1632 results about "Gas leak" patented technology

The invention discloses a chemical safety risk management and control method and system, and relates to the technical field of risk management and control. Comprising the following steps: acquiring climate data of each region in a chemical plant in real time to obtain microclimate information of different regions; deploying a gas sensor to monitor the gas concentration change and calculate the gas leakage rate; combining the climate data and the gas leakage rate, and adopting a computational fluid mechanics method to establish a gas diffusion prediction model; and in combination with the output of the diffusion prediction model, judging the gas leakage risk level of each region, setting different early warning thresholds according to the risk levels, and automatically triggering an early warning mechanism when the set thresholds are reached. The method not only considers climatic factors, but also combines the change of the factory environment, and can update the prediction result of the diffusion path and the potential dangerous area in real time.

The invention discloses an SF6 gas leakage detection method and system based on a photoacoustic spectrum analyzer, and the method comprises the steps: arranging a sampling end to collect an SF6 gas sample, and obtaining stable gas input through constant-current sampling and steady-state pretreatment; steady-state gas is guided into the photoacoustic spectrum analyzer, and resonance frequency stabilization and signal amplification output are achieved through the self-tuning unit; executing double-microphone differential detection and digital filtering processing, and outputting a stable SF6 detection signal with a high signal-to-noise ratio; performing time calibration, abnormity elimination and consistency processing on the detection signal to generate standardized detection data; inputting the standardized data to a Transform model, and performing inversion to generate an SF6 leakage source position and a diffusion path; and displaying an inversion result on a monitoring interface, triggering a sound-light alarm when the inversion result exceeds a limit, and uploading the inversion result to a cloud monitoring platform. According to the invention, the intelligent photoacoustic spectrum system combining photoacoustic-fluid steady-state control and self-tuning detection is constructed, so that high-sensitivity detection and accurate positioning of SF6 gas leakage are realized.

The invention discloses a multi-modal thermal imager intelligent monitoring method based on image processing. The method comprises the following steps: S1, performing dual-band synchronous imaging; s2, carrying out cross-modal image registration; s3, multispectral image fusion: performing smoothing processing on the infrared and visible light images through anisotropic diffusion to obtain a main structure layer image, calculating to obtain an infrared and visible light detail layer image, and linearly combining the detail layer image through PCA principal component weight, and finally, combining the detail layer image and the main structure layer image according to the self-defined weight to obtain a final fusion image. And S4, gas leakage detection is carried out, so that gas leakage detection and early warning can be realized. According to the invention, a gas enhancement algorithm is adopted to realize real-time detection of leaked gas, interference of most background noise can be eliminated, and the real-time performance and reliability of the system are improved.

The invention discloses a box-type energy storage substation operation control method and system, a product and a medium. The method comprises the following steps: collecting gas concentration data in the box-type energy storage substation, comparing the gas concentration data with a preset threshold value, and judging whether gas leakage exists or not; if yes, recording related data, and detecting an insulation resistance value of the electrical contact component; based on the gas concentration data and the leakage time of the leakage area, judging whether a chemical reaction triggering condition is met or not; if yes, inert gas is sprayed to the leakage area; if the insulation resistance value is lower than a safety threshold value, electromagnetic isolation is carried out on the leakage area, and distribution of the electric load to the related energy storage unit is stopped; then, current is applied to the electrical contact component at a preset frequency, and an insulating property value is detected; when the insulating property is restored to within the safe range, the electrical load is redistributed to the leakage region. By implementing the technical scheme, the safety of the fault area after the insulation performance is reduced due to gas leakage in the operation process of the box-type energy storage substation is improved.

The invention relates to the technical field of gas leakage detection, and discloses an infrared imaging radiation correction method and system for gas leakage detection, and the method comprises the steps: obtaining the distribution data of dark current noise, and the mapping relation parameters of an image gray value and a radiation brightness value; acquiring infrared radiation of the gas leakage scene by using an infrared detector to obtain an original infrared image; based on the distribution data of the dark current noise, performing pixel-by-pixel compensation on the original infrared image to generate an infrared image after dark current correction; extracting the radiation intensity distribution of the infrared image after dark current correction, calibrating the radiation value of each pixel in the infrared image based on the mapping relation parameter between the image gray value and the absolute radiation brightness value, converting the image gray value into the absolute radiation brightness value, and generating the infrared image after radiation calibration; and outputting an infrared image after radiometric calibration for subsequent gas leakage area identification and feature analysis. According to the invention, a high-quality and quantifiable radiation quantification image can be output.

