14162 results about "Support system" patented technology

The invention discloses a tunnel multi-source fusion dynamic twin surrounding rock intelligent prediction and control method and system, and the method comprises the steps: collecting multi-source heterogeneous data in real time through intelligent drilling equipment, a distributed optical fiber sensing network and a mobile scanning device which are disposed on a tunnel construction surface; inputting the multi-source heterogeneous data into a space-time diagram convolutional network, constructing a space-time correlation model of geological features and construction disturbance parameters, and outputting a coupling feature matrix; based on the coupling characteristic matrix, simulating the dynamic response of the surrounding rock-support system through a streaming voxelization engine and a multi-physics coupling engine, and generating a risk evolution three-dimensional thermodynamic diagram; and inputting the risk evolution three-dimensional thermodynamic diagram into the deep reinforcement learning model, and dynamically optimizing to generate a construction parameter regulation and control instruction meeting a safety constraint condition. According to the technology, a full-link channel of'data perception-mechanical analysis-decision execution 'is opened in a closed-loop mode, and therefore the double risks of'data distortion misjudgment' and'response lag out-of-control 'of a traditional method are avoided.

The invention discloses a smart road driving time prediction method based on multi-source data fusion and deep learning, and the method comprises the steps: constructing a multi-source data collection and fusion platform, developing a spatial-temporal feature deep learning model, deploying a real-time data processing and anomaly detection system, building a self-adaptive prediction optimization mechanism, and constructing a smart traffic application service platform. Comprehensive acquisition, deep analysis, real-time processing, accurate prediction and intelligent service of traffic data are realized. The method specifically comprises the following steps: deploying an Internet of Things sensor network to collect multi-source data, and designing an adaptive weighted fusion algorithm to construct a multi-dimensional dynamic traffic database; constructing an LSTM-GNN hybrid neural network architecture to extract spatio-temporal features; real-time data processing and anomaly detection are carried out by adopting a streaming computing framework and various technologies; designing a multi-objective optimization algorithm and a reinforcement learning model to realize adaptive prediction optimization; and developing a visual decision support system and a personalized navigation service. The system effectively improves the traffic management efficiency and the public travel experience.

The invention discloses an optimal design method and system for foundation pit supporting, and aims to improve the design efficiency and safety of a supporting structure, collect on-site landform and soil physical and mechanical parameters, evaluate the influence of foundation pit excavation on the surrounding environment, analyze geological disaster risks, formulate preventive measures and select a proper supporting structure type. Finite element analysis software is used for simulating the performance of different supporting schemes, monitoring equipment is installed to monitor the state of a foundation pit in real time, a machine learning algorithm is used for establishing a prediction model, a design scheme is adjusted according to monitoring data, the final performance of a supporting system is evaluated, abnormal conditions are recorded, and the design process and the construction method are continuously improved according to project feedback. According to the method, a data acquisition and processing module, a design decision support module, a numerical simulation and optimization module, a monitoring and feedback control module, a construction management module and a later evaluation and feedback module are integrated, a closed-loop optimization design system is formed, key problems in support design are solved, and engineering efficiency and safety are remarkably improved.

The present disclosure relates to a method for detecting a state of wear of a cardiac support system. The method comprises a read-in step and a determination step. During the read-in step, a sensor signal representing an operating state of the cardiac support system is read in. During the determination step, a wear signal is determined using the sensor signal and a comparison rule. The wear signal represents the wear condition.

A system for the hypothermic transport of biological samples, such as tissues, organs, or body fluids. The system includes support systems to permit arrangement of cooling media around a biological sample without potentially damaging direct contact between the cooling media and the biological sample. Systems and methods disclosed herein also include specific configurations, types, and performance characteristics of cooling media such as phase change materials to allow for extended hypothermic storage and transport.

A browsing support system is provided that enables medical-related information to be entered accurately. [Solution] The information processing terminal 10 included in the browsing support system 1 has an input unit 12 that creates questions for contents to be registered in the electronic medical record displayed on the display unit 11. The medical record management system 3 has a medical record management unit 31 that outputs creation information for creating the electronic medical record, which is input by the information processing terminal 10, to a RAG system 4, receives answers from the RAG system 4, and supports the creation of the electronic medical record. The RAG system 4 has a vector DB 52 that stores knowledge that has been vectorized and embedded in a vector space, and a knowledge search unit 44 that searches the vector DB 52 for knowledge based on the vectorized creation information and outputs answers formed from the searched knowledge to the medical record management unit 31.

