22results about How to "Real-time analysis" patented technology

The application discloses a process device controlled state evaluation method and device and a storage medium. Firstly, time series data of each monitoring point is acquired, and a sliding window method is used to calculate a correlation coefficient matrix. Then, eigenvalue calculation is performed on the correlation coefficient matrix to obtain an eigenvalue vector at a current moment. Then, clustering analysis is performed on historical eigenvalues to determine the number of cluster centers, and clustering judgment is performed on the current eigenvalue vector. Finally, the eigenvalue vector of the current window, the clustering change vector of the trend window and the clustering count of the historical window are taken as inputs, an isolation forest algorithm is used for abnormal value judgment, and the current controlled state of the device is output. The application realizes comprehensive analysis and evaluation of real-time, trend and historical information, can more accurately judge the controlled state of the device compared with a traditional method, and improves the accuracy of state evaluation.

This application discloses a BIM-based automated design generation method for asphalt pavement structure combinations, comprising: constructing a rule base for asphalt pavement structure combination design schemes; automatically generating initial design schemes for pavement structure combinations based on the rule base; constructing a parametric model of the pavement structure based on BIM; establishing a data interaction module between the BIM model and simulation analysis software; analyzing and calculating the current pavement structure in the simulation analysis software to obtain response results; verifying the pavement structure design scheme based on BIM; analyzing and evaluating performance and economic indicators based on BIM; automatically generating the next set of schemes, iteratively optimizing to obtain a set of non-dominated solutions; and selecting the most suitable scheme for modeling. This application aims to achieve automatic generation, design, verification, and evaluation of road structure combinations in a BIM environment, helping designers explore the optimal road structure combination design schemes and improving design efficiency and quality.

The application provides a system and method for generating an index topology graph based on an analytical expression, and relates to the technical field of computer processing, comprising an index topology configuration module, a task scheduling module, an index calculation module and a data display module; the index topology configuration module is used for performing entity recognition analysis on a plurality of user input expression texts respectively to obtain corresponding index topology structures, and sending the index topology structures to the task scheduling module; the task scheduling module is used for creating tasks according to a preset scheduling rule to obtain corresponding index calculation tasks; the index calculation module is used for calculating task priorities according to all the index calculation tasks to obtain index priority calculation data; and the data display module is used for receiving the index priority calculation data and obtaining a target topology graph through the index priority calculation data. The application realizes improved topology graph generation efficiency.

The utility model discloses a high temperature vision camera, which comprises a vision camera, the bottom of a cylinder is provided with the vision camera, the cylinder is internally provided with a new film bin, a gear motor and a storage bin, the gear motor is arranged between the storage bin and the new film bin, the vision camera is arranged at the side edges of the storage bin and the new film bin, and the new film bin and the storage bin are internally provided with counting equipment. And the number of the high-temperature-resistant lenses placed in the new film bin and the storage bin is measured. According to the high-temperature vision camera, the protection lens is made of high-temperature-resistant glass and can be automatically replaced or replaced according to instructions, due to the structural design of the high-temperature vision camera, the application time of original high-temperature vision is prolonged by 100 times, the long-term and whole-course real-time technical requirements are met, production personnel can count according to unit lenses, and the production efficiency is improved. The working time for replacing the film bin is determined by combining the production rhythm, the film bin can be used for a long time in a high-temperature smoke environment, real-time shooting in the whole process can be achieved, and the high-temperature vision camera cannot be out of focus and has the dynamic focusing capacity.

