482results about How to "Wide range of monitoring" patented technology

The invention discloses a highway operation safety-based mobile monitoring and early warning system and method. The system comprises a data acquisition unit, a data storage unit, a data processing unit, an electronic display screen and a wireless communication module, wherein the data acquisition unit, the data storage unit, the electronic display screen and the wireless communication module are all connected with the data processing unit; the system is arranged on a vehicle; and an accumulator is adopted to provide power. The method specifically comprises the following steps of: constructing a basic database; acquiring dynamic data by the data acquisition unit in real time; comparing real-time road condition parameters with safe road condition parameters by the data processing unit to generate early warning information; and transmitting the real-time road condition parameters and the early warning information to a monitoring center by the wireless communication module. According to the system and the method, the defects of the conventional fixed monitoring system and patrol vehicle can be made up, real-time detection and analysis of the highway road condition parameters are effectively improved, and the highway operation safety level and the emergency management capacity are improved.

The embodiment of the invention provides a method and system for monitoring service quality. By mapping and converting the collected service performance KPI (Key Performance Indicator) into a service quality KQI (Key Quality Indicator) and a CEI (Client Experience Indicator),services utilized by the user can be systemized and applied to achieve analysis of entire network and full service, further to rapidly and accurately reflect the actual experience perception of using the services by the user. A method and system for analyzing service quality problems, provided by the embodiment of the invention, can be used for comparing the KQI with a preset threshold value through monitoring the service quality KQI; if the decrease of the service quality KQI is found, the decreased KQI is found and mapped to the KPI , and then the problems are located by analyzing the KPI; and an optimized solution is finally given to the problem in the analysis report form by combining with a knowledge base.

The invention relates to a direct power-spectral method-based all-weather long drainage basin water quality monitoring and early-warning system, belonging to the technical field of water quality monitoring. The system comprises a plurality of water quality monitoring devices, a cloud data processing platform and a remote monitoring platform; the water quality monitoring devices are placed at a shoreside of a water body, a water surface buoy or other water surface platforms according to needs, used for extracting water quality data of the long drainage basin, use a direct power-spectral method to acquire an absorption spectrum of a monitored water body and sends the monitored data and water quality information to the cloud data processing platform in a wireless transmission manner; the cloud data processing platform summarizes and analyzes the received data and stores into a database; the remote monitoring platform inquires and displays the data stored in the database and realizes the real-time monitoring and early-warning for an all-weather long drainage basin water quality environment. The system can realize the online measuring, real-time monitoring, emergent early-warning, drainage basin analyzing and water environment monitoring of all weathers of the water body in the drainage basin, thus reducing the loss caused by pollution to the water body and ensuring drinking water safety.

The invention discloses a method and a device for preventing the unauthorized use of a fiscal card; after a user stamps a card on the card punching terminal of a financial system, the value of the distance between an intelligent mobile terminal device of the fiscal card owner and the current card punching terminal is obtained. The value of the distance can be determined through the positioning information about the intelligent mobile terminal device and information about the position of the current card punching terminal provided by a bank. The obtained distance value is then compared with a predefined distance value; if the value of the distance between the intelligent mobile terminal device and the current card punching terminal is smaller than the predefined distance value, then the financial system automatically performs a remit account, and the consumption transaction is succeeded; if the value of the distance between the intelligent mobile terminal device and the current card punching terminal is larger than the predefined distance value, then the issuing bank takes further measures after taking the advice from the fiscal card owner. The scheme of the invention further enhances the safety of using the fiscal card.

