139results about How to "Raise the level of monitoring" patented technology

According to one embodiment of the present invention, a computer implemented method, apparatus, and computer usable program product is provided for detecting behavioral deviations in members of a cohort group. A member of a cohort group is identified. Each member of the cohort group shares a common characteristic. Ocular metadata associated with the member of the cohort group is generated in real-time. The ocular metadata describes movements of an eye of the member of the cohort group. The ocular metadata is analyzed to identify patterns of ocular movements. In response to the patterns of ocular movements indicating behavioral deviations in the member of the cohort group, the member of the cohort group is identified as a person of interest. A person of interest may be subjected to an increased level of monitoring and / or other security measures.

The present invention is generally directed to a tracking and visibility system of a kind that augments aspects of traditional tracking systems by implementing mechanisms for independently detecting and verifying the whereabouts of particular objects moving through a carrier's logistics network. These mechanisms are preferably implemented without having to alter the outward appearance or manner in which such objects would otherwise be shipped. At a high level, the present invention accomplishes this by providing a comprehensive tracking system that includes at least two levels of tracking, one of which involves physically associating a wireless device with an object to be tracked, the wireless device being configured to transmit a signal that can be used to independently detect and verify the location of the particular object as it moves through the carrier's logistics network.

The invention discloses an SCADA (supervisory control and data acquisition) temperature parameter based wind turbine set security evaluation method and belongs to the technical field of equipment security evaluation. The wind turbine set security evaluation method includes: firstly, deciding on an SCADA temperature parameter; then analyzing temperature parameters related to system faults of a wind turbine set, structuring relatedness between operating conditions of the environment temperature as well as wind speed and the SCADA temperature parameter, determining a standard for division of wind turbine set operating conditions, and establishing a standard Gaussian model serving as a reference model for evaluation of the wind turbine set operating conditions; calculating degree of deviation between a curve and the standard model through comparing the standard model with the Gaussian model, and measuring the operating condition of the wind turbine set. By the application of the wind turbine set security evaluation method, monitoring level upon the wind turbine set can be improved, utilization rate of the wind turbine set can be increased, and operation cost can be effectively lowered; a reliable and effective wind turbine set security evaluation mechanism is established, so that deterioration of hidden trouble of the wind turbine set towards faults and accidents is avoided, and an operation circumstance which is secure, stable and efficient is formed for the wind turbine set.

The invention relates to a rapid width measurement system for tobacco shreds, which is mainly composed of an image filtering and region segmentation unit, a subimage contour extraction unit and a single tobacco shred width calculation unit. By using the advanced computer technology, image recognition technology and real-time digital image processing technology, the invention can realize the rapidand accurate width measurement of a large number of tobacco shreds. By using the invention, multiple tobacco shreds can be measured in one step, and the average width and variability of each tobacco shred can be rapidly and accurately calculated. The invention has the characteristics of simplified equipment structure, accurate width measurement of tobacco shreds and high measurement efficiency.

The invention discloses a crop growth monitoring platform based on the Internet of Things. The monitoring platform comprises N remote data acquiring sites, at least one remote data sending terminal, a remote data storage server, a crop growth monitoring center and a monitoring data browsing terminal, wherein N is the natural number greater than and equal to 1; each remote data acquiring site is connected with the remote data sending terminal in a wire or wireless way; the remote data sending terminal is used for uploading the environment information data of the crop growth acquired by the remote data acquiring site to the remote data storage server; the remote data storage server is respectively communicated with the crop growth monitoring center and the monitoring data browsing terminal; the monitoring platform is used for uploading and feeding back the environment information data by networking in a single-hop or multi-hop way.

The invention discloses an intelligent remote security monitoring system for an offshore wind generating set. The system comprises a plurality of groups of cameras, a plurality of access layer switches and a main control room, wherein a plurality of access layer switches and a plurality of groups of cameras are arranged on a plurality of fans; the cameras are connected with the access layer switches; the access layer switches are connected with the Ethernet of a wind power farm through local area networks in the fans and connected to the main control room through a local area network in the main control room; and the main control room comprises a core switch and a memory, a server and a display which are connected with the core switch. By the system, five cameras are arranged on a single fan, and the real-time video monitoring and control of the whole offshore wind power project is realized in the main control room, so that the security protection and monitoring levels of the offshore wind generating set are improved.

