2866 results about "Confined space" patented technology

The present invention relates to the technical field of environmental perception in confined spaces, and discloses a multi-modal coupled perception method for target recognition and region segmentation in a confined space. The method comprises: firstly, constructing a 3D point cloud data processing network, a 2D point cloud data processing network, and an image data processing network; next, constructing a feature fusion device, and outputting a bird's-eye view incorporating multi-sensor information; then constructing a multi-scale feature fusion extraction network and a network output head, outputting a target recognition and region segmentation result, and designing a loss function to train a network weight; and finally, inputting 3D point cloud data, 2D point cloud data, and camera image data into a network model, performing inference to obtain a target recognition and region segmentation prediction result, and performing visual rendering on the prediction result. In the present invention, in view of the characteristics of a millimeter-wave radar, a multi-modal coupled perception network is constructed, so that effective information in mass point cloud data of the millimeter-wave radar can be deeply mined, thereby effectively improving the detection accuracy of target recognition.

The invention discloses a double-mechanical-arm cooperative motion planning method based on deep reinforcement learning, and the method comprises the steps: building a workbench simulation environment, and enabling double mechanical arms to carry out cooperative motion planning and testing in the environment; a deep reinforcement learning model of the double-mechanical-arm motion planning system is established, the model makes a decision according to the current state of the double mechanical arms in each time step so as to output a motion instruction of the double mechanical arms, and after the state of the double mechanical arms is updated, a reward value for executing the motion instruction is obtained through calculation; generating an expert track and storing the expert track in an experience playback pool as an expert sample; the states, the action instructions and the reward values formed by different time steps are stored in an experience playback pool in a grouping mode to serve as experience samples; and regularly extracting samples from the experience playback pool for batch training and updating model parameters. The invention further provides a system, electronic equipment and a storage medium. According to the method, the double-mechanical-arm cooperative movement task with the tail end posture constraint can be efficiently completed in a limited space.

The invention relates to the technical field of safety engineering and artificial intelligence, in particular to a limited space operation safety risk assessment method and system, and aims to effectively improve the core defects of the prior art through a machine learning technology and a data analysis method. Due to the real-time monitoring and evaluation capability, the system can respond to environmental changes in time; the model can identify and adapt to new risk factors due to high adaptability; the accuracy and objectivity of evaluation are improved through a data driving method; an iterative optimization mechanism ensures that the model can be evolved continuously, the effectiveness of risk management is enhanced, a more efficient, more accurate and more reliable safety risk assessment method and system are provided for limited space operation, a solid technical support is provided for guaranteeing operation safety, and the method and the system have good application prospects. And an important step of intelligent and digitized development of the security risk assessment field is marked.

The invention discloses an intelligent construction site confined space operation monitoring and early warning method based on artificial intelligence, and the method comprises the following steps: S1, collecting source data in a confined space operation environment, and carrying out the preprocessing; s2, analyzing the environmental safety condition in the closed space; s3, using a DINOv2 target detection model to identify the existence state of the operator and the wearing condition of the protective equipment, and monitoring the behavior action of the operator in combination with a MotionBERT attitude estimation algorithm; s4, performing health state analysis on the operating personnel; s5, predicting the risk change trend of the closed space operation environment by using an SARIMA model; s6, all the results are fused to generate a final risk assessment result; s7, when a set early warning threshold value is reached, alarm information is generated; and S8, dynamically adjusting early warning parameters. According to the method, a DINOv2 target detection model, a MotionBERT attitude estimation algorithm and an SARIMA model are combined, monitoring and early warning of closed space operation are achieved, and the method has high-precision detection, intelligent identification and risk prediction capabilities.

