16 results about "Python language" patented technology

The invention discloses an automatic administrative boundary fusion charting method and a meteorological charting method based on a python language. Belongs to the technical field of meteorological charting, and particularly relates to the cross technical field of meteorological data processing and geographic information system visualization. The method starts with the construction of a multi-scale adaptive boundary fusion map, so as to solve the problems of cross-scale (such as province-to-village) precision faults and large interpolation errors of complex terrains, and achieve a cross-level administrative division boundary seamless aggregation technology (village level-town level-county level-province level). Therefore, the problem that precision is easy to lose when cross-scale conversion (such as from province to village) is carried out during meteorological mapping is solved.

The invention discloses an MJS reinforcement parameter optimization method based on finite element-neural network integration. The method comprises the following steps: firstly, constructing a finite element automatic modeling script system based on an ABAQUS platform, taking geological parameters and reinforcement preliminary design parameters of a construction area as input initial codes of automatic modeling, and then modifying different corresponding reinforcement parameters in the codes to realize parameterized modeling and batch model generation; reading and formatting strength and deformation results in a. Odb file output by a calculation result of the ABAQUS platform by utilizing Python, and fusing the strength and deformation results with on-site deformation monitoring data to form a unified database; then, constructing a forward modeling / inversion model based on PINNs by utilizing a Python language; performing preliminary prediction on site deformation by using the forward modeling model; continuously optimizing and updating the reinforcement design target parameters through the inversion model; and finally, comprehensively deciding and determining a foundation reinforcement parameter combination according to the calculation result of the forward / inversion model.

The invention relates to a fishing boat meteorological route planning system, and belongs to the field of meteorological route planning system construction. The system takes a layered structure as a main framework and is sequentially divided into a data source layer, a data processing layer, a supporting layer, an interaction layer, a front-end UI layer and an access layer from bottom to top; in the design of a front-end page, a Vue framework is adopted, Jave and Python languages are adopted for back-end codes, and a PostgreSQL database is adopted for a database end. And finally, the sea condition meteorological data and the course planning process and result are displayed on a front-end page of the system, and the data can also be transmitted to an Internet of Things platform to be displayed.

The application discloses a flood evolution analysis method based on instant compiling technology, mainly comprising the following steps: setting a hardware acceleration environment, specifying a calculation time and an iteration step length, loading a grid topological structure, an initial water level and an initial flow velocity, a grid roughness field and model boundary conditions, optimizing codes of a finite volume method and a HLLC shallow water equation solving algorithm based on instant compiling technology, and realizing parallel acceleration simulation of flood evolution. The method is written in Python language with strong interpretability to compile shallow water equation solving codes, and machine codes are generated by instant compiling technology during runtime to greatly improve code running efficiency. Different hardware platforms such as CPU, GPU or CUDA can be selected to perform parallel acceleration solving on the shallow water equation, simple and efficient simulation of flood evolution is realized, and the method has the advantages of strong code readability and high performance.

The application relates to a target detection algorithm test method and system based on a python language, and the method comprises the following steps: S1, a step of preparing test data, preparing a test picture needing target detection, and labeling the test picture to generate an xml file of corresponding coordinate points; S2, a step of uploading the test picture to an algorithm interface to obtain response data; S3, a step of reading xml labeling file data, drawing a green rectangular frame in the test picture by reading rectangular frame coordinate point data; writing the rectangular frame coordinate point data into a txt file and saving the txt file to a groundtruths expected result directory; S4, a step of saving test picture classification; S5, a step of counting test results; S6, a step of automatically sending an email, generating a test report after the test is completed, and the test report showing test case execution results; and automatically sending an email after the test is completed, wherein the email content comprises test description information and a test report, and the email is sent to a test person in charge.

The application discloses an industrial system mechanism modeling simulation platform, a unified system modeling simulation code system is constructed based on a Python language, a system identification model function library is constructed based on AI technology, and a dynamic model of a complex industrial system or equipment is identified through industrial big data; a general system modeling simulation environment is provided, a linear dynamic system and an artificial intelligence nonlinear dynamic model are incorporated into a unified modeling simulation system, visual combination modeling and industrial system simulation are carried out, and identification modeling simulation integration is supported; and the application is used for industrial system identification modeling simulation technology required by industrial internet and industrial intelligent construction, and provides a reliable system model for design of a high-end controller.

The present application relates to the technical field of wind power steel-concrete structure parameterization calculation, in particular to a Python language-based parameterized automatic modeling method for a tower structure Abaqus finite element model, which solves the problems of low efficiency, easy errors and difficult parameter adjustment of traditional manual modeling. The method comprises the following steps: reading geometric, material, modeling and load information in an Excel parameter file; automatically generating a concrete component, a steel wire body and a steel reinforcement cage; completing prestressed anchor cable system modeling; assembling each component and automatically assigning material and cross-section properties; finally performing mesh division, contact definition, boundary condition application and load loading, and saving a complete finite element model. The present application significantly improves modeling efficiency and consistency through full-process parameter driving and modular script architecture, supports flexible customization of a whole tower structure, and provides a high-reliability pre-processing scheme for complex structure simulation.

The application provides a test method for improving interface script coverage, which comprises the following steps: 1, real-time monitoring of data of a server production environment; 2, processing of the collected data, extraction and processing of different component particles, interface names, request methods and input parameters; 3, converting the processed data into a script in python language, and packaging the script to provide to a specific tester, the tester decompresses the packaged script file; 4, displaying the script on a webpage front end, and checking and modifying the project and sending the project to a specified jenkins server to execute the script; 5, generating a test report and sending a notification to a user after the script is executed; 6, analyzing the generated test report, comparing the executed interface in the test report with the historical test interface, counting the interfaces that have not been tested, and finally comparing the coverage rates before and after the test to obtain the improved coverage rate of this test.

