1. A work order recommendation method is characterized by comprising the following steps:

acquiring task information of a work order;

acquiring corresponding on-duty personnel based on the task information of the work order;

acquiring real-time work information of the person on duty;

calculating working parameters of the on-duty personnel based on the real-time working information according to a preset rule;

and sequencing the on-duty personnel based on the working parameters of the on-duty personnel and outputting a work order recommendation list.

2. The work order recommendation method as claimed in claim 1,

the real-time work information comprises a duty position, and the task information of the work order comprises a task position;

the step of calculating the working parameters of the on-duty personnel based on the real-time working information according to a preset rule comprises the following steps:

and calculating the duty distance of the duty personnel based on the duty position of the duty personnel and the task position.

3. The work order recommendation method as claimed in claim 2,

the step of calculating the working parameters of the on-duty personnel based on the real-time working information according to a preset rule comprises the following steps:

acquiring the duty distance of each duty worker;

comparing the duty distances of all the duty personnel to obtain the farthest duty distance of all the duty personnel;

and calculating the distance weight number of each person on duty by using the farthest distance on duty and the distance on duty of each person on duty.

4. The work order recommendation method as claimed in claim 1,

the real-time work information comprises a task list;

the step of calculating the working parameters of the on-duty personnel based on the real-time working information according to a preset rule comprises the following steps:

and calculating the task number of the on-duty personnel based on the task list of the on-duty personnel.

5. The work order recommendation method as claimed in claim 1,

the real-time work information comprises a task list and a duty position, and the task information of the work order comprises a task position;

the step of calculating the working parameters of the on-duty personnel based on the real-time working information according to a preset rule comprises the following steps:

calculating the duty distance of the duty personnel based on the duty position of the duty personnel and the task position;

calculating the task number of the on-duty personnel based on the task list of the on-duty personnel;

and calculating the duty distance and the number of tasks according to a preset weight ratio to obtain the work order recommended weight number of the duty personnel.

6. The work order recommendation method of claim 5,

the step of calculating the duty distance and the number of tasks according to the preset weight ratio to obtain the work order recommended weight number of the duty personnel comprises the following steps:

obtaining the distance weight ratio of the duty distance;

acquiring the task weight ratio of the task quantity;

calculating a first weighted value of the duty distance and the distance weight ratio and a second weighted value of the task quantity and the task weight ratio;

and calculating the sum of the first weighted value and the second weighted value to obtain the work order recommendation weight number of the on-duty personnel.

7. The work order recommendation method according to claim 5 or 6,

the step of sequencing the on-duty personnel based on the working parameters of the on-duty personnel and outputting a work order recommendation list comprises the following steps:

sequencing the work order recommended weight numbers of the on-duty personnel in a descending order;

and acquiring the work recommendation weight number and the corresponding on-duty personnel list before the preset serial number, and generating and outputting the work order recommendation list.

8. The work order recommendation method as claimed in claim 1,

the task information of the work order comprises a task type;

the step of acquiring corresponding on-duty personnel based on the task information of the work order comprises the following steps:

acquiring a corresponding duty working group based on the type of the task information of the work order;

and acquiring the online on-duty personnel in the on-duty working group.

9. A work order recommendation device, comprising:

the first acquisition unit is used for acquiring task information of the work order;

the second acquisition unit is used for acquiring corresponding on-duty personnel based on the task information of the work order;

the third acquisition unit is used for acquiring the real-time work information of the person on duty;

the computing unit is used for computing working parameters of the on-duty personnel based on the real-time working information according to a preset rule;

and the output unit is used for sequencing the on-duty personnel based on the working parameters of the on-duty personnel and outputting a work order recommendation list.

10. A terminal device, comprising a memory and a processor, wherein the memory is coupled to the processor;

wherein the memory is configured to store program data and the processor is configured to execute the program data to implement the work order recommendation method of any of claims 1-8.

