CN115222070B - Data analysis method for intelligent fire-fighting quick positioning maintenance problem - Google Patents
Data analysis method for intelligent fire-fighting quick positioning maintenance problem Download PDFInfo
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Abstract
The invention discloses a data analysis method for intelligent fire-fighting quick positioning maintenance problems, which comprises the steps of data acquisition regularity, data analysis, equipment positioning, early warning notification and scheme output, wherein after the original data is collected, single equipment or a plurality of equipment is judged, the equipment corresponds to a system table, the single equipment corresponds to an equipment tree table, and after the self-learning model file is deployed, the corresponding output solution and early warning notification in the subsequent input application retrieval work are carried out.
Description
Technical Field
The invention relates to the technical field of maintenance of fire-fighting equipment, in particular to a data analysis method for intelligent fire-fighting quick positioning maintenance problems.
Background
With the development of novel technologies such as the Internet of things, big data and cloud computing, the existing technologies cannot meet the increasingly developed digital fire-fighting demands, so that intelligent fire-fighting is generated. The intelligent fire control is mainly realized through technologies such as cloud computing, big data, the Internet of things and the like, and a new pattern is brought for fire control digital informatization work.
The intelligent fire control among the prior art is only to traditional fire control facility equipment's detection and remote control, there is data structure diversified, it is not unified, be difficult to carry out the data rule after carry out collect fast and correspond data and carry out unified processing, current intelligent fire control is to problem data's data analysis simultaneously, do not realize the training of completion yet, discernment, the location, the integration of scheme output, be difficult to the quick location of fire control equipment and relative problem, and then to fire control equipment location inaccuracy, judge the analysis to the problem demand manual work that detects, thereby it is general to lead to fire control early warning and follow-up remedy scheme effect.
Disclosure of Invention
The present invention has been made in view of the above-mentioned problems occurring in the conventional intelligent fire data processing.
Therefore, one of the purposes of the invention is to provide a data analysis method for intelligent fire-fighting quick positioning maintenance problems, which is used for carrying out data regularity, data analysis, quick positioning, early warning notification and scheme output on problem data, combining training of data self-learning, hierarchical function definition, qualitative problems possibly existing in equipment and further completing training, identification, positioning and scheme output integration through a single equipment data tree form, a plurality of systems and equipment data tree forms.
In order to solve the technical problems, the invention provides the following technical scheme: the method comprises the steps of data acquisition regularity, data analysis, equipment positioning, early warning notification and scheme output;
the method is suitable for supporting the data input of all networking fire-fighting equipment in the market, performs unified analysis, reasonable classification and processing, and after the data acquisition, collects the equipment data according to the requirement and submits the collected data to an analysis engine database for standardized input; based on the method, the standardization of data input can be realized, different acquisition modes of active passive equipment are not required to be replaced according to different manufacturers, meanwhile, the reliability and consistency of the data are effectively provided, and corresponding data are rapidly collected for unified processing.
The data analysis is used for training, identifying, positioning and integrating scheme output on the input device data, and further, training, identifying and associating a positioning scheme on single device basic data, single device maintenance data, single device system maintenance data formed by a plurality of devices and device tree table data; the data analysis method for the fire fighting equipment data processing standardization is realized.
The equipment positioning, namely carrying out layering and function-dividing qualitative and qualitative equipment-existing problems by combining the training of data self-learning through a single equipment data tree form and a plurality of system equipment data tree forms; solves the problem that the prior domestic fire-fighting equipment is difficult to quickly position.
The early warning notice, the equipment and the equipment system are mutually combined and then learn by themselves, and the early warning notice is sent out after the equipment problem is determined; thereby realizing the problems caused by the associated equipment and guiding and positioning problems.
The scheme is output, a corresponding problem solution is generated, further, after problem records are formed through data acquisition regularity, data analysis, equipment positioning and early warning notification and data caching are carried out, self-learning training is carried out, namely, after feedback judgment, problem database returning is continuously carried out, a possibility solution is output after continuous retrieval by using key field characteristics, or the corresponding problem is rapidly retrieved and the solution is output; by retrieving matches, solutions and operational flows can be quickly presented.
