Device information determination method and apparatus, and computer device and storage medium

Abstract

A device information determination method, comprising: acquiring operation information of an operation device performing operation on an operation object; on the basis of the operation information, determining candidate device collaborative work information, which indicates a candidate collaborative operation mode in which the operation device performs collaborative operation on the operation object; on the basis of simulated collaborative operation corresponding to the candidate device collaborative operation information, performing prediction to obtain a predicted collaborative operation result corresponding to the candidate device collaborative operation information; and on the basis of the predicted collaborative operation result, screening the candidate device collaborative operation information to obtain target device collaborative operation information.

Description

Device information determination method and device, computer device, and storage medium

[0001] Cross-reference to Related Applications

[0002] The present application claims priority to the Chinese patent application No. 202411080251.5, filed on August 7, 2024, and entitled "Device information determination method, computer device, and storage medium", the contents of which are hereby incorporated by reference in their entirety. TECHNICAL FIELD

[0003] The present application relates to the technical field of computers, and in particular to a device information determination method, device, computer device, storage medium, and computer program product. BACKGROUND

[0004] With the development of intelligent manufacturing and automation technology, the collaborative work between devices plays an increasingly important role in industrial production. Therefore, how to efficiently determine device collaborative work information has become an important research direction.

[0005] The traditional technology usually determines device collaborative work information by manually analyzing device information. However, this method requires a lot of manual processing time, resulting in low efficiency in determining device collaborative work information. SUMMARY

[0006] According to various embodiments of the present application, a device information determination method, device, computer device, computer-readable storage medium, and computer program product capable of improving the efficiency of determining device collaborative work information are provided.

[0007] In a first aspect, the present application provides a device information determination method. The method comprises:

[0008] obtaining work information of a work device working on a work object;

[0009] determining candidate device collaborative work information according to the work information; the candidate device collaborative work information representing a candidate collaborative work mode of the work device collaboratively working on the work object;

[0010] predicting a predicted collaborative work result corresponding to the candidate device collaborative work information according to a simulated collaborative work corresponding to the candidate device collaborative work information; and

[0011] selecting target device collaborative work information from the candidate device collaborative work information according to the predicted collaborative work result.

[0012] In a second aspect, the present application provides a device information determination apparatus. The apparatus comprises:

[0013] an information acquisition module configured to acquire job information of a job device performing a job on a job object;

[0014] an information determination module configured to determine candidate device cooperative job information according to the job information, the candidate device cooperative job information representing a candidate cooperative job mode of the job device performing a cooperative job on the job object;

[0015] a result prediction module configured to predict a predicted cooperative job result corresponding to the candidate device cooperative job information according to a simulated cooperative job corresponding to the candidate device cooperative job information;

[0016] an information screening module configured to screen target device cooperative job information from the candidate device cooperative job information according to the predicted cooperative job result.

[0017] In a third aspect, the present application provides a computer device. The computer device comprises a memory and a processor, the memory storing a computer program, and the processor implementing the following operations when executing the computer program:

[0018] acquiring job information of a job device performing a job on a job object;

[0019] determining candidate device cooperative job information according to the job information, the candidate device cooperative job information representing a candidate cooperative job mode of the job device performing a cooperative job on the job object;

[0020] predicting a predicted cooperative job result corresponding to the candidate device cooperative job information according to a simulated cooperative job corresponding to the candidate device cooperative job information;

[0021] screening target device cooperative job information from the candidate device cooperative job information according to the predicted cooperative job result.

[0022] In a fourth aspect, the present application provides a computer readable storage medium. The computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the following operations:

[0023] acquiring job information of a job device performing a job on a job object;

[0024] determining candidate device cooperative job information according to the job information, the candidate device cooperative job information representing a candidate cooperative job mode of the job device performing a cooperative job on the job object;

[0025] predict a predicted cooperative operation result corresponding to the candidate device cooperative operation information according to a simulated cooperative operation corresponding to the candidate device cooperative operation information;

[0026] screen target device cooperative operation information from the candidate device cooperative operation information according to the predicted cooperative operation result.

[0027] In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the following operations:

[0028] obtain operation information of an operation device operating on an operation object;

[0029] determine candidate device cooperative operation information according to the operation information; the candidate device cooperative operation information indicates a candidate cooperative operation mode of the operation device cooperatively operating on the operation object;

[0030] predict a predicted cooperative operation result corresponding to the candidate device cooperative operation information according to a simulated cooperative operation corresponding to the candidate device cooperative operation information;

[0031] screen target device cooperative operation information from the candidate device cooperative operation information according to the predicted cooperative operation result.

[0032] The device information determination method and device, the computer device, the storage medium and the computer program product obtain operation information of an operation device operating on an operation object, determine candidate device cooperative operation information according to the operation information, the candidate device cooperative operation information indicates a candidate cooperative operation mode of the operation device cooperatively operating on the operation object, predict a predicted cooperative operation result corresponding to the candidate device cooperative operation information according to a simulated cooperative operation corresponding to the candidate device cooperative operation information, and screen target device cooperative operation information from the candidate device cooperative operation information according to the predicted cooperative operation result. This scheme determines candidate device cooperative operation information according to operation information of an operation device operating on an operation object, predicts a corresponding predicted cooperative operation result according to a simulated cooperative operation corresponding to candidate device cooperative operation information, and screens target device cooperative operation information according to a predicted cooperative operation result, so that the best device cooperative operation information is automatically determined by simulating different candidate cooperative operation modes, predicting a corresponding cooperative operation result, and screening target device cooperative operation information, thereby improving the efficiency and accuracy of determining device cooperative operation information.

[0033] The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below. Other features and advantages of the application will become apparent from the description, the drawings, and the claims. BRIEF DESCRIPTION OF DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the application or the related art, the accompanying drawings needed to be used in the embodiments or the related art description will be briefly introduced. Obviously, the accompanying drawings in the following description are only some embodiments of the application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative work.

