51results about How to "Meet the requirements of real-time monitoring" patented technology

An intelligent monitoring and alarm method based on moving object detection has the following steps: step 1, picking up the grey scale information of a video signal; step 2, initializing a background matrix; step 3, carrying out background-based object detection; step 4, updating the background. The invention detects an initial sequence through a frame difference method and establishes the initial background according to the detection result; after the initial background is established, a background method is used to detect a moving object; the background model adopts a mean-based difference comparison method instead of a probability threshold value comparison method; the background updating is carried out in two parts, namely a foreground point part and a background point part. The method capable of automatically updating the background can detect the moving object in time with effectiveness and timeliness, thereby avoiding a 'ghost shadow' to a great extent. Furthermore, the invention can meet the requirements of multi-path real-time monitoring with simple operation and high speed.

Provided is a magnetic disc file operation monitoring system based on Xen hardware full virtualization. The magnetic disc file operation monitoring system comprises a supervision module, an information sending module, a monitoring module and a safety module. The supervision module obtains behavior information through interception of magnetic disc file operations of a full-virtualization user operation system so as to achieve the purpose of supervision. The information sending module and the monitoring module enable the behavior information to be transmitted from a domU to a domO. The safety module guarantees operation safety of the information sending module and the monitoring module. The invention provides a monitoring method which includes the steps of intercepting and replacing call of the magnetic disc file operation system in full virtualization, determining types of monitored files, determining whether the files need to be monitored in the operation process, comprehensively determining whether a behavior needs to be monitored according to operation types, the file types and process information, obtaining the behavior information, obtaining an operation target absolute path, sending information, performing information monitoring, and detecting whether the supervision module and the information sending module are attacked when codes are operated, wherein the supervision module and the information sending module are operated under the domU. According to the magnetic disc file operation monitoring system and the monitoring method based on Xen hardware virtualization, real-time monitoring is achieved, and I / O efficiency of an Xen full-virtualization network is improved.

A pig posture monitoring device and method based on a micro-inertial sensor, the device includes an information collection module for collecting individual information of pigs; a posture calculation module for fusing and filtering the information collected by the information collection module and outputting the posture angle; and The PC host computer used to recognize the attitude of pigs according to the output results of the attitude calculation module, the invention saves packaging space, and adopts the fourth-order Runge-Kutta optimization algorithm to update the attitude information, through the dynamic Kalman filter model, using the acceleration The gyroscope and magnetometer compensate the drift of the gyroscope, realize the complementary advantages of the gyroscope attitude and the accelerometer and magnetometer attitude, improve the accuracy and reliability of the dynamic measurement of the system, not only significantly reduce the equipment cost, but also have strong applicability. It can meet the requirements of real-time monitoring, and can replace the breeders to observe the posture of the pigs at each moment, so as to detect the suspected pigs early and reduce economic losses.

The invention relates to a wireless remote sensing storage type seismograph system, which aims to solve the problem of absence of real-time quality control of the conventional storage type seismograph. The wireless remote sensing storage type seismograph system is a wireless-remote-sensing-based storage type digital seismograph system, and consists of three main units, namely a central control operating system (CCOS), control operating systems (COS) with a relay function and acquisition stations (AS). The utilization range of the wireless storage type seismograph is greatly widened, and the construction efficiency of the wireless storage type seismograph is greatly improved. The wireless remote sensing storage type seismograph system has the main advantages that: (1) the requirement of real-time quality monitoring over acquired seismic data is met; (2) the power-on, power-off and dormant state of the storage type seismic acquisition station can be switched by utilizing wireless remote sensing, and the operating state of a power supply can be known at any time, so that power loss is greatly decreased, and the operating time of the acquisition station is prolonged; (3) acquisition flexibility and efficiency are greatly improved; and (4) the operating state of the acquisition station can be monitored and set by utilizing the wireless remote sensing, so that the operating state of the acquisition state can be known at any time.

