21 results about "Smart government" patented technology

The present invention relates to the field of task management technology, specifically to a smart government service platform, which includes a priority adjustment module, a process adjustment module, an intelligent text mining module, and an intelligent matching optimization module. The present invention realizes the accurate sorting of task priorities by analyzing the historical data and user behavior of the completion of government service tasks, effectively improves the efficiency of task processing, and can adjust the workflow in real time when responding to public health emergencies or natural disasters, ensuring the immediacy and adaptability of government actions, deeply mining government text data and extracting key information, optimizing the decision support system, and enhancing the accuracy of services. By accurately analyzing the degree of matching between text content and work requirements and optimizing information display, the consistency and efficiency of the workflow are significantly improved, processing time and potential errors are reduced, thereby improving the overall response speed and quality of government services.

The present invention relates to the field of semantic synthesis technology, and discloses a speech synthesis method, device, computer device and computer-readable storage medium. The method includes: obtaining the text to be synthesized, converting the text to be synthesized into graph embedding vector information through a speech synthesis model, encoding the graph embedding vector information according to a graph encoder to generate corresponding first intermediate vector information, generating corresponding Mel spectrogram information according to the first intermediate vector information, and outputting speech synthesis information corresponding to the Mel spectrogram information, so as to realize mapping to different speech prosody rhythms by analyzing the specific semantic information of text information through a graph-assisted encoder, making the prosody adjustment process a fully automated process and improving the accuracy of speech synthesis. At the same time, the present invention also relates to blockchain technology, and the present invention can be applied to fields such as smart government affairs, smart education, and smart healthcare, thereby further promoting the construction of a smart city.

The invention relates to the technical field of unsupervised detection, in particular to a vertical industry abnormal behavior supervision method based on artificial intelligence. By introducing cross-modal alignment and minimum hypersphere anomaly detection, the quality and application value of digital process risk control are greatly improved, and an innovative solution is provided for intelligent government affairs and public services. By solving the problems of unequal alignment, boundary looseness and the like in the same dimension, the method provides a new technical path for process-level anomaly detection, and has a wide application prospect in service process compliance verification.

The present invention discloses a G‑Smart government energy carbon digital monitoring system, which relates to the technical field of energy carbon monitoring. It discloses a data acquisition module, a classification analysis module, and a learning scheduling module. The classification analysis module is set to classify and mark enterprises of different categories, so that the government can intuitively understand the energy carbon emission positioning of enterprises of different categories. The government can require enterprises of different categories to make corresponding rectifications according to the energy carbon emission positioning. The learning scheduling module is set to automatically arrange lagging enterprises in high-energy carbon enterprises to learn from suitable excellent enterprises, so that enterprises of this type can quickly discover their own problems, thereby solving the energy carbon loss problem accordingly.

The present application provides a big data operation supervision platform based on intelligent government affairs, which relates to the field of data processing technology and is used to improve the accuracy and efficiency of government affairs supervision. The operation supervision platform includes: a plurality of business processing modules, a data processing module, a data security module, and a data storage module divided according to geographical administrative regions; the business processing module is used to receive a government affairs processing request initiated by a user client, and the government affairs processing request includes user data and business request data; the data security module is used to perform security detection on the user data and the business request data; the data processing module is used to verify the user data and the business request data and extract key information; the business processing module is used to perform government affairs processing according to the key information; the data storage module is used to store the processing result and transmit the address of the stored processing result to the user client, so that the user client can view the processing result according to the address.

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.

The present application relates to the technical field of artificial intelligence, and is applied to the field of smart government affairs, and provides a Chinese long speech recognition method, device and equipment and storage medium, which are used for improving the accuracy of mandarin low-delay speech recognition in a long time period. The Chinese long speech recognition method comprises the following steps: calculating the mel-frequency cepstrum coefficient of the segmented Chinese long speech to be processed to obtain a spectrogram; performing character recognition on the spectrogram by using a target deep speech recognition model to obtain a text sequence to be processed, the target deep speech recognition model is an end-to-end model based on connection time sequence classification, and the target deep speech recognition model comprises two convolution layers, four bidirectional long short-term memory networks, one look-ahead layer and one fully connected layer; estimating the probability of the text sequence to be processed by using a language model in the target deep speech recognition model, and determining a target recognition text sequence based on score data. In addition, the present application also relates to the technical field of block chain, and the target recognition text sequence can be stored in a block chain.

