72results about How to "Realize remote online monitoring" patented technology

The invention discloses a remote online monitoring method of a lightning arrester, which comprises the following steps of: 1, through a current transformer, obtaining a leakage current signal and an operation voltage signal of the lightning arrester through a voltage transformer; 2, preprocessing the leakage current signal and the operation voltage signal; 3, transmitting the preprocessed signals to an upper host through a wireless transmission mode; and 4, analyzing and computing by the upper host, and analyzing and comparing with data in a database, and when the detected resistive current value of the lightning arrester exceeds the set threshold, sending an alarm signal.

The invention discloses a comprehensive state evaluation theory method for new intelligent station relay protection equipment. The method comprises steps: a protection device is adopted as a monitoring platform for the device itself, the protection device is self detected, first parameters of the protection device and second parameters of a secondary circuit are acquired, and the first parametersand the second parameters are transmitted to a signal processing system, wherein the secondary circuit is used for monitoring the circuit where the device and the protection device are connected; andbased on the first parameters and the second parameters, state evaluation is carried out: an evaluation component and a scoring principle for the whole device are set, and the equipment in the relay protection device or an interval operation condition can be evaluated. When the method of the invention is applied, an intelligent closed loop management process of intelligent acquisition, risk earlywarning, state evaluation, maintenance strategy and measure management for state maintenance of the substation relay protection equipment can be realized, and the purposes of safe and reliable equipment operation and economic and reasonable maintenance can be achieved.

The invention discloses an online state maintenance intelligent decision analysis device used for a relay protection device, and a signal processing method and an application thereof, and belongs to the field of application of the information technology of power systems. The online state maintenance intelligent decision analysis device used for the relay protection device comprises a data acquisition unit, a data adapter, a storage unit, a state evaluation unit, a warming detection unit, a maintenance decision-making unit, a guide unit, a guide configuration interface unit, a controlling unit, a universal algorithm module, an arithmetic configuration interface unit and a WEB page presentation unit. After the attribute information of the quantity of state of the relay protection device is collected in real time, the maintenance decision analysis and the warning detection to various protection devices in the power network can be realized through the universal state evaluation algorithm model in the independent module.

The invention discloses an electric power LTE wireless terminal remote online monitoring method, the method comprises the following steps: (1) by a wireless terminal remote management system, receiving heartbeat request message reported by a wireless terminal; (2) updating heartbeat receiving time of the wireless terminal; (3) calculating a value of difference between the current time and the latest heartbeat receiving time; (4) judging whether the value of difference is less than a set offline threshold value, if so, jumping to a step (5); otherwise, judging whether an IP address of the wireless terminal can realize ping passing through, if so, jumping to the step (5), otherwise, generating a wireless terminal offline warning information; (5) judging whether the wireless terminal is in anonline state before, if so, acquiring online information of the terminal judged last time, otherwise, generating a wireless terminal offline warning recovery information. The method provided by the invention realizes remote online monitoring for the electric power wireless terminal, guarantees real-time communication of electric power services and reduces operation and maintenance pressure of anelectric power LTE-1.8GHz wireless private network.

The present invention relates to a scientific instrument working state monitoring method based on control computer. It is composed of three portions of sate data acquisition, state data processing and data telecommunication terminal. Said state data acquisition portion adopts a multimode combined detection method based on mouse keyboard hook, software interface characteristics, journal file and communication interface data flow. It is characterized by utilizing detection for control software and control computer to obtain working state of instrument. The state data processing portion is used for processing state data into unified format. The data telecommunication terminal can be used for sending data into remote monitoring server, and the communication mode of said data telecommunication terminal and control computer has RS-232, USB and TCP/IP, and the telecommunication mode includes ADSL, LAN, WLAN, GPRS and CDMA.

An intelligent oil level indicating device comprises an oil conservator feeding and discharging oil pipe, a liquid level instrument and a liquid level display instrument. The liquid level instrument comprises a diffused silicon pressure sensor and an ICSensors circuit, the oil conservator feeding and discharging oil pipe is connected with the diffused silicon pressure sensor, the diffused silicon pressure sensor is connected with the ICSensors circuit through a sensing cable, and the ICSensors circuit is connected with the liquid level display instrument through an output terminal. The liquid level display instrument is connected with a background monitoring computer in a wired manner, a remote monitoring effect is achieved, and automation degree is improved. The intelligent oil level indicating device is convenient in field installation, high in automation degree, visual and accurate in oil level display, fine in stability, high in accuracy and reliability and long in service life, can be used for oil level check and maintenance for a 220KV-750KV transformer and an electric reactor, is more applicable to an unattended and high-automation transformer substation, and can be used for timely discovering false oil level caused by capsule breakage.

