CN113742431A - Method and system for managing working surface measurement data - Google Patents
Method and system for managing working surface measurement data Download PDFInfo
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Abstract
The invention provides a method and a system for managing measured data of a working face, and relates to the field of data analysis. The working face measurement data management method comprises the following steps: acquiring original working surface measurement data; preprocessing the working surface measurement data by using a data preprocessing method and storing the data into a relational database; constructing a computable data model, and adopting a multi-source data fusion and deep learning algorithm to realize data mirroring and data exchange of physical entity data and stored working face measurement data; and according to the time line of the working face measured data distribution cloud chart of the data exchange operation, dynamically deducing the change trend of the working face measured data pressure. The method can realize image reconstruction, bidirectional communication, information interaction and virtual monitoring between a digital twin body and a physical entity based on machine vision and a convolutional neural network deep learning algorithm. In addition, the invention also provides a working surface measurement data management system.
Description
Technical Field
The invention relates to the field of data analysis, in particular to a method and a system for managing measurement data of a working face.
Background
The quality of the data represents the degree to which the data meets the expectations of the data consumers based on their usage expectations for the data. The data quality must be measurable, converting the results of the measurements into understandable and repeatable numbers, enabling us to compare between different objects and across different times. Data quality management is the use of quality management techniques to measure, evaluate, improve, and ensure the proper use of data through planning, enforcement, and control activities.
Mine pressure changes caused by ore mining are main factors causing disasters such as rock burst, coal and gas outburst and the like. The research on the pressure change rule of the stope mine has important significance for guaranteeing safe production, high yield and high efficiency of the coal mine. The method for controlling and researching the stope surrounding rock comprises theoretical research, similar material simulation experiment, mine pressure numerical analysis, field mine pressure observation and the like. The method for observing and researching the mine pressure site is characterized in that various mine pressure monitoring instruments are utilized to directly observe and record the mine pressure display at the production site, so that the most direct and reliable surrounding rock stress parameters and displacement parameters, and the deformation and working resistance of supports in stopes and roadways are obtained, the method is simple, convenient and feasible, various coal mine safety accidents related to the mine pressure can be effectively monitored and controlled, and meanwhile, a reliable basis is provided for coal mine safety production management, accident prevention, theoretical research and the like.
Disclosure of Invention
The invention aims to provide a working face measurement data management method which can realize mirror image reconstruction, bidirectional communication, information interaction and virtual monitoring between a digital twin body and a physical entity based on machine vision and a convolutional neural network deep learning algorithm.
Another object of the present invention is to provide a work surface measurement data management system capable of operating a work surface measurement data management method.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides a method for managing measurement data of a working plane, including obtaining measurement data of an original working plane; preprocessing the working surface measurement data by using a data preprocessing method and storing the data into a relational database; constructing a computable data model, and adopting a multi-source data fusion and deep learning algorithm to realize data mirroring and data exchange of physical entity data and stored working face measurement data; and according to the time line of the working face measured data distribution cloud chart of the data exchange operation, dynamically deducing the change trend of the working face measured data pressure.
In some embodiments of the present invention, the acquiring raw working surface measurement data includes: and extracting the original working face measurement data according to the sampling time period, the start and stop points of the working face trend and the row and column number of the grid data to obtain sampling data.
In some embodiments of the present invention, the above further includes: and defining a conversion relation between a working surface coordinate system, a picture drawing coordinate system, a picture resolution and working surface measurement data, and generating grid data corresponding to the data grid according to the sample data.
In some embodiments of the present invention, the preprocessing the working surface measurement data by using the data preprocessing method and storing the working surface measurement data in the relational database includes: dividing the whole working surface into n different areas, determining the most middle position of each area in the different areas, wherein the measured data equipment at other positions in each area is the target measured data equipment.
