162results about How to "Avoid precision" patented technology

The invention provides a range hood control method and system based on the Internet of Things, and relates to the technical field of artificial intelligence and the Internet of Things, and the method comprises the steps: obtaining multi-source layered environment characteristic data of heating power, oil smoke and airflow through constructing a layered data collection network, and carrying out the processing of edge calculation and a cloud server, drawing force required by each area is calculated, a self-adaptive fan control curve is generated, and then an initial control parameter set containing a main fan rotating speed value, an auxiliary fan rotating speed value and an air deflector angle value is generated; the method comprises the following steps: constructing a vortex flow prediction model based on a vortex tensor and a velocity divergence by using a cloud edge collaborative architecture, predicting an airflow movement track, calculating a real-time airflow deviation degree, dynamically adjusting an initial control parameter group to generate a target control parameter group, and finally continuously optimizing the prediction model through a deep reinforcement learning network.

The invention relates to a pollutant concentration diffusion simulation method based on grid optimization and self-regulation. The method comprises the following steps: carrying out basic grid division on a simulation area to obtain a basic grid; calculating a pollutant concentration field of the simulation area according to the spatial position and the pollutant concentration value of the monitoring station; generating a concentration distribution matrix according to the pollutant concentration field of the simulation area, and then dynamically adjusting the grid density of the basic grid; calculating the calculation complexity of each grid region by using the grid density of the adjusted basic grid, carrying out pollutant concentration calculation task allocation according to a cloud platform and a weighted polling algorithm, and forming a pollutant concentration distribution prediction result of the simulation region by a pollutant concentration prediction result of each grid; and dynamically adjusting a pollutant concentration distribution prediction result according to the Kalman filtering and the obtained real-time environment data to obtain a final pollutant concentration prediction value. By adopting the method, the precision and the real-time performance of pollution diffusion simulation can be improved.

The coarse aggregate ultra-high performance concrete premix lifting, transferring and mixing device comprises a control system, an aggregate batching system, an aggregate lifting system, a dry mixing main machine system, a feeding vehicle, a steel fiber feeding system and a stirring system, the whole stirring process is automatically controlled and comprises key steps of automatic metering, automatic raw material feeding, mixing and the like, so that manual operation is remarkably reduced, errors and inconsistency caused by manual metering are avoided, and the accuracy and repeatability of stirring each time are ensured; step-by-step feeding of each part is coordinated through a control system, so that the stirring efficiency and the uniformity of concrete are improved; by establishing a relational expression between a concrete mixture stirring uniformity index and parameters such as the stirring time, the stirring speed, the number of stirring blades, the vibration frequency of the two-stage vibrating screen and the like, key parameters in the stirring process are more accurately controlled, and it is ensured that the stirring uniformity of each batch of concrete reaches a preset standard.

The invention discloses an annular magnetic crushing system for wood fiber micro-nano crushing, which comprises an annular crushing cavity, a breathing device and an emission recovery device, the annular crushing cavity is a closed structure, and the annular crushing cavity is filled with conductive particles; a circle of electromagnetic driving device and a circle of attraction device are arranged in the annular crushing cavity, the electromagnetic driving device is located on the outer circle, the attraction device is located on the inner circle, the attraction device and the electromagnetic driving device exist in a mutual accompanying mode, and the outer portion of the annular crushing cavity is connected with a conductive particle emission and recovery device; and breathing openings are formed in the top and the bottom of the annular crushing cavity and are connected with a breathing device. The wood fiber powder regularly moves up and down under the action of the breathing device, collides with the conductive particles moving at a high speed in the annular cavity and is broken down and broken. The problems that the diameter of existing professional corollary equipment is limited, the initial velocity of conductive particles cannot be obtained, and the machining efficiency is insufficient due to the lack of a breathing device are solved.

