453 results about "Bad weather" patented technology

The invention relates to the field of channel management, in particular to an intelligent channel management method and system based on multi-source data fusion. The invention discloses an intelligent navigation channel management system based on multi-source data fusion. The system comprises a combined ship identification module, a positioning frequency updating module, a collision risk assessment module and an intervention management module. According to the invention, the system can sense multi-dimensional environmental parameters such as illumination intensity, visibility, AIS signal quality, radar echo signal-to-noise ratio and the like in real time by constructing a combined ship identification model containing AIS, radar, vision and infrared, and dynamically adjust the fusion weight of each sensor to compensate for the deficiency of a single sensor; according to the method, the robustness of ship dynamic monitoring is improved, high-precision tracking can be kept in severe weather, the data redundancy contradiction of a traditional multi-sensor system is avoided, and therefore continuous and stable target state input is provided for follow-up risk analysis.

The method focuses on the technical field of communication, and the communication connection problem under the cooperative operation scene of the unmanned vehicle and the unmanned aerial vehicle is accurately positioned. In practical application, communication connection is troubled by a complex environment, signals are prone to strong interference, the transmission distance is obviously limited, and double requirements of real-time performance and accuracy are difficult to consider in the aspect of data transmission characteristics during cooperative operation of the two. According to the invention, ZigBee, 5G, satellite communication modules and multi-mode communication modules are integrated, an adaptive protocol is optimized, channels are sensed in real time, the channels are selected and switched through an intelligent algorithm, signals are enhanced through directional antennas and beam forming, interference resistance is realized through adaptive filtering and error correction coding, and stability is guaranteed by means of link monitoring and a self-healing mechanism. According to the method, reliable interaction of data between the unmanned vehicle and the unmanned aerial vehicle in a complex environment can be ensured, and real-time and accurate transmission of monitoring data can be ensured even in case of strong electromagnetic interference or severe weather.

The invention, which relates to the technical field of highway traffic safety monitoring, discloses an expressway pavement ice condensation monitoring system comprising a data acquisition module for acquiring environmental data and pavement icing state information on an expressway pavement; and the self-calibration module is connected with the data acquisition module, performs self-calibration on the data acquisition module according to the environment data acquired in real time and the road surface icing state information, and corrects sensor errors caused by external environment factors. According to the highway pavement ice condensation monitoring system, a self-calibration function is added in monitoring equipment and an intelligent algorithm is introduced, so that the monitoring system can automatically correct measurement errors caused by external environment changes in real time, and a machine learning model is combined to predict pavement conditions more accurately; the working stability of the system in severe weather can be improved, and the risk of icing of the road surface can be found earlier, so that more accurate early warning information is provided for a traffic management department, and the probability of traffic accidents is reduced.

The invention provides a road inspection method and device in severe weather, electronic equipment and a storage medium, and the method comprises the steps: carrying out the recognition processing of a scene image through a road inspection model, and obtaining a road inspection result of a target road; the training process of the road inspection model comprises the following steps: acquiring a data set, wherein the data set comprises a severe weather image; performing feature extraction on the data set by adopting a pyramid network to obtain a plurality of levels of first feature extraction results; when information fusion is carried out on the first feature extraction results of the multiple levels, feature adaptation processing is carried out according to the first feature extraction results, and a second feature extraction result is obtained; performing feature enhancement modulation on the second feature extraction result by adopting double branches, and merging feature enhancement modulation results to obtain a modulation feature map; and predicting the modulation feature map to obtain a prediction result. The method has the beneficial effect that the vehicle type identification accuracy during road inspection in severe weather is improved.

The invention discloses a one-stage severe weather fruit detection method based on dynamic coding, and the method comprises the steps: collecting fruit image data on site in an agricultural scene, carrying out the data preprocessing of the collected image data, setting the hyper-parameters of a to-be-constructed one-stage severe weather fruit detection model based on dynamic coding, and carrying out the calculation of the hyper-parameters of the to-be-constructed one-stage severe weather fruit detection model. Constructing and training a first-stage severe weather fruit detection model based on dynamic coding; detecting fruits in the test set image, outputting a detection result mask, and comprehensively evaluating the model; the method solves the problems of poor generalization and applicability, tedious steps of a monitoring method and low real-time performance in the prior art, and has the characteristics that accurate detection can be carried out without pre-processing the image, and the training time and tedious steps of image pre-processing are reduced.