The invention relates to a method for performing seismograph control and data transmission by using a short message and a short message control and transmission type cableless seismograph. Aiming at solving the problem of no real-time quality control to the prior cableless seismograph, the method for seismograph control and data transmission introduces a mobile phone unit into an acquisition station for the prior cableless seismograph, and utilizes the short message to conduct state control and data transmission to the acquisition station for the cable-less seismograph. The acquisition stationfor the cableless seismograph comprises a main control unit, an acquisition unit, a storage unit, a GPS unit, a power management control unit and a mobile phone unit. The invention has the advantagesthat the work load of measurement can be reduced, the laying of the acquisition equipment is more flexible, simpler and more convenient, the synchronous collection mode for blasting at the fixed timeis convenient, the construction efficiency is favorable for improving, the data recovery is flexible, an SPS file can be automatically generated, the coordinate with cm-level accuracy can be automatically calculated, the difficult problem of no real-time quality control to the cableless seismograph is solved in a simple and inexpensive way, and the application range and the construction efficiency of the cableless seismograph are greatly improved.

The invention discloses a method for pedestrian matching between viewpoints of non-overlapped cameras. The method provided by the invention comprises the following steps of: determining an object Oj,b to be matched in Cj according to the arranged non-overlapped cameras Ci and Cj and detecting R objects which leave the camera Ci and enter the camera Cj within a period of time; carrying out illumination correction on pedestrian objects in the camera Ci and calculating a DLBPriu2 value of each pixel in the objects; then calculating three two-dimensional histograms R_DLBP (Red_DLBP), G_DLBP (Grey_DLBP) and B_DLBP (Black_DLBP) of each object; distributing each two-dimensional histogram into a one-dimensional histogram according to the DLBP of color components; connecting three one-dimensional histograms in series to obtain an RGB-DLBP descriptor; and finally, realizing pedestrian matching among different cameras based on the similarity of the RGB-DLBP descriptor. In the method provided by the invention, color information of a colorful target is combined with space structure information so that the colorful target can be more effectively represented; and simple construction and convenience in calculation are realized, and the requirements of the pedestrian matching between the viewpoints of non-overlapped cameras in the practical application can be met.

The invention belongs to the filed of dynamic object three-dimensional measurement and particularly relates to a corresponding point searching method based on phase shift and trifocal tensor. The method includes: using parallax constraints to remove error match points, optimizing grating boundary points, checking mixed consistency, using epipolar constraints to further improve corresponding point precision, and accordingly full-time-resolution and full-spatial-resolution three-dimensional measuring of dynamic objects is achieved. By the method, phase unwrapping is unnecessary during three-dimensional reconstruction, corresponding points of source match points are obtained by using trifocal tensor constraints directly, and surface discontinuity of an to-be-measured object needs not to be considered. In the mean time, data processing speed is increased due to the fact that the phase unwrapping is unnecessary, and real-time monitoring requirements of deformable objects are satisfied. The method is applicable to measuring of dynamic objects of optional shapes without using extra images to determine the corresponding points.

The invention provides a mercury vapor continuous monitoring device and monitoring method based on diode laser, belonging to the technical field of mercury vapor monitoring. The invention enables the problems that a conventional mercury vapor measuring system has a complex structure and real-time monitoring of mercury emission in conventional mercury vapor measuring is poor to be overcome. The monitoring device comprises a signal generator, a first laser diode controller, a second laser diode controller, a first laser diode, a second laser diode, a first reflector, a dichroic beam combiner, afirst convex lens, BBO crystals, a second convex lens, a beam splitter prism, a second reflector, a spectroscope, a sample cell, a reference cell, a first optical filter, a second optical filter, a first detector, a second detector and a data acquisition analyzer. According to the monitoring method, diode laser absorption spectroscopy is used to realize continuous monitoring of the concentration of mercury vapor, and spectral information of reference gas is utilized to realize selective identification and quantitative detection of gaseous elemental mercury, thereby eliminating interference brought by gas like sulfur dioxide and nitrogen dioxide. The monitoring device and the monitoring method provided in the invention are used for on-line monitoring of mercury vapor.

