53results about How to "Strong practical value" patented technology

The invention provides a pedestrian image enhancement method and device based on a multi-kernel feature fusion convolutional neural network, and a medium, and belongs to the technical field of computer vision. The method comprises the steps that pedestrian images shot under the severe weather condition and the shielding condition are collected to serve as an original image data set, and the original image data set is marked to serve as a training data set; establishing a pedestrian image enhancement model based on a multi-kernel feature fusion convolutional neural network; training a pedestrian image enhancement model through a training set, inputting the training data set into the neural network model, and training the network by adopting a supervised learning mode until a training termination condition is met; and deploying the trained pedestrian image enhancement model to the front end of the target detection network, and enhancing the input image of the target detection network. According to the invention, the definition and recognition accuracy of pedestrian imaging are improved, and the generalization ability and robustness of the model are improved.

The invention relates to the technical field of information, and discloses a conduction loss analysis method and system for a flexible equipment module, the screening range of a flexible substrate material is determined through the performance parameters of a target flexible equipment module, and according to the stress and resistance change of the undetermined flexible equipment material under various loads in the range, the conduction loss of the target flexible equipment module is determined. Establishing the incidence relation between the deformation evolution curve and the mechanical and electrical characteristics, and combining the deformation evolution curve and the mechanical and electrical characteristics to form a performance index matrix for preliminary screening for screening; constructing a characteristic matrix reflecting the change of material performance along with time by utilizing the aging experiment data of the primarily screened material, and further obtaining a time-domain curve of conduction loss; performing quantitative scoring on the performance of the primary material through a multi-target genetic optimization function to select an optimal target material; based on the conduction loss data of the target material, the mechanical and electrical characteristics of the flexible substrate material and the performance change in the aging process are integrated, and accurate analysis of the conduction loss of the flexible device module is realized.

The utility model relates to a lining steel pipe diversion tunnel curve section installation system which comprises a lining steel pipe, a horizontal assembling jig frame used for turning over a lining steel pipe welding stiffening ring and a moving trolley used for climbing pipes in a tunnel and assisting in butt joint of the lining steel pipe. The horizontal assembling jig frame has the advantages that the driving machine is arranged in the horizontal assembling jig frame to achieve synchronous rotation of the lining steel pipes, the limiting arms capable of being elastically opened and closed are arranged, the assembling and disassembling efficiency of the lining steel pipes is improved, the horizontal assembling jig frame can flexibly control the distance based on the rails, the overall installation effect is higher, consumed time is shorter, and the assembling and disassembling efficiency is improved. The traditional vertical assembling mode that the steel pipes are externally provided with stiffening rings is changed, and the practical value is high; a structural system of assembling type inner support section steel combined adjustable support rods is adopted to replace a traditional fixed welding umbrella-shaped inner support, and the field construction efficiency is improved.

The invention belongs to the technical field of photoelectric measurement, and particularly relates to a shooting moment calibration system and method of a photoelectric theodolite. The system comprises a control panel, a servo control unit, a timing system control unit and a light source. A user operates the control panel to set control parameters of the shooting moment calibration system. The timing system control unit sends trigger signals to the servo control unit and an encoder of the photoelectric theodolite according to control parameters of the shooting moment calibration system; the motor drives the separation blade to rotate according to the control parameters, the photoelectric theodolite is controlled to be aligned with the collimator, a bright spot is arranged at the central position of the field of view of the photoelectric theodolite, and a calibration value output by the encoder is recorded; and calibration instrument detection software realizes calibration of the shooting time of the photoelectric theodolite according to the calibration value, the point target image sequence and the control parameters. The method can calibrate the shooting time of the photoelectric theodolite.

The invention discloses a joint rotation angle measuring system of an excavator in any posture, which comprises a first tilt angle sensor, a second tilt angle sensor, a third tilt angle sensor, a fourth tilt angle sensor, a fifth tilt angle sensor, a vehicle-mounted controller and a display. The measuring devices are used for measuring the included angles between the measuring devices and the horizontal plane, are arranged on the balance weight side portion, the rear portion, the movable arm side, the bucket rod side and the bucket connecting rod of the excavator respectively, receive included angle information through a vehicle-mounted controller and calculate the included angles between all the parts of the excavator in different working states and the horizontal plane. Therefore, an overall posture model of the excavator can be constructed, so that a subsequent automatic excavation function can be conveniently realized. The system is simple in structure and simple in arrangement process, is not influenced by environmental pollution, is not easy to damage in a severe environment due to the fact that each tilt angle sensor is not provided with a relative moving part, can be used for a long time after being installed once, and has higher stability and reliability.

