2147results about How to "Improve monitoring effect" patented technology

A personalized physiological monitor utilizes an individual genome sequence along with genetic and medical research databases so as to define a person's genetic predisposition to disease, drug reactions and environmental sensitivities so as to enhance the ability of the monitor to determine the physiological status of the person.

A hand cleansing monitoring system that electronically monitors and communicates hand washing frequency and procedures to management through a computer based system.

A hand cleansing monitoring system that electronically monitors and communicates hand washing frequency and procedures to management through a computer based system.

A self-contained, solar-powered mobile monitoring system is independent of external power sources and remotely accessible using a web browser. The system may include a mobile enclosure that houses a power regulator and batteries, which allow for the distribution and collection of electricity generated by solar panels mounted to the top of the enclosure. Also attachable to the mobile enclosure are weather sensors and an extendable tower. A camera is mountable to the top of the tower to allow for video monitoring, and a mobile camera is further provided for site-specific monitoring. Houseable inside the enclosure is monitoring equipment that collects video from the tower and mobile cameras, and weather data from the weather sensors. Networking equipment housed inside the enclosure make these data wirelessly accessible to local computer users by virtue of an omni-directional antenna mounted to the extendable tower. The data also is transmitted wirelessly to an Internet connection, whereupon the data are routed to a network operations center to allow access by off-site, remote users.

The invention discloses a website monitoring system and method applicable to a power industry. The system comprises an interaction layer, a data layer, a scheduling layer and a detection engine. The scheduling layer is used for scheduling the detection engine to carry out periodic automatic detection on tasks issued by users and summarizing detection results to the data layer after the detection is finished. The detection engine is used for receiving detection commands issued by the scheduling layer, detecting target websites, identifying Web security vulnerabilities, carrying out deep security physical examination on the website, monitoring website operation security states in real time, identifying the condition that a webpage is illegally tampered, malicious code is embedded into the webpage, a domain name is hijacked, an access page is refused and sensitive information occurs in the webpage, collecting internal security information on site by employing a vulnerability scanning device and a vulnerability detection tool, checking hidden vulnerabilities and deep security events, collecting website security physical examination results, website operation security state and onsite security checking results and transmitting the data to a database for storage.

The invention relates to a real-time dynamic 3D water balance monitoring system of a power plant and a working method of the system. The system is characterized by comprising a data collection module, a data transmission module, a data storage module, a monitoring center and a data analysis and application module, wherein the data collection module collects flow data, and the data transmission module returns data collected by the data collection module in real time. Water volume data of different collection points is collected by the data collection module, transmitted to the data storage module by the data transmission module, and further transmitted to the data analysis and application module by the data storage module. The system and method have the advantages that the relation between water volume change and generating load is found via data analysis, the imbalance rate is calculated, and thus, scientific basis is provided for planning water-saving measures of the power plant.

The multiple picture frames decollating system belongs to the field of video digital image treating technology, and is especially multiple picture frame great screen TV wall decollating display system. The present invention consists of two parts, including multiple picture frame decollator and large screen display equipment. The multiple picture frame decollator consists of a computer with video and audio treating card, operation system and control software, a control monitor and sound box. The large screen display equipment is large screen liquid crystal screen, plasma screen or large screen rear projecting TV with VGA / DVI interface. The present invention may be used in multiple picture frame monitoring in different fields. The present invention may be controlled in different modes.

Heart monitoring apparatus with sensing stage connectable to intracardiac electrode picking up electric potentials and adapted to process electric signals representing a time course of said potentials, a mechanical action detection stage adapted to generate a geometry signal having a time course reflecting heart chamber's geometry change, an evaluation unit connected to sensing stage and impedance measuring stage and adapted to determine a first and second fiducial point in the time course of said potentials and geometry signal, respectively, both fiducial points belonging to same heart cycle, and to determine a measured time delay between said fiducial points. Evaluation unit adapted to repeat said determined time delay to determine plurality of measured time delays and variance thereof or divergence of the statistical properties of cycle times based on said time course of said electric potentials versus cycle times based on said time course reflecting a change of a heart chamber's geometry.