As a preferred embodiment of the present invention, wherein: the data analysis comprises the following specific steps:
the method comprises the steps of segmenting equipment data, decomposing corresponding sentences into segmented words through a field controller, and sequencing according to weight scores; judging the number of the equipment, judging the single equipment and the plurality of equipment, and obtaining a corresponding judging equipment system or judging equipment system through judgment, wherein the judging equipment system corresponds to an equipment library table, and the judging equipment system corresponds to a system library table; according to the equipment keywords or the keywords, optimizing and comparing the equipment library table or the system library table, further, judging the associated equipment after searching and comparing according to the equipment library table, and judging the associated equipment of the associated system after searching and comparing according to the system library table; searching for matching, outputting problem equipment or equipment related to each other in the problem system and other corresponding equipment according to historical data and field situation description keywords in the equipment system and the equipment system; and comparing the field situation description keywords with the corresponding event situations, and outputting a result judgment.
As a preferred embodiment of the present invention, wherein: the analysis engine database adopts an elastic search database, and in the use process, equipment data are further collected according to requirements, reasonably classified and processed through unified analysis, and then standardized input is submitted to the elastic search database; the corresponding sentence is segmented through a field controller, and the weight and the segmentation result are stored into data together; ranking and scoring the results according to the weights when searching the data; and after the completion, returning the result to be presented and output.
As a preferred embodiment of the present invention, wherein: when the data acquisition is regular, specifically, after the data acquisition is carried out through an acquisition tool, data cleaning judgment is carried out, after the data missing from the category is complemented, data cleaning is carried out again until the category accords with the data, and the data is put in storage for later use.
As a preferred embodiment of the present invention, wherein: and when the data acquisition is regular, an asynchronous parallel processing mechanism is further adopted based on the middleware of the multi-channel message queue.
As a preferred embodiment of the present invention, wherein: in the early warning notification, after a single device problem is determined, other device problems which may occur are prompted.
As a preferred embodiment of the present invention, wherein: the method for generating the corresponding problem solution in the scheme output further comprises the step of searching and matching according to the equipment basic information category conclusion model, and the specific method for searching and matching by the equipment basic information category conclusion model step comprises the following steps:
after equipment problem data management and collection, field regularity is carried out, and the problems of corresponding equipment basic information types are obtained by disassembling, classifying and warehousing; and comparing and searching according to the category conclusion of the basic information of the corresponding equipment, and rapidly outputting a solution and forming a problem record.
As a preferred embodiment of the present invention, wherein: the method and the system can quickly search corresponding problems and output solutions, and particularly can quickly output solutions after carrying out equipment judgment and system judgment on standard problems and simultaneously carrying out problem search with a standard problem solution library.
As a preferred embodiment of the present invention, wherein: and automatically storing the problem records generated when the equipment performs problem retrieval into a database, further storing according to the corresponding tree form of equipment positioning, judging whether the problem records are similar problem records or not in the corresponding tree form of equipment positioning, and if so, automatically covering and updating, otherwise, storing.
The invention has the beneficial effects that: the invention solves the problems that the equipment is difficult to complete training, identification, positioning and scheme output integration of the generated problem data in the maintenance of the existing fire-fighting equipment, and not only can realize standardized data input, but also can combine the training of data self-learning, layering, job-grading and qualitative performance of a single equipment data tree form and a plurality of system equipment data tree forms mutually by using the analysis method of the scheme, namely the application of the data analysis in the maintenance of the fire-fighting equipment, thereby realizing the standardized analysis result model of the rapid positioning of the problem between the single equipment and the plurality of equipment, realizing rapid, rapid and accurate retrieval during scheme output and accurate positioning of the fire-fighting equipment.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Wherein:
FIG. 1 is a schematic flow diagram of the overall process of the present invention;
FIG. 2 is a flow chart of a data analysis step according to the present invention;
FIG. 3 is a flow chart of the data preprocessing of the present invention;
FIG. 4 is a topology of a device tree table structure of the present invention;
FIG. 5 is a diagram of a system tree table topology of the present invention;
fig. 6 is a schematic flow chart of the scheme output of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which are obtained by a person skilled in the art based on the described embodiments of the invention, fall within the scope of protection of the invention.