11. A computer storage medium for storing program data for implementing the work order recommendation method of any one of claims 1 to 8 when executed by a processor.

Background

In the daily equipment operation and maintenance management process, workers need to be arranged to manage corresponding work tasks. Such as a maintenance process. However, due to the diversity of the work tasks and the limitation of the number of the staff, for example, there may be a problem that the staff who arranges and processes the current work task cannot process the current work task in time due to other work tasks, or cannot process the work task in time due to the fact that the distance between the work task to be processed and the current work position is far away, and the like, so that the staff cannot be intelligently arranged to process the work task.

Disclosure of Invention

The application provides a work order recommendation method, a work order recommendation device, terminal equipment and a computer storage medium, and aims to solve the problem that a work order cannot be intelligently recommended in the prior art.

In order to solve the technical problem, the present application provides a work order recommendation method, which includes:

acquiring task information of a work order;

acquiring corresponding on-duty personnel based on the task information of the work order;

acquiring real-time work information of the person on duty;

calculating working parameters of the on-duty personnel based on the real-time working information according to a preset rule;

and sequencing the on-duty personnel based on the working parameters of the on-duty personnel and outputting a work order recommendation list.

In order to solve the above technical problem, the present application provides a work order recommendation device, the work order recommendation device includes:

the first acquisition unit is used for acquiring task information of the work order;

the second acquisition unit is used for acquiring corresponding on-duty personnel based on the task information of the work order;

the third acquisition unit is used for acquiring the real-time work information of the person on duty;

the computing unit is used for computing working parameters of the on-duty personnel based on the real-time working information according to a preset rule;

and the output unit is used for sequencing the on-duty personnel based on the working parameters of the on-duty personnel and outputting a work order recommendation list.

In order to solve the above technical problem, the present application provides a terminal device, which includes 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 work order recommendation method.

To solve the above technical problem, the present application further provides a computer storage medium for storing program data, which when executed by a processor, is used to implement the work order recommendation method as described above.

According to the work order recommendation method, the task information of the work order and the real-time work information of the on-duty personnel are obtained, the work parameters of the on-duty personnel are calculated according to the preset rules based on the real-time work information, the on-duty personnel are sequenced based on the work parameters of the on-duty personnel, a work order recommendation list is obtained, unreasonable task allocation caused by problems of the on-duty distance and/or the number of tasks of the on-duty personnel is avoided, and intelligent work order recommendation is achieved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts. Wherein:

FIG. 1 is a schematic flow chart diagram of an embodiment of a work order recommendation method provided herein;

FIG. 2 is a schematic flow diagram of an embodiment of S104 of the work order recommendation method shown in FIG. 1;

FIG. 3 is a schematic flow diagram of yet another embodiment of S104 of the work order recommendation method shown in FIG. 1;

FIG. 4 is a schematic flow diagram of yet another embodiment of S104 of the work order recommendation method shown in FIG. 1;

FIG. 5 is a schematic flow chart diagram of yet another embodiment of S104 of the work order recommendation method shown in FIG. 1;

FIG. 6 is a schematic flow chart diagram of an embodiment of S503 in the work order recommendation method shown in FIG. 5;

FIG. 7 is a schematic structural diagram of an embodiment of a work order recommendation device provided by 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 technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The present application provides a work order recommendation method, and specifically refers to fig. 1, where fig. 1 is a schematic flow diagram of an embodiment of the work order recommendation method provided in the present application. The work order recommendation method in this embodiment can be applied to a work order recommendation device, and the work order recommendation 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 are mutually matched. 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 work order recommendation method of the embodiment specifically comprises the following steps:

s101: and acquiring task information of the work order.

In the embodiment of the disclosure, the equipment generates the work order and sends the task information of the work order to the work order recommendation device. The work order recommendation device receives the task information of the work order and recommends proper duty personnel to process the work order based on the task information of the work order. Wherein, the work order can be a maintenance work order, an inspection work order, etc. The task information of the work order can be task position, task type, operation and maintenance data of the equipment, operation and maintenance conditions and the like.