In some embodiments of the present invention, the above further includes: determining measurement data and target measurement data, and determining source domain data and target domain data of target measurement data equipment; the source domain data of the measurement data equipment, the training set data of the data model to be established for the measurement data equipment, the target domain data of the measurement data equipment, the test set data of the data model to be established for the measurement data equipment, the source domain data of the target measurement data equipment, the training set data of the data model to be established for the measurement data equipment, the target domain data of the target measurement data equipment and the test set data of the data model to be established for the target measurement data equipment are obtained through the data analysis and calculation.
In some embodiments of the present invention, constructing the calculable data model and implementing data mirroring and data exchange between the physical entity data and the stored working surface measurement data by using the multi-source data fusion and the deep learning algorithm includes: the method comprises the steps of taking the working face measurement data as input, outputting the working face measurement data after multi-source data fusion, storing real-time data, historical data and a physical model of the working face measurement data in a relational database, and carrying out data mirroring and data exchange on the stored working face measurement data.
In some embodiments of the present invention, the above-mentioned operating the time line of the working plane measurement data distribution cloud according to data exchange to dynamically deduce the trend of the pressure change of the working plane measurement data includes: and generating grid data corresponding to the data grid according to the sample data, and drawing a data distribution cloud picture according to the grid data, a working surface measurement coordinate system, a picture drawing coordinate system, and a conversion relation between the picture resolution and the working surface trend length and trend length.
In a second aspect, an embodiment of the present application provides a working plane measurement data management system, which includes an obtaining module, configured to obtain original working plane measurement data;
the preprocessing module is used for preprocessing the working face measurement data by using a data preprocessing method and storing the data into a relational database;
the model building module is used for building a computable data model and realizing data mirroring and data exchange of physical entity data and stored working face measurement data by adopting a multi-source data fusion and deep learning algorithm;
and the data exchange module is used for dynamically deducing the change trend of the pressure of the measurement data of the working face according to the time line of the cloud chart distributed by the measurement data of the working face of the data exchange operation.
In some embodiments of the invention, the above includes: at least one memory for storing computer instructions; at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to: the device comprises an acquisition module, a preprocessing module, a construction model module and a data exchange module.
In a third aspect, embodiments of the present application provide a computer-readable storage medium on which a computer program is stored, the computer program, when executed by a processor, implementing a method as any one of the methods for managing measurement data of a working plane.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
the method can realize image reconstruction, bidirectional communication, information interaction and virtual monitoring between a digital twin body and a physical entity based on machine vision and a convolutional neural network deep learning algorithm. The remote visual intelligent monitoring is realized through the digital twin virtual unmanned fully-mechanized working face, the problems that the mine unmanned fully-mechanized working face is difficult to perform real-time monitoring, accurate positioning, equipment health prediction and the like are solved, and the real-time performance, the accuracy and the system robustness of the mine unmanned fully-mechanized working face monitoring are improved. An independent data acquisition strategy is designed for each data source, and finally the data acquisition strategies are integrated into unified data acquisition software, meanwhile, acquired gas extraction data are preprocessed, the data quality is improved, extraction digital management and online process judgment are achieved based on the preprocessed data, reasonable estimated residual time is given to unqualified evaluation units, and an auxiliary decision suggestion is provided for coal mine production.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a schematic diagram illustrating steps of a method for managing measurement data of a working plane according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating detailed steps of a method for managing measurement data of a working plane according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a working plane measurement data management system module according to an embodiment of the present invention;
fig. 4 is an electronic device according to an embodiment of the present invention.
Icon: 10-an acquisition module; 20-a pre-processing module; 30-constructing a model module; 40-a data exchange module; 101-a memory; 102-a processor; 103-communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
It is to be noted that the term "comprises," "comprising," or any other variation thereof is 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the individual features of the embodiments can be combined with one another without conflict.