Because the field of maintenance of fire-fighting equipment does not comprise data acquisition, data regularity, data analysis, quick positioning, early warning notification and scheme output, the integration of completed training, recognition, positioning and scheme output is not realized;
based on this, referring to fig. 1 and fig. 2, for an embodiment of the present invention, the embodiment provides a data analysis method for smart fire-fighting quick positioning maintenance problem, which includes data acquisition normalization, data analysis, device positioning, early warning notification and scheme output, after collecting the original data, judging a single device or multiple devices, multiple device corresponding system tables, a single device corresponding device tree table, and after deploying a self-learning model file, performing subsequent input application search work, where the corresponding scheme is as follows:
1) The analysis method is suitable for supporting the data input of all the network fire fighting equipment on the market, performs unified analysis, reasonable classification and processing, collects the equipment data according to the requirement and submits the collected equipment data to an analysis engine database for standardized input after the data is acquired; based on the method, the standardization of data input can be realized, different acquisition modes of active passive equipment are not required to be replaced according to different manufacturers, meanwhile, the reliability and consistency of the data are effectively provided, and corresponding data are rapidly collected for unified processing.
Referring to fig. 3, in an embodiment of the present invention, preferably, data is preprocessed when data collection is regular, specifically, data cleaning is performed after data collection is performed by a collection tool or collection software, data missing from a category is complemented, and data cleaning is performed again until the category is consistent, and then the data is put in storage for standby; in addition, when data acquisition is regular, an asynchronous parallel processing mechanism is further adopted based on the middleware of the multi-channel message queue, and loose synchronous transaction guarantee measures are provided.
2) The data analysis is used for training, identifying, positioning and integrating scheme output on the input device data, and further, training, identifying and associating a positioning scheme on single device basic data, single device maintenance data, single device system maintenance data formed by a plurality of devices and device tree table data; the data analysis method for the fire fighting equipment data processing standardization is realized.
The specific steps of searching and matching through word segmentation during data analysis are as follows:
the method comprises the steps of segmenting equipment data, decomposing corresponding sentences into segmented words through a field controller, and sequencing according to weight scores; judging the number of the devices, judging the single device and the plurality of devices, and obtaining a corresponding judging device system or judging device system through judgment, wherein the judging device system corresponds to a device library table and the judging device system corresponds to a system library table; according to the equipment keywords or the keywords, optimizing and comparing the equipment library table or the system library table, further, judging the associated equipment after searching and comparing according to the equipment library table, and judging the associated equipment of the associated system after searching and comparing according to the system library table; searching for matching, outputting problem equipment or equipment related to each other in the problem system and other corresponding equipment according to historical data and field situation description keywords in the equipment system and the equipment system; and comparing the field situation description keywords with the corresponding event situations, and outputting a result judgment.
Meanwhile, the analysis engine database adopts an elastic search database, and in the use process, equipment data are further collected according to requirements, reasonably classified and processed through unified analysis, and then standardized input is submitted to the elastic search database; the corresponding sentence is segmented through a field controller, and the weight and the segmentation result are stored into data together; ranking and scoring the results according to the weights when searching the data; and after the completion, returning the result to be presented and output.
It should be noted that the elastic search is a distributed, highly-expanded, and highly-real-time search and data analysis engine, which can conveniently enable a large amount of data to have the capabilities of searching, analyzing and exploring, and fully utilizes the horizontal scalability of the elastic search, so that the data can become more valuable in the production environment. By adopting the analysis engine database, the matching and correlation matching can be accurately performed, searching and analysis can be performed simultaneously, and the relational database, namely the elastiscearch database is document storage, the object is originally locally put in and directly taken out when taken out, and meanwhile, the elastiscearch database is based on the inverted index, so that the inverted index has more obvious advantages in performance and space for document searching.
3) Referring to fig. 4 and fig. 5, for topology illustration of a system tree table structure and a system tree table structure, when a device is located, a single device data tree form and a plurality of system device data tree forms can be combined with each other to perform data self-learning training to perform layering and function-dividing qualitative, and to determine the problems of the device; solves the problem that the prior domestic fire-fighting equipment is difficult to quickly position.
