46results about How to "Realize generation" patented technology

This invention relates to the field of industrial wastewater treatment technology, and discloses an electrocatalytic oxidation device and its operating method for treating saline industrial organic wastewater. Wastewater enters the reaction chamber through the bottom inlet, is forced through the anode channels, and undergoes an electrochemical oxidation reaction on the anode surface to convert chloride ions into hypochlorous acid. A vacuum ultraviolet light source performs in-situ photolysis of water molecules and hypochlorous acid, exciting various active species, including strongly reducing hydrated electrons, strongly oxidizing hydroxyl radicals, and chloride radicals. This device, through the construction of a reduction-oxidation system, can efficiently degrade various pollutants with both electron-rich and electron-deficient characteristics. This invention utilizes the synergistic coupling of electrochemical generation and photochemical conversion to convert high-concentration chloride ions into active precursors, effectively overcoming the bottlenecks of low degradation efficiency and poor selectivity in traditional technologies for high-salt and complex water quality, and significantly improving the system's mineralization efficiency and energy utilization rate.

This disclosure provides a generator defect detection method, apparatus, device, and storage medium based on structural coordinate links. The method includes: constructing a generator stator cylindrical coordinate system and obtaining structural coordinates based on a three-dimensional vector including slot number, axial depth, and tangential offset within the slot; detecting image data using an artificial intelligence model to obtain the defect center pixel coordinates, and performing coordinate transformation and real-time mapping based on the camera coordinate system and the world coordinate system to obtain the structural coordinate primary key; performing closed-loop control of a robot based on coarse positioning and visual servo fine positioning to execute in-situ defect reproduction operations; indexing based on the structural coordinate primary key and automatically associating historical detection data and multimodal sensor data to obtain a full lifecycle defect evolution map; and analyzing growth rate data obtained from newly added detection data to obtain a defect evolution report, thereby achieving traceable, reproducible, and actionable defect map generation and health closed-loop management.

The invention discloses a network flow generating and repairing method based on protocol constraint. The method comprises the following steps: analyzing an original traffic capture file, extracting basic features through stream-level recombination and session segmentation, and mapping a continuous time sequence and a discrete protocol field to a uniform feature space; and on the basis, constructing a diffusion type network flow generation model to capture a statistical attribute and time sequence dependency relationship of the network flow. In the generating or repairing process, a protocol state machine is constructed, protocol constraint is introduced in the reverse denoising stage, the sampling process is constrained through a legality guiding mechanism, and protocol logic violation in the generating process is avoided. And finally, through feature inverse mapping and virtual protocol stack state maintenance, reconstructing to obtain network flow data which meets a communication protocol specification and can be correctly analyzed by a real protocol stack. According to the method, the generation and repair of the network traffic can be realized under a unified framework, and the correctness of a result in protocol semantics is ensured.

The application provides a kind of based on eye diagram radio frequency fingerprint identification method and system, it is related to wireless communication technical field.The method comprises: the demodulation processing of transmitter signal to be identified, the separation of carrier is realized, the Gaussian baseband waveform of transmitter signal is obtained;Calculate eye diagram UI, with eye diagram UI as period to the Gaussian baseband waveform is intercepted section, all eye diagram trajectory frames intercepted are superimposed to obtain eye diagram;Calculate the probability density of eye diagram;The BT value of GMSK signal is obtained by backstepping using the probability density of eye diagram;The difference between the measured signal eye diagram and modeling eye diagram under the condition of same BT value is obtained, the subtle difference between them is obtained, the statistical characteristics of eye diagram difference are further extracted, and the radio frequency fingerprint feature vector is constructed by combining BT value characteristics;Radio frequency fingerprint feature vector is input to support vector machine to do the identity authentication of equipment.The authentication method of the application can utilize the hardware subtle difference between different wireless devices of modulation mode GMSK to accurately identify the identity of the same.

