205results about How to "Realize security monitoring" patented technology

The invention discloses an integrated digital transfusion apparatus and a transfusion monitoring and management method thereof. The integrated digital transfusion apparatus is mainly structurally characterized in that a shell of devices including a control system, a display and the like and a transfusion tube clip and device shell are respectively fixed onto an integrated transfusion support and device shell. A touch display, a microprocessor, a microphone/speaker, a scanner, a wireless network connection device, a miniprinter, a transfusion tube, a Murphy dripper clamping groove, a finger peristaltic pump, a photoelectric droplet detection device, a pressure detector and an ultrasonic bubble detector are mounted on the integrated digital transfusion apparatus. Data acquired by different parts in the transfusion apparatus are used for mutual comparison of transfusion parameters. Software computation and simulation techniques are used during transfusion, and nurses can well know detailed transfusion conditions of each patient in transfusion by directly observing simulated transfusion bottles/bags and tubes and simulated transfusion apparatuses on software of the transfusion apparatuses and software on external computers, setting operation of various transfusion parameters, setting alarm thresholds of the various transfusion parameters and the like.

The invention discloses an elevator inner-brute force device based on image and voice recognizing technology, which comprises the following parts: video sensor, voice receiver and monitor central computer to monitor elevator, wherein the video sensor and voice receiver connects monitor center computer through wireless network equipment, which contains display mode to display real-time elevator video data, the video sensor connects monitor central computer through wireless network exchanging equipment, which is warless LAN center, the computer contains microprocessor with image reading mode, image variation calculating mode, connecting area calculating mode, judging mode in the elevator to judge whether the accident occurs.

The invention provides a visual detection method of the ice coating thickness of overhead lines. The method comprises the steps as follows: 1) dividing areas to obtain the area where the overhead line in the picture is located; and 2) carrying out statistics on the pixel number of a single row occupied by a single overhead line in the picture and converting into the thickness of ice coating according to a proportion relation. The invention requires no establishment of precise mathematical model, and can fast and automatically realize the detection of the thickness of the ice coating.

The invention discloses mobile communication equipment, a video monitoring system and a video monitoring method. The method comprises the steps that the mobile communication equipment searches a wireless network and matches the searched wireless network with a preset wireless network list; if the searched wireless network is matched with the preset wireless network list, the mobile communication equipment outputs a working stop command for closing the working function to an image pick-up device in the matched wireless network; the image pick-up device closes the working function after receiving the working stop command. By applying the mobile communication equipment, the video monitoring system and the video monitoring method, leakage of privacy information of users can be avoided and safety monitoring can be realized.

The invention discloses an intelligent traveling case and belongs to the technical field of traveling case and bag product structures. The intelligent traveling case comprises a handle, a steering mechanism, electric castors, a micro camera, a case opening detection switch and a directional antenna which are electrically connected through a control circuit, and a temperature and humidity sensor, a vibration sensor and a stress sensor which are respectively arranged in a case body. By adopting the technical scheme, the traveling case is enabled to have intelligent functions and effects such as antitheft alarming, case opening photographing, worldwide position query, case body automatic weighing, temperature and humidity automatic travel recording and automatic follow-up walking.

The invention provides an oil-gas pipeline safety monitoring early warning method and system. The method and the system are characterized in that a communication optical cable is paved around a buried pipeline (1); one of cable cores is taken as a sensing optical fiber (2); one of the cable cores is taken as a communication optical fiber (3); an optical fiber relay amplifying device (5) is arranged along the sensing optical fiber (2); the communication optical fiber (3) is connected with a detection device (6) and a data and control module (7); the data and control module (7) is used for transmitting a relay control signal of the relay amplifying device (5) through the communication optical fiber (3) to realize real-time adjustment of relay amplification; the relay amplifying device can be used for simultaneously amplifying forwardly-transmitted pulse optical waves and a backwardly-transmitted Rayleigh interference optical signal; detected front and back curves are divided with each other to filter background noise, so that the positioning accuracy is increased. By adopting the method and the system, the influence of background noise is low, detection, identification, judgment and positioning functions specific to multi-point vibration signals along a pipeline are realized, and very high detection sensitivity, positioning accuracy and different event identification accuracies are achieved.

