469results about How to "Realize automated detection" patented technology

The invention relates to the technical field of financial data processing, in particular to a data processing method and system based on financial information bills. The data processing method comprises the following steps: acquiring multi-modal financial information bill data; and performing bill modal decomposition on the multi-modal financial information bill data to generate financial information bill modal decomposition data. Bond information price income prediction needs a large amount of financial data, such as market interest rate, bond expiration date, face interest rate and the like, the data are similar to the data form of bill modal decomposition, and a more accurate model can be obtained through standardization and feature extraction of multi-modal data. Therefore, valuable input is provided for bond price and income prediction. According to the invention, through multi-modal data fusion, counterfeited feature comparison modeling, abnormal bill clustering analysis and dynamic risk assessment, the security and accuracy of financial bill identification are improved.

The invention discloses a method for identifying and counting multiphase flow bubbles based on improved YOLOv8. The method comprises the following steps: acquiring a multiphase flow bubble image data set; dividing the multiphase flow bubble image data set into a training set and a verification set; yOLOv8 is improved to obtain an improved YOLOv8 network model, a counting module is added in the improved YOLOv8 network model, and a multiphase flow bubble recognition and counting model based on the improved YOLOv8 is obtained; training through the training set to obtain an optimal bubble recognition and counting model; and performing performance evaluation on the optimal bubble identification and counting model through the verification set, and when the performance evaluation is passed, performing identification and counting of multiphase flow bubbles through the optimal bubble identification and counting model. According to the method, under the condition that the model parameter quantity and the calculation quantity are greatly reduced, the bubble detection effect with high operation precision and high speed can be achieved, and equipment deployment and application are more convenient.

The invention relates to the technical field of fermentation, in particular to a dough fermentation temperature control device which comprises a fermentation box, a heating device, a cooling device, a rotating shaft, a dough bearing disc and a dough elasticity detection device. Judging whether the initial heating power of the heating device needs to be adjusted according to the fermentation temperature rise slope comparison result to obtain second heating power; according to the fermentation temperature comparison result, whether a cooling device is started or the current fermentation dough temperature is detected or the fermentation dough continues to be heated with second heating power is judged; judging whether the volume of the fermented dough needs to be detected or not according to the fermentation temperature comparison result; and adjusting the second heating power according to the volume growth curve comparison result to obtain second constant heating power. By measuring the temperature, the volume and the elasticity of the dough, the fermentation temperature in the fermentation process is adjusted, so that the dough fermentation accuracy is ensured.

The invention relates to the technical field of food quality management, in particular to a rapid detection method and kit for sulfur dioxide in preserved fruits based on a colloidal gold immunochromatography technology. According to the principle that malachite green MG can be rapidly detected by a malachite green colloidal gold immunochromatography detection card, sulfur dioxide or sulfite can be subjected to addition reaction with MG, and a product cannot be detected by the malachite green colloidal gold immunochromatography detection card, a reverse relationship between the content of sulfur dioxide in a sample and the residual amount of malachite green is obtained; mG is added into a preserved fruit sample extracting solution, after reaction, the malachite green colloidal gold immunochromatography detection card is used for detecting residual MG in a to-be-detected solution, so that sulfur dioxide in a preserved fruit sample is rapidly detected by using an immunochromatography colloidal gold detection method, and the kit disclosed by the invention is obtained based on the immunochromatography colloidal gold detection method. The method solves the technical problems that a colorimetric method is easily influenced by the clarification and transparency degree of sample liquid and background color, the sample treatment speed is low and the like.

