2438results about How to "Improve monitoring accuracy" patented technology

A method for operating a sleep phase actigraphy synchronized alarm clock that communicates with a remote sleep database, such as an internet server database, and compares user physiological parameters, sleep settings, and actigraphy data with a large database that may include data collected from a large number of other users with similar physiological parameters, sleep settings, and actigraphy data. The remote server may use “black box” analysis approach by running supervised learning algorithms to analyze the database, producing sleep phase correction data which can be uploaded to the alarm clock, and be used by the alarm clock to further improve its REM sleep phase prediction accuracy.

A system and method is provided for use in connection with delivering content that is targeted to users of a broadcast network. In order to select content that is targeted to users of the broadcast network, signals are received from a plurality of customer premise equipment devices (CPEs) of the network users via a broadcast network interface. Based on the received signals, broadcast assets (e.g., programming, advertisements etc.) are selected from a collection of available asset options. Accordingly, at least a portion of the selected assets are inserted into a content stream of the broadcast network. Once the content stream is broadcast over a broadcast network interface, at least a portion of the selected assets area available for receipt by at least a portion of the CPEs. The CPEs generate reports regarding assets delivered such that asset providers can be billed based on guaranteed targeted impressions.

A system and method is provided for use in connection with delivering content that is targeted to users of a broadcast network. In order to select content that is targeted to users of the broadcast network, signals are received from a plurality of customer premise equipment devices (CPEs) of the network users via a broadcast network interface. Based on the received signals, broadcast assets (e.g., programming, advertisements etc.) are selected from a collection of available asset options. Accordingly, at least a portion of the selected assets are inserted into a content stream of the broadcast network. Once the content stream is broadcast over a broadcast network interface, at least a portion of the selected assets area available for receipt by at least a portion of the CPEs. The CPEs generate reports regarding assets delivered such that asset providers can be billed based on guaranteed targeted impressions.

A system and method is provided for use in connection with delivering content that is targeted to users of a broadcast network. In order to select content that is targeted to users of the broadcast network, signals are received from a plurality of customer premise equipment devices (CPEs) of the network users via a broadcast network interface. Based on the received signals, broadcast assets (e.g., programming, advertisements etc.) are selected from a collection of available asset options. Accordingly, at least a portion of the selected assets are inserted into a content stream of the broadcast network. Once the content stream is broadcast over a broadcast network interface, at least a portion of the selected assets area available for receipt by at least a portion of the CPEs. The CPEs generate reports regarding assets delivered such that asset providers can be billed based on guaranteed targeted impressions.

A system and method is provided for use in connection with delivering content that is targeted to users of a broadcast network. In order to select content that is targeted to users of the broadcast network, signals are received from a plurality of customer premise equipment devices (CPEs) of the network users via a broadcast network interface. Based on the received signals, broadcast assets (e.g., programming, advertisements etc.) are selected from a collection of available asset options. Accordingly, at least a portion of the selected assets are inserted into a content stream of the broadcast network. Once the content stream is broadcast over a broadcast network interface, at least a portion of the selected assets area available for receipt by at least a portion of the CPEs. The CPEs generate reports regarding assets delivered such that asset providers can be billed based on guaranteed targeted impressions.

A method and an arrangement for controlling a drive unit are suggested wherein a maximum permissible value of an output quantity is determined. This maximum permissible value is compared to the actual value and, when the permissible value is exceeded by the actual value, reaction measures are initiated. The maximum permissible value is filtered at least in one operating state in accordance with filter means including a filter and a dead zone member. Furthermore, the maximum permissible value is continuously reduced in dependence upon the approaching of at least one quantity to a limit value. This quantity represents an operating state.

An electronic system for the continuous monitoring of voltage charge within the electrical system of a motor vehicle having an electrical generation source and a secondary electrochemical cell or battery. The system comprises a programmable in-vehicle monitor having a flashing LED indicator that alerts the vehicle operator of the condition of the electrical system. An example of the invention comprises a plug-in housing for use in a vehicle accessory-power-socket. Additionally, a method of market distribution is disclosed.

