35results about How to "Not easily affected by environmental factors" patented technology

The invention discloses an optical fiber sensor-based natural gas pipeline leakage monitoring method and an optical fiber sensor-based natural gas pipeline leakage monitoring system. Optical fibers in a communication optical cable which is laid in the same channel of an oil and gas pipeline respectively serve as a transmitting optical fiber and a returning optical fiber; pipeline leakage optical fiber sensors are connected in parallel between transceiving transmitting optical fibers to form an optical path by an optical multiplexing technology; the pipeline leakage optical fiber sensors are uniformly arranged along the pipeline; laser light emitted from a light source is subjected to beam splitting through a transmission optical path and is transmitted to the sensors arranged on the wall of the pipeline; after the sensors pick up leakage vibration signals and noises propagated along the pipeline, the leakage vibration signals and the noises are returned to a photoelectric detector part of the system through the transmission optical path; the acquired vibration wave signals are analyzed and processed; and the position of a vibration wave source is determined by combining the propagation speed of the vibration wave on a pipeline body according to the time delay of the vibration waves propagated to a plurality of adjacent optical fiber sensors. By the method and the system, the flexibility is high; and the positioning accuracy is high.

The invention discloses an optical fiber sensor-based natural gas pipeline leakage monitoring system. The optical fiber sensor-based natural gas pipeline leakage monitoring system comprises an optical path system and a circuit. optical fiber sensors are arranged on a pipeline body at certain intervals; a plurality of adjacent optical fiber sensors form an optical fiber sensor group; the optical fiber sensor groups are connected with a light source through one transmitting optical fiber; each optical fiber sensor group is connected with an photoelectric detector through a return optical fiber; the output of the photoelectric detector is connected with a signal acquisition and processing module with leakage signal identifying and event positioning functions; and the output of the signal acquisition and processing module is connected with a microcomputer through an external interface. By the method and the system, the flexibility is high; and the positioning accuracy is high.

The invention discloses an SF6 gas leakage on-line monitoring and alarming system. The SF6 gas leakage on-line monitoring and alarming system consists of a remote end and an on-site end which are connected through a data wire, wherein the on-site end comprises an ultrasonic measurement module, an infrared measurement module, an ARM controller, an RS485 communication module, a relay control module, an AC220-DC24 / 5V switching power supply and an AC220V wiring terminal; the remote end comprises a remote control module and a data analysis module. In the detection of the SF6 gas leakage on-line monitoring and alarming system, an infrared measurement principle and an ultrasonic measurement principle are reasonably combined; a detection process of the system comprises ultrasonic measurement first, and then if SF6 concentration is detected to exceed a standard, then infrared measurement is started, so that the problem that the expense is relatively high due to frequent measurement is solved, the ultrasonic measurement can be supplemented so as to improve the detection precision; therefore, the detection method makes full use of the advantages of the ultrasonic measurement and the infrared measurement, the defect that in the prior art, the SF6 concentration is measured by a single sensor is overcome, and the precision and flexibility of SF6 concentration detection are improved.

The invention discloses an optical fiber sensor-based natural gas pipeline leakage monitoring method, an optical fiber sensor-based natural gas pipeline leakage monitoring system and a system construction method. Optical fibers in a communication optical cable which is laid in the same channel of an oil and gas pipeline respectively serve as a transmitting optical fiber and a returning optical fiber; pipeline leakage optical fiber sensors are connected in parallel between transceiving transmitting optical fibers to form an optical path by an optical multiplexing technology; the pipeline leakage optical fiber sensors are uniformly arranged along the pipeline; laser light emitted from a light source is subjected to beam splitting through a transmission optical path and is transmitted to the sensors arranged on the wall of the pipeline; after the sensors pick up leakage vibration signals and noises propagated along the pipeline, the leakage vibration signals and the noises are returned to a photoelectric detector part of the system through the transmission optical path; the acquired vibration wave signals are analyzed and processed; and the position of a vibration wave source is determined by combining the propagation speed of the vibration wave on a pipeline body according to the time delay of the vibration waves propagated to the adjacent optical fiber sensors. By the method and the system, the flexibility is high; and the positioning accuracy is high.