The invention discloses a wind power generation device with a heat dissipation mechanism, and relates to the technical field of renewable energy sources, the wind power generation device comprises a box body, a power generator is arranged in the box body, a gear box is arranged on the inner wall of the box body, after fan blades are driven by wind power, the power generator converts high-speed rotating mechanical energy transmitted by the gear box into electric energy, and the electric energy is transmitted to the heat dissipation mechanism. The heat dissipation nets need to be cleaned after being used for a long time, manual cleaning work cannot be carried out under the severe weather condition, the heat dissipation nets are possibly not cleaned in time, normal operation of the wind power generation device is affected, the heat dissipation nets are cleaned through the scraper blades through wind power, and the heat dissipation efficiency of the three heat dissipation nets is further improved. After the scraping plate is used for a long time, a large number of impurities can be attached to the surface of the brush, the brush can vibrate through striking of the striking rod, and therefore dust and the impurities on the brush are shaken off and prevented from polluting the heat dissipation net again.

The invention discloses a low-speed unmanned vehicle artificial intelligence decision and performance evaluation system, and belongs to the technical field of low-speed unmanned vehicle scheduling, and the system comprises a generation module which is used for generating a scene novelty index through monitoring the instantaneous offset of an environment parameter; the topology module is used for constructing a dynamic scene topology according to the scene novelty index, and the dynamic scene topology comprises nodes and edge weights generated based on the scene novelty index; the decision-making module is used for converting the edge weight into a decision-making rule according to the dynamic scene topology and generating a decision-making strategy; the performance calculation module is used for tracking the deviation between the vehicle motion parameter and the control instruction during the execution of the decision strategy to calculate a performance disturbance coefficient; and a topology calibration module. The method can effectively adapt to unrecorded edge scenes such as sudden congestion and severe weather superposition, improves the generalization ability of a system to complex scenes exceeding a pre-training range, and reduces decision errors caused by insufficient scene adaptation.

The utility model relates to a submarine cable state on-line monitoring system, which belongs to the technical field of cable protection equipment and comprises a submarine cable temperature monitoring module, a submarine cable breakdown fault response module, a submarine cable surrounding environment monitoring module, a marine monitoring ship body, a submarine cable environment display module and a submarine cable GIS module. Two supports are fixedly installed at the top end of the marine monitoring ship body, and a wireless signal transceiver is fixedly installed at the top of the marine monitoring ship body. The device has the beneficial effects that the two U-shaped frames can be driven to move in the same direction or opposite directions through the rotation of the two-way screw rod, and then the canopy outside the U-shaped frames can be driven to unfold, so that each part on the marine monitoring ship body is prevented from being eroded by rainwater or severe weather, and the service life of the marine monitoring ship body is prolonged. And therefore, protection can be provided for components on the marine monitoring ship body, and the service life of the components on the marine monitoring ship body can be prolonged.

The invention discloses an automobile laser radar point cloud semantic intelligent completion method in rainy and foggy weather, and particularly relates to the technical field of automatic driving perception. The method comprises the following steps: firstly, collecting time sequence point cloud data and inertial navigation information of a vehicle under rain and fog conditions, and constructing a sparse point cloud sequence; then constructing a sparse-semantic tensor graph based on point cloud density drift, echo energy anomaly and a semantic graph, extracting context structure features through a time sequence graph neural network, and generating an affine complement containing affine transformation parameters; further realizing consistent alignment of boundaries by using a semantic drift compensation mechanism, reconstructing a false point cloud complementation frame and fusing the false point cloud complementation frame with the original point cloud, and outputting a semantic complementation enhancement frame; according to the method, the point cloud integrity and semantic precision in severe weather can be improved, the stability of obstacle detection and path planning is enhanced, and the method is suitable for a complex environment sensing scene in an intelligent driving system.

