CN113743623A - Equipment maintenance system and method applying big data decision analysis model - Google Patents
Equipment maintenance system and method applying big data decision analysis model Download PDFInfo
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Abstract
The invention discloses an equipment maintenance system applying a big data decision analysis model, which comprises a node setting module, a node selection module and a data transmission module, wherein the node setting module is used for setting data transmission nodes; the data transmission module is used for acquiring and uploading industrial equipment information and environmental information in a target area according to a preset acquisition period; the initial analysis module is used for importing the industrial equipment information and the environmental information in the target area into a preset equipment maintenance decision analysis model to generate initial equipment maintenance information; the operation association module is used for acquiring operation association information of corresponding equipment; the association maintenance module is used for generating association maintenance information; and the maintenance scheme module is used for generating and sending the equipment maintenance scheme according to the initial equipment maintenance information and the associated maintenance information. The invention also discloses an equipment maintenance method applying the big data decision analysis model. The invention can accurately and effectively maintain and manage various devices and ensure the running safety of the devices.
Description
Technical Field
The invention relates to the technical field of equipment management, in particular to an equipment maintenance system and method applying a big data decision analysis model.
Background
With the development of the industry, the method can be applied to industrial equipment in production and life. In an intelligent manufacturing system, industrial equipment is high in cost, long in service time and high in real-time requirement, large-scale equipment can be influenced by external environments and internal components in the operation process, operation safety problems are caused easily, especially for equipment in underground coal mine collection scenes, high attention needs to be paid to the safety problems, and therefore the equipment needs to be maintained regularly.
Predictive maintenance is an important means for maintaining industrial equipment, and the running state of a machine is judged and the maintenance time of the machine is optimized through continuous measurement and analysis. In the prior art, data acquisition is generally carried out by additionally arranging various acquisition devices, and then problems possibly occurring in the analysis and prediction devices are analyzed, so that the cost is too high, the data analysis and processing capacity is insufficient, and an accurate and reasonable maintenance scheme cannot be provided for each device.
Disclosure of Invention
In order to overcome the above problems or at least partially solve the above problems, embodiments of the present invention provide an apparatus maintenance system and method using a big data decision analysis model, which can perform accurate and effective maintenance and management on various apparatuses, and ensure the operation safety of the apparatuses.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present invention provides an apparatus maintenance system using a big data decision analysis model, including a node setting module, a data transmission module, an initial analysis module, an operation association module, an association maintenance module, and a maintenance scheme module, where:
the node setting module is used for acquiring and setting data transmission nodes according to the data transmission equipment information and the industrial equipment quantity information in the target area;
the data transmission module is used for acquiring and uploading the industrial equipment information and the environmental information in the target area according to a preset acquisition period through the data transmission node;
the initial analysis module is used for importing the industrial equipment information and the environmental information in the target area into a preset equipment maintenance decision analysis model to generate initial equipment maintenance information;
the operation correlation module is used for acquiring operation correlation information of corresponding equipment according to the information of the equipment to be maintained in the initial equipment maintenance information;
the correlation maintenance module is used for importing the operation correlation information into a preset equipment maintenance decision analysis model to generate correlation maintenance information;
and the maintenance scheme module is used for generating and sending the equipment maintenance scheme according to the initial equipment maintenance information and the associated maintenance information.
