CN117411383A - Integrated mining variable-frequency speed regulation equipment control method and device and electronic equipment - Google Patents
Integrated mining variable-frequency speed regulation equipment control method and device and electronic equipment Download PDFInfo
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Abstract
The invention relates to the field of mining equipment management, and discloses a control method and device for integrated mining variable-frequency speed regulating equipment and electronic equipment, wherein the method can be applied to a server and comprises the following steps: acquiring first acquisition data and second acquisition data of mining equipment, wherein the first acquisition data are used for acquiring operation related data of the mining equipment, and the second acquisition data are environment related data of an area where the mining equipment belongs; inputting the first acquired data into an operation analysis model for analysis, and determining a first analysis result; inputting the first analysis result and the second acquired data into an environmental analysis model for analysis, determining the environmental impact quantity of the first analysis result to determine the adjustment quantity of the first analysis result, adjusting the first analysis result according to the adjustment quantity until the environmental impact quantity of the first analysis result accords with a preset threshold value, and determining a control scheme; issuing a control scheme to mining equipment; the scheme can control mining equipment more reasonably.
Description
Technical Field
The invention relates to the technical field of mining equipment management, in particular to an integrated mining variable-frequency speed regulation equipment control method and device and electronic equipment.
Background
The mining equipment management means that the operation of the mining equipment is controlled in a frequency conversion mode, the existing scheme generally obtains the operation data of the mining equipment through a mining frequency conversion integrated machine, analyzes the operation data and determines a corresponding control scheme so as to control the mining equipment.
However, the existing scheme does not consider the interference of the surrounding environment of the mining equipment, only acquires the data of the sensor directly connected with the mining frequency conversion integrated machine for analysis, and the control of the mining equipment is unreasonable.
Disclosure of Invention
The invention provides an integrated mining variable-frequency speed regulation equipment control method, an integrated mining variable-frequency speed regulation equipment control device and electronic equipment, which can control mining equipment more reasonably.
In order to solve the technical problems, the invention is realized as follows:
in a first aspect, the present application provides a control method of an integrated mining variable frequency speed control device, applied to a server, the method comprising: acquiring first acquisition data and second acquisition data of mining equipment, wherein the first acquisition data are used for acquiring operation related data of the mining equipment, and the second acquisition data are environment related data of an area where the mining equipment belongs; inputting the first acquired data into an operation analysis model for analysis, and determining a first analysis result; inputting the first analysis result and the second acquired data into an environmental analysis model for analysis, determining the environmental impact quantity of the first analysis result to determine the adjustment quantity of the first analysis result, adjusting the first analysis result according to the adjustment quantity until the environmental impact quantity of the first analysis result accords with a preset threshold value, and determining a control scheme; and issuing a control scheme to the mining equipment.
Preferably, the method further comprises the step of training a running analytical model: determining a plurality of training participants, and determining repeated data in training data of the plurality of training participants; after duplicate data in training data of a plurality of training participants are de-duplicated, input data in the training data are input into an operation analysis model, a prediction result is determined, and the prediction result is calibrated according to label data in the training data and weight values of the label data so as to adjust the operation analysis model until the trained operation analysis model is determined; the input data of the training data comprise sensor data related to the mining equipment, the tag data of the training data comprise a variable frequency control strategy for the mining equipment, and the weight value is determined according to the influence of the variable frequency control strategy on the surrounding environment of the mining equipment and the loss of the mining equipment after the variable frequency control strategy is adopted.
Preferably, the method further comprises the step of determining a weight value of the tag data in the training data: determining the influence of the variable frequency control strategy on the surrounding environment of the mining equipment according to sensor data related to the mining equipment in a preset period after the variable frequency control strategy is adopted; determining loss of the mining equipment according to the adjustment frequency of the control strategy of the mining equipment in a preset period after the variable frequency control strategy is adopted; to determine the weight value of the tag data.
