162results about How to "Avoid calculation" patented technology

The invention relates to the technical field of fault detection for a wireless communication network, and discloses a fault detection method for the wireless communication network. By collecting data of base station signal strength, network delay, data packet loss rate and user equipment signal quality, the problem of insufficient fault detection caused by a single index is solved. Through multi-dimensional data acquisition, the system can comprehensively evaluate network performance, the fault detection accuracy is improved, and different fault types can be effectively identified especially in a complex fault mode. By storing the data according to the time sequence, the problem of time sequence chaos is avoided, and accurate detection of time-varying faults is ensured. The comprehensive data vector generated by each time of sampling comprises a plurality of network performance indexes, so that the fault detection and positioning capability is improved. Abnormal values are eliminated through data preprocessing, the data quality is ensured, an accurate basis is provided for subsequent analysis, and the reliability of a detection result is ensured.

The invention relates to the technical field of logistics distribution data fusion, in particular to a data fusion method and system based on a logistics distribution knowledge graph. The method comprises the following steps: extracting original data and carrying out independent representation learning and unified representation processing; extracting uniformly expressed context information and carrying out dynamic perception embedding to obtain semantic enhancement features; fusing time-space and dependency features and physical characteristic features based on semantic enhancement features, performing message passing and relation inference by using a graph neural network, and finally determining a multi-mode relation set; global entity clustering and local feature fine matching are carried out based on semantic enhancement features, hierarchical entity alignment is carried out in combination with the multi-mode relation set, and an aligned entity set is obtained; and constructing an entity filling graph according to the aligned entity set, supplementing multi-dimensional relation attributes, and finally generating a logistics distribution knowledge graph. According to the invention, through a logistics distribution data fusion technology, a more comprehensive and more intelligent logistics distribution knowledge graph is realized.

The invention belongs to the field of cooperative control of a multi-agent system, and the method aims at a fully heterogeneous linear multi-agent system under a directed topological graph, takes event-triggered communication transmission as a background, and aims at realizing stable formation control on the premise of utilizing a fully distributed control structure. And the formation control problem of the fully heterogeneous multi-agent system based on the mixed event triggering mechanism is researched. According to the method, a mixed event trigger communication strategy is used, network transmission bandwidth occupation can be reduced, and data transmission energy consumption is saved; designing a local state observer and a distributed event trigger state observer to estimate the states of the followers and the leader according to the conditions that the states of the followers are unknown and communication links do not exist between the leader and part of the followers; the designed distributed formation control protocol does not depend on global information, can ensure that followers realize ideal time-varying output formation configuration in a dynamic environment, and can accurately track a motion trail formed by a plurality of leaders at the same time.

The invention discloses a real-time three-dimensional multi-machine conflict resolution method based on graph reinforcement learning, and the method comprises the steps: constructing a three-dimensional air traffic interaction scene, carrying out the modeling of the scene into a graph, and obtaining the convolution features of the graph as model input; and establishing a conflict buffer model, and designing a reward function to guide the aircraft to minimize an additional flight distance while ensuring a safety interval. A D3QN reinforcement learning algorithm is adopted for training, the optimal avoidance action of the aircraft is obtained, and real-time multi-aircraft conflict resolution in the high-density airspace is achieved.

The invention relates to a comprehensive pipeline collision detection method and system, and the method comprises the steps: obtaining a three-dimensional model of a pipeline, and carrying out the self-adaption segmentation according to the bending degree if the pipeline is a bent pipe; extracting the central axis of the pipeline, determining the density of the pipeline according to the pipeline distribution and complexity, if the pipeline distribution is sparse, establishing a capsule body by using the central axis, and screening out the pipeline which may collide through coarse collision detection according to the capsule body; if the pipelines are densely distributed, screening out the pipelines which may collide by combining a bounding box based on a spatial index method; a certain number of points are sampled on the surfaces of the two possibly collided pipelines according to the curvature and complexity of the pipelines to obtain two point sets, whether collision points exist or not is determined according to distribution of elements in the two point sets, and if the collision points exist, the collision points are displayed in the three-dimensional model of the pipelines.

