51results about How to "Enable continuous monitoring" patented technology

The invention provides an electric power operation intelligent safety supervision system and a supervision method thereof. The system comprises a personal intelligent terminal, a communication systemand a background monitoring center. The personal intelligent terminal comprises a video acquisition module, a GPS positioning module, a power supply management module, a display interaction module, acharacter recognition module, a violation recognition module and a sound-light alarm module, all the modules are electrically connected with the central processing unit, information acquisition and analysis are achieved, and when violation is found, the information is reported to supervise and manage personnel and sound-light alarm is given out. The communication system realizes two-way communication between the personal intelligent terminal and the background monitoring center and comprises video return and control instruction transmission. The communication system is composed of an industrial router and a 4G wireless network card, 4G wireless transmission is adopted, and the personal intelligent terminal transmits data to the background monitoring center through 4G wireless transmission.The background monitoring center calls, archives and manages the operation information.

The invention provides a lower power consumption wireless sensor network node device capable of monitoring vibration continuously, wherein a power supply module, a communication module and a sensor module are connected with a microprocessor. The power supply module is structurally characterized in that the output ends of a solar battery and a lithium battery are connected with three input ends ofa first analogue switch respectively. The output end of the first analogue switch is connected with the power supply interface of the microprocessor. The signal output end of a self-sourced vibrationsensor is respectively connected with the signal input end and the interruption port of the microprocessor through a first operational amplifier and a comparator. The signal output end of an external-sourced acceleration sensor is connected with the other signal input end of the microprocessor through a second operational amplifier and the power supply end of the external-sourced acceleration sensor is controlled by the second analogue switch of the microprocessor and connected with the current power supply output end selected by the node. The device has the advantages of obvious energy-saving effect and can ensure the long-term continuous work of the network node of the wireless sensor.

The invention relates to a flight path planning method for coordinated detection and obstacle avoidance of an unmanned aerial vehicle group. The method includes the following steps: S1. setting an unmanned aerial vehicle group flying area and designating a task monitoring area in the flying area; S2. defining yaw angle independent variables of N unmanned aerial vehicles, and initializing yaw angles, location coordinate information in the flying area, the number of current searching steps k=0, and the cumulative coverage percent=p1 on the task area at the current moment of the N unmanned aerialvehicles; S3. predicting flight path yaw angles and location information of (k+1) steps of the N unmanned aerial vehicles in the flying area, and separately calculating a coverage area and a fitnessfunction value; S4. comparing all possible fitness values, selecting a yaw angle and location information of an optimal fitness value as information of the (k+1)th step, and storing the yaw angle andthe location information in a flight path chart; and S5. enabling k=k+1, judging whether k=1 or percent=1, if yes, ending the planning, and otherwise, continuing S3 to S5. The method of the inventioncan realize the maximum monitoring coverage area, avoid obstacles and a required flight path has no fixed starting point and ending point.

The embodiment of the invention provides a video monitoring method. The problem that the existing video monitoring method is hard to continuously tracking and monitoring a monitored target in moving. The video monitoring method is suitable for a video monitoring system comprising at least one low point camera and at least one high point camera. The method comprises the following steps: recognizing the monitored target in a video image of one high point camera; taking the video image of at least one low point camera covering the monitored target in the monitoring rang according to installation positions of all low point cameras in the monitoring range of the high point camera; and recognizing the monitored target in the video image of the at least one low point camera and continuously tracking the target.

Embodiments of the invention provide a monitoring method, server and system and an image acquisition device. A first distance ratio between three WiFi detectors and horizontal distance of a target person can be obtained. A second distance ratio between the three WiFi detectors and horizontal distance of a WiFi terminal can be obtained according to signal intensity of WiFi signals. By matching the second distance ratio of each WiFi terminal with the first distance ratio, the MAC address of the WiFi terminal of the target person is determined, and the target person is monitored according to the MAC address. Therefore, continuous monitoring of the target person is realized.