The invention discloses a lane line extraction and parking space detection method based on a laser radar intensity value. The method comprises the steps of 1, preprocessing radar data; 2, identifying and removing a target of a dynamic object in the point cloud with the intensity value information obtained in the step 1 by using a dynamic detection algorithm, and retaining data of a static object for subsequent processing; 3, identifying the boundary and characteristics of the lane line of the static object, determining a lane line candidate region, accurately extracting the lane line through geometric constraint, obtaining a linear equation of the lane line, and obtaining a parking space region; and 4, detecting and numbering the parking spaces according to the extracted lane lines and parking space areas, and judging the occupation state of each parking space by analyzing the point cloud density and intensity value distribution in the parking space areas. According to the invention, the radar data can stably and accurately identify the lane line boundary and the parking space state under different environmental conditions, so that the environmental perception capability in automatic driving is improved.

The invention relates to the field of computer vision, deep learning and multi-modal behavior analysis, in particular to a multi-modal action recognition method and system based on fine-grained analysis and knowledge distillation, and the method comprises the steps: carrying out the frame extraction of an input video, and obtaining an image sequence; carrying out body part segmentation on the image and inputting the image into a CLIP model in combination with text description to obtain multi-modal features of each part; integrating the feature information through a part level fusion network; a student model is constructed in combination with learnable prompts, and knowledge distillation is carried out; and carrying out optimization training on the model and outputting an action recognition result. According to the method, fine-grained visual features and semantic information are well fused, and key modes in actions are effectively mined, so that the accuracy of action recognition is improved.

The invention discloses anti-crack mortar for an assembly type light partition wall board. The anti-crack mortar is prepared from the following raw materials: Portland cement, redispersible latex powder, hydroxypropyl methyl cellulose ether, gypsum powder, fly ash, anti-crack fibers, water, polyphenyl granules, light mineral waste residues, a foaming agent, an early strength agent, a foam stabilizer, a waterproof agent, a water reducing agent, an accelerator and a reinforcing agent. The mortar can be used for manufacturing light partition boards or connecting two light wall materials, the manufacturing process of the wall materials produced by the mortar is simple, the wall materials are easy for later decoration, the problems of surface cracking, water seepage and easy moisture of a traditional wall board are solved, compared with the traditional wall board, the mortar has the advantages of light weight, combustion resistance, strong permeability release property and the like, the production process is pollution-free, and the mortar is suitable for large-scale popularization and application. The finished wall material is convenient to use in the building process and has high practical value.

The invention relates to a colorectal cancer risk prediction method based on multiple dimensions, and the method employs an LSTM network model to predict the living state change of a user in a future period of time according to the current actual life information of the user, and employs a DBN probability algorithm model to fuse the colorectal disease information of a user family, thereby achieving the risk prediction of the colorectal cancer. According to the method, prediction features of probability distribution of colorectal diseases of a user are generated, dynamic prediction of the future colorectal cancer risk of the user is realized by combining actual life information and family disease information of the user based on a multi-dimensional colorectal cancer risk prediction method, and the dynamic and multi-dimensional risk prediction result can be used for predicting the colorectal cancer risk of the user. Compared with an existing method, the method is more accurate and comprehensive, dynamic and accurate prediction of the colorectal cancer risk is achieved, more targeted health management suggestions are provided for users, and the practical value is high.

The invention discloses a creep load characteristic modeling method in an aero-engine load spectrum, and relates to the technical field of aero-engine load spectrum modeling, and the method comprises the steps: extracting steady-state points of rotating speed and temperature in an actual measurement load spectrum of an aero-engine, and forming a rotating speed-temperature two-dimensional time distribution matrix; least square nonlinear regression is carried out on the steady state points of the rotating speed and the temperature, and a rotating speed-temperature regression relation is established; selecting logarithmic normal distribution as a basic function, selecting mixed distribution as a distribution type, adopting an EM algorithm to estimate parameters of creep load characteristics, determining the number of optimal basic functions through an AIC method, and establishing a rotating speed one-dimensional mixed distribution model; and combining the rotating speed-temperature regression relationship with the rotating speed one-dimensional mixed distribution model to construct a creep load characteristic model. According to the method, a high-precision mathematical model of creep load characteristics is finally obtained, and a load basis is provided for predicting the service life of a high-precision aero-engine.