A method of monitoring the evolution of polymer and / or colloid stimuli responsiveness during synthesis of polymers and / or colloids, including postpolymerization modifications on natural and synthetic polymers, includes providing a reactor in which the polymers and / or colloids are synthesized; and providing a means of monitoring the stimuli responsiveness of the polymers and / or colloids during said synthesis. Preferably, the method also includes monitoring the evolution of the characteristics of the polymers and / or colloids during said synthesis. Preferably, evolution of polymer and / or colloid stimuli responsiveness is correlated to the evolution of the properties of the polymers and / or colloids themselves. Also, preferably the conditions of the fluid in the reactor in which the synthesis occurs is determined. The determination can be by detection, choice of materials and temperature conditions, for example, and combinations thereof. The method and instrumentation disclosed can lead to optimization and control of processes and synthetic and modification strategies leading to polymers and colloids with desired stimuli responsiveness.

The present invention relates to a forest fireproofing early warning system which is composed of a wireless internet server, a monitoring system, at least two fireproofing detector and at least one wireless transmission base station. The present invention is characterized in that a wireless fire alarm detection and fire alarm information transmission net is formed by at least two fireproofing detectors; the wireless transmission base station is in the wireless fire alarm detection and fire alarm information transmission net; each fireproofing detector is used for detecting fire hazards to generate early warning signals, and short-distance wireless early warning signals are transmitted between adjacent two fireproofing detectors to the wireless transmission base station directly; the wireless transmission base station and the wireless internet server are communicated wirelessly; and the wireless internet server is connected with the internet of the monitoring system. The present invention has the advantages of convenient construction and arrangement, wide monitoring range, without communication cables and safe use, and can timely monitor the fire hazards and judge the pervasive conditions of the fire hazards.

An object tracking method and an object tracking apparatus for tracking an object in an image based on an image signal obtained from an image pickup device. At least one of the feature amounts including the position, size and the moving distance of the object in the image is detected, and based on the detection result, the image pickup lens of the image pickup device is controlled thereby to track the object. At the same time, the range of a partial area of the image is set based on the detection result, and the image of the partial area thus set is enlarged to a predetermined size and displayed on a monitor.

The invention discloses a comprehensive application method for integrating forest fire danger forecasting and ground fire point monitoring. The comprehensive application method for integrating the forest fire danger forecasting and the ground fire point monitoring comprises the steps that a forest fire danger class forecasting model is established; forest fire weather indexes are obtained by calculating; the forest fire weather index are divided to obtain forest fire danger classes; a satellite receiving system is adopted to receive polar orbit satellite data and pre-processes the polar orbit satellite data; on the basis of an MODIS fire disaster algorithm, a multiband brightness temperature value and a multiband reflectance value of the MODIS data are used for identifying an image; on the basis of a GIS technique, a forest fire danger class forecasting result and a ground fire point monitoring result are superimposed on an electrified wire netting output line and device and display a range of influence of a fire scene which can be intuitive analyzed. The comprehensive application method for integrating forest fire danger forecasting and ground fire point monitoring combines the forest fire danger class forecasting result and the ground fire point monitoring result with the electrified wire netting output line and device, the disposition efficiency of a forest fire accident is improved, and the monitoring range is wide.

A stereo vehicle-exterior monitoring apparatus includes a stereo camera including a pair of infrared cameras and floodlight lamp and infrared lights. The Infrared lights light up a more distant place than that is lighted up by the floodlight lamp, or light up a closer place and wider angle of lighting than that is lighted up by the floodlight lamp so as to obtain a wider monitored area than that with the lighting by the floodlight lamp. The stereo camera shoots at least lighting ranges of the infrared lights for obtaining a distance data of subject present in the surrounding of the vehicle.

The invention discloses a water quality monitoring method and a water quality monitoring device based on an adaptive model. The method comprises the steps of obtaining remote-sensing reflectivity data to be processed, setting a characteristic threshold value to extract a water body area as a collecting and study area; obtaining water quality data of the collecting and study area, conducting least squares correlation analysis on different wave bands or band combinations, comparing correlation coefficients to obtain the most sensitive wave band or band combinations, and establishing an adaptive water quality monitoring model based on the most sensitive wave band or band combinations. According to the water quality monitoring method and the water quality monitoring device based on the adaptive model, the problems that an existing water quality monitoring model is lack of automaticity, systematicness and universality are solved.

