19results about How to "Shorten initialization time" patented technology

The invention provides a GNSS (Global Navigation Satellite System) integer ambiguity estimation method and equipment based on improved particle swarm optimization, which are used for realizing rapid and accurate estimation of high-dimensional integer ambiguity and comprises the following steps of: performing integer Gaussian transformation parameterization on floating point ambiguity and a variance-covariance matrix thereof; taking a minimum optimal integer candidate vector residual quadratic form as fitness, and establishing an ambiguity search target function; performing direct rounding estimation on the floating point ambiguity to obtain a search initial value; determining a search space of each ambiguity component by combining the floating point ambiguity and the median error after integer Gaussian transformation; setting an improved particle swarm optimization method, and setting a dynamic inertia weight, a dynamic learning factor, a boundary detection and control model, an adaptive iteration model and a scale factor improvement model; and performing optimal and suboptimal integer ambiguity candidate vector estimation, and obtaining a corresponding residual quadratic form. The method can be used for ambiguity calculation of non-difference ambiguity, dual-frequency and ionosphere-free combination models, and can also be popularized to other GNSS integer ambiguity estimation problems.

The invention relates to the technical field of unconventional oil and gas development, in particular to a system and a method for simulating gas-water alternation multi-turn pressing-braising injection and production oil displacement. According to the scheme, a pressing fracture network and a matrix reservoir are equivalently simulated, and pressing-braising injection and production of well soaking time are reasonably considered, so that the result is more accurate, and the oil displacement efficiency is improved. After the fracture core clamping unit and the matrix core clamping unit are exchanged in the forward direction and the reverse direction, a compact core is rapidly saturated, the oil reservoir initialization time is shortened, the influence of multiple fracture parameters on oil displacement in the three stages of pressing, braising and mining can be considered without repeatedly disassembling and assembling the core clamping unit, the fracture form is changed by replacing the fracture forming core, and the oil displacement efficiency is improved. The influence rule of a water-gas composite medium on the oil well pressing-braising-production capacity under different storage and seepage modes can be researched, the different storage and seepage modes comprise a multi-stage fracture-matrix reservoir, a large fracture-matrix reservoir, a micro-fracture-matrix reservoir and an original matrix reservoir, and independence and integrity of a fracture core and a matrix core are ensured; the experiment time is greatly shortened.

The invention discloses a quantum bit rapid initialization method and system and a superconducting quantum computer. The method comprises the following steps: calibrating quantum bit reading cavity frequency, excited state frequency, Raproportion oscillation between a ground state and a first excited state and Raproportion oscillation between excited states; calibrating the transverse field driving frequency of the decoration state and the transverse field driving frequency of the excitation state; quantum state evolution probabilities under different transverse field driving amplitudes are measured, and a transverse field driving parameter with the fastest initialization rate is determined; and transverse field driving parameters are applied to corresponding channels to realize rapid initialization of the quantum bits. The system comprises a waveform generator module, a combiner module, a quantum carrier module and a reading display module. The superconducting quantum computer comprises the system and executes the method. According to the invention, the equivalent coupling strength between the quantum bit and the resonant cavity can be rapidly changed, the rapid dissipation channel is constructed by using the extremely strong photon dissipation rate of the resonant cavity, and the rapid initialization of the Fluxium quantum bit is realized.

The invention provides a method and a device for realizing service process recovery by accessing a shared memory, and belongs to the field of storage configuration. Comprising the following steps: dividing a system into a business layer, a memory pool layer, a shared memory connection layer and an operating system layer; initializing all objects needing to be recovered, and constructing the objects on a shared memory area; replacing all global new / deelete operators in the system with a shared memory version; executing a fork operation in the system, and managing the shared memory area for the generated child process inheriting the parent process through a pointer type object of the child process; and in a multi-process model in which a parent process or child process relationship is not shared, calculating the mapping offset during the current call and the last call, and correcting all the pointer objects according to the offset. According to the method, the stability, reliability and efficiency of the system are effectively improved, quick recovery of the shared memory is realized in a multi-process environment, and powerful support is provided for high-performance operation of the system.