S102: and acquiring corresponding on-duty personnel based on the task information of the work order.

In consideration of the diversity of the task information and the professional of the operator on duty, the work order recommendation device can identify the task information of the work order and recommend the corresponding operator on duty based on the task information of different work orders. For example, if the work order recommendation device recognizes that the task information of the work order is the maintenance task information, it recommends that the person on duty in the maintenance group process the task information of the work order, and does not recommend that the person on duty in the inspection group process the task information of the work order.

In an embodiment, in order to avoid inefficient recommendation due to recommendation of a vacation or off-duty worker, the work order recommending device may acquire a corresponding on-duty work group based on task information of the work order, and acquire an on-line on-duty worker in the on-duty work group.

S103: and acquiring real-time work information of the person on duty.

The task information of the work order cannot be processed in time due to the fact that the on-duty personnel may have other work tasks or be far away from the current task position. In order to avoid the problems, the work order recommendation device acquires real-time work information of the person on duty so as to recommend task information of the person on duty for processing the work order based on the real-time work information.

S104: and calculating working parameters of the on-duty personnel based on the real-time working information according to a preset rule.

The task information of the work order can comprise a task position, a task type, operation and maintenance data of the equipment, operation and maintenance conditions and the like. For this purpose, the work order recommendation device may set a preset rule using at least one condition of the task information of the work order, and calculate the work parameters of the person on duty with the real-time work information according to the preset rule. Specifically, the task information of the work order includes a task type, and the work order recommendation device can set a rule according to the task type and calculate the working parameters of the staff on duty according to the rule and the real-time working information.

S105: and sequencing the on-duty personnel based on the working parameters of the on-duty personnel and outputting a work order recommendation list.

The work order recommendation device sorts the on-duty personnel by using the working parameters of the on-duty personnel and outputs a work order recommendation list. Specifically, the work order recommending device recommends the work orders to the operators on duty sequenced before the preset sequence to obtain a work order recommendation list. Wherein, the work order recommendation list comprises at least one person on duty. The preset sequence can be set according to actual conditions. Specifically, the setting can be performed according to the emergency situation of the task information of the work order, and when the task information of the work order indicates that the current task is urgent, at least 2 workers in the work order can be recommended to process the current task. And when the task information of the work order indicates that the current task is not urgent, 1 staff of value class can be recommended to process the current task.

In the scheme, the work order recommendation device calculates the working parameters of the on-duty personnel based on the real-time working information according to the preset rules by acquiring the task information of the work order and the real-time working information of the on-duty personnel, and sequences the on-duty personnel based on the working parameters of the on-duty personnel to obtain the work order recommendation list, thereby avoiding unreasonable task allocation caused by the problems of the on-duty distance and/or the number of tasks of the on-duty personnel and realizing intelligent work order recommendation.

Continuing to refer to fig. 2, fig. 2 is a schematic flow chart diagram of an embodiment of S104 in the work order recommendation method shown in fig. 1. On the basis of the above embodiment, the real-time work information of the embodiment includes the duty position, and the task information of the work order includes the task position. Specifically, the work order recommendation method of the embodiment further includes the following steps:

s201: and acquiring the task position of the work order.

S202: and acquiring corresponding on-duty personnel based on the task position of the work order.

S203: and acquiring the on-duty position of the on-duty personnel.

For the detailed description of S201 to S203 in this embodiment, reference may be made to S101 to S103 in the above embodiment. On the basis of the above embodiments, the work order recommendation apparatus of this embodiment considers the influence of the on-duty distance of the on-duty person on the work order recommendation list. Therefore, the work order recommending device acquires the task position of the work order and acquires the corresponding on-duty personnel based on the task position of the work order.

Specifically, in order to improve the acquisition efficiency of the work order recommendation list, the work order recommendation device may set a preset range based on the task position of the work order, and acquire the person on duty within the preset range.

