CN107560798B - A kind of method and system of detection SF6 leakage - Google Patents

A kind of method and system of detection SF6 leakage Download PDF

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Publication number
CN107560798B
CN107560798B CN201710728887.XA CN201710728887A CN107560798B CN 107560798 B CN107560798 B CN 107560798B CN 201710728887 A CN201710728887 A CN 201710728887A CN 107560798 B CN107560798 B CN 107560798B
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sensor
concentration
leakage
preset time
alarm
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CN107560798A (en
Inventor
李雪
林明星
林智炳
林潮龙
施明晃
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FUJIAN CECC ELECTRIC POWER TECHNOLOGY Co Ltd
Putian Power Supply Co of State Grid Fujian Electric Power Co Ltd
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FUJIAN CECC ELECTRIC POWER TECHNOLOGY Co Ltd
Putian Power Supply Co of State Grid Fujian Electric Power Co Ltd
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Priority to CN201910264915.6A priority Critical patent/CN109974936B/en
Priority to CN201910264960.1A priority patent/CN109974938B/en
Priority to CN201910264973.9A priority patent/CN109974939B/en
Priority to CN201910264921.1A priority patent/CN109974937B/en
Priority to CN201710728887.XA priority patent/CN107560798B/en
Priority to CN201910264975.8A priority patent/CN109974940B/en
Publication of CN107560798A publication Critical patent/CN107560798A/en
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M3/00—Investigating fluid-tightness of structures
    • G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
    • G01M3/04—Investigating fluid-tightness of structures by using fluid or vacuum by detecting the presence of fluid at the leakage point
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M3/00—Investigating fluid-tightness of structures
    • G01M3/02—Investigating fluid-tightness of structures by using fluid or vacuum
    • G01M3/26—Investigating fluid-tightness of structures by using fluid or vacuum by measuring rate of loss or gain of fluid, e.g. by pressure-responsive devices, by flow detectors
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06—Management of faults, events, alarms or notifications
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00—Arrangements for monitoring or testing data switching networks
    • H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

The present invention provides a kind of method and system of detection SF6 leakage, when carrying out SF6 leak detection, in addition to analyzing O2Concentration, SF6 concentration, also analysis atmospheric pressure, and pass through intelligent algorithm, consider that sensor generates all situations of alarm comprehensively: SF6 leakage, sensing data packet loss, sensor ageing failure and live hostdown occur for sensor communication failure, improve the accuracy of SF6 leak detection.

Description

A kind of method and system of detection SF6 leakage
Technical field
The present invention relates to field of gas detection more particularly to a kind of method and system of detection SF6 leakage.
Background technique
The safe operation of electric system is significant, is related to the development of national economy and the stabilization of people's lives, people Requirement to power system power supply reliability is also higher and higher.Since SF6 gas has excellent insulation and arc extinction performance, in phase With under the conditions of, insulating capacity is 2.5 times or more of air, and arc extinguishing ability is 100 times of air, so 110kv's or more It is widely used in transmission & distribution electric switching system.Although SF6 gas is nontoxic, its specific gravity is about 5 times of air, when generation SF6 gas When leakage accident, accumulation is not easy to spread in switch gear room, be easy to cause operator's anoxic, asphyxia, or even cause casualties Accident；And SF6 gas can decomposite nearly ten kinds of toxic gases during inside switch cabinet arc extinguishing, and have corrosivity, It will have a direct impact on the safe operation of switch.
And the signal in existing SF6 gas monitoring system between sensor and monitoring host computer is transmitted as wire transmission, Complicated wall cabling, underground sunken cord etc. caused for installation, maintenance, replacement etc. that Utilities Electric Co. patrol officer carries out equipment it is tired Difficulty, and SF6 and O2Sensor service life itself is only 2 years, is on the one hand to be easy to cause frequent replacement, for maintenance construction band It is inconvenient to come, and is on the other hand easy to break down in operation, leads to false alarm, and this information transports inspection personnel without comprehensive In the case where detection, it is difficult to determine to be that gas leakage warning or sensor fault, sensor upload data packetloss really occurs Or false alarm caused by live hostdown.
Summary of the invention
The technical problems to be solved by the present invention are: a kind of method and system of detection SF6 leakage, improves SF6 leakage inspection The accuracy of survey.
