848 results about "Dark current" patented technology

The invention relates to the technical field of gas leakage detection, and discloses an infrared imaging radiation correction method and system for gas leakage detection, and the method comprises the steps: obtaining the distribution data of dark current noise, and the mapping relation parameters of an image gray value and a radiation brightness value; acquiring infrared radiation of the gas leakage scene by using an infrared detector to obtain an original infrared image; based on the distribution data of the dark current noise, performing pixel-by-pixel compensation on the original infrared image to generate an infrared image after dark current correction; extracting the radiation intensity distribution of the infrared image after dark current correction, calibrating the radiation value of each pixel in the infrared image based on the mapping relation parameter between the image gray value and the absolute radiation brightness value, converting the image gray value into the absolute radiation brightness value, and generating the infrared image after radiation calibration; and outputting an infrared image after radiometric calibration for subsequent gas leakage area identification and feature analysis. According to the invention, a high-quality and quantifiable radiation quantification image can be output.

The invention discloses a multispectral pollution analysis method and system for a photovoltaic cleaning unmanned aerial vehicle, and belongs to the technical field of spectrum detection.The multispectral pollution analysis method comprises the steps that a multispectral image is obtained, dark current-radiation-atmosphere-shadow full-link preprocessing is carried out, multiband weighted threshold segmentation and morphological post-processing are constructed, and a pollution area is extracted; establishing a self-learning pollution spectral feature library, and identifying pollution types by using cosine similarity; generating a pollution degree distribution diagram in combination with the pollution type-efficiency attenuation mapping table; and when the overall efficiency loss exceeds a preset value, planning a three-dimensional track based on a cluster priority score and an ant colony-genetic fusion algorithm, and returning an image to perform closed-loop verification and complementary cleaning after the unmanned aerial vehicle performs cleaning. According to the invention, the pollution identification precision, the efficiency evaluation accuracy and the cleaning intelligence level are significantly improved, and the method can be widely applied to unattended operation and maintenance of the photovoltaic power station.

The invention relates to the technical field of image enhancement, and discloses an image enhancement method based on an ISP image signal processing visual sensor, and the method comprises the steps: carrying out the collection of multiple frames of images of the same scene, carrying out the analog-to-digital conversion of the collected multiple frames of images, generating an RGB three-channel digital matrix, and obtaining N frames of original image sequences; dark current correction and lens shadow correction are executed, an affine transformation matrix from the N-1 frame to the first frame of image is calculated based on SIFT feature point extraction and matching, and an image sequence after space alignment is obtained; performing spatial feature extraction to obtain a multi-scale feature map sequence, and performing residual feature connection operation to obtain a time sequence correlation feature map sequence; according to the method, attention calculation of the channel dimension and the space dimension is executed, meanwhile, structural layer edge enhancement and texture layer denoising processing are executed, a target enhanced image is obtained, various kinds of distortion and noise interference in the image acquisition process are reduced, and the definition and the detail fidelity of the enhanced image are ensured.

The invention provides a vertical structure ultraviolet photoelectric detector and a preparation method thereof. The ultraviolet photoelectric detector is of a vertical structure, the design facilitates light absorption of the ultraviolet photoelectric detector, the light utilization rate of the ultraviolet photoelectric detector is improved, and compared with a horizontal structure, the transmission distance is shortened, and the cost is low; the ultraviolet photoelectric detector provided by the invention has a relatively high switching ratio of light and dark current and relatively small dark current, and also has a very high response speed under the condition of keeping the switching ratio of light and dark current and the dark current; a PN junction is formed between the nickel oxide hole transport layer and the beta-phase gallium oxide single crystal, so that the ultraviolet photoelectric detector has self-driving performance; in the manufacturing process, the substrate is used as a supporting frame, and the extraction electrode is packaged in one step through the conductive adhesive tape, so that 3-5 photoetching steps of a traditional horizontal structure are omitted, the process is simplified, and the process manufacturing is simpler.