A belt monitoring system which can accurately monitor the condition of a conveyor belt by correcting it for the effect of belt deviation. Wear detecting magnets (11), which are rubber magnets spanning the entire belt width, are embedded at intervals along the circumferential direction of the conveyor belt (2). Also, position determining magnets (12, 12z) are embedded in positions a predetermined distance apart from the wear detecting magnets (11). In addition, a plurality of magnetic field detecting means (13: 13A-13G) for detecting the magnetic fields from the magnets (11, 12, 12z), which are arranged at predetermined intervals in the width direction of the conveyor belt (2), are disposed in a position spaced apart from the surface of the conveyor belt (2). The state of deviation of the conveyor belt (2) is detected based on the output signals from the position determining magnets (12, 12z) detected by the magnetic field detection means (13), and then the belt thickness distribution of the conveyor belt (2) in the width direction is corrected based on the detected state of belt deviation.

A method for a monitoring apparatus using a radar and a camera to detect an object. The radar and the camera each have its own detection area and the method is for detecting and correcting the displacement of each detection area by using a single target having dark and bright parts formed in a specified pattern on its surface and placing it in front of the apparatus where the two detection areas overlap. The direction and orientation of the detection area of the radar are measured and corrected and then the detection area of the camera is corrected. The pattern includes an elongated dark part flanked by a pair of bright parts such that quantity of reflected light obtained by scanning the detection surface has a distribution with waveform having two peaks and a valley in between and corrections on the detection areas are made by analyzing their positions.

Provided is an optical fiber distributed type sound wave monitor system. Narrow-linewidth frequency-modulated lasers output by a frequency modulation DFB fiber laser are used as the light source of the optical fiber distributed type sound wave monitor system, the lasers output by the frequency modulation DFB fiber laser enter an acoustic optical modulator and are modulated to be pulse lasers through the acoustic optical modulator, the pulse lasers pass through a first optical amplifier and a first optical filter and then enter a second circulator and sensor fibers, the pulse lasers per unit can emit rayleigh scattering light within the range of the passed sensor fibers per unit length, and signals output by the second circulator pass through a second optical amplifier to enter a second optical filter and output backscattering rayleigh signals. The backscattering rayleigh signals between different unit lengths on one sensor fiber are interfered with the method of an interferometer, the interfered signals pass through electrical signals output by a second photoelectric detector and enter the optical fiber distributed type sound wave monitor demodulation system though a phase carrier demodulation module, and the change analysis of the phases of the sensor signals at corresponding positions is achieved.

The invention relates to the field of geodetic survey based on remote sensing images, in particular to a method for monitoring roadbed subsidence of express way by an InSAR, which comprises the following steps of: firstly, preprocessing, rectifying and interfering SAR data to obtain an InSAR interfered phase and amplitude image; secondly, carrying out flat earth effect, orographic effect and track residual trend phase elimination on the InSAR interfered phase to obtain a phase value only including surface deformation information; thirdly, recognizing positions and coordinates of strips of the express way in the SAR image by strip characteristics of the express way in the InSAR amplitude image; fourthly, extracting the phase value of the corresponding position in the interfered phase image by using the coordinates, and restoring a real phase value by adopting a filtering and unwrapping algorithm of a strip characteristic target; and fifthly, carrying out geocoding and deformation value transformation on the real phase value to obtain a roadbed subsidence value of the express way. The method has the advantages of simple implementation, low expense, high monitoring precision, large monitoring range, high automation degree and the like.

The invention discloses a composite machine tool digital twinning monitoring system, which relates to the technical field of digital twinning. The composite machine tool digital twinning monitoring system creates a digital twinning monitoring system through using a machine tool information module, realizes multi-platform, multi-data and multi-interface communication based on an OPCUA transmissioninterface, and constructs a man-machine interaction module; a multi-field data acquisition module acquires multi-source heterogeneous data in real time by adopting different types of sensors, processes the acquired data based on an information fusion technology to form twin data, and forwards the twin data to a modeling calculation module; the modeling calculation module is used for forming a digital twinning body of a compound machine tool through driving of the twin data in combination with rules such as constraint, prediction and decision; and a personalized decision module monitors and manages entity machine tool equipment in real time by reconstructing and optimizing a machine tool monitoring twinning model in real time. According to the composite machine tool digital twinning monitoring system, the monitoring process of the operation of the compound machine tool is simplified, the monitoring precision of the machine tool system is improved, and the active predictive maintenance of the operation of the compound machine tool is realized.

