CN113780828B - Power transmission line insulator pollution detection method, system and storage medium - Google Patents
Power transmission line insulator pollution detection method, system and storage medium Download PDFInfo
- Publication number
- CN113780828B CN113780828B CN202111074663.4A CN202111074663A CN113780828B CN 113780828 B CN113780828 B CN 113780828B CN 202111074663 A CN202111074663 A CN 202111074663A CN 113780828 B CN113780828 B CN 113780828B
- Authority
- CN
- China
- Prior art keywords
- pollution
- data
- insulator
- transmission line
- sensor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 239000012212 insulator Substances 0.000 title claims abstract description 72
- 230000005540 biological transmission Effects 0.000 title claims abstract description 52
- 238000001514 detection method Methods 0.000 title abstract description 15
- 150000003839 salts Chemical class 0.000 claims abstract description 34
- 238000000034 method Methods 0.000 claims abstract description 22
- 238000012544 monitoring process Methods 0.000 claims abstract description 13
- 230000007613 environmental effect Effects 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 claims description 21
- 238000004364 calculation method Methods 0.000 claims description 16
- 238000004891 communication Methods 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 7
- 238000011156 evaluation Methods 0.000 claims description 7
- 239000000356 contaminant Substances 0.000 claims description 6
- 238000011109 contamination Methods 0.000 claims description 4
- 238000010586 diagram Methods 0.000 description 6
- 238000005259 measurement Methods 0.000 description 6
- 238000011897 real-time detection Methods 0.000 description 3
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 description 2
- RAHZWNYVWXNFOC-UHFFFAOYSA-N Sulphur dioxide Chemical compound O=S=O RAHZWNYVWXNFOC-UHFFFAOYSA-N 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- MGWGWNFMUOTEHG-UHFFFAOYSA-N 4-(3,5-dimethylphenyl)-1,3-thiazol-2-amine Chemical compound CC1=CC(C)=CC(C=2N=C(N)SC=2)=C1 MGWGWNFMUOTEHG-UHFFFAOYSA-N 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000003344 environmental pollutant Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 238000009413 insulation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- JCXJVPUVTGWSNB-UHFFFAOYSA-N nitrogen dioxide Inorganic materials O=[N]=O JCXJVPUVTGWSNB-UHFFFAOYSA-N 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000013618 particulate matter Substances 0.000 description 1
- 231100000719 pollutant Toxicity 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 239000011780 sodium chloride Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- 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
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/06—Investigating concentration of particle suspensions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—Specially adapted to detect a particular component
- G01N33/0037—Specially adapted to detect a particular component for NOx
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/0004—Gaseous mixtures, e.g. polluted air
- G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
- G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
- G01N33/0036—Specially adapted to detect a particular component
- G01N33/0042—Specially adapted to detect a particular component for SO2, SO3
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01W—METEOROLOGY
- G01W1/00—Meteorology
- G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover or wind speed
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
- Y02A50/20—Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters
Abstract
The application discloses a method, a system and a storage medium for detecting pollution of an insulator of a power transmission line, which belong to the field of online monitoring of overhead power transmission lines, wherein the detection method comprises the following steps: acquiring atmospheric pollution data; according to the atmospheric pollution data and environmental meteorological factors, obtaining pollution degree data of an insulator of the power transmission line: equivalent salt density ESDD and equivalent ash density NSDD. The method and the device can obtain continuous transmission line insulator pollution degree data.
Description
Technical Field
The invention relates to the field of online monitoring of overhead transmission lines, in particular to a method, a system and a storage medium for detecting pollution of insulators of transmission lines.
Background
The high-voltage line in China has long history (160 ten thousand kilometers) and wide distribution, and the pollution degree of the high-voltage line insulator is an important basis for guiding the insulation coordination design and line state maintenance of the power transmission line.
The method for measuring the pollution degree of the insulator at home and abroad mainly comprises the steps of measuring the conductivity of a pollution layer of the insulator, measuring the local surface conductivity of the insulator, measuring the leakage current and measuring the equivalent salt density on the surface of the insulator. These methods require three years of fouling data, and the power sector spends a lot of manpower and material resources manually measuring each year, for example, more than 100 points need to be measured each year by one Zhejiang Liwater power office. Meanwhile, because the methods have human factors, time and labor are wasted, the measurement period is difficult to reasonably determine, the annual maximum saturated salt density value of the on-site insulator salt density cannot be measured, and the data deviation is larger due to the influence of weather.