The invention discloses an automatic vehicle overall size measuring system and method based on vision. The system comprises four cameras, four pan tilts, a transverse horizontal camera support, a longitudinal horizontal camera support, an image collection card, a computer system and a position sensor. Each camera is installed in one pan tilt. Two cameras are fixed to the transverse horizontal support, and the other two cameras are fixed to the longitudinal horizontal support. The position sensor is installed at the position, being about to enter the view field range of the cameras, of a vehicle and used for sensing the position of the vehicle, and provides a trigger signal for the computer system. The automatic vehicle overall size measuring system can reduce the cost and has the advantages of being automated, contactless, high in precision, high in adaptability and the like, and can effectively recognize overrunning vehicles, overload vehicles and other illegal vehicles, meet the requirements of vehicles for comprehensive performance detection, and improve highway traffic system monitoring performance and the vehicle management level.

The invention provides an unmanned aerial vehicle cruising and monitoring system for forest fire. The weight of the unmanned aerial vehicle is reduced, flight time is prolonged, an unmanned aerial vehicle cruising range is enlarged, route planning is carried out for fire monitoring, and an unmanned aerial vehicle flight control system is combined with a geographic information system. The route planning not only guarantees monitoring quality and monitoring full coverage but also considers the hardware parameters and the flight safety of the cruising unmanned aerial vehicle, a rotary head carries a thermal infrared imager and a colorful high-definition camera, the thermal infrared characteristics of the image of the forest fire are fully utilized, and an automatic monitoring and identification method for forest fire information is designed. Even if the forest fire monitoring distance of the unmanned aerial vehicle is long, fire characteristics can be accurately captured. A colorful high-definition image is compressed and transmitted back to a ground command post, a high-definition fire video image can be quickly transmitted to the ground, a fire position can be accurately reported, so that convenience is brought to the ground command post in accurately judging a fire situation and organizing people to fight the fire, and precious fire-fighting time is saved.

The invention discloses an unmanned aerial vehicle collected image-based construction fugitive dust pollution source automatic monitoring and influence scope prediction system and method. The system comprises an aerial photographing system and a ground supervising and processing system, wherein the aerial photographing system comprises an aerial photography rotor aircraft, a mobile device and a control terminal; the mobile device and the control terminal communicated with the aircraft in a wireless manner, the aircraft is controlled to collect pollution source monitoring zone images, and the ground supervising and processing system comprises an image processing unit and a user terminal; the image processing unit is used for preliminary screening, distortion correction and smoothing of qualified images among aerial photos; the image processing unit is also used for pollution source RGB color characteristic enhancement, edge detection, pollution source existence determination and recheck, suspected pollution source characteristic extraction, pollution source RGB color characteristic value extraction, suspected pollution source characteristic comparison, image splicing, and pollution source distribution analysis and influence scope prediction; the user terminal can display complete pollution source monitoring area images, pollution source distribution map and influence scope prognostic maps.

The invention discloses a batch process failure monitoring method based on AR-PCA (Autoregressive Principal Component Analysis). Through the batch process failure monitoring method, the batch process with strong dynamics can be monitored online; when monitoring the bath process, a conventional MPCA (Multiway Principal Component Analysis) does not take corresponding self-correlation and mutual correlation of variables due to the existence of various random noises and interferences into account, so that a large quantity of false alarm is generated in the online monitoring process. The batch process failure monitoring method comprises the following steps: firstly, building a multi-variable autoregressive (AR) model according to measurement variables, recognizing a model coefficient matrix by using a PLS (Partial Least Squares) method and recognizing a model order by using an AIC (Akaike Information Criterion); and then building a PCA model for a residual error of the AR model. Meanwhile, training data is introduced when a new bath of data is monitored online through the algorithm, so that the monitoring effect of the algorithm is improved. Through the batch process failure monitoring method, the defect of a large quantity of false alarm of the conventional MPCA method during the process of monitoring the batch process with strong dynamics can be made up; and the batch process failure monitoring method is of great significance to monitoring of an actual bath production process.