Preferably, the determining the repeated data in the training data of the plurality of training participants includes: issuing a data alignment strategy to each training participant, wherein the data alignment strategy comprises a first strategy for determining the number of data bits reserved after data normalization and a second strategy for mapping the normalized data to a mapping interval, each training participant performs normalization processing on input data and tag data of training data according to the first strategy, maps the normalized data according to the second strategy to determine mapping data in the mapping interval, and extracts a binary prefix as data to be compared after converting the mapping data into binary; and issuing a data hash scheme to each training participant so that each training participant hashes the data to be compared according to the data hash scheme to obtain data to be matched, and transmitting the data to be matched to other training participants to determine repeated data in the training data of the training participants according to the data to be matched.
Preferably, the step of determining, by the training participant, repeated data in the training data of the training participant according to the data to be matched includes: receiving first data to be matched sent by other training participants, and extracting first sub-data corresponding to input data and second sub-data corresponding to tag data from the first data to be matched; obtaining second data to be matched obtained by the training participant after hashing the local data to be compared according to a data hashing scheme, and extracting third sub-data corresponding to the local input data and fourth sub-data corresponding to the local tag data from the second data to be matched; and matching the first sub data with the third sub data, and matching the second sub data with the fourth sub data when the first sub data is identical to the third sub data so as to determine repeated data in training data of the training participant.
Preferably, the matching the second sub-data with the fourth sub-data to determine the repeated data in the training data of the training participant includes: when the second sub-data is the same as the fourth sub-data, acquiring fifth sub-data from other training participants, wherein the fifth sub-data comprises strategy influence data corresponding to the tag data, and the strategy influence data comprises sensor data of sensors related to mining equipment in a preset period after a variable frequency control strategy corresponding to the tag data is adopted and adjustment frequency of a control strategy of the mining equipment in the preset period; obtaining sixth sub-data corresponding to strategy influence data corresponding to local tag data; and matching the fifth sub-data with the sixth sub-data, and determining the training data as repeated data when the difference between the fifth sub-data and the sixth sub-data accords with a difference threshold value.
Preferably, the acquiring the fifth sub-data from the other training participants includes: acquiring fifth sub-data in an inadvertent transmission mode; the matching the fifth sub data with the sixth sub data includes: setting a secure computation sandbox, matching the fifth sub data with the sixth sub data in the secure computation sandbox, and determining the difference between the fifth sub data and the sixth sub data to determine the repeated data.
Preferably, the method further comprises: after determining repeated data of a first training participant and a second training participant, acquiring first environment label data of first environment calibration data of the first training participant on the environment where the mining equipment is located; and taking the first environmental label data as a label of second environmental calibration data of the environment where the mining equipment of the second training participant is located, so as to train an environmental analysis model.
In a second aspect, the present application provides an integrated mining variable frequency speed regulation device control apparatus, applied to a server, the apparatus comprising: the system comprises an acquisition data acquisition module, a data processing module and a data processing module, wherein the acquisition data acquisition module is used for acquiring first acquisition data and second acquisition data of mining equipment, the first acquisition data are used for acquiring operation related data of the mining equipment, and the second acquisition data are environment related data of an area where the mining equipment belongs; the first result acquisition module is used for inputting the first acquired data into the operation analysis model for analysis and determining a first analysis result; the first result correction module is used for inputting the first analysis result and the second acquisition data into the environmental analysis model for analysis, determining the environmental impact quantity of the first analysis result, determining the adjustment quantity of the first analysis result, adjusting the first analysis result according to the adjustment quantity until the environmental impact quantity of the first analysis result accords with a preset threshold value, and determining a control scheme; and the control scheme issuing module is used for issuing the control scheme to the mining equipment.
In a third aspect, the present application provides an electronic device, including: a memory and at least one processor; the memory is used for storing computer execution instructions; the at least one processor is configured to execute computer-executable instructions stored in the memory, such that the at least one processor performs the method according to the first aspect.
In a fourth aspect, the present application provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method according to the first aspect.
