CN117689280A

CN117689280A - Determination method and device of scheduling model

Info

Publication number: CN117689280A
Application number: CN202211034593.4A
Authority: CN
Inventors: 付强; 王东旭; 王亚超; 范慧博; 董强; 王海峰; 赵强; 王志军; 孟宪强; 马艳生; 刘国森; 伊刚; 王一帆; 李宏瑞; 耿帅; 何谦
Original assignee: Inner Mongolia Power Investment Energy Co ltd; State Power Investment Group Science and Technology Research Institute Co Ltd
Current assignee: Inner Mongolia Power Investment Energy Co ltd; State Power Investment Group Science and Technology Research Institute Co Ltd
Priority date: 2022-08-26
Filing date: 2022-08-26
Publication date: 2024-03-12

Abstract

The disclosure provides a method and a device for determining a scheduling model, wherein the method comprises the following steps: determining a mine area to be treated and a schedulable factor of the mine area; determining a target level matched with the schedulable factors according to the schedulable factors; wherein, the scheduling models of different levels have different scheduling factors; and taking the target-level scheduling model as a target scheduling model of the mine area, so as to schedule the mine area according to the target scheduling model. Therefore, according to the schedulable factors, the target level matched with the schedulable factors is determined, and then the target scheduling model of the mine area is determined, so that scheduling processing is carried out on the mine area according to the target scheduling model, and scheduling efficiency is improved.

Description

Determination method and device of scheduling model

Technical Field

The disclosure relates to the technical field of equipment scheduling, and in particular relates to a method and a device for determining a scheduling model.

Background

At present, the equipment of an open mine can realize intelligent scheduling through a scheduling model, different mine areas adapt to different scheduling models, and how to select an appropriate scheduling model for the mine areas is a problem to be solved.

Disclosure of Invention

The present disclosure aims to solve, at least to some extent, one of the technical problems in the related art.

Therefore, the present disclosure provides a method and an apparatus for determining a scheduling model, so as to determine a target level matched with a schedulable factor according to the schedulable factor, and further determine a target scheduling model of a mine area, so that scheduling processing is performed on the mine area according to the target scheduling model, and scheduling efficiency is improved.

An embodiment of an aspect of the present disclosure provides a method for determining a scheduling model, including:

determining a mine area to be treated and a schedulable factor of the mine area;

determining a target level matched with the schedulable factor according to the schedulable factor; wherein, the scheduling models of different levels have different scheduling factors;

and taking the target-level scheduling model as a target scheduling model of the mine area, so as to schedule the mine area according to the target scheduling model.

In one embodiment of the present disclosure, the determining, according to the schedulable factor, a target level matching the schedulable factor includes: acquiring scheduling factors corresponding to at least one level; wherein, the level of the scheduling model is positively correlated with the number of scheduling factors; acquiring at least one candidate level of the corresponding scheduling factors including the schedulable factors; and selecting a candidate level with the lowest level from at least one candidate level as the target level.

In one embodiment of the present disclosure, the method further comprises: determining schedulable factors lacking in the mine area when all scheduling factors of a scheduling model do not exist in the mine area; and carrying out deployment treatment on the mine area according to the lack schedulable factors.

In one embodiment of the present disclosure, the method further comprises: and when the schedulable factors in the mine area are changed, the target scheduling model of the mine area is redetermined.

In one embodiment of the present disclosure, the scheduling factor includes at least one of the following factors: equipment factors, road network factors and point factors in mine areas; the device factors include at least one of the following parameters: the device class, the number of devices per device class, the capability parameters of the devices per device class, the active area of the devices per device class; the road network factors include at least one of the following parameters: parameters of roads in the mine area and management and control rules of the roads; the mining area midpoint factor comprises at least one of the following parameters: loading point parameters, unloading point parameters.

Another embodiment of the present disclosure proposes a determination apparatus for a scheduling model, including:

the first determining module is used for determining a mine area to be processed and schedulable factors of the mine area;

the second determining module is used for determining a target level matched with the schedulable factor according to the schedulable factor; wherein, the scheduling models of different levels have different scheduling factors;

and the first processing module is used for taking the target-level scheduling model as a target scheduling model of the mine area so as to schedule the mine area according to the target scheduling model.

In one embodiment of the disclosure, the second determining module is specifically configured to obtain a scheduling factor corresponding to at least one level; wherein, the level of the scheduling model is positively correlated with the number of scheduling factors; acquiring at least one candidate level of the corresponding scheduling factors including the schedulable factors; and selecting a candidate level with the lowest level from at least one candidate level as the target level.

