8results about How to "Avoid silos" patented technology

The invention discloses a river regulation data analysis management system and method based on artificial intelligence, and relates to the field of intelligent management, and the system comprises a main control module which is used for the general control of the data stream editing and instruction transmission of each function module; the water layer division module is used for defining and dividing a water layer of a target water area, dividing the water area into a plurality of independent water layers according to hydrological characteristics, and distributing a unique identifier for each water layer; the silt collection module is used for acquiring obstruction accumulation data in a specified water layer through a sensor network; the floating acquisition module is used for acquiring floating object coverage data in a specified water layer; fusion analysis is carried out on multi-dimensional and real-time collected data by using an artificial intelligence deep learning algorithm, and the deterioration risk probability of a specific period in the future can be output, so that a management department can identify a high-risk area and intervene in advance before a water quality or sedimentation problem actually occurs or deteriorates, and then the logic of river regulation is assisted to be changed.

The invention relates to the technical field of conference recording pens, and discloses an intelligent conference recording pen and a using method thereof.The intelligent conference recording pen comprises a shell and a button, the button is installed at one end of the shell, and the button sends out a signal to judge whether use is needed or not; the camera module is installed at one end of the shell and located above the button, and information data are collected through the camera module. The AI analysis module is used for automatically deducing reasons, influences and associated subjects behind keywords on the basis of voice contexts, a causal time sequence venation diagram is constructed on a paper surface through laser, fragment information is structured, the complete context can be completely restored, factual contradictions or key information missing can be recognized through cross-modal semantic comparison, and the semantic recognition efficiency is improved. According to the method, the invisible wavy lines or question mark marks are projected below the wrong notes, and the corresponding audio timestamps are bound, so that execution deviation caused by wrong notes is avoided, and the fact accuracy of conference summary is improved.

The application discloses a kind of based on multi-source information intelligent agent's electric load feature extraction system, it is related to load sampling technical field.The system includes multiple information processing intelligent agents and at least one comprehensive intelligent agent.For receiving original electric power related data and extracting the basic feature vector of this source domain.Task perception interface is used to obtain the feature requirement information of target analysis model.Dynamic collaborative scheduler dynamically selects the intelligent agent set participating in collaboration according to feature requirement information, and allocates real-time computing resources and data sampling strategy for each selected intelligent agent.Feature collaborative recombination engine receives the basic feature vector output by selected intelligent agent, and carries out cross-domain collaborative fusion, generates the electric load feature tensor adapted to target analysis model.Effectively solve the problem of insufficient multi-source information fusion depth and low feature recombination accuracy, significantly improve the flexibility of feature extraction and the adaptation ability to complex analysis model.

The present application relates to the technical field of charging control, and particularly relates to a battery intelligent charging scheduling and dynamic power management method and system for a battery swap station, comprising a data acquisition module, a charging scheduling decision module, a charging control execution module and a temperature control cooperation module, the data acquisition module acquires the SOC, charging state, voltage, temperature and BMS charging permission flag of the battery; the charging scheduling decision module performs multi-dimensional safety inspection on the battery, calculates three-level dynamic weight values and sorts them, and selects a target charging battery according to a limit mode; the temperature control cooperation module calculates temperature control power consumption and feeds it back to the decision module, and obtains available charging power by deducting the temperature control power consumption and safety redundant power from the total power of the cabinet machine; the charging control execution module turns on the charger for the target battery and sets four-stage curve charging parameters, and adjusts the charging stage in real time to protect the battery. The present application can realize the cooperative management of charging and temperature control, and improve the battery turnover efficiency and charging safety.

The invention relates to the technical field of railway communication monitoring, provides a remote monitoring and environment control method and device of a GSM-R system, and solves the problems of low intelligent level and poor security response efficiency of environment monitoring of a railway communication base station. The method comprises the following steps: collecting original signals and event data of each sensor in a base station environment where the system is located; performing optical coupling isolation on the digital signal to generate first pre-processing data, and performing program control amplification on the analog signal to generate second pre-processing data; fusing the two types of data and the event data into a monitoring data set; mining an abnormal mode set from the data set by using a time sequence mode mining algorithm; constructing an event inference graph based on the set, calculating a threat evaluation value by analyzing an event association relationship, and generating a corresponding security strategy when the threat evaluation value exceeds a threshold value; and packaging the strategy instruction into a special protocol data packet, issuing the special protocol data packet to a base station environment controller, and coordinating execution equipment. According to the invention, the intelligent level and security response efficiency of railway communication base station environment monitoring are improved.

The application relates to the field of big data analysis, and discloses a user portrait construction method and system based on multi-source heterogeneous data fusion. The method comprises the following steps: obtaining original log streams from a multi-source heterogeneous environment, extracting feature representation vectors, analyzing weights, performing weighted processing, obtaining a weighted feature sequence, calculating mutual information values of the weighted feature sequence, performing feature fusion, performing matching degree checking, sorting and user binding according to a historical benchmark portrait, obtaining a binding behavior label set, analyzing the binding behavior label set, inputting the binding behavior label set into a pre-trained incremental learning model, obtaining core label values after variance checking, performing mapping processing to generate an optimized recommendation sequence, executing the optimized recommendation sequence, collecting interaction behavior logs, and realizing dynamic evolution of a user portrait. The application can realize efficient integration of multi-source data and dynamic updating of portrait labels, and further improve the accuracy and timeliness of a user portrait.

The invention discloses a fabricated intelligent building management method and system based on a BIM model, and belongs to the technical field of intelligent building management, and the method comprises the following steps: S1, constructing a digital passport; s2, intelligent design collaboration; s3, self-adaptive production regulation and control; s4, dynamic construction management; s5, AI block chain collaboration is carried out; s6, performing self-learning operation maintenance; according to the invention, intelligentization and refinement of fabricated building are realized, a BIM-based fabricated building intelligent construction management system is constructed, effectiveness of the management system is evaluated, control key points of different control levels of the fabricated building intelligent construction management system are determined, and fabricated building system environment and system elements are determined. According to the BIM technology, a synergistic effect mechanism among subsystems is mined, each characteristic index in the system is determined, an intelligent management system is determined through quantitative and qualitative combined analysis, importance analysis is carried out on effectiveness influence factors, and information islands and repeated work in traditional design are avoided by realizing sharing and cooperative work of design information through the BIM technology.

The present application relates to the technical field of intelligent earthquake rescue, in particular to a method and system for earthquake search and rescue robot joint search and rescue based on swarm intelligence, which comprises: constructing a distributed communication network and a role dynamic allocation mechanism of the earthquake search and rescue robot cluster; using an improved particle swarm optimization algorithm to realize global path planning and regional collaborative coverage of the cluster; completing life signal and dangerous area identification through multi-robot heterogeneous sensing data fusion; sharing search and rescue information and decision-making collaboration based on group consensus mechanism; introducing a feedback regulation mechanism to dynamically optimize the cluster search and rescue strategy. Compared with the technical problems of low single machine operation efficiency, limited coverage range and serious information island in the prior art, the present application realizes the collaborative closed loop of the earthquake search and rescue robot cluster through swarm intelligence, and improves the search and rescue efficiency, coverage integrity and target recognition accuracy in the earthquake debris environment.