Photoelectric detector surface damage state polarization imaging type detection system

In the photoelectric detection system, the photoelectric detector can convert the optical signal to be measured into a current signal, and the current amplifier transforms the current signal output by the detector into a voltage signal for amplification. In this study, the photo-multiplier tube (PMT) is selected as the photoelectric detector. Compared with other photoelectric detectors, it can obtain higher internal gain, higher sensitivity, and better response performance. The current amplifier is prepared by pre-amplifier and voltage amplifier. In order to capture photoelectric signals well, a large-format scanning system is set up to design each component module, control module, and host computer module of the system. Besides, a machine learning-based algorithm is proposed, namely semi-supervised manifold image recognition algorithm, which is used for identify photoelectric detection images. In the test process, the printed circuit board (PCB) and sapphire material are firstly used as the substrate of the current amplifier, and their influences in the circuit are compared. The peak value of the output noise of each substrate circuit is around 2.8 mV when the input of the current amplifier is short-circuited. Then, the signal gain and signal bandwidth of the photoelectric detection system remain stable when there is no optical signal input. During the process of changing the system signal gain ratio, the noise output of the system is the lowest when the voltage of PMT is 0.50 V and the current amplifier gain is set to 2.2 × 105 V/A. The proposed recognition algorithm can identify different types of targets well. After the image is projected into a two-dimensional space by the algorithm, the distance between classes increases, and the targets in the class promote aggregation, thereby enhancing the identify-ability between samples.

The photoelectric detection system stands as a crucial instrument for target identification and task execution within diverse environments. The system is frequently confronted with rapid task alterations in the context of communication remote sensing observations. Conventional detection systems encounter challenges in swiftly adapting, underscoring the pressing necessity for an intelligent photoelectric detection system capable of multifaceted tasks and rapid alignment with communication remote sensing settings. This study undertakes a technical exploration of the intelligent photoelectric detection system, delineating the coexistence of semi-intelligent and fully intelligent modes. While the semi-intelligent mode is selected for specific task scenarios, the fully intelligent mode seamlessly takes precedence in the absence of specific tasks. Upon task assignment, the detection mode is designated, automatically calibrating system parameters (operating bands, aperture, integration time, gain, and focal length) in alignment with task requisites. The architecture comprises a detection module capable of seamlessly transitioning between imaging and spectral dimensions, complemented by an autonomous data processing module crafted through DSP+FPGA+ARM technologies. Grounded in this technological foundation, the study designs and employs an intelligent photoelectric detection system to procure communication remote sensing image data, focusing on underwater acoustic signal analysis. The system’s configuration facilitates the creation of a communication remote sensing photoelectric detection mechanism specifically tailored for underwater acoustic signals. Rigorous experimentation involving laser communication in air and sound waves in water culminates in the successful acquisition of communication remote sensing image data. Experimental findings affirm the system’s efficiency in effectively detecting underwater acoustic signals.

To solve the unstable problem of target tracking detection system, this paper proposes an improved mean-shift algorithm for object tracking, establishes object tracking processing model;provides the processing algorithm of object tracking. According to the principal of object tracking, papersets up sky background brightness calculation model in photoelectric tracking optical detection area and detection capability calculation model of space object, analyzes the effect of background illumination on the signal to noise ratio(SNR) of photoelectric tracking system, gives the change curve of detection capability based on the exposure time of CCD camera, SNR threshold of photoelectric detection system and dark current of photoelectric detection system. Through calculation and test , paperprovidesthe comparison results of the improved mean-shift and traditional mean-shift, verifies the correctness of the proposed algorithm and calculation models for photoelectric detection capability in target tracking detection system, the results show the improved mean-shiftobject tracking algorithm and detection capability calculation model are correct.

Self-powered silicon PIN photoelectric detection system based on triboelectric nanogenerator

The traditional photoelectric detection systems are mostly designed based on a single task and cannot meet the needs of target detection and identification for different tasks. A concept of adaptive photoelectric detection system based on the system parameter library has been proposed. The method of analyzing the measurement data in orbit and correcting the system parameters adaptively for different task requirements is described. This paper focuses on the establishment of the system parameter library and the method of selecting the working band adaptively and identifying the scenes. For point target detection, the synthesize signal-to-noise ratio are used as the basis for parameter adjustment. The adaptive photoelectric detection system generates the feedback of parameter adjustment and adjusts parameters including integration time, frame rate, pixel size and quantization bits to achieve the best detecting mode.