The invention relates to a gas leakage early warning method and system for a chemical industry park. The early warning method comprises the following steps: acquiring real-time temperature and pressure data of a reaction kettle area and a storage tank area; obtaining a historical leakage record of a pipeline joint, and determining a diffusion path prediction boundary; extracting a wind direction and a wind speed in a diffusion path prediction boundary, and determining space-time distribution characteristics; analyzing space-time distribution characteristics, determining an overlapping region and setting concentration monitoring nodes; identifying the concentration contribution ratio of the reaction kettle area diffusion characteristic and the storage tank area diffusion characteristic; integrating the operation data of the pipeline joint diffusion characteristics and the loading and unloading area diffusion characteristics, and determining a diffusion path deviation correction coefficient; combining the deviation correction coefficient with the humidity data of the peripheral diffusion characteristics of the cooling tower; and updating diffusion parameters of the separation tower area diffusion characteristics and the public engineering area diffusion characteristics according to a source intensity estimation result. According to the invention, accurate prediction and early warning of gas diffusion in a complex chemical device area are realized, and the safety management level is improved.

A method of operation of an unmanned autonomous vehicle includes autonomously maneuvering the unmanned autonomous vehicle about a facility, collecting gas concentration data using one or more sensors carried on or integrated with the unmanned autonomous vehicle, and monitoring the collected gas concentration data to detect a high concentration due to a gas leak. The method further includes, if a high concentration is detected, estimating a location of the gas leak and maneuvering the unmanned autonomous vehicle toward the estimated location of the gas leak.

The invention discloses a visual gas leakage detection system and method based on a laser spectrum, and relates to the technical field of gas detection visualization. According to the visual gas leakage detection system and method based on the laser spectrum, the method comprises the following steps that 1, gas monitoring data are collected and preprocessed; 2, extracting a characteristic spectrum from the gas monitoring data, obtaining a gas spectrum reduction value, and separating an overlapped absorption spectrum; 3, estimating the diffusion trajectory of the gas, and calculating a gas diffusion coefficient estimation value and a diffusion rate estimation value; outputting a gas concentration estimated value; 4, gas leakage source points are calculated, gas mass tracking is carried out, and different gas leakage sources are separated; and 5, generating a scatter diagram to display gas concentrations at different positions, and marking the position of a leakage source. The problem that a complex multi-gas environment cannot be recognized due to the fact that homogeneity and heterogeneity possibly exist in the same environment due to leakage of different types of gases in the prior art is solved.

The invention provides an inspection robot path optimization method and system based on dynamic obstacle avoidance, and the method comprises the steps: enabling an inspection robot to carry out the multi-layer convolution processing of gas and wind direction data through obtaining the turbulence data of a gas leakage source, the wind direction data of a meteorological station, and environment reflection feature data in real time, and generating a high-precision gas diffusion prediction map, meanwhile, a transparent obstacle optical contour and an unstructured obstacle geometric parameter are extracted from reflection data, and a three-dimensional space mapping relation with a gas diffusion diagram is established. On the basis of the mapping relation and the preset task priority, path control parameters are dynamically generated, global path node distribution is optimized, and the robot path is made to adapt to the composite risk environment of gas concentration sudden change and obstacle movement in real time. According to the invention, the dynamic obstacle avoidance precision and the safety response speed of the inspection robot path in a complex dangerous environment are improved.

The invention discloses an intelligent ground mobile high-precision gas leakage inspection and source tracking system, and relates to the technical field of gas pipe network leakage detection and leakage point positioning analysis. The system is mainly composed of a mobile inspection platform, a mid-infrared laser detection device, a three-dimensional anemograph, an inertial navigation module, a GIS system, a GNSS navigation positioning system, a wireless communication module and an intelligent detection comprehensive platform, and multi-source information fusion calculation, a dynamic adaptive analysis model and a maximum likelihood estimation method are combined. According to the intelligent gas leakage detection system, autonomous inspection can be achieved in a complex environment, abnormal gas component data can be processed in real time, detected gas space-time distribution information is transmitted to an intelligent comprehensive platform through a wireless communication module, data sharing and monitoring are completed, and efficient detection and accurate positioning of gas leakage are achieved. The method is suitable for gas leakage monitoring and component tracking in the fields of urban gas pipe networks, industrial parks and environmental protection, and the efficiency and precision of gas detection are remarkably improved.