The invention discloses a boundary determination method and device of a steady-state security domain, equipment, a medium and a product. The method comprises the following steps: establishing a comprehensive energy station model under an electric heating system, and obtaining related parameter information of the comprehensive energy station model and load information of each energy station; according to the load information and the related parameter information, determining operation constraint information satisfying the operation of the electric heating system; according to the operation constraint information and a preset quotient gradient system model, constructing a steady-state security domain model of the comprehensive energy station model; and solving the steady-state security domain model based on a numerical trajectory unification algorithm to obtain the boundary of the steady-state security domain of the comprehensive energy station model. A steady-state safety domain model is constructed through a preset quotient gradient system model, an accurate model of a multi-energy station steady-state safety region is completely represented, solving is carried out through a numerical trajectory unification algorithm, and a boundary is determined. The calculation of a large number of meaningless points in the safety area is avoided, the calculation efficiency is improved, and the accuracy of boundary determination is ensured.

The invention discloses a self-constraint magnetic anomaly physical property inversion method and system based on correlation coefficients, and relates to the field of geophysical data inversion interpretation, and the method comprises the steps: carrying out the grid processing of actual measurement data, and obtaining actual measurement two-dimensional data D; dividing the underground space into uniform grid units; correlation imaging calculation is carried out on the actually measured data, and a correlation imaging coefficient matrix C is calculated; obtaining a conversion coefficient matrix K according to the prior geological data, and calculating an inversion initial model M0 according to the conversion coefficient matrix K and the related imaging coefficient matrix C; and performing physical property inversion calculation on the inversion initial model M0 by using a conjugate gradient algorithm to obtain inversion magnetic information of the underground space. According to the method, the observation data correlation coefficient matrix is introduced as a self-constraint condition, and the fitting degree and roughness of the conjugate gradient inversion model are self-constrained through the correlation coefficient matrix, so that the multiplicity of solutions of the inversion result can be reduced, the stability of the inversion result can be enhanced, and the resolution of the inversion result can be improved.

The invention discloses an intelligent signal detection and identification method based on time-frequency feature fusion and an anchor-free detection head. The method comprises the following steps: capturing a wireless signal broadband; carrying out time-frequency transformation preprocessing; signal detection and identification based on a neural network; and converting the time-frequency information. The invention provides a network suitable for signal detection and identification. The network is divided into a backbone network, a neck network and a detection head network. A backbone network composed of a component-convolution block architecture is provided, and the network complexity can be flexibly adjusted to effectively extract features; a multi-scale time-frequency feature aggregation module is inserted into the neck network to efficiently perform feature fusion; the detection head network is changed into an anchor-free mechanism to improve the output efficiency; and the final output of the network is subjected to time-frequency information conversion to obtain the bandwidth, duration and other parameters of the signal. According to the method, support can be provided for rapid and automatic signal detection and identification, and the problems of high human participation degree, high signal detection and identification rate and the like in military communication intelligence reconnaissance are effectively solved.

The invention discloses an anaphora disambiguation method and system based on big language model enhanced text and structured query language generation. The method comprises the following steps: receiving a natural language question of a user, and analyzing and generating structured table field information through mode information; identifying and rewriting fuzzy time expression in the problem; extracting ambiguous entities, and replacing the ambiguous entities with database standard values through semantic matching and fuzzy matching; synthesizing the information to generate a structured query language statement and executing the structured query language statement; and if the execution result is null, automatically triggering an anaphora disambiguation process, performing error correction and re-matching on field values in the statement through a dual matching mechanism, and generating and executing a corrected query statement. According to the method, the problems of fuzzy anaphora, indefinite time expression, low matching accuracy, resource waste and the like in a traditional SQL system are effectively solved through a strategy of combining pre-processing and post-processing, and the accuracy, robustness and execution efficiency of complex query are remarkably improved.

