A coal mining machine control method, device, system and storage medium

Abstract

This application discloses a coal mining machine control method, device, system, and storage medium. The method includes: acquiring the operating parameters of each coal mining machine; determining the minimum power required by each coal mining machine based on the operating parameters; and adjusting the operating parameters of each coal mining machine according to the minimum power required. The solution provided in this application automatically acquires the operating parameters of each coal mining machine, determines the minimum power required by the corresponding coal mining machine, and adjusts the operating parameters of each coal mining machine to ensure that the power supply intensity of the coal mining machine is met and to ensure the normal operation of the coal mining machine.

Description

Technical Field

[0001] This application relates to the field of mechanical control technology, and in particular to a coal mining machine control method, device, system and storage medium. Background Technology

[0002] In coal mining, the reliability and stability of the coal mining machine, as the equipment directly engaged in coal extraction, are paramount. Because coal mines often have multiple shafts operating under varying conditions and requiring different power supplies, resulting in multiple longwall faces and multiple coal mining machines, applying the same power intensity to all machines could lead to insufficient power and prevent normal production. For example, some machines might be cutting harder coal seams while others are not; applying the same power intensity to these machines might result in insufficient power for the machines cutting harder coal seams. Therefore, providing a coal mining machine control method that automatically adjusts the power supply intensity for different machines to ensure their normal operation is a pressing technical problem. Summary of the Invention

[0003] This application provides a coal mining machine control method, device, system, and storage medium for automatically adjusting the power supply intensity of different coal mining machines, thereby ensuring the normal operation of the coal mining machines.

[0004] This application provides a coal mining machine control method, including:

[0005] Obtain the operating parameters of each coal mining machine;

[0006] The minimum power required for each coal mining machine is determined based on its operating parameters.

[0007] The operating parameters of each coal mining machine are adjusted according to the minimum power required by each machine.

[0008] The beneficial effects of this application are as follows: by automatically acquiring the operating parameters of each coal mining machine, determining the minimum power required by the corresponding coal mining machine based on the operating parameters, and then adjusting the operating parameters of each coal mining machine based on the minimum power of each coal mining machine, so as to ensure that the power supply intensity of the coal mining machine is met and the normal operation of the coal mining machine is guaranteed.

[0009] In one embodiment, the operating parameters of the coal mining machine include the amplitude and vibration frequency of the coal mining machine, and determining the minimum power required for each coal mining machine based on the operating parameters of each coal mining machine includes:

[0010] The working intensity of the coal mining machine is determined based on its amplitude and vibration frequency.

[0011] Determine the minimum power required for each coal mining machine based on its working intensity.

[0012] In one embodiment, the operating parameters of the coal mining machine include the working image of the coal mining machine, and determining the minimum power required for each coal mining machine based on the operating parameters of each coal mining machine includes:

[0013] The working intensity of the coal mining machine is determined based on the working images of the coal mining machine.

[0014] Determine the minimum power required for each coal mining machine based on its working intensity.

[0015] In one embodiment, determining the minimum power required by each coal mining machine based on its operating intensity includes:

[0016] By consulting a pre-defined table of working intensity and power ranges, the minimum power required for each coal mining machine can be determined.

[0017] In one embodiment, adjusting the operating parameters of each coal mining machine according to the minimum power required by each coal mining machine includes:

[0018] Adjust the operating power of each coal mining machine to the minimum power required by each coal mining machine.

[0019] In one embodiment, after adjusting the operating parameters of each coal mining machine according to the minimum power required by each coal mining machine, the method further includes:

[0020] The optimal operating power of each coal mining machine is determined based on the total operating power of each coal mining machine, the amount of coal mined by each coal mining machine at different power levels, and the electricity cost of each coal mining machine at different power levels. The optimal operating power is greater than the minimum power required by each coal mining machine.

[0021] The operating parameters of each coal mining machine are adjusted according to its optimal operating power.