[0035] FIG. 1 is a flowchart of a device information determination method according to one or more embodiments;

[0036] FIG. 2 is a flowchart of an operation of determining a predicted collaborative work result according to one or more embodiments;

[0037] FIG. 3 is a flowchart of an operation of determining a digital twin model according to one or more embodiments;

[0038] FIG. 4 is a flowchart of an operation of determining candidate device collaborative work information according to one or more embodiments;

[0039] FIG. 5 is a flowchart of an operation of determining a candidate collaborative work mode according to one or more embodiments;

[0040] FIG. 6 is a block diagram of a device information determination apparatus according to one or more embodiments;

[0041] FIG. 7 is a block diagram of a computer device according to one or more embodiments. DETAILED DESCRIPTION

[0042] In order to make the purposes, technical solutions and advantages of the application clearer, the application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the application and not to limit the application.

[0043] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the application are all information and data authorized by the user or authorized by all parties, and the collection, use and processing of related data need to comply with relevant regulations.

[0044] In a logistics sorting scene, there are many small sorting devices in the transfer field, such as a ring sorting machine, a linear sorting machine, an intelligent sorting cabinet, etc. When sorting in shifts, the field personnel will flexibly arrange different sorting devices for sorting according to the quantity of the incoming pieces. The use strategy is temporary and random, and the manual participation is high. Since the quantity of the incoming pieces is not known in advance, the device use strategy is manually formulated without big data support and verification environment, which may cause improper use of devices, waste of resources such as devices, personnel and power. The application makes the following improvements: optimizing the work coordination strategy between sorting devices in the logistics transfer field, using digital twinning and operations optimization technology to optimize device use, maximizing device utilization and improving regional productivity. It can not only be applied to logistics transfer sorting devices, but also be used in other fields related to device scheduling, such as airports, warehouses and industrial parks.

[0045] Based on this, the application provides a device information determination method and device, computer equipment, storage medium and computer program product. First, the device information determination method provided by the application is described.

[0046] In one of the example embodiments, as shown in FIG. 1, a device information determination method is provided, and the embodiment is exemplified by applying the method to a terminal; It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is realized through the interaction between the terminal and the server. Wherein, the terminal can be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, etc.; The server can be realized by an independent server or a server cluster composed of multiple servers. In the embodiment, the method includes the following operations:

[0047] Operation S101, obtaining work information of a work device working on a work object.

[0048] Wherein, the work device can be each work device participating in collaborative work, for example, in a logistics scene, the work device can be different sorting devices, such as ring sorting machines, linear sorting machines, intelligent sorting cabinets, etc.

[0049] Wherein, the work object can be an object that needs to be worked on by the work device, for example, in a logistics scene, the work object can be a fast piece (which can also be at least one of a workpiece and an express) that needs to be sorted.

[0050] Wherein, the work information can be the information of each work device (such as a sorting device) in terms of technical parameters such as type, speed and capacity.

[0051] Optionally, the terminal obtains work information of different work devices working on different work objects, for example, obtains technical parameter information of each type of work device in terms of speed, capacity, etc. when working on different types of work objects, as work information.

[0052] In operation S102, candidate device cooperative work information is determined according to the work information. The candidate device cooperative work information represents a candidate cooperative work mode of the work devices cooperatively working on the work objects.

[0053] The candidate device cooperative work information can be a cooperative work combination scheme of different work devices set according to the work information. These cooperative work combination schemes can be candidate schemes.

[0054] Optionally, the terminal determines possible cooperative work modes of the work devices cooperatively working on the work objects according to the obtained work information, as candidate cooperative work modes. These candidate cooperative work modes represent schemes of the work devices cooperatively working on the work objects under different combinations. The candidate cooperative work modes are taken as the candidate device cooperative work information.

[0055] In operation S103, a predicted cooperative work result corresponding to the candidate device cooperative work information is predicted according to a simulated cooperative work corresponding to the candidate device cooperative work information.

[0056] The simulated cooperative work can be a process of simulating each candidate device cooperative work information to realize virtual cooperative work. For example, the simulated cooperative work is specifically simulating various candidate device cooperative schemes (candidate cooperative work modes) by using a digital twin model, for simulating a sorting process.

[0057] The predicted cooperative work result can be a cooperative work result obtained by the simulated cooperative work. For example, the predicted cooperative work result can be a virtual sorting result of each candidate scheme, such as efficiency, cost, etc. obtained by simulating the digital twin model.

[0058] Optionally, the terminal simulates the cooperative work according to the determined various candidate cooperative work modes, for example, simulates a sorting process of each candidate scheme. According to the simulated cooperative work, a cooperative work result corresponding to each candidate cooperative work mode is predicted to obtain a predicted cooperative work result corresponding to the candidate device cooperative work information.

[0059] In operation S104, target device cooperative work information is selected from the candidate device cooperative work information according to the predicted cooperative work result.

[0060] The target device cooperative operation information can be candidate device cooperative operation information corresponding to the optimal predicted cooperative operation result. For example, the target device cooperative operation information can be candidate device cooperative operation information corresponding to the highest efficiency, such as the device cooperative operation scheme corresponding to the highest efficiency of the simulated cooperative operation.

[0061] Optionally, the terminal screens, as the target device cooperative operation information, the candidate device cooperative operation information with the best effect from all candidate device cooperative operation information (candidate cooperative operation modes) according to the predicted cooperative operation result.

[0062] In the device information determination method, the operation information of the operation of the operation device on the operation object is obtained, the candidate device cooperative operation information is determined according to the operation information, the candidate device cooperative operation information represents the candidate cooperative operation mode of the cooperative operation of the operation device on the operation object, the predicted cooperative operation result corresponding to the candidate device cooperative operation information is predicted according to the simulated cooperative operation corresponding to the candidate device cooperative operation information, and the target device cooperative operation information is screened from the candidate device cooperative operation information according to the predicted cooperative operation result. According to the operation information of the operation of the operation device on the operation object, the candidate device cooperative operation information is determined, the predicted cooperative operation result corresponding to the candidate device cooperative operation information is predicted according to the simulated cooperative operation corresponding to the candidate device cooperative operation information, and the target device cooperative operation information is screened according to the predicted cooperative operation result. In this way, when the device information is determined, the target device cooperative operation information is screened by simulating different candidate cooperative operation modes and predicting the corresponding cooperative operation result, so that the best device cooperative operation information is automatically determined, thereby improving the efficiency and accuracy of determining the device cooperative operation information.

