881results about How to "Quick build" patented technology

The invention provides a business process construction method combining a workflow engine and a dynamic form, which relates to the technical field of low-code platforms, and comprises the following steps of: establishing a data table according to a business, selecting and importing the data table in a code generation module, generating a basic code package, re-operating a main program compiling code package and loading the code package to a JVM (Java Virtual Machine) operating environment; creating a dynamic form on the basis of the entity class information of the code package through a visual form designer of the dynamic form module, and outputting dynamic form configuration in a JSON (JavaScript Object Notation) format; according to the method, the dynamic form and the process engine are combined, highly flexible business process design can be realized, a user can dynamically design the form and the process model as required to meet different business requirements, and the user-defined component can be designed according to a business data structure and common functions, so that the form can better adapt to a specific business scene, and the user experience is improved. And the user experience and the working efficiency are improved.

The invention relates to the technical field of power distribution station control, in particular to a reactive power optimization control system of a power distribution station. Comprising a power distribution station data acquisition module, a reactive prediction module, an optimization decision module, a distributed cooperative control module and a monitoring interaction module. The power distribution station data acquisition module acquires parameters such as voltage and current and guarantees data integrity; the reactive power prediction module performs modeling based on a graph neural network and generates a prediction report; the optimization decision module adopts a differential evolution algorithm to generate an optimal compensation scheme; the distributed cooperative control module realizes cooperation between devices through fractional calculus; and the monitoring interaction module realizes equipment diagnosis, aging prediction and dynamic feedback. Through an advanced algorithm and a cooperative control technology, high efficiency, reliability and intelligence of reactive power optimization control of the power distribution station are realized, and the operation efficiency and reliability of the power distribution station are improved.

The invention relates to a concrete surface crack detection method and system based on a machine learning algorithm, and the method comprises the steps: obtaining concrete wave velocity, frequency, amplitude, strength, elastic modulus, temperature and linear expansion coefficient, analyzing characteristic parameters, building a mathematical relation model, fitting data through a machine learning algorithm, determining model parameters, and calculating the concrete surface crack detection result. Relevant parameters of to-be-detected concrete are input into the multi-parameter digital quantity plate model, the model calculates potential risks and predicted values of cracks, the multi-parameter digital quantity plate model is applied to real-time detection of the concrete structure to achieve quality evaluation and crack prediction, the concrete structure is monitored regularly, and model data are updated; the system comprises a data acquisition module, a data preprocessing module, a feature extraction module, a crack measurement module, a multi-parameter digital quantity board model establishment module, a multi-parameter comprehensive analysis module, a real-time monitoring and early warning module, a database management module and a user interface and interaction module.

The invention provides a relatively controllable video generation system based on an AIGC large model, and relates to the technical field of video generation, and the system comprises a user input module which is used for receiving a demand of a needed video input by a user; the language construction module is used for generating a video character script based on a large language model according to a demand input by a user; the graph generation module is used for generating a static image of a video scene according to the video character script; the image-to-video module is used for converting the static image into a dynamic video shot; and the video generation module is used for combining the plurality of dynamic video shots into a complete video. According to the relatively controllable video generation system based on the AIGC large model provided by the invention, the video is quickly generated based on the AIGC, the video production efficiency is improved, and a plurality of software platforms do not need to be switched for use.

The invention discloses a multi-agent path planning method, device and equipment, and the method comprises the steps: dividing a map according to first grids of a preset size, carrying out the global planning of all agents on the map, and generating a global path, the global path being a road section passing through a plurality of first grids from a starting point to a target point; on the basis of each path section of the global path, local planning is conducted on all agents, a local path is generated, and each path section is a road section formed by the center points of every two adjacent first grids; real-time data are obtained by monitoring changes of dynamic obstacles and dynamic targets in a map in real time, and the local path and / or the local path are / is updated and planned according to the real-time data to obtain an updated path. Potential collision risks can be quickly found, obstacle avoidance measures can be taken in time, and the safety of a multi-agent system and the smooth completion rate of tasks are improved.