The invention relates to the technical field of gas leakage traceability positioning, in particular to a dangerous gas leakage traceability positioning method and system based on artificial intelligence, and the method comprises the steps: data collection: collecting environment parameters and gas concentration data from fixed and mobile sensors, and deploying the fixed sensors at key nodes to monitor gas diffusion; the mobile sensor is carried on the inspection robot or the unmanned aerial vehicle to dynamically fill the dead zone of the fixed sensor; preprocessing the data, and performing denoising, normalization and feature enhancement on the data; feature extraction and selection: extracting key features by using a machine learning algorithm; model training: training a deep neural network model to predict a leakage source position; monitoring and triggering: monitoring data and triggering traceability positioning when the data is abnormal; accurate positioning is carried out, and a leakage source is positioned by using the model and real-time data; intelligent decision making is achieved, and emergency response suggestions and optimization schemes are provided.

A gas leakage detection apparatus may include a movement control unit that controls a movement of a moving object on which a gas sensor is mounted. The gas leakage detection apparatus may include an acquisition unit that acquires a measurement result of target gas that is obtained by a measurement by the gas sensor while the moving object is moving over a target area, and a response time from a start of a measurement of the gas sensor until an output of the measurement result. The gas leakage detection apparatus may include a detection unit that detects a leakage of the target gas in the target area based on the measurement result and the response time. The detection unit may detect the leakage of the target gas in the target area based on the measurement result and location information of the moving object, to identify a gas leakage spot.

The invention discloses a pollution source dynamic tracing method and equipment for industrial park hidden gas leakage. Comprising the following steps: acquiring meteorological monitoring data at each observation point through fixed monitoring equipment and / or mobile monitoring equipment; correcting the coordinates of the observation points; predicting a first gas pollutant predicted concentration corresponding to each observation point after coordinate correction according to a Gaussian plume diffusion model; inputting the first gas pollutant predicted concentration and meteorological monitoring data into a CatBoost model to obtain a second gas pollutant predicted concentration; taking the difference between the actual gas pollutant concentration at each observation point and the second gas pollutant predicted concentration as a target function, and solving the target function to obtain the pollutant source intensity and the source position; completing one iteration; and setting the observation point near the current predicted pollutant source position, and so on, and obtaining the final pollutant source intensity and source position after n iterations.

The invention relates to the technical field of gas leakage detection, in particular to a high-pressure storage tank hydrogen leakage diffusion analysis method which comprises the steps that physical characteristics of hydrogen and interaction between the hydrogen and the environment can be accurately captured by building a physical model, and diffusion processes in different leakage scenes are simulated; the sensors are deployed to monitor key index parameters in real time, so that the real-time performance and reliability of data are ensured, potential leakage events can be quickly responded, and the possibility and consequences of accidents are reduced; by establishing a mapping relation between real-time monitoring data and physical model parameters, the model parameters can be dynamically adjusted according to the real-time data, and an output result is optimized; through quantitative evaluation and risk level classification, corresponding risk early warning signals are generated, potential safety hazards can be found in time, and necessary emergency response measures can be taken. The device is used for solving the technical problems of high-pressure storage tank hydrogen leakage diffusion simulation and real-time monitoring and early warning.

The invention belongs to the technical field of aircraft oil leakage monitoring, and relates to an aircraft oil leakage detection method based on a high-sensitivity mass spectrometry technology, and the method comprises the steps: obtaining a time-resolved mass spectrogram of aviation kerosene molecules in a sample testing stage, and storing the time-resolved mass spectrogram in a database; then oil gas molecules are captured at leakage-prone points of an aircraft pipeline system through a gas collection probe, the captured oil gas molecules are transmitted to an ion source end of a proton transfer reaction mass spectrometer through a negative pressure transmission system to be ionized to generate ions, and the ions are analyzed by a mass analysis system to obtain a mass spectrum; comparing the mass spectrogram obtained by analysis with a time-resolved mass spectrogram in a database, and judging whether leakage occurs or not; based on the method, the problems of insufficient anti-interference capability, difficulty in sample collection and the like of a high-sensitivity mass spectrum oil gas leak detection method can be solved in a targeted manner, and the functions of environmental interference suppression, efficient collection of oil gas molecules, improvement of spatial scanning resolution and the like can be realized at the same time.