The utility model relates to the field of SF6 gas micro-water density, and discloses auxiliary calibration equipment for an SF6 gas micro-water density sensor, which comprises a sensor, the sensor is placed in a box body, the inner bottom surface of the box body is fixedly connected with a mounting seat, the sensor is clamped in the mounting seat, an additional box is fixedly connected to one side, corresponding to a gas inlet pipe of the sensor, outside the box body, and the additional box is connected with the sensor. A multi-parameter gas calibration structure is arranged in the additional box, a sealing connection structure is arranged between a gas inlet pipe of the sensor and the multi-parameter gas calibration structure, a data collecting and processing system is installed on one side in the box body, and the top end of the sensor is connected with the data collecting and processing system in a wiring mode. A temperature control system is installed on the side, opposite to the data collecting and processing system, in the box body, multi-parameter gas calibration structures such as the humidity generator, the standard gas tank and the pressure calibration instrument are integrated in the additional box, the gas input pipeline layout, the precise pipeline design and the sealing connection structure are optimized, and gas leakage is effectively avoided.

The invention discloses a sectional type roasting temperature control method suitable for a synthetic resin binder material, and relates to the technical field of temperature control, furnace body data is collected based on a temperature control platform, a digital twinborn model is constructed, and a plurality of temperature control traction pools are configured corresponding to the digital twinborn model, the temperature control traction pool comprises a control line, a main pool and a temperature control factor in the main pool, the main pool is configured corresponding to the digital twin model, and the control line is configured corresponding to the furnace body temperature controller. Data needing temperature control can be rapidly and accurately analyzed through the temperature control traction pool, the temperature of the furnace body can be collected and analyzed in real time, the temperature needing to be maintained can be rapidly obtained, temperature control data does not need to be transmitted, only temperature control factors need to be started, and the temperature control traction pool can be used for rapidly controlling the temperature of the furnace body. The number and the positions of the connected temperature control factors are obtained through the mobile nodes, the power needing to be controlled is determined, the temperature can be continuously and linearly controlled, and the temperature control response efficiency can be greatly improved.

The utility model provides an artificial intelligence control device for the operation process of a water transportation port. The artificial intelligence control device has various advantages. The positioning holes provide accurate reference for device installation, and installation efficiency and quality are improved; the water transportation port is used for controlling the connecting port and the nickel-plated jack, so that stable and reliable connection, corrosion resistance and water resistance are guaranteed. The APM processor can be controlled to quickly process sensor data, real-time accurate control is achieved, and the operation automation level is improved. And the data storage stores related data, so that subsequent analysis and operation optimization are facilitated. And the wireless communication module is controlled to realize remote monitoring and control, so that the management cost is reduced. The device adopts a multiple waterproof sealing structure, prevents moisture and dust from invading, protects an internal circuit, and ensures stable data transmission. Through real-time monitoring and accurate control, operation parameters can be adjusted according to actual conditions, the safety, efficiency and resource utilization rate of port operation are improved, the cost is reduced, and the overall competitiveness is improved.

This invention discloses a scalable distributed multi-chamber open-path photosynthetic measurement system and method, relating to the field of plant physiological and ecological measurement technology. The system includes a main unit and at least two distributed chambers. The main unit centrally manages gas supply, concentration mixing, flow control, and high-precision concentration differential analysis. Each chamber is an independent unit, equipped with an adjustable LED light source, thermoelectric temperature control module, multiple types of sensors, independent power supply, and wireless communication module. An open path is formed through the gas supply pipeline and the return pipeline. The core of the method lies in the main unit polling and sampling the return gas from each chamber according to a preset program through a multi-channel automatic switching valve group. Combined with a "flushing stabilization" strategy, a single gas analysis unit is used to achieve high-precision, high-throughput parallel measurement of multiple chambers. This invention solves the problems of low throughput and high cost of traditional open-path instruments, achieving a balance between high precision and high throughput, and supports in-situ deployment in the field and remote monitoring.