[0022] In one embodiment, determining the optimal operating power of each coal mining machine based on the total operating power of all coal mining machines, the coal mining volume of each coal mining machine at different power levels, and the electricity cost of each coal mining machine at different power levels includes:

[0023] The optimal operating power of each coal mining machine is determined using the following model:

[0024]

[0025] Where i = 1, ..., n;

[0026]

[0027] Where L is the mining volume per unit cost; a i Let P be the operating condition coefficient for the i-th coal mining machine, ranging from 0.7 to 1.1 depending on the operating conditions; i Let be the power of the i-th coal mining machine; n be the number of coal mining machines; b be the electricity price for the current period; and c be other fixed costs besides electricity costs. Let be the minimum power required for the i-th coal mining machine; Let P be the maximum power of the i-th coal mining machine; P is the minimum mining output per unit time for all coal mining machines.

[0028] This application also provides a coal mining machine control device, including:

[0029] The acquisition module is used to acquire the operating parameters of each coal mining machine;

[0030] The first determining module is used to determine the minimum power required by each coal mining machine based on the operating parameters of each coal mining machine;

[0031] The first adjustment module is used to adjust the operating parameters of each coal mining machine according to the minimum power required by each coal mining machine.

[0032] In one embodiment, the operating parameters of the coal mining machine include the amplitude and vibration frequency of the coal mining machine, and the first determining module includes:

[0033] The first determining submodule is used to determine the working intensity of the coal mining machine based on its amplitude and vibration frequency.

[0034] The second determining submodule is used to determine the minimum power required by each coal mining machine based on the working intensity of the coal mining machine.

[0035] In one embodiment, the operating parameters of the coal mining machine include the working image of the coal mining machine, and the first determining module includes:

[0036] The third determining submodule is used to determine the working intensity of the coal mining machine based on the working image of the coal mining machine;

[0037] The second determining submodule is used to determine the minimum power required by each coal mining machine based on the working intensity of the coal mining machine.

[0038] In one embodiment, the fourth determining submodule is further configured to:

[0039] By consulting a pre-defined table of working intensity and power ranges, the minimum power required for each coal mining machine can be determined.

[0040] In one embodiment, the first adjustment module includes:

[0041] Adjust the operating power of each coal mining machine to the minimum power required by each coal mining machine.

[0042] In one embodiment, the apparatus further includes:

[0043] The second determining module is also used to determine the optimal operating power of each coal mining machine based on the total operating power of each coal mining machine, the amount of coal mined by each coal mining machine at different power levels, and the electricity cost of each coal mining machine at different power levels, wherein the optimal operating power is greater than the minimum power required by each coal mining machine.

[0044] The second adjustment module is used to adjust the operating parameters of each coal mining machine according to the optimal operating power of each coal mining machine.

[0045] In one embodiment, the second determining module determines the optimal operating power of each coal mining machine using the following model:

[0046]

[0047] Where i = 1, ..., n;

[0048]

[0049] Where L is the mining volume per unit cost; a i Let P be the operating condition coefficient for the i-th coal mining machine, ranging from 0.7 to 1.1 depending on the operating conditions; i Let be the power of the i-th coal mining machine; n be the number of coal mining machines; b be the electricity price for the current period; and c be other fixed costs besides electricity costs. Let be the minimum power required for the i-th coal mining machine; Let P be the maximum power of the i-th coal mining machine; P is the minimum mining output per unit time for all coal mining machines.

[0050] This application also provides a coal mining machine control system, including:

[0051] At least one processor; and,

[0052] A memory communicatively connected to the at least one processor; wherein,

[0053] The memory stores instructions that can be executed by the at least one processor to implement the coal mining machine control method described in any of the above embodiments.

[0054] This application also provides a computer-readable storage medium, which, when the instructions in the storage medium are executed by the processor corresponding to the coal mining machine control system, enables the coal mining machine control system to implement the coal mining machine control method described in any of the above embodiments.

