72results about How to "Meet the needs of real-time monitoring" patented technology

The invention discloses an electric energy meter fault prediction method based on a decision tree algorithm. The electric energy meter fault prediction method comprises the following steps: acquiring relevant data of a user by using an acquirer and eliminating wrong data; analyzing whether electric energy meters which have abnormal environments and abnormal quality exist in specific power transformer users and low-voltage users within statistical time buckets; counting whether metering and electricity utilization abnormal events which meet requirements of fault judgment exist for the special power transformer users, and counting whether metering abnormal events which meet requirements of fault judgment exist for the low-voltage users; establishing an electric energy meter fault prediction model by using the decision tree algorithm according to manufacturers corresponding to the electric energy meter and information of failed batches and on the basis of electric energy meter metering fault information of a marketing system; judging whether the result is accurate or not; if the result is accurate, finishing the process; and if the result is inaccurate, continuing judging faults. By the electric energy meter fault prediction method based on the decision tree algorithm, failed electric energy meters can be found out accurately in time, so that workload of field investigation and metering fault treatment of an examination department is reduced.

The invention provides a vibration monitoring system and a signal processing method based on LFMCW (Linear Frequency Modulation Continuous Wave) radar. The vibration monitoring system comprises a radar transceiver, a tuned signal generator, a data collection module, a signal processing module, and a display and analysis module. The signal processing method comprises the following steps: step one,capturing effective baseband beat signals within each frequency sweep period, and generating composite beat signals; step two, estimating the beat frequency; step three, carrying out phase estimationthrough an algorithm similar to maximum likelihood estimate; step four, carrying out phase jump correction on an estimated initial phase time sequence; and step five, extracting vibration displacementtime domain information. The LFMCW radar is utilized to conduct non-contact type vibration movement sensing, vibration displacement time domain information is extracted by accurately estimating the initial phase of the beat signals within each frequency sweep period, and vibration monitoring requirements for target objects in an extreme environment and from a medium or short distance are satisfied.

The invention discloses an epileptic seizure monitoring method and system based on depth data. The method comprises steps of: acquiring a data source of an epileptic by using a depth sensor; determining whether the epileptic is likely to have as epileptic seizure by analysis of a resultant accelerated speed threshold value of joints; tracking the loci of the joints by using an optical flow method, computing sampling point speed to achieve feature extraction, acquiring a feature capable of describing the drastic vibration of the arms and the legs of the epileptic when the epileptic has an epileptic seizure; identifying whether the current epileptic has an epileptic seizure by using a support vector machine classification method, and if yes, enabling a loudspeaker to give alarm sound, enabling an LED to twinkle, and automatically sending a short message or email via GSM and 4G mobile communication to notify family members. The system comprises a depth data acquisition module, a preanalysis module, an identification module, a data storage module, and an alarm module. The method and the system may accurately and timely monitor the vibration of the arms and the legs of the epileptic having an epileptic seizure, and are insusceptible to environmental changes such as light or the like, fast in detection speed, and good in robustness.

The invention relates to a video processing method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the decoding of a video stream, and obtaininga plurality of video frames, wherein the video stream comprises a target object collected in real time; selecting a part of to-be-processed video frames from the plurality of video frames according to a frame selection strategy, wherein the to-be-processed video frames are used for representing video frames of which the image quality meets a real-time monitoring requirement in the plurality of video frames containing the target object; and extracting structured information corresponding to the target object from the to-be-processed video frame, and sending the structured information to a terminal. By adopting the method and the device, the requirement of real-time monitoring can be met.

The invention discloses an internet of things gateway edge calculation-based vibration analysis system and analysis method. The system comprises a vibration sensing unit, a gateway analysis unit, a background analysis unit, and a client service unit. The method comprises a vibration sensing step, a gateway analysis step, a background analysis step and a client service step. A part of or all data analysis and calculation can be performed flexibly on the internet of things gateway according to the calculation capability of the internet of things gateway, the calculation capability of the internet of things gateway is fully utilized, the hardware resources are not wasted, and the overall use and maintenance costs of the system are lowered.

The invention discloses a laser pulse mass spectrometry (LPMS) mass estimating method based on data matching. The method comprises the steps of arranging a piezoelectric type acceleration sensor; collecting shocking signals of different masses and different falling heights; performing Fourier transform on the time-domain signals so as to transform the signals into a frequency spectrum; setting a cut-off frequency to obtain an effective frequency spectrum; setting a polynomial fitting order to perform curve fitting on the effective frequency spectrum; regarding all fitting curves as samples to form a mass estimating database; collecting site data and obtaining a fitting curve; performing correlation matching analysis on the obtained curve and all samples in the database; calculating a signal channel mass estimated value according to a relevant coefficient and the sample information; removing the abnormal values and calculating the final mass estimated value. The method disclosed by the invention is not influenced by the falling heights and environment noises, has the advantages of high precision and strong capacity of resisting disturbance, and also has robustness.