The present disclosure provides an event aggregation method, device and equipment based on multimodal data. The present disclosure relates to the field of artificial intelligence, specifically natural language processing, deep learning technology, etc., and can be applied in smart city and smart government scenarios. The specific implementation scheme is: when processing the multimodal data to be processed, the event classification results and event address information corresponding to each multimodal data are determined respectively, and the multimodal data to be processed are clustered according to the event classification results and event address information to obtain at least one cluster cluster. Thus, a method for performing event aggregation on multimodal data based on event classification results and event address information is provided, which conveniently realizes event aggregation on multimodal data.

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.

Embodiments of the present application relate to the field of artificial intelligence technology, and specifically to a method and system for generating business text summaries based on a smart platform. Obtain the smart government business conversation text stream; mine the business interaction state knowledge vector chain from the smart government business conversation text stream according to the node set mined from the business interaction state; based on the business element heat evaluation data of each business interaction state knowledge vector in the business interaction state knowledge vector chain, determine the state knowledge confidence of each business interaction state knowledge vector; based on the state knowledge confidence, determine the target key conversation text semantics from the business interaction state knowledge vector chain. The smart government platform system can realize the automatic summary generation function of the online business conversation to be processed, thereby improving the efficiency and quality of government affairs processing.

The present disclosure provides a formula recognition method, apparatus, device, storage medium and program product, which relates to the fields of artificial intelligence technologies such as computer vision, deep learning, and image processing, and can be applied to scenarios such as smart finance and smart government affairs. The method comprises: using an encoding network to obtain a feature map of an image to be recognized containing a formula, and using a global row attention module in a decoding network to obtain a row count heat map corresponding to the feature map; using a decoding network to sequentially decode the features in the feature map: processing the row count heat map and the feature coding of the decoded formula symbol, and further processing the current hidden layer state and the feature map attention module obtained after processing to obtain a regional image of the formula symbol to be decoded; processing the regional image, feature coding, current hidden layer state and row count heat map to obtain an output formula symbol recognition result; generating a formula symbol sequence from the formula symbol recognition results sequentially output by the decoding network.

1. Name of the product in this design: General Mobile Platform for Intelligent Robots. 2. Application of this design: It is intended to provide a general mobile robot motion platform to support the digitalization, networking, and intelligentization of businesses such as education and scientific research, engineering training, metaverse modeling, inspection and patrol, smart home, and intelligent delivery. It can be applied to application scenarios such as smart government affairs, smart education, medical and health care, supermarkets, retail, catering, hotels and travel, smart homes, and intelligent manufacturing. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. Design 1 is designated as the basic design.

According to the big data operation supervision platform based on intelligent government affairs, a semantic vector set capable of expressing a policy goal is established, and a unified government affair behavior life cycle diagram is constructed, so that structured mapping between the policy goal and an operation behavior is realized; through fusion of semantic similarity and flow structure consistency calculation and in combination with a deviation punishment mechanism, a deviation path which does not conform to policy intention, flow specifications or compliance requirements is accurately identified, and structured labeling is carried out; for the identified deviation path, introducing a causal analysis method of laws and regulations priority, cross-department interaction strength and policy association constraint, constructing a causal chain of deviation propagation and positioning an initial responsibility node, and ensuring that the responsibility chain has interpretability and reproducibility; and finally, integrating the causal chain and responsibility node information into a unified abnormal event object, calculating a risk priority, and generating a supervision action which can be directly executed in combination with a compliance feasibility condition, thereby realizing closed-loop management from problem discovery and cause analysis to execution and disposal.

The present disclosure provides a method for training a detection model, which relates to the field of artificial intelligence technology, especially to natural language processing, deep learning, and pre-training model technology, and can be applied in smart city and smart government scenarios. The specific implementation scheme is: inputting a sample image into a first detection model to obtain a first backbone network output feature; performing at least one convolution process on the first backbone network output feature to obtain a first query feature, a first key feature, and a first value feature; obtaining a query loss based on the second query feature and the first query feature; obtaining a key loss based on the second key feature and the first key feature; obtaining a value loss based on the second value feature and the first value feature, wherein the parameter amount of the second detection model is greater than the parameter amount of the first detection model; and training the first detection model based on the query loss, key loss, and value loss. The present disclosure also provides a target detection method, device, electronic device, and storage medium.

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.

1. Name of the Design Product: General Mobile Platform for Intelligent Robots (Multi-Floor). 2. Use of the Design Product: It is used to provide a general mobile robot motion platform support for the realization of digitization, networking, and intelligence in business such as education and research, engineering training, metaverse modeling, inspection and patrol, smart home, intelligent distribution, etc., and can be applied to application scenarios such as smart government affairs, smart education, medical care and rehabilitation, finance, shopping malls, retail, catering, hotel and tourism, smart home, intelligent manufacturing, etc. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photo Most Indicating the Design Key Points: Perspective View 1.

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.