3315results about How to "Guaranteed reliability" patented technology

The invention provides a test method and device for a motor active short-circuit relay, and a storage medium. The method includes the steps: performing the zero speed detection of a motor after a motor controller completes a low-voltage power-on operation, wherein when the motor controller is powered down, a first relay and a second relay are both switched on; controlling the second relay to be turned on if the motor passes the zero speed detection, and injecting a first excitation signal at the control ends of a first phase winding and a third phase winding through the motor controller; performing injection detection of the first excitation signal to determine whether the first excitation signal is successfully injected or not; controlling the first relay to be turned on if the first excitation signal is successfully injected, and obtaining a voltage across two ends of the first relay; and judging whether the power-on test of the first relay is successful or not according to the voltage across two ends of the first relay. The method can realize the turn-on test of the short-circuit relay, and ensures the reliability of the active short-circuit function of the vehicle motor duringdriving.

The invention discloses an air conditioning system and a control method thereof. The air conditioning system comprises an air conditioning outdoor unit; the air conditioning outdoor unit comprises a compressor, an outdoor heat exchanger and an outdoor fan; the outdoor fan is at least provided with a first working mode and a second working mode; and when the outdoor fan runs in the first working mode, a wind gear is higher than that when the outdoor fan runs in the second working mode. The control method comprises the following steps that S1, the air conditioning system is controlled to enter arefrigeration mode; S2, according to the outdoor environment temperature and / or preset hours, the outdoor fan is controlled to enter the first working mode or the second working mode. According to the control method of the air conditioning system, the air conditioning system can control the outdoor fan to enter the first working mode or the second working mode according to the outdoor environmenttemperature and / or the preset hours, and when the outdoor fan runs in the second working mode, the wind gear of the outdoor fan is lowered, so that the use reliability the air conditioning system cannot be affected, and the requirement of a user on comfortableness can be met.

The invention relates to the technical field of multi-unmanned-aerial-vehicle cooperative operation and three-dimensional modeling, in particular to a multi-unmanned-aerial-vehicle cooperative three-dimensional rapid modeling method for a highway accident scene, and the method comprises the steps: generating a three-dimensional grid map of an accident area through the scanning of a millimeter-wave radar by a main control unmanned aerial vehicle; subareas are divided according to a load balancing strategy and are distributed to slave unmanned aerial vehicles, the slave unmanned aerial vehicles traverse grids along a snake-shaped track, laser radar point clouds and five-view-angle images are synchronously collected, data are bound through double time stamps and space coordinates, the point clouds are preprocessed through edge computing nodes, and the point clouds are stored in a database; the master control unmanned aerial vehicle evaluates quality based on density standard deviation and overlapping matching degree and instructs to reacquire, performs high-precision Poisson reconstruction on an accident core area, performs voxelization processing on a peripheral area, maps image textures, optimizes vehicle deformation details, simplifies a model and retains key element precision, and finally performs data processing. License plate coordinates, a scattered object thermodynamic diagram and an emergency lane occupation state are automatically marked, a visual model is generated, and rapid and accurate restoration of an accident scene is realized.

The invention discloses a chip packaging module structure and an electronic product, and relates to the technical field of chip packaging, the chip packaging module structure comprises a PCB, an insulating substrate, a first radiator and a second radiator; the insulation substrate is arranged on the PCB, the insulation substrate is provided with a first side and a second side, the insulation substrate is provided with a first chip in an integrated mode, the first chip is located on the second side of the insulation substrate, the insulation substrate is provided with a plurality of via holes penetrating through the first side and the second side, metal is arranged in each via hole, at least part of the via holes are conductive holes, and the first chip is arranged on the first side of the insulation substrate. The metal in the conductive hole is used as a part of an electric connection structure between the PCB and the plurality of chips; the first radiator is in thermal conduction connection with the first chip; the second radiator is arranged on the other side of the PCB, and a longitudinal heat conduction structure is formed between the second radiator and the first chip, so that the second radiator is in heat conduction connection with the first chip; the technical scheme provided by the invention aims to improve the heat dissipation efficiency.

