164results about How to "Avoid complexity" patented technology

The invention discloses an interpretable fracturing parameter optimization method and device based on data driving, and the method comprises the steps: carrying out the clustering processing of effective geological parameters of a target well along the well depth through a target geological dessert clustering model, and outputting the dessert probability distribution data of the target well; based on the dessert probability distribution data, performing geological grouping on historical fracturing sections of the historical wells, performing clustering processing on effective fracturing parameters of the historical fracturing sections by using a target fracturing parameter clustering model in each geological group, and outputting an engineering dessert template of each geological group; dividing fracturing sections for the target well by using the dessert probability distribution data, and matching initial fracturing parameters from historical fracturing sections based on a high-quality dessert proportion in each fracturing section; and querying the engineering dessert template of the geological group to which the historical fracturing section belongs, and optimizing the initial fracturing parameter to obtain a target fracturing parameter of the target well. The invention can provide a scientific, transparent and practical fracturing parameter optimization solution.

The invention relates to a hardware routing table look-up method based on segmented unified storage. The method comprises the following steps: firstly, acquiring an IPv4 / IPv6 routing prefix, dividing the IPv4 / IPv6 routing prefix into 1-4 address fields according to 32 bits, allocating a unique forward and backward segment identifier for each field, constructing table entries containing the segment identifiers, 32-bit segment data and a next hop, and uniformly storing the table entries into the same TCAM. During table lookup, segmenting an address to be looked up according to the same rule, querying the TCAM from a first segment by taking segment data as a key, and recording a backward segment identifier and a next hop after hit; and if the backward segment identifier is invalid, directly returning to the corresponding next hop, and if the backward segment identifier is valid, continuing query by taking the identifier and the next segment of data as a joint key. And when the table item is not hit or the identification verification fails, selecting the table item with the longest prefix and the valid next hop in the matched section, and returning to the next hop. According to the invention, IPv4 / IPv6 routing table entries can be uniformly stored, the TCAM space utilization rate is improved, and meanwhile, the hardware table look-up efficiency is guaranteed.

The application discloses a thermodynamic dual-mode composite sensitive material, a preparation method and application thereof. The composite sensitive material comprises a matrix, has a three-dimensional porous structure, and comprises a polymer material and a sheet-shaped non-metallic conductive material; and metal oxide nanoparticles are distributed on the surface of the sheet-shaped non-metallic conductive material; wherein the sheet-shaped non-metallic conductive material and the metal oxide nanoparticles are both materials with negative thermoelectric coefficients. The thermodynamic dual-mode composite sensitive material provided by the application integrates pressure sensing and thermoelectric performance, which avoids the problems of complex layout and complex signal transmission of a traditional dual-mode sensor; meanwhile, the pressure sensing and the thermoelectric sensing are not interfered with each other, so that the prepared sensor has the advantages of signal non-interference decoupling, avoidance of wear failure, strong adaptability, non-destructiveness, high safety and the like, can adapt to a higher temperature, and has stable temperature signal output.

The invention provides an F-P spectral imaging system and method, and belongs to the technical field of spectral component measurement, and the system comprises a front lens which is used for collecting light energy and converting the light energy into emergent light meeting the limitation of the clear aperture of an F-P interferometer; the annular band optical filter comprises a central area and a plurality of concentric annular areas surrounding the central area, the bandwidth of each area is the same as the free spectral range of the F-P interferometer, and the annular band optical filter is used for eliminating level aliasing in emergent light of the front lens; the F-P interferometer is used for carrying out wavelength selection on emergent light of the annular band optical filter and outputting an interference field; the imaging mirror is used for projecting the interference field to the detector; and the detector is used for converting the projected optical signal into a digital electric signal. The F-P spectral imaging system which can maintain high spectral resolution and also can realize wide spectrum coverage is constructed by introducing the annular band optical filter which is accurately matched with the FSR of the F-P interferometer.

This invention discloses a hierarchical cryptographic service platform and method integrating QKD technology. The hierarchical cryptographic service platform includes a cryptographic service platform and at least one level of sub-cryptographic service platforms. At least one level of QKD network is built around the cryptographic service platform. Each level of the QKD network accesses an application system and / or connects to the corresponding level of the sub-cryptographic service platform. In this invention, the QKD network is built around the cryptographic service platform, which means that the QKD network can be built specifically according to application needs, giving full play to the ability of the cryptographic service platform to provide services for business applications. It is also easy to adapt and tailor according to business needs, and can be expanded on demand.