4) The method comprises the steps of carrying out early warning notification, combining equipment and equipment systems, then learning the equipment and the equipment systems, sending out early warning reminding after equipment problems are determined, and reminding other equipment problems possibly occurring after single equipment problems are determined; thereby realizing the problems caused by the associated equipment and guiding and positioning problems.
5) Referring to fig. 6, for a scheme output schematic, a corresponding problem solution may be generated, where the problem solution includes outputting a solution, outputting a possible scheme, and outputting a corresponding scheme through a device basic information category conclusion; when the scheme is output, further, after problem records are formed through data acquisition regularity, data analysis, equipment positioning and early warning notification and data caching are carried out, self-learning training is carried out, namely continuous learning problem library returning is carried out after feedback judgment, and a possibility scheme is output after continuous retrieval by using key field characteristics, or corresponding problems are quickly retrieved and a solution is output; the solution and the operation flow can be rapidly given through retrieval matching, the problem management of the domestic fire-fighting equipment at present is solved, the problem is only recorded, and the recorded problem can not be rapidly given by non-professional staff.
Preferably, the solution output method generates a corresponding problem solution, and further includes searching and matching according to a device basic information category conclusion model step, and the specific method for searching and matching by the device basic information category conclusion model step is as follows:
after equipment problem data management and collection, field regularity is carried out, and the problems of corresponding equipment basic information types are obtained by disassembling, classifying and warehousing; and comparing and searching according to the category conclusion of the basic information of the corresponding equipment, and rapidly outputting a solution and forming a problem record.
It should be noted that, the corresponding problem is quickly retrieved and the solution is output, specifically, by performing device judgment and system judgment on the standard problem, and simultaneously, after the problem retrieval is performed with the standard problem solution library, the solution is quickly output.
Based on the problem records, the problem records generated when the equipment performs problem retrieval can be automatically stored in a database, further the problem records are stored according to the corresponding tree form of equipment positioning, meanwhile, in the corresponding tree form of equipment positioning, whether the problem records are similar or not is judged with the historical problem records, if yes, automatic coverage update is performed, otherwise, the problem records are stored, further the update of the historical similar problem records can be realized, redundant problem record data are removed, and the subsequent synchronous retrieval and use are facilitated.
In summary, it can be known that the user of the invention can realize standardization of data input without changing different acquisition modes of the active passive device according to different manufacturers; the reliability and consistency of the data can be effectively provided, and the data standardization is realized; the unified method is adopted for outputting single equipment basic data, single equipment maintenance data, single equipment system maintenance data and equipment tree table data, and the unified data analysis method for fire fighting equipment data processing standardization can be realized according to the scheme; through a single device data tree form and a plurality of system device data tree forms, the training of data self-learning, layering, job-grading and qualitative are combined with each other, and the possible problems of the equipment are qualitatively detected, so that a standardized analysis result model for quickly positioning the problems between the single equipment and the plurality of equipment is realized; the method comprises the steps of combining equipment and equipment systems with each other for self-learning, prompting other equipment problems possibly occurring after determining single equipment problems, realizing a standardized analysis result model for problem early warning among associated equipment, and carrying out self-learning training on accumulated data through data acquisition, data regularity, data analysis, quick positioning, early warning notification, quick retrieval of corresponding problem solutions by using characteristics such as keywords, or retrieval matching according to model steps.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. All or part of the steps of the methods of the embodiments described above may be performed by a program that, when executed, comprises one or a combination of the steps of the method embodiments, instructs the associated hardware to perform the method.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules described above, if implemented in the form of software functional modules and sold or used as a stand-alone product, may also be stored in a computer-readable storage medium. The storage medium may be a read-only memory, a magnetic or optical disk, or the like.