The application provides a power engineering cost software cross-platform secondary development method, and relates to the field of software development.The method comprises the following steps: dividing a C++ original business module, preparing a to-be-generated header file, dividing the C++ original business module, preparing the to-be-generated header file, and forming information such as a header file, a link library dependency, and a link library directory of each module.Through the use of a path moving mechanism and an erasing mechanism, the existing C++ code function can be reused, and C++ objects and Python object data can be interchanged.The core of the method is to introduce Python language for secondary development, and the advantage lies in simple syntax, dynamic support, which can greatly improve the development efficiency, reduce the learning threshold, and simplify the cross-platform adaptation process.

The application relates to the technical field of access to an LDAP server. The method for processing an LDAP server based on python comprises the following steps: obtaining a structure and rules of a Schema required for accessing the LDAP server; establishing corresponding input structures and rules based on the structure and rules of the Schema, wherein the input structures and rules are established based on a python language; standardizing and packaging the input structures and rules to form a package, wherein the standardization packaging is provided with a corresponding preset filter for different types of users; and realizing the operation on information in the LDAP server through the data intercommunication between the package and the LDAP server. The method for processing an LDAP server based on python simplifies parameter requirements and reduces the use threshold by standardizing and assigning default values to parameters of input structures and rules.

The invention discloses an ethylene glycol project planning decision analysis system, and belongs to the field of project decision, and the system comprises a parameter input module which is used for receiving ethylene glycol project parameters inputted by a user and packaging the parameters through a Python language; the calculation module is connected with the parameter input module and used for calculating construction investment and operation cost based on the ethylene glycol project parameters; the economic index derivation module is connected with the calculation module and is used for calculating sales revenue and financial internal return rate; the calculation of the financial internal return rate comprises the following steps: constructing a dynamic cash flow model and solving by adopting a numerical analysis method; and the decision output module is used for comparing the financial internal return rate with a preset industry standard return rate and outputting a corresponding investment feasibility decision suggestion. According to the method, the Python language is introduced into the field of engineering economic analysis, an automatic decision-making tool containing core parameters is developed, and quantification of dynamic simulation and economic analysis of an investment scheme is achieved.

The invention provides a method for extracting physical page information from a kernel, which belongs to the technical field of memory page management, and comprises the following steps of: S1, dynamically loading a kernel mirror image and a kernel debugging symbol information table, analyzing by utilizing a drgn debugger, and reading data structure information of the kernel in operation; s2, compiling a drgn script through a python language, and extracting page information from the data structure information read in the step S1 through the drgn script; and S3, outputting the page information extracted in the step S2 in a structured form. According to the method, the function of automatically analyzing any physical page is realized by writing the python script on the basis of drgn and by utilizing the analysis capability of the drgn on a kernel symbol table and a data structure.

The application discloses a multi-tenant-oriented Python language remote checking service and debugging system and method in the technical field of program development auxiliary and debugging tool, and aims to effectively improve the development quality and debugging efficiency of a user's Python application program.In the application, a front-end module is used to send a request for starting a language checking service and a debugging service of an application to a back-end service container; the back-end service container is responsible for managing a hierarchical structure and program code of the application, responding to a request of a front-end for a language service and a debugging process of the application, mapping and binding a session between the front-end and a development container process, routing and forwarding a language service and a debugging message and the like; a database is used to save the hierarchical structure and the program code of the application; and a development container is used to run the language service and the debugging process and manage a process life cycle.The application effectively improves the development and debugging efficiency of the application program, and provides a good solution for the development and visual debugging of a multi-tenant Python application on a Web end.

The invention discloses a method for evaluating and relieving a third-party library API (Application Program Interface) incompatibility problem in large model code completion. The method comprises the following steps of: constructing a third-party library API knowledge base for a Python language third-party library; aiming at the problem that potential third-party library APIs in completion codes generated by a code completion system based on a large language model are incompatible in use, automation is carried out based on a third-party library API knowledge base; and a lightweight intervention mechanism is adopted to detect and repair an incompatibility problem in real time. According to the method, API change information is obtained through systematic analysis and version comparison of the third-party library APIs, incompatible use of the APIs is detected, and lightweight relief is achieved by dynamically injecting problem causes and API standard use information into cues; the API signature and real-time incompatibility detection service can be provided with extremely low performance overhead, and the development efficiency and the code reliability are practically improved.

The invention discloses a flood routing analysis method based on a just-in-time compiling technology, and the method mainly comprises the steps: setting a hardware acceleration environment, appointing calculation time and an iteration step length, loading a grid topological structure, an initial water level, an initial flow velocity, a grid roughness field and a model boundary condition, code optimization is performed on a finite volume method and an HLLC shallow water equation solving algorithm based on a just-in-time compiling technology, and parallel acceleration simulation of flood routing is realized. According to the method, a Python language with high interpretability is adopted to compile shallow water equation solving codes, the codes are generated into machine codes through an instant compiling technology during operation so as to greatly improve the code operation efficiency, different hardware platforms such as a CPU, a GPU or a CUDA can be selected to carry out parallel acceleration solving on the shallow water equation, simple and efficient simulation of flood routing is achieved, and the method is suitable for large-scale popularization and application. The method has the advantages of high code readability, high performance and the like.