CN117608230A - Mining equipment control system and method - Google Patents
Mining equipment control system and method Download PDFInfo
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- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The application relates to the field of equipment control, in particular to a mining equipment control system and method, wherein the mining equipment control system comprises a first acquisition module, a task allocation module and a first output module, wherein the first acquisition module is used for acquiring production demand information; the task allocation module is used for inputting the production demand information into a task allocation model, analyzing the production demand information through the task allocation model and outputting operation reference information; the operation reference information is the on-off state and the operation mode of each mine equipment when the energy consumption of the production line is minimum under the condition of meeting the production demand information; the first output module is used for generating a first control instruction based on operation reference information and sending the first control instruction to the mining equipment so as to control the mining equipment to process ore raw materials, so that workers can conveniently control the working state of the mining equipment, and the mining equipment can reduce redundant energy consumption when finishing production requirements.
Description
Technical Field
The present application relates to the field of equipment control, and in particular, to a mining equipment control system and method.
Background
When the ore materials are processed, a plurality of production links such as feeding, crushing, screening, grinding, ore dressing and the like are needed, the ore materials excavated from the mining area by the excavating equipment are conveyed to a crusher by the conveying equipment to be crushed, and the crushed materials enter the screening equipment; the screening equipment screens ore raw materials with different diameters, and intermediate products of the screened ore raw materials are ground into powder through the ball mill so as to facilitate subsequent processing of the ore dressing equipment.
However, a large ore manufacturer is usually provided with a plurality of mine equipment in each production link, and the types of the mine equipment in the same production link may also be different; the production requirements of the ore processing production line are different at each stage; at present, after receiving production tasks, workers generally control the starting quantity and the starting model of mining equipment in each production link according to own experience, and the control on the starting and the running modes of the mining equipment mainly depends on manual judgment, so that the situations of insufficient productivity or energy waste caused by excessive running quantity of the mining equipment due to the fact that the starting quantity of the mining equipment in some links is too small are easy to occur.
Disclosure of Invention
In order to facilitate control of working states of mining equipment by workers, the mining equipment can reduce redundant energy consumption while production requirements are finished.
In a first aspect, the present application provides a mining apparatus control system, which adopts the following technical scheme:
the mining equipment control system comprises a control unit,
the first acquisition module is used for acquiring production demand information; the production demand information comprises the type information, the particle size information and the production quantity of ore raw materials to be produced;
the task allocation module is used for inputting the production demand information into a task allocation model, analyzing the type information, the grain size information and the production quantity through the task allocation model and outputting operation reference information; the operation reference information is the on-off state and the operation mode of each mine equipment when the energy consumption of the production line is minimum under the condition of meeting the production demand information;
the first output module is used for generating a first control instruction based on the operation reference information and sending the first control instruction to the mining equipment so as to control the mining equipment to process the ore raw materials.
By adopting the technical scheme, the first acquisition module can acquire the production demand information, and the task allocation module inputs the production demand information into the task allocation model after receiving the production demand information; the task allocation model can automatically analyze the type information, the particle size information and the production quantity and extract relevant characteristics; the task allocation model determines the model of mining equipment matched with the ore raw materials to be produced in each production link of the production line according to the type information and the particle size information, determines the quantity of the mining equipment to be started according to the production quantity of the ore raw materials to be produced, and obtains operation reference information by calculating and outputting the start-stop state and the operation mode of each mine equipment when the energy consumption is minimum under the condition of meeting the production demand information; the first output module can automatically generate a first control instruction according to the operation reference information, and send the first control instruction to the mining equipment to control the operation state of the mining equipment, so that the production line can meet the processing requirement of the ore raw materials and simultaneously achieve the effect of less energy consumption; the working personnel do not need to manually analyze and independently control the opening state and the operation mode of each mine equipment, so that the control efficiency of the working personnel and the convenience in mine equipment control are improved.
Optionally, the mining equipment further comprises an acquisition module, wherein the acquisition module is used for acquiring real-time energy consumption data of each mining equipment and real-time processing data of the ore raw materials; the acquisition module is in communication connection with a monitoring module, and the monitoring module is used for outputting the running state detection result of the mining equipment based on the real-time energy consumption data and the real-time processing data of the ore raw materials; the operation state detection result comprises that the energy consumption state of each mine equipment of the production line is normal and the energy consumption state of each mine equipment of the production line is abnormal.
Through adopting above-mentioned technical scheme, collection module can gather the real-time energy consumption data and the real-time processing data of ore raw materials of each mine equipment, and monitoring module can judge whether the running state of mine equipment appears unusual through real-time energy consumption data and the real-time processing data of ore raw materials, obtains the running state testing result of mine equipment to indicate the staff when mine equipment appears unusual.
Optionally, when the ratio of the real-time energy consumption data to the real-time processing data of the ore raw materials is greater than a reference threshold, the running state detection result output by the monitoring module is that the energy consumption state of each ore mountain device of the production line is abnormal.