The invention belongs to the field of optical fiber sensing, and mainly relates to a temperature and direction recognizable curvature sensing optical fiber. A double-clad D-shaped multimode optical fiber with a semi-circular quartz cladding and an annularly-clad low-refractive-index plastic cladding is prepared through precision side grinding of an optical fiber preform and secondary pressure coating; the coating layer and the plastic cladding are mechanically peeled off, an SPR sensing film is plated, the restored optical fiber is reshaped by using a low-refractive-index liquid or a low-refractive-index coating adhesive, and an SPR sensing module is manufactured on the restored optical fiber; the optical fiber is novel and stable in structure, and high in bending performance, liquid and solid environment temperature measurement can be carried out through the resonance wavelength; multi-point simultaneous measurement based on the wavelength division multiplexing technology can also becarried out; curvature measurement, bending direction judgment and multi-point simultaneous measurement based on the wavelength division multiplexing technology can be carried out through two parameters of resonance wavelength and resonance valley depth, and the optical fiber and the method have a good application prospect in the fields of biomedicine, electronic chip monitoring, three gorges reservoir area landslide, reservoir banks and other geological environment monitoring.

The invention provides a dynamic balance smart city network bandwidth high efficiency data transmission method and system; the method comprises the following steps: using a vehicle terminal to collect vehicle data; sending the vehicle data to a control center through the internet when the network works; storing the vehicle data to a data buffer area when the network fails; transmitting the data in the data buffer area to the control center when the network recovers; using a scheduling transmitter to control each time transmitted data bulk. The scheduling transmitter works in the following steps: obtaining each time data transmission time so as to calculate the average time T; obtaining the previous data transmitting time t and the data bulk n; calculating the next time transmitting best data bulk; determining whether the data in the data buffer area is bigger than m or not, if yes, controlling the next time transmitting data bulk to the internet as m; if not, sending all data in the data buffer area to the internet. The method and system are low in cost, stable in transmission, good in instantaneity, and the network is not easy to be blocked.

The invention discloses a fiber grating digital demodulation method and system based on the autocorrelation principle. The invention solves the problems of present fiber grating sensor system demodulation technology of low measuring precision, poor real-time performance, insufficient reuse ability, high price, unsatisfied engineering practical needs, etc. The invention has the advantages of high measuring precision, fast scanning speed, good real-time performance, strong reuse ability, high performance-price ratio, strong utility, etc. The structure of the invention includes a light source and at least a fiber grating sensor. Through a coupling device, the light source is connected with the fiber grating sensors which are successively linked in series. At the same time, the coupling device also can be connected with a tunable filter, which is linked with a photoelectric detector. The photoelectric detector is successively connected with a preamplifier and a digital-analog converter. The digital-analog converter is connected with the input terminal of a digital controller. The output terminal of the digital controller is connected with the controlling input terminal of the tunable filter via an electromechanical controller and an electromechanical modulation system in turn.

The invention provides a multifunctional neck massager. The multifunctional neck massager comprises a collecting module and a main control module, wherein the collecting module is used for collecting pulse intensity of the human body neck artery; the main control module is connected with the collecting module and used for receiving the pulse intensity and frequency sent by the collecting module, converting the pulse intensity into human body blood pressure and the pulse frequency into human body heart rhythm and sending the human body blood pressure and the human body heart rhythm to a terminal device so that the terminal device can display the human body blood pressure and the human body heart rhythm. The pulse intensity and frequency of the human body neck artery are collected through the collecting module and sent to the main control module, the main control module converts the pulse intensity into the human body blood pressure and the pulse frequency into the human body heart rhythm, the human body blood pressure and the human body heart rhythm are displayed through the terminal device to be checked by a user at any time so that the user can effectively check health index data such as the human body blood pressure and the human body heart rhythm while massaged, and the requirement of monitoring the body health indexes in real time in real time of the user is met.

The invention discloses a remote vibration analysis system and a remote vibration analysis method. The system comprises a vibration sensing unit for measuring vibration data of equipment under test, agateway feedback unit for intensively receiving and uploading data, a vibration analysis unit for performing calculation and analysis and issuing results, and a business service unit for acquiring data results. The method comprises a vibration sensing step, a gateway feedback step, a vibration analysis step and a business service step. The system and the method disclosed by the invention have theadvantages that the framework is clear, the units are separated from each other, and the system has better flexibility and expansibility; furthermore, the vibration analysis unit is based on a network platform, a distributed calculation mode is adopted, and the calculation capability is stronger; and flexible expansion can also be performed according to the number of the accessed equipment and the number of users performing analysis simultaneously, so that the system flexibility is higher and the calculation result is more accurate.

