18 results about "Standard algorithms" patented technology

The invention discloses a multi-dimensional enterprise qualification evaluation method and system, and the method comprises the steps: obtaining multi-dimensional original data, and obtaining a standardized enterprise multi-dimensional feature data set through employing a data cleaning and normalization preprocessing technology; aiming at a standardized enterprise multi-dimensional feature data set, performing grouping optimization and weight calculation on indexes by utilizing an improved WP-PVC algorithm, and constructing a multi-dimensional evaluation index system; based on the multi-dimensional evaluation index system, a double-standard WP-PVC algorithm is adopted to carry out inter-index correlation analysis and score calculation, and an enterprise qualification comprehensive score result is generated; according to an enterprise qualification comprehensive scoring result, in combination with a multi-logarithm algorithm of random online sorting, calculating a matching degree between the enterprise and various science and technology projects, and outputting a project matching recommendation list and application success rate prediction; and automatically generating an enterprise qualification diagnosis scoring report based on the enterprise qualification comprehensive scoring result and the project matching recommendation list. According to the invention, comprehensive evaluation of enterprise qualification, accurate project matching and scientific application guidance are realized.

The invention discloses a system for realizing file authorization sharing based on an SM2 proxy re-encryption algorithm, and the system comprises a client module which is used for file encryption, key generation and key exchange between users; the server module is used for storing a file ciphertext and a Capsule and carrying out key conversion; and the encryption algorithm module is used for realizing secret key generation based on SM2, file encryption based on SM4 and Hash calculation of SHA3. The method has the beneficial effects that national commercial password standard algorithms such as SM2, SM4 and the like are fully fused, and data encryption and proxy re-encryption functions in a domestic algorithm environment are realized on the basis of ensuring the system security. As an elliptic curve public key cryptographic algorithm autonomously designed in China, the SM2 algorithm has the characteristics of public algorithm structure, high security, excellent calculation efficiency and the like.

The present application belongs to the field of highway engineering information technology, in particular to a multi-standard EBS decomposition method and system based on highway engineering design information, the method comprising the following steps: S1, obtaining highway engineering design results and extracting design data; S2, performing data conversion on the design data according to a configuration file to obtain structured intermediate data; S3, converting the structured intermediate data into one or more EBS standard data according to an EBS standard algorithm. Based on this idea, the efficiency of data delivery is greatly improved, and the difficulty of data import for designers is reduced, and designers no longer need to consider different EBS standards, and design data can quickly generate data of different EBS standards.

The invention relates to the field of data processing, in particular to a correlation analysis method for gas chromatography detection data, which comprises the following steps of: extracting peak shape characteristics of each peak, and constructing peak shape characteristic penalty terms among different peaks according to peak shape characteristic differences; and calculating the DTW distance of the local chromatograms to which the corresponding data points belong at the corresponding time point pairs by combining the difference condition between the corresponding signal intensities of the local chromatograms to which the different data points are located at the time point pairs and a dynamic time warping algorithm. Aiming at the peak overlapping problem of a standard DTW algorithm in gas chromatographic data correlation analysis, the sensitivity of the DTW algorithm to the peak shape characteristics is improved by introducing a self-adaptive multi-characteristic fusion penalty term based on the peak shape characteristics in distance calculation, so that the contribution of different compounds in overlapped peaks can be distinguished more accurately, and the accuracy of the gas chromatographic data correlation analysis is improved. Therefore, the correlation between the compounds is evaluated more accurately, and the influence of peak overlapping on a correlation analysis result is reduced.