In order to solve the above-mentioned technical problem, a kind of technical solution that the present invention uses are as follows:
A method of detection SF6 leakage, comprising steps of
S1, the sensor information that live host uploads is received, the sensor includes O2Sensor, SF6 sensor are gentle Pressure sensor, the sensor information include O2Concentration, SF6 concentration, atmospheric pressure and alarm status；
S2, warning information is judged whether there is according to the alarm status, if so, S3 is thened follow the steps, otherwise, according to The sensor information more new database；
S3, determine that the corresponding sensor of the warning information whether there is communication failure, if not, S4 is thened follow the steps, Otherwise, there are communication failures for prompt sensor；
S4, judge whether it is SF6 sensor alarms, if so, thening follow the steps S5, otherwise, execute step S6；
S5, the SF6 sensor is judged with the presence or absence of data packetloss or ageing failure, if it is not, then according to O2Concentration becomes Change, the variation of SF6 concentration and atmospheric pressure variation determine whether there is SF6 leakage, and otherwise, prompting SF6 sensor, there are data Packet loss or ageing failure；
S6, judge whether it is O2Otherwise sensor alarms, prompt live hostdown if so, thening follow the steps S7；
S7, judge the O2Sensor whether there is data packetloss or ageing failure, if not, S8 is thened follow the steps, it is no Then prompt O2There are data packetloss or ageing failures for sensor；
S8, according to O2Concentration judgement is O2Sensor ageing failure or O2Environment ventilation effect where sensor is poor, goes forward side by side The corresponding prompt of row.
In order to solve the above technical problems, the another technical solution that the present invention uses are as follows:
A kind of system using the method detection SF6 leakage, including sensor acquisition unit, live host and cloud platform Monitoring client, the scene host are connect with sensor acquisition unit and cloud platform monitoring client respectively, the sensor acquisition unit It is integrated with O2Sensor and SF6 sensor,
The system also includes mobile terminals and the end PC；
The mobile terminal and the end PC are connect with the cloud platform monitoring client respectively；
The mobile terminal and the cloud platform monitoring client are wirelessly connected；
The sensor acquisition unit and the live host are wirelessly connected；
The sensor acquisition unit is also integrated with baroceptor.
The beneficial effects of the present invention are: when carrying out SF6 leak detection, in addition to analyzing O2Concentration, SF6 concentration, also divides Atmospheric pressure is analysed, and by intelligent algorithm, considers that sensor generates all situations of alarm, improves SF6 leak detection comprehensively Accuracy.
Detailed description of the invention
Fig. 1 is the method flow diagram of the detection SF6 leakage of the embodiment of the present invention；
Fig. 2 is the system block diagram of the detection SF6 leakage of the embodiment of the present invention；
Label declaration:
1, the system of detection SF6 leakage；2, live host；3, sensor acquisition unit；4, cloud platform monitoring client；5, mobile Terminal；6, the end PC.
Specific embodiment
To explain the technical content, the achieved purpose and the effect of the present invention in detail, below in conjunction with embodiment and cooperate attached Figure is explained.
The most critical design of the present invention is: when carrying out SF6 leak detection, in addition to analyzing O2Concentration, SF6 concentration, also Atmospheric pressure is analyzed, all situations of alarm are generated by the comprehensive analyte sensors of intelligent algorithm: sensor communication failure occurs SF6 leakage, sensing data packet loss, sensor ageing failure and live hostdown, improve the accurate of SF6 leak detection Property.
Fig. 1 is please referred to, a method of detection SF6 leakage, comprising steps of
S1, the sensor information that live host uploads is received, the sensor includes O2Sensor, SF6 sensor are gentle Pressure sensor, the sensor information include O2Concentration, SF6 concentration, atmospheric pressure and alarm status；
S2, warning information is judged whether there is according to the alarm status, if so, S3 is thened follow the steps, otherwise, according to The sensor information more new database；
S3, determine that the corresponding sensor of the warning information whether there is communication failure, if not, S4 is thened follow the steps, Otherwise, there are communication failures for prompt sensor；
S4, judge whether it is SF6 sensor alarms, if so, thening follow the steps S5, otherwise, execute step S6；
S5, the SF6 sensor is judged with the presence or absence of data packetloss or ageing failure, if it is not, then according to O2Concentration becomes Change, the variation of SF6 concentration and atmospheric pressure variation determine whether there is SF6 leakage, and otherwise, prompting SF6 sensor, there are data Packet loss or ageing failure；
S6, judge whether it is O2Otherwise sensor alarms, prompt live hostdown if so, thening follow the steps S7；
S7, judge the O2Sensor whether there is data packetloss or ageing failure, if not, S8 is thened follow the steps, it is no Then prompt O2There are data packetloss or ageing failures for sensor；
S8, according to O2Concentration judgement is O2Sensor ageing failure or O2Environment ventilation effect where sensor is poor, goes forward side by side The corresponding prompt of row.
