Intelligent online monitoring system and method for SF6 gas leakage

Abstract

The invention discloses an intelligent online monitoring system and method for SF6 gas leakage, relates to the technical field of intelligent monitoring of SF6 gas, and solves the problems that in online monitoring of the SF6 gas, the influence of temperature change on detection data is neglected, so that data analysis is inaccurate, and the detection accuracy is low. And the technical problem that the detection interval cannot be dynamically adjusted according to the security of the detection data is solved. The method comprises the following steps: analyzing basic information to obtain a characteristic value of the basic information, analyzing the characteristic value to obtain an internal safety factor in equipment, and analyzing a target gas concentration to obtain an external safety factor; analyzing the internal safety factor and the external safety factor to obtain a detection interval; sending an operation instruction based on the target gas concentration, and carrying out alarm operation and fan regulation and control based on the operation instruction; according to the invention, the detection interval can be dynamically adjusted according to the security of the detection data, so that the system can adapt to different working conditions and environment changes, and the adaptability of the monitoring system is enhanced.

Description

Technical Field

[0001] The present invention belongs to the field of industrial safety monitoring, and relates to an intelligent monitoring technology for SF6 gas, and specifically to an intelligent online monitoring system and method for SF6 gas leakage. Background Art

[0002] SF6 gas is a colorless, odorless and non-flammable inert gas. It not only has stable chemical properties, but also has good insulation and arc extinguishing properties. It can be filled into electrical equipment as an arc extinguishing and insulating medium. With the large-scale use of SF6 gas, its safety has also received widespread attention. Under the action of high-voltage arcs or high temperatures, SF6 gas will partially decompose, and its decomposition products are often highly toxic, and even trace amounts are dangerous. When an indoor switch using SF6 gas as an insulating and arc extinguishing medium leaks during use, the leaked SF6 gas and its decomposition products will accumulate in the lower space of the room, causing local hypoxia and toxicity, posing a serious threat to the life safety of workers entering the room. Therefore, the monitoring of SF6 gas has received more and more attention.

[0003] The prior art (invention patent application with publication number CN117288392A) discloses a method and system for SF6 gas leakage monitoring. Its technical solution is: obtaining real-time monitoring values ​​of parameters of SF6 gas at different locations, including humidity, temperature and density; analyzing whether the real-time monitoring values ​​of parameters of SF6 gas at different locations fall into the preset monitoring value range of the corresponding location; if yes, judging that there is no leakage of SF6 gas; if not, analyzing and determining the problem distribution probability according to the corresponding relationship between the parameters that do not fall into the preset monitoring value range of the corresponding location, the location and the problem distribution probability, and sending the problem distribution probability to the terminal held by the person in charge. In the SF6 gas monitoring, the above scheme ignores the influence of temperature changes on the detection data, resulting in inaccurate data analysis. Ignoring this situation may pose a serious threat to the life safety of the staff entering the room; at the same time, the above scheme ignores the dynamic adjustment of the detection interval according to the security of the detection data, and cannot reduce the detection interval at a critical moment, and cannot respond to and handle potential safety issues more quickly by reducing the detection interval.

[0004] Therefore, the present invention discloses an intelligent online monitoring system and method for SF6 gas leakage, which are used to solve the above technical problems. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes an intelligent online monitoring system and method for SF6 gas leakage, which are used to solve the technical problems that in the online monitoring of SF6 gas, the influence of temperature change on the detection data is ignored, resulting in inaccurate data analysis, and the detection interval cannot be dynamically adjusted according to the safety of the detection data. The present invention obtains the target gas concentration in the detection area and the basic information of the SF6 gas inside the equipment, analyzes the basic information to obtain the characteristic value of the basic information, analyzes the characteristic value to obtain the internal safety factor inside the equipment, analyzes the target gas concentration to obtain the external safety factor; analyzes the internal safety factor and the external safety factor to obtain the detection interval; issues an operation instruction based on the target gas concentration, and performs alarm operation and fan control based on the operation instruction to solve the above problems.

[0006] To achieve the above object, the first aspect of the present invention provides an intelligent online monitoring system for SF6 gas leakage, comprising: a data analysis module, and a gas monitoring module, an intelligent control module and a database connected thereto; The gas monitoring module is used to obtain the target gas concentration in the detection area and the basic information of the SF6 gas inside the equipment by manually setting the detection area; wherein the target gas includes SF6 gas and oxygen, and the basic information includes pressure, temperature and trace water content; The data analysis module is used to analyze the basic information to obtain the characteristic value of the basic information, analyze the characteristic value to obtain the internal safety factor of the equipment; analyze the target gas concentration to obtain the external safety factor; wherein the characteristic value of the basic information includes the pressure characteristic value, the temperature characteristic value, and the trace water content characteristic value; The intelligent control module is used to analyze the internal safety factor and the external safety factor to obtain the detection interval; issue an operation instruction based on the target gas concentration, and perform alarm operation and fan regulation based on the operation instruction.

[0007] Preferably, the step of obtaining the target gas concentration in the detection area and basic information of the SF6 gas inside the equipment includes: The latest detection interval is obtained from the database, and based on the detection interval, the SF6 gas inside the equipment is detected by the SF6 gas online monitor to obtain certain pressures, temperatures and trace water contents; based on the detection interval, the detection area is detected by the oxygen detection device to obtain the oxygen concentration of the detection area, and based on the detection interval, the SF6 gas concentration of the detection area is detected by the SF6 infrared detector.

[0008] Preferably, the analyzing the basic information to obtain the characteristic value of the basic information includes: Extract the pressure, temperature and trace water content of the SF6 gas inside the equipment obtained by n tests before the current time, and divide the pressure into group A1, the temperature into group A2, and the trace water content into group A3; obtain the maximum value ZDi, percentile BNi and mode ZNi of each group of data, and obtain the target value MZi of each group based on the formula MZi=(B1i×ZDi+B2i×BNi+ZNi) / 2; among them, n is obtained by empirical setting, and the percentile of the percentile BNi is obtained by manual setting; i is the sequence number of each group, when i is 1, it represents the parameter data of group A1, when i is 2, it represents the parameter data of group A2, and when i is 3, it represents the parameter data of group A3; B1i and B2i are both proportional adjustment coefficients greater than 0, and B1i+B2i=1, B1i>B2i; The target value of group A2 is marked as the temperature characteristic value, and the target values ​​of pressure and trace water content are error compensated based on the temperature characteristic value to obtain the pressure characteristic value and the trace water content characteristic value.

