18results about How to "Avoid silos" patented technology

The invention discloses an industrial silicon intelligent power distribution and control system and method. The system comprises a data acquisition and processing module, a shared feature extraction module, an intelligent control module and a power distribution module which are connected in sequence. Multi-mode operation data is collected in real time, a shared feature extraction module is adopted to perform feature extraction on the operation data, data input is provided for subsystems of the intelligent control module, and information isolated island is avoided; through cooperative work of all the modules, global optimization control over the industrial silicon production process is achieved. The intelligent control module comprises an intelligent industrial silicon submerged arc furnace baking system, an automatic electrode lifting system, an automatic submerged arc furnace transformer gear adjusting system and an automatic electric energy quality adjusting system, and each system performs task prediction based on corresponding characteristics by adopting a pre-trained model and outputs optimized parameters; and the power distribution module generates a power distribution instruction based on the optimization parameters, so that intelligent distribution of power resources is realized, and dynamic adjustment and optimal distribution of energy consumption are realized.

The present invention relates to the field of network security technology, and in particular to a network security protection method based on big data. The method comprises the following steps: obtaining original network traffic data through a data pipeline tool; dividing the original network traffic data into time windows to obtain time window traffic data; performing clustering feature description analysis based on the time window traffic data to obtain a traffic clustering label model; generating a normal traffic baseline model based on the traffic clustering label model and the time window traffic data to obtain a normal traffic baseline model. The present invention can continuously improve the security protection capability of the defense system and build a more secure and reliable network environment by continuously evaluating the performance of the defense system, analyzing the root causes of problems, and optimizing and iterating the defense system; it solves the shortcomings of traditional methods when attackers use big data technology to attack, and improves the overall intelligence level of the defense system and its ability to resist big data attacks.

The invention relates to the field of manufacturing industry digitization and industrial internet, in particular to a universal cross-industry digital base and a design method thereof.The digital base comprises a physical model layer, a cost element layer, a plug-in / matrix type extension framework, an event / item management module and a cross-system interface module, the method comprises the following steps: abstracting core elements of multiple industries based on a product structure, a process principle, material object circulation and spatial-temporal variation to form a data structure and an association relationship of a bottom layer, defining cost fields on the basis of a physical model layer, determining a trigger condition and a calculation method for updating each cost field, and calculating the cost field; a matrix type assembly strategy and an API (Application Program Interface) or a data bus are set in the digital base, and by configuring a mapping relation in a cross-system interface module, the base can take effect and realize cross-system data sharing, and the digital base can support various industries such as mechanical manufacturing, injection molding, clothing, cables and agriculture on the same digital base, and reduces multiple sets of systems and repeated construction.

The invention belongs to the technical field of medical systems, and provides a chronic disease management system which comprises a data acquisition module which monitors physiological indexes of a patient in real time through intelligent wearable equipment and automatically uploads measurement data; the data processing and analysis module automatically uploads the collected data to a cloud server, and establishes a disease prediction and risk assessment model; the health management module formulates a personalized health management plan for the patient according to the analysis result; the remote medical module provides remote communication and consultation between a patient and a doctor; the data sharing module is used for sharing and exchanging data among different medical institutions; the interaction module provides a patient operation interaction interface and registers and records basic information and illness state records of the patient; according to the invention, by establishing the disease prediction and risk assessment model, the patient is helped to know the health condition of the patient in advance and prevent the occurrence of diseases, and according to the analysis result of the disease prediction and risk assessment model, a personalized health management plan is made for the patient to realize accurate health management.

The invention discloses an unmanned aircraft and pilot management and control method and management and control system, and the method specifically comprises the steps: collecting the product identification information of an unmanned aircraft, judging that the product identification information is illegal if the product identification information cannot be obtained, and further judging whether the real-name registration is needed or not if the product identification information can be obtained; if the real-name registration information is needed, acquiring real-name registration information, if the real-name registration information cannot be acquired, judging whether the real-name registration information is illegal, if the real-name registration information can be acquired or does not need to be real-name registration, acquiring flight dynamic data to judge whether the flight dynamic data is in a suitable flight airspace range, and if the flight dynamic data is legal; otherwise, further collecting flight authorization information, and if no authorization exists, determining that the flight is illegal; and if authorization is obtained, judging whether the reported flight plan data is met, if not, judging that the flight plan data is illegal, and if yes, judging that the flight plan data is legal. The management and control system comprises a memory, a processor and a computer program capable of running on the processor and executing the management and control method. The method is wide in applicability and low in application threshold, the accuracy of legal / illegal identification can be greatly improved, and the management and control safety is improved.

