179results about How to "Automate processing" patented technology

The invention provides a first-aid platform work order management method based on digital twinning and artificial intelligence, and belongs to the technical field of information technology application innovation, and the method comprises the steps: collecting historical first-aid data and real-time data of a first-aid scene, and constructing a task scheduling system based on a knowledge graph; decomposing the task into a plurality of sub-tasks according to the work order data, and allocating an optimal first-aid resource combination for the sub-tasks; an optimization strategy is set to carry out collaborative allocation control on each resource, and task allocation is optimized; the optimized task allocation is monitored in real time, and meanwhile, in combination with real-time data flow monitored in real time, it is ensured that the change of the dynamic environment is responded at any time in the task execution process; and re-inputting the optimized task allocation and resource scheduling strategy into the knowledge graph, and carrying out closed-loop optimization. According to the invention, the problems of inaccurate task scheduling, weak real-time response capability, low resource utilization rate and the like in the existing work order management system of the emergency platform are effectively overcome, and the overall efficiency and the automation level of the emergency platform are greatly improved.

The invention relates to the technical field of data security, in particular to an unstructured video data automatic classification method, which comprises the following steps: S1, video data preprocessing: standardizing video data to a uniform format and size, and carrying out noise processing; s2, video data feature extraction and multi-mode feature fusion: feature extraction is performed on the preprocessed video data from three modes of audio, video and text, time sequence processing is performed, and multi-mode feature fusion is performed; s3, video data same-category matching: classifying the fused multi-modal features to complete video classification; according to the invention, multi-modal information in a video can be captured more accurately, and automatic processing of video data is realized; high processing efficiency and classification accuracy are kept in large-scale data, meanwhile, the degree of automation is improved, the necessity of manual participation is reduced, and the overall process is optimized.

The invention discloses an agent optimization method, device and system based on reinforcement learning, and a storage medium. The method comprises the steps of obtaining an initial task instruction input by a user; performing instruction deepening and expansion on the initial task instruction; optimizing and adjusting a task instruction and a data collection strategy by using a reinforcement learning algorithm; the task instruction is converted into a specific execution plan, and data collection, data cleaning and analysis, API calling, database retrieval and exception handling tasks are executed; evaluating whether the data collected by the intelligent agent is enough to support the analysis requirement of the current task; and generating an industry analysis result based on optimization data obtained by instruction deepening and expansion, and by adopting the technical scheme of the invention, the intelligent agent can adaptively generate, adjust and optimize the task instruction in a complex task environment, so that the intelligence, flexibility and efficiency of task processing are improved.

The invention discloses an SAR (Synthetic Aperture Radar) soil surface water content inversion method and device based on deep learning, and the method comprises the steps: constructing a deep learning regression model for predicting the volume content of soil water through combining SAR data, auxiliary data and in-situ sensor data; a ConvNeXt model is adopted to construct a parallel convolution encoder to solve multi-source data with different input resolutions, and back scattering coefficients, spectral information, digital elevation model high-resolution data and soil sand content, sludge content, clay content and stacking density low-resolution data are fused into soil moisture estimation. And the inference capability of unknown data is improved. The model obtained by training can realize large-range and high-resolution automatic estimation of the water content of the soil surface layer. According to the invention, the influence of radiation transmission noise is avoided, the inversion precision of a vegetation coverage area is improved, and large-range high-resolution automatic processing of soil humidity products is realized.

The invention provides a method for dynamically constructing a coal mine geology digital twinborn body based on multi-source heterogeneous information. Comprising the steps of AIGC-assisted geological result reading, end-to-end structured information self-adaptive generation, primary geologic body model construction through a generalized triangular prism algorithm, geometric smooth subdivision based on Kriging interpolation, special geological element dynamic updating and coal mine digital twinborn matrix generation. According to the method, the AIGC is introduced to assist in reading the geological result innovatively from the remarkable characteristics of the data intensive normal form of the geological information, and intelligent generation of structured information matched with an automatic modeling updating algorithm is realized through big data assimilation of multi-source heterogeneous information; a quick response process of information processing, primary geologic body generation, geometric smoothing, abnormal geologic body encryption and global geologic body construction is formed, and a high-precision coal mine geologic digital model is dynamically constructed by utilizing geologic information of different geologic survey stages. And the requirements of high precision, renewability and automation of the coal mine digital twinborn body are met.