By adopting the technical scheme, the judgment mode of the monitoring module on the running state detection result is clarified.
Optionally, the system further comprises an early warning module and a second acquisition module, wherein the early warning module is in communication connection with the monitoring module; when the running state detection result output by the monitoring module is that the energy consumption state of each mine equipment of the production line is abnormal, the monitoring module sends out an early warning instruction; the second acquisition module acquires real-time operation parameter information of each mining device after receiving the early warning instruction; the early warning module is used for generating early warning information and processing instructions based on the real-time energy consumption data, the real-time processing data of the ore raw materials and the real-time operation parameter information, and sending the early warning information and the processing instructions to an operation end where a worker is located.
By adopting the technical scheme, when the operation state detection result output by the monitoring module is abnormal in the energy consumption state of each mine equipment of the production line, the second acquisition module acquires the real-time operation parameter information of the mine equipment; the early warning module can generate early warning information based on real-time energy consumption data, real-time processing data of ore raw materials and real-time operation parameter information, and after receiving a processing instruction, a worker can judge the health condition of mining equipment by checking the early warning information, so that the worker can control the opening and closing of the mining equipment in each production link of the production line according to the real-time operation parameter information of each mining equipment, and the control efficiency of the worker on the mining equipment is improved.
Optionally, the real-time operation parameter information includes equipment vibration state information, equipment temperature state information, equipment pressure state information and equipment current state information; the equipment vibration state information is used for representing the vibration state of a motor or a bearing box of the mining equipment during operation, the equipment temperature state information is used for representing the temperature state of the motor and each motion friction part of the mining equipment during operation, the equipment pressure state information is used for representing the pressure change of the mining equipment during operation in a hydraulic system or a gas system pipeline, and the equipment current state information is used for representing the current change of the motor during operation of the mining equipment.
By adopting the technical scheme, the specific content contained in the real-time operation parameter information and the specific meaning of the representation of the equipment vibration state information, the equipment temperature state information, the equipment pressure state information and the equipment current state information are defined.
Optionally, the mining equipment further comprises a receiving module and a second output module, wherein the receiving module is used for receiving equipment state adjustment information sent by an operating end where the staff is located in response to the processing instruction, and the equipment state adjustment information comprises an on-off state and an adjusted running mode of each mining equipment after adjustment; the second output module is used for generating a second control instruction based on the equipment state adjustment information and sending the second control instruction to the mining equipment so as to control the mining equipment to process the ore raw material.
By adopting the technical scheme, when the running state of the mining equipment is abnormal due to continuous work, a worker can directly operate the end to adjust the on-off state of each mining equipment in the abnormal production link, and send the equipment state adjustment information to the receiving module; the receiving module can receive equipment state adjustment information sent by an operating end where a worker is located in response to the processing instruction, the second output module can generate a second control instruction based on the equipment state adjustment information, the operation state of each mine equipment in an abnormal production link is automatically controlled, remote adjustment of the operation state of the mine equipment is achieved, and the possibility of failure of the mine equipment due to long-time work is reduced.
Optionally, the device further comprises a storage module, wherein the storage module is in communication connection with the acquisition module; the storage module is used for storing the real-time energy consumption data of each mining device, the real-time operation parameter information of each mining device and the real-time processing data of the ore raw materials in a correlated manner; the storage module is in communication connection with an optimization module, and the optimization module is used for optimizing the task allocation model by utilizing the data of the storage module; the real-time energy consumption data, the real-time operation parameter information and the real-time processing data of the ore raw materials stored in the storage module can be read and analyzed by the optimization module.
By adopting the technical scheme, the optimization module can train the neural network model continuously by utilizing the newly collected real-time energy consumption data, the real-time operation parameter information and the real-time processing data of the ore raw materials, and optimize the neural network model in real time; the neural network model can automatically adapt to the change of the running state of the mining equipment caused by the self health state or external factors, so that the use strategy of the task allocation model output is more accurate.
Optionally, the task allocation model is obtained through training of multiple groups of sample data, wherein the sample data comprises historical production demand information, basic information of each mine equipment and historical energy consumption information of each mine equipment; the basic information of the mining equipment comprises the model of the mining equipment and the historical operation parameters of the mine; and inputting a plurality of groups of sample data into a neural network model to train the neural network model, so as to obtain the task allocation model.
By adopting the technical scheme, the task allocation model is obtained by training the neural network model through a plurality of groups of sample data, so that the task allocation model is more accurate; the neural network model can automatically plan the on-off state and the running mode of ore equipment in each production link of the production line according to the production demand information, and the control efficiency of workers on mining equipment is improved.
In a second aspect, the present application provides a mining apparatus control method, which adopts the following technical scheme:
the mining equipment control method comprises the following steps:
acquiring production demand information; the production demand information comprises the type information, the particle size information and the production quantity of ore raw materials to be produced;
inputting the production demand information into a task allocation model, analyzing the type information, the particle size information and the production quantity through the task allocation model, and outputting operation reference information; the operation reference information is the on-off state and the operation mode of each mine equipment when the energy consumption of the production line is minimum under the condition of meeting the production demand information;
and generating a first control instruction based on the operation reference information, and sending the first control instruction to the mining equipment so as to control the mining equipment to process the ore raw material.