The invention provides a large model service system and method, computer equipment and a readable storage medium. A cue word engineering module configures a cue word template; generating a target text according to the prompt word selected by the user; the retrieval enhancement generation module receives a basic text uploaded by a user, converts the basic text into word vectors, stores the word vectors in a database, and retrieves prompt words from the database according to question information input by the user to generate a target text; the plug-in development module receives the configuration file, analyzes the configuration file to obtain API interface information, calls extended data to retrieve cue words, and generates a target text based on the cue words; and the agent module defines the execution combination and sequence of the cue word engineering module, the retrieval enhancement generation module and the plug-in development module according to the user-defined operation of the user on the system execution chain. By adopting the method, the flexibility of large model service, the efficiency of model retrieval and the safety of model service are improved, diversified business scene requirements are further met, and the user experience is improved.

The invention belongs to the technical field of new energy, and particularly relates to a building configuration method and system for an energy storage system, and the method comprises the steps: obtaining the configuration information of a data collection interface at regular time, and transmitting a message supported by the current communication configuration to the data collection interface, thereby obtaining a connection device; based on the communication parameters of the new access device, searching a communication protocol corresponding to the new access device to obtain the type of the new access device, constructing a device identification instruction to execute query operation, obtaining and analyzing response information returned by the new access device, performing matching identification on the response information and device information in a local communication protocol library, and sending the response information to the local communication protocol library; searching all measuring points of the new access equipment to obtain measuring point data types and measuring point data access permissions, and constructing a measuring point data set; and taking the measuring point data set and the access interface information of the new access equipment as input parameters, calling a local controller configuration program of the energy storage system to perform automatic application of communication configuration, obtaining final communication configuration information and equipment information, and generating a configuration file.

The invention discloses an encryption method and device for industrial internet data exchange, equipment and a medium, and relates to the technical field of industrial information security, and the encryption method comprises the following steps: generating a pair of public key and private key for industrial equipment or nodes preliminarily participating in data exchange by using an elliptic curve ECDH protocol, and carrying out initialized key exchange; generating a temporary additional key, and calculating a temporary session key; encrypting the temporary session key by using a public key of a receiver to obtain a session key, and processing data according to different stages of data exchange; and when each session ends or a preset time / data volume threshold is reached, automatically discarding the old key and renewedly negotiating a new session key. According to the method, resource consumption in the key exchange process is reduced, potential safety hazards possibly caused by key reuse or long-term key fixation are reduced, the attack resistance of the data exchange process is improved, the confidentiality and integrity of data exchange are guaranteed, and a continuous and safe environment is constructed for data exchange of the industrial internet.

The invention relates to the technical field of big data, and discloses an AI computing power resource remote calling framework and a big data direct connection method. The AI computing power resource remote calling framework comprises an interaction layer and a resource layer; the interaction layer is used for interacting with a user application on a user side, and the user application adopts a programming mode and calls the AI computing power service of the resource layer through an API interface provided by the interaction layer to execute model training or model reasoning; and the resource layer is used for bearing and managing AI computing power resources and scheduling the AI computing power resources through an AI computing power service to execute model reasoning or model training. Layered design is adopted, development and application scenes which are more convenient and easier to use are provided for computing resource users and AI development users, remote calling of the AI computing power resources is achieved through dynamic scheduling of the AI computing power resources, the framework can be deployed on multi-heterogeneous computing power platforms such as a cloud end, an edge end and an equipment end in practical application, and the framework is easy to popularize. And the expandability and scalability of the AI computing power resource platform are further improved.

The invention belongs to the technical field of civil engineering materials, and provides an early-strength high-fluidity geopolymer grouting material and a preparation method thereof. The method comprises the following steps: firstly, carrying out heat treatment and chemical regulation on fly ash and granulated blast furnace slag to generate a pre-reaction phase with high reaction activity, and improving the alkali excitation reaction efficiency; then, by preparing a lubricating particle dispersion liquid and utilizing the synergistic effect of a silane coupling agent and interface lubricating particles, the uniform dispersity of the particles is enhanced; by adding the ionic liquid and the functionalized acylamino polymer, the dissolution and activation of the aluminosilicate are accelerated by utilizing the high polarity, the ion shielding effect and the dissolution enhancing performance of the ionic liquid; meanwhile, the amido polymer inhibits particle aggregation and stabilizes the particle dispersion state through the adsorption effect, the amido polymer and the amido polymer cooperate to form a lubricating layer in the slurry, reduce the viscosity of the slurry and improve the fluidity, and the early strength of the material is further improved by accelerating the generation of a gel phase.

