8 results about "Emerging technologies" patented technology

An AI-based energy edge platform is provided herein with a wide range of features, components and capabilities for management and improvement of legacy infrastructure and coordination with distributed systems to support important use cases for a range of enterprises. The platform may incorporate emerging technologies to enable ecosystem and individual energy edge node efficiencies, agility, engagement, and profitability. Embodiments may forecast, plan for, and manage the demand and utilization of energy in greater distributed environments. Embodiments may use AI, IoT, and technologies that filter, process, and move data more effectively across communication networks. Embodiments of the platform may leverage energy market connection, communication, and transaction enablement platforms. Embodiments may employ intelligent provisioning, data aggregation, and analytics.

The invention provides a hotspot technology mining method and system based on scientific and technological literature data, and relates to the technical field of scientific and technological information mining, and the method comprises the steps: firstly obtaining a scientific and technological literature data set containing papers and patent literatures, and constructing a current technical element network through technical phrase extraction and semantic normalization processing; dividing the technical element network segment into a time-serialized technical element network segment set according to time slices, calculating nodes and edge time sequence importance indexes to judge an emerging technical cluster, carrying out dynamic graph representation learning and future associated edge prediction on the set, generating a potential technical combination prediction set, and evaluating the potential technical combination prediction set; and finally, generating an emerging technology theme list and a technology fusion direction list in combination with an emerging technology cluster node growth trend and a prediction association edge evaluation result, thereby improving the accuracy, comprehensiveness and foresight of hotspot technology mining.

Provided herein is an AI-based energy edge platform with a wide range of features, components, and capabilities for managing and improving traditional infrastructure, coordinating and coordinating with distributed systems to support important use cases for a series of enterprises. An Al-based energy edge platform may include a graphical neural network including a set of nodes representing at least one distributed energy resource (DER), respectively, and a set of edges interconnecting the set of nodes, respectively, where each edge represents at least one energy related feature between at least two nodes of the set of nodes. The platform may employ emerging technologies to improve the efficiency, flexibility, participation and profitability of an ecosystem and a single energy edge node. Embodiments may predict, plan, and manage energy demand and utilization in a larger distributed environment. Embodiments may employ intelligent provisioning, data summarization, and analysis to utilize an energy market connection, communication, and transaction support platform.

The embodiment of the invention discloses a self-evolution patent emerging technology discovery method and device, and belongs to the technical field of artificial intelligence and patent information analysis crossing. The method comprises the following steps: receiving a newly input patent text, and carrying out semantic embedding processing on the patent text to generate a fusion vector; based on the similarity with each historical technical cluster center and a dynamic threshold value calculated according to the cluster activeness, the fusion vectors lower than the dynamic threshold value are classified into a candidate new cluster pool, and the candidate new cluster pool is used for storing fusion vectors which cannot be classified into any existing technical cluster; when the candidate new cluster pool meets a multi-dimensional triggering condition, calling a large language model to perform multi-task deep analysis on patents in the pool, and generating an emerging technology early warning report; pushing the emerging technology early warning report to a target user terminal, and receiving target user feedback; and according to the feedback of the target user, adjusting the clustering parameters and the analysis capability of the large language model, updating the clustering parameters required for calculating the dynamic threshold and optimizing the model parameters of the large language model.

This specification provides an AI-based energy edge platform with a wide range of functions, components, and capabilities aimed at managing and improving legacy infrastructure, coordinating with distributed systems, and supporting critical use cases across various enterprises. The AI-based energy edge platform may comprise a graph neural network including a set of nodes, each representing at least one distributed energy resource (DER), and a set of edges interconnecting these node sets. Each edge represents at least one energy-related characteristic between at least two nodes within the node set. The platform may incorporate emerging technologies to achieve efficiency, agility, engagement, and profitability for the ecosystem and individual energy edge nodes. Examples include forecasting, planning, and managing energy demand and utilization in larger-scale distributed environments. Examples leverage intelligent provisioning, data aggregation, and analytics, and utilize a platform to enable connectivity, communication, and trading in energy markets.

The invention provides an industry demand-oriented dynamically adaptive education decision-making auxiliary system, and relates to the technical field of education informationization, the system comprises a data acquisition layer, a data processing layer and an event detection layer, the data acquisition layer is used for periodically and synchronously acquiring original data from a local policy database and a recruitment market database; the data processing layer adopts a locally deployed large model to perform entity recognition, relationship extraction and structured processing on the collected original data based on a preset educational knowledge graph to obtain structured semantic information; through a multi-source data real-time sensing mechanism and an RAG-fine tuning collaborative reasoning framework, dynamic capture of industrial demands is realized, when the ability popularity index suddenly increases, the system can complete event judgment, trend analysis and adjustment suggestion generation in a short time, the response period is short, the problem of education supply lag in the emerging technical field is effectively solved, and the system has a wide application prospect. And employment competitiveness of students is guaranteed.

The invention provides a technical blank space calibration and layout subject identification method based on suspected missed labeling patents, belongs to the technical field of patents, and solves the problems of technical blank misjudgment and the like caused by term diversity and indexing limitation in an existing patent analysis method. The method comprises the following steps: constructing a patent retrieval expression according to target technology description, performing retrieval, and constructing a large-field patent set; extracting high-purity seed samples from the large-field patent set, and constructing a high-purity seed set; modeling is carried out on the high-purity seed set from different technical perspectives, and a multi-dimensional behavior portrait is constructed; evaluating the to-be-evaluated patent based on the multi-dimensional behavior portrait, and generating a suspected label missing patent set; on the basis of the large-field patent set and the suspected missed labeling patent set, the technical blank area is calibrated, and a true blank and a false blank are distinguished; and identifying an underestimated layout main body and an emerging technical direction based on the large-field patent set and the suspected missed labeling patent set.

The invention discloses a biogas cold-drying dehydrator with adjustable biogas outlet temperature, which belongs to the technical field of biogas dehydration, and comprises a plurality of cold-drying devices which are sequentially connected in series, the lower parts of the plurality of cold-drying devices are fixed on the ground through a support frame, the cold-drying devices are communicated through communicating pipes, the outer side of the cold-drying device at the gas inlet end is communicated with a biogas inlet pipe, and the outer side of the biogas inlet pipe is communicated with a biogas outlet pipe. According to the invention, a modular assembly design is adopted, flexible adjustment can be carried out according to the biogas flow demand, the installation efficiency and adaptability of the equipment are improved, the device is suitable for biogas treatment systems of different scales, and the device is convenient to use, high in practicability and easy to popularize and apply. The system has remarkable advantages in the aspects of energy conservation, efficiency, stability and intelligence, provides an efficient, economical and easy-to-maintain biogas treatment solution, and has a wide application prospect in the novel technical fields of full-amount recycling of feces and the like.