41results about How to "Quick Disposal" patented technology

The invention discloses an AI-based linkage response and control system, belongs to the technical field of safety monitoring, and aims at solving the problems of comprehensive and real-time acquisition, accurate analysis, timely early warning and decision making of environmental data so as to realize early warning and quick response of a fire disaster. The system comprises a data acquisition module, an AI analysis module, an AI identification module, an AI decision module and an execution terminal robot. The data acquisition module is used for acquiring environmental data of a monitoring sensor and a monitoring camera in a target scene; the AI analysis module is used for processing and analyzing the environmental data acquired by the monitoring sensor and outputting a sensor abnormal area; the AI identification module is used for analyzing an environment video stream acquired by the monitoring camera in real time and outputting a camera abnormal area; the AI decision module is used for further evaluating the abnormal region and dividing abnormal levels; and the execution terminal robot is used for performing real-time response and control on the abnormal area in the control room according to the abnormal level.

The invention relates to a high-voltage cable intelligent inspection method and system based on multimode identification, and the method comprises the steps: deploying an intelligent identifier and cable monitoring equipment according to the equipment characteristics and environmental conditions in a high-voltage cable line; reading identification data of the intelligent identification through a double-frequency reading device, and collecting cable state monitoring data through a cable monitoring device; the information is uploaded to the Internet of Things cloud platform; carrying out fusion analysis on the received data in the cloud platform, evaluating the health condition of the cable in combination with a historical record and a fault recognition model, and generating an inspection result; and displaying the inspection result through the intelligent monitoring center, calculating the risk score of each device according to the identification data, the cable state monitoring data and the fault risk prediction result, and dynamically adjusting the optimal inspection route and the inspection frequency. Compared with the prior art, unique identification and multi-dimensional information storage of the cable and accessory equipment of the cable are achieved, and the fineness and comprehensiveness of cable operation state monitoring are improved.

The invention discloses a system based on an unattended power station platform. The system comprises a system architecture module, an information processing module and an operation module. The system architecture is divided into four areas, the safety area III is an overall architecture construction area, hardware is deployed in the safety area III based on a J2EE technical system, and the safety area III covers the functions of model management and the like. And the information processing module stores and reads the alarm data by adopting a Kafka message queue technology, and acquires the in-station real-time alarm data by using a 104 scheduling protocol. The running operation module is provided with a home page submodule for displaying key data and alarm and event information of a power station; the basic data management sub-module manages roles, users, an equipment library and a point table information library; the signal identification sub-module classifies the signals and constructs a working condition signal reference library; the event handling sub-module displays and handles emergency events and integrates experience; and the report management sub-module realizes unified generation and management of reports. The system aims at solving the problem in unattended transformation of the power station and improving the operation efficiency and safety.

The invention provides a rapid in-situ monitoring system for VOCs pollution in underground water and soil gas of a polluted site, and belongs to the technical field of environment monitoring. Comprising a first collection module for collecting VOCs samples in underground water, a second collection module for collecting VOCs samples in soil gas, a collection module connected with the first collection module and the second collection module, an analysis monitoring module connected with the collection module, and a central processing module. VOCs samples in underground water are collected through the first collection module, VOCs samples in soil gas are collected through the second collection module, the collected VOCs samples are collected and stored through the collection module, the concentration and components of the VOCs samples in the collection module are monitored through the analysis monitoring module, and the whole system is arranged near a polluted site. And rapid in-situ monitoring of VOCs pollution in underground water and soil gas of a polluted site can be realized.

An intelligent associated hydropower station one-stop cockpit comprehensive management and control method realizes efficient comprehensive management and control of a hydropower station through four methods of exception handling comprehensive information management, cockpit large-screen information flow switching, large-screen switching page management and control and multi-source data fusion. According to the exception handling comprehensive information management method, exception handling cards are managed through a dynamic configuration algorithm, and quick response and accurate handling are ensured; according to the cockpit large-screen information flow switching method, a flexible display mode is supported through stable network connection and safe video flow transmission; according to the large-screen switching page management and control method, timely transmission of key information is ensured through real-time monitoring and an intelligent screen switching strategy; according to the multi-source data fusion method, comprehensive management and fine control of data are realized through combination of a real-time database and a historical database. Through the construction and management of the five databases, the fine management and automatic control capability of the playing content is further improved, and the efficient operation and safety of the system are ensured.