The invention provides a preparation method of a barrier type antimonide infrared detector. The preparation method comprises the following steps: selecting a gallium antimonide substrate; a gallium antimonide buffer layer, an indium arsenide heavily-doped layer, a class II superlattice absorption layer and an aluminum-arsenic-antimony barrier layer are sequentially grown on the substrate in an epitaxial mode through a molecular beam epitaxy method; mechanically stripping the hexagonal boron nitride two-dimensional material, and transferring the stripped hexagonal boron nitride to the aluminum-arsenic-antimony barrier layer to form a Van der Waals heterojunction and composite barrier layer structure; depositing electrodes by using an ultraviolet lithography technology and a thermal evaporation mode to form one electrode arranged on the gallium antimonide buffer layer and the other electrode arranged on the boron nitride; a large-numerical-aperture micro-lens array is processed on a substrate, and the micro-lens array is composed of gallium antimonide cylinders with a phase modulation function; therefore, the antimonide medium-wave infrared detector with the composite barrier layer can be formed, the quantum efficiency is improved, the order of magnitude of dark current is reduced, and room-temperature medium-wave infrared detection can be realized.

The invention provides a single-photon avalanche diode and a single-photon detector, and relates to the technical field of semiconductor photoelectric detection, and the single-photon avalanche diode comprises a plurality of avalanche diode units. The avalanche diode units are sequentially stacked in the propagation direction of incident light to be detected. Each avalanche diode unit is provided with an electric field control module which is used for independently adjusting the bias electric field of each avalanche diode unit. In the propagation direction of the incident light, the avalanche diode unit of the next stage is used for absorbing the remaining photons which are not absorbed by the avalanche diode unit of the previous stage and generating carriers, so that avalanche current is formed. The light absorption wavelength ranges of adjacent avalanche diode units are at least partially overlapped. The single-photon avalanche diode solves the problem that the existing single-photon avalanche diode cannot balance high detection efficiency and low dark current, and achieves the purpose of improving the detection efficiency of a single-photon detector on the premise of not increasing the dark current.

The invention discloses an engine oil carbon deposition sampling detection method and system based on multispectral imaging, and the method comprises the steps: carrying out the collection of a to-be-processed multispectral image of an engine oil sample under a multispectral light source, and carrying out the preprocessing of the image to obtain a to-be-processed image; performing dark current correction on the to-be-processed image according to a band ratio method, and enhancing the signal intensity of the to-be-processed image; calculating the spectral reflectivity of the to-be-processed image according to the signal intensity of the to-be-processed image; extracting a three-dimensional feature tensor in the to-be-processed image according to the spectral reflectivity; segmenting the to-be-processed image according to the three-dimensional feature tensor, and screening a carbon deposition region; calculating a carbon deposition probability value of each pixel point in the carbon deposition area according to the spectral reflectivity; and setting a carbon deposition threshold value according to the carbon deposition probability value for judgment so as to judge whether carbon deposition exists in the engine oil sample or not. The similarity between the sample engine oil spectral reflectivity and the reference engine oil is reflected, and a possible carbon deposition area is found, so that the carbon deposition defect is accurately judged and identified.

The invention discloses a stress balance InP-InGaAs avalanche photodetector and a preparation method thereof. An n-type InP buffer layer, an unintentionally doped In < 0.53 > Ga < 0.47 > As bottom absorption layer, a plurality of groups of unintentionally doped stress matching InGaAs absorption layers, an unintentionally doped In < 0.53 > Ga < 0.47 > As top absorption layer, an n-type InP charge layer and an unintentionally doped InP cover layer are sequentially grown on an n-type InP substrate; the optimal photosensitive wavelength of the avalanche photodetector is 2.0 microns, and the device can stably work at room temperature at low dark current.

The invention discloses a dynamic adaptive black level correction method and device, and relates to the technical field of image processing. According to the dark current space distribution difference, an effective pixel area in each frame of original image is dynamically divided; determining an initial black level calibration coefficient of each space block based on the dark pixel noise level; obtaining the current temperature and the temperature change rate of each space block, and obtaining the level calibration coefficient of each space block after temperature self-adaptive calibration based on the initial black level calibration coefficient corresponding to each space block; fusing the calibration information of the previous frame and the level calibration coefficient of the current frame to obtain a cross-frame stable calibration result; and correcting the effective pixels in each space block based on a cross-frame stable calibration result to obtain a corrected pixel value, and reconstructing the corrected pixel value into an output image. The problems that an existing black level calibration technology is poor in space uniformity, insufficient in temperature change adaptability and unstable in calibration coefficient are solved.

