459results about How to "Guaranteed validity" patented technology

The invention discloses a WebSocket-based instant message task assigning system. The system comprises two parts, i.e., a server and clients, wherein the server is deployed on an application server and configured with ports for providing external services, and the server is then started; the clients comprises an APP client and a PC client; and information data transmission among the server, the APP client and the PC client is achieved based on the WebSocket protocol, that is, the server provides the instant messaging service, and the clients achieve acquisition of data from the server. Compared with the prior art, the system provided by the invention has the advantages that WebSocket-based instant message task assigning is achieved, and information can be synchronized between the information acquisition clients, so that high timeliness, effectiveness and safety of the information are ensured.

The invention discloses an industrial software cloud base intelligent operation and maintenance and fault self-healing method based on digital twinning, and relates to the technical field of digital twinning. According to the method, the hierarchical digital twinborn model is constructed and dynamically updated, and the operation state of the cloud base is accurately mapped and visually displayed in combination with independent visual modules of a physical layer, a logic layer and an application layer; the method comprises the following steps: calibrating a reference value in real time through a dynamic reference library, quickly identifying abnormity of each layer, generating graded early warning, improving abnormity response timeliness, constructing a dynamically updated fault knowledge graph based on historical fault data, integrating a multi-dimensional correlation analysis and confidence coefficient verification mechanism, positioning a unique fault reason, greatly shortening a fault diagnosis period, and improving fault diagnosis efficiency. And a strategy library is constructed based on a fault knowledge graph and historical self-healing cases, simulation verification is carried out on candidate strategies through a digital twin model, the effectiveness of the self-healing strategies is ensured, and then the self-healing strategies are issued and executed, so that intelligent and automatic fault repair is realized, and stable operation of the cloud base is ensured.

The invention relates to the technical field of industrial enterprise carbon data management, and discloses an industrial enterprise supply chain carbon footprint economic accounting and management method for a dual-carbon target, and the method comprises the steps: selecting and obtaining a public high-frequency economic agent signal based on a technical premise that core factors for driving industrial product price and carbon emission intensity have homology, dynamically correcting the static reference emission factor through a relevance conduction model; according to the method, a public economic signal is utilized to avoid a traditional mode of relying on static lagging data, the technical problem that the real dynamic state of the carbon intensity of the supply chain cannot be sensed is solved, and the real dynamic state of the carbon intensity of the supply chain can be sensed. The almost real-time carbon risk situation sensing ability of an enterprise is improved, and passive bookkeeping after carbon management is engaged is converted into active intervention fused into daily business.

This application discloses an adaptive scheduling method, system, device, and storage medium for unmanned aerial vehicles (UAVs). The method includes: acquiring task type, task execution time, target task weight set, environmental parameters, and historical success rate factor; inputting the environmental parameters into a preset function to obtain an environmental safety factor; performing an execution suitability assessment based on the corresponding weight values ​​in the target task weight set, the environmental safety factor, and the historical success rate factor to obtain a suitability assessment value; and scheduling the UAV based on the flight path corresponding to the task execution time and task type when the suitability assessment value meets preset task execution conditions. This improves the accuracy of the suitability assessment and fully ensures the effectiveness of the UAV in executing tasks.

The invention provides a ground laser positioning mountainous area multi-machine lifting cooperative control method and system, and relates to the technical field of cooperative control, and the method comprises the steps: 1, calculating a first real-time pose of an aircraft through a laser positioning signal transmitted by a laser positioning base station; according to the image data of the three optical identification points, calculating spatial three-dimensional coordinates of the three optical identification points to define a spatial geometric curved surface patch, and decomposing the curved surface patch into a strong signal manifold and a weak signal homotopy group; 2, taking the optical identification point of the central point of the upper edge of the front end surface of the load structure as a spatial reference origin, and connecting the two optical identification points of the left vertex and the right vertex of the lower edge of the rear end surface to form a first spatial vector and a second spatial vector; through laser positioning signal partitioning, load pose multi-source fusion optimization and dynamic compensation control of the Lyapunov potential function, the method adapts to signal shielding and attenuation scenes of mountainous complex terrains, inhibits load swing, reduces the risk of obstacle scraping and collision, and improves the safety of multi-machine lifting.