S204: and calculating the duty distance of the duty personnel based on the duty position and the task position of the duty personnel.

The work order recommendation device determines the duty distance between the actual duty position and the task position of the duty personnel by utilizing the task position and the duty position.

In a specific embodiment, the work order recommendation device can calculate the duty distance between the task position and the duty position through the longitude and latitude of the task position and the duty position of the duty personnel.

S205: and sequencing the on-duty personnel based on the on-duty distance of the on-duty personnel and outputting a work order recommendation list.

Based on the duty distance obtained in S204, the work order recommendation device sorts the duty distances of all the duty personnel, and determines a work order recommendation list by using the duty personnel corresponding to the duty distance before the preset sequence. Wherein the work order recommendation list comprises at least one person on duty.

In the scheme, the work order recommendation device determines the duty distance of each duty worker by using the task position and the duty position, and determines the work order recommendation list by using the duty distance sequence of all duty workers, so that the work order is prevented from being recommended to the duty workers with longer duty distance, and intelligent work order recommendation is realized.

Continuing to refer to fig. 3, fig. 3 is a schematic flow chart diagram of another embodiment of S104 in the work order recommendation method shown in fig. 1. On the basis of the above embodiment, S104 further includes the steps of:

s301: and acquiring the duty distance of each duty worker.

The method considers the inaccuracy existing in the process of directly utilizing the duty distance to sequence the duty personnel and output the work order recommendation list. Therefore, the work order recommendation device of the embodiment considers that the distance weight number of the on-duty personnel is calculated by using the on-duty distance, so that the on-duty personnel is sequenced by using the distance weight number and a work order recommendation list is output, and intelligent work order recommendation is further realized. The task information of the work order specifically includes a task position. The real-time work information includes a duty position.

Specifically, the work order recommendation device determines the duty distance by using the distance between the duty position and the task position of the duty personnel to obtain the duty distances of all the duty personnel.

S302: and comparing the duty distances of all the duty personnel to obtain the farthest duty distance of all the duty personnel.

In order to determine the distance weight number of each person on duty reasonably, the work order recommendation device considers the influence of the long-distance duty distance on all duty distances. Specifically, the work order recommendation device compares the on-duty distances of all the on-duty personnel and determines the farthest on-duty distance in the on-duty distances of all the on-duty personnel.

S303: and calculating the distance weight number of each person on duty by using the farthest distance on duty and the distance on duty of each person on duty.

The work order recommending device calculates the distance weight number of each person on duty by using the farthest distance on duty and the distance on duty of each person on duty. Specifically, the work order recommendation device calculates a ratio of the on-duty distance of each operator to the farthest on-duty distance, and determines the distance weight number of each operator by using the ratio. And determining a work order recommendation list based on the sequencing of the distance weight numbers of all the on-duty personnel.

In the scheme, the work order recommendation device considers the inaccuracy of directly utilizing the duty distance to sequence the duty personnel and output the work order recommendation list, and therefore the duty distance is utilized to calculate the distance weight number of the duty personnel, so that the distance weight number is utilized to sequence the duty personnel and output the work order recommendation list, intelligent chemical order recommendation is achieved, and the reasonability and the accuracy of the work order recommendation are achieved.

Continuing to refer to fig. 4, fig. 4 is a schematic flow chart diagram of another embodiment of S104 in the work order recommendation method shown in fig. 1. Specifically, the work order recommendation method of the embodiment further includes the following steps:

s401: and acquiring task information of the work order.

S402: and acquiring corresponding on-duty personnel based on the task information of the work order.

The detailed descriptions of S401 to S402 in this embodiment can refer to S101 to S102 in the above embodiment, and are not repeated herein.

S403: and acquiring a task list of the person on duty.

S404: and calculating the task number of the on-duty personnel based on the task list of the on-duty personnel.

Considering that the on-duty worker may have a plurality of task numbers, the work order recommendation device may determine the task number of each on-duty worker according to the obtained task list of the on-duty worker.