The invention belongs to the technical field of photoelectric detection, and discloses a heterojunction dual-band photoelectric detector based on a two-dimensional material, which comprises a substrate layer, an insulating layer, a molybdenum disulfide layer, graphene, black phosphorus and a metal electrode, the insulating layer is formed above the substrate layer, the molybdenum disulfide layer is located above the insulating layer, the molybdenum disulfide layer is formed above the insulating layer, no less than two layers of graphene are arranged above the molybdenum disulfide layer, and the top layer is multi-layer black phosphorus; the molybdenum disulfide layer, the graphene and the black phosphorus are in contact through Van der Waals force, a source electrode and a drain electrode of a formed heterostructure are connected with the metal electrode, and the molybdenum disulfide layer and the black phosphorus are isolated through the graphene and do not make contact with each other. In the invention, the intrinsic dark current in direct proportion to the effective transmission volume of the device is greatly reduced, and meanwhile, the current carriers are limited in a two-dimensional plane and are very easy to regulate and control by a local electric field, so that the dark current of the device can be further reduced, and the problem that the detector prepared from most traditional materials needs refrigeration at present can be solved.

The invention relates to a method for verifying a Mars sky radiance simulation result based on a Mars real-shot photo, and belongs to the technical field of Mars sky background radiance. Comprises: image acquisition; performing radiation calibration; correcting dark current; performing flat field correction; converting a radiation value; and geometric correction. The Mars sky radiance simulation method breaks through the dependence of an existing model on idealized hypothesis, performs dynamic verification by using actual shot image data, remarkably improves the authenticity and reliability of a Mars sky radiance simulation result, and effectively solves the problem of systematic deviation under a specific wave band; by constructing a complete process from image acquisition, radiation calibration, geometric modeling to brightness inversion and comparison verification, dynamic feedback and closed-loop correction of a theoretical radiation model are realized, model adaptability is improved, and fine modeling under multi-temporal and multi-meteorological conditions is supported; the method can be applied to an existing Mars rover navigation camera and an image processing link of the Mars rover navigation camera, does not need additional modification, has good engineering practicability and task compatibility, and is convenient to popularize and apply.

The invention belongs to the technical field of image processing, and particularly relates to an intelligent agricultural product pesticide residue detection method and system based on a spectrum technology, and the method comprises the steps: obtaining the hyperspectral reflectivity according to the original hyperspectrum, dark current and whiteboard image data; calculating an illumination confidence factor by using the average spectral intensity; performing linear scaling on the obtained standard biological matrix background spectrum according to the illumination confidence factor to obtain a local background estimated value and obtain a net residual spectrum; generating a pesticide residue distribution thermodynamic diagram by combining the cosine similarity of the net residual spectrum and the target pesticide standard fingerprint spectrum and the noise suppression weight based on the illumination confidence factor; and pesticide residue detection is carried out according to the statistical characteristics of the connected region of the suspected defect mask. Through adaptive background deduction and noise suppression, the problems of uneven curved surface illumination and strong background interference are solved, and the detection accuracy is improved.

The invention relates to the technical field of gas station safety risk assessment, in particular to a gas station safety risk assessment method and system. The gas station global infrared image is acquired in real time by deploying the multi-band infrared imaging array, dark current compensation, gain correction and atmospheric transmittance calibration are combined, the oil gas concentration detection precision is remarkably improved, and based on the homography matrix dynamic coordinate alignment technology, the oil gas concentration detection precision is greatly improved by utilizing mark point re-projection error optimization and feature point optical flow tracking. The problem of coordinate drifting caused by thermal deformation is solved, it is ensured that the space positioning error is continuously lower than 2 pixels, and by combining time sequence concentration field construction and a hybrid prediction model, precise deduction of an oil gas concentration field at any moment in the future is achieved, real-time monitoring of a gas station is achieved, and fire blast accidents caused by detection lag are eradicated from the source; the technical problem that potential safety risks are difficult to discover in time through an existing method for monitoring the oil gas concentration of the gas station is solved.

