CN109974940B - Method and system for detecting SF6 leakage in power system - Google Patents

Method and system for detecting SF6 leakage in power system Download PDF

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CN109974940B
CN109974940B CN201910264975.8A CN201910264975A CN109974940B CN 109974940 B CN109974940 B CN 109974940B CN 201910264975 A CN201910264975 A CN 201910264975A CN 109974940 B CN109974940 B CN 109974940B
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sensor
concentration
alarm
data packet
packet loss
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CN109974940A (en
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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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    • 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 invention provides a method and a system for detecting SF6 leakage in a power system, which are used for analyzing O in addition to the detection of SF6 leakage2Concentration, SF6 concentration, atmospheric pressure is also analyzed and, through intelligent algorithms, all cases where the sensor generates an alarm are considered comprehensively: sensor communication failure, SF6 leakage, sensor data packet loss, sensor aging failure and field host machine failure, improve SF6 leakage detection accuracy.

Description

Method and system for detecting SF6 leakage in power system
The application is a divisional application of a parent application named as 'a method and a system for detecting SF6 leakage' with the application number of 201710728887.X and the application date of 2017, 8 and 23.
Technical Field
The invention relates to the field of gas detection, in particular to a method and a system for detecting SF6 leakage in a power system.
Background
The safe operation of the power system has great significance, and the requirements of people on the power supply reliability of the power system are higher and higher in relation to the development of national economy and the stability of people's life. The SF6 gas has excellent insulating and arc extinguishing performance, and under the same conditions, the insulating capacity is over 2.5 times that of air, and the arc extinguishing capacity is over 100 times that of air, so the SF6 gas is widely applied to power transmission and distribution switchgear with the voltage of over 110 kv. Although SF6 gas is nontoxic, the specific gravity of the SF6 gas is about 5 times of that of air, and when SF6 gas leakage accidents occur, the SF6 gas is accumulated in a switch chamber and is not easy to diffuse, so that oxygen deficiency and suffocation of operators are easily caused, and even casualty accidents are caused; moreover, nearly ten toxic gases can be decomposed from the SF6 gas in the process of arc extinguishing in the switch cabinet, and the gas is corrosive and can directly influence the safe operation of the switch.
While the signal transmission between the sensor and the monitoring host in the existing SF6 gas monitoring system is wire transmission, complex wall wiring, underground buried wires and the like cause difficulties for installation, maintenance, replacement and the like of equipment for power company inspection personnel, while the service lives of the SF6 and O2 sensors are only two years, on one hand, frequent replacement is easily caused, which brings inconvenience for maintenance and construction, on the other hand, faults occur in operation, which leads to false alarms, and the information transportation and inspection personnel are difficult to judge whether gas leakage alarm or false alarm caused by sensor fault, sensor uploading data packet loss or field host fault is generated under the condition of not carrying out comprehensive detection.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: a method and system for detecting SF6 leakage in a power system improves accuracy of SF6 leakage detection.
In order to solve the technical problems, the invention adopts a technical scheme that:
a method of detecting SF6 leakage in an electrical power system, comprising the steps of:
s1, receiving sensor information uploaded by a field host, wherein the sensor comprises an O2 sensor, an SF6 sensor and a pressure sensor, and the sensor information comprises O2 concentration, SF6 concentration, atmospheric pressure and an alarm state;
s2, judging whether alarm information exists according to the alarm state, if so, executing the step S3, otherwise, updating a database according to the sensor information;
s3, determining whether the sensor corresponding to the alarm information has communication fault, if not, executing step S4, otherwise, prompting the sensor to have communication fault;
s4, judging whether the alarm is an SF6 sensor alarm, if so, executing a step S5, otherwise, executing a step S6;
s5, judging whether the SF6 sensor has data packet loss or aging failure, if not, determining whether SF6 leakage exists according to O2 concentration change, SF6 concentration change and atmospheric pressure change, otherwise, prompting that the SF6 sensor has data packet loss or aging failure;
s6, judging whether the alarm is an O2 sensor alarm, if so, executing a step S7, otherwise, prompting the fault of the on-site host;
s7, judging whether the O2 sensor has data packet loss or aging failure, if not, executing a step S8, otherwise, prompting the O2 sensor to have data packet loss or aging failure;
and S8, judging whether the O2 sensor is aged or fails or the O2 sensor is poor in ventilation effect according to the concentration of O2, and prompting correspondingly.
