77results about How to "Many detection parameters" patented technology

The monitoring equipment includes microprocessor, video sensor in use for monitoring site of tunnel, and communication module for communication outside. Microproceesor includes following modules: reading module for image dada in use for reading information of video image transferred from video sensor; file storage module in use for storing data collected by video sensor to storage device; real time playing module on site connected to external display device is in use for playing monitored image on site in real time. Output of the video sensor is connected to microprocessor through communication. Using all directional computer vision sensor monitors tunnel site, processes and analyzes images. Using detected variation character for fire flame in early phase, the invention finds early fire in tunnel as well as obtains traffic data including vehicle flowrate, and occupancy ratio, speed, and traffic accident etc.

This invention relates to one park guide system based on computer visual sense, which comprises park label identification device on each field, car position information system statistic distribution device and one park guide controller, wherein the park guide controller comprise car position information receive module, position information code module to convert the collected car information into digital codes; the said codes is of 28 with previous 22 for park physical position information and afterwards 6 for detail position information; park position information process module generates each record for each car to establish one inquire entrance with relative digital codes for distribution.

The invention discloses a road traffic condition detection device based on panorama computer vision, comprising a camera device of each measuring point and a microprocessor, wherein the camera device is installed on each road on a road network; the microprocessor is used for evaluating road traffic condition according to the panorama video data of the camera device; and the microprocessor comprises a panorama image acquisition unit, a sampling point, a lane, a lane driving direction customization module, a road congestion state detection module and a road service level judgement module. The invention provides a road traffic condition detection device based on panorama computer vision, which has the advantages of wide detection range, high detection precision, good detection instantaneity and intuitional and clear detection result, is convenient to implement and is convenient to realize on an embedded system; in addition, the road traffic condition detection device has subjective perceptibility index data and objective perceptibility congestion data, and is convenient for each level of road network of a city to comprehensively evaluate the road traffic condition on the aspect of time and space.

The invention discloses a multifunctional sensor that is used for monitoring the corrosion of a reinforced concrete structure, relating to a sensor, and provides a multifunctional sensor that is used for monitoring the corrosion of a reinforced concrete structure and can simultaneously monitor electrochemical corrosion parameters of carbonization of concretes, Cl<-> concentration, corrosion status and corrosion speed of reinforcement metals and the like on the spot, as well as a preparation method of the multifunctional sensor. The multifunctional sensor is provided with a metal shell, a Cl<-> probe, a pH probe, a reinforcement metal electrode, a MnO2 reference electrode and external guide lines. The Cl<-> probe, the pH probe, the reinforcement metal electrode and the MnO2 reference electrode are prepared separately, and then arranged in the shell. The external guide lines of each probe and each electrode are connected with and extend from the metal shell, each probe and each electrode are sealed and fixed with the metal shell, and insulating materials are exposed at the upper ends of each probe and each electrode and the ends exposing outside are covered by pervious materials; connecting parts between the external guide lines and the metal shell are sealed.

The invention discloses a system for remotely monitoring the operation state of an engineering vehicle. The monitoring system consists of a vehicle-mounted terminal part, a data transmission part and a monitoring center part, wherein the vehicle-mounted terminal part comprises a monitoring parameter sensor, a data acquirer and a wireless data transmission terminal; the data transmission part comprises a general packet radio service (GPRS) wireless communication network and an Internet network; and the monitoring center part comprises Internet access equipment, a monitoring center computer and monitoring computer software.

A platform leveling device based on a cylindrical model comprises an all-dimensional tilt sensor shell, an LED lighting source, a closed transparent conical container, light-tight liquid, a camera, an embedded system, a power source, a compass, a platform, a platform supporting leg position servo control action unit and a platform supporting leg position servo control drive unit, wherein the closed transparent conical container is formed by combining two cones in the same size back to back; the container is filled with the light-tight liquid which is half the volume of the container; the non-light-tight part of the transparent conical container, which is shot by the camera in front, is analyzed, judged and computed to obtain the measurement parameters of the platform to be measured, such as tilt angle, tilt azimuth and the like; and the multi-supporting leg platforms which are irregularly arranged are horizontally and automatically adjusted by using the measurement parameters according to different leveling strategies. The device has good operability, high measurement accuracy, good stability, strong applicability, low manufacture cost and strong real time and safe reliability.

