CN117648294A - Intelligent mine data fusion sharing method and system - Google Patents
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Abstract
The application relates to the technical field of data processing, and provides an intelligent mine data fusion sharing method and system. In the method, mine data are classified based on a service domain of the mine data, and hierarchical structure division is carried out on the mine data based on a pre-constructed data structure model; determining category membership of the classified mine data according to the hierarchical structure division result; based on a pre-constructed data element identification model, determining service objects and attributes of mine data according to category membership of the mine data; and respectively coding the data of different levels in the mine data classification system. By means of classifying and encoding the mine data, different mine data are provided with uniform marks which are convenient for the machine and the human to recognize and process, data barriers and information chimneys among different data are effectively solved, and a foundation is laid for fusion sharing and intelligent application of the mine data.
Description
Technical Field
The application relates to the technical field of data processing, in particular to an intelligent mine data fusion sharing method, device and system and a storage medium.
Background
Along with the rapid development of advanced technologies, the concept of intelligence has been deep into the heart. However, in the mine field, the basic data coding of the mine cannot reach a unified standardization level due to the differentiation caused by the sealing of various mine equipment interfaces and communication protocols, which definitely brings great difficulty to the integration work of the mine system. One side is the independent operation of each other, just like a data barrier which is difficult to surmount, and the other side is each information island, which is shaped like a special information chimney, so that intelligent analysis and intelligent application of the data of the mine are seriously hindered. These problems make the intelligent construction of mines challenging, and thus, speeding up the solution of this problem has been elusive.
Disclosure of Invention
The purpose of the application is to provide an intelligent mine data fusion sharing method, device, system and storage medium, so as to solve or alleviate the problems in the prior art.
In order to achieve the above object, the present application provides the following technical solutions:
the application provides an intelligent mine data fusion sharing method, which is used for fusion sharing of mine data of an acquired underground coal mine and comprises the following steps: step S101, classifying the mine data based on a service domain of the mine data, and carrying out hierarchical structure division on the mine data based on a pre-constructed data structure model; step S102, determining category membership of the classified mine data according to the hierarchical structure division result; step S103, determining service objects and attributes of the mine data based on a pre-constructed data element identification model according to category membership of the mine data so as to establish a classification system of the mine data; and step S104, respectively coding the data of different levels in the mine data classification system.
Preferably, step S101 includes: dividing the mine data into basic class data, production class data, safety class data and management class data according to the service objects and topics affiliated to the mine data; and dividing the mine data into five hierarchical structures of a theme zone group, a theme zone, a business object, a data entity and a data attribute based on a pre-constructed data structure model.
Preferably, step S102 includes: dividing the mine data into a plurality of theme zone groups based on the hierarchical structure of the mine data; dividing each topic domain group into a plurality of topic domains, and dividing each topic domain into a plurality of service objects, wherein each service object comprises a plurality of data entities and corresponding data attributes.
Preferably, the dividing the mine data into a plurality of the subject domain groups specifically includes: and dividing the mine data into a basic theme zone group, a production theme zone group, a safety theme zone group and a management theme zone group based on the mine service scene, the existing mine information scene and the future application scene of the mine of the underground coal mine.
Preferably, the dividing each topic domain group into a plurality of topic domains specifically includes: dividing basic class data in the mine data into 6 theme domains of license information, organization category, geological condition, exploitation condition, disaster condition and IT infrastructure; dividing production data in the mine data into 17 theme domains, namely coal mining, tunneling, power supply and distribution, lifting, main transportation, auxiliary transportation, ventilation, compressed air, water supply, drainage, cooling and refrigeration, washing, scheduling management, production technology management, production plan management, electromechanical management and blasting management; dividing safety data in mine data into 20 theme zones, namely roof management, rock burst prevention, water hazard prevention, fire prevention, gas prevention, dust prevention, heat hazard management, safety monitoring system, underground operation personnel management, video monitoring, communication scheduling, risk grading management and control, accident hidden trouble investigation and management, superior safety inspection, unsafe behavior management, accident management, safety training, occupational health detection management, emergency management and environmental protection; and dividing management type data in the mine data into 12 theme domains, namely human resource management, financial management, audit management, material management, equipment management, marketing management, energy conservation and emission reduction management, scientific and technological management, project management, legal management, comprehensive management and informationized management.
