389 results about "Condition evaluation" patented technology

An alarm management system includes an alarm receiver module receiving customized alarms from one or more of sensor devices and surveillance systems. A condition evaluation module performs an evaluation of one or more customized conditions for a customized alarm. An action handling module executes customized actions based on the evaluation.

Nonlinear generalized dynamic regression analysis system and method of the present invention preferably uses all available data at all time points and their measured time relationship to each other to predict responses of a single output variable or multiple output variables simultaneously. The present invention, in one aspect, is a system and method for predicting whether an intervention administered to a patient changes the physiological, pharmacological, pathophysiological, or pathopsychological state of the patient with respect to a specific medical condition. The present invention uses the theory of martingales to derive the probabilistic properties for statistical evaluations. The approach uniquely models information in the following domains: (1) analysis of clinical trials and medical records including efficacy, safety, and diagnostic patterns in humans and animals, (2) analysis and prediction of medical treatment cost-effectiveness, (3) the analysis of financial data, (4) the prediction of protein structure, (5) analysis of time dependent physiological, psychological, and pharmacological data, and any other field where ensembles of sampled stochastic processes or their generalizations are accessible. A quantitative medical condition evaluation or medical score provides a statistical determination of the existence or onset of a medical condition.

A calculation unit (3) determines whether or not an operation which worsens fuel economy has been performed, and if it is determined that an operation which worsens fuel economy has been performed, the calculation unit (3) respectively calculates the actual amount of consumed fuel and an amount of fuel that would have been consumed had the operation that worsens fuel economy not been performed. The calculation unit (3) then calculates an amount of fuel consumed in excess due to the operation which worsens fuel economy by subtracting the amount of fuel that would have been consumed had the operation that worsens fuel economy not been performed from the actual amount of consumed fuel. A display (4) displays the calculated excess fuel consumption amount.

Provided is a stream data processing system and method for avoiding duplication of data process. The system including: an evaluation result storing unit for updating and storing a query condition evaluation result; a window evaluating unit for performing window evaluation; a data separating unit for separating data into new data and duplication input data; a reuse result extracting unit for receiving duplication input data from the data separating unit and extracting a query condition evaluation result; a query condition evaluating unit for receiving new data from the data separating unit, performing query condition evaluation and creating a query condition evaluation result; and a result organizing unit for receiving the query condition evaluation result, merging, outputting and transmitting the query condition evaluation result to the evaluation result storing unit.

In a vehicle speed control system, a preset offset distance is taken as a zero value of an inter-vehicle distance in a brake discriminant. When the current value of a corrected distance condition evaluation index is higher than the brake discriminant, a value on the brake discriminant is set as a target value of the corrected distance condition evaluation index. Deceleration control is started to decelerate the subject vehicle so that the deceleration of the subject vehicle becomes equal to the target deceleration of the subject vehicle computed based on the target relative speed corresponding to the set target value and the actual relative speed.

The invention relates to the technical field of underground road bituminous pavement service performance evaluation. In order to make the evaluation result objective, the effective scientific decision can be provided for the road maintenance and repair department. In order to fulfill the aim, the adopted technical scheme is as follows: the entropy weight-based underground road bituminous pavement service performance evaluation method comprises the following steps of: 1. determining a composite underground road pavement performance integrated evaluation index system, namely 1.1. determining evaluation indexes and evaluation standards, 1.1.1. determining underground road bituminous pavement damage condition evaluation indexes and standards, 1.1.2. determining composite underground road pavement driving quality evaluation indexes and standards, and 1.1.3. determining composite underground road pavement safety performance evaluation index and standards; 1.2, establishing a comprehensive evaluation model; and 2. performing a composite underground road pavement service performance evaluation method. The method is mainly applied to the underground road bituminous pavement service performance evaluation.