The invention provides a natural gas pipeline leakage monitoring method based on optical fiber sensing. Optical interference type leakage sensors are arranged on a pipeline body at certain intervals to continuously monitor a vibration wave signal in real time, which is transmitted along the pipeline body; the collected vibration wave signal is subjected to analysis and process, including type identification and vibration source positioning; the type identification is used for extracting and analyzing a vibration wave characteristic to judge whether the vibration wave characteristic belongs to a leakage type; meanwhile, time delaying of transmitting vibration waves to adjacent optical fiber sensors is combined with a transmission speed of the vibration waves on the pipeline body to realize the positioning of a vibration wave source; and each sensor adopts an optical fiber interferometer structure, and an optical fiber Michelson interferometer or an optical fiber Mach-Zehnder Interferometer is used as a leakage vibration wave detection sensor. The natural gas pipeline leakage monitoring method based on the optical fiber sensing has high sensitivity and high positioning accuracy.

The invention provides an online fan blade damaging real-time diagnosis system and method, and belongs to the technical field of damage diagnosis of fan blades. The system comprises a quad-rotor unmanned plane, a cloud database and a computer system; the quad-rotor unmanned plane captures the images of the fan blades in real time and transmits the images to the computer system in real time; the cloud database stores an image library used for a VGG-19 net image classification method, and images in the image library stored in the cloud database are dynamically captured from a network; the computer system is used for obtaining an improved VGG-19 net image classification method through training of the image library, and the received fan blade images from the quad-rotor unmanned aerial vehicle are classified by using the improved VGG-19 net image classification method to obtain fan blade damage diagnosis classification and damage grade classification results.

The invention relates to a frequency modulation detection target echo simulation method based on a fractal theory. The method comprises the following steps: triangular wave linear frequency modulationsignals are generated; the fractal theory is adopted to obtain DEM data of a three-dimensional terrain; through an equal Doppler ring-equal distance method, the DEM data are used as terrain data to build a scattering element model, and echoes of a scattering unit are simulated; and the echoes of all scattering units in a radar antenna beam irradiation area are stacked to realize simulation on theground echoes. The problems that an outfield test takes a long time and costs much money can be solved, and compared with other echo simulation methods, the method of the invention considers influences of the three-dimensional terrain on echo simulation, and the data are more real and effective.

The invention discloses a tractor and trailer positioning method and system, a storage medium and a vehicle, and the method comprises the following steps: fixing an identification plate base on the front surface of a semitrailer, arranging an identification plate on the identification plate base, collecting the point cloud data of the semitrailer and the tractor in an unhooking state, building a minimum bounding box, calculating the point cloud data, and determining the position of the semitrailer and the trailer. Obtaining a first center coordinate of the identification plate; setting small neighborhood search according to the obtained first center coordinate of the identification plate, performing plane equation fitting on point cloud data obtained by the small neighborhood search, and calculating a normal vector of the front surface of the trailer; setting a large neighborhood search according to the obtained first center coordinate of the identification plate, classifying and sorting point cloud data obtained by the large neighborhood search, and screening the point cloud data on a plane and the wiring harness thereof; and searching boundary points of the wire harnesses corresponding to the width of the base of the identification plate, screening the wire harnesses on the plane, and calculating to obtain a secondary center coordinate of the identification plate. Therefore, the relative position of the tractor and the trailer can be quickly and accurately determined.

The invention provides an evaluation method for household air conditioner refrigerating efficiency. The method comprises the steps that different operating environmental parameters of a new air conditioner and a database of a corresponding operating temperature variation curve are established; operating environmental parameters of an old air conditioner are matched to the operating environmental parameters of the established new air conditioner of the same type to obtain the operating temperature variation curve family of the matched new air conditioner of the same type; the operating temperature variation curve family of the new air conditioner matched to the operating parameters of the old air conditioner is clustered to obtain a clustered center; the average Euclidean distance between an operating temperature variation curve of the old air conditioner and the clustered center of the operating temperature variation curve family of the new air conditioner of the same type is computed;the refrigerating efficiency of the old air conditioner is evaluated according to the value of the average Euclidean distance. The method has the advantages that auxiliary judgement can be well provided for the early discovery and eliminating of the faults of a household air conditioner, and a large amount of labor force and materials resources are saved.

