Automatic coal mine dispatching method and system based on mining industry

Abstract

The invention provides a coal mine automatic scheduling method and system based on the mining industry. Acquiring state data of the mining equipment through a sensing device; cleaning and standardizing the state data to generate standard data; generating an alternative scheduling scheme, and determining a target value according to the alternative scheduling scheme and a preset target function; generating constraint conditions according to the standard data; and selecting an applicable scheduling scheme according to the target value and the constraint condition. In the process, the state data of the mining equipment is accurately collected through the sensing device, and high-quality standard data is generated after cleaning and standardization processing. Based on the data, the system can generate a plurality of alternative scheduling schemes and evaluate target values thereof according to a preset target function. Meanwhile, the standard data is also used for setting constraint conditions, so that the feasibility of the scheduling scheme is ensured. And finally, the system selects an optimal scheduling scheme according to the target value and the constraint condition, so that efficient and safe operation of the mining equipment is realized, and the overall operation efficiency is improved.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a method and system for automatically dispatching coal mines based on the mining industry. Background Art

[0002] With the development of major domestic coal mines, coal, as an energy reserve, has an increasing output and a variety of types. It has become an inevitable trend to build a vehicle coal mine transportation network. With the increasing production capacity, the required transportation capacity is also gradually increasing. Even different types of coal may require different modes of transportation. Among the many modes of transportation, land transportation is also the most common and commonly used one. However, land transportation in the current coal mine scene has also encountered many problems, the first of which is the scheduling problem.

[0003] In the coal mine transportation scenario, vehicle scheduling is subject to many constraints, including coal vehicle weight constraints, coal area priority, transportation time constraints, etc. Currently, scheduling is mainly done manually, which is inefficient and the transportation volume cannot reach the maximum. This method is prone to low transportation efficiency and requires high work costs. Summary of the invention

[0004] The embodiments of the present application provide a method and system for coal mine automation scheduling based on the mining industry, thereby at least to a certain extent solving the problem of low efficiency of coal mine automation scheduling in the mining industry.

[0005] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by the practice of the present application.

[0006] According to one aspect of the present application, a method for automated scheduling of coal mines based on the mining industry is provided, comprising: collecting status data of mining equipment through a sensor device; cleaning and standardizing the status data to generate standard data; generating alternative scheduling schemes, and determining target values ​​based on the alternative scheduling schemes and a preset objective function; generating constraints based on the standard data; and selecting an applicable scheduling scheme based on the target value and the constraints.

[0007] In the present application, based on the aforementioned scheme, the generation of alternative scheduling schemes and the determination of target values ​​according to the alternative scheduling schemes and a preset objective function include: generating alternative scheduling schemes according to the operating data of the mining equipment, and determining the equipment data in each alternative scheduling scheme; determining the target value according to the equipment data and a preset objective function.

[0008] In the present application, based on the aforementioned scheme, the generation of constraint conditions according to the standard data includes: determining a first constraint condition according to the actual production capacity and operating time in the standard data; determining a second constraint condition according to the energy consumption data in the standard data; and generating constraint conditions according to the first constraint condition and the second constraint condition.

[0009] In the present application, based on the aforementioned scheme, the selection of an applicable scheduling scheme according to the target value and the constraints includes: determining the first scheduling data within the constraint range based on the constraints; determining the second scheduling data corresponding to the minimum target value; and selecting the target data from the intersection of the first scheduling data and the second scheduling data as the scheduling scheme.

[0010] In the present application, based on the aforementioned scheme, the status data of mining equipment is collected through a sensor device, including: determining the parameters that need to be monitored according to the type and operating characteristics of the mining equipment; selecting the corresponding sensor type according to different monitoring parameters; and collecting the status data of the mining equipment according to the sensor device corresponding to the sensor type.

[0011] In the present application, based on the aforementioned scheme, the status data is cleaned and standardized to generate standard data, including: traversing each data point in the data set of the status data to check whether there are missing values; generating fill values ​​for filling based on the information of the adjacent data points of the missing values.

[0012] In the present application, based on the above-mentioned solution, the state data is cleaned and standardized to generate standard data, including: using a hash function to identify duplicate records in the data set and deleting them.