[0009] It is worth noting that the present invention uses percentiles when calculating eigenvalues. The reason for using percentiles is that there may be abnormal values ​​or outliers in the data set, which may have a greater impact on statistics such as the mean. Using percentiles can reduce the interference of these abnormal values ​​and improve the accuracy of system analysis.

[0010] Preferably, the error compensation of the target values ​​of pressure and trace water content based on the temperature characteristic value to obtain the pressure characteristic value and the trace water content characteristic value includes: The temperature characteristic value is extracted, and the temperature difference coefficient WS is obtained based on the formula WS=1 / exp(δ×(MZ2-BW) / BW)-1; where BW is the manually set standard temperature; δ is the amplitude adjustment coefficient of the exp() function, and the value range of δ is (0,1]; The pressure compensation value and the trace water content compensation value corresponding to the temperature difference coefficient WS are extracted from the database, the pressure compensation value is added to the target value of group A1 to obtain the pressure characteristic value, and the trace water content compensation value is added to the target value of group A3 to obtain the trace water content characteristic value.

[0011] It is worth noting that the present invention uses a temperature compensation mechanism when obtaining the pressure characteristic value and the trace water content characteristic value. This is because different temperatures have different effects on the pressure value and the trace water content value of SF6 gas in a confined space. If the measured pressure value and the trace water content value are directly used for subsequent analysis without analysis, there may be problems such as: when the temperature rises, the pressure value of SF6 gas in the confined space increases. At this time, if there is a slight leakage of SF6 gas, the leakage cannot be sensitively discovered through the change in pressure, which may cause personal injury or damage to equipment. Therefore, the present invention removes errors in the obtained pressure value and trace water content value, ensures the reliability of the characteristic value, and improves the accuracy of monitoring in subsequent use.

[0012] Preferably, the analyzing the characteristic value to obtain the internal safety factor inside the device includes: E1: extract the pressure characteristic value TZ1, and determine whether the pressure characteristic value TZ1 is within the appropriate pressure range; if yes, jump to E4; if no, issue a pressure out-of-range alarm and jump to E4; E2: extract the temperature characteristic value TZ2, and determine whether the temperature characteristic value TZ2 is within the appropriate temperature range; if yes, jump to E4; if no, issue a temperature out-of-range alarm and jump to E4; E3: extract the trace water content characteristic value TZ3, and judge whether the trace water content characteristic value TZ3 is within the trace water content suitable range; if yes, jump to E4; if no, issue a trace water content out-of-range alarm and jump to E4; wherein, the pressure suitable range, temperature suitable range and trace water content suitable range are all obtained by manual setting; E4: Get the middle value ZJ1 of the suitable range of pressure; get the middle value ZJ2 of the suitable range of temperature; get the middle value ZJ3 of the suitable range of trace water content; E5: Extract the characteristic value TZr in the basic information in sequence, and judge whether the extracted characteristic value TZr is greater than the corresponding intermediate value ZJr; if yes, obtain the safety factor YAr of the data corresponding to the r value based on the formula YAr=exp(-H1r×|TZr-ZJr| / ZJr); if no, obtain the safety factor YAr of the data corresponding to the r value based on the formula YAr=exp(-H2r×|TZr-ZJr| / ZJr); wherein r is the number corresponding to the pressure, temperature and trace water content, when r is 1, it indicates the parameter data of pressure, when r is 2, it indicates the parameter data of temperature, and when r is 3, it indicates the parameter data of trace water content; H1r and H2r are both amplitude adjustment coefficients, and the value ranges of H1r and H2r are both (0,1]; E6: Extract the safety factor YA1, safety factor YA2 and safety factor YA3, and obtain the internal safety factor NA of the equipment based on the formula NA=ρ1×YA1+ρ2×YA2+ρ3×YA3; among which ρ1, ρ2 and ρ3 are all proportional adjustment coefficients greater than 0, and ρ1+ρ2+ρ3=1, ρ1>ρ3>ρ2.

[0013] It is worth noting that the present invention integrates the obtained pressure safety factor, temperature safety factor and trace water content safety factor to obtain an internal safety factor that can indicate the internal operation of the equipment. The internal safety factor provides a comprehensive metric that can comprehensively reflect the safety level of the internal state of the equipment. Through this internal safety factor, the working state of the equipment can be monitored in real time to ensure that the equipment operates within a safe range, thereby improving the safety of the system.

[0014] Preferably, the analysis of the target gas concentration to obtain the external safety factor includes: The SF6 gas concentration SQN and the oxygen concentration YQN are extracted, and the external safety factor WA is obtained based on the formula WA=σ1×(1-ln((SQN-BSQN) / BSQN+1))+σ2×(1-ln((YQN-BYQN) / BYQN+1)); wherein σ1 and σ2 are both proportional adjustment coefficients greater than 0, and σ1+σ2=1, σ1>σ2; BSQN is the manually set standard SF6 gas concentration, and BYQN is the manually set standard oxygen concentration.

[0015] It is worth noting that the present invention comprehensively calculates the SF6 gas concentration and the oxygen concentration to obtain an external safety factor that can indicate the external safety of the equipment. The system can adjust the detection interval according to this safety factor, thereby improving the detection flexibility of the system.

[0016] Preferably, the analysis of the internal safety factor and the external safety factor to obtain the detection interval includes: C1: extract the external safety factor WA, and determine whether the external safety factor WA is less than the external safety threshold WZ; if yes, obtain the control ratio TB based on the formula TB=LT×WA / WZ, and issue an alarm signal; if no, jump to C2; wherein LT is a proportional adjustment coefficient greater than 0, and the value range of LT is (0,2); the external safety threshold WZ is obtained through experience; C2: extract the internal safety factor NA, and determine whether the internal safety factor NA is less than the internal safety threshold NZ; if yes, obtain the control ratio TB based on the formula TB=LT×NA / NZ, and issue an alarm signal; if no, jump to C3; wherein the internal safety threshold NZ is obtained through experience; C3: Based on the formula ZA=τ1×WA+τ2×NA, the comprehensive safety factor ZA is obtained, and it is judged whether the comprehensive safety factor ZA is less than the comprehensive safety threshold ZY; if yes, the control ratio TB is obtained based on the formula TB=LT×ZA / ZY, and an alarm signal is issued; if no, the control ratio TB is set to 1; wherein τ1 and τ2 are both proportional adjustment coefficients greater than 0, and τ1+τ2=1, τ1>τ2; the comprehensive safety threshold ZY is obtained through experience; C4: Extract the fixed interval DG from the database, extract the control ratio TB, and obtain the detection interval CG based on the formula CG=DG×TB.