In order to solve the technical problem that an accurate and reasonable maintenance scheme cannot be provided for each device in the prior art, the invention can accurately and effectively maintain and manage various devices and ensure the operation safety of the devices. Firstly, a target area is determined, then the position and the number of data transmission devices used for acquiring data in the target area are determined, and the number of industrial devices used for industrial operation in the target area are determined, then a node setting module is used for setting reasonable data transmission nodes according to data transmission device information and industrial device number information in combination with data node uploading capacity, data acquired by each data transmission device are collected, distributed and transmitted through the data transmission nodes, redundant devices are not needed for data transmission, the cost is saved, and the data transmission effect is improved. After the node setting is completed, the data transmission module acquires and uploads industrial equipment information and environmental information in the target area through the data transmission node according to a preset acquisition period, wherein the industrial equipment information comprises information such as equipment names, equipment positions, equipment types and equipment marks, and the environmental information comprises information such as environmental humidity, temperature and various gas contents in the target area. The initial analysis module analyzes the data by adopting a preset equipment maintenance decision analysis model according to the industrial equipment information and the environmental information and generates initial equipment maintenance information; the equipment maintenance decision analysis model refers to a mathematical model for comparing and analyzing real-time industrial equipment information and environmental information with preset historical normal operation parameters to obtain a reasonable initial equipment maintenance scheme. In order to further ensure the accuracy of equipment maintenance, equipment to be maintained in initial equipment maintenance information is further analyzed, operation associated information of corresponding equipment is obtained through an operation associated module, the operation associated information comprises associated equipment information and associated notice information, then the equipment information associated with the equipment to be maintained is analyzed through the associated maintenance module by adopting an equipment maintenance decision analysis model, then related maintenance information about the associated equipment is obtained, and a maintenance scheme module combines the initial equipment maintenance information and the associated maintenance information to generate a more accurate equipment maintenance scheme.
The system sets reasonable data transmission nodes for the equipment in the area, quickly and effectively transmits data, analyzes internal and external factors such as the running condition and the running environment of the equipment, and performs decision analysis on the acquired data by combining a data decision analysis model to obtain a reasonable equipment maintenance scheme, so that the equipment can be accurately and effectively maintained in the subsequent process.
Based on the first aspect, in some embodiments of the present invention, the initial analysis module includes an information importing sub-module, an equipment comparison sub-module, an environment comparison sub-module, and a maintenance generation sub-module, where:
the information import submodule is used for importing the industrial equipment information and the environmental information in the target area into a preset equipment maintenance decision analysis model;
the equipment comparison submodule is used for comparing the industrial equipment information in the target area with the basic operation parameters of the corresponding equipment which is pre-input through the equipment maintenance decision analysis model to generate equipment comparison information;
the environment comparison submodule is used for comparing the environment information in the target area with the pre-input normal operation environment information through the equipment maintenance decision analysis model to generate environment comparison information;
and the maintenance generation submodule is used for generating corresponding initial equipment maintenance information by adopting an equipment maintenance decision analysis model according to the equipment comparison information and the environment comparison information.
Based on the first aspect, in some embodiments of the present invention, the device maintenance system applying the big data decision analysis model further includes a scheme adjustment module, configured to obtain and adjust the device maintenance scheme in real time according to maintenance operation condition information of a maintenance worker, so as to generate maintenance adjustment information.
Based on the first aspect, in some embodiments of the present invention, the equipment maintenance system using the big data decision analysis model further includes a manual inspection module, configured to obtain and import inspection data of an inspection worker into a preset equipment maintenance decision analysis model, and generate initial equipment maintenance information according to the inspection data, industrial equipment information in the target area, and environment information through the equipment maintenance decision analysis model.
In a second aspect, in some embodiments of the invention, a method for maintaining equipment using a big data decision analysis model includes the steps of:
acquiring and setting data transmission nodes according to data transmission equipment information and industrial equipment quantity information in a target area;
acquiring and uploading industrial equipment information and environmental information in a target area according to a preset acquisition period through a data transmission node;
importing the industrial equipment information and the environmental information in the target area into a preset equipment maintenance decision analysis model to generate initial equipment maintenance information;
acquiring operation associated information of corresponding equipment according to the information of the equipment to be maintained in the initial equipment maintenance information;
importing the operation associated information into a preset equipment maintenance decision analysis model to generate associated maintenance information;
and generating and sending an equipment maintenance scheme according to the initial equipment maintenance information and the associated maintenance information.