Preferably, step S103 includes: the intelligent business model of the underground coal mine constructed based on the IDEFO business modeling method is used for respectively identifying a plurality of topic domains in the same topic domain group to obtain a plurality of business objects; classifying a plurality of business objects in the same subject domain group based on a UML modeling method to obtain a plurality of data entities; and identifying a plurality of data entities in the same subject domain group based on a UML modeling method to obtain data attributes corresponding to each data entity.
Preferably, in step S104, the data corresponding to the theme zone group, the theme zone, the service object, the data entity, and the data attribute are respectively coded based on different coding types, coding lengths, and coding ranges.
The embodiment of the application also provides an intelligent mine data fusion sharing device for fusion sharing of mine data of an acquired underground coal mine, comprising: the structure dividing unit is configured to classify the mine data based on the service domain of the mine data and to divide the mine data into hierarchical structures based on a pre-constructed data structure model; the data relation determining unit is configured to determine category membership of the classified mine data according to the hierarchical structure division result; the classification system building unit is configured to determine service objects and attributes of the mine data according to category membership of the mine data based on a pre-constructed data element identification model so as to build a classification system of the mine data; and the data coding unit is configured to code the data of different levels in the mine data classification system respectively.
The embodiment of the application also provides an intelligent mine data fusion sharing system, which comprises: a memory, on which a computer program of the intelligent mine data fusion sharing method according to any one of the above embodiments is stored; and the processor is used for calling the computer program stored in the memory and executing the computer program.
The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, the computer program being executed to implement the intelligent mine data fusion sharing method according to any one of the above.
The beneficial effects are that:
the intelligent mine data fusion sharing method is used for fusion sharing of the acquired mine data of the underground coal mine, and is characterized by firstly classifying the mine data based on a service domain of the mine data and carrying out hierarchical structure division on the mine data based on a pre-constructed data structure model; then, determining category membership of the classified mine data according to the hierarchical structure division result; then, based on a pre-constructed data element identification model, determining service objects and attributes of the mine data according to category membership of the mine data so as to establish a classification system of the mine data; and finally, respectively coding the data of different levels in the classification system of the mine data. By means of classifying and encoding the mine data, different mine data are provided with uniform marks which are convenient for the machine and the human to recognize and process, data barriers and information chimneys among different data are effectively solved, and a foundation is laid for fusion sharing and intelligent application of the mine data.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. Wherein:
fig. 1 is a schematic flow chart of an intelligent mine data fusion sharing method according to some embodiments of the present application;
FIG. 2 is a hierarchical diagram of intelligent mine data classification provided in accordance with some embodiments of the present application;
FIG. 3 is a hierarchical correspondence of an intelligent mine provided in accordance with some embodiments of the present application;
FIG. 4 is a schematic diagram of intelligent mine data element identification logic provided in accordance with some embodiments of the present application;
FIG. 5 is a basic functional activity diagram of IDEF0 provided in accordance with some embodiments of the present application;
FIG. 6 is a schematic diagram of coal production business in a specific application scenario provided according to some embodiments of the present application;
FIG. 7 is a schematic illustration of independent demand business activity in a specific application scenario provided in accordance with some embodiments of the present application;
FIG. 8 is a diagram of an independent demand service sequence in a specific application scenario provided according to some embodiments of the present application;
FIG. 9 is a diagram of independent demand service classification in a specific application scenario provided according to some embodiments of the present application;
FIG. 10 is a schematic diagram of an intelligent mine hierarchy coding format provided in accordance with some embodiments of the present application;
fig. 11 is a schematic structural diagram of an intelligent mine data fusion sharing device according to some embodiments of the present application;
FIG. 12 is a schematic diagram of a structure of an intelligent mine data fusion sharing system provided in accordance with some embodiments of the present application;
fig. 13 is a hardware block diagram of an intelligent mine data fusion sharing system provided according to some embodiments of the present application.