[0017] It is worth noting that this system does not use a fixed interval to detect relevant information, but dynamically adjusts the next detection interval according to the security of the current data. This enables the system to reduce the detection interval when data security is low. By reducing the detection interval, the system can respond and handle potential safety issues more quickly, thereby increasing the safety of gas leak detection. At the same time, increasing the detection interval when data security is higher can reduce resource consumption, such as computing resources, communication resources, and energy consumption, thereby improving the efficiency of the overall system. Dynamically adjusting the detection interval can ensure higher detection accuracy at critical moments, and can reduce unnecessary detection when security is higher, thereby improving the accuracy of overall detection.

[0018] Preferably, issuing an operation instruction based on the target gas concentration includes: Extract the SF6 gas concentration SQN, and determine whether the SF6 gas concentration SQN exceeds the SF6 gas safety threshold SY; if yes, issue an operation instruction 1; if no, do not issue an operation instruction; Extract the oxygen concentration YQN, and determine whether the oxygen concentration YQN is lower than the oxygen safety threshold YY; if yes, issue operation instruction 2; if no, do not issue operation instruction; wherein the operation instruction includes operation instruction 1 and operation instruction 2; the SF6 gas safety threshold and the oxygen safety threshold are obtained by manual setting.

[0019] Preferably, the alarm operation and fan control based on the operation instruction include: Extract the operation instruction. When the operation instruction is operation instruction 1, issue an alarm indicating that the SF6 gas concentration exceeds the standard, extract the SF6 gas concentration SQN, obtain the fan speed ZV based on the formula ZV=GS×SQN / SY, and start the fan according to the fan speed ZV. When the operation instruction is operation instruction two, an oxygen concentration exceeding standard alarm is issued, and the oxygen concentration YQN is extracted. The fan speed ZV is obtained based on the formula ZV=GS×YQN / YY, and the fan is started according to the fan speed ZV.

[0020] A second aspect of the present invention provides an intelligent online monitoring method for SF6 gas leakage, comprising the following steps: S1: By manually setting the detection area, the target gas concentration in the detection area and the basic information of SF6 gas inside the equipment are obtained; S2: Analyze the basic information to obtain the characteristic value of the basic information, analyze the characteristic value to obtain the internal safety factor of the equipment; analyze the target gas concentration to obtain the external safety factor; S3: Analyze the internal safety factor and the external safety factor to obtain the detection interval; issue an operation instruction based on the target gas concentration, and perform alarm operation and fan control based on the operation instruction.

[0021] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention obtains the target gas concentration in the detection area and the basic information of SF6 gas inside the equipment, analyzes the basic information to obtain the characteristic value of the basic information, analyzes the characteristic value to obtain the internal safety factor inside the equipment, and analyzes the target gas concentration to obtain the external safety factor; analyzes the internal safety factor and the external safety factor to obtain the detection interval; issues an operation instruction based on the target gas concentration, and performs alarm operation and fan control based on the operation instruction, thereby solving the technical problems of ignoring the influence of temperature changes on detection data in SF6 gas online monitoring, resulting in inaccurate data analysis, and failing to dynamically adjust the detection interval according to the safety of the detection data; the present invention can dynamically adjust the detection interval according to the safety of the detection data, so that the system can adapt to different working conditions and environmental changes, thereby enhancing the adaptability of the monitoring system.

[0022] 2. The present invention uses a temperature compensation mechanism when obtaining the pressure characteristic value and the trace water content characteristic value. This is because different temperatures have different effects on the pressure value and the trace water content value of SF6 gas in a confined space. If the measured pressure value and the trace water content value are directly used for subsequent analysis without analysis, there may be problems such as: when the temperature rises, the pressure value of SF6 gas in the confined space increases. At this time, if there is a slight leakage of SF6 gas, the leakage cannot be sensitively discovered through the change in pressure, which may cause injury to personnel or damage to equipment. Therefore, the present invention removes errors in the obtained pressure value and trace water content value, ensures the reliability of the characteristic value, and improves the accuracy of monitoring in subsequent use.

[0023] 3. This system does not use a fixed interval to detect relevant information, but dynamically adjusts the next detection interval according to the security of the current data. This allows the system to reduce the detection interval when data security is low. By reducing the detection interval, the system can respond and handle potential safety issues more quickly, thereby increasing the safety of gas leak detection; at the same time, increasing the detection interval when data security is high can reduce resource consumption, such as computing resources, communication resources, and energy consumption, thereby improving the efficiency of the overall system; dynamically adjusting the detection interval can ensure higher detection accuracy at critical moments, and can reduce unnecessary detection when security is high, thereby improving the accuracy of overall detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0025] Figure 1 It is a schematic diagram of the operation steps of the present invention; Figure 2 It is a schematic diagram of the system module of the present invention; Figure 3 The figure is a schematic diagram of the operation steps for obtaining the detection interval of the present invention. DETAILED DESCRIPTION

[0026] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] See also Figure 1-Figure 2 , the first aspect of the present invention provides an intelligent online monitoring system for SF6 gas leakage, including: a data analysis module, and a gas monitoring module, an intelligent control module and a database connected thereto; Gas monitoring module: used to manually set the detection area to obtain the target gas concentration in the detection area and the basic information of SF6 gas inside the equipment; the target gas includes SF6 gas and oxygen, and the basic information includes pressure, temperature and trace water content; Data analysis module: used to analyze the basic information to obtain the characteristic value of the basic information, analyze the characteristic value to obtain the internal safety factor of the equipment; analyze the target gas concentration to obtain the external safety factor; wherein the characteristic value of the basic information includes the characteristic value of pressure, the characteristic value of temperature, and the characteristic value of trace water content; Intelligent control module: used to analyze internal safety factors and external safety factors to obtain detection intervals; issue operating instructions based on target gas concentrations, and perform alarm operations and fan control based on the operating instructions.