In order to solve the technical problem that an accurate and reasonable maintenance scheme cannot be provided for each device in the prior art, the method and the device for maintaining the equipment in the area set reasonable data transmission nodes, quickly and effectively transmit data, analyze internal and external factors such as the running condition and the running environment of the equipment, and perform decision analysis on the collected data by combining a data decision analysis model to obtain a reasonable equipment maintenance scheme. Firstly, a target area is determined, then the position and the number of data transmission devices used for acquiring data in the target area are determined, and the number of industrial devices used for industrial operation in the target area are determined, then reasonable data transmission nodes are set according to data transmission device information and industrial device number information in combination with data node uploading capacity, data acquired by each data transmission device are collected, distributed and transmitted through the data transmission nodes, redundant devices are not needed for data transmission, the cost is saved, and the data transmission effect is improved. After the node is set, acquiring and uploading industrial equipment information and environment information in a target area through a data transmission node according to a preset acquisition period, wherein the industrial equipment information comprises information such as equipment name, equipment position, equipment type and equipment mark, and the environment information comprises information such as environment humidity, temperature and various gas contents in the target area. Analyzing the data by adopting a preset equipment maintenance decision analysis model according to the industrial equipment information and the environmental information, and generating initial equipment maintenance information; the equipment maintenance decision analysis model refers to a mathematical model for comparing and analyzing real-time industrial equipment information and environmental information with preset historical normal operation parameters to obtain a reasonable initial equipment maintenance scheme. In order to further ensure the accuracy of equipment maintenance, equipment to be maintained in initial equipment maintenance information is further analyzed, operation associated information of corresponding equipment is obtained, the operation associated information comprises associated equipment information and associated notice information, then an equipment maintenance decision analysis model is adopted for analyzing the equipment information associated with the equipment to be maintained, then related maintenance information about the associated equipment is obtained, the initial equipment maintenance information and the associated maintenance information are combined, and then a more accurate equipment maintenance scheme is generated.
The method sets reasonable data transmission nodes for the equipment in the area, quickly and effectively transmits data, analyzes internal and external factors such as the running condition and the running environment of the equipment, and performs decision analysis on the acquired data by combining a data decision analysis model to obtain a reasonable equipment maintenance scheme, so that the equipment can be accurately and effectively maintained in the subsequent process.
Based on the second aspect, in some embodiments of the present invention, the method for importing the industrial device information and the environmental information in the target area into a preset device maintenance decision analysis model to generate initial device maintenance information includes the following steps:
importing the industrial equipment information and the environmental information in the target area into a preset equipment maintenance decision analysis model;
comparing the industrial equipment information in the target area with the pre-recorded basic operation parameters of the corresponding equipment through an equipment maintenance decision analysis model to generate equipment comparison information;
comparing the environmental information in the target area with pre-input normal operation environmental information through an equipment maintenance decision analysis model to generate environmental comparison information;
and generating corresponding initial equipment maintenance information by adopting an equipment maintenance decision analysis model according to the equipment comparison information and the environment comparison information.
Based on the second aspect, in some embodiments of the present invention, the method for maintaining equipment by applying big data decision analysis model further includes the following steps:
and acquiring and adjusting the equipment maintenance scheme in real time according to the maintenance operation condition information of the maintainers to generate maintenance adjustment information.
Based on the second aspect, in some embodiments of the present invention, the method for maintaining equipment by applying big data decision analysis model further includes the following steps:
and acquiring and importing the routing inspection data of the routing inspection personnel into a preset equipment maintenance decision analysis model, and generating initial equipment maintenance information according to the routing inspection data, the industrial equipment information in the target area and the environmental information through the equipment maintenance decision analysis model.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The program or programs, when executed by a processor, implement the method of any of the second aspects as described above.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method according to any one of the above second aspects.
The embodiment of the invention at least has the following advantages or beneficial effects:
the embodiment of the invention provides a device maintenance system and method applying a big data decision analysis model, aiming at solving the technical problem that an accurate and reasonable maintenance scheme cannot be provided for each device in the prior art, the invention sets reasonable data transmission nodes for devices in a region, quickly and effectively transmits data, analyzes internal and external factors such as the running condition and the running environment of the devices, and performs decision analysis on the acquired data by combining the data decision analysis model to obtain a reasonable device maintenance scheme. Accurate and effective maintenance and management can be carried out on various devices, and the operation safety of the devices is ensured.
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 block diagram of an apparatus maintenance system using a big data decision analysis model according to an embodiment of the present invention;
FIG. 2 is a flowchart of an apparatus maintenance method using a big data decision analysis model according to an embodiment of the present invention;
fig. 3 is a block diagram of an electronic device according to an embodiment of the present invention.
