106results about How to "Realize the early warning function" patented technology

The invention discloses a power distribution cabinet monitoring system and a method. The system comprises a fault detection module, an intelligent fire protection module and a main control platform. The fault detection module is used for real-time data monitoring and fault analysis for a power distribution cabinet, the main control center is used for receiving the fault information of a power device, according to the fault position, an alarm module A is started to control the intelligent fire protection module to start an alarm unit B and a fire protection control unit, the execution mechanism at the field of the power distribution cabinet is controlled to control the automatic regulation of the temperature and the humidity at the internal portion of the power distribution cabinet, on-off of the loop power supply of the power distribution cabinet and the automatic switch-on of the fire protection device are controlled. The multi-level fault analysis and monitoring from the operation condition of the power equipment to the microenvironment of the cabinet and the like are achieved, and multiple detection modes are set through multi-level fault early warning and flexible threshold values, so that potential crisis can be timely found, and meanwhile, the power supply of the power device in the power distribution cabinet can be controlled to be switched on and off and the fire protection device can be controlled to be switched on and off according to the fault warning, so that the bidirectional development of monitoring quantity and control quantity is balanced.

The invention relates to a server monitoring method with early warning function, which comprises the following steps: leading a control terminal of a monitoring foreground to configure monitoring parameters of a monitored server and set thresholds which correspond to the monitoring parameters; recording the monitoring parameters and the thresholds in a database via a WEB server; leading a monitoring server of a monitoring background to extract the monitoring parameters and the thresholds from the database; leading the monitoring server to monitor the monitored server according to the monitoring parameters and the thresholds, and producing monitoring result; leading the monitoring server to record the monitoring result in the database; and leading the WEB server to extract the monitoring result from the database and show the monitoring result in the control terminal, wherein when the monitoring result is that the monitoring parameters are not matched with the thresholds, the monitoring server can call an alarm system of the monitoring background to alarm.

The invention provides a barrier detection early-warning system based on monocular and binocular vision fusion. Barrier detection early-warning is realized through the steps that first, according to an input left original image and an input right original image, calibrated camera information is utilized to perform image correction, and a left-right image pair in row alignment is obtained; second,a semi-global stereo matching algorithm based on a mobile terminal is adopted to process the left-right image pair, and a left parallax image is acquired through algorithm optimization; third, monocular-vision barrier detection is performed on the corrected left image, and pedestrians and vehicles in the image are recognized; and fourth, the distance and direction of a barrier are determined according to the pedestrians and vehicles detected in the third step in combination with depth information of binocular vision, and whether the barrier is in a safe range is determined according to a set early-warning threshold.

The invention discloses an online power transmission tower monitoring method and system of the power system. The monitoring method comprises the steps of data collection, data transmission, data display and analysis and early warning. The monitoring system comprises an onsite data collector, a data transmission module, a database, a data display module and an analysis and early warning module, wherein the onsite data collector synchronously collect four parameters including the wind speed and the wind direction of the wind-field environment of a power transmission tower as well as the vibration acceleration of the power transmission tower and the rod member strain of the power transmission tower, the data transmission module transmits received data to the data display module, the data display module displays the received data via a display interface, and transmits the received data to the analysis and early warning module, and the analysis and early warning compares the wind speed and the wind direction of the wind field environment, the vibration acceleration of the power transmission tower and the rod member strain of the power transmission tower with preset alarm values in the analysis and early warning module, emits alarm signals when the alarm values are exceeded, and thus, prevents the tower from falling off and prevents wires from being broken.

The invention relates to an online monitoring system for tilt and wobble of a wind power tower barrel. The system comprises a processor, a display, a collector, a tilt angle sensor located at a towerbase, at least one tilt angle sensor located at the tower barrel, a tilt angle sensor located at a tower cabin and at least one acceleration sensor located at the tower cabin; the tilt angle sensors and the acceleration sensors are connected with the collector through cables; the collector is used for collecting angle data of all the tilt angle sensors and acceleration data of all the accelerationsensors, and sending the data to the processor; and the processor is used for calculating out a real-time eigenvalue according to the angle data and the acceleration data, storing the real-time eigenvalue in a memory, giving an alarm and when the real-time eigenvalue is larger than or equal to a corresponding threshold value, and realizing an early warning function by a weighted average model.