[0028] It should be noted that the detection area includes the switch room and the combined electrical room.

[0029] It should be noted that the detection area is a partial area outside the device.

[0030] Exemplary: Obtain the SF6 gas concentration and oxygen concentration in the detection area, as well as the pressure, temperature and trace water content of the SF6 gas inside the equipment; Extract the pressure, temperature and trace water content of the SF6 gas inside the equipment detected 10 times before the current time, and divide the pressure into group A1, the temperature into group A2, and the trace water content into group A3; The maximum value ZD1=0.53MPa, percentile BN1=0.52MPa and mode ZN1=0.51MPa of the data of group A1 are obtained, and based on the formula MZ1=(B11×ZD1+B21×BN1+ZN1) / 2=(0.8×0.53+0.2×0.52+0.51) / 2=0.519MPa, the target value MZ1=0.519MPa of group A1 is obtained; wherein, in this embodiment, the percentile where the percentile is located is 60%, the proportional adjustment coefficient B11 is 0.8, and the proportional adjustment coefficient B21 is 0.2; The maximum value ZD2=40°C, the percentile BN2=38°C and the mode ZN2=37°C of the data of group A2 are obtained, and based on the formula MZ2=(B12×ZD2+B22×BN2+ZN2) / 2=(0.6×40+0.4×38+37) / 2=38.1°C, the target value MZ2=38.1°C of group A2 is obtained; wherein, in this embodiment, the proportional adjustment coefficient B12 is taken as 0.6, and the proportional adjustment coefficient B22 is taken as 0.4; The maximum value ZD3=290ppmv, percentile BN3=280ppmv and mode ZN3=270ppmv of the data of group A3 are obtained, and based on the formula MZ3=(B13×ZD3+B23×BN3+ZN3) / 2=(0.7×290+0.3×280+270) / 2=278.5ppmv, the target value MZ3=278.5ppmv of group A3 is obtained; wherein, in this embodiment, the proportional adjustment coefficient B13 is taken as 0.7, and the proportional adjustment coefficient B23 is taken as 0.3; The target value of group A2 is marked as the temperature characteristic value, and based on the formula WS=1 / exp(δ×(MZ2-BW) / BW)-1=1 / exp(0.9×(38.1-35) / 35)-1=-0.076, the temperature difference coefficient WS=-0.076 is obtained; wherein, in this embodiment, the standard temperature is 35°C, and the amplitude adjustment coefficient δ is 0.9; Extract the pressure compensation value and the trace water content compensation value corresponding to the temperature difference coefficient WS from the database, add the pressure compensation value to the target value of group A1 to obtain the pressure characteristic value, and add the trace water content compensation value to the target value of group A3 to obtain the trace water content characteristic value; Since the pressure characteristic value TZ1, the temperature characteristic value TZ2 and the trace water content characteristic value TZ3 are all within the corresponding suitable content ranges, the middle value ZJ1 of the suitable pressure range is obtained; the middle value ZJ2 of the suitable temperature range is obtained; and the middle value ZJ3 of the suitable trace water content range is obtained; Extract the characteristic value TZr in the basic information in sequence, and judge whether the extracted characteristic value TZr is greater than the corresponding intermediate value ZJr; if it is, obtain the safety factor YAr of the data corresponding to the value of r based on the formula YAr=exp(-H1r×|TZr-ZJr| / ZJr); if not, obtain the safety factor YAr of the data corresponding to the value of r based on the formula YAr=exp(-H2r×|TZr-ZJr| / ZJr); For example, the temperature characteristic value TZ2=38.1°C is extracted. Since the temperature characteristic value TZ2 is not greater than the middle value ZJ2=40°C of the temperature suitable range, the temperature safety factor YA2=0.958 is obtained based on the formula YA2=exp(-H22×|TZ2-ZJ2| / ZJ2)=exp(-0.9×|38.1-40| / 40)=0.958. In this embodiment, the amplitude adjustment coefficient H22 is 0.9. Extract the safety factor YA1, safety factor YA2 and safety factor YA3, and obtain the internal safety factor NA of the equipment based on the formula NA=ρ1×YA1+ρ2×YA2+ρ3×YA3; where ρ1, ρ2 and ρ3 are all proportional adjustment coefficients greater than 0, and ρ1+ρ2+ρ3=1, ρ1>ρ3>ρ2; Extract the SF6 gas concentration SQN and the oxygen concentration YQN, and obtain the external safety factor WA based on the formula WA=σ1×(1-ln((SQN-BSQN) / BSQN+1))+σ2×(1-ln((YQN-BYQN) / BYQN+1)); wherein σ1 and σ2 are both proportional adjustment coefficients greater than 0, and σ1+σ2=1, σ1>σ2; BSQN is the manually set standard SF6 gas concentration, and BYQN is the manually set standard oxygen concentration; Then proceed as follows: C1: Extract the external safety factor WA and determine whether the external safety factor WA is less than the external safety threshold WZ; if yes, obtain the control ratio TB based on the formula TB=LT×WA / WZ and issue an alarm signal; if no, jump to C2; where LT is a proportional adjustment coefficient greater than 0, and the value range of LT is (0,2); the external safety threshold WZ is obtained through experience; C2: Extract the internal safety factor NA and determine whether the internal safety factor NA is less than the internal safety threshold NZ; if yes, obtain the control ratio TB based on the formula TB=LT×NA / NZ and issue an alarm signal; if no, jump to C3; the internal safety threshold NZ is obtained through experience; C3: Based on the formula ZA=τ1×WA+τ2×NA, the comprehensive safety factor ZA is obtained, and it is judged whether the comprehensive safety factor ZA is less than the comprehensive safety threshold ZY; if yes, the control ratio TB is obtained based on the formula TB=LT×ZA / ZY, and an alarm signal is issued; if no, the control ratio TB is set to 1; wherein τ1 and τ2 are both proportional adjustment coefficients greater than 0, and τ1+τ2=1, τ1>τ2; the comprehensive safety threshold ZY is obtained through experience; C4: extract the fixed interval DG from the database, extract the control ratio TB, and obtain the detection interval CG based on the formula CG=DG×TB; wherein, in this embodiment, the fixed interval DG is set to 5 minutes; Extract the SF6 gas concentration SQN and determine whether the SF6 gas concentration SQN exceeds the SF6 gas safety threshold SY; if yes, issue an operation instruction 1; if no, do not issue an operation instruction; Extract the oxygen concentration YQN and determine whether the oxygen concentration YQN is lower than the oxygen safety threshold YY; if yes, issue operation instruction 2; if no, do not issue operation instruction; wherein the operation instruction includes operation instruction 1 and operation instruction 2; the SF6 gas safety threshold and the oxygen safety threshold are obtained by manual setting.