The invention discloses a hypersonic variable wingspan aircraft attitude control method based on reinforcement learning, aiming at the characteristics of complex flight environment, strong nonlinearity of control input and aerodynamic characteristics, strong coupling and the like of a hypersonic variable configuration aircraft. The method comprises the following steps: acquiring discrete relationships between variables such as wingspan length, rudder deflection angle, flight attitude and flight speed and aerodynamic parameters through a computational fluid mechanics method, and then fitting the discrete relationships by utilizing a neural network method to realize aerodynamic parameter identification under different flight working conditions and appearance conditions; secondly, establishing a dynamic model of the hypersonic variable-wingspan aircraft by using an aerodynamic parameter identification network; and finally, realizing attitude control of the hypersonic variable-wingspan aircraft based on a DQN reinforcement learning method. The method can effectively solve the problems that a traditional control method is complex in controller design and strict in model precision requirement, and simulation experiment results prove that the method can effectively achieve attitude angle tracking.

The invention discloses an off-line and on-line combined unmanned aerial vehicle simulation flight path planning method, which belongs to the field of unmanned aerial vehicle flight path planning, and specifically comprises the following steps: obtaining a series of insertion waypoint longitudes and latitudes through a waypoint interpolation algorithm according to a selected route before a flight task is executed in an off-line mode; then altitude information stored in an elevation database is obtained in an elevation query mode, the target height of each waypoint of the unmanned aerial vehicle is calculated, and then route planning in the whole task process is completed; in the online mode, in the flight mission execution process, a real-time to-ground laser ranging system is adopted to obtain real-time to-ground height information of the unmanned aerial vehicle, after a measurement error is calibrated by combining flight attitude information of the unmanned aerial vehicle, the measurement error is compared with the actual flight height of the unmanned aerial vehicle, and the to-ground height of the unmanned aerial vehicle is calibrated on the basis of a pre-planned route; and the ground-imitating flight precision of the unmanned aerial vehicle is improved. According to the invention, high-precision ground-imitating equal-altitude flight route planning of the long-endurance unmanned aerial vehicle in a complex environment is realized.

The invention provides a laser peening shape correcting system and method for a high-speed carrying equipment vehicle body thin-wall component. The laser peening shape correcting system comprises a measuring module, a process design module, an integrated control module, a laser scanning module and a machining workshop. The geometric shape of the thin-wall component to be corrected is obtained through the measurement module and input to the process design module; in the process design module, laser peening correction process parameters of the thin-wall component are designed based on the measured shape and the target shape, and a laser scanning path is generated and transmitted to the integrated control module; in the integrated control module, motion parameters of the laser scanning module are calculated according to the laser scanning path, and a motion instruction is issued; and after receiving the motion instruction, the laser scanning module begins to carry out shape correction processing on the thin-wall component placed in the processing workshop. By means of the system, the problem that the geometrical shape of the vehicle body thin-wall component is out of tolerance due to assembly welding and foreign object collision is effectively solved, and the system has the advantages of being good in controllability, high in shape correcting capacity and the like and has extremely high engineering application value.

The invention relates to the technical field of furniture machining, in particular to a hardware laser cutting device for furniture machining and a cutting method.The top of the inner wall of the laser cutting device is fixedly connected with a master control frame, and the bottom of the master control frame is fixedly connected with a control mechanism; according to the laser cutting device, the control mechanism, the control frame and the transmission assembly are arranged, the problem that in the laser cutting process, due to movement or vibration of the metal fixing plate, the cutting precision is reduced can be effectively solved, the whole cutting process is high in automation degree, and operation is easy and convenient; the production efficiency and cutting precision of hardware for furniture machining are greatly improved, specifically, when a metal fixing plate is cut through laser, a bidirectional hydraulic push rod is activated firstly, a push-pull block and a push-pull cross rod are pulled to move in a C-shaped sliding groove, then a rotating rod and an L-shaped retracting and expanding rod are made to slide, and a thickness sensing clamping plate is driven to clamp the metal fixing plate.

