1214results about How to "Reduce error rate" patented technology

A pattern which does not appear at a flat portion in normal binarization processing is set as a code pattern, and a code formed from this pattern is attached. At this time, code attachment with little degradation in image quality is implemented by selecting an unnoticeable pattern.

The invention discloses an industrial product quality detection method and system based on machine vision, and relates to the technical field of quality detection.During operation of the system, through an industrial camera and an optimized light source layout, high-resolution image acquisition is performed on electronic components in real time by adopting multi-angle shooting, a series of optimization processing is performed on the acquired images, and the quality of the electronic components is detected. The method comprises the following steps: extracting shape, texture and color features according to geometric characteristics of an electronic component to form key parameters for judging defects, identifying potential defects of the electronic component by using a deep learning model algorithm, calculating to obtain a quality evaluation index Q, and calculating the quality evaluation index Q according to calculation results of feature extraction and defect detection. And comprehensively evaluating the quality of each component, comparing the quality evaluation index Q with a first preset threshold value M and a second preset threshold value N to obtain a quality evaluation grade, feeding unqualified detection information back to a production line, and removing unqualified components.

The invention relates to the technical field of raw material management systems, in particular to a raw material management system for building engineering construction. The management system comprises a raw material information management module, a purchase management module, an inventory management module, a use management module, an optimization allocation module, a raw material quality evaluation module, an environmental impact evaluation and material selection module, a supply chain transparency module, a life cycle management module and a raw material demand prediction and inventory optimization module. An automatic purchase and supplier collaborative optimization module; the system uniformly manages data information of links of raw material purchasing, inventory, use and the like through a centralized data platform, forms a complete material management chain, avoids information dispersion and lag, realizes real-time sharing of data of each link, improves transparency of management and accuracy of decision making, and meanwhile, greatly improves management efficiency. The complexity and error rate of manual operation can be remarkably reduced through automatic purchase order generation, intelligent inventory management and supplier collaboration.

The invention relates to the technical field of concrete pouring, in particular to a concrete pouring homogeneity detection system and method based on sensing data, and aims at achieving efficient and accurate concrete pouring homogeneity evaluation and defect detection. The system comprises a multi-sensor sensing module, a multi-sensor data conversion and transmission module and a concrete homogeneity evaluation module, the multi-sensor sensing module comprises a temperature sensor, an ultrasonic sensor and a vibration sensor; the multi-sensing data conversion and transmission module is used for acquiring multi-sensing data and performing data type conversion and transmission on the multi-sensing data; and the concrete homogeneity evaluation module is used for constructing a concrete pouring homogeneity evaluation model to detect and evaluate the homogeneity and defects in the concrete pouring process. According to the invention, detection and evaluation of the concrete pouring homogeneity are realized through combination of multi-sensing data, and the accuracy of detection of the concrete pouring homogeneity is improved.

The invention relates to the technical field of data synchronization, and discloses a distributed account book remote data synchronization method and system, and the method comprises the steps: carrying out the Hash mapping calculation of all nodes of a distributed account book system, and obtaining a distributed storage architecture; performing hierarchical network construction on the nodes, and setting an inter-region remote synchronization link and an intra-region local synchronization link to obtain a double-layer communication architecture; performing parallel compression coding, digital signature generation, transmission scheduling arrangement and consistency verification processing on the data blocks to obtain a node synchronous data set; calculating a correlation coefficient of node processing delay and network transmission delay to obtain a synchronous delay analysis model; based on a data block corresponding to the synchronous delay analysis model, adding a time sequence identifier and calculating an integrity check code, and generating a synchronous reliability guarantee mechanism; according to the method, the consistency and the traceability of the distributed account book data are ensured.

The invention relates to a server application architecture migration method and device and a storage medium, and the method comprises the steps that an automatic detection module analyzes and checks a to-be-migrated application under an X86 architecture, and the to-be-migrated application is subjected to static code analysis, dynamic performance analysis and system compatibility check; according to analysis and check results of the automatic detection module, the automatic adjustment module replaces an X86 specific instruction and a library function, performs memory allocation optimization and memory mapping adjustment, and generates an automatic adjustment report; and the automatic optimization module executes a performance benchmark test, and executes memory access optimization, algorithm optimization, task scheduling optimization and multi-core parallelization adjustment according to a test result. According to the server application architecture migration method and device and the storage medium, the architecture adaptation process can be simplified, performance optimization support and automatic dependency relationship management can be provided, the migration efficiency can be improved, and the cost can be reduced.