[0031] When the operation instruction is operation instruction 1, an SF6 gas concentration exceeding standard alarm is issued, and the SF6 gas concentration SQN is extracted. The fan speed ZV is obtained based on the formula ZV=GS×SQN / SY, and the fan is started according to the fan speed ZV; When the operation instruction is operation instruction two, an oxygen concentration exceeding standard alarm is issued, and the oxygen concentration YQN is extracted. The fan speed ZV is obtained based on the formula ZV=GS×YQN / YY, and the fan is started according to the fan speed ZV.

[0032] In this application, the target gas concentration in the detection area and the basic information of SF6 gas inside the equipment are obtained, including: The latest detection interval is obtained from the database, and based on the detection interval, the SF6 gas inside the equipment is detected by the SF6 gas online monitor to obtain certain pressures, temperatures and trace water contents; based on the detection interval, the detection area is detected by the oxygen detection device to obtain the oxygen concentration of the detection area, and based on the detection interval, the SF6 gas concentration of the detection area is detected by the SF6 infrared detector.

[0033] It should be noted that the specific steps for obtaining the SF6 gas concentration in the detection area by using the SF6 infrared detector are as follows: The wavelength of the emission from the SF6 infrared detector placed in the detection area is The infrared light is modulated into a wavelength of The monochromatic light is received at the receiving end to obtain an output signal, and the output signal is marked as a comparison signal; Based on the formula Indicates the measurement signal ; Based on the formula Indicates contrast signal ;in, , They are , The initial intensity of the light; , They are the optical path system for wavelength , The optical coupling coefficient of , is the conversion factor of the two detectors; , is the absorption coefficient of the gas; , It is the interference signal of the optical path; is the concentration of the measured gas; is the absorption path length; For measuring signal and contrast signal Perform phase division transformation to obtain the concentration of SF6 gas , the formula is as follows: .

[0034] It should be noted that It is 10.55μm.

[0035] It should be noted that is 4μm.

[0036] It should be noted that the transmitting end is a light source that can generate infrared light with a wavelength of 10.55 μm, and the receiving end is a pyroelectric detector with two narrow-band filters.

[0037] It should be noted that the modulated wavelength of the comparison channel is The monochromatic light will not absorb SF6 gas and can effectively isolate the influence of other gases in the air, such as CO2, O2, H2O, etc. The contrast channel produces a stable signal that only changes due to external influences and is not affected by SF6 gas.

[0038] In this application, the basic information is analyzed to obtain the characteristic values ​​of the basic information, including: Extract the pressure, temperature and trace water content of the SF6 gas inside the equipment obtained by n tests before the current time, and divide the pressure into group A1, the temperature into group A2, and the trace water content into group A3; obtain the maximum value ZDi, percentile BNi and mode ZNi of each group of data, and obtain the target value MZi of each group based on the formula MZi=(B1i×ZDi+B2i×BNi+ZNi) / 2; among them, n is obtained by empirical setting, and the percentile of the percentile BNi is obtained by manual setting; i is the sequence number of each group, when i is 1, it represents the parameter data of group A1, when i is 2, it represents the parameter data of group A2, and when i is 3, it represents the parameter data of group A3; B1i and B2i are both proportional adjustment coefficients greater than 0, and B1i+B2i=1, B1i>B2i; The target value of group A2 is marked as the temperature characteristic value, and the target values ​​of pressure and trace water content are error compensated based on the temperature characteristic value to obtain the pressure characteristic value and the trace water content characteristic value.

[0039] It should be noted that in the present invention, the percentile BNi is the value at a specific percentile in each group; for example, if the data of each group is sorted in order of size, if the manually set percentile is 60%, then the data at the 60% position of each group in order is the percentile BNi of the group.

[0040] It should be noted that when the value of i is different, the values ​​of B1i and B2i are also different; for example: when i is 1, the value of B11 is 0.8 and the value of B21 is 0.2; when i is 2, the value of B12 is 0.6 and the value of B22 is 0.4; when i is 3, the value of B13 is 0.7 and the value of B23 is 0.3.

[0041] It should be noted that in this application, i is the serial number of each group. When i is 1, it represents the parameter data of group A1; when i is 2, it represents the parameter data of group A2; when i is 3, it represents the parameter data of group A3. The specific explanation is: When i is 1, ZD1 is the maximum value of group A1, BN1 is the percentile of group A1, ZN1 is the mode of group A1, MZ1 is the target value of group A1, and B11 and B21 are the proportional adjustment coefficients of group A1; When i is 2, ZD2 is the maximum value of group A2, BN2 is the percentile of group A2, ZN2 is the mode of group A2, MZ2 is the target value of group A2, and B12 and B22 are the proportional adjustment coefficients of group A2; When i is 3, ZD3 is the maximum value of group A3, BN3 is the percentile of group A3, ZN3 is the mode of group A3, MZ3 is the target value of group A3, and B13 and B23 are the proportional adjustment coefficients of group A3.

[0042] In this application, the target values ​​of pressure and trace water content are compensated for errors based on the temperature characteristic value to obtain the pressure characteristic value and the trace water content characteristic value, including: The temperature characteristic value is extracted, and the temperature difference coefficient WS is obtained based on the formula WS=1 / exp(δ×(MZ2-BW) / BW)-1; where BW is the manually set standard temperature; δ is the amplitude adjustment coefficient of the exp() function, and the value range of δ is (0,1]; The pressure compensation value and the trace water content compensation value corresponding to the temperature difference coefficient WS are extracted from the database, the pressure compensation value is added to the target value of group A1 to obtain the pressure characteristic value, and the trace water content compensation value is added to the target value of group A3 to obtain the trace water content characteristic value.

[0043] It should be noted that the corresponding relationship between the temperature difference coefficient WS and the pressure compensation value YB is calculated based on the formula YB=μ1×WS; the corresponding relationship between the temperature difference coefficient WS and the trace water content compensation value is calculated based on the formula YB=μ2×WS; wherein μ1 is the pressure compensation value per unit temperature difference coefficient obtained through experience, and μ2 is the trace water content compensation value per unit temperature difference coefficient obtained through experience.