The invention discloses a method and device for calling a kernel function by a Triton operator and electronic equipment, and relates to the technical field of artificial intelligence. The method comprises the steps that a runtime structure of a Triton operator is constructed, if a kernel function is called for the first time and is a single core, the kernel function is compiled through JITFunction, if the kernel function is called for the first time and is a multi-core, compiling parameters with the best overall performance are obtained through overall adjustment, if the kernel function is not called for the first time, the kernel function is obtained through a mapping table in LibEntry, and if the kernel function is called for the second time, the kernel function is called for the first time and is a multi-core. Compilation parameters and corresponding kernel functions or optimal compilation parameters and corresponding kernel functions are written in the mapping table. Practice shows that according to the scheme provided by the invention, the end-to-end time overhead can be reduced by about 70% in small-scale function calling. Moreover, the parameter tuning space of the multi-core operator is expanded through a global tuning mode, the degree of freedom of configuration parameters is improved, and the calculation efficiency of reduction operators is improved.

A converter station AC filter group circuit breaker abnormal arcing modeling analysis method comprises the following steps: firstly, carrying out time mark alignment, amplitude calibration and filtering de-noising on wave recording signals such as AC bus voltage and filter branch current to obtain high-quality input data; then, combining a primary wiring diagram, enabling an alternating current system to be equivalent to an ideal power supply and series impedance, enabling circuit breaker arcing to be equivalent to arc resistance changing along with time, and constructing an equivalent circuit model comprising the power supply, the impedance, a capacitor, an electric reactor and dynamic arc resistance; establishing a state space equation according to a voltage and current constraint relation, and performing time domain solution by adopting a two-step two-order or three-order diagonal implicit Runge-Kutta method to obtain voltage and current responses of the whole process of the fault; on this basis, the arc resistance change is inversed according to the ratio of arc voltage to current, the current zero passage is identified through the resistance symbol change at adjacent moments, and the zero passage section is smoothed; and finally, the inversion result is verified again by means of the simplified equivalent model.

The utility model relates to the technical field of measurement, in particular to an inner diameter measuring mechanism which comprises a base and a measuring assembly. The measuring assembly comprises two sliding blocks, a double-thread screw, two limiting frames, a positioning rod, a moving block, a pushing mechanism, a measuring rod, a connecting rod and a pointer. The base is provided with scale marks; during measurement, a pipe cap is placed on the base, the positioning rod and the measuring rod are buckled, then the double-thread screw is rotated to drive the two sliding blocks to be close to each other, the two limiting frames are close to each other to slightly clamp the pipe cap, the circle center of the pipe cap, the circle center of the section of the positioning rod and the circle center of the section of the measuring rod are located on the same vertical plane, and then the pushing mechanism is used for pushing the pipe cap to move. The movable block is pushed to drive the measuring rod to move rightwards until the positioning rod and the measuring rod abut against the left side and the right side of the inner wall of the pipe cap respectively, then direct reading can be conducted according to the scale marks and the pointer, the reading is the inner diameter of the pipe cap, calculation can be avoided, and the inner diameter of the plastic pipe cap can be more conveniently and directly measured.

A lightweight self-adaptive collaborative attention mechanism is characterized in that input features are divided into n different groups, each group is independently processed through global average pooling, self-adaptive convolution and a sigmoid activation function to obtain the attention weight of the group, then the attention weight is multiplied by the features of the group to obtain the weighted features of the group, and the weighted features of the group are calculated. And finally, performing concat splicing on each group of weighted features to generate final output. The lightweight adaptive collaborative attention mechanism has the beneficial effects that the lightweight adaptive collaborative attention mechanism can enhance the adaptability of the model, not only can reduce redundant calculation, but also can perform multi-scale feature enhancement.

The invention provides a data processing method, system and device, electronic equipment, a storage medium and a product, and the method comprises the steps: obtaining the eye movement tracking data of a user, and determining the visual field range of the user according to the eye movement tracking data; screening out at least one first imaging device from the plurality of imaging devices according to the field of view; the first imaging device is an imaging device in a visual field range; for any first imaging device, acquiring first reality image data acquired by the first imaging device; according to the first reality image data corresponding to each first imaging device, the target reality image is generated, unnecessary calculation and data processing are avoided, the utilization efficiency of system resources is optimized, and the data volume needing to be processed is reduced, so that the system delay is reduced, the overall performance is improved, and the fluency of user experience is ensured.