To provide a search support system that enables efficient human resource searches. [Solution] According to one aspect of the present invention, a search support system is provided. The search support system includes a processor. The processor is configured to execute the following steps: In the receiving step, a search query written in natural language is received. In the search category presenting step, at least one recommended search category for the search query among categories of registered information of the search subject is presented based on category determination reference information. The category determination reference information includes a correlation between the search query and the recommended search categories. In the search step, a search is performed for the search subject based on the relevance between the search query and information included in the search target category of the registered information. The search target category is a recommended search category or a category selected by the user from the categories of the registered information.

To improve efficiency of idea proposal support.SOLUTION: A proposal support system executes: acquiring a specific first word from a co-occurrence network in which each first word of a first word group in a first sentence group including a first field name in at least one information source out of a first information source related to a first field and a second information source related to a second field different from the first field is a node, and a co-occurrence relation between two first words is a link connecting the nodes; extracting company names in the second field relating to the specific first word, from a second sentence group including a second field name and the specific first word from the at least one information source; associating the specific first word, a specific second word, and the company names in the second field, based on appearance information related to the specific second word that co-occurs with the specific first word in a second word group in the second sentence group; and performing output processing of outputting an analysis result in a displayable manner.SELECTED DRAWING: Figure 5

The disclosure relates to a cardiac support system for insertion through a catheter into a blood vessel, including an axial flow pump having a tubular housing, an intake portion disposed in a distal portion of the tubular housing, at least one peripheral outlet opening disposed in a proximal portion of the tubular housing, and a pump rotor disposed within the tubular housing, the pump rotor including a hub and at least one blade element wound at least partially helically around the hub and configured to draw blood into the intake portion toward the proximal portion of the tubular housing, where a portion of the at least one blade element is disposed proximal to a distal edge of the outlet opening, and the at least one blade element transitions from having a convex curvature to having a concave curvature in a region of the outlet opening.

The present invention relates to the technical field of agricultural information, and specifically to a plant factory information automatic acquisition method and system based on unmanned aerial vehicle machine vision. The method comprises the following steps: using a camera mounted on an unmanned aerial vehicle to capture an image, and using a deep learning and image segmentation technology to generate a plant region segmentation image. According to the present invention, the unmanned aerial vehicle is used to carry the camera to capture a plant image, and efficient and accurate plant region segmentation is realized by using the deep learning technology. A plant health assessment report is generated by means of a computer vision technology, and a health problem is early warned. A plant health analysis report comprehensively considering environmental factors is generated on the basis of ground sensor data and time series analysis, and comprehensive and accurate health assessment is provided. A multi-dimensional plant health monitoring model provides support for all-round health monitoring. A plant disease nutrition analysis report is generated on the basis of a machine learning classification algorithm, a problem is accurately recognized, and a fertilization and pesticide-spraying strategy is formulated on the basis of a decision support system, thereby optimizing resource utilization, and improving the yield and quality.

The invention discloses a reservoir scheduling decision support system for multi-objective optimization, and relates to the technical field of hydraulic engineering scheduling. According to the system, comprehensive optimization of flood control, power generation and ecological targets is realized through cooperative work of the multi-source dynamic constraint analysis module, the collaborative optimization module, the scheduling module and the correction module. A dynamic constraint boundary table is generated by collecting meteorological, hydrological and ecological data in real time. And matching a multi-target coordination rule through a physical constraint double-depth network algorithm, generating a Pareto feasible solution set, and mapping the Pareto feasible solution set into a coordination strategy of flood discharge flow and power generation output. In combination with a hydraulic model, flood control and power generation weights are adjusted, an executable dispatching instruction is generated, it is ensured that the ecological flow reaches the standard, and the influence of a downstream submerged area is optimized. And correcting the dynamic constraint boundary table according to actual monitoring data, and continuously optimizing a scheduling decision. Accurate management and multi-objective optimization of reservoir dispatching are realized, and the utilization efficiency of water resources is improved.

A method, system, and apparatus for a head guide support system for use in measuring a transcranial magnetic stimulation (TMS) treatment coil on a patient's head are described herein. The coil positioning apparatus, also called a coil positioning device or a coil angle guide, may include a support structure supported by the patient's head; a first instrument configured to indicate a position angle for placement of the TMS coil; a second instrument configured to indicate a distance from the support structure for placement of the TMS coil; and / or a third instrument configured to indicate an orientation angle for rotation of the TMS coil.