This invention relates to the field of digital urban planning and intelligent path optimization technology, and discloses a method for optimizing urban path network replacement points based on an improved Dijkstra algorithm. First, a county-level facility-road network coupled graph model is constructed, and facility load levels and population weights are labeled. The standard Dijkstra algorithm is used to calculate the initial coverage rate and load rate. Based on the load level and coverage blind spots, a load-blind spot coupled gravitational field model is constructed, and AI adaptive weights are used to generate candidate replacement point heatmaps. Coverage gain, blind spot attraction, and load diversion factors are introduced to construct a multi-dimensional cost function for the improved Dijkstra algorithm, and the coefficients are dynamically adjusted using AI adaptive weights. The comprehensive cost is calculated by traversing the candidate points, and the point with the minimum comprehensive cost is selected as the optimal replacement point. The process is iterated until a termination condition is met, and then the solution is output. This solves the problem of not being able to automatically locate the optimal replacement point position that balances coverage improvement and load diversion.

A reinforcement learning method for real-time control security of distribution networks based on quadratic programming includes the following steps: Offline training of the DRL agent: Constructing a DRL agent using the Actor-Critic algorithm architecture, modeling the distribution network optimization control problem as a Markov decision process, defining the state space, action space, and multi-objective reward function, and training the DRL agent for distribution network optimization control through multiple rounds of exploration and learning in a simulation environment; Online execution and immediate safety correction. Through rapid checking supported by a physical model and quadratic programming correction, provable mathematical safety guarantees are provided for each online control action, fundamentally solving the core problem that standard DRL algorithms cannot inherently guarantee that actions meet the physical safety constraints of the power grid. This method, while ensuring the decision-making speed and policy autonomy of the DRL agent, generates reliable and safe actions in real time, achieving computationally efficient and automatically intervened real-time safety control of the distribution network.

The embodiment of the invention provides an electromechanical simulation environment construction method and device, computer equipment and a medium, and the method comprises the following steps: generating a configuration description file, and programming the configuration description file to an embedded computer; obtaining core algorithm data, packaging the core algorithm data, transmitting the packaged core algorithm data to the embedded computer, and obtaining standard algorithm data and programming the standard algorithm data to the embedded computer; the excitation system is connected with an airborne software interface protocol through the Ethernet, and the embedded computer is connected with the excitation system through the Ethernet; bus data are transmitted to an embedded computer through an excitation system by means of an airborne software interface protocol; and receiving a simulation instruction from the excitation system through a debugging signal interface device of the embedded computer, and sending state simulation result data generated by the embedded computer to the excitation system. According to the scheme, the electromechanical simulation environment is constructed, so that the operation conditions of the electromechanical system under various flight conditions and system states are effectively simulated.

The application discloses a scheduling control method for automatic transmission clutch input rotating speed regulation, and comprises the following steps: 1, algorithm software receives signals; 2, identifying the running condition when the clutch input rotating speed needs to be regulated: the algorithm software identifies the current running condition according to the positive and negative values of the power source torque, the positive and negative changes of the power source torque value, whether the clutch input rotating speed needs to be up-regulated or down-regulated, and whether the clutch input rotating speed regulation needs to cross the current shaft rotating speed; 3, reading the preset configuration: the algorithm software will be pre-configured with the standard algorithm selected according to all the conditions in step 2, and all the configurations will be read in this step; 4, according to the condition identified in step 2, the standard algorithm used is calculated by using the configuration in step 3, and then the standard algorithm in the standard library is called to regulate the speed. The application realizes the decoupling of the running condition control and the speed regulation algorithm when the clutch input rotating speed needs to be regulated.

The invention relates to the technical field of artificial intelligence and engineering project management, and particularly discloses a project group performance intelligent assessment method and device. The method is especially suitable for a project group management scene, and examination work is carried out from multiple dimensions of task completion, organization coordination, cross-project collaboration, research, development, innovation and the like. The method comprises the following steps: acquiring three types of basic data including characters, images and structured data; semantic decoding is carried out through a large language model, image recognition is carried out through a convolutional neural network, structured data is processed through a standardized algorithm, and multi-source data preprocessing is achieved; extracting static features based on a multi-layer sensing network, and extracting dynamic time sequence features based on a long short-term memory network; and a big language model is utilized to generate an interpretive performance comment, and finally a comprehensive assessment report is output. The system is fused with a multi-mode AI model, has high scoring accuracy and high interpretability, and is particularly suitable for intelligent performance evaluation under a multi-project collaborative management situation.