The present invention belongs to the technical field of anchor protection apparatuses. Provided is an automatic anchor protection platform having combined support of anchor rods and anchor cables. The automatic anchor protection platform comprises a movable chassis, a multi-cycle anchor rod drilling rig, an anchor rod drilling rig posture positioning control device, an anchor cable support device, a temporary support device, an electrical system and a hydraulic system. Said automatic anchor protection platform integrates the multi-circle anchor rod drilling rig, the anchor cable support device and the temporary support device, and therefore meets the anchoring and support requirements of roadways under different geological conditions, allows anchor rod and anchor cable parallel support operations to be conducted at the same time, and achieves efficient coordinating matching linkage integrated design, thus further promoting efficient operation processes in limited spaces such as coal mines and tunnels.

The invention provides a flexible palladium film hydrogen sensor and a preparation method thereof, the flexible palladium film hydrogen sensor is sequentially provided with a flexible substrate, a hydrogen sensitive sensing layer and a contact connection layer from bottom to top, and the contact connection layer is connected with a resistance measurement unit; and the hydrogen-sensitive sensing layer is a palladium or palladium alloy film with a conical micro-nano structure. The palladium or palladium alloy thin film with the conical micro-nano structure provides a hydrogen sensor conical surface micro-nano structure with a high specific surface area for the flexible palladium thin film hydrogen sensor, and the process that hydrogen is adsorbed, dissolved and diffused into the palladium or palladium alloy thin film is accelerated, so that the response speed of the sensor is increased; according to the hydrogen sensor, the flexible substrate is adopted, so that the hydrogen sensor can be conveniently arranged in various narrow spaces, and the applicability of the hydrogen sensor in various scenes is improved.

A powered balancing mobility device that can provide the user the ability to safely navigate expected environments of daily living including the ability to maneuver in confined spaces and to climb curbs, stairs, and other obstacles, and to travel safely and comfortably in vehicles. The mobility device can provide elevated, balanced travel.

The invention discloses an intelligent induction and early warning system for poisonous gas in a limited space, and relates to the technical field of gas induction and early warning. A three-dimensional structure model of the limited space is constructed, and non-uniform grid division is carried out based on barrier characteristics; multiple types of toxic gas sensing units are arranged in the grids, and gas concentration data are collected in real time; constructing a toxic gas three-dimensional cloud picture, and generating a dynamic weight field based on the concentration gradient; fusing operator positioning and trajectory prediction information, and establishing an individual risk exposure model; calculating a space-time intersection of the toxic gas cloud picture and the high-risk track area to form a fusion risk matrix; realizing linkage early warning control of a region level and an individual level through multi-level dynamic threshold judgment and thermal block clustering identification; the system can realize accurate perception and active response of the toxic gas gathering trend and personnel exposure risk in the complex limited space, has the technical advantages of high sensitivity, high intelligence and low false alarm, and is suitable for various limited space scenes such as chemical engineering, tunnels and mines.

The invention discloses a heat exchange structure design method based on three-period minimal curved surface space subdivision. The invention provides a heat exchange structure design method based on a three-period minimal curved surface (TPMS) structure, and aims to improve the performance of efficient heat dissipation equipment. According to the method, by generating the Gyandroid structure and conducting multi-layer subdivision, the fluid flowing path is optimized, and the heat exchange efficiency is improved. Meanwhile, by adopting the lightweight composite material for construction, the structural weight is remarkably reduced, and the composite material is suitable for high-efficiency heat dissipation application in the fields of new energy automobile battery heat management, electronic equipment, aerospace and the like. Through finite element simulation analysis, the heat dissipation performance and mechanical strength of the structure are verified, efficient heat dissipation can be achieved in a limited space, and the service life of equipment is prolonged.

The invention discloses a self-adaptive gait control method, system and device for a quadruped robot in a limited space and a medium, and belongs to the technical field of gait control. Identifying terrain categories through a classifier and acquiring initial gait parameters from a gait library; adjusting the gait parameters according to the terrain gradient and the roughness to obtain optimized gait parameters; calculating stability indexes and fusing scores; when the score is lower than a threshold value, an adjustment strategy is determined according to an instability mode to correct gait parameters; a foot end track is generated and control is executed; and the executed information is fed back to terrain perception to form a closed loop. According to the method, the terrain recognition accuracy is improved through multi-modal information fusion, the adaptive mapping from the terrain to the gait is established to achieve automatic gait switching and parameter optimization, the stability is evaluated through multi-index fusion, a targeted adjustment strategy is selected according to an instability mode, the adaptive gait control problem under the limited space and the complex terrain is solved, and the adaptive gait recognition accuracy is improved. And the movement efficiency and the stability are improved.