In order to solve the technical problem, the invention adopts another technical scheme as follows:
the system for detecting SF6 leakage by adopting the method comprises a sensor acquisition unit, a field host and a cloud platform monitoring end, wherein the field host is respectively connected with the sensor acquisition unit and the cloud platform monitoring end, the sensor acquisition unit is integrated with an O2 sensor and an SF6 sensor,
the system also comprises a mobile terminal and a PC terminal;
the mobile terminal and the PC end are respectively connected with the cloud platform monitoring end;
the mobile terminal is in wireless connection with the cloud platform monitoring end;
the sensor acquisition unit is wirelessly connected with the on-site host;
the sensor acquisition unit is also integrated with an air pressure sensor.
The invention has the beneficial effects that: when the SF6 leakage detection is carried out, the atmospheric pressure is analyzed besides the O2 concentration and the SF6 concentration, all conditions of alarm generated by the sensor are comprehensively considered through an intelligent algorithm, and the accuracy of the SF6 leakage detection is improved.
Drawings
Fig. 1 is a flowchart of a method for detecting SF6 leakage in an electrical power system according to an embodiment of the present invention;
FIG. 2 is a block diagram of a system for detecting SF6 leakage in a power system according to an embodiment of the present invention;
description of reference numerals:
1. a system to detect SF6 leaks; 2. a field host; 3. A sensor acquisition unit; 4. A cloud platform monitoring end; 5. a mobile terminal; 6. and a PC terminal.
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
The most key concept of the invention is that when SF6 leakage detection is carried out, the atmospheric pressure is analyzed besides the O2 concentration and the SF6 concentration, and all the conditions of the alarm generated by the sensor are comprehensively analyzed through an intelligent algorithm: sensor communication failure, SF6 leakage, sensor data packet loss, sensor aging failure and field host machine failure, improve SF6 leakage detection accuracy.
Referring to fig. 1, a method for detecting SF6 leakage in an electrical power system includes the steps of:
s1, receiving sensor information uploaded by a field host, wherein the sensor comprises an O2 sensor, an SF6 sensor and a pressure sensor, and the sensor information comprises O2 concentration, SF6 concentration, atmospheric pressure and an alarm state;
s2, judging whether alarm information exists according to the alarm state, if so, executing the step S3, otherwise, updating a database according to the sensor information;
s3, determining whether the sensor corresponding to the alarm information has communication fault, if not, executing step S4, otherwise, prompting the sensor to have communication fault;
s4, judging whether the alarm is an SF6 sensor alarm, if so, executing a step S5, otherwise, executing a step S6;
s5, judging whether the SF6 sensor has data packet loss or aging failure, if not, determining whether SF6 leakage exists according to O2 concentration change, SF6 concentration change and atmospheric pressure change, otherwise, prompting that the SF6 sensor has data packet loss or aging failure;
s6, judging whether the alarm is an O2 sensor alarm, if so, executing a step S7, otherwise, prompting the fault of the on-site host;
s7, judging whether the O2 sensor has data packet loss or aging failure, if not, executing a step S8, otherwise, prompting the O2 sensor to have data packet loss or aging failure;
and S8, judging whether the O2 sensor is aged or fails or the O2 sensor is poor in ventilation effect according to the concentration of O2, and prompting correspondingly.
From the above description, the beneficial effects of the present invention are: when the SF6 leakage detection is carried out, the atmospheric pressure is analyzed besides the O2 concentration and the SF6 concentration, all conditions of alarm generated by the sensor are comprehensively considered through an intelligent algorithm, and the accuracy of the SF6 leakage detection is improved.
Further, in step S1, the sensor information uploaded by the field host is received from the sensor, and the field host and the sensor communicate with each other in a wireless manner.
According to the description, the field host and the sensor are communicated in a wireless mode, operations such as wiring and underground wire burying are not needed, and the installation, maintenance and replacement are convenient.
Further, the step S3 of determining whether a communication fault exists in the sensor corresponding to the alarm information specifically includes:
sending an instruction for feeding back the current running state to the corresponding sensor;
if effective feedback information reflecting the current operation state and sent by the sensor is received within the preset time RT1, the sensor is determined to have no communication fault, otherwise, the sensor has the communication fault.
According to the above description, whether the sensor has a communication fault is judged by feeding back the instruction of the current operation state by the sensor, so that the operation is simple and the judgment is quick.