As can be seen from the above description, the beneficial effects of the present invention are: when carrying out SF6 leak detection, in addition to analyzing O2It is dense Degree, SF6 concentration, also analysis atmospheric pressure, and by intelligent algorithm, consider that sensor generates all situations of alarm, mentions comprehensively The high accuracy of SF6 leak detection.
Further, the sensor information that live host uploads in the step S1 is received from sensor, and the scene is main It is communicated between machine and sensor using wireless mode.
Seen from the above description, it is communicated, is not needed away using wireless mode between live host and sensor Line, underground such as are sunken cord at the operation, and installation, maintenance, replacement are convenient.
Further, determine that the corresponding sensor of the warning information is specific with the presence or absence of communication failure in the step S3 Include:
The instruction of feedback current operating conditions is sent to corresponding sensor；
If receiving the effective Feedback letter for the reaction current operating conditions that the sensor is sent in preset time RT1 Breath, it is determined that communication failure is not present in the sensor, and otherwise, there are communication failures.
Seen from the above description, whether the sensor is judged by allowing the instruction of sensor feedback current operating conditions There are communication failures, easy to operate, and judgement is quick.
Further, in the step S5 and step S7 judges corresponding sensor with the presence or absence of data packetloss or aging Failure specifically includes:
The timing since at the time of sensor alarms occur records duration t1；
Judge whether the duration t1 is greater than a preset time RT2, if it is, judging that corresponding sensor exists Otherwise data packetloss or ageing failure are not present.
Further, in the step S5 and step S7 further include:
If t1 > RT2, send and instruct to live host, orders it to send persistence command respective sensor and upload reaction The order of the effective Feedback information of current operating conditions；
If being not received by invalid feedback information in preset time RT3, it is old to judge that respective sensor has failure Change, the alarm is invalid alarm, and otherwise, judging respective sensor, there are data packetloss.
Further, in the step S5 and step S7 further include:
If it is determined that the alarm of respective sensor is invalid alarm, then from the history number of database lookup respective sensor According to judging whether to occur in nearest preset time period RT4 the invalid alarm greater than a preset times N, if it is, prompt phase Otherwise the invalid aging of inductive sensing device updates the invalid alarm number of respective sensor in the database, and it is invalid to record generation The time of alarm；
If it is determined that there are data packetloss for respective sensor, recording respective sensor in the database, there are data to lose Packet and the time for generating data packetloss, and going through for the two same type sensors neighbouring with respective sensor is searched from database History data check at least one of described two same type sensors in a nearest preset time period according to the historical data Whether there is data packetloss in RT5, if it is, there are data packetloss and its ambient sensors to exist for prompt respective sensor Potential faults, otherwise, prompting respective sensor, there are data packetloss.
Seen from the above description, by the way that reasonable condition is arranged, it can accurately judge that the sensor alarms are directed to Be sensor the case where there are data packetloss or ageing failures.
Further, according to O in the step S52Concentration variation, the variation of SF6 concentration and atmospheric pressure variation determination are It is no that there are SF6 leakages to specifically include:
Judge O2Whether concentration is less than a preset concentration C1；
If it is, obtaining O2The same day change curve of concentration and the same day change curve of SF6 concentration, according to institute Curve graph is stated, O is calculated2Content q1 and SF6 content q2；
If not, judging O2Whether concentration is greater than a preset concentration C2, if it is, obtaining O2Before concentration alerts the moment O in preset time period RT62The change curve of concentration and the change curve of SF6 concentration, according to the curve graph, meter Calculate O2Otherwise content q1 and SF6 content q2 obtains O2Variation in concentration and the nearest preset time period RT6 of SF6 concentration is bent Line chart calculates O according to the curve graph2Content q1 and SF6 content q2；
Calculate SF6 content q2 and O2The ratio S=q2/q1 of content q1；
Draw the atmospheric pressure change curve in the front and back preset time period RT7 for generating the SF6 alarm moment；
If there are pressure fluctuations for the atmospheric pressure change curve, and S is greater than a preset percentage, then judges SF6 leakage.
