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

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 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 discloses an environmental risk preventing and controlling and contaminated site repair method for a gasoline station. The method comprises a daily monitoring pre-warning system of the gasoline station for realizing online monitoring of soil and underground water; a site environment characteristic analyzing system for realizing comprehensive site environment investigation and accumulating related parameters such as hydrogeological parameters for a 3D building design; a 3D model design system for site monitoring and risk estimation, defining the boundary and contamination degree of the site contamination by simulating a relocation diffusion process of contaminants in soil and an underwater medium and realizing three-dimensional visualization; and a contaminated site ecological repair system for realizing precise injection of a repair agent and degrading the contaminants in soil and underground water to achieve a set repair target by virtue of a 3D model design result by using an in-situ biological method. The method disclosed by the invention has the beneficial effects that the environmental risk of soil and underground water of the gasoline station is monitored and pre-warned in real time, site risk is estimated and the contaminated site is ecologically repaired.

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 discloses a conveyor belt longitudinal tear detecting method based on metal film diffuse reflection, and belongs to the technical field of conveyor belt online detection of coal mine enterprises. The conveyor belt longitudinal tear detecting method is characterized by being a detecting method for conveyor belt longitudinal tear by utilizing a physical property that infrared-ray reflectance of the metal film is 5 times that of a black adhesive tape and combining an infrared-ray CCD (charge coupled device) camera image detecting technology of a metal film. Infrared rays emitted by an area array infrared-ray light source used by the method cover half of the area of an adhesive tape; after the infrared rays generate diffuse radiation on the outer surface of a frosted metal tin film, one part of reflection signals are received by a CCD camera so as to draw out a surface condition figure of the half of the adhesive tape; by virtue of the design, less normal hardware equipment is utilized to realize wide-range and highly-real-time longitudinal tear early warning of a conveyor adhesive tape, so that purchasing and operation cost of the equipment is controlled within an acceptable range of the enterprises, and a misjudgment rate of an image analysis system to the adhesive tape outer surface state can be controlled to be lower than 10%.

The invention provides a dangerous source identification method and system and a readable storage medium, and the method comprises the steps: obtaining dangerous source data, so as to build a to-be-classified data set; selecting certain dangerous source data from the dangerous source data of each category in the to-be-classified data set as target dangerous source data, and judging whether the target dangerous source data is a dangerous source core point or not; screening out all dangerous source data from the to-be-classified data set, wherein the distance between the dangerous source data and the target dangerous source data is smaller than or equal to a preset neighborhood radius; if the dangerous source data which do not belong to any clustering cluster exist, taking the dangerous source data which do not belong to any clustering cluster as abnormal dangerous source data, and judging whether the corresponding position of the dangerous source data is a dangerous source leakage pointor not according to the relationship between the abnormal dangerous source data and a corresponding early warning value; therefore, the dangerous source accuracy is improved, and the false alarm probability is reduced.

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.

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 discloses a gas cylinder volume detection method and system based on a 3D vision technology, and the method comprises the steps: placing a tested gas cylinder in a field of view, and carrying out the information collection of the tested gas cylinder; processing the collected information to obtain first information; judging whether the first information is correct or not, and if not,returning to adjust parameters and restarting; if the first information is correct, carrying out a water pressure test, and obtaining second information of the tested gas cylinder in a pressurized state and third information of the tested gas cylinder after pressure relief; and calculating volume parameters of the tested gas cylinder according to the second information and the third information. Through a non-contact means, the change of the outer wall size of the gas cylinder in a hydrostatic test is calculated in real time in detail, so that parameters such as volume elastic deformation andvolume residual deformation are obtained, the steel cylinder cannot be damaged, multiple groups of gas cylinders can be measured at the same time, the system has the advantages of high speed, simplicity and convenience in operation and the like, and the real-time monitoring and early warning of the quality state of the gas cylinder are realized.

The invention discloses a wheel type explosion-proof inspection robot and a wheel type explosion-proof inspection robot system. The wheel type explosion-proof inspection robot comprises a chassis, anexplosion-proof drive mechanism and an explosion-proof robot body, wherein the explosion-proof drive mechanism is connected with wheels, is installed below the chassis, comprises an explosion-proof housing component, is enclosed by an explosion-proof surface formed by the explosion-proof housing component and is used for driving the wheels to rotate; the explosion-proof robot body is installed onthe chassis and comprises an explosion-proof box and an explosion-proof box cover; a control component and a battery component are arranged inside the explosion-proof box; the control component is used for controlling the explosion-proof drive mechanism to work according to a planned inspection route; and the battery component is used for supplying power to the wheel type explosion-proof inspection robot. The wheel type explosion-proof inspection robot system comprises a remote-control terminal and at least one wheel type explosion-proof inspection robot which communicates with the remote control terminal. The wheel type explosion-proof inspection robot disclosed by the invention is applicable to inspection and monitoring work of inflammable, explosive, toxic, anoxic and dense smoke petrochemical sites and the like.