The invention relates to a smoke detection algorithm based on video analysis. The algorithm comprises the steps of making a training set, firstly, obtaining a smoke-containing picture from an existingforest smoke video; manually labeling a smoke-containing area, manufacturing a label image, training a full lap machine network model, obtaining the suspected smoking area in the single frame image by using the trained network model, carrying out the dynamic growth analysis on the suspected smoking area, calculating a formula of the area sum of the suspected smoking area corresponding to a continuous video sequence, and calculating a formula of the relative growth of the suspected smoking area. According to the present invention, the forest smoke detection based on the rotary lens is realized, the forest fire is alarmed, the effect of early prediction of the forest fire is achieved, the economic loss caused by the fire is reduced, and a better prospect is brought.

The invention discloses a live pig diet abnormity intelligent monitoring method and a live pig diet abnormity intelligent monitoring system. The system comprises a live pig diet data acquisition layer, a live pig diet data transmission layer and a live pig diet abnormity intelligent monitoring layer. The live pig diet data is uploaded to the live pig diet abnormity intelligent monitoring layer through the Ethernet of the live pig diet data transmission layer. The live pig diet abnormity intelligent monitoring layer processes, judges, displays and alarms the acquired diet data. The system is reasonable in design, low in cost, simple in structure, small in size, high in stability, not prone to being influenced by environmental factors and friendly in man-machine interaction. The intelligentlevel of live pig diet abnormity monitoring is improved. The manual dependence degree is reduced, and the live pig diet abnormity monitoring efficiency is improved.

The invention provides an audio detecting system of a moving vehicle. The system comprises a plurality of MEMS microphone modules which are in an array and are used for acquiring a tire sound signal of the moving vehicle and converting the acquired sound signal to a digital signal. The plurality of MEMS microphone modules are connected with a signal processing unit. The signal processing unit receives the digital signal of the plurality of MEMS microphone modules, and processes the digital signal for calculating the positioning information of the vehicle, wherein the signal processing unit executes the following instructions for calculating the positioning information of the vehicle: the signal processing unit is connected with a communication module; the calculated vehicle positioning information is output through the communication module. The audio detecting system of the moving vehicle realizes high convenience in mounting and maintenance and can effectively reduce influence of an environment factor in a vehicle positioning process.

The invention discloses a self-adaptive decoupling control method of a fuel cell air supply system, which is used for realizing decoupling control of flow pressure of the fuel cell air supply system in different environments, and comprises the steps of expected signal preprocessing, PID feedback controller processing, decoupling controller processing, sensor signal processing and the like. The expected signal preprocessing is used for converting expected mass flow and pressure signals into volume flow and pressure ratio signals, and the PID feedback controller obtains values of control quantities of a flow control loop and a pressure control loop through volume flow errors and pressure ratio errors; the fuel cell cathode pressure is relatively independently adjusted through the decoupling controller, and the sensor signal processor is used for converting mass flow and pressure signals fed back by a fuel cell system into volume flow and pressure ratio signals. Compared with the prior art, the method has the advantages of being high in environmental adaptability, good in dynamic tracking performance, convenient in controller design and the like.

The invention discloses a wireless transmission coupling contact type escalator hand strap temperature monitoring system which comprises an on-site monitoring end, a remote monitoring end and a plurality of detection probing wheels. Each probing wheel comprises an installation support, a wheel frame, a wheel shaft, a coupling tire, a plurality of probes, an angle sensor, an environment temperaturesensor and a collector, wherein the coupling tire is installed on the wheel shaft and used for abutting against the hand strap and being driven by the hand strap to rotate, the probes are uniformly mounted on the inner circle surface of the coupling tire in the circumferential direction, each probe comprises a wireless transmission module and a magnetic flux and temperature sensor module, each magnetic flux and temperature sensor module is used for collecting the magnetic flux and temperature of the hand strap, and the angle sensor is connected with the wheel shaft. The remote monitoring endobtains the temperature state and the stress state of the hand strap based on the detected temperatures and magnetic flux. By the adoption of the wireless transmission coupling contact type escalatorhand strap temperature monitoring system, temperature and magnetic flux data are collected and can be used for fault analysis, positioning and prediction, and reliable data support is provided for timely maintenance of the hand strap.