The invention discloses an urban street annual green vision rate calculation method based on multi-temporal streetscape images, and the method comprises the steps: generating streetscape sampling points according to road network data, collecting a plurality of temporal streetscape images of each streetscape sampling point covering all seasons of the whole year, carrying out the semantic segmentation of the streetscape images through a deep learning model, and obtaining the annual green vision rate of a city street. And extracting a vegetation region in the streetscape image, and performing mathematical expectation calculation on the green vision rates under different time phases to obtain the annual green vision rate of the urban street. According to the method, annual street view data are accurately collected and processed, and an effective means is provided for scientific evaluation of urban street greening by combining a deep learning technology and an image segmentation technology. According to the method, the urban planning department can be helped to know the greening condition more accurately, important decision support can be provided for subsequent urban greening improvement and street landscape optimization, and meanwhile, the method is high in automation degree and suitable for practical application of large-scale urban greening evaluation.

The invention discloses a method for constructing a digital employee, which comprises the following steps of: collecting and analyzing enterprise business processes and data, designing a working process and a task distribution strategy of the digital employee, training the digital employee by utilizing a machine learning algorithm to enable the digital employee to have the capability of processing the business processes, and simultaneously constructing the digital employee according to the characteristics of the business processes and the data. According to the method, the working process of the digital employees is designed, a task allocation strategy is formulated, efficient execution and cooperative processing of tasks are achieved, and the stability and reliability of the digital employees in the actual operation process are ensured through real-time monitoring, performance evaluation and fault diagnosis of the digital employees. According to the method, digital employees capable of simulating work of human employees can be constructed according to specific business requirements of enterprises, automatic processing of business processes of the enterprises is achieved, and compared with a traditional IT system, the method has higher intelligence and automation, can better adapt to complex and changeable business scenes, and is high in practicability. And the operation efficiency and competitiveness of enterprises are improved.

The embodiment of the invention provides an intelligent form construction method and device, computer equipment and a storage medium. The method comprises the steps that a form design tool, a control library and a form template library are provided on a preset interface; respectively selecting a target form template and a specified control from the form template library and the control library according to business requirements; adding the specified control into the target form template through a form design tool to generate a first form; setting a dynamic display rule for a specified field in the first form, setting a conditional logic relationship in the first form, generating a second form as a constructed target form, and constructing the target form through a form design tool, a control library, a form template library and the dynamic display rule for the specified field. Flexible adjustment of form contents and automatic processing of filling and reporting processes are realized, the working efficiency is improved, the error rate is reduced, the system development and maintenance cost is reduced, and a convenient and efficient data filling and reporting and management solution is provided for enterprises and individuals.

The invention discloses a document bidirectional tracing method and related devices.The method comprises the steps that a first task and a second task which have a bidirectional tracing relation are obtained, the first task comprises a plurality of first documents, and the second task comprises a plurality of second documents; obtaining a traceability identifier in each first document, matching each traceability identifier with the plurality of second documents, determining at least one second document corresponding to each first document, and taking a relationship between each first document and the corresponding at least one second document as a first traceability relationship; based on each first document and at least one second document corresponding to each first document, determining at least one first document corresponding to each second document, and taking a relationship between each second document and the corresponding at least one first document as a second tracing relationship; and generating a bidirectional tracing list based on the first tracing relation and the second tracing relation. Therefore, the efficiency of bidirectional tracing is improved, and the accuracy of bidirectional tracing is improved.

The invention relates to an unmanned aerial vehicle inspection photo processing method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: acquiring EXIF information of an exchangeable image file of a target inspection photo, wherein the EXIF information comprises first position information of an unmanned aerial vehicle when the target inspection photo is shot; determining a target inspection object from a plurality of inspection objects based on the first position information; and naming the target inspection photo according to the identifier of the target inspection object. By adopting the method, the inspection photo processing efficiency can be improved.

