Task work order processing method, device, equipment and storage medium
1. A task work order processing method is characterized by comprising the following steps:
acquiring a task work order and a corresponding operator on duty;
distributing the task work order to the on-duty personnel so that the on-duty personnel can start to execute tasks based on the task work order;
and acquiring task completion information uploaded by the on-duty personnel, and updating the task state of the task work order to be completed based on the task completion information.
2. The task work order processing method of claim 1,
the step of obtaining the task work order and the corresponding staff on duty comprises the following steps:
acquiring the equipment state of the equipment according to a preset period, wherein the equipment state comprises an equipment abnormal state and/or an equipment updating state;
acquiring the processing consumption material of the equipment by using the equipment state;
generating the task work order based on the processing consumption materials of the equipment;
and allocating the current on-duty personnel according to the task work order.
3. The task work order processing method of claim 1,
the step of obtaining the task work order and the corresponding staff on duty comprises the following steps:
monitoring whether equipment generates a preset equipment state or not, wherein the equipment state comprises an equipment abnormal state and/or an equipment updating state;
if so, acquiring the processing consumption materials of the equipment by using the equipment state;
generating the task work order based on the processing consumption materials of the equipment;
and allocating the current on-duty personnel according to the task work order.
4. The task work order processing method of claim 1,
the step of acquiring the task completion information uploaded by the on-duty personnel and updating the task state of the task work order to be completed based on the task completion information comprises the following steps:
acquiring task completion information uploaded by the on-duty personnel, and updating the task state of the task work order into a to-be-checked state based on the task completion information;
acquiring acceptance opinion information of an acceptance person;
and updating the task state of the task work order to be completed under the condition that the acceptance opinion information is that acceptance passes.
5. The task work order processing method of claim 4,
after the acceptance opinion information of the acceptance personnel is obtained, the task work order processing method further comprises the following steps:
under the condition that the acceptance opinion information is that acceptance fails, updating the task state of the task work order into acceptance fails;
and sending the acceptance opinion information to the on-duty personnel so that the on-duty personnel can execute the task of the task work order again.
6. The task work order processing method of claim 1,
after the task work order is distributed to the on-duty personnel so that the on-duty personnel starts to execute the task based on the task work order, the task work order processing method further comprises the following steps:
creating an execution timer, and updating the task state of the task work order to start execution;
calculating the execution duration of the task work order through the execution timer;
judging whether the execution time length exceeds an execution time length threshold value preset by the task work order;
and if so, updating the task state of the task work order to be overtime.
7. The task work order processing method of claim 1,
after the task work order is distributed to the on-duty personnel so that the on-duty personnel starts to execute the task based on the task work order, the task work order processing method further comprises the following steps:
acquiring application delay information uploaded by the attendant;
checking whether the application delay information is legal or not;
and if so, adjusting the preset execution time threshold of the task work order based on the application delay information, and updating the task state of the task work order into a delay state.
8. The task work order processing method of claim 7,
the step of checking whether the application postponing information is legal further comprises:
under the condition that the application delay information is checked to be illegal, judging whether the execution time length exceeds an execution time length threshold value preset by the task work order;
and if so, updating the task state of the task work order to be overtime.
9. A task work order processing apparatus, comprising:
the system comprises an acquisition module, a task work order acquisition module and a task completion information acquisition module, wherein the acquisition module is used for acquiring a task work order and a corresponding person on duty and is used for acquiring task completion information uploaded by the person on duty;
the distribution module is used for distributing the task work order to the on-duty personnel so as to enable the on-duty personnel to start to execute tasks based on the task work order;
and the updating module is used for updating the task state of the task work order to be completed based on the task completion information.
10. A terminal device, comprising a memory and a processor, wherein the memory is coupled to the processor;
wherein the memory is used for storing program data, and the processor is used for executing the program data to realize the task work order processing method as claimed in any one of claims 1-8.