The invention discloses a graphene intercalation-based black phosphorus photovoltaic detector and a preparation method thereof. The graphene intercalation-based black phosphorus photovoltaic detector comprises a low-resistance silicon / silicon dioxide substrate, a left contact electrode, a right contact electrode and a sandwich structure layer from bottom to top, the left contact electrode and the right contact electrode are deposited on the low-resistance silicon / silicon dioxide substrate, and a conducting channel structure is formed between the left contact electrode and the right contact electrode; the sandwich structure layer is a sandwich structure constructed by an upper black phosphorus film layer, a middle graphene intercalation layer and a lower black phosphorus film layer, and is located in the conductive channel as a photosensitive region; and the left contact electrode and the right contact electrode are respectively in Schottky contact connection with the upper black phosphorus film layer and the lower black phosphorus film layer. According to the graphene intercalation-based black phosphorus photovoltaic detector and the preparation method thereof, visible light and infrared light can be efficiently detected at the same time, and the graphene intercalation-based black phosphorus photovoltaic detector has the excellent characteristics of low dark current, quick response, high-sensitivity low-power-consumption detection and the like.

The invention discloses a detection method for fertilizer production, and relates to the technical field of fertilizer detection.The detection method comprises the following steps that a near-infrared multispectral visual detection system is installed at the working section before packaging of a fertilizer production line, the positions of a camera and an illumination source are adjusted, and multispectral images of fertilizer particles are collected; sequentially carrying out dark current correction and flat field correction on the acquired image, eliminating noise and uneven illumination, and then carrying out median filtering to remove random noise; selecting a waveband image with the best contrast ratio, separating particles from the background through threshold segmentation, and positioning each independent particle after optimizing the boundary through morphological processing; and based on the multi-band reflectivity difference, analyzing the surface material of the particles pixel by pixel, and counting the proportion of the coating area of each particle to obtain the coating coverage rate of the single particle. By introducing the near-infrared multispectral visual detection technology and the coating uniformity quantitative analysis model, non-destructive and high-precision online detection of the coating coverage rate of the fertilizer can be realized.

The invention provides a polarization hyperspectral water quality monitoring system and method, and the system comprises a tower footing polarization hyperspectral imaging module which is disposed on a building beside a to-be-detected water area, and carries out the area array staring scanning of the to-be-detected water area through a polarization hyperspectral imager, so as to obtain a water body polarization hyperspectral image signal of the to-be-detected water area; the image spectral data processing module is used for deducting dark current and spurious signals from the water body polarization hyperspectral image signals, and calculating the water body spectral reflectivity of the water area to be measured according to the water body polarization hyperspectral image signals by combining a gray value and reflectivity relation model constructed by using the hyperspectral image signals of the gray scale calibration plate; and the water quality parameter spatial distribution inversion module is used for performing inversion on the to-be-detected water quality parameters of the to-be-detected water area according to a pre-constructed water quality parameter inversion model and the water body spectral reflectivity. According to the technical scheme, the integration level is high, the automation degree is high, rapid deployment can be achieved, and all-day continuous unattended monitoring can be achieved.

The invention discloses a zero-dead-time single photon counting system based on time division multiplexing, and belongs to the technical field of laser radars. The system comprises an optical multiplexer, N detection channels, N delay modules, a shift register and a counting circuit, according to a time division multiplexing mechanism, a time axis is divided into a plurality of independent time slots, and in different time slots, incident signal light is input into different detection channels according to a preset sequence, so that zero-dead-time single photon counting is realized. According to the invention, the dead time problem of a traditional single-photon detector is solved, the photon counting pulse and the dark current pulse are effectively distinguished through a multi-parameter pulse discrimination technology, the signal-to-noise ratio of the system is significantly improved, and a reliable solution is provided for application scenes requiring high-sensitivity detection, such as laser radar and quantum communication.

A system for modifying a dark current image is configurable to receive an input image depicting a dark current state for one or more pixels of the input image, The dark current state for one or more pixels of the input image comprises one of: a faulty state or a non-faulty state. The system is configurable to partition the input image into a plurality of partitions and generate an updated input image by imposing at least one quantity constraint or at least one severity constraint to the plurality of partitions in association with at least one type of dark current state.

The invention discloses a black silicon broadband photoelectric detector based on alternating current photovoltaic effect optimization. The device comprises an alternating-current photovoltaic effect unit, a core light absorption layer, a heterostructure building layer, a top electrode and a bottom electrode, the alternating-current photovoltaic effect unit is used for generating a periodic flash field, irradiating the periodic flash field on the surface state of the heterogeneous pn junction to capture or release transient charges, and collecting the transient charges to perform ultra-high-sensitivity optical detection; the core light absorption layer is made of a black silicon material and is used for improving light absorption through a surface micro-nano structure, widening the light absorption range and providing a surface state as an active site for capturing or releasing transient charges in an alternating current photovoltaic effect; the heterostructure layer and the core light absorption layer form a heterogeneous pn junction so as to construct a built-in electric field to promote generation, separation, migration and recombination of carriers. According to the invention, the characteristics of wide spectral response, ultrahigh sensitivity, low dark current and zero-bias working can be realized, high-precision detection can be carried out under weak light, and the development of high-precision technology is facilitated.

