30results about How to "Efficient and accurate monitoring" patented technology

A method and system for monitoring traffic flow includes assigning a subset of sampling points to a node or unique pair of nodes. The sampling points are determined to be the most likely to monitor data traffic, and preferably all data traffic, associated with the node or node pair. The sampling point subset may automatically be determined and assigned to the node or node pair, based, for example, on historical traffic within the network. The method further includes collecting diagnostic network traffic data from the sampling points, and obtaining sampled traffic flow counts for a flow associated with a node pair from the diagnostic traffic data collected from the sampling points assigned to the source and destination nodes of the node pair. The method further includes performing a function on the sampled traffic flow counts to obtain an estimated traffic flow count for the respective flow.

A method of monitoring traffic flow within a network of nodes, and a recordable medium containing a computer program with instructions that, when executed, performs such method, is provided. The method comprises assigning sampling points to a node or unique pair of nodes. In one method, the sampling points contained within the assigned subset are determined to be the most likely to monitor data traffic, and preferably all data traffic, associated with the node or node pair. The sampling point subset may automatically be determined and assigned to the node or node pair, and such assignment can be based on historical traffic within the network. The method further comprises collecting diagnostic network traffic data from the sampling points, and obtaining sampled traffic flow counts for a flow associated with a node pair from the diagnostic traffic data collected from the sampling points assigned to the source and destination nodes of the node pair. The method further comprises performing a function, such as a combinatory function, on the sampled traffic flow counts to obtain an estimated traffic flow count for the respective flow. If multiple node pairs are monitored, a data traffic matrix containing a plurality of traffic flow counts can be generated.

To provide a display device having a shift register circuit capable of suppressing a current consumption from increasing. This display device is equipped with a shift register 30m. The shift register 30mincludes a p-channel transistor PT3 which is connected to an HVSS side, a 1st circuit part 31mwhich is connected to a clock signal line, a p-channel transistor PT8 which is connected to the HVSS side, and a 2nd circuit part 32mwhich is connected to the clock signal line. The p-channel transistor PT3 turns on in response to a clock signal HCLK. The 1st circuit part 31mhas a p-channel transistor PT5 which turns on in response to the output signal SRm+1(1st signal) of a shift regsiter 30m+1of a trailing stage to supply the clock signal HCLK to the p-channel transistor PT3. The p-channel transistor PT8 turns on in response to the clock signal HCLK. A 2nd circuit part 32mhas a p-channel transistor PT10 which turns on in response to the output siganl SRm-1(2nd singal) of a shift register circuit 30m-1of a precedent stage to supply the clock signal HCLK to the p-channel transistor PT8.

The invention discloses an on-line leakage intelligent monitoring system based on multi-parameter monitoring and a monitoring method. The monitoring system includes a front-end leakage detection connecting device installed on a monitored device and a rear leakage monitoring device connected with the front-end leakage detection connecting device, the front-end leakage detection connecting device includes a plurality of leakage detection connecting pipes and a first connecting joint, a plurality of monitoring holes are arranged in the monitored device, each monitoring hole is connected with an inlet of one leakage detection connecting pipe, the rear leakage monitoring device includes a pressure monitoring device, a gas monitoring device, an acid-base value monitoring device, a data acquisition instrument, a master control device and a leakage alarm device, The monitoring method includes steps of monitoring project selection, alarm threshold setting, monitoring setting, and online leakage monitoring. The on-line leakage intelligent monitoring system is reasonable in design, simple in use, operation, and connection, and good in use effect, and can monitor the leakage conditions of the monitored device in real time online, the monitoring manner is flexible, the monitoring result is reliable, and the later query is simple.