Optionally, collecting real-time energy consumption data of each mining device and real-time processing data of the ore raw materials;
outputting an operation state detection result of the mining equipment based on the real-time energy consumption data and the real-time processing data of the ore raw materials; the operation state detection result comprises that the energy consumption state of each mine equipment of the production line is normal and the energy consumption state of each mine equipment of the production line is abnormal;
When the running state detection result is that the energy consumption state of each mine equipment of the production line is abnormal, acquiring real-time running parameter information of each mine equipment;
generating early warning information based on the real-time energy consumption data, the real-time processing data of the ore raw materials and the real-time operation parameter information, and sending a processing instruction to an operation end where a worker is located;
receiving equipment state adjustment information sent by an operating end where the staff is located in response to the processing instruction;
and generating a second control instruction based on the equipment state adjustment information, and sending the second control instruction to the mining equipment so as to control the mining equipment to process the ore raw material.
By adopting the technical scheme, the real-time energy consumption data of the production line and the real-time processing data of the ore raw materials are monitored, the possibility that the working efficiency is low due to continuous use of partial mining equipment is reduced, and therefore the possibility that the running state of the partial mining equipment is abnormal and the whole production line can be influenced by the raw material yield is reduced.
In summary, the present application includes the following beneficial technical effects:
After receiving the production demand information, inputting the production demand information into a task allocation model; the task allocation model can automatically analyze the type information, the grain size information and the production quantity, and a mining equipment selection scheme with the minimum energy consumption under the condition of meeting the production demand information is made to be used as operation reference information; generating a first control instruction according to the operation reference information, and automatically controlling the on-off state and the operation mode of the mining equipment; the mining equipment can automatically adjust the state of the mining equipment based on the first control instruction, so that the production line can meet the processing requirement of the ore raw materials and achieve the effect of low energy consumption; the staff does not need to manually analyze and independently control the opening state and the operation mode of each mine equipment, so that the working efficiency of the staff and the convenience of control are improved.
Drawings
FIG. 1 is a schematic diagram of a system architecture of a mountain equipment control system according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a filling interface of production requirement information at an application client according to an embodiment of the present application;
FIG. 3 is a diagram showing an ore installation distribution of each production section of a certain plant ore production line in an example of the present embodiment;
FIG. 4 is a schematic diagram of the feeding and discharging conditions of the equipment materials of each mine of the production line after being processed by the task allocation module;
FIG. 5 is a schematic diagram of a module of an early warning system in the mountain equipment control system in the present embodiment;
FIG. 6 is a schematic diagram of the feeding and discharging of the materials of the equipment of each mine in the production line after adjustment;
FIG. 7 is a schematic block diagram of an adjusting system in the mine equipment control system of the present embodiment;
FIG. 8 is a schematic block diagram of an optimizing system in the mine equipment control system of the present embodiment;
FIG. 9 is a flow chart of a mountain equipment control method in the present embodiment;
FIG. 10 is a block flow diagram of a mining apparatus control method in an alternative embodiment of the present embodiment;
fig. 11 is a schematic structural view of the computer device.
Reference numerals: 1. a first acquisition module; 2. a task allocation module; 3. a first output module; 4. an acquisition module; 5. a monitoring module; 6. a second acquisition module; 7. an early warning module; 8. a receiving module; 9. a second output module; 10. a storage module; 11. an optimization module; 121. a processor; 122. a memory.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The embodiment of the application discloses a mining equipment control system and a mining equipment control method.
Referring to fig. 1, a mining equipment control system comprises a first acquisition module 1, a task distribution module 2 and a first output module 3, wherein a signal output end of the first acquisition module 1 is in communication connection with a signal input end of the task distribution module 2, a signal output end of the task distribution module 2 is in communication connection with a signal input end of the first output module 3, and the first output module 3 is in communication connection with a plurality of mining equipment; as will be appreciated by those skilled in the art, the connection between the first output module 3 and the mining equipment may be achieved by a wired manner or may be achieved by a wireless manner; to ensure flexibility in use of the mining apparatus, in some examples of this embodiment, the mining apparatus includes a wireless communication module, where the wireless communication includes at least one of a mobile communication module, a bluetooth communication module, and a WiFi communication module.
In the preferred embodiment of the application, the wireless communication module in the mining equipment is a 5G mobile communication module, the data transmission efficiency of the 5G mobile communication module is high, the time delay is low, the reliability is high, and the communication efficiency between the mining equipment and the first output module 3 and the accuracy of communication data can be improved.