Further, the step S5 and the step S7 of determining whether the corresponding sensor has data packet loss or aging failure specifically include:
timing from the moment when the sensor alarm occurs, and recording the duration t 1;
and judging whether the duration time t1 is greater than a preset time RT2, if so, judging that the corresponding sensor has data packet loss or aging failure, and if not, judging that the corresponding sensor does not exist.
Further, the steps S5 and S7 further include:
if t1> RT2, sending an instruction to the on-site host computer to command the on-site host computer to send a command for continuously commanding the corresponding sensor to upload effective feedback information reflecting the current running state;
if the invalid feedback information is not received within the preset time RT3, judging that the corresponding sensor has invalid aging, wherein the alarm is invalid alarm, otherwise, judging that the corresponding sensor has data packet loss.
Further, the steps S5 and S7 further include:
if the alarm of the corresponding sensor is judged to be invalid, searching historical data of the corresponding sensor from a database, judging whether invalid alarm with more than a preset number of times N appears in a latest preset time period RT4, if so, prompting invalid aging of the corresponding sensor, otherwise, updating the number of invalid alarm times of the corresponding sensor in the database, and recording the time for generating the invalid alarm;
if the data packet loss of the corresponding sensor is judged, recording the data packet loss of the corresponding sensor and the time of generating the data packet loss in the database, searching historical data of two sensors of the same type adjacent to the corresponding sensor from the database, and checking whether the data packet loss of at least one of the two sensors of the same type occurs in the latest preset time period RT5 according to the historical data, if so, prompting the corresponding sensor of the data packet loss and the surrounding sensors of the data packet loss, otherwise, prompting the corresponding sensor of the data packet loss.
According to the above description, by setting a reasonable condition, it can be accurately determined that the sensor alarm is directed to the situation that the sensor has data packet loss or aging failure.
Further, the step S5 of determining whether there is an SF6 leak according to the O2 concentration variation, the SF6 concentration variation, and the atmospheric pressure variation specifically includes:
judging whether the concentration of O2 is less than a preset concentration C1;
if yes, acquiring a current day change curve chart of O2 concentration and a current day change curve chart of SF6 concentration, and calculating O2 content q1 and SF6 content q2 according to the curves;
if not, judging whether the O2 concentration is greater than a preset concentration C2, if so, obtaining a change curve graph of the O2 concentration and a change curve graph of the SF6 concentration in a preset time period RT6 before the O2 concentration warning moment, calculating O2 content q1 and SF6 content q2 according to the change curve graphs, otherwise, obtaining a change curve graph of the O2 concentration and the SF6 concentration in the latest preset time period RT6, and calculating O2 content q1 and SF6 content q2 according to the change curve graphs;
calculating the ratio S = q2/q1 of the SF6 content q2 and the O2 content q 1;
drawing an atmospheric pressure change curve graph in a preset time period RT7 before and after the SF6 alarm time is generated;
if the atmospheric pressure variation graph has sudden change of the atmospheric pressure and S is more than a preset percentage, SF6 leakage is judged.
From the above description, in an actual application environment, the internal pressure of the air inflation cabinet is high, once air leaks, the phenomenon of air pressure increase near the outside of the air inflation cabinet can occur at the moment of generating air leakage, and based on the phenomenon, whether SF6 leakage exists or not is determined by comprehensively considering O2 concentration change, SF6 concentration change and atmospheric pressure change, so that the accuracy of judging SF6 leakage is improved.
Further, the step S8 specifically includes:
and judging whether the concentration of O2 is less than a preset concentration C1, if not, judging that the O2 sensor is aged and invalid, and prompting that the O2 sensor is aged and invalid, otherwise, judging that the ventilation effect of the environment where the O2 sensor is located is poor, and prompting that the ventilation effect of the environment where the O2 sensor is located is poor.
Further, in the step S8, it is determined that the ventilation effect of the environment where the O2 sensor is located is poor, and it is prompted that the ventilation effect of the environment where the O2 sensor is located is poor, specifically includes:
starting a fan of an environment where an O2 sensor is located, and recording the running time T1 of the fan;
if T1 is greater than a preset time RT8, drawing a change curve graph of the O2 concentration in the latest preset time RT8 and storing the change curve graph in a corresponding database;
judging whether the concentration of O2 in the preset time RT8 shows an ascending trend or not, if so, recording the time T2 from the start of the fan to the return of the concentration of O2 to a normal range, and if T2 is more than a preset time RT9, prompting that the ventilation effect of the environment where the O2 sensor is located is poor, and suggesting to increase the number of fans; otherwise, the O2 sensor is prompted to age out.