At present, the electric power department generally stops the power transmission of a high-voltage line at first, then spends a large amount of manpower and material resources to collect the accumulated dirt on the single-position area of the high-voltage line, measures the weight after roasting and dewatering to obtain the equivalent ash density NSDD value, and then measures the NaCl quantity with the same conductivity by a conductivity method to obtain the equivalent salt density ESDD value.
With respect to the related art in the above, the inventors consider that there are drawbacks in that: in the existing manual measurement mode, the power transmission of the high-voltage circuit is required to be stopped firstly during the test, and because the measurement results are scattered, only single data at a certain time point can be measured. In this regard, further improvements are desired.
Disclosure of Invention
In order to obtain continuous transmission line insulator pollution degree data, the application provides a transmission line insulator pollution detection method, a transmission line insulator pollution detection system and a storage medium.
In a first aspect, the present application provides a method for detecting a pollution of an insulator of a power transmission line, which adopts the following technical scheme:
the method for detecting the pollution of the insulator of the power transmission line comprises the following steps:
acquiring atmospheric pollution data;
according to the atmospheric pollution data and environmental meteorological factors, obtaining pollution degree data of an insulator of the power transmission line: equivalent salt density ESDD and equivalent ash density NSDD.
By adopting the technical scheme, the pollution degree data of the insulator of the power transmission line is obtained according to the atmospheric pollution data and the environmental meteorological factors, so that the accuracy of the pollution degree data of the insulator is improved; because the power transmission line does not need to be powered off and still keeps the electrified running state when the pollution degree data of the insulator are acquired, continuous pollution degree data of the insulator of the power transmission line can be obtained.
Preferably, the method obtains the pollution degree data of the insulator of the power transmission line according to the atmospheric pollution data and the environmental meteorological factors, and specifically calculates and obtains the values of the equivalent salt density ESDD and the equivalent ash density NSDD through the following formula:
ESDD＝0.071×P×K-0.007，
NSDD＝0.211×P×K-0.021，
wherein P is an atmospheric quality index, and K is a weather influence coefficient.
By adopting the technical scheme, the atmospheric environment of the region is detected in real time by adopting a big data fitting regression algorithm, and the values of the equivalent salt density ESDD and the equivalent ash density NSDD are calculated, so that the accuracy of measuring the pollution data of the insulator of the power transmission line is improved, and meanwhile, the pollution grade of the insulator can be divided and dynamically adjusted according to the measured data; according to a large number of data statistics, the scheme of the method is adopted to calculate the equivalent salt density ESDD and the equivalent ash density NSDD, the accuracy can reach +/-10%, and the accuracy is very high.
Preferably, the atmospheric quality index P is calculated by the following formula:
wherein,U TSP 、/>respectively SO 2 TSP and NO 2 Is a measured concentration of contaminants; />B TSP 、/>Respectively SO 2 TSP and NO 2 Is a pollution evaluation standard value of (2).
By adopting the technical scheme, the atmospheric quality index P is calculated, and then the atmospheric environment of the area can be conveniently detected, so that the accuracy of the pollution degree data of the insulator is improved.
Preferably, the weather modification factor K is calculated by the following formula:
where k is a region coefficient, b is an annual average air pressure of the corresponding region, h is an annual average humidity value of the corresponding region, r is an annual average rainfall of the corresponding region, and s is an annual average wind speed value of the corresponding region.
By adopting the technical scheme, the influence coefficient K of the air condition is calculated, and the influence value of the air condition on the pollution degree of the insulator is obtained, so that the accuracy of the pollution degree data of the insulator is improved.
In a second aspect, the present application provides a power transmission line insulator pollution detection system, which adopts the following technical scheme:
the atmospheric pollution data acquisition module is used for acquiring atmospheric pollution data;
the data processing module is used for obtaining the pollution degree data of the insulator of the power transmission line according to the atmospheric pollution data and the environmental meteorological factors: equivalent salt density ESDD and equivalent ash density NSDD.