The application discloses an implementation method and device of large language model reasoning in a heterogeneous system, equipment and a medium, wherein the heterogeneous system comprises a CPU, a GPU and an FPGA, the method comprises the following steps: performing attention calculation and key-value caching of the large language model through the GPU, performing routing calculation at an MoE layer, and performing shared expert multi-layer perception calculation to obtain a first execution result; constructing a routing expert execution request based on routing selection results and hidden states through the CPU, and submitting the routing expert execution request to the FPGA; performing multi-layer perception calculation of the activated routing experts according to the routing expert execution request through the FPGA to obtain a second execution result; and finally, fusing the second execution result with a shared expert output result through the GPU, and continuing to perform subsequent operations. The application can realize large language model reasoning through the cooperation of the CPU, the GPU and the FPGA, and effectively improves the resource utilization.

This invention relates to the field of chip inspection technology, and more particularly to a chip non-destructive testing system based on embedded current scanning. The system includes a current scanning module, an information acquisition module, a data analysis module, an abnormal scanning region generation module, and a scanning path generation module. Instead of simply performing a higher-density secondary scan of the entire chip, this invention intelligently filters out abnormal scanning regions requiring special attention based on the initial scan results and calculates their scanning priority. This allows valuable inspection time and computing resources to be concentrated on the most suspicious and severe areas, avoiding unnecessary repeated scanning in normal areas. The system dynamically selects the optimal scanning path based on the regularity of the region shape; for example, parallel lines are used for regular regions, and radial lines are used for irregular regions. This makes the scanning path more closely match the geometric features of the defect, obtaining a more complete region characterization with fewer scanning points, resulting in higher path planning efficiency.

This invention relates to the field of multimodal sentiment analysis technology, and in particular to a method and system for multimodal sentiment analysis based on sequential translation under uncertain and missing modalities. The method includes: acquiring multimodal sentiment data, including visual, textual, and auditory modalities; constructing a multimodal sentiment analysis model based on sequential translation, firstly by extracting self-attention encoding features of each modality using a Transformer encoder; and then designing a bidirectional sequential translation architecture centered on the textual modality. This invention improves the utilization of textual modal features in the feature fusion process, thereby enhancing the quality of multimodal fusion features and providing strong support for subsequent complex sentiment analysis.

The invention discloses a trichlorosilane deep rectification composite impurity removal process, and belongs to the technical field of polycrystalline silicon production raw material purification. According to the process, deep purification of crude trichlorosilane is achieved through the steps of pre-protection and primary adsorption, directional rectification enrichment of methyl dichlorosilane narrow fractions, concentration, mixing with silicon tetrachloride, catalytic reaction rectification conversion, differential pressure thermal coupling rectification purification, double-tank parallel deep purification, tail gas treatment and the like. According to the method, the impurity methyl dichlorosilane difficult to remove is precisely separated through side extraction, the impurity methyl dichlorosilane is converted into a component easy to separate through a catalytic reaction, and the boron and phosphorus impurities are deeply removed in combination with differential pressure thermal coupling energy saving and double-tank alternate adsorption. The process can efficiently remove moisture, metals and key impurities boron and phosphorus, obviously improves the purity of the trichlorosilane product, realizes gradient utilization of energy and hydrogen circulation, and has the advantages of high purity, low energy consumption and continuous production.

The utility model discloses an automatic feeding structure of a filling machine, which relates to the technical field of filling machines, and comprises a combined seat and a limiting component, an upper support seat is mounted at the top of the combined seat, a feeding component is erected at the top of one end, far away from the feeding component, of the combined seat, and the limiting component is mounted at the bottom of the combined seat. According to the automatic feeding structure of the filling machine, the limiting component is mounted at the bottom of the combined seat, the feeding component can be assisted to clamp and fix a filled container through the structural arrangement of the limiting component, so that the stability of feeding treatment is ensured, and the problem of leakage of filling feeding is avoided; according to the device, the flexibility of connection with feeding equipment can be ensured, the convenience of structural connection is ensured, in addition, all the structures are movably connected, the device structure is more modularized, maintenance treatment is facilitated, and therefore the use convenience and flexibility of the device structure are ensured.