[0063] In one of the example embodiments, as shown in FIG. 2, in operation S103, the predicted cooperative operation result corresponding to the candidate device cooperative operation information is predicted according to the simulated cooperative operation corresponding to the candidate device cooperative operation information, and specifically includes the following contents:

[0064] Operation S201, the simulated cooperative operation corresponding to the candidate device cooperative operation information is performed through the digital twin model, and the simulated cooperative operation result corresponding to the candidate device cooperative operation information is obtained.

[0065] Operation S202, the predicted cooperative operation result corresponding to the candidate device cooperative operation information is predicted according to the simulated cooperative operation result.

[0066] The digital twin model can be a virtual model of each operation device established by using digital technology, which can simulate the working process of the physical device.

[0067] The simulation collaborative work can be a simulation process of each candidate device collaborative work scheme (candidate collaborative work mode) in a virtual environment by using a digital twin model.

[0068] The simulation collaborative work result can be an output of the simulation process, such as the running state of the work device, the sorting efficiency, and other specific data under each candidate collaborative work mode.

[0069] Optionally, the terminal imports the device collaborative relationship and other information in each candidate device collaborative work information into the corresponding digital twin model; performs simulation running of the candidate collaborative work mode in the virtual environment according to the device technical parameters and other information through the digital twin model; records and obtains the simulation results (predicted collaborative work results) of the device state change, the sorting efficiency, and the like of each candidate collaborative work mode during the simulation running; and performs prediction analysis on the predicted effect of each candidate collaborative work mode in the real environment according to the simulation results of the candidate collaborative work modes, for example, predicts the numerical value of each candidate collaborative work mode in the sorting pass rate, the device utilization rate, and other indicators, so as to obtain the predicted collaborative work result corresponding to the candidate device collaborative work information.

[0070] The technical scheme provided in the embodiment is beneficial to predicting a more accurate predicted collaborative work result corresponding to the candidate device collaborative work information, thereby being beneficial to improving the accuracy of determining the device collaborative work information.

[0071] In one of the example embodiments, as shown in FIG. 3, the operation of determining the digital twin model further includes the following contents:

[0072] Operation S301, obtaining logistics sorting device information of the work device;

[0073] Operation S302, generating a virtual logistics sorting device model of the work device according to the logistics sorting device information;

[0074] Operation S303, performing fusion processing on the virtual logistics sorting device model to obtain a digital twin model.

[0075] The work device belongs to a logistics sorting device; the logistics sorting device includes at least one of a ring sorting machine, a straight line sorting machine, and an intelligent sorting cabinet. The ring sorting machine, the straight line sorting machine, and the intelligent sorting cabinet belong to different types of logistics sorting devices.

[0076] The device information can be technical parameter information of each work device, such as device size, speed, function, and other specific technical data.

[0077] The logistics sorting equipment information can be device information of the logistics sorting equipment, for example, at least one of device information of a carousel sorting machine, device information of a linear sorting machine, and device information of an intelligent sorting cabinet.

[0078] The virtual device model can be a digital model of each entity device simulated and established by using digital technology.

[0079] The virtual logistics sorting equipment model can be at least one of a virtual device model of a carousel sorting machine, a virtual device model of a linear sorting machine, and a virtual device model of an intelligent sorting cabinet.

[0080] The fusion processing can be processing of integrating the established individual virtual logistics sorting equipment models, connecting the input-output relationship therebetween, and thus forming a complete device system model.

[0081] Optionally, the terminal obtains logistics sorting equipment information of the work equipment, for example, obtains technical parameters of each sorting equipment in a logistics transfer field; establishes a model of each work equipment in a digital space according to the logistics sorting equipment information of each work equipment, generates individual virtual logistics sorting equipment models of the work equipment; integrates the generated individual virtual logistics sorting equipment models, for example, connects the input-output relationship therebetween, and uses the completely integrated virtual logistics sorting equipment model as a digital twin model to simulate the entire sorting work process.

[0082] The technical scheme provided in this embodiment establishes virtual device models of work equipment according to device information of the work equipment, and then integrates and connects the individual virtual device models to form a digital twin model that can simulate the entire work process, which is beneficial to obtaining a more accurate digital twin model, and thus is beneficial to improving the accuracy of determining device collaborative work information.

[0083] In one of the example embodiments, as shown in FIG. 4, in operation S102, candidate device collaborative work information is determined according to work information, specifically including the following contents:

[0084] In operation S401, the work equipment and the work object are combined according to the work information, to obtain a combination mode between the work equipment and the work object.

[0085] In operation S402, a candidate collaborative work mode of the work equipment for the work object is determined according to the combination mode, as the candidate device collaborative work information.

[0086] The job information can further include device information of the job device and object information of the job object. For example, the object information of the job object can include the number and type of the job object.

[0087] The combination processing can be matching combination of the job device and the job object. For example, the combination processing can be used to match which type of job device to which type of job object for job.

[0088] The combination mode can be a matching relationship between the job device and the job object, for example, which type of job device to which type of job object for job.

[0089] The candidate device cooperative job information can be an optional scheme of how the job device cooperates in a job, for example, which device to sort which type of express in which order.

[0090] Optionally, the terminal obtains device information of the job device and object information of the job object from the job information, matches a corresponding relationship between the job device (such as different types of sorting devices) and the job object (such as different types of express) according to the device information and the object information, obtains a combination mode between the job device and the job object, determines a feasible scheme of how each job device cooperates to complete the job task in this job according to the combination mode, obtains a candidate cooperative job mode of the job device to the job object, and identifies each obtained candidate cooperative job mode as candidate device cooperative job information.