The invention discloses a leak detection robot for SF6 gas in a substation GIS equipment, which comprises a remote control device, a walking device and a directional leak detection device for the gas arranged on the walking device. The directional leak detection device for the gas comprises an infrared detection module, an ultrasonic detection module, a second control module and a signal transmitting module. The infrared detection module comprises an infrared transmitting module, an infrared reflecting plate and an infrared receiving and processing module. The ultrasonic detection module comprises an ultrasonic transmitting module and an ultrasonic receiving and processing module. Output terminals of the infrared receiving module and the ultrasonic receiving and processing module are respectively electrically connected with an input terminal of the second control module. The ultrasonic detection module and the infrared detection module are arranged on the walking device, so that the leak detection robot for the SF6 gas in the substation GIS equipment not only can detect the leakage of the SF6 gas in time, but also can detect the concentration of the SF6 after the leakage, so as to guarantee safety of personal and equipment to the maximum extent.

The invention discloses an S-shaped driving behavior detection method for an automobile in a weighing area of a dynamic flat-plate scale. The method comprises the steps of using a camera on one side of a road for collecting a flat scale area image and inputting a contour anomaly detection neural network for analysis; when the contour is normal, inputting the flat scale area image into a flat scalesensing neural network to obtain a flat scale semantic segmentation map; performing edge perception on the flat scale semantic segmentation graph by utilizing the edge contour graph and a flat scaleedge perception neural network to obtain a flat scale edge point distribution graph; carrying out straight line fitting on the edge points, and carrying out perspective transformation to obtain a flatscale edge line top view; detecting a wheel landing point in the acquired automobile image; converting the detected coordinates of the wheel landing point and the top view of the edge line of the flat scale into the same coordinate system, and judging whether the automobile has an S-shaped driving behavior or not according to the position relationship between the wheel landing point and the edgeline of the flat scale. According to the invention, the S-shaped driving behavior of the weighing automobile can be accurately identified.

The invention discloses a dynamic detection method and detection device of a peak expiratory flow meter, being characterized in that through the standardized simulated blowing of the peak expiratory flow meter to be detected, the set of air pressure values received by the set point in the piston is converted into the waveform of the simulated measurement result, and the waveform of the simulated measurement result is compared with the waveform of the detected airflow to determine whether the quality of the peak expiratory flow meter to be detected is qualified or not. The disclosed a dynamic detection method of a peak expiratory flow meter and a detection device thereof, are suitable for quality detection of all commonly used expiratory peak expiratory flow meters at present, and are convenient to use, accurate and reliable in detection result.

The invention discloses a laser induction strip and an induction method. The laser induction strip comprises a control chip, a PCB circuit board, a laser transceiver, a bottom plate and a cover plate,wherein the control chip is installed on the PCB circuit board, the laser transceiver is connected with the PCB and is electrically connected with the control chip, the PCB is mounted on the bottom plate, the cover plate covers an upper part of the PCB circuit board and is fixedly connected with the bottom plate, and two ends of the PCB are connected with a USB interface. According to the laser induction strip and the induction method provided by the invention, the induction distance is obtained by calculating the time difference between photon emission and reflection, so calculation accuracyof the distance of an induction object can be improved, and the induction distance of an object is increased.