This paper proposes a baseline-length-constrained high-precision relative positioning method for BeiDou, comprising the following steps: First, establishing a double-difference relative positioning model using the pseudorange and carrier phase raw observations of the reference station and the rover station; Second, obtaining a strictly baseline-length-constrained objective function based on the double-difference relative positioning model according to the least squares criterion; Third, employing an integer ambiguity search space amplification strategy to achieve effective ambiguity search, and accurately estimating the rover station's position relative to the reference station. This invention utilizes the often underutilized baseline length information of dual antennas in real-world scenarios to improve the relative positioning solution performance, exhibiting higher reliability compared to the traditional unconstrained case. The method employs an integer ambiguity search space amplification strategy, thereby extending the standard LAMBDA algorithm to baseline-length-constrained relative positioning, achieving effective integer ambiguity search.

The application provides a diffusion model driven image three-dimensional reconstruction method, system and medium, the method comprising: acquiring an input RGB image, generating a multi-view image consistent with the input RGB image based on a conditional diffusion model; extracting a dense point cloud from the multi-view image based on a standard MVS algorithm, preprocessing the dense point cloud to obtain a preprocessed dense point cloud; spatially projecting any two images of different views based on the preprocessed dense point cloud to obtain projection coordinates; constructing a geometric consistency loss function, analyzing the projection coordinates based on the geometric consistency loss function, and calculating the projection error of different views; correcting the projection coordinates to obtain a reconstructed image; by generating consistent multi-view images, combining the standard MVS algorithm to obtain accurate point cloud data, and further introducing a geometric consistency loss function to constrain the three-dimensional projection logic between generated images, the modeling accuracy and stability are significantly improved.

The present application relates to the technical field of energy storage, and provides a three-phase active power independent configuration method for a converter based on a minimum norm solution, constructs the correlation between three-phase current and voltage, establishes a linear equation set according to the KCL current constraint condition and the correlation, solves the linear equation set through a minimum norm solution standard algorithm, generates three-phase current sine reference values based on the output angle of a grid phase-locked loop, separates positive and negative sequence components through a signal delay method, obtains positive and negative sequence voltages by using a double-current loop feedforward decoupling control algorithm, generates voltage values through Park inverse transformation, generates PWM signals to drive the conduction or turn-off of converter power switching tubes according to the voltage values, and outputs three-phase voltages. The present application realizes independent and flexible configuration of three-phase active power and automatic minimization of reactive power, guarantees the real-time performance of control and engineering compatibility, adapts to complex scenarios such as distributed energy access and unbalanced load compensation, and improves the stability of power grid operation and energy utilization efficiency.

The application relates to the field of encrypted data collaborative processing, and discloses a privacy protection-oriented encrypted data collaborative processing system and method, wherein the privacy protection-oriented encrypted data collaborative processing method comprises the following steps: converting clear data of each subject into cipher text through secure multi-party computation, and accessing a system through a trusted execution environment; performing parallel computation on the cipher text data through a privacy computation special acceleration chip of a Chiplet architecture; combining a chip and a software platform to integrate a national encryption algorithm, an international standard algorithm and a federal learning framework, and constructing a cipher text computation processing environment; uniformly scheduling chip and memory resources through a privacy computation all-in-one machine server, forming a cipher text computation resource pool; homomorphically decrypting the computation result, and outputting the decrypted data to a user through a unified operation interface and a data flow circulation platform to generate a decrypted structured data set. The application has the advantages of improving computation efficiency and reducing operation cost.