The invention discloses a sludge low-temperature oxidation treatment system and method. The system comprises a pretreatment unit, a feed lifting mechanism, a low-temperature oxidation furnace, a flue gas purification unit and an automatic control unit. The low-temperature oxidation furnace is divided into a feeding area, a low-temperature oxidation area and an air distribution and slag discharge area from top to bottom, an air distribution plate is provided with air outlets which are uniformly arrayed, the temperature of the low-temperature oxidation area is controlled to be 420-480 DEG C, and generation of dioxin is inhibited from the source. The pretreatment unit is used for mixing sludge, biomass and quartz sand to form a loose breathable material to prevent the sludge from hardening; the method comprises the steps of material mixing, continuous feeding oxidation, temperature closed-loop regulation and control, flue gas purification and ash treatment, high-water-content municipal sludge can be stably treated, the energy consumption is low, the dioxin generation amount is low, flue gas emission reaches the standard, ash can be recycled, and the method is suitable for large-scale municipal sludge harmless treatment.

The invention discloses a loss diagnosis and health management system and method for a transformer, and belongs to the technical field of intelligent transformers, and the system comprises a thermal fingerprint module which is used for recording a temperature drop curve of each part of the transformer after planned power failure, and obtaining a thermal inertia fingerprint of the transformer based on the fitting of multiple temperature drop curves; the theoretical temperature module is used for calculating the theoretical cold body temperature of each part of the transformer based on the real-time environment temperature and the thermal inertia fingerprint when the transformer runs; the net temperature rise module is used for acquiring the actual temperature value of each part of the transformer and subtracting the corresponding theoretical cold body temperature from the actual temperature value; weak thermal characteristic signals caused by insulation aging and loss abnormity of the transformer can be accurately extracted from strong background noise such as load fluctuation and environment temperature through technologies such as thermal inertia fingerprint construction and net temperature rise separation, early diagnosis of progressive health deterioration is realized, support is provided for intervening potential faults in advance, and the fault diagnosis accuracy is improved. And the passive situation of post-treatment of operation and maintenance is changed.

The invention discloses a belt conveyor fault intelligent inspection and diagnosis method and system based on digital twinning, and the method comprises the steps: building a digital twinning model of a belt conveyor, and fusing a three-dimensional geometric model and a physical behavior model, constructing a fault simulation model for simulating the incidence relation between different fault types and physical parameters based on a digital twinborn model; collecting and preprocessing multi-source data, loading a fault detection model to recognize an image, and fusing physical parameter data; performing fault reasoning by the intelligent reasoning model; the digital twin model reproduces a fault scene based on the fault simulation model and loads solution simulation; if the result is valid, issuing an instruction; according to the diagnosis method, a digital twin model associated with equipment behaviors is built, comprehensive diagnosis is performed by combining image data and physical parameter data, fault and behavior association is realized, and faults are accurately positioned; the fault simulation model cooperates with the digital twin model to reproduce a fault scene, and loads reasoning result simulation and a virtual-real combined mechanism control instruction to guarantee operation and maintenance safety.

The invention relates to the technical field of ship safety, and discloses a ship safety management monitoring system based on the Internet and a Beidou satellite, the system comprises a coordinate analysis module, a ship state module, a data fusion module, an abnormity identification module and an early warning message sending module, a satellite positioning signal is analyzed, and real-time latitude and longitude coordinates of a ship are obtained; generating comprehensive operation parameters of the ship according to the attitude, the navigational speed, the load and the main engine operation parameters of the ship; performing data fusion on the longitude and latitude coordinates after timestamp alignment and the comprehensive operation parameters to obtain an operation feature vector of the ship; performing abnormal mode identification on the operation feature vector based on historical navigation data and a preset safety threshold to obtain a risk category of the ship; when a risk category occurs, generating a treatment measure message of the risk category, and sending the treatment measure message to a ship-end display terminal and a shore-based management terminal through communication between the Internet and a Beidou short message; the ship safety management efficiency can be improved.