The invention belongs to the technical field of semiconductor manufacturing, and particularly relates to an ultraviolet light catalysis assisted gallium nitride wafer polishing method which comprises the following steps: S1, fixing a ground and flushed gallium nitride wafer on a clamp of a polishing machine; s2, the sealed cabin of the polishing machine is vacuumized until the vacuum degree reaches a set vacuum degree threshold value, and then the sealed cabin is filled with oxygen until the pressure value of the oxygen in the sealed cabin reaches a set pressure threshold value; s3, an ultraviolet lamp and a heater are turned on, the ultraviolet lamp irradiates the polishing solution, the heater heats the polishing solution to a set temperature and keeps the temperature constant, and then the polishing machine is started to polish the gallium nitride wafer; and S4, cleaning the polished gallium nitride wafer. According to the method, the oxidation rate is increased, and the polishing efficiency of the gallium nitride wafer is further improved.

The invention provides a strong real-time radar signal processing system, and the system comprises the steps: receiving strong real-time beam data and radar working parameters through a front-end processing module, processing the strong real-time beam data to obtain first beam data, and storing the first beam data and the radar working parameters in a CPU blade; the CPU blade receives the first beam data and the radar working parameters, and sends the first beam data and the radar working parameters to the GPU blade; the GPU blade receives the first beam data and the radar working parameters, processes the first beam data and the radar working parameters to obtain multiple groups of beam detection data, and sends the multiple groups of beam detection data to the CPU blade; the CPU blade receives and processes multiple groups of beam detection data to obtain a trace point report, and sends the trace point report to the target equipment, compared with a traditional FPGA + DSP processing architecture, the method has the advantages of being fast in development process, high in program transportability, low in cost and the like.

The invention discloses a visual guide type tracheal intubation mirror system, relates to the technical field of guide type tracheal intubation mirrors, and aims to solve the problem of poor treatment effect of tracheal intubation. The constructed environment model not only comprises the diameter and the bending degree of the trachea, but also considers the surrounding tissue structure, so that a doctor can more comprehensively know the trachea and the surrounding environment of the trachea so as to make a more accurate decision, and the depth and angle information in the video image data is combined, so that the visual effect is improved. The real-time three-dimensional attitude of the intubation lens is estimated, the perception precision of the position and attitude of the intubation lens is improved, misoperation can be avoided, the structured light scanning method is combined with depth information and image coordinates for reconstruction, and compared with a traditional method, a three-dimensional model can be generated more quickly, the data quality of video data can be monitored in real time, and the real-time three-dimensional attitude of the intubation lens can be monitored more accurately. And the accuracy and stability of data are ensured. Therefore, data quality problems can be found and solved in time, and errors in subsequent diagnosis or treatment are avoided.

The invention provides an express cabinet unit, and belongs to the technical field of express cabinets. The technical problems that an existing express cabinet is unstable in structure, high in cost and the like due to the fact that single cabinet bodies serve as small units to be stacked are solved. The express cabinet unit comprises a plurality of laminates, the laminates are vertically arranged in a layered mode and are rectangular, a back plate and two side plates are arranged between every two adjacent laminates, the two side plates are connected to the two sides of the adjacent laminates respectively, the back plate is connected to the rear sides of the adjacent laminates, and a supporting partition plate is further arranged between every two adjacent laminates. The supporting partition plate divides the space between the adjacent layer plates into two express storage cavities, and each express storage cavity is correspondingly provided with a door plate. The device has the advantages of structural stability and cost saving. The combined express cabinet comprises at least two express cabinet units, and the bottom plates of the two express cabinet units are connected with each other. The method has the advantage of being capable of being rapidly built.