The invention relates to a thermal field distribution measurement system of a sonic nozzle pipe wall, which includes an adiabatic fixture for clamping a sonic nozzle in a fluid channel, and a miniature thermocouple array for collecting the section temperature of a sonic nozzle, and the adopted sonic nozzle is made of metal In this way, the heat-insulating fixture is made of heat-insulating material, including two fixture units that can be disassembled and can be fixedly connected together, each fixture unit includes a fixture shell and a clamping column located on the axis of the fixture, and the clamping column The middle part of the body is provided with a through fluid channel, and the ends of the clamping cylinders of the two clamp units are respectively sealed and connected with one end of the sonic nozzle, so that the sonic nozzle is fixed on the axis of the heat insulating fixture and communicated with the fluid channel. After the fixture unit is fixedly connected, an annular gap is formed between the fixture shell and the clamping cylinder; thermocouple implantation holes with different positions and different depths are provided on the body of the sonic nozzle for implanting a thermocouple sensor array.

The invention discloses an improved expansion seal composition and products thereof, and the expansion seal composition preferably comprises 10-60wt% expansion agent and 20-80% binder. The expansion agent and the binder are mixed evenly first and then coated on a carrier film to form a coating with a certain thickness; a flame retardant can be added in the composition. The expansion seal composition and the products thereof have a good weatherability, and won't be influenced b environment factors like air humidity.

The invention discloses a pig diet abnormal intelligent monitoring method and system, comprising a pig diet data acquisition layer, a pig diet data transmission layer, and a pig diet abnormal intelligent monitoring layer; the pig diet data is uploaded to the pig through the Ethernet of the pig diet data transmission layer Intelligent monitoring layer for abnormal diet; the intelligent monitoring layer for abnormal diet of pigs processes, judges, displays and alarms the collected dietary data. The invention is reasonable in design, low in cost, simple in structure, small in size, high in stability, not easily affected by environmental factors, friendly in human-computer interaction, improves the intelligence level of pig diet abnormality monitoring, reduces manual dependence, and improves pig diet Anomaly detection efficiency.

The invention discloses a coupling contact type magnetic flux and temperature detection probe wheel, which comprises a mounting bracket, a wheel frame, a wheel shaft, a coupling tire, probes, an angle sensor, an environment temperature sensor and a data acquisition and processing module, the coupling tire is mounted on the wheel shaft and used for abutting against an external moving part and being driven by the external moving part to rotate; the plurality of probes are uniformly arranged on the inner circular surface of the coupling tire in the circumferential direction; each probe comprises a wireless transmission module and a magnetic flux and temperature sensor module, and the magnetic flux and temperature sensor module is used for collecting magnetic flux and temperature of an external moving part; the angle sensor is connected with the wheel shaft; and the data acquisition and processing module obtains the temperature state and the stress state of the external moving part based on the detected temperature and magnetic flux. Temperature and magnetic flux data are collected and can be used for fault analysis, positioning and prediction, and reliable data support is provided for timely maintenance of external moving parts.

The invention discloses a method for coating two ends of a gold nanorod with silicon dioxide. The method comprises the following steps: (1) preparing a gold nanorod dispersion liquid by using a seed growth method; (2) centrifuging the obtained gold nanorod dispersion liquid, removing supernate, cleaning to obtain gold nanorods, and dispersing the gold nanorods in a CTAB (Cetyltrimethyl Ammonium Bromide) solution to obtain gold nanorod CTAB dispersion liquid; and (3) adjusting the pH value of the CTAB dispersion liquid of the gold nanorod to 8.5, adding an ethanol solution of TEOS at one time in a stirring state, stirring for 2 days, centrifuging, cleaning a separated substance with water and ethanol, and dispersing the separated substance in ethanol to obtain the gold nanorod with two ends coated with silicon dioxide. The synthesis method is simple and high in repeatability, and the obtained dumbbell-shaped silicon dioxide shell serves as a hard template and is not prone to being influenced by environmental factors.