The invention discloses a testing device, which comprises a platform, a supporting seat, a pressure applying rotating shaft and a driving part, and is characterized in that the platform is provided with a fixing part, and the fixing part is used for fixing an axial air foil bearing; the supporting seat is located above the platform and installed on the platform, a shaft hole is formed in the supporting seat, and the shaft hole is located over the fixing part and penetrates through the supporting seat in the vertical direction; the pressing rotating shaft is movably arranged in the shaft hole in a penetrating mode in the vertical direction, and the bottom of the pressing rotating shaft is used for being attached to the axial air foil bearing in a normal state; the driving part is in driving connection with the pressure-applying rotating shaft to drive the pressure-applying rotating shaft to rotate. According to the testing device, the axial air foil bearing can be rapidly tested, and the production requirement of large-scale mass production is met.

The invention discloses a coal mill internal multi-source heterogeneous data fusion early warning method and system, and belongs to the technical field of industrial equipment fault diagnosis. The method aims at solving the technical problems that an existing coal mill early warning method is insufficient in multi-source data fusion, poor in working condition adaptability, low in early warning accuracy and lack of fault tracing and accurate control. According to the technical scheme, the method comprises the steps that structured process parameter data and unstructured physical field data of the coal mill are obtained; constructing a digital antigen vector representing a running state; constructing an autologous space based on the historical health data, and generating a dynamic immunodetector set covering a non-autologous space; calculating the Euclidean distance between the digital antigen vector and the detector and a danger signal index; early warning is triggered through cooperative judgment, feedback control is executed, and a fault source is positioned in combination with fault tracing. The device state can be comprehensively represented, the working condition adaptability and the early warning accuracy are improved, accurate fault positioning and control are achieved, and the device maintenance cost is reduced.

The invention belongs to the technical field of new energy automobile steering systems, and discloses a new energy automobile electric hydraulic power-assisted steering system and a control method thereof.The system integrates a double-source redundant hydraulic power unit, a hydraulic adjusting unit, a multi-dimensional working condition sensing unit and an intelligent main controller; the multi-dimensional working condition sensing unit is integrated with a road adhesion coefficient detection module and a battery remaining capacity detection module. The control method is layered look-ahead matching control and is executed by an intelligent main controller in parallel: a power-assisted decision-making layer divides a three-stage power-assisted mode according to multi-dimensional perception information, and limits a steering angular velocity when power-assisted is enhanced on a low-attached road surface; the energy optimization layer predicts and implements prospective energy storage and pump rotating speed self-adaptive adjustment based on the intention of a driver; and the fault diagnosis layer realizes rapid fault identification and redundancy switching through multi-parameter collaborative diagnosis. The contradiction of high energy consumption, response delay and weak safety guarantee of a traditional system is solved, and power-assisted steering which is safe, energy-saving, fast in response and high in adaptability is achieved.

The invention relates to a physical unclonable function modeling attack resisting method based on a neural network. The method comprises the following steps: generating a multi-bit random bit stream by using a random seed generated by an LFSR module, and simultaneously acting PUF excitation on a plurality of physical unclonable functions to generate a multi-bit physical unclonable function response; the method comprises the following steps: constructing an initial feature matrix by utilizing a Decoder module, and equally dividing position decoding excitation into a plurality of binary position decoding sub-excitation with a certain length; sequentially guiding multi-bit physical unclonable function responses to storage units of corresponding addresses to form a physical unclonable function response feature matrix, and inputting the physical unclonable function response feature matrix into the neural network model to obtain one-bit confusion response; and the other bit of confusion response of the random seed is reutilized until a final confusion response sequence with a preset bit is generated, and the server compares the final confusion response sequence with an expected confusion response to complete identity authentication. By adopting the method, the hardware security can be improved.