The invention discloses a multi-target identification tracking method for a road traffic scene. According to the method, the road traffic field environment and obstacle characteristics are combined. Dynamic obstacles around a road site are detected through a laser radar. The method comprises the following steps of: firstly, preprocessing laser radar data and converting the data into a binary image, secondly, extracting a dynamic obstacle by using a background difference method, carrying out clustering analysis, further carrying out classification recognition by using a Point CNN algorithm, obtaining pose transformation of the obstacle by using an iterative nearest neighbor algorithm, and finally, carrying out tracking by using a UKF for obstacle classification. The multi-target identification tracking method provided by the invention has good real-time performance, identification precision and tracking precision, and can effectively realize safety monitoring of the road traffic scene.

The invention discloses a method for measuring the arc sag of a wire of a power transmission line based on image processing. The method comprises the following steps of: firstly, acquiring an image signal of the power transmission line through a fixed-focus camera, transmitting the acquired image signal of the power transmission line back to a monitoring center in real time in a video stream form, and capturing a digital image of the power transmission line to be monitored from the video stream by the monitoring center so as to acquire a monitored target image; secondly, preprocessing the monitored target image; and finally, calculating data of the preprocessed image, thus obtaining the arc sag of the power transmission line. In the method for measuring the arc sag of the wire of the power transmission line based on image processing, the number of used equipment is small, the structure is simple and the cost is low; an image processing technology and a wireless transmission technology can be used fully; the monitoring center can remotely process the data and globally monitor the condition of the arc sag of a power network conveniently; and furthermore, the data of the arc sag can be acquired only through image processing and simple calculation instead of a precise math model, so the method is extremely simple and convenient to implement.

The invention discloses an insulator identification detection method based on a multi-feature information fusion technology. The insulator identification detection method is specifically implemented according to the following steps: 1) utilizing a fixed focus camera which is provided with a cradle head and is installed on a field iron tower or iron pole to collect an image signal of an insulator on a power transmission line; 2) preprocessing the image collected in the step 1); 3) extracting the texture feature vector of the insulator in the preprocessed image; 4) extracting the color feature vector of an insulator to be identified, and carrying out unequal interval quantization on the HSV (Hue, Saturation, Value) color space of the insulator image collected in the step 1); 5) adopting a Hu moment algorithm in a region-based description method to extract the shape features of the insulator; and 6) carrying out fusion on three features, which are extracted in the steps 3), 4) and 5), of the insulator. By use of the method disclosed by the invention, the operation state of the insulator can be simply, reliably, quickly and automatically detected so as to avoid power system failures caused by insulator fracture.

The invention discloses an image pick-up device, a video monitoring system and a video monitoring method. The method comprises the steps that a router monitors mobile communication equipment in a wireless network to which the router belongs and the router obtains the location information of the mobile communication equipment after the mobile communication equipment is monitored; the router computes the distance to the mobile communication equipment according to the location information of the router and the obtained location information; the router outputs an image pick-up stop command to an image pick-up device connected with the router if the distance is smaller than the distance computed last time and is smaller than a first distance threshold and the image pick-up device is confirmed to be in an image pick-up state at present; the router outputs an image pick-up start command to the image pick-up device connected with the router if the distance is more than the distance computed last time and is more than a second distance threshold and the image pick-up device is confirmed not to be in an image pick-up state at present; the image pick-up device closes the image pick-up function after receiving the image pick-up stop command; the image pick-up device starts the image pick-up function after receiving the image pick-up command. By applying the image pick-up device, the video monitoring system and the video monitoring method, leakage of privacy information of users can be avoided and safety monitoring can be realized.