The invention discloses a GPS (Global Positioning System) track irregularity detection system and method. The system comprises a measuring unit and a data postprocessing unit, wherein the measuring unit comprises a moving bracket movably arranged on the surface of a track, and a measuring device; the measuring device is rigidly fixed on the moving bracket and comprises two independently-arranged measured data acquisition recorders; the measured data acquisition recorders are used for measuring state data of the moving bracket in real time and recording the state data measured at every time to a data recording unit according to a time sequence arrangement; and the data postprocessing unit is used for processing the state data recorded in the data recording unit in an off-line way. The GPS (Global Positioning System) track irregularity detection system and method disclosed by the invention have the advantages of high measurement precision, high measurement speed and complete measuring functions.

The invention discloses a real-time material distribution method in a mechanical product assembling process, which is characterized in that: according to the production plan on the same day, calculating to obtain all required parts; by considering the storage capability, the existing amount, the material lead time and the product cycle time of each part on each station, calculating a material distribution scheme; distributing the parts in time on small batches according to the obtained distribution scheme; simultaneously, tracking the on-site production situation by an MES system in real time; recording manufacturing product situation and the material consumption situation of each station; and timely feeding back production plan information and station inventory information. The method of the invention can realize on-time material distribution, feeds back and adjusts the distribution scheme in time according to real-time working condition, can improve production efficiency and lowers product cost.

The invention relates to a water environment monitoring system based on ZigBee wireless technology. The current monitoring usually uses a way of wired transmission, which results in difficult routing and high cost. The water environment monitoring system of the invention comprises a plurality of water environment monitoring nodes which are distributed in water environment monitoring regions and a data and video base station, wherein, the water environment monitoring node is based on the ZigBee wireless technology and comprises a node microprocessor module, a node ZigBee radio frequency module CC2420 radio frequency chip, a power management module and a water quality parameter collection module. The data and video base station uses the structure of ARM-DSP dual processors and comprises a base station ZigBee radio frequency module CC2420 radio frequency chip, CDMA transmission module HUAWEI-CM320, a video signal collection module and a microprocessor module. The water environment monitoring system of the invention can simultaneously collect a plurality of parameters of water quality, and has the advantages of strong data communication capacity and wide network coverage area. Moreover, the water environment monitoring system of the invention can realize real-time collection, processing and wireless transmission of video signals.

The invention relates to a method for monitoring surface subsidence of areas along urban subways. The method is combined with multi-source SAR data and timing InSAR technological means, and specifically comprises following steps: acquiring high-medium-resolution SAR image data of a monitoring range covering the areas along the urban subways in the same period; establishing interval division of theareas along the urban subways; extracting deformation information of the areas along the urban subways from multi-source data with the timing InSAR technology; evaluating interval division and precision of subsidence of the areas along the urban subways. The method reflects combination value of timing InSAR technology and SBAS-InSAR technology very well and shows the prospect of different-sourcedata combined connection, and a high-precision and high-accuracy inverse result of surface subsidence of the intervals along the urban subways under the absence of other back-check conditions is obtained. The interval evaluation for the surface subsidence of the areas along the urban subways is the innovative characteristic of the method, and effective and reliable technical support is provided for discovery and control of subsidence disasters of the urban subways.

The invention discloses a continuous monitoring system of overburden rock displacement in an ore bed mining process, which comprises an inclination measuring drilling hole, an inclination measuring pipe assembly, a monitoring device and a monitoring station. When in use, a plurality of fixed inclinometers are arranged at different positions as required so as to realize the continuous whole-coursemonitoring on mined overburden rock displacement; meanwhile, the monitoring device for a flexible chain structure can be used for preventing the damage of overburden rock movement on instruments so as to ensure monitoring is carried out smoothly; and the monitoring system is used for evaluating the space-time influence degree of the mining to overburden rock so as to provide a basis for the judgment of the influenced degree and the safety of deep mining operation execution, facilities in an overburden rock stratum, ground facilities, and the like. In addition, the invention also discloses a method for structuring the monitoring system, wherein methods for embedding an inclination measurement pipe, carrying out anti-sliding safety protection during lowering the inclination measurement pipe, lowering the inclination measurement pipe when water or no water exists in the drilling hole, fixing the inclination measurement pipe by deep hole grouting, and the like not only effectively solve the problem of huge difficulty on installing deep-hole inclination measurement pipes, but also effectively improve the construction efficiency and the safety.