The invention provides a technology type hardware Trojan virus monitoring method and apparatus. The method includes thefollowing steps: determining key inner nodes in a to-be-tested chip and an electrical parameter reference value corresponding to each key inner node, on the basis of an external test enabling signal, determining the test sequence of the key inner nodes, successively acquiring the electrical parameter of the key inner nodes, comparing the acquired electrical parameters and the corresponding electrical parameter reference values, counting the times when the key inner nodes have electrical parameters deviated from corresponding electrical parameter reference values, if the counting is continuously greater than a threshold value, determining the presence of Trojan virus in the to-be-tested chip. In the whole process, on one hand, the key inner nodes are monitored at regular times and the acquired electrical parameters are compared with the corresponding electrical parameter reference values, such that the method takes the influence of technology interface sufficiently into consideration, and can efficiently and accurately monitor the technology type hardware Trojan virus.

The embodiment of the invention provides an engine detection method, an engine detection device and an engine detection system. The engine detection method comprises the following steps: arranging theengine detection device out of an engine controller to acquire to-be-analyzed performance parameters from the engine controller, wherein the to-be-analyzed performance parameters are performance parameters of an engine connected to the engine controller; and determining whether the engine is abnormal or not according to the to-be-analyzed performance parameters and pre-stored standard performanceparameters of the engine, and if so, generating alarm information. The engine detection device can take the pre-stored standard performance parameters of the engine as an analyzing standard of the to-be-analyzed performance parameters, so that the to-be-analyzed performance parameters can be analyzed quickly and accurately to know whether the engine is abnormal or not, and therefore, the engine is monitored efficiently and accurately.

The invention discloses an intelligent bearing monitoring system based on transient speed and the method of the system. The monitoring system is composed of an integrated signal conditioning circuit board and a vibration acceleration sensor circuit board so as to achieve conditioning and output of two paths of revolution speed transducer signals, two paths of temperature sensor signals and one path of three-shaft vibration acceleration signal. The acquired acceleration signal and pulse signal are processed to obtain a stationary angular domain signal, a stationary time domain signal and a transient rotation speed, and the method mainly comprises the following four steps: step 1, dividing a bearing into a plurality of areas in circumferential direction and mounting magnetic steel, rotating the magnetic steel along with the bearing to obtain a pulse signal through a Hall sensor; step 2, calculating a time difference between adjacent pulses to obtain a transient rotation speed of the bearing; step 3, performing equal interpolation on the time domain signal acquired by each area to obtain the stationary time domain signal; and step 4, resampling interpolation on the time domain signal according to the varying relation of the rotation speed to obtain the stationary angular domain signal. By adopting the monitoring system, the realtime conditioning and monitoring of three dynamic parameters such as rotation speed, temperature and vibration acceleration are overall achieved.

The invention discloses a monitoring and early warning system for hidden discharge of industrial waste water. The system comprises a flowmeter, a raindrop sensor, a rainfall analysis module, an automatic water sample collector and an alarm device; the system is arranged at a water outlet of a rainwater pipe net of an enterprise; the rainfall analysis module can analyze and calculate the total amount of rainwater runoff of a plant area in the raining process according to the total water catchment area, the runoff coefficient and average rainfall intensity of the plant area, the average rainfallduration, the rainwear collection amount at the primary stage and other parameters in a plant area range, can also analyze and compare the total amount of the rainwater runoff of the plant area withthe water flow of the flowmeter, and accordingly can judge whether or not the enterprise has hidden discharge behaviors. When hidden discharge behavior of the enterprise is monitored, the alarm deviceis automatically started, the automatic water sample collector is started to reserve and store samples of waste water which is hiddenly discharged, and following monitoring and analysis are facilitated. The water amount of the rainwater pipe net of the plant area of the enterprise is monitored, the hidden discharge behaviors of the enterprise are effectively prevented, the system has the advantages of being low in manufacturing cost, stable in performance, high in automation degree and the like, and the supervision force of the environmental supervision department to the stealing discharge behaviors of the enterprise can be effectively increased.