A white light photoelectric aerosol detection system suitable for free atmospheric determination of particle concentration from ground level to about 28 km altitude is described. Particle size distributions obtained in situ over the radius range of approximately 0.16 to 1 μm on three soundings are presented. The tropospheric distributions show close to power-law dependence, dN/dlogr=r−3.3, whereas the stratospheric distributions have a steeper power law slope for r≳0.3 μm and a flatter slope for r≳0.3 μm, agreeing well with a recent impactor-derived distribution using a new analysis model. These findings question the validity of earlier globally representative distribution models.

The dynamic deflection measurement is an important component to the bridge loading test of high-speed railway bridge. Using inclinometers to test the Dynamic deflection is a good method for High-Speed Railway bridge deflection detection. In this paper, we develop a new inclinometer and a new theory to fast calculate deflection. It has been use to detect the dynamic deflection of Baishui River bridge on FuZhou-WenZhou High-Speed Railway when high speed train runs across at kinds of speed. Results indicate: comparing with the measurement results of photoelectric deflection detection system, all dynamic deflection measurement results of inclinometers are very accuracy. Their deflection curves are also similar. All results also show: Using our inclinometers to test High-Speed Railway bridge dynamic deflection can get precise results and can satisfy the dynamic deflection measurement request of high-speed railway bridge. Comparing with other methods of dynamic deflection measurement, this method is very easy to operate., do not need stop the traffic, and not affected by weather, and not need a static reference point, can measure the dynamic deflection of any beam bridge.

A kind of photoelectric detection method based on black-white bar code and modern photoelectric detection technology is put forward for measuring the displacement deviation of printing press cylinder surface in high-speed motion state. A high-precision noncontact photoelectric detection system is designed and implemented. The accurate testing bar code cooperates with the high-speed A/D mixed signal processing system, the position deviation of every point on the circumference of the printing press system in high-speed measurement state can be obtained, low measurement error which is in the range of ±10μm. The given experiment results indicate that: the system has stable working condition, high measurement speed, and the system provide a new kind of monitoring technology to effectively deal with the overprint deviation.

The changed environment factors will affect the capture rate of target and the detection performance in photoelectric detection screen testing system, to improve the detection performance of system, it is very necessary to establish the target optical characteristic model and correlation detection probability calculation model. Based on the detection principle of unit photoelectric detection screen and the spatial geometric relation of four photoelectric detection screens testing system, this article establishes a new target radiation characteristics calculation model by using target's radiation luminance and radiation energy, gives the output signal expression function, derived the detection probability function by signal to noise ratio (SNR) and false alarm probability. Through calculation analysis, the results show that the detection probability of four photoelectric detection screens testing system is related to the target optical characteristic, the output photoelectric current and SNR of photoelectric detection receiving sensor can describe target detection performance. According to the experiments testing, the proposed calculation model can effectively evaluate the performance of photoelectric detection screen testing system.

High-resolution imaging is at the heart of the revolutionary breakthroughs of intelligent technologies, and it is established as an important approach toward high-sensitivity information extraction/storage. However, due to the incompatibility between non-silicon optoelectronic materials and traditional integrated circuits as well as the lack of competent photosensitive semiconductors in the infrared region, the development of ultrabroadband imaging is severely impeded. Herein, the monolithic integration of wafer-scale tellurene photoelectric functional units by exploiting room-temperature pulsed-laser deposition is realized. Taking advantage of the surface plasmon polaritons of tellurene, which results in the thermal perturbation promoted exciton separation, in situ formation of out-of-plane homojunction and negative expansion promoted carrier transport, as well as the band bending promoted electron-hole pair separation enabled by the unique interconnected nanostrip morphology, the tellurene photodetectors demonstrate wide-spectrum photoresponse from 370.6 to 2240nm and unprecedented photosensitivity with the optimized responsivity, external quantum efficiency and detectivity of 2.7×107 AW-1 , 8.2×109 % and 4.5 × 1015 Jones. An ultrabroadband imager is demonstrated and high-resolution photoelectric imaging is realized. The proof-of-concept wafer-scale tellurene-based ultrabroadband photoelectric imaging system depicts a fascinating paradigm for the development of an advanced 2D imaging platform toward next-generation intelligent equipment.