[0055] Other features and advantages of this application will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the application. The objectives and other advantages of this application may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0056] The technical solution of this application will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0057] The accompanying drawings are provided to further illustrate the present application and form part of the specification. They are used together with the embodiments of the present application to explain the application and do not constitute a limitation thereof. In the drawings:

[0058] Figure 1 This is a flowchart of a coal mining machine control method according to an embodiment of this application;

[0059] Figure 2 This is a structural diagram of a coal mining machine control device according to an embodiment of this application;

[0060] Figure 3 This is a schematic diagram of the hardware structure of a coal mining machine control system according to one embodiment of this application. Detailed Implementation

[0061] The preferred embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit this application.

[0062] Figure 1 This is a flowchart of a coal mining machine control method according to an embodiment of this application, such as... Figure 1 As shown, the method can be implemented as follows: S101-S103:

[0063] In step S101, the operating parameters of each coal mining machine are obtained;

[0064] In step S102, the minimum power required by each coal mining machine is determined based on the operating parameters of each coal mining machine;

[0065] In step S103, the operating parameters of each coal mining machine are adjusted according to the minimum power required by each coal mining machine.

[0066] In this application, the operating parameters of each coal mining machine are first obtained. Since coal mines often have multiple shafts operating, meaning multiple fully mechanized mining faces and multiple coal mining machines, and the operating conditions and required power supplies differ between shafts, the operating parameters of each coal mining machine are collected during normal operation to determine the working conditions of each machine. These operating parameters include the working image of the coal mining machine, the amplitude and frequency of its vibration, the cutting speed, and the output power of the cutting motor.

[0067] Then, the minimum power required for each coal mining machine is determined based on its operating parameters. To ensure that each coal mining machine can complete its production work normally, the working intensity of the current coal mining machine needs to be determined according to its operating parameters. The working intensity can be determined by dividing the overall working intensity of the coal mining machine into different levels, or by dividing the working intensity into different levels according to different work types. In one embodiment of this application, the working intensity of the coal mining machine is determined based on its amplitude and vibration frequency. Specifically, the corresponding vibration frequency and amplitude are collected by sensors installed on different components. For example, when cutting the coal face at the actual working face, the amplitude and vibration frequency are measured by sensors and strain gauges installed on the rocker arm of the coal mining machine. Since the amplitude is larger and the vibration frequency is lower when cutting harder coal, the correspondence between the amplitude and vibration frequency of the coal mining machine and its working intensity can be predetermined, and the corresponding working intensity of the coal mining machine can be determined through this correspondence. In another embodiment of this application, the working intensity of the coal mining machine is determined based on the working images of the coal mining machine. Working images of the coal mining machine, captured by a camera, are acquired in real time every 5 seconds. Then, based on image recognition, the working type of the coal mining machine is determined, such as cutting or transporting, and the corresponding working level. For example, the cutting speed and cutting volume of the coal mining machine are determined through working images, and the hardness of the coal body is determined by a preset correspondence between cutting speed and cutting volume, thus determining the cutting level. The higher the cutting level, the greater the corresponding working intensity and the greater the power required. For transporting, the transport volume of the coal mining machine can be determined based on image recognition. The greater the transport volume in the same time period, the higher the transport level, the greater the corresponding working intensity and the greater the power required. Finally, the current working type and corresponding level of the coal mining machine are determined as the working intensity of the coal mining machine under the current working conditions. After determining the working intensity of the coal mining machine, the minimum power of each coal mining machine is determined by querying a pre-stored correspondence table of working intensity and corresponding working power range.