The invention provides a digital steel wire rope flaw detection sensor.The digital steel wire rope flaw detection sensor comprises a probe and a plurality of digital communication interfaces, wherein the probe is used for detecting the faulted condition of a steel wire rope and generating corresponding detection signals, and the digital communication interfaces are respectively connected with the probe and an external processor and used for transmitting the detection signals from the probe to the external processor.The digital steel wire rope flaw detection sensor can improve the detection efficiency of steel wire rope flaws and antijamming capability in the detection process, and therefore the accuracy and reliability of a detection result are guaranteed.

The invention provides a cloud-intelligent water purification machine. The cloud-intelligent water purification machine comprises a PP (propene polymer) cotton core filter bottle, a granular activated carbon filter bottle, a water inlet solenoid valve, a backwash solenoid valve, a sintered activated carbon filter bottle, a booster pump, an RO (reverse osmosis) filter bottle, a check valve, a coconut shell activated carbon filter bottle, a pressure tank, a controller as well as a raw water flow meter, a pure water flow meter, a waste water flow meter, two water quality sensors, a raw water pressure transmitter, a water pump pressure transmitter, a pure water pressure transmitter, an external power supply, a screen display, a wireless transmission module and an alarm which are connected with the controller. According to the water purification machine, water way control, water quality monitoring and other functions can be integrated, water quality information is monitored in real time and fed back to a user, an alarm is given for shutdown if parameters of the water purification machine are not in the default range, fault information is sent to the user and is directly transmitted to a cloud server if feedback is not obtained within the response time, and the user is directly reminded through the third party, therefore, the water way control and water quality monitoring accuracy are improved, and requirements for the water quality are met.

The invention discloses a harmful bacterium real-time detecting method and a detecting device in a water environment for fish-farming based on a micro-fluidic chip; the harmful bacterium which exists in the environment for fish-farming and corresponding sensitization latex are fully mixed in the micro-fluidic chip to be subjected to an agglutination reaction, the degree of the agglutination reaction is judged by the change of absorbance of mixed liquid generated by the agglutination reaction and the mixed liquid is finally converted into the concentration of the harmful bacterium in water environment for fish-farming to be output; the bottom part of an original water sample bacterium desorption structure is connected with a water pump and an original water sample inlet, the top part of the original water sample bacterium desorption structure is connected with a high-density non-biologic grain output pipeline and an adsorption push-pump type filtering structure; an electric mixing micro-fluidic chip is provided with a micro mixing chamber, a bacterium sample inlet and a sensitization latex inlet; and the device provided by the invention realizes the fully-automatic online monitoring process of the harmful bacterium in water environment for fish-farming from the extraction of the original water sample to the output of a detecting result, can monitor the harmful bacterium content in the original water sample in an online real-time manner and can early alarm the bacterial diseases of fishes.

The invention discloses an online soil detection device and method. The device comprises a vehicle body, a remote controller and a control system, wherein a driving mechanism, a camera shooting acquisition system and a detection mechanism are arranged on the vehicle body; the driving mechanism and the camera shooting acquisition system are used for driving the vehicle body to a designated detection area; the detection mechanism comprises a detection hole formed in the vehicle body, the detection hole contains a soil acidity and alkalinity probe, the soil acidity and alkalinity probe is connected with the vehicle body through a height adjusting mechanism, a soil pre-cleaning mechanism is arranged at the bottom of the vehicle body, and a soil acidity and alkalinity probe cleaning mechanism is further arranged on the vehicle body. The invention has the advantages of being high in efficiency, convenient to operate and accurate in result.