The invention discloses a power industry network security collaborative defense system based on a threat hunting technology, and particularly relates to the technical field of network security defense, and constructs a threat intelligence defense model comprising a threat intelligence sharing platform, a multi-layer defense architecture building unit, a network attack behavior analysis unit and a risk visual display unit. Security log information in a power system is collected and analyzed in real time, potential network security threats are found in time, and early warning is automatically given out. Acquiring network security threat information by building a threat intelligence sharing platform and a multi-layer defense architecture building unit; therefore, rich intelligence resources are provided for the risk visualization display unit, the risk visualization display unit can identify and analyze potential threats more accurately, quick response and effective disposal of the threats are achieved by establishing a linkage response mechanism among the hierarchies, and the risk visualization display unit is more efficient. The problem that in the prior art, a power industry network security cooperative defense system cannot provide perfect network security threat information is solved.

The invention provides an infrastructure multi-source heterogeneous data fusion security situation holographic sensing control method. The method comprises the following steps: acquiring risk fault information of infrastructures in a target area; performing data cleaning and verification processing on the risk fault information of the infrastructure, and performing data correction on the risk fault information; in combination with a pre-constructed knowledge base, performing security situation awareness on the risk fault information of the infrastructure, and generating a plurality of decision-making schemes; and performing evaluation verification and scheme optimization on the decision scheme, and determining a target scheme for the risk fault information of the infrastructure. According to the invention, safe and stable operation of urban underground infrastructures can be effectively guaranteed, and the problem of insufficient sensing capability of the existing security situation sensing system is solved.

This invention relates to a vacuum extractor that improves extraction performance through a vacuum treatment unit, which improves extraction performance by recovering extracts contained in the air drawn in when a vacuum is generated. The vacuum extractor includes: an extraction chamber for extracting extracts from a raw material using a solvent; a chamber heating unit for heating the extraction chamber with a heat medium to improve extraction performance by heating the raw material; and a vacuum treatment unit for generating a vacuum in the extraction chamber to facilitate extraction of the extract from the raw material, while simultaneously recovering the extracts contained in the drawn-in air using a vacuum pump. The vacuum treatment unit includes: a first cooler for cooling the air and recovering the extracts when a vacuum is generated in the extraction chamber using a vacuum pump; a cyclone tank for generating a cyclone and recovering the extracts contained in the air passing through the first cooler; a second cooler for further cooling the extracts contained in the air passing through the cyclone tank and recovering the extracts; and a recovery tank for storing the extracts recovered from the second cooler.

The application provides a method, system, device, equipment and program product for predicting the progression of tension pneumothorax, the method is based on computer and comprises the following steps: obtaining POCUS affected partition count data of a to-be-tested sample; performing classification prediction based on the POCUS affected partition count data to obtain a classification result of the risk level of the to-be-tested sample in terms of the occurrence of cycle collapse of tension pneumothorax; if the POCUS affected partition count data of the to-be-tested sample is greater than or equal to 4, the classification result of the high risk of the to-be-tested sample in terms of the occurrence of cycle collapse of tension pneumothorax is obtained; and if the POCUS affected partition count data of the to-be-tested sample is less than 4, the classification result of the low risk of the to-be-tested sample in terms of the occurrence of cycle collapse of tension pneumothorax is obtained.

The invention discloses a transmitter system based on multi-sensor fusion and edge AI and a self-diagnosis method, and belongs to the technical field of industrial process control instruments, and an industrial intelligent transmitter system comprises a multi-sensor unit, a signal acquisition unit, a microcontroller, an AI coprocessor and a dual-mode communication unit. The multiple sensing units are used for synchronously collecting original data; the signal acquisition unit is used for converting original data into digital signals; the microcontroller is used for processing the digital signal and carrying out environment adaptive compensation to obtain compensated sensor data; the AI coprocessor is used for performing feature extraction and fault probability reasoning on the compensated sensor data to realize real-time self-diagnosis; and the dual-mode communication unit is used for transmitting the compensated process control signal and diagnosis information in different channels. The system has the functions of environment adaptive compensation, real-time self-diagnosis and the like, and the problems of parameter drift and fault response delay in an industrial environment are remarkably improved.