The invention relates to the technical field of pipeline supports, and discloses a pressure vessel pipeline supporting device. During working, firstly, one end, deviating from a guide piece, of a guide rod penetrates through a supporting plate and then is fixed through a locking piece, the fixing position of the locking piece is adjusted, and then an adjusting elastic piece is adjusted; the adjusting elastic piece applies pre-tightening force between the guiding piece and the supporting plate, and then the adjusting sleeve is installed on the adjusting rod in a matched mode. The guiding piece is installed on the outer wall of the pressure container in an abutting mode, so that a pipeline on the pressure container is arranged in the inner ring buckle, then the outer ring buckle is installed on the inner ring buckle in a buckled mode and fixed, and auxiliary supporting and stabilizing of the pipeline are completed. By adjusting the position of the locking piece, the compression degree of the adjusting elastic piece can be changed, and therefore the supporting force of the supporting and guiding assembly on the pressure container is adjusted. The supporting device can be dynamically adjusted in severe weather, supporting looseness is prevented, and the stability of pipelines of a top-heavy structure such as a pressure guiding pipe fitting on the pressure container is improved.

The invention discloses a pipeline for a thermal power plant, and relates to the field of pipelines, the pipeline comprises a first pipeline, a second pipeline and a plurality of support bases, the first pipeline and the second pipeline are welded with each other, and the joint of the first pipeline and the second pipeline is sleeved with a joint shield. It needs to be explained that in the embodiment of the invention, when collapse occurs, the extension support moves on the first pipeline or the second pipeline through the supporting frame, the fulcrum of the first pipeline or the second pipeline is extended, and then effective supporting of the first pipeline or the second pipeline is guaranteed; in severe weather, the rotating sleeve drives the rotating scraping strip to scrape the first pipeline or the second pipeline, so that the first pipeline or the second pipeline is prevented from bearing too large; besides, when leakage occurs at the joint of the pipelines, the plugging frame drives the sealing ring to seal the joint of the pipelines, the purpose of active sealing is achieved, further expansion of the notch can be effectively avoided, and continuous operation of the thermal power plant is guaranteed.

A flying vehicle with folding wings that drives well on the ground and flies well in the air; controlled from inside, it changes from automotive to aircraft configuration without the operator needing to get out of the vehicle. The balance point of the vehicle is located midway between the front and back wheels, providing good handling on the road. In the aircraft configuration with wings unfolded, there is a front wing and a back wing. The incidence of the front wing is controllable, enabling the craft to rotate and take off with a center of gravity located well ahead of the rear wheels. The back wing is fitted with foldable vertical stabilizers near its wing tips. In automobile configuration the wings are folded on top of the body; the wings resemble a roof rack with large surfboards on it. Driven wheels provide motive power on the ground; ducted fans provide thrust for air travel. An autopilot system provides stability and navigation aid, particularly in bad weather or poor visibility. In the roadable configuration, filling water ballast tanks provides additional crosswind stability and crash protection. Also in a roadable configuration, the present invention may be licensed as a three-wheeled motorcycle towing a two-wheeled trailer. In its flying configuration, the invention can be licensed as a Light Sport Aircraft.

The invention belongs to the technical field of photovoltaic equipment, and provides a roof adjustable photovoltaic module for an energy-saving building, which comprises an outer shell, the top of the outer shell is open, a lifting platform is arranged in the outer shell through a lifting assembly, an inclined frame is arranged at the top of the lifting platform through a rotary table, and a plurality of photovoltaic panels are rotatably connected in the inclined frame. A horizontal sliding assembly is arranged at the top of the rotary table and hinged to one edge of the inclined frame, and a pitching adjusting assembly is further arranged between the rotary table and the side wall of the inclined frame. And the control assembly comprises a control unit arranged in the outer shell and a sunlight tracking sensing device arranged on the inclined frame. The problem of projection shielding between the photovoltaic modules can be reduced, and meanwhile the capability of resisting severe weather such as strong wind can be improved.