From the above description, when judging whether the O2 sensor is aged or failed according to the concentration of O2, the reason that the concentration of O2 is low is further considered to be that the ventilation effect of the environment where the O2 sensor is located is poor, so that the accuracy of judging whether the O2 sensor is aged or failed according to the concentration of O2 is improved.
Referring to fig. 2, a system 1 for detecting SF6 leakage using the above method includes a field host 2, a sensor acquisition unit 3, and a cloud platform monitoring terminal 4, where the field host 2 is connected to the sensor acquisition unit 3 and the cloud platform monitoring terminal 4, the sensor acquisition unit is integrated with an O2 sensor and an SF6 sensor,
the system also comprises a mobile terminal 5 and a PC terminal 6;
the mobile terminal 5 and the PC terminal 6 are respectively connected with the cloud platform monitoring terminal 4;
the mobile terminal 5 is in wireless connection with the cloud platform monitoring terminal 4;
the sensor acquisition unit 3 is wirelessly connected with the field host 2;
the sensor acquisition unit 3 is also integrated with an air pressure sensor.
Example one
Referring to fig. 1, a method for detecting SF6 leakage in an electrical power system includes the steps of:
s1, receiving sensor information uploaded by a field host, wherein the sensor comprises an O2 sensor, an SF6 sensor and a pressure sensor, and the sensor information comprises O2 concentration, SF6 concentration, atmospheric pressure and an alarm state;
the sensor information uploaded by the field host is received from the sensor, the field host and the sensor are communicated in a wireless mode, and the wireless mode adopts an NB-IoT technology based on a 2G telecommunication network;
the system comprises a plurality of field hosts, a plurality of sensors and a monitoring center, wherein the field hosts can be arranged in different places according to actual conditions, the uploaded sensor information comprises the serial numbers of the field hosts, the sensors under the field hosts corresponding to the serial numbers, data acquired by each sensor and the alarm state of each sensor; the database stores the serial numbers and the corresponding positions of the field hosts, and the sensors and the positions of the field hosts belonging to the corresponding serial numbers in advance, so that the corresponding field hosts and the positions thereof can be found from the database according to the sensors giving the alarm state; the sensor further comprises a temperature sensor;
s2, judging whether alarm information exists according to the alarm state, if so, executing the step S3, otherwise, updating a database according to the sensor information;
classifying the received data, and storing the data into corresponding databases, wherein the databases comprise an SF6 database, an O2 database, an air pressure database, a temperature database and an alarm record database; the data can be stored in a corresponding database according to the received data type for updating the database data, the uploaded data is subjected to data analysis processing, a daily curve graph, a monthly curve graph and a yearly curve graph are drawn, and the displayed operation state is correspondingly updated;
s3, determining whether the sensor corresponding to the alarm information has communication fault, if not, executing step S4, otherwise, prompting the sensor to have communication fault;
determining whether a communication fault exists in a sensor corresponding to the alarm information specifically comprises:
sending an instruction for feeding back the current running state to the corresponding sensor;
if effective feedback information reflecting the current operation state and sent by the sensor is received within the preset time RT1, the sensor is determined to have no communication fault, otherwise, the sensor has the communication fault.