The invention discloses an intelligent remote electric energy monitoring system and monitoring method based on 5G communication. The monitoring system comprises an intelligent electric energy acquisition terminal, a regional management center and a remote Internet of Things platform; the intelligent electric energy acquisition terminal is used for monitoring and storing power utilization related parameter values; the regional management center reads various parameter values measured by the intelligent electric energy acquisition terminal based on a Modbus protocol, and then uploads data to theremote Internet of Things platform in real time through a 5G network based on an MQTT protocol; and the remote Internet of Things platform is used for remotely monitoring changes of various parameters acquired by the intelligent electric energy acquisition terminal, and can process power utilization sudden faults occurring in a family in time. Compared with other power monitoring schemes, the system is stable and feasible in framework, is more suitable for popularization and application, can effectively reduce the tedious workload of a power company in the actual power detection process, cancarry out the big data analysis of the urban power consumption condition, and improves the power management work efficiency.

The invention discloses a water and steam flow calculation method based on measurement of a throttling device. The water and steam flow calculation method based on measurement of the throttling devicecomprises the steps of acquiring a throttling device front and back differential pressure signal, a throttling device front medium pressure signal and a throttling device front medium temperature signal; calculating to obtain a throttling device front and back pressure ratio; then obtaining the inner diameter of the throttling device, the inner diameter of a pipeline and the aperture ratio of thethrottling device at a working temperature; calculating to obtain the density, dynamic viscosity and isentropic index of a working medium; calculating a primary outflow coefficient by utilizing the aperture ratio of the throttling device; then obtaining the expansibility factor of the medium; further obtaining a flow measurement intermediate value and a Reynolds number intermediate value; finally, calculating to obtain an outflow coefficient; and combining the outflow coefficient, the diameter of the throttling device, the expansibility factor, the fluid density and the differential pressureof the throttling device to obtain a final flow value. By the method, accurate measurement and calculation of water and steam flow are realized, meanwhile, logic implementation is simple, and the requirements of industrial process operators to normal monitoring of a process system and accurate control and adjustment of a thermal process are met.

The invention discloses a method and device for controlling an urban traffic signal. The method includes: an average vehicle speed of an urban section is estimated according to an obtained vehicle flow density parameter of the urban section; statistics of an average vehicle speed of all urban sections is carried out and an average vehicle speed of the city is estimated; and according to the average vehicle speed of the city and an average vehicle speed at a road intersection interface in all directions, a green time ratio and / or switching cycle of a traffic light at the road intersection is adjusted. Therefore, average speeds of the section and the urban vehicles can be estimated accurately in real time; the reasonable control and optimization of the traffic signal are realized; the vehicle passing speed is increased; and the occurrence rate of the urban road congestion is reduced.

The invention discloses an optical fiber-coupled laser sum frequency technology-based trace mercury concentration detection method and device. The device comprises a data acquisition card, two laser diode drivers, two diode lasers with tail fibers and different wavelengths, a 1: 2 tapering lens optical fiber, barium metaborate (BBO) crystals, a quartz lens, a beam splitter prism, two reflectors, a light splitter, a reference cell, a sample tank, two photomultipliers, two filters and a computer. The method utilizes a multiple linear regression algorithm and an automatic circuit control wavelength feedback technology to realize on-line continuous detection of a mercury vapor concentration.

The invention provides a method and device for synchronously detecting tissue displacement and T2, and the method and device can reduce the time in detecting the tissue displacement and T2. The methodcomprises the steps: adding displacement code gradients to the front and back of a 180-degree gathered pulse of a segmented plane echo sequence, and determining the start and end time points of a high-intensity focused ultrasound pulse according to the displacement code gradients; triggering the high-intensity focused ultrasound pulse to operate between the start and end time points, and respectively collecting two groups of phase diagrams and two groups of amplitude graphs when the high-intensity focused ultrasound pulse operates, wherein the displacement code gradients corresponding to thetwo groups of phase diagrams and two groups of amplitude graphs are opposite in polarity, and the echo time corresponding to the two groups of phase diagrams and two groups of amplitude graphs are different; calculating the tissue displacement according to the two groups of phase diagrams, and carrying out the quantification of T2 according to the two groups of amplitude graphs.