The utility model relates to electronic protector technical field, concretely is a kind of TVS device with automatic open circuit protection function, including device body, automatic open circuit protection mechanism and pin connecting mechanism, and automatic open circuit protection mechanism and pin connecting mechanism are fixedly connected in the inside of device body, in the utility model, through the setting of fusible wire, temperature sensor and memory alloy spring, the automatic open circuit protection of TVS device when encountering abnormal overcurrent or overvoltage is realized, fusible wire can rapidly fuse, and timely cut off circuit connection, prevent the further expansion of fault range, temperature sensor real-time monitoring temperature, when temperature abnormally rises, memory alloy spring will rapidly change under the signal driving of temperature sensor, the pressure generated by its deformation can assist fusible wire to fuse more quickly when reaching fusing temperature, greatly shorten the response time of automatic open circuit protection, greatly improve the security and reliability of circuit.

The present application provides a kind of forest tree species classification method, device, electronic equipment and storage medium, belong to artificial intelligence technical field, method includes: forest remote sensing image is input to forest tree species classification model, obtains the output tree species classification result;Forest tree species classification model includes preliminary feature processing module, high-order feature extraction module and tree species classification result output module, high-order feature extraction module is sequentially connected first residual block stack layer, first down-sampling layer, second residual block stack layer, second down-sampling layer, third residual block stack layer, third down-sampling layer and fourth residual block stack layer, stacked residual block embedding dimension rearrangement layer, dimension recovery layer and convolution block attention module.The present application improves the dimension compatibility of CBAM and convolution architecture by embedding explicit dimension rearrangement layer and dimension recovery layer in the residual block embedded with CBAM, effectively improves the classification accuracy of forest remote sensing image for forest tree species classification task.

This invention discloses a target recognition method, docking system, and docking method in a space environment. By adjusting the output intensity of the sunlight simulator's light source and the position and angle of the simulated work equipment, different types of simulated target images are obtained, forming a target photo library. The simulated target images are processed into small target images and then placed into a small target image library. This small target image library is merged with the target photo library augmented by GAN data, and divided into training and testing libraries proportionally. An SA-YOLOX network is constructed. The SA-YOLOX network is trained using the training library to obtain an SA-YOLOX target detection model. The augmented target photo library is tested using the SA-YOLOX target detection model and the testing library to obtain test results. Based on the test results and model metrics, an evaluation result is output. This invention effectively overcomes the performance index problem of the YOLO series algorithms in solving the special situation of high-contrast image target recognition in complex space environments.

The application discloses a low-cost low-orbit satellite attitude and orbit control ground simulation system, and a technical solution for realizing the purpose of the application is divided into two steps of fixed-axis attitude adjustment and free attitude and orbit control, required devices include a micro wind tunnel mechanism (1) and a support mechanism, the support mechanism is divided into a fixed-axis support (2) and a free support (3). The micro wind tunnel mechanism (1) is used for simulating 300KM atmosphere in ground tests. The micro wind tunnel mechanism (1) is an open-circuit wind tunnel in the experiment. The micro wind tunnel mechanism (1) is divided into an experimental section (1C), a steady flow section (1B) and a large-angle diffusion section (1A); the atmospheric sail (4) is first installed on the support mechanism and then placed in the experimental section (1C). The airflow generated by the fan is injected into the large-angle diffusion section (1A) through the fan sleeve (5), flows through the steady flow section (1B), after the airflow quality is improved in the porous air duct (18) of the steady flow section (1B), the airflow flows into the experimental section (1C) and is finally discharged into the atmosphere. The micro wind tunnel mechanism (1) has small volume and low cost, and is suitable for ground experimental simulation of low-speed atmospheric sail small satellites.

The application relates to a matching welding method and system of an automobile bumper, and relates to the technical field of welding, which comprises the following steps: collecting first vibration detection information of a bumper beam clamp, second vibration detection information of an energy absorption box clamp and welding parameters of a welding device; determining first vibration offset parameters according to the first vibration detection information; determining second vibration offset parameters according to the second vibration detection information; analyzing the first vibration offset parameters and the second vibration offset parameters to determine the relative offset amount of the energy absorption box; based on the welding parameters, calling a welding current position point and a current welding power; combining the welding current position point and the relative offset amount to determine welding offset influence parameters; when and only when the welding offset influence parameters meet a preset moving reference reference value, combining the welding offset influence parameters and the current welding power to determine welding adjustment information, and outputting the welding adjustment information. The application has the effect of improving the welding quality of the energy absorption box and the bumper beam.