S4, judging whether the alarm is an SF6 sensor alarm, if so, executing a step S5, otherwise, executing a step S6;
s5, judging whether the SF6 sensor has data packet loss or aging failure, if not, determining whether SF6 leakage exists according to O2 concentration change, SF6 concentration change and atmospheric pressure change, otherwise, prompting that the SF6 sensor has data packet loss or aging failure;
the step of determining whether an SF6 leakage exists according to the O2 concentration change, the SF6 concentration change and the atmospheric pressure change specifically comprises the following steps:
judging whether the concentration of O2 is less than a preset concentration C1, wherein the concentration C1 is preferably 20%;
if yes, acquiring a current day change curve chart of O2 concentration and a current day change curve chart of SF6 concentration, and calculating O2 content q1 and SF6 content q2 according to the curves;
if not, judging whether the concentration of O2 is greater than a preset concentration C2, wherein the concentration C2 is preferably 22%, if so, obtaining a change curve of the concentration of O2 and a change curve of the concentration of SF6 in a preset time period RT6 before the O2 concentration warning moment, wherein the RT6 is preferably 24h, calculating O2 content q1 and SF6 content q2 according to the curves, otherwise, obtaining a change curve of the concentration of O2 and the concentration of SF6 in a latest preset time period RT6, wherein the RT6 is preferably 24h, calculating O2 content q1 and SF6 content q2 according to the curves, wherein the calculation of O2 content q1 and SF6 content q2 can be obtained by integrating the corresponding change curves, namely, the area surrounded by the curves is the content of the corresponding gas;
calculating the ratio S = q2/q1 of the SF6 content q2 and the O2 content q 1;
drawing an atmospheric pressure change curve graph in a preset time period RT7 before and after the SF6 alarm time, wherein the RT7 is preferably 5min, and the time interval of sampling points is 5 s;
if the atmospheric pressure variation curve graph has sudden change of air pressure and S is greater than a preset percentage, judging that SF6 leaks, wherein the preset percentage is preferably 5%;
s6, judging whether the alarm is an O2 sensor alarm, if so, executing a step S7, otherwise, prompting the fault of the on-site host;
s7, judging whether the O2 sensor has data packet loss or aging failure, if not, executing a step S8, otherwise, prompting the O2 sensor to have data packet loss or aging failure;
wherein the determining whether the corresponding sensor has data packet loss or aging failure in steps S5 and S7 specifically includes:
timing from the moment when the sensor alarm occurs, and recording the duration t 1;
judging whether the duration time t1 is greater than a preset time RT2 or not, wherein the RT2 is preferably 20s, if yes, judging that data packet loss or aging failure exists in the corresponding sensor, and if not, judging that the data packet loss or aging failure does not exist in the corresponding sensor;
if t1> RT2, sending an instruction to the on-site host computer to command the on-site host computer to send a command for continuously commanding the corresponding sensor to upload effective feedback information reflecting the current running state;
if invalid feedback information is not received within the preset time RT3, preferably 1h is received by the RT3, judging that the corresponding sensor has invalid aging, wherein the alarm is an invalid alarm, and otherwise, judging that the corresponding sensor has data packet loss;
if the alarm of the corresponding sensor is judged to be invalid, searching historical data of the corresponding sensor from the database, judging whether invalid alarm with more than a preset number of times N appears in a latest preset time period RT4, wherein the RT4 is preferably 1 month, the N is preferably 2 times, if yes, prompting invalid aging of the corresponding sensor, otherwise, updating the number of times of invalid alarm of the corresponding sensor in the database, and recording the time of generating the invalid alarm;
if the data packet loss of the corresponding sensor is judged, recording the data packet loss of the corresponding sensor and the time for generating the data packet loss in the database, searching historical data of two sensors of the same type adjacent to the corresponding sensor from the database, and checking whether the data packet loss of at least one of the two sensors of the same type occurs in a latest preset time period RT5 according to the historical data, wherein the RT5 is preferably 1 month, if so, prompting that the data packet loss of the corresponding sensor exists and the sensors around the corresponding sensor have fault hidden dangers, otherwise, prompting that the data packet loss of the corresponding sensor exists;
s8, judging whether the O2 sensor is aged or fails or the O2 sensor is poor in ventilation effect according to the concentration of O2, and carrying out corresponding prompt;
judging whether the concentration of O2 is less than a preset concentration C1, if not, judging that the O2 sensor is aged and invalid, and prompting that the O2 sensor is aged and invalid, otherwise, judging that the ventilation effect of the environment where the O2 sensor is located is poor, and prompting that the ventilation effect of the environment where the O2 sensor is located is poor;
wherein, it is poor to judge the environmental ventilation effect at O2 sensor place, and the suggestion O2 sensor place environmental ventilation effect is poor specifically includes:
starting a fan of an environment where an O2 sensor is located, and recording the running time T1 of the fan;
if T1 is greater than a preset time RT8, drawing a change curve graph of the O2 concentration in the latest preset time RT8 and storing the change curve graph in a corresponding database, wherein RT8 is preferably 7 h;
judging whether the concentration of O2 in the preset time RT8 shows an ascending trend or not, if so, recording the time T2 from the start of the fan to the return of the concentration of O2 to a normal range, and if T2 is more than a preset time RT9, prompting that the ventilation effect of the environment where the O2 sensor is located is poor, and suggesting to increase the number of fans; otherwise, the aging failure of the O2 sensor is prompted, and the RT9 is preferably 2 h.