Icon: 100. a node setting module; 200. a data transmission module; 300. an initial analysis module; 310. an information import submodule; 320. a device comparison sub-module; 330. an environment comparison submodule; 340. a maintenance generation submodule; 400. operating the correlation module; 500. an association maintenance module; 600. a maintenance plan module; 700. a scheme adjustment module; 800. an artificial inspection module; 101. a memory; 102. a processor; 103. a communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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 invention.
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 noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Examples
As shown in fig. 1, in a first aspect, an embodiment of the present invention provides an apparatus maintenance system applying a big data decision analysis model, including a node setting module 100, a data transmission module 200, an initial analysis module 300, an operation association module 400, an association maintenance module 500, and a maintenance scheme module 600, where:
a node setting module 100, configured to acquire and set a data transmission node according to data transmission device information and industrial device quantity information in a target area;
the data transmission module 200 is configured to acquire and upload industrial equipment information and environmental information in a target area according to a preset acquisition period through a data transmission node;
the initial analysis module 300 is configured to import the industrial device information and the environmental information in the target area into a preset device maintenance decision analysis model, and generate initial device maintenance information;
the operation association module 400 is configured to obtain operation association information of corresponding equipment according to the to-be-maintained equipment information in the initial equipment maintenance information;
the association maintenance module 500 is configured to import the operation association information into a preset device maintenance decision analysis model, and generate association maintenance information;
and a maintenance scheme module 600, configured to generate and send an equipment maintenance scheme according to the initial equipment maintenance information and the associated maintenance information.
In order to solve the technical problem that an accurate and reasonable maintenance scheme cannot be provided for each device in the prior art, the invention can accurately and effectively maintain and manage various devices and ensure the operation safety of the devices. Firstly, a target area is determined, then the position and the number of data transmission devices used for acquiring data in the target area are determined, and how many industrial devices used for industrial operation are determined in the target area, then the node setting module 100 sets reasonable data transmission nodes according to data transmission device information and industrial device number information in combination with data node uploading capacity, data acquired by each data transmission device are collected, distributed and transmitted through the data transmission nodes, redundant devices are not needed for data transmission, the cost is saved, and the data transmission effect is improved. After the node setting is completed, the data transmission module 200 acquires and uploads the industrial equipment information and the environmental information in the target area through the data transmission node according to a preset acquisition period, wherein the industrial equipment information includes information such as an equipment name, an equipment position, an equipment type and an equipment mark, and the environmental information includes information such as ambient humidity, temperature and various gas contents in the target area. The initial analysis module 300 analyzes the data by using a preset equipment maintenance decision analysis model according to the industrial equipment information and the environmental information, and generates initial equipment maintenance information; the equipment maintenance decision analysis model refers to a mathematical model for comparing and analyzing real-time industrial equipment information and environmental information with preset historical normal operation parameters to obtain a reasonable initial equipment maintenance scheme. In order to further ensure the accuracy of equipment maintenance, the equipment to be maintained in the initial equipment maintenance information is further analyzed, the operation association module 400 obtains operation association information of corresponding equipment, the operation association information includes associated equipment information and associated notice information, the association maintenance module 500 analyzes the equipment information associated with the equipment to be maintained by using an equipment maintenance decision analysis model, and then obtains related maintenance information about the associated equipment, and the maintenance scheme module 600 combines the initial equipment maintenance information and the associated maintenance information, and then generates a more accurate equipment maintenance scheme.
The system sets reasonable data transmission nodes for the equipment in the area, quickly and effectively transmits data, analyzes internal and external factors such as the running condition and the running environment of the equipment, and performs decision analysis on the acquired data by combining a data decision analysis model to obtain a reasonable equipment maintenance scheme, so that the equipment can be accurately and effectively maintained in the subsequent process.
As shown in fig. 1, based on the first aspect, in some embodiments of the present invention, the initial analysis module 300 includes an information importing sub-module 310, an equipment comparison sub-module 320, an environment comparison sub-module 330, and a maintenance generation sub-module 340, where: the information import sub-module 310 is configured to import the industrial equipment information and the environmental information in the target area into a preset equipment maintenance decision analysis model; the device comparison submodule 320 is configured to compare the industrial device information in the target area with the basic operation parameters of the pre-entered corresponding device through the device maintenance decision analysis model, and generate device comparison information; the environment comparison sub-module 330 is configured to compare environment information in the target area with pre-entered normal operation environment information through an equipment maintenance decision analysis model to generate environment comparison information; and the maintenance generating submodule 340 is configured to generate corresponding initial equipment maintenance information by using an equipment maintenance decision analysis model according to the equipment comparison information and the environment comparison information.