The application provides an integrated mining variable frequency speed regulation equipment control method, which can be applied to a server, and comprises the following steps: acquiring first acquisition data and second acquisition data of mining equipment, wherein the first acquisition data are used for acquiring operation related data of the mining equipment, and the second acquisition data are environment related data of an area where the mining equipment belongs; inputting the first acquired data into an operation analysis model for analysis, and determining a first analysis result; inputting the first analysis result and the second acquired data into an environmental analysis model for analysis, determining the environmental impact quantity of the first analysis result to determine the adjustment quantity of the first analysis result, adjusting the first analysis result according to the adjustment quantity until the environmental impact quantity of the first analysis result accords with a preset threshold value, and determining a control scheme; and issuing a control scheme to the mining equipment.
The method and the device can be applied to the scene of managing the mining equipment, and the existing scheme is generally used for collecting the operation data of the mining equipment, analyzing the operation data and determining the corresponding control scheme so as to control the mining equipment; however, the existing scheme does not consider mutual interference between mining equipment and the surrounding environment of the mining equipment, and control of the mining equipment is unreasonable. According to the scheme, the operation related data of the mining equipment and the environment related data of the environment to which the mining equipment belongs can be obtained, the operation related data and the environment related data are analyzed, a reasonable control scheme is determined, and the reasonable control scheme is issued to the mining equipment to control the mining equipment more reasonably.
Specifically, the method can be applied to a server, the server can interact with a sensor (used for detecting operation related data) of the mining equipment and also can interact with a sensor (used for detecting environment related data) used for detecting the surrounding environment of the mining equipment, the server can acquire first acquired data and second acquired data of the mining equipment, the first acquired data are used for acquiring the operation related data of the mining equipment, and the second acquired data are environment related data of an area where the mining equipment belongs; inputting the first acquired data into an operation analysis model for analysis, and determining a first analysis result; inputting the first analysis result and the second acquired data into an environmental analysis model for analysis, determining the environmental impact quantity of the first analysis result to determine the adjustment quantity of the first analysis result, adjusting the first analysis result according to the adjustment quantity until the environmental impact quantity of the first analysis result accords with a preset threshold value, and determining a control scheme; and issuing a control scheme to the mining equipment, and carrying out variable-frequency speed regulation treatment on the mining equipment according to the control scheme. According to the method and the device, the first analysis result can be determined according to the operation related data of the mining equipment, and the influence of the first analysis result on the environment is simulated based on the first analysis result and the environment related data, so that the influence of the mining equipment on the environment and the influence of the environment on the mining equipment are controlled within a reasonable range, the problem of frequent variable frequency speed regulation caused by the mutual continuous influence between the mining equipment and the surrounding environment can be avoided, and the mining equipment can be controlled more reasonably.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention and do not constitute a limitation on the invention. In the drawings:
FIG. 1 is a flow chart of a method for controlling an integrated mining variable frequency speed control device according to one embodiment of the present application;
FIG. 2 is a schematic diagram of the steps of a control method of an integrated mining variable frequency speed control device according to one embodiment of the present application;
fig. 3 is a schematic structural diagram of a control device of an integrated mining variable frequency speed regulating device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The method and the device can be applied to the scene of managing the mining equipment, and the existing scheme is generally used for collecting the operation data of the mining equipment, analyzing the operation data and determining the corresponding control scheme so as to control the mining equipment; however, the existing scheme does not consider mutual interference between the mining equipment and the surrounding environment of the mining equipment, for example, when the mining equipment is stopped or needs to be stored, a place with good drying and ventilation is selected for storage, so that the mining equipment is prevented from being exposed to a humid environment for a long time, and the humid air and moisture can corrode and damage the equipment; of course, the mining equipment also affects the surrounding environment, for example, when the mining equipment works, a great amount of heat can be generated, the temperature of the environment is raised, and the influence of the mining equipment on the environment is considered in the process of controlling the environment; at present, the control of mining equipment is unreasonable. According to the scheme, the operation related data of the mining equipment and the environment related data of the environment to which the mining equipment belongs can be obtained, the operation related data and the environment related data are analyzed, a reasonable control scheme is determined, and the reasonable control scheme is issued to the mining equipment to control the mining equipment more reasonably.