In one embodiment of the present disclosure, the apparatus further comprises: a third determination module and a second processing module; the third determining module is used for determining schedulable factors which are absent in the mine area when all scheduling factors of the scheduling model do not exist in the mine area; and the second processing module is used for carrying out deployment processing on the mine area according to the lacking schedulable factors.

In one embodiment of the present disclosure, the apparatus further comprises: and the fourth determining module is used for redetermining the target scheduling model of the mine area when the schedulable factors in the mine area are changed.

In still another aspect, an embodiment of the present disclosure provides an electronic device, including:

at least one processor; and a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the preceding aspect.

Yet another aspect of the present disclosure provides a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the method of the preceding aspect.

Another aspect of the present disclosure proposes a computer program product comprising computer instructions which, when executed by a processor, implement the method of the preceding aspect.

The technical scheme provided by the embodiment of the disclosure comprises the following beneficial effects:

determining a mine area to be treated and a schedulable factor of the mine area; determining a target level matched with the schedulable factors according to the schedulable factors; wherein, the scheduling models of different levels have different scheduling factors; and taking the target-level scheduling model as a target scheduling model of the mine area, so as to schedule the mine area according to the target scheduling model. Therefore, according to the schedulable factors, the target level matched with the schedulable factors is determined, and then the target scheduling model of the mine area is determined, so that scheduling processing is carried out on the mine area according to the target scheduling model, and scheduling efficiency is improved.

Additional aspects and advantages of the disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the disclosure.

Drawings

The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:

fig. 1 is a flow chart of a method for determining a scheduling model according to an embodiment of the disclosure;

FIG. 2 is a flowchart illustrating another method for determining a scheduling model according to an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of a determining device of a scheduling model according to an embodiment of the disclosure;

fig. 4 is a block diagram of an electronic device according to an embodiment of the present disclosure.

Detailed Description

Embodiments of the present disclosure are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present disclosure and are not to be construed as limiting the present disclosure.

The following describes a method and an apparatus for determining a scheduling model according to an embodiment of the present disclosure with reference to the accompanying drawings.

Fig. 1 is a flowchart of a method for determining a scheduling model according to an embodiment of the disclosure.

As shown in fig. 1, the method comprises the steps of:

step 101, determining a mine area to be processed and a schedulable factor of the mine area.

It should be noted that, the method for determining the scheduling model provided by the embodiment of the disclosure may be executed by the device for determining the scheduling model. The determination device of the scheduling model may be an electronic device, or software installed in the electronic device, etc., and may be set according to actual needs.

The electronic device may be a device capable of communicating with a plurality of vehicles, for example, a computer such as a mobile phone or a computer, or a server, and may be set according to actual needs.

In some embodiments, the scheduling factors include at least one of the following: equipment factors, road network factors and point factors in mine areas; the device factors include at least one of the following parameters: the device class, the number of devices per device class, the capability parameters of the devices per device class, the active area of the devices per device class; the road network factors include at least one of the following parameters: parameters of roads in the mine area and management and control rules of the roads; the factor of the midpoint in the mine area comprises at least one of the following parameters: loading point parameters, unloading point parameters.

The types of equipment may include vehicles for carrying coal and unloading coal, vehicles for carrying rock and unloading rock, electric shovels on shovels for shoveling coal, equipment for peeling rock, and the like. The parameters of the road refer to parameters such as gradient, wind speed, width, road condition, traffic flow and the like. The road control rules refer to rules for controlling the running road and the sequence of vehicles. For example, a vehicle that carries and unloads rock is intelligent to drive alongside. At an intersection, vehicles on a straight walk first walk. Wherein the loading point parameter refers to the loading point position and the unloading point parameter refers to the unloading point position. Taking a vehicle for carrying coal and unloading the coal as an example, wherein the loading point position of the vehicle is the position of the coal outlet shovel; the unloading point position is the position for unloading coal. Taking a vehicle for transporting and unloading rocks as an example, wherein the loading point position of the vehicle is the position of the stripping shovel position; the unloading point position is the position where the rock is discarded.

The schedulable factors may be a device type, a number of devices of each device type, a capability parameter of devices of each device type, an active area of devices of each device type, a parameter of a road in a mine area, a management rule of the road, a loading point parameter, and an unloading point parameter.