Detailed Description
The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments. Various examples are provided by way of explanation of the present application and not limitation of the present application. Indeed, it will be apparent to those skilled in the art that modifications and variations can be made in the present application without departing from the scope or spirit of the application. For example, features illustrated or described as part of one embodiment can be used on another embodiment to yield still a further embodiment. Accordingly, it is intended that the present application include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
As shown in fig. 1, the intelligent mine data fusion sharing method includes:
step S101, classifying mine data based on a service domain of the mine data, and carrying out hierarchical structure division on the mine data based on a pre-constructed data structure model.
When the intelligent mine data is classified, different classification bases exist according to the multidimensional attribute of the data, and the classification bases can be divided from the dimensions of four classifications of data ownership, storage characteristics, description means and service domains. The data can be classified into external data and internal data according to the classification of the data main rights; classifying according to data storage characteristics, wherein the data can be divided into structured data and unstructured data; the data can be divided into business metadata, technical metadata and management metadata by description means. In the application, according to the service objects and topics affiliated to the mine data, the mine data is divided into basic class data, production class data, safety class data and management class data. After determining the basis of the classification dimension of the intelligent mine data, the mine data is divided into five hierarchical structures of a theme zone group, a theme zone, a service object, a data entity and a data attribute based on a pre-constructed data structure model, as shown in fig. 2.
And S102, determining category membership of the classified mine data according to the hierarchical structure division result.
Determining the hierarchical structure of data from the five layers of the theme zone group, the theme zone, the business object, the data entity and the data attribute, dividing the intelligent mine data into a category, a major category, a middle category, a minor category and a detail, and further determining the membership and the association relation of the data category, as shown in fig. 3. Specifically, based on a hierarchical structure of mine data, dividing the mine data into a plurality of theme zone groups; each topic domain group is divided into a plurality of topic domains, and each topic domain is divided into a plurality of business objects, wherein each business object comprises a plurality of data entities and corresponding data attributes.
When dividing mine data into a plurality of theme zone groups, dividing the mine data into a basic theme zone group, a production theme zone group, a safety theme zone group and a management theme zone group based on a mine service scene, an existing mine information scene and a future application scene of a mine of the underground coal mine.
When each topic domain group is divided into a plurality of topic domains, basic class data in the mine data are divided into 6 topic domains of license information, organization categories, geological conditions, exploitation conditions, disaster conditions and IT infrastructure;
dividing production data in the mine data into 17 theme domains, namely coal mining, tunneling, power supply and distribution, lifting, main transportation, auxiliary transportation, ventilation, compressed air, water supply, drainage, cooling and refrigeration, washing, scheduling management, production technology management, production plan management, electromechanical management and blasting management;
dividing safety data in mine data into 20 theme zones, namely roof management, rock burst prevention, water hazard prevention, fire prevention, gas prevention, dust prevention, heat hazard management, safety monitoring system, underground operation personnel management, video monitoring, communication scheduling, risk grading management and control, accident hidden trouble investigation and management, superior safety inspection, unsafe behavior management, accident management, safety training, occupational health detection management, emergency management and environmental protection;
and dividing management type data in the mine data into 12 theme domains, namely human resource management, financial management, audit management, material management, equipment management, marketing management, energy conservation and emission reduction management, scientific and technological management, project management, legal management, comprehensive management and informationized management.
Step S103, determining service objects and attributes of the mine data according to category membership of the mine data based on a pre-constructed data element identification model so as to establish a classification system of the mine data.
