CN107103337A - Status of electric power diagnostic device and method based on Internet of Things and information fusion - Google Patents
Status of electric power diagnostic device and method based on Internet of Things and information fusion Download PDFInfo
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- CN107103337A CN107103337A CN201710345682.3A CN201710345682A CN107103337A CN 107103337 A CN107103337 A CN 107103337A CN 201710345682 A CN201710345682 A CN 201710345682A CN 107103337 A CN107103337 A CN 107103337A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/253—Fusion techniques of extracted features
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/251—Fusion techniques of input or preprocessed data
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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 present invention relates to a kind of status of electric power diagnostic device and method based on Internet of Things and information fusion, the device includes status information of equipment extraction module, device diagnostic result output module and data analysis module；Data analysis module is provided with status information of equipment data interface module, data prediction and feature extraction unit, Data Fusion unit, Data induction analytic unit and data output interface module；This method includes the information data that equipment state is obtained by status information of equipment extraction module；Data are pre-processed and feature extraction；Fusion treatment fusion is normalized in Data Fusion unit；Analyzed and processed by Data induction analytic unit, determine the state of equipment.The present invention can in time, comprehensively be diagnosed to be the running status of equipment, reach the effect detected on demand, be conducive to reasonably being configured limited human resources, alleviate the operating pressure of staff, while also having saved cost for electric power enterprise.
Description
Technical field
The invention belongs to status of electric power diagnostic techniques field, especially a kind of electricity based on Internet of Things and information fusion
Power equipment state diagnostic device and method.
Background technology
Power equipment in power system includes various states information, how status of electric power is carried out promptly and accurately
Diagnose the normal operation for power system and play vital effect.Current power system device state-detection can be used
Traversal formula detection mode, it has that failure diagnosis information is not comprehensive enough, diagnosis；Power system device shape
State detection can also use and the method that data carry out equipment state diagnosis is obtained under line, but this detection method poor real,
It is difficult to the need for meeting equipment state quick diagnosis.
The content of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of electric power based on Internet of Things and information fusion
Equipment state diagnostic device and method, solve the information that existing traditional method for diagnosing faults considers it is not comprehensive enough, it is diagnosis when
The effect property defect such as difference, and solve use now carry out the less reliable of equipment state diagnosis by obtaining data under line and be difficult to
The problem of meeting equipment state quick diagnosis.
The present invention solves its technical problem and takes following technical scheme to realize：
A kind of status of electric power diagnostic device based on Internet of Things and information fusion, including status information of equipment extract mould
Block, device diagnostic result output module and data analysis module；Described data analysis module is provided with status information of equipment data
Interface module, data prediction and feature extraction unit, Data Fusion unit, Data induction analytic unit and data output
Interface module, the data prediction is used to status information of equipment data carrying out pretreatment with feature extraction unit and feature is carried
The characteristic of extraction is taken and exports, described Data Fusion unit is used to Equipment Foundations feature input data entering line number
According to fusion treatment and the data after fusion treatment are exported, described Data induction analytic unit is used to carry out the data after fusion
Analyze and process and export analysis processing result；The data output end and data prediction of described status information of equipment extraction module
It is connected with the input of feature extraction unit by status information of equipment data interface module, data prediction and feature extraction
The output end of unit is connected with the input of Data Fusion unit, and output end and the data of Data Fusion unit are returned
The input of analytic unit received is connected, the output end of Data induction analytic unit and the input of device diagnostic result output module
End is connected by data output interface module.
The status information of equipment data include：Online monitoring data, inspection information data, test data and failure exception
Data.
A kind of method of the status of electric power diagnostic device based on Internet of Things and information fusion, comprises the following steps：
Step 1：The information data of equipment state is obtained by status information of equipment extraction module, and selects to influence to set
The standby factor normally run is used as the basic data pre-processed with feature extraction；
Step 2：Data are pre-processed and feature extraction in data prediction and feature extraction unit, will pretreatment with
The characteristic of extraction as fusion basic data；
Step 3：Fusion treatment fusion is normalized in Data Fusion unit in the basic data that step 2 is determined；
Step 4：The data of normalization fusion treatment are taken into suitable algorithm combination industry by Data induction analytic unit
Business is analyzed and processed, and analysis processing result is exported；
Step 5：Obtained by step 4 after analysis processing result, the state for determining equipment according to result is：Equipment is just
Often, have that part hidden danger, potential problem be serious and unit exception.
