8 results about "Smart government" patented technology

This application discloses a method and system for reviewing government documents based on historical case analysis, belonging to the field of smart government platform technology. The method includes: acquiring archived historical case data and target government documents to be reviewed from the government approval system; performing structured modeling on the historical case data to form a case database containing content features, review conclusions, and business categories, thus achieving a computable representation of experience data; extracting multi-dimensional features from the target documents, combining the reliability weight of the business category obtained from clustering, the similarity weight between the target documents and historical cases, and the importance weight of each review dimension; employing a multi-layered weighted voting mechanism to generate a comprehensive review score for the documents through the fusion calculation of the three weights, and automatically outputting the machine review conclusion based on the score threshold. This achieves a transformation from manual experience to data-driven decision-making, effectively improving the accuracy, consistency, and intelligence level of government document review.

1. Name of the product in this design: Industrial Flat Panel (GP-6021KI-05DS-F-DL). 2. Application of this design: This product is used in fields such as industrial manufacturing, smart government affairs, smart retail, and smart healthcare. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention provides a government affair work order processing method and device, electronic equipment and a storage medium, relates to the technical field of intelligent government affair, and is used for realizing precise classification and intelligent splitting of government affair work orders, remarkably improving the accuracy and efficiency of cross-department work order processing and enabling a system to automatically adapt to policy changes. The method comprises the following steps: inputting government affair work orders into a rough classification model for preliminary classification; when the confidence degree output by the coarse classification model is smaller than or equal to a preset threshold value, inputting the government affair work order into a plurality of classification models of a fine classification layer for secondary classification; the weight of the classification model is dynamically adjusted based on the semantic association degree between the government affair work order and the latest policy library; calculating a weighted confidence coefficient based on the confidence coefficient and the weight output by the classification model; and sending the government affair work order to a single disposal department for processing based on the statistical characteristics of the weighted confidence corresponding to each classification model, or splitting the government affair work order into a plurality of government affair sub-work orders and respectively sending the government affair sub-work orders to a plurality of disposal departments for processing.

The invention discloses an intelligent government affair information identification processing system and identification method based on big data, and relates to the field of information identification, and the method comprises the steps: obtaining government affair information and a standardized input set, executing field cutting and unified naming, configuring a minimum evidence vector, generating an evidence cost weight matrix, and recording evidence account book entries; policy caliber field matching is executed, an evidence gap list is formed, and a field-level evidence driving chain is configured. By constructing a minimum evidence vector generation module, a rule constraint solving module, a state collaborative recognition module, a privacy alignment analysis module, a risk routing decision module and a compliance audit write-back module, an intelligent recognition closed-loop system covering the whole process of data acquisition, logic constraint, state tracking, privacy protection, risk decision and compliance audit is formed.

The invention discloses a government industry interaction data management and control method, system and device based on a large model, and the method comprises the steps: S1, carrying out the preliminary screening of a communication text inputted by a user in a public data open platform of the government industry, so as to recognize and judge whether the communication text is negative public opinion information or not; s2, identifying and extracting names, company names, disease names and media sensitive information from the communication text judged as non-negative public opinion information by using a large model, and performing desensitization processing; s3, detecting the personal information in the communication text after the desensitization processing, and replacing the personal information; and S4, taking the replaced text as an output text of the public data open platform. According to the invention, a healthier, transparent and efficient online interaction environment can be provided, the platform security and stability can be improved, the trust and satisfaction of the public to government services can be enhanced, and the development of intelligent government affairs can be promoted.

The invention discloses an intelligent government affair information data management system based on digital management, and relates to the technical field of data processing, and the system comprises an information classification and recognition end which carries out the real-time analysis of whether an information artifact appears or not during business handling through collecting the window dynamic state during business handling in real time and combining the window dynamic state, timely judging whether the government affair information data is abnormal or not; the waiting delay prediction end predicts the business handling influence duration of different windows in real time in combination with the dynamic change, and intermittently reminds the next handling object of the influence duration; the urgent priority channel end distributes unoccupied business handling windows in real time in combination with the surrounding environment, urgent priority channel handling is achieved, and the information management utilization rate is effectively improved. According to the system, the situation that information data are repeated or wrong during service handling is avoided, the smoothness of service handling is improved, repeated broadcasting during number taking is prevented, and channel matching is carried out on service handling objects in time when unoccupied windows appear.

The present disclosure provides a data retrieval method, a model training method, an apparatus and a device, relates to the field of artificial intelligence, in particular to natural language processing, deep learning and intelligent recommendation technology, and can be applied in the scene of smart city and smart government. The implementation scheme is as follows: obtaining a query text and an instruction text input by a user; obtaining at least one entity word in the query text based on the query text; determining at least one query intention of the user based on the query text, the instruction text and the at least one entity word; and performing data retrieval based on the at least one query intention and the at least one entity word to obtain target data.

This invention relates to the field of fiscal big data processing and smart government supervision technology, specifically a knowledge graph-based fiscal fund project budget performance evaluation service system, comprising: an ideal benchmark construction module, which parses policy texts using natural language processing technology and constructs a full lifecycle ideal execution graph; a multi-dimensional data mapping module, used to acquire actual execution data; a knowledge-driven reverse simulation module, which calls preset violation risk parameters to generate a faulty simulation graph corresponding to different risk assumptions; and a dual-difference coupled decision module, which extracts the actual execution graph and, relative to the full lifecycle ideal execution graph, determines the violation evaluation result of the fiscal fund project based on the actual deviation manifold. This invention eliminates the contamination of evaluation standards by past violation inertia that may be contained in historical data, ensuring the objectivity and absoluteness of the performance evaluation benchmark.