The invention relates to the technical field of unmanned aerial vehicle control, in particular to an unmanned aerial vehicle adaptive shooting method and system based on multiple sensors and AI, and the method comprises the steps: multi-sensor data collection, deep learning fusion processing, multi-modal exception processing, decision-making layer path planning reinforcement, adaptive shooting precision improvement, and a re-planning mechanism. Compared with the defects that environmental perception is incomplete and the shooting quality is suddenly reduced under complex illumination or severe weather due to dependence on a single sensor in the prior art, according to the scheme of the invention, a multi-mode sensor array (laser radar / millimeter wave radar / illumination sensor and the like) and Transform-GNN deep learning fusion architecture is adopted; joint modeling of obstacle positions, dynamic tracks and illumination distribution is realized; therefore, the dimensionality and precision of environmental perception are remarkably improved, and the unmanned aerial vehicle can still output clear and stable high-quality pictures under extreme conditions of strong light, rain and fog and the like.

The invention discloses a barrel type unmanned aerial vehicle recycling device and a recycling method thereof. The barrel type unmanned aerial vehicle recycling device comprises a main body frame and a barrel. The top of the barrel is wider than the bottom of the barrel, the bottom wall of the top of the barrel is connected with the main frame, and the bottom of the barrel extends into the main frame; a buffer net is arranged at the bottom of the barrel; and a positioning module is arranged at the bottom of the main body frame and is in communication connection with the cylindrical unmanned aerial vehicle. Landing recovery is effectively performed on the barrel type unmanned aerial vehicle, it is guaranteed that a long and thin vehicle body at the bottom of the barrel type unmanned aerial vehicle penetrates through the barrel, it can also be guaranteed that the bottoms of rotor wings of the barrel type unmanned aerial vehicle can stably fall on the upper portion of the barrel, recovery accuracy and success rate are improved, and the landing recovery problem of the barrel type unmanned aerial vehicle without the undercarriage is solved; the repeated utilization rate of the barrel type unmanned aerial vehicle is increased, the service life of the barrel type unmanned aerial vehicle is prolonged, the maintenance frequency and the part replacement cost are reduced, and safe recycling of the barrel type unmanned aerial vehicle in various environments or severe weather is met.

To solve the problem that the stability is insufficient when used under bad weather or unstable ground conditions, and the operability and accuracy are reduced especially in the measurement work involving frequent movement, and to provide a holder for a portable hand-held laser distance meter that is easy to operate and reduces the work intensity. 【Solution means】The holder for a portable hand-held laser distance meter of the present invention includes a support mechanism 100 and a fixing mechanism 200. The support mechanism includes a support plate 110, a distance meter 120 provided at the top of the support plate, a plurality of support legs 130 hinge-connected to the bottom of the support plate, a support box 140 fixedly attached to the end of the support legs, an adjustment rod 150 hinge-connected to the surface of the support legs, and a screw sleeve 160 fixedly attached between the plurality of adjustment rods. The fixing mechanism includes an insertion fixing member 210 inserted and fixed into the support box to improve the stability of the support plate, and a moving member 220 for facilitating the movement of the support box.

The invention discloses integrated photovoltaic energy storage equipment, and relates to the technical field of photovoltaic energy storage equipment, the integrated photovoltaic energy storage equipment comprises two angle-adjustable photovoltaic panels, a positioning support is arranged below the two photovoltaic panels, and the positioning support can move synchronously along with the change of the angles of the photovoltaic panels. When the photovoltaic panel is perpendicular to the horizontal plane, the positioning support moves to the position under the photovoltaic panel. Two guide frames capable of moving up and down are arranged on the positioning support, and cleaning soft cushion layers are arranged on the sides, right opposite to the photovoltaic panel, of the guide frames. In the ascending process of the guide frame, the cleaning soft cushion layer can be moved out to the position above the positioning support, and the surface of the photovoltaic panel is cleaned in the vertical direction. According to the invention, the distribution angle of the photovoltaic panel can be adjusted according to the working ring, and the photovoltaic panel can be changed from an inclined state to a vertical state in severe weather. And the exposed area and the wind area of the photovoltaic panel are reduced, so that the damage risk of the photovoltaic panel is reduced. And the photovoltaic panel can be protected.