The invention relates to the technical field of toxic gas monitoring, in particular to a limited space operation environment gas monitoring device which comprises a shell, a controller and an audible and visual alarm, a gas cavity is formed in the shell, a pushing assembly, a detection assembly and a sealing assembly are arranged in the shell, and the pushing assembly comprises an air cylinder, a through hole and a pushing plate; the detection assembly comprises a servo motor and a rotating disc, a plurality of air storage cylinders are arranged on the circumference of the rotating disc, harmful gas sensors are arranged in the air storage cylinders, the sealing assembly comprises a mounting plate and a water through hole, a micro motor, a baffle a and a baffle b are arranged in the mounting plate, an air inlet and a water inlet are formed in the mounting plate, and a piston is arranged in the water through hole. The air cylinder drives the push plate to push air in the air cavity into the air storage cylinder to be detected through the harmful gas sensor, when the push plate descends, the micro motor drives the baffle a and the baffle b to seal the air inlet, and meanwhile, the piston squeezes water in the water through hole into the position between the baffle a and the baffle b to be further sealed, so that the detection result is more accurate.

The invention discloses a limited space operation intelligent monitoring system based on multi-sensor fusion, and relates to the technical field of intelligent monitoring. Compared with a previous intelligent monitoring system, the system solves the problems that the space limitation degree and the environment complexity in a limited space are relatively high, and the operation safety risk is relatively high; a traditional monitoring method carries out monitoring based on a single sensor and lacks real-time performance and accuracy. The condition in a limited space is sensed and monitored in real time by fusing data of various sensors, so that the operation safety and the normal operation of equipment are ensured; intelligent mobile equipment is also integrated, so that the position and the state of an operator in a limited space can be accurately determined in real time; behavior recognition is carried out on people, vehicles, non-motor vehicles and the like through a behavior detection method, corresponding alarm and enhanced management are carried out, and the operation safety is further improved; and remote real-time monitoring of limited space operation is realized in combination with the Internet of Things technology, and all-around safety guarantee is provided for the limited space operation.

The invention discloses a PINN-based limited space internal explosion damage parameter prediction method and system. The method comprises the steps of completing data acquisition and constructing a time sequence data set; model construction is completed, and the time sequence modeling capability is enhanced; determining a total loss function and adding boundary condition constraints to enable model prediction to accord with physical laws; firstly optimizing data loss, then introducing a physical residual error, and finally activating a boundary speed suppression loss item and adjusting a learning rate; in combination with a learning rate dynamic scheduling and early stop mechanism, the training efficiency and stability are improved through adaptive residual weighted balance data and physical constraint loss; and predicting parameters such as pressure, temperature and speed of each point in the limited space in multiple time frames by using the trained model, calculating impulse based on a pressure time history, evaluating personnel damage, and completing damage zoning in the limited space. And efficient modeling under a complex boundary condition and a limited space environment is completed.

The invention relates to the field of pressurization and yield increase in natural gas extraction, in particular to a novel oblique flow type natural gas downhole compressor which comprises a multi-stage series structure and a plurality of connected single-stage compression modules, and each single-stage compression module comprises a diffusion pipeline and a rectification pipeline which are connected and coaxially arranged to form an axial advancing route of gas. Gas axially enters and is axially discharged; the air suction mechanism is arranged in the diffusion pipeline and used for sucking external air so that the external air can flow along the axial advancing route to do work and be pressurized; the same single-stage compression modules are connected in series in a multi-stage mode, the design difficulty is effectively reduced, meanwhile, the high pressure ratio can be achieved by adjusting the number of the compression modules, the high pressure ratio is achieved in the limited underground space, meanwhile, the compressor has the high reliability and the wide stable working margin, and the application range of the compressor is widened. And safe and reliable operation of the compressor under different working conditions is guaranteed.

