189results about How to "Simple monitoring method" patented technology

A sensor for wirelessly determining a physical property within a defined space comprises an electrical resonance and has a high quality factor Q. The quality factor Q is sufficiently high that a signal generated by the sensor can be received outside the defined space. The sensor may optimally have a dielectric coating.

The invention relates to a method and a device both based on annulus pressure measuring while drilling and for early monitoring gas invasion of a wellhole. The device is characterized in that the device comprises a drilling column arranged in the wellhole, the bottom of the drilling column is connected with an annulus pressure measuring while drilling device and a drilling bit, the annulus pressure measuring while drilling device comprises an annulus pressure sensor, an annulus temperature sensor, a signal monitoring circuit, a data storage circuit, a battery and a data connector, the top of the annulus pressure measuring while drilling device is connected with a measuring while drilling device which comprises a signal receiving module and a pulse generator, a drilling fluid returning flowmeter is arranged on the upper portion of the drilling column, one side of a wellhead is connected with a mud pump and a mud circulating pool through a pipeline, a mud pressure sensor is mounted on the mud pump, a mud level meter is arranged in the mud circulating pool, the drilling fluid returning flowmeter, the mud pressure sensor and the mud level meter are in wire connection with a well logging instrument respectively, a filter module and a signal measuring module are arranged in the well logging instrument, and the well logging instrument is connected with a data analyzing and alarming module through a wire. The method and the device can be applied to deepwater oil drilling operations.

An orthogonal heterodyne in-band optical signal-to-noise-ratio (OSNR) monitoring method and apparatus that use the polarization characteristics of two narrow bandwidth filtered optical spectral components which is not only insensitive to the effects of polarization mode dispersion (PMD) and inter-channel cross-phase modulation (XPM) induced nonlinear polarization scattering, but also independent of bit rate and modulation format. The monitoring method is demonstrated for both linear and nonlinear systems.

The invention discloses a system and method for monitoring loads on tires in real time in the automobile driving process. The method is characterized by including the steps of firstly, calibrating mapping relations of the loads on the tires of an automobile, pressure on the tires, temperatures of the tires and perpendicular deformation amounts of rubber tire bodies of the tires through bench tests; secondly, evaluating the loads on the tires in real time in the automobile driving process through an automobile velocity test device, a tire pressure monitoring device, a tire velocity sensor and the like. The method is mature in concept, the designed monitoring device has high test accuracy, and the vehicle model application range is wide.

The invention relates to a warning system for safety monitoring of a tailings storehouse. The warning system comprises a system integration which synthesizes GPS dam body deformation monitoring data acquired, dam body phreatic line monitoring data, dry shoal namely deposition shoal monitoring data, and storehouse region water level and rainfall amount monitoring data to perform analysis, judgment and early warning through an intelligent expert software system, and can perform real-time monitoring in a video mode. The system adopts a structural configuration of three levels of structural frames: a bottom layer structural frame as an original data acquisition layer, a middle layer structural frame as a data processing layer, and a top layer structure frame as a user layer, which adopt an expert software subsystem to give corresponding calculation results to the data in a database according to different requirements of users. The warning system adopts optical fiber cables and wireless transmission communication equipment as carriers to form a network system specially for safety monitoring and warning for the tailings storehouse, and adopts the modern science and technology to perform the safety monitoring and warning work for the tailings storehouse, thereby sufficiently satisfying the requirements on safety management of tailing production by mining enterprises and meeting the actual demands for the safe production by the mining enterprises.

The invention relates to a sowing machine, in particular to a sowing machine with the function of monitoring in real time; the sowing machine comprises a frame, a seed box, a seeding mechanism, a grain conductor and a monitoring device which is arranged on the grain conductor; a sensor unit in the monitoring device uses a photoelectric sensing mode of a grid grating to cover the whole section of the grain conductor and carry out independent monitoring to each grid, thus better realizing the monitoring to resowing. A monitoring method provided by the invention is simple and effective, has high accuracy and function of self-cleaning and improves the stability of monitoring; as the cost is low, the sowing machine with the function of monitoring in real time related to the invention has popularization.