In order to improve the accuracy of analysis, after the information import sub-module 310 imports the industrial equipment information and the environmental information in the target area into a preset equipment maintenance decision analysis model, the equipment comparison sub-module 320 and the environment comparison sub-module 330 respectively analyze the equipment and the environment by using the equipment maintenance decision analysis model to obtain the equipment to be maintained and the environment condition of improvement and adjustment, and then the maintenance generation sub-module 340 performs combined analysis on the equipment comparison information and the environment comparison information to obtain a complete initial equipment maintenance information. The initial equipment maintenance information includes information such as the name, type, maintenance location, required maintenance aids, personnel scheduling, etc. of the equipment to be repaired.
As shown in fig. 1, based on the first aspect, in some embodiments of the present invention, the equipment maintenance system applying the big data decision analysis model further includes a plan adjusting module 700, configured to obtain and adjust the equipment maintenance plan in real time according to maintenance operation condition information of a maintenance worker, so as to generate maintenance adjustment information.
In order to ensure real-time effectiveness of equipment maintenance, in the equipment maintenance process, the maintenance operation condition of the equipment is obtained in real time through the scheme adjusting module 700, so that the equipment maintenance scheme is adjusted according to the real-time condition, and more accurate maintenance adjusting information is obtained. The maintenance operation condition information comprises information such as maintenance process, real-time maintenance environment and maintenance operation accuracy.
As shown in fig. 1, based on the first aspect, in some embodiments of the present invention, the equipment maintenance system using a big data decision analysis model further includes a manual inspection module 800, configured to obtain and import inspection data of an inspection worker into a preset equipment maintenance decision analysis model, and generate initial equipment maintenance information according to the inspection data, industrial equipment information in a target area, and environmental information through the equipment maintenance decision analysis model.
In order to avoid the error of data transmission, the maintenance scheme is reasonably planned by combining the artificial polling data, and the artificial polling module 800 combines the artificial polling data with the collected industrial equipment information and the environmental information in the target area to generate initial equipment maintenance information.
In a second aspect, as shown in fig. 2, in some embodiments of the present invention, a method for maintaining equipment by applying a big data decision analysis model includes the following steps:
s1, acquiring and setting data transmission nodes according to the data transmission equipment information and the industrial equipment quantity information in the target area;
in some embodiments of the invention, firstly, a target area is determined, then, the position and the number of data transmission devices used for acquiring data in the target area are determined, and how many industrial devices used for industrial operation are determined in the target area, then, a reasonable data transmission node is set according to the data transmission device information and the industrial device number information in combination with the data node uploading capability, the data acquired by each data transmission device is collected, distributed and transmitted through the data transmission node, no redundant device is needed for data transmission, the cost is saved, and the data transmission effect is also improved.
S2, acquiring and uploading industrial equipment information and environmental information in the target area through the data transmission node according to a preset acquisition period;
s3, importing the industrial equipment information and the environmental information in the target area into a preset equipment maintenance decision analysis model to generate initial equipment maintenance information;
in some embodiments of the present invention, after the node is set, the data transmission node acquires and uploads the industrial device information and the environmental information in the target area according to a preset acquisition period, where the industrial device information includes information such as a device name, a device location, a device type, and a device label, and the environmental information includes information such as ambient humidity, temperature, and various gas contents in the target area. Analyzing the data by adopting a preset equipment maintenance decision analysis model according to the industrial equipment information and the environmental information, and generating initial equipment maintenance information; the equipment maintenance decision analysis model refers to a mathematical model for comparing and analyzing real-time industrial equipment information and environmental information with preset historical normal operation parameters to obtain a reasonable initial equipment maintenance scheme.
S4, acquiring operation associated information of corresponding equipment according to the to-be-maintained equipment information in the initial equipment maintenance information;
s5, importing the operation associated information into a preset equipment maintenance decision analysis model to generate associated maintenance information;
and S6, generating and sending the equipment maintenance scheme according to the initial equipment maintenance information and the associated maintenance information.