A visual odometer initialization method based on point cloud multilayer sampling is suitable for an unmanned system of unmanned aerial vehicles (UAV) and unmanned ground vehicles (UGV) cooperative tasks, and comprises the following main steps: firstly, performing feature point matching in multiple frames of images by using a KLT algorithm, and constructing a sliding window; secondly, through 2D-2D feature association and a PnP algorithm, constructing a scale-free SFM point cloud based on the feature point data; then, IMU data and the SFM point cloud are fused, and the pose and the scale are calculated through pre-integration; thirdly, performing vision-inertia alignment by applying a multi-level sampling method to obtain a coarse registration pose; and finally, through a BA optimization structure, carrying out fine adjustment to obtain an accurate pose. The method can effectively improve the pose estimation precision and efficiency in an unknown environment, and has an important application value.

The invention discloses a wearable device battery replacement processing method, a wearable device and a storage medium, and relates to the technical field of intelligent wearing, and the wearable device battery replacement processing method comprises the following steps: when it is detected that a user needs to replace a main battery, temporarily supplying power through an auxiliary battery, and storing operation data corresponding to current software operation; and entering a low power consumption mode with low power consumption until it is detected that the main battery is reinstalled. After it is detected that the main battery is reinstalled, switching is conducted again to supply power through the main battery, the normal working mode is returned, and the operation data stored in the original normal working mode is read, so that the software can be directly used through the read operation data and does not need to be initialized again; a large amount of time for initializing the software is saved, and the user experience is met.

The present invention belongs to the technical field of industrial control equipment virtualization, and specifically relates to a pooling method and system for industrial control equipment in a network range. The method includes: S1, using a bypass monitoring device to monitor the status of the industrial control equipment in real time; S2, using a bypass control device to establish a physical connection with the industrial control equipment, and initialize and reset the industrial control equipment; S3, according to the data reported by the bypass monitoring device and the bypass control device, establish a virtualized industrial control equipment, and add the virtualized industrial control equipment to the virtualized industrial control equipment pool; S4, when the range needs to call the industrial control equipment, move the call request into the call queue. The present invention has the characteristics of being able to enhance the simulation capability of the industrial control network environment by improving the degree of automation and resource utilization, thereby improving the overall performance and use effect of the network range.

The invention provides an FPGA-based DDR sampling clock dynamic adjustment sampling method and system, and the method comprises the steps: generating a local clock and a phase offset clock, the local clock is used for generating a DDR read command, and the phase offset clock can perform phase offset relative to the local clock; a DQS clock and DQ data are returned based on a read command sent to the DDR, and the DQS clock and the DQ data are aligned in physical layers; controlling the DQS clock to sample the phase offset clock for multiple times; comparing the sampling data with the last sampling data to obtain a comparison result; and controlling the phase offset clock to perform offset operation according to the comparison result, recalculating the phase relation of the phase offset clock relative to the local clock, and controlling to realize alignment of the edge of the phase offset clock and the central position of the DDR return data. According to the invention, the simple and efficient data sampling function is realized, the occupied resources are few, the realization is easy, and the initialization time of the DDR is reduced.

The invention relates to the technical field of papermaking process optimization, and discloses a papermaking mixed integer nonlinear optimization method, device and equipment and a storage medium. The method comprises the steps of receiving a to-be-optimized mixed integer nonlinear programming model; calling a feasible pump to perform initialization iterative optimization on the to-be-optimized mixed integer nonlinear programming model to obtain a preliminary optimization result; obtaining a plurality of behavior state quantities in the initialization iterative optimization process; when an optimization switching condition is satisfied, calling an external approximation main loop to carry out external approximation main loop iterative optimization on the preliminary optimization result, and outputting a target optimization result until a convergence condition is satisfied; and determining optimized operation parameters of the papermaking process based on the target optimization result. According to the scheme, starting opportunities are dynamically switched on the basis of iteration characteristics of feasible pump stages, invalid iteration caused by fixed stage division is reduced through the global optimization solution concept of staged and collaborative optimization, and the solution efficiency and robustness of the complex industrial MINLP problem are improved.