The invention relates to a method for predicting the space-time traveling track of a blacklisted vehicle. The method comprises the prediction of the traveling route of the blacklisted vehicle and the prediction of the traveling time of the blacklisted vehicle on the predicted traveling route. The prediction of the traveling route is achieved with a traveling route predicting method based on historical route similarity. The prediction of the traveling time of the blacklisted vehicle on the predicted traveling route is achieved with a traveling time predicting method based on road traffic condition evaluation. The method for predicting the space-time traveling track of the blacklisted vehicle is high in efficiency. According to the method for predicting the space-time traveling track of a blacklisted vehicle, the traveling route of the blacklisted vehicle can be predicted in real time after the blacklisted vehicle appears, the next position where the blacklisted vehicle might appear and the time when the blacklisted vehicle appears at the position can be determined, video surveillance and control can be conducted on the corresponding position in advance according to the predicted traveling route and the predicted traveling time of the blacklisted vehicle, and decision aids are provided for the arrest of the blacklisted vehicle.

The invention discloses a condition evaluation method of a distribution network transformer based on a fuzzy theory. The method comprises the following steps that a three-level index system of condition evaluation of a distribution transformer is established in accordance with data of daily check, routine tests and diagnostic tests of the distribution network transformer, an evaluation index set and a comment set are determined, wherein the evaluation index set contains all indexes in the three-level index system, and the evaluation set contains four conditions of normality, caution, abnormity and severity; an improved analytic hierarchy process is adopted to determine the weight of each index in the evaluation index set; a relatively deteriorative concept is adopted to determine an evaluation matrix of the distribution network transformer; and a grey relation theory is adopted to determine the condition level of the transformer. The condition evaluation method has the following beneficial effects that the condition of the distribution network transformer can be evaluated in batches, losses of manpower and material resources are reduced, the working efficiency and the condition evaluation accuracy are greatly increased, and the condition evaluation method has the advantage of strong practicability.

The invention provides an agricultural drought warning and forecasting monitoring device. The device comprises a real-time soil moisture status data acquisition module, a drought condition evaluation module, an information releasing module, a database and a medium-long term weather forecast interface. The invention further provides an agricultural drought warning and monitoring method based on the device. Water surplus and deficit conditions of crops in different regions within next preset time are forecasted according to soil moisture status information acquired in real time in different regions and by combining precipitation and temperature information, within the next preset time, provided by a third party, and drought region division is performed based on the water surplus and deficit conditions of the crops. Thus, droughts can be discovered timely beneficially for the convenience of reasonably allocating water resources so as to cope with disasters. Comprehensive monitoring, scientific evaluation and warning of the droughts are realized, and the device and the method are of great theoretical and practical significances for solving the problem of loss caused by agricultural droughts or floods.

The invention discloses a BIM-based bridge inspection information management method and system. The system comprises a non-destructive inspection module, a dynamic and static load testing module, a damage information BIM module, a detection vehicle information BIM module, a sensor information BIM module, a model intelligent conversion module, a technical condition evaluation module and a loading capacity state evaluation module. According to the system, the standardized recording and integrated management of various types of inspection information can be realized; the inspection information isconverted into three-dimensional visual information by virtue of a BIM technique, so that the visual expression of the inspection information is realized; and by converting a model, processing actualmeasurement information and calculating a theoretical value, the intelligent evaluation on multiple aspects of the technical condition, the loading capacity and the like of bridges is realized. According to the system, the defects that the information is fragmentized, the recording is nonstandard, the expression is not visual, the evaluation is asynchronous, and the like in traditional bridge inspection information management can be improved, and great convenience is provided for the bridge information management works.

The invention discloses a high-speed railway train automatic driving system based on an artificial intelligence technology. The system is a novel high-speed railway train automatic driving system based on deep reinforcement learning and imitation learning. By constructing comprehensive train operation condition evaluation indexes and supplementing and enhancing acquisition of big data related to train operation, a train control strategy model which is based on deep reinforcement learning and imitation learning and can perform comprehensive perception and make correct and reasonable decisions is trained, and the comprehensive quality of train operation is further improved.