The invention discloses a wind power equipment fault diagnosis optimization algorithm, and belongs to the field of wind power equipment management, and the optimization algorithm comprises the following specific steps: I, collecting and preprocessing various operation data of wind power equipment; iI, constructing an equipment fault map and carrying out feature extraction on the preprocessed data; iII, performing fault diagnosis and classification on the real-time data based on the equipment fault atlas; iV, optimizing a fault processing scheme according to the diagnosed fault and the type thereof; v, evaluating the probability of fault occurrence and formulating a corresponding early warning mechanism; according to the method, local optimum can be avoided, the effectiveness of a fault processing scheme is improved, the flexibility and adaptability of the scheme are enhanced, a feasible solution can be quickly generated, the method is suitable for large-scale data processing, the accuracy of fault probability evaluation is improved, comprehensive fault occurrence probability analysis is provided, targeted maintenance strategies are helped to be formulated, and the method is suitable for large-scale data processing. Resource configuration can be optimized, potential faults can be responded in time, the downtime of equipment is shortened, and the operation cost is reduced.

The invention discloses an automation method and system for an ADAS simulation test, and the method comprises the steps: generating a simulation test scene extraction signal value configuration file and a test case configuration file in a preset format according to a test case metadata file; generating a test case set file according to the test case configuration file; loading the test case set file in a test library DYNA4 project of the DYNA4 software; executing a simulation test based on the simulation test scene file and the test case set file in the test library DYNA4 project, and generating a simulation test result file; and extracting the signal value configuration file according to the simulation test scene, extracting the expected signal real-time numerical value and the expected signal numerical value from the simulation test result file, and judging whether the test case passes or fails according to a comparison result. According to the method, automation of the ADAS simulation test process can be achieved, setting and execution of a large number of test cases are completed in a short time, complex configuration scripts do not need to be written manually, and the operation process is simplified.

The invention provides a low-code development platform construction method based on a data service modeling engine, and belongs to the technical field of low-code development, and the method comprises the steps: obtaining an engine application scene, determining an existing user group according to the engine application scene, determining a corresponding existing demand, and constructing a low-code development platform. The method comprises the following steps of: obtaining a core function of the platform, disassembling the core function to obtain a plurality of sub-functions, developing a data model according to the sub-functions, constructing an overall framework of the low-code development platform, performing dependency relationship analysis on the data model, integrating the data model, and determining a business model by combining the overall framework and an integration result; the application scene template is selected based on the business model, the template parameter is configured, the data field in the business model and the template parameter are mapped, and the business model is published to the low-code development platform, so that the development efficiency is improved, non-technical users can quickly construct and publish the application and flexibly cope with the change of business requirements; and innovation and response speed are promoted.

The invention provides an image segmentation model training method and device, equipment and a storage medium, and the method comprises the steps: carrying out the merging of a foreground image, mask information and a background image, obtaining a first annotation image, generating annotation information for an original image according to a target detector and a first segmentation model, obtaining a second annotation image, generating a high-confidence first training dataset and a low-confidence second training dataset according to the first annotation image and the second annotation image, training based on the first training dataset to obtain a target teacher model, and then segmenting the second training dataset through the target teacher model to obtain a third training dataset; and finally training a student model according to the third training data set to obtain a target image segmentation model. According to the method and the device, the utilization rate of the training data is effectively improved in a low-resource scene, and high-reliability labeling information is automatically added to the image.

The invention discloses a form and data visual display method and system based on a low-code platform, and belongs to the technical field of software development, and the method is implemented by the following steps of: visually creating a form, and providing a core component for creating the form based on a webpage draggable technology so as to create a complete form meeting business requirements; the drag configuration comprises form layout configuration and form item configuration; persisting the form, storing configuration data of the form in a database, materializing a table structure, and storing a JSON object of configuration of the form; setting a form data model; setting access authority; accessing by a form filling person; performing dynamic rendering; and storing the filling data of the form filling person. According to the method, a large amount of repeated work can be solved, more concerned services can be developed, the efficiency can be quickly improved, the research and development cost can be saved, and meanwhile flexibility is kept.