The invention discloses a communication configuration evaluation method for an aviation airborne DIMA architecture, and the method comprises the steps: building a system single model database according to the DIMA architecture, and defining the maximum delay requirement of the end-to-end transmission of a message; a behavior simulation model is established, the actual communication process of the message in the platform is simulated, and end-to-end communication simulation delay is formed; comparing the communication simulation delay with the maximum message delay defined in the system single model database to form simulation alarm information; aiming at the strong real-time message, establishing a deterministic calculation and analysis model, performing deterministic calculation and analysis on communication configuration, and forming worst delay of end-to-end communication; comparing the worst communication delay with the maximum message delay defined in the system single model database to form computational analysis alarm information; and the communication configuration model is optimized by simulating the alarm information and calculating and analyzing the alarm information. According to the method, communication configuration evaluation of the DIMA architecture can be realized, and the requirement that the application range of a DIMA system is continuously increased is met.

The utility model relates to the technical field of steel plate machining, in particular to a correcting device for steel plate machining, which comprises two press roll components and is characterized in that the two press roll components are fixedly connected through a stand column, a power part is mounted on one side of one press roll component, a straightening component is arranged below the press roll components, and a straightening roller is arranged below the straightening component. The straightening assembly comprises a vertical plate, two straightening plates are arranged on the vertical plate, the two straightening plates are fixedly connected to a straightening power piece, and the straightening power piece is connected into a sliding groove formed in the vertical plate in a sliding mode. By arranging the straightening assembly, when a steel plate moves to the vertical plate, the second motor drives the two-way lead screw to rotate, the two-way lead screw drives the movable plates to get close to each other, and therefore the straightening plates get close to each other through the sliding columns to extrude the steel plate, and the steel plate is straightened; three groups of power pieces are arranged, so that the pressure of each part of the straightening plate on the steel plate can be kept consistent, and equipment damage caused by over-high hardness of the steel plate is avoided.

This invention discloses a transformer partial discharge separation algorithm based on a self-supervised network, comprising the following steps: acquiring and storing partial discharge signals of the transformer; extracting discharge waveforms using an outlier detection method; constructing a self-contrast dataset and a negative example dataset for pulse data; extracting signal spectral features using a supervised contrastive network and training the network's spectral feature extraction capability; finally, classifying the features using an iterative self-organizing clustering algorithm; setting initialization information in the iterative self-organizing clustering algorithm, clustering the feature data obtained in step five, and after classification, determining the discharge type of data in each category using expert knowledge to obtain the discharge type result; this invention, by classifying and calculating discharge signals, can effectively calculate the discharge quantity and total discharge of different discharge faults, realizing the functions of transformer operating condition monitoring and fault early warning, and effectively protecting the safety of the transformer.

The invention discloses an emergency logistics two-stage path optimization method based on truck-unmanned aerial vehicle cooperation, and relates to the technical field of emergency logistics path optimization, the method is based on a truck-unmanned aerial vehicle cooperation two-stage path optimization algorithm, the method is composed of a self-adaptive K-means clustering algorithm and a variable neighborhood simulated annealing algorithm, the calculation efficiency is high, the solving quality is high, and the method is suitable for large-scale popularization and application. And the method has a relatively high practical value for the emergency logistics transportation optimization problem with relatively strict timeliness requirements. The method has high universality and transportability, can better deal with the scene that the road is interrupted and emergency materials are affected to arrive in time under the emergency situation, can provide reference for the government and decision consultation department to formulate an emergency logistics transportation mode, improves the emergency rescue efficiency, and ensures the credibility of decision.

The invention belongs to the field of high-burial-depth underground space safety early warning and protection, and discloses a construction method and system for judging and distinguishing double-track tunnel micro-seismic parameter quantitative early warning rockburst grades, and the method comprises the steps: designing a micro-seismic monitoring system sensor arrangement method; wave velocity setting; judging the reliability of the monitoring effect of the same monitoring system on the double-track tunnel; comparing geological revelation conditions of the tunnel faces in the similar mileage sections of the double-track tunnel; determining rockburst grade classification and quantitative judgment criteria; distinguishing and establishing quantitative criteria of high-precision rockburst of each grade of the double-track tunnel; judging whether to distinguish and establish a rockburst early warning judgment standard; unifying tunnel early warning discrimination standard establishment methods; the reliability of the method is judged according to the occurrence condition of subsequent rockburst, and meanwhile the threshold value is perfected. According to the invention, two sections can be monitored at the same time through a set of microseismic monitoring system, so that half of manpower, material and financial investment is saved. The blank of establishing a quantitative criterion method for distinguishing micro-seismic monitoring and early-warning rockburst of the double-track tunnel under similar geological conditions in the same work area is filled, and the method has high practical value.