The invention discloses a wireless spectrum interference monitoring system and method for a low-frequency time code monitoring system, and the system comprises an antenna module which is used for carrying out the omnidirectional receiving of an electromagnetic interference signal in a surrounding environment of the low-frequency time code monitoring system for a preset monitoring frequency band; afrequency spectrum acquisition module which is used for amplifying the signal received by the antenna module, sampling the signal, and filtering to obtain the power and frequency point of each signalin a preset monitoring frequency band; a data analysis module which is used for inputting the signal power acquired by the frequency spectrum acquisition module to realize power value statistics of interference signals and research and judgment of the interference signals; and a support module which is used for providing power supply and rack support for the wireless spectrum interference monitoring system. By setting the relative reference value and the statistical signal change trend, wireless spectrum interference monitoring in a low frequency band can be realized.

An electric transmission line monitor system based on a broadband wireless Mesh comprises wireless Mesh base stations mounted on an electric transmission line pole tower, and a plurality of the wireless Mesh base stations are arranged, and arranged to construct and form a single-loop chain network. The wireless Mesh base stations comprise wireless Mesh routing units, standby control devices and communication control devices, the standby control devices are in communication connection with the wireless Mesh routing units, and the communication devices are in communication connection with the standby control devices. Therefore, when no data transmission exists in the wireless Mesh base stations, the standby control devices control the wireless Mesh base stations to be in a standby state, power consumption is greatly reduced, a power supply device can keep enough electricity for long-time power supply, the situation that the power supply device breaks down and cannot supply power continuously under snowstorms, earthquakes and other server environments is avoided so that energy can be used for working well, an electric transmission line can be monitored continuously, and the stability and the reliability of electric transmission line monitor are improved.

The embodiment of the invention provides a video monitoring system. The problem that the existing video monitoring system is hard to continuously tracking and monitoring a monitored target in moving. The video monitoring system comprises at least one high point camera, at least one low point camera and a background control device; the at least one high point camera and the at least one low point camera are respectively connected with the background control device, wherein the background control device is used for recording installation positions of all low point cameras in a monitoring range of each high point camera; the background control device is used for controlling the monitoring process of at least one high point camera and / or at least one low point camera.

The invention relates to a landslide deep displacement real-time monitoring system based on stay wire posture interpreting to solve problems existing in the prior monitoring art.A monitoring hole is used as a measuring line, deformation of rock and soil mass in the monitoring hole is transmitted to the stay wire through annular node terminals distributed in an array mode, and at the moment, the two ends of the stay wire penetrating through the node terminals deflect with a fixed pulley at the node terminals as the center; inductors at the two ends of the node terminals will capture changes of the stay wire posture and transmit the information to the stay wire through an electric brush pulley, and the change of the stay wire posture is transmitted to an earth surface monitoring control terminal through the stay wire; all the node terminals are connected through a data transmission technology, the positions, in the measuring line direction, of the node terminals are inverted through signal transmission time difference, displacement perpendicular to the measuring line direction is inverted through posture information of the stay wire, and therefore displacement of the rock and soil mass on the measuring line is monitored.

The invention provides intelligent-monitoring ring-type wearable equipment. The intelligent-monitoring ring-type wearable equipment comprises an intelligent terminal and a ring, wherein the internal wall, facing to finger skin, of the ring is provided with a near-infrared light source, a photoelectric conversion module, a miniature spectrograph, a microprocessor, an APP data conversion module and a first wireless signal transceiving module as well as a power supplying module, the APP data conversion module and a wireless signal transmitting module, and the intelligent terminal is provided with a second wireless signal transceiving module, an APP data analysis module and an APP health database. According to the intelligent-monitoring ring-type wearable equipment, detection equipment matched with a dynamic spectrum based noninvasive blood component detection technique is arranged in the ring; on one hand, real-time and sustained monitoring on human body monitoring data such as human body hemoglobin, serum cholesterol and blood sugar concentration is realized on the ring; the habit of wearing the ring is to press on a finger, so that the accuracy of detection can be improved; on the other hand, intelligent, noninvasive, real-time and sustained monitoring of human body blood is achieved. Meanwhile, SOS first-aid appeal, body temperature detection and positioning monitoring can also be achieved.