The first acquisition module 1 can acquire production demand information, the task allocation module 2 can input the production demand information into a task allocation model, the task allocation module 2 can input the production demand information into the task allocation model, the production demand information is analyzed through the task allocation model and operation reference information is output, and the first output module 3 can generate a first control instruction based on the operation reference information and send the first control instruction to the mining equipment so as to control the mining equipment to process ore raw materials; in this embodiment, the first control instruction includes a plurality of first control instructions and a plurality of mining apparatuses are arranged in a one-to-one manner, so as to realize accurate control of each mining apparatus on the production line.
The production demand information comprises the type information, the particle size information and the production quantity of ore raw materials to be produced; wherein the kind information of the ore raw material is the material of the ore raw material, such as gold ore, silver ore, iron ore or coal mine; the particle size information is expressed as the particle size of the ore raw material after being processed into a finished product; the production quantity is the quantity of the ore raw material to be processed.
In this embodiment, the first obtaining module 1 may obtain the production requirement information through an input unit, for example, receive the production requirement information through keyboard input, touch screen input, and audio input; the production requirement information may also be imported from an external device through a wired communication form such as a control line or a wireless signal receiving manner, which is not limited in the embodiment of the present application.
In a preferred implementation manner of this embodiment, the first obtaining module 1 is in communication connection with an Application client, where the Application client is set on a terminal where a worker is located, and the Application client may be an Application (APP) or a WeChat applet, and the worker may fill in the production requirement information on an interface related to the Application (APP) or the WeChat applet, and in some examples of this embodiment, the filling interface of the production requirement information on the Application client is shown in FIG. 2; after the production demand information is submitted on the filling interface by the staff, the production demand information is uploaded to the cloud platform, and the first acquisition module 1 can directly call the production demand information, so that the setting of the production demand information by the staff is facilitated, and the working efficiency of the mining equipment control system is improved.
The operation reference information is the on-off state and the operation mode of each mine equipment when the energy consumption of the production line is minimum under the condition of meeting the production demand information; in this embodiment, the operation modes include low-speed operation, medium-speed operation, and high-speed operation, and the power is different when the mining apparatus is operated in different operation modes; the operation mode of the mining equipment can be selected according to actual conditions in the actual production process, the mining equipment can work in a plurality of operation modes, and more selection modes are adopted when the operation state of the mining equipment is controlled, so that the task allocation model can adjust the mining equipment to a relatively energy-saving state according to actual requirements.
Specifically, the processing procedure of the task allocation model on the production requirement information comprises the following steps:
firstly, screening the types of mining equipment which can be started in each production link of a production line according to the types and the particle sizes of ore raw materials to be produced, and outputting a selectable equipment list meeting the processing conditions of the ore raw materials to be produced;
then, based on the production quantity of the ore raw materials to be produced and the optional equipment list, outputting a plurality of groups of equipment selection schemes capable of meeting the production quantity of the ore raw materials to be produced; the equipment selection scheme comprises the model numbers, the number and the operation modes of mine equipment which are started in each production link of the production line; in the embodiment, the number and model of ore equipment used in each production link of the production line can be calculated by using a mathematical formula; because a plurality of mining equipment with the same model or similar functions can exist in each production link of the production line, a plurality of groups of equipment selection schemes capable of meeting the production quantity of ore raw materials to be produced often exist;
and finally, respectively calculating the total energy consumption of the mining equipment in the unit time operation of the mining equipment contained in the plurality of groups of equipment selection schemes, and generating operation reference information based on the group of equipment selection schemes with the lowest total energy consumption.
The task allocation model can automatically plan the running state of ore equipment in each production link of the production line according to actual production requirements, so that the production line can meet the processing requirements of ore raw materials and achieve the effect of less energy consumption and the effect of energy conservation.
For the convenience of understanding of those skilled in the art, the control process of the mine equipment control system will be described below with reference to specific examples, and fig. 3 is a single ore production line of a certain plant, including six production links, each production link being provided with 3 mine equipments; (the above is merely an example, in actual production, the number of production links and the number of mine equipments per production link are not determined); if the task allocation model receives the production demand information, calculating to obtain the condition that the mining equipment 1-1 and the mining equipment 2-2 run at high speed; mining equipment 3-1, mining equipment 4-1, mining equipment 5-1, and mining equipment 6-1 are operated at medium speed; when the mining equipment 3-3, the mining equipment 4-2, the mining equipment 5-2 and the mining equipment 6-2 run at a low speed, the requirement of production demand information can be met, and the energy consumption of the whole production line is the lowest during running;
the output operation reference information is: the feeding situation of each mine equipment material of the production line obtained after the processing of the task allocation module 2 is shown in fig. 4 by adopting the mining equipment 1-1 to run at a high speed, the mining equipment 2-2 to run at a high speed, the mining equipment 3-1 to run at a medium speed, the mining equipment 3-3 to run at a low speed, the mining equipment 4-1 to run at a medium speed, the mining equipment 4-2 to run at a low speed, the mining equipment 5-1 to run at a medium speed, the mining equipment 5-2 to run at a low speed, the mining equipment 6-1 to run at a medium speed and the mining equipment 6-2 to run at a low speed.