The load measuring device relates to the technical field of electric load measurement, and its structure is as follows: it is composed of a first-section gram stick, a second-section gram stick, a third-section gram stick, a meter connection line and a load measuring meter; a plug A is inserted into a socket A, and an external thread connector A is threadedly connected with an internal thread A in an internal thread connector A; a plug B is inserted into a socket B, and an external thread connector B is threadedly connected with an internal thread B in an internal thread connector B; one end of the double-head meter connection line is inserted into a socket C, and the other end is inserted into the load measuring meter. The beneficial effects of the present invention are: simple structure, quick installation, easy to carry, simple operation, safe and reliable, greatly improved work efficiency, only two people are needed to complete the work, saving manpower and material resources, ensuring personal safety, realizing ground operation of load measurement, having strong practical value, and can be promoted for use.

The utility model discloses a large-diameter nodular cast iron jacking pipe pushing ring, which belongs to the field of socket pipe jacking construction and comprises an annular body, a connecting plate and a fastener. The annular body is at least divided into three sections and is arranged between a pipe body vertical surface at the bottom of the ball pipe socket and the inner wall of the pipe body; the two ends of each connecting plate are attached to the ends of the two adjacent sections of annular bodies respectively, and the sectional type annular bodies are connected into a whole ring through fasteners. The large-diameter nodular cast iron socket pipe jacking device is applied to large-diameter nodular cast iron socket pipe jacking construction, the link of welding a pushing flange and a rib plate on a pipe body can be omitted, the influence of welding on the pipe is reduced, the production efficiency is improved, and the production cost is reduced; the pushing ring can be repeatedly used, saves energy, reduces consumption, is low-carbon and environment-friendly, and has very high practical value.

The invention belongs to the technical field of artificial intelligence and information, and particularly relates to a media data acquisition method and system for constructing a space-time knowledge tree based on prompt engineering. The system comprises a prompt engineering module, a common knowledge tree construction module, a space-time knowledge tree construction module and a media data acquisition module, wherein the prompt engineering module provides a prompt word template; the common knowledge tree construction module constructs a common knowledge tree through large language model reasoning; the space-time knowledge tree construction module is used for calling a place refining cue word template and a facility refining cue word template based on a common knowledge tree, and constructing a space-time knowledge tree through large language model reasoning and multivariate geographic information verification; and the media data acquisition module generates a multi-dimensional retrieval condition and drives a data acquisition engine to acquire data. According to the method, automatic construction and dynamic expansion of a knowledge tree are realized by utilizing large model reasoning and a controllable prompt strategy, and crawlers are driven to accurately retrieve in multiple dimensions, so that accurate capture of high-value data and reliable tracking of evolution clues are realized.

The present invention belongs to the field of photoelectric measurement technology, and in particular, relates to a system and method for calibrating the shooting time of a photoelectric theodolite. The system includes: a control panel, a servo control unit, a timing control unit and a light source. The user operates the control panel to set the control parameters of the shooting time calibration system; the timing control unit sends a trigger signal to the servo control unit and the encoder of the photoelectric theodolite according to the control parameters of the shooting time calibration system; the motor drives the baffle to rotate according to the control parameters, controls the photoelectric theodolite to align with the collimator, places the bright spot at the center of the field of view of the photoelectric theodolite, and records the calibration value output by the encoder; the calibration instrument detection software realizes the calibration of the shooting time of the photoelectric theodolite according to the calibration value, the point target image sequence and the control parameters. The present invention can calibrate the shooting time of the photoelectric theodolite.

The application discloses a magneto-electric dipole super-wideband antenna and relates to the technical field of communication antennas.The application comprises a connector and an antenna main body assembly, the antenna main body assembly comprises a first radiating sheet and a second radiating sheet, the first radiating sheet and the second radiating sheet are respectively composed of two sides A, B and C, D, and the two sides A, B and C, D are respectively combined into L shapes; the application comprises an antenna directing assembly, the antenna directing assembly comprises a ring sheet, a convex sheet and a circular sheet, a reflecting plate, and the reflecting plate is connected with an inner folded edge and a side folded edge on the side close to the antenna main body assembly. Through special design of the reflecting plate, the antenna main body assembly, the antenna directing assembly and the baffle structure, the application realizes a magneto-electric dipole antenna with a standing wave of less than 1.5 in a 737-976&1480-3840&4190-4920 MHz super-wideband range, and the magneto-electric dipole antenna has good and stable directional diagram radiation performance in the working frequency band, covers the frequency band requirements of operators such as China Mobile (880-960&1710-2675 MHz) and China Telecom (806-960&1710-2500&3300-3700), and has strong practical value.