The invention provides an outdoor cross-modal robust positioning and navigation method for extreme severe weather, and relates to the field of online positioning and navigation of mobile robots. The method comprises the following steps: acquiring and preprocessing data; generating a path point set based on a CMR network, perfecting the path point set through local trajectory fitting and error optimization, and constructing a path point relative pose measurement-topology hybrid map; motion prior estimation is carried out based on Doppler velocity, effective matching prior estimation is generated in combination with LiDAR odometer information, cross-modal pose estimation is carried out through a CMR network, and a pure tracking strategy and PD controller path point tracking are adopted; and geometric and intensity alignment is carried out on the forward 4D millimeter wave radar point cloud and the omnidirectional 3D laser radar point cloud through a CMR network, a rotation matrix and a translation vector are output, and accurate positioning is completed. According to the invention, the sensing and positioning defects in extreme weather in the prior art are overcome, and the positioning precision and robustness are improved.

The invention belongs to the technical field of air conditioners, and relates to a defrosting control method and device, a medium and electronic equipment. The method comprises the steps that environment parameters of air conditioner operation are obtained, and the environment parameters reflect the environment load of the air conditioner; and according to the environment parameters, target defrosting modes of the air conditioner are determined for defrosting, wherein the target defrosting modes comprise the reverse circulation defrosting mode and the shock cooling prevention defrosting mode. The corresponding target defrosting mode is selected for defrosting on the basis of the environment parameters reflecting the environment load. The reverse circulation defrosting mode can be selected under the condition that the requirement for defrosting is high, the reliability of the defrosting effect is improved so that the reverse circulation defrosting mode can be suitable for application scenes with severe weather or serious heat leakage conditions, the shock cooling prevention defrosting mode can be selected under the condition that the requirement for indoor comfort is high, the influence of slow temperature rising caused by defrosting is reduced, and the defrosting effect is improved. And the indoor temperature rising efficiency and the user experience in the defrosting period are improved.

The invention discloses a power transmission line insulator severe weather defect detection method based on a YOLOv10-MPM algorithm, and the method comprises the steps: designing different image enhancement strategies to simulate a natural scene based on an original visible light image, and constructing a synthetic data set containing three typical complex weather scenes, namely fog, rain and snow; sequentially dividing the synthetic data set into a training set, a verification set and a test set according to a proportion, and dividing data set labels into flashover, defect and insulator according to defect types; a designed multi-shape coordination attention mechanism MSSA is used for replacing an original point mode space attention module PSA in the YOLOv10n model; a C2f module is improved by using an MOCAA module; pIOU2 is adopted to replace a traditional loss function; carrying out lightweight design on the model by using LAMP pruning; therefore, a YOLOv10-MPM model is constructed; and training the YOLOv10-MPM model based on the training set, and detecting the model by the verification set. According to the method, the detection precision is improved, and the size of the algorithm model is greatly compressed, so that the algorithm model can be conveniently deployed on edge equipment such as an unmanned aerial vehicle.

The invention provides a satellite communication receiving device. The satellite communication receiving device comprises a pot body, a signal receiver, a protective cover structure, a steering mechanism and a base structure. The device has the advantages that hard protection of the pot piece in rainy days, snowy days and the like is achieved through the protective cover structure, angle adjustment and swinging of the satellite pot piece are achieved through the steering mechanism, the problem that the signal processing mode is single can be solved through the multi-mode radio frequency channel module of the device, multi-band self-adaptive switching can be achieved, and the device is simple in structure and convenient to use. Receiving parameters are dynamically adjusted by analyzing the signal intensity, the signal-to-noise ratio and the bit error rate in real time. The meteorological data processing module of the device can solve the problem of meteorological response lag, has meteorological data localization processing capability, adjusts receiving parameters without depending on external meteorological service, can protect the radio frequency device in severe weather, and avoids physical damage to the radio frequency device.