The present invention belongs to the field of new energy technology, and discloses a new energy storage configuration method and system. The method comprises the following steps: constructing a regional integrated new energy generation and storage distribution map; classifying several new energy storage systems in the new energy generation and storage distribution map; collecting real-time operation data of new energy power stations, and using a power generation prediction model to predict power generation; constructing a consumption target function of the new energy power station and a cost target function of the attached energy storage cluster; according to the consumption target function and the corresponding cost target function, using a new energy storage configuration model, performing new energy storage configuration, and obtaining a new energy storage configuration plan; visually displaying several new energy storage configuration plans in combination with the new energy generation and storage distribution map. The present invention solves the problems of poor energy storage configuration effect, low accuracy, lack of value of the plan, poor real-time performance, and poor timeliness in the prior art.

The invention discloses a design method and device of a digital file pocket, computer equipment and a storage medium. The design method comprises the following steps that directory configuration information in digital file pocket creation request parameters is obtained and analyzed; generating a sub-file directory based on an arrangement sequence of sub-file directory arrays in the directory configuration information; when the digital file pocket is updated, acquiring directory configuration information in the update request parameter, and recording the directory configuration information as new directory configuration information; and comparing the new directory configuration information with the original digital file pocket, and regenerating a sub-file directory based on a comparison result and a preset rule. According to the invention, a plurality of digital file pockets can be automatically generated according to requirements, so that resources formed by service digitization cannot be scattered in different systems, and information islands are avoided. Meanwhile, an updating algorithm of the file catalog of the digital file bag is designed, and on-demand updating and sorting of the sub-file catalog are achieved.

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 invention discloses a multi-port collaborative smart campus management system and a use method thereof, and the system comprises a background management terminal which distributes student information to each management terminal, provides a two-dimensional code for each dormitory, and supports message pushing. The school German and education department end sets reward and punishment standards, pushes and queries messages, and asks for asking for leave for students. The teacher end adds student information, examines and approves asking for leave of students and binding applications of parents, and supports message pushing, registration and inquiry of reward and punishment information. And the dormitory management end receives the ask-for-leave information of the students, staying scores of the students and reporting rewards and punishment and abnormal conditions. And the parent terminal binds the student, queries historical performance data of the student and asks for leave for the student. The display platform is used for school image display and user service request and interaction. And the data server integrates and stores various data in the school management system. According to the scheme of the invention, the problems of serious information islands, insufficient data security and low intelligence level of current smart schools are solved.

The invention discloses a vibroflotation pore-forming intelligent positioning navigation method and application, and belongs to the field of navigation, and the vibroflotation pore-forming intelligent positioning navigation method comprises the following steps: S1, calibrating N target pore-forming points and determining coordinate information of the N pore-forming points, and receiving and storing the coordinate information of the N target pore-forming points by a server; s2, determining one target pore-forming point as a current target pore-forming point C, and receiving coordinate information of an initial point A1 of a navigation positioning point of the mobile terminal; s3, generating coordinate information of an end point A2 of the navigation positioning point; s4, generating a navigation coordinate graph; s5, executing the navigation coordinate graph by the mobile terminal; s6, receiving real-time coordinate information of the check point B, and calculating stability; s7, judging whether the current target pore-forming point C, the current target pore-forming point Bw and the navigation positioning point real-time point A are on the same straight line or not; and S8, after receiving the unlocking instruction, the mobile terminal starts an automatic pore-forming program, and after receiving the alarm instruction, the mobile terminal locks the automatic pore-forming program. The problem of pore-forming deviation is solved.

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.

The present invention discloses a system automatic audit method based on knowledge graph, which defines and automatically constructs the system knowledge graph, builds a suspected clue acquisition model based on the system knowledge graph, and establishes a system automatic audit module for receiving the audit instructions input by the user; the system automatic audit module obtains the audit results according to the audit instructions input by the user, and feeds back the design results to the user to complete the automatic audit work. The present invention designs and constructs the system knowledge graph from two dimensions: organizational hierarchy and label theme, quickly finds audit clues through the system knowledge graph, and improves audit efficiency.