Specifically, as shown in fig. 1, the method of the present application may be applied to a server, where the server may interact with a sensor (for detecting operation-related data) of a mining device, and may also interact with a sensor (for detecting environment-related data) for detecting an environment around the mining device, and the server may acquire first acquired data and second acquired data of the mining device, where the first acquired data is used to acquire operation-related data of the mining device, and the second acquired data is environment-related data of an area (or an environment) to which the mining device belongs; inputting the first acquired data into an operation analysis model for analysis, and determining a first analysis result; inputting the first analysis result and the second acquired data into an environmental analysis model for analysis, determining the environmental impact quantity of the first analysis result to determine the adjustment quantity of the first analysis result, adjusting the first analysis result according to the adjustment quantity until the environmental impact quantity of the first analysis result accords with a preset threshold value, and determining a control scheme; and issuing a control scheme to the mining equipment, and carrying out variable-frequency speed regulation treatment on the mining equipment according to the control scheme.
Specifically, the embodiment of the application provides a control method of an integrated mining variable frequency speed regulation device, which can be applied to a server, as shown in fig. 2, and the method comprises the following steps:
step 202, acquiring first acquisition data and second acquisition data of mining equipment, wherein the first acquisition data are used for acquiring operation related data of the mining equipment, and the second acquisition data are environment related data of an area where the mining equipment belongs. The first collected data may be data of sensors directly connected to the mining equipment and the second collected data may be data of sensors deployed within the area. The environmental related data may include data collected around the mine equipment by sensors such as temperature sensors, humidity sensors, gas composition sensors, gas flow rate sensors, air quality detection equipment, and the like. The operation related data may include data of the mining equipment itself detected by sensors such as a temperature sensor, a humidity sensor, a power sensor, a gas composition sensor, and the like, which are provided inside the mining equipment.
And 204, inputting the first acquired data into an operation analysis model for analysis, and determining a first analysis result. The operation analysis model is a pre-trained model.
Step 206, inputting the first analysis result and the second collected data into an environmental analysis model for analysis, so as to obtain an environmental result, wherein the environmental result is the output of the gas, the gas includes but is not limited to carbon monoxide, carbon dioxide and the like, inputting different first analysis results (such as the current first analysis result and the first analysis result 2) and the same second collected data for a plurality of times, determining the environmental influence amount of the first analysis result according to the obtained different environmental result (such as the current environmental result 1 and the environmental result 2), wherein the environmental influence amount of the first analysis result= (environmental result 2-current environmental result), thereby determining the adjustment amount of the first analysis result according to the set environmental result, wherein the adjustment amount of the first analysis result= (set environmental result-current environmental result) x ((environmental result 2-current environmental result)/(first analysis result 2-current first analysis result)), and adjusting the first analysis result) according to the adjustment amount, so that the environmental result of the first analysis result meets a preset threshold, and the preset threshold is set according to the local mine environment requirement specification, thereby determining a control scheme. The environment analysis model is a pre-trained model, can simulate environment change, can adopt a neural network model, is specifically a BP (back propagation) neural network, is a multi-layer feedforward neural network trained according to an error reverse propagation algorithm, and is one of the most widely applied neural network models; the BP network is to add a plurality of layers (one layer or a plurality of layers) of neurons between an input layer and an output layer, wherein the neurons are called hidden units and have no direct connection with the outside, but the change of the state of the neurons can influence the relation between the input and the output, and each layer can be provided with a plurality of nodes.
The calculation process of the BP neural network consists of a forward calculation process and a reverse calculation process. In the forward propagation process, the input mode is processed layer by layer from the input layer through the hidden unit layer and is transferred to the output layer, and the state of each layer of neurons only affects the state of the next layer of neurons. If the expected output cannot be obtained at the output layer, the reverse propagation is carried out, the error signal is returned along the original connecting path, and the weight of each neuron is modified to minimize the error signal.
Step 208, issuing a control scheme to the mining equipment.