A method for integrating image monitoring with an integration automation background of an electric power system adopts a structure composed of a client and a video transit server; a video client comprises an image monitoring plugin embedded in a picture and the client based on an independent process window and is in charge of displaying images and receiving mouse events to transmit various control commands to the transit server; the client receives video of the server and displays images so as to accomplish the linkage relation between state changes of video images and monitored equipment; the video transit server is in charge of receiving video command information and image requests from the client, forwarding the control commands to a control camera of an image monitoring system, and establishing corresponding service function aiming at the image monitoring requests; and the video transit server receives image information from a video server and forwards the information to all video clients. The method provided by the invention enables operating personnel of the electric power system to know the appearance state and the position information of primary equipment and secondary equipment in the field of a transformer station.

The invention provides a logistics management system based on an internet of things. The system comprises an article naming service module, an RFID electronic tag printer, an electronic coding feedback module and a logistics management center based on a browser / server structure. The components above can be mutually connected through communication modules capable of communicating in the internet of things, and realize mutual exchange of data information. The technology of internet of things is applied to each component module of the logistics management system, so that the component modules can be networked conveniently, convenient and quick information exchange is realized, and degree of automation is high. Through a multi-technology and multi-means mode, seamless monitoring of the whole process is realized; and indoor and outdoor positions of each article as well as environment parameters of the environment, where the article locates at present, are monitored, so that a user can know the current state of the article in real time, and takes necessary measures for the article as needed according to the current state of the article.

The invention discloses a coal dust image identification method. The method comprises steps that 1, a fuzzy-rough set based on multi-attribute reduction is adopted to segment a coal dust image; 2, an image processor calls a binary image processing module to carry out binarization processing of the coal dust image, a coal dust binary image is obtained, and a target area in the coal dust binary image is labeled as 1 and a background area in the coal dust binary image is labeled as 0; and 3, an improved differential evolutionary particle swarm optimization algorithm is adopted to carry out coal dust overlap particle separation of the coal dust image, and coal dust particles are identified. The steps are simple, the design is novel and reasonable, the implementation is convenient, the precision of coal dust overlap particle identification is improved, the effectiveness and the robustness are good, the adaptability is strong, the usage is flexible and convenient, the practicality is strong, the use effect is good, and the popularization and application value is high.

The present invention discloses a fuzzy rough set coal dust image segmentation method based on multiple attribute reduction. The method comprises the steps: 1. determining the fuzzy type membership degree; 2. determining the fuzzy attribute reduction, and obtaining the coal dust image removing redundancy attributes; 3. calling a segmentation threshold determination module through an image processor and determining the threshold value for performing coal dust image segmentation according to the maximum entropy threshold value determination method; and 4. comparing the gray value of each pixel in the coal dust image segmentation removing the redundancy attributes with the threshold value for performing coal dust image segmentation through the image processor, and dividing the pixels which have the gray values are larger than the threshold value for performing coal dust image segmentation into target areas, and dividing the pixel which have the gray values are smaller than or equal to the threshold value for performing coal dust image segmentation into background areas. The method steps are simple, the efficiency and the precision of the coal dust image segmentation are improved, the effectiveness and the robustness are good, the usage is flexible and convenient, the expandability is good, and the popularization application value is high.

The invention discloses an interactive user electricity consumption abnormity monitoring and early warning management cloud platform based on cloud computing. The invention comprises a residential user number statistics module, a user historical age limit electricity consumption collection module, a user historical age limit average electricity consumption statistics module, a user current electricity consumption collection module, a current electricity consumption abnormality identification module, an abnormality early warning module, an abnormality fault analysis module and a fault display terminal. Current month ammeter metering data acquisition is carried out on each user, so that abnormity monitoring is carried out on the current month ammeter metering data of each user to obtain an abnormal electricity utilization user, abnormity early warning and abnormal fault analysis are carried out on the abnormal electricity utilization user, and an abnormal fault reason of each abnormal electricity utilization user is obtained. According to the invention, the defect that the function of the current user ammeter metering abnormality monitoring mode is single is overcome, the monitoring function of the user ammeter metering abnormality is expanded, and the current comprehensive intelligent monitoring requirement of the user ammeter metering abnormality is met.

The invention discloses a rapid measuring device of width of a tobacco shred. The rapid measuring device of the width of the tobacco shred comprises a workpiece platform system, an illuminating system, an imaging system, a control system and a computer system. An LED (Light Emitting Diode) illuminating system irradiates on a tobacco shred bearing case which achieves the collection of images under the driving of a stepping motor. A computer achieves the image processing. The rapid measuring device of the width of the tobacco shred has the advantages of being compact in structure, high in degree of automation, accurate in computing and applied to high-precision measure of the width of the tobacco shred.