The transformation for mula that the step 3 data normalization fusion treatment is used for：
Wherein, xiIt is the data of input, xi' for normalization after data, xminAnd xmaxBe respectively sample minimum data and
Maximum data.
Advantages and positive effects of the present invention are：
1st, the present invention utilizes the existing status information of equipment data of electric power enterprise, is entered by Internet of Things and information fusion technology
Row equipment state is diagnosed, and can realize bigger data throughout, obtains more comprehensively status of electric power information data, full
Monitoring, diagnosing equipment state needs when full, and analyze data is more efficient, more can feed back the running status of equipment in time, is electricity
The maintenance of power equipment provides strong support, is conducive to electric power enterprise to take effective prevention and treatment measures in time, from
And reduce the fault rate of power equipment, it is ensured that safe operation of power system.
2nd, the present invention gathers the status information of power equipment and by information fusion technology by technology of Internet of things, to collection
Information carry out feature extraction and fusion, then the data after fusion are carried out at analysis by the algorithm being combined with specific business
Reason, finally feeds back to result on specific power equipment while result is obtained.The present invention can in time, entirely
The running status for being diagnosed to be equipment in face, detects relative to traditional traversal formula, has reached the effect detected on demand, be conducive to by
Limited human resources are reasonably configured, and alleviate the operating pressure of staff, while also being saved for electric power enterprise
Cost.
Brief description of the drawings
Fig. 1 is the status of electric power diagnostic device schematic diagram based on Internet of Things and information fusion of the invention；
Fig. 2 is the status of electric power diagnostic method flow chart based on Internet of Things and information fusion of the invention；
Wherein, 1- status information of equipment extraction module, 201- data predictions and feature extraction unit, 202- data fusions
Processing unit, 203- Data induction analytic units, 3- device diagnostic result output modules, 4- status information of equipment data-interface moulds
Block, 5- data output interface modules.
Embodiment
The present invention is further described below in conjunction with accompanying drawing：
The present invention is that technology of Internet of things, information fusion technology are applied in status of electric power detection.Technology of Internet of things
Perception identification is carried out to physical world by cognition technology and intelligent apparatus, then by based on internet, telecommunications network, Broadcasting Cable Network
Ubiquitous network interconnection carries out intelligence computation, information processing and knowledge excavation, realizes people with the information seamless link of thing, thing and thing with handing over
Mutually, it is possible to achieve to the purpose of real-time control, management and the decision-making of physical world.During this, because the information being related to is come
Source is wide, and data structure has differences, and to be analyzed by the data of multidimensional, it is necessary first to which this multivariate data is merged.
Information fusion technology solves multivariate information fusion this problem well, by using different time and the multisensor in space
Information resources, are divided the multisensor observed information chronologically obtained automatically using computer technology under certain criterion
Analyse, integrate, dominate and use, obtain and the uniformity of measurand is explained and described, to complete required decision-making and estimation times
Business, the information process for making system obtain the performance more superior than its each part and carrying out.
A kind of status of electric power diagnostic device based on Internet of Things and information fusion, as shown in figure 1, including equipment state
Information extraction modules 1, device diagnostic result output module 3 and data analysis module；Set in described data analysis module
Standby status information data interface module 4, data prediction and feature extraction unit 201, Data Fusion unit 202, data
Reductive analysis unit 203 and data output interface module 5, described data prediction are used to set with feature extraction unit 201
Standby status information data carries out pretreatment and feature extraction and exports the characteristic of extraction, described Data Fusion unit
202 are used to Equipment Foundations feature input data carrying out Data Fusion and export the data after fusion treatment, described number
It is used to be analyzed and processed the data after fusion according to reductive analysis unit 203 and exports analysis processing result；Described equipment
The data output end of status information extraction module 1 passes through equipment shape with data prediction and the input of feature extraction unit 201
State information data interface module is connected, data prediction and the output end and Data Fusion list of feature extraction unit 201
The input of member 202 is connected, the output end of Data Fusion unit 202 and the input of Data induction analytic unit 203
It is connected, the output end of Data induction analytic unit 203 passes through data output with the input of device diagnostic result output module 3
Interface module 5 is connected
In use, status information of equipment extraction module 1 is used to obtain status of electric power information data as equipment shape
The basic input data of state diagnostic analysis；Data analysis module is used to analyze and process data and export diagnostic result, root
Whether the factor that may determine that input according to diagnostic result type can really impact to diagnostic result；Device diagnostic result is exported
Module 3 is used to exporting diagnostic result and mark the factor of equipment fault of easily causing, electric power enterprise can adopt an effective measure into
Row key monitoring, it is to avoid cause economic loss.The present invention is using the status information of equipment data of electric company as input, by number
Data preprocess, characteristic processing, three steps of data fusion and data reductive analysis, final output equipment state diagnostic result.Number
Data fusion is carried out by the way of data Layer is merged and Feature-level fusion is combined according to analysis module, current equipment can be met
The demand of status information data fusion.
