13 results about "Problem identification" patented technology

The invention discloses a film pasting quality detection method. The method comprises the steps of anti-reflection visual detection, repeated film visual detection and film pasting quality detection. According to the method, a visual detection mode is adopted, the problem of misjudgment of mixed materials caused by similar single features of different products is solved through cooperative comparison of the three-dimensional features of the sizes of the positioning holes, the frames and the base islands, and the recognition accuracy is larger than or equal to 99.9%. And the self-determined characteristics of the frame are taken as the reference, so that the offset calculation deviation caused by the placement error of the product is avoided. The method replaces manual work, greatly reduces the abnormal probability of product quality, and improves the production efficiency. A pipelined detection process is adopted, the single-piece detection time is less than 1s, rapid switching of multiple product types is supported, and detection parameters are automatically matched through a feature database. And various abnormal state information during detection is recorded, so that subsequent tracing is facilitated.

This invention relates to a traceability method for the processing technology of wheel hub bearing units, belonging to the field of wheel hub bearing processing and manufacturing technology. The method includes the following steps: Step 1: Establishing a unique identifier and coding system for each component or batch of parts that make up the wheel hub bearing unit. Step 2: Collecting and binding key process data throughout the entire process. Step 3: Constructing an integrated traceability management platform; integrating, analyzing, and presenting discrete data. Step 4: Employing industrial internet identifier resolution and using blockchain technology for tamper-proof storage of key data. Through technologies such as unique identifiers, data binding, AI quality inspection, SPC analysis, and blockchain storage, data collection, integration, and tamper-proof storage are achieved at every key stage from raw materials to finished product delivery, thus providing solid data support for quality control, problem identification, and continuous optimization.

The invention relates to the technical field of artificial intelligence, in particular to a consumer evaluation content intelligent analysis and reply system based on the artificial intelligence technology, and the system comprises a data collection and preprocessing module which collects consumer evaluation data from a plurality of platforms; the consumer portrait dynamic updating and predicting module constructs and dynamically updates a consumer portrait model, and predicts future behaviors and demands of the consumer portrait model in real time; the evaluation content analysis module performs content analysis on the evaluation data; the semantic understanding and question recognition module recognizes questions and demands concerned by consumers; the intelligent reply generation module automatically generates reply content; and the multi-language support and man-machine collaboration module realizes evaluation content analysis and reply generation of multiple languages. According to the method, the accuracy and the real-time performance of personalized recommendation are improved, and the intelligent level and the user experience of the system are remarkably enhanced.

The invention discloses a personalized service recommendation method, device and equipment and a storage medium, and relates to the technical field of big data, and the method comprises the steps: collecting feedback data of clients in different channels in a unified manner through a platform, and determining a feedback sentiment analysis result, a customer satisfaction score value, a potential problem, a customer life cycle stage, point rewards, exclusive preferences and comprehensive behavior characteristics according to customer feedback data, and comprehensively generating a personalized service recommendation scheme. The feedback data on different channels are collected through the unified platform, and the validity of the feedback data is ensured; real-time analysis is carried out according to collected feedback data, analysis is carried out in the aspects of feedback emotion, customer satisfaction, potential problem recognition, life cycle stages, point rewards, exclusive preferences and the like, the real emotion and requirements of customers are accurately recognized, and the accuracy and reliability of analysis results are ensured; and personalized service recommendation is provided through comprehensive analysis of behavior characteristics, so that the customer satisfaction is improved.

This invention discloses a method for quality consistency detection in the assembly process of electromechanical products, specifically relating to the field of assembly quality inspection of electromechanical products. The method includes: S1. Pre-assembly three-dimensional coordinate benchmark modeling of components, establishing an assembly benchmark coordinate system, acquiring the three-dimensional model and extracting key feature points to generate a benchmark coordinate library; S2. Component production deviation detection and accessory optimization, acquiring actual coordinates, calculating deviations, scoring according to a multi-dimensional weighted model, and deciding on accessory replacement based on the score; S3. Initial assembly of components, installing accessories sequentially according to the assembly work instructions; S4. Second inspection, verifying the assembly sequence and detecting spatial position deviations of components and torque and angles of connectors; S5. Comprehensive quality consistency scoring and judgment, scoring according to the model and classifying quality levels; S6. Assembly deviation correction and verification, tracing the causes of deviations and making targeted corrections until the score meets the standard. This method improves detection accuracy and problem identification rate, reduces costs, and ensures assembly quality consistency.

