Nowadays, lots of vision devices have set in the industry process. The vision detect results from the devices have higher requirements for data storage and network transmission. Unattended vision detection technology has become the key research directions of multispectral optoelectronic devices. However, it has different needs about the architecture of the 5G network and how to design the system with unattended work for petrochemical industry. So it is quit necessary to find a root to study optoelectronic device using 5G network, in order to get the real-time transmission of results, and edge processing. This paper introduces the architecture unattended inspection system for petrochemical industry 5G network, composition system of multispectral optoelectronic devices. Finally, we have developed a use case of unattended vision inspection architecture based on 5G network structure. And also we have analysis the related applications in the petrochemical industry application scenario.
Environment adaptability measurement, due to its important value of thermopile sensors research and direction of hot spot. Low cost, high-speed in measurement system and obtain long mean time between failure (MTBF),has become an urgent problem to be designed. In the paper, we analysis the test system and the parameter of accelerated aging. The system sets parameters to ensure the measurement data to be trust. And also, we design the electro magnetic compatibility (EMC) system to show the capacity of the disturbances. Polyethylene lens based the terahertz wave front modulation which is benefit the terahertz wave image technology. The measurement way to get the data has significant meaning for detection and quality to the thermopile sensors.
It is a hybrid design spectrometer with MWIR zooming and spectral imaging. The system realizes the searching in large field of view and recognition in small field of view which can resolve the difficulty that the target and background of spectrometer are not easy to distinguish in a single field of view. It also decreases the difficulty of spectral analysis and data dimension reduction. The collimating light beam modulated by AOTF (acousto-optic tunable filter) provides a basis for the subsequent spectral analysis. The optical system realizes three times zoom from 160mm to 480mm. The simulation achieves the effect imaging result. Experiments show that the system has both imaging and spectral recognition capabilities.
In this paper we proposed a method of monitoring industrial robot reducer online cloud platform. Based on the theory of cyber physical model, a cloud state monitoring system is designed due to the problems of complex objects, massive failure information, high stable demand and poor real-time control ability in the modern industrial robot maintain. It includes intelligent sensor and edge computing to network cloud technology. With data model, the system uses deep learning and over-limit learning algorithm on the cloud management center server. The deep learning method trains and predicts the collected fault data, and can predict the malfunction of vector reducer. Further, the intelligent optimization scheduling algorithm is used in the cloud to obtain real-time fault in industrial robot reducer. The problem of distribution and the dynamic running performance of cloud system is monitored and improved.
In wavefront coding optical system, with the traditional cubic mask plate (CMP) which owns several extension times of depth of focus (DOF), it is difficult to manufacture. With the symmetrical surface type mask plate which can be machine relatively easily, but it presents small multiples of the extension of DOF. In this paper, it makes a presentation of mask plate design by user defined surface(UDS) type where it has an easy mechanical process and several multiples of extension of DOF. It presents the analytic expression by calculation and its DLL data file which is adapted to ZEMAX. It also performs a simulation experiment based on the three mirror Cassegrain(TMC) wavefront system. The experiment results indicate that instead of the traditional mask plate, the UDS surface mask plate can obtain a larger ratio of extension of DOF and increase the valuable types of mask plate surfaces. What is more, it decreases the surface mechanical difficulty compared to the asymmetrical surface mask plate. The type of UDS surface has the unique design and the convenience manufacturing, which is of great value in both application and research.
A method for measurement equipment data description has been proposed based on the property resource analysis. The applications of common data dictionary (CDD) to devices and equipment is mainly used in digital factory to advance the management not only in the enterprise, also to the different enterprise in the same data environment. In this paper, we can make a brief of the data flow in the whole manufacture enterprise and the automatic trigger the process of the data exchange. Furthermore,the application of the data dictionary is available for the measurement and control equipment, which can also be used in other different industry in smart manufacture.
With the majority needs of the various observation, such as the public security system including security and traffic monitoring system, we can use the optical system, which can not only satisfy the wide field observation, also meet the needs of monitoring. The continuous zoom optical system, which can realize the wide field of monitoring and remain off the accurate detection would meet the requirements.
Terahertz(THz) wave modulator technology, due to its important value of imaging and detecting research. In the paper, we discuss the Polyethylene lens based the terahertz wave front modulation, which is benefit the terahertz wave image technology. Simulation results show that the optical system can extent the depth of imaging field of test objects based on continuous terahertz source. The way to get the image has significant meaning for detection and large image quality.
In this paper we demonstrated a coherent raster-scan imaging system that can acquire phase information based on continuous terahertz imaging. It mixes the terahertz with a Fs-laser by a electro-optic crystal of ZnTe to make a hybrid modulation on the crystal to achieve continuous terahertz detection. In this way, it can not only propagate for a long distance but also achieve phase detection for continuous terahertz imaging. The surface images of objects that are under test can be obtained by the Backward-Wave Oscillator, which the output power is 10mW at 205.994GHz. With the repetition frequency of 80MHz, the output power of the MaiTai is 1.65W and 100fs pulse light at 800nm. The images can achieve diffraction-limited resolution approximately. And the simulated results show that the system can obtain phase imaging of test objects based on continuous terahertz source. The way to get the phase of the signal has significant meaning for coherent detection of continuous terahertz source.
In this paper we proposed a method of phase extraction for continuous terahertz wave. Firstly, we study the mathematical relationship of phase between the electro-optic sampling signal and terahertz wave in the theory, and then build the platform of continuous terahertz wave, using BWO as the source of terahertz radiation and Fs-laser as the detection of pulse. After using differential circuit and the principle of electro-optic sampling, we detect the polarization properties of optical signal and transform it into electric signal. With the filter amplifying circuit for signal processing, we obtain the phase of continuous THz wave at 0.2 THz. This method of phase extraction provides a potential way to the continuous THz wave coherent imaging, which is of great significance to the further study on continuous THz wave coherent imaging.
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