[0013] According to one aspect of the present application, a coal mine automation dispatching system based on the mining industry is provided, comprising:

[0014] A collection unit, used for collecting status data of mining equipment through a sensor device;

[0015] A cleaning unit, used for cleaning and standardizing the state data to generate standard data;

[0016] A scheme unit, used to generate an alternative scheduling scheme and determine a target value according to the alternative scheduling scheme and a preset target function;

[0017] A condition unit, used for generating constraint conditions according to the standard data;

[0018] The scheduling unit is used to select an applicable scheduling scheme according to the target value and constraint conditions.

[0019] In the present application, based on the aforementioned scheme, the generation of alternative scheduling schemes and the determination of target values ​​according to the alternative scheduling schemes and a preset objective function include: generating alternative scheduling schemes according to the operating data of the mining equipment, and determining the equipment data in each alternative scheduling scheme; determining the target value according to the equipment data and a preset objective function.

[0020] In the present application, based on the aforementioned scheme, the generation of constraint conditions according to the standard data includes: determining a first constraint condition according to the actual production capacity and operating time in the standard data; determining a second constraint condition according to the energy consumption data in the standard data; and generating constraint conditions according to the first constraint condition and the second constraint condition.

[0021] In the present application, based on the aforementioned scheme, the selection of an applicable scheduling scheme according to the target value and the constraints includes: determining the first scheduling data within the constraint range based on the constraints; determining the second scheduling data corresponding to the minimum target value; and selecting the target data from the intersection of the first scheduling data and the second scheduling data as the scheduling scheme.

[0022] In the present application, based on the aforementioned scheme, the status data of mining equipment is collected through a sensor device, including: determining the parameters that need to be monitored according to the type and operating characteristics of the mining equipment; selecting the corresponding sensor type according to different monitoring parameters; and collecting the status data of the mining equipment according to the sensor device corresponding to the sensor type.

[0023] In the present application, based on the aforementioned scheme, the status data is cleaned and standardized to generate standard data, including: traversing each data point in the data set of the status data to check whether there are missing values; generating fill values ​​for filling based on the information of the adjacent data points of the missing values.

[0024] In the present application, based on the above-mentioned solution, the state data is cleaned and standardized to generate standard data, including: using a hash function to identify duplicate records in the data set and deleting them.

[0025] According to one aspect of the present application, a computer-readable medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method for automated scheduling of coal mines based on the mining industry as described in the above embodiments is implemented.

[0026] According to one aspect of the present application, an electronic device is provided, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the coal mine automation scheduling method based on the mining industry as described in the above-mentioned embodiments.

[0027] According to one aspect of the present application, a computer program product or a computer program is provided, the computer program product or the computer program including computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the coal mine automation scheduling method based on the mining industry provided in the above-mentioned various optional implementations.

[0028] In the technical solution of the present application, the status data of mining equipment is collected by a sensor device; the status data is cleaned and standardized to generate standard data; an alternative scheduling scheme is generated, and the target value is determined according to the alternative scheduling scheme and a preset objective function; constraints are generated according to the standard data; and an applicable scheduling scheme is selected according to the target value and constraints. The above process accurately collects the status data of mining equipment through a sensor device, and generates high-quality standard data after cleaning and standardization. Based on these data, the system can generate multiple alternative scheduling schemes and evaluate their target values ​​according to the preset objective function. At the same time, standard data is also used to set constraints to ensure the feasibility of the scheduling scheme. Finally, the system selects the optimal scheduling scheme based on the target value and constraints to achieve efficient and safe operation of mining equipment and improve overall operational efficiency.

[0029] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The drawings herein are incorporated into the specification and constitute a part of the specification, illustrate embodiments consistent with the present application, and together with the specification are used to explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0031] Figure 1 A flow chart of a coal mine automation scheduling method based on the mining industry in one embodiment of the present application is schematically shown.

[0032] Figure 2 A flowchart for collecting status data of mining equipment in one embodiment of the present application is schematically shown.

[0033] Figure 3 A schematic diagram of a coal mine automation dispatching system based on the mining industry in one embodiment of the present application is schematically shown.

[0034] Figure 4 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown. DETAILED DESCRIPTION

[0035] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this application will be more comprehensive and complete and fully convey the concept of the example embodiments to those skilled in the art.