The invention discloses a device for detecting firmware tampering vulnerabilities based on a static analysis technology, and belongs to the field of information security. The system specifically comprises a firmware updating security detection module and a verification algorithm security detection module. When one piece of firmware is detected, firstly, the firmware is unpacked by using an unpacking layer of the firmware update security detection module to obtain a file system input analysis layer, and an input source function and a firmware update function of the device for receiving user data through an HTTP protocol are found. Path exploration is carried out through symbolic execution and taint analysis, and when Source is reachable to Sink, a data link from an input source function to a firmware updating function is found; variable constraints are collected in the path exploration process, constraint analysis is carried out, whether control variables can be influenced by taint variables controlled by a user or not is judged, and finally a detection result report is generated. And the verification algorithm security detection module is used for identifying the type of the file verification algorithm. According to the invention, the detection efficiency is improved, and the labor cost of detection is reduced.

The invention discloses a lithium ion battery diaphragm performance automatic detection device and a detection method thereof.The detection device comprises a feeding mechanism and a detection module, and the detection module comprises a thickness detection unit, a gram weight detection unit, a porosity detection unit, a puncture strength detection unit and an air permeability detection unit; the thickness detection unit adopts a thickness gauge to detect the thickness of the diaphragm; the gram weight detection unit calculates the weight of the diaphragm in unit area according to the measured weight and area; the porosity detection unit calculates the porosity by combining the area and the thickness of the diaphragm; the puncture strength detection unit adopts a needle head to penetrate through the diaphragm, captures the maximum load at the penetration moment, and divides the maximum load by the average thickness of the diaphragm to obtain the puncture strength; the air permeability detection unit evaluates the air permeability by using the time required for the air to pass through the diaphragm with the specific area. According to the invention, comprehensive automatic detection of diaphragm performance can be realized, manual intervention is reduced, detection efficiency is improved, and data of transverse consistency and longitudinal consistency can be well seen.

The invention discloses a package defect detection method and a detection system thereof, and relates to the technical field of package detection, the package defect detection method comprises the following steps: establishing target feature template information; obtaining a second image, detecting the edge of a second target feature, carrying out edge segmentation on the second target feature, recognizing a second target feature segmentation image, carrying out recognition result matching according to a second target feature recognition result and target feature template information, and carrying out wrong printing judgment on the second target feature based on a recognition result matching result. Obtaining a wrong printing judgment result; if the wrong printing judgment result is that wrong printing is not carried out, extracting pixel points of a second target feature segmentation image, carrying out pixel point matching according to a second pixel point set and the target feature template information, and rejecting the matched second pixel points; and performing defect judgment on the reserved second pixel points. Automatic detection of packaging bag printing defects is realized, the labor intensity of manual detection is reduced, and the detection precision is improved.

The embodiment of the invention provides a video quality detection method and system. In the method, after a video quality detection system obtains a target video, a single image frame is taken as granularity, and feature extraction is carried out on at least part of first image frames in the target video to obtain spatial domain features; and performing feature extraction on the second at least partial image frame in the target video by taking the image frame sequence as granularity to obtain a time domain feature and a spatial-temporal feature. And further, the video quality detection system generates fusion features based on the spatial domain features, the time domain features and the spatial-temporal features, and determines a quality detection result of the target video based on the fusion features.

The invention discloses a detection device for the endocrinology department, and relates to the technical field of urine sugar detection.The detection device comprises a conveying belt, a first side plate is arranged on one side of the conveying belt, a second side plate is arranged on the other side of the conveying belt, a movable groove body is arranged above the conveying belt, and a plurality of limiting cylinders allowing urine bottles to be inserted therein are arranged in the movable groove body; two clamping blocks are arranged on the inner wall of the limiting cylinder, a plurality of clamping parts used for clamping test paper are arranged above the conveying belt, each clamping part comprises a first clamping handle and a second clamping handle, a first sliding plug is arranged above the first clamping handle and the second clamping handle, a fixing cylinder is arranged on the outer wall of the first sliding plug, a first spring is arranged outside the fixing cylinder, and a second sliding plug is arranged above the second clamping handle. A fixing disc is arranged on the outer wall of the fixing cylinder, a detection unit for pushing the first sliding plug to slide downwards in the fixing cylinder is arranged on one side of the fixing disc, in the device, manual detection of medical staff is not needed, automatic detection of multiple urine samples is achieved, and the risk of infection of the medical staff is reduced.