The present application relates to the technical field of network security, and more particularly to a cloud platform vulnerability real-time quantitative analysis system based on a dynamic knowledge graph, which comprises a multi-source heterogeneous data acquisition unit, a dynamic knowledge graph construction unit, a vulnerability quantitative evaluation unit, an intelligent response disposal unit and a visual verification unit.The vulnerability quantitative evaluation unit identifies the possible propagation path of the vulnerability through an improved weighted breadth-first search algorithm, and introduces a real-time relationship weight and a path attenuation mechanism.The present application can improve the accuracy of vulnerability propagation path identification and the accuracy of risk level quantification by generating dynamic relationship edge weights through a real-time weight calculation module, combining a path attenuation processing module to adjust the weight of long-term non-vulnerability propagation correlation, and cooperating with the weighted breadth-first search algorithm to identify the vulnerability propagation path, thereby effectively solving the problem that traditional risk assessment relies on static parameters and is easily disturbed by invalid paths.

The present application relates to the field of dam inspection, especially to a kind of image processing method and system for dam inspection, the present application is by controlling unmanned aerial vehicle to fly over detection area according to predetermined trajectory, when unmanned aerial vehicle is pre-entered detection area, continuously obtain image information and carry out multidimensional analysis, based on the result of multidimensional analysis and mirror surface reflection index, calculate to obtain spectral characteristic interference representation value, set interference label for detection area, subsequent interference label based on the control of unmanned aerial vehicle in detection area adaptively obtains spectral information in monitoring area, subsequent generation perspective adjustment instruction, by sampling determination selection confidence sampling position obtains spectral information, the present application is by image information in advance sensing interference situation of spectral information extraction in detection area, adaptively select spectral information capture mode, under the premise of guaranteeing inspection efficiency, improve the quality and reliability of the obtained spectral information, provide effective data support for subsequent analysis dam potential anomaly.

The application relates to a novel power system grid fault feature analysis method, first, four-dimensional data of alternating current side electrical quantity, direct current side conversion parameter, equipment operation state and environmental meteorological parameter are integrated, and the integrated data is subjected to noise reduction, normalization, missing value completion and abnormal value elimination treatment, so that a standardized feature sample set is formed, then, an improved wavelet packet transform is adopted to decompose a transient signal, time domain, frequency domain and time-frequency domain features are extracted, so that a high-dimensional fault feature matrix is constructed, then, a fault feature secondary verification is realized in a mode of combination of cosine similarity and dynamic time warping; meanwhile, a graph convolution network is introduced, fault contribution degrees of each node are calculated in combination of a power grid topological structure and a power flow distribution, a fault source is accurately positioned, a fault propagation path is combed, and a fault influence range is quantified; and the application has the advantages of comprehensiveness, high efficiency, accuracy and strong adaptability.

The invention discloses a biomedicine standardized cubesat platform and a working method, and relates to the technical field of space.The biomedicine standardized cubesat platform adopts a 3U cubesat framework, the top layer of the 3U cubesat framework is provided with a satellite bus module, the middle layer of the 3U cubesat framework is provided with an energy and environmental control life support module, and the bottom layer of the 3U cubesat framework is provided with a biological experiment module; the satellite bus module is in bidirectional communication with the energy and environment control life support module and the biological experiment module through data interfaces. The satellite bus module further communicates with a ground station; the energy and environment control and life support module supplies energy to the satellite bus module and the biological experiment module through electrical interfaces, and provides oxygen supply, water supply and environment regulation and control support for the biological experiment module through a fluid transmission channel. Through a standardized and modularized cubesat structure, the functions of biological sample culture, environment regulation and control, real-time monitoring, data return and the like are integrated, and a low-cost and quick-response technical support is provided for space life science experiments.