The invention relates to the field of agricultural product processing equipment, in particular to a phase adjusting structure and an automatic adjusting tea frying machine based on the phase adjusting structure, the phase adjusting structure comprises a driving part and a transmission assembly, the transmission assembly comprises a transmission shaft, a connecting rod group and a swing rod, and the phase adjusting structure further comprises an eccentric wheel, the screw rod and screw sleeve adjusting mechanism is used for adjusting the distance between the fulcrum of the swing rod and the eccentric wheel, so that the initial angle and the swing amplitude of the frying plate are adjusted. The machine further comprises a rack, a controller and a frying plate; the synchronous belt transmission part is connected with the movable part; and the manual driving part and the automatic driving part are connected with the synchronous belt transmission part. The whole rigidity is effectively improved, vibration in the operation process is restrained, the repeated precision of the motion trail of the frying plate is guaranteed, the service life of the structure is prolonged, complexity and control redundancy of the mechanical structure are avoided, automatic adjustment is achieved, the machining efficiency is higher, and safety is higher.

The invention discloses a battery state and early fault diagnosis system based on multi-source data fusion and artificial intelligence. The battery state and early fault diagnosis system comprises a data acquisition module, a feature extraction module, an artificial intelligence processing module and an early warning and execution module. The data acquisition module is responsible for synchronously acquiring voltage, current and temperature data from a battery pack in real time to form a multi-source data set for describing the real-time running state of the battery; the feature extraction module receives an original data stream from the data acquisition module. According to the method, the limitation of a traditional method based on a simple model or threshold judgment is broken through, the strong nonlinear mapping capability of the artificial intelligence model is utilized, and the deep correlation with the internal health state and the early fault of the battery is accurately mined from the high-dimensional features; according to the method, the estimation precision of the health state of the battery is remarkably improved, early weak fault symptoms which cannot be perceived by a traditional method can be identified, the crossing from post-event alarm to pre-event early warning is realized, and the safety of the system is greatly improved.

This invention discloses a plant protection drone for precision seeding, belonging to the field of agricultural drone technology. It includes a central body and four arc-shaped arms that can move relative to the central body. Each arm is equipped with a power unit and rotors. Driven by a deformation drive mechanism, the arms can switch between a cruising state (forming a circular shape) and an operational state (arching inward to form a three-dimensional structure). In the cruising state, the rotor planes are coplanar, resulting in high aerodynamic efficiency; in the operational state, the rotor planes are raised and moved away from the seeding device, effectively isolating the downwash airflow from interfering with the seeded material, significantly improving seeding accuracy and uniformity. This invention solves the technical problem of seeding drift caused by rotor wind fields in existing plant protection drones.

This application discloses a method and system for identifying 2D engineering drawing elements based on dynamic query-guided consistent projection, proposing a dynamic query-guided consistent projection decoder. This decoder achieves a single forward propagation projection from a random noise vector to an accurate element state vector. The method first initializes a set of vectors following a predetermined noise distribution as initial dynamic queries. These queries are fed into the dynamic query-guided consistent projection decoder (DQ-CPD). At each layer of the decoder, the current dynamic query vector not only interacts with other queries through a self-attention mechanism, but it is also input as a controller into a "contextualized hypernetwork." This hypernetwork generates a set of dedicated weight parameters in real time based on the current inference information carried by the query vector. This method organically combines dynamic queries, dynamic context, and one-step generation theory to construct a novel, efficient, accurate, and adaptive element identification method.

The application relates to a kind of annular bracket stiff concrete beam column node construction device and construction method, including beam column construction mechanism and construction driving mechanism;Beam column construction mechanism includes multiple construction frames, multiple construction frames are arranged side by side between. First gear and second gear are driven to transmit by motor, so that second gear drives rotating rod and connecting column to rotate, connecting column drives another second gear to rotate by sleeve, so that two second gears and two gear ring assemblies are driven, two gear ring assemblies can drive steel beam column to rotate by locking assembly, the surface of steel beam column can be conveniently laid on steel beam column by workman in multiple faces, avoid subsequent still need to carry out steel beam column hoisting to adjust angle and continue construction, lead to the problem of tedious, so as to improve construction efficiency;Extension assembly is connected by slider and sliding sleeve and construction frame, so that construction frame can be unfolded by extension assembly, so as to extend the support length of steel beam column.

