The Study And Development Of Laser Classification Test System Based On Mechanical Structure Design And Software Development

With the characteristics of single-frequency and monochromaticity, good directionality, high brightness, energy concentration and coherence, laser is widely used in the medical field. From diagnosis to treatment, refractive surgery to cosmetic surgery, and physical therapy to photodynamic therapy, laser is playing an increasingly important role in ophthalmology, dermatology, surgical, dental, cardiovascular division, gynecology, urology and oncology. Laser treatment depends on the biological effect such as thermal effect, pressure effect, photochemical effect and electromagnetic effect, caused by the high-energy radiation, which is characteristic of non-contact, non invasive or minimally invasive. Common medical lasers are: carbon dioxide laser, semiconductor laser, argon ion laser, Nd: YAG laser, He- Ne laser and excimer laser and ruby laser, etc.However, there are potential security issues in laser treatment. Accidental exposure in laser will harm to the eyes and high-power laser may harm to the skin. Photochemical effect of ultraviolet radiation may cause conjunctivitis or cataracts. Entrainment of High-energy effect laser may cause dermatitis. 400 nm to 1400 nm wavelength laser radiation may cause retinal damage. The laser whose wavelength is longer than 1400 nm may cause corneal injury.In order to help the laser safety program and avoid accident harm, it is necessary to categorize the laser products depends on the potential harm to human body. Mark on the surface of the classified lasers to call for users’ attention.Medical lasers are classified according to their emission hazards, which are related to the parameters of accessible emission limits, beam emission angle, angular subtense, laser output succession, exposure duration, pulse duration, laser wave length, laser output power and so on. The categories are defined by comparing its emission duration with specific emission duration limits. Therefore, we should test a series of basic parameters of the lasers for higher accuracy. And, the laser features will decide the location, distance, optics features of the test apparatus. At present, the classification process of laser needs on the spot analysis, makeshift platform, manual testing and manual calculation, which are all primary and are easily affected by environmental and artificial factors. The uncertainty of the test results is hard to estimate, and complex evaluation is needed to ensure the accuracy of the results.The research aims at developing a set of high automation and high accuracy medical laser classify system based on studying current laser safety and classification standards in china, mechanical structure design and software development, which, of course,will provide technology support for medical laser classification and safety use.Below are the works done in this study.1. Deeply study on the new standards, GB 7247.1-2012, extract the classification method of laser and summarizes the arithmetic.2. Explain the structure of the laser classification system in detail, and made a draft.3. Complete and test the hardware of the laser classification system.4. According to the laser classification standard, finish the design and test of the software. Integrate the software with the hardware, realize the automatic calculation and classification.Innovations in this paper:1. Mechanical part of the laser classification system use the coaxial 3D adjustment technology. Use optical guide and laser direction to conduct coaxial verify, coaxial adjustment and 3D adjustment. The mechanical apparatus has a distance monitor which will greatly reduce the range error caused by manual measurements.2. The medical laser level can be classified automatically by the software, which is verifiability, convenience, high efficiency and high accuracy.3. In this paper, we designed a new medical laser classification system, who has very practical value. And it integrates separate equipments, function modules and information to be a whole system, which can make classification of medical laser more convenient and efficient.