The invention discloses a landing typhoon residual vortex detection method based on YOLOv5, and the method comprises the steps: employing ERA5 data and landing typhoon optimal path data, screening a convolutional neural network YOLOv5 model, carrying out the screening of initial data based on a potential height field, taking the screened data as a model sample set, building a typhoon residual vortex detection model, and achieving the detection of weak vortexes. In the life stage after the landing typhoon is weakened into tropical low-voltage shutdown, the existence and development conditions of the landing typhoon residual vortex are accurately detected and monitored, accurate reference is provided for meteorological early warning and disaster management, and the accuracy rate of a test set is as high as 70.08%.

The invention relates to a molecular marker which is located at the 47023718th basic group from the 5tail end on a No.16 chromosome of a pig reference genome Sscrofa11.1 and is related to a pig internal farrowing litter weight standard deviation. The invention describes a primer pair and a kit for detecting the molecular marker, and application of the primer pair and the kit in identifying the size of the standard deviation of the litter weight in the pig, screening pig varieties or genetic breeding of the pig. The pig internal litter weight standard deviation of the AA genotype individual is 2.79 kg, the pig internal litter weight standard deviation of the GG genotype individual is 4.38 kg, and the AA genotype individual is obviously smaller than the GG type individual, namely, the pig resilience of the AA genotype individual is higher than that of the GG individual. The AA type individuals are selected, and the pigs with small standard deviation of litter weight and high restoring force in the pigs can be obtained. According to the method, the problem of determining the pig resilience in actual production is effectively solved, the breeding cost is reduced, the pig internal litter weight standard deviation is effectively reduced, so that the pig resilience is improved, the method is high in accuracy and low in detection cost, automatic detection can be realized, and the method has very high practical application value in the aspect of pig breeding.

The utility model provides a PCR (Polymerase Chain Reaction) sealed detection box which comprises a PCR micro-fluidic chip main body and a chip supporting plate, the PCR micro-fluidic chip main body comprises a substrate and a cover plate which are attached to each other, at least one reaction chamber is formed on the substrate, and sample injection holes are respectively formed on the cover plate corresponding to the end parts of the reaction chambers; a plurality of chip bulges and an elastic limiting card are arranged on the second surface of the chip supporting plate, the chip bulges are used for limiting and fixing the PCR micro-fluidic chip main body, and the elastic limiting card is arranged on one side, different from the chip bulges, of the PCR micro-fluidic chip main body and is provided with an elastic structure in the horizontal or vertical direction; the fixing device is used for detachably loading, pressing and fixing a PCR micro-fluidic chip main body. According to the PCR sealed detection box provided by the utility model, sample adding and sealing of the PCR micro-fluidic chip are simplified and automatic, and the PCR sealed detection box is more suitable for being integrated into automatic PCR detection equipment.

The invention relates to a fabric defect spot positioning detection system, method and equipment and a medium. The system comprises an image acquisition module, an image processing module, a defect detection module and a detection result generation module, the image acquisition module is used for acquiring an original detection image of a to-be-detected fabric; the image processing module is used for segmenting the original detection image to obtain a to-be-detected image, and the to-be-detected image comprises a core to-be-detected image; the defect detection module is used for inputting the core to-be-detected image into a core defect point detection model to obtain core defect point detection information; the detection result generation module is used for generating a real-time early-warning defect detection result in response to the condition that the core defect point detection information meets the defect detection early-warning condition; and generating a fabric defect initial judgment grade detection result based on the core defect point detection information. By adopting the system, the fabric defect spots can be automatically detected, the actual distribution condition of the fabric defect spots can be accurately reflected, and the fabric quality is ensured to be in a controllable state.