The invention provides a method for monitoring the running state of intelligent electric energy meters in a distribution network area. The method comprises the following steps: S1, collecting runningelectrical data of each intelligent electric energy meter corresponding to a bus in the area; S2, preprocessing the acquired electrical operation data, splicing and combining the preprocessed data, and constructing a spatio-temporal data set; S3, establishing a high-dimensional factor model of the spatio-temporal data set, obtaining a residual matrix from the high-dimensional factor model for analysis, and determining an optimal residual matrix; and S4, mining the statistical information of the optimal residual matrix, and monitoring the operation state of each intelligent electric energy meter according to a preset index system. According to the invention, the operation state of the intelligent electric energy meter can be monitored, and the metering monitoring efficiency and accuracy ofthe intelligent electric energy meter are improved.

The invention discloses a healthy sitting posture monitoring method and a monitoring system thereof, and relates to the technical field of healthy sitting postures. The healthy sitting posture monitoring method comprises the steps of: calculating a standard corner according to a front coordinate standard value or a downward coordinate standard value; obtaining the current organ coordinate value and the current sitting position corner of a client according to a client sitting position image, and determining whether a current sitting position is a non-standard sitting position or not; and determining whether the duration of the non-standard sitting position exceeds a time threshold value T1 or not or the non-standard sitting position moment in the time threshold value T1 exceeds M times. The front coordinate standard value, the downward coordinate standard value or the standard corner are calculated by adopting a front standard sitting position set and a downward standard sitting position set, and are pre-stored; the current organ coordinate value and the current sitting position corner of the client are obtained according to the client sitting position image, and it is determined whether the current sitting position is a non-standard sitting position or not; and it is determined whether the non-standard sitting position duration exceeds the time threshold value T1 or the non-standard sitting position moment in the time threshold value T1 exceeds M times, the monitoring of efficient and accurate of sitting positions is achieved.

The invention discloses an on-line fault monitoring method of a photovoltaic module. The method comprises the steps of controlling a positioning module to position the photovoltaic module so as to acquire position information of the photovoltaic module; controlling a temperature sensor to obtain a temperature value of the positioned photovoltaic module; comparing the temperature value of the positioned photovoltaic module with a preset temperature value; controlling a visible light camera to shoot and record the photovoltaic module to acquire picture and video of a fault photovoltaic module ifthe temperature value of the positioned photovoltaic module is larger than the preset temperature value, otherwise controlling the positioning module to position a next photovoltaic module, and returning to the step of controlling the temperature sensor to acquire the temperature value of the positioned photovoltaic module; and controlling a wireless communication module to send the picture, thevideo and the position information of the fault photovoltaic module to a communication base station. According to the on-line fault monitoring method of the photovoltaic module, a worker can be convenient to timely acquire various types of information of the fault photovoltaic module, and high-efficiency and accurate monitoring of the fault photovoltaic module is facilitated.

The invention relates to a bearing fault diagnosis method and system based on an improved BP neural network. The method comprises the steps of obtaining a training sample set containing annotation information, inputting the training sample set to an optimized BP neural network, and outputting a predicted fault type; determining a loss function according to the actual fault type and the predicted fault type, adjusting parameters of the optimized BP neural network according to the value of the loss function until convergence conditions are met, and storing the optimized BP neural network which is completely trained; and obtaining a to-be-detected vibration signal, extracting corresponding wavelet packet energy characteristics, inputting the wavelet packet energy characteristics into the well-trained optimized BP neural network, identifying and predicting a fault type, and performing fault diagnosis. According to the invention, the fault characteristics are extracted from the original data by using wavelet packet transformation, the efficiency and performance of the BP neural network in mechanical equipment fault diagnosis are improved, and efficient monitoring and diagnosis processes are realized.

A memory system and storage device are provided, including: an auxiliary power device having at least one capacitor, wherein the at least one capacitor has a first path for leakage current; a charging circuit including a switch connected to the auxiliary power device; and a state determining circuit connected to the auxiliary power device, wherein the state determining circuit includes a path circuit connected in parallel with the at least one capacitor to form a second path having at least one of a resistance lower than a resistance of the first path or a current source.