The application belongs to the technical field of sensors, and discloses a linear variable differential transformer with adjustable zero and a method for adjusting the same. A coil frame of the transformer is movably sleeved on an inner tube frame, and a cylindrical shell is arranged outside the coil frame. Left and right end covers are respectively arranged at two ends of the cylindrical shell. An assembly composed of an iron core and a connecting rod is arranged inside the inner tube frame. The right end cover is rotatable relative to the cylindrical shell, and rotation of the right end cover can drive the coil frame to move axially on the inner tube frame. Through design of a differential screw mechanism, displacement reduction effect generated by threads with different pitches and same rotation directions is utilized to achieve micron-level or even sub-micron-level zero adjustment precision, which is 500 to 1000 times higher than millimeter-level adjustment precision of the prior art. A pure mechanical adjustment mechanism is adopted, and no additional electronic components are needed, so that circuit complexity and potential failure points introduced by electronic zero adjustment methods are avoided, and system reliability is significantly improved.

The utility model discloses a frequency converter control system, and aims to solve the problems of complex structure and low working efficiency of a conventional frequency converter. The system comprises a frequency converter main circuit module, a switching power supply module, a PLC module, a display screen module and a temperature control module. The main circuit module is composed of a transformer and a frequency converter set, and the transformer is connected with external alternating current and the switching power supply module and supplies power to the system. The switching power supply module supplies power to the PLC module, the display screen module and the temperature control module, and stable operation of all the modules is ensured. The PLC module serves as a core control unit and is connected with the frequency converter set, the display screen module and the temperature control module, and accurate control over the motor and real-time monitoring of the system state are achieved. The display screen module is used for displaying operation parameters, and the temperature control module is responsible for monitoring and adjusting the equipment temperature.

The invention belongs to the technical field of water environment detection, and particularly relates to a portable detection device and method for the total discharge amount of water pollutants. The portable detection device at least comprises a three-electrode sensor module, a potentiostat module, an analog-to-digital conversion module, a microcontroller, a peripheral circuit of the microcontroller, a Bluetooth module and a power module, and the three-electrode sensor module comprises a working electrode coated with a tungsten oxide film, a reference electrode and a counter electrode; the constant potential rectifier comprises at least two electrode channels, is connected with the microcontroller and the analog-to-digital conversion module and is used for controlling voltage to detect hydrology and water quality parameters; and the Bluetooth module is used for being paired with intelligent equipment to transmit data. The portable water environment detection device and the hydrology and water quality synchronous detection method can be provided, the problem that scattered and small drain outlets cannot be detected is effectively solved, and the detection device is provided for real-time online evaluation of the total discharge amount of water pollutants.

This utility model discloses a dual-mode hydrological radar measurement device based on closed-loop attitude adjustment, belonging to the field of hydrological monitoring technology. It includes a sealed electronic cabin and an attitude adjustment mechanism. A pitch angle adjustment component is located between a bottom fixed base and a rotating base, used to drive the bottom fixed base to pitch and swing horizontally. An azimuth angle adjustment component is connected between the rotating base and the top fixed base, used to drive the rotating base to rotate horizontally vertically. Through a periodic task scheduling mechanism and pre-emptive closed-loop attitude adjustment, it can automatically and cyclically switch between water level measurement mode and flow velocity measurement mode under unattended conditions. Before each measurement, the radar beam is precisely adjusted to the optimal incident angle of the corresponding mode. Simultaneously, the "attitude adjustment first, measurement later" execution logic ensures that each data acquisition is performed under optimal physical conditions, fundamentally improving the measurement accuracy of water level and flow velocity parameters and realizing fully automated continuous hydrological monitoring.