The invention discloses a forest fire prevention video monitoring system, and the system comprises a monitoring center which comprises a main control server, a matrix server, an alarm server, and a geographic information server; a monitoring point; a coding module; a temperature sensor; a smoke sensor; an omnibearing holder; and a camera. The temperature sensor and the smoke sensor are sleeved by a protection cover. The protection cover comprises a pedestal, a cover, an air incoming dustproof assembly, and an air discharge rainproof assembly. The system can monitor and find fire effectively in real time, and can effectively guide the fire extinguishing action. The protection cover guarantees and prolongs the service lives of all temperature sensors and smoke sensors in a forest region.

The invention provides a visual monitoring method for concentration of SF6 gas in a GIS (gas insulated substation) chamber. The method comprises the following steps: collecting the SF6 gas concentration through multiple groups of preset monitoring sites in the GIS chamber, wherein each group includes eight monitoring sites, and the eight monitoring sites in each group form a cubic monitoring region; calculating each cubic SF6 gas concentration distribution field according to the SF6 gas concentration of each monitoring site; expanding each cubic SF6 gas concentration distribution field to fill the whole GIS chamber so as to obtain the SF6 gas concentration distribution field of the GIS chamber; monitoring the concentration of SF6 gas in the GIS chamber according to the concentration distribution field of SF6 gas in the GIS chamber. The invention further provides a visual monitoring system which can be used for comprehensively monitoring the concentration of SF6 gas in the whole GIS chamber and is high in accuracy.

The invention discloses a remote monitoring system for an offshore wind turbine generator. The remote monitoring system comprises a wind turbine generator data acquisition sub-station, a video monitoring sub-station, a data transmission unit and a remote cloud center, wherein the wind turbine generator data acquisition sub-station comprises a controller, a blower fan current detection module, a blower fan temperature detection module, a blower fan vibration detection module, a wind force transducer, a remote start / stop apparatus and an overload protection device, the video monitoring sub-station comprises a plurality of cameras and a plurality of video servers for processing the image obtained by the cameras, and the data transmission unit comprises a ZigBee wireless transmit-receive module, a signal gathering device and a GPRS wireless module. The remote monitoring system is simple in structure, convenient for installation and laying. Comprehensive monitoring of an offshore wind turbine generator can be realized through a wireless network, managers can timely know the operation states of a blower fan, and potential fault can be timely discovered and pre-warned. Safety protection and monitoring level for the offshore wind turbine generator is improved.

The invention provides a communication cable circuit detection system comprising a monitoring station, a light source station and a monitoring center, wherein the monitoring station comprises a main control unit, an optical power monitoring unit, a cable fault detection unit, a wave combination and splitting unit, an optical switch and a remote positioning unit; the light source station is provided with a light emitting unit and an optical processing unit; the monitoring center, the optical power monitoring unit, the optical switch and the cable fault detection unit are separately in communication connection with the main control unit; the cable fault detection unit, the optical power monitoring unit, the optical processing unit and the wave combining and splitting unit are connected via optical fibers; the optical switch is arranged between the cable fault detection unit and the wave combining and splitting unit; the optical switch is configured to switch test light emitted by the cable fault detection unit in real time; and the wave combining and splitting unit is configured to perform partial wave combination on monitoring light received by the optical power monitoring unit andthe test light emitted by the cable fault detection unit.

The invention discloses a method for rapidly detecting biogenic amine by thin layer chromatography in one step and belongs to the technical field of food analysis and safety. The method disclosed by the invention comprises the following steps: (1) preparing an activated silica gel; (2) preparing an activated thin layer chromatography plate; and (3) analyzing the thin layer chromatography in the biogenic amine in a food sample. The method for rapidly detecting biogenic amine by thin layer chromatography in one step, disclosed by the invention, can be used for rapidly measuring the content of biogenic amine in products such as aquatic products, meat, diary products, pickled vegetables, spirits and esters. Compared with other analytical methods, according to the method, a derivating agent is directly fixed on a medium during activation, and the extracted and purified sample needs not to be derived, is diluted to a calibrated range and can be directly dispensed to be expanded for measurement; moreover, no expensive analytical instruments are required, so that the method is low in expense and simple and rapid to operate, and can effectively lower the monitoring cost in food production and circulation.

