventory fluctuation index, determining the ratio of the workstation feeding adjustment priority index and the material inventory fluctuation index as the workstation feeding comprehensive index, and feeding multiple workstations in sequence according to the order of the workstation feeding comprehensive index from high to low.

[0120] During operation, when the material inventory fluctuation index is less than the preset material inventory fluctuation index, it means that the fluctuation range of the material inventory is small, and then the ratio of the workstation feeding adjustment priority index and the material inventory fluctuation index can be determined. The ratio of the workstation feeding adjustment priority index and the material inventory fluctuation index represents the priority of the material loading quantity adjustment corresponding to the workstation, which serves as the comprehensive index of the workstation feeding.

[0121] The larger the workstation feeding adjustment priority index is, the higher the material loading priority of the workstation is. The smaller the material inventory fluctuation index is, the smaller the fluctuation range of the material inventory is. The larger the workstation feeding comprehensive index is, the higher the material inventory loading level is and the smaller the fluctuation range of the material inventory is.

[0122] When adjusting the material feeding amount during operation, multiple workstations can be fed in sequence according to the order of the comprehensive feeding index of the workstation from high to low.

[0123] The beneficial effect brought about by the above-mentioned implementation method is that multiple workstations are loaded with materials in sequence in the order of the ratio of the workstation feeding adjustment priority index and the material inventory fluctuation index from high to low, ensuring that materials with more stable material inventories and higher loading priorities are loaded first, thereby improving the scientificity and reliability of material loading adjustment.

[0124] An embodiment of the present application also provides an RFID-based workstation loading monitoring system, comprising a unit for use in any of the above methods.

[0125] Figure 7 A logical structure diagram of a RFID-based workstation feeding monitoring system provided in one embodiment of the present application is shown in FIG. Figure 7 As shown, the system 4 of this embodiment includes a processing unit 41, a storage unit 42 and a transceiver unit 43. The processing unit 41 is used to process data, the storage unit 42 is used to store data, and the transceiver unit 43 is used to send and receive data. The processing unit 41, the storage unit 42 and the transceiver unit 43 cooperate with each other to implement the above method. The beneficial effects brought by the embodiment of the present application have been described in the above method and will not be repeated here.

[0126] An embodiment of the present application also provides an RFID-based workstation loading monitoring system, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements any of the methods described above when executing the computer program.

[0127] Figure 8 A schematic diagram of the physical structure of a workstation feeding monitoring system based on RFID is provided in one embodiment of the present application, as shown in FIG. Figure 8As shown, the system 5 of this embodiment includes: at least one processor 50 ( Figure 8 Only one processor 50 is shown in the figure), a memory 51, and a computer program 52 stored in the memory 51 and executable on the at least one processor 50. When the processor 50 executes the computer program 52, the steps in any of the above-mentioned method embodiments are implemented. The beneficial effects brought about by the embodiments of the present application have been described in the above-mentioned methods and will not be repeated here.

[0128] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0129] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0130] An embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0131] An embodiment of the present application provides a computer program product. When the computer program product runs on a mobile terminal, the mobile terminal can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0132] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0133] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0134] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0135] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0136] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0137] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for monitoring material loading at a workstation based on RFID, characterized in that: The method comprises: Obtain the planned start time, planned material demand and planned material remaining quantity corresponding to the target workstation, and obtain the actual input time, actual material input quantity and actual material remaining quantity for material transportation to the target workstation; wherein the actual input time, actual material input quantity and actual material remaining quantity are obtained through RFID tags; When the actual input time corresponding to the target workstation is later than the planned start time, an advance input prompt message is issued to prompt the target workstation to load materials in advance; when the actual input time corresponding to the target workstation is earlier than the planned start time, and when the difference between the planned material demand and the actual material input is greater than the preset material input difference, a material quantity increase prompt message is issued to prompt the target workstation to increase the actual material input; when the actual input time corresponding to the target workstation is earlier than the planned start time, and when the difference between the planned material demand and the actual material input is less than the preset material input difference, and when the difference between the actual material remaining and the actual material input is greater than the preset material remaining difference, a material quantity reduction prompt message is issued to prompt the target workstation to reduce the planned material demand.

2. The method according to claim 1, characterized in that The actual input time, actual material input amount and actual material remaining amount are obtained through the RFID chip, including: When multiple material trays are conveying materials, the time when the signal of the RFID tag on the material tray is read is taken as the actual input time, and the sum of the material quantities stored in the RFID tags on all material trays is taken as the actual material input quantity; The actual remaining material quantity is obtained by subtracting the actual material usage of the target workstation from the sum of the material quantities stored in the RFID tags on all material trays.

3. The method according to claim 2, characterized in that The method further comprises: Obtain the planned end time corresponding to the target station, and obtain the actual output time for material transportation to the target station; determine the difference between the planned start time and the planned end time corresponding to the target station as the planned duration corresponding to the target station; determine the difference between the actual input time and the actual output time corresponding to the target station as the actual duration corresponding to the target station; When the difference between the actual duration and the planned duration is greater than the preset time difference, the sub-time periods corresponding to the use of the materials in each material tray by the target workstation during the actual duration are obtained, and the sub-time period variance values ​​of all the sub-time periods corresponding to the actual duration are determined; When the sub-time period variance value is greater than or equal to the preset sub-time period variance value, a workstation optimization prompt message is issued to optimize the production process of the target workstation; when the sub-time period variance value is less than the preset sub-time period variance value, a process optimization prompt message is issued to optimize the process flow of the target workstation.

4. The method according to claim 3, characterized in that The method further comprises: When the difference between the actual duration and the planned duration corresponding to the plurality of workstations is greater than the preset time difference, obtaining the workstation priorities corresponding to the plurality of workstations whose sub-time period variance values ​​are less than the preset sub-time period variance value; Load multiple workstations in sequence according to the workstation priority from high to low.

5. The method according to claim 4, characterized in that The method further comprises: When the difference between the actual duration and the planned duration corresponding to the plurality of workstations is greater than the preset time difference, obtaining the workstation priority indexes corresponding to the plurality of workstations whose sub-time period variance values ​​are less than the preset sub-time period variance value; Determine the ratio of the priority indexes and the variance values ​​of the sub-time periods corresponding to the plurality of workstations respectively as the workstation feeding adjustment priority index; The multiple workstations are loaded with materials in sequence according to the order of the workstation adjustment priority index from high to low.

6. The method according to claim 5, characterized in that When the actual input time corresponding to the target workstation is earlier than the planned start time, and when the difference between the planned material demand and the actual material input is greater than the preset material input difference, a material quantity increase prompt message is issued to prompt the target workstation to increase the actual material input, including: Obtain the target material inventory and obtain the actual material inventory through the RFID tag; determine the ratio of the actual material inventory to the target material inventory as the material inventory index; The product of the difference between the planned material demand and the actual material input and the material inventory index is determined as the material quantity increase value. The material quantity increase prompt information prompts the target workstation to increase the actual material input according to the material quantity increase value.

7. A workstation feeding monitoring system based on RFID, characterized in that: Comprising means for performing the method according to any one of claims 1 to 6.

8. A workstation loading monitoring system based on RFID, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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