The invention provides a device and a method for detecting a water level of a pressure vessel of a nuclear power plant reactor. The device comprises a core cooling monitoring instrument, a core cooling state identification module and a pressure vessel water level prediction module, wherein the core cooling monitoring instrument is used for acquiring a supercooling degree signal of a cooling agent of a core outlet and a main pump state signal; the core cooling state identification module is used for receiving the supercooling degree signal and identifying a temperature interval in which the supercooling degree signal is positioned; the pressure vessel water level prediction module is used for calculating, according to the main pump state signal and the temperature interval in which the supercooling degree signal is positioned, to obtain the water level of the pressure vessel. The device and the method which are provided by the invention implement continuous monitoring on the water level of the pressure vessel by predicting the water level of the pressure vessel, and provide a means for an operator to correctly judge a deterioration degree of a pressure vessel water device; meanwhile, the invention discloses judgment on a deterioration degree of a fuel cladding temperature according to the water level of the pressure vessel, so that the defect of not directly measuring the fuel cladding temperature is overcome, and the basis is provided for the operator to correctly judge a core cooling state so as to adopt effective mitigation measures.

The invention discloses a method for detecting the concentration and a speed of silver ions released in the nano-silver dissolution process. According to the method, step 10), a nano-silver colloidal solution coated with sodium citrate is centrifuged and redissolved, and existing silver ions in the solution are removed; step 20), the nano-silver colloidal solution without the silver ions is mixed with a Raman labeled molecule solution, and a to-be-detected sample solution is obtained; the volume rate of the nano-silver colloidal solution coated with sodium citrate to the to-be-detected sample solution is 1:10; step 30), the to-be-detected sample solution is taken and put in a closed quartz colorimetric dish, and a microscopy Raman platform is used for Raman testing; step 40), Raman data obtained in the step 30) are subjected to baseline correction, curve fitting and data processing, and the changing curve of the concentration of the silver ions released by silver nanoparticles along with time and the changing curve of the release speed of the silver ions along with time are obtained by the aid of mathematic plotting software. The content of the silver ions released in the dissolution process of nano-silver can be continuously detected with the detection method.

The invention provides an air traffic controller training effect intelligent evaluation method and device. According to the method, an air traffic controller training effect evaluation index set is established for the first time, and the index set is established for the first time in China. A first neural network is established, wherein an input layer of the first neural network comprises N inputnodes and 5 output nodes; each input node is in one-to-one correspondence with each secondary index; each output node is in one-to-one correspondence with each primary index; experiment data of a controller on the analog machine are obtained andthe number of each secondary index corresponding to the experiment data is obtained, the number is taken as an input layer of a first neural network, and scores of five output values corresponding to five primary indexes are calculated by utilizing the first neural network; defuzzification is carried out on the output value by utilizing a fuzzy mathematical method to obtain a score; whether the score is adopted or not is judged, and a scoring result is output if the score is adopted; otherwise, the five first-level indexes are manually scored again,and the first neural network is updated by taking the corresponding experimental data and a re-scored result as a group of training data.

The invention discloses an expansive soil area surface deformation monitoring method based on a time sequence InSAR technology, and relates to the technical field of deformation monitoring. Spaceborne synthetic aperture radar data is used, firstly, an existing digital elevation model error is calculated and corrected by using an SBAS-InSAR (small baseline integrated aperture radar interferometry) technology; after a DEM (digital elevation model) product is iteratively updated, the SBAS-I nSAR technology is adopted to carry out deformation monitoring on an anglerkang airport, the fill expansive soil layer depth distribution in an expansive soil area is obtained according to DEM error information and serves as a deformation auxiliary judgment means, and large-range and high-precision periodic time sequence deformation information of the expansive soil area is obtained. And the used multi-source remote sensing data is simple and fast to obtain, the efficiency is high, and the manpower and material resource cost is extremely low.