A blood purification apparatus includes a blood circuit, a blood purifying device, a driving device, an air bubble detection device, and a connection condition evaluation device. The blood circuit is provided with arterial and venous blood circuits, to which needles are attached at ends thereof. The blood purifying device is connected between the arterial and venous circuits. In a blood purifying treatment after a priming operation, the driving device drives the blood in the arterial blood circuit in a forward direction, and drives the blood in the venous blood circuit in a reverse direction. The air bubble detection device detects air bubbles in a liquid flowing in the arterial and venous blood circuits. The connection condition evaluation device evaluates connection conditions of the needles to the ends of the arterial and venous blood circuits based on the detection by the air bubble detection device.

The invention discloses a power transformer defect data mining method. The method includes the following steps that: defect attribute screening is performed on the historical defect data set D0 of a power transformer, so that a defect data set D1 can be formed; filling or deletion is performed on defect attributes in the D1, so that noise data can be decreased; new attributes are constructed based on existing attributes of the D1, discretization is performed on continuously-valued attributes, reasonable stratification is performed on categorical attributes, and therefore, a defect data set D2 can be formed; the correlation between input attributes and target attributes is calculated, uncorrelated attributes are deleted, the remaining attributes form a defect data set D3; the association relationships between the attributes of the defect data set are calculated by using an Apriori algorithm; and effective association rules are extracted, the defect factors of the power transformer are analyzed, an association rule knowledge base can be formed. With the power transformer defect data mining method of the invention adopted, the defects of the power transformer can be mined in a multi-dimensional and multi-level manner, the association relationships between the attributes can be extracted conveniently and fast, a basis can be provided for power transformer condition evaluation, and the accuracy of condition evaluation can be improved.

The invention discloses a method for predicting the concentration of dissolved gas in transformer oil based on PSO-LSTM. The method achieves the effective evaluation of the operation state of a transformer through the accurate prediction of the concentration of the dissolved gas in the transformer oil. The method comprises the steps of firstly, collecting online oil chromatography sample data of atransformer, determining state characteristic parameters of the data, performing normalization processing, and dividing a training set and a test set; secondly, constructing a long-term and short-term memory network prediction model, optimizing the long-term and short-term memory network prediction model through a particle swarm algorithm to obtain two optimal prediction model parameters, and reestablishing a long-term and short-term memory network model according to the obtained optimal prediction model parameters; and finally, by taking the concentrations of seven characteristic gases dissolved in the oil as inputs and taking the concentration of the gas to be predicted as an output, predicting the concentration of the dissolved gas in the transformer oil. The method provided by the invention can accurately predict the change of the concentration of the dissolved gas in the transformer oil, can provide a certain theoretical basis for fault diagnosis and operation condition evaluation of the transformer, and provides a reference for operation and maintenance personnel to overhaul.

The invention provides a comprehensive evaluating method for manless mining face exploitation geological condition of a thin seam, which belongs to a coal mine geological condition evaluation method. According to manless mining face exploitation characteristic of the thin seam, seven comprehensive evaluation factors of geological structure, coal seam thickness, coal seam stability, coal seam inclination angle, coal seam stiffness, coal seam top/base plate condition and working face lumpiness, which affect manless mining face exploitation of the thin seam. Furthermore 15 base factors are furthermore determined. Furthermore the membership function and weight of each evaluating factor are analyzed. In combination with a fuzzy comprehensive evaluation theory, a comprehensive evaluating model for manless mining face exploitation geological condition of thin seam is constructed; and a comprehensive evaluating result grade and reliability index are determined, thereby realizing comprehensive evaluation for manless mining face exploitation geological condition of the thin seam. The comprehensive evaluating method has important meaning for improving process selection of manless mining face and optimizing parameter, improving coal mining environment and improving safety condition and efficiency of the mining face.

