8038 results about "Support system" patented technology

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.

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.

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 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 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 BIM-based process simulation and consultation service support system and method, and relates to the technical field of three-dimensional modeling and visualization. The system comprises a BIM holographic data acquisition module, a process logic intelligent deconstruction module, a dynamic process simulation engine module, a physical field real-time monitoring module, an expert knowledge decision module and a visual scheme generation module. And multi-dimensional deviation early warning thresholds are set for different construction stages, the accuracy of conflict detection of various processes is ensured, meanwhile, environment illumination parameters collected by a sensor are linked with a BIM rendering engine in real time, the problem of light and shadow distortion in a digital twinning scene can be dynamically corrected, material texture misjudgment caused by illumination color temperature deviation is avoided, and the working efficiency of the digital twinning scene is improved. The accuracy of process conflict early warning is improved, and the construction safety risk and the resource scheduling error are reduced.

A water pollution risk early warning and tracing method based on multi-source data fusion belongs to the technical field of water pollution monitoring and early warning, and comprises the following steps: step 1, constructing a multi-source heterogeneous data acquisition network and realizing real-time data transmission; 2, performing multi-source data fusion and feature enhancement processing based on space-time reference; 3, constructing a water pollution risk dynamic early warning system based on a WOA-LSSVM model; fourthly, reverse positioning of the pollution source is completed on the basis of a CNN-GRU-SE Attention model; and 5, carrying out development and emergency response on a multi-dimensional visual decision support system, and positioning a pollution source. Multi-source information such as water quality sensor data, unmanned aerial vehicle image data and geographic information data is fused, and an intelligent monitoring network is constructed; through multi-source data fusion and an intelligent algorithm, water pollution risk early warning accuracy and traceability efficiency are effectively improved, and the method has the advantages of high response speed, wide monitoring range, accurate positioning and the like, can be widely applied to the fields of urban water supply, drainage basin management and the like, and meets the requirements of water environment safety guarantee.

The invention discloses an employment and entrepreneurship support system based on artificial intelligence, relates to the technical field of occupational planning, and aims to solve the problem that a traditional support mode is insufficient in individuation and accuracy. The system comprises a multi-modal data acquisition module used for acquiring facial expressions, whole body dynamics and voice data of a user in at least 30 minutes of video dialogue in real time; a dialogue text is processed through a large language model based on a Transform architecture, continuous time sequence modeling is carried out on multi-modal dynamic behaviors by applying a liquid time constant network, and deep fusion reasoning is carried out in combination with multiple groups of multi-head Transform attention mechanisms. The core analyzes the real thought, psychological state, behavior pattern and core ability of the user through consistency verification, generates a structured dynamic user insight abstract, and customizes personalized vocational development or entrepreneurship planning according to the structured dynamic user insight abstract. According to the method, the potential of the user can be deeply informed, high-precision personalized planning is provided, the decision-making quality and success rate are improved, and the method has dynamic adaptation and continuous learning capabilities.

The invention relates to a motor housing module (110) for sealing a motor compartment of a motor of a heart support system. The motor housing module (110) has at least one feed-through portion (205), at least one feed-through line (210), and at least one contact pin (215). The feed-through portion (205) is designed to establish an electrical connection between the heart support system and a connection cable in order to externally contact the heart support system. The at least one feed-through line (210) is embedded in the feed-through portion (205) and extends through the feed-through portion (205). The feed-through line (210) can be connected to the motor and to the connection cable. A first end of the at least one contact pin (215) is embedded in the feed-through portion (205) and a second end of the contact pin (215) projects from the feed-through portion (205) on a side facing away from the motor compartment. The second end of the contact pin (215) can be connected to a sensor line to at least one sensor of the heart support system and to the connection cable.

The invention relates to an implantable vascular support system (10), comprising:—a fluid channel (13) passing through the support system (10) and through which fluid can flow; —a first pressure sensor (18a, b) arranged and configured to determine at least a static pressure or a total pressure in the region of the support system (10); —a second pressure sensor (17) arranged and configured to determine at least a static pressure or a total pressure in the region of the fluid channel (13).

The invention relates to a sensor head device for a heart support system, wherein the sensor head device has at least one sensor carrying element, wherein the sensor carrying element has at least one sensor cavity for accommodating at least one sensor and / or at least one signal transmitter cavity for accommodating at least one signal transmitter.

The invention discloses a cavity type mixed tower fan foundation formwork construction method. Comprising the steps of cushion layer pouring, pay-off, cavity foundation slab steel bar binding, annular support system erecting, foundation lower inner formwork supporting and inner support frame body arranging, cantilever anchoring end bottom formwork frame body supporting, cantilever anchoring end bottom formwork installing, foundation upper inner formwork supporting and inner support arranging, anchor backing plate and prestressed pipe installing, steel bar binding and annular support system erecting. And a foundation outer formwork is installed. Compared with the prior art, formwork erecting is formed at a time, a foundation is integrally poured, and the overall construction quality is guaranteed; the problem of leakage caused by two-time pouring of a construction joint part is avoided, water stop steel plates are reduced, and materials are saved; the inner supporting frame bodies are radially arranged with the center of the circle and the center of the stand column as a supporting point, and structural stress is reasonable. The supporting frame body is simple in structure, neat, attractive, reasonable in stress and easy to operate, the center stand column is recycled, and construction is efficient.