The invention discloses a height-adjustable pipeline suite and a pipeline. The pipeline suite comprises a first half suite and a second half suite, an integrally formed shaft rod is arranged on the outer wall of the first half sleeve piece; a rotatable clamping plate is connected to the shaft rod, and a plurality of saw-tooth-shaped buckles are integrally formed in the middle of the inner side face of the clamping plate; an assembly clamping groove is formed in the outer wall of the connecting position of the second half sleeve piece, and a plurality of buckle grooves are formed in the outer wall of the second half sleeve piece. The outer wall of the second half sleeve piece is attached to the inner wall of the first half sleeve piece to be combined, the buckle protruding strips are clamped into the assembling clamping grooves to be positioned, and the straight edges of the sawtooth-shaped buckles are buckled with the buckle grooves. The pipeline comprises a plurality of pipe bodies, the ends of the adjacent pipe bodies are connected through the pipeline suite, the structural arrangement is reasonable, the connecting effectiveness of the two structures can be improved, the assembling convenience is improved, the buckling position of the two structures can be adjusted according to different sizes, the connecting requirements of the pipe bodies of different sizes can be met, and the practicability is high. And the application range is widened.

The application relates to a vehicle underbody living body detection method, a computer program product, an electronic device and a vehicle. The detection method comprises the following steps: taking a vehicle underbody image as a reference image when the vehicle is powered off; determining a real-time image with a difference region as a to-be-detected image based on the reference image and the real-time image of the vehicle underbody; determining feature detection information of the to-be-detected image, and realizing identification of a vehicle underbody living body and / or determination of a vehicle underbody living body state based on the feature detection information. Based on this, the application can improve the pertinence and efficiency of vehicle underbody detection, and guarantee the accuracy and effectiveness of vehicle underbody living body detection results.

This utility model discloses a battery, comprising: a casing with a receiving cavity; a battery cell disposed within the receiving cavity; a first tab, one end of which is welded to the battery cell and the other end of which extends through the casing; and a second tab, one end of which is welded to the battery cell and the other end of which extends through the casing, wherein the second tab has the opposite polarity to the first tab; wherein at least one of the first tab and the second tab has a bending region between its two ends, the bending region being located within the receiving cavity, and a rotating structure capable of rotatability under force is provided at the bending region. When the battery of this utility model undergoes conventional reliability tests such as roller tests and drop tests, the tabs are less prone to breakage, preventing internal circuit breaks within the battery cell and ensuring the integrity and effectiveness of the battery cell during the testing process.

The utility model discloses a modified polypropylene pelletizing device which comprises pelletizing blades, a transmission rod, a guide pipe, a driving column, a spiral rubber strip and a motor, the pelletizing blades are distributed and installed on the annular face of a rotating disc, the middle of the rotating disc and one end of the transmission rod are assembled together, the rotating disc is arranged in a front circular groove, and the other end of the transmission rod is arranged in a rear circular groove. Guide pipes are distributed around the driving column located on one side of the middle of the transmission rod, and a spiral rubber strip is arranged on the surface of the driving column. The utility model has the difference that the same power structure is utilized to drive the spiral rubber strip positioned on the driving column to rotate, and the spiral rubber strip partially extends into the strip-shaped hole to be in frictional contact with the modified polypropylene line, so that the function of driving the modified polypropylene line to move and feed towards the cutting position is realized, the structure of the pelletizing equipment is greatly simplified, and the production efficiency is improved. And the length of the contact area of the spiral rubber strip and the modified polypropylene line is long, so that the effectiveness and continuity of driving the modified polypropylene line are ensured, and the cutting and feeding synchronism is high.

The application discloses a building energy consumption real-time control method based on DQN, generates multiple groups of scenes based on building photovoltaic power generation and building rigid load prediction data, optimizes building energy consumption behavior by using a DQN algorithm, reasonably designs a DQN reward function by using the concept of random optimization, and makes the optimization result have good robustness to the uncertainty of building power generation and load. The application makes the building maintain high comfort all day, increases the flexibility of building energy consumption by scheduling energy storage equipment, and reduces the building energy consumption cost.