[0068] The operating parameters of each coal mining machine are adjusted according to the minimum power required by each machine. To ensure efficient energy utilization, in one embodiment of this application, the operating power of each coal mining machine is adjusted to the minimum power required by each machine. In another embodiment of this application, the optimal operating power of each coal mining machine is determined based on the total operating power of each machine, the amount of coal mined at different power levels, and the electricity cost at different power levels. This optimal operating power is greater than the minimum power required by each machine, and the operating parameters of each machine are adjusted based on its optimal operating power. Specifically, the optimal operating power of each coal mining machine is determined using the following model:

[0069]

[0070] Where i = 1, ..., n;

[0071]

[0072] Where L is the mining volume per unit cost; a i Let P be the operating condition coefficient for the i-th coal mining machine, ranging from 0.7 to 1.1 depending on the operating conditions; i Let be the power of the i-th coal mining machine; n be the number of coal mining machines; b be the electricity price for the current period; and c be other fixed costs besides electricity costs. Let be the minimum power required for the i-th coal mining machine; Let P be the maximum power of the i-th coal mining machine; P is the minimum mining output per unit time for all coal mining machines.

[0073] The beneficial effects of this application are as follows: by automatically acquiring the operating parameters of each coal mining machine, determining the minimum power required by the corresponding coal mining machine based on the operating parameters, and then adjusting the operating parameters of each coal mining machine based on the minimum power of each coal mining machine, so as to ensure that the power supply intensity of the coal mining machine is met and the normal operation of the coal mining machine is guaranteed.

[0074] In one embodiment, the operating parameters of the coal mining machine include the amplitude and vibration frequency of the coal mining machine, and the above step S102 can be implemented as the following steps A1-A2:

[0075] In step A1, the working intensity of the coal mining machine is determined based on its amplitude and vibration frequency.

[0076] In step A2, the minimum power required for each coal mining machine is determined based on the working intensity of the coal mining machine.

[0077] In this embodiment, the working intensity of the coal mining machine is determined based on its amplitude and vibration frequency. The corresponding vibration frequency and amplitude are collected by sensors installed on different components. For example, during actual coal face cutting, the amplitude and vibration frequency are measured using sensors and strain gauges installed on the rocker arm of the coal mining machine. Since the amplitude is greater and the vibration frequency is lower when cutting harder coal, the correlation between the amplitude and vibration frequency of the coal mining machine and its working intensity can be predetermined, and the corresponding working intensity of the coal mining machine can be determined based on this correlation.

[0078] The correspondence can be a pre-stored table showing the relationship between the amplitude and frequency of the coal mining machine and its working intensity. This table is based on five levels of coal seam hardness (f): extremely soft coal seam (f < 0.8), soft coal seam (0.8 ≤ f < 1.5), medium-hard coal seam (1.5 ≤ f < 3.0), hard coal seam (3.0 ≤ f < 4.0), and extremely hard coal seam (f ≥ 4.0). The working intensity of the coal mining machine is then divided into five levels, and the amplitude and frequency of the coal mining machine under different working intensities are obtained experimentally to determine the minimum output power of the machine at each working intensity. Alternatively, the correspondence can be a pre-established working intensity prediction model. This model can be a regression model or a neural network model. By pre-collecting the operating parameters of the coal mining machine under different working intensities, including at least coal seam hardness, amplitude, and frequency of the coal mining machine, a corresponding prediction model is pre-established. The collected parameters are then input into this model to output the minimum output power of the coal mining machine at each working intensity.

[0079] Because different coal mining machines exhibit varying amplitudes and frequencies under the same working intensity, this embodiment establishes a correspondence between the initial amplitude and frequency of each coal mining machine and its working intensity through several sets of experiments. The working intensity is determined based on this correspondence. As the coal mining machine's operation accumulates, experimental data and actual operational data are input into a working intensity prediction model for training. When the proportion of predictions from the model that match the results determined by the correspondence table within a preset time period exceeds a preset threshold, the preset prediction model is activated to predict the working intensity of the coal mining machine.

[0080] In this embodiment, a preset correspondence table between working intensity and working power range is also stored. Based on this correspondence table, the minimum power required for each coal mining machine can be determined to ensure that the coal mining machine can complete the work under the current working intensity.