By adopting the technical scheme, the pollution degree data of the insulator of the power transmission line is obtained according to the atmospheric pollution data and the environmental meteorological factors, so that the accuracy of the pollution degree data of the insulator is improved; because the power transmission line does not need to be powered off and still keeps the electrified running state when the pollution degree data of the insulator are acquired, continuous pollution degree data of the insulator of the power transmission line can be obtained.
Preferably, in the data processing module, the values of the equivalent salt density ESDD and the equivalent ash density NSDD are calculated by the following formula:
ESDD＝0.071×P×K-0.007，
NSDD＝0.211×P×K-0.021，
wherein P is an atmospheric quality index, and K is a weather influence coefficient.
The atmospheric quality index P is calculated by the following formula:
wherein,U TSP 、/>respectively SO 2 TSP and NO 2 Is a measured concentration of contaminants; />B TSP 、/>Respectively SO 2 TSP and NO 2 Is a pollution evaluation standard value of (2).
By adopting the technical scheme, the atmospheric quality index P is calculated, and then the atmospheric environment of the area can be conveniently detected, so that the accuracy of the pollution degree data of the insulator is improved.
Preferably, the weather modification factor K is calculated by the following formula:
where k is a region coefficient, b is an annual average air pressure of the corresponding region, h is an annual average humidity value of the corresponding region, r is an annual average rainfall of the corresponding region, and s is an annual average wind speed value of the corresponding region.
By adopting the technical scheme, the numerical calculation of the equivalent salt density ESDD and the equivalent ash density NSDD is realized by calculating the numerical values of the atmospheric quality index P and the weather influence coefficient K, so that the accuracy of the insulator pollution degree data is improved.
In a third aspect, the present application provides a pollution sensor, which adopts the following technical scheme:
a pollution sensor comprising a memory and a processor, said memory having stored thereon a computer program that can be loaded by the processor and that performs the above method.
Preferably, the pollution sensor further comprises: SO (SO) 2 Sensor, TSP sensor and NO 2 Sensor, said SO 2 Sensor, TSP sensor and NO 2 The sensors are respectively connected with the processor.
By adopting the technical scheme, SO 2 Sensor, TSP sensor and NO 2 The sensor can realize automatic data measurement and calculation, thereby providing a foundation for on-line monitoring of the pollution of the insulator of the power transmission line.
In a fourth aspect, the present application provides an on-line monitoring system for insulator pollution, which adopts the following technical scheme:
an insulator pollution on-line monitoring system comprises the pollution sensor and further comprises: the device comprises a main control processing unit, a power supply unit, a communication unit and a background system, wherein the main control processing unit is respectively connected with a pollution sensor, the power supply unit and the communication unit, and the communication unit is connected with the background system and uniformly transmits the pollution data of the insulator of the power transmission line obtained by real-time calculation to the background system to realize on-line monitoring of the pollution data of the insulator.
By adopting the technical scheme, the background system can acquire the pollution degree data of the electric transmission line insulator in each area in real time, monitor the pollution degree data of the insulator on line, obtain a distribution diagram according to the acquired pollution degree data of the electric transmission line insulator, master the pollution accumulation condition and rule of the whole electric transmission line, reduce the influence of partial abnormal data on the whole data, and further improve the consistency of the data.
In a fifth aspect, the present application provides a computer readable storage medium, which adopts the following technical scheme:
a computer readable storage medium storing a computer program capable of being loaded by a processor and executing the above method.
In summary, the present application includes at least one of the following beneficial technical effects:
1. according to the atmospheric pollution data and environmental meteorological factors, the pollution degree data of the insulator of the power transmission line are obtained, so that the accuracy of the pollution degree data of the insulator is improved; when the pollution degree data of the insulator are acquired, the power transmission line is not required to be powered off and still keeps the electrified running state, so that the continuous pollution degree data of the insulator of the power transmission line can be acquired;
2. the big data fitting regression algorithm is adopted to detect the regional atmospheric environment in real time, and the values of the equivalent salt density ESDD and the equivalent ash density NSDD are calculated, so that the accuracy of measuring the pollution data of the insulator of the power transmission line is improved, and meanwhile, the classification and the dynamic adjustment of the pollution grade of the insulator can be realized according to the measured data; according to a large number of data statistics, the scheme of the method is adopted to calculate the equivalent salt density ESDD and the equivalent ash density NSDD, the accuracy can reach +/-10%, and the accuracy is very high.