The utility model discloses a rotary induction magnet structure for a coded disc of a brake controller, which is connected to the coded disc of the brake controller and comprises a motor, and a main shaft of the motor is connected to the center of the coded disc of the brake controller through a bearing; a magnet is embedded and fixed at the end part of a spindle of the motor; an inductive probe is arranged in a shell of the motor; a signal wire connected with the inductive probe is arranged in a shell of the motor, and the end part of the signal wire is connected with a plugging terminal in a plugging manner; the motor rotates to drive the magnet to rotate, the induction probe inducts the number of rotation turns of the magnet and transmits induction signals to the motor control circuit board, and the motor control circuit board controls the motor to rotate reversely and reset. According to the utility model, the structure arrangement is reasonable, the magnet is embedded at the end part of the main shaft of the motor and is matched with the inductive probe in the shell of the motor to induce the number of rotation turns of the main shaft of the motor, and the motor is enabled to reversely rotate corresponding turns for resetting through the motor control circuit board, so that the effectiveness and stability of resetting are ensured, and the brake effectiveness and smoothness are improved.

This application provides a method for adding watermarks to an image. Belonging to the field of information security, this method involves dividing an image into blocks to obtain a target number of non-overlapping blocks. The texture complexity is determined based on the number of pixels at the block boundaries and the size of the blocks. The watermark embedding amount is determined based on the texture complexity of each block, the average watermark embedding capacity, and the initial texture complexity. The average watermark embedding capacity is determined based on the total watermark information capacity and the target number. Singular value decomposition is performed on each block to obtain the maximum singular value. The singular value after watermark embedding is determined based on the maximum singular value of each block and the watermark information corresponding to the watermark embedding amount. Inverse singular value decomposition is performed on the singular values ​​after watermark embedding in each block, and each block after watermark embedding is reconstructed to obtain a watermarked image. This method can improve the amount of watermark information and the quality of the watermarked image.

The application relates to the technical field of surface defect intelligent detection, and discloses a surface defect detection method and device based on multi-view synthetic imaging. The method comprises the following steps: acquiring a multi-view synthetic image without dead angles of a detected target after quality evaluation; performing highlight suppression and shadow enhancement on the multi-view synthetic image to obtain an enhanced multi-view synthetic image; separating the enhanced multi-view synthetic image into corresponding multiple single-view images, respectively performing defect detection on each single-view image to obtain corresponding single-view defect detection results, and generating a final overall detection result based on the single-view defect detection results. Through multi-view synthetic imaging, image quality control, high-reflective surface enhancement processing and multi-view joint defect detection, the application can effectively solve the problems of light interference and defect missing detection in high-reflective surface detection, and can realize high-precision surface defect detection with no dead angle coverage in a single detection.

The present disclosure provides a data processing method based on a distributed system, a data processing device based on a distributed system, an electronic device and a computer readable storage medium, belonging to the field of computer technology. The method comprises: obtaining the number of nodes of the data processing node, obtaining the number of distributed models included in the first model for processing data; the first model is processed in parallel through the distributed system; the distributed model is a part of the first model; determine the target step according to the number of nodes and the number of models; the subtasks of different time steps in the data processing task are allocated to the corresponding data processing nodes; the processing results of the subtasks are interacted according to the target step, so that the data processing node executes the subtasks of the subsequent time steps according to the processing results. The present disclosure can effectively and reasonably process data in a distributed system.

The application discloses a wireless weak signal optimization method based on multi-task learning, first, a wireless weak signal optimization model based on multi-task learning is constructed, second, a data set for model training is established, and finally, the model is trained and used for actual test.The wireless weak signal optimization method based on multi-task learning disclosed by the application effectively supports the reliability of the wireless communication system in a complex electromagnetic environment and expands the application scenario of the wireless communication.

A kind of double half-ring type anti-settling buried protection device, including buried cylinder, buried upper cover and two clamps;The buried cylinder is the cylinder that is permeable up and down, the upper end of the buried cylinder is integrally formed with the detection cylinder section for built-in installation and protection gas detector;The buried upper cover can be detachably installed at the upper end of the detection cylinder section, for closing the upper port of the detection cylinder section, so as to protect gas detector when burying;Two clamps are detachably connected together and tightly embrace on the outer circumference of the detection cylinder section;The outer circumference of the clamp is integrally formed with anti-settling half-ring, and two anti-settling half-rings are synthesized into whole circular anti-settling ring.The buried cylinder of the utility model can effectively increase the contact reliability with the earth by two anti-settling half-rings, so that the buried cylinder can be stably fixed in the earth, the pressure capacity of buried protection device is enhanced, and settlement is avoided, and the design of two clamps can effectively reduce the installation difficulty of the whole device.