The embodiment of the disclosure belongs to the technical field of signal processing, and particularly relates to a color synchronization and color difference correction method and device for FPV unmanned aerial vehicle digital decoding, which comprises the following steps: receiving an analog image transmission signal of an FPV unmanned aerial vehicle, digitally sampling the analog image transmission signal, and obtaining chrominance signals of a plurality of sampling points in each row; calculating a phase error of each row based on the chrominance signals of the plurality of sampling points in each row and a local oscillator signal of a receiving end device; performing phase compensation row by row based on the phase error of each row, and digitally decoding the chrominance signals after phase compensation; and performing color calibration compensation on the original CVBS signal according to the chrominance difference between the digitally decoded signal and an actual analog signal. The scheme simplifies the color synchronization process, avoids the complexity of a traditional phase-locked loop, and at the same time, through independent calculation of the phase error of each row, accurate chrominance compensation is performed, and the image quality is significantly improved.

The invention provides a data delivery method, device, medium and system, and the method comprises the steps: determining a target privacy calculation protocol according to a data type and a privacy level before data delivery, or determining the target privacy calculation protocol according to the data type; binding a data use constraint, a privacy calculation parameter and a participant digital identity by adopting an intelligent contract; and according to the target privacy calculation protocol and the bound smart contract, constructing a data delivery application program, and executing the data delivery application program to complete data delivery, the data delivery application program being an application program matched with the data product type. The problem that in the prior art, a unified application program development standard is not formed, so that data delivery tools are fragmented, and compatibility is poor is solved.

The invention relates to the technical field of trajectory analysis, and provides a target motion trajectory output method, system and device and a medium, and the output method comprises the steps: initializing a neural synaptic array; collecting an optical image of a target scene, and projecting the optical image to the initialized neural synaptic array to obtain an initial pixel state set corresponding to the target scene; processing the initial pixel state set to determine a target area and a background area; respectively irradiating the target area and the background area to obtain an updated pixel state set; generating a current attention map according to the updated pixel state set; and according to the current attention map, the target motion track is output, and output of the target motion track is realized through the full-light-controlled neural synaptic array, so that high real-time performance can be maintained, and meanwhile, system power consumption and processing delay can be remarkably reduced.

This invention relates to a prism-coupled thin film refractive index and electro-optic coefficient measuring instrument and method, belonging to the field of optical measurement technology. The instrument includes: an optical path system, which sequentially comprises a laser, a polarizer, a filter lens, a lens, and a pinhole aperture; a motion and sample stage system, including an θ / 2θ goniometer and an integrated sample clamp module mounted on it, the module having a cylinder-driven clamping device for optically fitting the thin film sample to a right-angle prism; and a detection and data acquisition system, including a photodetector for receiving reflected light, an A / D converter, and a computer. The measurement method involves scanning the angle using the θ / 2θ goniometer and acquiring the reflectivity curve R(θ). The curve is fitted and differentiated to accurately locate the inflection point angle of the guided mode, thereby retrieving the refractive index and thickness of the thin film. This invention achieves high-precision, integrated measurement of thin film optical parameters using a single reflection probe.

The invention provides computing power gateway equipment, which relates to the technical field of network computing power scheduling and comprises a data plane chip and a control plane chip, the data plane chip is used for acquiring a request message input by a user and analyzing the request message to obtain a target message feature corresponding to the request message; the request message is a non-extended message; and forwarding the request message based on the matched target scheduling decision entry under the condition that the target message feature is matched with the scheduling decision entry in the computing network scheduling decision table. According to the technical scheme, the request message is analyzed through the combination of the data plane chip and the control plane chip, and a proper service instance can be selected for a user to be forwarded. And specific requirements can be stored locally according to a scheduling decision entry matching mode, and the user request message is a non-extended message, so that the loss of communication resources is reduced, the communication efficiency is improved, and the complexity and transformation cost faced by the user terminal in compatibility are avoided.

This invention provides a lower housing for a battery pack, a battery pack, and a vehicle, relating to the field of vehicle technology. The lower housing includes a housing body and heat exchange plates. The housing body has an open upper cavity. The heat exchange plates are disposed on the outer side of the housing body and have a flow channel structure. The flow channel structure and the outer wall of the housing body together form a flow channel structure, which is used to introduce a heat exchange medium. The lower housing of this invention improves production efficiency and heat exchange efficiency while effectively avoiding safety risks caused by heat exchange medium leakage, thereby significantly improving the safety of the battery pack.