[0081] In one embodiment, the operating parameters of the coal mining machine include the working image of the coal mining machine, and the above step S102 can be implemented as the following steps B1-B2:

[0082] In step B1, the working intensity of the coal mining machine is determined based on the working image of the coal mining machine;

[0083] In step B2, the minimum power required for each coal mining machine is determined based on the working intensity of the coal mining machine.

[0084] In this embodiment, the working intensity of the coal mining machine is determined based on the working images of the coal mining machine. Specifically, working images of the coal mining machine are acquired at preset time intervals, for example, every 5 seconds, working images of the coal mining machine captured by a camera are acquired in real time. Then, the working status of the coal mining machine is determined based on image recognition. The working status of the coal mining machine includes the working type of the coal mining machine, such as cutting and transportation, and also includes the level of the corresponding working type. For example, for cutting work, the greater the hardness of the coal body, the higher the cutting level, the greater the corresponding working intensity, and the greater the power required. In this embodiment, the cutting speed and cutting amount of the coal mining machine can be determined by the working images, and the cutting level and working intensity of the coal mining machine can be determined by a preset correspondence between cutting speed and cutting amount. For transportation work, the greater the transportation volume in the same time period, the higher the transportation level, the greater the corresponding working intensity, and the greater the power required. In this embodiment, the transportation volume of the coal mining machine can be determined based on image recognition. Finally, the current working type and corresponding level of the coal mining machine are determined as the working intensity of the coal mining machine under the current working condition.

[0085] Based on the working intensity of the coal mining machines, the minimum power required for each machine is determined. Since corresponding working intensities are pre-set for different work types according to their respective levels, and the corresponding output power is stored, the total working intensity and minimum power required for each coal mining machine can be obtained by consulting a pre-set table of working intensity and power ranges, based on the current working intensity of the machine.

[0086] In one embodiment, step A2 or B2 above can be implemented as follows:

[0087] By consulting a pre-defined table of working intensity and power ranges, the minimum power required for each coal mining machine can be determined.

[0088] In this embodiment, the working intensity and corresponding working power range of the coal mining machine are stored in advance as a correspondence table. The working intensity of the coal mining machine can be the overall working intensity or the working intensity of different working types. By querying the correspondence table, the minimum power of each coal mining machine can be determined.

[0089] In one embodiment, step S103 can be implemented as follows:

[0090] Adjust the operating power of each coal mining machine to the minimum power required by each coal mining machine.

[0091] In this embodiment, in order to achieve efficient energy utilization while ensuring the normal operation of the coal mining machine, the operating power of each coal mining machine is adjusted to the minimum power required by each coal mining machine.

[0092] In one embodiment, after step S103 above, the method may also be implemented as steps C1-C2:

[0093] In step C1, the optimal operating power of each coal mining machine is determined based on the total operating power of each coal mining machine, the amount of coal mined by each coal mining machine at different power levels, and the electricity cost of each coal mining machine at different power levels. The optimal operating power is greater than the minimum power required by each coal mining machine.

[0094] In step C2, the operating parameters of each coal mining machine are adjusted according to the optimal operating power of each coal mining machine.

[0095] In this embodiment, to ensure the completion of the overall coal mining task while achieving efficient energy utilization, the optimal operating power of each coal mining machine is determined based on the total operating power of each machine, the coal mining volume of each machine at different power levels, and the electricity cost of each machine at different power levels. The optimal operating power is greater than the minimum power required by each machine. Specifically, the optimal operating power of each coal mining machine is determined using the following model:

[0096]

[0097] Where i = 1, ..., n;

[0098]

[0099] Where L is the mining volume per unit cost; a i Let P be the operating condition coefficient for the i-th coal mining machine, ranging from 0.7 to 1.1 depending on the operating conditions; i Let be the power of the i-th coal mining machine; n be the number of coal mining machines; b be the electricity price for the current period; and c be other fixed costs besides electricity costs. Let be the minimum power required for the i-th coal mining machine; Let P be the maximum power of the i-th coal mining machine; P is the minimum mining output per unit time for all coal mining machines.