In the method, system engineering modeling is performed by adopting IDEF0, hierarchical structure identification and division are performed on intelligent mine service domains from top to bottom in terms of service attributes, and finally minimum service units are identified, so that a classification system of mine data is established.
Specifically, an intelligent business model of the underground coal mine constructed based on an IDEFO business modeling method is used for respectively identifying a plurality of topic domains in the same topic domain group to obtain a plurality of business objects; classifying a plurality of business objects in the same subject domain group based on a UML modeling method to obtain a plurality of data entities; and identifying a plurality of data entities in the same subject domain group based on a UML modeling method to obtain data attributes corresponding to each data entity.
In the process, based on the existing service of the intelligent mine, a data modeling method is adopted to standardize and unify the service flow analysis and the data flow analysis, realize the full recognition, the full extraction and the association full modeling of the intelligent mine object, classify the data in the service process or the intelligent range, extract the object and the attribute through an activity diagram, a sequence diagram and a class diagram in the UML modeling method, and recognize and extract the data element from the object and the attribute.
As shown in fig. 4, in the present application, IDEF0 and UML modeling methods are combined, the business of an intelligent mine is comprehensively analyzed from top to bottom, an IDEF0 business modeling method is used to build an intelligent mine business model, the production and operation activities of the intelligent mine are decomposed and divided into minimum business units, and based on the minimum business units, the object and attribute of each minimum business activity are analyzed by using the UML modeling method, and data elements are extracted from the minimum business activities.
The main elements of the IDEF0 modeling are composed of boxes and arrows, as shown in fig. 5, the square boxes represent activities for completing certain functions, the arrows represent real information or objects required by the activities or generated by the activities, the IDEF0 basic functional activities are composed of five elements of activities, control, mechanism, input and output, the control is the mechanism and condition of the activities, and the mechanism is a person or a device for executing the activities.
In a specific example, firstly, according to the division of coal production businesses, an IDEF0 is used to construct a coal production business A0 diagram, and the coal production businesses are divided into five aspects of main production, auxiliary production, washing and selecting, ground production and production management, as shown in fig. 6. Then, according to the division of coal production business: taking production management service as an example, the production management service is divided into main production management, scheduling management, electromechanical management, coal quality management, production technology management, energy-saving environment-friendly management and the like.
Then, continuing to divide the production management business: taking main production management as an example, the main production management of coal is continuously divided into four parts of product consumable materials, production plans, material requirements and production daily necessities. Finally, the main production management business is further subdivided: taking material demand as an example, the material demand is divided into three parts, namely related demand, independent demand and summarized material demand.
The production and management activities of the intelligent mine are decomposed by an IDEF0 business modeling method, so that coal production businesses can be divided into basic business units. Taking independent requirements as an example, the object and the attribute are extracted by a UML modeling method, and coal enterprise data elements are extracted from the object and the attribute, as shown in fig. 7, 8 and 9. According to the independent demand service activity diagram, the sequence diagram and the class diagram, the independent demand service related data elements can be extracted, as shown in the table 1 independent demand service data element coding example diagram.
Table 1 independent demand service data element coding example
And step S104, respectively coding the data of different levels in the mine data classification system.
In the method, the intelligent mine data are distinguished, classified and encoded according to a certain principle and method, a certain classification system, a certain encoding system and a certain code element set are established, and a foundation is laid for constructing intelligent mine data fusion and sharing. Specifically, the topic domain group, the topic domain, the service object, the data entity and the data corresponding to the data attribute are respectively coded based on different coding types, coding lengths and coding ranges.
In the application, the intelligent mine data are divided into a category, a major category, a middle category, a minor category and a detail according to five layers of a theme zone group, a theme zone, a business object, a data entity and an attribute determined by the data structure model. As shown in fig. 10, the door class code is represented by one english letter, that is, A, B, C sequentially represents different door classes; the large class codes are expressed by two-digit Arabic numerals, and are coded in sequence from 01; the middle class is represented by two-digit Arabic numerals, and is encoded sequentially from 01; the subclasses are represented by three-digit Arabic numerals, and are encoded sequentially from 001; the detail is represented by a four digit arabic numeral, coded sequentially starting from 0001.