The invention discloses a transformer substation switch cabinet partial discharge state evaluation method based on a high-dimensional index. The method comprises the following steps: collecting phase decomposition partial discharge PRPD atlas data of a transformer substation switch cabinet; spectrogram construction and statistical characteristic calculation are carried out on the obtained partial discharge PRPD spectrogram data; performing preprocessing on statistical characteristics obtained by calculation of the atlas data, and constructing a spatio-temporal data set matrix; and based on a random matrix theory, sequentially selecting matrixes on the spatio-temporal data set matrix by adopting a moving sliding window method, constructing a statistical magnitude by utilizing a Chebyshev polynomial T3 to judge whether an abnormal value occurs, calculating the statistical magnitude of the matrix selected by a sliding window, and evaluating the state of the substation switch cabinet. The operation state of the transformer substation switch cabinet can be monitored, and the monitoring efficiency and accuracy of the transformer substation switch cabinet are improved.

The invention discloses a vehicle monitoring system based on the internet of vehicles. The system comprises a power supply system, a sensing system, a video shooting system, a storage system, a microprocessor, a network signal transmitter, an internet-of-vehicles platform and an alarm control system, the power supply system comprises a vehicle-mounted power supply mechanism and a solar energy power supply mechanism, and the solar energy power supply mechanism is arranged on the front potion of the top of a vehicle; the vehicle-mounted power supply mechanism and the solar energy power supply mechanism are connected with a first storage battery arranged in the vehicle through wires; the sensing system and the video shooting system are installed on a vehicle body of the vehicle and connectedwith the microprocessor through wires; the microprocessor is connected with the storage system and the network signal transmitter through wires, and the network signal transmitter is communicated withthe internet-of-vehicles platform and the alarm control system through wireless signals. The system is simple in structure and convenient to install and operate, and whether or not a vehicle is damaged can be more efficiently and accurately monitored.

The invention discloses an on-line leakage intelligent monitoring system based on multi-parameter monitoring and a monitoring method. The monitoring system includes a front-end leakage detection connecting device installed on a monitored device and a rear leakage monitoring device connected with the front-end leakage detection connecting device, the front-end leakage detection connecting device includes a plurality of leakage detection connecting pipes and a first connecting joint, a plurality of monitoring holes are arranged in the monitored device, each monitoring hole is connected with an inlet of one leakage detection connecting pipe, the rear leakage monitoring device includes a pressure monitoring device, a gas monitoring device, an acid-base value monitoring device, a data acquisition instrument, a master control device and a leakage alarm device, The monitoring method includes steps of monitoring project selection, alarm threshold setting, monitoring setting, and online leakage monitoring. The on-line leakage intelligent monitoring system is reasonable in design, simple in use, operation, and connection, and good in use effect, and can monitor the leakage conditions of the monitored device in real time online, the monitoring manner is flexible, the monitoring result is reliable, and the later query is simple.

The invention relates to a road early warning system and method and a remote early warning device of the road early warning system. The road early warning method is achieved through the remote early warning device and the road early warning system, a driver is accurately reminded of road conditions through the combination of alarms, a subtitle electronic display screen and a warning lamp, the nerve of the driver can be stimulated through the high-frequency alarms, and then the better warning effect is achieved. The road early warning system can efficiently and accurately monitor and position accident positions, the early warning method is simple, the safety coefficient is high, and the occurrence rate can be effectively decreased before rescue workers arrive at the scene.

The present invention relates to the technical field of artificial intelligence, and in particular to an artificial intelligence-based risk detection method for power distribution equipment. Calculate the matching degree of any two charging piles in the charging area based on the historical operating data, historical running time and health score of the charging pile; obtain the matching pair of charging piles based on the matching degree; based on the real-time operating data and health score of the charging pile Calculating the operating state similarity of the two charging piles in the charging pile matching pair; monitoring the operating state similarity of each charging pile matching pair, and detecting the risk of the power distribution equipment. The invention can accurately monitor the state of the charging pile.