The embodiment of the invention discloses an adhesive tape dynamic thickness detection method and system based on machine vision. The method comprises the steps that an adhesive tape image shot by a camera module is acquired; performing image processing on the adhesive tape image to obtain a processed adhesive tape image; and analyzing the processed adhesive tape image through a thickness detection model to obtain a thickness detection result. According to the embodiment of the invention, the thickness of the adhesive layer can be effectively controlled through real-time monitoring and automatic deviation correction, so that the defects of the adhesive tape are reduced.

The invention provides a rapid intelligent design method and system for a surface acoustic wave filter, and the method comprises the steps: building a physical model of a surface acoustic wave resonator based on electromagnetic simulation software, carrying out the calculation to obtain a corresponding admittance response, and obtaining a series of surface acoustic wave resonator admittance responses and key structure parameters for constructing a target surface acoustic wave filter; preprocessing the collected sample data set to form an input vector of a deep learning model; constructing a reversely designed neural network model, learning a mapping relation between structure parameters and admittance response, and predicting the structure parameters of the serial and parallel surface acoustic wave resonators; and in combination with a COM model, the admittance of the series resonator and the admittance of the parallel resonator are converted into an S matrix, so that a filtering passband is obtained. According to the method, the problems of high calculation cost and accuracy caused by complex acoustic characteristics and material parameters are avoided, the defects that a traditional numerical simulation method is time-consuming, tedious and complex in circuit topology process are overcome, and the rapid and intelligent design requirement of the surface acoustic wave filter is met.

The invention belongs to the technical field of medical sutures, and particularly relates to medical suture barb laser-assisted cutting equipment which comprises a pay-off assembly, a cutting assembly and the like, the pay-off assembly is used for releasing sutures, and the cutting assembly is used for processing barbs on the sutures. According to the cutting assembly, the first cutter for performing barb cutting processing on the suture line does not need to swing, and the cut barbs are warped outwards under the cooperation of the second cutter parallel to the movement direction of the first cutter, so that the structure for driving the first cutter in the cutting assembly is simpler, and the equipment cost is effectively reduced.

The invention discloses a once-through furnace water supply system coupled with a steam feed pump set and a hydraulic turbine booster pump set and a control method. Compared with a conventional once-through furnace water supply system, the once-through furnace water supply system is coupled with a full-flow water supply bypass system comprising a water supply bypass header, the hydraulic turbine booster pump set, a water storage tank and other equipment; the device is put into use during deep peak regulation of the once-through furnace. Detailed control strategies are elaborated on the basis and include control methods of the full-flow water supply bypass system in different stages of commissioning, dry-wet state conversion and the like. According to the method, the economical efficiency and the adjusting performance of the direct-current furnace during deep peak shaving are improved, the inlet flue gas temperature and the denitration efficiency of the SCR denitration system can be increased by improving the dry-wet state conversion load point of the direct-current furnace, and the environment-friendly performance of the direct-current furnace during deep peak shaving is improved.

The invention relates to an electric cabinet metal plate milling device which comprises a machine tool and a vacuum adsorption carrying table assembly of the machine tool. The assembly comprises an adsorption platform deck, a base and an integrated valve terminal, a negative pressure through hole in the adsorption platform deck is divided into a negative pressure concentration area and a central adsorption area, the bottom is connected with the integrated valve terminal through a pipe joint, and a proximity sensor is arranged on the outer side. Suction force of different areas is subjected to partition management through the integrated valve terminal, and the adsorption force can be dynamically adjusted according to the position of the milling cutter. When the milling cutter approaches, the valve opening degree of the corresponding area is adjusted through the integrated valve terminal, reasonable distribution of suction force is achieved, and the suction requirement of the milling cutter during machining at different positions of a thin plate can be met even if the total suction force is constant. In addition, a chip blowing mechanism is further arranged, chips can be blown away, false alarm of the sensor is prevented, machining reliability and efficiency are ensured, and the milling quality of the electric cabinet thin plate with the thickness being 1 mm is improved.