In the present embodiment, status information of equipment data input includes：Online monitoring data, inspection information data, experiment
Data, failure exception data etc..In actual application, according to the actual requirements, other more basic numbers can also be chosen
According to as condition diagnosing input data, output equipment condition diagnosing result after being analyzed and processed is not limited in choosing above-mentioned
Input data.
Data Fusion unit 202 first can all carry out feature all by the way of Feature-level fusion to all data
Extract, then fusion is identified, the mode that data Layer and characteristic layer are combined for being not limited in choosing carries out data fusion.
A kind of status of electric power diagnostic method based on Internet of Things and information fusion, comprises the following steps：
Step 1：The information data of equipment state is obtained by status information of equipment extraction module, and selects to influence to set
The standby factor normally run is as the basic data pre-processed with feature extraction, afterwards into step 2；
Step 2：Data are pre-processed and feature extraction in data prediction and feature extraction unit, will pretreatment with
The characteristic of extraction as fusion basic data, afterwards into step 3；
Step 3：The basic data of data fusion is determined by step 2, by these characteristics in Data Fusion list
Member is normalized and merged, the data normalization transformation for mula that uses of processing for：
Wherein, xiIt is the data of input, xi' for normalization after data, xminAnd xmaxBe respectively sample minimum data and
Maximum data, afterwards into step 4；
Step 4：The data of normalization fusion treatment are taken into suitable algorithm combination industry by Data induction analytic unit
Business is analyzed and processed, and analysis processing result is exported, afterwards into step 5；
Step 5：Obtained by step 4 after analysis processing result, the state for determining equipment according to result is：Equipment is just
Often, have that part hidden danger, potential problem be serious, unit exception.Normal device is detected on schedule just may be used；There is the equipment of part hidden danger
Need to pay close attention to；The serious equipment of potential problem needs to be handled by means such as experiments；Warping apparatus should be carried out in time
Maintenance is changed.
It is emphasized that embodiment of the present invention is illustrative, rather than it is limited, therefore present invention bag
Include and be not limited to embodiment described in embodiment, it is every by those skilled in the art's technique according to the invention scheme
The other embodiment drawn, also belongs to the scope of protection of the invention.
Claims (4)
1. a kind of status of electric power diagnostic device based on Internet of Things and information fusion, it is characterised in that：Including equipment state
Information extraction modules, device diagnostic result output module and data analysis module；Described data analysis module is provided with equipment shape
State information data interface module, data prediction and feature extraction unit, Data Fusion unit, Data induction analytic unit
With data output interface module, the data prediction is used in advance be located status information of equipment data with feature extraction unit
Reason and feature extraction and the characteristic for exporting extraction, described Data Fusion unit are used to input Equipment Foundations feature
Data carry out Data Fusion and export the data after fusion treatment, and described Data induction analytic unit will be used for after merging
Data analyzed and processed and export analysis processing result；The data output end of described status information of equipment extraction module with
Data prediction is connected with the input of feature extraction unit by status information of equipment data interface module, data prediction
It is connected with the output end of feature extraction unit with the input of Data Fusion unit, the output of Data Fusion unit
End is connected with the input of Data induction analytic unit, and output end and the device diagnostic result of Data induction analytic unit are exported
The input of module is connected by data output interface module.
2. status of electric power diagnostic device and method according to claim 1 based on Internet of Things and information fusion, its
It is characterised by：The status information of equipment data include：Online monitoring data, inspection information data, test data and failure are different
Regular data.