The invention discloses an online detection tester for a rotary drive pair mechanism. The online detection tester is characterized by comprising a first guide rail, a first drive motor, a first rigid coupling, a first supporting plate, a first torque sensor, a universal coupling, a second guide rail, an electric loading cylinder, a first spindle box, a first test piece, a second test piece, a second supporting plate, a second spindle box, a second rigid coupling, a second torque sensor, a third rigid coupling, a second drive motor, a base, an acceleration sensor, a temperature sensor, a displacement sensor and a pressure sensor. The acceleration sensor, the temperature sensor, the displacement sensor and the pressure sensor are used for detecting and controlling the other devices. The online detection tester can be used for online detection of material behaviors of friction pairs such as rings, rolls, ball and disc in a contact area on conditions of different loads and different rotational speeds, and can also be used for system testing of different transmission methods such as gear transmission, belt transmission, chain transmission and the like, and thus, surface change, friction abrasion, friction power consumption, stress, service behaviors of drive pairs during transmission can be analyzed.

The invention relates to a platform automatic leveling device based on machine vision, which comprises an omnibearing-inclined sensor shell, an LED lighting source, a transparent cone container, opaque liquid, a camera, an embedded system, a power source, a compass, a platform, a platform supporting leg position servo control unit and a platform supporting leg position servo control drive unit. The transparent cone container is combined into a closed container by using two cones with the same size in a back-to-back way, and the container contains the opaque liquid which is half of the volume of the container; the transparent part of the transparent cone container, shot by the camera in a positive body focus, is analyzed, judged and calculated to obtain measuring parameters, including incline angle, dip azimuth and the like of the tested platform, and then the platform is automatically leveled through the measuring parameters according to different leveling strategies. The invention has the advantages of simple maintenance and adjustment, high measurement precision and control precision, wide measurement range, low manufacturing cost, rich leveling means, real-time performance, security and reliability.

The invention relates to a coating failure monitoring probe and a rapid field coating failure monitoring method. The coating failure monitoring probe comprises a probe cavity, a probe inner core, a base plate and an outer guide line, wherein the probe inner core is located in the probe cavity, and the base plate is located at the bottom of the lower end of the probe cavity; the upper end of the probe cavity is provided with an opening; the probe inner core is composed of a working electrode, a reference electrode and an auxiliary electrode; the working electrode, the reference electrode and the auxiliary electrode are arranged on the base plate and are arranged at intervals; an insulating sealing layer is arranged between every two adjacent electrodes; and the top ends of the three electrodes form a working surface at the opening in the upper end of the cavity. The monitoring probe has the advantages of being simple in structure, high in response sensitivity, long in service life and high in reliability. The rapid field coating failure monitoring sensor has the advantages that an electrochemical impedance principle is adopted, the coating failure monitoring probe is combined with an alternating-current impedance tester, the detecting parameters are various, the response sensitivity is high, and therefore the aging state and the aging speed of coating in the service can be monitored in real time.

The invention relates to an omnibearing tilt sensor based on machine vision, comprising an omnibearing tilt sensor outer case, an LED (Light Emitting Diode) lighting source, a transparent cone container, light-proof liquid, a camera, an embedded system, a power source and a compass, wherein the transparent cone container is a closed container combined by two cones of the same size in a back to back mode; and the light-proof liquid is filled in the container, and the volume of the light-proof liquid is one half of the volume of the container. The light permeable part of the cone container is shot by a front body through the camera in the machine vision mode for analysis, judgement and calculation, and measurement parameters of measured objects, such as tilt angles, tilt azimuth angles, and the like, are obtained. The invention provides the omnibearing tilt sensor based on machine vision with the advantages of simple maintenance and adjustment, high measurement precision, wide measurement range, low manufacture cost, and strong real-time performance and safety as well as reliability.