In some embodiments of the present invention, in order to further ensure the accuracy of equipment maintenance, the equipment to be maintained in the initial equipment maintenance information is further analyzed, operation related information of the corresponding equipment is obtained, the operation related information includes associated equipment information and associated notice information, then, the equipment information associated with the equipment to be maintained is analyzed by using an equipment maintenance decision analysis model, then, related maintenance information about the associated equipment is obtained, the initial equipment maintenance information and the associated maintenance information are combined, and then, a more accurate equipment maintenance scheme is generated.
In order to solve the technical problem that an accurate and reasonable maintenance scheme cannot be provided for each device in the prior art, the invention can accurately and effectively maintain and manage various devices and ensure the operation safety of the devices. The method sets reasonable data transmission nodes for the equipment in the area, quickly and effectively transmits data, analyzes internal and external factors such as the running condition and the running environment of the equipment, and performs decision analysis on the acquired data by combining a data decision analysis model to obtain a reasonable equipment maintenance scheme, so that the equipment can be accurately and effectively maintained in the subsequent process.
Based on the second aspect, in some embodiments of the present invention, the method for importing the industrial device information and the environmental information in the target area into a preset device maintenance decision analysis model to generate initial device maintenance information includes the following steps:
importing the industrial equipment information and the environmental information in the target area into a preset equipment maintenance decision analysis model;
comparing the industrial equipment information in the target area with the pre-recorded basic operation parameters of the corresponding equipment through an equipment maintenance decision analysis model to generate equipment comparison information;
comparing the environmental information in the target area with pre-input normal operation environmental information through an equipment maintenance decision analysis model to generate environmental comparison information;
and generating corresponding initial equipment maintenance information by adopting an equipment maintenance decision analysis model according to the equipment comparison information and the environment comparison information.
In order to improve the analysis accuracy, after the industrial equipment information and the environmental information in the target area are imported into a preset equipment maintenance decision analysis model, the equipment and the environment are respectively analyzed by adopting the equipment maintenance decision analysis model to obtain equipment to be maintained and an environment condition for improving and adjusting, and then the equipment comparison information and the environment comparison information are combined and analyzed to obtain complete initial equipment maintenance information. The initial equipment maintenance information includes information such as the name, type, maintenance location, required maintenance aids, personnel scheduling, etc. of the equipment to be repaired.
Based on the second aspect, in some embodiments of the present invention, the method for maintaining equipment by applying big data decision analysis model further includes the following steps:
and acquiring and adjusting the equipment maintenance scheme in real time according to the maintenance operation condition information of the maintainers to generate maintenance adjustment information.
In order to ensure the real-time effectiveness of equipment maintenance, the maintenance operation condition of the equipment is obtained in real time in the equipment maintenance process, so that the equipment maintenance scheme is adjusted according to the real-time condition, and more accurate maintenance adjustment information is obtained. The maintenance operation condition information comprises information such as maintenance process, real-time maintenance environment and maintenance operation accuracy.
Based on the second aspect, in some embodiments of the present invention, the method for maintaining equipment by applying big data decision analysis model further includes the following steps:
and acquiring and importing the routing inspection data of the routing inspection personnel into a preset equipment maintenance decision analysis model, and generating initial equipment maintenance information according to the routing inspection data, the industrial equipment information in the target area and the environmental information through the equipment maintenance decision analysis model.
In order to avoid the error of data transmission, the maintenance scheme is reasonably planned by combining the artificial polling data, and the artificial polling data is combined with the acquired industrial equipment information and the environmental information in the target area to generate initial equipment maintenance information.
As shown in fig. 3, in a third aspect, 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 second 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 a fourth 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 second aspects 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.