The invention provides a method and a system for intelligently generating a complete dispatch report for financial unfavorable assets, and relates to the technical field of data investigation and arrangement, comprising Sp1, complete dispatch demand acquisition, Sp2, intelligent reasoning planning, Sp3, data acquisition and processing, Sp4, public opinion retrieval and analysis, Sp5, legal information extraction and verification, Sp6, data integration and report generation, and Sp7, report modification and output, and the method comprises the steps of Sp1, complete dispatch demand acquisition, Sp2, intelligent reasoning planning, Sp3, data acquisition and processing, Sp4, public opinion retrieval and analysis, Sp5, legal information extraction and verification, Sp6, data integration and report generation, and Sp7, report modification and output. By integrating a large model, an online retrieval tool, a data table tool and a key point extraction tool, automation and intellectualization of a complete dispatching process are realized. The system can automatically acquire, process and integrate data, greatly improves the efficiency of data acquisition, analysis and report generation, and reduces the probability of manual intervention and errors.

The embodiment of the invention discloses a chip register description document generation method and device, a storage medium and terminal equipment, and relates to the field of document processing. The method comprises the following steps: analyzing a register attribute table file of a chip, and determining each functional module included in the chip and a register included in each functional module according to an analysis result; querying an associated register description template document according to the model of the chip; extracting field values corresponding to fields in the register list display area and the register description display area from the register attribute table file, and filling the read field values into a register description template document to generate a register description document of the chip, the problems that in the prior art, compiling of the chip register description document is low in efficiency, prone to errors and poor in timeliness are effectively solved, and a more efficient, accurate and reliable method is provided for compiling and managing the chip document.

The invention provides an electric control box remote data acquisition system based on the Internet of Things, and relates to the technical field of data processing, and the method comprises the steps: obtaining the operation state data of an electric control box through a sensor, transmitting the operation state data through a wireless signal network, obtaining a data frame set, analyzing the data identifier of each data frame, verifying the integrity of the data, and obtaining the data frame set; determining performance parameters of the wireless signal network, detecting whether an abnormal change occurs in the transmission process, generating a solution when the abnormal change occurs, generating a retransmission signal when packet loss occurs in the transmission process, determining a retransmission queue according to the data identifier, and transmitting the retransmission signal according to the retransmission queue when delay occurs in the transmission process. The priority of a retransmission queue and the distribution of network bandwidth are dynamically adjusted, and when signal attenuation occurs in the transmission process, the execution sequence is adjusted according to the operation record and result of a solution by switching a transmission channel and adjusting transmission power. The transmission process of the operation data of the electric control box can be detected.

The invention relates to the technical field of medicine information management, in particular to a traceability method and system based on a medicine consumable traceability code. The method comprises the following steps: acquiring medicine purchasing information data; generating a unique code for the number of medicine purchasing information so as to generate a medicine warehousing traceability code; performing drug information association on the drug purchase information data according to the drug warehousing traceability code to generate a drug warehousing associated traceability code; storing the medicine warehousing associated traceability code in an information base to generate a medicine warehousing traceability code information base; performing scanning access mode division on the medicine warehousing traceability code, and generating a medicine dispensing scanning request mode and a medicine returning scanning request mode; and performing drug splitting tracing on the drug warehousing tracing code in a drug dispensing scanning request mode to generate drug splitting tracing data. According to the invention, through full-process closed-loop management, data association enhancement, intelligent scheduling optimization and drug return tracing improvement, the efficiency and precision of the drug consumable traceability code tracing method are improved.