The invention relates to a method for determining a working range of an ultrasonic vibrating unit (7), which ultrasonic vibrating unit (7) is supplied with electrical power by a generator (2) via an output (2a) and is excited to vibrate ultrasonically, wherein at least constituent parts of the ultrasonic vibrating unit (7), preferably an ultrasonic converter (8) contained therein, and constituent parts of the generator (2), preferably a matching network (2b) on the output side, form a tuned circuit (2c, 2d). Said method is characterized in that a measuring circuit (3) is connected upstream of the output (2a) of the generator (2), via the measuring circuit (3), a voltage (U) is applied to the tuned circuit, by means of the measuring circuit (3), at least the phase, preferably magnitude and phase, of an impedance of the tuned circuit are measured, and at least the phase, preferably the phase and magnitude, of the impedance are evaluated in order to determine the working range. The invention further relates to a circuit arrangement for carrying out the aforementioned method.

The invention provides a terminal device and an information processing method and system. The terminal device is installed on a target automobile and comprises a speed detection device, a GPS device, a processor and an information sending device. The speed detection device is used for detecting a travel speed of a target automobile in a target time period and sending the travel speed to the processor. The GPS device is used for detecting corresponding geographical position information of the target automobile in the target time period and sending the geographical position information to the processor. The processor is used for establishing travel information corresponding to the target time period according to the received travel speed and geographical position information. The information sending device is used for sending the established travel information and identifier information of the target automobile to a monitoring and managing center. The monitoring and managing center judges whether the target automobile has an illegal travel according to the received travel information. According to the invention, the continuous monitoring on the travel situation of the automobile is realized.

The invention discloses a haze-auto-adaptive expressway traveling speed early-warning device and method. The device comprises a CCD camera module, a microprocessor, an output module and a power supply; the CCD camera module is used for shooting scenery in front of a traveling vehicle and sending shot image information to the microprocessor; the microprocessor is used for processing the image information from the CCD camera module to determine a visible observation distance under real-time road conditions and determine safe traveling speed limit data according to the visible observation distance; meanwhile, the speed limit data is sent to the output module; the output module sends out the safe traveling speed limit data to let a driver know; the power supply is connected with all the components to supply working voltage to all the components. All-weather and high-efficiency passage with a safety guarantee on an expressway can be realized.

The invention provides a numerical control motor which comprises a photoelectric inductive module, a magnetoelectric inductive module and a processor; the photoelectric inductive module, the magnetoelectric inductive module and the processor are connected with the motor; the photoelectric inductive module and the magnetoelectric inductive module are mechanically connected with the motor; the signal lines of the photoelectric inductive module and the magnetoelectric inductive module are connected with the processor; the processor is also connected with an emergency power supply; the photoelectric inductive module and the magnetoelectric inductive module match each other so as to monitor the rotation of the motor. The invention has the advantages of accurate positioning of the motor, no upper limit in the limitation range, less mechanical connection, smaller abrasion, less power loss in the static state of the motor, continuous monitoring after the power is cut; thus the invention is suitable for wide promotion.

The invention belongs to the field of medical equipment and aims at providing a portable and skillfully-structured Internet-of-things-based household medical monitoring system. According to the technical scheme, the Internet-of-things-based household medical monitoring system comprises a hat worn by a patient, and the hat is composed of a barrel hat body and a circle of hat brim under the hat body; the upper portion inside the hat body is provided with a horizontal separating plate which separates the inner cavity of the hat body into an upper mounting area and a lower wearing area, wherein the inside of the mounting area is provided with a control chip, a storage battery and a wireless transmission device; through the wireless transmission device, the control chip is communicated with a management system of a hospital and mobile phones of attending doctors and family members of patients; the inner surfaces of the lower parts of both sides of the hat body are respectively provided with a pulse sensor communicated with the control chip. The Internet-of-things-based household medical monitoring system is compact and reasonable in structure, convenient to carry, free from influence on normal life of the patients and very convenient to use.