The invention discloses an intermediate double-gear axial correction value measuring device, a measuring method and a grouping matching method, and the measuring device comprises a bottom plate, and a first support device, a second support device, a helical gear positioning tooth, a straight gear positioning tooth, a gauge stand device and a contact indicating device which are disposed on the bottom plate. The first support device, the second support device, the bevel gear positioning tooth and the straight gear positioning tooth are respectively provided with a contact indicating device, and the first support device, the second support device, the bevel gear positioning tooth and the straight gear positioning tooth are completely attached to the matching face of the measured middle double gear to form a circuit loop. According to the invention, the measurement efficiency can be ensured, the measurement stability can be enhanced, the measurement difficulty is reduced, the measurement efficiency is improved, the measurement repeatability and consistency are improved, and the condition that the vibration value of the whole machine exceeds the standard or the meshing part is abnormally damaged or even scrapped due to poor meshing of gears caused by inaccurate measurement is effectively avoided.

The invention relates to a water supply network leakage identification system and method, and the method comprises the steps: carrying out the collection of an acoustic emission signal of a detected section of a water supply network through an acoustic emission collection device, carrying out the noise reduction and filtering of the acoustic emission signal through a signal noise reduction processing device in a variational mode decomposition and correlation test mode, obtaining a filtered acoustic emission signal, and carrying out the detection of the filtered acoustic emission signal. And finally, extracting the Mel-cepstrum coefficient characteristics from the filtered acoustic emission signals through a leakage identification device, and obtaining the leakage condition of the detected section of the water supply network according to the Mel-cepstrum coefficient characteristics through a deep neural calculation model. Due to the fact that the Mel-cepstrum coefficient characteristics of the acoustic emission signals obtained after noise reduction and filtering can accurately promote recognition and prediction of the leakage situation of the water supply network, it is ensured that the leakage situation of the detected section of the water supply network can be obtained by the deep neural calculation model, the leakage recognition precision is high, and human experience recognition is not needed.

The invention discloses a method for culturing seawater rotifers by using prawn shell leavening, which comprises the following steps: S1, cleaning prawn shells to obtain a fermentation substrate; s2, dynamically optimizing fermentation conditions by adopting a multi-agent collaborative reinforcement learning algorithm; s3, predicting the optimal completion time of fermentation by adopting a mixed graph convolutional neural network and an adaptive genetic algorithm, and providing dilution suggestions through a spectral analysis technology; s4, dynamically calculating the dilution ratio, and mixing the fermentation liquor with seawater; s5, pouring the diluent into a rotifer culture pond, predicting the health state of the rotifer by adopting a Vision Transform model, and automatically adjusting a nutrition formula or environmental conditions; s6, monitoring the density of the rotifers in real time through a YOLOv5 target detection model and a camera, and keeping the rotifers within a preset density range; and S7, performing intelligent management on waste treatment based on a multi-objective evolutionary algorithm of non-dominated sorting. According to the method, a multi-agent collaborative algorithm and a deep learning technology are adopted, and intelligent culture of seawater rotifers and optimized treatment of wastes are realized.

The utility model relates to the field of feed production, and particularly discloses an integrated closed solid-liquid mixed feed production line which comprises a main material adding device, at least one small material adding device, at least one liquid material adding device, a mixer and a finished product subpackaging device, the liquid material adding device comprises a liquid storage tank, a liquid inlet pump, a liquid metering scale and a liquid spraying system which are connected in sequence; an inlet of the mixing machine is respectively connected with the main material adding device, the small material adding device and the liquid material adding device; the finished product sub-packaging device comprises a finished product bin, a discharging screw rod and a sub-packaging weighing packaging machine which are connected in sequence; and an inlet of the finished product bin is connected with an outlet of the mixing machine. According to the utility model, the main material adding device, the small material adding device and the liquid material adding device are respectively arranged in front of the mixing machine, so that solid-liquid mixed feed production is realized, moisture absorption and caking of soluble materials are reduced, and the small material adding device directly communicated with the mixing machine is arranged to reduce the contact surface between small materials and wet materials.