The invention relates to the field of information communication, in particular to equipment with a long-distance starting shoot function and a method of long-distance shoot thereof. The equipment with a long-distance starting shoot function comprises a setting module, a judging module, a shooting module and an information return module. The setting module is connected with the judging module. The judging module is further connected with the shooting module. The shooting module is connected with the information return module. The method of the long-distance shoot comprises the steps that an authentication key is set; an information request of a request side is received and the information request is judged whether to comprise the authentication key or not; and shooting is carried out by a driving shooting device and return information is set up and delivered after the shooting is completed. The authentication key is arranged, thus the equipment with the shoot function is automatically started under a safe condition. The fact that the information of shooting contents is automatically returned to a receiving place designated by the request side in an information delivering way at the same time is achieved. Real time information is obtained in time by the request side. The whole process is convenient, rapid and safe.

The invention relates to a calibration method and system for an automobile whistling snapshot device based on deep learning. The calibration system comprises an automobile whistling snapshot device,a sound source, a black and white grid disc, a transmission device, a signal generation device and a computer. The automobile whistling snapshot device is fixedly installed at the position right opposite to the sound source and is connected with a computer for processing data. The sound source is loaded on a transmission device consisting of a plurality of sections of guide rails, and a black andwhite grid disc is fixed right behind the sound source; the sound source is connected with the signal generating device and used for simulating different automobile whistling sounds. By capturing a sound source, a pseudo-color image and a black and white grid disc in the acoustic phase cloud image generated by the whistling snapshot device through the neural network, the positioning precision andthe resolution precision are acquired by calculations. The performance of the whistling snapshot device is rapidly detected in real time, the product research and development quality are ensured, andthe performance index requirements of enterprises for research and development products are improved.

The invention relates to an intelligent traffic light control system of passive millimeter waves based on traffic flow. The system belongs to the radiation detection field of passive millimeter waves and solves the problem that a vehicle detector in the existing traffic light control system has low detection accuracy caused by electromagnetic pollution, complex installation and poor detection performance. The millimeter-wave-signal output end of a reflector communication antenna is connected with the millimeter-wave-signal input end of a millimeter-wave radiometer. The voltage-signal output end of the millimeter-wave radiometer is connected with the voltage-signal output end of a single-chip control system. A power module is used for providing working power to the millimeter-wave radiometer, the single-chip control system, a digitron display module and a traffic light display module. The first control signal displaying output end of the single-chip control system is connected with the control signal displaying input end of the digitron display module. The second control signal displaying output end of the single-chip control system is connected with the control signal displaying input end of the traffic light display module. The intelligent traffic light control system is specifically applied in the traffic light control field.

The invention provides a wireless passive self-energized atmospheric environment sensor array and a preparation method thereof. The sensor array comprises a rotating shaft, polymer rotors, metal receiving poles, gas sensing films, lead wires, and a base. The sensor array realizes an environmental energy collection-wireless energy transmission-spontaneous active detection integrated detection system which can be driven simultaneously only by the external mechanical movement, and independent work without an external power supply is achieved. The external mechanical energy is collected by the polymer rotors. The energy is wirelessly transmitted to a back-end collecting end in the form of a time varying electric displacement field. A specific gas sensing reaction is modulated in the output electrical signal at an energy conversion interface so as to meet the requirement of the wireless passive self-energized real-time monitoring for the atmospheric environment, and lay a solid theoreticaland technical foundation for the development of an atmospheric environment monitoring network and system.

The invention discloses a device for real-time monitoring of the mixing material ratio data in an asphalt mixing station, comprising an industrial control computer in each mixing station operating room. The industrial control computer in each mixing station operating room is provided with a VGA (Video Graphics Array) high-definition image collection card which is connected with a wireless module through an RS232 bus serial port; and the wireless module and a GPRS (General Packet Radio Service) module form a GPRS wireless network which is connected with a computer in a monitoring centre through an Internet network and a router. The invention can realize online real-time monitoring of the mixing quality of the asphalt mixing material, and ensure that device operators can rapidly and accurately find the problems of the mixing device so as to improve the stability of the product quality, ensure the enterprise benefit and reduce the resource waste.