Drawings
FIG. 1 is a method flow diagram of one embodiment of the present application.
Fig. 2 is a block schematic diagram of an insulator contamination detection system of one embodiment of the present application.
FIG. 3 is a block schematic diagram of the structure of a pollution sensor according to an embodiment of the present application.
Fig. 4 is a block schematic diagram of an insulator contamination on-line monitoring system according to one embodiment of the present application.
Reference numerals illustrate:
1. an atmospheric pollution data acquisition module; 2. and a data processing module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to fig. 1 to 4 and the embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The embodiment of the application discloses a method for detecting pollution of an insulator of a power transmission line.
Referring to fig. 1, the detection method includes the steps of:
s1, acquiring atmospheric pollution data;
specifically, according to NO in the atmosphere 2 (Nitrogen dioxide, SO) 2 The concentration of (sulfur dioxide) and TSP (total suspended particulate matter) acquires atmospheric pollution data.
S2, according to the atmospheric pollution data and in combination with environmental meteorological factors, obtaining pollution degree data of an insulator of the power transmission line: equivalent salt density ESDD and equivalent ash density NSDD.
In step S2, the values for the equivalent salt density ESDD and the equivalent ash density NSDD can be calculated by the following formula:
ESDD＝0.071×P×K-0.007，
NSDD＝0.211×P×K-0.021，
wherein P is an atmospheric quality index, and K is a weather influence coefficient; the formula can determine the relationship among the atmospheric quality index P, the meteorological influence coefficient K, the equivalent salt density ESDD and the equivalent ash density NSDD.
In the calculation of the equivalent salt density ESDD and the equivalent ash density NSDD,is SO 2 Is the measured concentration of the pollutant, U TSP For the measured concentration of contaminants of TSP, < >>Is NO 2 Is a measured concentration of contaminants; />Is SO 2 The pollution evaluation standard value can be the average value of corresponding years and days, B TSP As the TSP pollution evaluation standard value, the average value of corresponding years and days can be taken, and the +.>Is NO 2 The pollution evaluation standard value can be an average value of corresponding years;
in the present embodiment, the atmospheric quality index P can be obtained by calculation of the following formula:
wherein the formula can determine SO 2 、TSP、NO 2 And the atmospheric quality index P.
In other embodiments, the atmospheric quality index P may also be obtained using official data of the weather bureau.
In the present embodiment, in the calculation of the equivalent salt density ESDD and the equivalent ash density NSDD, the weather influence coefficient K may be obtained by calculation of the following formula:
wherein k is the regional coefficient of the city where the detection area is located and can be obtained through an urban pollution area map; for example, the regional coefficient of Beijing city is 1.3, the regional coefficient of Shanghai city is 1.1, and the regional coefficient of Shenzhen city is 1.4; b is the annual average air pressure of the detection place, h is the annual average humidity value of the detection place, r is the annual average rainfall of the detection place, and s is the annual average wind speed value of the detection place.
After the values of the atmospheric mass index P and the weather influence coefficient K are obtained through calculation, the obtained values are substituted into the calculation formulas of the equivalent salt density ESDD and the equivalent ash density NSDD, so that the values of the equivalent salt density ESDD and the equivalent ash density NSDD are obtained.
In other embodiments, the weather-influencing factor K may also be determined in other ways, such as by first using the formulaK' is calculated and then is appropriately enlarged to obtain final K (applicable to coastal cities).
The embodiment of the application also discloses a system for detecting the pollution of the insulator of the power transmission line.
Referring to fig. 2, the detection system includes:
the atmospheric pollution data acquisition module 1 is used for acquiring the atmospheric pollution data;
the data processing module 2 is used for obtaining the pollution degree data of the insulator of the power transmission line according to the detection method by combining the atmospheric pollution data with the environmental meteorological factors: equivalent salt density ESDD and equivalent ash density NSDD.
The embodiment of the application also discloses a pollution sensor.
Referring to fig. 3, the filth sensor includes a memory and a processor, the memory stores a computer program that can be loaded and executed by the processor, and the processor can implement the above-mentioned method for detecting filth of an insulator of a power transmission line when executing the computer program.