The invention discloses an intelligent interactive Agent system based on Langchain and an implementation method, and relates to the technical field of natural language processing and artificial intelligence. Comprising the steps of 1, establishing an intelligent interactive Agent system by using an interface and an integrated tool provided by a Langchain framework, 2, managing calling of various tool modules and services through a central scheduling module, and dynamically registering and unbinding the tool modules by using the interface provided by the Langchain framework, and 3, processing user input by using a large language model through a process management module, and establishing an intelligent interactive Agent system. 4, a series of tool modules are integrated through the integrated tool management module, the tool modules comprise a text search tool, a weather query tool and a video information acquisition tool, each tool module works independently or is in linkage with other tool modules, and the tool modules are connected with the integrated tool management module. And 5, managing a user interaction interface through a front-end management module, supporting a user to query and control in a natural language, displaying a processing progress and a processing result in real time, and providing feedback and help information.

The invention belongs to but is not limited to the technical field of software development, and particularly relates to a multi-round reasoning and feedback optimization method and system for industrial software codes, and the method comprises the steps: S1, vector code library establishment: the establishment of a vector code library is composed of three parts of feedback establishment, vector database establishment and format summarization; s2, code reasoning optimization: the code reasoning optimization mainly comprises four aspects: control flow graph analysis, multi-query generation and reciprocal ranking fusion retrieval, reasoning generation subtask and code chain submodule generation, and code combination completion; and S3, feedback optimization: the feedback optimization is composed of score feedback optimization and log feedback optimization. According to the method, an automatic verification mechanism is introduced, logic consistency check and performance evaluation are carried out on the generated and optimized codes, and the correctness and execution efficiency of the codes are ensured. The verification mechanism can find and correct errors in real time in each stage of generation, so that the cost of manual verification is reduced, and the development efficiency is improved.

The invention discloses an unmanned warehouse shelf-oriented automatic cargo checking method and system, and the method is characterized in that the method comprises the following steps: employing a target detection algorithm to extract a cargo boundary frame from captured continuous cargo images; for each cargo bounding box, calculating shape features, color features, texture features, size features and local features of the cargo in the cargo bounding box, and splicing feature vectors of the cargo according to the features; pre-defining cargo templates of different types of cargos, matching the cargo templates with the feature vectors of the cargos so as to obtain a category label of each cargo bounding box, and iteratively optimizing the target detection algorithm through a loss function; and tracking the goods extracted by the target detection algorithm by using a Kalman filtering target tracking algorithm, and obtaining the position and quantity information of the goods from the continuous goods images.

The invention discloses a protocol method for realizing intelligent connection of a PLC (Programmable Logic Controller) with an AI (Artificial Intelligence) large model, which relates to the technical field of industrial automation, and comprises the following steps: in a PLC system, configuring an MCP client module by defining basic parameters of an MCP, and embedding a context management module in the MCP, the basic parameters comprising a data format, a communication protocol and a security mechanism; and establishing a bidirectional communication channel between the PLC and the AI system based on the configured MCP client module. According to the protocol method for intelligently connecting the PLC with the AI large model, seamless connection between the PLC and the AI system is achieved by defining a unified data format, a communication protocol and a security mechanism, the complexity and the error rate of data transmission are reduced, the overall data transmission efficiency is improved, and the method is suitable for popularization and application. The context management module embedded in the MCP can store and manage historical data, so that the AI system can make intelligent decisions based on comprehensive data, and the accuracy is improved.

The invention relates to the technical field of printing and silk-screen identification, and particularly discloses an OCR (Optical Character Recognition) method and system for PCB (Printed Circuit Board) component printing and silk-screen. PCB images under visible light, near-infrared and ultraviolet light wavebands are acquired by utilizing a multispectral imaging technology, the visibility of characters is improved, and the interference of a high-reflection or shadow region is inhibited; the quality coefficient of the image is obtained by calculating the structural similarity of the image on different scales, and the quality coefficient is compared with a preset threshold value, so that a high-quality image is automatically screened out; the method comprises the following steps of: comprehensively analyzing each region by extracting contrast, brightness and sharpness data of a high-quality image, and determining and marking effective character regions; a dynamic time warping algorithm is adopted to calculate a deviation coefficient between an actual silk-screen characteristic and a design file characteristic, and whether a printing error exists in silk-screen or not is accurately recognized by comparing the deviation coefficient with a preset threshold value.