The invention belongs to the technical field of agronomy experiment devices, and particularly relates to a mulch-mulched soil environment simulation device which comprises a closed space, an air inlet and an air outlet. The mulching film sample is arranged in the closed space; the top of the soil simulation assembly is in contact with the bottom of the mulching film sample, and the soil simulation assembly is used for simulating a soil environment covered by the bottom of the mulching film sample; the natural environment simulation assembly is communicated with the closed space, the natural environment simulation assembly is used for simulating environmental conditions of the top of the mulching film sample, and the environmental conditions comprise temperature and humidity parameters, illumination parameters, rainfall parameters and wind speed parameters. According to the invention, researchers can accurately and controllably carry out experiments indoors, simulate soil states under different mulching film materials and environmental conditions, and deeply understand the influence of mulching film mulching on key parameters such as soil moisture, temperature and gas exchange. Scientific basis is provided for agricultural production and crop management, and sustainable development of agriculture is promoted.

The invention discloses a narrow space spraying trajectory planning method based on reinforcement learning, and the method comprises the steps: obtaining environment data through a LiDAR camera and a TOF camera, and obtaining a LiDAR point cloud and a TOF point cloud; carrying out registration fusion on the LiDAR point cloud and the TOF point cloud, and carrying out normal vector unification processing on each point of the fused point cloud; reconstructing by introducing a Poisson equation improved by shielding perception weight, and eliminating noise through Laplacian smoothing processing to obtain a target point cloud set; designing a state space, an action space and a reward function of reinforcement learning according to the planning of the spraying path trajectory, and determining a spraying path trajectory planning strategy; and based on the target point cloud set, adopting a spraying path trajectory planning strategy to carry out spraying trajectory planning. Sensor data fusion is realized through an improved iterative nearest point algorithm, and a shielding area is repaired in cooperation with a Poisson reconstruction algorithm, so that accurate correspondence between input parameters and output film thickness can be realized, and the control precision of the spraying thickness is remarkably improved.

The invention belongs to the technical field of gas monitoring, and discloses a limited space gas monitoring method, system and device based on the Internet of Things and a medium, and the method comprises the steps: obtaining gas sensing data transmitted by a pre-constructed gas sensing node network through an optimal transmission path; performing gas concentration prediction on the gas sensing data by using a long short-term memory neural network and a random forest algorithm, comparing a prediction result with a preset early warning threshold value, and triggering an alarm of a corresponding level; and determining a prediction error based on a prediction result, dynamically optimizing an early warning threshold based on the prediction error, and continuously optimizing the plan through a closed-loop feedback mechanism. By introducing the gas monitoring sensor, the wireless Internet of Things ad hoc network technology, the edge computing and the cloud collaborative architecture, the toxic gas real-time monitoring with high sensitivity, low power consumption, flexible deployment and intelligent analysis is realized.

The TOF module cover plate capable of avoiding glue overflow at least comprises a cover plate body, the cover plate body comprises a top wall and a side wall, the top wall and the side wall define a mounting cavity with an open bottom, the top wall is provided with a through slotted hole, and one side, close to the mounting cavity, of the top wall is provided with a plurality of glue grooves formed by sinking inwards at intervals in the edge direction of the slotted hole. A plurality of glue overflowing grooves formed by inwards sinking one side, close to the mounting cavity, of the top wall are formed between any glue groove and the groove hole at intervals, and a first retaining wall is formed between each glue overflowing groove and the corresponding glue groove. The glue box has the advantages that the structure is simple, the glue containing capacity is improved in a limited space, and glue overflowing caused by siphonage is avoided.