The invention relates to a line device (105) for conducting a blood flow for a heart support system. The heart support system has a head unit and an outlet unit. The line device (105) has a main part (205). The main part (205) has, at a first end, a first attachment section (210) for attaching the line device (105) to the head unit and, at a second end, a second attachment section (215) for attaching the line device (105) to the outlet unit. Furthermore, the main part (205) has a mesh section (220) between the attachment sections (210, 215), wherein the mesh section (220) has a mesh structure (230) formed from at least one mesh wire (225). In addition, the main part (205) has an inlet section (235), arranged in the first attachment section (210), for introducing the blood flow into the main part (205).

The invention discloses a rock tunnel intelligent supporting system and method adaptive to geological conditions, and relates to the technical field of tunnel construction automation and intellectualization. The system comprises an intelligent advanced geological forecast module, an intelligent surrounding rock quality evaluation system, a self-adaptive support design optimization module, an intelligent construction equipment monitoring system, an environment monitoring module, a safety early warning system, a construction data analysis and decision support system, a material supply chain management module, a personnel positioning and management system and an integrated control system. Through real-time monitoring and analysis of the intelligent advanced geological forecast module and the safety early warning system, potential geological risks and safety threats in the tunnel construction process can be found in time. And through an adaptive support design optimization algorithm, support parameters and a construction scheme can be dynamically adjusted according to real-time geological data and a surrounding rock quality evaluation result. The integrated control system serves as the core of the whole intelligent supporting system, and unified management and coordination of all the sub-modules are achieved.

A method for determining the speed of sound in a fluid in the region of an implanted, vascular support system includes sending an ultrasonic signal using an ultrasonic sensor, reflecting the ultrasonic signal on at least one sound reflector, receiving the reflected ultrasonic signal, and determining the speed of sound in the fluid using the ultrasonic signal. The at least one sound reflector may be visible in the field of vision of the ultrasonic sensor and arranged at a defined distance at least to the ultrasonic sensor or to a further sound reflector.

The invention relates to a method for determining a flow rate of a fluid flowing through an implanted vascular assist system (1), said method comprising the following steps: a) carrying out a first pulsed Doppler measurement at a first pulse repetition rate by means of an ultrasonic sensor (2) of the assist system (1); b) carrying out a second pulsed Doppler measurement at a second pulse repetition rate by means of the ultrasonic sensor (2) of the assist system (1), wherein the second pulse repetition rate differs from the first pulse repetition rate; c) determining the flow rate using measurement results of the first pulsed Doppler measurement and the second pulsed Doppler measurement.

The invention discloses a cooperative monitoring device and method for a large deep foundation pit complex supporting system, and relates to the technical field of foundation pit supporting. The device comprises a multi-dimensional sensor network module, a BIM-GIS digital twin platform module, an intelligent analysis and early warning module, a construction collaborative decision module, a data backup and recovery module and a remote monitoring and management module. The method comprises the following steps: step 1, carrying out multi-source data space-time registration; step 2, dynamically constructing a digital twinborn model; step 3, coupling risk assessment; step 4, construction collaborative optimization; according to the technical scheme, the method comprises the following steps of data processing, data quality control and system performance evaluation, through three innovations of deep coupling of multi-source data, dynamic model correction and intelligent collaborative decision making, a'monitoring-analysis-decision-execution 'full closed loop is constructed, technical breakthroughs are achieved in complex working condition adaptability, early warning real-time performance and construction safety, and the method has remarkable engineering application value.

Embodiments support systems and methods for large language model (LLM)-assisted research tools that support retrieval-augmented content generation. In an aspect, the disclosed systems and methods may provide functionality for receiving, by one or more processors, a set of search criteria via a graphical user interface. The systems and methods may also include functionality for providing, by the one or more processors, the set of search criteria or information derived from the set of search criteria as one or more prompts to one or more LLMs, and for generating, by the one or more LLMs, textual content based on the one or more prompts. The textual content may include information associated with one or more legal issues associated with the set of search criteria.