The invention relates to a fatigue detection method and system fusing electroencephalogram, electro-oculogram and heart rate, and belongs to the field of fatigue detection.The method comprises the steps that firstly, a forehead single-channel electroencephalogram signal and a forehead photoelectric volume pulse wave signal are collected, the pulse rate PR is extracted from the forehead photoelectric volume pulse wave signal, then a forehead electro-oculogram signal is separated from the forehead single-channel electroencephalogram signal, and the pulse rate PR is extracted from the forehead electro-oculogram signal; and finally, inputting the calculated energy ratio representing the electroencephalogram information, the calculated blinking frequency information representing the electro-oculogram signal and the calculated energy ratio representing the heart rate signal into a fatigue detection regression model to output a fatigue degree value, so that combined detection of the electroencephalogram signal, the electro-oculogram signal and the heart rate signal is realized. The fatigue detection accuracy can be effectively improved through multi-dimensional evaluation of the fatigue degree; meanwhile, the three kinds of physiological information can be obtained synchronously at the same time, collection is convenient and fast, continuous monitoring of fatigue driving can be achieved, and the problems that an existing fatigue detection method cannot conduct continuous monitoring and is low in accuracy are solved.

The invention provides a business data monitoring method, a device, computer equipment and a readable storage medium. The method comprises the steps that a timing task corresponding to a monitoring instruction is configured, and the monitoring instruction comprises monitoring frequency and an exception judgment method used for judging whether service data comprise exception data or not; when the timing task reaches the execution time requirement of the monitoring frequency, the timing task is issued to a data computing node, and the data computing node is used for executing an exception judgment method on a service database when receiving the timing task; and an exception judgment result returned by the data calculation node is received. According to the method and the device, the servicedata does not need to be subjected to secondary unloading, so that the resource expenditure of data circulation and data storage is reduced.

The invention provides a heartbeat detection method among multiple operating systems and a vehicle-mounted infotainment system. A first channel built based on a virtual machine manager is arranged between a first system and a second system of the multiple operating systems, the first system is provided with a heartbeat receiving end and a first driving module, and the second system is provided with a heartbeat sending end and a second driving module. The detection method comprises the steps that the second system writes a current heartbeat event sent by a heartbeat sending end into a first channel through a second driving module to serve as a first heartbeat event; the first system reads the first heartbeat event from the first channel through the heartbeat receiving end via the first driving module; the first system determines whether the second system is abnormal according to the first heartbeat event. According to the heartbeat detection method among the multiple operating systems, heartbeat detection is performed through the first channel established based on the virtual machine manager, so that the first system monitors the state of the second system under the condition of not depending on a network, and misjudgment of the first system on the state of the second system caused by network abnormality is effectively avoided.

The invention provides a remote acquisition method for microscopic images of fungal spores in air. A glass slide can be replaced automatically, and uniform coating of a spore adsorbent can be completed automatically; different capture time can be set when the spores in air are captured, the microscopic images can be collected in real time when the fungal spores are enlarged by 100-400 times according to the need, and remote wireless transmission of the image information can be achieved through the wireless transmission technology. Solar energy is used for supply power so as to achieve continuous monitoring of the fungal spores. The invention further provides a device for implementing the method. The device includes a glass slide taking device, a carrier platform, a greasing device, a sporecapturing airway device, a microscopic imaging device and a solar power supply module. The device is integrated with a wireless communication module to achieve remote wireless communication of imageinformation. The collection device and method can achieve remote monitoring of the fungal spores in air.

The invention discloses an airport deformation monitoring method for a multi-feature scatterer based on amplitude intensity, and the method comprises the steps: obtaining SAR image data of which space-time baselines meet a threshold value in SAR image data, generating interference pairs, carrying out the coherence estimation of the generated interference pairs, determining a coherence threshold value, dividing a low-coherence region, and carrying out the detection of the low-coherence region. The method comprises the following steps: arranging an artificial corner reflector in a low-coherence area, obtaining a backscattering coefficient amplitude deviation coefficient and an amplitude mean coefficient, taking the amplitude deviation coefficient as a scatterer primary selection threshold value, obtaining a large number of primary selection earth surface scatterers, obtaining deformation information of the primary selection earth surface scatterers, taking the amplitude mean coefficient as a selection threshold value of a correction point, and obtaining the correction point. A certain number of correction points are obtained, networking is carried out on the obtained correction points and the adjacent primarily-selected surface scatterer with similar coherence, indirect adjustment is carried out on the correction points and the primarily-selected surface scatterer, and regional high-precision deformation information is obtained. The method can overcome the influence of regional incoherence on precision, and is high in efficiency and extremely low in cost.