[0100] Then, the operating parameters of each coal mining machine are adjusted according to its optimal operating power so that the coal mining machine operates at its optimal operating power.

[0101] In one embodiment, step C1 above can also be implemented as the following steps:

[0102] The optimal operating power of each coal mining machine is determined using the following model:

[0103]

[0104] Where i = 1, ..., n;

[0105]

[0106] Where L is the mining volume per unit cost; a i Let P be the operating condition coefficient for the i-th coal mining machine, ranging from 0.7 to 1.1 depending on the operating conditions; i Let be the power of the i-th coal mining machine; n be the number of coal mining machines; b be the electricity price for the current period; and c be other fixed costs besides electricity costs. Let be the minimum power required for the i-th coal mining machine; Let P be the maximum power of the i-th coal mining machine; P is the minimum mining output per unit time for all coal mining machines.

[0107] In one embodiment, step C1 above can also be implemented as the following steps:

[0108] The optimal operating power of each coal mining machine is determined using the following model:

[0109]

[0110] Where i = 1, ..., n;

[0111]

[0112] Where C represents the mining cost per unit time for all coal mining machines; a i Let P be the operating condition coefficient for the i-th coal mining machine, ranging from 0.7 to 1.1 depending on the operating conditions; i Let be the power of the i-th coal mining machine; n be the number of coal mining machines; b be the electricity price for the current period; and c be other fixed costs besides electricity costs. Let be the minimum power required for the i-th coal mining machine; Let P be the maximum power of the i-th coal mining machine; P is the minimum mining output per unit time for all coal mining machines.

[0113] Figure 2 This is a structural diagram of a coal mining machine control device according to one embodiment of this application, as shown below. Figure 2 As shown, it includes:

[0114] The acquisition module 201 is used to acquire the operating parameters of each coal mining machine;

[0115] The first determining module 202 is used to determine the minimum power required by each coal mining machine based on the operating parameters of each coal mining machine;

[0116] The first adjustment module 203 is used to adjust the operating parameters of each coal mining machine according to the minimum power required by each coal mining machine.

[0117] In one embodiment, the operating parameters of the coal mining machine include the amplitude and vibration frequency of the coal mining machine, and the first determining module includes:

[0118] The first determining submodule is used to determine the working intensity of the coal mining machine based on its amplitude and vibration frequency.

[0119] The second determining submodule is used to determine the minimum power required by each coal mining machine based on the working intensity of the coal mining machine.

[0120] In one embodiment, the operating parameters of the coal mining machine include the working image of the coal mining machine, and the first determining module includes:

[0121] The third determining submodule is used to determine the working intensity of the coal mining machine based on the working image of the coal mining machine;

[0122] The second determining submodule is used to determine the minimum power required by each coal mining machine based on the working intensity of the coal mining machine.

[0123] In one embodiment, the fourth determining submodule is further configured to:

[0124] By consulting a pre-defined table of working intensity and power ranges, the minimum power required for each coal mining machine can be determined.

[0125] In one embodiment, the first adjustment module includes:

[0126] Adjust the operating power of each coal mining machine to the minimum power required by each coal mining machine.

[0127] In one embodiment, the apparatus further includes:

[0128] The second determining module is also used to determine the optimal operating power of each coal mining machine based on the total operating power of each coal mining machine, the amount of coal mined by each coal mining machine at different power levels, and the electricity cost of each coal mining machine at different power levels, wherein the optimal operating power is greater than the minimum power required by each coal mining machine.

[0129] The second adjustment module is used to adjust the operating parameters of each coal mining machine according to the optimal operating power of each coal mining machine.

[0130] In one embodiment, the second determining module determines the optimal operating power of each coal mining machine using the following model:

[0131]

[0132] Where i = 1, ..., n;

[0133]

[0134] Where L is the mining volume per unit cost; a i Let P be the operating condition coefficient for the i-th coal mining machine, ranging from 0.7 to 1.1 depending on the operating conditions; i Let be the power of the i-th coal mining machine; n be the number of coal mining machines; b be the electricity price for the current period; and c be other fixed costs besides electricity costs. Let be the minimum power required for the i-th coal mining machine; Let P be the maximum power of the i-th coal mining machine; P is the minimum mining output per unit time for all coal mining machines.