Referring to fig. 3, the pollution sensor may further include: SO (SO) 2 Sensor, TSP sensor and NO 2 Sensor, SO 2 The sensor can read outThe TSP sensor can read U TSP Numerical value of (2), NO 2 The sensor can read out +.>Is a numerical value of (2).
Referring to fig. 3, in order to improve accuracy of real-time detection data, the pollution sensor further includes a micro weather sensor, which can detect real-time weather data such as values of wind speed, humidity, rainfall and air pressure; real-time adjustment is carried out on the annual average wind speed value, the annual average humidity value, the annual average rainfall and the annual average air pressure of the detected land by utilizing real-time meteorological data detected by the microclimate sensor; SO (SO) 2 Sensor, TSP sensor, NO 2 The sensor and the microclimate sensor are respectively connected with the processor.
When the pollution sensor is adopted to detect the pollution of the insulator of the power transmission line, the measurement range of the equivalent salt density value ESDD is 0-1.0 mg/cm 2 The measurement range of the equivalent ash density NSDD is 0-2.0 mg/cm 2 The accuracy of the equivalent salt density value ESDD and the equivalent ash density NSDD reach +/-10%, and the accuracy is high.
When SO 2 Sensor, TSP sensor, NO 2 When the sensor and the microclimate sensor acquire corresponding data, the power transmission line does not need to be powered off, and the pollution sensor can be electrified on line.
The embodiment of the application also discloses an insulator pollution on-line monitoring system.
Referring to fig. 4, the on-line monitoring system includes:
the main control processing unit is used for carrying out centralized acquisition and comprehensive calculation on the atmospheric pollution data;
the pollution sensor is connected with the main control processing unit, can communicate with the main control processing unit in a wired, wireless or other conventional communication mode and is used for realizing the functions of the atmospheric pollution data acquisition module 1 and the data processing module 2;
the background system is used for realizing on-line monitoring of the pollution data of the insulator;
the communication unit is connected with the output end of the main control processing unit and the input end of the background system and is used for realizing communication between the main control processing unit and the background system and uploading the values of the equivalent salt density ESDD and the equivalent ash density NSDD to the background system, and the communication means comprise 4G, 5G, microwaves or optical fibers;
the power supply unit is connected with the main control processing unit and is used for providing electric energy for the main control processing unit, and the power supply unit can adopt a solar power supply mode; in this embodiment, the power supply unit includes a solar panel, a storage battery and a solar controller, and when the sun is sufficient, the solar controller controls the solar panel to supply power to the main control processing unit and simultaneously charges the storage battery; in sunset or overcast and rainy days, the solar controller controls the storage battery to supply power for the main control processing unit; in specific implementation, the battery capacity of the storage battery can be configured according to different requirements so as to meet different requirements.
After the pollution sensor calculates the values of the equivalent salt density ESDD and the equivalent ash density NSDD, the main control processing unit uploads the values of the equivalent salt density ESDD and the equivalent ash density NSDD to the background system through the communication unit, and then the background system sorts and analyzes all the pollution degree data of the insulators.
Because the high-voltage line has long history and wide distribution, a plurality of pollution sensors can be distributed on a tower of the power transmission line for measuring the pollution degree data of the insulators of the power transmission line in each region, and a set of background systems are shared by a plurality of groups of pollution sensors, so that the background systems can obtain distribution diagrams of the pollution degree data of the insulators in each region, and the pollution condition and the law of the whole power transmission line are guided.
The embodiment of the application also discloses a computer readable storage medium storing a computer program capable of being loaded by a processor and executing the method, the computer readable storage medium comprising: removable hard disk, read-only memory, or random access memory optical disk, among others.
The implementation principle of the insulator pollution on-line monitoring system provided by the embodiment of the application is as follows: SO (SO) 2 Sensor real-time detection of SO 2 Is characterized in that the concentration of TSP is detected in real time by a TSP sensor, and NO 2 Sensor real-time detection of NO 2 The microclimate sensor acquires meteorological data in real time, substitutes the acquired data into a numerical calculation formula of equivalent salt density ESDD and equivalent ash density NSDD, calculates the numerical values of the equivalent salt density ESDD and the equivalent ash density NSDD, and then uploads the numerical values of the equivalent salt density ESDD and the equivalent ash density NSDD to a background system.