The invention belongs to the technical field of green hydrogen production, and particularly relates to waste liquid treatment equipment. The invention relates to automatic equipment for treating waste alkali liquor activated by a nickel screen of an electrolytic bath. The automatic equipment comprises a waste acid liquor impurity filtering tank; a waste alkali liquid impurity filtering tank; the acid-base neutralization reaction tank is respectively communicated with output pipelines of the waste acid liquid impurity filtering tank and the waste alkali liquid impurity filtering tank; a stirrer is arranged in the acid-base neutralization reaction tank; the first-stage coarse filtering tank I and the first-stage coarse filtering tank II are respectively communicated with an output pipeline of the acid-base neutralization reaction tank; the second-stage fine filtering tank is respectively communicated with output pipelines of the first-stage coarse filtering tank I and the first-stage coarse filtering tank II; the filtrate storage tank is communicated with an output pipeline of the secondary fine filtering tank; and the control panel is used for conveying the output pipelines and controlling the stirrer. Automatic treatment of the activated waste alkali liquor can be achieved, batch treatment of the activated waste alkali liquor of the electrolytic cell is facilitated, the treatment cost of the activated waste alkali liquor is reduced, and therefore the economical efficiency and practicability of hydrogen are improved.

The invention provides a traditional Chinese medicine text key information intelligent capturing method and system. The method comprises the following steps: receiving a traditional Chinese medicine text data set, and preprocessing each traditional Chinese medicine text data in the traditional Chinese medicine text data set; performing word feature extraction on each traditional Chinese medicine text data by using a word vector model to obtain a first word data set, and performing semantic analysis on each word data in the first word data set to obtain a simplified second word data set; inputting the second word data set and the traditional Chinese medicine knowledge graph into a pre-constructed deep learning model, wherein the deep learning model outputs a plurality of pieces of prescription information; and repeating the above process, completing the processing of all traditional Chinese medicine text data, and carrying out integration processing on the obtained prescription information. According to the scheme, the key information can be efficiently and accurately extracted from the traditional Chinese medicine text.

The invention discloses a lithium battery cover plate six-surface detection device and method, and relates to the technical field of lithium battery detection. The lithium battery cover plate six-face detection device comprises a detection device rack, a lifting elevator, a cleaning and dust removing mechanism, a film pasting mechanism, a product overturning module, a feeding transfer mechanical arm and a detection belt are arranged on the detection device rack, and the lifting elevator, the cleaning and dust removing mechanism, the film pasting mechanism, the product overturning module, the feeding transfer mechanical arm and the detection belt are arranged on the detection device rack. A camera detection unit is arranged on the detection belt, and a discharging mechanism is arranged on the detection device rack. According to the six-face detection device for the lithium battery cover plate, automatic treatment is achieved in the whole process from cleaning and dust removal, film pasting, overturning, detection to discharging, the phenomenon that the detection effect is affected by dirt is reduced, meanwhile, manual intervention is greatly reduced in the detection process, the production efficiency and consistency are improved, and the production cost is reduced. And comprehensive detection of six surfaces of the lithium battery cover plate can be realized through the multi-camera detection unit.

The invention discloses a system operation and maintenance method and device, electronic equipment and a storage medium. According to the specific scheme, the method comprises the steps of obtaining to-be-processed data of a target system under at least two evaluation dimensions; for the at least two evaluation dimensions, determining operation performance attributes of the target system according to the to-be-processed data under each evaluation dimension and the evaluation function corresponding to each evaluation dimension; when the operation performance attribute meets a preset condition, performing fault detection on the target system based on a preset fault detection tool to obtain a fault detection result; and determining a target emergency processing mode corresponding to the fault detection result, and performing fault repair processing on the target system based on the target emergency processing mode. According to the invention, the overall evaluation of the operation condition of the target system is realized, and the accuracy, rationality and comprehensiveness of the operation and maintenance of the target system are ensured.