The application provides a middle section via layout generation and reference construction method for multiple patterning technology, and relates to the technical fields of integrated circuit manufacturing, electronic design automation and computational lithography aided design. The method realizes the generation of a random cell layout which is regular and legal and statistically real by constructing a constrained search space from a legal domain, combining an anchor point and a sequential growth mechanism of dependent vias; ensures that the generated layout is directly applicable to multiple patterning evaluation by uniformly designing the layout generation and quadruple mask decomposition verification process; and realizes the controllable construction of a large-scale reference layout by introducing an independent connected component (ICC) topological complexity index and an ICC-aware tile stitching technology, which can comprehensively support the systematic evaluation of multiple patterning algorithms.

This invention discloses a blockchain-based hierarchical sharing method for medical data. This method encrypts files with monotonic access structures according to different levels of sensitivity. The secret value is passed upwards through a secret value sharing mechanism, transferring the secret value of the low-sensitivity ciphertext to the high-sensitivity ciphertext. During the data decryption stage, a rapid comparison is performed to find the file with the highest sensitivity that the user can satisfy, and a pre-decryption is performed. This makes it easier to decrypt sensitive files in the file set, improving access control and effectively reducing the number of decryption steps in the medical data sharing process. This truly achieves multi-level attribute data sharing while ensuring privacy and security.

The application discloses a general-purpose computer hologram generation method and system based on structured propagation, equipment, medium and product, and relates to the field of computer holography. The method comprises the following steps: decoupling a zero-frequency reference diagonal spectrum method transfer function to construct a structured propagation model; obtaining a target scene graph and a laser wavelength; based on the target scene graph and the laser wavelength, a structured propagation model is used to obtain a structure normalized input field; the structure normalized input field is input into a hologram generation model to obtain a pure phase hologram; and the hologram generation model is obtained by training a U-net network through a sample input field and a sample pure phase hologram. The application can improve the accuracy of hologram generation.

The application discloses a kind of based on temperature control curve's forging heat treatment process optimization method, it is related to data processing technical field, including, based on process task data packet, temperature control performance prediction model is constructed and reverse solution is executed, generates core temperature control reference curve;To core temperature control reference curve executes heat response mapping, obtains furnace temperature control trajectory, and obtains online core tracking control scheme by heat treatment risk timing evaluation;Online core tracking control scheme is executed, process data is recorded synchronously, and combined furnace temperature control trajectory is passed through heat history inversion operation, obtains execution temperature control curve;Based on execution temperature control curve, temperature control performance prediction model is optimized, and obtains process quality evaluation result by performance deviation evaluation.The application is by constructing temperature control performance prediction model and executing reverse solution and feedback optimization, improves the calculation consistency of process parameter design and the quantifiable and iterative optimization ability of result evaluation.

The application discloses a kind of construction site personnel identity recognition management method and system, it includes: the facial expression information of each construction site personnel is collected, and facial expression generation model is constructed based on facial expression information, and facial generation expression is generated according to it;The facial generation expression of construction site personnel is bound with identity information two-dimensional code and is associated with storage;The identity information two-dimensional code of construction site personnel and real-time facial expression are acquired, and the corresponding facial generation expression is acquired based on identity information two-dimensional code;Real-time facial expression and facial generation expression are analyzed, facial expression difference characteristics are determined, and the identity similarity of construction site personnel is evaluated based on it;Based on the evaluation result, whether the identity recognition verification of construction site personnel passes is judged.The facial expression of construction site personnel is generated by modeling in the application, which is compared and evaluated with the captured facial expression to realize the accurate identification and management of the identity of construction site personnel, and the accuracy and efficiency of identity recognition are improved.