The invention relates to a calibration method for X / Y channel phase delay errors of an all-angle hemispherical resonator gyroscope, and belongs to the technical field of inertial device error calibration, and the calibration method comprises the following steps: S1, based on an average method, establishing an all-angle hemispherical resonator gyroscope nonlinear error model containing the X / Y channel phase delay errors; s2, performing parameter calibration on the all-angle hemispherical gyroscope nonlinear error model containing the X / Y channel phase delay error based on a moving phase to obtain a calibrated X / Y channel phase delay error; and S3, compensating the output of the full-angle hemispherical resonator gyroscope by using the calibrated X / Y channel phase delay error. The parameter identification work can be carried out offline, the problem of calculation of a large amount of real-time data is avoided, the calibration result is high in reliability, high in universality and simple to operate, the full-angle hemispherical resonator gyroscope is high in precision and good in practicability after compensation, and the problems that in the prior art, the calibration result is not reliable, and the precision is poor after compensation are solved.

The invention relates to the technical field of artificial intelligence and natural languages, in particular to a long document question and answer generation method based on a large language model.The method comprises the steps that approximate nearest neighbor search is conducted through an HNSW index, N most relevant triads are retrieved, and for each position in the retrieved triads, a fixed-size window such as [-M, M] is obtained; all (k, v) pairs within a range of 1, 2, 3, 4, 5, 6, 7, 7, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, a new K'matrix and a new V 'matrix are formed by splicing (k, v) pairs obtained by retrieval and expansion with K and V matrixes of a current input sequence, attention is calculated by using a standard zoom dot product attention mechanism, and only vectors corresponding to an input problem sequence are reserved, so that the global view is ensured, unnecessary calculation is avoided, and the accuracy of the attention calculation is improved. Therefore, the serious problems of calculation efficiency and memory use during long sequence processing are solved.

The invention discloses a power grid topology local change-based factor graph rapid generation method and system, and the method comprises the steps: judging a power grid topology correction type according to the change condition, and generating a corrected power grid topology graph after the topology change of an original power grid topology graph; based on the original power grid topological graph and the corrected power grid topological graph, calculating power grid topology increment information through a power grid topology correction type; and correcting the factor graph according to the original power grid factor graph and the power grid topology increment information, and generating a corrected factor graph. According to the method, the original power grid factor graph information corresponding to the original power grid topological graph is fully utilized, and rapid correction of the factor graph after power grid topological change is completed; main data models required in the local correction process of the power grid factor graph are modeled into graph models, and the graph models are processed by using a graph calculation method, so that the utilization efficiency of a storage space is improved, unnecessary calculation steps such as zero element calculation are avoided, and the storage and calculation efficiency is remarkably improved.

The invention discloses a memory management method for reducing fragmentation and an operating system, and belongs to the technical field of computer storage. Memory management is performed through a memory pool, a logic space is created for mapping with the memory pool, a page table is utilized to record a mapping relation between memory pages of the memory pool and memory pages of the logic space, and a memory recovery table records memory information supporting automatic recovery and the total memory capacity in the memory recovery table according to an application sequence. Memory allocation, memory access, memory release and memory recovery are all carried out through a logic space. According to the invention, the rapid allocation of the memory is realized, and the fragmentation of the memory is reduced.

The embodiment of the present invention provides a pathfinding method and apparatus, device, and medium based on a game scene. The method includes: in response to a pathfinding instruction issued to an application, obtaining a target position from the pathfinding instruction, and determining a target scene area where the target position is located; obtaining transmission point information corresponding to the target scene area from a transmission information table, wherein the transmission point information corresponding to each of a plurality of grids is stored in the transmission information table; and executing the action logic corresponding to the pathfinding instruction based on the transmission point information corresponding to the target scene area. By directly obtaining the transmission point information corresponding to the target scene area from the transmission information table, the method can not only avoid a large amount of calculations generated in each pathfinding process, greatly improving the transmission point search efficiency, but also avoid the problem of a sharp increase in the complexity of the transmission point search due to an increase in the number of transmission points, so that the number of transmission point configurations in the game scene map is not limited, and the transmission point configuration is more flexible.