11. A computer storage medium for storing program data for implementing a method of task work order processing according to any one of claims 1 to 8 when executed by a processor.
Background
In daily operation and maintenance work of equipment, work tasks need to be manually distributed to corresponding operators on duty, the operators on duty can complete the tasks according to the tasks distributed in the task work order and inform relevant post personnel of the completed progress for subsequent processing, but the problems that the work efficiency is low and the like due to the fact that the tasks are too many and various conditions are difficult to master can occur in the whole working process.
Disclosure of Invention
In order to solve the above problems in the prior art, the present application provides a method, an apparatus, a device and a storage medium for processing a task work order.
In order to solve the above problem, an embodiment of the present application provides a task work order processing method, where the task work order processing method includes:
acquiring a task work order and a corresponding operator on duty;
distributing the task work order to the on-duty personnel so that the on-duty personnel can start to execute tasks based on the task work order;
and acquiring task completion information uploaded by the on-duty personnel, and updating the task state of the task work order to be completed based on the task completion information.
In order to solve the above technical problem, the present application provides a task work order processing apparatus, the apparatus including:
the system comprises an acquisition module, a task work order acquisition module and a task completion information acquisition module, wherein the acquisition module is used for acquiring a task work order and a corresponding person on duty and is used for acquiring task completion information uploaded by the person on duty;
the distribution module is used for distributing the task work order to the on-duty personnel so as to enable the on-duty personnel to start to execute tasks based on the task work order;
and the updating module is used for updating the task state of the task work order to be completed based on the task completion information.
In order to solve the above technical problem, the present application provides a terminal device, where the terminal device includes a memory and a processor coupled to the memory;
the memory is used for storing program data, and the processor is used for executing the program data to realize the task work order processing method.
In order to solve the technical problem, the present application further provides a computer storage medium for storing program data, wherein the program data is used to implement the above task order processing method when being executed by a processor.
The task work order processing method provided by the application comprises the following steps: the method comprises the steps of obtaining a task work order and corresponding on-duty personnel, distributing the task work order to the on-duty personnel, enabling the on-duty personnel to start executing tasks based on the task work order, obtaining task completion information uploaded by the on-duty personnel, and updating the task state of the task work order to be completed based on the task completion information. By the aid of the method, the task work order processing method can intelligently allocate the task work orders to corresponding operators on duty, quality of task allocation is guaranteed, convenience and rapidness are achieved, and states of the task work orders can be updated according to task completion information uploaded by the operators on duty, so that task conditions can be known in real time, work is simple and clear, labor cost is reduced, and work efficiency is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic flow chart diagram illustrating an embodiment of a method for processing a job order according to the present application;
FIG. 2 is a flowchart illustrating an embodiment of step S11 of the task work order processing method shown in FIG. 1;
FIG. 3 is a schematic flow chart diagram illustrating another embodiment of step S11 of the task work order processing method shown in FIG. 1;
FIG. 4 is a schematic flow chart diagram illustrating one embodiment of the method of task work order processing shown in FIG. 1 after step S12;
FIG. 5 is a schematic flow chart diagram of another embodiment of the task work order processing method shown in FIG. 1 after step S12;
FIG. 6 is a flowchart illustrating an embodiment of step S13 of the task work order processing method shown in FIG. 1;
FIG. 7 is a schematic structural diagram of an embodiment of a task order processing device provided in the present application;
fig. 8 is a schematic structural diagram of an embodiment of a terminal device provided in the present application;
FIG. 9 is a schematic structural diagram of an embodiment of a computer storage medium provided in the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be noted that the following examples are only illustrative of the present application, and do not limit the scope of the present application. Likewise, the following examples are only some examples and not all examples of the present application, and all other examples obtained by a person of ordinary skill in the art without any inventive step are within the scope of the present application.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Throughout the description of the present application, it is intended that the terms "mounted," "disposed," "connected," and "connected" be construed broadly and encompass, for example, fixed connections, removable connections, or integral connections unless expressly stated or limited otherwise; can be mechanically connected or electrically connected; they may be directly connected or may be connected via an intermediate medium. To one of ordinary skill in the art, the foregoing may be combined in any suitable manner with the specific meaning ascribed to the present application.