The invention relates to a data quality monitoring method based on full service indicator rule allocation. For KPI, OLAP, report forms, and KPI indicators in a first class management analysis system, through indicator definition, database definition, check rule definition and scheduling mode definition, monitoring acquisition point allocation, check mode allocation and scheduling mode allocation of all data indicators in a telemarketing analysis system are given to form a complete indicator verification, thereby executing set indicator check within set time and obtaining the result whether according with the check rule or not. The invention decomposes a complex system into a plurality of elements with different characteristics to form a complete indicator check event, can flexibly complete the prospective indicator check task, and can immediately carry out the manual intervention through an early warning mode if the check is not qualified.

The invention discloses a device for preventing myopia and cervical spondylosis, which comprises a data acquisition module (1), a main control module (2), a warning module (3) and a power module (4), wherein the data acquisition module (1) is connected with the main control module (2); the main control module (2) is connected with the warning module (3); the power module (4) is used for supplying power and managing charging for the device; each module receives and sends data or instructions through a data bus; and the main control module (2) determines the using state of a user by processing the data acquired by the acquisition module and the dependence and training data of a posture and motion decision tree algorithm. The device determines whether to give a warning or not by performing logic operation on different configurable standard data and the acquired data in different using states. The device not only can judge the using state of the user, but also adjusts the standard parameter for warning according to different using state of the user, so that the false warning rate is low; and in addition, the device can further realize different functions according to the choice of the user so as to be wide in application range.

The monitoring system is composed of computer, base station and online monitoring nodes, which are interlinked through wireless send receive interface under controlled coordination of each program. The interlinking routes among them are built through route finding of node interaction so as to form self-organization network in real time. Each node can work alone independently or each node works in combination with each other based on self-organization network to realize monitoring on large area. The invention can monitor water quality, temperature and ocean wave in water area of ocean to serve ocean engineering, oil gas operation, to monitor pollution of ocean as well as to serve marine culture etc.

The invention relates to a method for monitoring river runoff through a remote-sensing hydrologic station. The method comprises the steps of 1, selecting key fluvial sections lacking measuring stationareas; 2, conducting low-altitude remote sensing retrieval on the information of the fluvial sections lacking the measuring station areas; conducting real-time drone control flight on monitoring points of the fluvial sections selected in step 1, preprocessing the obtained data, extracting earth surface information, obtaining the longitudinal section gradient, the cross section area and the watersurface width of the fluvial sections on this basis, combining ground water level monitoring and underwater topographic surveying and mapping, and utilizing a manning formula for deduction to solve the flow of the monitored section. The method has the advantages that satellite remote sensing and low-altitude remote sensing are coupled, each other's advantages are complemented, and the blank of thelack of hydrologic data is filled up; during emergency management, the real-time river channel segment width is obtained, the river runoff is calculated, the river runoff data is reported in real time, and the runoff monitoring precision is smaller than 8%; the problem that hydrometric stations of an arid region are scarce, and cannot handle flood, water pollution and other emergency events is solved.

The invention discloses a heterogeneous network-based remote monitoring system for a wind and light supplementary power station. The system comprises a field monitoring network unit, a heterogeneous network communication conversion interface unit, a wireless communication network unit, a wireless gateway unit and a remote access and control unit; and the five units are sequentially connected. The system consists of a wired monitoring network and a wireless monitoring network together, field real-time monitoring requirements of the wind and light supplementary power station and power supply equipment thereof can be met, and the monitoring data of each power station can be conveniently transceived, gathered and remotely transmitted; and the system has the advantages of high instantaneity, strong reliability, low construction and operational costs, wide monitoring range and strong expandability.

