30results about How to "Realize real-time monitoring and early warning" patented technology

The invention relates to a tour-inspection robot and a system thereof. The tour-inspection robot comprises a mobile chassis and a robot body arranged on the mobile chassis, the robot body is provided with a camera pan-tilt, a gas sensor, a temperature and humidity sensor, a wireless communication module and a main control module, wherein the camera pan-tilt is used for collecting video information around the tour-inspection robot, the gas sensor is used for collecting gas information in the surrounding environment of the tour-inspection robot, the temperature and humidity sensor is used for collecting temperature and humidity information in the surrounding environment of the tour-inspection robot, the wireless communication module is used for communicating with a remote control terminal, the main control module is electrically connected with the driving module of the mobile chassis and used for sending a signal to control the mobile chassis to travel according to the tour-inspection path as planned, and the main control module is further used for receiving the video information, the gas information and the temperature and humidity information and giving off an alarm signal to the remote control terminal when the detection is abnormal. The tour-inspection robot provided by the invention has tour-inspection and abnormal detection functions, and meets the requirement for intelligent tour-inspection of a field region.

The invention discloses a system and a method for monitoring environment based on a wireless sensor and geographic information. The system comprises a wireless sensor network system and a data processing and centralized monitoring system. The method is that a sensor module on a terminal node acquires surrounding environment data and sends the surrounding environment data to a relay node; the relay node sends the data to a Sink node in a field acquisition work station; the Sink node lines up the data acquired by the terminal node and sends the data to a centralized control sub-center system, and the centralized control sub-center system monitors the environment data acquired by the terminal node in real time through a GUI human-computer interface. A centralized control sub-center sends the environment data to a centralized control center again, and the centralized control center issues geographic information system (GIS) serve information through a GIS system. The system and method for monitoring the environment based on the wireless sensor and the geographic information presents environmental parameters on the human-computer interface in a map mode, sends early warning information to a monitored region and performs real-time monitoring to a certain outdoor region environment.

The invention relates to the technical field of water quality monitoring, in particular to a water environment monitoring method based on multi-source remote sensing and machine learning, which comprises the following steps: preprocessing data of a monitoring station for researching historical water quality of a water body; processing, analyzing and fusing the multi-source historical remote sensing image of the research area to obtain multi-source historical remote sensing data; carrying out space-time fusion on the actual water quality parameters of the monitored water body and the corresponding multi-source historical remote sensing data to form a water quality inversion data set, and preprocessing the water quality inversion data set; inverting water quality parameters by using a machine learning algorithm, and preferentially selecting a water quality inversion model through performance evaluation; according to the method, compared with the prior art, real-time monitoring and early warning of water environment pollution events such as red tide in a wide area range of an offshore area are achieved, the space-time precision of remote sensing data monitoring is effectively improved, and the method has the advantages that the real-time monitoring and early warning of the water environment pollution events such as the red tide in the wide area range of the offshore area are achieved. Environmental adaptability and practicability of the model are enhanced, and offshore water environment pollution control is supported.

The invention discloses a wind control system based on big data, includes a physical layer consisting of a database server and an application server, A data source consisting of structured and unstructured data, The data storage layer is composed of MongoDB data management platform and ETL data dispatching platform, The data analysis layer is composed of data mining and data rearrangement, and theapplication layer is composed of big data wind control model and big data wind control platform, which includes the following processes: mining data, machine learning, research hypothesis, establishing big data wind control model and completing the construction of risk monitoring and early warning platform of user-oriented Internet financial platform. The utility model has the advantages of realizing real-time monitoring and early warning for Internet financial enterprises through daily automatic updating of data; Through the construction of an accurate and effective risk early warning modelof Internet financial platform, the risk status of Internet financial enterprises is presented from various angles.

The invention provides a train wheel set bearing safety monitoring system based on a self-power-supply sensing network. The system comprises an energy collection device, a wireless sensor and a data analysis center, wherein the energy collection device is used for converting vibration mechanical energy generated in a train operation process into electric energy and outputting the electric energy to the wireless sensor; the wireless sensor works through the electric energy and is used for collecting the vibration acceleration data of the wheel set bearing in the train operation process by certain frequency and sending the vibration acceleration data to the data analysis center in real time; and the data analysis center is used for carrying out real-time analysis on received train wheel setbearing real-time vibration acceleration data sent from the wireless sensor. By use of the system, the real-time monitoring early warning of a bearing operation state is realized, and an effective technical means is provided for the service safety and the health management of trains.

The invention provides a robot for an intelligent factory, and belongs to the technical field of intelligent robots. The robot solves the problems of low patrol efficiency and the like of an existingintelligent factory. The robot for the intelligent factory comprises a movable base and a body mounted on the movable base. A storage battery is arranged in the movable base. Obstacle avoidance sensors are arranged on the movable base. A control processor is arranged in the body. The control processor is used for controlling the moving of the movable base, the signal analysis judgment of the sensor and the management of the storage battery. A wireless antenna for being in communication with a remote control terminal is arranged on the movable base. A camera for acquiring video information, aninfrared temperature measuring instrument for temperature measuring, a laser radar sensor for distance and speed measurement and an alarm device for giving out an alarm are arranged on the body. The obstacle avoidance sensors, the storage battery, the wireless antenna, the infrared temperature measuring instrument, the laser radar sensor and the alarm device are all connected with the control processor. The robot for the intelligent factory has the beneficial effects of being high in patrol efficiency, good in applicability and the like.