In some embodiments, the target scheduling model for the mine area is redetermined when a schedulable factor in the mine area changes. That is, when the schedulable factor in the mine area is changed, the target level matching the schedulable factor may be redetermined according to the changed schedulable factor, and the scheduling model of the target level may be further used as the redetermined target scheduling model.

Step 102, determining a target level matched with the schedulable factors according to the schedulable factors; wherein different levels of scheduling models have different scheduling factors.

In some embodiments, the determining device of the scheduling model performs the process of step 102, for example, may be to obtain a scheduling factor corresponding to at least one level; wherein, the level of the scheduling model is positively correlated with the number of scheduling factors; acquiring at least one candidate level of a corresponding scheduling factor including a schedulable factor; and selecting a candidate level with the lowest level from at least one candidate level as a target level.

Wherein, the higher the number of scheduling factors, the higher the level of the scheduling model. And selecting the candidate level with the lowest level from at least one candidate level as a target level, so that a scheduling model of the target level is used as a target scheduling model of the mine area, and scheduling processing of the mine area is realized.

And 103, taking the target-level scheduling model as a target scheduling model of the mine area, and performing scheduling processing on the mine area according to the target scheduling model.

According to the method for determining the scheduling model, the mine area to be processed and the schedulable factors of the mine area are determined; determining a target level matched with the schedulable factors according to the schedulable factors; wherein, the scheduling models of different levels have different scheduling factors; and taking the target-level scheduling model as a target scheduling model of the mine area, so as to schedule the mine area according to the target scheduling model. Therefore, according to the schedulable factors, the target level matched with the schedulable factors is determined, and then the target scheduling model of the mine area is determined, so that scheduling processing is carried out on the mine area according to the target scheduling model, and scheduling efficiency is improved.

Fig. 2 is a flowchart illustrating another method for determining a scheduling model according to an embodiment of the disclosure.

As shown in fig. 2, the method comprises the steps of:

step 201, determining a mine area to be processed and a schedulable factor of the mine area.

Step 202, determining a target level matched with the schedulable factors according to the schedulable factors; wherein different levels of scheduling models have different scheduling factors.

In some embodiments, a scheduling model is used to schedule equipment in a mine area. Such as a vehicle that carries coal and unloads the coal, a vehicle that carries rock and unloads the rock, an electric shovel on a shovel site for shoveling the coal, a device for peeling the rock, and the like. For example, vehicle information is input to the dispatch model, and dispatch instructions for the vehicle are output, wherein the vehicle information includes: real-time location of the vehicle, real-time status of the vehicle, vehicle type, number of vehicles of a certain type, etc.

In some embodiments, for all generation links of the mine area, the initial scheduling method is known by the manager about the actual situation of the site, reports to the scheduling center, and performs scheduling and site decision-making manually, which is regarded as the first level of the scheduling model.

In some embodiments, there are different scheduling factors, constraints, scheduling policies for each level of scheduling model. The different levels of scheduling models are not exactly the same. For example, a second level of scheduling model, the inputs of which may include: the vehicle type of the independent production area, the number of the manned vehicles, the number of the unmanned vehicles and the real-time position of the vehicles, and the corresponding second-level dispatching model outputs dispatching instructions of the vehicles. For example, the scheduling policy corresponding to the second-level scheduling model may be that, for the production link of the mine area, the manned vehicle and the unmanned vehicle are respectively divided into independent production areas, and regional scheduling processing is performed.

In some embodiments, the input of the third level scheduling model may further comprise, while including the input of the second level scheduling model: and outputting corresponding dispatching instructions according to the model of the manned vehicle, the model of the unmanned vehicle and the capacity parameters of the equipment. The scheduling policy corresponding to the scheduling model of the third level may be that an independent generation area is opened, a hybrid production area is divided according to the loading point position, the unloading point position and the vehicle type of the vehicle, a high-precision map protocol is constructed (as shown in table 1), and hybrid scheduling is performed on the manned vehicle and the unmanned vehicle in the transportation process according to the high-precision map, wherein the manned vehicle and the unmanned vehicle in the hybrid production area have independent loading point position and unloading point position.

Table 1 high precision map protocol

In some embodiments, on the basis of the third-level scheduling model, the input of the fourth-level scheduling model may further include: the method comprises the steps of outputting corresponding scheduling instructions according to vehicle types, capacity parameters of equipment, triggering events which occur at roads, unloading points and the like, corresponding triggering conditions and scheduling strategies of different jobs and related to operations such as perforation blasting, sprinkling, site trimming and the like. The scheduling policy corresponding to the fourth-level scheduling model may be to divide a multi-job composite production area according to the loading point position, the unloading point position and other job data of the vehicle for all links of the mine area, and monitor and manage all the devices to implement regional scheduling.