A mining area surface subsidence synthetic aperture radar interferometry monitoring and calculating method belongs to mining area surface subsidence monitoring and calculating method. The method comprises the following steps: having format conversion, calibration, pre-filtering and interference to interferometric synthetic aperture radar (InSAR) data to obtain an InSAR interference phase, eliminating flat ground effect, an terrain phase and orbit errors of the interference phase by means of precise orbit data and an external dynamic effect model (DEM), obtaining phase values which only contain deformation information of a ground surface after filtering to residual phases, on the condition of large deformation gradient, through phase unwrapping, obtaining deflection of the edge of a mining subsidence basin, fusing the deflection with a few ground measured data, reversely deducing probability integral method parameters of the subsidence basin through a genetic algorithm, calculating sinking values of an arbitrary point of the whole surface subsidence basin through required probability integral method parameters and geological mining data, and therefore mining subsidence deformation field is produced. The mining area surface subsidence synthetic aperture radar interferometry monitoring and calculating method has the advantages of being high in monitoring accuracy, large in monitoring range, convenient to operate, low in cost and large in technical content.

The invention provides an automatic inspection type layered settlement instrument. A conduit connection ring is arranged out of a conduit joint, and a conduit sealing head is mounted at the bottom end of a conduit; a settlement ring is arranged out of the conduit, a magnet ring is mounted in the settlement ring, and folding and unfolding anchoring iron sheets are installed out of the settlement ring; the upper end of the conduit is provided with a measuring box, a magnetic induction measuring probe is mounted in the conduit and is connected with a fine cable, the upper end of the fine cable is connected with an electric settlement amount measuring apparatus which is connected with a measurement and control and wireless transmission apparatus, and the measurement and control and wireless transmission apparatus is connected with a radio transmit-receive antenna and further connected with a hand-held monitoring apparatus located out of the measuring box through a signal cable. The automatic inspection type layered settlement instrument is used for long-term monitoring of layered settlement of a soft soil foundation on the land and has the advantages of easy and convenient installation, low cost, high monitoring precision and sensitivity and capacity of automatically monitoring settlement amount of each soil layer to be measured; automatic unmanned monitoring and data acquisition are realized because of automatic wireless transmission of monitoring data to a remote receiver, and the hand-held monitoring apparatus can also be used on site for reception of the monitoring data and real time detection.

The invention discloses a mobile ECG (electrocardiogram) monitoring system and monitoring method. ECG signals are collected; in addition, IR-UWB (impulse radio-ultra wide band) radar signals are collected; after the collected ECG signals and the IR-UWB radar signals are synchronized and processed, a cascade connection CNN (convolutional neural network) is used for feature extraction, integration analysis and diagnosis classification to obtain monitoring results to be output. According to the embodiment of the invention, the IR-UWB radar signals are introduced to be used as the supplement of the monitored ECG signals during the monitoring; through the synchronization on the two signals, the correlation between the two signals is obtained; the monitoring accuracy is improved. The cascade connection CNN with high applicability and stable performance is used for feature extraction, integration analysis and diagnosis classification; the system performance stability is effectively ensured.