This invention provides a broadband orthogonal generation network based on a highly integrated self-coupled full-pass filter, relating to the field of radio frequency integrated circuit technology. The broadband orthogonal generation network based on the highly integrated self-coupled full-pass filter includes a self-coupled full-pass filter and a resistor-capacitor network. The self-coupled full-pass filter employs a technique of stacking and coupling a core inductor coil, a compensation inductor coil, and a matching inductor coil to form a three-coupling transformer. It is then cascaded with the resistor-capacitor network via interstage interconnecting metal lines serving as the matching network, achieving high-quality broadband orthogonal signal generation. The broadband orthogonal generation network based on the highly integrated self-coupled full-pass filter provided by this invention effectively reduces chip area, achieves wide-bandwidth, low-amplitude error, and low-phase error orthogonal signal generation, exhibits high integration, low cost, and promising application prospects.

The invention provides an anti-copy two-dimensional code generation method and system, an anti-copy two-dimensional code detection method and system, a storage medium and electronic equipment. The method comprises the following steps: acquiring one or more anti-counterfeiting feature textures; generating a two-dimensional code; and the anti-counterfeiting feature texture and the two-dimensional code are fused to generate an anti-copy two-dimensional code, and the anti-copy two-dimensional code comprises coding information corresponding to the anti-counterfeiting feature texture and a fusion mode of the anti-counterfeiting texture features. According to the anti-copy two-dimensional code generation method and system, the anti-copy two-dimensional code detection method and system, the storage medium and the electronic equipment, generation and detection of the anti-copy two-dimensional code are achieved based on the anti-fake feature texture, and the anti-fake performance and the recognition accuracy of the two-dimensional code are effectively improved.

The application provides a signal timing and networked automatic driving vehicle speed hierarchical collaborative control method based on reinforcement learning, and relates to the technical field of intelligent traffic control and vehicle-road collaborative control, and comprises the following steps: obtaining the stop-and-drive vehicle state information on the import lane served by each phase at each signal cycle boundary, and generating a reference timing scheme of the next cycle by a cycle timing intelligent agent based on the stop-and-drive vehicle state information; obtaining a refined discharge window; and outputting a continuous longitudinal acceleration control instruction to a target networked automatic driving vehicle by a networked automatic driving vehicle speed intelligent agent according to the refined discharge window, so that the arrival time of the target networked automatic driving vehicle matches the discharge window, and the collaborative control of traffic signal timing and vehicle speed is realized.

This invention provides a method and apparatus for mining quality inspection rules through multi-dimensional modeling of indicators. The method includes: extracting multi-dimensional data from a pair of indicators to be judged, wherein the multi-dimensional data is related to time, data lineage, and data meaning; determining the similarity of the pair of indicators to be judged in each dimension based on the multi-dimensional data; calling a pre-built target model to process the multi-dimensional data and the similarity to obtain a judgment result characterizing whether the pair of indicators to be judged is a valid association pair; and generating quality inspection rules based on the indicator pairs whose judgment result is a valid association pair. The method described in this embodiment can quickly and accurately generate effective quality inspection rules.

The invention provides a water surface floating object classified cleaning robot for a water storage reservoir of a hydropower station and a working subarea setting method. The robot comprises a large garbage collector, a small garbage collector and a movable connecting structure, a water pump is arranged in the large garbage collector to provide suction force, and both the large garbage collector and the small garbage collector are provided with filter screens. After the robot enters water, openings of the large collector and the small collector are located under the water surface, water and garbage enter the corresponding collectors respectively under the suction action of the water pump, the garbage is intercepted through the filter screens, and the water is discharged. The small garbage collector is provided with a garbage recognition camera, and a driving propeller is arranged on the outer side of the large garbage collector. Large and small garbage can be collected in a classified mode, the collecting angle is adjusted through the multiple sleeves, and the feeding effect is improved; on the basis of grid discrete calculation, a weighted Voronoi distribution mechanism is adopted, a plurality of optimal working sub-areas are generated, and multi-robot efficient operation is achieved.

