49 results about "Trend monitoring" patented technology

The present invention provides a system for collecting, anonymizing, and communicating information collected from medical pumps without the need for additional effort by medical care professionals. The pump / multi-pump derived information can be aggregated between hospitals and across healthcare institutions to provide global overviews of pump performance and drug use information. This information can assist with the delivery of healthcare by providing automatic guidance warnings, for example, deviating from established ranges for common delivery rates; trend monitoring to anticipate needs of the health care community based upon global health trends; and allocation of healthcare equipment by monitoring the total operating time and lifecycles of the pumps. Knowledge derived from this pump / multi-pump derived information can be used in an administrative capacity and to develop evolving advisory protocols for users of pumps comparing real-time pump protocols to those appropriate for a given drug.

The disclosed embodiments relate to methods and systems for monitoring sub-systems of an aircraft to detect an abnormal condition, and for identifying one or more sources that are causing the abnormal condition. In response to detecting a trigger event during flight of the aircraft, data for a plurality of relevant parameters is measured and stored in a parameter file. The parameter file is transmitted from the aircraft over a wireless communication link, and relayed to a ground support network. At the ground support network, the measured data for the plurality of the relevant parameters is then used to identify the one or more sources that are causing the abnormal condition.

A method and an Adaptive Knowledge Management is provided. The Adaptive Knowledge Management System is used for assisting a user with decision making by providing real-time, on-line automated recommendations for actions in a monitored vehicle troubleshooting, performance trend monitoring, health management and preemptive maintenance domain diagnostics and prognostics. The system creates a Structured Knowledge Repository, constructed from models, historical data, and heuristics for organizing a model domain knowledge. It uses a plurality of Analytical and Machine Learning tools for capturing knowledge from data sources and populating cells of the Structured Knowledge Repository. A Mixed-Initiative Planning module is used for interpreting operation goals for the monitored vehicle and utilizing the Structure Knowledge Repository for developing recommendations for user decision making. A plurality of Mixed-initiative Decision Support tools use the feedback from the Mixed-initiative Planning module and query the Structured Knowledge Repository for incorporating the extracted knowledge and information into outputs dealing with current issues and contingencies.

A component trend monitoring system for monitoring the performance of components and comparing the performance with stored performance data to accurately trend and predict the failure of the components. The system includes computer chips attached to the various components, for receiving and storing historical and performance data about each component, and a processor for retrieving the stored data from the memory chips. The processor receives and analyzes the data against historical data for predicting failure based upon past trends within the historical data. The processor also provides a signal for impending failure of a given component.

Methods and systems for aircraft engine trend monitoring include periodically recording the outputs of engine-condition sensors and analyzing the results to examine piston-engine performance trends and predict the need for engine maintenance. Various analyses can be performed, separately or in parallel, including comparing the current parameter values with values recorded for that parameter in previous instances of similar operating conditions; comparing parameter values to predetermined nominal ranges; and detecting parameter values that exhibit trends over time that if followed would result in out-of-bound readings. Sensed parameter values can also be used to detect when recommended engine operating conditions are being exceeded. By using the results of the analyses to inform engine maintenance scheduling and provide alerts to the pilot and maintenance staff regarding recommended engine performance trends and / or operating condition exceedances, the methods and systems contribute to enhancing the level of safety that can be achieved despite significant maintenance-budget reductions.

Methods and systems for aircraft engine trend monitoring include periodically recording the outputs of engine-condition sensors and analyzing the results to examine piston-engine performance trends and predict the need for engine maintenance. Various analyses can be performed, separately or in parallel, including comparing the current parameter values with values recorded for that parameter in previous instances of similar operating conditions; comparing parameter values to predetermined nominal ranges; and detecting parameter values that exhibit trends over time that if followed would result in out-of-bound readings. Sensed parameter values can also be used to detect when recommended engine operating conditions are being exceeded. By using the results of the analyses to inform engine maintenance scheduling and provide alerts to the pilot and maintenance staff regarding recommended engine performance trends and / or operating condition exceedances, the methods and systems contribute to enhancing the level of safety that can be achieved despite significant maintenance-budget reductions.

In one embodiment, a method for health and trend monitoring for aircraft systems includes receiving, by a processor on the aircraft, a plurality of sensor signals from a respective plurality of sensors onboard the aircraft and determining a reference signal from a subset of the plurality of sensor signals. Next, each of the plurality of sensor signals is individually compared to the reference signal to provide a plurality of difference signals. Each of the plurality of difference signals is compared to a threshold value, and a maintenance message is provided for any respective sensor associated with any of the plurality of difference signals exceeding the threshold value. An aircraft employing the health and trend monitoring system is also disclosed.