Example two
Referring to fig. 2, a system 1 for detecting SF6 leakage using the above method includes a field host 2, a sensor acquisition unit 3, and a cloud platform monitoring terminal 4, where the field host 2 is connected to the sensor acquisition unit 3 and the cloud platform monitoring terminal 4, the sensor acquisition unit is integrated with an O2 sensor and an SF6 sensor,
the system 1 further comprises a mobile terminal 5 and a PC terminal 6;
the mobile terminal 5 and the PC terminal 6 are respectively connected with the cloud platform monitoring terminal 4;
the mobile terminal 5 is wirelessly connected with the cloud platform monitoring terminal 4,
the mobile terminal 5 adopts a Zigbee technology, utilizes a mobile 2G network of NB-IoT to realize near field communication with the on-site host 2, can realize on-site fault troubleshooting and resolution by installing an APP on the mobile terminal, and then sends the on-site fault troubleshooting and resolution to the cloud platform monitoring end to perform information entry, and updates the system running state in time;
the sensor acquisition unit 3 is wirelessly connected with the field host 2;
the wireless connection mode adopts NB-IoT technology based on a 2G telecommunication network;
the sensor acquisition unit 3 is also integrated with an air pressure sensor;
the sensor adopts a lithium battery and a coil induction charging mode to carry out double power supply;
the sensor acquisition unit 3 is also integrated with a temperature sensor.
In summary, the method and system for detecting SF6 leakage in the power system provided by the invention analyze the atmospheric pressure in addition to the O2 concentration and the SF6 concentration when detecting SF6 leakage, and comprehensively consider all the situations of alarm generated by the sensor through an intelligent algorithm: sensor communication failure, SF6 leakage, sensor data packet loss, sensor aging failure and field host machine failure, improve SF6 leakage detection accuracy.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.

Claims (7)

1. A method of detecting SF6 leakage in an electrical power system, comprising the steps of:
s1, receiving sensor information uploaded by a field host, wherein the sensor comprises O2Sensors, SF6 sensors and barometric pressure sensors;
the field hosts comprise a plurality of field hosts, the sensor information comprises the serial numbers of the field hosts, the sensors under the field hosts corresponding to the serial numbers, the data acquired by each sensor and the alarm state of each sensor, and the data comprises O2Concentration, SF6 concentration or atmospheric pressure;
s2, judging whether alarm information exists according to the alarm state, if so, executing the step S3, otherwise, updating a database according to the sensor information;
s3, determining whether the sensor corresponding to the alarm information has communication fault, if not, executing step S4, otherwise, prompting the sensor to have communication fault;
s4, judging whether the alarm is an SF6 sensor alarm, if so, executing a step S5, otherwise, executing a step S6;
s5, judging whether the SF6 sensor has data packet loss or aging failure, if not, according to O2The concentration change, the SF6 concentration change and the atmospheric pressure change determine whether SF6 leakage exists, otherwise, the SF6 sensor is prompted to have data packet loss or aging failure;
s6, judging whether it is O2The sensor gives an alarm, if yes, step S7 is executed, otherwise, the fault of the on-site host computer is prompted;
s7, judging the oxygen2Whether the sensor has data packet loss or aging failure exists, if not, the step S8 is executed, otherwise, the prompt O is given2Data packet loss or aging failure of the sensor exists;
the steps S5 and S7 of determining whether the corresponding sensor has data packet loss or aging failure specifically include:
timing from the moment when the sensor alarm occurs, and recording the duration t 1;
judging whether the duration time t1 is greater than a preset time RT2, if so, judging that the corresponding sensor has data packet loss or aging failure, otherwise, judging that the corresponding sensor does not exist;
if t1> RT2, sending an instruction to the on-site host computer to command the on-site host computer to send a command for continuously commanding the corresponding sensor to upload effective feedback information reflecting the current running state;
if invalid feedback information is not received within the preset time RT3, judging that the corresponding sensor has invalid aging, wherein the alarm is invalid alarm, otherwise, judging that the corresponding sensor has data packet loss;
if the alarm of the corresponding sensor is judged to be invalid, searching historical data of the corresponding sensor from a database, judging whether invalid alarm with more than a preset number of times N appears in a latest preset time period RT4, if so, prompting invalid aging of the corresponding sensor, otherwise, updating the number of invalid alarm times of the corresponding sensor in the database, and recording the time for generating the invalid alarm;
if the data packet loss of the corresponding sensor is judged, recording the data packet loss of the corresponding sensor and the time for generating the data packet loss in the database, searching historical data of two sensors of the same type adjacent to the corresponding sensor from the database, and checking whether the data packet loss of at least one of the two sensors of the same type occurs in the latest preset time period RT5 according to the historical data, if so, prompting the corresponding sensor of the data packet loss and the surrounding sensors of the data packet loss, otherwise, prompting the corresponding sensor of the data packet loss;
s8, according to O2The concentration is judged to be O2Sensor aging failure or O2The ventilation effect of the environment where the sensor is located is poor, and corresponding prompt is performed.