An intelligent wireless cabinet fire monitoring system comprises cabinet monitoring terminals of a fire detector, a fire controller, an automatic fire extinguishing device, etc. in the cabinet. The fire detector transmits detected temperature information, smoke information and fire information in the cabinet to the fire controller. The fire controller determines whether a fire disaster occurs according to the received data, and furthermore transmits a fire extinguishing instruction to the automatic fire extinguishing device for performing fire extinguishing operation. Simultaneously the fire controller stores the received data information and transmits the received data information to a monitoring host computer in a monitoring room in which the cabinet is arranged. The monitoring host computer is used for performing parameter setting, data displaying, early-warning analyzing, fire extinguishing controlling, history inquiring and decision supporting. The intelligent wireless cabinet fire monitoring system has the functions of monitoring an operation state in the cabinet in real time, intelligently determining the fire state in the cabinet, automatically performing a fire extinguishing treatment on the environment in the cabinet, and recording and storing the monitored data information from operation of the system, thereby performing intelligent prejudgement and analysis on the operation trend of the cabinet.

The invention discloses an electric transmission line conductor sag measuring method based on an angle sensor. The method comprises the steps that (1) the dip angle type angle sensor is installed so that the sag of an electric transmission line conductor can be measured; (2) after a work signal sent by a monitoring center is received by a monitoring extension set, windage yaw dip angle data of the two ends of the electric transmission line conductor are collected through the dip angle type angle sensor installed on an insulator of a site tower and the obtained windage yaw dip angle data are sequentially transmitted to the monitoring extension set and the monitoring center; (3) a sag value f of the electric transmission line conductor is calculated according to expert software embedded in the monitoring center and the windage yaw dip angle data of the electric transmission line conductor; (4) whether the sag value f is in a safe range or not is judged according to the sag value f of the electric transmission line conductor. According to the electric transmission line conductor sag measuring method based on the angle sensor, the size of the sag of the electric transmission line conductor can be rapidly detected and the overhead line accident caused by extremely large or small sag of the conductor is prevented.

The invention discloses a method for preparing cyanide-urea triamide hapten, artificial antigen and antibody as well as application thereof. The method takes 2, 4-diamino-6-chlorine-1, 3, 5-triazine as raw material which reacts with amino acid or mercaptan acid under the alkaline condition to generate the hapten containing carboxyl; then, the hapten containing carboxyl is coupled with protein by a method of active ester or mixed acid anhydride to prepare the artificial antigen. After animals are immunized by the artificial antigen, cyanide-urea triamide specific antibody can be obtained. The antibody can be used for the immunodetection of cyanide-urea triamide, so that the safe monitoring of the cyanide-urea triamide can be realized.

The invention relates to a safety monitoring system and a safety monitoring method for firework/cracker manufacturing workshops and storerooms. The safety monitoring system comprises an intelligent monitoring subsystem for the manufacturing workshops and storerooms and a processing center which are networked by virtue of a wireless sensor network (WSN); and the safety monitoring method comprises the following steps: acquiring and storing the safety parameters of the firework/cracker manufacturing workshops and storerooms; carrying out graded early warning, alarming and corresponding processing on the firework/cracker manufacturing workshops and storerooms; and carrying out statistical analysis on the safety situations of enterprises. By using the system and method provided by the invention, the overall safety monitoring on the firework/cracker manufacturing workshops and storerooms can be realized, and timely and accurate information can be provided for the graded supervision and accident emergency of the processes of manufacturing and storing fireworks and crackers implemented by management departments, thereby preventing and eliminating the occurrence of big and special vicious accidents in the processes of manufacturing and storing the fireworks and crackers, and better guaranteeing the lives and property of people.

The invention discloses an intelligent big data storage and classification platform. The big data storage and classification platform comprises a big data cloud processing platform, the big data cloudprocessing platform and a classification and storage system are in bidirectional connection, the classification and storage system and a classification and storage channel unit are in bidirectional connection, the classification and storage channel unit and the big data cloud processing platform are in bidirectional connection, the classification and storage system includes a data type identification module, a type channel classification module and a data sending module, and an output end of the data type identification module is connected to an input end of the type channel classification module. The invention relates to the technical field of big data storage. The intelligent big data storage and classification platform and a method thereof can achieve good classification and storage ofupdated new data, the purpose of facilitating the management of big data is achieved, the rapid extraction of data inside the big data is achieved, and the security of data storage is ensured, whichgreatly facilitates the classification, storage and integration work of the big data.