The invention relates to an industrial gas tank storage place early warning method and system. The method comprises the following steps: acquiring image time sequence data at least representing temperature field distribution of a target monitoring area, generating a temperature image sequence, determining area temperature change characteristics and tank body surface reflection characteristics in the area, and generating reflection area probability distribution of the target monitoring area to determine initial gas leakage probability data of the target monitoring area; generating baseline feature data at least representing background thermal field distribution of the target monitoring area; and performing association processing on the initial gas leakage probability data and the baseline feature data to generate fusion time sequence features and determine a gas leakage diffusion weight so as to correct the initial gas leakage probability data to obtain corrected gas leakage probability data. By adopting the method, the gas leakage probability can be accurately judged by comprehensively utilizing temperature field time sequence information, tank body surface reflection characteristics and background thermal field distribution characteristics under the condition of a complex background thermal field, so that early warning is realized.

The invention relates to the technical field of gas leakage detection, in particular to a shell airtightness testing system and method, and the system comprises a pressure monitoring module, a gradient feature module, an abnormality screening module, a leakage path module and a sealing evaluation module. According to the method, the equidistant sampling points are set in the structure, the pressure time sequence difference value is extracted, multi-section continuous pressure data are constructed, the detail capturing capability of pressure change is enhanced, high-precision recognition of stable sections is achieved, the change rate difference value of adjacent sections is combined, local abnormal point positions are accurately extracted, the sensitivity of abnormal recognition and the positioning accuracy are improved, and the accuracy of abnormal recognition is improved. Through combination of periodic pressure intensity ratio analysis and path trend judgment, a pressure intensity change path chain with directivity and continuity can be constructed, the sealing state is evaluated according to a path pressure intensity gradient value and an adjacent region gradient difference, an abnormal path section is accurately recognized, local sealing integrity judgment is supported, and shell local leakage recognition efficiency and result analysis depth are improved.

The invention discloses an indoor gas leakage monitoring and intelligent joint control system, and belongs to the technical field of intelligent safety monitoring systems. Comprising a sensing layer, a network layer, a control layer and a platform layer, the sensing layer comprises a multi-sensor array and an edge computing node, the multi-sensor array is combined with a catalytic combustion sensor, an infrared sensor, a semiconductor sensor and a temperature and humidity sensor, and sensor data are fused through a weighting algorithm so as to reduce the false alarm rate; a temperature and humidity sensor dynamically adjusts a detection threshold value to adapt to different climate conditions, and an edge computing node is deployed with a lightweight machine learning model. Through multi-sensor data fusion and a weighting algorithm, the false alarm rate is reduced to be smaller than 0.1% per year, environment self-adaptive calibration and AI auxiliary decision making are performed, interference of alcohol, perfume and the like is effectively eliminated, different climate conditions are adapted, leakage judgment is completed at an equipment end through edge calculation, cloud delay is avoided, a multi-stage emergency strategy is provided, and intelligent safe ecology driven by the Internet of Things is constructed.

The invention discloses a safety valve airtightness detection device, and relates to the technical field of safety valve airtightness detection. Comprising a workbench, a driving box and two limiting bases, a detection device is fixedly arranged on the outer wall of the top of the workbench, and the detection device comprises a bottom plate and a mounting base. A first control block is rotated to drive an adjusting screw rod to rotate in a limiting hole, so that a clamping block slides in a sliding groove, a safety valve is clamped, an inflator arranged on the outer wall of a limiting base is started to inflate the interior of an air bag, the inflator starts to work, external air is inflated into the air bag through an inflation pipe and an inflation connector, and the air continuously enters the air bag, so that the safety valve is closed. The air bag expands gradually and is tightly attached to the periphery of the part, needing to be detected, of the safety valve in the expansion process, the detection area of the safety valve can be effectively sealed, good conditions are created for follow-up precise air tightness detection, detection gas leakage is prevented, and the accuracy of a detection result is ensured.

The invention relates to a gas well annulus gas leakage monitoring method and system. The method comprises the steps that the casing side pressure of an initial leakage point is determined; determining the gas leakage flow of the leakage point; determining a time step length required for generating a single bubble under the gas leakage flow; sampling by taking the time step length as a time interval, and obtaining a gas column volume and a liquid column volume in the annulus protection liquid in the current time step length; determining a target wellhead oil sleeve annulus pressure; the casing side pressure of the target leakage point is determined; if the casing side pressure of the target leakage point is smaller than the pressure in the pipe column at the leakage point, the gas column volume and the liquid column volume are updated and serve as the gas column volume and the liquid column volume of the next time step respectively; and the casing side pressure of the target leakage point is repeatedly obtained till the casing side pressure of the target leakage point is larger than or equal to the pressure in the pipe column at the leakage point, and it is determined that gas leakage in the gas well annulus is stopped. The problem that the leakage point casing side pressure detection result error is large due to the fact that the migration process of leaked gas in a liquid column section is ignored in the detection process is solved.