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 provides an internet-of-things modular electric energy meter capable of meeting temperature monitoring of a terminal block, which comprises a metering core mainboard, a management core mainboard, an expansion module and a communication module, wherein the metering core mainboard is provided with a metering module, the metering module comprises an MCU module, a voltage and current sampling module, a battery, a super capacitor, an RTC clock module, an ESAM module, a storage module, a pulse signal module and a power supply module, the management core mainboard is provided with a management module, and the management module comprises an MCU module, a terminal temperature measurement module, a key, an ESAM module, a liquid crystal display screen, a backlight module, a Bluetooth module and a storage module. The metering function can be independent, the metering core and the management core are in a separated state, once software or hardware faults occur, the troubleshooting time can be greatly shortened, the faults can be positioned more accurately, the faulted core can be directly replaced with the core with the normal function, and the plug-and-play effect is achieved.

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 invention provides a non-contact railway tunnel lining defect disease monitoring and early warning system and method. The non-contact railway tunnel lining defect disease monitoring and early warning system comprises monitoring equipment arranged at an arch shoulder in a railway tunnel, and the monitoring equipment comprises an ultrasonic detector and an infrared digital imager which communicate with each other; the ultrasonic detector senses ultrasonic energy field difference caused by defective diseases, converts wave signals into electric signals and transmits the electric signals to the infrared digital imager; and the infrared digital imager acquires spatial orientation information of a defective disease source according to the acquired electric signals and performs instantaneousimage acquisition on the defective diseases. According to the non-contact railway tunnel lining defect disease monitoring and early warning system and method, real-time monitoring and remote early warning of the railway tunnel lining chipping damage in the operation period are achieved, high-risk situations such as false alarm and missing alarm are effectively avoided, and the operation safety ofthe railway tunnel in the operation period is guaranteed.

The invention provides a vehicle safety early warning method, a big data platform analysis device, a vehicle-mounted terminal, a computer storage medium and a vehicle. The method comprises the following steps: acquiring fault alarm operation data; determining a fault type according to the fault alarm operation data and a vehicle early warning model; generating fault early warning information according to the fault type; and sending the fault early warning information to an early warning management end corresponding to the fault type. According to the vehicle safety early warning method provided by the embodiment of the invention, analysis is carried out through operation of big data, pre-judgment and early warning are carried out on faults in advance, a user is guided to carry out rescue and fault analysis, and maintenance personnel are helped to accurately position the faults and maintenance strategies when the faults occur, so that the contradiction between a vehicle owner and a maintenance manufacturer is reduced, and the user experience is improved.

The invention provides visual automatic monitoring equipment for a power dispatching operation order. The visual automatic monitoring equipment comprises an information acquisition module, an information verification module and a visual monitoring module. The invention also provides an electric power dispatching operation order visualization automatic monitoring method comprising the following steps: S1, obtaining operation order information data, and determining whether the operation order is a work order or not; S2, performing verification processing on the received operation ticket information data, and inserting the information data after successful verification processing into a visual monitoring page; S3, checking whether the information data exceeds a set threshold value or not under the visual monitoring page, if yes, sending out alarm information, and if not, ending. According to the invention, import and export of information data can be completed quickly, cross-system real-time valuing, data dynamic display and monitoring real-time early warning are realized, the working efficiency is greatly improved, the alarm time limit is set, alarm information is sent out in time, smooth development of work can be effectively promoted, the working efficiency is improved, the working time is shortened, and the user satisfaction is further improved.

The invention relates to an icing galloping integrated monitoring system. In the system, an icing galloping data linkage APP is connected with an image acquisition module, an icing image detection module, a galloping alarm module and an online energy taking module; the icing galloping data linkage APP sends a picture, collected by the image collection module, of the power transmission line wire to the icing image detection module; a temperature and humidity sensor and a lens glass heating assembly are arranged in the image acquisition module; the icing image detection module determines the icing thickness of the power transmission line wire according to the picture; the galloping alarm module collects galloping data of the transmission line conductor, determines a galloping characteristic quantity according to the galloping data, and triggers a galloping alarm signal when the galloping characteristic quantity exceeds a galloping set threshold value; meanwhile, the galloping characteristic quantity is sent to an icing galloping data linkage APP; and the icing galloping data linkage APP performs monitoring and uploading according to the icing thickness and the galloping characteristic quantity. According to the invention, real-time monitoring and early warning of the icing galloping phenomenon of the power transmission line are realized.

