41results about How to "To achieve the effect of real-time monitoring" patented technology

The invention discloses a panoramic picture method based on a hemisphere annular panoramic camera which includes the following steps: firstly, dividing an original image into four small areas, transforming coordinates and forming an isosceles trapezoid image; secondly, stretching the isosceles trapezoid image into a rectangular image through a bilinear transformation method. When one area is processed, corresponding relationship of coordinates can be directly applied to the rest three areas. Finally the four areas are connected from head to tail in sequence. A strip-shaped 360 DEG panoramic picture is obtained and regarded as a rectangular image capable of being accepted by human being and processed by a computer. A certain breakthrough on rapidity of algorithm is achieved. The aim is to achieve effect of real-time monitoring. Image quality is good enough to satisfy general video monitoring requirement.

The invention provides a ship target detection method based on joint training of deep learning features and visual features, which includes the following steps: sample data collection, CNN feature extraction, traditional moment invariant feature and LOMO feature extraction, feature dimension reduction, feature fusion network FCNN construction, and training the network with sample data and testingthe model with test data. Compared with the prior art, the visual feature extraction process of the invention comprehensively considers the characteristics of the ship shape, color and texture, so that the detection process is interpretable, and other features other than the traditional features can be learned in the normalized CNN back propagation process. This method is fast and efficient, highaccuracy, for complex scenes such as clouds and fog, cloudy days, rain and other circumstances still have good detection results, high robustness. Features complementary to the traditional features can be extracted, and the speed is very fast, can achieve the effect of real-time monitoring.

The invention discloses a method for computing flicker indexes on the basis of Beidou navigation. The flicker indexes are measured by amplitude flicker indexes S4T and phase flicker indexes sigma phiduring ionized layer flicker monitoring after trend of the amplitude flicker indexes S4T and trend of the phase flicker indexes sigma phi are eliminated by means of filtering. A process for computingthe amplitude flicker indexes S4T after the trend of the amplitude flicker indexes S4T is eliminated by means of filtering includes steps of A-1), computing signal strength SI; A-2), filtering the signal strength SI to obtain signal strength SI'; A-3), eliminating the tread by means of filtering to obtain the amplitude flicker indexes S4T. A process for computing the phase flicker indexes sigma phi after the trend of the phase flicker indexes sigma phi is eliminated by means of filtering includes steps of B-1), computing carrier phases phi after the trend is eliminated by means of filtering; B-2), acquiring the phase flicker indexes sigma phi. The method has the advantages that information of the signal strength SI and the carrier phases phi of satellite signals can be directly outputted,ionized layer flicker conditions can be computed by the aid of the information, and the method is convenient, simple, stable and reliable as compared with original equipment.

The invention discloses a non-invasive measurement of hemoglobin concentration based on principle of optical reflection. The method comprises the following steps: arranging a light source and a photoelectric detector; determining the relationship between absorbance and the concentrations of oxyhemoglobin and reduced hemoglobin in deep tissue; a light source emitting near-infrared incident light with wavelength lambda 1 and lambda 2, a first photodetector and a third photodetector respectively acquiring the absorbance reflected by human skin tissue; the light source emitting near-infrared incident light with wavelength lambda 1 and lambda 2, and a second photodetector and the fourth photodetector respectively acquiring the absorbance reflected by human skin tissue; by introducing the correction coefficients [omega](i) 1 and [omega] (i) 2, the concentrations of oxyhemoglobin and reduced hemoglobin in deep tissues were obtained respectively. The concentration of hemoglobin tHb in deep tissues was obtained by adding the two concentrations together. The invention realizes non-invasive measurement of hemoglobin concentration, has low measurement cost and high measurement accuracy.

The invention provides a control method and device of an intelligent device. The method includes the steps: the intelligent device, on the basis of an SIP (session initiation protocol), receives a control message, which is forwarded from a user terminal by a management server through the internet and a local area network on the basis of the SIP; the control message is analyzed; the intelligent device is controlled according to device parameters and control information in the analyzed control message; if control completion or failure is determined, a control completion message or control failure message is transmitted to the management server through the local area network and the internet on the basis of the SIP; the management server forwards the control completion message or control failure message to a user terminal through the internet and/or the mobile communication network on the basis of the SIP. The control method and device has the advantages that the user terminal can transmit the control message to the intelligent equipment more quickly and more stably, chances that the intelligent device has a delay in receiving the messages from the user terminal are slimmed, and the user terminal is allowed to control the intelligent device in real time.