The invention provides a remote network behavior real time monitoring method based on multilayer data interception. A plurality of monitor devices are connected with a security center, the design framework of the monitoring system is implemented based on B / S model distributed network behavior, and the network behavior real time monitoring is divided into two parts: the monitor devices analyze themessages in real time, and the messages in conformity with the monitoring strategy are reported to the security center; the security center issues the monitoring strategy to the monitor devices, the messages are analyzed and a search engine is provided, a user is connected with the security center by a terminal, and the user configures the monitoring strategy and queries the network behaviour to realize monitoring the remote network behavior in real time. The application of remote network behavior real time monitoring technology based on multilayer data interception can effectively manage theinformation security of the remote network, thus realizing information security uniform management and secondary mining and analyzing of data and improving the information security of the whole network.

The invention relates to a snail pest control method based on visual target detection in dendrobium officinale cultivation. The snail pest control method comprises the following steps of 1) collecting the pictures and the video data with snails; 2) preprocessing the data; 3) training a snail detection network; 4) monitoring the snails real-timely. The beneficial effects of the invention are as follows by processing the image and the video processed according to the characteristics of the agricultural environment by using a convolutional neural network and a sliding window technology, selecting a target, and labeling, the detection accuracy and efficiency of the method are obviously better than those of the existing method; meanwhile, due to the fact that the end-to-end convolutional neural network is used, the real-time processing speed is high, the requirement for real-time monitoring in the agricultural environment can be met, the advantages of being convenient to achieve and low in hardware equipment requirement are achieved, and the insect pest detection effect, especially the snail detection effect, in the intelligent agriculture can be effectively improved.

The invention provides an agricultural greenhouse breakage detection device based on a machine vision technology, and belongs to the field of non-destructive detecting. The agricultural greenhouse breakage detection device is characterized in that the machine vision technology of a high-flexibility image taking device is adopted to real-timely monitor the breakage situation of an agricultural greenhouse. According to the agricultural greenhouse breakage detection device, through the image taking device, the extracted greenhouse surface plastic film features are converted into image and digitalsignals, the greenhouse surface plastic film state is detected according to the system judgment result, and when abnormity is detected, an alarm signal is sent out so as to avoid the situation that the greenhouse is affected by the external severe weather and other factors and consequently, the crop loss is caused. According to the agricultural greenhouse breakage detection device, the agricultural greenhouse state can be detected effectively in real time, the structure is simple, and human-machine interaction operation is easy.

The invention relates to an adaptive enhancer module for a radial basis function neural network based on FPGA design. The adaptive enhancer module is characterized by being formed by connecting a signal conversion circuit, a radial basis function circuit, a signal adjusting circuit, an LMS filter circuit and an output adjusting circuit, wherein the input end of the signal conversion circuit is connected to an original signal, and the output end of the signal conversion circuit is connected to the input end of the signal adjusting circuit and the input end of the radial basis function circuit;the output end of the radial basis function circuit is connected to another input end of the signal adjusting circuit; the two output signals of the signal adjusting circuit are respectively connectedto the LMS filter circuit; the input end of the output adjusting circuit is respectively connected to the output end of the LMS filter circuit, an adjusting signal m and an adjusting signal n, and asignal for removing noise is output. According to the adaptive enhancer module, the design is reasonable, the performance of the conventional LMS filter is improved, a fast calculation function is realized, the stability and the reliability of the performance are guaranteed, and the requirements for real-time monitoring of the somatosensory evoked potential can be met.

The invention provides an anti-lost safety management system and method. The system comprises an access control device, a first wireless communication device and a management device. Wherein the access control device is arranged at an entrance and exit of an activity space to open or close the entrance and exit, and the first wireless communication device arranged around the entrance and exit of the activity space is configured to communicate with a second wireless communication device carried by a monitored person. And the management device is configured to obtain hosting data of the monitored personnel and the position of the monitored personnel, transmit the obtained position of the monitored personnel to a third wireless communication device owned by the corresponding monitored personnel, and send the position of the monitored personnel to the third wireless communication device when the monitored personnel are about to leave or leave the allowable activity range. And the access control device is controlled to close the entrance and exit, and an abnormal leaving alarm is sent to the third wireless communication device, so that the timeliness of interaction with guardians is improved.