Example 1
Referring to fig. 1, fig. 1 is a schematic diagram illustrating steps of a method for managing measurement data of a working plane according to an embodiment of the present invention, which is shown as follows:
step S100, obtaining original working surface measurement data;
in some embodiments, a support supporting force distribution cloud picture is drawn according to original working surface measurement data, the support supporting force distribution cloud picture comprises a data grid with picture pixels as acquisition points, wherein the horizontal direction, the vertical direction, the cell color and the color change of the grid are respectively mapped into a working surface advancing footage, a support space layout, a supporting force observation value and an observation value change condition; and receiving human-computer interaction operation, adjusting the time line of the bracket supporting force distribution cloud chart according to the human-computer interaction operation, and dynamically deducing the change trend of the working face top plate pressure in a visual form.
Step S110, preprocessing the working face measurement data by using a data preprocessing method and storing the data into a relational database;
in some embodiments, the data continuity check is carried out on the gas extraction online monitoring data acquired by the data acquisition software, missing data restoration algorithm based on EM and a sliding window is adopted to process the online monitoring data with discontinuous data, and a discontinuous sampling interpolation method based on data fitting is adopted to improve the data quality of the manual measurement data.
Step S120, a computable data model is built, and data mirroring and data exchange of physical entity data and stored working face measurement data are achieved by adopting a multi-source data fusion and deep learning algorithm;
in some embodiments, the support force observation data is drawn into a picture to form a data grid with picture pixels as acquisition points, and the horizontal direction, the vertical direction, the cell color and the color change of the grid are mapped to the working face advancing footage, the support space layout, the support force observation value and the observation value change condition respectively. The visual analysis system of roof pressure collects the observation data of the support supporting force, dynamically draws the cloud picture of the support supporting force distribution by taking time as a sequence, adjusts the time line in a man-machine interaction mode, dynamically deduces the variation trend of the roof pressure of the working face in a visual mode, and comprehensively displays the information of the periodic roof pressure law, the pressure step pitch, the pressure intensity and the like hidden in the observation data.
And step S130, dynamically deducing the change trend of the pressure of the measurement data of the working face according to the time line of the cloud chart of the measurement data distribution of the working face of the data exchange operation.
In some embodiments, the spatial layout of the working face support and the top plate bearing pressure are combined, and a support supporting force distribution cloud picture representation method capable of reflecting the variation relation of the advancing footage, the extraction speed and the support supporting force is formed along with the advancing of the working face. The visual analysis system for the roof pressure collects observation data of the support supporting force, dynamically draws a cloud picture of the support supporting force distribution by taking time as a sequence, adjusts a time line in a man-machine interaction mode, dynamically deduces the variation trend of the roof pressure of a working face in a visual mode, can observe the periodic roof pressure coming law, the coming pressure step pitch and the coming pressure intensity along with the advancing process of the working face, assists a roof manager to predict the mine pressure, controls the mine pressure to appear, and provides a decision analysis tool for guaranteeing the safety production of a coal mine.
Example 2
Referring to fig. 2, fig. 2 is a detailed step diagram of a method for managing measurement data of a working plane according to an embodiment of the present invention, which is shown as follows:
and S200, extracting the original working surface measurement data according to the sampling time period, the start and stop points of the working surface trend and the number of rows and columns of the grid data to obtain sampling data.
Step S210, defining a conversion relation between a working surface coordinate system, a picture drawing coordinate system, a picture resolution and working surface measurement data, and generating grid data corresponding to a data grid according to sample data.
Step S220, the whole working surface is divided into n different areas, the most middle position of each area is determined in the different areas, and the measured data devices at other positions in each area are target measured data devices.
Step S230, determining the measurement data and the target measurement data, and determining the source domain data and the target domain data of the target measurement data device.
And S240, taking the working face measurement data as input, outputting the working face measurement data after multi-source data fusion, storing the real-time data, the historical data and the physical model of the working face measurement data in a relational database, and mirroring the data of the stored working face measurement data and exchanging the data.
And step S250, generating grid data corresponding to the data grid according to the sample data, and drawing a data distribution cloud picture according to the conversion relation among the grid data, the working surface measurement coordinate system, the picture drawing coordinate system, the picture resolution and the working surface trend length and the trend length.