Specifically, since the task information of the work order corresponds to at least one person on duty, in order to improve the efficiency of acquiring the number of tasks, the work order recommendation device may acquire a task list of each person on duty, so as to determine the number of tasks of the person on duty based on the task list of each person on duty.

Of course, the work order device may also obtain a task list of corresponding operators on duty based on the corresponding operators on duty, and determine the number of tasks of each operator on duty in the task list.

S405: and sequencing the on-duty personnel based on the task number of the on-duty personnel and outputting a work order recommendation list.

Based on the number of tasks acquired in S404, the work order recommendation device sorts the number of tasks of all the on-duty personnel, and sorts the on-duty personnel by the number of tasks to determine a work order recommendation list. The work order recommendation list comprises the operators on duty corresponding to the task quantity sequenced before the preset sequence.

In the scheme, the work order recommendation device sequences the on-duty personnel by using the task number of all the on-duty personnel to determine the work order recommendation list, so that the work order is prevented from being recommended to the on-duty personnel with a large task number, and intelligent work order recommendation is realized.

Continuing to refer to fig. 5, fig. 5 is a schematic flow chart diagram of another embodiment of S104 in the work order recommendation method shown in fig. 1. On the basis of the above embodiment, the real-time work information of the embodiment includes a task list and a duty position, and the task information of the work order includes a task position. Specifically, the method further includes the following steps after S104:

s501: and calculating the duty distance of the duty personnel based on the duty position and the task position of the duty personnel.

S502: and calculating the task number of the on-duty personnel based on the task list of the on-duty personnel.

For detailed descriptions of S501 to S502 in this embodiment, reference may be made to S204 and S404 in the above embodiment, which is not repeated herein.

S503: and calculating the duty distance and the number of tasks according to the preset weight ratio to obtain the work order recommended weight number of the duty personnel.

The work order recommendation device considers the influence of the duty distance and the number of tasks on the work order recommendation list.

Optionally, in this embodiment, S503 may be implemented by using the embodiment in fig. 6, and specifically includes S601 to S604:

s601: and obtaining the distance weight ratio of the on-duty distance.

S602: and acquiring the task weight ratio of the task quantity.

Considering that the influence of the duty distance and the number of tasks of the duty personnel on the work order recommendation list under different conditions is different, in order to reasonably utilize the duty distance and the number of tasks to obtain the work order recommendation work order, the work order recommendation device needs to respectively obtain the distance weight ratio and the task weight ratio of the duty distance.

The sum of the distance weight ratio and the task weight ratio from the on-duty distance is 1. For example, the duty distance has a distance weight ratio of 0.7, and the task weight ratio of the number of tasks is 0.3. In a specific embodiment, the distance weight ratio from the on-duty distance may be smaller than the task weight ratio, and the distance weight ratio from the on-duty distance may also be greater than or equal to the task weight ratio. The present embodiment does not limit this, and may be set according to actual situations.

S603: and calculating a first weighted value of duty distance and distance weight ratio and a second weighted value of task quantity and task weight ratio.

Based on the distance weight ratio of the on-duty distance obtained in S601 and the task weight ratio of the task number obtained in S602, the work order recommendation device calculates a first weighted value using the on-duty distance and the distance weight ratio of the operator on duty, and calculates a second weighted value using the task number and the task weight ratio of the operator on duty. Continuing with the above example, when the shift distance of the operator on duty is 5 km and the number of tasks of the operator on duty is 4, the first weighting value is 5 × 0.7 — 3.5, and the second weighting value is 4 × 0.3 — 1.2.

S604: and calculating the sum of the first weighted value and the second weighted value to obtain the work order recommendation weight number of the on-duty personnel.

Based on the first weighted value and the second weighted value acquired in S603, the work order recommending device calculates the sum of the first weighted value and the second weighted value as the work order recommending weight number of the on-duty person, and obtains the work order recommending weight numbers of all the on-duty persons. Continuing with the above example, the work order recommended weight number for the attendant is 3.5+1.2 — 4.7.