The invention discloses a LiDAR-IMU calibration algorithm for an underground confined space, and the algorithm comprises the steps: carrying out the segmentation of an original LiDAR point cloud frame, carrying out the distortion correction of the point cloud, merging the point clouds of subframes, and carrying out the spherical projection, and generating a high-quality intensity image; constructing a point cloud degradation detection module, intelligently detecting point cloud degradation of the underground confined space, and introducing additional constraints to improve the pose estimation capability; combining the LiDAR odometer and IMU data to construct a residual function, and initially realizing time synchronization of the LiDAR and the IMU; constructing a unified space-time constraint module, optimizing time migration, and initializing a relative pose between the LiDAR and the IMU and zero offset of an accelerometer and a gyroscope; the method comprises the following steps: carrying out refinement modeling on an IMU (Inertial Measurement Unit) with enhanced reflectivity intensity information, calculating an intensity image pose by using an SFM (Space Frequency Modulation), constructing a target function with an IMU predicted pose, accurately calibrating zero offset of a gyroscope and an accelerometer, and iteratively optimizing translation and rotation external parameters of LiDAR / IMU. According to the method, the IMU bias noise can be accurately solved, IMU refined modeling is realized, and accurate calibration of LiDAR / IMU external parameters in the underground confined space is further improved.

The invention belongs to the technical field of engineering construction equipment, and discloses a trolley variable-diameter launching method which comprises the following steps: firstly, reducing the width of a trolley from 6m to 4.9 m through a trolley narrowing mechanism so as to transport and hoist in a limited space and complete assembly; when tunneling to 80m, expanding the width of the trolley to 6m, and recovering the bearing capacity of the trolley; continuously tunneling to 110m, hoisting a subsequent trolley, and connecting to form a complete machine; and after the shield body passes through the starting tunnel portal, the diameters of the cutter head, the shield body and the shield tail are synchronously expanded to the size required by construction. According to the method, through the flow design of narrowing transportation, reducing assembly and step-by-step expansion, the problems that a traditional shield tunneling machine cannot be started in a limited space and the construction efficiency is low are solved, and the construction efficiency and feasibility under the complex working condition are improved.

The invention relates to the technical field of steel gate machining, in particular to an electric arc welding device for a steel gate limited space, which comprises a base and an electric arc welding gun, the lower end of the base is movably provided with a transverse sliding seat through a transverse moving mechanism, and the upper end of the transverse sliding seat is fixedly connected with a portal frame penetrating through the base. According to the steel gate automatic welding device, the whole steel gate automatic welding device is mainly composed of the base, the transverse moving base, the longitudinal sliding table, the lifting rack, the four electric arc welding guns, the adjusting mechanism and the electric control part, automatic welding operation of the steel gate limited space can be achieved, and compared with original manual welding operation, the efficiency is improved by two times to four times; and meanwhile, an operator only needs to stand in front of the numerical control terminal for operation in the whole welding process, the safety problems of head congestion and dizziness, limb imbalance falling, welding smoke inhalation, welding smoke fumigation and the like during actual welding operation of the operator are avoided, and therefore the efficiency, safety and stability of welding operation of the steel gate in the limited space are improved.

The invention relates to an active and passive integrated protection method and system for hydrogen safety in a confined space, and the protection method specifically comprises the steps: building an equal ratio test model and a simulation model of a hydrogen utilization system in the confined space, and carrying out the numerical simulation analysis; carrying out limited space hazard source identification, determining installation positions of a limited space hydrogen leakage collection device and a hydrogen concentration sensor, and formulating a hydrogen micro-leakage criterion combining a hydrogen concentration change rate, a hydrogen concentration break variable and a hydrogen concentration threshold value; and determining an arrangement scheme of a limited space exhaust system and an explosion pressure relief system. The protection system comprises an active protection device and a passive protection device. Compared with the prior art, the method has the advantages that the accuracy of the simulation model is verified, the simulation model is continuously optimized and adjusted until the accuracy meets the requirement, and the obtained result is more reliable and is more consistent with the actual situation. The hydrogen safety active and passive integrated protection device provided by the invention has early warning and protection functions, and comprehensively and efficiently realizes prevention and control of system hydrogen safety.

