Study Of In-site Detecting Technique Of Petroleum-series Contaminants In Environmental Water

The water resources question is the main matter in our country and even the world in the 21st century. Along with world population's growth and the industry and agriculture development, the requirement of water is growing day by day and the water has got more precious than the past. Meanwhile, as a result of humanity's production and the life, it causes the pollution of the water body and the water quality to worsen. It makes the limited water resources be less. Petroleum-series of Contaminants has been the important source of pollution in water and soil for a long time. It not only brings the enormous harm to person's health, but also destroys the water body ecological equilibrium seriously. Therefore many countries strengthen to fight against the pollution of Petroleum-series of Contaminants in the Environmental Water and soil. At present, the method of detecting Petroleum-series Contaminants in our country is backward. Between our country and the developed country has the gap. The operating process of the traditional examination method is tedious, easy to cause the error, and cannot in-site detect. It is difficult to satisfy the technical level's wanting. In order to obtain the representative correct data to improve the accuracy of application, the examination method and the instrument is very important. Only we guaranteed the advance of the method and the precision of the instrument, we could guarantee detecting the contents of Petroleum-series Contaminants fleetly and truly. We can gain our ends for solving the problem of water pollution and conservation. Therefore the purpose of the essay is to study the method of detecting the Petroleum-series Contaminants in water and develop the device. Though the study of the essay, we will find out the detecting method, technique and device adopting to our country situation. Then we can realize the in-situ detecting the Petroleum-series Contaminants and provide the scientific basis for the research, evaluation and conservation of water resource, and development of agriculture.The essay studies the theory of in-situ detecting the Petroleum-series Contaminants and proposes the system survey's fundamental model, designs the overall solutions and work flow of system realization on the basis of simply analyzing the elementary theory - Beer-Lambert law. In view of fundamental model have some faults on in-situ detecting the Petroleum-series Contaminants, this article also proposed a new designing thought. The thought is to apply the soft sensing method based on radial basis function (RBF) neural network to detect the Petroleum-series Contaminants in water. Applying the strong nonlinear approximate and studied ability of neural network, we have established the neural network model of system based RBF and had made the very good progress. The essay has utilized some key technologies and the thought to finish the system's software and hardware design. In the hardware design of optical system, we have applied some techniques including the gas filter theory of theory and the infrared narrow band filter to solve the key question involving infrared acquisition aid's signal attenuation, the gas strength signal distortion and so on. Using the Single chip computer (SCM) intelligent control method and technique, the system has realized functions including data gathering, memory, transmission, control, operation and so on. In the software design, the system has used the embedded multitasking kernel (RTX51Tiny) to become the development platform. It expands the system's hardware function and consummates the ant jamming measure. Finally we have confirmed system's accuracy and the reliability through the system testing.We obtain the following conclusion through this article researching:This essay has resolved the key problem of in-situ detecting the Petroleum-series Contaminants through the study of theory of Contaminant content , the optical system, intellectualized examination technology as well as soft sense technique based on neural network. We have explored a set of methods fitting in-situ detecting the Petroleum-series Contaminants. Finally we have completed the detect system's design and a series of experiment. Through a series of indoor simulation and the field test ,it indicated that this set of methods and the detect system can meet the requirement of field observation long time.The essay integrated the advanced sensor technology, the computer technology, the SCM technology and optical detect technology and realized in-situ detect of the Petroleum-series Contaminants in water. During the study of this essay, we realized intelligent control of the detect system through making the best of the SCM technique. In addition, this essay sets up objective system modeling based on the neural network soft sense technique aiming at the gas's absorbency and the density. The essay's purpose is to improve the system's accuracy and the measuring range and simplify the measuring process. We realized the purpose through using nonlinear approximate ability and learning ability of neural network .Therefore, the paper's achievement has manifested the innovation fully and provided the new technology and the new equipment for the detecting Petroleum-series contaminants in underground water.The popularization and application of this achievement will enable our country underground water condiment examination technology to achieve a new level. It will promote the whole detecting level of underground water condiment improvement in our country.