The invention provides a data access method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of data processing. The data access method comprises the following steps: receiving a data access request; determining duplicate requests in the data access requests based on the parameter information of the data access requests, and creating a target channel based on a first duplicate request in the duplicate requests; obtaining target data corresponding to the first repeated request based on the target channel, and closing the target channel; and returning the target data. For the repeated requests, the target data is obtained and returned through the target channel created by the first repeated request in the repeated requests, repeated access and calculation of the same requests are avoided, and waste of system resources is reduced. Besides, after the first repeated request information obtains the target data and closes the channel, the target data is returned, so that the consistency of the data and the stability of the system are ensured.

The present disclosure relates to the field of communication technology. According to the spectrum management device provided in the embodiment of the present disclosure, it is used to manage the use of spectrum resources of a first system by a second system, and the second system has a lower right to use the spectrum of the first system than the first system. The spectrum management device includes a processing circuit, which is configured to identify reference point information for the second system, and determine the spectrum resources for the second system based on whether the reference point information is positive or negative, wherein when the reference point information is positive, the processing circuit determines that the second system is suitable for using the spectrum resources of the first system; and when the reference point information is negative, the processing circuit determines that the second system is not suitable for using the spectrum resources of the first system.

The embodiment of the invention discloses a motion state prediction method and device, and the method comprises the steps: obtaining a dynamic function corresponding to a target object, and enabling the dynamic function to be obtained according to a dynamic equation, and to be used for representing the relation between the motion state of the target object and time; determining a target function by using the kinetic function; performing iterative search on the dynamic variable of the target function by using a conjugate gradient method to minimize the value of the target function; and predicting the motion state of the target object by using the searched dynamic variable value. The motion state of the target object is predicted by using the conjugate gradient method, and the prediction efficiency of the motion state is improved.

The application provides an integrated circuit yield estimation method and a memory, and the method comprises the following steps: formulating a boundary of a success region and a failure region of an integrated circuit performance in a parameter space, and representing the boundary as a boundary surface formula equation; calculating a size of a space defined by the boundary surface formula equation and a boundary surface formed by each parameter axis; and calculating a ratio of the size of the space defined by the boundary surface formula equation and the boundary surface formed by each parameter axis to a size of a space formed by each parameter range, to obtain an estimated yield. The technical scheme of the application can improve the estimation efficiency of the integrated circuit yield.

The present invention belongs to the technical field of petroleum exploration, and discloses a method for calculating geological proven reserves of natural gas wells based on logging while drilling, which includes the following steps: 1. Determine the starting depth position of the target reservoir according to the logging while drilling display, and record the logging while drilling gas measurement and well diameter data of the depth interval; 2. Calculate the gas volume contained in the rock fragments per unit thickness under surface conditions according to the ground measurement data; 3. Calculate the gas volume contained in the rock per unit thickness under formation conditions according to the gas state equation; 4. Calculate the gas content ratio of the rock per unit volume under formation conditions; 5. Calculate the well-controlled geological proven reserves of natural gas corresponding to the cumulative reservoir thickness; 6. Accumulate the well-controlled pure gas reservoir geological proven reserves within the processing depth range. The present invention can conveniently obtain the geological proven reserves of the reservoir in real time, which is more direct, convenient and fast to calculate, with high accuracy, low cost, and easy to promote compared with the method based on logging curves after drilling.

The application discloses a kind of based on benchmark magnetic flux state electromagnetic power network and electromagnetic transient load two-way power coupling method and device, it is related to pulse power network, electromagnetic transient load and plasma load coupling simulation technical field.The method includes: reading external electromagnetic power network state and magnetic flux state;Candidate external response is generated;Magnetic update entry arbitration is executed to candidate external response;Forming to be accepted magnetic flux state;From the projection of to be accepted magnetic flux state, a plurality of loop magnetic chains are obtained, and to be accepted counter electromotive force and network residual error are generated.Through the magnetic chain calculated by sharing magnetic flux state, external electromagnetic power network does not need to maintain second set of magnetic field state, and power closure, magnetic chain residual error and magnetic update constraint can be accepted simultaneously.