The utility model discloses an automatic liquid filling mechanism and system, the filling mechanism comprises a public guide rail, and a first span beam and a second span beam which are connected with the public guide rail, and two sides of the first span beam are provided with a consumable clamping unit and a magnetic bar sleeve extracting and loading unit which are connected with each other; a tubular clamping unit and a pipetting unit which are connected are arranged on the two sides of the second span beam, the third span beam is provided with a filling assembly, the filling assembly comprises a filling unit, and a third span beam driving mechanism can drive the filling assembly to move on the third span beam. The device further comprises a consumable receiving unit, a to-be-filled liquid consumable container, a fluid transmission channel, a filling lifting driving mechanism and a liquid driving pump which are associated with one another. According to the automatic liquid filling mechanism disclosed by the utility model, a plurality of functional components are integrally arranged and are respectively driven by the moving span beams, so that the system can intensively execute construction operation of an extraction system in a limited space, and the problem of dispersed multi-step operation caused by complicated operation of the extraction system is solved.

The invention relates to the technical field of underwater pipeline measurement, in particular to a manifold connection pose measuring device suitable for an underwater limited space and a solving algorithm. The device comprises an angle measuring mechanism and a rope length detecting mechanism, and is fixed on a flange end face of a detected pipeline through a centering mechanism; the angle measuring mechanism is composed of an orthogonal shaft system and a magnetic coupling encoder, and the linear displacement is mapped into an angle signal by combining a sliding rail and a measuring rope extension arm; the rope length detection mechanism winds a stainless steel measuring rope through a friction hub in an anti-corrosion shell, and the number of rotation turns is detected through an encoder so as to calculate the rope length. The method comprises the steps of establishing a measuring rope infinitesimal stress model, calculating a suspension curve based on a parabola theory, constructing an absolute coordinate system and a reference coordinate system, and resolving the relative pose of the two pipelines through pose parameters and a transition matrix. The working load of a diver is reduced through lightweight design and a low-friction shaft system, and high-precision pose measurement is achieved by combining the parabola theory and dynamic coordinate transformation.

The invention discloses a shielding space operation communication gateway system based on PLC and 5G multimode fusion, and relates to the technical field of communication gateways, through integrating a task intention recognition module, a link semantic modeling module, an intelligent strategy regulation and control unit, a cross-link redundancy coding and decoding module, a link abnormal game detection module and a cognitive evolution management module; modeling is carried out through task-driven communication service requirements, semantic abstraction is carried out on a link state in combination with a graph neural network, a system constructs a double-input reinforcement learning model, and joint scheduling of link selection, coding configuration and energy consumption control is realized; meanwhile, the abnormal behavior of the link is judged through an adversarial sample recognition and game mechanism, and a main strategy structure is optimized based on a multi-strategy scoring and inheritance mechanism; the system has the capabilities of intelligent decision making of communication strategies, anomaly defense and self-evolution optimization, and is particularly suitable for high-reliability operation communication requirements in a limited space in wireless communication shielding environments such as a hearth, an air pre-heater, an absorption tower, a tunnel, a mine and a subway.

The invention relates to a fusion detection method for heterogeneous sensors of an intelligent gangue selection robot in a limited space, and belongs to the field of fusion of technical heterogeneous sensors. VOC time sequence signals of a bionic electronic nose array, laser radar cloud data and pose information of an inertial measurement unit are synchronously collected, and the VOC time sequence signals are denoised through a generative adversarial network model; voxel filtering and outlier elimination are carried out on the laser radar cloud data; the VOC concentration gradient is predicted based on CFD simulation, a three-dimensional environment map is constructed in combination with laser radar cloud data and inertial measurement unit poses, and a smell concentration thermodynamic diagram is marked; and extracting robust odor fingerprints from the denoised VOC time sequence signals, aligning feature distribution of different mining areas, and updating the classification model. According to the scheme, the gangue selection robot is guided to preferentially explore a hidden area with low VOC concentration and high CO2 accumulation through the odor concentration gradient, and the detection capacity of non-dominant gangue piles is remarkably improved.