The invention relates to the technical field of frequency converter energy saving, in particular to a mining flame-proof frequency converter energy-saving optimization system which specifically comprises an upper computer, a switch, a PID controller, a power distribution cabinet, a frequency converter, a driving motor, a belt conveyor, a laser radar sensor, a speed sensor and an intelligent frequency conversion module. In order to solve the problem that delay exists between measurement and control due to the fact that a traditional transportation scale measures the coal flow, the laser radar sensor is used for measuring the coal flow on the belt conveyor in real time through an integral method, and the measurement accuracy is improved while the hysteresis effect is eliminated; in order to solve the problem that a traditional PID control strategy is not high in control precision, the intelligent frequency conversion module is provided, and frequency conversion control over the belt conveyor is achieved in the intelligent frequency conversion module through an energy-saving optimization model based on a BP neural network and a PID control model based on a fuzzy neural network, so that high energy-saving efficiency and high reliability can be kept.

The invention discloses a control method of a double-component epoxy resin automatic metering, adding and mixing device in the field of automatic production, and the control method comprises the following steps: a control system calculates the single-disc adding amount of a component A and a component B according to the single-disc production amount and the adding ratio of an asphalt station; according to the single-disc adding amount, the metering cylinder discharges materials into the stirring cylinder; when the reduction amount in the metering cylinder reaches the single-disc adding amount, discharging is stopped; if the materials in the metering cylinder meet the feeding condition, the metering cylinder is started for feeding, otherwise, the metering cylinder is not started; starting a stirrer in the stirring drum, and uniformly stirring; according to a feeding signal of an asphalt station, the stirring drum feeds materials into the stirring pot, and when metering in the stirring drum is zero, feeding is stopped; according to the control method provided by the invention, the materials are accurately discharged into the stirring barrel by monitoring the metering in the metering barrel, and the material quantity in the metering barrel is monitored in real time, so that the discharging quantity and the feeding quantity of the materials in the metering barrel are accurately controlled, continuous automatic production is realized, and the problems of low manual discharging precision and low safety are solved.

The utility model relates to an aircraft part aperture detection mechanism which comprises a case, a conveyor belt and a visual sensor, a controller is installed on one side of the front face of the case, the conveyor belt is arranged at the top of the case, a support is fixedly installed at the rear end of the top of the case, and the visual sensor is installed above the front face of the support. According to the invention, through the visual sensor and algorithm analysis, high-precision measurement of the aperture can be realized, the problems of precision limitation and stability possibly existing in mechanical measurement equipment are avoided, the device is suitable for aperture of various shapes and sizes, and the measurement precision is improved. The device is simple in structure and high in universality and adaptability, an automatic detection mode is adopted, manual intervention is not needed, the detection efficiency is greatly improved, the production cost is reduced, meanwhile, automatic judgment and feedback of the aperture can be achieved, and the intelligent level of detection is improved.

The invention discloses a train protection curve generation method and device, equipment and a medium. The method comprises the steps that according to a preset target position point, the reverse direction of target train operation and a preset distance step length, at least one train operation interval associated with a line between the current position of a target train and the preset target position point is sequentially determined; according to the exit position, the exit speed, the route information, the acceleration limiting information and the speed limiting information of the current train operation interval and the attribute information of the target train, the entrance speed of the current train operation interval is determined; determining whether the entrance position of the current train operation interval exceeds the current position of the target train; and if yes, ending the determination of the next train operation interval, and taking a connecting line between the entrance speed and the exit speed corresponding to all determined train operation intervals as a protection curve of the target train. According to the technical scheme, the accuracy of the generated train protection curve is improved, and safe operation of the train can be guaranteed.

The invention relates to the technical field of photoelectric detection and radars, in particular to a calibration method, system and device for a radar and a laser anti-collision device and a medium, and aims to track and lock the same dynamic non-cooperative target through the laser anti-collision device and the phased array radar. Synchronously acquiring spherical coordinate observation data of the dynamic targets in the public view field under respective coordinate systems; and after the spherical coordinates are converted into rectangular coordinates, calculating a point set centroid, constructing a covariance matrix and performing singular value decomposition based on a rigid body transformation model, and directly solving a rotation matrix and a translation vector from a radar coordinate system to a laser anti-equipment-free coordinate system, thereby completing calibration. No external absolute coordinate reference is needed, only relative observation data of equipment is utilized, and the method has the advantages of being rapid in deployment, high in environmental adaptability, low in cost and high in calibration speed. The problems that in the prior art, a calibration system depends on RTK or a high-precision map, the environmental adaptability is poor, and the deployment requirement is high are solved.