The invention provides a safety monitoring information visualization platform. Primary processing is performed on appearance instrument and interior instrument data monitored in real time and patrol inspection information; a plurality of analysis methods are integrated to perform comprehensive analysis on the monitoring data; digital processing and statistical analysis are performed on the patrol inspection information; according to a monitoring data comprehensive analysis result and a patrol inspection digital statistical result, an operation condition evaluation result of a project is obtained, and is displayed visually; warning is performed for abnormal information, the abnormal information is marked, and warning is performed for an abnormal analysis result and/or an operation condition, so that the health diagnosis of the project can be realized; multi-project safety monitoring work is comprehensively managed at the same time, and risk grading early warning and information pushing are carried out for abnormal measuring points, fault equipment, geological disasters, abnormal analysis and patrol defects in the building operation process. Real-time query of the monitoring information, intelligent inspection and comprehensive analysis and visual display of the monitoring data are realized, and an abnormal result and early warning information are positioned in a corresponding scene for timely response.

The invention provides a trauma emergency pre-hospital treatment networking system and an application method thereof, and particularly relates to the trauma emergency pre-hospital treatment networking system based on internet of things, standard treatment and big-data analysis and the application method thereof. The system comprises a mobile treatment device, an auxiliary device, a center control system, a 4G wireless routing network, a touch terminal, system software and trauma emergency treatment center, the six parts are synergized, trauma field medical record related information is collected, processed and transmitted to a hospital back-end, and traumatic condition evaluation and a decision-making support result are obtained after a back-end system receives and processes data, and finally the intelligent and standard trauma emergency pre-hospital treatment networking system with high performance and scientific analysis under the extremely-high-integrity internet-of-things framework is formed.

A driving condition evaluation device is provided. The device includes a vehicle speed detection portion configured to detect a vehicle speed. A driving force estimation portion is configured to estimate driving force for driving a vehicle generated in accordance with a driving operation performed by a driver. A threshold value setting portion is configured to set a threshold value of the driving force based on the vehicle speed detected by the vehicle speed detection portion. A driving force information informing portion is configured to inform the driver of a relationship between the driving force estimated by the driving force estimation portion and the threshold value set by the threshold value setting portion.

The invention discloses a bridge technical condition evaluation method based on BIM. The method comprises the following steps: creating a bridge BIM model; inputting disease information; classifying and counting components; evaluating the technical status of components; evaluating the technical status of the site; evaluating overall technical status; analyzing the trend of disease development. Themethod of the invention can improve the defects of information fragmentation, non-standard recording, non-visual expression and the like existing in a conventional bridge technical condition assessment method, and has the complete steps from the collection, analysis to application of the bridge disease information. The method can collect all kinds of bridge disease information efficiently and accurately and realize the standardized record of disease information and integrated management. The disease information is transformed into three-dimensional visualization information by BIM technology,and the visual expression is realized. Through the statistical analysis of the disease information, the intelligent evaluation of the technical status of each level of the bridge can be realized. Themethod provides a basis for scientifically and reasonably formulating bridge management and maintenance plan and carrying out bridge management and maintenance work.

The invention discloses a management method and system of obedience to medical advice on chronic diseases and relates to the field of chronic disease management. The method includes the steps that aninformation collecting module collects information and generates a disease type base and medical advice templates; a system diagnosis module conducts classified diagnosis; a medical advice managementmodule flexibly makes medical advice; a medical advice obedience management module evaluates and intervenes the obedience; a disease condition evaluation module periodically conducts comprehensive disease condition evaluation and then makes medical advice again according to the recovery condition, and a remote module conducts remote management outside a hospital, remote cooperative medical therapyand hierarchical diagnosis and treatment. With management of the obedience to the medical advice of patients as the center, a remote video medical technology and a remote mobile medical technology are utilized, continuous management of the obedience to the medical advice from inside to outside of the hospital is achieved through the medical advice obedience management module, the obedience to themedical advice is improved, and the control rate of the chronic diseases is increased.