The invention relates to the field of ecological environment monitoring, and discloses a vegetation classification method based on a machine learning algorithm and multi-source remote sensing data fusion, which is used for efficiently realizing identification and classification of vegetation types in a target area. The method comprises the following steps: acquiring a low-altitude remote sensing image of terrestrial plants in a sample area by using an unmanned aerial vehicle, and acquiring a digital orthoimage and a digital surface model of the sample area based on the low-altitude remote sensing image; extracting elevation information of the digital surface model; acquiring an SAR image of a sample region corresponding to the aerial photography time of the unmanned aerial vehicle by utilizing satellite remote sensing; carrying out wave band and image fusion on the digital orthoimage, the elevation information and the SAR image; performing inversion model training and inversion model precision evaluation on the fused image through sample area actual measurement data and a machine learning algorithm to obtain an inversion model meeting requirements; and finally, classifying terrestrial plants in the target area based on the inversion model. The method is suitable for terrestrial plant ecological environment monitoring.

The invention relates to a device used to monitor bolt fracture or looseness. The device comprises a housing in a cylindrical shape. The lower part of the housing is made of an insulating material. The housing is internally provided with a cavity which is provided with an opening on the lower end, and the device also comprises a monitoring circuit. The monitoring circuit comprises a power supply, a switch assembly, a resistor connected with the anode of a power supply, and an output end connected with the resistor. The connecting point of the resistor and the output end is connected with one end of the switch assembly. The other end of the switch assembly is connected with ground. The switch assembly comprises a monitoring plate arranged on the head of a locknut or a bolt, and a trigger structure fixed in the cavity. A plurality of series-connected normally-closed switches or a plurality of parallel-connected normally-open switches are formed between the monitoring plate and the trigger structure. The device is simple in structure, convenient in installation, low in cost, wide in monitoring range, high in monitoring precision, and low in power consumption of the monitoring circuit, and sensitive in response. Using the device, manual polling is not needed, and output signals are monitored after the device is installed, thereby greatly improving working efficiency, and saving manpower and material resources.

The invention discloses a geologic hazard emergency monitoring forecast system and a method for analyzing the forecast of the system. Disposable radar responders move together with landslide or debris flow, flood and the like on ground surface by irregularly launching the disposal radar responders in a geologic hazard region which is formed or is forecasted to be formed. Through technology of radar scanning, running tracks of the radar responders can be monitored and compared intuitively and quickly; the place and the time formed by the hazard can be further analyzed and determined combining with status of topography and landform; and basic causes and important information, such as a territorial scope which is about to be affected by the hazard, forecasted imminent time slice and safe escape route, and the like, can be acquired assorted with rainfall, earthquake and other information. The system and the method have a standard product structure and low cost, and have incomparable advantages on the forecast of geologic hazard which has clear cause, certain predictability, large scale and short-terming burst under quick response.

The invention discloses an early warning device for biomass with comprehensive toxicity in water, which comprises a water distribution area, a detection area and a control area. The water distribution area consists of a sampling tank, a clear water tank, a three-way valve, a clear water valve, a sample feeding pump, a clear water pump, a culture solution and concentrated solution storage tank, trace elements, a vitamin concentrated solution storage tank, a pH (potential of hydrogen) buffer solution storage tank, a mixing and deoxidizing tank, a magnetic stirrer, a liquid adding control valve and an emergency water sample draining pipeline; the detection area consists of a microbial fuel cell detecting unit, a sample feeding and water distributing valve, a water distributing tube, a cleaning control valve, a microbial fuel cell water discharge pipe, a depositing tank, a microorganism backwash pump, a drain pipeline and a microorganism removing pipeline; and the control area comprises a monitoring control and warning system and a display screen. By the aid of the early warning device, online monitoring and early warning for comprehensive toxicity of the water can be realized, and the early warning device has the advantages of long service life, high interference resistance and sensitivity, wide monitoring range, simplicity in daily management, low running expense and the like, and is applicable to monitoring emergency toxicity of water in conventional and emergency modes.