The invention discloses a fluid-solid coupling calculation method for predicting the vortex-induced motion response of an underwater single anchor system, and the method comprises the steps: dividing a flow field calculation domain based on a multi-region overlapping grid technology, and achieving the data transmission through boundary point interpolation; establishing an anchor chain discrete dynamical model by adopting a concentrated mass method, and iteratively solving an anchor chain form and tension distribution; a six-degree-of-freedom rigid body dynamic model of the mooring body is established by applying a Newton-Euler method, and constraint conditions such as hydrodynamic force and anchor chain tension are integrated; a flow field is solved through a computational fluid dynamics method, and bidirectional data exchange of fluid load, anchor chain tension and structural motion is realized by using a custom function. The method has the advantages that the problem of large-displacement motion simulation of the mooring system is effectively solved through a multi-region overlapping grid and a cross-platform collaborative architecture, the six-degree-of-freedom vortex-induced motion response of the mooring body can be predicted in a high-precision mode, and whole-process visualization of dynamic changes of a flow field is achieved.

This utility model discloses a modular teaching conveying experimental platform, including a main frame, a belt at the top of the main frame, and transmission rollers at the inner sides of both ends of the belt, which are rotatably connected to the main frame. The transmission rollers at the rear end of the main frame are connected to the output shaft of a motor via a coupling. Light source brackets are provided on both sides of the main frame for mounting light sources to provide illumination for the detection area. A camera is located at the center of the top of the main frame for image acquisition of materials on the belt. A cylinder is located at the top front end of the main frame for pushing and blocking materials. This invention relates to the field of machine vision experimental platform technology. The modular support structure is constructed using industrial-grade aluminum profiles, facilitating equipment installation and debugging. The belt drive system is flexibly adjustable to adapt to different material transport. The multi-light source support system and single-to-multi-view camera architecture can acquire high-quality image data for different detection tasks and material characteristics.

The utility model provides a milk freshness detection device. The milk freshness detection device comprises a milk storage tank, a water pump, a quartz container, a light source and a near-infrared spectrometer, the milk storage tank is used for containing milk to be detected; milk in the milk storage tank is conveyed to the quartz container through the water pump and flows back to the milk storage tank; the light source and the near-infrared spectrometer are respectively arranged on two sides of the quartz container; near infrared rays emitted by the light source penetrate through the milk sample in the quartz container and then are received by the near-infrared spectrometer, and spectral data are collected, so that the freshness of the milk sample can be monitored and analyzed in real time on a production line, the quality of milk in the production process is ensured, and the production efficiency is improved. Delay and errors caused by traditional off-line sampling detection are avoided, the detection efficiency can be greatly improved, and waste of milk in the detection process can be effectively avoided.

The application discloses a kind of edge data real-time computing method and system based on go-streams, it is related to edge data processing technical field, it is based on streaming processing library go-streams, specific content includes: collecting edge real-time data, the collected data is decomposed, according to filter condition executes filtering, and the data target is screened out and integrated into target format, realizes data update release;Collecting edge real-time data and executing classification according to the same time requirement, then different partition processing operations are carried out according to parameter list by partition function, realize the timing release of data;By partition function, the data of update release is transmitted into specified partition and is handled to update release, the timing release logic is unchanged, and invalid data is handled.The application can analyze stream data in real time and accurately process massive high-concurrency data at one time, can quickly capture valuable information for users and distribute, realize the update release and real-time release of data.

The objective of the invention is to provide a TFT-based crusher lining plate use state prediction method and system in order to solve the problems of the existing crusher lining plate service life prediction technology. In the invention, the TFT is used as a core backbone structure of the model, and an improved module for explicit alignment and multi-task prediction is added on the basis. The method comprises the following steps: obtaining time sequence data and scalar data by obtaining and preprocessing data related to lining plate consumption; and constructing a life prediction model, and performing feature extraction and prediction on the obtained data to obtain a prediction result. According to the method, a lining plate sensor does not need to be adopted, the cost of the method for predicting the service life of the lining plate is reduced, the prediction accuracy is improved, the state and the use condition of the crusher lining plate can be analyzed in real time, the situation that equipment is shut down abnormally due to abrasion of the lining plate is greatly reduced, and then production is improved and stabilized.