The invention discloses a charging pile electrical power monitoring device based on a LonWorks bus. The device comprises a base, wherein an electric telescopic rod is arranged at the upper end of thebase, a mounting plate is fixedly connected to the telescopic end of the electric telescopic rod, an arc-shaped groove is arranged at the upper end of the mounting plate in a penetrating mode, a pullrod is arranged in the arc-shaped groove in a penetrating mode, a handle is arranged at the lower end of the pull rod, the upper end of the pull rod is rotationally connected with a fixing plate, a strip-shaped plate is rotationally connected to the upper end of the fixing plate, a placement groove is formed in the upper end of the strip-shaped plate, and a locking device is arranged on the side wall of the strip-shaped plate. According to the monitoring device, a control host with the adjustable angle is arranged so as to be used by different operators conveniently, by transmitting data information and abnormal alarm signals to a remote control terminal, real-time monitoring and early warning of a working area by the operators are realized, the requirement for intelligent monitoring of the field area is met, the operators are identified by adopting a mode combining facial identification and fingerprint identification, and the situation that the monitoring device is used by unauthorized personnel is avoided.

The invention discloses a method and system for measuring and calculating a gradient threshold value of a suspended holding pole in real time. The system comprises tower assembly omnibearing sensing equipment, a communication network and an intelligent cloud service terminal; a three-dimensional space of a tower assembling system is established; a lifting rope, a traction rope, a stay wire and a bearing rope are respectively provided with tension inclination angle integrated sensors, a height inclination angle integrated sensor is arranged on the top of a suspended holding pole, and the sensors are used as label nodes to collect data of each label node at any moment; and finally, on the basis of three indexes, namely pull wire tension, bearing rope tension and suspended holding pole pressure, which are related to the inclination of the suspended holding pole, the indexes are made to be not greater than the maximum value allowed by a project at any moment, so that the solved inclination of the suspended holding pole is controlled within a safe range in real time, and the threshold value of the inclination of the suspended holding pole is measured and calculated in real time. According to the method and system, the problem that the threshold value of the gradient of the suspended holding pole in the current tower assembling construction is determined only by experience of constructors and cannot dynamically change in real time according to the construction progress is solved, and the safety of the tower assembling construction is improved.

The disclosure provides a non-contact railway tunnel lining defect monitoring and early warning system and method, including monitoring equipment installed at the spandrel in the railway tunnel, and the monitoring equipment includes an ultrasonic detector and an infrared digital imager that communicate with each other The ultrasonic detector perceives the difference in the ultrasonic energy field caused by the defective disease, and converts the wave signal into an electrical signal and transmits it to the infrared digital imager, and the infrared digital imager obtains the spatial orientation information of the defective disease source according to the obtained electrical signal, Instantaneous image collection of defective diseases; this disclosure realizes real-time monitoring and remote early warning of railway tunnel lining block defects during the operation period, effectively avoids high-risk situations such as false alarms and missed alarms, and is conducive to ensuring the safety of railway tunnel operations during the operation period .

The invention provides an unattended multi-functional charging station based on the Internet of things. All intelligent devices of a station are connected in a wired or wireless mode through a charging pile Internet-of-things platform and an intelligent gateway, the functions of remote data collection and remote control domain setting are achieved, and intelligent management of the charging station under unattended guard is achieved.

The invention relates to a method and a system for monitoring water burst of a mine in real time and belongs to methods and systems for monitoring water burst of mines. The system comprises a water burst source detector, a top water baffle plate monitor, a coal layer water content monitor, a water inflow monitor, a water quality monitor, a central multi-channel data controller, a gateway, an industrial Ethernet and a monitoring host, wherein the water burst source detector, the top water baffle plate monitor, the coal layer water content monitor, the water inflow monitor and the water quality monitor are connected with an input end of the central multi-channel data controller, and an output end of the central multi-channel data controller is in communication with the monitoring host via the gateway and the industrial Ethernet. The method includes that five kinds of monitoring signals from the water brust source detector, the top water baffle plate monitor, the coal layer water content monitor, the water inflow monitor and the water quality monitor are input to the monitoring host via the central multi-channel data controller, the gateway and the industrial Ethernet, the monitoring host analyzes the received signals, completely monitors danger source and forewarning information of water burst of the mine and early warns for real-time water burst monitoring of the mine.

The invention provides a high-precision non-contact monitoring and early warning method for dangerous rock on a slope, which specifically includes the following steps: arranging monitoring instruments; calibrating a camera; The large-scale particle image velocity measurement module obtains the image of the dangerous slope of the slope; the calculation module calculates the dominant frequency of vibration and the displacement change rate of the dangerous slope of the slope according to the velocity time history and the image of the dangerous slope of the slope; monitors the vibration dominance of the dangerous slope of the slope in real time. When the frequency and displacement change rate reach the preset threshold, an early warning is issued, and the shooting frequency of the large-scale particle image velocimetry module is adjusted according to the warning information; this method is based on the large-scale particle image velocimetry technology and laser vibration measurement technology. The remote, non-contact, real-time monitoring and early warning of dangerous slope rocks is superior to the traditional monitoring methods for dangerous slope rocks, and has a good application prospect.

The invention discloses an all-weather water flow monitoring and warning system based on the Internet of things. Electricity is generated using a solar panel and a water power generation device so as to provide energy for the whole device. The water power generation device is equipped with an infrared transmitter and an infrared receiver inside. The water speed is judged by the speed of the wheel propeller. A foundation pillar is equipped with multiple water sensors to judge the water level, and is equipped with a temperature sensor and an air pressure sensor to judge the meteorological condition. The device is internally equipped with a GSM antenna, a GSM communication circuit, an SIM card, a MCU processor, an A / D converter and a memory to send data and warning information to the staff. The geographic information of multiple water flow monitoring devices and captured water flow condition data constitute an Internet-of-things system. All-weather monitoring and warning are carried out on a monitored water area.