A bearing (11) is for mounting a winding shaft (12) of a shade system (10), in particular a roller blind. The bearing (11) includes a holder (14) and an elongated bearing pin (18) extending therefrom. The winding shaft (12) can be easily mounted and dismounted with a low risk of damage, even in confined spaces. The bearing pin (18) includes a narrower spacer (20) and a wider bearing head (21) spaced from the holder (14) by the spacer (20).

The invention relates to the technical field of continuum robot control, in particular to an under-actuated active and passive cooperative control device for a continuum robot. The two sections of mechanical arms are connected in a staggered mode to form two sections of continuous mechanical arms moving independently, each mechanical arm is provided with a plurality of bending units which are sequentially connected in the same position, the pre-tightening compensation mechanism is installed on the core body in the circumferential direction, the under-actuated control mechanism is installed on the installation disc, and the first rope is connected with the mechanical arms and the rope fixing plate; one end of the second rope is connected with the mechanical arm, and the other end of the second rope sequentially penetrates through the mechanical arm, the pre-tightening compensation mechanism and the first positioning wheel assembly and then is connected with the rope fixing plate to form a tension compensation loop for the first rope. The two-section continuum structural design is adopted, kinematics dimension reduction is achieved, and the multi-direction bending capacity can be achieved in a narrow space through bionic optimization. A combined type pre-tightening mechanism with a spring and a pulley combined is adopted, rope deformation is passively compensated through an elastic element, and dynamic tension maintaining is achieved.

The utility model discloses an aircraft sliding door pressure relief test device, which comprises a clamping mechanism and an actuator, the clamping mechanism comprises a vertically arranged rectangular frame, a sliding door is vertically arranged in the rectangular frame, and an upper frame and a lower frame of the rectangular frame are respectively fixed on the upper side and the lower side of a framework of the sliding door. The left frame and the right frame of the rectangular frame do not make contact with the left side and the right side of the framework of the sliding door, the transmission end of the actuator acts on the pressure relief opening cover on one side on the plane in the heading direction of the sliding door to form a loading point, and the actuator loads and applies force to test whether the pressure relief opening cover is separated from the pressure relief lock at the opening value and is normally opened relative to the framework. On the basis of analysis of structural forms and pressure relief loads of the pressure relief opening cover and the pressure relief lock of the aircraft sliding door, the open test device is provided, a confined space pressing test is not needed, the actuator directly acts on the pressure relief opening cover of the sliding door to load and apply force, the test device can be repeatedly used, the test implementation process is easy to operate, and the test efficiency is improved. Test results are accurate, and test cost can be reduced.

The invention relates to the technical field of dust concentration detection, in particular to an online detection method and system based on limited space dust concentration, and the method comprises the following steps: based on each detection area, analyzing scattered light signals, classifying the scattered light signals into different particle size categories according to angles and coordinates, and performing signal compensation in combination with real-time humidity; adjusting the irradiation direction of the LED array to optimize illumination distribution, comparing light intensity differences, dynamically scheduling uniform illumination areas, subdividing detection points, analyzing layering signals, and obtaining particle size layering concentration data. According to the invention, distribution mapping with distinct particle size category difference is realized by using a spatial multi-dimensional layered structure, signal adaptability is improved by fusing a humidity dynamic response mechanism, particle size, humidity and illumination multi-source data are dynamically fused, local environment interference is eliminated through layering and compensation linkage, and the accuracy of the system is improved. The continuity of data expression and the response speed of concentration monitoring are improved, and continuous dynamic tracking of the dust state in a limited space complex environment is supported.