The present application provides a method for processing a task work order, and specifically refers to fig. 1, where fig. 1 is a schematic flow diagram of an embodiment of the method for processing a task work order provided by the present application. The task work order processing method in this embodiment may be applied to a terminal device, and the terminal device in this embodiment may be a server, may also be a mobile device, and may also be a system in which the server and the mobile device cooperate with each other. Accordingly, each part, such as each unit, sub-unit, module, and sub-module, included in the mobile device may be all disposed in the server, may also be all disposed in the mobile device, and may also be disposed in the server and the mobile device, respectively.
Further, the server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as a plurality of software or software modules, for example, software or software modules for providing distributed servers, or as a single software or software module, and is not limited herein.
The task work order processing method of the embodiment specifically comprises the following steps:
and step S11, acquiring a task work order and a corresponding attendant.
In this embodiment, the task work order may be automatically generated according to the configured rule, and the configured rule may be manually set, for example, the configured rule is completed through a certain algorithm, then the information of the task work order to be generated is obtained, and the task work order is generated based on the task work order information. The information of the task work order may include keywords of content in the task work order, and the like.
The task work order may be a task order in which the content of work to be completed is recorded during the operation and maintenance work of the daily equipment. For example, the task work order may record that a person on duty is required to complete a certain job within a time limit and/or at a specified work location. The content recorded in the job order may be set according to actual conditions, and the present application is not limited herein.
The attendant may be a worker who needs to complete a task described in the task work order. In the embodiment of the application, the on-duty personnel can be recorded in the task work order simultaneously with the tasks needing to be completed. The tasks in the task work order correspond to the operators on duty, so that the corresponding tasks to be completed by the operators on duty can be defined.
Step S12: and distributing the task work order to the on-duty personnel so that the on-duty personnel starts to execute the task based on the task work order.
In this embodiment, one job order may correspond to one person on duty. And distributing the acquired task work order to corresponding on-duty personnel, wherein the on-duty personnel can start to execute the task based on the content recorded in the task work order.
In another embodiment, one task work order may correspond to a plurality of operators on duty, and the obtained task work order is distributed to the corresponding plurality of operators on duty. The task work order can record a plurality of tasks to be completed, and each task corresponds to one or more operators on duty, so that the labor division of the operators on duty is more clear, and the work efficiency is improved.
Specifically, the terminal device may transmit the task work order to the information terminal of the attendant, and the information terminal of the attendant may prompt the attendant to complete the content recorded in the task work order on time after receiving the task work order.
Step S13: and acquiring task completion information uploaded by the on-duty personnel, and updating the task state of the task work order to be completed based on the task completion information.
After the assigned task is determined, the person on duty can complete the task indicated by the task work order, and the completed information is uploaded to the terminal equipment through the information terminal after the task is completed, so that the state of the task work order is updated to be completed.
In one embodiment, the tasks in the task work order may be segmented, and after the person on duty completes a certain segment of tasks in the task work order, the completed part of information may be uploaded, so as to update the task state of the certain segment of tasks in the task work order to be completed.
For example: the total task recorded in the task order is a, wherein the total task may be divided into different branch tasks, such as a first branch task a1, a second branch task a2, a third branch task A3, and the like. When the attendant completes the first branch task A1, the status of the first branch task A1 of the task work order may be updated to completed.