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. The utility model provides an use equipment maintenance system of big data decision analysis model which characterized in that, includes node setting module, data transmission module, initial analysis module, operation correlation module, correlation maintenance module and maintenance scheme module, wherein:
the node setting module is used for acquiring and setting data transmission nodes according to the data transmission equipment information and the industrial equipment quantity information in the target area;
the data transmission module is used for acquiring and uploading the industrial equipment information and the environmental information in the target area according to a preset acquisition period through the data transmission node;
the initial analysis module is used for importing the industrial equipment information and the environmental information in the target area into a preset equipment maintenance decision analysis model to generate initial equipment maintenance information;
the operation correlation module is used for acquiring operation correlation information of corresponding equipment according to the information of the equipment to be maintained in the initial equipment maintenance information;
the correlation maintenance module is used for importing the operation correlation information into a preset equipment maintenance decision analysis model to generate correlation maintenance information;
and the maintenance scheme module is used for generating and sending the equipment maintenance scheme according to the initial equipment maintenance information and the associated maintenance information.
2. The system of claim 1, wherein the initial analysis module comprises an information import sub-module, an equipment comparison sub-module, an environment comparison sub-module, and a maintenance generation sub-module, and wherein:
the information import submodule is used for importing the industrial equipment information and the environmental information in the target area into a preset equipment maintenance decision analysis model;
the equipment comparison submodule is used for comparing the industrial equipment information in the target area with the basic operation parameters of the corresponding equipment which is pre-input through the equipment maintenance decision analysis model to generate equipment comparison information;
the environment comparison submodule is used for comparing the environment information in the target area with the pre-input normal operation environment information through the equipment maintenance decision analysis model to generate environment comparison information;
and the maintenance generation submodule is used for generating corresponding initial equipment maintenance information by adopting an equipment maintenance decision analysis model according to the equipment comparison information and the environment comparison information.
3. The equipment maintenance system using the big data decision analysis model according to claim 1, further comprising a plan adjustment module for obtaining and adjusting the equipment maintenance plan in real time according to maintenance work condition information of maintenance personnel to generate maintenance adjustment information.
4. The equipment maintenance system using the big data decision analysis model according to claim 1, further comprising a human inspection module for obtaining and importing inspection data of an inspection worker into a preset equipment maintenance decision analysis model, and generating initial equipment maintenance information according to the inspection data, industrial equipment information and environmental information in a target area through the equipment maintenance decision analysis model.
5. A device maintenance method applying a big data decision analysis model is characterized by comprising the following steps:
acquiring and setting data transmission nodes according to data transmission equipment information and industrial equipment quantity information in a target area;
acquiring and uploading industrial equipment information and environmental information in a target area according to a preset acquisition period through a data transmission node;
importing the industrial equipment information and the environmental information in the target area into a preset equipment maintenance decision analysis model to generate initial equipment maintenance information;
acquiring operation associated information of corresponding equipment according to the information of the equipment to be maintained in the initial equipment maintenance information;
importing the operation associated information into a preset equipment maintenance decision analysis model to generate associated maintenance information;
and generating and sending an equipment maintenance scheme according to the initial equipment maintenance information and the associated maintenance information.
6. The device maintenance method applying the big data decision analysis model according to claim 5, wherein the method for importing the industrial device information and the environmental information in the target area into a preset device maintenance decision analysis model and generating the initial device maintenance information comprises the following steps:
importing the industrial equipment information and the environmental information in the target area into a preset equipment maintenance decision analysis model;
comparing the industrial equipment information in the target area with the pre-recorded basic operation parameters of the corresponding equipment through an equipment maintenance decision analysis model to generate equipment comparison information;
comparing the environmental information in the target area with pre-input normal operation environmental information through an equipment maintenance decision analysis model to generate environmental comparison information;
and generating corresponding initial equipment maintenance information by adopting an equipment maintenance decision analysis model according to the equipment comparison information and the environment comparison information.
7. The method for maintaining equipment by using big data decision analysis model according to claim 5, further comprising the following steps:
and acquiring and adjusting the equipment maintenance scheme in real time according to the maintenance operation condition information of the maintainers to generate maintenance adjustment information.
8. The method for maintaining equipment by using big data decision analysis model according to claim 5, further comprising the following steps:
and acquiring and importing the routing inspection data of the routing inspection personnel into a preset equipment maintenance decision analysis model, and generating initial equipment maintenance information according to the routing inspection data, the industrial equipment information in the target area and the environmental information through the equipment maintenance decision analysis model.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the method of any of claims 5-8.
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 5-8.
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