The invention discloses an orchard planting monitoring system based on wireless sensor networks and a monitoring method thereof. The system comprises a plurality of wireless sensor networks comprisinga plurality of wireless sensor nodes, gateway nodes, a communication server connected with the gateway nodes and a host monitoring machine connected with the communication server. The method comprises the following steps: 1. self-organizing the plurality of wireless sensor networks by the plurality of wireless sensor nodes and transmitting monitoring data to the gateway nodes after collection atregular time, and then packing and transmitting the monitoring data to the communication server by the gateway nodes; 2. transmitting the monitoring data to the host monitoring machine by the communication server; and 3. pretreating the monitoring data and removing pseudo data by the host monitoring machine, and transferring an expert system for analyzing and processing the monitoring data and making a corresponding mentoring program. The invention has the advantages of reasonable design, low cost, simple and convenient operation, good monitoring effect and high degree of intelligence, provides the effective guiding scheme for peasant household and can carry out warning on the peasant household in real time.

The invention discloses a positioning device based on wireless access points and video monitoring. A video management server for a video monitoring system comprises a user management module, a wireless access point management module, a positioning module and a query module. The positioning device is combined with a video monitoring system and wireless access points at resident homes, the corresponding relationship between the wireless access points and user home position information is determined, in addition, the current position of a mobile terminal is determined according to the current state information of the mobile terminal, the positioning of the mobile terminal is realized, and nearby monitoring cameras are provided on the basis of the current position of the mobile terminal for real-time monitoring. The invention also discloses the positioning device based on the wireless access points and video monitoring, and the positioning device is applied to monitoring cameras and comprises a wireless access module and a wireless access point position positioning module. The device has the advantages that on the basis of the existing monitoring facilities, the value addition service is realized, in addition, the position information of many family members can be simultaneously tracked, the cost is low, and the monitoring effect is good.

The invention discloses a batch process online-monitoring method based on a small number of batches. Aiming at the defect of insufficient modeling samples under the situation of a small number of batches, the method fully utilizes the information of a small number of modeling batches to construct a novel analytical unit generalization time slice to provide sufficient samples for analysis modeling. Through the analysis on the generalization time slice, the time-varying characteristics of potential characteristics of a process are effectively extracted, and meanwhile, automatic and ordered time frame partition is conducted on the process with the time sequence during a real process considered. A multi-period monitoring model is established based on the result of the time frame partition, and the number of models and complexity are reduced. The monitoring model has good monitoring performance and is perfected through online model updating, and then monitoring reliability of the model is guaranteed. The method is simple and easy to implement, an industrial engineer can make accurate judgment on the operation state of the process conveniently and find out failures in time, and then safe and reliable operation of actual production and high quality of products are guaranteed.

The invention discloses an ICA-PCA multi-working condition fault diagnosis method based on local neighborhood standardization and Bayesian inference. The method firstly carries out independent sampling of each normal working condition during an industrial course to obtain a training dataset, carries out the local neighborhood standardization of the training dataset to obtain a dataset which follows single distribution, and then uses an ICA-PCA method to respectively analyze and process Gaussian features and non-Gaussian features of the dataset so as to obtain an overall model. At an online monitoring stage, independent and repeated sampling is carried out to industrial course data, a plurality of statistical quantities are acquired by applying the model to carry out analysis and processing after the local neighborhood standardization processing, then the multiple statistical quantities are combined into one statistical quantity by the Bayesian inference, and a fault diagnosis result is acquired by comparing control limits. In comparison with traditional fault diagnosis methods, the ICA-PCA multi-working condition fault diagnosis method based on the local neighborhood standardization and the Bayesian inference disclosed by the invention can simplify processing courses, improve diagnosis effects and improve course monitoring performance, and can also make workers' monitoring and observation convenient, make for avoiding safety hidden dangers and guarantee normal running of the industrial course.