This application provides a system memory management method, circuit, and electronic device. The method includes: during the initialization phase, storing a first number of consecutive conversion relationships extracted from a memory module into a cache module, wherein the conversion relationship refers to the relationship between the virtual address and the physical address of video data; when a second number of preceding conversion relationships among the first number of consecutive conversion relationships stored in the cache module are used up, extracting a second number of consecutive conversion relationships from the memory module; wherein the extracted second number of consecutive conversion relationships have a linear temporal progression relationship with the conversion relationships currently stored in the cache module; and using a cross-replacement strategy, replacing the used second number of preceding conversion relationships in the cache module with the second number of consecutive conversion relationships extracted from the memory module.

The present disclosure provides a terminal initialization method, device, electronic equipment and storage medium. The terminal initialization method comprises: obtaining initialization parameters, inertia constraints and visual constraints of a terminal; constructing an information matrix according to the initialization parameters, inertia constraints and visual constraints; performing Schur complement elimination on the information matrix to eliminate the feature points from the information matrix to obtain an eliminated information matrix; performing Cholesky decomposition on the eliminated information matrix to obtain an upper triangular matrix and a lower triangular matrix; inverting the image frame state quantity corresponding to the nearest preset time in the upper triangular matrix to obtain the square root of the covariance, and then determining the covariance; and determining the initialization state of the terminal according to the covariance and the initialization parameters. The method of the present disclosure can quickly solve the covariance and reduce the state quantity fluctuation amplitude.

The invention belongs to the technical field of computers, and provides a tab display method and device, equipment and a storage medium. According to the embodiment of the invention, a tab display request for a target service sent by a user terminal is intercepted, and context information related to the target service in the user terminal is acquired from the tab display request; performing tab matching based on the context information and the tab rule set to obtain a matched tab list; performing tab assembly based on tab element information of each matched tab in the matched tab list to obtain tab assembly information; the tab assembly information is sent to the user terminal, and the user terminal performs on-demand rendering based on the tab assembly information and displays a corresponding matched tab. According to the embodiment of the invention, the function development cost for tab display and the tab operation and maintenance complexity can be reduced.

This invention discloses an adaptive adjustment system for CNC drilling parameters of furniture panels under a hybrid production mode, relating to the field of CNC machining equipment control technology. The system includes an acoustic emission sensor installed near the drilling spindle and a controller connected to the acoustic emission sensor. The controller is configured to: scan the spectral distribution of the acoustic emission signal in the initial stage of the drill bit contacting the surface of the panel, identify at least one characteristic frequency related to the surface layer and at least one characteristic frequency related to the substrate layer, and dynamically set the characteristic frequency bands of the surface layer and the substrate layer accordingly. This invention shortens the panel initialization time in a hybrid production mode by pre-identifying the panel type and reusing historical spectrum templates; and improves the stability of layer identification in noisy environments by dynamically setting the frequency band of a single panel and integrating the energy of continuous frequency bands.

The invention relates to the technical field of block chain data management, in particular to an on-chain approximate nearest neighbor data privacy retrieval method and system based on locality sensitive hashing. A data management node obtains data from a chain and constructs a hash table for the on-chain data by using locality sensitive hashing; encrypting the hash table into a ciphertext by using attribute-based encryption according to an access control strategy, and storing and chaining the ciphertext; and acquiring the ciphertext under the condition that the access control strategy is met, and performing on-chain data retrieval on the retrieval vector by using the smart contract to acquire on-chain data most similar to the retrieval vector. According to the method, the local sensitive hashing technology and the distributed point function are used, the private information retrieval thought and the local sensitive hashing are combined to achieve approximate nearest neighbor retrieval of the on-chain data, feasibility is provided for diversity of on-chain data management, retrieval efficiency and privacy protection can be taken into consideration, and the method is suitable for large-scale popularization and application. Efficient, accurate and safe on-chain data approximate nearest neighbor privacy retrieval can be realized.