According to the scheme, the data of a plurality of training participants can be adopted to train the operation analysis model, and before training, the plurality of training participants can screen out repeated training data and perform training after de-duplication. Specifically, as an optional embodiment, the method further includes the step of training the running analysis model: determining a plurality of training participants, and determining repeated data in training data of the plurality of training participants; after duplicate data in training data of a plurality of training participants are de-duplicated, input data in the training data is input into an operation analysis model, a first prediction result is determined, and the prediction result is calibrated according to label data in the training data and weight values of the label data so as to adjust the operation analysis model, namely when the input data in the training data is input into the operation analysis model, the weight of the label data and the label data in the training data is used as second input data, and a second prediction result is obtained again and the first prediction result is calibrated until the trained operation analysis model is determined; the input data of the training data comprise sensor data of sensors related to the mining equipment, the tag data of the training data comprise a variable frequency control strategy for the mining equipment, and the weight value is determined according to the influence of the variable frequency control strategy on the surrounding environment of the mining equipment and the loss of the mining equipment after the variable frequency control strategy is adopted, namely the weight value = environmental influence rate; wherein the environmental impact rate = impact on the surrounding of the mining equipment after the variable frequency control strategy is adopted/impact on the surrounding of the mining equipment when the variable frequency control strategy is not adopted; loss rate of mine equipment = adjustment frequency of control strategy of mine equipment in a preset period after the variable frequency control strategy is adopted/adjustment frequency of control strategy of mine equipment in a preset period when the variable frequency control strategy is not adopted. The existing training data in the scheme are usually the operation data of the mining equipment collected by the sensors of the mining equipment and the corresponding variable frequency control strategy, and the influence of the environment is not considered. Therefore, the scheme can also determine the influence of different variable frequency control strategies on the model according to the weight value so as to train the model better. Accordingly, the weight value of the variable frequency control strategy (tag data in the training data) may be determined by analysis of the subsequent relevant data of the variable frequency control strategy, and in particular, as an optional embodiment, the method further comprises the step of determining the weight value of the tag data in the training data: determining the influence of the variable frequency control strategy on the surrounding environment of the mining equipment according to sensor data related to the mining equipment in a preset period after the variable frequency control strategy is adopted; determining loss of the mining equipment according to the adjustment frequency of the control strategy of the mining equipment in a preset period after the variable frequency control strategy is adopted; to determine the weight value of the tag data. After the variable frequency control strategy is adopted, the surrounding environment may change due to the influence of mining equipment, so that whether the variable frequency control strategy is reasonable or not can be determined by analyzing sensor data or the adjustment frequency of the control strategy, and the weight value is determined. The operation analysis model can adopt a neural network model, wherein the neural network model is specifically BP (back propagation) neural network, is a multi-layer feedforward neural network trained according to an error reverse propagation algorithm, and is one of the most widely applied neural network models; the BP network is to add a plurality of layers (one layer or a plurality of layers) of neurons between an input layer and an output layer, wherein the neurons are called hidden units and have no direct connection with the outside, but the change of the state of the neurons can influence the relation between the input and the output, and each layer can be provided with a plurality of nodes.
The calculation process of the BP neural network consists of a forward calculation process and a reverse calculation process. In the forward propagation process, the input mode is processed layer by layer from the input layer through the hidden unit layer and is transferred to the output layer, and the state of each layer of neurons only affects the state of the next layer of neurons. If the expected output cannot be obtained at the output layer, the reverse propagation is carried out, the error signal is returned along the original connecting path, and the weight of each neuron is modified to minimize the error signal.