The invention discloses a battery screening method, electronic equipment and a storage medium. The battery screening method comprises the following steps: acquiring a plurality of test voltages of a plurality of to-be-tested batteries in a formation process; for any to-be-tested battery, determining a voltage deviation between each test voltage of the to-be-tested battery and a plurality of test voltages of other to-be-tested batteries based on the plurality of test voltages of the to-be-tested battery and the plurality of test voltages of the other to-be-tested batteries; and based on the voltage deviation corresponding to each test voltage of the plurality of to-be-tested batteries, screening a target battery from the plurality of to-be-tested batteries. The accuracy of battery screening can be improved.

The application discloses a kind of adaptive compensation method and related device for three-phase current imbalance and harmonic, belong to power system technical field;The method is based on the instantaneous reactive power theory and the quick separation and instruction generation of fundamental wave positive sequence component and unbalance compensation component of sliding discrete fourier transform;Multi-objective model predictive current control with embedded repeated learning correction mechanism to achieve high-precision tracking of compensation current instruction and system circulation suppression;Multi-objective weight factor online dynamic adjustment mechanism based on fuzzy reasoning, according to the adaptive balance between the control emphasis of tracking accuracy, circulation suppression and switching loss according to the real-time operating state of the system;And, adaptive closed-loop management architecture based on the above module cooperation, drive active power electronic converter to generate compensation current, realize the comprehensive management of three-phase imbalance and harmonic and global optimization of system performance.

The invention provides a method and system for accurately controlling the temperature of an adhesive production reaction kettle, and relates to the technical field of adhesive production, and the method comprises the steps: applying a transient heating pulse to the reaction kettle in adhesive production, collecting the surface temperature data of a container wall, processing the data, calculating a temperature decline curve, and extracting key information of heat transfer characteristics. A heat abnormal area caused by uneven mixing is identified based on spatial distribution of key information, and the thermal state change of the adhesive reaction degree is estimated in combination with a time change mode. And adjusting a heating pulse mode and a working state of the stirring device according to the abnormal area and the change mode, and introducing a pause detection stage to collect surface temperature feedback under weak heating pulses so as to confirm an adjustment effect. And finally, associating the key information with the reaction degree based on feedback to generate a temperature adjusting command, and adjusting the heating or cooling intensity, so that accurate control on the temperature of the reaction kettle can be realized, and the production quality and efficiency are improved.

The invention discloses a double-transistor flyback circuit control method, circuit and chip, and the method comprises the steps: a drive controller detects whether a drive power supply of a first switching tube needs to be forcibly charged, if yes, a second pin is controlled to output a high level, and if not, a second pin is controlled to output a high level; the second pin is controlled to charge a driving power supply of the first switch tube through a power supply connected with the third pin, after charging is completed, the second pin is controlled to output a low level, otherwise, the second pin and the first pin are controlled to output a high level at the same time, so that the second switch tube and the first switch tube are turned on at the same time; when a signal for turning off the switching tube is detected, the first pin is controlled to output a low level to turn off the first switching tube, and the second pin is controlled to output a low level to turn off the second switching tube after waiting for a first preset time.

The invention provides a fan blade crack detection method, which comprises the following steps of: for a fan blade image acquired by an unmanned aerial vehicle, performing deblurring processing on the image through a pre-processing algorithm designed by the invention, and overcoming the problem of motion blurring when the unmanned aerial vehicle acquires the fan blade image; and carrying out crack detection on the acquired image by adopting a crack detection neural network model improved based on YOLOv8. According to the crack detection model, self texture interference of the blade can be avoided, the crack detection precision is improved, crack characteristics of different scales are captured through a Stem module of a multi-branch structure, a CAM module is added into a C2f-1 module, crack attention is integrated, and crack related characteristics are enhanced; a residual connection mode of a residual block is designed in a C2f-2 module to avoid the problem of deep network gradient disappearance, gradient flow and effective transmission of crack characteristics are guaranteed, response of crack-related channels is enhanced through channel re-calibration, and irrelevant channels such as blade textures are inhibited.