[0044] In this application, the characteristic values ​​are analyzed to obtain the internal safety factors within the equipment, including: E1: Extract the pressure characteristic value TZ1 and determine whether the pressure characteristic value TZ1 is within the appropriate pressure range; if yes, jump to E4; if no, issue a pressure out-of-range alarm and jump to E4; E2: Extract the temperature characteristic value TZ2 and determine whether the temperature characteristic value TZ2 is within the appropriate temperature range; if yes, jump to E4; if no, issue a temperature out-of-range alarm and jump to E4; E3: Extract the characteristic value TZ3 of the trace water content, and judge whether the characteristic value TZ3 of the trace water content is within the appropriate range of the trace water content; if yes, jump to E4; if no, issue an alarm of the trace water content exceeding the range, and jump to E4; wherein, the appropriate range of pressure, the appropriate range of temperature and the appropriate range of the trace water content are all obtained by manual setting; E4: Get the middle value ZJ1 of the suitable range of pressure; get the middle value ZJ2 of the suitable range of temperature; get the middle value ZJ3 of the suitable range of trace water content; E5: Extract the characteristic value TZr in the basic information in sequence, and judge whether the extracted characteristic value TZr is greater than the corresponding intermediate value ZJr; if yes, obtain the safety factor YAr of the data corresponding to the r value based on the formula YAr=exp(-H1r×|TZr-ZJr| / ZJr); if no, obtain the safety factor YAr of the data corresponding to the r value based on the formula YAr=exp(-H2r×|TZr-ZJr| / ZJr); wherein r is the number corresponding to the pressure, temperature and trace water content, when r is 1, it indicates the parameter data of pressure, when r is 2, it indicates the parameter data of temperature, and when r is 3, it indicates the parameter data of trace water content; H1r and H2r are both amplitude adjustment coefficients, and the value ranges of H1r and H2r are both (0,1]; E6: Extract the safety factor YA1, safety factor YA2 and safety factor YA3, and obtain the internal safety factor NA of the equipment based on the formula NA=ρ1×YA1+ρ2×YA2+ρ3×YA3; among which ρ1, ρ2 and ρ3 are all proportional adjustment coefficients greater than 0, and ρ1+ρ2+ρ3=1, ρ1>ρ3>ρ2.

[0045] It should be noted that the safety factor YA1 represents the pressure safety factor, the safety factor YA2 represents the temperature safety factor, and the safety factor YA3 represents the trace water content safety factor.

[0046] It should be noted that when the value of r is different, the values ​​of H1r and H2r are also different. For example, when r is 1, the value of H11 is 0.9 and the value of H21 is 1; when r is 2, the value of H12 is 0.8 and the value of H22 is 0.9; when r is 3, the value of H13 is 0.9 and the value of H23 is 0.95.

[0047] It should be noted that in step E5, the pressure, temperature and trace water content safety factor YAr are calculated respectively, and the specific calculation steps are as follows: E51: Extract the pressure characteristic value TZ1 and determine whether the pressure characteristic value TZ1 is greater than the intermediate value ZJ1; if yes, obtain the pressure safety factor YA1 based on the formula YA1=exp(-H11×|TZ1-ZJ1| / ZJ1); if no, obtain the pressure safety factor YA1 based on the formula YA1=exp(-H21×|TZ1-ZJ1| / ZJ1); where H11 and H21 are both amplitude adjustment coefficients, and the value ranges of H11 and H21 are both (0,1]; E52: Extract the temperature characteristic value TZ2 and determine whether the temperature characteristic value TZ2 is greater than the intermediate value ZJ2; if yes, obtain the temperature safety factor YA2 based on the formula YA2=exp(-H12×|TZ2-ZJ2| / ZJ2); if no, obtain the temperature safety factor YA2 based on the formula YA2=exp(-H22×|TZ2-ZJ2| / ZJ2); where H12 and H22 are both amplitude adjustment coefficients, and the value ranges of H12 and H22 are both (0,1]; E53: Extract the trace water content characteristic value TZ3, and determine whether the trace water content characteristic value TZ3 is greater than the intermediate value ZJ3; if yes, obtain the trace water content safety factor YA3 based on the formula YA3=exp(-H13×|TZ3-ZJ3| / ZJ3); if no, obtain the trace water content safety factor YA3 based on the formula YA3exp(-H23×|TZ3-ZJ3| / ZJ3); wherein H13 and H23 are both amplitude adjustment coefficients, and the value ranges of H13 and H23 are both (0,1).

[0048] In this application, the target gas concentration is analyzed to obtain external safety factors, including: The SF6 gas concentration SQN and the oxygen concentration YQN are extracted, and the external safety factor WA is obtained based on the formula WA=σ1×(1-ln((SQN-BSQN) / BSQN+1))+σ2×(1-ln((YQN-BYQN) / BYQN+1)); wherein σ1 and σ2 are both proportional adjustment coefficients greater than 0, and σ1+σ2=1, σ1>σ2; BSQN is the manually set standard SF6 gas concentration, and BYQN is the manually set standard oxygen concentration.

[0049] See also Figure 3 In this application, the internal safety factor and the external safety factor are analyzed to obtain the detection interval, including: C1: Extract the external safety factor WA and determine whether the external safety factor WA is less than the external safety threshold WZ; if yes, obtain the control ratio TB based on the formula TB=LT×WA / WZ and issue an alarm signal; if no, jump to C2; where LT is a proportional adjustment coefficient greater than 0, and the value range of LT is (0,2); the external safety threshold WZ is obtained through experience; C2: Extract the internal safety factor NA and determine whether the internal safety factor NA is less than the internal safety threshold NZ; if yes, obtain the control ratio TB based on the formula TB=LT×NA / NZ and issue an alarm signal; if no, jump to C3; the internal safety threshold NZ is obtained through experience; C3: Based on the formula ZA=τ1×WA+τ2×NA, the comprehensive safety factor ZA is obtained, and it is judged whether the comprehensive safety factor ZA is less than the comprehensive safety threshold ZY; if yes, the control ratio TB is obtained based on the formula TB=LT×ZA / ZY, and an alarm signal is issued; if no, the control ratio TB is set to 1; wherein τ1 and τ2 are both proportional adjustment coefficients greater than 0, and τ1+τ2=1, τ1>τ2; the comprehensive safety threshold ZY is obtained through experience; C4: Extract the fixed interval DG from the database, extract the control ratio TB, and obtain the detection interval CG based on the formula CG=DG×TB.