The invention discloses an intelligent patrol system for a communication device. The intelligent patrol system comprises a two-dimension code label and a handheld patrol instrument, wherein patrol system management software is mounted in the handheld patrol instrument, the two-dimension code label is arranged on each communication device, the two-dimension code label comprises two regions, namely a two-dimension code region on the left and an equipment information bar on the right, unchangeable information of the device is complied into two-dimension code information, and the information recorded in the equipment information bar comprises relevant paper data of various electric power telecommunication equipment. According to the intelligent patrol system for the communication device, the two-dimension code label is arranged on the communication device, the two-dimension code label has the two regions for recording changeable information and unchangeable information, wherein the changeable information is formed in a way that relevant paper data of various electric power telecommunication equipment is electronically, visually and intelligently managed, so that relevant personnel can rapidly and accurately take and check information including model, function, operation and the like of needed equipment.

The invention provides a system for on-line monitoring abnormal vibration of a GIS equipment isolating switch. The system comprises a signal acquisition unit formed by a piezoelectric type accelerometer and a current transformer, an equipment terminal signal processing unit formed by a filtering amplification module, a high-speed AD sampling module, a DSP module, an ARM processor module, a communication module and a power supply module, a sensor disconnecting-prevention unit formed by a connection board, a connecting fixing member, a copper sheet, a controller and a piezoelectric transducer, a background monitoring server and a human-machine interface. During use, the signal acquisition unit acquires vibration and current signals and sends the vibration and current signals to the equipment terminal signal processing unit for processing, the equipment terminal signal processing unit sends preprocessed information to the background monitoring server for monitoring and determining, and the sensor disconnecting-prevention unit assists in fixing the piezoelectric type accelerometer and gives off an alarm when the piezoelectric type accelerometer falls off. The system has the advantages of simple structure and easy realization and ensures timely fault discovering, rapid response and highly-reliable operation during use.

The invention provides an agricultural product cold chain storage transport fine control modeling and optimizing method. The modeling method is characterized in that data information such as temperature factor, humidity factor, and gas concentration factor of a cold storage chamber can be acquired in a preset time; according to the acquired data information such as the temperature factor, the humidity factor, and the gas concentration factor, the response curves of the temperature, the humidity, and the gas concentration can be acquired, the per unit curves converted according to the corresponding curves can be acquired; the cold chain control models corresponding to the factors can be acquired according to the response curves and the per unit response curves; the cold chain fine control coupling models can be acquired according to the cold chain control models corresponding to the factors; the data information such as the temperature factor, the humidity factor, and the gas concentration factor of the cold storage chamber can be acquired in a real-time manner; according to the data information such as the temperature factor, the humidity factor, and the gas concentration factor of the cold storage chamber, which can be acquired in a real-timed manner, the output control signals of the factors can be acquired by adopting the cold chain fine control coupling models to change the frequency conversion refrigerator rotating speed, the electric humidification water valve opening degree, and the electric air control valve opening degree.

The invention discloses a detection method of Guwei collaterals-activating tincture. A method for effectively detecting main drugs of the Guwei collaterals-activating tincture is added in the prior production process so that the main drug components of the finished production of the Guwei collaterals-activating tincture can be ensured relatively, thereby the monitoring level of the product quality is greatly improved. The invention is not only convenient for the product monitoring of manufacturers and management departments, but also can provide better guarantees for medical departments and the treatment of patients.

The present invention discloses a forest fireproof and antitheft video monitoring system. The system comprises: a monitoring center consisting of a master control server, a matrix server, an alarm server and a geographic information server; a monitoring point consisting of a temperature sensor, a smog sensor, an antitheft sound source detector, an omnibearing holder and a camera; and a shield consisting of a pedestal, a cover casing, an air intake dustproof assembly, an air exhaust assembly and a power supply. The forest fireproof and antitheft video monitoring system can effectively monitor and discover fire in real time through temperature sensors and smog sensors, can monitor the condition of felling trees unlawfully in the forest through an antitheft sound source detector in real time and effectively guide fire extinguishing or preventing from felling trees unlawfully, and a shield can ensure and prolong the service life of each temperature sensor and each smog sensor in the forest.

The invention relates to the field of communication technology and discloses a wireless network detecting method and device. The wireless network detecting method comprises that a server receives first measurement parameters obtained by scanning a wireless terminal through an AP (access point) as well as second measurement parameters obtained by scanning an AP adjacent to the AP through the AP; according to N the first measurement parameters and / or M the second measurement parameters received within a first preset time period, the server determines and outputs the wireless network coverage quality, the type of interference and the fault service, which correspond to the AP, wherein N and M are integers greater than 1. According to the technical scheme above, according to the N first measurement parameters and / or the M second measurement parameters, the wireless network coverage condition, the type of interference and the fault service, which correspond to the AP, so that the technical problem that optimal detection of wireless networks in the prior cannot accurately reflect wireless network coverage quality.