[0091] The technical scheme provided in the embodiment is beneficial to efficiently and accurately determining the candidate device cooperative job information, thereby improving the efficiency and accuracy of determining the device cooperative job information.

[0092] In one of the example embodiments, as shown in FIG. 5, the candidate cooperative job mode of the job device to the job object is determined according to the combination mode, and specifically includes the following contents:

[0093] Operation S501: performing genetic iteration processing on the combination mode according to the job information to obtain a candidate combination mode;

[0094] Operation S502: screening the candidate combination mode from the candidate combination mode according to the predicted cooperative job time corresponding to the candidate combination mode;

[0095] Operation S503: determining the candidate cooperative job mode according to the candidate combination mode.

[0096] Among them, genetic iteration processing can be a process of iterative optimization through genetic algorithms.

[0097] Among them, the alternative combination method can be a matching relationship scheme between the working equipment and the working object obtained by genetic algorithm optimization.

[0098] The predicted collaborative operation time corresponding to the alternative combination method can be the predicted operation time required for the corresponding alternative combination method.

[0099] Among them, the candidate combination can be one or more alternative combinations that have the smallest predicted collaborative operation time.

[0100] Optionally, the terminal encodes the combination method (initial combination method), sets genetic operators (such as crossover, mutation, etc.), and generates new combination methods as candidate combination methods through repeated selection, crossover, and mutation. It predicts the merits of the candidate combination methods (for example, the smaller the predicted collaborative work time, the better), selects and retains the optimal candidate combination method, and obtains the candidate combination method. Based on each candidate combination method, it determines the specific plan for how the working equipment should cooperate to complete the work task, and obtains the candidate collaborative work method corresponding to each candidate combination method.

[0101] The technical solution provided in this embodiment optimizes the original combination method through a genetic algorithm to obtain a new alternative combination method. Based on the predicted operation time of the alternative combination method, a candidate collaborative operation method is obtained. This is beneficial to obtaining a better candidate collaborative operation method, thereby improving the accuracy of determining equipment collaborative operation information.

[0102] In one exemplary embodiment, based on the job information, a genetic iteration process is performed on the combination methods to obtain alternative combination methods, specifically including the following:

[0103] Define the constraints for collaborative sorting of objects to be sorted by logistics sorting equipment; the constraints include at least one of the following: first constraint, second constraint, third constraint, and fourth constraint; the first constraint is a sorting constraint between the type of operating equipment and the type of operating object; the second constraint is a sorting constraint between different types of operating objects and operating equipment; the third constraint is a time constraint between operating objects of the same type; and the fourth constraint is a priority constraint between different types of operating objects.

[0104] Based on the task information, constraints, and type of task object, the combination methods are subjected to genetic iteration to obtain alternative combination methods.

[0105] The work equipment belongs to a logistics sorting equipment, and the work object belongs to a to-be-sorted object.

[0106] The to-be-sorted object can be a workpiece, an express, or an express delivery.

[0107] The first constraint condition can be a constraint condition that only one type of work object is sorted by one work equipment at the same time.

[0108] The second constraint condition can be a constraint condition that each type of work object is sorted on only one work equipment at any time and cannot be interrupted and stopped in the middle.

[0109] The third constraint condition can be a constraint condition that the same type of work object has a sorting constraint, a high time limit is sorted first, a low time limit is sorted later, and different types of work objects have no sorting sequence constraint.

[0110] The fourth constraint condition can be a constraint condition that different types of work objects have the same priority and the same departure time.

[0111] Optionally, the terminal determines the constraint condition of the logistics sorting equipment for sorting the to-be-sorted object as the first constraint condition, the second constraint condition, the third constraint condition, and the fourth constraint condition; determines the first constraint condition as a constraint condition that only one type of work object is sorted by one work equipment at the same time; determines the second constraint condition as a constraint condition that each type of work object is sorted on only one work equipment at any time and cannot be interrupted and stopped in the middle; determines the third constraint condition as a constraint condition that the same type of work object has a sorting constraint, a high time limit is sorted first, a low time limit is sorted later, and different types of work objects have no sorting sequence constraint; determines the fourth constraint condition as a constraint condition that different types of work objects have the same priority and the same departure time; and performs genetic iteration processing on the combination mode according to the work information, the constraint condition, and the type of the work object to obtain a candidate combination mode.

[0112] The technical scheme provided in the embodiment determines the constraint condition of the logistics sorting equipment for sorting the to-be-sorted object, and performs genetic iteration processing on the combination mode in combination with the constraint condition, which is beneficial to obtaining a more accurate candidate combination mode, thereby being beneficial to subsequently improving the accuracy of the determined equipment cooperation work information.

[0113] In one of the example embodiments, in operation S104, the target device cooperative operation information is selected from the candidate device cooperative operation information according to the predicted cooperative operation result, and specifically includes the following contents: the predicted cooperative operation time corresponding to the candidate device cooperative operation information is determined according to the predicted cooperative operation result; and the candidate device cooperative operation information corresponding to the minimum predicted cooperative operation time is selected from the candidate device cooperative operation information as the target device cooperative operation information according to the predicted cooperative operation time corresponding to the candidate device cooperative operation information.

[0114] The predicted cooperative operation time corresponding to the candidate device cooperative operation information can be the predicted operation time required by the corresponding candidate device cooperative operation information.

[0115] Optionally, the terminal obtains the predicted cooperative operation time corresponding to each candidate device cooperative operation information from the predicted cooperative operation result; the candidate device cooperative operation information corresponding to the minimum predicted cooperative operation time is selected from the candidate device cooperative operation information according to the predicted cooperative operation time corresponding to the candidate device cooperative operation information; and the candidate device cooperative operation information corresponding to the minimum predicted cooperative operation time is taken as the target device cooperative operation information.

[0116] The technical scheme provided by the embodiment is advantageous in improving the efficiency and accuracy of determining the device cooperative operation information by selecting the candidate device cooperative operation information with the optimal effect from the generated multiple candidate schemes as the finally adopted target device cooperative operation information.

