CN113052480A - Equipment risk assessment method based on image model analysis - Google Patents
Equipment risk assessment method based on image model analysis Download PDFInfo
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- CN113052480A CN113052480A CN202110370725.XA CN202110370725A CN113052480A CN 113052480 A CN113052480 A CN 113052480A CN 202110370725 A CN202110370725 A CN 202110370725A CN 113052480 A CN113052480 A CN 113052480A
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- 238000004458 analytical method Methods 0.000 title claims abstract description 21
- 238000012502 risk assessment Methods 0.000 title claims abstract description 17
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000001514 detection method Methods 0.000 claims abstract description 33
- 238000004519 manufacturing process Methods 0.000 claims abstract description 19
- 238000013499 data model Methods 0.000 claims abstract description 4
- 230000007613 environmental effect Effects 0.000 claims abstract 4
- 239000003086 colorant Substances 0.000 claims description 5
- 238000012423 maintenance Methods 0.000 claims description 5
- 238000009877 rendering Methods 0.000 claims description 4
- 238000011156 evaluation Methods 0.000 claims description 3
- 238000010276 construction Methods 0.000 claims 1
- 238000012797 qualification Methods 0.000 abstract 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention discloses an equipment risk assessment method based on image model analysis, which comprises the following steps: constructing a model, recording data, corresponding marks, logically drawing, analyzing and evaluating; step one, constructing a model: constructing each safety production benchmark equipment model according to the safety production benchmark data of the national power grid power equipment; step two, recording data: collecting all data and environmental data of detection equipment in all aspects, constructing a relational data model of environmental conditions and the detection equipment, and recording all data; step three, marking the state points of the reference model as a reference by using a plurality of rules, and marking the detection equipment model under the same rule; step four, acquiring all state points, wherein the reference point is a yellow state domain, green production equipment is arranged above the reference point, a red alarm domain is arranged below the alignment point, and an image is rendered according to the distribution trend of the state points; and fifthly, analyzing the image and evaluating the equipment risk. The equipment risk assessment method based on image model analysis is applied to visualize data and vividly show three-dimensional data of detection equipment; based on model comparison, automatically analyzing the qualification of the detection equipment; according to the safety production state domain image, the risk probability of the equipment is analyzed, weak equipment can be better identified, and risks are prevented; the detection mechanism has more emphasis in the detection work in the future, and the efficiency of the detection work is greatly improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an equipment risk assessment method based on image model analysis.
Background
The electrical equipment detection mechanism is a foundation for the safe and stable operation of a national power grid and is an important guarantee for the safe production of a national power grid company, but the electrical equipment detection mechanism repeats mechanical detection work, completely and simultaneously looks at the same detection equipment, does not have key detection equipment and risk awareness, and is produced by the equipment risk assessment system based on image model analysis.
The equipment risk assessment system based on image model analysis is applied to visualize data and vividly show the weak points of performance data of the detection equipment; automatically analyzing deviation points of the detection equipment based on model comparison; obtaining each state point, and marking the actual detection data offset by color through rendering to form a quality contrast color map; the risk probability of the equipment is calculated according to the detection data offset map, potential problem equipment is better identified, large risk equipment is prevented from being generated, and the running state of the equipment is protected; meanwhile, the later detection work of the maintenance department is more targeted, and the efficiency of the maintenance work is greatly improved.
Disclosure of Invention
The invention aims to provide an equipment risk assessment method based on image model analysis, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an equipment risk assessment method based on image model analysis comprises the following steps: building a model, recording data, corresponding marks, logically drawing, analyzing and evaluating.
Specifically, the first step is to construct a model: and constructing a web model based on js according to the safety production benchmark data of the national power grid power equipment, and constructing each safety production benchmark equipment model.
Step two, recording data: comprehensively collecting various data and environment data of detection equipment, constructing a web model based on js, constructing a relation data model of environment conditions and the detection equipment, and recording all the data;
step three, corresponding marking: according to the safety production benchmark model of each equipment, automatically analyzing, judging the safety production rate, and acquiring the corresponding equipment state points according to the standard and various specific conditions, wherein different state points are marked by different colors;
step four, logic drawing: and automatically rendering the image according to the state points, generating a spectrogram of the offset of the equipment quality data, and marking the offset degree by using colors. The more the detection data is, the more the obtained image can reflect the actual situation;
step five, analysis and evaluation: and analyzing the quality weak points obtained under the big data of the detection equipment, and evaluating the risk rate of the equipment through algorithm analysis.
Compared with the prior art, the invention has the beneficial effects that:
the existing equipment quality management can only determine the equipment quality by detecting whether the detection result is qualified, but cannot judge the risk of qualified equipment in operation at a later date.
By applying the equipment risk assessment method based on image model analysis, data are visualized, and the performance data weakness of the detection equipment is vividly displayed; based on model comparison, the offset of the data is compared and detected by using a color spectrogram, the risk of the equipment stored in the performance can be visually seen, and the later maintenance and operation can compile a customized inspection and maintenance scheme aiming at the weak equipment states.