[0036] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present application. However, those skilled in the art will appreciate that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps, etc. can be adopted. In other cases, known methods, devices, realizations or operations are not shown or described in detail to avoid blurring the various aspects of the application.

[0037] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0038] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

[0039] The implementation details of the technical solution of this application are described in detail below:

[0040] Figure 1 The flowchart of the coal mine automation scheduling method based on the mining industry according to one embodiment of the present application is shown. Figure 1 As shown, the coal mine automation scheduling method based on the mining industry includes at least steps S110 to S150, which are described in detail as follows:

[0041] In step S110, the status data of the mining equipment is collected by a sensor device.

[0042] like Figure 2 As shown, in one embodiment of the present application, the state data of the mining equipment is collected by a sensor device, including:

[0043] S210, determine the parameters that need to be monitored based on the type and operating characteristics of the mining equipment

[0044] S220, selecting a corresponding sensor type according to different monitoring parameters;

[0045] S230: Collect status data of the mining equipment according to a sensor device corresponding to the sensor type.

[0046] In one embodiment of the present application, in the monitoring and management of mining equipment, it is crucial to accurately determine monitoring parameters, select appropriate sensor types, and effectively collect equipment status data.

[0047] The mining equipment in this embodiment includes but is not limited to:

[0048] 1. Mining equipment: such as excavators, loaders, dump trucks, etc., need to pay attention to their engine status (such as oil temperature, water temperature, speed), hydraulic system pressure, vibration, fuel consumption, etc.

[0049] 2. Crushing and screening equipment: such as crushers, vibrating screens, etc., need to monitor their bearing temperature, vibration amplitude, motor current and voltage, etc.

[0050] 3. Conveying equipment: such as belt conveyors, scraper conveyors, etc., need to pay attention to belt tension, motor load, bearing temperature and lubrication conditions, etc.

[0051] 4. Lifting and transportation equipment: such as mine hoists, ropeways, etc., need to monitor their wire rope tension, motor operating status, braking system performance, etc.

[0052] Depending on the monitoring parameters, select the corresponding sensor type. Specifically: Temperature sensors are used to monitor the temperature of key equipment components, such as engines and bearings. Pressure sensors are suitable for pressure monitoring of hydraulic systems, pneumatic systems, etc. Vibration sensors are used to detect the vibration of equipment and determine whether there is abnormal wear or looseness. Speed ​​sensors monitor the rotation speed of equipment, such as engine speed. Current / voltage sensors are used to monitor current and voltage changes in electrical equipment such as motors. Oil / liquid level sensors monitor the liquid levels of oil tanks, water tanks, etc. to ensure the normal operation of lubrication and cooling systems.

[0053] The status data of the mining equipment is collected according to the sensor device corresponding to the sensor type. According to the selected sensor type, the corresponding sensor device is configured, such as a temperature sensor probe, a pressure sensor transmitter, a vibration sensor accelerometer, etc. Configure data transmission channels, such as wired networks, wireless networks, etc., to ensure that data can be uploaded to the monitoring center or cloud platform in a timely manner. Through the above steps, real-time monitoring and data analysis of the operating status of mining equipment can be achieved, providing strong support for equipment maintenance, maintenance and fault warning.

[0054] In step S120, the state data is cleaned and standardized to generate standard data.

[0055] In one embodiment of the present application, the state data is cleaned and standardized to generate standard data, including:

[0056] Iterate over each data point in the state data set to check if there are any missing values;

[0057] Generate filling values ​​based on the information of adjacent data points of missing values.

[0058] In one embodiment of the present application, each data point in the data set of the state data is traversed to check whether it is empty or missing. A filling strategy is selected according to the specific situation, such as using statistical values ​​such as the mean, median, mode, etc. for filling, or filling based on an interpolation method of neighboring values. If there are too many missing values ​​or the data quality is affected, you can also choose to delete the rows or columns containing missing values.

[0059] In one embodiment of the present application, the state data is cleaned and standardized to generate standard data, including: using a hash function to identify duplicate records in the data set and deleting them.

[0060] In one embodiment of the present application, a suitable hash function is selected, which can map each record in the data set to a unique hash value. Common hash functions include MD5, SHA-1, SHA-256, etc., which can generate hash values ​​of fixed length. The hash function is applied to each record in the data set to calculate its hash value. The calculated hash value is stored in a new data structure, such as a hash table or a dictionary.