In this embodiment, the task work order processing method includes acquiring a task work order and a corresponding attendant, allocating the task work order to the attendant to enable the attendant to start executing a task based on the task work order, acquiring task completion information uploaded by the attendant, and updating a task state of the task work order to be completed based on the task completion information. By the aid of the method, the task work order processing method can intelligently allocate the task work orders to corresponding operators on duty, quality of task allocation is guaranteed, and convenience and rapidness are achieved. And the state of the task work order can be updated according to the task completion information uploaded by the on-duty personnel, so that the task condition can be known in real time, the work becomes simple and clear, the labor cost is reduced, and the work efficiency is improved.
Alternatively, referring to fig. 2, fig. 2 is a flowchart illustrating an embodiment of step S11 in the task work order processing method shown in fig. 1.
Specifically, the method may include the following steps S111 to S114:
step S111: and acquiring the equipment state of the equipment according to a preset period, wherein the equipment state comprises an equipment abnormal state and/or an equipment updating state.
The preset period may be set according to different application scenarios, for example, the preset period may be one hour or thirty minutes. The state information of the device may be acquired one or more times when the condition of the preset period is satisfied. The apparatus may be an apparatus for producing products or the like, i.e. an apparatus for producing different products from different materials.
The abnormal state is a state that the amount of the consumed materials stored in the equipment is smaller than the preset consumed materials, or the type of the consumed materials required by the equipment is different from the preset consumed materials and needs to be replaced in time.
The equipment updating state is information of the state of the residual materials or the consumed materials in the equipment after the equipment finishes working within a certain period of time, or information of the amount of the materials consumed by the equipment finishing working within a certain period of time.
Step S112: and acquiring the processing consumption material of the equipment by using the equipment state.
After the state information of the equipment is acquired, the consumed materials required by the equipment to complete the work can be acquired according to the state of the equipment. For example, the process consumables of a plant may be derived based on the relationship between the consumables actually required by the plant to perform a job and the remaining supplies in the plant.
Step S113: and generating a task work order based on the processing consumption materials of the equipment.
After determining the processing consumable materials of the equipment, a task work order may be generated based on the processing consumable materials of the equipment. For example, when the consumable material needs to be replaced, it can be specified in the generated task order that: the first consumable material is replaced with a second consumable material, etc. When the consumable material needs to be added, the method can be specified in the generated task work order: a preset amount of consumable material is added.
Step S114: and allocating the current on-duty personnel according to the task work order.
The content of step S114 is the same as that of step S13, and is not described herein again.
Referring to fig. 3, fig. 3 is a schematic flowchart of another embodiment of step S11 in the task work order processing method shown in fig. 1. The present application may also adopt the embodiment shown in fig. 3 to implement step S11, specifically including step S211 to step S214:
step S211: and monitoring whether the equipment generates a preset equipment state, wherein the equipment state comprises an equipment abnormal state and/or an equipment updating state.
In this embodiment, whether the device generates a preset device state may be monitored in real time. Or periodically monitoring whether the device generates a preset device state.
The abnormal state is a state that the amount of the consumed materials stored in the equipment is smaller than the preset consumed materials, or the type of the consumed materials required by the equipment is different from the preset consumed materials and needs to be replaced in time.
The equipment updating state is the state information of the residual materials or the consumed materials in the equipment after the equipment finishes working within a certain period of time. Or the amount of material consumed by the equipment to complete work within a certain period of time.
Step S212: and if so, acquiring the processing consumption materials of the equipment by using the equipment state.
And if the monitoring equipment generates a preset equipment state, acquiring the consumed materials required by the equipment by using the equipment state. For example, the process consumables of a plant may be derived based on the relationship between the consumables actually required by the plant to perform a job and the remaining supplies in the plant.
Step S213: and generating a task work order based on the processing consumption materials of the equipment.
After determining the processing consumable materials of the equipment, a task work order may be generated based on the processing consumable materials of the equipment. For example, when the consumable material needs to be replaced, it can be specified in the generated task order that: the first consumable material is replaced with a second consumable material, etc. When the consumable material needs to be added, the method can be specified in the generated task work order: a preset amount of consumable material is added.
Step S214: and allocating the current on-duty personnel according to the task work order.