This invention discloses an intelligent adaptive dose verification calculation method and system. The intelligent adaptive dose verification calculation method includes: obtaining preliminary dose distribution data for a patient based on a deep learning-based dose prediction model; dynamically assigning variance reduction parameters to particles in a Monte Carlo simulation based on the high and low dose distribution information in the preliminary dose distribution data, wherein the variance reduction parameters include simulation weights, with simulation weights assigned to particles predicted to be in high-dose regions being less than those assigned to particles predicted to be in low-dose regions; and using a Monte Carlo dose calculation engine, simulating the planned beam based on the dynamically assigned variance reduction parameters to obtain high-precision verification dose distribution data. This invention's intelligent adaptive dose verification calculation method ensures the physical authenticity of the final verification dose distribution and the credibility of the "gold standard."

The invention provides a novel energy storage system based on carbon dioxide phase change characteristics and an operation method thereof. The novel energy storage system comprises an air compression process, a propane cold energy storage process, a carbon dioxide expansion power generation process, a heat energy loop and a cold energy loop. The volume utilization rate of the storage tank is remarkably increased, the construction cost is reduced, the system efficiency is greatly improved through cold energy gradient utilization, and the expansion power generation process is efficient and stable.

The utility model discloses a curved surface pressure sensor based on a magnetic field, and aims to solve the problem that when an existing flexible pressure sensor based on the magnetic field is matched with a complex curved surface, wiring of a PCB is complex, or the consistency of readings of different Hall elements is low, and consequently the accuracy of a measurement result is reduced. The device comprises a flexible magnet layer, a hard shell layer and a flexible printed circuit board, the hard shell layer is a curved surface, and the inner wall of the hard shell layer is uniformly provided with mounting grooves for placing the stiffening plates; the flexible printed circuit board is provided with a plurality of reinforcing plates which are arranged at intervals, and the plurality of Hall elements are arranged on the plurality of reinforcing plates in a one-to-one correspondence manner; the flexible printed circuit board is connected with the hard printed circuit board through a connector; the problem of adaptation to a complex curved surface is solved, the consistency of the interlayer spacing of the Hall sensor and the flexible magnet is kept, the measurement result of the sensor is more accurate and stable, and the sensor has the capacity of covering the shape of a complex product in a large range.

The present disclosure provides a method and device for processing reserved mobile phone numbers, electronic equipment, medium and computer program product. The above-mentioned method and device can be used in the field of artificial intelligence technology. The method for processing reserved mobile phone numbers is applied to a server, which includes: receiving a risk reserved mobile phone number, wherein the risk reserved mobile phone number is identified by a client calling a risk identification model; obtaining state information and network access time of the risk reserved mobile phone number according to the risk reserved mobile phone number; determining a judgment rule to be called in a secondary number release identification model according to the state information; and marking the risk reserved mobile phone number according to the judgment rule, and transmitting the marking result to the client.

The utility model relates to a single-layer double-frequency GNSS antenna which comprises an antenna medium and a bottom layer metal structure, a high-frequency radiation metal patch is arranged at the center position of the upper surface of the antenna medium, a low-frequency radiation metal patch is arranged on the upper surface of the antenna medium, fan-shaped metal radiation patches are arranged at the four corners of the antenna medium, and the fan-shaped metal radiation patches are arranged on the bottom layer metal structure. An arc-shaped isolation seam is arranged between the fan-shaped metal radiation patch and the low-frequency radiation metal patch; metal through hole structures are arranged on the high-frequency radiation metal patch, the low-frequency radiation metal patch and the fan-shaped metal radiation patch, and feeding points are arranged on the high-frequency radiation metal patch and the low-frequency radiation metal patch. The utility model belongs to the technical field of antennas, a high-frequency radiation metal patch and a low-frequency radiation metal patch are arranged on an antenna medium and are isolated through a non-metal gap, a double-frequency function is obtained, the size of the antenna is effectively reduced, complexity of a traditional multi-layer structure is avoided through a single-layer integrated design, and miniaturization application is facilitated.