[0050] In this application, operation instructions are issued based on the target gas concentration, including: Extract the SF6 gas concentration SQN and determine whether the SF6 gas concentration SQN exceeds the SF6 gas safety threshold SY; if yes, issue an operation instruction 1; if no, do not issue an operation instruction; Extract the oxygen concentration YQN and determine whether the oxygen concentration YQN is lower than the oxygen safety threshold YY; if yes, issue operation instruction 2; if no, do not issue operation instruction; wherein the operation instruction includes operation instruction 1 and operation instruction 2; the SF6 gas safety threshold and the oxygen safety threshold are obtained by manual setting.

[0051] In this application, alarm operation and fan control are performed based on operation instructions, including: Extract the operation instruction. When the operation instruction is operation instruction 1, issue an alarm indicating that the SF6 gas concentration exceeds the standard, extract the SF6 gas concentration SQN, obtain the fan speed ZV based on the formula ZV=GS×SQN / SY, and start the fan according to the fan speed ZV. When the operation instruction is operation instruction two, an oxygen concentration exceeding standard alarm is issued, and the oxygen concentration YQN is extracted. The fan speed ZV is obtained based on the formula ZV=GS×YQN / YY, and the fan is started according to the fan speed ZV.

[0052] The second aspect of the present invention provides an intelligent online monitoring method for SF6 gas leakage, comprising the following steps: S1: By manually setting the detection area, the target gas concentration in the detection area and the basic information of SF6 gas inside the equipment are obtained; S2: Analyze the basic information to obtain the characteristic value of the basic information, analyze the characteristic value to obtain the internal safety factor of the equipment; analyze the target gas concentration to obtain the external safety factor; S3: Analyze the internal safety factor and the external safety factor to obtain the detection interval; issue an operation instruction based on the target gas concentration, and perform alarm operation and fan control based on the operation instruction.

[0053] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0054] Working principle of the present invention: The present invention first manually sets the detection area to obtain the target gas concentration in the detection area and the basic information of the SF6 gas inside the equipment; the basic information is analyzed to obtain the characteristic value of the basic information, and a temperature compensation mechanism is added in this step to remove the errors in the obtained pressure value and the micro-water content value, so as to ensure the reliability of the characteristic value and improve the accuracy of monitoring in subsequent use; the characteristic value is analyzed to obtain the internal safety factor inside the equipment, and in this step, an internal safety factor that can indicate the internal operation of the equipment is obtained. Through this internal safety factor, the working state of the equipment can be monitored in real time to ensure that the equipment operates within a safe range, thereby improving the safety of the system; the target gas concentration is analyzed to obtain the external safety factor, and in this step, an external safety factor that can indicate the external safety of the equipment is obtained. The system can adjust the detection interval according to this safety factor, thereby improving the detection flexibility of the system; the internal safety factor and the external safety factor are analyzed to obtain the detection interval, and the detection interval obtained in this step can be dynamically adjusted, so as to ensure higher detection accuracy at critical moments, and to reduce unnecessary detection when the safety is high, thereby improving the accuracy of the overall detection; an operation instruction is issued based on the target gas concentration, and an alarm operation and fan control are performed based on the operation instruction.

[0055] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent online monitoring system for SF6 gas leakage, characterized in that: include: Data analysis module, and the gas monitoring module, intelligent control module and database connected thereto; The gas monitoring module is used to obtain the target gas concentration in the detection area and the basic information of the SF6 gas inside the equipment by manually setting the detection area; wherein the target gas includes SF6 gas and oxygen, and the basic information includes pressure, temperature and trace water content; The data analysis module is used to analyze the basic information to obtain the characteristic value of the basic information, analyze the characteristic value to obtain the internal safety factor of the equipment; analyze the target gas concentration to obtain the external safety factor; wherein the characteristic value of the basic information includes the pressure characteristic value, the temperature characteristic value, and the trace water content characteristic value; The intelligent control module is used to analyze the internal safety factor and the external safety factor to obtain the detection interval; issue an operation instruction based on the target gas concentration, and perform alarm operation and fan control based on the operation instruction; The step of analyzing the basic information to obtain the characteristic value of the basic information includes: Extract the pressure, temperature and trace water content of the SF6 gas inside the equipment obtained by n tests before the current time, and divide the pressure into group A1, the temperature into group A2, and the trace water content into group A3; obtain the maximum value ZDi, percentile BNi and mode ZNi of each group of data, and obtain the target value MZi of each group based on the formula MZi=(B1i×ZDi+B2i×BNi+ZNi) / 2; where i is the sequence number of each group, i is 1, it represents the parameter data of group A1, i is 2, it represents the parameter data of group A2, and i is 3, it represents the parameter data of group A3; B1i and B2i are both proportional adjustment coefficients greater than 0, and B1i+B2i=1, B1i>B2i; The target value of group A2 is marked as a temperature characteristic value, and error compensation is performed on the target values ​​of pressure and trace water content based on the temperature characteristic value to obtain a pressure characteristic value and a trace water content characteristic value; The error compensation of the target values ​​of pressure and trace water content based on the temperature characteristic value to obtain the pressure characteristic value and the trace water content characteristic value includes: Extract the temperature characteristic value and obtain the temperature difference coefficient WS based on the formula WS=1 / exp(δ×(MZ2-BW) / BW)-1; where BW is the standard temperature; δ is the amplitude adjustment coefficient of the exp() function, and the value range of δ is (0,1]; The pressure compensation value and the trace water content compensation value corresponding to the temperature difference coefficient WS are extracted from the database, the pressure compensation value is added to the target value of group A1 to obtain the pressure characteristic value, and the trace water content compensation value is added to the target value of group A3 to obtain the trace water content characteristic value.

2. The intelligent online monitoring system for SF6 gas leakage according to claim 1 is characterized in that: The acquisition of the target gas concentration in the detection area and basic information of the SF6 gas inside the equipment includes: The latest detection interval is obtained from the database, and based on the detection interval, the SF6 gas inside the equipment is detected by the SF6 gas online monitor to obtain certain pressures, temperatures and trace water contents; based on the detection interval, the detection area is detected by the oxygen detection device to obtain the oxygen concentration of the detection area, and based on the detection interval, the SF6 gas concentration of the detection area is detected by the SF6 infrared detector.