[0117] In one of the example embodiments, after the candidate device cooperative operation information corresponding to the minimum predicted cooperative operation time is selected from the candidate device cooperative operation information as the target device cooperative operation information according to the predicted cooperative operation time corresponding to the candidate device cooperative operation information, the following contents are further included: the current cooperative operation time corresponding to the current device cooperative operation information of the operation device is obtained; and the target device cooperative operation information is applied to the cooperative operation of the operation device in the case where the comparison value between the predicted cooperative operation time corresponding to the target device cooperative operation information and the current cooperative operation time is greater than a preset threshold value.

[0118] The current device cooperative operation information can be the device cooperative operation scheme currently adopted by the operation device.

[0119] The current cooperative operation time can be the actual time required by the operation device for cooperative operation according to the current device cooperative operation information.

[0120] The comparison value can be the difference value between the predicted cooperative operation time and the current cooperative operation time, and is used to reflect the size relationship between the two times.

[0121] The preset threshold value can be a set time difference value, used to determine the difference between the predicted cooperative operation time and the current cooperative operation time.

[0122] Optionally, the terminal obtains a current cooperative operation time corresponding to the current device cooperative operation information of the working device; determines whether a comparison value between a predicted cooperative operation time corresponding to the target device cooperative operation information and the current cooperative operation time is greater than a preset threshold value; in the case that the comparison value between the predicted cooperative operation time corresponding to the target device cooperative operation information and the current cooperative operation time is greater than the preset threshold value, it indicates that the target device cooperative operation information (target scheme) has obvious advantages compared with the current device cooperative operation information (current scheme), and the target device cooperative operation information is applied to the actual cooperative operation of the working device.

[0123] The technical scheme provided in the embodiment selects the target device cooperative operation information with the best effect, compares the effects of the target device cooperative operation information and the current device cooperative operation information, and if the effect of the target device cooperative operation information is obviously better than that of the current device cooperative operation information, the target device cooperative operation information is applied to the actual cooperative operation, thereby improving the efficiency of the cooperative operation.

[0124] The following describes a device information determination method provided in the present application with an embodiment. The embodiment takes the method applied to a terminal as an example, and the main operations include:

[0125] In the first step, the terminal obtains working information of a working device working on a working object.

[0126] In the second step, the terminal combines the working device and the working object according to the working information, and obtains a combination mode between the working device and the working object.

[0127] In the third step, the terminal performs genetic iteration processing on the combination mode according to the working information, and obtains a candidate combination mode; according to a predicted cooperative operation time corresponding to the candidate combination mode, the terminal screens the candidate combination mode from the candidate combination mode; according to the candidate combination mode, the terminal determines a candidate cooperative operation mode; and the candidate device cooperative operation information represents the candidate cooperative operation mode of the working device working on the working object.

[0128] In the fourth step, the terminal obtains device information of the working device; generates a virtual device model of the working device according to the device information; and performs fusion processing on the virtual device model, and obtains a digital twin model.

[0129] In the fifth step, the terminal performs simulation cooperative operation corresponding to the candidate device cooperative operation information through the digital twin model, obtains simulation cooperative operation results corresponding to the candidate device cooperative operation information, and predicts predicted cooperative operation results corresponding to the candidate device cooperative operation information according to the simulation cooperative operation results.

[0130] In the sixth step, the terminal determines predicted cooperative operation time corresponding to the candidate device cooperative operation information according to the predicted cooperative operation results, and selects candidate device cooperative operation information corresponding to the minimum predicted cooperative operation time from the candidate device cooperative operation information as target device cooperative operation information.

[0131] In the seventh step, the terminal obtains current cooperative operation time corresponding to current device cooperative operation information of the operation device, and applies the target device cooperative operation information to the cooperative operation of the operation device when the comparison value between the predicted cooperative operation time corresponding to the target device cooperative operation information and the current cooperative operation time is greater than a preset threshold.

[0132] The technical scheme provided in the embodiment determines candidate device cooperative operation information according to operation information of an operation device on an operation object, predicts predicted cooperative operation results corresponding to the candidate device cooperative operation information according to simulation cooperative operation corresponding to the candidate device cooperative operation information, and selects target device cooperative operation information according to the predicted cooperative operation results. In this way, when the device information is determined, different candidate cooperative operation modes are simulated to predict corresponding cooperative operation results, so that the target device cooperative operation information is selected, the best device cooperative operation information is automatically determined, and the efficiency and accuracy of determining the device cooperative operation information are improved.

[0133] The following describes a device information determination method provided in the present application by taking an application example. The application example takes the method applied to a terminal for example, and the main operations include:

[0134] In the first step, the terminal collects data.

[0135] For example, taking the small item area of the logistics transfer field as an example, the coordination strategy of all sorting equipment in the small item area is optimized. Among them, the transfer field is generally divided into unloading area, matrix area, small item area and loading area. In the data acquisition stage, first of all, the system data channel needs to be opened, and the package data and sorting process data are automatically acquired. Secondly, the device ontology data needs to be acquired by reading CAD (Computer Aided Design), design drawings, product manuals, manual measurement and other methods. For example, 1, collect the device mechanism data of the small item area, such as the package line, the package reversing port, the supply item table, the sorting machine, the sorting cabinet, the package line, etc., including the size, speed, texture, friction of the device, the upstream and downstream relationship of the device, etc.; 2, train the device data model of the small item area, such as the code scanning rate, personnel efficiency, package reversing speed, bag falling success rate, goods falling rate, backflow rate, etc. Distribution and learn the entire sorting process and logic.

[0136] Second step, the terminal establishes a digital twin system.

[0137] Among them, 1, for the devices with input and output data, a realistic single device model is established; 2, for the devices that cannot collect input and output data, they are merged as a whole as a black box with other single devices to optimize the realism; 3, all digital twin models are established, each device includes corresponding 3D (three-dimensional) model, mechanism model, data model, and the overall realism is optimized through end-to-end optimization. When the realism reaches 99%, it is considered that the digital twin model can reflect the real physical world.