The invention belongs to the technical field of computer software and data processing, and provides a differential upgrading method for a compressed file, which is divided into a differential stage and a reduction stage: the differential stage: decompressing an original compressed package of a starting version and an original compressed package of a target version; unifying and standardizing file permissions for the two decompressed folders, and modifying, accessing and changing timestamps; re-compressing to generate a first new compressed file and a second new compressed file with byte-level certainty; generating a first difference file based on the difference between the standardized directory structure and the content; comparing the second new compressed file with the original compressed file of the target version, performing lossless analysis on the ZIP metadata, and performing structured modeling on difference information to generate a second difference file; in the reduction stage, standardization, first differential reduction, recompression and second differential driven metadata accurate reconstruction are sequentially executed, and a result completely consistent with the byte level of the original compressed file of the target version is output. According to the method, the differential compression ratio and the restoration fidelity can be improved.

The invention discloses an IDC machine room fault point prediction method and system based on artificial intelligence and the Internet of Things, relates to the technical field of computers, and aims to solve the problems that hidden risks cannot be identified before temperature exceeds a limit, fault response is passive, and fault cause interpretation ability is lacked in the aspects of heat dissipation and airflow organization management of an existing IDC machine room. According to the method, data of a PDU, a UPS, an air conditioner, a temperature and humidity probe, a BMC, an entrance guard and the like are analyzed and standardized through data access of the Internet of Things, and a unified time axis is constructed to carry out quality marking and credible normal fragment screening; based on cabinet topology and an air supply partition map, effective air volume and theoretical temperature rise are estimated, a cabinet-level air supply temperature field is solved under anchoring constraint and spatial smooth constraint, and the short-circuit air return proportion and a vertical hot spot height section are further inverted; therefore, early prediction, accurate positioning and explainable output of fault points are realized, and the stability and the operation and maintenance efficiency of the machine room are improved.

The invention provides a deep-learning artificial lens degree determination method and device for a equi syndrome patient and electronic equipment, and relates to the technical field of medical artificial intelligence, and the method comprises the steps: obtaining clinical data of the equi syndrome patient; preprocessing the clinical data of the equi syndrome patient to obtain an eight-dimensional feature data set; performing first-layer prediction on the eight-dimensional feature data set through a plurality of regression models to obtain a plurality of intraocular lens preliminary prediction degrees; and splicing the plurality of preliminary predicted degrees of the artificial lens with the eight-dimensional feature data set, and performing second-layer prediction on the spliced data to obtain a final predicted degree of the artificial lens. According to the method, the IOL degree of the CEL patient can be accurately and stably calculated, so that the technical bottlenecks of a traditional formula and an existing single AI model are overcome, and the success rate of an operation and the visual prognosis of the patient are assisted to be improved.

The invention discloses an electric meter intelligent communication detection method and system based on a power line carrier, and relates to the technical field of electric meter communication detection, and the method comprises the steps: collecting the communication data of an electric meter at different time periods, inputting an electric meter communication state dynamic sensing model, analyzing features, and obtaining an initial evaluation result; channel characteristic parameters are calculated by using a carrier channel characteristic dynamic estimation algorithm based on the result, and the channel characteristic parameters are input into a power carrier signal demodulation optimization algorithm to generate an optimized demodulation scheme; signals are demodulated and data are verified according to the scheme, related results are uploaded to an electricity meter communication performance optimization management platform, and the platform evaluates performance and generates optimization suggestions and fault early warning. The system comprises a data acquisition unit, a state analysis unit, a channel calculation unit, a demodulation optimization unit, a data processing unit and a performance management unit which operate cooperatively. The communication state can be dynamically sensed, the channel characteristics can be accurately estimated, the demodulation process can be optimized, the integrated management of the communication performance can be realized, and the accuracy and reliability of the electric meter communication can be improved.