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 all-optical network safety monitoring system for a fully mechanized coal mining face, and the system comprises a plurality of support controllers which are disposed on hydraulic supports; the sensor assemblies are arranged on the hydraulic supports, and the sensor assemblies are connected with the support controller through an all-optical network; the alarm devices are arranged on the wearable device, and the alarm devices are connected with the support controller through an all-optical network; compared with the prior art, the system has the advantages that through connection of the all-optical network, communication between the controller body and the sensor assembly, the alarm device, the mobile equipment and the like is achieved; terminal information acquisition, alarm information sending, change trend display and the like of the support controller are guaranteed, and real-time monitoring and early warning of the fully mechanized coal mining face are achieved.

The invention discloses particulate matter and noise pollution management equipment for construction engineering construction, the equipment comprises a box body, a door frame of the box body is hinged to a box door through hinges, an LED display screen and a handle are mounted on the front surface of the box door, and a PLC, an electric hydraulic cylinder, an information memory and a storage battery are mounted in the box body; a center rod is fixedly connected to the telescopic end of the electric hydraulic cylinder, a supporting base is clamped in the middle of the center rod, fixing rods are fixedly connected to the two sides of the top end of the center rod, the outer ends of the fixing rods are movably connected with connecting rods, connecting blocks at the bottoms of the outer ends of the connecting rods are movably connected with the supporting base through inclined rods, and a particulate matter detector and a noise detector are installed at the outer ends of the two connecting rods respectively. When the equipment is used, the monitoring equipment can be protected to a certain extent through the electric hydraulic cylinder and the connecting rod and connecting shaft assembly; the environment pollution conditions of dust particles, noise and the like of the construction site can be monitored, and monitoring data can be accurately displayed on the display screen.

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 provides a high-precision non-contact slope dangerous rock monitoring and early warning method. The high-precision non-contact slope dangerous rock monitoring and early warning method specifically comprises the following steps of arranging a monitoring instrument; carrying out camera calibration; starting a vibration measurement module to obtain a speed time history of the surface of the slope dangerous rock; starting a large-scale particle image velocity measurement module to obtain a slope dangerous rock image; the calculation module calculating the vibration dominant frequency and the displacement change rate of the slope dangerous rock according to the speed time history and the slope dangerous rock image; the vibration dominant frequency and the displacement change rate of the slope dangerous rock being monitored in real time, when the vibration dominant frequency and the displacement change rate reach preset threshold values, early warning being given out, and the shooting frequency of the large-scale particle image velocity measurement module being adjusted according to the early warning information. The method is based on a large-scale particle image velocity measurement technology and a laser vibration measurement technology, realizes remote, non-contact and real-time monitoring and early warning of the slope dangerous rock, is superior to a traditional slope dangerous rock monitoring method, and has a good application prospect.

The invention discloses a multifunctional electroacoustic communication device and a use method. Comprising a microcontroller, a key module, a poison gas sensor array, a voice prompt module, a Bluetooth audio module, a pickup, a power amplification module, a miniature loudspeaker, a communication main cavity, a power module, a battery, a battery bin, a sensor assembly cavity, an assembly plate, a charging interface, an expiration cavity, a sound amplification port and a positioning module. While sound amplification is completed, various environmental gases can be monitored and early warned, gas data sharing is formed through Bluetooth networking of multiple electroacoustic devices, multi-point dynamic monitoring of the gas concentration in an operation area is further achieved, the failure time of a filter element is early warned in combination with a timer, and the working efficiency is improved. Real-time monitoring and early warning of the gas mask filter are realized; early warning can be carried out on a next moving route of a user according to regional gas concentration data of a working site; rescue and evacuation routes may be effectively indicated when the filter is about to reach or has exceeded a threshold.

The invention discloses a conveying belt deviation detection and early warning system. The system comprises: a sensor module used for acquiring a thermal induction image and a visible light image of atransmission band; an image processing module used for carrying out primary processing on the thermal induction image and the visible light image; a resource management and image preprocessing modulewhich is used for being in butt joint with the image processing module, is responsible for image scheduling and system resource management and is used for carrying out secondary processing on the thermal induction image and the visible light image; a neural network unit which is used for utilizing the detection model and the feature model of the dual-mode fusion image and carrying out detection and early warning on the transmission band based on the dual-mode fusion image generated by the thermal induction image and the visible light image; and a programmable I / O control module used for receiving the image abnormality alarm information of the neural network unit, outputting a programmable control I / O signal, and regulating and controlling the operation of the power assembly according to the received deviation alarm signal of the transmission belt. The technical problems that in the prior art, conveying belt deviation detection is prone to being affected by the environment, and the detection effect is poor are solved.

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.