3. The intelligent online monitoring system for SF6 gas leakage according to claim 1 is characterized in that: The analysis of the characteristic value to obtain the internal safety factor inside the device includes: E1: extract the pressure characteristic value TZ1, and determine whether the pressure characteristic value TZ1 is within the appropriate pressure range; if yes, jump to E4; if no, issue a pressure out-of-range alarm and jump to E4; E2: extract the temperature characteristic value TZ2, and determine whether the temperature characteristic value TZ2 is within the appropriate temperature range; if yes, jump to E4; if no, issue a temperature out-of-range alarm and jump to E4; E3: extract the trace water content characteristic value TZ3, and determine whether the trace water content characteristic value TZ3 is within the appropriate range of trace water content; if yes, jump to E4; if no, issue a trace water content out-of-range alarm and jump to E4; E4: Get the middle value ZJ1 of the suitable range of pressure; get the middle value ZJ2 of the suitable range of temperature; get the middle value ZJ3 of the suitable range of trace water content; E5: Extract the characteristic value TZr in the basic information in sequence, and determine whether the extracted characteristic value TZr is greater than the corresponding intermediate value ZJr; if yes, obtain the safety factor YAr of the data corresponding to the r value based on the formula YAr=exp(-H1r×|TZr-ZJr| / ZJr); if no, obtain the safety factor YAr of the data corresponding to the r value based on the formula YAr=exp(-H2r×|TZr-ZJr| / ZJr); wherein r is the number corresponding to the pressure, temperature and trace water content, when r is 1, it indicates the parameter data of pressure, when r is 2, it indicates the parameter data of temperature, and when r is 3, it indicates the parameter data of trace water content; H1r and H2r are both amplitude adjustment coefficients, and the value ranges of H1r and H2r are both (0,1]; E6: Extract the safety factor YA1, safety factor YA2 and safety factor YA3, and obtain the internal safety factor NA of the equipment based on the formula NA=ρ1×YA1+ρ2×YA2+ρ3×YA3; among which ρ1, ρ2 and ρ3 are all proportional adjustment coefficients greater than 0, and ρ1+ρ2+ρ3=1, ρ1>ρ3>ρ2.

4. The intelligent online monitoring system for SF6 gas leakage according to claim 3 is characterized in that: The external safety factor obtained by analyzing the target gas concentration includes: The SF6 gas concentration SQN and the oxygen concentration YQN are extracted, and the external safety factor WA is obtained based on the formula WA=σ1×(1-ln((SQN-BSQN) / BSQN+1))+σ2×(1-ln((YQN-BYQN) / BYQN+1)); wherein σ1 and σ2 are both proportional adjustment coefficients greater than 0, and σ1+σ2=1, σ1>σ2; BSQN is the standard SF6 gas concentration, and BYQN is the standard oxygen concentration.

5. The intelligent online monitoring system for SF6 gas leakage according to claim 4 is characterized in that: The step of analyzing the internal safety factor and the external safety factor to obtain the detection interval includes: C1: extract the external safety factor WA, and determine whether the external safety factor WA is less than the external safety threshold WZ; if yes, obtain the control ratio TB based on the formula TB=LT×WA / WZ, and issue an alarm signal; if no, jump to C2; wherein LT is a proportional adjustment coefficient greater than 0, and the value range of LT is (0,2); C2: extract the internal safety factor NA, and determine whether the internal safety factor NA is less than the internal safety threshold NZ; if yes, obtain the control ratio TB based on the formula TB=LT×NA / NZ, and issue an alarm signal; if no, jump to C3; C3: Based on the formula ZA=τ1×WA+τ2×NA, the comprehensive safety factor ZA is obtained, and it is judged whether the comprehensive safety factor ZA is less than the comprehensive safety threshold ZY; if yes, the control ratio TB is obtained based on the formula TB=LT×ZA / ZY, and an alarm signal is issued; if no, the control ratio TB is set to 1; wherein τ1 and τ2 are both proportional adjustment coefficients greater than 0, and τ1+τ2=1, τ1>τ2; C4: Extract the fixed interval DG from the database, extract the control ratio TB, and obtain the detection interval CG based on the formula CG=DG×TB.

6. The intelligent online monitoring system for SF6 gas leakage according to claim 1 is characterized in that: The issuing of an operation instruction based on the target gas concentration includes: Extract the SF6 gas concentration SQN, and determine whether the SF6 gas concentration SQN exceeds the SF6 gas safety threshold SY; if yes, issue an operation instruction 1; if no, do not issue an operation instruction; Extract the oxygen concentration YQN and determine whether the oxygen concentration YQN is lower than the oxygen safety threshold value YY; if yes, issue the second operation instruction; if no, do not issue the second operation instruction; wherein the operation instruction includes the first operation instruction and the second operation instruction.

7. The intelligent online monitoring system for SF6 gas leakage according to claim 6, characterized in that: The alarm operation and fan control based on the operation instruction include: Extract the operation instruction. When the operation instruction is operation instruction 1, issue an alarm indicating that the SF6 gas concentration exceeds the standard, extract the SF6 gas concentration SQN, obtain the fan speed ZV based on the formula ZV=GS×SQN / SY, and start the fan according to the fan speed ZV. When the operation instruction is operation instruction two, an oxygen concentration exceeding standard alarm is issued, and the oxygen concentration YQN is extracted. The fan speed ZV is obtained based on the formula ZV=GS×YQN / YY, and the fan is started according to the fan speed ZV.

8. An intelligent online monitoring method for SF6 gas leakage, based on the operation of an intelligent online monitoring system for SF6 gas leakage according to any one of claims 1 to 7, characterized in that: S1: By manually setting the detection area, the target gas concentration in the detection area and the basic information of SF6 gas inside the equipment are obtained; S2: Analyze the basic information to obtain the characteristic value of the basic information, analyze the characteristic value to obtain the internal safety factor of the equipment; analyze the target gas concentration to obtain the external safety factor; S3: Analyze the internal safety factor and the external safety factor to obtain the detection interval; issue an operation instruction based on the target gas concentration, and perform alarm operation and fan control based on the operation instruction.

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