[0061] During the hash value calculation process, if the new hash value is found to already exist in the hash table, it means that the current record is a duplicate of a previous record. The duplicate records can be marked, or other processing can be performed according to business needs, such as deletion, merging, etc.

[0062] In one embodiment of the present application, the target range of normalization can also be determined according to the distribution characteristics of the data and the analysis requirements, and the data can be scaled to the target range using the minimum-maximum normalization formula. The method of data alignment (such as timestamp alignment, time window alignment, etc.) can also be determined according to the needs of time series analysis or comparison. The data is adjusted or interpolated accordingly to ensure that data from different data sources or different time points are aligned in time.

[0063] Optionally, clean and normalize the data into a unified dataset. Merge data from different data sources and ensure data consistency and accuracy.

[0064] Optionally, the processed data can be verified by statistical methods and visualization tools to ensure that the data cleaning and standardization process does not introduce new errors or anomalies.

[0065] Through the above steps, the computer can automatically clean and standardize the mining equipment status data and generate high-quality standard data. These standard data can provide strong support for subsequent data analysis, machine learning model training and decision support.

[0066] In step S130, an alternative scheduling scheme is generated, and a target value is determined according to the alternative scheduling scheme and a preset target function.

[0067] In one embodiment of the present application, generating an alternative scheduling scheme, and determining a target value according to the alternative scheduling scheme and a preset target function include:

[0068] Generate alternative scheduling plans based on the operating data of the mining equipment, and determine the equipment data in each alternative scheduling plan;

[0069] A target value is determined according to the device data and a preset target function.

[0070] In one embodiment of the present application, an alternative scheduling scheme is first generated based on the operating data of the mining equipment, and the equipment data in each alternative scheduling scheme is determined; wherein the equipment data may include the production capacity, working hours, operating costs, maintenance costs, number of executions, energy consumption parameters per unit time, etc. of each equipment when executing the scheduling scheme.

[0071] After obtaining the above data, the production efficiency, operating cost and energy consumption parameters are determined according to the equipment data and the preset objective function. Specifically, the production efficiency Z is determined 1 for:

[0072]

[0073] Where i represents the device ID, n represents the total number of devices; Pi represents the production capacity of the i-th equipment; T i Represents the actual working time of the i-th device.

[0074] In an embodiment of the present application, the operating cost is determined as:

[0075]

[0076] Among them, C i represents the unit time operating cost of the i-th equipment; M j represents the cost of the jth maintenance activity; S j represents the number of times the jth maintenance task is executed; m represents the total number of maintenance tasks.

[0077] In one embodiment of the present application, the energy consumption parameter is determined as:

[0078]

[0079] Among them, E i Represents the energy consumption per unit time of the i-th device.

[0080] After calculating the production efficiency, operating cost and energy consumption parameters, the target value is determined according to the production efficiency, operating cost and energy consumption parameters:

[0081] Z=Z 1 +Z 2 +Z 3

[0082] In coal mine automation scheduling, it is usually necessary to consider multiple objectives at the same time, such as maximizing production efficiency, minimizing operating costs, minimizing energy consumption, balancing equipment loads, etc. These objectives can be solved by multi-objective optimization algorithms. In this embodiment, a scheduling scheme is sought so that the above objective functions achieve the optimal balance under the premise of satisfying the constraints.

[0083] In step S140, constraint conditions are generated according to the standard data.

[0084] In one embodiment of the present application, generating constraint conditions according to the standard data includes:

[0085] Determining a first constraint condition according to the actual production capacity and operation time in the standard data;

[0086] Determining a second constraint condition according to the energy consumption data in the standard data;

[0087] A constraint condition is generated according to the first constraint condition and the second constraint condition.

[0088] In one embodiment of the present application, due to factors such as wear and aging of the equipment during operation, its actual production capacity may show a nonlinear downward trend over time. According to the actual production capacity and operating time in the standard data, the first constraint condition is determined as:

[0089] P i (t)≤P max,i ·(1-δ i (t))

[0090] Among them, P i (t) represents the actual production capacity of the i-th equipment at time t; δ i (t) represents the wear rate or aging rate of the i-th device at time t. In device scheduling, the constraints in this embodiment can be used to describe the nonlinear relationship between the actual production capacity, wear rate, aging rate, etc. of the device over time. For example, after a certain device has been running for a long time, its actual production capacity will gradually decrease. At this time, the constraints in this embodiment can be used to describe this downward trend, thereby ensuring that the scheduling plan is carried out within the capacity of the device.