The invention belongs to the technical field of wind power equipment operation and maintenance, and discloses a wind power equipment fault early warning method based on edge calculation. The method comprises the following steps: acquiring vibration, temperature and current parameter operation data through a wind power equipment sensor, generating an original data sequence, and preprocessing to obtain a preliminary feature set; the time sequence gradient of each parameter is analyzed and calculated through a time sequence, and a parameter change rate sequence is obtained through optimization of a gradient descent algorithm. When the sequence exceeds a threshold value, a stable change trend is obtained through sliding window smoothing, and anomaly classification and risk grading are completed in combination with a historical working condition database and a support vector machine. And starting deep analysis according to an edge node resource state, constructing a fine prediction model to generate an early warning signal containing a fault probability and occurrence time, matching a risk level to activate a local response, and outputting an alarm. According to the invention, through edge localization processing and multi-algorithm cooperation, accurate pre-judgment of faults is realized, and the operation and maintenance response efficiency and early warning accuracy of wind power equipment are improved.

The application provides a green, low-carbon and rapid chromium-containing wastewater treatment method, which is improved on the basis of traditional biogas residue and ferrous sulfate treatment of chromium-containing wastewater, introduces short-term micro-aeration technology, and produces unexpected results, which not only treats the chromium-containing wastewater in a green and low-carbon way, but also greatly speeds up the reaction progress. In the process, a certain thickness of biogas residue sediment layer is formed in the biochemical reaction tank, then ferrous sulfate is added, then chromium-containing wastewater and biogas liquid are added, and after standing for a period of time, micro-aeration is carried out, which accelerates the biochemical reduction of Cr(VI) in the chromium-containing wastewater, promotes the activity of microorganisms, and saves resources.

The embodiment of the utility model relates to the technical field of aviation simulation training equipment, in particular to an aircraft landing gear fire-fighting and fire-extinguishing training device which comprises a landing gear, tires arranged on the landing gear and an ignition simulation mechanism. The ignition simulation mechanism comprises an ignition simulation assembly and a fuming simulation assembly, the ignition simulation assembly is arranged in the tire, and the fuming simulation assembly is arranged beside the undercarriage. According to the utility model, the real fire burning state of the aircraft landing gear in the fire extinguishing training can be simulated, so that the training effect of rapidly disposing the fire behavior of the aircraft landing gear by airport firefighters can be greatly improved.

The invention relates to the technical field of monitoring, in particular to an intelligent monitoring method and system for residential area security. According to the technical scheme, the method comprises the following steps that identity information of a visitor is obtained and verified, a visitor information file is established after verification is passed, and an activity permission area is distributed; monitoring data are collected and preprocessed, and monitoring information data and visitor position information are obtained. Dangerous action recognition is performed on the monitoring information data, and danger recognition factors are obtained in combination with the position information of the visitor. And judging whether the danger identification factor is greater than a preset standard factor, if so, sending an alarm signal, and if not, not sending the alarm signal. The dangerous action recognition precision is high, the recognition accuracy is higher, the response speed is higher, and potential safety hazards can be found in time. Excessive manual intervention is not needed, the labor cost is effectively reduced, careless omission of manual guarding is avoided, and the intelligent level of security work of the residential area is improved.

The application relates to the technical field of electric digital data processing, and particularly discloses a product information risk assessment method and system based on a large model, which comprises the following steps: simultaneously scanning source code and products by a scanner to generate a source dependency list and a product component list, performing main name normalization and alignment through a large model, locking a warehouse and a version according to the source dependency list, analyzing original code by a parser to generate a cross-language path logic group, combining the product component list to correct a real package version, converging into a unified intermediate representation, performing reachability and joint analysis on the unified intermediate representation to obtain a risk candidate path set and complete path scoring, finally, according to a preset weight and a running period evidence, modifying the score, screening out a risk path, matching a disposal strategy, and generating executable strategy code by the large model for risk control of a gateway or a service side.

The application discloses a kind of industrial production safety early warning analysis methods for multi-modal data, belong to industrial production safety monitoring technical field.S1, numerical text, audio and video, time series multi-modal data in industrial production are preprocessed, and unified format multi-modal feature data are obtained;S2, the data obtained in S1 are executed time, space, semantic alignment processing, and the fusion multi-modal feature data of space-time semantic consistency are obtained;S3, the data obtained in S2 are integrated processing of neural symbolization data, and integrated feature vector is output;S4, multi-model collaborative early warning analysis is carried out based on integrated feature vector, and the final early warning conclusion is generated;S5, four-level early warning grading response operation is executed;S6, dynamic optimization is carried out by comparing early warning result and actual disposal effect, and model parameters and strategy are updated.The above method is used, multi-modal data are fused, early warning is accurate, response is fast, adaptability is strong, can be dynamically optimized, and industrial production safety is comprehensively guaranteed.

