7results about How to "Precise definition" patented technology

The invention discloses a river regulation data analysis management system and method based on artificial intelligence, and relates to the field of intelligent management, and the system comprises a main control module which is used for the general control of the data stream editing and instruction transmission of each function module; the water layer division module is used for defining and dividing a water layer of a target water area, dividing the water area into a plurality of independent water layers according to hydrological characteristics, and distributing a unique identifier for each water layer; the silt collection module is used for acquiring obstruction accumulation data in a specified water layer through a sensor network; the floating acquisition module is used for acquiring floating object coverage data in a specified water layer; fusion analysis is carried out on multi-dimensional and real-time collected data by using an artificial intelligence deep learning algorithm, and the deterioration risk probability of a specific period in the future can be output, so that a management department can identify a high-risk area and intervene in advance before a water quality or sedimentation problem actually occurs or deteriorates, and then the logic of river regulation is assisted to be changed.

This application provides an ion implantation method for a semiconductor structure, relating to the field of semiconductor technology. The semiconductor structure ion implantation method includes: providing a substrate having a deep trench; forming a first positive photoresist layer on the surface of the substrate; performing a first exposure using a first exposure dose to expose the first positive photoresist layer at the bottom of the deep trench; forming a second positive photoresist layer on the surface of the first positive photoresist layer; performing a second exposure using a second exposure dose less than the first exposure dose; performing a first development on the first and second positive photoresist layers to form an implantation window; and performing ion implantation on the substrate through the implantation window. This semiconductor structure ion implantation method addresses the problem of achieving precise ion implantation at the bottom of deep trenches in semiconductor devices.

The invention provides an ICD management method, system and device based on a model and a medium, and relates to the field of interface management, and the method comprises the steps: extracting and defining a function interface, a physical interface, a relation interface, an energy interface and a message interface based on a demand-driven RFLP architecture model; the method comprises the following steps: defining an airborne system modeling language ASML, integrating the ASML into a modeling tool, constructing a system architecture interface model, introducing meta-models into interfaces of different hierarchies as a core framework, and creating an interface definition template; based on the meta-model and a pre-constructed ICD data dictionary, defining an interface verification rule, and monitoring and verifying interface data; and performing version control on the model-based ICD management process, generating and updating a baseline version at a project milestone node, and outputting an ICD document in a standard format. According to the method, the standardization level, design efficiency and quality of airborne system ICD design are improved, and technical guarantee is provided for standardized design and management and control of complex system interfaces.

The application discloses a composite film material for a circuit board process, a preparation method of the composite film material, and a circuit board selective hole plugging method. The composite film material comprises a metal layer, a photosensitive layer arranged on a first surface of the metal layer, and a resin bonding layer arranged on a second surface of the metal layer. The resin bonding layer comprises an alkali-soluble resin and is used for bonding with the circuit board. The application uses the strong support of the metal layer and a specific formula design of the resin bonding layer to ensure that the film material can be cleaned and removed without residues by an alkaline solvent after experiencing an extreme heat process of 150 DEG C to 220 DEG C, and the yield and surface flatness of a selective hole plugging process of a high thickness-diameter ratio circuit board are significantly improved.

The invention relates to the technical field of generator set early warning, and discloses a generator set early warning method and system based on DCS data. The method comprises the steps that real-time data of DCS process variables of the generator set are collected, data subsets are divided according to operation conditions, and a dynamic self-adaptive reference contour is established for each subset; an instantaneous anomaly index is quantified by calculating a multi-dimensional distance between real-time data and a reference contour, and an accumulated situation index reflecting anomaly persistence is constructed. And identifying an early performance degradation mode by analyzing the growth slope and curvature change of the index, and accordingly, matching an early warning strategy and dynamically updating the reference contour. And finally, a comprehensive health degree score is generated, and self-adaptive early warning threshold adjustment is realized. According to the method, the problem of false alarm of a fixed threshold value under a variable working condition is effectively solved through the dynamic reference model, sensitive capture of early performance degradation symptoms is realized through deep analysis of an abnormal trend, and the accuracy and timeliness of early warning are improved.

This invention provides a reverse design method for wharf foundation piles based on multi-objective optimization, belonging to the field of civil engineering structural design technology. In the composite load space composed of vertical, horizontal loads, and bending moments, this invention uses a shape parameter vector containing dimensions and coupling coefficients to define and parameterize the target failure envelope. By performing numerical limit state analysis and fitting on design samples, the actual shape parameters are obtained. This is used to train a machine learning model that can quickly predict the shape of the corresponding envelope from the design parameters. Using the difference between the predicted shape and the target shape as the optimization objective, and combined with construction costs, the model is used to evaluate candidate designs. A multi-objective optimization algorithm is used iteratively to obtain a set of design parameters that optimally balance performance and cost. The selected design is verified through high-precision simulation. After confirming that its actual performance matches the target, the parameters and performance information are integrated into a standard digital file to directly drive automated construction.

This invention discloses a method and system for monitoring watershed ecological security based on big data. The method includes data acquisition, data preprocessing, watershed ecological environment monitoring, watershed ecosystem monitoring, hyperparameter optimization, and comprehensive watershed ecological monitoring. This invention belongs to the field of ecological security information processing technology, specifically a method and system for monitoring watershed ecological security based on big data. This solution creatively integrates ecological environment monitoring and ecosystem monitoring, improving the comprehensiveness and accuracy of watershed ecological security monitoring. It introduces adjacency domain similarity, standard deviation adjustment distance, and allocation coefficients to optimize the selection process of cluster centers, solving the technical problem of inaccurate watershed ecosystem monitoring results. It employs dynamic adaptation factors, opposing individuals, and individual symbiotic updates to improve the algorithm for obtaining optimal parameters of the monitoring model, obtaining the optimal parameter combination, improving the accuracy of the model output results, and making the watershed ecological environment monitoring results more precise.