In the embodiment, the task allocation model is obtained through training of a plurality of groups of sample data, wherein the sample data comprises historical production demand information, basic information of each mine equipment and historical energy consumption information of each mine equipment; the basic information of the mining equipment comprises the model of the mining equipment and the historical operation parameters of the mine; extracting feature vectors of a plurality of groups of sample data, inputting the feature vectors into a neural network model to train the neural network model, taking the trained convolutional neural network as a required task distribution model, wherein the neural network model of the embodiment can select a BP neural network model (error back propagation algorithm (Error Back Propagation Training), abbreviated as BP), and the BP neural network model learns and generalizes the recorded historical data to obtain a final task distribution model.
Referring to fig. 5, the mine equipment control system further comprises an early warning system, the early warning system comprises an acquisition module 4 and a monitoring module 5, the acquisition module 4 can acquire real-time energy consumption data of each mine equipment and real-time processing data of the ore raw materials, and the real-time processing data of the ore raw materials are used for representing the processing amount of the production line to the ore raw materials in a unit time period; in the embodiment, the intelligent ammeter can be used for collecting real-time energy consumption data of mining equipment; when the intelligent electric meter is used, the intelligent electric meter is arranged on a main line of an electric power supply module for driving the mining equipment to operate, and can detect current, voltage, power and other data when the mining equipment operates so as to acquire real-time energy consumption data of the mining equipment; the real-time processing data of the ore raw material in the embodiment can be obtained by counting and calculating the ore processing amount of the ore production line at the material collecting end by a worker.
The monitoring module 5 can judge the running state of the ore equipment based on the real-time energy consumption data and the real-time processing data of the ore raw materials, and output the running state detection result of the ore equipment; the operation state detection result comprises that the energy consumption state of each mine equipment of the production line is normal and the energy consumption state of each mine equipment of the production line is abnormal; the staff can judge whether the equipment of each mine of the production line is abnormal or not according to the detection result of the running state.
Specifically, after the monitoring module 5 receives the real-time energy consumption data and the real-time processing data of the ore raw materials, the real-time energy consumption data and the real-time processing data of the ore raw materials are filtered and noise reduction is carried out, noise generated by signals in the data acquisition and transmission processes is filtered, interference of irrelevant signals on the data can be reduced, and accuracy of a subsequent running state detection result is improved;
then comparing the ratio of the real-time energy consumption data to the real-time processing data of the ore raw materials with a reference threshold value; when the ratio of the real-time energy consumption data to the real-time processing data of the ore raw materials is larger than a reference threshold value, the running state detection result output by the monitoring module 5 is abnormal energy consumption state of each ore mountain equipment of the production line; when the ratio of the real-time energy consumption data to the real-time processing data of the ore raw materials is smaller than or equal to a reference threshold value, the operation state detection result output by the monitoring module 5 is that the energy consumption state of each ore mountain device of the production line is normal.
When the monitoring module 5 monitors that the ratio of the real-time energy consumption of the production equipment operated by the production line to the processing amount of the ore raw materials is larger, the fact that the production line consumes more energy when producing a certain amount of ore raw materials is shown, the possibility that the working efficiency of part of mining equipment is low is likely to exist, and the working state of the mining equipment in operation needs to be detected, so that the possibility that the whole production line can be influenced by the abnormal operation state of part of mining equipment and the raw material yield can be reduced.
Referring to fig. 5, the monitoring module 5 is communicatively connected with the second acquisition module 6, and when the monitoring module 5 outputs the detection result of the operation state and is abnormal in the energy consumption state of each mine equipment of the production line, an early warning instruction is sent; after receiving the early warning instruction, the second acquisition module 6 responds to the early warning instruction to acquire real-time operation parameter information of each mining device; the staff can judge the health condition of the mining equipment according to the real-time operation parameter information of each mining equipment, so that the staff can control the on-off of the mining equipment in each production link of the production line according to the real-time operation parameter information of each mining equipment.
The real-time operation parameter information comprises equipment vibration state information, equipment temperature state information, equipment pressure state information and equipment current state information;
The vibration state information of the equipment is used for representing the vibration state of the motor or the bearing box of the mining equipment during operation, in the embodiment, a plurality of vibration measuring points can be arranged in the shell of the motor and the bearing box, each vibration measuring point is provided with a vibration sensor, and the vibration sensor can detect the vibration amplitude, the frequency and the phase of the motor or the bearing box during operation of the mining equipment, so that the vibration state information of the equipment is obtained.
The equipment temperature state information is used for representing the temperature states of the motor and each motion friction part of the mining equipment during operation, and in the embodiment, the temperature sensors are used for measuring the temperatures of the vicinity of the shell of the motor and each motion friction part of the mining equipment to obtain the equipment temperature state information.