The invention provides a construction safety assessment method and system for a new building pile foundation along a subway in a soft soil area, and the method comprises the steps: building a numerical model of a pile foundation adjacent to an operating subway and a surrounding soil body, and obtaining the distribution of a stress field around the pile foundation; through data collection and equation fitting, a relation model of the dynamic shear modulus and the dynamic shear strain of the soil body around the pile foundation and the mechanical property parameters of the soil body of the soft soil is obtained; according to the relation model, a relation model between the soft soil dynamic stress and the static strength reduction rate is constructed; according to the relation model between the soft soil dynamic stress and the static strength reduction rate, a pile side resistance experience composition formula is combined, the pile foundation bearing capacity obtained after reduction is calculated, then the loss ratio of the pile foundation bearing capacity obtained after reduction is calculated, and therefore the construction safety rating of the newly-built building pile foundation along the subway is evaluated. According to the method, regular summary of the bearing capacity loss of the pile foundation in the soft soil area is achieved, and effective guidance and an optimized path are provided for planning and construction of newly-built buildings along subways in the soft soil area.

The application provides a converter valve area short-circuit fault positioning method, device, equipment and medium, the method comprises the following steps: dividing the converter valve fault into eight typical valve area short-circuit faults; RTDS simulation analysis, according to the different converter protection action results, dividing into three types of protection actions, giving the typical fault characteristic quantity of the valve difference protection action for positioning the valve area fault and the eight typical valve area short-circuit quick criterion; according to whether the actual converter protection action occurs in the rectifying station or the inverting station, confirming the valve area short-circuit fault occurring station; according to the converter protection action event of the monitoring background, confirming the converter protection action type and the valve area fault converter bridge; calling the built-in fault recording of the DC control protection, analyzing the converter protection action waveform, analyzing the fault characteristics of the current waveform of the valve side of the converter bridge and the outlet current waveform of the DC side, positioning the valve area short-circuit fault point according to the typical fault characteristic quantity of the valve difference protection action and the eight typical valve area short-circuit quick criterion; and has the advantages of fast positioning speed and simple analysis method.

The invention provides a flow calculation device and a flow calculation method. The flow rate calculation device includes: a specific flow path and a bypass flow path provided to divert and divert a fluid from a main flow path; the first flow resistance element is arranged in the specific flow channel; the second flow resistance element is arranged in the bypass flow channel; a container disposed on the downstream side of the first flow resistance element in the specific flow path; a pressure sensor for detecting the pressure in the container; and a flow rate calculation unit. The flow rate calculation unit calculates the flow rate of the first shunt fluid shunted to the specific flow path on the basis of the change in the pressure in the container, and calculates the flow rate of the fluid flowing through the main flow path on the basis of the calculated flow rate of the first shunt fluid and a shunt ratio determined from the first flow resistance element and the second flow resistance element.

The invention provides a high-precision data fusion method for an array MEMS (Micro Electro Mechanical System) gyroscope, which comprises the following steps of: designing a first-stage Kalman filter to carry out local optimal estimation on each sensor before multi-sensor data enters a fusion center by adopting a multi-stage distributed data fusion technology based on improved Kalman filtering; a first-stage estimation value of a single gyroscope in the array is obtained, then processed information is sent to a second-stage fusion center to be processed, and finally an optimized high-precision angular velocity output value is obtained. Meanwhile, the angular velocity is estimated by using the steady-state value of the filtering gain in the Kalman filtering process, so that the calculation of the gain and the mean square error in each step is avoided, the complexity and the operand in the processing process are optimized, and the real-time processing of the gyroscope array is facilitated. The method has remarkable effects of reducing the random error of the MEMS gyroscope and improving the detection precision of the MEMS gyroscope.