[0091] In an embodiment of the present application, the energy consumption of a device is usually nonlinearly related to its production efficiency. For example, when a device runs at a higher speed, the energy consumption may increase significantly, but the increase in production efficiency may not be proportional to it. Therefore, based on the energy consumption data in the standard data, the second constraint condition is determined as:

[0092] E i (P i )≤E max,i ·f(P i / P max,i )

[0093] Among them, E i (P i ) indicates that the i-th equipment has a production capacity of P i Energy consumption per hour; E max,i represents the maximum energy consumption of the i-th device; f(P i / P max,i ) represents the nonlinear relationship function between energy consumption and production capacity. In energy consumption management, the constraint conditions of this embodiment can be used to describe the complex relationship between energy consumption and production efficiency, equipment status, etc. For example, in coal mine automation scheduling, it is necessary to ensure that energy consumption is reduced as much as possible while meeting production efficiency. At this time, the constraint conditions of this embodiment can be used to describe the nonlinear relationship between energy consumption and production efficiency, equipment status, etc., so as to formulate a more reasonable energy consumption management strategy.

[0094] In an embodiment of the present application, comprehensive processing is performed according to the first constraint condition and the second constraint condition to generate a constraint condition. In resource allocation, the constraint condition of this embodiment can be used to describe the complex relationship between resource allocation and production efficiency, energy consumption, etc. For example, in the process of coal mining, it is necessary to reasonably allocate human, material and other resources to ensure maximum production efficiency while reducing energy consumption and costs. At this time, the constraint condition of this embodiment can be used to describe the nonlinear relationship between resource allocation and production efficiency, energy consumption, etc., so as to optimize the resource allocation plan.

[0095] In step S150, an applicable scheduling scheme is selected according to the target value and constraint conditions.

[0096] In one embodiment of the present application, according to the target value and the constraint condition, selecting an applicable scheduling scheme includes:

[0097] Based on the constraint condition, determining first scheduling data within the constraint condition range;

[0098] Determine the second scheduling data corresponding to the minimum target value;

[0099] Target data is selected from the intersection of the first scheduling data and the second scheduling data as the scheduling solution.

[0100] In one embodiment of the present application, based on the constraint conditions, the first scheduling data within the constraint conditions is determined; the second scheduling data corresponding to the minimum target value is determined; and then, based on the intersection of the first scheduling data and the second scheduling data, the target data is selected as the scheduling scheme.

[0101] Specifically, in one embodiment of the present application, each device has its maximum production capacity, and the scheduling plan needs to ensure that the device operates within its capacity. For example, mining production usually has time constraints, such as shifts, working days, etc., and the scheduling plan needs to meet these time requirements; including the limited nature of human and material resources, the scheduling plan needs to ensure optimization under resource constraints; such as the nonlinear relationship between equipment wear, energy consumption and production efficiency, these constraints need to be described and processed through appropriate models and methods.

[0102] In one embodiment of the present application, improving production efficiency is an important goal of mining industry scheduling, which can be achieved by optimizing equipment scheduling, reducing waiting time and improving equipment utilization; reducing operating costs is another key goal, including reducing energy consumption, reducing maintenance costs and optimizing human resource allocation; ensuring equipment load balance, avoiding overloading of some equipment while other equipment is idle, thereby improving the service life and efficiency of the overall equipment.

[0103] In the technical solution of the present application, the status data of mining equipment is collected by a sensor device; the status data is cleaned and standardized to generate standard data; an alternative scheduling scheme is generated, and the target value is determined according to the alternative scheduling scheme and a preset objective function; constraints are generated according to the standard data; and an applicable scheduling scheme is selected according to the target value and constraints. The above process accurately collects the status data of mining equipment through a sensor device, and generates high-quality standard data after cleaning and standardization. Based on these data, the system can generate multiple alternative scheduling schemes and evaluate their target values ​​according to the preset objective function. At the same time, standard data is also used to set constraints to ensure the feasibility of the scheduling scheme. Finally, the system selects the optimal scheduling scheme based on the target value and constraints to achieve efficient and safe operation of mining equipment and improve overall operational efficiency.