The invention specifically provides a method for monitoring plant growth by using an unmanned aerial vehicle with a multispectral light source, belonging to the technical field of monitoring of plant growth. The method comprises the following steps: determining the characteristic wavelengths of plants according to the species of the plants and selecting a corresponding standard narrowband colored light combination as a standard multispectral light source; irradiating the plants with the standard multispectral light source, acquiring information like the chromaticity coordinates and reflection spectra of the plants of different species and establishing a plant spectrum database; controlling the unmanned aerial vehicle to shoot a detected plant by using an area-array CCD spectral imager and to store information; and comparing the information of the shot detected plant with information like the chromaticity coordinates and reflection spectra of leaves of a plant of a same species in the plant spectrum database so as to analyze the growth condition of detected leaves. According to the invention, the unmanned aerial vehicle carries the multispectral light source and the area-array CCD spectral imager for monitoring, so the coverage area of a single scanning is great and measuring precision is high; the unmanned aerial vehicle is simple in flight route, easy to control and low in cost; thus, the method is applicable to monitoring of plant growth during current agricultural plantation in fields, greenhouses, plant factories, etc.

The invention relates to the technical field of experimental devices, and discloses a gas-containing coal hydrofracture-induced dynamic damage simulation monitoring device and method. The device comprises a sealed cavity for containing a cubic coal sample, an acoustic emission monitoring unit, a confining pressure unit, a hydrofracture unit and a gas injection unit, wherein the confining pressure unit extends into the sealed cavity to apply confining pressure onto the cubic coal sample; the gas injection unit extends into the sealed cavity to inject gas into the cubic coal sample; the hydrofracture unit extends into the sealed cavity to perform hydrofracture on the cubic coal sample; and the acoustic emission monitoring unit extends into the sealed cavity to acquire an acoustic emission signal from the cubic coal sample. The device can be used for monitoring and analyzing gas-containing coal hydrofracture-induced dynamic damage with different gas pressure and different coal intensities under different pressure conditions. The device is simple in structure, simple in monitoring method and easy to operate.

The invention provides a fault monitoring method for a secondary circuit of a metering current transformer. The method includes the steps that 1, a high-frequency voltage signal Uh is injected into the secondary circuit of the monitored metering current transformer; 2, a current signal I2 in the secondary circuit is measured and divided into a power frequency current signal Ip and a high frequency current signal Ih; 3, AD conversion is carried out on the Ip and the Ih; 4, the ratio I gamma of the positive amplitude value and the negative amplitude value of the Ip within a power frequency current period is calculated; 5, the admittance Yh of the secondary circuit is calculated and is equal to Ih/Uh; 6, the electric energy value Ec is calculated according to the Ip and the power factor cos phi and the power frequency voltage Up of an electric energy meter of the secondary circuit of the monitored current transformer; 7, the difference value delta E within the time interval T is calculated and is equal to the difference between the Ec and Em; 8, the fault type of the secondary circuit of the monitored current transformer is judged according to the ratio I gamma, the difference value delta E and the admittance value Yh. The method is simple and reliable, faults of the secondary circuit of the monitored current transformer are monitored in real time and online, and the fault position and fault type of the circuit are judged and recognized.

The invention discloses a real-time asphalt road compactness monitoring method which comprises the steps of (1) establishing a linear relation between compactness and detection density of a non-nuclear density gauge; (2) establishing a linear relation between a compaction value and the compactness; (3) according to the lower compactness limit requirement of a construction site and according to the linear relation between the compaction value and the compactness, established in the step (2), determining the lower limit of the compaction value; (4) monitoring the compactness in construction in real time, enabling an vibratory roller operator to control a vibratory roller through observing the compacted or uncompacted information displayed on an industrial control computer, continuously rolling when in uncompaction, and stopping rolling when in compaction. The real-time asphalt road compactness monitoring method is novel and reasonable in design, convenient to realize, capable of improving the compaction quality and efficiency of an asphalt road and avoiding damage to the road, relatively high in compactness detection accuracy, low in realization cost, strong in practicability, and high in popularization and application values.