The invention relates to the technical field of maritime ship target beyond visual range monitoring, in particular to a compact type ground wave radar maritime ship track prediction method and system. AIS track data are obtained and converted into distance, speed and azimuth angles under a radar coordinate system to serve as characteristic parameters; the multi-dimensional target features which are segmented into n historical time steps through preprocessing and a sliding window serve as input of a prediction model, and the model outputs a prediction result of a future single time step; in the prediction model, each encoder layer extracts time sequence features of different depths from input features, and modeling is performed on the time sequence features by using a plurality of different attention mechanisms; and the output of the last layer of encoder passes through a linear mapping layer, and the high-dimensional time sequence representation is converted into the output prediction characteristics of the future time step. The multi-head self-attention mechanism is utilized to dynamically distribute the weights of the multi-dimensional target features, the complex association among different features is captured, the relationship among different time steps is analyzed from multiple angles, and the anti-interference capability is enhanced.

The invention discloses a method for automatically testing an interface based on RPA. The method comprises the following steps: making a test plan; building a test framework; compiling a test script; performing integrated testing; executing the test script; analyzing a test result; and maintaining the test script. Based on an RPA tool, through a graphical interface and predefined operation, a tester can create an automatic test script without writing any code, and the tester can define a complex test process only through simple dragging, clicking and configuration; an RPA tool is generally designed to be visual and easy to use, even a tester without any programming experience can quickly master the RPA tool, and the tester can master the basic skill of automatic testing through simple training and practice; the RPA has a unique verification mode for the login system needing to be verified, targeted system verification can be carried out, and the login interface can obtain the token conveniently.

The invention relates to the technical field of nano-materials, in particular to a CeO2 nano-enzyme with controllable surface performance as well as a preparation method and application of the CeO2 nano-enzyme. The preparation method comprises the following steps: preparing a CeMOFs precursor by using a solvent-free method; the CeMOFs precursor is subjected to thermal activation treatment, and the CeO2 nano-enzyme with the controllable surface performance is obtained; the invention also provides an application of the CeO2 nano enzyme in the detection of organophosphorus ester compounds. CeMOFs are synthesized through a direct pyrolysis solvent-free method, then CeO2 with high phosphatase sample activity is prepared, and a sensitive colorimetric method is provided for evaluating the degree of organic phosphorus pollution to food and environmental water samples.

The invention discloses a low-code platform development method and a low-code platform system, and belongs to the technical field of software development, the overall architecture design of a low-code platform is carried out based on Vue2 and TypeScript, and the method comprises the combination of modularization, data management and visual editing function modules; the system comprises a component management module which comprises a component library and user-defined component management; the visual editor is used for realizing real-time layout adjustment and attribute configuration; the user previews the modification effect in real time by dragging and adjusting the position, the size and the hierarchical relationship of the component; the data management module is used for realizing data binding, API integration and dynamic data management; and the performance optimization module comprises a virtual DOM (Document Object Model) optimization and on-demand loading mechanism. The invention provides a development environment which is high in expandability and easy to use. A complex coding process is simplified into visual operation, and cooperation between developers and non-technical users is promoted.

The invention relates to a voucher template generation method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring voucher entry line information and candidate document field information corresponding to a target document type; determining a target document field matched with the voucher entry line information from the candidate document field information through a first semantic understanding model; obtaining target field content of the target document field; inputting the candidate document field information, the voucher entry line information and the target field content into a second semantic understanding model, and outputting a first mapping condition between a target voucher subject in the voucher entry line information and the target field content; and generating a voucher template corresponding to the target document type based on the first mapping condition. By adopting the method, the efficiency of generating the voucher template can be improved.

The utility model relates to a concrete modular building suitable for old community reconstruction, which comprises a plurality of concrete modules divided from the same floor space according to different indoor space functions, and a plurality of prefabricated parts divided from a public area according to functions, wherein the prefabricated part comprises a shear wall, a first pouring cavity is formed in the shear wall, and a second pouring cavity is formed between the adjacent concrete modules corresponding to the shear position in the floor space and / or between the adjacent prefabricated part and the concrete module; according to the invention, concrete can be poured in the first pouring cavity and the second pouring cavity so as to form a shear area of the floor, and the shear area can be combined with the corresponding concrete module and / or prefabricated part into a whole by pouring the concrete in the preset first pouring cavity and the second pouring cavity in situ so as to form the shear area of the floor. And the consistency of the shearing force area, the prefabricated parts and the concrete modules is improved, so that the overall strength of the modular building is improved, and the anti-seismic effect is improved.