The equipment pressure state information is used for representing pressure changes in a hydraulic system or a gas system pipeline of the mining equipment during operation; in this embodiment, the pressure sensor is used to detect the data of the internal pressure of the pipeline in the hydraulic system or the gas system pipeline, so as to obtain the equipment pressure state information.
The equipment current state information is used for representing the current change of the motor when the mining equipment runs, in some examples of the embodiment, the current change of the motor by the clamp ammeter can be selected, and when the equipment current state information is used, a magnet of the clamp ammeter is sleeved on a wire of the motor for controlling the mining equipment to run so as to obtain a real-time current value when the motor works; the current transformer can be used to measure the real-time current value of the motor during working by other instruments such as a matched ammeter or a multifunctional electric instrument, and the embodiment is not limited.
Referring to fig. 5, the monitoring module 5 is also in communication connection with an early warning module 7, and the early warning module 7 generates early warning information based on real-time energy consumption data, real-time processing data of ore raw materials and real-time operation parameter information after receiving an early warning instruction, and sends a processing instruction to an operation end where a worker is located to prompt the worker to process mining equipment.
The working personnel can judge the operation condition of each operation device of the ore production line according to the early warning information, and when any one or more real-time operation parameters of the mining device positioned in a certain production link exceed a preset reference threshold value, the possibility of abnormality of the operation state of the mining device is indicated; the staff can select one of mining equipment in the same production link to replace original mining equipment to work according to actual conditions, so that the possibility that the productivity of the whole production line is influenced due to the fact that an abnormality occurs in one mining equipment is reduced.
For example, for the ore production line shown in fig. 3, when a worker detects that the operation state of the mine equipment 4-2 in the production link 4 is abnormal, the mine equipment 4-2 can be closed, the mine equipment 4-3 is opened, and the feeding and discharging condition of materials of each mine equipment of the production line after adjustment is schematically shown in fig. 6.
Referring to fig. 7, in an alternative implementation manner of the present embodiment, the mine equipment control system further includes an adjusting system, where the adjusting system includes a receiving module 8 and a second output module 9, where the receiving module 8 is capable of receiving equipment state adjustment information sent by an operating end where a worker is located in response to a processing instruction, where the equipment state adjustment information includes an adjusted on-off state and an adjusted operation mode of each mine equipment; the second output module 9 can generate a second control instruction based on the equipment state adjustment information and send the second control instruction to the mining equipment so as to control the mining equipment to process the ore raw materials;
when the health state of a certain mine equipment is reduced due to continuous working, the mine equipment with the reduced health state is closed, the mine equipment with the reduced health state is replaced by the mine equipment with other good health states in the same production link to continue working, the ore processing efficiency of the whole production line can be improved, and the service life of each mine equipment is prolonged while the energy consumption of the whole production line is reduced.
Referring to fig. 8, in an alternative implementation manner of the present embodiment, the mine equipment control system further includes an optimizing system, where the optimizing system includes a storage module 10 and an optimizing module 11, and the storage module 10 is capable of storing, in association, real-time energy consumption data of each mine equipment, real-time operation parameter information of each mine equipment, and real-time processing data of ore raw materials; the optimization module 11 is used for optimizing the task allocation model; since the operation parameters and the energy consumption conditions of the mining equipment may change after a long-time use, the real-time energy consumption data, the real-time operation parameter information and the real-time processing data of the ore raw materials stored in the storage module 10 can be read and analyzed by the optimization module 11; the optimization module 11 can train the neural network model continuously by utilizing the real-time energy consumption data, the real-time operation parameter information and the real-time processing data of the ore raw materials newly collected by the storage module 10, and optimize the neural network model in real time, so that the neural network model can adapt to the change of the operation state of the mining equipment caused by the self health state or external factors, and the use strategy of the output of the task allocation model is more accurate.
It should be noted that, before the optimization module 11 analyzes and utilizes the real-time energy consumption data, the real-time operation parameter information, and the feature vector of the real-time processing data of the ore raw material, the real-time energy consumption data of each mine equipment, the real-time operation parameter information of each mine equipment, and the real-time processing data of the ore raw material in the storage module 10 are filtered and noise reduced in advance, so that the interference of irrelevant signals and obviously abnormal data are removed, and the quality of the data and the accuracy of task allocation are improved.
Based on the same design concept, the embodiment also discloses a mining equipment control method.
Referring to fig. 9, the mining apparatus control method mainly includes the steps of:
s901: acquiring production demand information; the production demand information includes kind information, particle size information, and production quantity of ore raw materials to be produced.
S902: the production demand information is input into a task allocation model, and the type information, the particle size information and the production quantity are analyzed through the task allocation model, and the operation reference information is output.
The operation reference information is the on-off state and the operation mode of each mine equipment when the energy consumption of the production line is minimum under the condition of meeting the production demand information.
S903: and generating a first control instruction based on the operation reference information, and sending the first control instruction to the mining equipment so as to control the mining equipment to process the ore raw material.
