100 results about "Status assessment" patented technology

Methods and systems provide an approach to therapy control based on assessment of a patient's cardiopulmonary status. Conditions sensed via sensors of an external respiratory therapy device are used to assess a patient's cardiopulmonary status. The respiratory therapy device sensors may be utilized alone or in combination with other sensors to determine cardiopulmonary status of a patient. Therapy delivered to the patient is controlled based on the cardiopulmonary status assessment. For example, therapy delivered to the patient may be initiated, terminated, and/or modified based on the assessed cardiopulmonary status of the patient. Cardiopulmonary status assessment, therapy control, or both, are performed by an implantable device.

Methods and systems for prognostic condition assessment decision aid of a fleet of vehicles are disclosed. In one embodiment, a method includes providing a schedule of missions and maintenance of a fleet of vehicles, comprising receiving data from the fleet of vehicles for missions and maintenance activity, determining mission and maintenance requirements, processing the received data and requirements to provide an operational allocation the fleet of vehicles, determining an alternative allocation of the operational allocation the fleet of vehicles, the alternative allocation satisfying at least one operational objective for the fleet of vehicles, and generating a schedule for the alternative allocation of the fleet of vehicles.

The invention discloses a health assessment and fault diagnosis method for rotating machinery based on fisher discriminant analysis and a mahalanobis distance, which belongs to the technical field of condition-based maintenance of the rotating machinery. The method comprises the steps of extracting an energy eigenvector based on wavelet packet decomposition, constructing a discriminant analysis function, conducting health status assessment, conducting fault detection on the rotating machinery, and finally conducting fault diagnosis on the rotating machinery. The method constructs a comprehensive frame integrating the status assessment, the fault detection and the fault diagnosis, solves the hotspot problem in comprehensive health management of the rotating machinery at present, achieves intelligent maintenance of the rotating machinery, can establish an assessment and diagnosis model without full life status monitoring data of the rotating machinery, reduces the dependence on historical data, and is very high in engineering applicability.

In one embodiment, user data is analyzed to determine whether a user may be in an impaired condition or demonstrating impairment related activity. The user data may reflect the location of the user or the behavior of the user. In response to the impairment related activity, a contact database is accessed for one or more other users. A communication session is initiated with the one or more other users. A poll of the one or more uses results in a sobriety assessment or a driving condition assessment of the potentially impaired user.

The invention discloses an acousto-optic combined detection method and system for partial discharging of a high-voltage cable. On the basis of fusion of ultrasonic and ultraviolet sensing type non-electrical detection technologies, a partial discharge detection mode of non-fixed high-voltage cable inspection in a complex and strong electromagnetic interference environment is performed by using low-cost portable ultrasonic and ultraviolet sensors to realize synchronous and efficient collection of ultraviolet light and ultrasonic signals of partial discharge of the high-voltage cable; and then multi-analytical-domain partial-distribution information mining and fusion processing of ultrasonic and ultraviolet light pulses is performed, so that the partial discharge detection information is enriched substantially. Partial discharge information that can not be provided by the single technology is provided; the accurate identification and determination of the partial discharge type, cable fault diagnosis, and health status assessment are performed; and real-time storage and analysis of two paths of partial discharge information as well as display and alarm interaction and the like on the main control module are realized.

Systems and methods provide for sensing, during an event of tachycardia, hemodynamic signals concurrently from at least two spatially separated locations within a patient, and quantifying a spatial relationship between the hemodynamic signals. Hemodynamic stability or state of the patient during the tachycardia event is determine based at least in part on the quantified spatial relationship. One or more anti-tachycardia therapies to treat the tachycardia may be selected based at least in part on the determined stability or state of patient hemodynamics, and the selected one or more anti-tachycardia therapies may be delivered to treat the tachycardia. The hemodynamic signals may comprise at least two, or a mixed combination, of cardiac impedance signals, cardiac chamber pressure signals, arterial pressure signals, heart sounds; and acceleration signals.