In some embodiments, on the basis of the scheduling model of the fourth level, the input of the scheduling model of the fifth level may include the number of devices involved in all links of all mine areas, the positions of the devices and the states of the devices, and output as corresponding scheduling instructions. The scheduling policy corresponding to the fifth-level scheduling model may be to monitor and manage all devices in all mine areas of the mine area for all links in all mine areas, so as to implement global scheduling.

And 203, taking the scheduling model of the target level as a target scheduling model of the mine area, so as to schedule the mine area according to the target scheduling model.

Step 204, determining schedulable factors absent in the mine area when all scheduling factors of the scheduling model do not exist in the mine area.

Wherein the schedulable factor may be at least one of the following factors: equipment factors, road network factors, and point factors in mine areas. I.e. the schedulable factors may be the equipment category, the number of equipment per equipment category, the capacity parameters of the equipment per equipment category, the active area of the equipment per equipment category, the parameters of the roads in the mine area, the rules of the management of the roads, the loading point parameters, the unloading point parameters.

And 205, performing deployment processing on the mine area according to the lack of schedulable factors.

In some embodiments, taking as an example the lack of schedulable factors in the mine area as equipment factors, deployment processing is performed on the mine area according to the schedulable factors, for example, modification of the vehicle, for example, adding sensors, adjusting sensor parameters, adding modified vehicles, and the like. The mine area is divided, for example, a production area of a manned vehicle is in an area a, a production area of an unmanned vehicle is in an area B, and the like.

It should be noted that, for details of step 201, step 202, and step 203, reference may be made to step 101, step 102, and step 103 in the embodiment shown in fig. 1, and detailed description thereof will not be provided here.

According to the method for determining the scheduling model, the mine area to be processed and the schedulable factors of the mine area are determined; determining a target level matched with the schedulable factors according to the schedulable factors; wherein, the scheduling models of different levels have different scheduling factors; taking the scheduling model of the target level as a target scheduling model of the mine area, so as to schedule the mine area according to the target scheduling model; according to the lack of schedulable factors, carrying out deployment treatment on the mine area; and carrying out deployment treatment on the mine area according to the lacking schedulable factors. Therefore, according to the schedulable factors, the target level matched with the schedulable factors is determined, and then the target scheduling model of the mine area is determined, so that scheduling processing is carried out on the mine area according to the target scheduling model, and scheduling efficiency is improved.

In order to implement the above embodiment, the present disclosure further provides a device for determining a scheduling model.

Fig. 3 is a schematic structural diagram of a determining device for a scheduling model according to an embodiment of the disclosure.

As shown in fig. 3, the determining apparatus 300 of the scheduling model includes:

a first determining module 301, configured to determine a mine area to be processed and a schedulable factor of the mine area;

a second determining module 302, configured to determine, according to the schedulable factor, a target level that matches the schedulable factor; wherein, the scheduling models of different levels have different scheduling factors;

and the first processing module 303 is configured to use the target-level scheduling model as a target scheduling model of the mine area, so as to perform scheduling processing on the mine area according to the target scheduling model.

Further, in one possible implementation manner of the embodiment of the present disclosure, the second determining module 302 is specifically configured to obtain a scheduling factor corresponding to at least one level; wherein, the level of the scheduling model is positively correlated with the number of scheduling factors; acquiring at least one candidate level of the corresponding scheduling factors including the schedulable factors; and selecting a candidate level with the lowest level from at least one candidate level as the target level.

Further, in one possible implementation of the embodiments of the disclosure, the apparatus further includes: a third determination module and a second processing module; the third determining module is used for determining schedulable factors which are absent in the mine area when all scheduling factors of the scheduling model do not exist in the mine area; and the second processing module is used for carrying out deployment processing on the mine area according to the lacking schedulable factors.

Further, in one possible implementation of the embodiments of the disclosure, the apparatus further includes: and the fourth determining module is used for redetermining the target scheduling model of the mine area when the schedulable factors in the mine area are changed.