The present invention discloses a host abnormality detection method and system. The method comprises: constructing a list of sensitive hosts and collecting host running resource characteristics of the sensitive hosts; using the PCA algorithm to extract main characteristics of the host running resource characteristics; using the DBSCAN algorithm to carry out cluster analysis on the main characteristics to determine whether there is an abnormality point; and finally, using the sliding window algorithm to collect statistics of the number of abnormality points in the window and determining whether the sensitive host is an abnormal host according to the number of abnormality points. According to the method disclosed by the present invention, the known and unknown host abnormal behaviors within a duration can be effectively detected, the detection efficiency is significantly improved, the resource utilization rate is reduced, and the real time detection is improved; and in addition, without training, the method is efficient and simple, the system overhead is small, and host abnormality can be detected in real time.

The invention provides a weld joint morphology monitoring method, system and device and a readable storage medium. The method comprises the following steps: welding the target welding part according to the target process parameters, and acquiring a welding joint image acquired in the welding process and temperature information corresponding to each pixel in the welding joint image to obtain a reconstructed welding joint morphology, searching a preset welding joint morphology database based on the target process parameters, and determining a target welding joint morphology corresponding to thetarget process parameters. The weld joint morphology of the target welding part is monitored by comparing the reconstructed weld joint morphology with the target weld joint morphology. According to the scheme, the weld joint morphology can be monitored in real time, and due to the fact that the reconstructed weld joint morphology in the scheme can visually reflect the weld joint morphology of thetarget welding part in an image mode, visualization of the weld joint morphology is achieved, and observation is convenient.

The invention belongs to the technical field of remote sensing data interpretation methods, in particular to a crop interpretation method based on an SAR technology. Aiming at the conditions that an optical remote sensing image cannot be used under the influence of thick cloud and other atmospheric conditions under extreme weather conditions, by a lot of experiment analysis, and by combining the high visual characteristics of the optical image and the high penetrability characteristics of the SAR image, and aiming at the condition that the optical image in a project research area is hardly used, the interpretation work such as the qualitative and quantitative interpretation of crop the types is completed through matching of the ROI features of the SAR time sequence images and the optical images, so that the problem that optical remote sensing images cannot be used under severe disaster conditions is solved, and the experiment extraction precision reaches 87.7%, the disaster conditionscan be rapidly and efficiently determined in disaster areas with severe weather conditions, and a new method is provided for accurate extraction and interpretation of crop disasters.

The invention discloses a water quality biological pollution online monitoring mechanism, and belongs to the field of water pollution detection. The water quality biological pollution online monitoring mechanism comprises a hollow vertical rod arranged at the bottom of a water body. During detection, firstly, air is filled into the hollow vertical rod; air enters a slow air cavity in the self-isolation sampling ball to extrude the false-seal sampling hemisphere, so that the false-seal sampling hemisphere expands under the action of air, the false-seal ring ball expands towards the shape under the action of air extrusion, the false-seal sampling hemisphere is through inside and outside, and water entering the sampling table enters the false-seal sampling hemisphere at the moment, and contacts with the water quality sensor for detection, in the process, sampling and detection can be combined into a whole, and compared with the prior art, the time for transporting a sample to detection equipment after sampling is effectively saved, the effect of real-time monitoring is achieved, and the monitoring efficiency and accuracy are effectively improved.

The invention relates to the technical field of car cover solar charging, and discloses an electric motorcycle new energy pure electric car solar charging system, which comprises a car cover, a main control system, a signal receiving system, a solar power-on system and an automatic telescopic car cover system, wherein the main control system is connected with a signal receiver, a signal output device and the automatic telescopic car cover system. According to the invention, firstly, the car cover is controlled to be automatically unfolded through the mobile phone APP, then the solar power-on system in the mobile phone APP is controlled, the car cover can isolate an automobile from being directly exposed to the sun, the automobile is protected, and a battery is also protected, so that in summer, a motorcycle does not need to worry about that a saddle pad scalds buttocks, an automobile does not need to worry about the conditions that a carriage is too hot and gas which is harmful to health and is volatilized due to the fact that interiors or other objects are too hot is exhausted before driving, and the problems that the automobile is quickly aged due to exposure to the sun and the service life of a battery is shortened when the automobile is charged are solved.