The disclosed embodiments relate to methods and systems for monitoring sub-systems of an aircraft to detect an abnormal condition, and for identifying one or more sources that are causing the abnormal condition. In response to detecting a trigger event during flight of the aircraft, data for a plurality of relevant parameters is measured and stored in a parameter file. The parameter file is transmitted from the aircraft over a wireless communication link, and relayed to a ground support network. At the ground support network, the measured data for the plurality of the relevant parameters is then used to identify the one or more sources that are causing the abnormal condition.

A process control monitoring system for a process control plant uses graphic trend symbols to assist in detecting and monitoring trends of process variables within the process control plant. A graphic display application within the process control monitoring system may implement and display each graphic trend symbol to graphically indicate or encapsulate current trend and value information of a process variable within the process control plant. The graphic display application may display the graphic trend symbol in a spatially realistic location within a graphical representation of the process control plant while maintaining the hierarchical structure or each hierarchical level of the process plant. The graphic display application may also include a navigation pane and a zoom feature that enable a user to quickly drill down through tend data to obtain more information and to support problem identification and diagnosis tasks.

The present invention such as active diagnostic algorithms is developed not only to realize the early detection of degraded vacuum pumps for the protection of pump failure but also to provide their predictive maintenance. According to the present invention, it is possible to find simple and effective ways to deal with technical problems arising from the large variability of the pump-by-pump operation characteristics and the multiple process conditions where pumps run under the idle operation and gas-loaded operation conditions alternately, especially in semiconductor manufacturing process.

The present invention such as active diagnostic algorithms is developed not only to realize the early detection of degraded vacuum pumps for the protection of pump failure but also to provide their predictive maintenance. According to the present invention, it is possible to find simple and effective ways to deal with technical problems arising from the large variability of the pump-by-pump operation characteristics and the multiple process conditions where pumps run under the idle operation and gas-loaded operation conditions alternately, especially in semiconductor manufacturing process.

The present invention discloses a project safety management system based on BIM. The system comprises: an orientation voice disclosure management module, a quality information collection and quality acceptance module, a safety early warning and construction recording module, a personnel health state detection module, a field staff trend monitoring module and a field mechanical equipment monitoring module. The project safety management system based on the BIM improves the project quality safety management efficiency, improves the communication efficiency, improves the safety management timeliness and ensures the overall process traceability of the quality management.

The invention provides a real-time data system of industrial big data and an operation method. The system comprises a data acquisition module, a database module, a real-time report module, a trend monitoring module and a background program monitoring module. According to the invention, a real-time data format processing technology and a database technology are combined; an improved phased linear data compression algorithm and an improved B + number data index algorithm are used. The information technology of the real-time database system is sent to the enterprise, and a unified and comprehensive enterprise-level real-time database service platform is provided for the enterprise, so that real-time dynamic monitoring and analysis of the management decision process of the enterprise can be realized, the operation condition of the enterprise can be improved, problems can be timely discovered, the production cost can be reduced, and the product quality can be improved.

A method for monitoring a GIS (gas insulated switchgear) by the aid of a high-frequency partial discharge online system comprises following steps that 1), the high-frequency partial discharge online system simultaneously independently detects a plurality of GIS monitoring points by the aid of an ultra-high-frequency method; 2), the high-frequency partial discharge online monitoring system shows an arrangement diagram of partial discharge probe marks and distribution; 3), the high-frequency partial discharge online monitoring system is provided with a filtering device; 4) the high-frequency partial discharge online monitoring system has a real-time data display function; 5), an expert system of the high-frequency partial discharge online monitoring system can realize automatic qualitative judgment of an ultra-high-frequency signal, and the type of the ultra-high-frequency signal is displayed on a man-machine interaction interface; 6), the high-frequency partial discharge online monitoring system provides a discharge history records and trend monitoring; 7), the high-frequency partial discharge online monitoring system realizes self checking automatically; and 8), the high-frequency partial discharge online monitoring system realizes remote monitoring. Compared with the prior art, the method for monitoring the GIS by the aid of the high-frequency partial discharge online system timely and effectively detects the GIS by the aid of a series of means, and effectively guarantees normal running of system equipment.