The method of the invention for characterizing and counting violations of a threshold by an operating parameter of an aircraft engine, comprises:

• • a detection step of the aircraft detecting a violation of the threshold by the parameter while said engine is in operation;
  • on detecting this violation, a transmission step of the aircraft automatically transmitting to a ground system a warning message about the violation;
  • on the basis of this message, a step of automatically determining a severity level for the violation; and
  • an incrementation step of incrementing a counter representing the number of occasions the operating parameter of the engine has presented a violation corresponding to said severity level.

The invention relates to a cable insulation leakage current measurement technology, in particular to a method which measures the cable insulation leakage current through dielectric loss tangent. Taking the A-phase current measurement as an example, the invention adopts a mirror current source test technology to divide a sensor for testing the A-phase current into two parts CT1 and CT1` in the new test method; the current flowing directions of the CT1 and the mirror CT1` are made symmetric in advance during the production, namely, Ict1 is equal to Iag plus Iaf, Ict1` is equal to -(Iaf plus (2Iag)), and Io is equal to Ict1 plus Ict1` and also equal to-Iag; through the mirror current source technology, the needed current component -Iag (the leakage current component corresponding to A) is measured, while IBG and Icg are also measured based on the same principle. The method has the advantages that the direct method is used to measure each phase leakage current, and the monitoring way is easy to realize, thereby complementing the existing detection performances and improving the reliability and accuracy of the monitoring system.

The invention provides a big data fitting-based method and system for monitoring refractive growth of teenagers. The method comprises the steps of S1, building a big data model of a multi-factor dynamic refractive value; and S2, fitting out a dynamic refractive value of a tester by utilizing the big data model of the multi-factor dynamic refractive value in combination with basic information of the tester according to a naked eye vision detection value of the tester, obtaining reasons of poor vision of the tester, and if the tester needs to be subjected to deep refractive growth monitoring, fitting out a static refractive value of the tester by utilizing the big data model and performing long-term monitoring. By adopting the method and the system, the dynamic refractive value of the tester can be fitted out only by collecting the naked eye vision and the basic information of the tester, and the monitoring mode is simple; and for people needed to be subjected to refractive growth monitoring, the static refractive value of the tester can be fitted out only by detecting dynamic refraction, an adjustment range and various parameters of the biological structure of the eyes of the tester, without use of medicinal liquid for ophthalmoplegia, and the monitoring mode is simple.

The invention discloses a cloud-side cooperative intelligent power grid monitoring system and a resource allocation and scheduling method thereof. The system comprises wireless sensor network nodes ofN different types of sensors, a power wireless private network base station, edge equipment with a plurality of neural networks, and a remote cloud system. The system can collect the state of a powergrid and carry out real-time anomaly monitoring based on a deep neural network, and has two data transmission methods: one method is to transmit the data acquired by the sensor to the power wirelessprivate network base station through an LTE-A wireless communication interface, and then to transmit the data from the power wireless private network base station to the cloud through the Internet forcloud processing; the other method is to transmit data acquired by the sensor to the edge equipment through a WIFI wireless communication interface, and to select different neural networks for monitoring processing. Under the condition of meeting the requirement of data transmission time delay, wireless communication resources and computing resources of edge equipment are optimally allocated, sothe throughput of the system is maximized.

The invention discloses an online monitoring method for a tunnel internal pipeline. The method comprises the step that a pipeline strain monitoring portion, a pipeline and environment temperature monitoring portion, a support displacement monitoring portion, a pipe clamp pressure monitoring portion and a remote control portion are included; the pipeline strain monitoring portion is used for measuring axial strain of the pipeline; the pipeline and environment temperature monitoring portion is used for measuring running temperature of the pipeline and environment temperature inside a tunnel; the support displacement monitoring portion is used for measuring relative displacement between a support bottom plate and a tunnel ground foundation; and the pipe clamp pressure monitoring portion is used for monitoring pipe clamp pressure changes. The online monitoring method can achieve continuous monitoring of the tunnel internal pipeline and transmits safety conditions of the tunnel internal pipeline, the support and the pipe clamp to a remote analysis terminal in real time. The method facilitates engineering application, and the safety management level of a tunnel penetrating pipeline can be improved.

