Photographing type intelligent spectral analysis system

Abstract

The invention relates to the technical field of spectral analysis and provides a photographing type intelligent spectral analysis system. The photographing type intelligent spectral analysis system comprises a spectrum sensor, an image sensor, a collimating lens assembly, a total-reflection mirror assembly, a spectral separation lens and an imaging compression lens assembly, wherein the spectrum sensor and the image sensor are simultaneously arranged at a light exit side of an imaging and light compression lens assembly and are electrically connected with a system controller separately, the collimating lens assembly is arranged at the light exit side of the imaging and light compression lens assembly and is distributed coaxial with the imaging and light compression lens assembly, the total-reflection mirror assembly is arranged at a light exit side of the collimating lens assembly, the spectral separation lens is arranged at a light reflecting side of the total-reflection mirror assembly, and the imaging compression lens assembly is arranged between the spectral separation lens and a photosensitive surface of the spectrum sensor and is distributed coaxial with the spectral separation lens. According to the system provided by the invention, composition and content of substances of a target object can be accurately and rapidly analyzed while the target object is photographed; by using all the components in a matched manner, the sensitivity and detection accuracy of the system can be effectively improved, the directivity of the system is also effectively improved, and the detected object can be directed.

Description

technical field [0001] The invention relates to the technical field of spectrum analysis, and relates to a camera-type intelligent spectrum analysis system. Background technique [0002] Today, when the material conditions greatly meet the needs of modern life, people pay more and more attention to health. Due to the superior material conditions, people have more and more food to eat, and many lives that were never imagined before have been realized. In spite of this, people's health status has not been greatly improved, and various diseases (such as cancer) make many people with rich lives suffer from unprecedented pains and torments. The reason is mainly driven by factors such as the pursuit of high efficiency and high benefits, the amount of pesticide residues in the food we eat is too large, and our pharmaceutical processing environment has been polluted, resulting in a decline in drug efficacy and side effects. increase; most of our illnesses and pains are caused by e...

AI Technical Summary

Problems solved by technology

Among them, the chemical detection method mainly has the following defects: 1. The detection of the composition and content of the detected substance is a very complicated process, and the time period is generally measured in days; 2. For each substance that needs to be analyzed and identified A series of chemical tests must be carried out for the composition and content. If there is no targeted inspection, it is impossible to determine the existence of the substance and its content; 3. The chemical detection method will definitely produce a chemical reaction, which requires a certain amount of raw material Material samples, after a chemical reaction occurs, the original material sample will be lost, and any chemical reaction requires material contact and device contact, so it is easy to cause material components to be contaminated

However, spectroscopic analysis generally requires a relatively thin beam of parallel light. The traditional method is to use a slit to generate a beam of parallel light with a relatively small thickness and a wide width; although this method is simple and easy to implement, it also has many shortcomings. For example: 1. The parallelism of parallel light is not enough, which will easily cause spectral dispersion and affect the characteristic frequency points, which will lead to large errors in detection results and low detection accuracy; 2. The brightness of scattered light is low, and the brightness of thin beams is inherently weak. After color light, the brightness of monochromatic light will be lower, and eventually there will be detection errors due to insufficient sensitivity of the sensor; 3. Poor directionality, it is difficult to align with the detected substance

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