In some embodiments, the information of the gas extraction working face is displayed in a list form, and the data is screened and checked according to the region, the coal mine, the type of the gas emission quantity, the standard reaching standard and the type of the working face.
The method is characterized in that information of the gas extraction evaluation unit is displayed in a list form, data are screened and checked according to regions, coal mines and affiliated working faces, and the method has the functions of evaluation unit measuring point configuration, coal bed basic parameter configuration, basic condition judgment, outburst prevention measure uploading and the like. And displaying the coal bed information of the mine in a list form, and supporting the introduction of the coal bed information according to a template. The manual measuring point information is displayed in a list form, and the measuring point data recording function is achieved.
Meanwhile, drawing a two-dimensional and three-dimensional extraction drill hole arrangement diagram according to the two-dimensional and three-dimensional control coordinate data of the drill hole, judging the rationality of the extraction drill hole arrangement, and judging an evaluation unit by combining manual filling data such as gas extraction planning, annual planning, extraction standard-reaching process scheme design, extraction completion acceptance data and the like.
According to the gas extraction standard judgment model, the indexes of the evaluation unit such as the partition rationality, the residual gas content and the residual gas pressure are judged by combining the gas monitoring data and the flow measurement data which are manually filled and reported, and the judgment result is displayed in a list form.
And the final judgment measured data is displayed in a list form, and the management and maintenance functions of the measured data are realized. And according to the final judgment measured data, combining the gas monitoring data with the flow measurement data manually filled, judging indexes of the evaluation unit such as the partition rationality, the residual gas content, the residual gas pressure, the wind speed, the return flow gas concentration and the like, and displaying a judgment result in a list form.
Example 3
Referring to fig. 3, fig. 3 is a schematic diagram of a working plane measured data management system module according to an embodiment of the present invention, which is shown as follows:
the acquisition module 10 is used for acquiring original working surface measurement data;
the preprocessing module 20 is configured to preprocess the working surface measurement data by using a data preprocessing method and store the preprocessed working surface measurement data in a relational database;
the model building module 30 is used for building a computable data model and realizing data mirroring and data exchange between physical entity data and stored working face measurement data by adopting a multi-source data fusion and deep learning algorithm;
and the data exchange module 40 is used for dynamically deducing the change trend of the pressure of the measurement data of the working face according to the time line of the working face measurement data distribution cloud chart of the data exchange operation.
As shown in fig. 4, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs; a processor 102. The one or more programs, when executed by the processor 102, implement the method of any of the first aspects as described above.
Also included is a communication interface 103, and the memory 101, processor 102 and communication interface 103 are electrically connected to each other, directly or indirectly, to enable transfer or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, and the processor 102 executes the software programs and modules stored in the memory 101 to thereby execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory 101 (RAM), a Read Only Memory 101 (ROM), a Programmable Read Only Memory 101 (PROM), an Erasable Read Only Memory 101 (EPROM), an electrically Erasable Read Only Memory 101 (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor 102, including a Central Processing Unit (CPU) 102, a Network Processor 102 (NP), and the like; but may also be a Digital Signal processor 102 (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed method and system and method can be implemented in other ways. The method and system embodiments described above are merely illustrative, for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In another aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by the processor 102, implements the method according to any one of the first aspect described above. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory 101 (ROM), a Random Access Memory 101 (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In summary, the working surface measurement data management method and system provided by the embodiment of the application can realize mirror image reconstruction, bidirectional communication, information interaction and virtual monitoring between a digital twin body and a physical entity based on machine vision and a convolutional neural network deep learning algorithm. The remote visual intelligent monitoring is realized through the digital twin virtual unmanned fully-mechanized working face, the problems that the mine unmanned fully-mechanized working face is difficult to perform real-time monitoring, accurate positioning, equipment health prediction and the like are solved, and the real-time performance, the accuracy and the system robustness of the mine unmanned fully-mechanized working face monitoring are improved. An independent data acquisition strategy is designed for each data source, and finally the data acquisition strategies are integrated into unified data acquisition software, meanwhile, acquired gas extraction data are preprocessed, the data quality is improved, extraction digital management and online process judgment are achieved based on the preprocessed data, reasonable estimated residual time is given to unqualified evaluation units, and an auxiliary decision suggestion is provided for coal mine production.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A method for managing measurement data of a working surface is characterized by comprising the following steps:
acquiring original working surface measurement data;
preprocessing the working surface measurement data by using a data preprocessing method and storing the data into a relational database;
constructing a computable data model, and adopting a multi-source data fusion and deep learning algorithm to realize data mirroring and data exchange of physical entity data and stored working face measurement data;
and according to the time line of the working face measured data distribution cloud chart of the data exchange operation, dynamically deducing the change trend of the working face measured data pressure.