Seen from the above description, under actual application environment, gas-filling cabinet internal pressure is larger, once gas leakage, lets out generating gas The moment of leakage will appear gas-filling cabinet outer vicinity and the phenomenon that air pressure increase occurs, this is based on, by comprehensively considering O2Concentration variation, The variation of SF6 concentration and atmospheric pressure variation determine whether there is SF6 leakage, improve the accuracy for judging SF6 leakage.
Further, the step S8 is specifically included:
Judge O2Whether concentration is less than a preset concentration C1, if it is not, then judging O2Sensor ageing failure prompts O2It passes Otherwise sensor ageing failure judges O2Environment ventilation effect where sensor is poor, prompts O2Environment ventilation effect where sensor Difference.
Further, O is judged in the step S82Environment ventilation effect where sensor is poor, prompts O2Ring where sensor Border ventilation effect difference specifically includes:
Start O2The blower of environment where sensor, and record the time T1 of fan operation；
If T1 is greater than a preset time RT8, O in nearest preset time RT8 is drawn2The change curve of concentration, and It is stored in associated databases；
Judge O in the preset time RT82Whether concentration is presented ascendant trend, if it is, record is started to from blower O2The time T2 of concentration range back to normal prompts O if T2 is greater than a preset time RT92Environment ventilation where sensor Effect is poor, it is proposed that increases blower quantity；Otherwise, O is prompted2Sensor ageing failure.
Seen from the above description, according to O2Concentration judges O2Sensor whether ageing failure when, further consider O2Concentration The low reason of concentration may be due to O2Environment ventilation effect where sensor is poor, improves according to O2Concentration judges O2Sensor Whether the accuracy of ageing failure.
Referring to figure 2., a kind of system 1 using above method detection SF6 leakage, including the acquisition of live host 2, sensor Unit 3 and cloud platform monitoring client 4, the scene host 2 are connect with sensor acquisition unit 3 and cloud platform monitoring client 4 respectively, institute It states sensor acquisition unit and is integrated with O2Sensor and SF6 sensor,
The system also includes mobile terminals 5 and the end PC 6；
The mobile terminal 5 and the end PC 6 are connect with the cloud platform monitoring client 4 respectively；
The mobile terminal 5 is wirelessly connected with the cloud platform monitoring client 4；
The sensor acquisition unit 3 is wirelessly connected with the live host 2；
The sensor acquisition unit 3 is also integrated with baroceptor.
Embodiment one
Fig. 1 is please referred to, a method of detection SF6 leakage, comprising steps of
S1, the sensor information that live host uploads is received, the sensor includes O2Sensor, SF6 sensor are gentle Pressure sensor, the sensor information include O2Concentration, SF6 concentration, atmospheric pressure and alarm status；
Wherein, the sensor information that live host uploads is received from sensor, is adopted between the scene host and sensor It is wirelessly communicated, the wireless mode uses the NB-IoT technology based on 2G telecommunication network；
The scene host has more, can need to be arranged in different places, the sensor of upload according to the actual situation Information includes the sensor under the number of each live host and the live host of the corresponding number, each sensor acquisition Data and each sensor alarm status；Be previously stored in database each live host number and its corresponding position Sensor and its position of the live host accordingly numbered are set and belong to, it in this way can according to the sensor for issuing alarm status Its corresponding live host and its position is found in the database；The sensor further includes temperature sensor；
S2, warning information is judged whether there is according to the alarm status, if so, S3 is thened follow the steps, otherwise, according to The sensor information more new database；
The data received are subjected to classification processing, corresponding database is arrived in storage, and the database includes SF6 data Library, O2Database, barometric information library, temperature data library and alarm database of record；It data type can deposit based on the received It stores up corresponding database and carries out database data update, and Data Analysis Services are carried out to the data of upload, draw day curve Figure, moon curve graph and year curve graph, and the operating status of display is updated accordingly；
S3, determine that the corresponding sensor of the warning information whether there is communication failure, if not, S4 is thened follow the steps, Otherwise, there are communication failures for prompt sensor；
Wherein it is determined that the corresponding sensor of the warning information is specifically included with the presence or absence of communication failure:
The instruction of feedback current operating conditions is sent to corresponding sensor；
If receiving the effective Feedback letter for the reaction current operating conditions that the sensor is sent in preset time RT1 Breath, it is determined that communication failure is not present in the sensor, and otherwise, there are communication failures.