The data collected by the sensors may not be identical and may be similar, for example, the collected temperature is 14 degrees and 15 degrees, and the data is relatively close to the data and can be regarded as the same data, so that the scheme can normalize the data and amplify the data into a mapping interval when analyzing whether the data of different training participants are repeated, further remove binary suffixes and obtain binary prefixes (the binary prefixes of the 14 and 15 are the same), and further judge whether the data are repeated. Specifically, as an optional embodiment, the determining the repeated data in the training data of the plurality of training participants includes: issuing a data alignment strategy to each training participant, wherein the data alignment strategy comprises a first strategy for determining the number of data bits reserved after data normalization and a second strategy for mapping the normalized data to a mapping interval, each training participant performs normalization processing on input data and tag data of training data according to the first strategy, maps the normalized data according to the second strategy to determine mapping data in the mapping interval, and extracts a binary prefix as data to be compared after converting the mapping data into binary; and issuing a data hash scheme to each training participant so that each training participant hashes the data to be compared according to the data hash scheme to obtain data to be matched, and transmitting the data to be matched to other training participants to determine repeated data in the training data of the training participants according to the data to be matched.
In this scheme, whether the input data are the same or not can be analyzed first, whether the tag data are the same or not can be analyzed, and then the repeated data are judged, specifically, as an optional embodiment, the step of determining the repeated data in the training data of the training participant by the training participant according to the data to be matched includes: receiving first data to be matched sent by other training participants, and extracting first sub-data corresponding to input data and second sub-data corresponding to tag data from the first data to be matched; obtaining second data to be matched obtained by the training participant after hashing the local data to be compared according to a data hashing scheme, and extracting third sub-data corresponding to the local input data and fourth sub-data corresponding to the local tag data from the second data to be matched; and matching the first sub data with the third sub data, and matching the second sub data with the fourth sub data when the first sub data is identical to the third sub data so as to determine repeated data in training data of the training participant.
In this embodiment, after determining that the input data and the tag data are the same, even if the input data and the tag data are the same, the rationality of the data may be different, so it may be analyzed whether the policy influence data (also used for determining the weight value, so the weight value may be compared during subsequent comparison) is the same, and further the duplicate data is determined, and specifically, as an optional embodiment, the matching the second sub-data with the fourth sub-data to determine the duplicate data in the training data of the training participant includes: when the second sub-data is the same as the fourth sub-data, acquiring fifth sub-data from other training participants, wherein the fifth sub-data comprises strategy influence data corresponding to the tag data, and the strategy influence data comprises sensor data of sensors related to mining equipment in a preset period after a variable frequency control strategy corresponding to the tag data is adopted and adjustment frequency of a control strategy of the mining equipment in the preset period; obtaining sixth sub-data corresponding to strategy influence data corresponding to local tag data; and matching the fifth sub-data with the sixth sub-data, and determining the training data as repeated data when the difference between the fifth sub-data and the sixth sub-data accords with a difference threshold value. The weight corresponding to the control strategy can be determined according to the change of the sensor data after the variable frequency control strategy is adopted, if the temperature change is gradually increased under the condition that other conditions are unchanged, the control strategy can be judged to cause the increase of the environmental temperature, and the strategy weight value is lower. Or the higher the policy adjustment frequency, the lower the policy weight value.
In order to ensure data security, the scheme can acquire the fifth sub-data in an inadvertent transmission mode, so that a party providing the fifth sub-data is prevented from knowing which data is provided. A secure sandbox (or sandbox) may be provided on the data receiver to protect the matching process of the data, specifically, as an alternative embodiment, the obtaining the fifth sub-data from the other training participants includes: acquiring fifth sub-data in an inadvertent transmission mode; the matching the fifth sub data with the sixth sub data includes: setting a secure computation sandbox, matching the fifth sub data with the sixth sub data in the secure computation sandbox, and determining the difference between the fifth sub data and the sixth sub data to determine the repeated data.
For the repeated data, it may be determined that the influence of two training participant variable frequency control strategies on the environment is the same, and the environments of the corresponding mining equipment are the same or similar, so that the label of the environment data of one participant may be adopted as the label of the environment data of the other participant. Specifically, as an optional embodiment, the method further includes: after determining repeated data of a first training participant and a second training participant, acquiring first environment label data of first environment calibration data of the first training participant on the environment where the mining equipment is located; and taking the first environmental label data as a label of second environmental calibration data of the environment where the mining equipment of the second training participant is located, so as to train an environmental analysis model.