The invention discloses an underwater time-delay plugging material and a preparation method and application thereof.The underwater time-delay plugging material is obtained by wet stirring and mixing, drying, crushing and screening 2% by mass of plant fiber, 30-36.5% by mass of expansible soil and 61.5-68% by mass of coal cinder, the maximum particle size of the coal cinder is 0.8-1.0 time of the pore diameter to be plugged, and the content of clay minerals in the expansible soil is larger than or equal to 67%. The underwater time-delay plugging material has a good skeleton structure, is expanded and sealed when encountering water, is entangled, resists shear and avoids erosion, the success rate and accuracy of underwater gate plugging are improved, and the gate plugging process is accelerated.

The invention discloses a research theme recommendation method and system based on a heterogeneous information network and a large language model. According to the method, complex association among scholar historical research, a cooperation network and a thesis theme can be deeply mined, and scholar and theme representation learning fusing semantic content and a network structure is realized, so that reasonable association of a recommended theme and a scholar research background in a structural level is ensured. A large language model is further introduced for semantic reasoning and refining, intelligent evaluation and sorting can be conducted on candidate topics from multiple dimensions such as correlation, novelty and feasibility, and individuation, interpretability and academic perspectiveness of recommendation results are remarkably enhanced. Finally, a refined theme list which is highly matched with the research venation and has innovation potential and feasibility is provided for scholars, and the scholars are powerfully assisted in mastering the research dynamic state and expanding the research direction.

The invention discloses a supercooled liquid nitrogen circulating cooling device and a using method. The device comprises a Dewar tank and a circulating pipeline assembly. Cold liquid nitrogen is stored in the Dewar tank, a part of the circulating pipeline assembly is located in the Dewar tank, a part of the circulating pipeline assembly protrudes out of the Dewar tank, and the cold liquid nitrogen circulates circularly for heat exchange; wherein a plurality of layers of radiation baffles are arranged in the Dewar tank and located between a cover plate of the Dewar tank and the liquid level of the cold liquid nitrogen; the circulating pipeline assembly comprises a heat exchanger, a liquid supply pipeline, a liquid return pipeline and a bypass pipeline; two ends of the heat exchanger are respectively communicated with the liquid supply pipeline and the liquid return pipeline, and the other ends of the liquid supply pipeline and the liquid return pipeline are communicated; and two ends of the bypass pipeline are respectively communicated with the liquid supply pipeline and the liquid return pipe. According to the supercooled liquid nitrogen circulating cooling device and the using method, the stability of pipeline pressure is improved.

The invention discloses a civil aircraft cockpit display system based on integrated display unit (IDU) mutual data transmission, which comprises an IDU, an external controller, an ARINC825 bus and an ARINC664 bus, and is characterized in that a display management DM application resides in each IDU; the DM application residing in each IDU periodically sends the current IDU health state, the display page format of each IDU, the window where a main / co-driver cursor is located, a press switching controller signal needing to be kept synchronous or data needing to be reconstructed and kept through ARINC664, and receives a page format switching signal and cursor control sent by the controller through ARINC825. The method is more suitable for the IDU integrating display and calculation functions, the dependence on an external additional processor of the IDU is reduced, the cost, the weight and the power consumption are reduced, and the method particularly has obvious competitive advantages in the future market of branch aircrafts.

The invention belongs to the technical field of coal seam gas pressure measurement, and relates to a drill hole effectiveness evaluation and correction method for coal seam gas pressure measurement under a water-containing condition, which comprises the following steps of: dismantling a pressure gauge after the gauge display pressure of the pressure gauge for measuring the coal seam gas pressure under the water-containing condition is stable; the water filling condition in the hole is checked after the pressure gauge is dismounted; judging whether a pressure measuring drill hole for measuring the gas pressure of the coal seam under the water-containing condition is communicated with a water-containing layer / karst cave or not according to the checking result, and if yes, judging that the pressure measuring drill hole is invalid; and if the gas pressure is not conducted and water is filled, the pressure displayed by the meter is corrected to obtain the real coal seam gas pressure. According to the method, the effectiveness evaluation system of the coal seam gas pressure measurement drill hole under the water-containing condition is established, typical conduction and atypical conduction judgment criteria are introduced, and scientific quantitative evaluation on whether the pressure measurement drill hole is communicated with the water-containing layer / karst cave or not is achieved.

