208results about How to "Reliable solution" patented technology

The invention discloses a smart power grid fault early warning and diagnosis system, and relates to the technical field of smart power grids. Comprising a multi-modal data acquisition and fusion module, a deep reinforcement learning early warning module, a fault diagnosis module based on a graph neural network, an adaptive diagnosis module integrated with multi-task learning, an edge calculation and cloud collaboration module and a system test and verification module, and comprises the following steps: step 1, acquiring multi-source data through a power sensor, an intelligent electric meter and a meteorological station; dimension reduction and feature fusion are carried out on the data by using a depth auto-encoder model; 2, importing the collected data into a deep reinforcement learning early warning module, and dynamically adjusting an early warning strategy through interaction with a power grid operation environment; 3, a fault diagnosis module based on the graph neural network analyzes the topological structure of the power grid and identifies a fault position; 4, learning a model and processing a fault type; 5, edge calculation and cloud cooperative work are combined; and 6, testing, verifying and optimizing the model by the system testing and verifying module.

An RFID tag interference solving method based on a density peak value clustering algorithm reduces signal interference between tags and improves reliability and identification precision of a system by dynamically adjusting priorities and time windows of RFID tags. The method comprises the following core steps: firstly, acquiring a label response signal through an RFID reader-writer; secondly, preprocessing the data, and removing noise and abnormal values; then, calculating the local density of the label signal, and identifying a density peak value region by using a clustering algorithm; then, reducing signal collision of tags in a high-density region by dynamically adjusting priorities and time windows of the tags in the region, and preferentially processing the tags; and finally, outputting a processed tag identification result. According to the invention, the problem of signal interference in a high-density RFID tag environment is obviously solved, the identification accuracy and the operation stability of the system are improved, and the method is suitable for various high-density tag application scenes.

The invention discloses a path planning method and system for obstacle avoidance of a humanoid robot. The method comprises the following steps: acquiring an environment image of the humanoid robot, and processing the environment image by using a self-adaptive threshold segmentation method to obtain an obstacle area and a barrier-free area; using an obstacle segmentation algorithm based on region growing to identify and obtain an obstacle contour frame; a double-view-angle monocular vision positioning method is used, and position coordinates of the obstacle in the space are obtained through calculation; and obtaining a path planning result by using a dynamic detection and branch expansion path planning algorithm. The system comprises an environment image processing module, an obstacle contour frame segmentation module, an obstacle positioning module and a path planning module. By integrating various advanced algorithms, the precision of obstacle recognition and environmental perception is improved, and efficient obstacle avoidance and stable walking of the humanoid robot in a complex environment are realized by comprehensively considering factors in multiple aspects such as environmental perception, path planning and motion control.

The invention provides an image restoration method and system based on dynamic decomposition and fusion, and the method comprises the steps: decomposing a to-be-restored image with hybrid features according to a degradation mode, and extracting degradation features of which the number is the same as the type number of the degradation mode; respectively processing each degradation feature to obtain a recovery feature corresponding to each degradation mode; and the recovery features are dynamically fused to obtain a clear recovery image with the same size as the to-be-recovered image, so that the function of performing high-quality recovery on the complex hybrid image is realized. According to the method, the recovery feature map is decomposed, processed and fused under multiple scales, the recovery feature map fusing the recovery features of the multiple scales is obtained, and the visual effect of hybrid image recovery is improved. According to the method, the symmetric U-shaped network is constructed based on the corresponding model formed by the method, and the processing sub-module corresponding to the degradation mode is constructed, so that complex and diversified degraded images in a real environment are well dealt with, and an efficient and reliable solution is provided for the field of image restoration.

The invention discloses a face emotion perception recognition method based on rPPG signals and three-dimensional normal vector assistance, and relates to the technical field of face recognition, and the method comprises the steps: carrying out the extraction of a face three-dimensional normal vector of a face video frame through employing a Medipe module, and then extracting a feature vector fnv of the face three-dimensional normal vector; meanwhile, an MTTS-CAN network architecture module is adopted to carry out rPPG signal extraction, and then an rPPG signal feature vector frPPG is extracted; and inputting the face three-dimensional normal vector feature vector fnv and the rPPG signal feature vector frPPG into a feature fusion classification model to obtain a final emotion perception result. According to the invention, the two different sources of face signals are ingeniously integrated and are applied to facial expression recognition of the face, so that the accuracy of face emotion perception is improved.