Systems and methods for onboard auto-inspection of vehicles using reflective surfaces. The system comprises at least one imaging device mounted on the vehicle, capturing reflections of the vehicle's exterior from strategically positioned reflective surfaces. The captured imaging data is processed by one or more processing circuitries to detect and analyse defects or anomalies on the vehicle's exterior surface. The invention also describes a support system consisting of a scaffold with mounted reflective surfaces, easily integrable into existing infrastructure. The system employs advanced image analysis techniques to accurately detect and localize defects, generating a detailed defect map. The invention further encompasses a complete kit, including the onboard auto-inspection system and the support system, providing a comprehensive solution for vehicle inspection and maintenance. By enabling efficient, accurate, and frequent inspections, the present invention promotes safer, better-maintained vehicles and advances the field of automotive inspection technology.

The invention provides a building construction site safety monitoring and early warning method and system based on the Internet of Things, and relates to the technical field of data processing.The method comprises the steps that a three-base-point dynamic topological structure is established in a target monitoring domain, a first datum point is arranged at the extension end of the axis vertical line of a slewing bearing of a tower crane, and a second datum point is arranged at the extension end of the axis vertical line of the slewing bearing of the tower crane; the second datum point is embedded in the radial section of a force bearing flange plate of the hydraulic jacking module, the third datum point is fixedly connected to the intersection joint of a deep foundation pit top beam and a supporting system, and a non-collinear vector set is constructed through three-point coordinate offset; and based on the non-collinear vector group, deformation compensation correction is performed on the dynamic calibration parameter set through a vector space topological transformation algorithm, a topological reconstruction data stream containing a displacement gradient tensor and strain energy density is generated, and a risk situation feature space is constructed based on the topological reconstruction data stream. According to the invention, the intelligent construction safety management is realized.

The invention relates to a method for determining at least a flow velocity or a fluid volume flow (5) of a fluid flowing through an implanted vascular support system (1), comprising the following steps: a) carrying out a pulsed Doppler measurement by means of an ultrasonic sensor (2) of the support system (1), b) evaluating a measurement result from step a), which has a possible ambiguity, c) providing at least one operating parameter of a flow machine (3) of the support system (1), d) determining at least the flow velocity or the fluid volume flow (5) using the measurement result evaluated in step b), wherein the possible ambiguity of the measurement result is corrected using the operating parameter.

The invention relates to a method for determining a total fluid volume flow (1) in the region of an implanted vascular support system (2), comprising the following steps: a) determining a reference temperature (3) of the fluid, b) determining a motor temperature (4) of an electric motor (5) of the support system (2), c) determining the thermal dissipation loss (6) of the electric motor (5), d) ascertaining the total fluid volume flow (1) using the reference temperature (3), the motor temperature (4), and the thermal dissipation loss (6) of the electric motor (5).

To provide a legal affairs consultation support system for promoting the efficiency of legal affairs consultation cases including examination work on a contract and legal affairs consultation work.SOLUTION: A legal affairs consultation support system which has a database for storing consultation information acquired from a client and reply information on replies to the consultation information from a person responsible for legal affairs includes steps of: respectively summarizing the consultation information and the reply information by using generative AI so as to generate summarized consultation information and summarized reply information; and associating the summarized consultation information with the summarized reply information so as to store them.SELECTED DRAWING: Figure 2

A surgical support system including: an eye behaviour monitoring apparatus that monitors eye behaviour of a surgeon performing a surgical procedure to obtain eye behaviour data of the surgeon; a surgical data generating apparatus that generates surgical data associated with the surgical procedure being performed by the surgeon; a surgical intervention apparatus that performs an intervention procedure for intervening in the surgeon's performance of the surgical procedure; and a data processing apparatus that: determines a value of an intervention parameter associated with the surgical procedure using the obtained eye behaviour data; determines an acceptable range of the value of the intervention parameter using the generated surgical data, and if the determined value of the intervention parameter is outside the determined acceptable range of the value of the intervention parameter, controls the surgical intervention apparatus to perform the intervention procedure for intervening in the surgeon's performance of the surgical procedure.

The invention provides a patient information collection and medical record construction system and method based on multiple rounds of dialogues, and the system comprises an intelligent guide interaction module which receives the natural language input of a patient; the context-aware question and answer engine adopts a dialogue state representation method based on a graph structure to construct entities, relationships and attributes of each round of dialogue into knowledge sub-graphs; the medical record information dynamic builder monitors an updating event of the dialogue state diagram in real time; the abnormal information detection module adopts a mixed conflict detection method combining rules and learning; and the medical knowledge graph support system maps the oral expression of the patient to a standard medical term system in real time through a multi-level semantic matching strategy. According to the invention, the doctor does not need to distract the record in the inquiry process, and can pay more attention to patient observation and clinical thinking. The quality of the medical record first draft automatically generated by the system is high, a doctor only needs to perform a small amount of auditing and supplementing, and the medical record writing time is greatly shortened.