The invention provides a hollow-core-to-hollow or solid-core-to-hollow optical fiber connection jumper wire and a preparation method thereof. The jumper wire comprises a transmission fiber and connectors connected to the two ends of the transmission fiber. The transmission fiber is a hollow-core optical fiber, the connector comprises an optical fiber fixing device and an integrated welding structure fixed in the optical fiber fixing device, the integrated welding structure comprises a transmission fiber, a coating film and a transition fiber which are fixedly connected in sequence, the coating film performs anti-reflection on a set wavelength, the transition fiber is a solid-core optical fiber, and the outer side end of the transition fiber serves as the output end of the connector; and the output ends of different connectors are oppositely arranged so as to realize transmission connection between different jumpers. Pluggable, stable and reliable connection between the hollow-core optical fibers or between the hollow-core optical fibers and the solid-core optical fibers is achieved.

The utility model discloses a kind of projection welding machine with nut welding detection, comprising: projection welding machine body;Control cabinet, install on the projection welding machine body;Alarm device, install on the control cabinet;Mounting table, fixedly connected on the projection welding machine body;Conveying mechanism, set on the mounting table.The utility model is welded in nut after projection welding machine body to workpiece, while taking off workpiece from welding platform by staff, workpiece is placed on the conveying belt on conveying mechanism, opens drive arrangement, conveying belt drives workpiece to move to the detection position of visual inspection mechanism, opens visual inspection mechanism, visual inspection mechanism carries out photographing to welding position, the data transmission of photographing is in control cabinet, control cabinet analyzes welding effect, when defect occurs, alarm device issues alarm signal to remind staff, this structure design, prevent defective workpiece from on market, ensure workpiece product quality and reliability.

This application provides a method, system, medium, and equipment for detecting thermal hazards in tunnels, relating to the field of tunnel safety detection. The method includes: acquiring geological feature data of the target tunnel; identifying a group of thermal hazard parameters with a correlation greater than a set threshold; setting a quantitative scoring range based on this; using the analytic hierarchy process (AHP) to assign weights and calculate hazard scores; then, combining relevant data to establish a dataset and training a lightweight gradient boosting model; finally, inputting data from an unexcavated tunnel section into the model to output the thermal hazard level. This application, by acquiring geological feature data, can accurately understand the environment, screen key parameters to eliminate redundancy, quantify parameters, and rationally allocate weights to ensure objective and accurate scores. It enables tunnel thermal hazard detection and early warning, providing guidance for prevention and control, reducing impact, and is of great significance to tunnel engineering.

The utility model provides a kind of light six-axis robot belongs to mechanical hand technical field.It solves the problem of slow start, brake and low response speed of six-axis robot in prior art due to its heavy weight.The utility model includes turbine box, driving arm seat, light driving arm, connecting rod, intermediate seat, driving wrist and forepaw assembly, turbine flange is installed at the top of turbine box, driving arm seat is connected and fixed with turbine box by turbine flange, the inside of light driving arm is hollow structure and the both ends of light driving arm are formed with large connecting seat and small connecting seat respectively, large connecting seat is connected with driving arm seat, the both ends of driving arm seat are fixedly connected with cycloidal reducer and servo motor, servo motor extends motor shaft, and motor shaft is connected with connecting rod transmission shaft, connecting rod lower end is connected with connecting rod transmission shaft, connecting rod is set along the direction of light driving arm, and the other end of connecting rod is connected with the bottom of intermediate seat, side plate is formed on the both sides of intermediate seat, and small connecting seat is connected with side plate.The utility model has the advantages of light weight and compact structure.

The application discloses a comprehensive linkage alarm system for fire hazards and structure instability of timber buildings, and relates to the technical field of timber safety monitoring, which comprises the following modules: a multi-dimensional heterogeneous signal acquisition module for collecting data and constructing real-time state monitoring data sets; a structure spectrum benchmark modeling module for constructing a thermal-rigidity attenuation theoretical model; a thermal-frequency correlation analysis module for generating a thermal-frequency deviation degree index; a structure state determination module for identifying timber pyrolysis states and structure instability risks; a cascade response module for executing corresponding fixed-point spraying control, evacuation path planning and alarm output; and a self-adaptive feedback correction module for warehousing data and correcting thermal aging parameters. The application establishes a correlation model of thermal and rigidity by fusing thermal imaging and vibration data, effectively eliminates environmental wind load noise, realizes accurate identification of internal hazards of timber buildings, and improves the accuracy of building monitoring and the efficiency of emergency response.