The invention provides a Chinese electronic medical record named entity recognition method based on a multi-head attention mechanism and a pulse neural network (SNN), and the method comprises the steps: obtaining a dynamic word vector through a pre-training BERT model, obtaining a text code through a bidirectional long short-term memory network (BiLSTM) model, and screening the features of the code through the SNN network for a named entity in an electronic medical record; the multi-head attention mechanism calculates the dependency relationship between characters, enhances the relevance to the context, and finally outputs a final sequence through a conditional random field (CRF) module to obtain an entity recognition result. According to the method, the time cost is remarkably reduced, the efficiency and precision of identifying the named entities in the medical text are improved, and a more efficient and accurate technical solution is provided for the field of medical information processing.

The invention provides an efficient article sorting method and system of an intelligent warehousing system, and relates to the technical field of intelligent warehousing systems.The method comprises the steps that warehousing real-time environment data and a target image set for target objects to be sorted are obtained; inputting the target image set into a preset object classification model to determine a target classification corresponding to the target object; determining at least one candidate free goods allocation matched with the target classification, and determining a target transportation path of the target object according to each candidate free goods allocation, the storage real-time environment data and the target classification; determining a target clamping strategy matched with the target classification; and the target path and the target clamping strategy are sent to the AGV and the mechanical arm correspondingly, so that the AGV and the mechanical arm cooperatively sort the target objects. Therefore, the intelligent level of the intelligent warehousing system is remarkably improved, and automatic sorting tasks for various objects can be completed more intelligently.

The invention relates to the field of forklift welding, in particular to a forklift gantry welding positioning device which comprises a supporting frame, a stand column fixing mechanism used for fixing gantry stand columns, a part positioning mechanism used for driving parts to move, a plurality of feeding mechanisms and a control unit. And the control unit is electrically connected with the stand column fixing mechanism and the component positioning mechanism. The stand column fixing mechanism is used for clamping, fixing and rotating positioning of the portal stand column, the part positioning mechanism is arranged for moving and positioning parts, the whole process is controlled by a motor, the automation degree of portal welding and the welding positioning precision are improved, and the production efficiency is improved. Meanwhile, various parts can be clamped and fixed through the part positioning mechanism, and the welding tool does not need to be replaced.

The invention belongs to the technical field of microorganisms, and particularly relates to a microorganism detection culture device and method.The system comprises an intelligent environment control system, and a sensor monitors the temperature, humidity and gas concentration of a culture environment in real time to ensure that environment parameters needed by microorganism growth are kept in the optimal state; the automatic sample processing and operating system avoids pollution or errors caused by manual intervention through a mechanical arm or an automatic transmission device; the real-time image monitoring and analyzing system is used for monitoring the growth state of the microorganisms in the culture dish; the camera can continuously shoot images in the culture process; the rapid detection module rapidly obtains activity information of microorganisms, rapid detection is achieved, and time needed by traditional culture is shortened. According to the invention, accurate control, automatic operation and rapid detection are realized, and an efficient, safe and intelligent solution is provided for microbial culture and detection.

The invention relates to a poplar property high-throughput accurate quantitative identification method, system, equipment and medium, the innovation of the method lies in that spectral data analysis and automatic script processing are combined, efficient data acquisition, import, matching and storage are realized, abnormal point detection is carried out by introducing principal component analysis and anti-noise mahalanobis distance, a data set is optimized, and the identification accuracy of the poplar property is improved. Building and training a model to realize high-flux accurate prediction of the material property and the density; a sample control module, an acquisition test module, an automatic processing module, a data set determination module and a result output module are integrated on the system, so that full-process automatic and intelligent management is realized; the equipment comprises a database and a memory, and the method is cooperatively executed through the database and the memory to ensure efficient operation of the method; a computer readable medium stores executable instructions, which is convenient for wide deployment and application. The method is excellent in high-throughput analysis, cost saving, environmental protection and data accuracy, and development of the poplar property identification technology is effectively promoted.