2. The method of claim 1, wherein the obtaining raw work surface measurements comprises:
and extracting the original working face measurement data according to the sampling time period, the start and stop points of the working face trend and the row and column number of the grid data to obtain sampling data.
3. A method for managing measurement data of a working plane as set forth in claim 2, further comprising:
and defining a conversion relation between a working surface coordinate system, a picture drawing coordinate system, a picture resolution and working surface measurement data, and generating grid data corresponding to the data grid according to the sample data.
4. The method as claimed in claim 1, wherein the pre-processing the working plane measurement data by the data pre-processing method and storing the working plane measurement data in the relational database comprises:
dividing the whole working surface into n different areas, determining the most middle position of each area in the different areas, wherein the measured data equipment at other positions in each area is the target measured data equipment.
5. The method of claim 4, further comprising:
determining measurement data and target measurement data, and determining source domain data and target domain data of target measurement data equipment; the source domain data of the measurement data equipment, the training set data of the data model to be established for the measurement data equipment, the target domain data of the measurement data equipment, the test set data of the data model to be established for the measurement data equipment, the source domain data of the target measurement data equipment, the training set data of the data model to be established for the measurement data equipment, the target domain data of the target measurement data equipment and the test set data of the data model to be established for the target measurement data equipment are obtained through the data analysis and calculation.
6. The method for managing the measurement data of the working face according to claim 1, wherein the constructing a computable data model, and implementing data mirroring and data exchange between the physical entity data and the stored measurement data of the working face by using a multi-source data fusion and deep learning algorithm comprises:
the method comprises the steps of taking the working face measurement data as input, outputting the working face measurement data after multi-source data fusion, storing real-time data, historical data and a physical model of the working face measurement data in a relational database, and carrying out data mirroring and data exchange on the stored working face measurement data.
7. The method for managing the measurement data of the working face according to claim 1, wherein the operating the time line of the cloud graph of the distribution of the measurement data of the working face according to the data exchange to dynamically deduce the variation trend of the pressure of the measurement data of the working face comprises:
and generating grid data corresponding to the data grid according to the sample data, and drawing a data distribution cloud picture according to the grid data, a working surface measurement coordinate system, a picture drawing coordinate system, and a conversion relation between the picture resolution and the working surface trend length and trend length.
8. A work surface measurement data management system, comprising:
the acquisition module is used for acquiring original working surface measurement data;
the preprocessing module is used for preprocessing the working face measurement data by using a data preprocessing method and storing the data into a relational database;
the model building module is used for building a computable data model and realizing data mirroring and data exchange of physical entity data and stored working face measurement data by adopting a multi-source data fusion and deep learning algorithm;
and the data exchange module is used for dynamically deducing the change trend of the pressure of the measurement data of the working face according to the time line of the cloud chart distributed by the measurement data of the working face of the data exchange operation.
9. A work surface measurement data management system according to claim 8, comprising:
at least one memory for storing computer instructions;
at least one processor in communication with the memory, wherein the at least one processor, when executing the computer instructions, causes the system to perform: the device comprises an acquisition module, a preprocessing module, a construction model module and a data exchange module.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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