The invention discloses a metal and carbon fiber thermoplastic composite material connecting structure, a fixed loading table, welding equipment and a welding process. The connection structure of the metal and the carbon fiber thermoplastic composite material comprises a metal connection strengthening structure, a metal plate, a carbon fiber thermoplastic composite material plate, a Z-shaped structure, a positioning step, a first welding surface, a second welding surface, a metal plate welding surface, a first area and a second area, the second welding face is connected with the first face of the carbon fiber thermoplastic composite material plate in a welded mode, and the second area is connected with the second face of the carbon fiber thermoplastic composite material plate in a welded mode. The fixed loading platform comprises an upper fixed loading platform and a lower fixed loading platform; the welding equipment comprises a fixed loading table, laser welding equipment and a load applying mechanism. According to the method, the connection strength, stability and reliability of the metal and carbon fiber thermoplastic composite material are improved, the welding accuracy and welding quality are improved, and the performance consistency of the connector is guaranteed.

The invention belongs to the field of artificial intelligence and insurance, and relates to a car insurance certificate image auditing method, which comprises the steps of obtaining a to-be-audited car insurance certificate image, and performing type identification on the car insurance certificate image by adopting a certificate type identification model to obtain a certificate type of the car insurance certificate image; according to the certificate type, carrying out content identification on the vehicle insurance certificate image by adopting a certificate content identification model, and extracting certificate information of the vehicle insurance certificate image; acquiring insurance information corresponding to the to-be-audited vehicle insurance certificate image, and performing consistency verification on the certificate information and the insurance information; and if the consistency verification is passed, judging that the vehicle insurance certificate image passes automatic auditing, and determining that a certificate corresponding to the vehicle insurance certificate image is a compliant certificate. The invention further provides a vehicle insurance certificate image auditing device and equipment and a storage medium. In addition, the invention also relates to a block chain technology, and certificate information and the like can be stored in a block chain. The auditing efficiency of the vehicle insurance certificate image can be improved.

The invention discloses a numerical control machine tool linear shaft which comprises a rolling guide rail assembly. The linear motor driving unit comprises a brushless direct current motor and a stator and a rotor which are matched with the brushless direct current motor, and provides driving force for linear motion for the rolling guide rail assembly; the intelligent temperature control module comprises a temperature sensor, a cooling device and a control unit, the temperature sensor is used for monitoring the temperature change of a sliding block in the rolling guide rail assembly in real time, and the control unit receives a feedback signal of the temperature sensor and controls the cooling device to work; and the position adjusting module comprises a high-precision sensor, a controller and an executing mechanism. The working temperature of the linear shaft can be monitored and adjusted in real time, the influence of temperature change on precision is effectively reduced, and high precision and stability of the linear shaft in long-time working are ensured; and meanwhile, position errors can be detected and compensated in real time, the limitation of a linear shaft of a traditional numerical control machine tool on position precision is broken through, and higher machining precision and surface quality are achieved.

This invention discloses a method and system for testing the dynamic braking torque of elevators, belonging to the field of elevator safety inspection technology. Addressing the problems of existing elevator dynamic braking torque tests relying on indirect contact measurements, which suffer from inconvenient installation, accuracy drift, inability to directly reflect the true braking state of the traction sheave, large transient errors, and lack of calibration benchmarks, this invention employs high-speed visual non-contact measurement of the traction sheave flange angular displacement. Hardware synchronization pulses are used to align the clocks of multiple sensors, fusing angular displacement, angular velocity, angular acceleration, and multi-source parameters such as current, temperature, and vibration. Direct dynamic terms are introduced to construct a dynamically optimized torque fusion calculation model. This invention can output a high-precision dynamic braking torque curve, and also features online calibration and fault diagnosis functions, effectively improving the accuracy and reliability of elevator braking performance testing. It is suitable for elevator periodic inspections and safety assessments.