The invention discloses a safety monitoring system of a high transverse support system for cable-stayed bridge man-shaped tower column construction, and relates to the technical field of bridge construction monitoring, the system comprises a creeping formwork integrated sensing module used for generating a point cloud model by using a mechanical arm integrated on a hydraulic creeping formwork platform and a laser radar scanning tower column curved surface, combining with a preset building information model coordinate, adaptively adjusting the mounting posture of the sensor, and outputting the mounting coordinate position of the sensor; the optical fiber sensing network module is used for collecting original strain and temperature data by using a distributed optical fiber sensor deployed along a main stress path of the support truss; an inertial navigation fusion positioning module; a digital twinning early warning module; and an edge calculation relay module. According to the invention, a full-process monitoring chain from data acquisition to risk early warning is constructed through cooperation of multiple modules, full-period and multi-dimensional dynamic control of construction of the human-shaped tower column high transverse support system is realized, and timely perception and overall control of potential risks are ensured.

According to the bearing rigidity optimization and vibration reduction design method for the rotor and the bearing system, under the condition that the structural form of the rotor and the bearing system is not subversively adjusted, the elastic bearing and the extrusion oil film damper are arranged and designed, and the bearing rigidity of the rotor and the bearing system is optimized. The fulcrum rigidity is reduced to change the strain energy distribution of the rotor and adjust the critical rotating speed, and the vibration level of the rotor, especially vibration caused by sudden unbalance and transcritical of the multi-fulcrum rotor, is suppressed.

The invention discloses an error diagnosis classification and intelligent review planning method based on multi-dimensional analysis, which is suitable for a personalized learning support system. The method comprises six steps of error collection, automatic labeling, error attribution, capability evaluation, knowledge point correlation analysis and dynamic review planning, and integrates OCR recognition, TF-IDF feature extraction, convolutional neural network classification, knowledge graph modeling and Q-learning intelligent strategies. The system can realize accurate classification and reason diagnosis of wrong questions based on answering behaviors and cognitive features of students, optimizes a review plan in combination with a forgetting curve and habit error, supports an online and offline mixed review mode, and significantly improves learning efficiency and personalized adaptation ability.

The invention relates to the technical field of energy monitoring, in particular to an on-line energy monitoring system and method, a multi-source data acquisition module realizes omnibearing and multi-level energy network monitoring by integrating various sensors, and the comprehensiveness and accuracy of data are ensured; the adaptive acquisition control module establishes a risk assessment model by using historical data, dynamically adjusts the acquisition frequency and parameter range of the sensor, and optimizes the data acquisition efficiency. The data preprocessing module improves the data quality through filtering, denoising, alignment and standardization processing, and provides a reliable basis for subsequent analysis; the energy analysis module supports system optimization scheduling and energy-saving decision, rapidly detects abnormal points, and reduces manual intervention cost. And the intelligent response module formulates a response strategy according to an analysis result, so that self-regulation and optimization of the system are realized, and the energy utilization efficiency and the equipment operation reliability are improved.

A computer-based adaptive decision support system for radiotherapy, including: • a patient data acquisition module configured to acquire patient-specific clinical data, including an anatomical image, a physiological signal, and genomic data; • a preprocessing and feature extraction modality compatible with normalizing, preprocessing and extracting statistical features from the acquired data; • a status estimator used to provide a dynamic representation of the patient's treatment evolution status based on radiation, biological, dosimetric characteristics; • customized action rescaler to define a series of clinically meaningful treatment adjustments depending on the patient's current condition; • a reward function engine used to calculate therapeutic outcome scores based on the probability of tumor control, the probability of complications in normal tissue, and other predetermined factors; • a reinforcement learning agent that can learn and update treatment adaptation policies based on deep reinforcement learning techniques; • a clinical decision dashboard that provides recommended treatment adjustments and personalized interaction with the physician; and • a clinical integration interface adapted for exporting the customized treatment plan to an external treatment planning or delivery system.

To provide a search support system, etc. capable of reducing a cost required for search.SOLUTION: There is provided a search support system. The search support system includes at least one processor. The processor is configured to execute the following steps by reading a program: a receiving step of receiving selection of a candidate job opening by an employer from at least one job opening registered in a job opening database; an acquisition step of acquiring job opening information relating to the candidate job opening out of the job opening database; and a presentation step of presenting recommended conditions for searching for candidates suitable for the candidate job opening from search object persons including personnel belonging to organizations or outside organizations that recruit through candidate job openings, on the basis of the job opening information and reference information, where the reference information includes a correlation between the job opening information and the recommended conditions.SELECTED DRAWING: Figure 1

The invention relates to the technical field of steel structure welding assembly, and discloses a dynamic cooperative control steel structure welding assembly production line and an operation method thereof, which are used for automatic welding and deformation correction of H-shaped steel components. The production line comprises a feeding area, an assembling area, a welding station and a correction detection area. Global cooperative control is achieved through a distributed supporting system, a multi-dimensional sensor monitoring system and a cooperative robot system. The distributed supporting system is composed of dynamic roller bed units, the supporting height is adjusted in real time through a pressure sensor array and a micro hydraulic actuator, and workpiece droop is counteracted. The multi-dimensional sensor monitoring system collects temperature, strain and morphology data in real time; the welding robot and the correction robot synchronously apply electromagnetic stirring to optimize a welding seam during welding, and ultrasonic peening and laser heating are combined to reduce residual stress during correction. The industrial control computer dynamically adjusts welding parameters, supporting force and a correction strategy through sensor data, and high-precision straightness and low-residual-stress control is achieved.