[0104] The following describes an embodiment of the device of the present application, which can be used to execute the method for automated scheduling of coal mines based on the mining industry in the above-mentioned embodiment of the present application. It can be understood that the device can be a computer program (including program code) running in a computer device, for example, the device is an application software; the device can be used to execute the corresponding steps in the method provided in the embodiment of the present application. For details not disclosed in the embodiment of the device of the present application, please refer to the embodiment of the method for automated scheduling of coal mines based on the mining industry in the above-mentioned embodiment of the present application.

[0105] Figure 3 A block diagram of a coal mine automation dispatching system based on the mining industry according to an embodiment of the present application is shown.

[0106] Reference Figure 3 As shown, according to an embodiment of the present application, a coal mine automation dispatching system based on the mining industry includes:

[0107] A collection unit 310 is used to collect status data of mining equipment through a sensor device;

[0108] A cleaning unit 320, used for cleaning and standardizing the state data to generate standard data;

[0109] A scheme unit 330 is used to generate an alternative scheduling scheme and determine a target value according to the alternative scheduling scheme and a preset target function;

[0110] A condition unit 340, configured to generate a constraint condition according to the standard data;

[0111] The scheduling unit 350 is used to select an applicable scheduling scheme according to the target value and constraint conditions.

[0112] In the present application, based on the aforementioned scheme, the generation of alternative scheduling schemes and the determination of target values ​​according to the alternative scheduling schemes and a preset objective function include: generating alternative scheduling schemes according to the operating data of the mining equipment, and determining the equipment data in each alternative scheduling scheme; determining the target value according to the equipment data and a preset objective function.

[0113] In the present application, based on the aforementioned scheme, the generation of constraint conditions according to the standard data includes: determining a first constraint condition according to the actual production capacity and operating time in the standard data; determining a second constraint condition according to the energy consumption data in the standard data; and generating constraint conditions according to the first constraint condition and the second constraint condition.

[0114] In the present application, based on the aforementioned scheme, the selection of an applicable scheduling scheme according to the target value and the constraints includes: determining the first scheduling data within the constraint range based on the constraints; determining the second scheduling data corresponding to the minimum target value; and selecting the target data from the intersection of the first scheduling data and the second scheduling data as the scheduling scheme.

[0115] In the present application, based on the aforementioned scheme, the status data of mining equipment is collected through a sensor device, including: determining the parameters that need to be monitored according to the type and operating characteristics of the mining equipment; selecting the corresponding sensor type according to different monitoring parameters; and collecting the status data of the mining equipment according to the sensor device corresponding to the sensor type.

[0116] In the present application, based on the aforementioned scheme, the status data is cleaned and standardized to generate standard data, including: traversing each data point in the data set of the status data to check whether there are missing values; generating fill values ​​for filling based on the information of the adjacent data points of the missing values.

[0117] In the present application, based on the above-mentioned solution, the state data is cleaned and standardized to generate standard data, including: using a hash function to identify duplicate records in the data set and deleting them.

[0118] In the technical solution of the present application, the status data of mining equipment is collected by a sensor device; the status data is cleaned and standardized to generate standard data; an alternative scheduling scheme is generated, and the target value is determined according to the alternative scheduling scheme and a preset objective function; constraints are generated according to the standard data; and an applicable scheduling scheme is selected according to the target value and constraints. The above process accurately collects the status data of mining equipment through a sensor device, and generates high-quality standard data after cleaning and standardization. Based on these data, the system can generate multiple alternative scheduling schemes and evaluate their target values ​​according to the preset objective function. At the same time, standard data is also used to set constraints to ensure the feasibility of the scheduling scheme. Finally, the system selects the optimal scheduling scheme based on the target value and constraints to achieve efficient and safe operation of mining equipment and improve overall operational efficiency.

[0119] Figure 4 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present application is shown.