The invention discloses a real-time fault diagnosis and early warning device and a real-time fault diagnosis and early warning method for a wire rope of a coal mine hoist, and belongs to a device and a method for fault diagnosis of the wire rope of the hoist based on on-line monitoring data. A core processing module of the device is simultaneously connected with a data storage module, a program storage module, a liquid crystal and touch screen control module, a data acquisition module, an Ethernet module and an alarm module; and a power module is connected with all the modules to provide power for all the modules. The method comprises the following steps of: calculating loss percentage of the sectional area of the wire rope; transmitting real-time data of the section area of the wire rope into the core processor module through an Ethernet interface; comparing with an initial value of the section area of the wire rope; and outputting in the form of loss percentage of the sectional area of the wire rope. The device and the method have the advantages that safety parameters are set aiming at application places of the wire rope; the application is flexible; the working state of the wire rope can be judged according to the on-line monitoring data; the real-time fault diagnosis and early warning function of the wire rope can be realized; and alarm information is given.

The invention relates to a wearable home body posture detection Internet of Things terminal which is characterized by comprising a posture detection node for collecting and sending body posture data information, wherein the posture detection node and an upper computer communicate through a ZigBee wireless serial port; the upper computer performs two-way communication with a remote cloud service platform through the Internet; and multiple sensor signal collection modules which can be worn on the body parts are arranged in the posture detection node. In the invention, a three-axis acceleration sensor, a three-axis angular velocity sensor and a gyroscope are adopted, and the information collected by the sensors is used for performing data preprocessing, time domain analysis and frequency domain analysis to realize detection of the body home postures, namely, the walking, standing and sitting postures; and the upper computer transfers the collected information to the remote cloud service platform, big data management is supported by a cloud server, and the detection analysis feedback of the data is realized to implement intervention in the body posture and offer improvement advices.

The invention provides a double-camera and millimeter wave fusion automobile perception system, wherein the hardware part comprises an upper shell, a camera module, an adjusting knob, a lower shell, amain board, an inertial measurement unit chip, two lens brackets, a millimeter wave radar module, a warning lamp and a loudspeaker; the system is characterized in that the camera module is hinged andmounted in a cavity of the lower shell through the two lens brackets; the adjusting knob is further mounted at one end of the camera module, penetrates through an arc-shaped hole and is mounted on the outer side of the lower shell; the main board is further fixedly installed in the lower shell. The warning lamp and the loudspeaker are further mounted at the bottom of the lower shell, and the warning lamp and the loudspeaker are connected with the main board respectively; the camera module is formed by fixedly mounting a left camera and a right camera on an image acquisition plate, and two axes of the left camera and the right camera are parallel to each other; the millimeter wave radar is installed on the central axis of a vehicle. A set of collision early warning system can be provided for new and old motor vehicles, and installation is easy and convenient.

The invention relates to a liquid flux quantitative control device. The device mainly includes a quantitative mechanism and an early-warning positioning control mechanism; the quantitative mechanism is mainly composed of a positioning shaft, a quantitative spring, a shaft gear, a combined ratchet wheel and a plurality of gears, wherein the combined ratchet wheel is composed of one-way internal and external gears and a ratchet wheel which is fixed on the gears; the early-warning positioning control mechanism is mainly composed of a compression bar, a return spring, a big closure plate, a small closure plate and a positioning wheel; in the quantitative mechanism, the positioning shaft is fixed on the shaft gear, and is connected with the quantitative spring, the shaft gear is connected with the combined ratchet wheel, and the gears in the combined ratchet wheel are connected with, and drive other gears; in the early-warning positioning control mechanism, the positioning wheel is fixed on the positioning shaft of the quantitative mechanism, and is provided with a positioning notch, the return spring is arranged under the compression bar, the compression bar is connected with the big closure plate, the big closure plate is coaxially connected with the small closure plate, a hole is disposed on the big closure plate, locator cards are arranged on the big closure plate and the small closure plate, and the geometric shape of each locator card is matched with the positioning notch of the positioning wheel. When the big closure plate is closed, the hole thereon can allow a certain flow, if a user finds the obvious decrease in flow, a tip is obtained to show that the device is about to closed, thereby realizing the early-warning function.