For the data elements which change along with time, position and data value, the description items of the data are presented in a spreading code mode. Wherein the properties covered by the spreading code include a location property and a time property. The position attribute represents the attribute of the associated place/place name/equipment name and is represented by L; the time attribute characterizes the production time of the data, denoted by T.
The dynamic data element has a time attribute, and a T is marked in the description item; if the dynamic data element has a position attribute, marking L in the description item; if the dynamic data element has both time and location attributes, then T, L should be identified in the description. For some static data, if it also has a time dimension, then under this classification, a time data element is added.
In the present application, examples of encoding of the basic class data, the production class data, the security class data, and the management class data are shown in tables 2, 3, 4, and 5, respectively.
Table 2 basic class data information encoding examples
Table 3 production class data information encoding examples
Table 4 security class data information encoding examples
Table 5 management class data information encoding examples
The intelligent mine data fusion sharing method is used for fusion sharing of mine data of an acquired underground coal mine, the theoretical basis of intelligent mine data classification is determined from three aspects of a theoretical basis of intelligent mine data classification, a data model and a recognition tool which are divided by a hierarchical structure, a data element recognition model and a tool, the data class membership logic relationship is guided through the hierarchical structure of the data, and the whole classification system is determined from three aspects of business, a system and a future intelligent application scene according to a specific data element recognition model.
As shown in fig. 11, an intelligent mine data fusion and sharing device for fusion and sharing of mine data of an acquired underground coal mine provided in the embodiment of the application includes:
a structure dividing unit 1101 configured to classify the mine data based on a service domain of the mine data, and to hierarchically divide the mine data based on a data structure model constructed in advance;
a data relationship determining unit 1102, configured to determine category membership of the classified mine data according to the hierarchical structure division result;
a classification system establishing unit 1103 configured to determine a business object and an attribute of the mine data according to a category membership of the mine data based on a pre-constructed data element identification model, so as to establish a classification system of the mine data;
the data encoding unit 1104 is configured to code data of different levels in the classification system of mine data.
The intelligent mine data fusion sharing device provided by the embodiment of the application can realize the steps and the processes of any one of the intelligent mine data fusion sharing method embodiments, achieve the same technical effects and are not described in detail herein.
FIG. 12 is a schematic diagram of a structure of an intelligent mine data fusion sharing system provided in accordance with some embodiments of the present application; as shown in fig. 12, the intelligent mine data fusion sharing system includes:
one or more processors 1201;
a computer readable medium may be configured to store one or more programs 1202, the one or more processors 1201, when executing the one or more programs 1202, implement the steps of: classifying mine data based on a service domain of the mine data, and carrying out hierarchical structure division on the mine data based on a pre-constructed data structure model; determining category membership of the classified mine data according to the hierarchical structure division result; based on a pre-constructed data element identification model, determining service objects and attributes of mine data according to category membership of the mine data so as to establish a classification system of the mine data; and respectively coding the data of different levels in the mine data classification system.
FIG. 13 is a hardware architecture of an intelligent mine data fusion sharing system provided in accordance with some embodiments of the present application; as shown in fig. 13, the hardware structure of the intelligent mine data fusion sharing system may include: a processor 1301, a communication interface 1302, a computer readable medium 1303, and a communication bus 1304.
Wherein the processor 1301, the communication interface 1302, and the computer readable storage medium 1303 perform communication with each other through a communication bus 1304.
Alternatively, the communication interface 1302 may be an interface of a communication module, such as an interface of a GSM module.