Embodiments of the invention disclose a video fusion method, apparatus and device, and a computer readable storage medium. The method comprises the steps of extracting and collecting characteristic points of a visible light video and a terahertz video of a passing target in a terahertz safety check channel by utilizing SIFT feature descriptors respectively; and fusing the terahertz video and the visible light video according to time and spatial mapping relations, wherein a calculation process for the time and spatial mapping relations comprises the steps of, based on frame frequency proportioncoefficients of the visible light video and the terahertz video and a track speed curve of a preset characteristic point, determining the time mapping relation between the visible light video and theterahertz video, wherein the track speed curve is an outer contour change rate of the preset characteristic point of the shot object in the visible light video and the terahertz video; and determining the spatial mapping relation between the visible light video and the terahertz video according to a spatial position relation between collection devices of the visible light video and the terahertzvideo, and the time mapping relation. According to the video fusion method, apparatus and device, the real-time fusion of the visible light video and the terahertz video is realized; the safety checkefficiency of a terahertz safety check system is improved; and the practical requirements of safety check work are met.

The invention discloses an inserting and drawing checking method and equipment of the parameter module of a medicine monitor. The mainframe sends an asking signal to the parameter module at every the first set time; the parameter module sends a first responding signal to the mainframe after receiving the asking signal; if the mainframe receives the first responding signal at a second set time, then the parameter module is considered not to be drawn, and goes on maintaining the normal working state; if the mainframe does not receives the first responding signal at the second set time, then the parameter module is considered to be drawn, and automatically returns to the state of the inserting identifying procedure of the parameter module, tries to rebuild the connection, thereby realizing the automatic restart function of the mainframe and the parameter module in the monitor when meeting burst error.

The invention provides a regional monitoring system based on deep integration of intelligent operation and network security. The system comprises: a plurality of station side acquisition servers for packaging acquired data into a message with a time label, packaging and compressing the message according to a first-in first-out principle and then putting the message into a message queue; a centralized control side data processing server which establishes network communication with the station side acquisition server of each power station through an electric power special line and network equipment, and sends a message to a regional centralized monitoring system; and the regional centralized monitoring system which intensively displays the collected real-time data commands such as the fan/inverter and the integrated automation of each power station in the region according to the received message. According to the invention, the safety of the whole system network can be ensured, the real-time monitoring requirement is met, and the power generation efficiency of the unit is improved; and meanwhile, a network management software module is customized according to the current system architecture, software and hardware information of all devices can be efficiently monitored in real time on the center server side, and fault nodes can be rapidly positioned.

The invention discloses a prawn aquaculture farm aerator monitoring system, which comprises a monitoring execution terminal, a mobile phone terminal, a contactor and an aerator, and is characterized in that the monitoring execution terminal comprises a single-chip microcomputer, an AC (Alternating Current) detection module and a relay module, the aerator is connected with the single-chip microcomputer sequentially through the contactor and the relay module, the AC detection module is used for monitoring variation conditions in operating current of the aerator, the relay module is used for controlling on-off of the aerator, and the single-chip microcomputer is connected with the mobile phone terminal through GSM. The prawn aquaculture farm aerator monitoring system can meet a requirement of real-time monitoring for the aerator of culturists, is stable in operation, simple to assemble and convenient to operate, and can effectively reduce the inspection and maintenance strength of the culturists.

The invention relates to the technical field of hydraulic oil pollution detection and discloses a hydraulic oil pollution detection method and system and a rotary drilling machine. The hydraulic oil pollution detection method comprises the following steps of a, obtaining the hydraulic oil parameters measured by a fluid sensor; b, calculating the hydraulic oil pollution level according to the hydraulic oil parameters; c, comparing the hydraulic oil pollution level with corresponding index data in a hydraulic oil international database; issuing corresponding indicating signals according to comparing results. The hydraulic oil pollution detection method can meet the requirements on real-time field monitoring of the pollution level of hydraulic oil and is easy to implement, thereby effectively protecting the safe usage environment of execution units of a hydraulic system, improving the integral safety performance, reducing the number of times of damage of key parts and prolonging the service life of related equipment.