The content of step S214 is the same as that of step S13, and is not described herein again.
Referring to fig. 4, fig. 4 is a flowchart illustrating an embodiment of the task work order processing method shown in fig. 1 after step S12. In an embodiment, the embodiment shown in fig. 4 may be adopted to present the steps after step S12, and specifically include step S141 to step S144:
step S141: and creating an execution timer, and updating the task state of the task work order to start execution.
In the present embodiment, the execution timer may be generated by code. After the task work order is distributed to the on-duty personnel, the on-duty personnel can complete the corresponding task based on the task work order, at the moment, the task state of the task work order can be updated to be the starting execution, and meanwhile, the execution timer is started.
Step S142: and calculating the execution time length of the task work order through the execution timer.
The execution time of the task work order can be calculated in real time through the execution timer, namely, the time spent from the update of the task state of the task work order to the start of execution to the current stage is calculated in real time.
Step S143: and judging whether the execution time length exceeds an execution time length threshold value preset by the task work order.
In one embodiment, the execution duration threshold for the task work order may be set while the task work order is generated. The execution duration threshold may be a duration expected to be required to complete the task work order. The preset execution time threshold is set according to an actual task, and the application is not limited herein.
Step S144: and if so, updating the task state of the task work order to be overtime.
When the task in the executed task work order exceeds the preset execution time threshold of the task work order, the on-duty personnel cannot complete the task within the specified time. At this time, the status of the task work order may be updated to a time-out status to remind the attendant.
Referring to fig. 5, fig. 5 is a schematic flow chart of another embodiment after step S12 in the task work order processing method shown in fig. 1. In another implementation, the embodiment shown in fig. 5 may also be used to present the steps after step S12, specifically including steps S241 to S243:
step S144: and obtaining the application delay information uploaded by the operator on duty.
In this embodiment, the time length required for completing the task work order may be set at the same time when the task work order is generated, wherein the preset execution time length threshold may be set according to an actual task. After the person on duty checks the content on the task work order, whether delay is required to be applied or not can be judged according to actual conditions. For example: and the attendant can upload the delay information to apply for delay when judging that the task in the task work order is difficult to complete within the preset execution time threshold. At the moment, the terminal can acquire the information of application delay uploaded by the attendant.
Step S144: and checking whether the application delay information is legal or not.
After receiving the information of application delay uploaded by the attendant, the attendant can check whether the information of application delay is legal or not. For example, it is checked whether the application delay information does not satisfy the application delay condition, the application delay information is incorrect, or the task described in the task order is difficult to be completed within a predetermined time.
Step S144: and if so, adjusting a preset execution time threshold of the task work order based on the application delay information, and updating the task state of the task work order into a delay state.
When the application delay information is judged to be in a legal state, the preset execution duration threshold value of the task work order can be adjusted based on the application delay information. For example, adjusting the preset execution time threshold of the task work order may include: and increasing an execution time threshold required for completing the task, and updating the task state of the task work order into a postponed state.
In an embodiment, under the condition that the checking application delay information is illegal, whether the execution time length exceeds an execution time length threshold value preset by the task work order is directly judged. And if so, updating the task state of the task work order to be overtime.
And after the delay information is checked, when the application delay information is judged to be in an illegal state, further judging whether the time length of executing the task of the task work order exceeds the execution time length threshold value set by the task work order. And if so, updating the task state of the task work order to be overtime.
Alternatively, referring to fig. 6, fig. 6 is a flowchart illustrating an embodiment of step S13 in the task work order processing method shown in fig. 1. The present application may also adopt the embodiment shown in fig. 6 to implement step S13, specifically including step S131 to step S133:
step S131: and acquiring task completion information uploaded by the on-duty personnel, and updating the task state of the task work order into a to-be-checked state based on the task completion information.