The invention relates to the technical field of semiconductors, in particular to a SiC epitaxy merging detection method and system.According to the SiC epitaxy merging detection method and system, a graphite ring or a wafer or a graphite disc can be independently subjected to edge searching and deviation correction through a merging and splitting module, an edge finder and a deviation correction platform, and a mechanical arm can complete transferring of the wafer or the graphite ring or the graphite disc through fixed grabbing or placing actions; the positioning precision of the wafer is improved, the positioning error in the wafer installation process is effectively eliminated, the combination and separation module can quickly complete the separation and combination action between the graphite ring and the wafer or the graphite disc, the wafer, the graphite ring and the graphite disc which are combined can be smoothly put into an epitaxial growth environment, and the wafer processing quality is ensured; and through arrangement of the laser sensor and the acquisition equipment, automatic detection is realized, manpower is effectively saved, and positioning errors caused by manpower are reduced.

The invention relates to a deep learning-based Hamp; the invention discloses an E image ovarian cancer polyploid tumor giant cell (PGCCs) detection method. The method comprises the steps of specific data set construction, image annotation and data division, feature learning and optimization by using an OCDet model, and model training and evaluation. The method comprises the following steps: firstly, establishing a Hamp containing PGCCs; and E, dyeing the image data set, then accurately marking the image and dividing the image into training, verification and test sets. The OCDet model takes CSPDarkNet as a core, combines an ECA mechanism, and focuses on deep learning and recoding of pathological semantic features. By training a data set, the model performs parameter updating and optimization through back propagation and gradient descent to identify PGCCs features. The verification set is used for model optimization, and the test set is used for evaluating model performance. According to the automatic detection technology, doctors can be helped to improve the diagnosis efficiency and reduce errors, important reference is provided for clinical treatment and prognosis evaluation, and remarkable clinical application value is shown.

The invention discloses an automatic detection system and method for a high-speed green channel, and relates to the technical field of automatic detection of the green channel, and the method comprises the steps: constructing a high-speed green channel automatic detection cloud platform, carrying out the image quality evaluation of an X-ray detection image, and obtaining a target detection image group; extracting a target X-ray detection image from the target detection image group, analyzing goods in the target X-ray detection image, and analyzing the similarity between the goods in the target X-ray detection image and goods in the goods comparison data to obtain goods type data; analyzing the cargo loading condition in the to-be-detected truck to obtain characteristic cargo loading data; the method comprises the following steps: acquiring characteristic cargo loading data of a to-be-detected truck, generating detection data of the to-be-detected truck based on the characteristic cargo loading data in combination with preset detection condition data in a cloud platform, displaying the detection data to high-speed workers through the cloud platform, and intelligently detecting the truck in a high-speed green channel.

A circuit board component detection device disclosed by the present invention comprises a workbench, a power-on detection assembly, a recovery assembly, a turn-over assembly, a stability detection assembly and a clamping assembly, two first telescopic rods are fixedly installed on the workbench, and transmission shafts of the two first telescopic rods are fixedly connected with installation blocks respectively. When a first gear is in contact with a first rack, the first gear can drive the detection table to overturn backwards, at the moment, a circuit board stands on a side plate of the detection table and cannot fall off immediately, and when the circuit board is overturned by more than 90 degrees, the back face of the circuit board is upward and falls on a rotating plate; and then when the detection table continues to press the connecting rod forwards, a fourth rack slides to drive a second gear to rotate at the same time, so that a rotating plate drives the turned circuit board to move to the workbench, workers can conveniently detect the back face of the circuit board, and the situation that normal work of the circuit is affected by possible scratching, abrasion and other situations of the circuit on the back face is avoided.

The invention relates to the field of intelligent detection, and provides a method for intelligently detecting software binding information of motor vehicle inspection and detection equipment, which comprises the following steps of: acquiring a time queue of behavior data of equipment to be detected, and performing embedded coding on the behavior data of the equipment to be detected by adopting an AI-based data analysis algorithm; and on the basis of each behavior data embedding coding feature, time sequence feature propagation aggregation representation based on the principal component is carried out to automatically judge whether the to-be-detected equipment has abnormal activity or not. Thus, abnormal activities of the equipment can be found in time by monitoring the behavior mode of the equipment in real time, the detection efficiency is improved, dependence on human resources is reduced, the reliability and accuracy of a detection result are improved, and therefore automatic detection of the behavior mode of the equipment is achieved.