S504: and sequencing the work order recommended weight numbers of the on-duty personnel in a descending order.

In order to intelligently recommend the work order, the work order recommendation device sorts the work order recommendation weights of all the operators on duty in the order from small to large.

S505: and acquiring the recommended weight number of the work order before the preset serial number and a corresponding list of the on-duty personnel, and generating and outputting a work order recommendation list.

The work order recommendation device selects the work order recommendation weight number before the preset serial number, acquires the duty list corresponding to the selected work order recommendation weight number, generates a work order recommendation list based on the duty list, outputs the work order recommendation list, and recommends proper duty personnel according to the work order recommendation list to process the task information of the work order. The work order recommendation list can further comprise basic information of the staff on duty. Such as telephone, age, etc.

In the scheme, the work order recommendation device considers the influence of the duty distance and the duty task number of the duty personnel on the work order recommendation list, determines the work order recommendation weight numbers of all the duty personnel by utilizing the distance weight ratio and the task number weight ratio of the duty distance of the duty personnel, and then selects the work order recommendation weight numbers before the preset serial number and the corresponding duty personnel list in sequence to generate and output the work order recommendation list so as to realize intelligent work order recommendation.

To implement the work order recommendation method of the above embodiment, the present application provides a work order recommendation device, and specifically refer to fig. 7, where fig. 7 is a schematic structural diagram of an embodiment of the work order recommendation device provided in the present application. Specifically, the work order recommendation apparatus 700 includes a first acquisition unit 71, a second acquisition unit 72, a third acquisition unit 73, a calculation unit 74, and an output unit 75.

The first obtaining unit 71 is configured to obtain task information of a work order.

And a second obtaining unit 72, configured to obtain a corresponding attendant based on the task information of the work order.

And a third obtaining unit 73, configured to obtain real-time work information of the attendant.

And the calculating unit 74 is used for calculating the working parameters of the on-duty personnel based on the real-time working information according to a preset rule.

And the output unit 75 is configured to sort the staff on duty based on the working parameters of the staff on duty and output a work order recommendation list.

To implement the work order recommendation method of the above embodiment, the present application provides a terminal device, and specifically refer to fig. 8, where fig. 8 is a schematic structural diagram of an embodiment of the terminal device provided in the present application.

The terminal device 800 comprises a memory 81 and a processor 82, wherein the memory 81 and the processor 82 are coupled.

The memory 81 is used for storing program data, and the processor 82 is used for executing the program data to realize the task information of acquiring the work order; acquiring corresponding on-duty personnel based on the task information of the work order; acquiring real-time work information of an operator on duty; calculating working parameters of the on-duty personnel based on the real-time working information according to a preset rule; and sequencing the on-duty personnel based on the working parameters of the on-duty personnel and outputting a work order recommendation list.

In the present embodiment, the processor 82 may also be referred to as a CPU (Central Processing Unit). The processor 82 may be an integrated circuit chip having signal processing capabilities. The processor 82 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 82 may be any conventional processor or the like.

The present application further provides a computer storage medium 900, as shown in fig. 9, the computer storage medium 900 is used for storing program data 91, and when the program data 91 is executed by a processor, the program data 91 is used for implementing task information of a work order; acquiring corresponding on-duty personnel based on the task information of the work order; acquiring real-time work information of an operator on duty; calculating working parameters of the on-duty personnel based on the real-time working information according to a preset rule; and sequencing the on-duty personnel based on the working parameters of the on-duty personnel and outputting a work order recommendation list.

The method related in the embodiment of the work order recommendation method of the application, when implemented in the form of a software functional unit and sold or used as a stand-alone product, can be stored in a device, for example, a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed 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, or a network device) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present invention. 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 description is only for the purpose of illustrating embodiments of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings of the present application or are directly or indirectly applied to other related technical fields, are also included in the scope of the present application.