The invention discloses a template matching implementation device and method based on an FPGA. The device comprises a memory and the FPGA. The memory is used for storing an original image and selecting features to obtain a region-of-interest image; an ROM for storing template data and a plurality of region-of-interest matching modules are arranged in the FPGA; the region-of-interest images are respectively stored in the region-of-interest matching modules, each module is provided with a plurality of dual-port BRAMs, and each BRAM is respectively connected with the two matching calculation modules; all the matching calculation modules are connected with the comparison module; a single-frame region-of-interest image is divided into a plurality of sections which are respectively stored in theBRAM; and the matching calculation module is used for calculating the matching degree of the module and the corresponding section of region-of-interest image and outputting the matching metric valueof the single section of image, and the comparison module obtains the maximum/minimum value of the matching metric value in the multiple sections of images through calculation as the matching metric value of the single region-of-interest. According to the technical scheme, template matching is carried out in a parallel mode, and a result is rapidly obtained.

The invention provides an airport clearance zone obstacle detection method and device and an electronic product, and the method comprises the steps: obtaining a satellite image of an airport clearancezone, processing the satellite image, and obtaining an object image of a to-be-detected object in the airport clearance zone; processing the object image of the to-be-detected object to obtain an object shadow image; processing the object shadow image to obtain the shadow length of the object in the object shadow image; calculating the height of the object in the object image based on the shadowlength of the object in the object shadow image; and when it is determined that the calculated height of the object is greater than the airport clearance zone height threshold, determining the objectas an airport clearance zone obstacle. By means of the airport clearance zone obstacle detection method and device and the electronic product, the requirement for real-time monitoring of the airport clearance zone obstacle is met, and the airport clearance zone obstacle detection efficiency is greatly improved.

The invention discloses a smart following-type bag for students, and relates to the technical field of bags. The bag comprises a bag body, a bag shoulder strap body is fixedly connected to one side ofthe bag body, and a pressure sensor is fixedly connected to the inner side of the bag shoulder strap body; a control box is fixedly connected to the bottom of the inner wall of the bag body, a central processor and a GPS positioner are fixedly connected to the bottom of the inner wall of the control box separately, a wireless transceiver is fixedly connected to one side of the inner wall of the control box, and a danger control switch and a key are fixedly connected to the top of the control box separately. The smart following-type bag for students well solves the problem that the functions of bags are monotonous; the students who go out are tracked in real time, the requirement of parents and teachers for monitoring the going-out safety of the students in real time is well met, and therefore the purpose is achieved that the parents or teachers can receive danger signals in time when the students are in danger during going-out.

The invention discloses an access control system based on video photography. The access control system comprises a camera module used for acquiring video pictures. The access control system effectively fuses face recognition with artificial composition, can automatically open an access for a person after a face of the person in a video region is recognized and judges whether to open the access forthe person according to a monitoring picture transmitted in real time, thereby being more accurate compared with the face recognition; besides, the effect that a user acquires conditions of a deviceand updates own information can be realized, so that the access control system is anti-interference, effect of pattern recognition is better, face matching speed is increased, consumption of a networkbandwidth resource is reduced, network service quality can still be improved even if quantity of monitoring devices is increased or decreased, and real-time monitoring demand is met.

The invention discloses a device for monitoring the furnace temperature of a blast furnace, and the device comprises a first furnace temperature collection module which comprises a non-contact temperature measurement instrument and is used for collecting the furnace temperature in real time through the non-contact temperature measurement instrument to obtain non-contact temperature data; a processing module which is connected with the first furnace temperature acquisition module, acquires the non-contact temperature data, and obtains the furnace temperature of the blast furnace according to the first temperature revision parameter, the second temperature revision parameter and the non-contact temperature data; a temperature revision module which is connected with the processing module, wherein the temperature revision module is used for acquiring a first temperature revision parameter and a second temperature revision parameter, and the temperature revision module comprises a thermosensitive image acquisition unit used for acquiring a thermosensitive image in the blast furnace; an environment parameter acquisition unit which is used for acquiring environment parameters; and a working parameter acquisition unit which is used for acquiring working parameters, and obtaining a first temperature revision parameter and a second temperature revision parameter according to the thermosensitive image, the environment parameters and the working parameters.

The invention provides a monitoring method and a monitoring system based on combination of position information and video verification. The monitoring method comprises the following steps: acquiring the position information of an observation point and storing the position information to form a corresponding database; obtaining vehicle data matched with the order; based on the running track of thevehicle, obtaining observation points passed by the vehicle and corresponding timestamps of the observation points, and intercepting video data of the corresponding observation points for arrangement;and analyzing and processing the video data so as to monitor the running state of the vehicle. Based on the monitoring method, the calling of a large amount of other useless data can be reduced, andthe required data does not need to be selected from massive video data, so that the video acquisition time is saved. In addition, the process of video monitoring and/or video viewing can be further simplified, manpower and time are saved, the actual riding condition of the user passing through different observation points can be effectively judged, and the method is particularly suitable for riding standard monitoring of shared riding vehicles.