The foregoing are all preferred embodiments of the present application, and are not intended to limit the scope of the present application in any way, therefore: all equivalent changes of the method, principle and structure of the present application should be covered in the protection scope of the present application.
Claims (6)
1. The method for detecting the pollution of the insulator of the power transmission line is characterized by comprising the following steps of:
acquiring atmospheric pollution data;
according to the atmospheric pollution data and environmental meteorological factors, obtaining pollution degree data of an insulator of the power transmission line: equivalent salt density ESDD and equivalent ash density NSDD;
according to the atmospheric pollution data and environmental meteorological factors, the pollution degree data of the insulator of the power transmission line are obtained, and the values of the equivalent salt density ESDD and the equivalent ash density NSDD are obtained through calculation according to the following formula:
ESDD＝0.071×P×K-0.007，
NSDD＝0.211×P×K-0.021，
wherein P is an atmospheric quality index, and K is a weather influence coefficient;
the atmospheric quality index P is calculated by the following formula:
wherein,U TPS 、/>respectively SO 2 TPS and NO 2 Is a measured concentration of contaminants; />B TPS 、/>Respectively SO 2 TPS and NO 2 A pollution evaluation standard value of (2);
the weather influence coefficient K is obtained through calculation according to the following formula:
wherein K is a region coefficient, b is the annual average air pressure of the corresponding region, h is the annual average humidity value of the corresponding region, r is the annual average rainfall of the corresponding region, and s is the annual average wind speed value of the corresponding region.
2. The utility model provides a transmission line insulator filth detecting system which characterized in that, the system includes:
the atmospheric pollution data acquisition module (1) is used for acquiring atmospheric pollution data;
the data processing module (2) is used for obtaining the pollution degree data of the insulator of the power transmission line according to the atmospheric pollution data and in combination with environmental meteorological factors: equivalent salt density ESDD and equivalent ash density NSDD;
in the data processing module (2), the values of the equivalent salt density ESDD and the equivalent ash density NSDD are obtained through calculation according to the following formula:
ESDD＝0.071×P×K-0.007，
NSDD＝0.211×P×K-0.021，
wherein P is an atmospheric quality index, and K is a weather influence coefficient;
the atmospheric quality index P is calculated by the following formula:
wherein,U TPS 、/>respectively SO 2 TPS and NO 2 Is a measured concentration of contaminants; />B TPS 、/>Respectively SO 2 TPS and NO 2 A pollution evaluation standard value of (2);
the weather influence coefficient K is obtained through calculation according to the following formula:
wherein K is a region coefficient, b is the annual average air pressure of the corresponding region, h is the annual average humidity value of the corresponding region, r is the annual average rainfall of the corresponding region, and s is the annual average wind speed value of the corresponding region.
3. A pollution sensor comprising a memory and a processor, said memory having stored thereon a computer program capable of being loaded by the processor and executing the method of claim 1.
4. A pollution sensor according to claim 3, and further comprising: SO (SO) 2 Sensor, TPS sensor and NO 2 Sensor, said SO 2 Sensor, TPS sensor and NO 2 The sensors are respectively connected with the processor.
5. An insulator contamination on-line monitoring system comprising the contamination sensor of claim 3 or 4, further comprising: the device comprises a main control processing unit, a power supply unit, a communication unit and a background system, wherein the main control processing unit is respectively connected with a pollution sensor, the power supply unit and the communication unit, and the communication unit is connected with the background system and uniformly transmits the pollution data of the insulator of the power transmission line obtained by real-time calculation to the background system to realize on-line monitoring of the pollution data of the insulator.