3. a kind of method of the status of electric power diagnostic device based on Internet of Things and information fusion as claimed in claim 1 or 2,
It is characterized in that comprising the following steps：
Step 1：The information data of equipment state is obtained by status information of equipment extraction module, and selects that equipment may be being influenceed just
The factor often run is used as the basic data pre-processed with feature extraction；
Step 2：Data are pre-processed and feature extraction in data prediction and feature extraction unit, by pretreatment and extraction
Characteristic as fusion basic data；
Step 3：Fusion treatment fusion is normalized in Data Fusion unit in the basic data that step 2 is determined；
Step 4：Suitable algorithm combination business is taken to enter by Data induction analytic unit the data of normalization fusion treatment
Row analyzing and processing, and analysis processing result is exported；
Step 5：Obtained by step 4 after analysis processing result, the state for determining equipment according to result is：Equipment is normal,
Have that part hidden danger, potential problem be serious and unit exception.
4. the method for the status of electric power diagnostic device according to claim 3 based on Internet of Things and information fusion, it is special
Levy and be：The transformation for mula that the step 3 data normalization fusion treatment is used for：
<mrow>
<msubsup>
<mi>x</mi>
<mi>i</mi>
<mo>&prime;</mo>
</msubsup>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>x</mi>
<mi>i</mi>
</msub>
<mo>-</mo>
<msub>
<mi>x</mi>
<mi>min</mi>
</msub>
</mrow>
<mrow>
<msub>
<mi>x</mi>
<mi>max</mi>
</msub>
<mo>-</mo>
<msub>
<mi>x</mi>
<mrow>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
</mrow>
</msub>
</mrow>
</mfrac>
</mrow>
Wherein, xiIt is the data of input, x 'iFor the data after normalization, xminAnd xmaxIt is the minimum data and maximum of sample respectively
Data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201710345682.3A CN107103337A (en) | 2017-05-17 | 2017-05-17 | Status of electric power diagnostic device and method based on Internet of Things and information fusion |
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| CN201710345682.3A CN107103337A (en) | 2017-05-17 | 2017-05-17 | Status of electric power diagnostic device and method based on Internet of Things and information fusion |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107727420A (en) * | 2017-09-14 | 2018-02-23 | 深圳市盛路物联通讯技术有限公司 | Equipment detection method and related product |
| CN109494882A (en) * | 2018-12-29 | 2019-03-19 | 上海南华兰陵电气有限公司 | A kind of diagnostic method and system of transformer substation switch equipment state |
| CN111862380A (en) * | 2020-07-16 | 2020-10-30 | 广元量知汇科技有限公司 | Intelligent security inspection management method |
| CN114079963A (en) * | 2022-01-20 | 2022-02-22 | 中铁十八局集团第四工程有限公司 | Active safety control system for in-site construction equipment based on wireless network communication |
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| CN102590683A (en) * | 2012-02-27 | 2012-07-18 | 浙江大学 | Online diagnosing and early warning method for current-carrying faults of power equipment |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107727420A (en) * | 2017-09-14 | 2018-02-23 | 深圳市盛路物联通讯技术有限公司 | Equipment detection method and related product |
| CN107727420B (en) * | 2017-09-14 | 2021-05-28 | 深圳市盛路物联通讯技术有限公司 | Equipment detection method and related product |
| CN109494882A (en) * | 2018-12-29 | 2019-03-19 | 上海南华兰陵电气有限公司 | A kind of diagnostic method and system of transformer substation switch equipment state |
| CN109494882B (en) * | 2018-12-29 | 2020-11-24 | 上海南华兰陵电气有限公司 | Method and system for diagnosing state of substation switch equipment |
| CN111862380A (en) * | 2020-07-16 | 2020-10-30 | 广元量知汇科技有限公司 | Intelligent security inspection management method |
| CN111862380B (en) * | 2020-07-16 | 2021-07-06 | 吕强 | Intelligent security inspection management method |
| CN114079963A (en) * | 2022-01-20 | 2022-02-22 | 中铁十八局集团第四工程有限公司 | Active safety control system for in-site construction equipment based on wireless network communication |
| CN114079963B (en) * | 2022-01-20 | 2022-04-22 | 中铁十八局集团第四工程有限公司 | Active safety control system for in-site construction equipment based on wireless network communication |
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