The invention discloses an AI-based generator outlet circuit breaker contact wear detection method and system. The method comprises the steps of obtaining and preprocessing a historical wear image of a circuit breaker contact to obtain a preprocessed image; extracting image features from the preprocessed image, analyzing the image features, determining key image features related to the wear of the circuit breaker contact, and constructing a feature recognition model based on the key image features; acquiring a real-time acquisition image of the circuit breaker contact and identifying key image features through the model; evaluating each key image feature to obtain a wear degree evaluation value; determining the weight of each key image feature, and determining a wear degree value based on the weight of each key image feature and the wear degree evaluation value; and sending out early warning information after judging that the wear degree value exceeds a preset threshold value. According to the method, the accuracy, efficiency and timeliness of wear detection of the contact of the generator outlet circuit breaker are improved, safe and stable operation of a power system is ensured, and meanwhile, a scientific basis and decision support are provided for maintenance and management.

The invention discloses an object stacking anomaly detection method, device and equipment and a medium, and is applied to the technical field of artificial intelligence, and the method comprises the steps: obtaining depth data, radar point cloud data and at least one two-dimensional image of a target region; a plurality of target objects are stacked in the target area; according to the depth data, the radar point cloud data and the at least one two-dimensional image, the number of target objects and first position information, height information, category information and spacing information of each target object are obtained, the spacing information of the target objects is spacing between the target objects and adjacent objects, and the adjacent objects are adjacent to the target objects; the first position information of the target object is position information of the target object in the target area; and according to the number of the target objects and the first position information, the height information, the category information and the spacing information of each target object, carrying out object stacking anomaly detection on the target area. According to the invention, the accuracy and efficiency of object stacking anomaly detection can be improved.

The invention discloses a circuit board detection method and a related device, and the method comprises the steps: obtaining a circuit board image corresponding to a to-be-detected circuit board, and determining a standard component list and a to-be-detected component list corresponding to the to-be-detected circuit board, the standard component list is used for indicating a plurality of target components assembled on a standard circuit board of a target category and first assembly positions of the plurality of target components on the standard circuit board; the to-be-detected component list is used for indicating to-be-detected components assembled on the to-be-detected circuit board and second assembly positions of the to-be-detected components on the to-be-detected circuit board. Finally, the to-be-detected component list is detected according to the standard component list, a detection result is obtained, the detection result is used for indicating whether the to-be-detected circuit board passes component assembly detection or not, and therefore whether the to-be-detected circuit board is a qualified product or not is judged. On the basis, detection is carried out from the granularity of the component, the detection accuracy is improved, and compared with a manual detection mode, the detection efficiency is improved.

The utility model discloses gearbox air tightness detection equipment, which comprises a workbench and a protective cover, the protective cover is fixed at the upper end of the workbench, a guide rod is arranged between the workbench and the protective cover, a lifting plate is connected onto the guide rod in a sliding manner, an air pressure detection mechanism is arranged on the protective cover and the lifting plate, and the air pressure detection mechanism is connected with the workbench. The workbench is provided with a taking and placing mechanism, the taking and placing mechanism is arranged on the two sides of the lower portion of the lifting plate, hydraulic cylinders are arranged on the two sides of the upper end of the protection cover, the output ends of the hydraulic cylinders penetrate through the protection cover to be connected with the lifting plate, and the air pressure detection mechanism comprises a lower mold, an upper mold, an air tightness detector and an air pressure sensor. The air pressure detection mechanism comprises a lower die, an upper die, an air tightness detector and an air pressure sensor, and a first conveying belt and a second conveying belt are arranged on the workbench and are arranged on the two sides of the workbench respectively. The utility model belongs to the technical field of gearbox detection, and particularly relates to gearbox air tightness detection equipment.