The invention belongs to an oil liquid monitoring technology based on an embedded hardware platform and relates to a networking communication method of an on-line wind turbine generator gearbox oil liquid monitoring system. Remote real-time monitoring on water and metal particles in oil liquid of a wind turbine generator gearbox and a viscosity state of the oil liquid can be implemented. Each fan acquires relevant oil liquid quality data through a water sensor, a viscosity sensor and a metal particle sensor of a data acquisition unit of the on-line gearbox oil liquid monitoring system and transmits the data to a Zigbee wireless communication module in a wireless communication unit after the data is processed by a central processing unit. All sub fans route the data into a Zigbee wireless communication module of a main fan in a Zigbee networking mode of a mesh-based topological structure, and finally, the main fan packs all the data in a concentrative manner and remotely sends the data to a server terminal through a GPRS (general packet radio service) wireless communication module. The networking communication method can provide a high-reliability and low-cost effective monitoring measure to a wind turbine generator in a wind power plant, and due to the effective monitoring measure, faults can be found in time.

The invention provides a pump group state monitoring method and device based on fiber grating sensing. The device comprises a fiber grating sensor set arranged on a pump, wherein the fiber grating sensor set is connected with a fiber grating interrogator through optical fibers, the output end of the fiber grating interrogator is connected with an analyzing and processing device which is further connected with an alarm device, and the fiber grating sensor set comprises a fiber grating temperature sensor and a fiber grating vibration sensor. According to the pump group state monitoring method and device based on fiber grating sensing, a fiber grating is used as a sensing element, electric equipment is not used in a work site, dangers caused by electric factors are effectively avoided, requirements for site environments are low, and using in a severe environment can be realized; the optical fibers serve as not only sensitive elements but also optical signal transmission media, so that low-loss remote transmission of signals is achieved; the fiber grating vibration interrogator is provided with a compensation unit which can be used for compensating output signal loss caused by light source change and line loss, and vibration measurement accuracy can be improved.

The invention discloses a metal oxide lightning arrester MOA online monitoring method. Parameters reflecting MOA aging in a model are solved by fitting and approximation of a leakage current calculated value in the equivalent model to an actual leakage current measured value via utilizing a genetic algorithm so that the aging situation is accurately monitored. Influence of harmonic voltage and frequency fluctuation on MOA online monitoring accuracy in power grid voltage is overcome by the method, and the MOA aging situation can be more accurately monitored without performing complex FFT computation on leakage current to overcome interference signals in current signals so that the MOA aging monitoring effect is effectively enhanced. The method is simple in circuit design, stable in working performance and high in anti-interference capability so that a wireless transmission method is quite easy to change, and thus MOA aging long-distance online monitoring is realized.

The invention relates to an online detection system and an online detection method for an isolating switch. The system comprises a motor operating mechanism, the isolating switch and an online detection device, wherein the motor operating mechanism comprises a motor; the online detection device comprises a detection module, a conversion module, a switch and a centralized control terminal; the detection module is used for acquiring detection analog signals of the motor operating mechanism and the isolating switch; the detection analog signals comprise a temperature analog signal, a displacement analog signal and a switching value analog signal of the isolating switch and a current analog signal of the motor; the conversion module is used for finally converting the detection analog signals into detection optical signals and transmitting the detection optical signals to the centralized control terminal; and the centralized control terminal carries out centralized control on the received detection optical signals. The system and the method of the invention meet the intelligent power grid construction requirements by the state grid, and the safety, the reliability and the anti-interference performance are good.

The invention discloses fine particulate matter online monitoring equipment. The equipment comprises a base and an upright, movable wheels are arranged at four corners of a lower side of the base, mounting grooves are formed in four corners of the edge of the base, ball screw bushes are arranged on the mounting grooves, and fixed cones are arranged in the ball screw bushes; flat panel support bushes are arranged at the lower ends of the fixed cones; a gradienter is arranged on an upper surface of the base, the upright is arranged at the center of the base, a ganged extension set is arranged ona sidewall of the lower end of the upright, a reflector board is arranged on a box door of the ganged extension set, a central processing unit is arranged at the center in the ganged extension set, and an earth leakage circuit breaker is arranged above the central processing unit. The online monitoring equipment disclosed by the invention is simple and convenient to move and fix so as to be usedat different locations; the solar energy is used for supplying power, the cruising ability is strong, and the equipment can be used for a long time; the detection data is comprehensive, the remote online monitoring can be realized, the management is convenient, and the practicability is improved.