The invention discloses a method for monitoring farmland drought, which comprises obtaining soil or leaf water content of an observing point which is arranged on monitoring ground surface, building a functional relation between soil or leaf water content of the observing point and a corresponding index of characterized farmland drought condition, taking remote sensing data into the functional relation, and obtaining the soil or leaf water content of the monitoring ground surface, wherein the corresponding index of characterized ground surface drought condition is defined according to following methods: Firstly, the farmland ground surface whose vegetation coverage< =15% adopts a vertical drought index, secondly, the farmland ground surface whose vegetation coverage>15% and <= 65% adopts a vegetation conditions albedo drought index, and thirdly, the farmland ground surface whose vegetation coverage>65% to 100% adopts at least one of three following indexes: a short wave infrared vertical water loss index, a vegetation water content index, and a vegetation water deficit index. The ground surface drought monitoring method of the invention is applied for drought testing farmland ground surface with different vegetation coverage degrees.

The present invention discloses a multi-scale forest dynamic change monitoring method. The method comprises carrying out remote sensing image geometric correction and rectification; acquiring a land cover type map with a 1KM resolution ratio by using MODIS time series NDVI data with a 1KM resolution ratio of different seasons within one year; generating a coarse scale land cover changing map by using multiple years of land cover type maps with a 1KM resolution ratio; establishing a coarse scale forest cover change masking file by using a coarse scale land cover changing type map; establishing forest cover characteristic indexes on TM images with a 30 m resolution ratio according to the coarse scale forest cover change masking file; and extracting forest dynamic change information combining the coarse scale land cover changing map and forest characteristic indexes of time series. According to the method provided by the present invention, by using time series remote sensing data with different spatial resolutions, coarse scale land cover to fine scale forest change step-by-step detailed forest dynamic monitoring can be realized in large-area regions, and both monitoring efficiency and monitoring accuracy can be raised.

An intelligent video traffic monitor system based on multi-viewpoint comprises three-layer structure of video group and video cluster as well as video network. Its monitoring method includes dividing traffic area of global road to be three-layer structure of video group and video cluster as well as video network and then carrying out monitor by utilizing said system based on prepared three-layer structure.

The invention discloses a system exception monitoring method and apparatus. The method comprises the steps of firstly, determining an eigenvalue of each dimension generated by a target system; then according to a pre-trained exception judgment model, determining a probability of generating an exception in the target system; and when the probability is in a small probability interval corresponding to the exception judgment model, determining that the exception is generated in the target system. Through the method provided by the invention, the running condition of the target system is determined according to the trained exception judgment model, and corresponding processing can be performed according to the actual running condition of the target system; and compared with the prior art, the false reporting and missing reporting probabilities of target system exception are reduced and the monitoring accuracy and efficiency are improved.

The invention discloses a detection method of an abnormal event of multi-variable water quality parameter time sequence data. The detection method comprises the following steps: firstly, inputting a plurality of water quality parameter models; training and constructing a data driven predication model (BP model); analyzing multi-variable water quality time sequence data in a water supply pipe net and estimating the model; secondly, predicating through the BP model to obtain a predicated value of water quality data; comparing an actually measured value of a current state and the predicated value obtained by the predication model and carrying out error estimation and classification analysis, so as to determine a single-variable parameter abnormal event; classifying based on an error counting result, and updating and determining the event probability of single-variable water quality parameters through sequential Bayesian updating; carrying out multi-variable fusion decision-making and fusing information from a plurality of water quality monitoring indexes; providing a unified decision-making result and determining whether the water supply pipe net has the abnormal event on a specific node or not.

The invention relates to a drilling engineering technology in petroleum engineering, in particular to a method for monitoring the track of an actually drilled wellbore. The method comprises the following steps: acquisition of inclination survey data and naturalization treatment; determination of characteristic parameters of a wellbore track model; determination of a hole inclination equation and an azimuth equation; calculation of coordinate increment; calculation of surveying point coordinates; and so on. As for large-displacement wells containing catenary or parabola tracks and various directional wells and horizontal wells, the method can accurately monitor the coordinates of various surveying points, so as to make the monitoring result accord with the practice of the drilling engineering, thereby effectively improving the construction precision and the reliability of catenary drilling and parabola drilling.