The invention provides a device and a method for detecting a water level of a pressure vessel of a nuclear power plant reactor. The device comprises a core cooling monitoring instrument, a core cooling state identification module and a pressure vessel water level prediction module, wherein the core cooling monitoring instrument is used for acquiring a supercooling degree signal of a cooling agent of a core outlet and a main pump state signal; the core cooling state identification module is used for receiving the supercooling degree signal and identifying a temperature interval in which the supercooling degree signal is positioned; the pressure vessel water level prediction module is used for calculating, according to the main pump state signal and the temperature interval in which the supercooling degree signal is positioned, to obtain the water level of the pressure vessel. The device and the method which are provided by the invention implement continuous monitoring on the water level of the pressure vessel by predicting the water level of the pressure vessel, and provide a means for an operator to correctly judge a deterioration degree of a pressure vessel water device; meanwhile, the invention discloses judgment on a deterioration degree of a fuel cladding temperature according to the water level of the pressure vessel, so that the defect of not directly measuring the fuel cladding temperature is overcome, and the basis is provided for the operator to correctly judge a core cooling state so as to adopt effective mitigation measures.

The invention relates to a track planning method for cooperative detection and obstacle avoidance of a group of UAVs, which includes: S1: setting the flyable area of ​​the UAV group and the designated task monitoring area within the flyable area; S2: defining N unmanned aerial vehicles The yaw angle independent variable of the human and machine is initialized, and the yaw angle of N drones, the position coordinate information in the flyable area, the current search step number k=0, and the cumulative coverage of the mission area at the current moment=percent= p 1 ; S3: Predict the track yaw angle and position information of N UAVs (k+1) in the flyable area, and calculate the coverage area and fitness function value respectively; S4: Compare all possible fitness values, and select The yaw angle and position information of the optimal fitness value are stored in the track map as the information of step k+1; S5: Let k=k+1, determine whether k=K or percentage=1, and if so, end Planning, otherwise continue with S3 to S5. The method of the present invention can realize the maximum monitoring coverage area, avoid obstacles, and the required track has no fixed starting point and end point.

The invention discloses a data monitoring method and device, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring a data original message; extracting key data in the data original message, and storing the key data in a data set according to a predetermined hierarchy; receiving an abnormal data query operation, and determining abnormal data in the data set; and monitoring abnormal data at regular time. The technical problem that the abnormal data is difficult to comprehensively monitor when the abnormal data is monitored in the prior art is solved.

The invention discloses a haze-auto-adaptive expressway traveling speed early-warning device and method. The device comprises a CCD camera module, a microprocessor, an output module and a power supply; the CCD camera module is used for shooting scenery in front of a traveling vehicle and sending shot image information to the microprocessor; the microprocessor is used for processing the image information from the CCD camera module to determine a visible observation distance under real-time road conditions and determine safe traveling speed limit data according to the visible observation distance; meanwhile, the speed limit data is sent to the output module; the output module sends out the safe traveling speed limit data to let a driver know; the power supply is connected with all the components to supply working voltage to all the components. All-weather and high-efficiency passage with a safety guarantee on an expressway can be realized.

The invention discloses a method for detecting the concentration and a speed of silver ions released in the nano-silver dissolution process. According to the method, step 10), a nano-silver colloidal solution coated with sodium citrate is centrifuged and redissolved, and existing silver ions in the solution are removed; step 20), the nano-silver colloidal solution without the silver ions is mixed with a Raman labeled molecule solution, and a to-be-detected sample solution is obtained; the volume rate of the nano-silver colloidal solution coated with sodium citrate to the to-be-detected sample solution is 1:10; step 30), the to-be-detected sample solution is taken and put in a closed quartz colorimetric dish, and a microscopy Raman platform is used for Raman testing; step 40), Raman data obtained in the step 30) are subjected to baseline correction, curve fitting and data processing, and the changing curve of the concentration of the silver ions released by silver nanoparticles along with time and the changing curve of the release speed of the silver ions along with time are obtained by the aid of mathematic plotting software. The content of the silver ions released in the dissolution process of nano-silver can be continuously detected with the detection method.