The utility model discloses an on-line automatic detection system for automobile triangular glass. The on-line automatic detection system comprises an incoming material conveying line, a turnover butt joint device, an automatic measuring device and an unloading conveying line, the overturning butt joint device comprises a supporting frame body; a support table; the switching module is arranged above the supporting table and can move in the Z direction, and an adsorption component is connected to the switching module; when the transfer robot is in the first working mode, the automobile triangular glass is transferred among the incoming material conveying line, the automatic measuring device and the unloading conveying line; and when in the second working mode, the turnover mechanism can turn over the automobile triangular glass picked up at the feeding conveying line, is matched with the switching module to transfer the automobile triangular glass to the supporting table, and transfers the automobile triangular glass among the supporting table, the automatic measuring device and the discharging conveying line. The automobile triangular glass on-line automatic detection system provided by the utility model can realize the automatic detection of the automobile triangular glass, and improves the measurement accuracy and the measurement efficiency.

The invention discloses a generation method, device and equipment of a surrounding string label model and a medium. The method comprises the following steps: selecting a candidate knowledge graph associated with a target business scene from a knowledge graph library; if there are multiple candidate knowledge maps associated with the target service scene, fusing the candidate knowledge maps associated with the target service scene according to a fusion strategy; marking one or more entities in the fused knowledge graph to obtain a marked knowledge graph; extracting one or more key concerned objects from the marked knowledge graph; and on the basis of a pre-constructed normal training set, a pre-constructed abnormal training set and the one or more key concerned objects, generating a surrounding bidding model corresponding to the target business scene. According to the embodiment of the invention, the applicable bidding models can be automatically generated for different business scenes, and the automatic detection of bidding behaviors can be realized, so that the efficiency and accuracy of bidding detection can be effectively improved.

The invention provides a fan lightning protection system detection device and method.The fan lightning protection system detection device comprises a cantilever detection assembly arranged on a fan tower drum, the height position of the cantilever detection assembly is the position where the front end of a fan blade rotates to be close to the bottom of the fan tower drum, and a conductive assembly is arranged at the front end of the cantilever detection assembly; and the conductive assembly is used for contacting a metal piece at the front end of the fan blade and is connected with the detection unit, and the conduction state of the lightning protection system is detected through the detection unit. According to the device, the conductive assembly is in contact with the metal piece, and the conduction state between the conductive assembly and the metal piece is detected through the detection unit, so that the conduction state of the fan lightning protection system is judged. And a soft magnet contact mode is adopted, so that fan blades are prevented from being abraded. According to the method, automatic detection of the lightning protection system is realized, shutdown detection of the fan is not needed, detection personnel do not need to climb on the fan tower tube to carry out high-altitude operation, the workload and risk of the detection personnel are reduced, and the continuous reliability of the lightning protection system is further ensured.

The utility model discloses a new energy automobile power battery box CTC structure airtightness detection tool comprising a support pedestal, the support pedestal is provided with a substrate, and the substrate is fixedly provided with a first sealing ring and a first pressing mechanism; a vertical frame and a horizontal driving mechanism controlling the vertical frame to slide are assembled on the supporting base in a sliding mode, a pressing plate is connected to the vertical frame in an up-down sliding mode, and a lifting driving mechanism controlling the pressing plate to move up and down is installed on the vertical frame. A second sealing ring is fixedly arranged on the lower side of the pressing plate, the lifting driving mechanism drives the pressing plate to move downwards, the second sealing ring can be sealed on the upper surface of the open thin-edge structure of the middle cover, and an inner locking mechanism is installed on the pressing plate and provided with a second pressing block located below the pressing plate. And the inner locking mechanism can enable the second pressing block to be upwards pressed on the lower surface of the open thin-edge structure of the middle cover. The utility model has the beneficial effects that the technical problem that the bottom of the thin edge of the middle cover is not supported is solved, and the automatic detection of the air tightness of the battery box body with the CTC structure can be realized at the same time.