Wherein the processor 1301 may specifically be configured to: classifying mine data based on a service domain of the mine data, and carrying out hierarchical structure division on the mine data based on a pre-constructed data structure model; determining category membership of the classified mine data according to the hierarchical structure division result; based on a pre-constructed data element identification model, determining service objects and attributes of mine data according to category membership of the mine data so as to establish a classification system of the mine data; and respectively coding the data of different levels in the mine data classification system.
Processor 1301 may be a general purpose processor including a central processing unit (central processing unit, CPU for short), a network processor (Network Processor, NP for short), etc., as well as a Digital Signal Processor (DSP), application Specific Integrated Circuit (ASIC), off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The disclosed methods, steps, and logic blocks in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The intelligent mine data fusion sharing system of the embodiment of the application exists in various forms, including but not limited to:
(1) A mobile communication device: such devices are characterized by mobile communication capabilities and are primarily aimed at providing voice, data communications. Such terminals include: smart phones (e.g., iPhone), multimedia phones, functional phones, and low-end phones, etc.
(2) Ultra mobile personal computer device: such devices are in the category of personal computers, having computing and processing functions, and generally also having mobile internet access characteristics. Such terminals include: PDA, MID, and UMPC devices, etc., such as iPad.
(3) Portable entertainment device: such devices may display and play multimedia content. The device comprises: audio, video players (e.g., iPod), palm game consoles, electronic books, and smart toys and portable car navigation devices.
(4) And (3) a server: the configuration of the server includes a processor, a hard disk, a memory, a system bus, and the like, and the server is similar to a general computer architecture, but is required to provide highly reliable services, and thus has high requirements in terms of processing capacity, stability, reliability, security, scalability, manageability, and the like.
(5) Other electronic devices with data interaction function.
It should be noted that, according to implementation requirements, each component/step described in the embodiments of the present application may be split into more components/steps, and two or more components/steps or part of operations of the components/steps may be combined into new components/steps, so as to achieve the purposes of the embodiments of the present application.
The above-described methods according to embodiments of the present application may be implemented in hardware, firmware, or as software or computer code storable in a recording medium such as a CD ROM, RAM, floppy disk, hard disk, or magneto-optical disk, or as computer code originally stored in a remote recording medium or a non-transitory machine storage medium and to be stored in a local recording medium downloaded through a network, so that the methods described herein may be stored on such software processes on a recording medium using a general purpose computer, a special purpose processor, or programmable or dedicated hardware such as an ASIC or FPGA. It is understood that a computer, processor, microprocessor controller, or programmable hardware includes a memory component (e.g., RAM, ROM, flash memory, etc.) that can store or receive software or computer code that, when accessed and executed by the computer, processor, or hardware, implements the methods of intelligent mine data fusion sharing described herein. Furthermore, when a general purpose computer accesses code for implementing the methods illustrated herein, execution of the code converts the general purpose computer into a special purpose computer for performing the methods illustrated herein.
Those of ordinary skill in the art will appreciate that the elements and method steps of the examples described in connection with the embodiments disclosed herein can be implemented as electronic hardware, or as a combination of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the embodiments of the present application.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment is mainly described in a different point from other embodiments. In particular, for the apparatus and system embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, with reference to the description of the method embodiments in part.
The above-described apparatus and system embodiments are merely illustrative, in which elements that are not explicitly described may or may not be physically separated, and elements that are not explicitly described may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the same, but rather, various modifications and variations may be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.
Claims (10)
1. The intelligent mine data fusion sharing method is characterized by being used for carrying out fusion sharing on the acquired mine data of the underground coal mine and comprising the following steps of:
step S101, classifying the mine data based on a service domain of the mine data, and carrying out hierarchical structure division on the mine data based on a pre-constructed data structure model;
step S102, determining category membership of the classified mine data according to the hierarchical structure division result;
step S103, determining service objects and attributes of the mine data based on a pre-constructed data element identification model according to category membership of the mine data so as to establish a classification system of the mine data;
and step S104, respectively coding the data of different levels in the mine data classification system.