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

A personnel transportation pod for transporting, remote monitoring of, and / or providing medical support to at least one individual, the pod comprising: an airtight structure comprising walls forming an enclosed interior and an exposed exterior, wherein at least one of the walls comprise at least one opening for providing a passage for the individual from the exterior of the pod to the interior and vice versa, wherein the opening is sealable by a hatch; a connection means on the exterior of the pod, wherein the connection means enables the pod to be connected to a vehicle; a remote monitoring system comprising a monitoring means; a medical support system comprising life support equipment and at least one remotely operable robot capable of manipulating equipment and / or each individual; and a communication system, wherein in use, the communication system enables remote monitoring of each individual within the pod and remote utilisation of each robot to treat each individual.

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

The invention relates to the technical field of construction optimization, in particular to a deep underground engineering construction optimization method and system based on an intelligent support system. According to the technical scheme, stress field, seepage field and deformation field data of surrounding rock are collected in real time; constructing a digital twinborn model, and dynamically updating model parameters; adopting a multi-objective genetic algorithm to optimize support parameters; and executing adaptive control. According to the method, the stress field, seepage field and deformation field data of the surrounding rock are collected in real time through the multi-physics field sensing network, the state change of the surrounding rock can be timely and accurately monitored, meanwhile, the model parameters are dynamically updated so that the model can more accurately reflect the actual situation of the surrounding rock, and the real-time performance of the surrounding rock is improved. And through jet control and anchor rod compensation in self-adaptive control, support parameters can be adjusted in real time according to the actual condition of the surrounding rock, the reliability of a support structure is improved, the stability of the surrounding rock is enhanced, and the safety risk in the construction process is reduced, so that the construction safety is improved.

The invention belongs to the field of soil rock engineering, and provides a three-surface integrated geologic structure modeling method for a deep and large foundation pit in a river-adjacent region, which comprises the following steps: acquiring physical and mechanical parameters and hydrogeological information of the deep and large foundation pit in the river-adjacent region; dividing spatial distribution of different soil layers and rock stratums; describing the influence of water level time variation on the pore water pressure and subsurface erosion of the surrounding rock of the foundation pit through an unstable seepage equation; dividing a finite element or finite difference grid, and applying a dynamic water level and ground load boundary condition; gradually unloading and analyzing the evolution of an underground water flow field and a soil-rock deformation field in each excavation step, and enabling the water surface-ground-soil-rock surface coupling effect to penetrate through the whole excavation process; and numbering the support members, sequentially simulating local failures of the support members, recording the maximum horizontal displacement, the maximum vertical displacement or the change curve of the safety coefficient along with the number of the failure members after each failure of the foundation pit, quantifying the redundancy of the support system, and identifying key members. According to the scheme, the accuracy of the model is improved.

The present invention provides a steel support system for foundation pit support, belonging to the field of foundation pit support, and is used to support the foundation pit in foundation pit engineering. Foundation pit construction is extremely likely to cause damage such as settlement of surrounding buildings and municipal pipelines, so there are very high requirements for construction quality and deformation control. In the prior art, the steel supports that can achieve axial force compensation have problems of high cost and weak structure. This steel support system includes a plurality of steel supports, and both ends of the steel supports are respectively connected to the foundation pit side through quick-installation and quick-disassembly structures. The steel support includes a flexible section and an adjustment section. Two flexible sections are respectively arranged at both ends of the steel support. The flexible section includes a flexible head and a fixed head that are slidably matched, and the adjustment section is arranged inside the steel support. With the cooperation of the sliding function of the flexible section and the telescopic function of the adjustment section, the overall length of the steel support can be adjusted. In the present invention, the entire steel support system only requires a set of servo adjustment mechanisms, having the effects of low cost and high reliability.

A mechanical circulatory support (MCS) system having an axial rotary blood pump with an impeller housing having a cylindrical pocket for receiving a magnet and closed by an end ring, requiring only a single circumferential weld and an axial weld. The impeller includes a shaft and one or more blades extending radially from the shaft. An inner and outer wall extend longitudinally from the shaft defining the pocket therebetween. A magnet array is positioned within the pocket and configured to be magnetically driven by an output shaft of a motor. The end ring is coupled to the end of the pocket opposite the shaft thereby encapsulating the magnet array within the pocket. Alignment holes may be provided within a floor of the pocket for orienting and balancing the impeller.