The invention discloses a cosmetic evaluation method, device and equipment and a medium, and relates to the technical field of cosmetic evaluation, and the cosmetic evaluation method comprises the following steps: S1, collecting physical optical fingerprints; s2, carrying out short-term sensory and multi-modal acquisition; s3, time sequence texture and microstructure extraction; s4, accelerated disturbance and response fitting; s5, interpretable coupling modeling is carried out; s6, performing grouping optimization and evaluation output; according to the method, the output of the interpretable coupling model and the layered consumer preference are combined for multi-objective optimization, so that the evaluation result not only represents general performance, but also can directly reflect the preference and weight difference of different user groups to the performance dimension. And for a certain target group, the model can point out the most effective improvement direction and influence factor, so that the closed-loop time from problem identification to formula iteration is shortened. Compared with a single total score, the mechanism enables the evaluation result to be more operable and economic rationality in commercialized positioning, iterative priority setting and small-batch trial-production.

The invention discloses a code completion method and device, a medium and a program product, and relates to the field of artificial intelligence. The invention discloses a code completion method, which comprises the following steps of: training a deep learning model by adopting behavior historical data and code item-level context for user codes to obtain a user code preference model; generating complemented code data according to the to-be-complemented code data and the user code preference model; and when the complemented code data is adopted, performing problem identification and repair on the to-be-complemented code data and the complemented code data according to the code static analysis engine to obtain a target code. According to the technical scheme, the complementation codes can be intelligently recommended for the user according to the ideas and preferences of the user, and the personalized requirements of clients are met.

The invention relates to the technical field of corpus processing, in particular to an electricity marketing-oriented corpus entity collection method and system. Receiving a current question input by a target user through the intelligent interaction terminal, and performing feature extraction according to the current question to obtain text feature parameters; performing identification complexity analysis according to the text feature parameters, and outputting problem identification complexity; if the question recognition complexity is smaller than or equal to a preset complexity threshold value, calling a single semantic recognition model to recognize the current question, and outputting a user intention recognition result; and if the problem identification complexity is greater than a preset complexity threshold, calling a single semantic identification model and a mixed semantic identification model to carry out comprehensive identification on the current problem, and outputting a user intention identification result. According to the method and the system, precision, high efficiency and adaptation of user intention recognition in an electric power marketing scene can be realized.

The invention relates to the technical field of digital data processing, in particular to a manufacturing industry digital assessment management method and system, and the method comprises the steps: collecting obtained product sampling inspection data of a plurality of injection molding part suppliers of the same part; based on the product sampling inspection data, identifying and classifying unqualified products by adopting a part problem identification model; obtaining production data corresponding to unqualified products of the supplier; screening the product production data according to the problem category of the product to obtain target problem data; calculating a supplier score based on a difference value of the target problem data deviating from the reference data; and rating a plurality of suppliers of the part based on the supplier scores. Therefore, comprehensive assessment can be performed on the suppliers in combination with the production data of the unqualified products, so that the assessment dimension is improved, the suppliers can be managed more finely, and the management efficiency is improved.

The invention provides a subsidy order intelligent auditing method and device, a storage medium and electronic equipment, and is applied to the technical field of artificial intelligence. According to the invention, the problem identification is carried out on the order by obtaining the target subsidy order and the transaction data and merchant information associated with the target subsidy order. And after determining that the order is a non-problem, inputting the order into a pre-trained risk assessment model, performing multi-dimensional risk feature analysis, and outputting a risk score and a grade. And based on the scores, carrying out risk grading on the order by adopting a weighting system, and if the risk grade is low risk, issuing subsidy and generating an electronic auditing report. According to the invention, problem identification and risk assessment are carried out by associating the multi-dimensional information, the auditing efficiency and accuracy of the subsidy order are significantly improved, and reasonable use of subsidy funds and protection of consumer rights and interests are ensured.

The invention discloses a question identification method and device, a storage medium and electronic equipment, and relates to the technical field of data processing, and the method comprises the steps: responding to a call between a user and an intelligent customer service, and obtaining question information of the user; performing intention analysis on the question information to generate question intention summary information of the user; matching the questioning intention summary information with a question information set used by the intelligent customer service for conversation, and generating target question information not contained in the question information set; and storing the target problem information in a problem information set, so as to update the problem information set used by the intelligent customer service for conversation. According to the invention, the question intention summary information is matched with the question information set used by the intelligent customer service in the call, and the target question information not contained in the question information set is generated, so that comprehensive collection of user questions in the call process is realized, the accuracy of new question recognition of the user is improved, and the user experience is improved. And continuous improvement of the intelligent customer service response system is realized.

The application relates to the field of customer complaint management, and specifically discloses a customer complaint intelligent management method and device and electronic equipment. First, customer complaint text data, customer complaint audio data and customer complaint picture data collected by a complaint platform are acquired, then deep learning technology is used to perform feature extraction and correlation analysis on the three, and finally, a classifier is used to obtain customer complaint problem classification labels, so that more comprehensive and accurate problem identification is realized, and then the enterprise is helped to quickly respond, improve products or services, optimize the complaint management process, and improve customer satisfaction and loyalty.