The invention relates to an automatic detection and early warning system for a numerical control machine tool and the operation method of the automatic detection and early warning system. The automatic detection and early warning system comprises an input unit, a transmission unit, an analysis and calculation unit, a coordinate detection unit, a coordinate comparison unit and an alarm unit. The input unit is used for reading a processing program into a machine tool, andconverting the processing program into a readable analog signal. The analysis and calculation unit is used for reading the processing program, andcalculating a theoretical coordinate value. The transmission unit is used for driving the mechanical part of the machine tool to move through the readable analog signal. The coordinate detection unit is used for detecting the actual coordinate value of the mechanical part of the machine tool in real time. The coordinate comparison unit is used for comparing the theoretical coordinate value with the actual coordinate value. If the difference value between the theoretical coordinate value and the actual coordinate valueis within the range of a threshold value A, the numericalcontrol machine tool works normally. Otherwise, the alarm unit is started to give an alarm. According to the invention, the program data can be analyzed in advance when the system works normally. Theon-line real-time detection is carried out, and the machining state is monitored in real time. The tool damage of the numerical control machine tool can be effectively prevented, and the operation safety and the operation reliability are improved.

The invention discloses a ferro resonance fault diagnosis expert system, used for fault diagnosis of ferro resonance caused by supersaturation of an electromagnetic voltage transformer, comprising a databank, a knowledge base and an inference engine. The databank is composed of configuration king industrial universal configuration softwares and microsoft databank softwares. Through the communication network, the configuration king configuration softwares receive electrical data transmitted by each detection device, and upload the electrical data required by the fault diagnosis to the upper layer databank system; the knowledge base adopts knowledge representation based on epsilon production. The invention judges generation of ferro resonance fault and the reason through the general detection device, and adds accident sample through managing the history bank, thereby realizing simple early-warning.

The invention relates to an intelligent ice and snow early warning system and method applied to a photovoltaic road section. The system comprises a weather acquisition module, a monitoring and early warning module and a photovoltaic power generation interface which is used for supplying power, generated by a photovoltaic road, for the weather acquisition module and the monitoring and early warningmodule; the weather acquisition module is used for acquiring weather information and road state information of the photovoltaic road; the monitoring and early warning module is used for obtaining anice and snow early warning result of the photovoltaic road according to the weather information and the road state information, and early warning people of ice and snow on the photovoltaic road according to the ice and snow early warning result. According to the embodiment of the invention, the ice and snow condition of the photovoltaic road can be predicted, and monitoring and early warning of ice and snow on the photovoltaic road section are achieved; the early warning system can achieve the early warning function by itself without the aid of external power, the cost of laying a circuit is saved, and the economic efficiency can be effectively improved especially for remote roads.

The invention discloses a GNSS satellite clock state of health monitoring method. Mutual effective verification can be performed for the satellite clock abnormal state by using multiple satellite clock difference data so that the problems of fault location difficulty, false alarm, early warning difficulty and poor timeliness causing various abnormal phenomena of the satellite clock can be solved,and long-term real-time monitoring of the state of health of the satellite clock can be realized. The method comprises the steps that the frequency and drift rate data are acquired through the primaryand secondary differential precision clock difference data, and the phase and frequency hop is detected by using the median method; fitting of the clock difference is performed by using the quadraticpolynomial so as to acquire the long time phase residual and the residual standard deviation; statistics of the frequency stability of the satellite clock is performed by using overlap hadamard variance; and finally various indexes are comprehensively evaluated, and the early warning information of the change of the satellite clock performance and the alarm information of the frequency and phasehop are given. The result proves that the satellite atomic clock state of health monitoring method using phase fitting residual based on multiple data sources is feasible.