The invention provides a stereoscopic vision system and the application thereof to real time monitoring of a three-dimensional safety warning area. The stereoscopic vision system comprises a computerized binocular stereoscopic vision system designed by imitating human eyes; two groups of binocular cameras are respectively placed outside two orthogonal planes in a stereoscopic space being monitored, namely the three-dimensional safety warning area, so as to observe the same object; two groups of disparity maps are respectively obtained through a stereoscopic matching module; the depth and the position information of the object are computed, namely two groups of space coordinates comprising depth maps are respectively computed in a real time manner; and the application steps comprise the determination of elevation angles of the binocular cameras, the conversion of a coordinate system and the delimitation of the three-dimensional safety warning area. Functions of real-time monitoring of the space coordinates of objects inside and outside the three-dimensional safety warning area, and real-time warning when the object to be monitored exceeds the restriction and the constraint of the area, namely the distances from the point of the object to the planes of the three-dimensional safety warning area are smaller than the safety distance are successfully realized, the limitation existing when three-dimensional space information of the object is detected by a single group of binocular cameras is effectively overcome, and the monitoring effect is remarkably improved.

The invention discloses a satellite positioning and static leveling-based layered settlement monitoring system and method. The system comprises a base station, a monitoring station which is arranged in a settlement monitoring area and a monitoring center which communicates with the monitoring station, wherein the base station communicates with the monitoring station; the monitoring station comprises an observation pillar, a second Beidou satellite signal receiver mounted on the observation pillar, a data transmission unit, a plurality of layered settlement marks and a static level system; the static level system comprises a plurality of static level gauges; each layered settlement mark is provided with one static level gauge; one of the static level gauges is arranged on the observation pillar. The method comprises the following steps: I, setting of the monitoring system; II, data acquisition and transmission; III, data processing and analysis. According to the satellite positioning and static leveling-based layered settlement monitoring system and method, the calibration and correction problems of the instable working base points during the static leveling can be effectively solved, and the long-term, remote and real-time monitoring for the layered settlement deformation of the geologic bodies can be realized.

The invention aims at providing a method for adjusting the working parameters adaptively and a monitoring terminal equipment; in this way, the monitoring front terminal can adjust the working parameters adaptively according to the monitoring pattern; on one hand, the video and audio information quality could be altered and storage space can be saved; on the other hand, a plurality of areas could be monitored with one monitoring front terminal, which is characterized in simple operations and promoted monitoring performance.

The invention provides a traction machine detection or diagnosis system, which comprises a sensor, a conditioning circuit, a data acquisition circuit and a controller which are sequentially connected. The sensor is used for detecting a status signal of the traction machine and transmitting the status signal to the conditioning circuit; the conditioning circuit is used for receiving the detected status signal and transmitting a switching signal which corresponds to the status signal to the data acquisition circuit; the data acquisition circuit is used for acquiring the switching signal and transmitting the acquired signal to the controller; and the controller is used for processing and displaying the status information of the traction machine. The traction machine detection or diagnosis system has the advantages of acquiring and processing the status signal of the traction machine, displaying the diagnosis result, specially detecting the status information of the traction machine, along with low cost and good monitoring effect.