The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of various changes or substitutions within the technical scope of the present application, and these should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (6)
1. The data analysis method for the intelligent fire-fighting quick positioning maintenance problem is characterized by comprising the steps of data acquisition regularity, data analysis, equipment positioning, early warning notification and scheme output;
the method comprises the steps of acquiring autonomous data and data of each place through the Internet in real time, carrying out unified analysis, reasonable classification and processing after the data are acquired, collecting and submitting the equipment data to an analysis engine database according to requirements after the data are acquired, and carrying out standardized entry, wherein when the data are acquired in order, specifically, after the data are acquired through an acquisition tool, carrying out data cleaning judgment, carrying out data cleaning again after the data with the missing category are completed until the category accords, and warehousing for later use;
the data analysis is used for training, identifying, positioning and integrating scheme output on input equipment data, and further, training, identifying and associating positioning schemes are completed on single equipment basic data, single equipment maintenance data and single equipment system maintenance data and equipment tree table data formed by a plurality of equipment, wherein the data analysis specifically comprises the following steps:
the method comprises the steps of segmenting equipment data, decomposing corresponding sentences into segmented words through a field controller, and sequencing according to weight scores; judging the number of the equipment, judging the single equipment and the plurality of equipment, and obtaining a corresponding judging equipment system or judging equipment system through judgment, wherein the judging equipment system corresponds to an equipment library table, and the judging equipment system corresponds to a system library table; optimizing and comparing the search equipment library table or the system library table according to the equipment keywords or the keywords, judging the associated equipment after searching and comparing according to the equipment library table, and judging the associated equipment of the associated system after searching and comparing according to the system library table; searching for matching, outputting problem equipment or equipment related to each other in the problem system and other corresponding equipment according to historical data and field situation description keywords in the equipment system and the equipment system; comparing the field situation description keywords with the corresponding event situations, and outputting a result judgment;
the equipment positioning, namely carrying out layering and function-dividing qualitative and qualitative equipment-existing problems by combining the training of data self-learning through a single equipment data tree form and a plurality of system equipment data tree forms;
the early warning notice, the equipment and the equipment system are mutually combined and then learn by themselves, and the early warning notice is sent out after the equipment problem is determined;
the scheme is output, a corresponding problem solution is generated, further, after problem records are formed through data acquisition regularity, data analysis, equipment positioning and early warning notification and data caching are carried out, self-learning training is carried out, namely, after feedback judgment, problem database returning is continuously carried out, a possibility solution is output after continuous retrieval by using key field characteristics, or the corresponding problem is rapidly retrieved and the solution is output; the method for generating the corresponding problem solution in the scheme output further comprises the step of searching and matching according to the equipment basic information category conclusion model, and the specific method for searching and matching by the equipment basic information category conclusion model step comprises the following steps: after equipment problem data management and collection, field regularity is carried out, and the problems of corresponding equipment basic information types are obtained by disassembling, classifying and warehousing; and comparing and searching according to the category conclusion of the basic information of the corresponding equipment, and rapidly outputting a solution and forming a problem record.
2. The data analysis method for intelligent fire-fighting quick positioning maintenance problems according to claim 1, wherein the analysis engine database adopts an elastic search database, and further equipment data is collected according to requirements in the use process, reasonably classified and processed through unified analysis and standardized input and submitted to the elastic search database; the corresponding sentence is segmented through a field controller, and the weight and the segmentation result are stored into data together; ranking and scoring the results according to the weights when searching the data; and after the completion, returning the result to be presented and output.
3. The data analysis method for intelligent fire-fighting quick positioning maintenance problem according to claim 1, wherein when the data acquisition is regular, an asynchronous parallel processing mechanism is further adopted based on a multi-channel message queue middleware.
4. The data analysis method for intelligent fire-fighting quick positioning maintenance problem according to claim 1, wherein in the early warning notification, after determining a single equipment problem, other equipment problems possibly occurring are prompted.
5. The data analysis method for intelligent fire-fighting quick positioning maintenance problems according to claim 1, wherein the quick retrieval of corresponding problems and outputting solutions are performed, in particular, by performing equipment judgment and system judgment on standard problems, and after performing problem retrieval with a standard problem solution library, quickly outputting solutions.
6. The method for analyzing data of intelligent fire-fighting quick positioning maintenance problems according to claim 1, wherein the problem records generated when the equipment performs problem retrieval are automatically stored in a database, further stored according to the corresponding tree form of equipment positioning, and meanwhile in the corresponding tree form of equipment positioning, whether the problem records are similar to the history problem records or not is judged, if so, automatic coverage update is performed, and otherwise, the problem records are stored.
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