The invention provides a method for testing producing profiles of a horizontal well through a coiled tubing optical fiber technology. The method comprises the following steps of type selection of coiled tubings and optical fibers, mounting of the optical fibers penetrating through the coiled tubings, testing operation, mounting and pressure testing operation of the continuous oil pipes, debuggingand rectifying of a data collecting system, putting down of the continuous oil pipes to target positions, determining of testing schemes and relevant parameters, testing of the optical fiber producingprofiles and collecting of data, extracting, dividing, fitting, rectifying and treatment of the data, and analyzing and explaining of the data. According to the method provided by the invention, no logging instrument is arranged, the continuous oil pipes are applied to put down the testing optical fibers to target layers, real-time monitoring of a whole shaft for 24 h is achieved accordingly, theproducing profiles of all tested well sections of the horizontal well and the producing contribution of all the producing layers are obtained, the well diameter limitation of putting down of producing oil pipes or large-drift-diameter bridge plugs in the well shaft can be overcome, or the problem of large construction difficulty of testing of the producing profiles of the large-slope horizontal well is solved.

The invention discloses a crop growth situation monitoring Internet of Things system based on visual inspection. The crop growth situation monitoring Internet of Things system comprises a plant height monitoring subsystem, a lodging monitoring subsystem and a leaf area index monitoring subsystem. The plant height monitoring subsystem is used for obtaining the relative distance between a crop and a height reference mark by setting the preset height reference mark and then obtaining the actual height of the crop according to the mapping relationship between the relative height and the actual crop height. The lodging monitoring subsystem is used for carrying out ashing processing, Gaussian Blur processing and binarization processing on an original image in sequence and then calculating a lodging image and further calculating the lodging rate according to the result of binarization processing. The improvement on precision and efficiency is facilitated through an automatic image analysis manner. The leaf area index monitoring subsystem is used for calculating the comprehensive coverage degree in combination with the green coverage degree of multiple images after the green coverage degree is obtained and calculating the leaf area index according to the comprehensive coverage degree and the plant height.

The invention discloses a device and method for monitoring pile body strain of a round solid pile. The device comprises the round solid pile, a single-mode sensor fiber, a Brillouin time domain analysis meter, glue and epoxy resin, the single-mode sensor fiber is fixed on the surface of the round solid pile through the glue and coated with the epoxy resin, and the Brillouin time domain analysis meter is respectively connected with the two ends of the single-mode sensor fiber. The method includes the steps of enabling the Brillouin time domain analysis meter to be connected to the two ends of the single-mode sensor fiber to form a measurement circuit; collecting initial data of the single-mode sensor fiber; collecting real-time data of the single-mode sensor fiber after the pile body of the round solid pile bears external loads; obtaining a difference of the real-time data and the initial data, wherein the difference is a pile body strain value under the pressure effect; further calculating a deformation value and the stress of the round solid pile according to the pile body strain value of the round solid pile. According to the method, the shortcoming that a traditional strain gage is hard in installation method and not high in rate of survival is overcome, and the distributed continuity monitoring on the pile body strain of the round solid pile is achieved.

The invention discloses an underwater fry, young shrimp and young crab quantity estimating and behavior monitoring device and method based on computer vision. The device is characterized in that the device comprises a two-way winch, a motor, a floater and a video collecting device, wherein the two-way winch and the motor are used for driving the video collecting device to carry out all-dimensional and different-water-level sampling in a nursery pond, the floater is used for bearing the motor, and the video collecting device is used for collecting young videos of fry, young shrimps and young crabs. The method comprises the following steps that the video collecting device is arranged in water and is respectively driven by the two-way winch and the motor to collect the videos of the fry, the young shrimps and the young crabs in the nursery pond, and the quantity and the density of the fry, the young shrimps and the young crabs in the whole nursery pond are estimated by using an image processing technology according to collected fry, young shrimp and young crab images of different water levels and different dimensions; a light inducing light source is turned on, and the shot videos are used in the image processing technology to calculate the swimming speed of targets and a cluster center coordinate to reflect the moving capability and light inducing capability of the fry, the young shrimps and the young crabs. The underwater fry, young shrimp and young crab quantity estimating and behavior monitoring device has the advantages of being simple in structure, wide in monitoring range, convenient to use and high in accuracy, and is suitable for biological quantity estimation and behavior monitoring on the nursing state of automated aquaculture.