[0138] Third step, the terminal solves by genetic algorithm.

[0139] For example, assuming that there are both bulk goods and special goods (such as five changes and two colds) in a shift. The small item area sorting equipment has a ring sorting machine, a straight line sorting machine and an intelligent sorting cabinet. The sorting equipment has the following constraints when cooperating with sorting: 1, the same device can only sort one type of express at the same time; 2, each type of express can only be sorted on one machine at a certain time, and cannot be interrupted and stopped; 3, the same type of express sorting has a precedence constraint, the time-effective one is sorted first, and the time-in-effective one is sorted later. Different types of express sorting have no precedence; 4, different types of express have the same priority and the same departure time. The device coordination problem that meets the above constraints can be converted into a flexible job shop scheduling problem, and a coding method based on process can be used. The express sorting according to the time effectiveness represents the process, the express type represents the workpiece, and the sorting time represents the processing time.

[0140] (1) Encoding and decoding:

[0141] Each chromosome is a sequence of n x m genes, where n represents the number of workpieces / jobs and m represents the number of machines / jobs, and is a permutation of all the genes. The feature is that the permutation of any gene string can represent a feasible schedule. For a scheduling problem of n workpieces on m machines, the chromosome is composed of n x m genes, and each workpiece number appears m times in the chromosome. From left to right, scanning the chromosome, for the kth(k represents the number) appearance of the workpiece number, it represents the kth process of the workpiece.

[0142] where J1, J2, J3, J4 can represent different types of workpieces, respectively. The problem can be encoded and decoded.

[0143] (2) Selection operation:

[0144] The best individual in the parent population is directly copied to the next generation in the optimal individual preservation mode.

[0145] (3) Cross operation:

[0146] The cross operator IPOX (process interval division cross operator) based on process encoding. The specific operation process of IPOX is as follows, where P1 and P2 are two parent chromosomes, and C1 and C2 are the offspring generated by crossing. The IPOX cross operation process is as follows: 1) randomly divide all workpieces into two sets G1 and G2. G1={1,3}, G2={2,4}; 2) copy the workpieces contained in G1 in P1 to C1, and copy the workpieces contained in G2 in P2 to C2, keeping the positions unchanged; 3) copy the workpieces contained in G1 in P1 to C2, and copy the workpieces contained in G2 in P2 to C1, keeping the order unchanged.

[0147] (4) Mutation operation:

[0148] Mutation based on machine allocation encoding. Since each process can be completed by multiple machines, two processes are randomly selected, and then a machine (with shorter processing time preferred) is selected from the set of machines that perform the two processes, and the selected machine number is placed in the corresponding gene string based on machine allocation encoding.

[0149] Step 4, the terminal verifies and iterates in the digital twin system:

[0150] For example, the terminal inputs the equipment coordination strategy obtained in the above manner into a highly realistic digital twin system, simulates the on-site operation process, and outputs a virtual result. Compared with the original result, if there is a significant improvement, the new strategy is applied to the transit site. If there is no improvement or the improvement is not significant, change the cross or mutation operation and iterate to seek the optimal.

[0151] The technical scheme provided by the application example is that, through the digital twinning technology and the operation optimization algorithm, the output device cooperation strategy is verified in the digital twinning system, the optimization algorithm is adjusted again according to the feedback result, and the optimal result is output after multiple iterations; here, the digital twinning technology can improve the upper limit of the algorithm optimization, find the optimal device cooperation strategy at low cost, quickly and efficiently, save manpower and material resources, thereby reducing the operating cost; through the cooperative optimization, the various sorting devices can better complete the sorting task on the basis of mutual cooperation, and waste or goods falling caused by independent operation of a certain link is avoided; the efficiency and accuracy of determining the device cooperation operation information are improved.

[0152] It should be understood that, although each operation in the flowchart involved in each embodiment as described above is shown in sequence according to the arrow, these operations are not necessarily executed in sequence according to the arrow. Unless otherwise explicitly stated herein, there is no strict sequence limitation for the execution of these operations, and these operations can be executed in other sequences. Moreover, at least part of the operations in the flowchart involved in each embodiment as described above can include multiple operations or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these operations or stages is not necessarily sequential, but can be executed alternately or alternately with at least part of other operations or stages in other operations.

[0153] Based on the same inventive concept, the embodiments of the present application also provide a device information determination apparatus for implementing the device information determination method as described above. The implementation scheme for solving the problem provided by the apparatus is similar to the implementation scheme described in the above method, so the specific limitations in one or more device information determination apparatus embodiments provided below can refer to the limitations of the device information determination method in the above text, which will not be repeated here.

[0154] In one exemplary embodiment, as shown in FIG. 6, a device information determination apparatus is provided, which can include:

[0155] The information acquisition module 601 is configured to acquire the operation information of the operation device on the operation object;

[0156] The information determination module 602 is configured to determine candidate device cooperation operation information according to the operation information; the candidate device cooperation operation information represents a candidate cooperation operation mode of the operation device on the operation object;

[0157] The result prediction module 603 is configured to predict a predicted cooperation operation result corresponding to the candidate device cooperation operation information according to a simulated cooperation operation corresponding to the candidate device cooperation operation information;

[0158] The information screening module 604 is configured to screen target device collaborative operation information from the candidate device collaborative operation information according to the predicted collaborative operation result.

[0159] In one of the example embodiments, the result prediction module 603 is further configured to perform simulated collaborative operation corresponding to the candidate device collaborative operation information by the digital twin model to obtain a simulated collaborative operation result corresponding to the candidate device collaborative operation information, and predict the predicted collaborative operation result corresponding to the candidate device collaborative operation information according to the simulated collaborative operation result.