2. The method of detecting SF6 leakage in a power system of claim 1,
in step S1, the sensor information uploaded by the field host is received from the sensor, and the field host and the sensor communicate with each other in a wireless manner.
3. The method of detecting SF6 leakage in a power system of claim 1,
the step S3 of determining whether a communication fault exists in the sensor corresponding to the alarm information specifically includes:
sending an instruction for feeding back the current running state to the corresponding sensor;
if effective feedback information reflecting the current operation state and sent by the sensor is received within the preset time RT1, the sensor is determined to have no communication fault, otherwise, the sensor has the communication fault.
4. The method of detecting SF6 leakage in a power system of claim 1,
according to O in the step S52The determining whether the SF6 leakage exists or not through concentration change, SF6 concentration change and atmospheric pressure change specifically comprises the following steps:
judgment of O2Whether the concentration is less than a preset concentration C1;
if so, acquiring O2A daily change curve of the concentration and a daily change curve of the concentration of SF6, and O is calculated according to the curves2Content q1 and SF6 content q 2;
if not, judging O2Whether the concentration is greater than a preset concentration C2, if so, obtaining O2O in the pre-set time period RT6 before the concentration alarm time2A graph of the change in concentration and a graph of the change in concentration of SF6, from which O is calculated2Content q1 and SF6 content q2, otherwise, O is obtained2Concentration and SF6 concentration in the last preset time period RT6, and according to the curve graphs, O is calculated2Content q1 and SF6 content q 2;
calculating the content q2 and O of SF62The ratio S = q2/q1 of the content q 1;
drawing an atmospheric pressure change curve graph in a preset time period RT7 before and after the SF6 alarm time is generated;
if the atmospheric pressure variation graph has sudden change of the atmospheric pressure and S is more than a preset percentage, SF6 leakage is judged.
5. The method of detecting SF6 leakage in a power system of claim 1,
the step S8 specifically includes:
judgment of O2Whether the concentration is less than a preset concentration C1, if not, judging O2Aging and failure of sensor, and prompt O2Aging and failing the sensor, otherwise, judging O2Poor ventilation effect of the environment where the sensor is located, and prompt O2The ventilation effect of the environment where the sensor is located is poor.
6. The method of detecting SF6 leakage in a power system of claim 5,
judgment of O in the step S82Poor ventilation effect of the environment where the sensor is located, and prompt O2Poor the environmental ventilation effect that the sensor belongs to specifically includes:
starting O2A fan in the environment of the sensor is located,recording the running time T1 of the fan;
if T1 is greater than a predetermined time RT8, then O is plotted over the most recent predetermined time RT82The change curve of the concentration is stored in a corresponding database;
judging O in the preset time RT82Whether the concentration shows an ascending trend or not, and if so, recording the starting of the fan to O2The time T2 when the concentration returns to the normal range, if T2 is greater than a preset time RT9, the prompt O2The ventilation effect of the environment where the sensor is located is poor, and the number of fans is increased; otherwise, prompt O2The sensor ages and fails.
7. A system for detecting SF6 leakage by using the method of any of claims 1 to 6, comprising a sensor collection unit, a field host and a cloud platform monitoring terminal, wherein the field host is respectively connected with the sensor collection unit and the cloud platform monitoring terminal, and the sensor collection unit is integrated with O2Sensors and SF6 sensors, characterized in that,
the system also comprises a mobile terminal and a PC terminal;
the mobile terminal and the PC end are respectively connected with the cloud platform monitoring end;
the mobile terminal is in wireless connection with the cloud platform monitoring end;
the sensor acquisition unit is wirelessly connected with the on-site host;
the sensor acquisition unit is also integrated with an air pressure sensor.
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