The invention discloses an online monitoring method for a tunnel internal pipeline. The method comprises the step that a pipeline strain monitoring portion, a pipeline and environment temperature monitoring portion, a support displacement monitoring portion, a pipe clamp pressure monitoring portion and a remote control portion are included; the pipeline strain monitoring portion is used for measuring axial strain of the pipeline; the pipeline and environment temperature monitoring portion is used for measuring running temperature of the pipeline and environment temperature inside a tunnel; the support displacement monitoring portion is used for measuring relative displacement between a support bottom plate and a tunnel ground foundation; and the pipe clamp pressure monitoring portion is used for monitoring pipe clamp pressure changes. The online monitoring method can achieve continuous monitoring of the tunnel internal pipeline and transmits safety conditions of the tunnel internal pipeline, the support and the pipe clamp to a remote analysis terminal in real time. The method facilitates engineering application, and the safety management level of a tunnel penetrating pipeline can be improved.

The embodiment of the invention provides a security protection method and apparatus based on a smart television, and belongs to the technical field of the smart television. The method comprises the flow of starting an infrared camera of a somatosensory device when a security protection function of the television is opened; if the infrared camera monitors a human body, opening an RGB (Red Green Blue) camera of the somatosensory device and acquiring human image data; and sending the image data to a designated client terminal. According to the security protection method and apparatus based on the smart television, which are provided by the invention, professional staffs are not required to carry out installation, and cost is low.

The invention provides a building bridge structure safety monitoring system based on a wireless sensor network, which comprises a wireless sensor network monitoring device, a base station device and amonitoring center, wherein the wireless sensor network monitoring device comprises a plurality of sensor nodes, and the sensor nodes monitor and sense a dangerous part of the bridge and send the obtained monitoring data of the dangerous part of the bridge to the base station device; the base station device aggregates the monitoring data of the dangerous part of the bridge sent by each sensor nodeand then forwards the monitoring data to the monitoring center after processing; and the monitoring center is used for analyzing and processing the monitoring data of the dangerous part of the bridgesent by the base station device. According to the system in the invention, the wireless sensor network technology is utilized to realize the safety monitoring of the bridge structure, and the systemis simple in structure.

The invention discloses a battery health state prediction method based on a PSO-ELM algorithm. The method comprises steps of 1, establishing a neural network model based on an extreme learning machineELM; 2, initializing parameters of the neural network model, wherein a PSO algorithm is adopted to determine a connection weight w from an input layer to a hidden layer and a threshold b of the hidden layer in the neural network model; 3, training the neural network of which the parameters are determined in the step 2 by adopting a pre-obtained training sample through the ELM algorithm till a training ending condition is met; and 4, predicting a health state of a battery by adopting the trained neural network model. The method is advantaged in that a health state of the battery can be accurately and quickly predicted, and safety monitoring of the battery can be realized; input layer parameters of the model are more accurate and reliable; the neural network model is realized by adopting the extreme learning machine (ELM) algorithm so that the repeated iteration process of a traditional training method is avoided, and the training time is reduced.

The invention belongs to the technical field of bridge monitoring equipment, specifically a multifunctional bridge safety monitoring system. The system comprises a sensor module, and the output end ofthe sensor module is electrically connected with an input node of a sensor node. An output end of an aggregation node is electrically connected with a signal input end of a signal connection line, and an output end of the signal connection line is electrically connected with an input end of a bridge monitoring base station. The output end of a data uploading module is electrically connected withan input end of a cloud server, and the input end of the cloud server is electrically connected with an output end of an expert analysis module. An output end of a Web base station is electrically connected with an input end of a wireless communication module, and an output end of the wireless communication module is electrically connected with an input end of a remote monitoring terminal. The system achieves the automatic safety monitoring of a bridge, is quick in deployment, achieves the automatic monitoring, is low in cost, and has certain application value and promotion significance.