The invention provides a remote online water quality monitoring method based on a curve fitting and toxicological analytical algorithm. The method comprises the following steps: a water quality comprehensive biological toxicity analyzer is used for monitoring inhibition degree of toxic substances in sampling liquid on luminescence intensity of bioluminescent bacilli; luminescence intensity information is sent to a remote server; data processing of the luminescence intensity information is carried out by the server in order to determine class of pollution of sewage toxicity; and result information is searched on a remote client. Compared with the prior art, the improved curve fitting algorithm is implanted, a Fabonacci method is used for further optimizing each coefficient of an improved curve fitting model, in order to realize prediction of components and concentrations of toxic substances; at the same time, the effects of magnetic stirring time, culture temperature, culture time, exposure duration, and pH value range on the result measured value are also considered, the influences of each condition on biological toxicity tests of luminescent bacteria are analyzed, so that measurement precision and stability of the analyzer are improved, and remote online monitoring is realized.

The invention discloses a cloud-based flow data storage system which comprises a layer of Internet of Things, a cloud terminal and a gateway, wherein the layer of Internet of Things is physically connected with the cloud terminal; the Internet of Things is used for collecting the flow data generated in an industrial automatic production process and transmitting to the cloud terminal; the cloud terminal comprises a flow data processing system, a controller and a relational database; the flow data processing system in the cloud terminal is used for storing the received flow data as a historical data; the controller is used for inquiring the historical data in the flow data processing system, storing to the relational database and deleting the data from the flow database. The invention also discloses a query method. According to the cloud-based flow data storage system and the query method provided by the invention, data can be effectively stored and processed, so that not only can the cost of the server system be lowered, but also the effect of quickly inquiring the real-time data is achieved.

The invention discloses a method and a system for carrying out online testing on performance of a numerical control system based on motor analog loading. The system comprises a tested numerical control system, an accompany testing numerical control system, a remote data collecting unit and a remote server, wherein the accompany testing numerical control system is used for supplying load to the tested numerical control system and is simultaneously used as a measuring tool of the tested numerical control system; the accompany testing numerical control system is connected with the tested numerical control system through an elastic coupler; the accompany testing numerical control system and the tested numerical control system are respectively connected with the remote data collecting unit. The method comprises the steps of loading of the load of the tested numerical control system, online running testing of G codes of the tested numerical control system, real-time obtaining of actual data, online analysis on the performance of the numerical control system, and the like. The system and the method for carrying out online testing on the performance of the numerical control system based on the motor analog loading, disclosed by the invention, have the advantages that the structure is simple, the operation is convenient, and the like; multiple load situations can be simulated, a testing process can be remotely monitored in real time, testing data can be remotely checked, and unified management on the testing data is realized.

The invention discloses a rural-power-grid distribution-equipment remote on-line fault diagnosis system based on a cloud server. The system comprises a temperature detection circuit and a voltage detection circuit which are connected to rural-power-grid distribution equipment. The temperature detection circuit and the voltage detection circuit are connected to a controller respectively. The controller is communicated with the cloud server. Detected temperature and voltage are uploaded to the cloud server to carry out storage and sharing. The controller is also connected to alarm equipment through a relay protection device. In the cloud server, according to real-time data, analysis and diagnosis are performed. In the invention, a workload of operation-maintenance personnel is decreased. Through installing various kinds of sensors, voltage detection circuits and temperature detection circuits on the rural-power-grid distribution equipment, low voltage distribution equipment running state data is collected and near fault diagnosis and rapid publishing are realized.

FIELD OF THE INVENTION that present invention relate to the field of cable extrusion device control, in particular to a wire diameter automatic control device of a cable extruder, including extruders,cooling device, Coil-wire mechanism and control device, the extruder includes a base, A motor, a gear device and a barrel, wherein a screw is arranged in the barrel, the motor drives the screw to rotate through the gear device, an electromagnetic heating device is arranged on the barrel, the electromagnetic heating device is connected with a control device, the electromagnetic heating device is used for heating the barrel, and a first feeding mechanism, a second feeding mechanism and the like are respectively arranged on the barrel along the axial direction. The invention has simple structure, stabilizes cable diameter, ensures product quality, reduces waste of materials, reduces production cost of cable manufacturing industry, has perfect production assurance and fault handling capacity,realizes remote on-line monitoring of production process data, and improves automation degree of production equipment. The invention is simple in structure, has stable cable diameter, ensures productquality, reduces waste of materials, reduces production cost of cable manufacturing industry, and has perfect production assurance and fault handling ability.