After the task is completed, the on-duty worker can upload the information of the completed task, and at this time, the on-duty worker can be understood to have completed the task required to be completed in the task work order. The terminal can update the state of the task work order to be a to-be-checked state based on the uploaded information. And when the task state is updated to be the state to be checked, checking and accepting information can be simultaneously prompted to the checking and accepting personnel.
Step S132: and acquiring the acceptance opinion information of the acceptance personnel.
The acceptance personnel may be quality auditors for the task. The checking and accepting personnel can check the task completion condition based on the task completion information uploaded by the on-duty personnel and upload the proposed checking and accepting opinions. The terminal can obtain the acceptance opinion information uploaded by the acceptance personnel.
And under the condition that the acceptance opinion information is that the acceptance fails, updating the task state of the task work order into the acceptance fails, and sending the acceptance opinion information to the on-duty personnel so that the on-duty personnel can execute the task of the task work order again.
Step S133: and updating the task state of the task work order to be completed under the condition that the acceptance opinion information is that the acceptance passes.
When the acceptance opinion information is acceptance, the task recorded by the task work order can be determined to be completed, and the state of the task work order can be updated to be completed.
Therefore, compared with the prior art, the task work order processing method can intelligently allocate the task work orders to corresponding operators on duty, ensures the quality of task allocation, and is convenient and quick. And the state of the task work order can be updated according to the task completion information uploaded by the on-duty personnel, so that the task condition can be known in real time, the work becomes simple and clear, the labor cost is reduced, and the work efficiency is improved.
In order to implement the task work order processing method of the above embodiment, the present application provides a task work order processing apparatus 100. Referring to fig. 7, fig. 7 is a schematic structural diagram of an embodiment of a task work order processing apparatus 100 provided in the present application.
Specifically, the task work order processing apparatus 100 may include: an acquisition module 11, an allocation module 12 and an update module 13.
The obtaining module 11 may be configured to obtain a task work order and a corresponding person on duty, and obtain task completion information uploaded by the person on duty.
And the allocation module 12 can be used for allocating the task work order to the attendant so that the attendant starts to execute the task based on the task work order.
The updating module 13 may be configured to update the task status of the task order to be completed based on the task completion information.
In an embodiment of the present application, each module in the task work order processing apparatus 100 shown in fig. 7 may be respectively or entirely combined into one or several units to form the unit, or some unit(s) may be further split into multiple sub-units with smaller functions, so that the same operation may be implemented without affecting implementation of technical effects of the embodiment of the present application. The modules are divided based on logic functions, and in practical application, the functions of one module can be realized by a plurality of units, or the functions of a plurality of modules can be realized by one unit. In other embodiments of the present application, the task work order processing apparatus 100 may also include other units, and in practical applications, these functions may also be implemented by being assisted by other units, and may be implemented by cooperation of a plurality of units.
The method can be applied to terminal equipment to realize task work order processing. Referring to fig. 8 in detail, fig. 8 is a schematic structural diagram of an embodiment of a terminal device in the present application, where the terminal device 200 in the present embodiment includes a processor 21 and a memory 22, and the memory 22 is coupled to the processor 21. The memory 22 is used for storing program data, and the processor 21 is used for executing the program data to implement the task work order processing method.
The processor 21 may be an integrated circuit chip having signal processing capability. The processor 21 may also be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Referring to fig. 9, fig. 9 is a schematic structural diagram of an embodiment of a computer storage medium according to the present application, where the computer storage medium 300 of the present embodiment includes a computer program 31 that can be executed to implement the task work order processing method.
The computer storage medium 300 of this embodiment may be a medium that can store program instructions, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, or may also be a server that stores the program instructions, and the server may send the stored program instructions to other devices for operation, or may self-operate the stored program instructions.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a module or a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above embodiments are merely examples and are not intended to limit the scope of the present disclosure, and all modifications, equivalents, and flow charts using the contents of the specification and drawings of the present disclosure or those directly or indirectly applied to other related technical fields are intended to be included in the scope of the present disclosure.