Drawings
Fig. 1 is an explanatory diagram of risk assessment.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1, in an embodiment of the present invention, an apparatus risk assessment method based on image model analysis includes the following steps: building a model, recording data, corresponding marks, logically drawing, analyzing and evaluating.
An equipment risk assessment method based on image model analysis comprises the following steps: building a model, recording data, corresponding marks, logically drawing, analyzing and evaluating.
Specifically, the first step is to construct a model: and constructing a web model based on js according to the safety production benchmark data of the national power grid power equipment, and constructing each safety production benchmark equipment model.
Step two, recording data: comprehensively collecting various data and environment data of detection equipment, constructing a web model based on js, constructing a relation data model of environment conditions and the detection equipment, and recording all the data;
step three, corresponding marking: according to the safety production benchmark model of each equipment, automatically analyzing, judging the safety production rate, and acquiring the corresponding equipment state points according to the standard and various specific conditions, wherein different state points are marked by different colors;
step four, logic drawing: and automatically rendering the image according to the state points, generating a spectrogram of the offset of the equipment quality data, and marking the offset degree by using colors. The more the detection data is, the more the obtained image can reflect the actual situation;
step five, analysis and evaluation: and analyzing the quality weak points obtained under the big data of the detection equipment, and evaluating the risk rate of the equipment through algorithm analysis.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention 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 invention 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.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
Claims (3)
1. An equipment risk assessment method based on image model analysis is characterized by comprising the following steps: constructing a model, recording data, corresponding marks, logically drawing, analyzing and evaluating;
the method comprises the following steps of: constructing each safety production benchmark equipment model according to the safety production benchmark data of the national power grid power equipment;
step two, recording data: the method comprises the steps of comprehensively acquiring various data and environmental data of detection equipment, constructing a data model of relation between environmental conditions and the detection equipment, recording all data, wherein the data acquisition is from a detection standard of a national network maintenance company specialty, developing an automatic detection station, and taking the system as a laboratory supervision system for data acquisition, wherein the station is provided with a humiture device collector and also can record humiture data for later-stage risk assessment;
step three, corresponding marking: according to the safety production benchmark model of each equipment, automatically analyzing, judging the safety production rate, and acquiring the corresponding equipment state point according to the standard and various specific conditions;
step four, logic drawing: automatically rendering an image according to the state points to generate a safe production state domain;
step five, analysis and evaluation: and analyzing the safety production state domain obtained under the big data of the detection equipment, and evaluating the risk rate of the equipment through algorithm analysis.
2. The equipment risk assessment method based on image model analysis according to claim 1, wherein the step of constructing the model and the step of recording the data are based on js construction of the web model.
3. The equipment risk assessment method based on image model analysis according to claim 1, wherein in the corresponding marking step, different state points are marked by different colors.
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| CN202110370725.XA CN113052480A (en) | 2021-04-07 | 2021-04-07 | Equipment risk assessment method based on image model analysis |
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| CN202110370725.XA CN113052480A (en) | 2021-04-07 | 2021-04-07 | Equipment risk assessment method based on image model analysis |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103149549A (en) * | 2013-02-05 | 2013-06-12 | 重庆市电力公司电力科学研究院 | Method and system of data processing based on electric energy metering device |
| CN103679296A (en) * | 2013-12-24 | 2014-03-26 | 云南电力调度控制中心 | Grid security risk assessment method and model based on situation awareness |
| US20180349817A1 (en) * | 2017-06-01 | 2018-12-06 | Autodesk, Inc. | Architecture, engineering and construction (aec) risk analysis system and method |
| CN111444055A (en) * | 2020-04-26 | 2020-07-24 | 昆山润石智能科技有限公司 | System for health assessment and maintenance of equipment |
| CN111565123A (en) * | 2020-05-07 | 2020-08-21 | 联桥网云信息科技（长沙）有限公司 | Real-time representation visualization method for 3D model of running state of Internet of things equipment |
| CN112200433A (en) * | 2020-09-25 | 2021-01-08 | 华电福新广州能源有限公司 | Power plant thermal performance analysis and optimization system |
-
2021
- 2021-04-07 CN CN202110370725.XA patent/CN113052480A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103149549A (en) * | 2013-02-05 | 2013-06-12 | 重庆市电力公司电力科学研究院 | Method and system of data processing based on electric energy metering device |
| CN103679296A (en) * | 2013-12-24 | 2014-03-26 | 云南电力调度控制中心 | Grid security risk assessment method and model based on situation awareness |
| US20180349817A1 (en) * | 2017-06-01 | 2018-12-06 | Autodesk, Inc. | Architecture, engineering and construction (aec) risk analysis system and method |
| CN111444055A (en) * | 2020-04-26 | 2020-07-24 | 昆山润石智能科技有限公司 | System for health assessment and maintenance of equipment |
| CN111565123A (en) * | 2020-05-07 | 2020-08-21 | 联桥网云信息科技（长沙）有限公司 | Real-time representation visualization method for 3D model of running state of Internet of things equipment |
| CN112200433A (en) * | 2020-09-25 | 2021-01-08 | 华电福新广州能源有限公司 | Power plant thermal performance analysis and optimization system |
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Application publication date: 20210629 |