The invention relates to the technical field of artificial intelligence, in particular to a power distribution equipment risk detection method based on artificial intelligence, and the method comprises the steps: obtaining the historical operation data of charging piles, and calculating the health degree score of each charging pile based on the historical operation data; calculating the matching degree of any two charging piles in the charging area according to the historical operation data, the historical operation duration and the health degree score of the charging piles; obtaining a charging pile matching pair based on the matching degree; based on real-time operation data and health degree scores of the charging piles, calculating the operation state similarity of the two charging piles in the charging pile matching pair; monitoring the operation state similarity of each charging pile matching pair, and detecting the risk of the power distribution equipment. According to the invention, the state of the charging pile can be accurately monitored.

The invention discloses a platform state display method and system based on geographic information. Equipment needing to be monitored is centralized in a map or a stellar map to be displayed, the operating state of the system is rapidly displayed in visual modes such as colors, lines and distances, and the purpose of efficient and precise monitoring is achieved. Compared with the prior art, the operating state of the system can be more visually displayed, the equipment with faults can be more rapidly found, and therefore user experience can be better improved.

The embodiment of the invention provides an engine detection method, an engine detection device and an engine detection system. The engine detection method comprises the following steps: arranging theengine detection device out of an engine controller to acquire to-be-analyzed performance parameters from the engine controller, wherein the to-be-analyzed performance parameters are performance parameters of an engine connected to the engine controller; and determining whether the engine is abnormal or not according to the to-be-analyzed performance parameters and pre-stored standard performanceparameters of the engine, and if so, generating alarm information. The engine detection device can take the pre-stored standard performance parameters of the engine as an analyzing standard of the to-be-analyzed performance parameters, so that the to-be-analyzed performance parameters can be analyzed quickly and accurately to know whether the engine is abnormal or not, and therefore, the engine is monitored efficiently and accurately.

The invention relates to a damage monitoring method and system for a fan blade protective paint based on audio signals. The method comprises a training stage and an online operation stage. Sound signals including fan sweeping pneumatic noises within a period of time are collected through audio equipment, and real-time monitoring and fault diagnosis of fan blade protective paint damage are achieved by analyzing the sound signals. According to the method, the health state stage of the blade can be monitored in real time, and meanwhile, the purpose of nondestructive testing is achieved. Meanwhile, early warning can be carried out on the deteriorated blade, and the maintenance time point is guided.

The invention provides a technology type hardware Trojan virus monitoring method and apparatus. The method includes thefollowing steps: determining key inner nodes in a to-be-tested chip and an electrical parameter reference value corresponding to each key inner node, on the basis of an external test enabling signal, determining the test sequence of the key inner nodes, successively acquiring the electrical parameter of the key inner nodes, comparing the acquired electrical parameters and the corresponding electrical parameter reference values, counting the times when the key inner nodes have electrical parameters deviated from corresponding electrical parameter reference values, if the counting is continuously greater than a threshold value, determining the presence of Trojan virus in the to-be-tested chip. In the whole process, on one hand, the key inner nodes are monitored at regular times and the acquired electrical parameters are compared with the corresponding electrical parameter reference values, such that the method takes the influence of technology interface sufficiently into consideration, and can efficiently and accurately monitor the technology type hardware Trojan virus.

The monitoring system of the present invention is composed of an integrated signal conditioning circuit board and a vibration acceleration sensor circuit board, which can realize signal conditioning and signal output of two speed sensors, two temperature sensors and one triaxial vibration acceleration signal. Process the collected acceleration signal and pulse signal to obtain the angular domain and time domain stable signal and instantaneous speed. There are four main steps: Step 1. Divide the bearing into several areas in the circumferential direction and install the magnetic steel. The magnetic steel rotates with the bearing. The Hall sensor obtains the pulse signal; step 2, calculate the time difference between adjacent pulses, and obtain the instantaneous rotational speed of the bearing; step 3, obtain a time domain stable signal by equal interpolation of the time domain signals collected in each area; step 4 , according to the relation of speed variation, the time domain signal is interpolated and resampled to obtain the angle domain stationary signal. The present invention generally realizes the real-time adjustment and monitoring of the three dynamic parameters of rotation speed, temperature and vibration acceleration.