The present invention discloses a linkage response and control system based on AI, which belongs to the field of security monitoring technology and aims to solve the comprehensive and real-time collection, accurate analysis, timely warning and decision-making of environmental data to achieve early warning and rapid response of fire. It includes a data acquisition module, an AI analysis module, an AI recognition module, an AI decision module and an execution terminal robot; the data acquisition module is used to collect environmental data of monitoring sensors and surveillance cameras in the target scene; the AI ​​analysis module is used to process and analyze the environmental data obtained by the monitoring sensor, and output the sensor abnormal area; the AI ​​recognition module is used to perform real-time analysis on the environmental video stream obtained by the surveillance camera, and output the camera abnormal area; the AI ​​decision module is used to further evaluate the abnormal area and divide the abnormal level; the execution terminal robot is used to respond and control the abnormal area in the control room in real time according to the abnormal level.

The invention discloses a 10kV line spray-type fast-curing conductive paste, which is based on a conductive composite material of graphene and polymer, and is prepared into a polymer compound with special functional groups by using organic carriers such as dimethylacetamide, synthetic grease, silicone oil, ethylene glycol butyl ether, ethyl cellulose, polyimide resin, epoxy resin and graphene (particle size is 20-35 nanometers respectively). It is a conductive paste with fast curing, sprayability, strong adhesion, large diameter-thickness ratio and excellent mechanical properties. It can replace the previous power outage maintenance and fault elimination method, and quickly and efficiently handle heating defects through live long-distance spraying or close-range smearing, reduce distribution network power outages, increase supply and reduce outages, and effectively ensure the safety of live workers in heating and fault elimination.

The invention relates to a traffic accident information networking rapid processing method, system and device and a medium, and belongs to the technical field of information transmission, and the traffic accident information networking rapid processing method comprises the following steps: constructing a vehicle machine access standardized unified interface; the acquired traffic accident information is transmitted to an ICC vehicle machine domain control processing module through the vehicle machine access standardization unified interface; transmitting the traffic accident information received by the ICC vehicle machine domain control processing module to a cloud platform through a T-BOX module; and the traffic accident information is transmitted to a traffic accident processing monitoring system through the cloud platform so as to realize rapid traffic accident processing. Standardized unified interfaces are added between original system modules, accident information is transmitted to the cloud platform in real time, modification of the existing modules is small, the application range is wide, benefits created for users are large, traffic accidents can be rapidly handled, and meanwhile the difficulty degree of responsibility judgment of the traffic accidents is reduced.

The application relates to the technical field of pressure reducing valves, and discloses a pressure reducer for natural gas, which comprises a valve body, a visual warning mechanism fixedly connected to the low-pressure end of the valve body, a locking mechanism arranged on the outer portion of the valve body, and sound warning mechanisms arranged on the upper and lower sides of the visual warning mechanism. The visual warning mechanism is used for issuing a visual alarm when the temperature is too high or too low, the locking mechanism is used for keeping the visual alarm state and needs to be manually released, and the sound warning mechanisms can issue sound alarms when the temperature is too high or too low and can be released along with the manual release of the locking mechanism. Through the linkage of the visual warning mechanism and the sound warning mechanisms, visual and sound warnings can be issued when the temperature of the pressure reducer is too high or too low, timely warnings can be issued before low-temperature ice blocking occurs and high-temperature tempering risks appear, operation and maintenance personnel can quickly dispose, and the safety hidden danger during the use of the natural gas pressure reducer is reduced.

The invention provides an electric power engineering acceptance quality gate and construction progress plan association management system and method and electronic equipment, and the method comprises the steps: building a unified data model to get through a data source of a quality gate and a progress plan, and achieving the structural association of two types of data; automatically generating a three-level progress plan based on the quality gate division data, and establishing a dynamic mapping rule of the quality gate and a progress key node; monitoring a quality acceptance status and progress execution data in real time, and dynamically adjusting an association relationship and a progress plan through a built-in algorithm; when early warning is triggered, an analysis report containing cost estimation and rectification suggestions is generated, and rectification closed-loop management of cross-terminal collaboration and block chain evidence storage is supported. According to the method, the problems of independence of quality and progress systems, non-communication of information and low collaboration efficiency in traditional electric power engineering are solved, collaborative management of quality data driven progress and progress change linkage quality is realized, and project management efficiency and risk predictability are improved.