2. The intelligent mine data fusion sharing method according to claim 1, wherein step S101 includes:
dividing the mine data into basic class data, production class data, safety class data and management class data according to the service objects and topics affiliated to the mine data;
and dividing the mine data into five hierarchical structures of a theme zone group, a theme zone, a business object, a data entity and a data attribute based on a pre-constructed data structure model.
3. The intelligent mine data fusion sharing method of claim 2, wherein step S102 comprises:
dividing the mine data into a plurality of theme zone groups based on the hierarchical structure of the mine data;
dividing each topic domain group into a plurality of topic domains, and dividing each topic domain into a plurality of service objects, wherein each service object comprises a plurality of data entities and corresponding data attributes.
4. The intelligent mine data fusion sharing method according to claim 3, wherein the dividing the mine data into a plurality of the subject domain groups is specifically as follows:
and dividing the mine data into a basic theme zone group, a production theme zone group, a safety theme zone group and a management theme zone group based on the mine service scene, the existing mine information scene and the future application scene of the mine of the underground coal mine.
5. The intelligent mine data fusion sharing method according to claim 3, wherein the dividing each topic domain group into a plurality of topic domains is specifically:
dividing basic class data in the mine data into 6 theme domains of license information, organization category, geological condition, exploitation condition, disaster condition and IT infrastructure;
dividing production data in the mine data into 17 theme domains, namely coal mining, tunneling, power supply and distribution, lifting, main transportation, auxiliary transportation, ventilation, compressed air, water supply, drainage, cooling and refrigeration, washing, scheduling management, production technology management, production plan management, electromechanical management and blasting management;
dividing safety data in mine data into 20 theme zones, namely roof management, rock burst prevention, water hazard prevention, fire prevention, gas prevention, dust prevention, heat hazard management, safety monitoring system, underground operation personnel management, video monitoring, communication scheduling, risk grading management and control, accident hidden trouble investigation and management, superior safety inspection, unsafe behavior management, accident management, safety training, occupational health detection management, emergency management and environmental protection;
and dividing management type data in the mine data into 12 theme domains, namely human resource management, financial management, audit management, material management, equipment management, marketing management, energy conservation and emission reduction management, scientific and technological management, project management, legal management, comprehensive management and informationized management.
6. The intelligent mine data fusion sharing method of claim 3, wherein step S103 comprises:
the intelligent business model of the underground coal mine constructed based on the IDEFO business modeling method is used for respectively identifying a plurality of topic domains in the same topic domain group to obtain a plurality of business objects;
classifying a plurality of business objects in the same subject domain group based on a UML modeling method to obtain a plurality of data entities;
and identifying a plurality of data entities in the same subject domain group based on a UML modeling method to obtain data attributes corresponding to each data entity.
7. The intelligent mine data fusion sharing method of claim 2, wherein, in step S104,
and respectively coding the data corresponding to the theme zone group, the theme zone, the business object, the data entity and the data attribute based on different coding types, coding lengths and coding ranges.
8. An intelligent mine data fusion sharing device, which is characterized in that the device is used for fusion sharing of the acquired mine data of an underground coal mine, and comprises:
the structure dividing unit is configured to classify the mine data based on the service domain of the mine data and to divide the mine data into hierarchical structures based on a pre-constructed data structure model;
the data relation determining unit is configured to determine category membership of the classified mine data according to the hierarchical structure division result;
the classification system building unit is configured to determine service objects and attributes of the mine data according to category membership of the mine data based on a pre-constructed data element identification model so as to build a classification system of the mine data;
and the data coding unit is configured to code the data of different levels in the mine data classification system respectively.
9. An intelligent mine data fusion sharing system, comprising:
a memory, on which a computer program of the intelligent mine data fusion sharing method according to any one of claims 1 to 7 is stored;
and the processor is used for calling the computer program stored in the memory and executing the computer program.
10. A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed implements the intelligent mine data fusion sharing method of any of claims 1-7.
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