S4, judge whether it is SF6 sensor alarms, if so, thening follow the steps S5, otherwise, execute step S6；
S5, the SF6 sensor is judged with the presence or absence of data packetloss or ageing failure, if it is not, then according to O2Concentration becomes Change, the variation of SF6 concentration and atmospheric pressure variation determine whether there is SF6 leakage, and otherwise, prompting SF6 sensor, there are data Packet loss or ageing failure；
Wherein, according to O2Concentration variation, the variation of SF6 concentration and atmospheric pressure variation determine whether there is SF6 leakage tool Body includes:
Judge O2Whether less than a preset concentration C1, the concentration C 1 is preferably 20% to concentration；
If it is, obtaining O2The same day change curve of concentration and the same day change curve of SF6 concentration, according to institute Curve graph is stated, O is calculated2Content q1 and SF6 content q2；
If not, judging O2Whether concentration is greater than a preset concentration C2, and the concentration C 2 is preferably 22%, if it is, Obtain O2Concentration alerts the O in the preceding preset time period RT6 at moment2The change curve of concentration and the change curve of SF6 concentration Figure, the RT6 preferably for 24 hours, according to the curve graph, calculate O2Otherwise content q1 and SF6 content q2 obtains O2Concentration with And the change curve in the nearest preset time period RT6 of SF6 concentration, the RT6 preferably for 24 hours, according to the curve graph, are calculated O2Content q1 and SF6 content q2, wherein calculate O2Content q1 and SF6 content q2 can be by its corresponding change curve Figure is integrated to obtain, that is to say, that the area that the curve surrounds is the content of corresponding gas；
Calculate SF6 content q2 and O2The ratio S=q2/q1 of content q1；
Draw the atmospheric pressure change curve in the front and back preset time period RT7 for generating the SF6 alarm moment, the RT7 Preferably 5min, the time interval of sampled point are 5s；
If there are pressure fluctuations for the atmospheric pressure change curve, and S is greater than a preset percentage, then judges SF6 leakage, the preset percentage is preferably 5%；
S6, judge whether it is O2Otherwise sensor alarms, prompt live hostdown if so, thening follow the steps S7；
S7, judge the O2Sensor whether there is data packetloss or ageing failure, if not, S8 is thened follow the steps, it is no Then prompt O2There are data packetloss or ageing failures for sensor；
Wherein, in the step S5 and step S7 judges corresponding sensor with the presence or absence of data packetloss or ageing failure It specifically includes:
The timing since at the time of sensor alarms occur records duration t1；
Judge whether the duration t1 is greater than a preset time RT2, the RT2 is preferably 20s, if it is, sentencing Breaking, there are data packetloss or ageing failures for corresponding sensor, otherwise, are not present；
If t1 > RT2, send and instruct to live host, orders it to send persistence command respective sensor and upload reaction The order of the effective Feedback information of current operating conditions；
If being not received by invalid feedback information in preset time RT3, the RT3 is preferably 1h, then judgement is corresponding There is failure aging in sensor, the alarm is invalid alarm, and otherwise, judging respective sensor, there are data packetloss；
If it is determined that the alarm of respective sensor is invalid alarm, then from the history number of database lookup respective sensor According to judging whether to occur in nearest preset time period RT4 the invalid alarm greater than a preset times N, the RT4 is preferably 1 A month, the N was preferably 2 times, if it is, otherwise the prompt invalid aging of respective sensor updates corresponding in the database The invalid alarm number of sensor, and record the time for generating and alerting in vain；
If it is determined that there are data packetloss for respective sensor, recording respective sensor in the database, there are data to lose Packet and the time for generating data packetloss, and going through for the two same type sensors neighbouring with respective sensor is searched from database History data check at least one of described two same type sensors in a nearest preset time period according to the historical data Whether data packetloss is occurred in RT5, and the RT5 is preferably 1 month, if it is, there are data packetloss for prompt respective sensor And there are potential faults for its ambient sensors, otherwise, prompting respective sensor, there are data packetloss；
S8, according to O2Concentration judgement is O2Sensor ageing failure or O2Environment ventilation effect where sensor is poor, goes forward side by side The corresponding prompt of row；
Judge O2Whether concentration is less than a preset concentration C1, if it is not, then judging O2Sensor ageing failure prompts O2It passes Otherwise sensor ageing failure judges O2Environment ventilation effect where sensor is poor, prompts O2Environment ventilation effect where sensor Difference；
Wherein, judge O2Environment ventilation effect where sensor is poor, prompts O2Environment ventilation effect difference is specific where sensor Include:
Start O2The blower of environment where sensor, and record the time T1 of fan operation；
If T1 is greater than a preset time RT8, O in nearest preset time RT8 is drawn2The change curve of concentration, and It is stored in associated databases, the RT8 is preferably 7h；
Judge O in the preset time RT82Whether concentration is presented ascendant trend, if it is, record is started to from blower O2The time T2 of concentration range back to normal prompts O if T2 is greater than a preset time RT92Environment ventilation where sensor Effect is poor, it is proposed that increases blower quantity；Otherwise, O is prompted2Sensor ageing failure, the RT9 are preferably 2h.