The invention discloses a storage battery surplus energy monitoring method and a monitoring device. The monitoring device comprises the following steps of: constructing a storage battery state space model; utilizing off-line sample data to carry out off-line identification on the state space model of a storage battery, and utilizing a model parameter off-line identification result and on-line sample data to carry out on-line identification on the state space model of the storage battery; constructing a state observer according to a model parameter on-line identification result and a storage battery state space model, and carrying out observation on a storage battery open-circuit voltage; and obtaining the surplus energy of the storage battery according to the corresponding relation of the storage battery open-circuit voltage and the surplus energy of the storage battery. The monitoring method and the monitoring device provided by the invention can carry out monitoring on the surplus energy of the storage battery through a method of the on-line identification model parameter, effectively reduce storage battery time-varying nonlinear characteristic, the influence of measuring errors and noises and the like on a surplus energy monitoring result, improve monitoring accuracy, reduce measuring errors, and strengthen the instantaneity of the monitoring.

The invention discloses a rice yield remote sensing estimation method based on MODIS data, which comprises: 1) acquiring the MODIS09 remote sensing data in the growth process of the rice in the region to be monitored, and calculating an vegetation index EVI and a water index LSWI; 2) extracting a rice pixel based on the relation between the water index LSW1 and the vegetation index EVI; 3) acquiring the vegetation index EVI corresponding to the rice in different stages; 4) calculating the average of the vegetation indexes EVIs of different set administrative regions in different stages to acquire the average EVI of the set administrative regions; 5) establishing a statistical model for the average EVI of the set administrative regions and the rice yield; and 6) estimating the rice yields of the set administrative regions using the vegetation index EVI in the growth period of rice in the year to be estimated, and calculating the rice yield of the region to be monitored. The temporal resolution, the spatial resolution and the estimation precision of the invention are relatively high, and the invention is applicable to monitoring rice yield in a large scale.

Disclosed is a downhole flow measuring while drilling device capable of measuring downhole annular flow, annular pressure and annular temperature and monitoring early overflow while drilling. The measuring device measures downhole annular flow and flow change through an ultrasonic wave sensor mounted at a short section of a drill collar and measures annular pressure and annular temperature through a pressure and temperature sensor mounted inside an annular fluid guiding device, a power source and a circuit board are mounted inside an exploring pipe, physical signals, such as annular flow, pressure and temperature, are converted into electric signals through the sensors, the measuring device records, stores and uploads data through the circuit board, and the measuring device is connected with a MWD (measurement while drilling) through an MWD joint to timely upload actually-measured data to the ground. The device is simple in structure, low in manufacturing cost and long in service life, and working conditions such as downhole overflow can be judged in real time by comprehensively analyzing and processing timely-uploaded downhole data and related data on the ground to achieve the objective of early overflow monitoring, so that safety of well control of well drilling is effectively improved.

The invention discloses an intelligent wind turbine generator working condition identification method which is used for identifying working conditions of a wind turbine generator comprising a plurality of subsystems. The method includes the steps of obtaining a plurality of parameters of the wind turbine generator; dividing the parameters into global parameters and local parameters; extracting eigen values of the plurality of parameters; and obtaining an eigen value vector of each parameter according to the eigen value of each parameter; and classifying the eigen value vectors of the plurality of parameters into global working conditions and subsystem working conditions through a first layer self-organizing map neural network and a second layer self-organizing map neural network to obtain a working condition identification result of the wind turbine generator. The plurality of parameters of the wind turbine generator are adopted to analyze the wind turbine generator working conditions, the wind turbine generator working conditions are divided into the plurality of global working conditions and subsystem working conditions, wind turbine generator working condition identification stability can be improved, and monitoring precision for wind turbine generator running is improved.

The invention discloses a radar and video fused large-scale monitoring system and method. The device comprises a central control device and monitoring terminals which are connected with the central control device and respectively arranged at needed monitoring areas; the monitoring terminals comprise a controller, a video monitoring module and a radar monitoring module composed of more than one radar monitor, wherein the video monitoring module and the radar monitoring module are respectively connected with the controller; all radar monitors are arranged at the needed directions where the needed monitoring areas can be completely covered within each corresponding coverage area; when a target radar monitor monitors a target, the controller controls the video monitoring module to adjust an acquisition direction and transmit an acquired target image to the central control device to perform recognition and tracking. The method uses the system to realize large-scale intelligent monitoring. The radar and video fused large-scale monitoring system and method provided by the invention have the advantages that omnidirectional intelligent monitoring of a large-scale area can be realized, the target can be quickly and accurately tracked and recognized and the monitoring precision is high.

