Under the background of the development of higher education, according to the characteristics of college student management, after analyzing its background and practical significance, this study constructs an intelligent college student management system of Internet of things based on machine learning. The data volume of the Internet of things is huge, so ensuring the normal and efficient operation of the system is the primary goal. In this study, the data management model of the system is constructed with the help of cyclic neural network in machine learning algorithm to predict the data and optimize the computer program. At the same time, the system data are filled and classified by the k-nearest neighbor model, and the data are trained and simulated by constructing a safe bilstm neural network system. Because the information related to students in the university database involves personal privacy, in order to ensure the security of the system and avoid relevant data leakage, in the judgment standard of configuration error data flow, this study calculates the monitoring abnormal data and loss function through the dark network flow and ip2vec algorithm, so as to establish the system abnormal monitoring model and identify the system error data flow. Finally, it constructs the college student management system and expounds on the basic requirements of the system use cases. After a series of tests of system performance, capacity, and stability, the results meet the basic requirements of system operation, which provides a certain reference for the application of college student management in the future.

矽肺是吸入游离二氧化硅粉尘颗粒所导致的以肺间质纤维化为主的全身性疾病，在我国属于法定职业病。矽肺一旦发生不可逆转，对人体和社会的危害影响恶劣。矽肺病的危害已引起了全世界广泛关注，而我国是矽肺大国，尘肺病人数、接触粉尘作业人数都居世界首位，我国矽肺的发病率仍呈上升趋势，我国矽肺问题已成为重大公共卫生问题和社会问题，矽肺的防治形势十分严峻。通过建立二氧化硅（SiO2）粉尘诱导的大鼠矽肺病变模型，探讨黑木耳粉对矽肺纤维化形成的影响。

本研究以某钢铁公司职工肺炎患者作为研究对象，进行回顾性调查，为了了解钢铁职工肺炎的流行现状及影响因素，并提出相应的预防措施。

The information development situation in our country and its problems are analyzed in detail. The integrating point of data mining technology based on association rules and information management in China′s each unit is found out. The design scheme of data mining technology system based on association rules is proposed. This scheme is helpful to optimize the re?source allocation of all units in China,promote the decision?making rationality of the leader,and has great practical significance to improve the comprehensive strength of all units in China and promote the comprehensive development.

为提高中值滤波效果，本文提出了中值滤波的改进算法，对邻域进行中值运算前，先对邻域中的像素点进行甄别，剔除邻域中的脉冲干扰像素点，利用剩余的像素点进行中值滤波运算。利用较中值滤波邻域更大的邻域进行噪声像素点的鉴别，而利用较小的邻域进行剔除噪声点的中值滤波运算，从而即保证了噪声像素点的鉴别的可靠性，又保证了图像滤波的清晰度。

The magnetic medium density is very useful for the dense medium coal washing process automation.A method of mutual inductive magnetic medium density measurement which takes Microchip microcontroller as a core is described.The mutual inductive sensor of solenoid coil made by winding enamei-insulated wire on a pipe is used.The exciting signal is sinusoidal wave current.The mutual inductance of the sensor can be masured by measuring the amplitude of the sinusoidal voltage of the secondary coil,and then the magnetic medium density in pipe can be measured.This mathod is simple and reliable compared with the inductive magnetic medium density measurement,and eliminates the temperature drift magnetic medium density meter.

This article briefly introduces the iron ore grinding classification process and analyzes the distribution of mining energy consumption. To realize the energy conservation of the mill by using genetic BP neural network, we make MATLAB simulation test. It shows feasibility and superiority of the control scheme, which has some meaning for energy conservation and reducing consumption of iron mine.