An embodiment of the invention provides a credit status assessment method and device. The method comprises the following steps: all news data associated with a target body in a first preset time period are crawled in real time; each crawled news datum is subjected to word segmentation processing; a preset good news and bad news classification model is used for classifying the news data after word segmentation processing, obtained good news statuses or bad news statuses corresponding to each news datum are calculated, and a good news or bad news index of news associated with the target body is obtained; a plurality of current fixed income factors associated with the target body are acquired; the credit status of the target body is assessed with a preset credit assessment model according to the good news or bad news index of the news and the plurality of current fixed income factors.

The invention discloses a large semi-direct drive unit health status assessment method. The insufficiency of the prior art and the passive operation and maintenance are remedied. The method comprisesthe following steps: selecting related variables influencing the status operations of the complete fan and various key parts; establishing a fan operation health status assessment model by using a variable weight theory and the fuzzy comprehensive evaluation algorithm, and performing real-time assessment on the operation statuses of the whole fan and various key parts. On a bit data platform, thedata transmitted in real time is operated through the health status assessment model, the output statuses of the whole fan and various key parts comprise five different levels: good, qualified, attention, serious, and halt; the real-time monitoring and assessment on the operation statuses of the whole fan and various key pars are realized. The field staff of the wind power plant adopts the corresponding operation and maintenance measures through the judgement on the result analysis of the health status assessment model, thereby realizing preventive maintenance.

A system and method for providing remote encounter and status assessment, such as a health care encounter for remote patients is provided. The system includes a patient's mobile device and a health care provider's mobile device, both coupled to a network for providing voice and data transfer therebetween. A body parameter measuring device is coupleable to the patient's mobile device and capable of generating data in response to measuring one or more body parameters. The method includes coupling the body parameter measuring device to the patient's mobile device and establishing a voice communication path with the health care provider's mobile device. Concurrently therewith, the patient's mobile device establishes a data communication path with the health care provider's mobile device to provide the data from the body parameter measuring device to the health care provider's mobile device.

The invention belongs to the field of on-line monitoring and fault diagnosis of gas insulation combined electrical appliances, and specifically relates to a method for identifying insulation fault of a gas insulation combined electrical appliance based on photoacoustic spectral information. The method includes the steps of constructing an original set of fault features based on the photoacoustic spectrum detection component information, optimizing fault features based on the maximum correlation and minimum redundancy criterion, and identifying the type of insulation fault based on a support vector machine. The method improves the fault diagnosis theory for SF6 gas insulation electrical equipment based on the photoacoustic spectrum information, and lays foundation for promotion and application of photoacoustic spectrum technology in the field of gas insulation fault diagnosis and status assessment.

The invention discloses a plant growth monitoring system based on AR virtual reality technology. The system comprises an information acquiring unit arranged in the growth environment of the plant to acquire the growth status information of the plant in real time; a data analysis unit for receiving data information transmitted by the information acquiring unit, performing data analysis on the received data information, performing data comparison and growth status assessment according to the internally-stored standard growing analysis information of the plant under different temperatures, different illuminations and different soil environments so as to predict the growing condition of the plant at the next time period; and an AR virtual reality observation unit for displaying the growth condition through a video. The system disclosed by the invention analyzes whether the plant grows in normal by acquiring the daily growth status information of the plant, and performs data analysis so as to present the virtual growing condition of the plant through the AR virtual reality observation unit, a vivid and fast growing video image is presented so as to facilitate a user to well master the growing of the plant.

The invention discloses a plant growth observing system based on an AR virtual reality technology and a video image processing technology. The system comprises an information collection unit which is arranged in a growth environment of plant and is used for collecting growth condition information of the plant in real time; a data analysis unit which is sued for receiving data information transmitted by the information collection unit, carrying out data analysis on the received data information, and carrying out data comparison and growth condition evaluation according to standard growth vigor analysis information of the plant under different temperature, illumination and soil environments, thereby predicting the growth vigor condition of the plant in a next time period; and an AR virtual reality observing unit which is used for display a video, wherein the standard growth vigor analysis information of the plant is stored in the data analysis unit. According to the system, the daily growth condition information of the plant is collected, analysis and data analysis are carried out on whether the plant grows normally or not is analyzed, the virtual growth vigor condition of the plant is displayed through the AR virtual reality observing unit, and vivid and rapid growth vigor video images are displayed, so a user can grasp the growth vigor of the plant well.