The invention discloses a boiler furnace flame centre position monitoring method. The method comprises the following steps: 1) establishing a furnace thermal load and furnace flame central position predicting model; 2) establishing a furnace load and water-cooling wall temperature calculating model; 3) establishing databases corresponding to furnace heat load distribution and water-cooling wall temperature distribution of a boiler under different working conditions; 4) extracting actual operation data in the field; 5) calling a database according to an actual water-cooling wall temperature measurement value, and calculating furnace three-dimensional heat load distribution; 6) re-calculating the water-cooling wall temperature according to the calculating model established by the step 2), and judging whether the water-cooling wall temperature and the average error of measurement values meet requirements or not; 7) obtaining an actual furnace flame centre position according to the calculated heat load distribution and the predicting model established in the step 1), displaying the state of a flame centre in the furnace through graphics, and judging whether the flame centre is inclined or not; by adopting the method provided by the invention, the monitoring and adjusting in a furnace combusting process can be realized; guarantee is provided for the safety and economical efficiency of industrial production.

The invention discloses an in-field weighting type lysimeter for a paddy field. The in-field weighting type lysimeter comprises a lysimeter main body and a monitoring well, wherein the lysimeter main body is connected with the monitoring well through a gathering gallery; the lysimeter main body comprises an outer drum and an inner drum; a gap is arranged between an outer wall of the inner drum and an inner wall of the outer drum; a weighting sensor is arranged at the bottom of the outer drum; the inner drum is arranged on the weighting sensor; a to-be-detected soil layer is arranged in the inner drum; a water filtering layer is arranged at the bottom of the to-be-detected soil layer; a water gathering pipe is arranged at the bottom of the water filtering layer; a Markov bottle, a constant water-level water tank and a leakage metering device are arranged in the monitoring well from top to bottom; the Markov bottle is used for supplying water to the constant water-level water tank; the leakage metering device is connected with the constant water-level water tank through a leakage metering pipe; the top end of the leakage metering pipe is aligned with the constant water-level liquid level; the water gathering pipe passes through the gathering gallery and is communicated with the constant water-level water tank; a data collecting device is arranged in the monitoring well; the weighting sensor is in signal connection with the data collecting device. The lysimeter provided by the invention can be used for monitoring the leakage water and supplying water volume of the soil layer.

The invention discloses a mining liquid carbon dioxide delivery device, which comprises a pipeline device, the pipeline device includes an outer tube and an inner tube, one end of the outer tube is connected with a first gaseous carbon dioxide storage tank, and one end of the inner tube is connected with a second gaseous carbon dioxide storage tank and The liquid carbon dioxide storage tank is connected, one end of the inner pipe is provided with a pressure stabilizing valve, and the other end of the inner pipe is provided with a pressure control valve, and the conveying device also includes a monitoring system. The delivery device can improve the reliability of delivery of liquid carbon dioxide and avoid safety accidents. The invention also discloses a leakage monitoring method of a mine-used liquid carbon dioxide delivery device. The monitoring method uses two pressure transmitters to monitor the pressure change inside the outer pipe. When the inner pipe leaks, both pressure transmitters will monitor When the abnormal signal of pressure increase is detected, the controller obtains the above abnormal signal, and calculates the specific location of the leakage point according to the time of obtaining the above abnormal signal. This monitoring method is simple, convenient and effective.

The invention provides a transmission line travelling wave recording method and belongs to the technical field of electricity according to the classification of international patent classification (IPC) table. The problems that when the current waveform monitoring method based on threshold triggering is used for monitoring high-resistance ground, a travelling signal cannot be monitored due to being relatively weak, and after triggering threshold of travelling wave monitoring is purely reduced, uploaded data amount is large, error triggering waveforms are excessive in number, a fault waveform is difficultly identified and selected, and meanwhile the service life of a monitoring terminal is shortened, the data transmission cost is increased, and the fault diagnosis difficulty is increased are solved. Power-frequency fault monitoring and travelling wave fault monitoring are combined, fault moment information is accurately extracted according to waveform information in a power-frequency fault, and travelling wave current at the fault moment is accurately extracted, so that fault real-time wave recording of fault components is realized, and the identifying precision of the waveform is improved. The monitoring method is simple and small in waveform error triggering number, and has the characteristic of real-time online ability.