An embodiment of the invention discloses a method for data sharing. The method comprises: acquiring smell of a present geographic position, analyzing the smell to obtain smell information; according to the obtained present geographic position, marking the smell information in the present geographic position in a map; and sharing the map which is marked with the smell information. Using the method and the system, through smell sensors and a GPS (Global Positioning System), smell of a present region is collected, and the collected smell is marked in the map, and the map marked with the smell is shared, so as to provide convenience for other users to know distribution conditions of smell around in advance. The method and the system can realize an early warning function of smell.

The invention discloses a remote monitoring method of a ground source heat pump host. The method comprises the following steps: a server sends a collection instruction, the ground source heat pump host sends operation data to an onsite serial port communication module, and a network device remotely transmits the operation data to the server through a computer network; the operation data of the ground source heat pump host is stored in a database in the server by a virtual serial port service module in the server, the operation data is read by a data collection module, whether an alarm code parameter or a fault code parameter is contained is analyzed, if so, an alarm code or a fault code is immediately decoded and pushed to a display module and an operation module, and meanwhile a short message notification module capable of carrying out secondary programming in the server starts a short message transceiver device to send the decoded alarm information or fault information to after-sale technical supporters. The remote monitoring method disclosed by the invention provides a method for remotely monitoring and controlling the ground source heat pump host, the traditional operation and maintenance mode is changed, the operation and maintenance timeliness is improved, and the user satisfaction is improved.

The invention discloses a wired remote monitoring system for a refrigerated container. The wired remote monitoring system contains a data acquisition terminal and a monitoring platform connected with the data acquisition terminal, wherein the data acquisition terminal contains a line concentration module at least connected with a digital serial port of one refrigerated container so as to acquire state parameters of the refrigerated container, a control module which is connected with the line concentration module and used for sending a control command to the refrigerated container, a buffer module which is connected with the control module and used for storing the state parameters, fed back by the refrigerated container, of the refrigerated container, a location module which is connected with the control module and used for acquiring geographical location information of the refrigerated container and a data transmission module which is connected with the control module and used for sending the state parameters and geographical location information of the refrigerated container to the monitoring platform and receiving the control command sent by the monitoring platform. The invention also discloses a wired remote monitoring method for the refrigerated container. The system and method which are disclosed by the invention are economical and practical, dismounting is convenient, and full coverage of monitoring of the refrigerated container is realized.

The embodiment of the invention provides a log monitoring method. The method comprises the steps of: monitoring a log file; carrying out keyword identification on the content in the log file; determining whether the recognized keywords are matched with test abnormal keywords in a preset keyword library or not, wherein the test abnormal keywords in the preset keyword library are automatically updated every other preset period; and if it is determined that the identified keyword is matched with the test abnormal keyword in the preset keyword library, generating an alarm prompt and sending the alarm prompt to a preset application principal. The embodiment of the invention further provides a log monitoring device, a terminal and a computer readable storage medium. The embodiment of the invention relates to the field of cloud monitoring, can realize an early warning function on a monitored log, can timely discover log exception, reduces possible risks to the minimum through alarm notification, and improves log analysis capability at the same time.

The invention discloses a device for monitoring and early warning a roof fall disaster of a coal mine roadway, relates to the technical field of roadway roof fall disaster monitoring and early warning, and solves the problem of roadway roof fall disaster early warning. The device for monitoring and early warning the roof fall disaster of the coal mine roadway comprises two groups of main body structures, wherein each group of main body structures comprises two symmetrically installed main body structures; foundations are installed on the lower end faces of the main body structures; bearing plates are installed on one sides of the foundations; a fixing mechanism is installed between every two main body structures; a detection mechanism protective cylinder is installed on the upper end faceof each fixing mechanism; a quality detection mechanism is installed on the upper end face of each detection mechanism protective cylinder; each main body structure comprises two prefabricated side plates, limiting edges, a prefabricated top plate, matching clamping grooves, inner supporting plates, fastening bolts, connecting bases, T-shaped grooves and reinforcing ribs; and the matching clampinggrooves are arranged on the upper end faces of the prefabricated side plates. The device for monitoring and early warning the roof fall disaster of the coal mine roadway has the function of early warning of a mine tunnel collapse disaster and the effect of isolating hazards.