The invention discloses an unmanned aerial vehicle high-precision locking striking method under a complex background, and belongs to the technical field of unmanned aerial vehicle striking. The method specifically comprises the following steps: S1, obtaining an unmanned aerial vehicle target, S2, inputting a target slice obtained in S1 into a weak point extraction network, if a weak point coordinate is successfully extracted, selecting a coordinate with the maximum confidence coefficient as a strike point, and if the weak point coordinate is not successfully extracted, determining that extraction fails, and re-operating a target detection algorithm to obtain a new target slice; the high-precision locking and striking method for the unmanned aerial vehicle under the complex background has the advantages that the unmanned aerial vehicle target can be intelligently locked at high precision under the complex background, and the target unmanned aerial vehicle striking efficiency can be improved, so that the high-precision locking and striking method for the unmanned aerial vehicle under the complex background can be improved, and the high-precision locking and striking method for the unmanned aerial vehicle under the complex background can be applied to the unmanned aerial vehicle. The comprehensive treatment effect of the laser damage system can be improved.

The invention discloses an explosion-proof grounding resistance on-line monitoring system and device, and relates to the technical field of grounding resistance monitoring. Comprising a grounding loop, a resistance monitoring device and an intelligent control platform, wherein the grounding loop is formed by a metal grounding electrode, a connecting conductor and to-be-protected equipment; the resistance monitoring device obtains a real-time resistance value of the loop, so that the resistance fluctuation state in unit time is monitored on line in a full-dimension manner; and the intelligent control platform communicates with the resistance monitoring device through a local area network, and transmits the resistance value of the grounding loop to the intelligent control platform for monitoring and displaying. According to the invention, a full-chain digital intelligent lightning safety protection comprehensive solution covering sensing, transmission, analysis, decision making and disposal is created, grounding system detection normalization is realized, a traditional lightning protection grounding system monitoring mode is promoted to be transformed and upgraded to be intelligent, the lightning protection and disaster reduction working level is improved, and lightning protection is transformed from passive protection to active defense.

The application discloses a method for tracking and detecting abnormality of secret-involved carriers based on deep learning, and belongs to the technical field of information security, and comprises the following steps: periodically acquiring trajectories corresponding to each secret-involved carrier, comparing the trajectories with secret-keeping rules in a rule base, and determining abnormal operation; calculating and acquiring a comprehensive risk level corresponding to each trajectory, and determining whether the operation corresponding to the trajectory is abnormal operation, and marking abnormal operation samples and normal operation samples; according to the type of the secret-involved carrier, statistically grouping each abnormal operation sample and normal operation sample, and updating the secret-keeping rules in the rule base based on the comparison result; the application automatically identifies new attack trajectories by analyzing the similarity between the abnormal operation samples and the secret-keeping rules, and expands or adds rules based on the output target, so that the rule base dynamically evolves, and the system protection coverage range and adaptability are continuously improved.

The utility model provides a tool for quickly adjusting the height of a wagon coupler, which provides guarantee for operators to carry the tool to quickly arrive at a site, timely and standardly dispose faults and quickly open a transportation line. The tool comprises a screw jack, a telescopic sleeve assembly and a base, the telescopic sleeve assembly is of a height-adjustable structure composed of an inner cylinder and an outer cylinder, and a safety pin is arranged for height fixation; the screw jack is welded and fixed to the top of the inner cylinder, and the base is installed at the bottom of the outer cylinder through quick connection. The lower part of the product adopts a sleeve combination design, the safety pin is inserted after the inner cylinder is directly pulled out by a proper height during use, the first-stage height adjustment is realized, and then the screw jack at the upper part is used for jacking a car coupler and then performing fine adjustment, so that faults can be quickly handled, and a transportation line can be quickly opened.