The invention discloses a cutaneous sensitization detecting method based on a co-culturing mode of a three dimensional skin model and dendric cells. The cutaneous sensitization detecting method comprises the following steps : (1) preparing of the skin model in an early stage, (2) preparing and culturing of dendric cells, (3) constructing of co-culturing of the skin model and the dendric cells and exposing to-be-tested substances, (4) testing of activity of the skin model, (5) detecting of genome of the skin model, (6) detecting of secretion of lower layer cells of the co-culturing model, (7) detecting of expression of surface markers on the dendric cells, and (8) predicting of a statistic method and result. According to the cutaneous sensitization detecting method based on the co-culturing mode of the three dimensional skin model and the dendric cells, 3D skin which is reconstructed in vitro and has functions of barrier and metabolism and the dendric cells with the immunity function are combined together, a co-cultured novel experiment system is constructed and has similar functions and sensitization reaction with human bodies; the cutaneous sensitization of the to-be-tested substances can be evaluated from qualitative and quantitive aspects; and living animals and human bodies can be replaced through the method, and possible cutaneous sensitization caused by chemicals, cosmetics and drugs can be predicted directly.

The invention discloses a model method for measuring the flow rate of air-assisted liquid by a Coriolis mass flowmeter (CMF), which comprises the following three basic steps: 1) acquiring data by measurement: acquiring the data such as pressure value, instantaneous mass flow rate, medium density and medium temperature; 2) building models: building the relational model between density and air-assisted liquid flow density which are measured by the CMF, building the response model of the CMF, and building the drift-flux model of the air-assisted liquid; and 3) measuring the flow rate: estimating the flow density, the volume flow rate and the air void of the air-assisted liquid, and applying the drift-flux model to calculate instantaneous volume flow rate and the mass flow rate of gas and liquid. The model method for measuring the flow rate of the air-assisted liquid by the CMF has the advantages that the method is simple in structure, convenient to install, good in real-time performance, reliable, easy to realize and the like. The model method is applicable to measuring the air-assisted liquid. The model method can be used for measuring the flow rate of the air-assisted liquid. When the air void is less than 8%, the maximum relative error of liquid phase flow rate is 5%, and the maximum relative error of gas phase flow rate is 10%.

The invention provides an air quality detection system. The air quality detection system comprises a plurality of air quality detection devices distributed at various indoor positions. The multiple air quality detection devices are evenly arranged in various indoor areas, and the situation that in the prior art, an air quality detection device is only arranged at an air return port, and consequently detection is not comprehensive is avoided. On the basis, the air quality detection system is utilized, an air quality control system can be obtained, comprehensive and accurate detection parameterscan be obtained, accordingly the air quality of all indoor areas can be accurately judged, feedback is made in time, and uniformity of the indoor side air quality is achieved.

The invention provides a dual-probe manual ultrasonic detection method, and belongs to the field of conventional A ultrasonic detection. The method is a new detection method which is added when a manual A ultrasonic detection reflection method is used for performing normal detection. Particularly, main characteristics that a reflection angle of acoustic beams of ultrasonic waves in the same medium is equal to an incidence angle, wave mode switching is performed, and the like are used; two discrete probes, namely, a transmitting probe and a receiving probe, are used; and the position of the receiving probe is changed, so that direction flaws which form certain angles with the incidence acoustic beams are detected.

The invention discloses a multi-parameter rapid measuring and controlling device for an ultrasonic motor and a measuring and controlling method thereof. The device comprises an electric cylinder 1, anannular sleeve 3, a pressure sensor 4, a temperature collecting device 5, an ultrasonic motor 6, a rotary shaft 8, a torque sensor 9, an angle encoder 11, a coupling 12, a torque motor 14, a DC servodriver 15, a base 16, an AC servo driver 17, a driving acquisition circuit 18, a high frequency measurement and control module 19, a measurement and control processor 20 and the like. Therefore, sixparameters including the amplitudes, frequencies, phase differences, precompression values, and load torques and the like of two-phase excitation voltages can be changed in real time during the testing process; and thirteen parameters including the output shaft angular velocity, the angular position, the stator interface temperature and the axial compressive force and the like of the ultrasonic motor can be measured and calculated simultaneously. With the provided multi-parameter rapid measuring and controlling device, the comprehensive and rapid testing demand of the ultrasonic motor can be satisfied; and the multi-parameter rapid measuring and controlling device have advantages of multiple detection parameters, high precision of measurement and control, high test efficiency and high degree of automation.