The invention discloses an air drying system for seasoning packaging containers, comprising a conveying mechanism which is horizontally supported by a bracket; the automatic stacking mechanism is arranged above the feeding end of the conveying mechanism and is used for uniformly stacking the packaging containers on the conveying mechanism for conveying; the air shower mechanism is arranged at the bottom of the conveying mechanism and inputs positive pressure air to the conveying surface of the conveying mechanism; the conveying face of the conveying mechanism keeps ventilated, and the automatic stacking mechanism buckles the open ends of the packaging containers to the conveying face of the conveying mechanism. The air-drying system can be used for rapidly air-drying the cleaned packaging containers, the packaging containers can be automatically stacked through the automatic stacking mechanism arranged at the front end of the conveying mechanism according to the width of the conveying mechanism, and then the opening ends of the packaging containers are buckled to the conveying face of the conveying mechanism, so that drainage is facilitated; and the air shower mechanism is combined, so that the packaging container can be conveniently air-dried, and the packaging container can be conveniently filled with materials after being sterilized subsequently.

The invention relates to the technical field of unmanned aerial vehicle pavement settlement measurement, in particular to an unmanned aerial vehicle-mounted InSAR pavement settlement measurement method, system and device and a medium, and the method comprises the following steps: an unmanned aerial vehicle collects pavement image data; image registration is carried out on the road surface image data, and positions of corresponding pixels in the main image and the auxiliary image are accurately paired; a multi-view processing algorithm is called to process the road surface image data; performing differential interference processing on the road surface image data to generate a differential interference pattern; performing coherence estimation and baseline estimation on the differential interferogram; performing horizon correction processing, filtering processing and phase unwrapping on the differential interferogram in sequence; converting the phase into relative deformation of the pavement; and obtaining a pavement deformation result. According to the invention, high-efficiency and reliable pavement deformation measurement is realized by using the advantage of high spatial resolution of earth observation of the InSAR technology and based on high sensitivity of the X-band synthetic aperture radar full-polarization heavy rail interference measurement technology to fine deformation.

The invention provides an injection mold convenient to demold, and belongs to the technical field of injection molds, the injection mold convenient to demold comprises a fixed mold base, a movable mold base and a mounting plate mounted at the bottom of the fixed mold base, and further comprises a gradient cooling assembly and a magnetic sealing assembly; according to the mold, the gradient cooling assembly and the magnetic sealing assembly are integrated, a stepped cooling environment is created at the fixed mold core and the movable mold core, the cooling requirements of different parts of an injection molding part are met, and the quality of the injection molding part is improved; when the mold is not closed, the liquid guide pipe is tightly sealed by the ball plug, so that external dust or water vapor is effectively prevented from entering the mold, and meanwhile, a stepped cooling environment is favorably created; the magnetic sealing assembly can achieve dynamic sealing between the liquid guide pipe and the liquid guide opening in the mold closing and separating process of the mold, and when the mold is closed, cooling liquid is prevented from flowing through a gap; and when the mold is separated, the air bag is gradually deflated and is recovered to an unsaturated state, so that the liquid guide pipe can be conveniently drawn out, the friction force is reduced, and the wear degree of the air bag is reduced.

The invention discloses a single-face array low-altitude radar target recognition system based on deep learning, and the system comprises a data collection module which obtains the radar echo data of different targets in various environments, a receiver has a specific sampling frequency and a dynamic range, the collection time is set according to the characteristics of the targets, and the data is compressed and stored; the data preprocessing module is used for denoising, clutter suppression and normalization; the feature extraction module extracts features by using CNN; the target recognition module classifies and recognizes a target; the model training and optimizing module is used for training a model and optimizing parameters; and the visual display module displays the result. According to the invention, data can be accurately collected and efficiently preprocessed, target features are accurately extracted and recognized by using deep learning, the model is optimized to improve the accuracy, the result can be visually displayed, the accuracy, real-time performance and reliability of low-altitude radar target recognition are effectively improved, and the monitoring requirements are met.