Referring to fig. 10, in an alternative embodiment of the present application, the mining apparatus control method further includes:
s904: collecting real-time energy consumption data of each mining device and real-time processing data of ore raw materials; and outputting the running state detection result of the mining equipment according to the real-time energy consumption data and the real-time processing data of the ore raw materials.
The operation state detection result comprises that the energy consumption state of each mine equipment of the production line is normal and the energy consumption state of each mine equipment of the production line is abnormal;
specifically, the step of judging the operation state detection result of the mining apparatus includes:
comparing the ratio of the real-time energy consumption data to the real-time processing data of the ore raw material with a reference threshold value;
judging whether the ratio of the real-time energy consumption data to the real-time processing data of the ore raw materials is larger than a reference threshold value,
if yes, the running state detection result output by the monitoring module 5 is abnormal energy consumption state of each mine equipment of the production line;
if not, the operation state detection result output by the monitoring module 5 is that the energy consumption state of each mine equipment of the production line is normal.
S905: when the detection result of the operation state of the monitoring module 5 is that the energy consumption state of each mine equipment of the production line is abnormal, acquiring real-time operation parameter information of each mine equipment;
s906: generating early warning information and processing instructions based on the real-time energy consumption data, the real-time processing data of the ore raw materials and the real-time operation parameter information, and sending the early warning information and the processing instructions to an operation end where a worker is located;
after receiving the processing instruction, the staff checks the early warning information and checks and adjusts the running state of the mining equipment in time, so that the mining equipment in running on the production line works in a better state.
S907: and receiving equipment state adjustment information sent by an operating end where the staff is located in response to the processing instruction, generating a second control instruction based on the equipment state adjustment information, and sending the second control instruction to the mining equipment so as to control the mining equipment to process the ore raw material.
Monitoring real-time energy consumption data of the production line and real-time processing data of the ore raw materials in the running process of the production line, and when the relation between the real-time energy consumption data and the real-time processing data is abnormal, the possibility that the health state of the running mining equipment is reduced due to continuous work exists; at the moment, the real-time operation parameters of the mine equipment are utilized to check the operation state of the mine equipment, the mine equipment with the lowered health state is closed, the mine equipment with the lowered health state is replaced by the mine equipment with other good health states in the same production link to continue working, the ore processing efficiency of the whole production line can be improved, and the service life of the mine equipment is prolonged while the energy consumption of the whole production line is reduced.
It should be understood that, the specific flow and processing details of the mining apparatus control method provided in this embodiment may refer to the foregoing description of the mining apparatus control system, which is not repeated herein.
In order to better execute the program of the above method, the embodiment of the present application further provides a computer apparatus, as shown in fig. 11, including a processor 121 and a memory 122.
Wherein the memory 122 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 122 may include a storage program area and a storage data area, wherein the storage program area may store instructions for implementing an operating system, instructions for at least one function, instructions for implementing a control method provided by the above-described embodiments, and the like; the storage data area may store data and the like involved in the control method provided in the above embodiment.
Processor 121 may include one or more processing cores. The processor 121 performs various functions of the present application and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 122, invoking data stored in the memory 122. The processor 121 may be at least one of an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a digital signal processor (Digital Signal Processor, DSP), a digital signal processing device (Digital Signal Processing Device, DSPD), a programmable logic device (Programmable Logic Device, PLD), a field programmable gate array (Field Programmable Gate Array, FPGA), a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, and a microprocessor. It will be appreciated that the electronic device for implementing the above-mentioned processor function may be other for different apparatuses, and embodiments of the present application are not specifically limited.
Embodiments of the present application provide a computer-readable storage medium, for example, comprising: a U-disk, a removable hard disk, a Read Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes. The computer-readable storage medium stores a computer program capable of being loaded by the processor 121 and executing the control method of the above-described embodiment.
The foregoing embodiments are only used for describing the technical solution of the present application in detail, but the descriptions of the foregoing embodiments are only used for helping to understand the method and the core idea of the present application, and should not be construed as limiting the present application. Variations or alternatives that are readily contemplated by those skilled in the art within the scope of the present disclosure are intended to be encompassed within the scope of the present disclosure.
Claims (10)
1. A mining equipment control system, the mining equipment control system comprising:
the first acquisition module (1) is used for acquiring production demand information; the production demand information comprises the type information, the particle size information and the production quantity of ore raw materials to be produced;
The task distribution module (2) is used for inputting the production demand information into a task distribution model, analyzing the type information, the grain size information and the production quantity through the task distribution model and outputting operation reference information; the operation reference information is the on-off state and the operation mode of each mine equipment when the energy consumption of the production line is minimum under the condition of meeting the production demand information;
the first output module (3) is used for generating a first control instruction based on the operation reference information and sending the first control instruction to the mining equipment so as to control the mining equipment to process the ore raw material.