On the basis of the above embodiment, the embodiment of the present application further provides an integrated mining variable frequency speed regulation device control apparatus, which is applied to a server, as shown in fig. 3, and the apparatus includes:
the acquisition data acquisition module 302 is configured to acquire first acquisition data and second acquisition data of the mining device, where the first acquisition data is used to acquire operation related data of the mining device, and the second acquisition data is environment related data of an area to which the mining device belongs.
The first result obtaining module 304 is configured to input the first collected data into the operation analysis model for analysis, and determine a first analysis result.
The first result correction module 306 is configured to input the first analysis result and the second collected data into the environmental analysis model for analysis, determine an environmental impact amount of the first analysis result, determine an adjustment amount of the first analysis result, and adjust the first analysis result according to the adjustment amount until the environmental impact amount of the first analysis result meets a preset threshold, and determine a control scheme.
A control scheme issuing module 308 for issuing a control scheme to the mining equipment.
The implementation manner of the embodiment of the present application is similar to the implementation manner of the embodiment of the method, and the specific implementation manner may refer to the specific implementation manner of the embodiment of the method, which is not repeated herein.
On the basis of the above embodiment, the present application further provides an electronic device, including: a memory and at least one processor; the memory is used for storing computer execution instructions; the at least one processor is configured to execute computer-executable instructions stored in the memory, such that the at least one processor performs the method as described in the above embodiments.
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the processes of the data processing method embodiment, and can achieve the same technical effects, so that repetition is avoided and no further description is given here. Wherein the computer readable storage medium is selected from Read-Only Memory (ROM), random access Memory (Random ACGess Memory, RAM), magnetic disk or optical disk.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may 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, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. According to the definitions herein, the computer-readable medium does not include a transitory computer-readable medium (transmission medium), such as a modulated data signal and carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present invention and is not intended to limit the present invention. Various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. The control method of the integrated mining variable-frequency speed regulation equipment is characterized by being applied to a server, and comprises the following steps:
acquiring first acquisition data and second acquisition data of mining equipment, wherein the first acquisition data are used for acquiring operation related data of the mining equipment, and the second acquisition data are environment related data of an area where the mining equipment belongs;
inputting the first acquired data into an operation analysis model for analysis, and determining a first analysis result;
inputting the first analysis result and the second acquired data into an environmental analysis model for analysis, determining the environmental impact quantity of the first analysis result to determine the adjustment quantity of the first analysis result, adjusting the first analysis result according to the adjustment quantity until the environmental impact quantity of the first analysis result accords with a preset threshold value, and determining a control scheme;
and issuing a control scheme to the mining equipment.
2. The method for controlling an integrated mining variable frequency speed control device according to claim 1, further comprising the step of training an operational analysis model:
determining a plurality of training participants, and determining repeated data in training data of the plurality of training participants;
after duplicate data in training data of a plurality of training participants are de-duplicated, input data in the training data are input into an operation analysis model, a prediction result is determined, and the prediction result is calibrated according to label data in the training data and weight values of the label data so as to adjust the operation analysis model until the trained operation analysis model is determined; the input data of the training data comprise sensor data related to the mining equipment, the tag data of the training data comprise a variable frequency control strategy for the mining equipment, and the weight value is determined according to the influence of the variable frequency control strategy on the surrounding environment of the mining equipment and the loss of the mining equipment after the variable frequency control strategy is adopted.
3. The method for controlling an integrated mining variable frequency speed control device according to claim 2, further comprising the step of determining a weight value of tag data in training data:
determining the influence of the variable frequency control strategy on the surrounding environment of the mining equipment according to sensor data related to the mining equipment in a preset period after the variable frequency control strategy is adopted; determining loss of the mining equipment according to the adjustment frequency of the control strategy of the mining equipment in a preset period after the variable frequency control strategy is adopted; to determine the weight value of the tag data.