The invention proposes a BiSight-Net-based severe weather bifocus vehicle detection method, and the method comprises the steps: constructing a BiSight-Net vehicle detection model, introducing a PRFM module in a semantic branch to achieve the dynamic noise suppression, and introducing a VBEM module in a texture branch to achieve the dynamic correlation of multi-scale features; the dual-path detection head comprises a semantic branch detection head and a texture branch detection head, semantic branch feature decoupling is realized through the semantic branch detection head, and texture branch feature decoupling is realized through the texture branch detection head. According to the method, the suppression efficiency of feature coupling interference and the robust modeling capability of dynamic noise are improved, meanwhile, the effective integration capability of cross-frequency domain information is improved, a dual-path detection head is reconstructed to realize accurate decoupling of feature expression, finally, joint optimization of noise suppression and feature enhancement is realized, and the feature discrimination capability in a severe scene is remarkably improved.

The present invention discloses a multi-weather data augmentation method for airport surface target detection based on an improved CycleGAN. On the basis of the original CycleGAN network, the generator network is improved by expanding the residual network blocks, cross-layer connection of the encoder-decoder, and introducing an attention mechanism. At the same time, a dynamic weighted multi-scale discriminator network is designed, and it is trained using a small sample target detection dataset of the airport surface under normal weather and an auxiliary dataset under typical bad weather to obtain a multi-weather image generation network, thereby effectively generating high-quality target detection images under various weather conditions such as rainy days, foggy days, and nights, and increasing the diversity of data samples. As an effective data augmentation method for saving annotation costs, the present invention improves the performance of the airport surface target detection network under small sample conditions.

The present disclosure provides a GNSS signal enhancement method and device based on unmanned aerial vehicle signal relay, relating to the technical field of dam slope monitoring. The method comprises: determining a signal to be enhanced area in the dam slope area; scheduling a first unmanned aerial vehicle cluster to hover and stay in each signal to be enhanced area to form a signal enhancement network; screening a signal blind area based on the signal-to-noise ratio monitored by each network node; scheduling a second unmanned aerial vehicle cluster to the dynamic blind-filling position corresponding to the signal blind area to form a signal blind-filling network; based on the signal enhancement network and the signal blind-filling network, the received GNSS satellite signal is signal enhanced and directionally emitted to the GNSS signal receiver to realize dam slope deformation monitoring. The technical solution can effectively enhance the GNSS satellite signal, improve the stability and accuracy of the GNSS signal receiver in monitoring the deformation of the dam slope area in bad weather.

The utility model discloses a waterproof eave lamp convenient to install, which relates to the technical field of eave lamps and comprises a lamp shell, a lamp body is installed on the inner wall of the lamp shell, an installation plate is fixedly connected below the lamp shell, two fixing holes are arranged above the installation plate, and the lamp body is fixedly connected with the installation plate. And anti-skid blocks are arranged on the outer side walls of the two fixing holes and located on the mounting plate, protective sleeves are fixedly connected to the two sides of the lamp shell, connecting belts are arranged on the inner walls of the two protective sleeves, and a lampshade is mounted above the lamp shell. By means of the structure, the eave lamp can effectively resist weather changes such as rainstorm, lightning and the like and is free of severe weather, efficient illumination and installation are achieved, and the wiring difficulty and the construction cost are reduced.

The pine wood nematode disease unmanned aerial vehicle monitoring and positioning device comprises an unmanned aerial vehicle body, a mounting block is mounted at the bottom of the unmanned aerial vehicle body, and an auxiliary flight stabilizing structure for improving flight stability by means of airflow is arranged in the mounting block; the bottom of the mounting block is provided with a plugging structure for cooperating with the auxiliary flight stabilization structure, and the bottom of the mounting block is connected with a box body in the middle of the plugging structure. According to the pine wood nematode disease unmanned aerial vehicle monitoring and positioning device and method, cooperative work of the flight stabilizing structure and the blocking and triggering structure is assisted, an airflow channel is optimized, the flight stability of the unmanned aerial vehicle under the conditions of complex terrains and severe weather is enhanced, energy consumption is reduced, and the endurance time is prolonged. In addition, the device is provided with a wireless communication module and a network adapter, and collected and processed data can be transmitted to a ground control station or a cloud server in real time.