A macro network safety state grade method based on abnormal measurement comprises: defining modeling parameter and grade standard, collecting sample data, extracting index variable for describing network safety state; extracting regularity factor capable of reflecting network operation state, filtering contingency factor, establishing network normal operation state model according to index variable extracted from sample data; collecting data to be detected, computing intensity of abnormality of detecting data and normal model; computing the normalized grade of the index according to intensity of abnormality of every index variable , giving the normalize grade of network integral state according to significance of the index variable. The invention can regulate modeling parameter and grading standard of every index variable, describe present state of important index variable of present network and integral state of network according to different involvement of every index variable in different network environment; the invention has merits of real time, accuracy, quantification and configurability.

A method for achieving dynamic allocation of resources of an asynchronism optical packet switching network is characterized by comprising the following methods that A, a network node transmits local status information to a management plane; B, the management plane conducts whole network status assessment according to the local status information of the network node; C, the management plane redetermines resource allocation strategies according to an assessment result; D, corresponding resource allocation information is obtained according to the resource allocation strategies; E, the resource allocation information is allocated into frames and sent to the network node; F, the network node conducts local resource allocation according to the resource allocation information frames, and then feeds improved status information back to the management plane again, and closed-loop control is achieved. The method for achieving dynamic allocation of the resources of the asynchronism optical packet switching network enhances the ability of the network to solve various resource allocation problems; after the node is improved through resource allocation information, the node feeds the improved status information back to the management plane again, and closed-loop control is achieved.

The invention relates to an evidence fusion and set pair analysis method for transformer health condition assessment, comprising the following steps: S1, constructing a transformer characteristic class data set; S2, constructing a transformer t class data set; S3, constructing a correlation function between a transformer test class and a feature class data set; S4: constructing a mass function; S5, constructing a BPA output function; S6: assessing the health status of the transformer. The invention performs set processing on transformer state characteristic data and experimental data with random uncertainty, the correlation function and BPA output function with the same spatial structure can be constructed to evaluate the health status of distribution transformers and reflect the uncertainty of the eigenvalues of the health status of transformers, which provides theoretical guidance for the health status assessment of distribution transformers and the necessary technical support for the operation and maintenance of distribution networks.

The present invention discloses a hierarchical analysis-based human body health condition assessment method. The method comprises: firstly, constructing a human body health condition assessment model according to human body physiological parameter information; determining scale information, and generating a determination matrix; performing consistency verification on the determination matrix, and if the determination matrix does not meet the consistency, returning to the last step to re-generate a determination matrix until the determination matrix meets the consistency, and if the determination matrix meets the consistency, entering into the next step; performing hierarchy single ranking and hierarchy general ranking on the determination matrix; and according to importance weight information of the hierarchy general ranking, obtaining a health condition assessment result of an assessed object. According to the technical scheme provided by the present invention, the human body physiological parameter information of heart rate, body temperature, oxygen saturation, blood pressure and blood glucose and the like, which are currently used for assessing the human body health condition, is integrated, the human body health condition assessment model is constructed, and the whole assessment system is presented orderly and hierarchically, so as to help unprofessional personnel to learn about the health condition clearly and definitely.

The invention relates to a health status assessment method for a transport vehicle automatic or semi-automatic access device comprising at least one leaf suitable for being actuated by a kinematic chain including at least one motor supplied with electricity and having an associated angular position and/or rotation speed encoder and at least one switch. Said method includes steps, for at least one actuating cycle of the kinematic chain between a first and a second position among the open and closed positions and a second position, consisting of:

The invention discloses a grid division method of power distribution network gridding planning. The method comprises the following steps of status assessments of gridding power distribution networks;demand forecasting of gridding electric power; planning of technical principles and schemes; planning of sites and channels; investment estimation and planning assessments. The method accurately locates problems existing in the power distribution networks to each grid, each grid can be examined under a magnifying glass to ensure that the existing problems can be solved through investments, and accurate delivery is achieved.