The invention belongs to the technical field of data processing, particularly relates to an information recommendation method and system based on brain science knowledge extraction and a graph network, and aims at solving the problems that an existing retrieval recommendation method is insufficient in operation mechanization, convenience and accuracy. The method comprises the following steps: extracting a plurality of keywords in text information and a text relationship among the keywords through a semantic analysis method based on brain science; constructing a knowledge graph based on the plurality of keywords and the text relationship among the keywords; constructing a knowledge relationship network based on the knowledge graph, and training through a graph data learning algorithm to obtain a graph neural network; the graph neural network comprises a representation vector of each keyword; and according to a retrieval instruction input by a user, determining the recommended content by calculating the semantic similarity between the retrieval instruction and the representation vector of the keyword. According to the method, the knowledge engine is automatically constructed from the text, and integration, recommendation and prediction of knowledge and automatic processing from the text information to the knowledge engine are realized.

The utility model discloses a non-stop straw feed round bale packer, which belongs to the technical field of mechanical equipment, and comprises a traction frame arranged on a tractor, the traction frame is fixedly connected with a rack, a gear box is fixedly arranged on the traction frame close to the rack, a storage bin is arranged on the rack, and the storage bin is connected with the rack. A storage bin is installed on the rack, a picking device is installed at the end, close to the traction frame, of the rack below the storage bin, the picking device is matched with the storage bin, the end, away from the traction frame, of the storage bin is communicated with a round bale packing device, and a transmission mechanism is arranged among the gearbox, the picking device and the round bale packing device for connection. And a net wrapping device is mounted on the round bundle packing device.

The invention relates to the field of power grid main equipment operation and maintenance, in particular to a self-consistency enhanced large language model power equipment operation and maintenance method, system and device, and the method comprises the steps: generating a reasoning path based on a question in a question and answer pair, and carrying out the segmentation of the reasoning path, and obtaining a plurality of clauses; for each clause, extracting an operation, maintenance and overhaul entity, and obtaining a node sequence related to the operation, maintenance and overhaul entity in the power operation, maintenance and overhaul map according to the operation, maintenance and overhaul entity; by calculating similarity scores of the clauses and the node sequences, screening out associated node sequences corresponding to the clauses, and calculating implication scores and contradiction scores between the associated node sequences and the corresponding clauses; and according to the similarity score, the implication score and the contradiction score, scoring the reasoning path to obtain a reasoning path score, and reordering the reasoning path score to obtain a final operation and maintenance scheme. The method has remarkable advantages in the aspects of improving the operation and maintenance efficiency, the accuracy, the intelligent level, the user experience and the like.

The present application discloses a method for drawing a map road based on vtk and point cloud, which relates to the field of autonomous driving, including: using vtk to obtain point cloud data of a road, and using an octree to perform spatial division on the point cloud data to obtain point cloud data after spatial division; performing coordinate transformation on the point cloud data after spatial division to align the z-axis of the point cloud coordinate system with the z-axis of the camera coordinate system; drawing a road reference line by interactively taking points on the screen according to the point cloud data after coordinate transformation; generating a road boundary and a center line according to the road reference line through geometric transformation; clustering and edge extraction of the point cloud within a preset range of the road boundary by using the DBSCAN algorithm, and smoothing by using a B-spline curve to obtain a final road boundary as a drawn map road; in view of the low efficiency of road drawing in the prior art, the present application improves the drawing efficiency.

The utility model belongs to glass polishing machine sludge filter device in the technical field of glass polishing machine. The guide rail (2) is set on the upper portion of device frame (1), the guide slot (4) is set on the bottom of screen frame (3), the guide rail (2) and guide slot (4) are movably connected, the filter screen (5) is installed on the bottom of screen frame (3), the retractable component (6) is set on device frame (1), and the retractable component (6) is connected with screen frame (3). The device frame (1) is arranged in the water pool (7), the filter screen (5) is located below the water surface, and the height of the upper surface of screen frame (3) is higher than the height of the water surface of water pool (7). The glass polishing machine sludge filter device can efficiently treat polishing sludge, realizes sludge dilution, facilitates sludge discharge treatment, reliably filters impurities in polishing sludge, realizes centralized collection and treatment of impurities, and meets the polishing sludge treatment demand.