The invention discloses multiple PCR detection primer groups for a dairy cow mammitis pathogenic bacterium and application of the multiple PCR detection primer groups. The detection primer groups comprise an upstream primer sip-F-1 and a downstream primer sip-R-1 which are used for detecting streptococcus agalactiae sip genes, an upstream primer isp-F-1 and a downstream primer isp-R-1 which are used for detecting streptococcus dysgalactiae isp genes, an upstream primer pauA-F-1 and a downstream primer pauA-R-1 which are used for detecting streptococcus uberis pauA genes, and an upstream primer nuc-F-1 and a downstream primer nuc-R-1 which are used for detecting staphylococcus aureus nuc genes. According to the application, the primer groups are applied to multiple PCR detection methods for the dairy cow mammitis pathogenic bacterium; and the method is short in detection time, low in cost, high in specificity and simple in result determination.

The invention discloses an intersection traffic state parameter estimation method and system based on multi-source data. The method comprises the following steps: building a vehicle delay model according to a traffic wave theory, and building a vehicle travel time model of a flow direction level according to the speed distribution characteristics of a vehicle; enabling a fixed-point detector to detect and obtain the flow of the road section entrance, and determining the number of vehicles arriving at the road section entrance; determining a traffic flow steering ratio of a road section by setting a virtual travel line according to a vehicle track acquired by a mobile detector; determining Bayesian networks of different flow directions according to the vehicle travel time model, the number of arrival vehicles and the traffic flow steering ratio; and solving the Bayesian network and determining the maximum queuing length and the average travel time of the vehicles in different flow directions. According to the embodiment of the invention, the vehicle track data and the fixed-point detector data are combined, and the parameter estimation method fusing the traffic wave theory and statistical analysis is established, so that the accuracy of traffic state parameter estimation is effectively improved.

The invention provides an agricultural environment monitoring system based on big data, and the system comprises an environment sampling module which carries out the collection of all-region agricultural environment data at a T moment, and stores the data to a big data cloud server; a big data matching module which obtains the all-region agricultural environment data of the big data cloud server, matches the all-region agricultural environment data with the sample data one by one, obtains the difference condition of the all-region agricultural environment data and the sample data, and divides a sub-region according to the difference condition; an environment modeling module which constructs a regional environment model according to the agricultural environment data in the sub-region; and a quality monitoring analysis module which inputs the sub-region agricultural environment data at the T+1 moment into the current regional environment model to obtain an environment regulation and control instruction at the T+1 moment. According to the invention, the zoning monitoring of a all-region agricultural environment is realized, grading modeling prediction can be carried out on soil and crop growth conditions in real time, and the automation degree of farmland monitoring and zoning management and control precision are improved.

The invention discloses an industrial park management method and an application thereof. The industrial park management method has a control platform, and the control platform displays a model of a park and a radiation range thereof; the park includes at least one sub-area; the model of the park and the radiation range thereof is divided and displayed according to points, lines, planes and domains; the points are monitoring points in the park, the lines are boundaries of the sub-areas, the plane is the park, and the domain is the radiation range of the park; and the points, lines, the plane and the domain are centrally monitored through the control platform. The industrial park management method of the present invention is used for monitoring industrial parks, and solves the problem that the monitoring devices miss detection in the prior art, and the problem that an accident in the vicinity of the park cannot be detected and processed in time.

The invention discloses a method for monitoring a service bus of a power system. The method comprises the following steps of: configuring and assigning one or more monitoring center nodes and server nodes of the system in a dispatching system; after the service of each server node is started, reporting current service monitoring information to the corresponding monitoring center node at set intervals; each monitoring center node organizing and storing the monitoring information of each server node received in the system, obtaining visual service monitoring information data through statistical analysis, and synchronizing the visual service monitoring information data to each server node; each node visually displaying each piece of service monitoring information through a display interface, and being capable of displaying the monitoring information as required based on input parameters. According to the method, the service operation condition can be visually observed, effective data is provided for troubleshooting, the troubleshooting speed of the system is increased, the process monitoring level is improved, and comprehensive and visual state information is provided for data transmission and interaction of the power grid regulation and control system.

The invention is an engine maintaining alarm apparatus, belonging to the engine maintaining technique. And it comprises MCU, MCU-connected vibration sensor detecting circuit, storage circuit, system clock circuit, power supply circuit, liquid display circuit, communication circuit, voice circuit, keyboard circuit and short message alarm circuit. And it can automatically prompt people to maintain engines according to the working hours of the engines without changing the original mechanical circuits to ensure the mechanical performance is not interfered and destroyed, and can real-timely monitor the operating states of the engines to remove hidden peril of the accident and prolong the engine service life.