The utility model discloses a PPR female bent pipe fitting side appearance detection device which comprises an equipment mounting table, a rotating table, a camera shooting and light source mechanism, a defective product removing mechanism, an abnormal product discharging mechanism, a feeding conveying line and a discharging conveying line, and the camera shooting and light source mechanism, the defective product removing mechanism and the abnormal product discharging mechanism are sequentially arranged on the side face of the rotating table. The camera shooting and light source mechanism comprises a camera and a light source, the camera is used for detecting the appearance of the side face of the female bent pipe fitting, the defective product removing mechanism comprises a defective product discharging and blowing device and a defective product receiving hopper, and the defective product discharging and blowing device is arranged on one side of the rotating table and is aligned with the defective product receiving hopper. And the abnormal discharge control cylinder is connected with the discharge guide rod. According to the utility model, a plurality of cameras are adopted to carry out omnibearing detection on the appearance of the side surface of the PPR female elbow pipe fitting, so that the detection efficiency is greatly improved, the situation of missing detection of defective products is avoided, and abnormal products can be discharged in time when abnormal conditions occur.

The invention discloses detection equipment for quartzite plate production, and relates to the technical field of quartzite plate detection, the detection equipment comprises a base, the top surface of the base is fixedly provided with a workbench, two sides of the top surface of the workbench are fixedly provided with baffle plates, and a conveyor belt is rotatably connected between the two baffle plates; a quartz stone plate body is arranged on the conveying belt; the distribution box is fixedly installed on the front side wall of the base, a controller is fixedly installed on the right side wall of the workbench, a processor is fixedly installed on the side wall, away from the quartz stone plate body, of one baffle, and an industrial camera is fixedly installed on the side wall, facing the quartz stone plate body, of one baffle. Through the arrangement of the detection device and the shunting device, accurate detection of the length, width and thickness of the quartz stone plate body is realized, automatic shunting is carried out according to the detection result, and the production efficiency and the product quality are improved.

The invention discloses a method for collecting and verifying gas generated by thermal runaway of a battery in a closed pressure container, which comprises the following steps of: 1, starting a power supply of an experimental device, debugging each component and trying to act, putting the battery with a clamp into the closed pressure container 1, and closing a cabin door of the container; step 2, vacuumizing the transformed large-volume closed pressure container 1 until the transformed large-volume closed pressure container 1 reaches a vacuum environment, then filling nitrogen, monitoring and recording the nitrogen concentration through a nitrogen concentration sensor 1-2, and inputting data into a control system 6; a plurality of nitrogen concentration sensors are arranged at a plurality of gas sampling ports of a closed pressure container, a nitrogen concentration sensor is arranged in a premixing cabin, and an ideal gas state equation, a gas homogenization calculation method and an automatic adjustment algorithm are integrated in a control system. By utilizing the flow rate adjusting function of the sampling pipeline and actually measured concentration data, the automatic detection, adjustment and verification of the uniformity degree of the thermal runaway mixed gas sample are realized.

The invention provides an asphalt pavement detection device, which comprises: a shell, the four corners of the bottom end of the shell are all provided with universal pulleys, and the center of the bottom end is provided with a detection port; the number of the partition plates is two, and the partition plates are sequentially arranged in the shell and divide the interior of the shell into three cavities. The lifting detection mechanism is arranged in the lowermost cavity in the shell, and a detection part on the lifting detection mechanism can penetrate out of the detection opening to detect the asphalt pavement below the lifting detection mechanism; the battery is arranged in the shell and is placed on one of the partition plates; the data processor is arranged in the shell and is placed on the other partition plate; and the control and display panel is arranged at the top of the shell. Through the lifting detection mechanism, a detection part can automatically stretch out of a detection opening, detection data are processed through the data processor, a result is displayed through the control and display panel, and through the design, the automation level of detection is greatly improved, manual intervention is reduced, and the detection efficiency and precision are improved.