The invention provides an evaluation method for household air conditioner refrigerating efficiency. The method comprises the steps that different operating environmental parameters of a new air conditioner and a database of a corresponding operating temperature variation curve are established; operating environmental parameters of an old air conditioner are matched to the operating environmental parameters of the established new air conditioner of the same type to obtain the operating temperature variation curve family of the matched new air conditioner of the same type; the operating temperature variation curve family of the new air conditioner matched to the operating parameters of the old air conditioner is clustered to obtain a clustered center; the average Euclidean distance between an operating temperature variation curve of the old air conditioner and the clustered center of the operating temperature variation curve family of the new air conditioner of the same type is computed;the refrigerating efficiency of the old air conditioner is evaluated according to the value of the average Euclidean distance. The method has the advantages that auxiliary judgement can be well provided for the early discovery and eliminating of the faults of a household air conditioner, and a large amount of labor force and materials resources are saved.

The invention discloses a method for detecting the S-shaped driving behavior of a vehicle in a weighing area of ​​a dynamic flat scale. Including: use the camera on the side of the road to collect the image of the flat scale area, input the contour abnormality detection neural network for analysis; when the contour is normal, input the flat scale area image into the flat scale perception neural network to obtain the flat scale semantic segmentation map; use the edge contour map And the edge-aware neural network of the flat scale performs edge perception on the semantic segmentation map of the flat scale, and obtains the distribution map of the edge points of the flat scale; performs straight line fitting on the edge points, and performs perspective transformation to obtain a top view of the edge line of the flat scale; detects and collects car images The wheel landing point in the vehicle; the detected coordinates of the wheel landing point and the top view of the edge line of the flat scale are transformed into the same coordinate system, and according to the positional relationship between the wheel landing point and the edge line of the flat scale, it is judged whether the car has an S-shaped driving behavior. The invention can accurately identify the S-shaped driving behavior of the weighing vehicle.

The invention discloses an optical fiber sensor-based natural gas pipeline leakage monitoring method, an optical fiber sensor-based natural gas pipeline leakage monitoring system and a system construction method. Optical fibers in a communication optical cable which is laid in the same channel of an oil and gas pipeline respectively serve as a transmitting optical fiber and a returning optical fiber; pipeline leakage optical fiber sensors are connected in parallel between transceiving transmitting optical fibers to form an optical path by an optical multiplexing technology; the pipeline leakage optical fiber sensors are uniformly arranged along the pipeline; laser light emitted from a light source is subjected to beam splitting through a transmission optical path and is transmitted to the sensors arranged on the wall of the pipeline; after the sensors pick up leakage vibration signals and noises propagated along the pipeline, the leakage vibration signals and the noises are returned to a photoelectric detector part of the system through the transmission optical path; the acquired vibration wave signals are analyzed and processed; and the position of a vibration wave source is determined by combining the propagation speed of the vibration wave on a pipeline body according to the time delay of the vibration waves propagated to the adjacent optical fiber sensors. By the method and the system, the flexibility is high; and the positioning accuracy is high.

The invention provides a moving vehicle audio detection system, the system includes a plurality of MEMS microphone modules in an array, used to collect tire sound signals of moving vehicles, and convert the collected sound signals into digital signals; the plurality of MEMS The microphone module is connected to a signal processing unit, and the signal processing unit receives digital signals of a plurality of MEMS microphone modules, and processes the digital signals to calculate the positioning information of the vehicle, wherein the signal processing unit executes the following instructions to calculate the positioning information of the vehicle : The signal processing unit is connected to a communication module, and outputs the calculated vehicle positioning information through the communication module. The invention is convenient for installation and maintenance, and can effectively reduce the influence of environmental factors in the vehicle positioning process.

The invention discloses an optical fiber sensor-based natural gas pipeline leakage monitoring system. The optical fiber sensor-based natural gas pipeline leakage monitoring system comprises an optical path system and a circuit. optical fiber sensors are arranged on a pipeline body at certain intervals; a plurality of adjacent optical fiber sensors form an optical fiber sensor group; the optical fiber sensor groups are connected with a light source through one transmitting optical fiber; each optical fiber sensor group is connected with an photoelectric detector through a return optical fiber; the output of the photoelectric detector is connected with a signal acquisition and processing module with leakage signal identifying and event positioning functions; and the output of the signal acquisition and processing module is connected with a microcomputer through an external interface. By the method and the system, the flexibility is high; and the positioning accuracy is high.