The invention relates to a screening method for 43 artificial synthetic pigments in an aquatic product. The method comprises the following steps: screening by virtue of quadrupole tandem time-of-flight mass spectrometry of liquid chromatogram; calling an established mass spectrometry screening database to automatically scan and retrieve in a molecular matching mode; through a C18 analytic column, carrying out gradient elution by taking an acetonitrile solution containing 0.1% of formic acid in a 5mmol / L ammonium acetate aqueous solution as a moving phase, wherein the flow rate is 0.3ml / minute; and detecting under a negative ion mode by using an electrospray ionization source, extracting a suspicious sample, purifying the sample by virtue of a matrix dispersion method, carrying out liquid chromatographic separation, quantitatively determining by virtue of an external standard method, and verifying. The screening method has the advantages that the detection method is simple and quick to operate and high in sensitivity. By adopting the matrix dispersion method to purify the sample, the interference of matrix components is effectively reduced. Misjudgment events such as false positive events are greatly reduced by virtue of the qualitative function of the quadrupole tandem time-of-flight mass spectrometry, so that the monitoring ability of the detection mechanism on the risk of the aquatic product is extremely enhanced.

The invention discloses a discrete manufacturing process product quality information management system based on RFID (radio frequency identification). The system provided by the invention is characterized in that a first handset, a label printer, an warehousing access control scanning reader, a second handset, a third handset, an ex-warehouse access control scanning reader, a warehouse management sub-system, a monitoring computer and a database are used for completing the warehouse management; a first fixed reader-writer, a fourth handset, a second fixed reader-writer, a fifth handset, an assembling management sub-system, the monitoring computer and the database are used for completing the assembling management; a sixth handset, an after-sale management sub-system, the monitoring computer and the database are used for completing the after-sale management; the product quality information management system is capable of transmitting the quality information between a planning level and a workshop level in an enterprise; and the top management can know the production progress and product quality in real time, can accurately position faulty products, rapidly and accurately find a reason causing the quality defect. The invention further discloses a product quality information management method.

The invention relates to the technical field of machining, in particular to a cutter wear estimating and monitoring method and system based on characteristic fusion. The method comprises the steps ofdata flexible acquisition, working condition division, data preprocessing, characteristic extraction, characteristic fusion and estimation and monitoring. The system comprises a working condition division module, a data preprocessing module, a characteristic extraction module, a characteristic fusion module, an estimation and monitoring module and a self-learning module serially connected in sequence. The method and the system can realize multi-signal, multi-working-condition and multi-dimension fusion of original signals to obtain characteristic indexes capable of comprehensively reflecting the cutter wear state for estimating cutter real performance state and change rules to give more precise timely prewarning, alarm and feedback optimization policies. Through improvement of cutter wearonline estimation and monitoring performances, the machining problems caused by cutter wear are gradually solved, and the cost reduction, the quality improvement and the efficiency improvement in themachining process are finally achieved.

The invention discloses a road network traffic optimization control system and method, belonging to the field of traffic. The method comprises: traffic data of a road network, especially intersection turning flow data and section divisional flow data, is extracted based on fusion analysis on vehicle-mounted GPS / Beidou positioning data and fixed detector data; a method for detecting a road network traffic state with travel delay index two-dimensional coordinates as characterization parameters is provided, and the road network state is represented by a region range; based on user travel path analysis data, a dynamic dividing method for traffic coordination control cells is provided; by adopting road upstream and downstream traffic capacity analysis technology and with a control target of regional road network traffic optimization, a linked optimization method for a control scheme of signals at crossroads near a regional key intersection is provided; and an intersection signal control adaptive optimization method based on a traffic delay index is provided. The method improves the active prevention and control capability of the control system for road network congestion.

The invention discloses a fault detection method based on an analytic hierarchy process and weighted vote decision fusion. According to the method, firstly, multiple classifiers are selected as fusion sub-classifiers, multiple classifier models are established through a training data set, corresponding evaluation indexes are obtained according to the classification result of each classifier, and then multiple classifiers are scored and sequenced with the analytic hierarchy process, so that each classifier is endowed with the corresponding weight. Finally, multiple classifier decision results are integrated with a weighted vote fusion method, and the final fault detection result is obtained. Compared with other methods at present, the fault detection method has the advantages that the monitoring effect of the industrial process is improved, mastering and operation confidence of a process operator for the process are enhanced, the limitation of single fault detection methods is overcome to a great extent, and automatic implementation of the industrial process is better facilitated.