The invention relates to the technical field of automatic driving, in particular to a foggy day scene generation method and system for an automatic driving simulation test. The method comprises the following steps: S1, according to a scene description file, generating an automatic driving scene required by corresponding sensor configuration in a CARLA simulator; s2, in a foggy day scene of the scene description file, the CARLA simulator obtains parameter configuration of a sensor corresponding to the automatic driving main vehicle; s3, constructing a sensor simulation model according to the parameter configuration of the corresponding sensor; and S4, combining the automatic driving scene with the automatic driving main vehicle to form an automatic driving simulation test environment of the CARLA simulator, accessing the automatic driving tested object into the automatic driving simulation test environment, and executing in-loop test. According to the invention, an automatic driving simulation scene is constructed based on a CARLA simulator, a laser radar fog simulation algorithm based on physical modeling is innovatively designed, and the sensor simulation capability of a driving scene in a foggy day is realized.

The invention discloses an indoor moving target positioning method and system based on machine learning, particularly relates to the technical field of indoor positioning, and is used for solving the problems that an existing indoor positioning method cannot adapt to the dynamic change of a signal path in real time in a non-independent scene of motion behaviors between targets, and the positioning precision is reduced. The method comprises the following steps: acquiring multi-source positioning data of a plurality of moving targets, and grouping the data to form a moving target signal sequence; extracting multi-dimensional feature vectors according to signal propagation path characteristics and interaction characteristics between targets; a target feature model is generated through deep neural network modeling, and initial position information is predicted; when a group behavior change is detected, analyzing signal path characteristics and distribution complexity in combination with a high-order graph convolutional network and a multi-scale embedded entropy; judging the group synchronization degree according to the signal overlapping degree and the distribution convergence speed; and finally, correcting the initial position information based on the group synchronization degree, and outputting a precise positioning result.

The invention, which relates to the technical field of carbon emission calculation, discloses a BIM-based subway engineering muck output and carbon emission calculation system comprising a muck output calculation module, a muck landfill land occupation calculation module, a parameter setting module and a muck carbon emission calculation module. The muck generation amount calculation module is used for automatically obtaining BIM model structure parameter data and automatically calculating the muck generation amount through a subway engineering muck generation amount calculation model; the muck landfill occupied area calculation module is used for automatically calculating the landfill occupied area by combining the landfill proportion, the loosening coefficient and the landfill depth data; the parameter setting module is used for setting various carbon emission factor parameters and energy consumption parameters and laying a data foundation for carbon emission calculation; the muck carbon emission calculation module is used for calculating the muck full-life-cycle carbon emission according to the data of the three modules in combination with a full-life-cycle carbon emission quantitative model; according to the method provided by the invention, the calculation process is optimized, and the calculation period is shortened.

The present invention relates to the technical field of waterproofing coiled materials, and discloses a composition for polyvinyl chloride waterproofing coiled materials, a polyvinyl chloride waterproofing coiled materials, and a preparation method and application thereof. The composition contains polyvinyl chloride, ethylene-vinyl acetate-carbon monoxide copolymer, a plasticizer, a filler, expandable microspheres, a crosslinking agent, and an antioxidant; relative to 100 parts by weight of polyvinyl chloride, the content of ethylene-vinyl acetate-carbon monoxide copolymer is 10-40 parts by weight, the content of the plasticizer is 35-50 parts by weight, the content of the filler is 20-55 parts by weight, the content of the expandable microspheres is 1-3 parts by weight, the content of the crosslinking agent is 1-3 parts by weight, and the content of the antioxidant is 0.1-0.4 parts by weight. The polyvinyl chloride waterproofing coiled material not only has strong tensile strength and elongation, but also has good waterproof function while being able to insulate and heat.