[0135] Figure 3 This is a schematic diagram of the hardware structure of a coal mining machine control system according to one embodiment of this application, as shown below. Figure 3 As shown, the vehicle diagnostic system includes:

[0136] At least one processor 320; and,

[0137] Memory 304 communicatively connected to the at least one processor 320; wherein,

[0138] The memory 304 stores instructions that can be executed by the at least one processor 320 to implement the coal mining machine control method described in any of the above embodiments.

[0139] Reference Figure 3 The coal mining machine control system 300 may include one or more of the following components: processing component 302, memory 304, power supply component 306, multimedia component 308, audio component 310, input / output (I / O) interface 312, sensor component 314, and communication component 316.

[0140] Processing component 302 typically controls the overall operation of the coal mining machine control system 300. Processing component 302 may include one or more processors 320 to execute instructions to complete all or part of the steps of the methods described above. Furthermore, processing component 302 may include one or more modules to facilitate interaction between processing component 302 and other components. For example, processing component 302 may include a multimedia module to facilitate interaction between multimedia component 308 and processing component 302.

[0141] Memory 304 is configured to store various types of data to support the operation of the coal mining machine control system 300. Examples of this data include instructions for any application or method operating on the coal mining machine control system 300, such as text, images, videos, etc. Memory 304 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0142] Power supply component 306 provides power to various components of the coal mining machine control system 300. Power supply component 306 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the on-board control system 300.

[0143] The multimedia component 308 includes a screen that provides an output interface between the coal mining machine control system 300 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of touch or swipe actions but also the duration and pressure associated with the touch or swipe operation. In some embodiments, the multimedia component 308 may also include a front-facing camera and / or a rear-facing camera. When the coal mining machine control system 300 is in an operating mode, such as a shooting mode or a video mode, the front-facing camera and / or the rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0144] Audio component 310 is configured to output and / or input audio signals. For example, audio component 310 includes a microphone (MIC) configured to receive external audio signals when the coal mining machine control system 300 is in an operating mode, such as alarm mode, recording mode, voice recognition mode, and voice output mode. The received audio signals may be further stored in memory 304 or transmitted via communication component 316. In some embodiments, audio component 310 also includes a speaker for outputting audio signals.

[0145] I / O interface 312 provides an interface between processing component 302 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.

[0146] Sensor assembly 314 includes one or more sensors for providing status assessments of various aspects of the coal mining machine control system 300. For example, sensor assembly 314 may include a sound sensor. Additionally, sensor assembly 314 can detect the on / off state of the coal mining machine control system 300, the relative positioning of components (e.g., the display and keypad of the coal mining machine control system 300), the operating status of the coal mining machine control system 300 or its components, the orientation or acceleration / deceleration of the coal mining machine control system 300, and temperature changes of the coal mining machine control system 300. Sensor assembly 314 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 314 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 314 may also include an accelerometer, a gyroscope, a magnetometer, a pressure sensor, and a temperature sensor.

[0147] Communication component 316 is configured to enable the coal mining machine control system 300 to provide wired or wireless communication capabilities with other devices and cloud platforms. The coal mining machine control system 300 can access wireless networks based on communication standards, such as WiFi, 2G, or 3G, or combinations thereof. In one exemplary embodiment, communication component 316 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 316 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0148] In an exemplary embodiment, the coal mining machine control system 300 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the coal mining machine control method described in any of the above embodiments.

[0149] This application also provides a computer-readable storage medium, which, when the instructions in the storage medium are executed by the processor corresponding to the coal mining machine control system, enables the coal mining machine control system to implement the coal mining machine control method described in any of the above embodiments.