The invention discloses a derailment inspection device based on side frame positioning and an inspection method of the derailment inspection device. The derailment inspection device is installed at the end of a side frame of a steering frame and comprises a supporting base, a cross beam and a laser displacement meter and a processor system. Besides, the invention provides the inspection method of the derailment inspection device. By means of the derailment inspection device and the inspection method, a pre-warning function is achieved before derailment of a railway vehicle, the problem that the railway vehicle cannot predict derailment is solved, and a guarantee is provided for guaranteeing traffic transportation safety and reducing derailment accidents.

The invention discloses derailment detection devices based on bearing saddles positioning and a detection method thereof. The derailment detection devices are installed on side faces, facing wheels, on the bearing saddles and comprise four supporting frames and four laser displacement meters and processor systems respectively installed on the supporting frames. In addition, the invention also provides the detection method. The derailment detection devices and detection method disclosed by the invention realize an early-warning function before derailment of railway vehicles, solve the problem that the derailment of the railway vehicles cannot be predicted, and provide guarantee for ensuring railway transportation safety and reducing freight vehicle derailment accidents.

The invention discloses an advertising expense balance pre-warning method and device. The method comprises the following steps of: predicting an advertising expense consumption amount of an advertising platform at a target moment according to advertising expense history consumption data; determining an advertising expense consumption distribution coefficient, on the advertising platform, of a to-be-analyzed advertiser according to an advertising expense consumption amount, on the advertising platform, of each advertise at a target history moment; calculating an advertising expense consumptionpredicted value of the to-be-analyzed advertise at the target moment; calculating a residual consumable time length of an advertising expense of the to-be-analyzed advertise at the target moment according to the advertising expense consumption predicted value of the to-be-analyzed advertise at the target moment; and judging whether the residual consumable time length satisfies a preset pre-warningtime length range or not, and if the judging result is positive, carrying out pre-warning. Through the method and device, the aim of pre-warning the condition that the advertising expense is about tobe consumed is realized.

The invention relates to the technical field of train early warning and discloses a train tracking early warning system which comprises vehicle equipment, ground equipment and GSM-R transmission equipment; the vehicle equipment comprises a vehicle main mainframe, an early warning display unit, a satellite antenna and a GSM-R antenna; the ground equipment comprises a database server and a monitoring terminal; the vehicle equipment obtains the train running speed information through a wheel speed sensor, the equipment can obtain the transponder information, the train GPS information, the speed information of the wheel speed sensor and the transponder information are collected in the train running process, and the information is sent to the ground equipment through a GSM-R net; the ground equipment performs train position calculation, two train tracking distance calculation and early warning logical processing and sends the processed early warning information to the vehicle equipment through the GSM-R. According to the train tracking early warning system, reasonable, accurate and efficient safety early warning can be provided for hazardous conditions and potential safety hazards whichare likely to occur in the train tracking running.

The invention relates to the technical field of power grid dispatching, and particularly to an intelligent scheduling plan management method and a platform. The method comprises the following steps: establishing a multi-dimensional intelligent scheduling expert model by checking the running state of a power grid and simulating a power grid accident, intelligently analyzing the internal logic relationship of the power grid accident, and dynamically generating and checking a scheduling accident plan in combination with power grid safety analysis and calculation; the functions of the intelligentscheduling plan management method are realized through the following modules: a function module, a function module and a function module, the system comprises an EMS and BPA model management module, afault set management module, an important user management module, a power grid operation safety check module, a power grid operation risk assessment module, an intelligent scheduling expert model management module, a power grid operation accident disposal scheme module and a plan self-check management module. The method has the advantages that the management level of the power grid dispatching plan is improved, the early warning function of power grid dispatching is achieved, and therefore safe and stable operation of a power system can be guaranteed.