The invention provides a coal mine underground video dust filtration monitoring method based on model fusion, and belongs to the technical field of coal mine underground video dust filtration monitoring. The technical problem to be solved is to provide the coal mine underground video dust filtration monitoring method based on model fusion. According to the technical scheme, video data of an underground operation area environment are collected in real time through a camera installed in an underground coal mine, the video data are uploaded to a server arranged in a roadway in real time, the server firstly intercepts image frames from the underground coal mine video, timestamp marking is conducted on the image frames, and the image frames are sent to the roadway; carrying out histogram equalization preprocessing on each image frame, and improving the brightness and contrast of the collected video image to realize image enhancement; the server further adopts a dark channel prior method to carry out data recovery on the video image, a fuzzy effect caused by dust on the image is removed, and the real definition of the image is recovered; the method is applied to coal mine underground video dust filtration monitoring.

The invention discloses a security check system for roll-on and roll-off vehicles, belongs to the technical field of security check systems, and provides a flexible and reliable solution by fully considering complexity and diversity of port and navigation environments in the design of the system. The unique innovation points and functions should serve as key protection technical schemes, uniqueness and wide application prospects of the patent are ensured, mobile operation scene support is achieved, and efficient application of ports and shipping parties in the mobile operation scene is supported. A user is not limited by fixed ticket checking equipment any more, and operation can be carried out at any place such as a wharf and a cabin. Due to the flexibility, related business operation is more convenient and efficient, the dynamic requirements of modern port and navigation business are greatly met, the security check efficiency and accuracy are improved, and a user can quickly enter a working state to perform identification and data acquisition on various certificates and bills by innovatively using a handheld terminal authorization and login mechanism.

The present application relates to a terpene resin with controllable molecular weight and a preparation method thereof. A preparation method of a terpene resin with controllable molecular weight comprises: mixing β-pinene with ethylene glycol to obtain a mixture; mixing toluene and a catalyst at ‑5 to 5°C until uniform; dropping the mixture and keeping it warm at 5‑10°C for 1‑3h; removing the catalyst; desolventizing toluene and discharging the material, wherein the mass ratio of toluene to β-pinene is (1‑1.15): 1, the amount of the catalyst is 3.5‑5% of the mass of β-pinene, and the amount of ethylene glycol is 0.04‑0.07% of the mass of β-pinene. The present application can achieve precise control of the molecular weight of the terpene resin, prepare a terpene resin product with stable performance, and meet the high standard requirements of sanitary tape for viscosity, anti-aging and aviation electronic tape to enable it to perform accurately and stably in avionic electronic instruments, and broaden its application range in high-end applications such as medical, food, and aviation.

The invention relates to terpene resin with controllable molecular weight and a preparation method thereof. The preparation method of the terpene resin with the controllable molecular weight comprises the following steps: mixing beta-pinene with ethylene glycol to obtain a mixture; uniformly mixing the toluene and the catalyst at-5 to 5 DEG C; dropwise adding the mixture, and keeping the temperature at 5-10 DEG C for 1-3 hours; removing the catalyst; the mass ratio of methylbenzene to beta-pinene is (1-1.15): 1, the use amount of the catalyst is 3.5-5% of the mass of beta-pinene, and the use amount of ethylene glycol is 0.04-0.07% of the mass of beta-pinene. According to the invention, accurate control of the molecular weight of the terpene resin can be realized, a terpene resin product with stable performance can be prepared, and high-standard requirements of a sanitary adhesive tape on viscosity and aging resistance and performance, such as accurate and stable performance operation of an aviation electronic adhesive tape in an aviation electronic instrument, can be met; and the application range in high-end application occasions such as medical treatment, food, aviation and the like is widened.