This invention relates to the field of pathogen detection technology, specifically to a qRT-PCR kit for detecting fall armyworm rhabdovirus and its usage method. The kit includes qRT-PCR amplification buffer, which comprises a primer-probe set. The primer-probe set includes primer pairs and probes. The primer pairs include an upstream primer as shown in SEQ ID NO. 1 and a downstream primer as shown in SEQ ID NO. 2. The probes include probes as shown in SEQ ID NO. 3. This kit is sensitive, convenient, highly specific, and reliable. A single test is sufficient to determine whether a sample contains fall armyworm rhabdovirus and to detect the amount of fall armyworm rhabdovirus. It can also perform large-scale sample analysis simultaneously, providing strong technical support for the qualitative / quantitative detection of fall armyworm rhabdovirus. It has strong practical value and excellent application prospects.

The invention discloses a universal adjusting rotary large screen which comprises an electronic screen and a mounting shell, a telescopic assembly is mounted in the mounting shell, and the front end of the telescopic assembly extends out of the mounting shell and is connected with the electronic screen through a connecting assembly; the telescopic assembly comprises at least three power telescopic components, the power telescopic components are fixed into a whole through the fixing assembly, and each power telescopic component independently stretches out and draws back to adjust the electronic screen. A rotating assembly is installed on the telescopic assembly in a matched mode, and the rotating assembly drives the whole telescopic assembly to rotate to achieve rotation of the electronic screen. A braking assembly is further installed on the telescopic assembly in a matched mode, and after the telescopic assembly stretches out and draws back in place or the rotating assembly rotates in place, the braking assembly tightly holds the multiple power telescopic components. Through cooperative use of the telescopic assembly and the rotating assembly, the electronic screen can be adjusted in any direction such as up-down, left-right, oblique and the like, and switching between a vertical screen and a horizontal screen can be completed.

The application provides a kind of city granularity-based vehicle transfer path calculation method, system and terminal machine, belongs to the field of vehicle path planning, constructs adjacent city data network;Vehicle path data network is constructed;According to the input condition, the shortest path between nodes is calculated using Dijkstra algorithm, and the strategy of greedy algorithm is adopted, the adjacent nodes of the vertex closest to the starting point and not visited are traversed each time, until the end point is expanded, to obtain the hottest route between any two nodes or multiple nodes.The method is based on the actual vehicle operating conditions, from the perspective of city transfer, analyzes the transfer trend and heat between cities, and provides an effective method for finding popular routes, with strong practical value.

The invention discloses a trigger circuit of a plasma discharge switch, the trigger circuit is used for triggering a plasma switch, the trigger circuit further comprises a low-voltage input end, a trigger signal end, an electronic switch, a coupling inductor and a one-way switch, the low-voltage input end is used for providing input voltage; the trigger signal end is used for sending out one or more pulse signals, the output end of the trigger signal end is connected with a control electrode of the electronic switch, the coupling inductor is formed by coupling a primary inductor and a secondary inductor, the two ends of the primary inductor are connected with the low-voltage input end and one connecting end of the electronic switch respectively, and the other connecting end of the electronic switch is grounded. The cathode of the plasma switch is grounded, the anode of the plasma switch is connected with the high-voltage circuit at the rear end, and the trigger electrode of the plasma switch is connected with the cathode of the one-way switch. The manufacturing process is simple, and miniaturization integration is easy; the circuit is simple, and the system complexity is greatly reduced; the system is high in reliability and strong in false triggering prevention capability.

The invention relates to a glass fiber reinforced nylon composite material as well as a preparation method and application thereof. The glass fiber reinforced nylon composite material is prepared from the following raw materials in parts by weight: 50 to 80 parts of nylon, 10 to 40 parts of modified glass fiber, 0.1 to 0.5 part of glass fiber exposed absorbent, 0.2 to 0.8 part of dispersing agent, 2 to 5 parts of toughening agent, 0.4 to 2 parts of black color master batch and 0.3 to 1.8 parts of auxiliary agent. The glass fiber reinforced nylon composite material provided by the invention has excellent toughness, glass fiber reinforced rigidity and high fluidity, and is suitable for manufacturing structural parts with high requirements.