2. The mining equipment control system according to claim 1, characterized by further comprising an acquisition module (4), the acquisition module (4) being configured to acquire real-time energy consumption data of each of the mining equipment and real-time processing data of the ore raw material, the real-time processing data being used to characterize the processing amount of the ore raw material by a production line per unit time period; the acquisition module (4) is in communication connection with a monitoring module (5), and the monitoring module (5) is used for outputting the running state detection result of the mining equipment based on the real-time energy consumption data and the real-time processing data of the ore raw materials; the operation state detection result comprises that the energy consumption state of each mine equipment of the production line is normal and the energy consumption state of each mine equipment of the production line is abnormal.
3. The mining equipment control system according to claim 2, wherein the operation state detection result output by the monitoring module (5) is abnormal energy consumption state of each mine equipment of the production line when the ratio of the real-time energy consumption data to the real-time processing data of the ore raw material is greater than a reference threshold value.
4. The mining equipment control system according to claim 2, characterized by further comprising an early warning module (7) and a second acquisition module (6), the early warning module (7) being in communication with the monitoring module (5); when the running state detection result output by the monitoring module (5) is that the energy consumption state of each mine equipment of the production line is abnormal, the monitoring module (5) sends out an early warning instruction; the second acquisition module (6) acquires real-time operation parameter information of each mining device after receiving the early warning instruction; the early warning module (7) is used for generating early warning information and processing instructions based on the real-time energy consumption data, the real-time processing data of the ore raw materials and the real-time operation parameter information, and sending the early warning information and the processing instructions to an operation end where a worker is located.
5. The mining equipment control system of claim 4, wherein the real-time operating parameter information includes equipment vibration status information, equipment temperature status information, equipment pressure status information, and equipment current status information; the equipment vibration state information is used for representing the vibration state of a motor or a bearing box of the mining equipment during operation, the equipment temperature state information is used for representing the temperature state of the motor and each motion friction part of the mining equipment during operation, the equipment pressure state information is used for representing the pressure change of the mining equipment during operation in a hydraulic system or a gas system pipeline, and the equipment current state information is used for representing the current change of the motor during operation of the mining equipment.
6. The mining equipment control system according to claim 4, further comprising a receiving module (8) and a second output module (9), wherein the receiving module (8) is configured to receive equipment state adjustment information sent by an operation end where the staff member is located in response to the processing instruction, where the equipment state adjustment information includes an adjusted on-off state and an adjusted operation mode of each mining equipment; the second output module (9) is used for generating a second control instruction based on the equipment state adjustment information and sending the second control instruction to the mining equipment so as to control the mining equipment to process the ore raw material.
7. The mining equipment control system according to claim 4, characterized by further comprising a storage module (10), the storage module (10) being communicatively connected to the acquisition module (4); the storage module (10) is used for storing the real-time energy consumption data of each mining device, the real-time operation parameter information of each mining device and the real-time processing data of the ore raw materials in a correlated manner; the storage module (10) is in communication connection with an optimization module (11), and the optimization module (11) is used for optimizing the task allocation model by utilizing the data of the storage module (10); the real-time energy consumption data, the real-time operation parameter information and the real-time processing data of the ore raw material stored in the storage module (10) can be read and analyzed by the optimization module (11).
8. The mining equipment control system according to claim 1, wherein the task allocation model is trained by a plurality of sets of sample data, the sample data including historical production demand information, basic information of each mine equipment, and historical energy consumption information of each mine equipment; the basic information of the mining equipment comprises the model of the mining equipment and the historical operation parameters of the mine; and inputting a plurality of groups of sample data into a neural network model to train the neural network model, so as to obtain the task allocation model.
9. A mining equipment control method, characterized by comprising:
acquiring production demand information; the production demand information comprises the type information, the particle size information and the production quantity of ore raw materials to be produced;
inputting the production demand information into a task allocation model, analyzing the type information, the particle size information and the production quantity through the task allocation model, and outputting operation reference information; the operation reference information is the on-off state and the operation mode of each mine equipment when the energy consumption of the production line is minimum under the condition of meeting the production demand information;
And generating a first control instruction based on the operation reference information, and sending the first control instruction to the mining equipment so as to control the mining equipment to process the ore raw material.
10. The mining equipment control method according to claim 9, characterized by further comprising:
collecting real-time energy consumption data of each mining device and real-time processing data of the ore raw materials;
outputting an operation state detection result of the mining equipment based on the real-time energy consumption data and the real-time processing data of the ore raw materials; the operation state detection result comprises that the energy consumption state of each mine equipment of the production line is normal and the energy consumption state of each mine equipment of the production line is abnormal;
when the running state detection result is that the energy consumption state of each mine equipment of the production line is abnormal, acquiring real-time running parameter information of each mine equipment;
generating early warning information and processing instructions based on the real-time energy consumption data, the real-time processing data of the ore raw materials and the real-time operation parameter information, and sending the early warning information and the processing instructions to an operation end where a worker is located;
receiving equipment state adjustment information sent by an operating end where the staff is located in response to the processing instruction;
And generating a second control instruction based on the equipment state adjustment information, and sending the second control instruction to the mining equipment so as to control the mining equipment to process the ore raw material.
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