The invention belongs to the technical field of aviation maintenance management, and discloses an airplane regular maintenance dispatching method, system and device, and the method comprises the steps: carrying out the staged processing of a maintenance task; dynamic construction of maintenance worker features; performing intelligent dispatching calculation; task execution and feedback: dynamically constructing maintenance worker portraits including authorization, work types, belonging areas, work content preferences and stage preferences, and combining with an improved weighted distribution algorithm to realize task matching, so that accurate adaptation of maintenance worker qualification, areas and task requirements is ensured; the method is advantaged in that the work content preference value and the stage preference value are utilized to improve the matching degree of the personnel and the task, the rework rate caused by mismatching of the personnel and the task is reduced, a traditional dispatching mode depending on artificial experience is converted into a standardized algorithm, dispatching efficiency fluctuation caused by empirical personnel loss is avoided, and enterprise high-salary talent retention cost is reduced.

The invention relates to the field of data management systems, and discloses a system for oil static metering calculation, data management and inventory checking, which comprises a data access and preprocessing module which can receive liquid level height, temperature and density original data transmitted by float-type, ultrasonic-type, radar-type and other external acquisition equipment through industrial communication protocols such as Modbus, 485 bus and the like. GB / T1885-1998 and GB / T19779-2005 national standard algorithms and API American standard algorithms are built in the system, calculation standards can be switched according to needs, a temperature compensation algorithm can be automatically adapted according to oil types, national metering specifications are strictly followed, personal errors caused by manual calculation are avoided, meanwhile, outrange data can be intercepted through a data validity verification function, abnormal data do not participate in calculation, and the system is high in reliability and high in reliability. It is ensured that the metering result is accurate and meets the industrial compliance requirement, and the problems that traditional manual measurement is limited in accuracy and not uniform in standard are solved.

The application provides a FFT acceleration and MIMO-OFDM four-dimensional sensing method with off-grid refinement, and belongs to the technical field of integrated sensing and communication. In order to solve the problems that the standard OMP algorithm has too large joint estimation calculation complexity in MIMO-OFDM echo sensing, and the estimation accuracy is limited to a grid, the steps of the application include the following steps: S1, OFDM echo preprocessing; S2, initializing an iteration control quantity; S3, performing fast dictionary matching to obtain an initial coarse estimation value; S4, refining the estimation value; S5, eliminating a residual error; S6, judging whether an iteration stopping condition is met; if the iteration is stopped, S7 is executed; otherwise, S3 is executed; and S7, outputting a four-dimensional sensing result.

The application provides a tunnel surrounding rock dynamic grading and early warning method and related equipment, through integration of two types of core data sources of static basic data and dynamic monitoring data, overall coverage of geological information is realized; with the aid of the space-time correlation binding mechanism of mileage coordinates and time stamps, the information barrier between static data and dynamic data is broken, ensuring accurate correspondence of different dimension data in spatial position and time dimension, providing a unified data basis for subsequent grading calculation; based on the dynamic weight distribution mechanism of the construction stage, the grading calculation can adapt to the geological characteristics in different periods of tunnel construction, the dynamic update of the quality grade of each tunnel segment surrounding rock is realized through the preset grading standard algorithm, the technical difficulty that the traditional fixed weight grading method cannot adapt to the dynamic evolution of surrounding rock in the whole construction process is solved, and the timeliness and accuracy of surrounding rock grading are significantly improved.

The application provides a model-driven algorithm test method, system, computer and storage medium, which comprises the following steps: normalizing non-standard algorithm requirements to generate a structured algorithm requirement document; based on the normalized algorithm requirement document, using a large language model to generate test data information meeting the test sufficiency requirement; parsing the algorithm source code structure corresponding to the algorithm requirement to construct a meta-model of the algorithm under test; loading the meta-model of the algorithm under test and importing the test data information to complete the conversion from the meta-model to an instantiated test model, forming a test case set; based on an extensible stylesheet transformation language template, batch converting the test case set into an executable test script; and executing the test script in an algorithm test engine. Through the model-driven test technology and the algorithm test engine, the automatic verification of the test case is completed and the test result is collected, thereby effectively improving the intelligentization and automation level of the algorithm test.