The invention provides a multi-camera curved screen Demura compensation data dynamic splicing method and system, and relates to the technical field of display, and the method comprises the steps: carrying out the flat field correction, dark current correction and dead pixel correction of a plurality of cameras, and obtaining the cameras after uniformity correction; generating a positioning map, collecting the positioning map through a plurality of corrected cameras, and calculating a sub-pixel coordinate mapping relation corresponding to each camera; dynamically estimating the curvature change of the curved screen, constructing a curved surface calibration model and generating a curved surface correction coefficient; performing brightness range correction on the curved surface correction coefficient to obtain a corrected dynamic curved surface correction coefficient; and brightness correction is carried out on gray scale images acquired by the plurality of cameras, and seamless data splicing is realized through brightness calibration among the cameras. The method effectively solves the problem of data acquisition and splicing of the large-size curved screen, is suitable for various display devices, reduces the hardware cost and the process complexity, and has high precision, flexibility and wide application prospects.

The invention belongs to the technical field of two-dimensional material photoelectric devices, and particularly relates to a Van der Waals heterojunction with a unipolar barrier and polarization sensitivity and application of the Van der Waals heterojunction. A p-type material Ta2NiSe5 with anisotropy is used as a collection layer of a bottom layer carrier, an n-type material ReS2 with anisotropy is used as an upper light absorption layer, WSe2 is used as a middle barrier layer, a Van der Waals heterojunction with a unipolar barrier and polarization sensitivity is constructed, and then the photoelectric detector is prepared. The photoelectric detector made of the constructed Van der Waals heterojunction has the characteristics of low dark current, high detection rate, wide band and polarized light response.

An organic material comprises a structure such as Formula I:The structure contains polycyclic fused rings, diene groups, and naphthalene rings, which can effectively enhance the thermal stability of the material. The invention also provides an organic optoelectronic device comprising a first electrode, an active layer, and a second electrode. The active layer comprises the aforementioned organic material. This organic optoelectronic device exhibits great dark current density, detectivity, and photoelectric conversion efficiency in the near-infrared wavelength range, as well as superior thermal stability.

The invention provides an etching method of a double-color second-class superlattice infrared detector, and belongs to the technical field of chip manufacturing. The method comprises the following steps: providing a double-color second-class superlattice infrared detector, and forming a photoresist mask on the surface of the double-color second-class superlattice infrared detector; under the condition that the ratio of the longitudinal etching rate to the transverse etching rate is not less than 5: 1, performing dry etching on the surface of the double-color second-class superlattice infrared detector to obtain an initial mesa structure; the initial mesa structure is subjected to wet etching, a middle mesa structure is obtained, the wet etching time is smaller than or equal to 2 min, and the wet etching temperature is smaller than or equal to 10 DEG C; and post-processing the middle table-board structure to obtain the table-board structure. Through organic combination of a high-anisotropy forming effect of dry etching and a low-damage repairing effect of wet etching, the low surface damage characteristic is considered while high aspect ratio etching is realized, the dark current of the device is fundamentally reduced, and the intrinsic detection performance of the device is improved.

The invention provides a distributed optical fiber temperature measurement method and device, electronic equipment and a storage medium, and belongs to the technical field of optical fiber detection. Multi-dimensional data acquisition including light source power fluctuation data, detector dark current data, optical fiber loss distribution data and environment temperature and humidity data is realized; preprocessing the collected multi-dimensional data, constructing a light source power drift model and a detector sensitivity drift model, and fitting model parameters; and calculating a corresponding error correction coefficient based on the light source power drift model and the detector sensitivity drift model, correcting the ratio of anti-Stokes light intensity to Stokes light intensity of Raman scattering in combination with a dynamic correction result of an optical fiber attenuation coefficient by environment temperature and humidity data, and outputting calibration temperature data. Therefore, on the basis of the Raman scattering technology, light source power fluctuation and detector sensitivity drift core errors are eliminated through a multi-dimensional error compensation model, and the temperature measurement precision is improved.