The invention discloses a passenger abnormal behavior recognition method based on human body posture estimation. The passenger abnormal behavior recognition method based on the human body posture estimation includes the steps of: (1) conducting image acquisition through a monitoring system; (2) dividing a pedestrian passage into multiple areas through the monitoring system; (3) conducting postureestimation of pedestrians according to the acquired image via the monitoring system and acquiring pedestrian postures through the extracting of skeleton information of the pedestrians; (4) via the monitoring system, conducting multi-target tracking of multi-frame images in a corresponding area according to the skeleton information of the pedestrians and conducting behavioral judgment according tomovement trajectories of the pedestrians; (5) the monitoring system issuing an alarm when the pedestrians are judged to be travelling in an abnormal traffic condition based on a normal traffic condition and abnormal traffic condition which are preset according to the different postures and different trajectories of the pedestrians. The passenger abnormal behavior recognition method based on the human body posture estimation has such advantages as accurately issuing an alarm in the case of an abnormal behavior existing in a person being inspected, monitoring and judging quickly, and having widerange of monitoring.

The invention discloses an overlapped-vision-field multi-camera cooperative target positioning and tracking system. Pixel points in a side length range of the upper side of a rectangular frame of a foreground area are sampled, and combined with geometric constraint of multiple cameras to acquire target candidate foot points, meanwhile, peaks of the lower side of the rectangular frame for expressing pedestrians not in a shielded view angle between the targets are projected, and a center of gravity of each projection point is computed, and at last, the candidate points are weighted, and the position of the target is positioned by using the centers of gravity and the weighted candidate foot points. Compared with target tracking by using the single camera, the system using the multiple camerashas the advantages of wide monitoring range and many observation view angles, can acquire a robust tracking effect by using multi-camera environment constraint and multiple foreground information, and well solves the shielding problem appearing in a tracking process; therefore, even the target is in the shielded view angle, the target can still be positioned and tracked highly accurately, and good market application value is provided.

The invention discloses a house risk assessment method based on the PS-InSAR technology in the technical field of interferometric synthetic aperture radar. The method includes the following steps: obtaining PS points on the surface of a house by using N SAR image data based on the permanent scatterer-interferometric synthetic aperture radar technology; clustering the PS points in a single house according to the historical settlement information and spatial distribution of the PS points, wherein the clustered points can well represent the settlement condition of the small area; for the clustered points in the single house, calculating the inclination rate between the point pairs, carrying out comparison to obtain the maximum inclination, and obtaining an inclination history curve as the evaluation basis for the hazard level of the house; and in the time dimension, decomposing an inclination timing curve into two main components by means of a signal processing method: regular periodic deformation and piecewise linear deformation; and after removing periodic components, analyzing the speed change of each identified time partition to detect abnormal speed and acceleration, and evaluating the stability of the house by integrating the house type, maximum cumulative settlement and inclination rate.

The invention discloses an electronic fence integrated control system which comprises an electronic fence defense area, a central control unit, a monitoring unit and an alarm unit. The electronic fence defense area comprises a plurality of peripheral electronic fence groups, each peripheral electronic fence group comprises a pulse host, an acoustic-optical lamp and a peripheral electronic fence, the central control unit comprises a central controller, a central control host and an analog electronic map module, and the monitoring unit comprises a monitoring host, a camera and a positioning device. An electronic fence integrated monitoring method includes the steps: setting high-voltage and low-voltage peak values of the electronic fences; setting high-voltage protection time; setting a fence lead tension threshold value; starting infrared correlation monitoring. A plurality of central control hosts can be interconnected, and the electronic fence integrated control system is intelligent in control, perfect in alarm mechanism, high in safety and particularly suitable for complex areas with multiple preventive points and multistage management.