The present invention proposes a method, an apparatus and a device for monitoring display fluency of an animation. The method comprises: acquiring a screen refresh time of a data frame according to a screen refresh frequency of a terminal device; acquiring an interface update time for each frame of data within a screen monitoring range; according to the preset fluency test algorithm, carrying out calculation processing on the screen refresh time and the interface update time for each frame of data, and acquiring a test result for each frame of data; and according to the performance indicators corresponding to the fluency test algorithm, analyzing the test result for each frame of data, and determining whether the display fluency of the animation within the screen monitoring range satisfies the test indicators. According to the technical scheme of the present invention, monitoring accuracy and ease of use of the display fluency of the animation are improved, and diversity of monitoring the display fluency of the animation is expanded.

The invention provides a foundation pit engineering three-dimensional monitoring network realization method based on distributed optical fiber sensors, which relates to a scheme of laying optical fiber sensors on an enclosure and support structure, overall deformation and force bearing analysis on the enclosure and support structure and generation of a strain distribution cloud map. Based on the characteristics that the frequency changes of back Brillouin scattering light formed by scattering of optical wave molecules of the optical fibers and incident light are sensitive to strain and temperature and BOTDA sensing advantages and benefiting from the accurate, stable and real-time monitoring advantages of the optical fiber sensors, the optical fibers on the components are arranged to a three-dimensional monitoring network, comprehensive and three-dimensional deformation and force bearing monitoring can be carried out on enclosure and support components and other components in the foundation pit project, real-time monitored data are guided to surfer to generate a structure strain distribution cloud map, and the method of the invention is a visualized and three-dimensional monitoringmeasurement and control method.

The invention relates to a spatial-distribution-type urban air environment quality mobile monitoring system, which is used for achieving wide-area and spatial stereoscopic environment monitoring in city blocks. The mobile monitoring system includes a plurality of sensor modules, a plurality of wireless data communication modules and a cloud server, which are successively communicated with each other. Each sensor module includes a ground high-frequency environment monitoring instrument and an air mobile sensor, wherein the ground high-frequency environment monitoring instrument is mounted on a ground vehicle and the air mobile sensor is mounted on an aero-vehicle. The monitoring system, compared with the prior art, achieves interval distributed stereoscopic monitoring in city, allows dynamic verification, is high in precision, and has advantages on construction of large database of environment data.

The invention discloses a filing layered sedimentation monitoring device and method. The monitoring device comprises a bottom sedimentation monitoring unit, a middle sedimentation monitoring unit and a ground surface sedimentation monitoring unit which are buried in a soil layer to be monitored from bottom to top and are vertically arranged. Burying holes are formed in the soil layer to be monitored. An anchoring head is arranged under the bottom sedimentation monitoring unit. The bottom sedimentation monitoring unit, the middle sedimentation monitoring unit and the ground surface sedimentation monitoring unit are all provided with inclinometer pipes, extensible pipes arranged on the outer sides of the inclinometer pipes in a sleeving mode and displacement sensors installed on the upper portions of the inner sides of the inclinometer pipes. The monitoring method comprises the steps that firstly, drilling of the burying holes is conducted; secondly, the bottom sedimentation monitoring unit is installed; thirdly, the middle sedimentation monitoring unit is installed; fourthly, the ground surface sedimentation monitoring unit is installed; and fifthly, layered sedimentation monitoring is conducted. The filing layered sedimentation monitoring device and method are reasonable in design, convenient and easy to operate, convenient to bury, high in measuring precision and capable of effectively solving the problems that existing layered sedimentation monitoring equipment is large in equipment burying workload and low in measuring precision.