The invention discloses a driving fatigue degree detection regression model based on a dual network result, comprising the following steps: S1, acquiring an existing data set of a human face in different angles or collecting videos shot by a camera in static and moving vehicles as sample video data, and carrying out size treatment and manually annotating; S2, inputting a picture set processed in the step S1 into a first convolutional network, and obtaining a head candidate window and a head state by the convolutional network; S3, processing a picture set with the heads not lowered in the headcandidate window in the step S2, then inputting into a second convolutional network, and obtaining states of human eyes and mouths; and S4, inputting numbers of lowering the head, closing the eyes andyawning per minute into a regression model, optimizing parameters by adopting a gradient descent algorithm, and finally outputting fatigue degree. The driving fatigue degree detection regression model disclosed by the invention carries out statistics on frequencies of facial features and realizes fatigue detection by establishing a regression model.

The invention discloses a portable dynamic detection method and system for braking performance of automobile wheels. The method comprises steps as follows: three-dimension acceleration of the wheels is sensed by triaxial accelerometers of wheel testing modules, and a braking detection signal is sensed by a pedal force sensor; the signal is output by a wheel tangential acceleration sensor, wheel signal characteristic quantity is extracted through wavelet transformation noise reduction treatment and short-time Fourier transform operation, and rotating period, rotating frequency and angular velocity of the wheels are obtained; braking distance, speed and initial braking speed of an automobile body as well as wheel braking deceleration are calculated according to angular velocity parameters ofthe wheels; inequality of braking deceleration balance of the left and right wheels is calculated according to wheel braking deceleration parameters; MFDD (mean fully developed braking deceleration)is calculated according to initial baking spedd and braking distance parameters of the automobile body; braking coordination time is calculated according to the braking detection signal and MFDD parameters. The system comprises the wheel detection modules, round movable hub catch plates, the pedal force sensor and an in-vehicle central control module.

The invention discloses a dynamic monitoring method and system for the safety performance of an automobile wheel. The method comprises the steps: respectively sensing the three-dimensional acceleration of the suspension and the three-dimensional accelerations, the three-dimensional angular velocities, the three-dimensional geomagnetic intensities and the tire pressure temperatures of a vehicle body and a wheel by using a combined sensor; calculating a motion attitude parameter of the vehicle body through the three-dimensional acceleration parameter, the three-dimensional angular velocity parameter of the vehicle body and the three-dimensional geomagnetic intensity parameter of the vehicle body; calculating a motion attitude parameter of the wheel through the three-dimensional accelerationparameter, the three-dimensional angular velocity parameter and the three-dimensional geomagnetic intensity parameter of the wheel; calculating a load parameter of the through the motion attitude parameter of the vehicle body, the motion attitude parameter of the wheel and the vertical acceleration of the suspension; outputting a signal through a wheel acceleration sensor, and obtaining a wheel braking parameter through signal processing; carrying out the fusion of the motion attitude data of the wheel, the dynamic load data of the wheel, the braking data of the wheel and the pressure temperature data of a tyre to obtain a change trend of the safety performance of the wheel. The system includes a wheel sensing module, a vehicle body sensing module, a suspension sensing module, and an in-vehicle central control module.

The invention discloses a water quality concentration calculation system and method based on a neural network and full-spectrum absorbance, and the system comprises a sample collection module, a data preprocessing module, an algorithm training module, and an information analysis module. Spectral data closest to water pollutants are obtained through denoising and scattering correction, deep mining training is performed on the spectral data and a measured water quality result by using a neural network algorithm, and a weight mapping relation among the spectral data, the measured water quality result and the hidden layer after fusion is established; the trained weight mapping relation is applied to the analysis of the full-spectrum absorbance data of the water body to be detected, so that more stable and accurate water quality result information analysis is obtained, and the result accuracy is effectively improved.