This invention proposes an energy storage-assisted unlocking structure, a socket and connector assembly, and an unlocking method. The energy storage-assisted unlocking structure includes: a locking sleeve; an energy storage push rod slidably inserted within the locking sleeve, with an annular groove on its inner circumferential surface; an energy storage spring abutting against the end of the energy storage push rod, which maintains compressed energy storage during locking and releases to drive the energy storage push rod axially during unlocking; a locking steel ball disposed between the energy storage push rod cavity and the energy storage locking rod, which can move radially; and an energy storage locking rod slidably inserted within the energy storage push rod cavity, which, during locking, forces the locking steel ball into the annular groove for radial limiting and allows the locking steel ball to disengage from the annular groove during unlocking. This invention, through the energy storage push rod and energy storage spring, pre-compresses the energy storage spring to store elastic potential energy during locking and releases this potential energy during unlocking to drive the energy storage push rod to impact the target locking rod, transforming traditional static pull-out unlocking into dynamic impact unlocking. Under overload conditions, only a small operating force is required to complete unlocking, effectively solving the problem of excessive unlocking force or even jamming in existing structures under overload, and significantly improving unlocking reliability.

The application discloses a tunnel or mine gushing water space-time prediction method and system coupled with a water power numerical model, and the method comprises the following steps: based on the identified and verified underground water numerical model, outputting multi-source data, complementing the missing measured data, quantifying the difference between fault and normal stratum permeability characteristics and coupling to the data system, and incorporating the tunnel or mine excavation space data. An LSTM-isolation forest-K nearest neighbor regression coupled model is constructed, and a multifunctional module is configured to realize common training of multi-scene data. The pretreated multivariate time series data is divided into a training set and a test set, hidden features are extracted through the coupled model, abnormal detection results are fused, a residual correction model is trained synchronously, and the hyperparameters and weights are adaptively optimized according to the multi-project prediction error feedback. Based on the trained coupled model, a window rolling strategy is adopted to carry out synchronous gushing water space-time prediction, residual correction is combined, and prediction data meeting the engineering precision is output. Reliable technical support is provided for engineering construction safety control.

This utility model discloses a dough proofing and feeding device. The feeding machine includes a feeding frame, within which two parallel first chain drive mechanisms are arranged. A plurality of evenly distributed feeding bowls are rotatably arranged between the two first chain drive mechanisms along their transmission direction. A locking structure is provided between adjacent feeding bowls. On the lower straight section of the chain of the first chain drive mechanism, the feeding bowls can maintain their position from rotation through the locking structure. The feeding frame is provided with a discharge support structure that enables the entire set of feeding bowls to flip as it moves on the upper straight section of the chain. A second motor drives the first chain drive mechanism, causing the feeding bowls to move cyclically, achieving continuous and efficient material conveying and improving feeding efficiency. Utilizing the cooperation of the discharge support guide rail, discharge notch, and rollers, the feeding bowls can be precisely controlled to flip and unload at specific positions, making the unloading process accurate and controllable.

The application provides a large model inference acceleration method, device, equipment, storage medium and program product, and relates to the technical field of artificial intelligence, and the method comprises the following steps: inputting an interactive prompt word and historical dialogue into a large language model for self-recurrence decoding to obtain a current word element; it is detected whether the current word element is a text operation semantic word element; if the current word element is a text operation semantic word element, a target text segment is copied from existing text information based on the text operation semantic word element; a plurality of target word elements are updated to the end of the output text; based on the large language model, self-recurrence decoding is continued to generate a next word element, the next word element is taken as the current word element, and the step of detecting whether the current word element is a text operation semantic word element is returned to until the large language model generates an end symbol, and an updated output text is obtained. Through the above manner, the text copying efficiency is improved, the inference acceleration effect of the large language model is optimized, and the accuracy and stability of the copying operation are beneficially ensured.