The invention provides a control cabinet assembly system and assembly method, and relates to the field of control cabinet assembly, and the scheme is that the control cabinet assembly system comprises a control module and further comprises an identification module, the identification module is used for identifying a bar code on a control cabinet body, and the bar code comprises layout information of a control cabinet to be assembled; the display module is used for displaying the types and the numbers of the required electrical components, the fixing pieces and the connecting wires, and is also used for displaying the mounting positions of the corresponding electrical components; and the control module is electrically connected with the identification module and the display module, and the control module is used for storing and calling the corresponding assembly sequence, and is also used for controlling the display module to display the installation positions of the corresponding electrical components according to the assembly sequence of production. The assembling accuracy and the assembling efficiency of the control cabinet can be improved.

The composite phase-to-phase spacer comprises the unmanned aerial vehicle and a balance rope ladder installed at the bottom of the unmanned aerial vehicle, the bottom end of the balance rope ladder is connected with a hoisting platform and a spacer assembly connected with the hoisting platform, and the hoisting platform comprises a connecting rod, a connecting rod, a connecting rod, a connecting rod, a connecting rod and a connecting rod; an auxiliary platform housing; an electric control assembly; the spacer assembly comprises a spacer rod; a magnetic structure; a wire locking hook; and a telescopic assembly. Compared with a traditional spacer rod installation mode, a worker needs to directly climb a tower or conduct wiring in traditional high-altitude live-line work, and high safety risks exist, the unmanned aerial vehicle is used for live-line installation of the spacer rod, the hoisting platform and the spacer assembly which are connected through a flexible structure are adopted, and the safety risk is high. The effect of accurate positioning is achieved according to the positioning auxiliary frame while good wind resistance and insulation effect are achieved.

The invention belongs to the technical field of welding, and discloses a dissimilar metal power modulation galvanometer laser welding method which comprises the following steps: finely cleaning a 6061 aluminum alloy and a 304 stainless steel plate by using acetone, and then airing for more than 20 minutes; the aluminum steel sheet is assembled, pressed and fixed on a welding test platform in a steel-up-aluminum-down mode; the position of the welding test platform is adjusted, argon serves as welding protection gas, and a protection gas nozzle is arranged to be aligned with a welding pool area; laser welding parameters are set, a laser power modulation mode is set to be a gradient power mode, and the gradient power mode is to regulate and control phase point laser power in a circular scanning track in the advancing direction of a welding seam; a welding test is carried out in the mode that a galvanometer laser head is fixed and a welding test platform is moved, and a laser and the welding test platform are synchronously started and stopped; and the protective gas is started 5 seconds before the laser is started, and after the laser is stopped, the protective gas is stopped lagging for 10 seconds so as to continuously protect the welding seam and prevent oxidation.

The invention relates to the field of automation, the field of artificial intelligence and the technical field of code quality management, and provides an automatic online code review method and system. The method comprises the following steps: compiling a self-defined rule description document, and compiling or updating a formulated coding specification document; a webhook request is set in a code warehouse in advance and used for automatically triggering an external service or process when a specific event occurs in the code warehouse; compiling or modifying codes, and manually / automatically submitting the codes to a code warehouse; the code warehouse automatically triggers a pre-configured webhook request, and then an interface of an AI code review system is called for code review; the AI review system pulls the to-be-reviewed code, performs rule matching on the to-be-reviewed code according to preset rule template configuration, detects whether a code violating a rule exists or not, and generates a review report after review is completed; wherein the rule template configuration comprises a rule description document and a coding specification document.

The invention discloses a digital agent oil field intelligent optimization system based on a large model. The invention discloses a digital agent oil field intelligent optimization system based on a large model, and the system comprises a digital twinborn layer which is used for carrying out the real-time monitoring, optimization and prediction of the operation state of oil field equipment; the intelligent agent system is used for decomposing tasks according to user requirements, calling small models and interacting with a user; the identification type small model is used for processing real-time data of equipment operation and providing a prediction analysis result; the generation type large model is used for processing a user instruction through a natural language and generating an operation instruction, an optimization suggestion and a report in combination with a result of the identification type small model; the invention aims to solve the problem of complex optimization in oil field operation by constructing an intelligent agent combining a large model and a field-specific identification type small model.