The application belongs to the technical field of face changing and digital human generation, and particularly relates to an eye image generation system and method, which comprises: an image preprocessing module, an eye feature point detection module, an eye region extraction module, an eye region transformation module, an eyeball detection module, an eyeball generation module, an eye fusion module and an eye region generation module. The application provides an eye image generation system and method, which finely divides an eye region according to eye physiological characteristics, generates different sub-regions of the eye region, improves the authenticity and naturalness of the eye region generation, and makes the eye region generation applicable to application fields such as face changing and digital human generation. The application can generate eyeball images of real human eyes in any line-of-sight direction, and can generate eyeball regions without a large amount of data and calculation. The application processes different regions of the eye region in a region-by-region manner, and particularly processes important eyeball features of the eye region, so that the overall effect of the eye region is real.

The application relates to the technical field of multi-agent collaborative control, and discloses a data inversion enhanced multi-machine group wisdom collaborative operation method based on a vertical domain large model. The method comprises the following steps: an agent collects real-time multi-modal perception data of a target operation environment and sends the data to a control server; the control server identifies a hidden interference source by using a pre-trained vertical domain large model in combination with a data inversion mechanism and constructs a global environment state mapping; semantic analysis and sub-task decomposition are performed on multi-machine collaborative operation requirements, a conflict-free task sequence is generated in combination with a space-time dependence relationship, and a grid execution track is planned for each agent; a segmented instruction sequence with a preset time window is generated in combination with communication delay and sensor refresh frequency; inversion verification, environment mapping update and instruction dynamic adjustment are performed according to state feedback data in a task execution process, a collaborative operation execution process is generated in real time through iteration, and the operation requirement execution is completed. The application realizes adaptive closed-loop control of a multi-machine collaborative operation process in a complex environment.

The application discloses a virtual geographic address generation method and device, electronic equipment and a storage medium, comprising: acquiring a plurality of real geographic addresses, each real geographic address comprising latitude and longitude coordinates and address text; the address text comprises N geographic levels; based on the latitude and longitude coordinates and the address text, determining the weighted distance value of any two real geographic addresses in the plurality of real geographic addresses; for a target real geographic address, from the plurality of real geographic addresses, obtaining a to-be-replaced real geographic address whose weighted distance value meets a preset requirement; using the i-th geographic level text of the to-be-replaced real geographic address to replace the i-th geographic level text of the target real geographic address to obtain a target virtual geographic address corresponding to the target real geographic address. The calculation of the weighted distance value involves the latitude and longitude coordinates and the address text, so that the target virtual geographic address is not easily close to the real geographic address, and the occurrence of data security risks is avoided as much as possible.

The utility model discloses a nanometer fog scalp cleaning instrument, and particularly relates to the technical field of hair washing machines, the nanometer fog scalp cleaning instrument comprises a main body, a function box is arranged in the main body, the function box is fixed on the top surface of a bottom plate of the main body through bolts, a fixed base is fixedly connected on the inner bottom surface of the function box, and an air pump is fixedly connected on the fixed base through bolts. A water pump and a nanometer water generator are arranged at the top of the functional box, a water suction pipe is fixedly connected to the left end of the water pump, a water conveying pipe is fixedly connected to the right end of the nanometer water generator, and a nanometer spraying shower head is fixedly connected to the tail end of the water conveying pipe. According to the self-suction type hair washing machine, the air pump, the water pump and the nanometer water generator are arranged, nanometer water is generated and sprayed out of the nanometer spraying shower head through the water conveying pipe, then the head is subjected to nanometer cleaning, the water suction pipe and the fixing frame are arranged, connection between the device and a water source and taking and placing of the shower head are convenient, and the use experience is improved.

The application discloses a kind of defect sample generation method, device, automatic optical detector and storage medium.The defect sample generation method includes: the normal sample output after being detected with AOI detection equipment as research object, and using component positioning method to extract solder joint image, by analyzing the characteristics of defect sample solder joint area, the qualitative characteristics of defect are converted into the quantitative characteristics convenient for modeling analysis, and the complete scheme of defect sample generation is provided using graphic modeling and image processing technology.The generation of a variety of defect samples is realized, and it is convenient to batch generate defect samples, and has strong innovation and application value.