The invention relates to the technical field of casting machines, in particular to a multi-station flange casting mechanical device which comprises a driving base, a combined roller, a combined mold and a feeding barrel, a plurality of flange cavities are formed in the combined mold at intervals, the multi-station flange casting mechanical device further comprises a hollow flow dividing barrel, and the flow dividing barrel is horizontally installed on the feeding barrel in a communicating mode. A plurality of discharging holes communicated with the interior are formed in the flow dividing cylinder at intervals, and the discharging holes correspond to the flange cavities in a one-to-one mode; according to the multi-station flange casting mechanical device, through an optimized liquid metal distribution and flow control system, especially through the design of the hollow flow dividing cylinder and the separation rings in the hollow flow dividing cylinder, uniform distribution and accurate control of liquid metal in a plurality of flange cavities are achieved, the flow dividing cylinder is not prone to falling off, and the production efficiency is improved. In addition, the device is further provided with an efficient blocking and driving system, the accuracy and synchronism of liquid metal filling are guaranteed, and the casting quality problem caused by uneven pouring is avoided.

The invention relates to the technical field of electrochemistry, and discloses a novel ionic crosslinking type high-conductivity amphoteric membrane which comprises the following components in percentage by mass: 50% of side chain ionic crosslinking type fluorine-containing branched sulfonated polyimide, 25% of polybenzimidazole, 0.5%-1% of polydopamine functionalized carbon nanotubes, 5% of polyether amide and 5% of a siloxane durability improver. The polydopamine functionalized carbon nanotube can be replaced by a graphene oxide, the polydopamine functionalized carbon nanotube and the graphene oxide are both nanoscale fillers, and the ionic liquid is one of ethyl-3-methylimidazole sulfonate and a polymer electrolyte-based ionic liquid. By optimizing the proportion design of the ionic cross-linked membrane, the conductivity and chemical resistance can be improved by adding a conductive reinforcing agent such as polydopamine functionalized carbon nanotubes and a hydrophilic agent such as polyether amide, meanwhile, the high-temperature stability and ionic conduction performance are optimized, and the electrochemical application requirements are met.

The invention belongs to the technical field of high polymer materials, and discloses an antibacterial high-flame-retardant ABS composite material and a preparation method thereof, the antibacterial high-flame-retardant ABS composite material is processed from the following raw materials by weight: 100 parts of ABS resin, 15-25 parts of a composite flame retardant, 1-2 parts of a deodorant, 2-5 parts of a compatilizer, and 2.5-12 parts of a composite antibacterial agent. The ABS material has certain flame retardance, and ammonium polyphosphate, melamine polyphosphate, nano silicon dioxide and expanded graphite are mixed and added, so that the flame-retardant material can be decomposed at high temperature to generate a large amount of gas and water vapor, a protective layer is formed, flame spreading is prevented, the flame retardance of the material is greatly improved, and the flame-retardant performance of the material is improved. And by adding the compatilizer and the deodorant, the compatibility among the materials is high, no peculiar smell exists during production, the comfort degree during use is improved, the material is safe and environment-friendly, the product performance is improved, it is ensured that the material can be used in different fields, and the universality and practicability are improved.

The invention discloses an intelligent manufacturing anomaly detection method based on intrinsic parameter learning, and belongs to the field of artificial intelligence, and the method comprises the following steps: inputting a high-dimensional multispectral data set to a machine learning model, the high-dimensional multispectral data set comprising high-dimensional multispectral data features and label information corresponding to the high-dimensional multispectral data features; classifying the model parameters based on the high-dimensional multispectral data features and the label information corresponding to the high-dimensional multispectral data features to obtain internal parameters and external parameters; optimizing the internal parameters to obtain optimized internal parameters, and optimizing the external parameters to obtain optimized external parameters; and carrying out constraint optimization enhancement on the optimized internal parameters, carrying out target function normalization processing to obtain a final target function, and obtaining an out-of-distribution sample detection result based on the final target function.