The invention discloses a transformer substation monitoring device, and the device comprises monitoring assemblies symmetrically arranged on the left side and the right side; the monitoring assembliesare connected through telescopic pieces, each monitoring assembly comprises a rectangular rack rod, suspensions arranged at intervals front and back are assembled on the front side and the rear sideof the top of each rectangular rack rod, and each suspension comprises a horizontal part assembled on the corresponding rectangular rack rod; inclined parts are obliquely arranged on the left side ofthe horizontal part upwards, a monitoring part is assembled between the inclined parts, the monitoring part comprises a rectangular mounting frame rod assembled on the inclined parts, traction rods obliquely arranged on the front side and the rear side of the rectangular mounting frame rod downwards, and a plurality of sensor probes are fixedly connected to the rectangular mounting frame rod; anda driving wheel part is assembled on the rectangular rack rod. By adopting the device part design, the transformer substation working equipment can be efficiently and accurately monitored, and the device part design replaces manual inspection monitoring, so that the safety working characteristic of the transformer substation working equipment is effectively improved.

The invention provides a 5G-oriented metamaterial structure broadband antipodal Vivaldi antenna and a measurement method thereof. The solution includes a first metal radiation sheet, a second metal radiation sheet, a director, a dielectric substrate, and a metamaterial structure array with a side length g1; the first metal radiation sheet and the second metal radiation sheet are centered on the dielectric substrate centerline The symmetry axes are respectively symmetrically printed on the front and back sides of the rectangular horizontal plane in the dielectric substrate, and four rectangular groove lines are respectively etched on the first metal radiation sheet and the second metal radiation sheet; wherein, the angles between the rectangular groove lines and the center line of the dielectric substrate are respectively is 60°; the metamaterial structure takes the central feed line of the dielectric substrate as the symmetry axis, and is symmetrically distributed left and right; the first metal radiation sheet and the second metal radiation sheet include an inner gradient line and an outer gradient line. This solution can extend the antenna bandwidth, improve the radiation gain in the frequency range under high frequency conditions, and suppress the beam deformation caused by the increase in radiation gain under low frequency conditions, and maintain the high gain and beam symmetry characteristics of the antenna.

A monitoring method of a steelmaking process in a steelmaking vessel, wherein matters Mn, each having its respective properties PMn, are charged into said steelmaking vessel so as to produce a liquid steel and a slag.

The invention relates to the field of unmanned aerial vehicle (UAV) measurement, in particular, the use of unmanned aerial vehicles to measure the inclination of utility poles, and specifically provides a system for monitoring the inclination of utility poles by unmanned aerial vehicles based on synchronous positioning and mapping. The system includes a utility pole structure model database module, a UAV flying line and measurement module, and a UAV data processing module. According to the three-dimensional coordinate data of the utility pole and the pose data of the drone, the central axis of the utility pole is fitted and Calculate the inclination of the utility pole. The invention can monitor the situation of the utility pole in real time, improve the monitoring efficiency to the greatest extent, reduce the labor cost and facility cost of monitoring, and can also realize the measurement of the inclination of the utility pole in an unknown environment and without a positioning system, ensuring more Intelligent, efficient and accurate monitoring of utility poles, quickly find hidden utility poles and notify them, and strengthen intelligent maintenance and inspection work; it has the advantages of accuracy, stability, ease of use and functionality.

The invention provides a passive distribution system monitoring method and device, equipment, a medium and a program product. A signal monitoring node end obtains a monitoring instruction sent by a server end through a wireless network; performing periodic signal detection on each indoor distribution antenna according to the monitoring instruction to determine monitoring data; then the monitoring data is sent to a server through a wireless network; enabling the server to analyze the monitoring data through a data application platform so as to determine a monitoring result; and the user side receives the monitoring result which is sent by the server side and is used for representing the quality of the signal sent by each indoor distribution antenna in the passive distribution system through an application program and a wireless network, and outputs and displays the monitoring result on the mobile terminal, so that a user can check the monitoring result conveniently. The technical problems of low monitoring efficiency and poor monitoring effect of monitoring the indoor passive distribution system in the prior art are solved.