The invention provides an Internet of Things edge control system applied to the field of sewage treatment, and relates to the technical field of data management. According to the invention, an HMI scheme is realized through cooperation of the mobile terminal and the intelligent gateway, field touch screen equipment is replaced, the hardware cost is reduced, and the operation convenience and the application richness are improved. According to the system, software is adopted to replace a hardware touch screen controller, reliability and safety are improved, meanwhile, operation logs are recorded in the mobile handheld device and the intelligent gateway, backtracking inspection is facilitated, and interaction support is provided for follow-up parameter configuration and device initialization; in the aspect of parameter configuration, the system introduces an operation effect as key information, and is combined with daily work of configuring operation parameters by experts, so that the efficiency of configuring control parameters is improved, and an effective expert experience library is formed; in the aspect of equipment initialization, the system performs filter parameter initialization by using cloud historical data, so that the filter initialization time is saved, and the prediction accuracy and the response speed are improved.

The invention aims to provide a method for improving the efficiency of a CPU (Central Processing Unit) configuration accelerator based on a template. The method comprises the following steps: acquiring a working mode of CPU configuration; configuring a module of the accelerator according to the working mode configured by the CPU; and checking whether the module of the accelerator is configured. Through a module configuration technology, the configuration workload of a CPU (Central Processing Unit) can be reduced, the software participation degree can be reduced, logic is generated in the accelerator to quickly configure an internal register, so that the accelerator quickly enters a working state, the initialization time is shortened in an initialization stage, and quick switching of different working modes of the accelerator can be realized in a normal working stage.

The invention discloses a system-on-chip, a data processing method and a related device, the system-on-chip comprises a central processing module and a security processor module, the central processing module comprises a central processing unit, an advanced extensible interface, a switching bridge and a first advanced peripheral bus, the central processing unit is connected with the advanced extensible interface, and the switching bridge is connected with the first advanced peripheral bus. The advanced extensible interface is connected with the first advanced peripheral bus through the switching bridge, the safety processing module comprises a safety processor, and the safety processor is connected with the advanced extensible interface and the first advanced peripheral bus. The security processor is added in the system-on-chip, so that the central processing unit can process other non-security tasks while the security processor processes the security tasks, the security task processing efficiency of the operating system is improved, the load of the central processing unit is reduced, and the initialization time of the operating system is shortened.

This invention discloses a cutting control system for a stainless steel pipe manufacturing production line. This invention relates to the field of stainless steel pipe cutting technology and solves the technical problems of delayed and crude anomaly identification and lack of stability monitoring under normal conditions. The invention collects manufacturing requirement parameters through a cutting parameter analysis module and automatically calls preset matching parameter combinations from the database to complete initial calibration. This method not only eliminates parameter deviations caused by experience differences, shortens initialization time, and improves parameter matching, but also increases the initial accuracy compliance rate of kerf width, kerf diameter, etc. It collects actual operating parameters at high frequency, compares them with the allowable error range, and generates anomaly adjustment signals in real time, shortening the anomaly detection time and reducing the defect rate. It calculates the standard deviation of fluctuations for parameter differences under normal operating conditions, triggers instability warnings based on fluctuation thresholds, and handles warnings in three levels according to the number of warnings, reducing the incidence of sudden anomalies.

The present application discloses a test stimulus compression method, device and circuit based on variable-length LFSR. The circuit includes: a variable-length LFSR module, the variable-length LFSR module has an excitation input end for receiving the original test stimulus in the original test vector of the chip to be tested, and a signal input end for receiving a control signal. The variable-length LFSR module is used to select a target LFSR that matches the number of determined bits in the original test stimulus from multiple LFSRs according to the control signal, call the target LFSR, and compress the original test stimulus using a sequential linear transformation method to obtain a compressed test stimulus, where different LFSRs match different numbers of determined bits; a multiplexed phase shift module adapted to the variable-length LFSR module is connected to the variable-length LFSR module, each phase shift module in the multiplexed phase shift module corresponds to an LFSR, and the phase shift module is used to process the output dependency of the corresponding LFSR. The present application solves the technical problem of a large amount of test data in the related art.