According to the storage device based on the container configuration, on the basis of the standard reference box configuration, secondary design is carried out, the structural units are formed, the structural units are subjected to parallel expansion and then subjected to series expansion, a storage structure which is large in space and can be flexibly expanded is formed, and in combination with the environment requirement needed by product storage, the storage structure can be flexibly expanded; a temperature and humidity guarantee system, a lighting system, a ventilation system, a door opening and closing monitoring system, an alarm system, a control system, a supporting structure, a power supply and distribution system, a product grounding and lightning protection grounding system, a fire protection and security system and other conditions are configured in the surrounding area where the storage structure is placed, and finally the storage device based on the container configuration is formed. The device is used for storing products. Compared with a method for building a storeroom for product storage, the method has the advantages that rapid new building, extension or dismantling can be achieved, and the problem that the storage capacity is insufficient due to short-time overstock caused by unsmooth product flow can be effectively solved.

The invention relates to the technical field of traffic control, in particular to a second-hand car market mixed flow traffic control method and system based on multi-target recognition. The method comprises the following steps: in response to an activation signal of a barrier gate triggering device, collecting multi-dimensional identification original data of vehicles passing through a barrier gate of a second-hand vehicle market through a multi-source identification device; performing cross-device data calibration processing on the multi-dimensional recognition original data, performing feature matching, and generating a vehicle identity recognition result and an identity confidence coefficient parameter; according to the vehicle identity recognition result and the identity confidence coefficient parameter, a dynamic passing strategy engine is called to generate a vehicle passing permission evaluation result and a strategy adaptation coefficient; and generating vehicle passing state record data according to the passing authority evaluation result and the strategy adaptation coefficient, performing classification analysis, generating an intervention processing work order, and feeding back the intervention processing work order to the system optimization module for iteratively updating the identification model and the passing strategy. The barrier gate passing efficiency of the second-hand car market can be greatly improved.

The present application relates to the field of network security technology, and discloses an attacker threat scoring method and related devices. The present application determines the prior knowledge threat score of the attack source by using the intelligence threat score of the attack source determined by the intelligence type of the attack event hit and the honeypot threat score of the attack source determined by the hit situation of the attacker alarm information provided by the honeypot; then determines the attack information threat score of the attack source based on the number of attack events, the number of attack chain stages, the attack chain stage level, the attack event threat level, the confidence of the attack event, the attack result, the asset status of the attack target, the attack directionality and other dimensional information; finally, determines the attacker threat score of the attack source based on the prior knowledge threat score and the attack information threat score, accurately evaluates the attacker from more dimensions, can improve the accuracy of the attacker threat score, so that users can quickly discover high threat sources and quickly deal with them, and improve security protection capabilities.

The present invention belongs to the technical field of industrial automation. The present invention discloses an intelligent control method for double closed-loop of paste filling concentration and flow rate of iron tailings, including: determining the reference resistance characteristic parameters according to pipeline parameters and paste physical properties, and setting the target intervals of concentration and flow rate; collecting the real-time concentration and flow rate values, comparing with the target intervals to determine the coupling interference level; selecting the main and secondary adjustment parameters according to the coupling interference level, determining the adjustment priority order and following time sequence, and generating a cooperative adjustment instruction; inputting the instruction into the closed-loop control channels of concentration and flow rate to execute the adjustment, setting an interlock protection to limit simultaneous large-scale adjustment; monitoring the pipeline pressure and the end flow rate, switching to an emergency dredging mode in case of abnormality, and entering a new round of control cycle after recovery; ensuring the continuous and stable operation of the filling system.

The utility model discloses a leaking stoppage device for a pipeline flange, and relates to the technical field of flange leaking stoppage. Comprising a fastening belt, the fastening belt is bound to the outer surface of a flange, a rectangular box is fixedly installed on the rear side face of the left side end of the fastening belt, the right side end of the fastening belt is movably inserted into the rectangular box, a pressing mechanism is fixedly installed in the rectangular box, and a one-way liquid inlet valve is fixedly installed on the front side wall of the fastening belt; a rectangular block is fixedly installed on the outer surface of the one-way liquid inlet valve and fixedly connected with the front side face of the fastening belt, and clamping mechanisms are arranged on the upper side face and the lower side face of the rectangular block correspondingly. The leakage stopping device is easy and rapid to manufacture, suitable for flanges of various sizes, high in universality, free of customization aiming at leakage flanges, capable of reducing cost of leakage stopping clamps, simple in installation process, capable of saving operation time and not related to special fire operation, leakage points can be rapidly handled and completed, leakage and fire catching risks in the operation process are reduced, and the working efficiency is improved. And safe and stable operation of a production device is ensured.