The invention provides an underwater robot cooperative control method which comprises the steps that current step facility node detection data collected by at least one first target underwater robot executing an underwater facility detection task are acquired, and each first target underwater robot corresponds to one current step facility node detection data; determining at least one second target underwater robot executing the underwater facility detection task in the next step based on the facility node detection data in the current step; and according to an execution instruction of the underwater facility detection task in the next step, issuing the execution instruction to the at least one second target underwater robot. Through intelligent task allocation and data analysis, the efficiency, accuracy and flexibility of underwater facility detection can be remarkably improved, meanwhile, energy consumption and cost are reduced, and an efficient and reliable solution is provided for underwater facility detection.

The invention discloses a database storage method, which realizes high optimization of a storage space by finely classifying key value pairs and storing the key value pairs in different regions. The recovery frequency is dynamically adjusted, only the key value pairs marked as deleted are erased, storage fragments and the erasure frequency are reduced, the storage efficiency is improved, and the service life of storage equipment is prolonged. When the sectors are recycled, adjacent idle and invalid sectors are combined, so that the storage space utilization rate and the access efficiency are improved. When the new key value pairs are stored, the new key value pairs are preferentially distributed from the combined sector pool, the storage process is simplified, and the response speed is increased. The data access frequency and the sector erasure life are combined, the merged sectors are finely grouped, resource allocation is optimized, and the data access efficiency is improved. And meanwhile, a direct local modification technology is adopted, so that data migration and rewriting are reduced, and the updating operation efficiency is improved.

The invention relates to the field of biotechnology primer design, in particular to a target species specific primer design system, method and device based on information entropy. The system comprises a data acquisition module, a data screening module and a data optimization module, the data screening module is used for acquiring short sequence fragment data with identity and coverage greater than or equal to 80%, and the data optimization module is used for processing the short sequence fragment data with identity and coverage greater than or equal to 80%. According to the method, short sequence fragments covering 90% of genomes are screened out, the entropy value of each basic group in the short sequence fragments is obtained, quantitative scoring is conducted on the short sequence fragments according to the entropy values and coverage degree information, the short sequence fragments with the top scores are screened out, the basic groups are replaced with the most conservative basic groups, and the optimized short sequence fragments are obtained. And designing primers based on the short sequence fragments. According to the system, entropy analysis is introduced in the primer design process, and the design quality and application efficiency of primers are remarkably improved.

The utility model discloses a Lamberg distribution tester which comprises an instrument cabin, a diaphragm is arranged in the instrument cabin, a spectrograph is arranged on one side of the diaphragm and connected with the diaphragm through an optical fiber, a rotating table is arranged on the other side of the diaphragm, a light-emitting device is arranged on the rotating table, and the rotating table drives the light-emitting device to rotate. And light emitted by the light-emitting device passes through the diaphragm and then is input into the spectrograph. Furthermore, a calibration light source is arranged on one side of the diaphragm, the calibration light source is connected with the diaphragm through an optical fiber, and light emitted by the calibration light source passes through the optical fiber, penetrates through the diaphragm and reaches a light emitting point of the light emitting device. In conclusion, according to the Lamberg distribution tester provided by the embodiment of the invention, through the innovative designs such as the subdivision design, the high-precision diaphragm, the high-resolution spectrometer and the rotatable light-emitting device, the stability, flexibility and accuracy of a test system are remarkably improved, and an efficient and reliable solution is provided for the test of light source characteristics.

The invention relates to the technical field of natural language processing, in particular to an entity relation joint extraction method and system. Cross-span semantic clues are gathered in a channel dimension through a full-sentence semantic focusing unit so as to suppress semantic drift under long-distance dependence, and relative direction and distance information between entities is converted into learnable modulation quantity through an entity-to-geometric prior injection unit so as to reduce pairing ambiguity. And distinguishing subject and object representations through a subject-object directional interaction unit to carry out directional convergence so as to avoid role confusion, and finally realizing joint prediction of entity boundaries and relation types in a unified framework. According to the system, the stability and the accuracy of an extraction result can be remarkably improved in a multi-entity coexistence and relation overlapping scene, entity boundary intersection and subject-object inversion errors are reduced, the structured triad can be directly generated without relying on a post-processing rule, and a more reliable solution is provided for application such as knowledge graph construction and text analysis.