The invention discloses a leakage gas cloud three-dimensional reconstruction method, and relates to the technical field of gas cloud image processing. According to the leaked gas cloud three-dimensional reconstruction method, through combination of a multispectral image data cube and a pre-trained Yolov5 model, precise identification and analysis of a gas cloud leakage area are realized, through radiation correction and adaptive filtering processing, absorbance data of the gas cloud are extracted and fitted, concentration distribution of each layer of gas cloud is further obtained, and the three-dimensional reconstruction of the leaked gas cloud is realized. By stacking data of each layer and applying a three-dimensional reconstruction algorithm, an accurate gas cloud three-dimensional structure is generated, high-precision spatial distribution information is provided for gas leakage monitoring, the monitoring and response efficiency is remarkably improved, the limitation of a traditional method in the aspects of precision and adaptability is overcome, and by integrating multi-view and multi-band image data, the real-time performance of gas leakage monitoring is improved. The gas cloud leakage area can be identified more accurately, and the gas cloud concentration distribution is accurately obtained through asymmetric Gaussian function fitting, so that the gas leakage monitoring precision is improved.

The invention relates to the technical field of leakage detection, and discloses an SF6 gas pressure early warning method, device and equipment, a storage medium and a program product.The SF6 gas pressure early warning method comprises the steps that for target electrical equipment, environment temperature data of the environment where the target electrical equipment is located is used for conducting environment compensation on measured pressure data of SF6 gas, and compensation pressure data is obtained; calculating a corrected pressure change rate based on the compensated pressure data at the plurality of moments; if the compensation pressure data at the current moment does not meet the pressure standard and / or the correction pressure change rate at the current moment does not meet the change rate standard, feature matching is carried out based on the data set at the current moment and the data set at the historical moment, and a target data set meeting the matching range is determined from the data set at the historical moment, taking the SF6 gas leakage condition at the historical moment corresponding to the target data set as the SF6 gas leakage condition at the current moment; and performing early warning based on the SF6 gas leakage condition at the current moment. According to the invention, the accuracy of SF6 gas early warning can be improved.

The invention relates to the technical field of digital twinning, and discloses a gas leakage accurate early warning method and system based on digital twinning. The method comprises the following steps: generating a digital twinborn model of a target area based on three-dimensional point cloud data of the target area; a first spatial position of each target object in the target area is acquired, each target object comprises a plurality of target parts, and a second spatial position of each target part is identified; judging whether gas leakage occurs in a surrounding preset range, if so, acquiring shape information of the gas, identifying a gas leakage source based on the shape information, determining a third spatial position of the gas leakage source, and mapping the first spatial position, the second spatial position and the third spatial position into a digital twin model; and establishing a gas diffusion model, simulating a diffusion path of gas leakage based on the environmental data of the target area, and superposing the diffusion path to the digital twinborn model to form a visual diffusion path, so that the accuracy of gas leakage source position identification can be improved.

The invention relates to the technical field of dangerous odor source leakage positioning, and discloses an odor source positioning research method based on spiral flight and a self-adaptive fruit fly mechanism, comprising the following steps: S1, initializing various parameters and population number; s2, using tent chaotic mapping to initialize a fruit fly group position and a current fruit fly individual concentration smelli; the smell source positioning research method based on the spiral flight and the self-adaptive fruit fly mechanism is based on a fruit fly optimization algorithm, an advanced learning strategy is fused, the speed and accuracy of a mobile robot for positioning a smell source are improved, through the new strategy, the robot can quickly respond to potential gas leakage and accurately position a leakage source, and the safety of the robot is improved. Therefore, measures are taken in time, possible fire or explosion accidents are prevented, personnel safety is protected, economic losses are reduced, and the safety and reliability of industrial production are greatly improved.