The invention relates to the technical field of laser marking, in particular to a jeans cat whisker effect laser manufacturing method and system, and the method comprises the following steps: scanning the position on jeans through a laser marking machine, determining the starting point position and pattern contour of a cat whisker pattern, collecting and recording pattern coordinates, and generating laser starting point position data. According to the method, the starting point and the contour of the pattern are determined through accurate scanning, the fineness of the pattern and the positioning accuracy are ensured, the depth of the pattern is finely controlled by dynamically adjusting laser parameters and adjusting the intensity and the pulse of the laser according to data monitored in real time, the quality and the consistency of the pattern are remarkably improved, and the later correction requirement is reduced; based on real-time pattern standard conformity data, the marking effect is evaluated and re-marking is carried out when necessary, high standard and low error rate of products are further ensured through iterative optimization, laser marking is more accurate, and modern production requirements of environmental protection and efficiency are better met.

The invention discloses a customizable speech synthesis method and apparatus, and an electronic device. The method comprises the steps of generating a training text set, a test text set, and cloned speech corresponding to the training text set; filtering the generated clone voice and obtaining a recognition text, and refiltering the recognition text according to a real training text to obtain a training set; training a speech synthesis model by using the training set, generating speech of the test text set by using the speech synthesis model, and counting the error rate and error phonemes of the speech; and generating an enhanced training text set containing the error phonemes to obtain an enhanced training set, and finely tuning the speech synthesis model by using the enhanced training set until the error rate is reduced to a threshold value or a stable state. Through the method, the stability of the speech synthesis model is enhanced, the data cost of the customized speech synthesis model is reduced, the model iteration period is shortened, the accuracy of customized speech synthesis is improved, and the user experience is improved.

The invention relates to the technical field of information processing, in particular to a charge application approval settlement dynamic configuration method and device, equipment and a storage medium, and the method comprises the steps: carrying out the dynamic configuration of a charge application instruction based on a preset business rule, and generating an application form meeting the business demands according to the configuration information; all links in the application, approval and settlement process are rapidly adjusted, the flexibility and adaptability of the system are improved, the process is simplified, integrity and legality verification is carried out on the application form, intelligent verification processing is achieved, manual intervention and the error rate are reduced, the automation degree is improved, and the efficiency is improved. The approval process of the application form is triggered according to the preset approval rule, cost calculation is performed according to the preset settlement rule, payment processing is performed according to the calculation result, the efficiency of cost application, approval and settlement is improved, and then the user satisfaction is improved.

The invention relates to the technical field of measurement, in particular to an integrated sensing module for a dynamic weighing system, which comprises a physical domain, an environmental domain and a virtual domain, and realizes dynamic adjustment of parameters through cross-domain interaction so as to deal with high-frequency vibration and rapid temperature difference change in a complex environment. The physical domain is responsible for collecting multi-source data, the environment domain senses external interference in real time, and the virtual domain realizes time sequence feature extraction and dynamic model updating by combining the optimization capability of a recurrent neural network and reinforcement learning. According to the technical scheme, the real-time performance and adaptability of the system are remarkably improved, the environment change trend can be accurately predicted, the weighing strategy is adjusted in advance, and the error rate is controlled to be at an extremely low level. Meanwhile, by combining a negative feedback mechanism and objective function optimization, the sampling frequency is dynamically adjusted, and the energy consumption is reduced on the basis of guaranteeing the data processing efficiency. And deep fusion of wavelet decomposition, a dynamic normalization algorithm and a neural network model is adopted, so that the accuracy and stability of data processing are greatly enhanced.

The invention provides an automatic control system and method for vacuum bag film production, relates to the field of intelligent control, and adopts a data processing and coding technology based on deep learning to carry out local time sequence implicit coding of the extrusion speed of an extruder and carry out semantic embedding coding on thermophysical property description of a vacuum bag film material. Therefore, intelligent adjustment of the cooling temperature is realized according to quick query response representation between the material thermal physical property semantic embedding feature and the local time sequence implicit coding feature of each extrusion speed. Therefore, the description about the thermal physical characteristics of the material input by the user can be directly processed, and manual parameter adjustment is not needed, so that the system can adapt to new materials or formula changes, and the operation difficulty and the error probability are reduced. Meanwhile, real-time dynamic adjustment of production process parameters can be achieved, control precision is improved, fluctuation of key parameters such as temperature is reduced, and stability and consistency of products are guaranteed.