Further, in one possible implementation of the embodiments of the present disclosure, the scheduling factor includes at least one of the following factors: equipment factors, road network factors and point factors in mine areas; the device factors include at least one of the following parameters: the device class, the number of devices per device class, the capability parameters of the devices per device class, the active area of the devices per device class; the road network factors include at least one of the following parameters: parameters of roads in the mine area and management and control rules of the roads; the mining area midpoint factor comprises at least one of the following parameters: loading point parameters, unloading point parameters.

The determining device of the scheduling model of the embodiment of the disclosure determines a mine area to be processed and schedulable factors of the mine area; determining a target level matched with the schedulable factors according to the schedulable factors; wherein, the scheduling models of different levels have different scheduling factors; and taking the target-level scheduling model as a target scheduling model of the mine area, so as to schedule the mine area according to the target scheduling model. Therefore, according to the schedulable factors, the target level matched with the schedulable factors is determined, and then the target scheduling model of the mine area is determined, so that scheduling processing is carried out on the mine area according to the target scheduling model, and scheduling efficiency is improved.

In order to achieve the above embodiments, an embodiment of the present disclosure proposes an electronic device including:

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the preceding method embodiment.

To achieve the above embodiments, the present disclosure proposes a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the method of the foregoing method embodiments.

To achieve the above embodiments, the disclosed embodiments propose a computer program product comprising computer instructions, which when executed by a processor implement the method of the foregoing method embodiments.

Fig. 4 is a block diagram of an electronic device according to an embodiment of the present disclosure. The electronic device shown in fig. 4 is merely an example and should not be construed to limit the functionality and scope of use of the disclosed embodiments.

As shown in fig. 4, the electronic device 10 includes a processor 11 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 12 or a program loaded from a Memory 16 into a random access Memory (RAM, random Access Memory) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 are also stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An Input/Output (I/O) interface 15 is also connected to bus 14.

The following components are connected to the I/O interface 15: a memory 16 including a hard disk and the like; and a communication section 17 including a network interface card such as a LAN (local area network ) card, a modem, or the like, the communication section 17 performing communication processing via a network such as the internet; the drive 18 is also connected to the I/O interface 15 as needed.

In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program embodied on a computer readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from the network through the communication section 17. The above-described functions defined in the methods of the present disclosure are performed when the computer program is executed by the processor 11.

In an exemplary embodiment, a storage medium is also provided, such as a memory 16, comprising instructions executable by the processor 11 of the electronic device 10 to perform the above-described method. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.

In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present disclosure. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.

Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present disclosure, the meaning of "a plurality" is at least two, such as two, three, etc., unless explicitly specified otherwise.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present disclosure in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present disclosure.

Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.

It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.

Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.

Furthermore, each functional unit in the embodiments of the present disclosure may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.

The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. Although embodiments of the present disclosure have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the present disclosure, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the present disclosure.

Claims

1. A method for determining a scheduling model, comprising:

2. The method of claim 1, wherein said determining a target level matching said schedulable factor based on said schedulable factor comprises:

acquiring scheduling factors corresponding to at least one level; wherein, the level of the scheduling model is positively correlated with the number of scheduling factors;

acquiring at least one candidate level of the corresponding scheduling factors including the schedulable factors;

and selecting a candidate level with the lowest level from at least one candidate level as the target level.

3. The method according to claim 1, wherein the method further comprises:

determining schedulable factors lacking in the mine area when all scheduling factors of a scheduling model do not exist in the mine area;

and carrying out deployment treatment on the mine area according to the lack schedulable factors.

4. The method according to claim 1, wherein the method further comprises:

and when the schedulable factors in the mine area are changed, the target scheduling model of the mine area is redetermined.

5. A method according to claim 1 or 3, wherein the scheduling factors include at least one of the following factors: equipment factors, road network factors and point factors in mine areas;

the device factors include at least one of the following parameters: the device class, the number of devices per device class, the capability parameters of the devices per device class, the active area of the devices per device class;

the road network factors include at least one of the following parameters: parameters of roads in the mine area and management and control rules of the roads;

the mining area midpoint factor comprises at least one of the following parameters: loading point parameters, unloading point parameters.

6. A scheduling model determining apparatus, comprising:

7. The method of claim 6, wherein the second determining module is configured to,

8. The method of claim 6, wherein the apparatus further comprises: a third determination module and a second processing module;

the third determining module is used for determining schedulable factors which are absent in the mine area when all scheduling factors of the scheduling model do not exist in the mine area;

and the second processing module is used for carrying out deployment processing on the mine area according to the lacking schedulable factors.

9. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.

10. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-5.