The invention discloses a steel spring and tension sensor based dangerous rock collapse detection device and a steel spring and tension sensor based dangerous rock collapse detection method. The steel spring and tension sensor based dangerous rock collapse detection device comprises a plurality of tension sensors, the two ends of each tension sensor are both fixedly installed with one end of each steel spring, the other end of each steel spring is fixedly connected with a foundation seat which is fixed in an underholing formed in one side of a crack of a dangerous rock, a wireless module is arranged on each tension sensor, the wireless modules are connected with a receiving main engine through wireless signals, and the receiving main engine is connected with a receiving terminal. The invention simultaneously and further discloses the detection method of the steel spring and tension sensor based dangerous rock collapse detection device. According to the steel spring and tension sensor based dangerous rock collapse detection device and the steel spring and tension sensor based dangerous rock collapse detection method, mechanical parameter variation of the dangerous rock is used for collapse trend monitoring, and a data wireless sensor network is achieved and established. The steel spring and tension sensor based dangerous rock collapse detection device and the steel spring and tension sensor based dangerous rock collapse detection method has the advantages of being high in precision, breakage-proof, strong in antijamming capacity, convenient in measuring and the like.

The present invention discloses a database load trend monitoring method. The method comprises: Step S1: periodically collecting database performance data by configuring a timing task, and establishing a resource baseline; Step S2: filtering the collected database performance data, and monitoring a year-on-year trend and a month-on-month trend for each resource usage; Step S3: pushing the resources that are not in the baseline library to the baseline library correction, dynamically generating the baseline by using the system, and re-storing the baseline back to the baseline library; and Step S4: for the resources with the established baseline, comparing the collected performance data with the baseline, if the performance change does not exceed the specified threshold, collecting a baseline corrector for baseline correction, and otherwise, if the performance change exceeds the specified threshold, issuing a performance warning for the resource usage. According to the method disclosed by the present invention, the warning can be automatically issued for the database performance in advance, the probability of occurrence of failure can be reduced, and requirements of standardization and platform management monitoring for mass machines can be satisfied.

The invention belongs to the technical field of agricultural insurance, and especially relates to a yield insurance claiming method based on spatial big data, which carries out analysis and processingby using spatial big data. The method includes the following steps: (1) creating target data, rising trend monitoring data, remote sensing yield estimation data and meteorological data interfaces ona big data platform; (2) acquiring yield estimation data according to a target, and formulating a data analysis model; (3) inputting the target, rising trend monitoring data and meteorological data tothe analysis model; (4) obtaining yield estimation data according to model data; and (5) making compensation according to the difference between the yield estimation data and the contract yield dataand the standard of compensation grades. The yield data of a target can be evaluated, the compensation standard can be formulated according to the yield data, the risk to the target can be evaluated according to the data statistics in big data, and whether the target is to be insured can be judged. Therefore, the risk to insurance companies is reduced, and profit is increased.

The invention provides a crop biomass remote sensing estimation method considering water stress. The method comprises the steps of S1: obtaining optical remote sensing data with a near-infrared waveband and a shortwave infrared waveband in a target region; S2: performing atmospheric correction processing on the obtained optical remote sensing data to obtain real surface reflectivity data of the target region; S3: extracting a planting space distribution region of crop; S4: determining a normalized vegetation index and a time integral value of the crop; S5: obtaining a water stress coefficient of the crop; S6: obtaining a biomass conversion coefficient of the crop; and S7: building a biomass estimation model of the crop. The method is in favor of estimating the biomasses of the crop in different growth periods more accurately in regional scale, and has important application values in the aspects of further realizing crop growth trend monitoring, yield estimation, drought monitoring, drought loss assessment and the like.

A system and method are provided that are directed to the technological problem of performing real-time trend analysis to provide real-time cockpit level event predictions. The provided systems and methods further provide real-time corrective action suggestions associated with the real-time trend analysis.

A process control monitoring system for a process control plant uses graphic trend symbols to assist in detecting and monitoring trends of process variables within the process control plant. A graphic display application within the process control monitoring system may implement and display each graphic trend symbol to graphically indicate or encapsulate current trend and value information of a process variable within the process control plant. The graphic display application may display the graphic trend symbol in a spatially realistic location within a graphical representation of the process control plant while maintaining the hierarchical structure or each hierarchical level of the process plant. The graphic display application may also include a navigation pane and a zoom feature that enable a user to quickly drill down through tend data to obtain more information and to support problem identification and diagnosis tasks.

The invention discloses an environmental pollution trend monitoring system. The environmental pollution trend monitoring system comprises n front-end devices, a transmission network, a data cube and a WEB server, wherein the front-end devices are used for collecting environmental pollution data of corresponding detection points, the input end of the transmission network is connected with the output ends of the front-end devices, the input end of the data cube is connected with the output end of the transmission network, the data cube is used for carrying out storage and computation on received data, the input end of the WEB server is connected with the output end of the data cube, and the WEB server is in interactive connection with the transmission network, and is used for carrying out final processing and publishing on the data. The environmental pollution trend monitoring system has the advantages of being low in manufacturing cost, good in real-time performance of monitoring, high in accuracy of monitoring, and capable of comprehensively reflecting the environmental pollution trend such as the current situation and the development trend of environmental quality.