Although the New Vickers Hardness Tester has integrated with today's high and new technologies, and has been digitalized, automated, intellectualized, and gradually developed into a video-based photoelectric detector, one of the key technologies still be the advanced Optical Imaging Technology. Putting this technology into use, an Optical Image Acquisition System with fine image quality can be designed and created. The key technologies of Vickers Hardness Tester are discussed in this paper with an example of Anchor Clamp Hardness Photoelectric Detection System including the Special Infinite Image Distance Optical System and Image Processing Software. A Special Infinite Image Distance Optical System composed of high amplification Semi-apochromatic Microscope Objective lens with Flat-field and long working distance and Photographic Objective lens is designed, and taking the advantage of optical device based on the Special Infinite Image Distance Optical System, the image of the shape of impression of a diamond cone can easily be acquired when it is pressed into Anchor Clamp. Indention image processing are carried out through the self-designed Image Processing Software. At present, this system has been successfully applied to Anchor Clamp Hardness On-line Lossless Automatic Detection Apparatus.

Traditional metallic meshes are a two-dimensional square structure with high optical transmittance loss, and the diffraction of light seriously interferes with the imaging quality of the detection system. In this work a metallic network conductive film with a random hexagonal surface structure is designed. This structure has a higher optical transmittance than conventional square metallic meshes. As a result of the random variables in the structure, it can also suppress the stray light of high-order diffraction. Then we prepare a metallic network conductive film on a ZnS optical window with a line width of 4 μm and a period of 100 μm. The metal lines of the sample are clear, the line width is uniform, and there is no dotted line. The transmission loss of the ZnS optical window is 10.5% in the long-wave infrared band (LWIR) band but only 6.8% in the visible band, which has low energy loss. At the same time, it can achieve uniform optical diffraction, thus reducing the imaging interference to the photoelectric detection system. The numerical simulation results show that the average EMI shielding efficiency is 37.9db, which is in an electromagnetic spectrum range from 0.2 GHz to 20 GHz, and its minimum shielding efficiency is 29.6 dB, which is 3.2 dB higher than the traditional square mesh’s. The random hexagonal structure metallic network conductive films designed and prepared in this paper have excellent optical properties and EMI shielding efficiencies, which is of great significance in improving the comprehensive performance of the graphical optical window.

The profile of the absorption line 4 2S1/2-5 2P1/2, λ 4047 Angstrom, broadened and shifted by krypton pressures of up to 1 atmosphere, has been determined by means of a high-resolving-power plane-grating spectrograph with a sensitive photoelectric detection system. Both the impact core of the line and the quasi-static red wing, which shows a satellite band, have been interpreted in terms of a Lennard-Jones interaction potential. It is shown that a consistent interpretation of both the core and the red wing can be achieved. The force constants of the potential V(r) = C12e/r12 - C6e/r6 for the excited state 5 2P1/2 of potassium and the ground state of krypton are found from the measurements to be C6e = 6·2 × 10-57 erg cm6 and C12e = 1·4 × 10-99 erg cm12. Simple theories give C6e = 4·1 × 10-57 erg cm6 and C12e = 3·4 × 10-98 erg cm12 and the agreement represented by these values is in line with what has been achieved in earlier attempts to determine interatomic force constants from measurements of collision broadening and shift.

For the overall layout and installation of car type photoelectric mast theoretically design. According to the specific requirements of photovoltaic masts were set cars and shelter in the form of choice, the specific form of the photovoltaic installation masts were discussed, matching photonics mast with its support of the photoelectric detection system installed analyzed, the final completion of the car type Optical mast design the overall layout and installation of photoelectric detection.

UV-NIR polarization sensitive metamaterial absorber based on two-dimensional titanium grating