The invention discloses a zero value detection device for an electric power overhaul unmanned aerial vehicle. The device is arranged at the lower part of an unmanned aerial vehicle body, and an overhaul worker can operate the unmanned aerial vehicle and a multi-axis mechanical arm through a controller to perform contact type high-voltage zero value detection operation. On the premise that normal power supply of the overhead power line and working safety of the unmanned aerial vehicle are guaranteed, maintainers can conveniently and remotely control the unmanned aerial vehicle to get close to and make contact with an insulator of the high-voltage overhead power transmission line and control the multi-axis mechanical arm to complete live-line zero value detection operation.

The invention belongs to the filed of dynamic object three-dimensional measurement and particularly relates to a corresponding point searching method based on phase shift and trifocal tensor. The method includes: using parallax constraints to remove error match points, optimizing grating boundary points, checking mixed consistency, using epipolar constraints to further improve corresponding point precision, and accordingly full-time-resolution and full-spatial-resolution three-dimensional measuring of dynamic objects is achieved. By the method, phase unwrapping is unnecessary during three-dimensional reconstruction, corresponding points of source match points are obtained by using trifocal tensor constraints directly, and surface discontinuity of an to-be-measured object needs not to be considered. In the mean time, data processing speed is increased due to the fact that the phase unwrapping is unnecessary, and real-time monitoring requirements of deformable objects are satisfied. The method is applicable to measuring of dynamic objects of optional shapes without using extra images to determine the corresponding points.

The invention discloses a foreign matter removing device for an electric power overhaul drone. The foreign matter removing device is arranged at the lower part of a drone body, and a maintainer can operate the drone and a multi-axis mechanical arm to carry out foreign matter removing operation through a controller. According to the foreign matter removing device for the electric power overhaul drone, and on the premise that normal power supply of an overhead power line and working safety of the drone are guaranteed, the maintainer can remotely control the drone to be close to the high-voltageoverhead power transmission line and control the multi-axis mechanical arm to complete contact type foreign matter removing operation conveniently.

The invention relates to a radial basis function neural network adaptive enhancer circuit based on FPGA design, and its technical characteristics are: connected by a signal conversion circuit, a radial basis function circuit, a signal adjustment circuit, an LMS filter circuit and an output adjustment circuit The input end of the signal conversion circuit is connected with the original signal, the output end is connected with the input end of the signal adjustment circuit and the radial basis function circuit, and the output end of the radial basis function circuit is connected with the other input end of the signal adjustment circuit The two output signals of the signal adjustment circuit are respectively connected to the LMS filter circuit, the input terminals of the output adjustment circuit are respectively connected to the output terminals of the LMS filter circuit, the adjustment signal m and the adjustment signal n and output the noise-removed Signal. The invention has a reasonable design, improves the performance of the conventional LMS filter, realizes the fast calculation function, ensures the stable and reliable performance, and can meet the requirement of real-time monitoring of the somatosensory evoked potential.

The invention relates to a method for performing seismograph control and data transmission by using a short message and a short message control and transmission type cableless seismograph. Aiming at solving the problem of no real-time quality control to the prior cableless seismograph, the method for seismograph control and data transmission introduces a mobile phone unit into an acquisition station for the prior cableless seismograph, and utilizes the short message to conduct state control and data transmission to the acquisition station for the cable-less seismograph. The acquisition station for the cableless seismograph comprises a main control unit, an acquisition unit, a storage unit, a GPS unit, a power management control unit and a mobile phone unit. The invention has the advantages that the work load of measurement can be reduced, the laying of the acquisition equipment is more flexible, simpler and more convenient, the synchronous collection mode for blasting at the fixed time is convenient, the construction efficiency is favorable for improving, the data recovery is flexible, an SPS file can be automatically generated, the coordinate with cm-level accuracy can be automatically calculated, the difficult problem of no real-time quality control to the cableless seismograph is solved in a simple and inexpensive way, and the application range and the construction efficiency of the cableless seismograph are greatly improved.