Embodiment two
Referring to figure 2., a kind of system 1 using above method detection SF6 leakage, including the acquisition of live host 2, sensor Unit 3 and cloud platform monitoring client 4, the scene host 2 are connect with sensor acquisition unit 3 and cloud platform monitoring client 4 respectively, institute It states sensor acquisition unit and is integrated with O2Sensor and SF6 sensor,
The system 1 further includes mobile terminal 5 and the end PC 6；
The mobile terminal 5 and the end PC 6 are connect with the cloud platform monitoring client 4 respectively；
The mobile terminal 5 is wirelessly connected with the cloud platform monitoring client 4,
Wherein, mobile terminal 5 uses ZigBee technology, using the mobile 2G network of NB-IoT, realizes main with the scene The short-range communication of machine 2 can realize the investigation and releasing of field failure by installing APP on mobile terminals, then send Data input is carried out to cloud platform monitoring client, timely update system running state；
The sensor acquisition unit 3 is wirelessly connected with the live host 2；
The radio connection uses the NB-IoT technology based on 2G telecommunication network；
The sensor acquisition unit 3 is also integrated with baroceptor；
The sensor carries out duplicate supply using lithium battery and coil-induced charge mode；
The sensor acquisition unit 3 is also integrated with temperature sensor.
In conclusion the method and system of detection SF6 leakage provided by the invention, when carrying out SF6 leak detection, in addition to Analyze O2Concentration, SF6 concentration, also analysis atmospheric pressure, and by intelligent algorithm, consider that sensor generates all of alarm comprehensively Situation: SF6 leakage, sensing data packet loss, sensor ageing failure and live host event occur for sensor communication failure Barrier, improves the accuracy of SF6 leak detection.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair Equivalents made by bright specification and accompanying drawing content are applied directly or indirectly in relevant technical field, similarly include In scope of patent protection of the invention.

Claims (7)

1. a kind of method of detection SF6 leakage, which is characterized in that comprising steps of
S1, the sensor information that live host uploads is received, the sensor includes O2Sensor, SF6 sensor and air pressure sensing Device, the sensor information include O2Concentration, SF6 concentration, atmospheric pressure and alarm status；
S2, warning information is judged whether there is according to the alarm status, if so, S3 is thened follow the steps, otherwise, according to described Sensor information more new database；
S3, determine that the corresponding sensor of the warning information whether there is communication failure, if not, S4 is thened follow the steps, otherwise, Prompting sensor, there are communication failures；
S4, judge whether it is SF6 sensor alarms, if so, thening follow the steps S5, otherwise, execute step S6；
S5, the SF6 sensor is judged with the presence or absence of data packetloss or ageing failure, if it is not, then according to O2Concentration variation, SF6 Concentration variation and atmospheric pressure variation determine whether there is SF6 leakage, otherwise, prompt SF6 sensor there are data packetloss or Ageing failure；
S6, judge whether it is O2Otherwise sensor alarms, prompt live hostdown if so, thening follow the steps S7；
S7, judge the O2Otherwise sensor is prompted with the presence or absence of data packetloss or ageing failure if not, thening follow the steps S8 O2There are data packetloss or ageing failures for sensor；
S8, according to O2Concentration judgement is O2Sensor ageing failure or O2Environment ventilation effect where sensor is poor, and carries out phase The prompt answered；
Wherein, in the step S5 and step S7 judge corresponding sensor with the presence or absence of data packetloss or ageing failure it is specific Include:
The timing since at the time of sensor alarms occur records duration t1；
Judge whether the duration t1 is greater than a preset time RT2, there are data if it is, judging corresponding sensor Otherwise packet loss or ageing failure are not present；
Wherein, in the step S5 and step S7 further include:
If t1 > RT2, send and instruct to live host, orders it to send persistence command respective sensor and upload and react current The order of the effective Feedback information of operating status；
If being not received by invalid feedback information in preset time RT3, judge that respective sensor has failure aging, institute Alarm is stated as invalid alarm, otherwise, judging respective sensor, there are data packetloss；
Wherein, in the step S5 and step S7 further include:
If it is determined that the alarm of respective sensor is invalid alarm, then from the historical data of database lookup respective sensor, sentence Break the invalid alarm whether occurred in nearest preset time period RT4 greater than a preset times N, is passed if it is, prompt is corresponding Otherwise the invalid aging of sensor updates the invalid alarm number of respective sensor in the database, and record the invalid alarm of generation Time；
If it is determined that respective sensor there are data packetloss, record in the database respective sensor there are data packetloss and The time of data packetloss is generated, and searches the history number with two neighbouring same type sensors of respective sensor from database According to checking at least one of described two same type sensors in nearest preset time period RT5 according to the historical data Inside whether there is data packetloss, if it is, there are data packetloss and its ambient sensors there is event for prompt respective sensor Hinder hidden danger, otherwise, prompting respective sensor, there are data packetloss.