The utility model provides an intelligent temperature detection transformer device, which relates to the technical field of transformer winding temperature detection and comprises a support base, a bottom positioning rod is arranged at the top of the support base, and a bottom positioning bolt is arranged on the front surface of the bottom positioning rod. And the temperature probe is arranged at the bottom of the temperature detection sensor, and the temperature probe is high in precision and high in response speed, so that the temperature of the transformer winding can be accurately detected in real time. Meanwhile, the device has the advantages of being high in response speed, high in precision, good in stability and the like, which is crucial for safe operation of the transformer, accurate temperature data can help operation and maintenance personnel to find potential overheating problems in time and take corresponding measures to avoid equipment damage, a temperature probe with high response speed can accurately detect temperature changes in real time, and the safety of the transformer is guaranteed. And operation and maintenance personnel can know the temperature dynamic state of the transformer winding at the first time.

The invention discloses a crowd detection method and device and a storage medium, and relates to the technical field of image processing, and the method comprises the steps: obtaining a to-be-detected crowd image, inputting the to-be-detected crowd image into a backbone network in a multi-scale prediction model, extracting the multilayer features of the to-be-detected crowd image, and obtaining feature maps of different scales; respectively inputting the feature maps of different scales into a feature pyramid decoder in a multi-scale prediction model to generate multi-scale pyramid features; inputting the multi-scale pyramid features into a multi-scale adaptive feature fusion module in a multi-scale prediction model, and outputting fusion features; and inputting the fusion feature into a prediction branch in a multi-scale prediction model, and outputting a crowd detection result. While the network lightweight is maintained, the adaptive fusion of the feature layer and the dynamic weight optimization of the loss layer are realized, and the precision and robustness of the crowd counting model in a complex scene can be improved.

This invention relates to the field of artificial intelligence technology and discloses an AI-driven multimodal data analysis method and system. The system includes a data acquisition module for setting up acquisition nodes and terminals, acquiring multimodal data and device operating parameters in real time, and converting the formats; a multimodal fusion module for constructing a cross-modal semantic association model, processing spatiotemporal characteristics, fusing representational features, and associating simulations; a feature extraction module for constructing image, text, and speech-related extraction algorithms to obtain corresponding features; a comprehensive analysis module for standardizing features, performing association calculations, and comparing them with preset thresholds to analyze semantic consistency; and a hierarchical processing module for combining contextual calculations and analysis when semantic inconsistencies occur, performing secondary comparisons to analyze the target scene performance. This system and method can effectively process multimodal data, improve the accuracy and efficiency of semantic analysis, and are applicable to various scenarios.

The present application relates to a kind of compact sandstone fine naming method and rock mineral content determination method, belong to rock mineral identification technical field.The fine naming method of the present application includes the following steps: obtaining the Fe element content, Al element content and Si element content in the skeleton of the rock to be named in target area, utilize skeleton X element content-dirt content model, skeleton aluminum element content-feldspar content model, skeleton silicon element content-quartz content model calculate dirt, feldspar and quartz content, then calculate dirt relative content, feldspar relative content and quartz relative content, and utilize sandstone triangular graph to fine name the rock in target area.The method can be in real time on the rock fine naming in oil drilling site, overcome the defect that rock mineral content is obtained after laboratory analysis is not continuous in fine naming rock, carry out compact oil and gas completion fine evaluation and test layer in drilling site, realize in improving interpretation precision, simultaneously, speed up oil and gas development process.

The invention relates to a high-performance log collection and analysis device, and belongs to the field of data processing. The device comprises a log collection module, a log analysis module, a data storage module, a communication interaction module, a power management module and a system monitoring module, and all the modules work cooperatively through a high-speed bus. The device disclosed by the invention can realize high-performance log collection and analysis of efficient collection, real-time analysis, safe storage and stable wired transmission of multi-scene logs, can be widely applied to scenes which have strict limitation on wireless communication and have requirements on hardware localization compatibility, and provides hardware-level support for stable operation and risk early warning of various systems.