The application discloses a fan shell front and rear hole position positioning method and system based on image recognition, comprising the following steps: S1: collecting a fan shell image through a calibrated binocular camera, and performing stereo correction and illumination invariance enhancement processing to obtain binocular enhanced image data; S2: performing instance segmentation on the binocular enhanced image data based on an instance segmentation neural network to obtain a hole position pixel region set with front and rear semantic labels; S3: performing data-driven hole position coarse matching on the hole position pixel region set through a graph neural network, and constructing a physical constraint rule model to optimize and verify the matching result, and outputting an accurate image matching pair set of the front and rear hole positions; and S4: based on the accurate image matching pair set, constructing a cost function to solve the shell pose and obtain final world coordinates, and realizing the front and rear hole position positioning of the fan shell.

The utility model relates to fan transmission system technical field, and disclose a kind of assembly impeller, including impeller and main shaft, the detachable connection between the impeller and main shaft, at least two symmetrical distribution's protruding tooth is processed in the main shaft end face;The recess matched with the protruding tooth is opened in the impeller body end face, and torque is transferred by the side surface contact of the protruding tooth and recess;The utility model is matched by protruding tooth and recess, and contact area is big, can effectively disperse torque, reduce local stress concentration;Symmetrical distribution's protruding tooth makes stress more balanced, avoids the local failure caused by structural deviation.

The utility model relates to a wall seat structure for installing and fixing a sunshade, which belongs to the technical field of the sunshade and comprises an arm seat frame connecting piece, a transition connecting block is arranged at the front end of the arm seat frame connecting piece, and a bolt through hole connected with the arm seat frame connecting piece through a screw and nut structure is arranged on the transition connecting block. The arm seat frame connecting piece comprises an inserting block, an adjusting connecting block integrated with the inserting block is arranged at the front end of the inserting block, and a U-shaped fixing groove penetrating through the bolt is formed in the adjusting connecting block. The device has the characteristics of simple structure, convenience in installation and high structural strength. The wall body fixing part and the sunshade arm connecting part are connected through the movable transition pivot, so that angle fine adjustment after installation is achieved, and different sunlight irradiation angles or storage requirements are met.

The invention relates to a signal probability calculation method for reducing correlation errors of digital circuit signals, which comprises the following steps of: acquiring a circuit netlist file, and analyzing and extracting circuit topological structure information; constructing a directed acyclic graph of a circuit structure according to the circuit topological structure information, performing hierarchical division on the circuit structure, and searching fan-out nodes; calculating an initial signal probability result of each node of each level by utilizing a directed acyclic graph and combining a signal probability calculation basic formula; calculating a signal probability result of each node when different signal probabilities are set at the fan-out node, and performing weighted calculation to obtain a weighted signal probability result of each node; calculating an initial correction signal probability result of each node of each level; counting an initial signal probability result, a weighted signal probability result and an initial correction signal probability result, and calculating a final signal probability result of each node of the circuit in combination with an inference rule and a statistical result. According to the method, the accurate signal probability result of each unit of the circuit can be calculated.

This utility model discloses a high coaxiality radio frequency connector, including a male and a female connector. The female connector has three sets of connecting plates on its outer periphery, and the male connector has three sets of insertion slots on its outer periphery that mate with the connecting plates. A disassembly component for separating the male and female connectors is located beside the insertion slots. The female connector is inserted into the insertion slot of the male connector via the connecting plates, completing the coaxial connection between the male and female connectors. This utility model, through the cooperation between the connecting plates of the female connector and the insertion slots of the male connector, and the correspondence between the fastening protrusions and the positioning slots, makes the connection between the male and female connectors more precise, effectively preventing displacement or deformation of the inner and outer conductors caused by frequent insertion and removal, maintaining stable coaxiality, and ensuring signal transmission consistency and reliability.