[0120] It should be noted that the computer system 400 of the electronic device shown in the figure is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0121] The computer system 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 402 or the program loaded from the storage part 408 to the random access memory (RAM) 403, such as executing the method described in the above embodiment. In the RAM 403, various programs and data required for system operation are also stored. The CPU 401, the ROM 402 and the RAM 403 are connected to each other through the bus 404. The input / output (I / O) interface 405 is also connected to the bus 404.

[0122] The following components are connected to the I / O interface 405: an input section 406 including a keyboard, a mouse, etc.; an output section 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed so that a computer program read therefrom is installed into the storage section 408 as needed.

[0123] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 409, and / or installed from a removable medium 411. When the computer program is executed by a central processing unit (CPU) 401, various functions defined in the system of the present application are executed.

[0124] It should be noted that the computer-readable medium shown in the embodiment of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by an instruction execution system, device or device or used in combination with it. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, wherein a computer-readable computer program is carried. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0125] The flowchart and block diagram in the accompanying drawings illustrate the possible architecture, functions and operations of the system, method and computer program product according to various embodiments of the present application. Wherein, each box in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0126] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. The names of these units do not, in some cases, constitute limitations on the units themselves.

[0127] According to one aspect of the present application, a computer program product or a computer program is provided, the computer program product or the computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the methods provided in the above-mentioned various optional implementations.

[0128] As another aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by an electronic device, the electronic device implements the method described in the above embodiment.

[0129] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiments of the present application, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0130] Through the description of the above implementation methods, it is easy for those skilled in the art to understand that the example implementation methods described here can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the implementation methods of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation methods of the present application.

[0131] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not disclosed in the present application.

[0132] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A coal mine automation dispatching method based on the mining industry, characterized in that: include: Collect status data of mining equipment through sensor devices; Cleaning and standardizing the status data to generate standard data; Generate an alternative scheduling scheme, and determine a target value according to the alternative scheduling scheme and a preset target function; generating constraint conditions according to the standard data; According to the target value and constraints, an applicable scheduling scheme is selected.

2. The method according to claim 1, characterized in that Generating an alternative scheduling scheme, and determining a target value according to the alternative scheduling scheme and a preset target function, including: Generate alternative scheduling plans based on the operating data of the mining equipment, and determine the equipment data in each alternative scheduling plan; A target value is determined according to the device data and a preset target function.

3. The method according to claim 1, characterized in that Generating constraint conditions according to the standard data includes: Determining a first constraint condition according to the actual production capacity and operation time in the standard data; Determining a second constraint condition according to the energy consumption data in the standard data; A constraint condition is generated according to the first constraint condition and the second constraint condition.

4. The method according to claim 1, characterized in that: According to the target value and constraints, select an applicable scheduling solution, including: Based on the constraint condition, determining first scheduling data within the constraint condition range; Determine the second scheduling data corresponding to the minimum target value; Target data is selected from the intersection of the first scheduling data and the second scheduling data as the scheduling solution.

5. The method according to claim 1, characterized in that The status data of mining equipment is collected through sensor devices, including: Determine the parameters that need to be monitored based on the type and operating characteristics of mining equipment; Select the corresponding sensor type according to the different monitoring parameters; The status data of the mining equipment is collected according to the sensor device corresponding to the sensor type.

6. The method according to claim 1, characterized in that The state data is cleaned and standardized to generate standard data, including: Iterate over each data point in the state data set to check if there are any missing values; Generate filling values ​​based on the information of adjacent data points of missing values.

7. The method according to claim 1, characterized in that The state data is cleaned and standardized to generate standard data, including: Use hash functions to identify duplicate records in a dataset and remove them.

8. A coal mine automation dispatching system based on the mining industry, characterized in that: include: A collection unit, used for collecting status data of mining equipment through a sensor device; A cleaning unit, used for cleaning and standardizing the status data to generate standard data; A scheme unit, used to generate an alternative scheduling scheme and determine a target value according to the alternative scheduling scheme and a preset target function; A condition unit, used for generating a constraint condition according to the standard data; The scheduling unit is used to select an applicable scheduling scheme according to the target value and constraint conditions.

9. A computer readable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the coal mine automation scheduling method based on the mining industry as described in any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: include: one or more processors; A storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, enables the one or more processors to implement the coal mine automation scheduling method based on the mining industry as described in any one of claims 1 to 7.

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