The invention provides an intelligent irrigation cloud platform based on the internet. The intelligent irrigation cloud platform comprises an intelligent irrigation cloud data central unit module achieving the effects of data collection, transmission, storage, processing and utilization and an irrigation and fertilization dosage element information monitoring subsystem unit module which is responsible for receiving and storing of crop growth environment and growth trend monitoring information. The intelligent irrigation cloud platform based on the internet is novel in conception, an expert system, model management, big data and an artificial intelligence technology are integrated into a whole, the water conservancy facility project construction process is monitored and managed in an all-dimensional mode, intellectualization of management dispatching and decision-making scientization are achieved, and conversion to dynamic management, precision management and quantitative management is achieved; meanwhile, an inter-sector cooperative office way is achieved, and the treating capacity of water conservancy interconnection is improved.

The invention provides a high voltage transmission line operating state evaluating method in a micro-meteorological environment. The resistance R, the reactance X and the susceptance B of power parameters are combined with the micro-meteorological detection parameter data of temperature and humidity to form a system structural parameter database. Power parameters and micro-meteorological parameters are fit to form a power parameter-micro-meteorological evaluation surface. The data which are acquired in real time are used to update the database and the power parameter-micro-meteorological evaluation surface. A large number of data are acquired, updated and adjusted to construct the power parameter-micro-meteorological evaluation surface based on historical big data, and the power parameter-micro-meteorological evaluation surface is used as an initial reference surface for parameter evaluation to form a standard database. A pre-alarm difference threshold is set. A great data support is provided for power system trend monitoring, voltage dynamic stability monitoring and early warning, dynamic process monitoring and recording and accident analysis, and three-state data integration andmanagement. The manpower labor pressure of line patrol personnel is reduced. Real-time dynamic accurate data are provided for a power system.

The invention belongs to the field of airborne information management systems, and particularly relates to an aircraft data recording device, which comprises a server module (1), an avionic interface module (2), a high-capacity memory (3) and a security network module (4). According to the aircraft data recording device, an aircraft parameter, ACARS message, audio data and video data subscription request is sent to the avionic interface module through the server module, and data published by the avionic interface module is recorded in the high-capacity memory through the server module, so that an aircraft parameter, an ACARS message, cockpit audio data and video data are recorded and rapidly accessed; the recorded data can be applied to scenarios of aircraft health trend monitoring and the like; by applying the aircraft data recording device, the operating efficiency of an aviation company can be improved, the aircraft dispatching rate can be increased, flight delays can be reduced, and the maintenance cost can be reduced.

The invention provides a network information transmission monitoring method and device. The method comprises the steps that according to a monitored target event, web page data including the target event is collected; the web page data is analyzed, network sources and network transmission data of the target event are obtained; the network sources and network transmission data are synthesized, a monitoring value of the target event is calculated, wherein the monitoring value is used for showing the transmission trends of the target event on the network. According to the network information transmission monitoring method and device, the degree of accuracy of development trend monitoring of information on the network is increased.

A process control monitoring system for a process control plant uses graphic trend symbols to assist in detecting and monitoring trends of process variables within the process control plant. A graphic display application within the process control monitoring system may implement and display each graphic trend symbol to graphically indicate or encapsulate current trend and value information of a process variable within the process control plant. The graphic display application may display the graphic trend symbol in a spatially realistic location within a graphical representation of the process control plant while maintaining the hierarchical structure or each hierarchical level of the process plant. The graphic display application may also include a zoom feature that enables a user to quickly drill down through tend data to obtain more information and to support problem identification and diagnosis tasks.

The invention provides a cluster health integrated management system architecture and a construction method, and the cluster health integrated management system architecture is divided into an infieldand an outfield from the aspect of physical position distribution, and the infield and the outfield are in network interconnection through a mobile ad hoc network. The infield mainly comprises a scheduling server, a data comprehensive management server, a data application management server and fixed clients of all business departments, and the outfield mainly comprises a data sending terminal, adata card reader and a portable mobile terminal. The construction method of the cluster health comprehensive management system comprises the steps of data collection, data storage management, data pushing and data application. According to the invention, fusion analysis of various data such as flight parameter data, quality control data, flight plan data, engine monitoring data and the like is realized, the functions of aircraft health state management, health trend monitoring and the like are realized, the informatization and automation level of ground guarantee taking the data as a core is improved, and the work efficiency of aircraft maintenance guarantee is greatly improved.