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.

The invention relates to a road traffic state detecting device based on omnibearing computer vision, comprising shooting devices and a microprocessor, wherein the shooting devices are installed on all measuring points in all roads in a road network; the microprocessor is used for evaluating the road traffic state according to the video data of the shooting devices and comprises a full-view image obtaining unit, a road service capability customizing unit, a road service level self-learning unit, a road service level judging unit, a detecting data processing unit and an artificial checking unit. The road traffic state detecting device based on omnibearing computer vision has wide detecting range, high detecting precision, good detecting instantaneity, convenient application, visual and clear detecting result, subjective sensitivity index data and objective evaluation index data and is convenient for all grades of road networks of a city to carry out comprehensive evaluation on the road traffic state in time and space.

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.

An electric park induce system based on omnibearing computer vision comprises a microprocessor, an omnibearing vision sensor for detecting the park condition in a parker, and a communication module communicated with outer space, wherein the vision sensor is mounted above the park, the microprocessor detects the condition of each park part to provide dynamic internal induction and external induction to park. The inventive park check method has wide check range, non-interference installment, low energy consumption in maintenance, abundant check parameters, visual property, reliable check, high accuracy, easy statistic, simple operation, expandable property, or the like.

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 belongs to the power-system high-voltage equipment insulation test technical field and discloses an insulator hydrophobic-nature classes-integrating judging method based on the D-S evidence theory. The technical proposal is as follows: a water-spraying classification method is adopted to collect the image information relevant to the hydrophobic nature and then the image information is processed with cutting, de-noising and dividing; then three hydrophobic-nature sub feature points are extracted according to the bead / water mark optical feature and shape information and the like. of the hydrophobic-nature images; then the extracted three sub feature points, i.e. area, shape and brightness are adopted as the features of three classifiers and the fuzzy rules are adopted to figure out the basic probability assignment function of each classifier; and finally the integration judging is carried out for the results of three classifiers according to the D-S evidence theory. The invention can effectively enhance the hydrophobic-nature identifying precision and reliability so as to overcome the defects in the prior art on accuracy, reliability and practicability and the like. and meet the requirement for the insulator hydrophobic-nature on-line test.

The invention relates to a transmission and friction experiment table for a multifunctional mechanical part. The transmission and friction experiment table comprises a first guiding rail, a second guiding rail, a first driving motor, a second driving motor, a first supporting plate, a second supporting plate, a first main shaft box, a second main shaft box, a first test-piece, a second test-piece,a first torque sensor, a second torque sensor, a first rigid coupler, a second rigid coupler, a third rigid coupler, a first supporting plate sliding driving motor, an universal coupler, a loading electric cylinder, a bedplate, an acceleration vibration sensor, a temperature sensor, a displacement sensor, a pressure sensor, a lubricating system, a cooling system and a general controlling computer. According to the invention, various low and high friction pairs in a contact zone can be tested online for frictional wear, energy consumption, vibration and material behaviors under the different loads, rotating speeds and lubrication conditions, and transmission parts and systems can be conducted with friction and transmission process experiments; when testing data is gathered, parts and systems to be tested can be analyzed for the following situations such as frictional wear, power consumption, stress and the service behaviors of transmission pairs, so that the behavior features, variation rules and failure mechanisms of research objects in the operating process can be obtained.

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.

The invention relates to a lightning monitoring and early warning method and system. The method comprises the steps of S1, detecting atmosphere average electric fields, optical radiation signals, electric field changing signals, magnetic field changing signals and GPS satellite signals of an area to be monitored and conducting signal conditioning and conversion, S2, judging whether the electric field changing amount meets preset triggering conditions or not according to the electric field changing signals, conducting signal collection and storage and executing the step S3 if the electric field changing amount meets the preset triggering conditions, and refreshing and awaiting if the electric field changing amount does not meet the preset triggering conditions, S3, conducting waveform characteristic extraction on the collected optical radiation signals, the collected electric field changing signals and the collected magnetic field changing signals, conducting cloud-to-ground lightning identification and location according to extracted characteristic parameters, and meanwhile storing and displaying the position of lightning in a geographic information system, the lightning time and waveforms of the optical radiation signals, the electric field changing signals and the magnetic field changing signals in the lightning process, and S4, generating early warning results according to cloud-to-ground lightning identification and location results and atmosphere average electric field amplitudes, and giving an warning signal according to the early warning results.

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 relates to a gear-type anti-falling safety protection device detection and test equipment of a construction lifter, consisting of a cage, a drive mechanism, a safety device testing frame, a guide rail rack, a sensor and a signal processing system. The drive mechanism is arranged on the cage, the safety device testing frame is connected with the cage through the sensor, a safety device to be detected is arranged on the safety device testing frame, the cage and the safety device testing frame are connected with a guide rail rack fixed on a base through guide wheels, and the cage and the safety device testing frame make vertical movement along the guide rail rack under the effect of the drive mechanism. The detection and test equipment of the invention has the advantages of (1) high function, complete detection parameter, large range and suitability for detection of gear-type anti-falling safety device; (2) high automatic degree, convenient loading, full-automatic measurement, recording and treatment of detection date and automatic completion of detection report; (3) good safety and multi-protection; (4) strong test authenticity; and (5) strong database management function.