The invention relates to a line device (105) for conducting a blood flow for a heart support system. The heart support system has a head unit and an outlet unit. The line device (105) has a main part (205). The main part (205) has, at a first end, a first attachment section (210) for attaching the line device (105) to the head unit and, at a second end, a second attachment section (215) for attaching the line device (105) to the outlet unit. Furthermore, the main part (205) has a mesh section (220) between the attachment sections (210, 215), wherein the mesh section (220) has a mesh structure (230) formed from at least one mesh wire (225). In addition, the main part (205) has an inlet section (235), arranged in the first attachment section (210), for introducing the blood flow into the main part (205).

A collaborative cloud-based digital music composition, performance and production studio system network employing machine-intelligent digital audio workstation (DAW) systems that are supported by cloud-based automated music composition, performance, production and publishing services. Such services enable improved workflows and enhanced productivity, while ensuring that the music IP rights of all parties involved in the AI-assisted music creation process are respected and responsibly managed in the best economic interests of individual artists, performers, producers, publishers and consumers alike. The digital music studio system network can be realized in various ways supporting the DAW systems in ways suited to different user preferences and application environments.

The invention discloses a high and large formwork engineering supporting system construction method, and belongs to the technical field of building engineering. Comprising the following steps: step 1, arranging intelligent nodes in a high and large template support system to realize information sharing and group cooperative regulation and control among the nodes; step 2, dividing the support system into a plurality of mutually associated load control areas, and setting differentiated load control parameters; step 3, automatically optimizing a pouring path; 4, when the concrete strength reaches a preset threshold value, the supporting rigidity or the reserved deformation amount is automatically adjusted according to a preset program, and the concrete structure bears the dead weight step by step; 5, the temporary load is automatically compensated, when the load exceeds a safety threshold value, a load redistribution mechanism and a reinforcing device are triggered, meanwhile, an alarm is started, and abnormal data are pushed; and step 6, continuously optimizing control parameters, accumulating construction data, constructing a digital construction record and a knowledge base, and realizing intelligent iterative upgrading of the construction method.

The invention relates to a bearing device (100) for a cardiac support system. The bearing device (100) comprises a stand unit (105) and an impeller (110). The stand unit (105) is designed to support the impeller (110) such that it can rotate. The impeller (110) is designed to rotate during an operation of the cardiac support system in order to convey a pump fluid flow (115). The impeller (110) is designed to enclose at least one subsection (120) of the stand unit (105) in the assembled state of the bearing device (100), wherein an intermediate space (125) for guiding a flushing fluid flow (130) is provided between the subsection (120) and the impeller (110). At least one flushing outlet (135) is formed in the impeller (110). The flushing outlet (135) is designed to discharge the flushing fluid flow (130) from the intermediate space (125) by means of centrifugal force when the cardiac support system is in operation.

The invention discloses a deep water-rich weak-impact coal seam surrounding rock control method based on rapid tunneling, and relates to the technical field of surrounding rock control. The method comprises the steps that S1, a high-risk area is identified through address detection, a waterproof curtain is constructed, and the tunneling disturbance risk is reduced; s2, rapid tunneling and instant supporting are conducted, the surrounding rock exposure time is shortened, tunneling and supporting are completed synchronously, and deformation development is restrained; s3, sensing a surrounding rock-support response in real time, optimizing parameters and early warning risks, and realizing dynamic monitoring and feedback regulation and control; s4, later-stage continuous reinforcement maintenance is conducted, so that the roadway adapts to the rheological characteristics of deep surrounding rock, and the service cycle of the roadway is prolonged; according to the method, a high-risk area is identified through various detection technologies, and instant supporting is achieved through cutting process optimization and digging and supporting collaborative operation; real-time monitoring and dynamic feedback are achieved, and automatic optimization of supporting parameters is achieved; and later reinforcement and periodic maintenance are adopted to ensure that the surrounding rock supporting system can adapt to the rheological characteristics of deep surrounding rock for a long time.