The invention discloses an image defogging method and system based on multi-level fusion and parallel filtering, and belongs to the field of image processing.The method comprises the steps that firstly, a foggy image is input, and useful low-level and high-level features are extracted through the multi-level feature fusion technology; then, designing a parallel filter to process the blurred image for feature extraction, and ensuring that texture details are recovered while capturing a large-area blurred region; besides, an enhanced distributed attention unit is constructed, uneven haze distribution is effectively processed, and extracted features are adaptively fused through learned spatial weight features. And finally, inputting the fused features into a defogging model to generate a clear output image. The invention further provides a system for realizing the method, evaluation shows that the method obviously improves the defogging effect under the condition that only 6.92 M parameters are used, and the method has a good application prospect.

A cactus peeling and deburring device relates to the field of automation equipment and comprises a conveyor belt mechanism, a pushing mechanism is arranged on the left side of the conveyor belt mechanism, and a thickness detection mechanism, an end cutting mechanism and a peeling mechanism are arranged over the conveyor belt mechanism. According to the cactus peeling and deburring device, the conveyor belt mechanism, the pushing mechanism, the thickness detection mechanism, the end cutting mechanism and the peeling mechanism are integrated, and automatic processing of cactus is achieved. According to the design, the treatment efficiency is improved, the complexity and the labor intensity of manual operation are reduced, and meanwhile, the treatment quality and the treatment precision are guaranteed.

The present application relates to the technical field of image analysis, and specifically provides a special-shaped sample color measurement defect correction and error compensation method and system based on image analysis, which comprises the following steps: collecting an original image of a sample to be measured and preprocessing the original image to obtain a to-be-measured image; matching the to-be-measured image with a pre-constructed color measurement defect standard database, identifying defect features and positions through an image analysis algorithm, matching a correction strategy to obtain a correction image of an effective color measurement area; adjusting color measurement instrument parameters according to the defect features, collecting color values of the effective area, and performing mean value processing to obtain original average color values; extracting image shape, material and color core features, matching a color compensation algorithm in association with the original average color values, and completing compensation to obtain target color values. The method realizes full-process automation of special-shaped sample color measurement, effectively eliminates collection deviations caused by shapes, improves color measurement precision and efficiency, and adapts to industrial high-precision control requirements.

The embodiment of the invention provides a data processing method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring a filled change description template; wherein the filled change description template comprises change content; the change content comprises table structure change information and data content change information; determining a data link relationship according to the filled modification description template; wherein the data link relationship represents a data influence range of the change content on the data in the data; determining a target modification path based on the data link relationship; and processing the corresponding data in the data table based on the target modification path and the filled modification description template. According to the embodiment of the invention, the change content filled by using the uniform change description template is combined with the target change path, so that the corresponding data in the data-in-the-channel can be automatically processed, and meanwhile, the change of the data in the data-in-the-channel can be reduced, and the maintenance cost of the change of the data in the data-in-the-channel can be reduced.

The invention discloses an exception handling method and device, equipment, a medium and a product, and relates to the technical field of cloud computing, and the method comprises the steps: determining an exception type corresponding to at least one downstream interface in response to the recognition that the at least one downstream interface has an exception; and determining an exception handling scheme corresponding to the at least one downstream interface based on the exception type, performing exception handling on the at least one downstream interface according to the exception handling scheme, and when the at least one downstream interface is abnormal, determining a corresponding exception handling scheme through the exception type, and the abnormal processing is carried out according to the abnormal processing scheme, so that automatic processing of the abnormal downstream interface is realized, manual communication and processing are not needed, and the processing efficiency of the abnormal interface is improved.

The invention is suitable for the technical field of crossing of computer vision, artificial intelligence and sports science, and provides a tennis posture evaluation system based on multi-modal data fusion, which comprises a three-dimensional posture extraction module, an action recognition module, an index calculation module and a natural language evaluation generation module, the three-dimensional posture extraction module is used for extracting a human body three-dimensional key point sequence from a monocular video according to an STCFormer model; the action recognition module is used for performing standardization processing, Bi-LSTM network processing and full-connection classification network processing on the human body three-dimensional key point sequence to obtain tennis action types; the index calculation module is used for calculating biomechanical parameters according to the action type and the human body three-dimensional key point sequence; and the natural language evaluation generation module is used for inputting the action type and the biomechanical parameters into a preset large language model to generate feedback information in a natural language form. Therefore, end-to-end automatic processing from original video input to final professional evaluation report generation is realized, and objectivity and accuracy of evaluation results are improved.