6. A computer readable storage medium, characterized in that a computer program is stored which can be loaded by a processor and which performs the method as claimed in claim 1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111074663.4A CN113780828B (en) | 2021-09-14 | 2021-09-14 | Power transmission line insulator pollution detection method, system and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111074663.4A CN113780828B (en) | 2021-09-14 | 2021-09-14 | Power transmission line insulator pollution detection method, system and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113780828A CN113780828A (en) | 2021-12-10 |
| CN113780828B true CN113780828B (en) | 2024-03-19 |
Family
ID=78843602
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111074663.4A Active CN113780828B (en) | 2021-09-14 | 2021-09-14 | Power transmission line insulator pollution detection method, system and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113780828B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103308656A (en) * | 2013-07-01 | 2013-09-18 | 安徽省电力科学研究院 | Method for measuring equivalent salt density and ash density of cluster parachute surface of composite insulator |
| CN104280072A (en) * | 2014-10-21 | 2015-01-14 | 华北电力大学（保定） | Insulator dirt detecting method and device |
| CN105510525A (en) * | 2015-07-23 | 2016-04-20 | 深圳供电局有限公司 | Electric-transmission-line dirt monitoring apparatus and method |
| CN106295207A (en) * | 2016-08-17 | 2017-01-04 | 国网电力科学研究院武汉南瑞有限责任公司 | Insulator dirty degree appraisal procedure based on meteorological data statistics |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7424527B2 (en) * | 2001-10-30 | 2008-09-09 | Sipco, Llc | System and method for transmitting pollution information over an integrated wireless network |
-
2021
- 2021-09-14 CN CN202111074663.4A patent/CN113780828B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103308656A (en) * | 2013-07-01 | 2013-09-18 | 安徽省电力科学研究院 | Method for measuring equivalent salt density and ash density of cluster parachute surface of composite insulator |
| CN104280072A (en) * | 2014-10-21 | 2015-01-14 | 华北电力大学（保定） | Insulator dirt detecting method and device |
| CN105510525A (en) * | 2015-07-23 | 2016-04-20 | 深圳供电局有限公司 | Electric-transmission-line dirt monitoring apparatus and method |
| CN106295207A (en) * | 2016-08-17 | 2017-01-04 | 国网电力科学研究院武汉南瑞有限责任公司 | Insulator dirty degree appraisal procedure based on meteorological data statistics |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113780828A (en) | 2021-12-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Srbinovska et al. | The effect of small green walls on reduction of particulate matter concentration in open areas | |
| CN202013348U (en) | Wireless network-based content measuring system for CO, CO2 and SO2 in air | |
| CN102156180B (en) | System and method for monitoring and forecasting regional visibility | |
| CN114371260A (en) | Gridding monitoring, diffusion early warning and tracing method for non-organized VOCs of industrial enterprise | |
| CN104459489B (en) | A kind of support insulator pollution degree recognition methods | |
| CN109932988B (en) | Urban raise dust pollution diffusion prediction system and method | |
| CN107402171B (en) | Atmosphere dust pollution baseline stripping means based on distributed algorithm | |
| CN101598692A (en) | A kind of external insulation pollution of electric transmission and transformation equipment degree measuring method, system and device | |
| CN108629520B (en) | Method for evaluating running state of high-voltage transmission line in microclimate environment | |
| CN212083634U (en) | Transmission line insulator leakage current monitoring system | |
| CN102542754A (en) | Self-powered multifunctional soil moisture acquisition and transmission integrated equipment | |
| CN111970384A (en) | Forest fire danger level real-time dynamic monitoring system and method | |
| CN116227752B (en) | Park facility management system based on Internet of things | |
| CN112217897A (en) | Wisdom water resource management system based on thing networking platform | |
| CN209545749U (en) | A kind of land, sea and air integration ecological environmental monitoring system | |
| CN110146008B (en) | Method for monitoring icing parameters and states based on interdigital capacitive sensor | |
| CN115796034A (en) | Road dust contribution assessment system and method based on machine learning and numerical mode | |
| CN204903698U (en) | Insulator pollution flashover early warning device based on meteorological phenomena and neural network | |
| CN103591996B (en) | A kind of separate system Storm Sewer Network waterlogging early warning and emergency response facility and method | |
| CN108319181A (en) | A kind of road information monitoring and display system in real time | |
| CN113780828B (en) | Power transmission line insulator pollution detection method, system and storage medium | |
| CN105067029B (en) | A kind of portable dirty source performance data monitoring device | |
| CN204854800U (en) | Hydrology water quality automatic monitoring and early warning system | |
| CN109030745A (en) | A kind of automatic monitoring system based on Internet of Things monitoring urban air-quality | |
| CN202018518U (en) | Multi-parameter online climate monitoring system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |