271 results about "Sensor field" patented technology

The invention relates to the field of sensors, and discloses an anti-electromagnetic interference dynamic compensation method for a gas sensor of power equipment, which comprises the following steps: monitoring and collecting sensor data, uploading the sensor data to a central processing unit for data fusion, and carrying out volatility analysis on the fused sensor data, so as to obtain an anti-electromagnetic interference dynamic compensation result. The change relation of the fluctuation of the sensor data along with time is monitored in real time, and the fluctuation abnormal state of the sensor data is analyzed and detected by combining a fluctuation analysis result with real-time environmental parameters, so that the monitoring duration and the monitoring frequency of the sensor data are dynamically adjusted; analyzing the contribution degree of the electromagnetic interference to the error generated by the gas sensor, detecting whether the error interferes with the measurement state of the gas sensor, and correcting the gas concentration measurement value by using a temperature and humidity-gas response coupling correction algorithm of Kalman filtering to realize the dynamic compensation of the gas concentration measurement value. And the accuracy of the corrected gas concentration estimated value is improved.

The invention relates to a shear-based acceleration and pressure composite sensor and an assembly method thereof, and belongs to the field of composite sensors. According to the technical scheme of the acceleration and pressure composite sensor based on the shear type structure, an acceleration detection module comprises a mass block of a regular polygon prism structure, and each side face of the mass block is provided with an acceleration sensitive ceramic piece; the pressure detection module comprises a force transmission column of a regular polygon prism structure, and each side face of the force transmission column is provided with a pressure sensitive ceramic piece, an electrode piece and an insulation block. According to the scheme, the sensitive elements of the acceleration sensor and the pressure sensor core are arranged in a polygonal mode to form a spatial three-dimensional structure, the effective area of the sensitive elements in unit volume is increased, the multiple sensitive elements act together to form superposition of pressure signals, the detection precision and sensitivity of the two are guaranteed, and the detection precision is improved. Therefore, the overall size of the composite sensor is greatly reduced on the premise that the original precision is maintained, and the composite sensor is miniaturized.

The invention discloses a sensor array acquisition system for detecting gas, and relates to the field of gas sensors. The sensor array acquisition system for detecting gas comprises a gas sensor array, a signal conditioning circuit, an analog-to-digital conversion module, a control module and a power supply module. According to the sensor array acquisition system for detecting the gas, the voltage follower circuit with high input impedance is adopted, so that the problem of attenuation during signal acquisition of a high-impedance sensor is effectively solved, and the signal acquisition precision is improved. Through the adjustable direct-current bias circuit and the differential amplification circuit, the dynamic adjustment of the measurement range is realized, the gas detection requirements of different concentration ranges can be met, and hardware does not need to be replaced. A constant-current driving chip is adopted to control a sensor heating circuit, heating current can be accurately set by adjusting external resistance, it is ensured that the sensor works at the optimal temperature, and the stability and response speed of the sensor are improved.

An autonomous mobile device (AMD) may move around a physical space while performing tasks. The AMD may have sensors with a field of view (FOV) facing forward. As the AMD moves forward, a safe region is determined based on data from those forward-facing sensors. The safe region describes a geographical area that is clear of obstacles during recent travel. If the AMD moves outside of the FOV, such as moving backwards, a check is made as to whether the AMD remains within the safe region. If a portion of the AMD moves beyond the safe region, the AMD stops. This prevents the AMD from colliding with obstacles that are outside of the safe region and also outside of the FOV while moving.

The invention discloses an unmanned aerial vehicle target detection and tracking method based on thunder-vision fusion, and the method comprises the following steps: obtaining camera measurement data obtained through a camera and radar measurement data obtained through a radar, and carrying out the alignment of the camera measurement data and the radar measurement data; a camera is used as an auxiliary sensor to screen radar detection; and fusing the radar measurement data and the camera measurement data, outputting the fused data to the tracker, and generating and updating the track of the target identified in the field of view of the sensor. According to the invention, through fusion of the double-level radar sensor and the visual sensor, the radar and visual data are preliminarily integrated and processed before the target is tracked to reduce noise and clutter, so that the calculation efficiency can be improved, the situation that the radar is submerged by environmental noise due to weak sensor signals during low-altitude flight can be prevented, and the reliability of flight is improved. Therefore, the detection accuracy is improved.

The invention discloses a centripetal force sensor and a using method thereof, and belongs to the field of sensors. According to the technical scheme, the centripetal force sensor comprises a fixed part and a rotating part, the rotating part comprises a sensor shell, the sensor shell is hollow, a center signal column is fixedly installed in an inner cavity of the sensor shell, a plurality of notches are formed in the outer circumferential face of the center signal column, and mass blocks are placed in the notches; piezoelectric ceramics are arranged on the outer side of the mass block, and the piezoelectric ceramics and the mass block are clamped between the inner wall of the sensor shell and the outer wall of the center signal column. The sensor is directly installed at the rotation center of a detected object, additional centrifugal force generated by the mass of the sensor approaches to zero, the authenticity of the detection result is greatly improved, meanwhile, the sensor is in direct conductive contact with the signal output structure through the center signal column, the mouthpiece does not rotate along with the detected object, and the detection accuracy is improved. The winding and pulling faults of the mouthpiece and an external pipeline are completely eradicated, and the durability of the sensor is improved.

The invention provides a CMOS-MEMS (Complementary Metal Oxide Semiconductor-Micro-Electro-Mechanical System) flow and gas thermal conductivity integrated sensor as well as a preparation method and application thereof, and belongs to the field of sensors. The thermal insulation structure is designed between the thermal flow sensor and the gas thermal conductivity sensor, so that external thermal interference and thermal interference among different internal sensors are reduced, related thermophysical parameters of gas are detected at the same time, the flow is corrected, and the detection accuracy is improved. And the performance of the flow sensor is further improved so as to meet the requirements of flow detection and gas parameter detection in a more complex environment. When the sensor is prepared, a Post-CMOS (Complementary Metal Oxide Semiconductor) process without a mask is adopted, so that a complicated photoetching step is avoided, and the post-processing efficiency of the whole Post-CMOS is greatly improved. According to the sensor disclosed by the invention, a CMOS-MEMS (Complementary Metal Oxide Semiconductor-Micro-Electro-Mechanical System) process of monolithic integration and integrated preparation molding of various sensors is realized through reasonable process design.

The invention discloses a gait sensing unit of a triboelectric nano generator based on liquid metal / PDMS porous sponge, and relates to the field of gait sensors, and the sensing unit with high porosity, flexibility and durability is prepared through a template method. A white granulated sugar template is adopted to construct a three-dimensional communicated porous structure, so that uniform dispersion of LM in a PDMS matrix is realized, and the technical problem that low density and high sensitivity of traditional TENG are difficult to consider at the same time is solved. The preparation method comprises the steps of mixing and stirring, template infiltration, curing molding, template dissolution and the like, flexible sensors with thousand secondary cycle stability can be produced in batches, and the flexible sensor is suitable for wearable health monitoring equipment.

The invention relates to a flattened three-dimensional acceleration and three-dimensional force composite sensor and a detection method thereof, and belongs to the field of sensors. According to the technical scheme, the flattened three-dimensional acceleration and three-dimensional force composite sensor comprises a force sensor module and an acceleration sensor module, the force sensor module comprises four shear effect force detection elements and four longitudinal effect force detection elements, and the four shear effect force detection elements and the four longitudinal effect force detection elements are coplanar. The acceleration sensor module comprises four shear effect acceleration detection elements and four longitudinal effect acceleration detection elements, and the four shear effect acceleration detection elements and the four longitudinal effect acceleration detection elements are coplanar. According to the scheme, the sensitive elements with the longitudinal effect and the shear effect are combined, three-dimensional detection is achieved through the thickness of the single-layer sensitive element, flattening of the sensor is achieved through single-layer arrangement of the sensitive elements, thermal expansion and stress are greatly reduced in the installation direction, and the detection precision is guaranteed.

The invention relates to the field of electronic devices and sensors, and discloses a high-sensitivity and ultrafast-response piezoelectric stress sensor based on reverse polarization. Comprising a first substrate and a second substrate, a first GaN wafer is arranged on the first substrate, and a first Al electrode area is arranged at the end of the side, away from the first substrate, of the first GaN wafer; a second GaN wafer is arranged on the second substrate, and a second Al electrode area is arranged at the end part of one side, far away from the second substrate, of the second GaN wafer; the first GaN wafer and the second GaN wafer are oppositely and reversely buckled and assembled, so that the first GaN wafer and the second GaN wafer are in contact to form an overlapping region, but the first Al electrode region and the second Al electrode region are not in the overlapping region; the first Al electrode area and the second Al electrode area are connected with wires respectively. The sensor has the characteristics of excellent sensitivity, high integration level, excellent stability, high response speed, low cost, simple process, suitability for large-scale production and the like.

The invention discloses an intelligent sensing data processing method based on an electronic water gauge, which belongs to the field of water level sensors and comprises the following steps: acquiring visible light images, infrared thermal imaging, ultrasonic ranging and pressure type water level values to form multi-source data; constructing a Kalman filter and defining a water level state vector based on the obtained multi-source data, dynamically adjusting a weight factor and a noise covariance matrix according to the real-time confidence of each sensor, and outputting a preliminary water level estimated value and a corresponding confidence index after fusion calculation; fusing the obtained multi-source data into four-channel input data, inputting the four-channel input data into a pre-trained U-Net model for semantic segmentation, generating a water surface shelter segmentation mask, identifying the type of a shelter based on the mask, and calculating a shelter area proportion; and extracting a water line edge point set of an unshielded region from the original image by using the generated shielding object segmentation mask, reconstructing a continuous water line through linear fitting, and performing interpolation filling on the shielded region.

The invention relates to the field of flexible electronic sensors, in particular to a high-range and high-sensitivity three-electrode ionization pressure sensor and a preparation method thereof. The three-electrode ionization pressure sensor comprises a flexible packaging shell, three layers of flexible electrodes packaged in the flexible packaging shell, two sensitive layers with microstructures and arranged between the flexible electrodes, and spacing layers arranged between the flexible electrodes and the sensitive layers with the microstructures, the flexible electrodes and the sensitive layers with the microstructures are arranged in a crossed and stacked manner, and the two sensitive layers with the microstructures are provided with sensitive layer microstructures with different scales. The linear sensing range is enhanced by arranging the two sensitive layers with the microstructures of different scales, and the effect of widening the linear range of the sensor can be achieved; the sensor has excellent performance and has extremely high application potential in motor monitoring and motor intelligent interaction.

The invention relates to the field of sensors, in particular to a pressure-tactile sensor based on a common electrode structure and application thereof, and the pressure-tactile sensor comprises a first electrode layer, an air dielectric layer, a conductive layer, a mixed pressure sensitive layer and a second electrode layer from top to bottom, wherein the air dielectric layer is formed at the middle position by arranging insulating cushion blocks at the edge between the first electrode layer and the conductive layer, and an output electrode layer is arranged between the insulating cushion block at one side and the conductive layer. The sensor can be used in wearable health equipment to realize health monitoring, can be integrated to a signal acquisition and processing system, and is combined with a graphical programming platform to realize accurate control of electronic piano key tones and volumes. Good application prospects and important technical development potential are shown in the fields of intelligent interaction interfaces, intelligent musical instruments, human-computer interaction and the like.

The invention discloses an all-digital PVT sensor based on a ring oscillator, and relates to the field of PVT sensors, the all-digital PVT sensor comprises a process sensing circuit, a voltage sensing circuit and a temperature sensing circuit, the process sensing circuit comprises a process detection ring oscillator, the voltage sensing circuit comprises a voltage detection ring oscillator, and the temperature sensing circuit comprises a temperature detection ring oscillator. The temperature sensing circuit comprises a temperature sensitive ring oscillator; under the control of an enable signal, the process detection ring oscillator, the voltage detection ring oscillator and the temperature-sensitive ring oscillator start oscillation, and the process corner, the temperature and the power supply voltage of the detected chip are determined based on the oscillation frequencies of the process detection ring oscillator, the voltage detection ring oscillator and the temperature-sensitive ring oscillator. The PVT sensor is completely realized based on a digital circuit, an additional analog module does not need to be introduced, the area overhead is greatly reduced, and the PVT sensor has remarkable area advantage and structural simplicity while the high-precision detection capability is maintained.

The invention discloses a self-powered flexible sensor and a preparation method thereof, and belongs to the field of electronic skin, man-machine interaction, flexible electronic devices and sensors. The invention relates to a cellulose acetate-based ionic gel self-energized flexible sensor which is prepared from cellulose acetate, ionic liquid, a polymer monomer, a cross-linking agent and an initiator and has good mechanical property and antibacterial property, the cellulose acetate enhances the mechanical property of the gel through non-covalent crosslinking, and the ionic liquid plays a conductive role. The flexible sensor has good conductivity, high sensitivity and stability, and can be stretched, twisted and bent. Meanwhile, the high transparency and excellent biocompatibility can be realized, so that the electronic skin can be used as the electronic skin for multifunctional perception and integrated application. The material is environment-friendly, the preparation method is simple, the operability is high, the application field is wide, and the prospect is wide.

The invention relates to the field of sensors for realizing an ionic migration confinement effect by using silicon dioxide, and discloses an ultrasensitive capacitive flexible pressure sensor based on the ionic migration confinement effect, which comprises an upper electrode layer and a lower electrode layer, and a dielectric layer is arranged between the upper electrode layer and the lower electrode layer. The dielectric layer comprises an ion migration regulation and control layer and ion limiting composite layers arranged on the upper side and the lower side of the ion migration regulation and control layer; each ion confinement composite layer comprises an ion confinement composite film fixed on the electrode layer on the corresponding side, and a plurality of first micro bulges are arranged on the surface of one side, facing the ion migration regulation and control layer, of the ion confinement composite film; the ion migration regulation and control layer is a nano-channel fiber membrane containing an ion channel; a plurality of second micro bulges are arranged on the surfaces of the upper side and the lower side of the nano-channel fiber membrane; and the plurality of first micro bulges and the plurality of second micro bulges on the corresponding sides are mutually embedded to form an interlocking structure in a horizontal plane. The sensor provided by the invention has high sensitivity in a wide pressure range.

The application is a kind of force and three-dimensional acceleration composite sensor and its using method, belongs to composite sensor field. Its technical scheme is, a kind of force and three-dimensional acceleration composite sensor, including force detection component and three-dimensional acceleration detection component, force detection component includes annular force core body electrode column, and lower quartz ring and upper quartz ring are respectively arranged on its upper and lower ends, impact platform is arranged above the upper quartz ring, and the lower quartz ring is attached to the base;Three-dimensional acceleration detection component is located inside annular force core body electrode column, including center integrated column, and four horizontal vibration arms and multiple vertical vibration arms are arranged on the outer periphery of the center integrated column, and acceleration detection unit is arranged on the end of each vibration arm away from the center integrated column. The sensor integrates force and three-dimensional acceleration measurement function, can synchronously collect two kinds of signals, the annular structure and the internal setting improve the protection to acceleration detection component, the cantilever structure converts impact force into vibration, reduces the impact suffered by detection unit, and is suitable for instantaneous high impact force working condition.

This invention relates to a force and three-dimensional acceleration composite sensor and its application method, belonging to the field of composite sensors. The technical solution is as follows: a force and three-dimensional acceleration composite sensor includes a force detection component and a three-dimensional acceleration detection component. The force detection component includes a ring-shaped force core electrode post with a lower quartz ring and an upper quartz ring at its upper and lower ends, respectively. An impact platform is located above the upper quartz ring, and the lower quartz ring is attached to a base. The three-dimensional acceleration detection component is located inside the ring-shaped force core electrode post and includes a central integrated post. Four horizontal vibrating arms and multiple vertical vibrating arms are arranged around the central integrated post. An acceleration detection unit is located at the end of each vibrating arm furthest from the central integrated post. This sensor integrates force and three-dimensional acceleration measurement functions, and can simultaneously acquire two types of signals. The ring structure and internal design enhance the protection of the acceleration detection component, and the cantilever structure converts impact force into vibration, reducing the impact on the detection unit, making it suitable for instantaneous high-impact conditions.

The utility model discloses an automobile front and rear wheel sensor performance test bench, which relates to the field of sensors and comprises a workbench, fixing rods are mounted at the front end and the rear end of the workbench, inclined blocks are mounted at the upper ends of the fixing rods, a bearing table is mounted at the upper end of the workbench, and a baffle plate is mounted on the inner wall of the bearing table. A sensor is installed in the bearing table, a sensing connecting line is installed at one end of the sensor, and an integrated frame is installed above one end of the sensing connecting line. Through the arrangement of the workbench, the bearing table, the sensor, the sensing connecting line, the integrated frame and the terminal display, after a tire of a vehicle stops on the bearing table, data statistics is carried out through the sensor installed on the surface of the bearing table, and data statistics and transmission are carried out through the integrated frame through the sensing connecting line; and the performance of the tire sensor is detected through the installed terminal display.

The application belongs to the field of sensors, and discloses a sensor driving loading method, device, chip, product and medium, from multiple candidate sensor drivers, a candidate sensor driver is selected as a current to-be-matched driver, and a program segment corresponding to the current to-be-matched driver is copied from DDR to IRAM; the target sensor is hardware initialized and the hardware ID of the target sensor is obtained; the hardware ID is compared with the to-be-matched ID in the program segment; if the same, the structure pointer of the current to-be-matched driver is returned; if not the same, it is judged whether there is still other candidate sensor driver; if yes, the step of selecting a candidate sensor driver from multiple candidate sensor drivers as a current to-be-matched driver is returned; if not, the sensor failure loading information is returned. Various types of sensors can be adapted by using a set of software systems, and the utilization rate of IRAM is higher.

The invention relates to the field of MEMS sensors, and discloses an MEMS sensor air pressure drift pre-calibration method based on an outdoor cold environment, and the method comprises the following steps: S1, low air pressure environment construction and natural recovery, and S2, dynamic data synchronous acquisition. Pollution of vibration of the low-pressure box to calibration data of the sensor is fundamentally eliminated, the purity of the calibration data is ensured, the air pressure drift correction coefficient obtained through fitting truly reflects the physical relation between air pressure and sensor output, and the authenticity and accuracy of the calibration coefficient are remarkably improved. Aiming at the problem that the calibration process in the prior art is not natural, the air pressure natural recovery process is closer to the air pressure change scene experienced by the sensor during actual outdoor application, so that the generalization ability and the compensation effect of the calibrated air pressure coefficient in the actual environment are better, and the applicability problems that the precision required by a laboratory is high and the field error is large are effectively solved.

The utility model discloses a kind of oil well load and displacement wireless integration sensor, belong to load sensor field, including suspender and load sensor body, the top of the suspender is fixedly connected with two mounting plates, the both sides of load sensor body outside are fixedly connected with slide bar, two slide bars are respectively in the middle portion of two mounting plates and are slidably connected, in the scheme, load sensor body is positioned quickly by the sliding cooperation of slide bar and mounting plate, and rotation handle can complete limit fixing, when disassembling, limit block is separated from limit hole by pulling handle, and it can be removed, without complex tool and professional skill, substantially shorten installation and replacement time, reduce field operation intensity, in addition, the clamping of safety block and handle forms double insurance, even if one spring fails, still can prevent sensor body accidental drop;Steel wire rope and hanging block evenly disperse load, play auxiliary load-bearing role when suspender is under abnormal stress, reduce equipment damage and safety accident risk.

A grille guard system, comprising a grille guard, a first latch, and a second latch. The first latch comprising a handle, a cam assembly, a backplate comprising a U-bolt, and a first latch housing. The second latch comprising a handle, a cam assembly, a backplate comprising a U-bolt, and a second latch housing. A lift assist system in operational communication with the grille guard assembly. A sensor cap comprising an angled opening configured to be placed over a vehicle sensor and constrain the sensor field of view.

This invention relates to the field of MEMS sensors and discloses a method and system for correcting single-axis abrupt changes in MEMS sensors, including the following steps: S1, obtaining the local gravitational acceleration reference value g at the deployment location of the target MEMS sensor; In this invention, through a dual judgment mechanism of modulus deviation and inter-axis correlation coefficient, it is possible to accurately distinguish between interference abrupt changes and real motion. Modulus deviation is used to initially screen abnormal data, while inter-axis correlation coefficient further verifies the authenticity of the abrupt change, effectively avoiding the problem of incorrect correction caused by relying on only a single indicator in the prior art. Furthermore, based on the physical law of conservation of the three-axis acceleration vector sum under static measurement, the abrupt axis is corrected using stable data of the other two axes, and an inter-axis coupling correction factor is introduced to compensate for manufacturing process deviations. The corrected data has high accuracy, and the total modulus deviation can be stably controlled within a preset threshold range, significantly improving the data accuracy of MEMS sensors in outdoor static measurement scenarios.

This invention relates to the field of sensors and discloses a sensor drift correction method and system based on transfer learning, comprising the following steps: S1, collecting sensor data, including triaxial acceleration data, temperature, humidity, and air pressure environmental parameters; S2, calculating the magnitude of the triaxial composite vector. In this invention, a zero-point mapping model is constructed by using Gaussian process regression. The combined kernel function of periodic kernel, linear kernel, and RBF kernel can simultaneously capture the periodic fluctuations of environmental factors, the long-term trend of sensor aging, and short-term random noise. The maximum mean difference loss function is used to achieve adaptive distribution alignment between the source domain and the target domain, enabling the model to quickly adapt to the target domain. At the same time, a slope intercept joint judgment matrix is ​​introduced to achieve accurate differentiation between zero-point drift and real motion and tilt events, with an accuracy of over 96%. This effectively avoids measurement distortion caused by miscompensation and significantly improves the reliability and data credibility of the system.

The invention relates to the field of MEMS sensors, and discloses an MEMS sensor single-axis abrupt change correction method and system, and the method comprises the following steps: S1, obtaining a local gravitational acceleration reference value g of a target MEMS sensor deployment position; according to the method, the interference sudden change and the real motion can be accurately distinguished through a dual judgment mechanism of the die length deviation and the inter-axis correlation coefficient, the die length deviation is used for preliminarily screening abnormal data, the inter-axis correlation coefficient further verifies the authenticity of the sudden change, the problem of error correction caused by dependence on a single index in the prior art is effectively avoided, and the accuracy of the error correction is improved. And based on the physical law of three-axis acceleration vector and conservation under static measurement, the abrupt change axis is corrected by utilizing stable data of other two axes, and an inter-axis coupling correction factor is introduced to compensate the manufacturing process deviation, so that the corrected data is high in precision, and the total mold length deviation can be stably controlled within a preset threshold range. And the data accuracy of the MEMS sensor in an outdoor static measurement scene is obviously improved.

The present application discloses an LVDT high-frequency signal processing circuit, which relates to the field of displacement sensors. The circuit includes a primary coil excitation module combined with a DDS frequency source and an AGC amplitude stabilization control circuit to provide a high-frequency excitation signal to the LVDT; a secondary coil signal processing module adopts a lossless rectifier circuit to losslessly rectify the output signal of the LVDT; the lossless rectifier circuit includes an input isolation and bias circuit, an isolation low-pass filter and an analog switch; the input isolation and bias circuit isolates and biases the output signal, and outputs analog signals with bias amounts and a phase difference of 180 degrees under two different channels; the isolation low-pass filter prevents the glitch signal of the analog switch from being transmitted forward; under the control of a digital control signal, the analog switch selectively connects the two analog signals with a phase difference of 180 degrees to the output channel, and outputs the lossless rectified signal. The present application meets the high-frequency LVDT's demand for a high-frequency excitation source, and does not have the dead zone problem caused by the diode conduction voltage drop.

The invention discloses an aircraft skin viewpoint planning method and system based on deep reinforcement learning, and the method comprises the steps: modeling a viewpoint planning problem as a Markov decision problem, and calculating a state space and an action space based on the visual field constraint of a sensor and a CAD model of a measured object; creating a six-degree-of-freedom simulation environment of an AC framework, and training an agent through a custom reward function and a dynamic experience pool mechanism; a Gaussian mixture model is adopted to generate a progressive training environment, and an asynchronous parameter updating strategy is combined to break through the exploration bottleneck of a continuous space; finally, the virtual training strategy is migrated to the entity scanning robot, a viewpoint planning strategy is obtained, and six-degree-of-freedom large-range continuous space viewpoint planning is completed. According to the mode, the generalization of viewpoint planning is remarkably improved, richer state information can be provided, an intelligent agent is helped to learn a potential structure in data, a more reasonable decision is made in a complex or unknown environment, and the overall performance is improved.

The utility model relates to a digital illuminance and ultraviolet ray integrated sensor applied to the sensor field, comprising a sensor lower cover, the upper end of the sensor lower cover is fixedly connected with a communication interface and a plurality of studs, and the upper ends of the plurality of studs are jointly inserted with a sensor mainboard. The upper end of the sensor mainboard is fixedly connected with an illumination photoelectric detector and an ultraviolet photoelectric detector, the illumination photoelectric detector is located on the left side of the ultraviolet photoelectric detector, and the upper end of the illumination photoelectric detector is fixedly connected with an illumination correction light filter. Compared with the independent illumination, the device provided by the utility model better meets the standard requirements, and after the illumination and the ultraviolet are detected, the manual calculation of workers is not needed, and the illumination measurement value, the ultraviolet measurement value and the relative content of the ultraviolet radiation are directly output through calculation, so that the workload of the workers is effectively reduced, the practicability of the device is improved, and the device is more convenient to use.