The invention relates to the technical field of computers, in particular to a task processing method and device, equipment and a medium which are used for replacing workers to complete various work tasks and achieving automatic processing of the work tasks. According to the method, after an initial control parameter required for completing a target task is obtained, a target operation corresponding to the initial control parameter is executed on each display page, then, the target control parameter enabling page change to conform to expectation is determined, and the initial page can be skipped to a target page completing the target task according to the target control parameter, so that the target task can be completed. And automatic processing of work tasks can be realized.

The invention discloses an intelligent automatic welding system for a beam-column structure and a welding method thereof, and relates to the technical field of welding. The invention aims to solve the problems that the adjustment range of the existing welding equipment is limited, so that a workpiece is easy to deviate in the clamping and assembling processes, the controllability of manual operation on the welding process is low, and the dual requirements of large-scale production on speed and precision cannot be met. The automatic welding device comprises a welding robot, a robot controller, a master control system, a positioner and a welding tool, a welding workpiece is clamped on the positioner through the welding tool, the positioner is used for achieving rotation of the welding workpiece, and the welding robot is arranged on one side of the positioner through a linear moving mechanism. The main control system controls the welding poses and welding parameters of the welding robot through the robot controller, and the main control system controls the displacement and moving parameters of the positioner, the welding tool and the linear moving mechanism. The method is used for intelligent automatic welding.

The utility model relates to a batch material formula caterpillar belt shot blasting machine, including setting on the shot blasting chamber of frame, being equipped with caterpillar belt and its drive mechanism in shot blasting chamber, and caterpillar belt includes chain plate and chain, and chain plate is equipped with waste hole on, and chain plate fixedly connected on chain, and drive mechanism includes drive motor and transmission shaft, and chain and transmission shaft transmission connection, and the side of shot blasting chamber's feed inlet is equipped with winch feeding device, and the discharge port of shot blasting chamber is equipped with conveyer, the utility model discloses through winch feeding device feeding, and conveyer discharging can realize automatic feeding and discharging, and also improve the caterpillar belt structure, and greatly improve the wear resistance, so that the automatic treatment of batch material can be realized, and manual operation is not needed, and the cost is greatly saved. Moreover, the chain plate and chain of caterpillar belt are connected through bolt, the chain and driving gear are engaged, the transmission efficiency is high, does not slip, the chain plate can be separated and disassembled, does not need to replace the whole set, and the maintenance is more convenient.

The present invention discloses a quantitative data processing method based on cloud computing, which belongs to the technical field of cloud computing and quantitative data processing. By adopting a deep learning algorithm and a multi-level search algorithm to optimize the parameters of a quantitative data analysis model, the learning of historical data is realized, and rules that can process quantitative data are formed. The quantitative data are then processed according to the rules, thereby realizing automatic processing of quantitative data. This method can not only effectively improve the analysis efficiency of quantitative data, but also eliminate errors caused by human analysis.

This invention belongs to the field of medical image processing technology, specifically a system for aortic motion feature extraction and disease risk prediction based on medical image analysis. The system includes modules for acquiring multi-temporal image sequences and clinical data, dynamic segmentation of aortic anatomical structures, construction of a dynamic relative coordinate system, trajectory preprocessing and standardization, trajectory segmentation analysis based on physiological phases, multidimensional dynamic feature extraction, and risk stratification prediction model construction. This invention integrates multidimensional motion features with clinical indicators to construct a risk model based on machine learning or statistical regression, outputting a predicted value for the individual's cardiovascular disease risk. This invention can reduce global interference caused by respiratory and cardiac translation, improve the biological specificity and inter-individual comparability of features, achieve fully automated processing, and enhance the risk prediction ability for cardiovascular events such as heart failure, atrial fibrillation, and aortic disease, showing promising application prospects.