The invention discloses a three-dimensional reconstruction method, system and device for an extra-high voltage power transmission and transformation line, and belongs to the technical field of point cloud reconstruction. The three-dimensional reconstruction method comprises the following steps: placing a laser radar along the extra-high voltage power transmission and transformation line to obtain point cloud data of the extra-high voltage power transmission and transformation line; rTK positioning software is placed at the laser radar and the selected reference point to obtain longitude, latitude and height coordinate data; correcting and filtering the obtained point cloud data and longitude and latitude coordinate data of the extra-high voltage power transmission and transformation line; splicing the filtered extra-high voltage power transmission and transformation line point cloud data, and constructing a preliminary reconstruction model; performing point cloud segmentation on the preliminary reconstruction model by using a region growing algorithm, and extracting incomplete power transmission tower point clouds in the preliminary reconstruction model; acquiring three-dimensional models of different types of required power transmission towers, and constructing a standard model library; and matching the incomplete point cloud of the power transmission tower with the constructed standard model library, and placing a matched three-dimensional model in a scene to realize complete point cloud reconstruction.

The invention relates to the technical field of agricultural automatic driving, in particular to a coarse-to-fine agricultural aerial survey path generation method and system. The method comprises the following steps: acquiring an orthographic aerial survey image generated by aerial survey of an unmanned aerial vehicle; carrying out image segmentation on the obtained orthographic aerial survey image, and carrying out crude extraction to obtain an operable area and a crop area; according to different operation types, an operation path and a transportation path are planned in the workable area; and the operation path and the transportation path are input into the agricultural robot, and full-autonomous operation is achieved. The method is extremely high in efficiency, and is very suitable for unmanned vehicle operation deployment in orchards or farmlands with ultra-large planting areas.

The invention discloses a processing method for rounding internal and external spline molded surfaces, which comprises the following steps of: S1, adopting a clamping mode of one clamping and one supporting or direct clamping, and clamping by designing an elastic bushing or a spline bushing; s2, aligning an external spline by designing a spline positioning ring, and machining by adopting a step-by-step method; s3, a spline bushing is designed based on the same principle in the step S2, and an internal spline is aligned; s4, designing a forming column milling cutter; s5, constructing a two-dimensional or three-dimensional spline model of the corresponding size; according to the method, the machining quality is high, and the reliability and stability of spline connection can be effectively improved.

The invention provides a full-size low-temperature medium outflow test system and an outflow test method. The system comprises a control system, an end socket, a storage tank, a conveying main pipeline, a pressure accumulator, a discharge pipeline, a filling pipeline, an air sealing pipeline, a pressurizing pipeline, a pressurizing tank, a liquid nitrogen filling tank car, a flow meter, a filling port, a regulating valve, a stop valve and an air sealing port. According to the system, a full-size test platform is built, low-temperature liquid nitrogen is used for replacing a low-temperature propellant, the working states of the pressurized conveying system under different flows and pressures are simulated, and the requirement that the system obtains the flowing performance closer to the real working condition through test examination under a low-temperature medium is met.

The invention discloses a battlefield semantic situation rapid generation method based on image analysis, and belongs to the technical field of battlefield situation generation. The method comprises the following steps: dividing a battlefield area into a plurality of local battlefields; reconnaissance is carried out on each local battlefield area; generating a multi-source heterogeneous image database; performing time-space relationship unification on the multi-source heterogeneous image database; constructing a battlefield situation element composition system; constructing a battlefield situation element extraction technology system; carrying out adaptive extraction on battlefield situation elements; generating a local battlefield situation; a global battlefield situation is generated based on the local battlefield situation. The invention provides a battlefield situation element extraction framework based on deep learning, designs a battlefield situation generation method based on deep learning, and provides a conflict situation fusion method and a battlefield region division method based on an attention mechanism and a complete space-time relationship unification mode. A whole set of battlefield semantic situation adaptive generation method is constructed, and decision-making assistance can be provided for direct commanders and fighters.