2. the method for detection SF6 leakage according to claim 1, which is characterized in that
The sensor information that live host uploads in the step S1 is received from sensor, between the scene host and sensor It is communicated using wireless mode.
3. the method for detection SF6 leakage according to claim 1, which is characterized in that
Determine that the corresponding sensor of the warning information is specifically included with the presence or absence of communication failure in the step S3:
The instruction of feedback current operating conditions is sent to corresponding sensor；
If receiving the effective Feedback information for the reaction current operating conditions that the sensor is sent in preset time RT1, Then determining the sensor, there is no communication failures, and otherwise, there are communication failures.
4. the method for detection SF6 leakage according to claim 1, which is characterized in that
According to O in the step S52Concentration variation, the variation of SF6 concentration and atmospheric pressure variation determine whether there is SF6 leakage It specifically includes:
Judge O2Whether concentration is less than a preset concentration C1；
If it is, obtaining O2The same day change curve of concentration and the same day change curve of SF6 concentration, according to the song Line chart calculates O2Content q1 and SF6 content q2；
If not, judging O2Whether concentration is greater than a preset concentration C2, if it is, obtaining O2Concentration alerts the preceding default of moment O in period RT62The change curve of concentration and the change curve of SF6 concentration calculate O according to the curve graph2Contain Q1 and SF6 content q2 is measured, otherwise, obtains O2Change curve in concentration and the nearest preset time period RT6 of SF6 concentration, According to the curve graph, O is calculated2Content q1 and SF6 content q2；
Calculate SF6 content q2 and O2The ratio S=q2/q1 of content q1；
Draw the atmospheric pressure change curve in the front and back preset time period RT7 for generating the SF6 alarm moment；
If there are pressure fluctuations for the atmospheric pressure change curve, and S is greater than a preset percentage, then judges that SF6 is let out Leakage.
5. the method for detection SF6 leakage according to claim 1, which is characterized in that
The step S8 is specifically included:
Judge O2Whether concentration is less than a preset concentration C1, if it is not, then judging O2Sensor ageing failure prompts O2Sensor Otherwise ageing failure judges O2Environment ventilation effect where sensor is poor, prompts O2Environment ventilation effect where sensor is poor.
6. the method for detection SF6 leakage according to claim 5, which is characterized in that
O is judged in the step S82Environment ventilation effect where sensor is poor, prompts O2Environment ventilation effect where sensor is poor It specifically includes:
Start O2The blower of environment where sensor, and record the time T1 of fan operation；
If T1 is greater than a preset time RT8, O in nearest preset time RT8 is drawn2The change curve of concentration, and be stored in In associated databases；
Judge O in the preset time RT82Whether concentration is presented ascendant trend, if it is, record starts to O from blower2It is dense The time T2 of range back to normal is spent, if T2 is greater than a preset time RT9, prompts O2Environment ventilation effect where sensor Difference, it is proposed that increase blower quantity；Otherwise, O is prompted2Sensor ageing failure.
7. a kind of system using the detection SF6 leakage of any one of claims 1 to 6 the method, including sensor acquisition are single Member, live host and cloud platform monitoring client, the scene host are connect with sensor acquisition unit and cloud platform monitoring client respectively, The sensor acquisition unit is integrated with O2Sensor and SF6 sensor, have it is characterized in that,
The system also includes mobile terminals and the end PC；
The mobile terminal and the end PC are connect with the cloud platform monitoring client respectively；
The mobile terminal and the cloud platform monitoring client are wirelessly connected；
The sensor acquisition unit and the live host are wirelessly connected；
The sensor acquisition unit is also integrated with baroceptor.