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 provides a detection device for engine oil performance of an engine, belonging to the technical field of measurement and solving the problems of single physical and chemical parameter and incapability of scientifically and rationally judging the quality of the engine oil existing in the conventional engine oil detection method. The detection device for the engine oil performance of the engine comprises a capacitive sensor for detecting capacitance of the engine oil, an infrared sensor for detecting clarity of the engine oil, a display unit for displaying a result and a processor, wherein the processor is electrically connected with all the capacitive sensor, the infrared sensor and the display unit and can be used for analyzing signals input by the capacitive sensor and the infrared sensor and transmitting an analysis and processing result to the display unit. The physical and chemical parameters such as viscosity of the engine oil, moisture, open flash point, acid value, iron content and n-pentane insoluble substance are effectively and comprehensively evaluated by the capacitive sensor and the infrared sensor of the detection device for the engine oil performance of the engine, so that the detection device has the advantages of complete detection parameters, scientific and rational method and accurate result.

The invention discloses a multiparameter water quality quick detection device based on a ARM technology. The device comprises a broadband light source, a sample cell, a micro spectrometer and an embedded ARM control system, wherein, the micro spectrometer comprises a grating spectroscopy device for spectrum and a detector part for receiving an optical signal; the detector part comprises a CCD array sensor, a drive and control module for driving the detector part, and an A / D conversion module for converting signals of the detector; and the embedded ARM system has an upper computer control function, and controls data acquisition, storage, analysis, display and transmission. The device can realize field quick detection with comprehensive detection parameters, and can realize instant network transmission of data.

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 present invention discloses a gas-liquid two-phase flow parameter measuring method based on double-differential pressure of a Venturi tube. The method comprises the following steps of: (1) measuring differential pressure fluctuation signals of the Venturi tube in upward and downward inclination directions; (2) applying the empirical mode decomposition method to decompose the differential pressure fluctuation signals in two pressure tapping directions so as to obtain intrinsic mode functions and residual errors; (3) calculating relative energy of each intrinsic mode function; (4) rejecting noise components; (5) determining pseudo components according to threshold values of the relative energy; (6) calculating characteristic quantities according to the intrinsic mode functions, the residual errors and the pseudo components; (7) inputting the characteristic quantities into a neural network, and predicting void fraction, dryness fraction and total mass flow; and (8) calculating gas phase and liquid phase mass flows. The gas-liquid two-phase flow parameter measuring method has the beneficial effect that a plurality of parameters of two-phase flow can be predicted only according to two differential pressure signals of one Venturi tube without a gas-liquid separator. According to the gas-liquid two-phase flow parameter measuring method having a lot of detecting parameters, real-time performance is good, the device is simple, and implementation is easy. The method is suitable for measuring gas-liquid two-phase flow multi-parameters.

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 provides a tailings dehydration performance detection device based on a rheometer and a use method of the detection device, and belongs to the technical field of paste filling tailings concentration. The device comprises a computer, a connecting line, the rheometer, a transmission shaft, a connecting device, a water guide rod, a cylindrical material containing barrel and an experimental material, wherein one end of the transmission shaft is connected with the rheometer, the other end of the transmission shaft is connected with the water guide rod; the transmission shaft and the water guide rod are connected by the connecting device; the transmission shaft, the connecting device and the water guide rod jointly form a dehydration rake frame, wherein the dehydration rake frame is placed in the cylindrical material containing barrel; the experimental material is arranged in the cylindrical material containing barrel; and the rheometer is connected with the computer through the connecting line. The device is simple in processing, relatively low in manufacturing cost, and simple to operate and high in intelligence; and the enterprises, colleges and research institutes withthe rheometer can perform quick implementation, and the monitoring indexes are comprehensive and efficient. Theoretical research and technical support can be provided for various mine enterprises forproducing tailings, such as colored, black, noble metals, rare metals, gold and the like.

The invention relates to a testing device for an undervoltage tripper, which comprises a programmable power supply with maximal output voltage being no less than square root of 2 times of rated working voltage U of the undervoltage tripper, a force measuring device and a computer; the computer is connected with the programmable power supply, and used for sending out a control signal of the programmable power supply and receiving a voltage signal of the programmable power supply; the programmable power supply is connected with a coil for an undervoltage tripper to be tested; the detection signal output terminal of the force measuring device used for detecting the tripping force of the undervoltage tripper to be tested is connected with the computer; a tripping force measuring part of the force measuring device is arranged oppositely to an armature for the undervoltage tripper to be tested. The force of releasing tripping can be detected during the process of detecting the power-on or power-off response time and the pull-in or release drop-away voltage of the undervoltage tripper, and the testing device can automatically finish measuring all parameters of the undervoltage tripper without manual intervention, therefore, the large-scale mass detection can be carried out.

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.