4. The method for controlling an integrated mining variable frequency speed control device according to claim 2, wherein determining the repeated data in the training data of the plurality of training participants comprises:
issuing a data alignment strategy to each training participant, wherein the data alignment strategy comprises a first strategy for determining the number of data bits reserved after data normalization and a second strategy for mapping the normalized data to a mapping interval, each training participant performs normalization processing on input data and tag data of training data according to the first strategy, maps the normalized data according to the second strategy to determine mapping data in the mapping interval, and extracts a binary prefix as data to be compared after converting the mapping data into binary;
and issuing a data hash scheme to each training participant so that each training participant hashes the data to be compared according to the data hash scheme to obtain data to be matched, and transmitting the data to be matched to other training participants to determine repeated data in the training data of the training participants according to the data to be matched.
5. The method for controlling an integrated mining variable frequency speed control device according to claim 4, wherein the step of determining repeated data in training data of the training participant by the training participant according to the data to be matched comprises the steps of:
receiving first data to be matched sent by other training participants, and extracting first sub-data corresponding to input data and second sub-data corresponding to tag data from the first data to be matched;
obtaining second data to be matched obtained by the training participant after hashing the local data to be compared according to a data hashing scheme, and extracting third sub-data corresponding to the local input data and fourth sub-data corresponding to the local tag data from the second data to be matched;
and matching the first sub data with the third sub data, and matching the second sub data with the fourth sub data when the first sub data is identical to the third sub data so as to determine repeated data in training data of the training participant.
6. The method for controlling an integrated mining variable frequency speed control device according to claim 5, wherein the matching the second sub-data with the fourth sub-data to determine the repeated data in the training data of the training participant comprises:
when the second sub-data is the same as the fourth sub-data, acquiring fifth sub-data from other training participants, wherein the fifth sub-data comprises strategy influence data corresponding to the tag data, and the strategy influence data comprises sensor data of sensors related to mining equipment in a preset period after a variable frequency control strategy corresponding to the tag data is adopted and adjustment frequency of a control strategy of the mining equipment in the preset period;
obtaining sixth sub-data corresponding to strategy influence data corresponding to local tag data;
and matching the fifth sub-data with the sixth sub-data, and determining the training data as repeated data when the difference between the fifth sub-data and the sixth sub-data accords with a difference threshold value.
7. The method for controlling an integrated mining variable frequency speed control device according to claim 6, wherein the obtaining fifth sub-data from other training participants comprises:
acquiring fifth sub-data in an inadvertent transmission mode;
the matching the fifth sub data with the sixth sub data includes:
setting a secure computation sandbox, matching the fifth sub data with the sixth sub data in the secure computation sandbox, and determining the difference between the fifth sub data and the sixth sub data to determine the repeated data.
8. The method for controlling the integrated mining variable frequency speed control equipment according to claim 6, wherein the method further comprises:
after determining repeated data of a first training participant and a second training participant, acquiring first environment label data of first environment calibration data of the first training participant on the environment where the mining equipment is located;
and taking the first environmental label data as a label of second environmental calibration data of the environment where the mining equipment of the second training participant is located, so as to train an environmental analysis model.
9. An integrated mining variable frequency speed regulation equipment control device, which is characterized in that the device is applied to a server and comprises:
the system comprises an acquisition data acquisition module, a data processing module and a data processing module, wherein the acquisition data acquisition module is used for acquiring first acquisition data and second acquisition data of mining equipment, the first acquisition data are used for acquiring operation related data of the mining equipment, and the second acquisition data are environment related data of an area where the mining equipment belongs;
the first result acquisition module is used for inputting the first acquired data into the operation analysis model for analysis and determining a first analysis result;
the first result correction module is used for inputting the first analysis result and the second acquisition data into the environmental analysis model for analysis, determining the environmental impact quantity of the first analysis result, determining the adjustment quantity of the first analysis result, adjusting the first analysis result according to the adjustment quantity until the environmental impact quantity of the first analysis result accords with a preset threshold value, and determining a control scheme;
and the control scheme issuing module is used for issuing the control scheme to the mining equipment.
10. An electronic device, comprising: a memory and at least one processor;
the memory is used for storing computer execution instructions;
the at least one processor is configured to execute computer-executable instructions stored in the memory, such that the at least one processor performs the method of any one of claims 1-8.
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