[0160] In one of the example embodiments, the device further comprises: the operation device belongs to a logistics sorting device; the logistics sorting device comprises at least one of a ring sorting machine, a straight-line sorting machine, and an intelligent sorting cabinet; the model generation module is configured to obtain logistics sorting device information of the operation device, and generate a virtual logistics sorting device model of the operation device according to the logistics sorting device information; and the virtual logistics sorting device model is fused to obtain the digital twin model.

[0161] In one of the example embodiments, the information determination module 602 is further configured to combine the operation device and the operation object according to the operation information to obtain a combination mode between the operation device and the operation object, and determine a candidate collaborative operation mode of the operation device for collaborative operation on the operation object according to the combination mode as the candidate device collaborative operation information.

[0162] In one of the example embodiments, the information determination module 602 is further configured to perform genetic iteration processing on the combination mode according to the operation information to obtain an alternative combination mode, screen the candidate combination mode from the alternative combination mode according to a predicted collaborative operation time corresponding to the alternative combination mode, and determine the candidate collaborative operation mode according to the candidate combination mode.

[0163] In one of the example embodiments, the operation device belongs to a logistics sorting device, and the operation object belongs to a to-be-sorted object; the information determination module 602 is further configured to determine a constraint condition of the logistics sorting device for collaborative sorting of the to-be-sorted object; the constraint condition comprises at least one of a first constraint condition, a second constraint condition, a third constraint condition, and a fourth constraint condition; the first constraint condition is a sorting constraint condition between types of the operation device and the operation object; the second constraint condition is a sorting constraint condition between different types of operation objects and the operation device; the third constraint condition is a time limit constraint condition between operation objects of the same type; the fourth constraint condition is a priority constraint condition between different types of operation objects; and the genetic iteration processing is performed on the combination mode according to the operation information, the constraint condition, and a type of the operation object to obtain the alternative combination mode.

[0164] In one of the example embodiments, the information screening module 604 is further configured to determine a predicted cooperative operation time corresponding to the candidate device cooperative operation information according to the predicted cooperative operation result; and screen the candidate device cooperative operation information corresponding to the smallest predicted cooperative operation time from the candidate device cooperative operation information as the target device cooperative operation information according to the predicted cooperative operation time corresponding to the candidate device cooperative operation information.

[0165] In one of the example embodiments, the device further comprises an information application module configured to acquire a current cooperative operation time corresponding to the current device cooperative operation information of the operation device; and apply the target device cooperative operation information to the cooperative operation of the operation device in a case where a comparison value between the predicted cooperative operation time corresponding to the target device cooperative operation information and the current cooperative operation time is greater than a preset threshold value.

[0166] The modules in the device information determination device described above can be realized by software, hardware, and combinations thereof, in whole or in part. The modules described above can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the modules described above.

[0167] In one of the example embodiments, a computer device is provided, which can be a terminal, and the internal structure diagram thereof can be as shown in FIG. 7. The computer device comprises a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The input / output interface of the computer device is configured to exchange information between the processor and external devices. The communication interface of the computer device is configured to perform wired or wireless communication with external terminals, and the wireless communication can be achieved through WIFI, mobile cellular network, NFC (near field communication), or other technologies. The computer program is executed by the processor to implement a device information determination method. The display unit of the computer device is configured to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer overlaid on the display screen, or can be a key, a trackball, or a touchpad arranged on the shell of the computer device, or can be an external keyboard, a touchpad, a mouse, or the like.

[0168] Those skilled in the art can understand that the structure shown in FIG. 7 is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. The specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0169] In an exemplary embodiment, a computer device is also provided, including a memory and a processor, the memory storing a computer program, and the processor implementing the operations in the above method embodiments when executing the computer program.

[0170] In an exemplary embodiment, a computer readable storage medium is provided, storing a computer program, and the computer program implementing the operations in the above method embodiments when executed by a processor.

[0171] In an exemplary embodiment, a computer program product is provided, including a computer program, and the computer program implementing the operations in the above method embodiments when executed by a processor.

[0172] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (Read-Only Memory, ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric memory (Ferroelectric Random Access Memory, FRAM), phase change memory (Phase Change Memory, PCM), graphene memory, etc. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0173] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present application.

[0174] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of protection of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A device information determination method, comprising: obtaining job information of a job device performing a job on a job object; determining candidate device cooperative job information according to the job information, the candidate device cooperative job information indicating a candidate cooperative job mode of the job device performing a cooperative job on the job object; predicting a predicted cooperative job result corresponding to the candidate device cooperative job information according to a simulated cooperative job corresponding to the candidate device cooperative job information; and selecting target device cooperative job information from the candidate device cooperative job information according to the predicted cooperative job result. The predicting a predicted cooperative job result corresponding to the candidate device cooperative job information according to a simulated cooperative job corresponding to the candidate device cooperative job information comprises: performing the simulated cooperative job corresponding to the candidate device cooperative job information by a digital twin model to obtain a simulated cooperative job result corresponding to the candidate device cooperative job information; and 2. The method of claim 1, wherein, predicting the predicted cooperative job result corresponding to the candidate device cooperative job information according to the simulated cooperative job result. The job device belongs to a logistics sorting device; the logistics sorting device comprises at least one of a ring sorting machine, a straight line sorting machine, and an intelligent sorting cabinet. The method further comprises:

3. The method of claim 2, wherein, obtaining logistics sorting device information of the job device; generating a virtual logistics sorting device model of the job device according to the logistics sorting device information; and performing fusion processing on the virtual logistics sorting device model to obtain the digital twin model. The determining candidate device cooperative job information according to the job information comprises: performing combination processing on the job device and the job object according to the job information to obtain a combination mode between the job device and the job object; and 4. The method of claim 1, wherein, determining the candidate cooperative job mode of the job device performing a cooperative job on the job object according to the combination mode as the candidate device cooperative job information. The determining the candidate cooperative job mode of the job device performing a cooperative job on the job object according to the combination mode comprises: performing genetic iteration processing on the combination mode according to the job information to obtain a candidate combination mode; 5. The method of claim 4, wherein, selecting the candidate combination mode from the candidate combination mode according to a predicted cooperative job time corresponding to the candidate combination mode; and determining the candidate cooperative job mode according to the candidate combination mode. The job device belongs to a logistics sorting device; the job object belongs to a to-be-sorted object. The performing genetic iteration processing on the combination mode according to the job information to obtain a candidate combination mode comprises:

6. The method of claim 5, wherein, ​ ​ determine constraint conditions of the logistics sorting device for sorting the to-be-sorted objects; the constraint conditions include at least one of a first constraint condition, a second constraint condition, a third constraint condition, and a fourth constraint condition; the first constraint condition is a sorting constraint condition between the work device and the type of the work object; the second constraint condition is a sorting constraint condition between different types of work objects and the work device; the third constraint condition is a time constraint condition between work objects of the same type; and the fourth constraint condition is a priority constraint condition between work objects of different types; and perform genetic iteration processing on the combination mode according to the work information, the constraint conditions, and the type of the work object, to obtain the candidate combination mode.

7. The method of claim 1, wherein, The target device collaborative work information is filtered from the candidate device collaborative work information according to the predicted collaborative work result, and the target device collaborative work information includes: The predicted collaborative work time corresponding to the candidate device collaborative work information is determined according to the predicted collaborative work result. The candidate device collaborative work information corresponding to the minimum predicted collaborative work time is filtered from the candidate device collaborative work information as the target device collaborative work information according to the predicted collaborative work time corresponding to the candidate device collaborative work information.

8. The method of claim 7, wherein, After the candidate device collaborative work information corresponding to the minimum predicted collaborative work time is filtered from the candidate device collaborative work information as the target device collaborative work information according to the predicted collaborative work time corresponding to the candidate device collaborative work information, the method further includes: The current collaborative work time corresponding to the current device collaborative work information of the work device is obtained. In a case where a comparison value between the predicted collaborative work time corresponding to the target device collaborative work information and the current collaborative work time is greater than a preset threshold, the target device collaborative work information is applied to collaborative work of the work device.

9. A device information determination apparatus, comprising: an information acquisition module configured to acquire work information of a work device performing work on a work object; an information determination module configured to determine candidate device collaborative work information according to the work information; the candidate device collaborative work information representing a candidate collaborative work mode of the work device performing collaborative work on the work object; a result prediction module configured to predict a predicted collaborative work result corresponding to the candidate device collaborative work information according to simulation collaborative work corresponding to the candidate device collaborative work information; an information filtering module configured to filter target device collaborative work information from the candidate device collaborative work information according to the predicted collaborative work result.

10. The apparatus of claim 9, wherein, The result prediction module is further configured to perform simulation collaborative work corresponding to the candidate device collaborative work information by a digital twin model to obtain a simulation collaborative work result corresponding to the candidate device collaborative work information, and predict the predicted collaborative work result corresponding to the candidate device collaborative work information according to the simulation collaborative work result.

11. The apparatus of claim 10, wherein, The work device belongs to a logistics sorting device; the logistics sorting device includes at least one of a ring sorting machine, a straight-line sorting machine, and an intelligent sorting cabinet. The device further comprises: The model generation module is configured to acquire logistics sorting device information of the job equipment; generate a virtual logistics sorting device model of the job equipment according to the logistics sorting device information; and perform fusion processing on the virtual logistics sorting device model to obtain a digital twin model.

12. The apparatus of claim 9, wherein, The information determination module is further configured to combine the job equipment and the job object according to the job information to obtain a combination mode between the job equipment and the job object; and determine a candidate collaborative job mode of the job equipment for the job object according to the combination mode as the candidate equipment collaborative job information.

13. The apparatus of claim 12, wherein, The information determination module is further configured to perform genetic iteration processing on the combination mode according to the job information to obtain a candidate combination mode; filter out the candidate combination mode from the candidate combination mode according to a predicted collaborative job time corresponding to the candidate combination mode; and determine the candidate collaborative job mode according to the candidate combination mode.

14. The apparatus of claim 13, wherein, The job equipment belongs to a logistics sorting device, and the job object belongs to a to-be-sorted object. The information determination module is further configured to determine a constraint condition of the logistics sorting device for collaboratively sorting the to-be-sorted object; the constraint condition comprises at least one of a first constraint condition, a second constraint condition, a third constraint condition, and a fourth constraint condition; the first constraint condition is a sorting constraint condition between types of the job equipment and the job object; the second constraint condition is a sorting constraint condition between different types of the job object and the job equipment; the third constraint condition is a time limit constraint condition between the same types of the job object; and the fourth constraint condition is a priority constraint condition between different types of the job object; and perform genetic iteration processing on the combination mode according to the job information, the constraint condition, and the type of the job object to obtain a candidate combination mode.

15. The apparatus of claim 9, wherein, The information filtering module is further configured to determine a predicted collaborative job time corresponding to the candidate equipment collaborative job information according to the predicted collaborative job result; According to the predicted collaborative job time corresponding to the candidate equipment collaborative job information, filter out, from the candidate equipment collaborative job information, candidate equipment collaborative job information corresponding to the smallest predicted collaborative job time as target equipment collaborative job information.

16. The apparatus of claim 15, wherein, The device further comprises an information application module configured to acquire a current collaborative job time corresponding to current equipment collaborative job information of the job equipment; and in a case where a comparison value between the predicted collaborative job time corresponding to the target equipment collaborative job information and the current collaborative job time is greater than a preset threshold value, apply the target equipment collaborative job information to collaborative job of the job equipment.

17. A computer device comprising a memory and a processor, the memory storing a computer program, wherein, The processor executes the computer program to implement the operations of the method in any one of claims 1 to 8.

18. A computer readable storage medium having stored thereon a computer program, wherein, The computer program is executed by the processor to implement the operations of the method in any one of claims 1 to 8.

19. A computer program product comprising a computer program, wherein, The computer program is executed by the processor to implement the operations of the method in any one of claims 1 to 8. The computer program is executed by the processor to implement the operations of the method in any one of claims 1 to 8.

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