The application provides a SAR image generation method, system and device, and relates to the technical field of SAR image generation. The method comprises the following steps: obtaining target data and first SAR imaging parameters corresponding to the target data; extracting a first geometric-electromagnetic feature map based on the first SAR image data; training a conditional diffusion generation model; constructing a second geometric-electromagnetic feature map based on three-dimensional model data and specified second SAR imaging parameters; inputting the second geometric-electromagnetic feature map into the trained conditional diffusion generation model to generate second SAR image data under the second SAR imaging parameters. The scheme can realize SAR image generation under the condition of a lack of real SAR samples, taking into account target structure consistency, reasonable scattering and texture authenticity, and facing specified imaging parameters and unobserved viewing angles.

This application relates to an optical module, an optical access network system, and a method. The optical module includes: an optical receiving component for converting received optical signals into analog electrical signals; a clock and data recovery unit connected to the optical receiving component for extracting clock information and acquiring information bits; and a soft decision information generation and output unit, including a soft decision information generation unit connected to the optical receiving component and the clock and data recovery unit, which processes the original analog electrical signals to generate and output soft decision information. This application achieves the generation and output of soft decision information through the soft decision information generation unit within the optical module, supporting higher speeds, longer distances, or higher splitting ratios. It supports the application of high-performance SD-FEC at the system level in the access network system and eliminates the need for DSP to generate and process soft decision information.

This invention relates to a method for preparing silicon microparticles, an apparatus for preparing silicon microparticles, and silicon microparticles prepared therefrom. More specifically, it relates to a method, an apparatus, and silicon microparticles prepared therefrom that can prepare silicon particles with controlled grain size, spherical shape, and a size of several micrometers (μm).

The invention discloses a continuous variable quantum state generation, recovery and training method and model, and the method comprises the steps: converting an input quantum state into a thermal state through a forward diffusion process of thermal loss channel modeling; generating the thermal state into a target quantum state through a trainable reverse denoising process; constructing a coherent state data set; obtaining a diffusion quantum state according to a sample quantum state in the coherent state data set; based on the diffusion quantum state, recovering the sample quantum state to obtain an output coherent state; and training the continuous variable quantum state recovery model according to the sample quantum state and the output coherent state. According to the method, the common environmental noise effect in continuous variable quantum communication is effectively simulated, so that the generation method is more flexible, the fidelity of generation and recovery results, the response speed to unpredictable noise and the robustness of quantum state recovery are improved, and the blank left by a model taking generation as a center is filled.

Embodiments of the present disclosure disclose a real-time mixed reality head-mounted display de-occlusion method, device and equipment. A specific implementation of the method comprises: generating implicit encoding information through an encoder of a model; performing the following steps through a decoder of the model: determining lower half face deformation information according to third preset feature constraint information, implicit encoding information and lower half face geometry information; generating spatial feature point information set according to mapping correlation weight information, first preset feature constraint information and spatial feature point information set; generating upper half face deformation information according to implicit encoding information, target weight, upper half face key geometry information and upper half face geometry information; changing preset three-dimensional face geometry information to obtain changed three-dimensional face geometry information; and rendering the changed three-dimensional face geometry information to obtain de-occluded face image information. The implementation improves the accuracy and stability of de-occlusion.

The application provides a visual positioning guide system for a truck hoisting boom, a control method and a vehicle, and relates to the technical field of logistics transportation. The visual positioning guide system for the truck hoisting boom is used for positioning and guiding a multilayer stacked truck-mounted container, and comprises a first position calibration device, a second position calibration device, an image acquisition module, a processing unit and a hoisting boom. The first position calibration device comprises a first shell, a first position signal emitter and a reference block. The second position calibration device comprises a second shell, a through hole, a first pressure sensor, a second pressure sensor and a second position signal emitter. The processing unit establishes a coordinate system according to the image collected by the image acquisition module, and marks the first position calibration device and the second position calibration device in the coordinate system according to the position signals of the first position signal emitter and the second position signal emitter. The hoisting boom is used for moving the truck-mounted container to a preset position.

