808results about How to "Easy to monitor in real time" patented technology

The invention relates to a road network traffic condition monitoring system based on a video image processing technology, and belongs to the field of traffic engineering. Along with that video monitoring devices are added to a road network continuously, manual real-time monitoring of road network traffic conditions is difficult to carry out. The system monitors the road network traffic conditions in real time by processing video images to obtain useful information from the video images. The road network traffic condition monitoring system comprises a camera video information acquisition module, a traffic condition extraction module, a perspective shifting module, a video stitching module, a three-dimensional reconstruction module and a multi-level display module. A monitoring staff selects a road network traffic condition panoramic display mode as required to monitor the panoramic condition of road network traffic on a monitor wall, further a road section traffic video real-time display mode can be selected for a congestion area, and an animated display mode can also be selected to observe three-dimension reconstruction, panoramic stitching or vertical view of interested road sections so as to timely respond to traffic emergency situations.

The invention discloses a supercritical boiler fire coal heat value self-balance control loop distributed control system implementation method. The method comprises the steps of outputting a final coal feeder rotation speed command after PID adjustment is carried out on a received coal feed quantity command and a total coal quantity command with a heat value corrected, wherein the total coal quantity command with the heat value corrected is a total coal quantity command output by multiplying a dynamically-measured total coal feed quantity by a heat value balance correction coefficient, and the heat value balance correction coefficient is a delayed heat value balance correction coefficient. According to the method, soft measurement of a fire coal heat value can be achieved based on a unit DCS platform, additional investment is not needed, and a soft measurement signal of the fire coal heat value makes it convenient for operating personnel to monitor the quality of fired coal in real time and guides boiler combustion adjustment. A fire coal heat value self-balance control loop is designed, and therefore a unit coordinated control system has the ability to adapt to various types of coal, and the operation stability and the economy of a unit are improved.

The invention discloses a wireless sensor network based water-saving litchi orchard irrigation control system and method. The system comprises multiple sensor nodes, multiple electromagnetic valve control nodes, a gateway module, a man-machine interaction module, a network server module, a site module and a mobile terminal module; each sensor node is connected with one electromagnetic valve control node; the gateway module is connected with the man-machine interaction module through a serial port and connected with the network server module through a mobile communication network, namely the internet; the network server module is connected with a mobile-phone client module through the internet; the network server module is connected with the site module through a database. Data transmission is performed through the wireless sensor network, GPRS (general packet radio service) and the internet, real-time performance and reliability in transmission are guaranteed, environment of litchi orchards is monitored in real time, intelligent level in irrigation is improved, and loss due to the fact that managers do not notice real-time growth of litchi in time to take correct measures is avoided.

This invention discloses a data management method and a system based on SNMP protocol, in which, the method includes the following steps: designing data management nodes in SNMP MIB of the network management and NE in advance, the management sends data management control information to the NE to operate according to said information, which realizes the function of remote-controlling data of NE by SNMP by the management in the SNMP mode so that the management can manage NE in software, sending configured data, activating new configuration and backing up important data, further more, the management can receive the progress and result about data management operations from the NE.

The invention relates to a medical waste management weight verification method. The method performs weight management on medical wastes from a generation point to a final disposal point through relay nodes at various levels, weighs the medical wastes at the generation point, pastes a waste information Label, uploads initial weight information to a cloud management platform, reweighs the medical wastes during in-warehouse and out-warehouse processes at the relay points and the disposal points, and enables the cloud management platform match and verify the weight and the initial weight of the medical wastes. The method controls the entire life cycle of the medical wastes from generation to disposal, performs weight control and repeated verification in the whole process of production, storage, transportation and disposal so as to prevent leaks, enhance the safety of a closed-loop system, and eliminates opportunities for criminals to take advantage.

The invention discloses a road traffic jam ranking method and a system based on signaling data, and belongs to the urban traffic state monitoring field. The road traffic jam ranking method comprises steps that the motion track of each user in the base station network according to the signaling data is extracted; a target route most similar to the motion track of each section in the road network isacquired; a plurality of road sections of each target route divided by the switching point of the base station are acquired, and the motion speeds of all users on each road section according to the length of the road section and the switching time of the base station are acquired; the vehicle speed of the motor vehicle according to the vehicle speed threshold of each road section in the target time period is acquired in a screened way, and the average vehicle speed of the motor vehicle is calculated; the free flow speed of each road section is acquired in order to calculate the traffic jam index of each road section in a target time period; the weighted average on the traffic jam indexes of all the road sections belonging to the same road is carried out according to the length of the roadsection so as to acquire the road traffic jam index; the road traffic jam is ranked according to the road traffic jam indexes. According to the invention, the urban traffic state detection can be realized with large range and low cost.

The present invention relates to a non-traumatic fast blood sugar detection method and its detection apparatus. It is characterized by that it adopts an external heating source to heat the tested skin and deep layer tissue of human body, and utilizes a temperature monitor to dynamically monitor temperature, then the temperature change characteristic value obtained by monitoring temperature of skin and deep layer tissue of tested human body can be inputted into the non-traumatic fast blood sugar detection apparatus central chip, said central chip can be used for making comparison and analysis of said temperature change characteristic value with previously built-in related curve or correspondent relationship formula blood sugar correspondent value and making treatment so as to obtain the blood sugar value of tested human body and said blood sugar value can be displayed on the display screen of said detection apparatus.

The invention provides a multivariate time series abnormal mode prediction method and a data acquisition monitoring device. The method comprises the steps of obtaining an optimal k value of an MMOD algorithm based on historical data according to a natural neighbor principle; carrying out online expansion on the MMOD algorithm to achieve online identification of a multivariate time sequence abnormal mode; and according to an incremental fuzzy adaptive clustering algorithm, achieving conversion from the multivariate time series sub-sequence to the observation sequence, constructing a hidden Markov model based on a Baum-Welch algorithm and all the observation sequences, and achieving online prediction of the multivariate time sequence abnormal mode based on the constructed hidden Markov model. Through the multivariate time series data acquisition system of the cloud platform, related data needing to be mined can be better acquired, and real-time prediction of the abnormal mode of the multivariate time series can be achieved by utilizing an online density difference anomaly detection algorithm and a Markov prediction model algorithm. A monitoring system APP is constructed, so that real-time monitoring is facilitated.

The invention discloses an enzyme-responsive self-aggregation luminous molecule and applications thereof in monitoring enzyme activity. The enzyme-responsive self-aggregation luminous molecule is formed by connecting a hydrolase substrate to an aggregation-induced luminous molecule, and can produce aggregation and induced luminescence after hydrolyzation under the action of the hydrolase. When the enzyme-responsive self-aggregation luminous molecule is added into living cells or extracellular reaction systems containing the corresponding hydrolase, the activity level of the hydrolase can be reflected through monitoring fluorescence signals by a fluorescence microscopic technology. The enzyme-responsive self-aggregation luminous molecule can be used for long-time space-time monitoring of the activity level of the hydrolase in cells.