The utility model belongs to the field of meteorological environment monitoring, particularly relates to a movable meteorological environment monitoring device, and aims to solve the problems that a conventional monitoring device is inconvenient to reinforce and support a supporting rod during monitoring and is easy to shake and unstable when encountering a larger wind direction from the outside, so that the monitoring device is inconvenient to use. In order to solve the problems of influence on accurate monitoring of a monitoring device and collapse and damage of the monitoring device in severe cases, the utility model provides the following scheme that the device comprises a bottom plate, a supporting column is fixedly arranged on the top side of the bottom plate, an open groove is formed in the supporting column, and a lifting column is slidably connected in the open groove. When the device is used, extra supporting force can be provided for the lifting column and the supporting column, it is ensured that under the condition of strong wind or severe weather, the whole device can still be kept stable, the phenomenon that the monitoring device is prone to shaking and instability is avoided, accurate monitoring of the monitoring device is prevented from being affected, and the monitoring device is prevented from collapsing and being damaged in severe weather; and the applicability is improved.

The utility model relates to the technical field of LED display screens, and discloses a waterproof LED display device which comprises a waterproof LED display screen and an assembly base. A cavity is formed in the assembling base, a limiting base is installed on the side face of the assembling base, a sliding groove communicated with the cavity is formed in the limiting base, a partition plate is installed in the limiting base, and a rod type elastic piece stretching into the cavity is transversely connected to the partition plate in a sliding and penetrating mode. An assembly column located above the cavity is installed at the end of the rod type elastic piece, the waterproof LED display screen is installed on the assembly column, a pressure early warning piece is installed on the inner wall of the end, away from the assembly base, of the limiting base, and the rod type elastic piece is arranged towards the pressure early warning piece. The utility model provides a waterproof LED display device, and solves the problems that a display screen is easy to shake and cannot give an early warning in time when being subjected to strong wind and severe weather.

Disclosed is a ground-based radar system (1) for observing space objects (A) in orbit, the radar system (1) comprising at least one transmit antenna (2) for transmitting incident electromagnetic waves (S) and at least one cylindrical parabolic reflector (6), the cylindrical parabolic reflector (6) being fixedly mounted and comprising a reflective outer surface (7) suitable for concentrating the incident electromagnetic waves (S) into a beam of determined pointing direction (D), the reflective outer surface (7) being exposed to bad weather, the radar system (1) comprising at least one de-icing fluidic network (10) extending under the reflective outer surface (7) of the cylindrical parabolic reflector (6), the de-icing fluidic network (10) being controllable between an inactive mode (OFF), and an active mode (ON) in which a de-icing fluid (F10) flows through the de-icing fluidic network (10) in order to de-ice the reflective outer surface (7) so as to preserve the determined pointing direction (D).

The road construction protection device penetrating through the existing subway station comprises a protection vertical plate and a rectangular plate, ventilation holes are formed in the protection vertical plate, an air guide groove is formed in the bottom of the protection vertical plate, an arc-shaped plate is fixedly installed on one side of the bottom of the protection vertical plate, and the rectangular plate is fixedly installed on the arc-shaped plate. Two supporting plates are fixedly mounted on the side, away from the arc-shaped plate, of the protective vertical plate, and a rectangular groove is formed in one side of the protective vertical plate; stone and other heavy objects are placed in the placing groove, the placing stability of the protective vertical plate is guaranteed, in addition, wind can be conveniently guided and ventilated through the arranged vent holes, arc-shaped plates and wind guide grooves, strong wind can be ingeniously prevented from directly and violently impacting the protective vertical plate, the potential threat of wind pressure to the protective structure is greatly relieved, and the protective structure is safe and reliable. And the overall protection effect is further consolidated, the comfort level of the construction environment can be improved, construction obstacles caused by bad weather conditions are reduced, and the project progress and quality are guaranteed.