The invention discloses an automatic control method for continuous winding of a CICC type high-temperature superconducting coil for a star simulator, relates to the field of intelligent manufacturing, and solves the technical problems of low forming precision and poor environmental adaptability in the continuous winding forming process of irregular-shaped coils. According to the method, target data, cable materials and coil finished product shapes are identified; a parameter identification model is established, and control parameters during coil firing forming are obtained based on the parameter identification model; establishing a digital twinborn model of the firing furnace, and performing environment calibration on the control parameters based on the digital twinborn model to obtain standard control parameters; controlling the firing machine to operate based on the standard control parameters; according to the invention, the performance of the finished coil and the reliability of equipment operation can be improved, so that low efficiency, unstable precision and individual difference influence caused by traditional manual parameter setting depending on experience are avoided.

This application relates to the field of cross-modal generation technology, and provides a method, apparatus, terminal device, and readable storage medium for generating facial key points. The method includes: acquiring a target audio signal, inputting the target audio signal into a trained neural network model for processing, and outputting a target weight vector; acquiring a target average shape vector and a target feature vector; and calculating the target three-dimensional facial key points corresponding to the target audio signal based on the target average shape vector, target feature vector, and target weight vector. This application can, to some extent, solve the problem of not being able to directly generate three-dimensional facial key points from speech signals.

The invention discloses a generation system and a generation method supporting supersampling noise and interference signals, and belongs to the technical field of digital signal transmission. The generation system comprises a parameter configuration module, a parallel noise generation module, a parallel interference signal generation module and a selection output module. The generation system is based on a parallel processing architecture of an FPGA, noise power, interference signals and output parameters are dynamically set through a parameter configuration module, and unused resources are cut off to optimize power consumption; the parallel noise generation module generates M paths of AWGN vector signals in real time; the parallel interference signal generation module supports real-time generation of various signals such as modulation, sweep-frequency comb-shaped signals and composite interference signals; and finally, the selection output module selects and outputs as required. According to the invention, the limitation of the FPGA main frequency on the sampling rate is broken through, large-bandwidth, high-resolution and continuous-phase signal generation is realized, and the problems that the flexibility of the traditional pre-storage scheme is insufficient, and the period and the signal bandwidth depend on the storage capacity are effectively solved.

This invention discloses a method and system for identifying and classifying logistics supply chains based on road network traffic flow direction, belonging to the field of transportation and logistics technology. The method includes: S1, acquiring freight flow OD data between road network nodes and constructing a freight flow OD matrix; S2, performing supply chain positioning pre-calibration on nodes according to the freight flow OD matrix, classifying them into starting layer, upstream channel layer, downstream channel layer, or ending layer nodes; S3, performing distance correction on the interaction volume between nodes based on spatial distance to obtain a corrected association strength matrix; S4, based on the corrected association strength matrix, performing parallel clustering from the starting layer nodes, layer by layer towards the upstream channel layer, downstream channel layer, and ending layer nodes according to the freight flow direction, generating an initial supply chain classification result; S5, performing global optimization and adjustment on the initial classification result and outputting the final identification result. This invention integrates the advantages of clustering and graph theory methods, achieving accurate identification and classification of logistics supply chains based on road network freight flow direction.

The invention discloses a dynamic torque standard device based on an electromagnetic force principle and a measuring method thereof, which are used for generating and calibrating dynamic and static torque values based on electromagnetic force. According to the device, a stable magnetic field environment is constructed, an adjustable electromagnetic torque is generated under the condition of a fixed shafting structure by utilizing an electromagnetic effect between an electrified coil and a magnetic field, and a quantitative relation between the torque and an electrical quantity is established by synchronously measuring electrical and motion parameters such as voltage and rotation angular velocity; therefore, the generation and measurement of the dynamic torque value are realized by controlling the programmable current.