The embodiment of the invention discloses a peanut leaf area index remote sensing monitoring method. The method concretely comprises the following steps of: obtaining spectral data; performing processing of the spectral data; and performing calculation of a leaf area index. The monitoring method is simple and easy, the result is more accurate, an influence of a satellite data operation period is overcome, multi-satellite cooperation monitoring is achieved, the monitoring efficiency is improved, rapid measurement of large-scale peanut leaf area indexes are achieved that is the greatest advantage of remote sensing monitoring, and other test methods cannot be compared with the peanut leaf area index remote sensing monitoring method provided by the invention.

The invention discloses an in-situ monitoring method and system for scour of soil around a bridge pile. The monitoring system comprises a feeler lever and a master control device, wherein the feeler lever comprises a lever body and four electrodes which are distributed in the length direction of the lever body at intervals; the electrodes comprise a first electrode, a second electrode, a third electrode and a fourth electrode sequentially from top to bottom; the first electrode and the fourth electrode serve as current electrodes; the second electrode and the third electrode serve as measuring electrodes; the distance between the first electrode and the second electrode is equal to that between the fourth electrode and the third electrode; the master control device comprises a master processor, a feeler lever power supply circuit and a potential measuring circuit; the feeler lever power supply circuit is respectively and electrically connected with the current electrodes and the master processor; the potential measuring circuit is respectively and electrically connected with the measuring electrodes and the master processor; the master processor controls the feeler lever power supply circuit to supply power for the current electrodes, and controls the potential measuring circuit to measure a potential difference between the two measuring electrodes. With adoption of the in-situ monitoring system disclosed by the invention, the scour of the soil around the bridge pile can be stably and efficiently monitored in situ with the simple structure and the low cost.

The invention discloses a non-navigable span pier collision avoidance monitoring system and a real-time diagnosis method. The system comprises sensors mounted on a bridge A, a bridge B and a bridge pier respectively, a data acquisition instrument and a data denoising instrument and the like. The monitoring system can realize online real-time monitoring of bridge pier ship collision, can directly and quickly carry out preliminary judgment on bridge damage degree in the first time of bridge pier ship collision, and can directly analyze impact force and important bridge pier structure reaction parameters and provide first-hand data support for bridge operation close, immediate maintenance decision, bridge pier component state assessment and damage identification; the monitoring system is reasonable in design principle, light in structure and high in impact force identification precision; the whole monitoring system is low in cost, and can be largely applied to the cross-sea and cross-river bridges without increasing engineering construction cost too much, thereby solving the problem of high cost of omnibearing collision avoidance monitoring; and the monitoring system is high in engineering applicability.

The invention discloses a real-time sensing and intelligent regulating system of the testee respiratory capacity and an implementation method of the real-time sensing and intelligent regulating system. The real-time sensing and intelligent regulating system comprises a vent valve, a flow sensor, a pulse sensor, a converter, a simulation operating system and a control chip, wherein the flow sensorwhich is used for monitoring the flow of a gas inlet is arranged in the gas inlet, the pulse sensor is used for monitoring the heart rate, the converter is used for converting the gas flow speed of the gas inlet and the heart rate monitoring result data, and is adapted through a computing storage to transmit the data to the simulation operating system; the simulation operating system is used for conducting fitting operations on the heart rate data and the respiratory capacity data according to a preset heart rate-respiratory capacity control model and assigning values of related relations to the control chip; the control chip is used for calculating the respiratory capacity according to the heart rate value which is transmitted in real time, comparing the respiratory capacity with actually-measured respiratory capacity, and sending a control instruction to a control valve. By means of the real-time sensing and intelligent regulating system of the testee respiratory capacity and the implementation method of the real-time sensing and intelligent regulating system, a precise estimation and automatic control system of a crowd behavior mode can be built, and a scientific basis is provided for accurately obtaining important parameters for monitoring air exposure behaviors of a tested crowd.