The utility model provides a punching device, which relates to the part punching field, and comprises a support seat (10), a punching table (20), a positioning support (30), a fixed seat (40), a lifting platform (50) and a positioning seat (60), the punching table (20) is arranged on the upper side of the support seat (10), the end face of the punching table (20) is provided with the positioning support (30), the top end of the positioning support (30) is provided with the fixed seat (40), and the bottoms of the positioning support (30) and the fixed seat (40) are respectively provided with a clamping mechanism; a sliding lifting table (50) is arranged between the positioning supports (30) and located on the lower side of the fixing base (40). The positioning seat (60) is arranged on the lower side of the lifting table (50), guide rods (62) are arranged on the two sides of the end face of the positioning seat (60) respectively, the top ends of the guide rods (62) penetrate through the lifting table (50) and are in sliding connection, and first springs (62) are arranged between the positioning seat (60) and the lifting table (50) and located on the outer rings of the guide rods (62). According to the punching device, in the punching process, the automobile support can be clamped and pressed at the same time, and the punching precision is ensured.

This invention discloses a UAV inspection method and system for bridge bearings. The method includes: planning a strip-shaped flight path and constructing a coarse 3D point cloud model of the bridge; then planning a scanning flight path around the bridge's outer envelope to collect fine point clouds of bridge components; firstly, using a small amount of labeled data combined with pseudo-label generation and knowledge distillation to complete lightweight training of the PointNet model; then, strengthening structural association features through a contextual attention mechanism and generating virtual points using an occlusion region feature completion method to complete the occluded region and obtain a complete bearing point set; finally, extracting bearing geometric parameters by weighted noise point removal, iteratively fitting bounding boxes, and smoothing; planning a flight path based on the bearing's location to collect the bearing's surface image; then performing image cleaning and enhancement processing, and finally identifying surface defects using image recognition methods to generate an inspection report. Comprehensive technical support is provided.

The invention relates to the technical field of optical communication, in particular to an optical interconnection device based on a diffraction grating. The device comprises a plurality of input ports, a diffraction grating coupler and a plurality of output ports which are arranged in sequence, a plurality of input ports for receiving a plurality of optical signals of different wavelengths; and the diffraction grating coupler is used for improving the coupling efficiency of a target optical signal in the plurality of optical signals based on temperature adjustment, and outputting the target optical signal to a target output port of the plurality of output ports. In the invention, the diffraction grating coupler is dynamically adjusted through temperature control to change the transmission direction and the coupling efficiency of the transmission signal, and optical signal routing from any input to any output is realized. The limitation of a traditional optical interconnection fixed optical path is broken through, and greater flexibility is provided for a complex communication network. And meanwhile, the diffraction grating coupler is regulated and controlled by temperature to realize optical path switching, so that the problems of high power consumption and low precision in mechanical regulation are avoided.

This invention belongs to the technical field of engine crankcase technology, specifically relating to a gas pressure decay monitoring method for engine sealing performance testing. The method includes: acquiring initial test parameters of the internal cavity and the environment; after entering the pressure stabilization stage, calculating the thermo-pressure coupling degree of free space and thermal equilibrium convergence potential energy by combining cavity volume shrinkage and sensor temperature drift, and mapping these to residual thermal disturbance confidence level, thereby intelligently and adaptively trunculating the pressure stabilization stage; during the testing stage, obtaining the true pressure through basic temperature and pressure compensation, thermal disturbance aging correction, and environmental transient thermal shock compensation; finally, calculating the decay rate based on the true pressure to determine sealing performance. This invention achieves intelligent truncation of the pressure stabilization process, ensuring testing accuracy while avoiding production cycle delays; it only reflects physical gas loss, reducing the misjudgment rate of good products caused by environmental interference in assembly line production.