The invention provides a Ga2O3 / Bi2Te3 transverse heterojunction photoelectric detector and a preparation method thereof, and the method comprises the steps: S1, obtaining a Ga2O3 substrate, and carrying out the patterning, photoetching and etching of the Ga2O3 substrate, and obtaining a Ga2O3 active region; s2, depositing a SiO2 protective layer on the Ga2O3 active region, and patterning on the SiO2 protective layer to obtain an ion implantation region exposing the surface of the Ga2O3 active region; s3, single-side Si ion implantation is carried out on the Ga2O3 active region in the ion implantation region, and ion implantation activation annealing is carried out; s4, depositing a first metal electrode on the ion implantation region by using an EBV and stripping technology, and performing ohmic annealing on the first metal electrode; and S5, depositing a Bi2Te3 thin film on the other side, opposite to the ion implantation region, of the Ga2O3 active region by using a magnetron sputtering and stripping technology, and depositing a second metal electrode on Bi2Te3 by using an EBV and stripping technology to obtain the pn transverse heterojunction photoelectric detector with excellent performances such as high light responsivity, high light detection degree, low dark current and high response speed.

The utility model discloses a photodiode dark current testing device, comprising an LED lamp, a light shield, a dual-channel power supply, a desk type universal meter, a one-chip microcomputer control board and a multi-channel test board, the light shield is covered on the multi-channel test board, the multi-channel test board is provided with PD sockets having the same number as the channels of the multi-channel test board, and the PD sockets are connected with the desk type universal meter. The PD socket is composed of a 4P socket and Y-shaped sockets arranged side by side. After the scheme is adopted, the efficiency is greatly improved through multi-channel testing, and the vertical pins can be automatically tested through the design of the Y-shaped socket.

A system for modifying a dark current image is configurable to receive an input image depicting a dark current state for one or more pixels of the input image, The dark current state for one or more pixels of the input image comprises one of: a faulty state or a non-faulty state. The system is configurable to partition the input image into a plurality of partitions and generate an updated input image by imposing at least one quantity constraint or at least one severity constraint to the plurality of partitions in association with at least one type of dark current state.

A system for facilitating dark current compensation by weighted filtering is configurable to (i) receive an input dark current image; (ii) generate a corrected dark current image at least by scaling pixel values of the input dark current image based upon ambient light conditions; and generate a weight map comprising a weight value for each pixel of the corrected dark current image. For each pixel of the corrected dark current image, the weight value of the weight map may be based upon a light level of the pixel of the corrected dark current image. The system is also configurable to generate an output image by utilizing the weight map to filter an input image.

The invention relates to the technical field of pet food spectrum detection, and discloses a pet food spectrum detection device and a detection method. Sampling at equal intervals in a preset wavelength range, and eliminating noise interference through dark current and standard whiteboard calibration; taking a natural logarithm of the reflectivity to balance a dynamic range; constructing a linear spline basis in an equidistant and segmented manner, and adaptively calculating a regularization coefficient according to the energy ratio of the signal to the basis function; constructing an augmented matrix according to a basis function and a signal inner product, and solving a spline coefficient through Gaussian elimination; reconstructing a spectrum by using the coefficient and quantifying a residual error; establishing a reference model based on the coefficient mean value and the standard deviation of the multiple qualified samples; comparing the Euclidean distance between the to-be-detected sample coefficient and the model mean value with a threshold value, and generating a residual error, a distance, a threshold value and a judgment report; empirical parameters or manual adjustment and optimization are not needed in the whole process, online adaptive detection in batches can be achieved, and noise correction, feature enhancement, over-fitting suppression and traceable rapid and accurate detection are achieved.

The invention relates to a perovskite single crystal radiation detector capable of working stably under high bias voltage and a preparation method thereof, the detector comprises a perovskite single crystal material layer, a titanium electrode layer and a grounding electrode layer, and the titanium electrode layer and the grounding electrode layer are respectively arranged on the upper side and the lower side of the perovskite material layer. The perovskite radiation detector disclosed by the invention can stably work under high bias voltage, and compared with a currently reported perovskite radiation detector, the perovskite radiation detector disclosed by the invention can realize long-term working stability without any passivation or polishing post-processing method on the perovskite single crystal. The perovskite radiation detector can work stably under high bias voltage, and is low in dark current, low in detection limit and high in sensitivity.