[0150] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0151] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0152] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0153] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0154] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A control method for a coal mining machine, characterized by, The method comprises: obtaining operation parameters of each coal mining machine; determining minimum power required by each coal mining machine based on the operation parameters of each coal mining machine; adjusting the operation parameters of each coal mining machine according to the minimum power required by each coal mining machine; the adjusting the operation parameters of each coal mining machine according to the minimum power required by each coal mining machine comprises: adjusting the operation power of each coal mining machine to the minimum power required by each coal mining machine; the determining the optimal operation power of each coal mining machine according to the total operation power of each coal mining machine, the coal mining amount of each coal mining machine at different power, and the electricity cost of each coal mining machine at different power comprises: determining the optimal operation power of each coal mining machine through a model as follows: where i = 1...n; Wherein, L is the mining quantity under the unit cost; a i is the working condition coefficient of the i-th coal mining machine, and is 0.7-1.1 according to different working conditions; P i is the power of the i-th coal mining machine; n is the number of the coal mining machines; b is the electricity price of the current period; c is other fixed costs except the electricity cost; is the minimum power required by the i-th coal mining machine; is the maximum power of the i-th coal mining machine; P is the minimum mining quantity per unit time of all the coal mining machines.

2. The method of claim 1, wherein, the operation parameters of the coal mining machine comprise amplitude and vibration frequency of the coal mining machine, and the determining the minimum power required by each coal mining machine based on the operation parameters of each coal mining machine comprises: determining working intensity of the coal mining machine according to the amplitude and vibration frequency of the coal mining machine; determining the minimum power required by each coal mining machine according to the working intensity of the coal mining machine.

3. The method of claim 1, wherein, the operation parameters of the coal mining machine comprise working images of the coal mining machine, and the determining the minimum power required by each coal mining machine based on the operation parameters of each coal mining machine comprises: determining working intensity of the coal mining machine according to the working images of the coal mining machine; determining the minimum power required by each coal mining machine according to the working intensity of the coal mining machine.

4. The method of claim 2 or 3, wherein, the determining the minimum power required by each coal mining machine according to the working intensity of the coal mining machine comprises: determining the minimum power required by each coal mining machine by querying a preset correspondence table of working intensity and working power interval.

5. The method of claim 1, wherein, after the adjusting the operation parameters of each coal mining machine according to the minimum power required by each coal mining machine, the method further comprises: determining the optimal operation power of each coal mining machine according to the total operation power of each coal mining machine, the coal mining amount of each coal mining machine at different power, and the electricity cost of each coal mining machine at different power, wherein the optimal operation power is greater than the minimum power required by each coal mining machine; adjusting the operation parameters of each coal mining machine according to the optimal operation power of each coal mining machine.

6. A control device for a coal mining machine, characterized in that, The method comprises: an obtaining module, configured to obtain operation parameters of each coal mining machine; a first determining module, configured to determine minimum power required by each coal mining machine based on the operation parameters of each coal mining machine; a first adjusting module, configured to adjust the operation parameters of each coal mining machine according to the minimum power required by each coal mining machine; the first adjusting module comprises: adjusting the operation power of each coal mining machine to the minimum power required by each coal mining machine; the second determining module determines the optimal operation power of each coal mining machine through a model as follows: where i = 1...n; Wherein, L is the mining quantity under the unit cost; a i is the working condition coefficient of the i-th coal mining machine, and is 0.7-1.1 according to different working conditions; P i is the power of the i-th coal mining machine; n is the number of the coal mining machines; b is the electricity price of the current period; c is other fixed costs except the electricity cost; is the minimum power required by the i-th coal mining machine; is the maximum power of the i-th coal mining machine; P is the minimum mining quantity per unit time of all the coal mining machines.

7. A control system for a coal mining machine, characterized in that The method comprises: at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to implement the coal mining machine control method according to any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, When the instructions in the storage medium are executed by the processor corresponding to the coal mining machine control system, the coal mining machine control system can implement the coal mining machine control method according to any one of claims 1-5.

Images