This application provides a method, storage medium, electronic device, and program product for belt conveyor state analysis, relating to the field of deep learning. The method includes: acquiring a video to be detected; processing the video to obtain a feature matrix corresponding to the video; inputting the feature matrix into a pre-trained belt conveyor state analysis model to obtain multiple channel output data of the model, wherein the multiple channel output data includes at least belt conveyor state channel data, optical flow field channel data, and instance representation channel data; and determining the state information of the belt conveyor contained in the video based on the multiple channel output data. This application overcomes the deficiency of belt conveyor segmentation and optical flow calculation being separate in traditional methods, achieving comprehensive, real-time, and accurate monitoring of the belt conveyor's operating status.

The invention discloses a three-dimensional detection method and device based on a structured photon light field, and belongs to the field of optical measurement, and the method comprises the steps: generating the structured photon light field, and irradiating a target region where a to-be-detected three-dimensional target is located through a two-dimensional scanning mode; receiving an echo signal reflected by the target area; performing time-resolved acquisition on the echo signal by using a single-photon detection mode to obtain initial three-dimensional data; calculating flight time corresponding to each point in the three-dimensional target to be detected according to the initial three-dimensional data, and calculating depth information of each point in the three-dimensional target to be detected according to the flight time to realize three-dimensional target detection; the structural photon light field is a spatial structure light field carrying a radial phase gradient, and the initial complex amplitude of the structural photon light field meets the following conditions: the structural photon light field is a Gaussian amplitude distribution function and is a phase function changing along with radial coordinates. According to the invention, the resolution and stability of three-dimensional target detection in a complex environment can be improved.

The utility model provides double-sensing fusion river and lake inspection unmanned aerial vehicle equipment, which mainly comprises an unmanned aerial vehicle body with a multi-rotor structure, and a full-spectrum camera and a visible light camera which are arranged below the unmanned aerial vehicle body, and a controller is also arranged in the unmanned aerial vehicle body; a data processing unit, an image registration module, an alarm module and a communication module are arranged in the controller, during working, the double cameras synchronously collect full-spectrum and visible light images of river and lake areas, after data are transmitted to the processing unit, two-mode data are aligned through the image registration module, then a hidden sewage draining exit is recognized by means of a pre-trained YOLO model, and once recognition succeeds, the alarm module gives an alarm if the recognition succeeds. And sound-light alarm is triggered immediately and information is transmitted to a ground control station. According to the utility model, the structural design is novel, the two cameras work cooperatively, image registration and an advanced identification model are combined, and the hidden problem of the sewage draining exit is effectively solved. The equipment greatly improves the recognition accuracy and the inspection efficiency of the hidden sewage draining exit of the river and the lake, and has the functions of timely alarming and remote monitoring.

The application discloses a time-varying path planning method, comprising the following steps: S1, determining path initial data of a mechanical arm, including a starting point x start and a termination point x end of the path; S2, acquiring feature information of an obstacle at a current time; S3, judging whether obstacle avoidance is needed; when obstacle avoidance is not needed, generating a path, and ending path planning; when obstacle avoidance is needed, obtaining a center point O0 of the path without obstacle avoidance in an obstacle space, and entering step S4; S4, determining a fuzzy center C of the obstacle according to feature points of the obstacle, and determining a direction of the path bypassing the obstacle according to the fuzzy center C of the obstacle and the path initial data of the mechanical arm; S5, determining feature points of the path according to the center point O0 and the direction of the path bypassing the obstacle; S6, generating the path at the current time according to the feature points of the path; and S7, returning to step S2 at a next time. The application can effectively improve path planning efficiency, adjust a smooth path in real time, and is particularly suitable for global dynamic obstacle avoidance of moving objects such as a snake-shaped mechanical arm.