The invention belongs to the technical field of tunnel catastrophe, and particularly relates to an intelligent feedback type tunnel catastrophe monitoring method, which comprises the following steps of: 1, deploying a tunnel monitoring system; a temperature sensor, a smoke sensor, an air velocity sensor and a gas concentration sensor are arranged in the tunnel; the temperature sensor is used for monitoring temperature changes in the tunnel. According to the intelligent feedback type tunnel catastrophe monitoring method, the safety and the emergency response capability of the tunnel are effectively improved through real-time data monitoring and analysis and an automatic control mechanism. Firstly, through temperature, smoke, gas concentration and air velocity sensors, the system can detect and identify potential catastrophe risks in a tunnel in time, such as fire, smoke diffusion and harmful gas leakage. Once an abnormality occurs, the system performs catastrophe prediction through an algorithm model, and performs accurate evaluation on a fire propagation path and smoke diffusion in combination with a simulation analysis result, thereby providing reliable data support for quick response.

The invention discloses a gas leakage detection method, a program product and equipment. The method comprises the following steps: acquiring a current scene image in a monitoring scene; obtaining a target gas type in the monitoring scene, wherein the target gas type is a type divided according to the gas temperature; and determining a target gas area in the current scene image based on the target gas type. The invention relates to the technical field of gas detection, and can improve the precision of gas detection.

A method and an unmanned aerial vehicle for identifying and remediating a gas leak. The method includes flying the unmanned aerial vehicle towards a possible location of the gas leak, then detecting a first condition indicative of the gas leak with a first sensor and sensing environmental conditions near the gas leak with an environmental sensor. The method includes receiving, by a controller, a signal representing the first condition indicative of the gas leak and a signal representing the environmental conditions. The method includes determining, based on the first condition indicative of the gas leak and the environmental conditions near the gas leak, a flight plan including an ignition zone. The method includes positioning, based on the flight plan, the unmanned aerial vehicle relative to the ignition zone and discharging, by an ignition mechanism, an ignition source into the gas leak to ignite the gas leak.

The invention discloses an infrared calibration temperature measurement method based on a multi-component insulating gas multispectral imaging device, belongs to the technical field of electric power safety detection, and solves the problem of how to improve the temperature measurement precision of electric power equipment. The non-uniformity correction calibrates the response and bias of each pixel to the same numerical value, the temperature correction eliminates the influence of the lens temperature and the movement temperature on the received electric signal, the shading shutter correction ensures the accuracy and consistency of the shutter or the shading system, the radiation calibration is adopted to convert the measured blackbody voltage value into the temperature value, and the temperature value is converted into the temperature value. The real temperature of the surface of the detected electrical equipment is calculated by combining the temperature value after radiometric calibration conversion, the influence of the atmospheric environment on temperature measurement is eliminated, and the temperature measurement function of the electrical equipment based on an infrared multispectral imaging detector for insulating gas leakage in a complex environment can be realized. And a foundation is laid for further forming portable power multifunctional monitoring.

The invention relates to the technical field of gas sensing detection, and discloses a gas detection method and system based on a quartz tuning fork enhanced photoacoustic spectrum. The method comprises the following steps: constructing a standardized continuous tuning fork signal data stream; dynamically segmenting the data stream based on the gas concentration interval, and extracting time domain and frequency domain features in parallel in each segment to form an initial feature vector; dynamically adjusting an anomaly judgment threshold according to the jump amplitude of the adjacent segment feature vectors, and scanning and screening out an effective analysis interval of a stable concentration state according to the anomaly judgment threshold; performing cross-domain coupling compensation on the feature vectors in the effective interval to generate enhanced feature vectors; and finally, performing reverse traceability reasoning through a gas leakage propagation model based on the enhanced feature vector, and outputting a leakage source position identifier. The device can adapt to a dynamically changing concentration field, and the reliability and traceability positioning capability of gas detection in a complex environment are improved.

The invention relates to the technical field of gas detection, and relates to an optimization method and system for SF6 gas detection in a multi-temperature environment, and the optimization method comprises the steps: obtaining dual-band infrared images of a scene to be detected at the same time, the dual-band infrared images comprising a detection band infrared image and a reference band infrared image; preprocessing the dual-band infrared image; performing registration processing on the preprocessed dual-band infrared image; performing differential operation on the registered dual-band infrared image to obtain a differential image; and determining a dynamic segmentation threshold according to the current environment temperature, and performing threshold segmentation on the differential image according to the dynamic segmentation threshold so as to identify the SF6 gas leakage area. According to the optimization method and the optimization system, the dynamic segmentation threshold value is determined according to the current environment temperature, the problem that the detection performance of a fixed threshold value is reduced due to background radiation changes at different environment temperatures can be solved, and stable and reliable detection sensitivity can be kept within a wide temperature range.