The invention discloses a portable rice and wheat combine harvester which is mainly used for scientific researchers to collect a small amount of rice and wheat or similar crop samples. The device comprises a harvesting part, a threshing and cleaning part, a backpack type negative pressure storage part and a power system. The harvesting part is used for shifting rice and wheat ears into the cutting mechanism through an ear shifting mechanism to cut off ear stems and sending the ear stems into the threshing and cleaning part, the threshing and cleaning part is used for threshing and cleaning the ears through a rotating threshing roller and a fan, and the backpack type negative pressure storage mechanism is used for extracting threshed and cleaned grains through a fan and a conveying hose, removing impurities and storing the grains. The device is compact in structure, light in weight and convenient to carry, disassemble, assemble and clean through modular design, and meets the sampling requirements of various crops. The equipment is simple to operate, can efficiently complete the whole process of harvesting, threshing and storing, is high in sample purity and cleanliness, is low in loss, remarkably reduces the labor intensity, improves the working efficiency, and can be widely applied to the fields of agricultural scientific research, breeding tests, germplasm resource protection and the like.

The invention relates to the technical field of defect detection, in particular to a tall tower hidden danger detection unmanned aerial vehicle touch vision detection device which comprises an unmanned aerial vehicle, an external vision sensor and a touch vision device. The unmanned aerial vehicle carries the touch vision device and the external vision sensor to fly up and down, left and right; the touch vision device is a touch vision sensor and is composed of a sensing part, a thin film skin part and a skin fixing ring, and when the touch vision sensor is used, the surface of the touch vision sensor makes contact with a detection surface, the texture of the detection surface is fitted out, and whether flaws exist or not is detected; the external visual sensor directly acquires image data of the detection surface to obtain obvious flaw data of the detection part; through combination of the unmanned aerial vehicle and the touch sensing device, the problems of high cost, safety risk, poor environmental adaptability and the like in a traditional detection method are solved, the detection efficiency and accuracy are improved, and a reliable and economical solution is provided for safety maintenance of the tall tower.

The utility model discloses a pump oil system spring seal and plunger integrated press fitting device which is characterized by comprising a connecting block fixedly installed on a piston rod of a press machine, an outer sleeve is fixedly installed at the lower end of the connecting block, a sliding shaft is installed in the outer sleeve in a sliding mode, and a spring is arranged between the sliding shaft and the lower end of the outer sleeve. The sliding shaft is located at the lowest position under the action of the spring; two-stage stepped holes are formed in the lower end of the sliding shaft, a plunger pressing head is installed in the small-diameter hole, a spring sealing pressing head is installed in the large-diameter hole, and the spring sealing pressing head is fixed through a tightening screw arranged at the lower end of the sliding shaft in the radial direction. In conclusion, the special structure and material design are adopted, it is ensured that enough pressure and stability can be provided in the press-fitting process, and therefore it is ensured that the spring seal and the plunger can be accurately and reliably pressed into the hole of the plunger sleeve. Meanwhile, the device further has good adaptability and flexibility and can meet the assembly requirements of oil pumping system components of different specifications and models.

The utility model provides a whole type tin forest tray surface plating equipment relates to tin forest tray plating technical field, including installation support, in the utility model, through the swing mechanism, translation mechanism and the coordinated operation of rotating mechanism, realized tin forest tray in the multidimensional motion control in the plating process, swing mechanism passes through the cooperation of transmission disc, sliding sleeve and sliding rod, converts the circular movement into the reciprocating swing of storage tank, makes the plating liquid multi -angle effect to tin forest tray surface, promotes the uniformity of plating layer, through the screw rod drive plating assembly horizontal removal, expands the plating range, need not manual adjustment work piece to complete large -area plating, rotating mechanism passes through the multistage reduction drive of gear and belt pulley, makes the tin forest tray stable rotation of placing dish drive, optimizes the contact angle of plating liquid and work piece surface, is applicable to the plating treatment of complex structure, three three -dimensional compound movement modes formed by the combination, breaks through the function limitation of traditional equipment, improves plating quality and efficiency greatly.