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Families Citing this family (3)

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Publication number Priority date Publication date Assignee Title
CN109541145A (en) * 2018-11-30 2019-03-29 安徽芯核防务装备技术股份有限公司 A kind of harmful gas concentration detection method and device
CN110533309B (en) * 2019-08-16 2023-03-24 江苏生久环境科技有限公司 Garbage transfer station cloud platform management method and storage medium
CN115032328B (en) * 2021-03-04 2023-09-08 宇通客车股份有限公司 False alarm prevention control system and control method for gas leakage detection in vehicle

Family Cites Families (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DD115533A1 (en) * 1974-10-01 1975-10-05
JPH0682406A (en) * 1992-09-04 1994-03-22 Toshiba Corp Monitoring apparatus of gas-insulated transforming apparatus
JPH10293080A (en) * 1997-04-18 1998-11-04 Mitsubishi Electric Corp Method and device for testing gas leakage
FR2762940B1 (en) * 1997-04-30 1999-06-04 Gec Alsthom T & D Sa METHOD FOR MONITORING LEAKAGE RATE OF A HIGH VOLTAGE ELECTRICAL EQUIPMENT COVER
CN2870023Y (en) * 2004-11-11 2007-02-14 陈虎 SF gas pressured-state on-line monitoring device
JP4495103B2 (en) * 2006-03-27 2010-06-30 三菱電機株式会社 Gas leak detection device and gas leak detection method
CN2898824Y (en) * 2006-06-08 2007-05-09 汪献忠 Quantitative SF gas leakage detector
US7752892B2 (en) * 2006-09-07 2010-07-13 Matheson Tri-Gas Leak characterization apparatuses and methods for fluid storage containers
CN201188050Y (en) * 2008-01-04 2009-01-28 福建师范大学 On-line monitoring device for SF6 gas leakage base on multi-sensor
CN201724789U (en) * 2010-07-12 2011-01-26 常州海立普电力科技有限公司 SF6-O2 laser online leakage monitoring alarm
CN202511949U (en) * 2012-02-24 2012-10-31 保定华电电气有限公司 SF6 gas leakage monitoring and alarming system
CN202599617U (en) * 2012-05-14 2012-12-12 章丘市供电公司 On-line monitoring system of indoor SF6 (sulfur hexafluoride) gas of transformer substation
CN102889968B (en) * 2012-10-12 2015-05-13 河海大学常州校区 Acoustical method for detecting low-concentration sulfur hexafluoride gas
CN103217397A (en) * 2013-01-23 2013-07-24 山西省电力公司晋城供电分公司 SF6 gas detection method based on infrared image processing
CN103149324A (en) * 2013-01-29 2013-06-12 温州电力局 Method and device for high-tension switch cabinet gas detection
CN203337612U (en) * 2013-07-12 2013-12-11 常州顺创电气科技有限公司 SF6 gas leakage alarming and oxygen content monitoring system
CN103645014B (en) * 2013-12-05 2015-12-09 国家电网公司 For the SF of GIS device 6released gas rate detection method
CN104568323B (en) * 2014-06-25 2017-10-31 贵州电力试验研究院 A kind of SF6Gas leaks online monitoring alarm system
CN104535277A (en) * 2014-11-25 2015-04-22 国家电网公司 Pressure monitoring method and system for SF6 gas
CN104913885B (en) * 2015-05-21 2017-08-15 安徽理工大学 A kind of utilization search gas judges that fender leaks out the device and application method of degree
AU2016280302B2 (en) * 2015-06-18 2021-09-02 Pringle Beleski And Associates Limited System and method for gas management
CN205483439U (en) * 2016-01-25 2016-08-17 国网江西省电力科学研究院 Device that monitoring GIS sulfur hexafluoride gas pressure of transformer substation changes and reports to police
CN206095532U (en) * 2016-10-10 2017-04-12 国网北京市电力公司 Gas leakage monitored control system
CN106568901A (en) * 2016-10-28 2017-04-19 中国电力科学研究院 SF6 gas concentration monitoring system and SF6 gas concentration monitoring method
CN206249052U (en) * 2016-11-25 2017-06-13 南京航空航天大学 A kind of electrical laboratory environmental monitoring cloud service warning system based on raspberry group

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