In recent years, China has attached great importance to the cause of wildlife protection, strengthened the protection of wildlife habitat and rescue breeding work, and cracked down on the illegal trade of wildlife and ivory and other animal products, which has achieved remarkable results. Wildlife is a valuable resource for human beings and an indispensable part of the natural ecology. Wildlife protection work should be multi-pronged and comprehensive, insisting on systematic, legal, comprehensive and source management. In the Internet era, it is more important to use information technology, innovative protection methods to strengthen the protection of wildlife.

One is the research and development of the Internet information application, through the wildlife protection law enforcement supervision and group prevention and control "last kilometer". In the monitoring of wildlife network suspicious transactions, we can follow the principle of "case characterization, characterization indicators, indicator modeling" to analyze the suspicious transactions, and get the dimensional risk information needed for modeling. Text mining and machine learning technology solutions are adopted for modeling, and the suspicious cases generated by the model are mined. After manual screening, it reports to the relevant departments and takes offline control and combat actions. At the same time, through the establishment of an Internet reporting platform and other means, the "mass line" of mass prevention and control in the information age can be established in the wildlife protection work. For example, a social platform on-line wildlife protection reporting small program, the user as long as the prompts to enter the relevant network of illegal wildlife trading illegal information, the data will be screened by the "species identification knowledge base", customer service personnel on each report information for trial identification, to achieve a convenient closed-loop reporting experience. The security team will conduct in-depth excavation of the wildlife trafficking industry chain through the reporting of clues, and promptly hand over to the law enforcement departments to promote the filing of cases.

The second is the application of Internet of Things (IoT) technology and smart image recognition technology to build an early warning radar for wildlife protection. At present, the intelligent image recognition technology has been relatively mature, law enforcement officers in the fight against trade in wildlife trading process, can use the machine vision system to assist in determining whether the trading animals are illegal wildlife, the use of image acquisition device to collect the target object (can be used in two kinds of CMOS and CCD cameras), and the target object into a digital image, the digital image processing module according to the algorithm has been developed to process digital images. The digital image processing module processes the digital image according to the formulated algorithm, extracts the required image feature information, and finally recognizes the information of the wild animals in the transaction, solving the difficult problem of recognizing the wild animals in the law enforcement process. Timely, accurate and comprehensive early warning report on the information of wildlife trade. For example, a platform cooperates with the Ministry of Tourism and Wildlife Conservation of Kenya to build an early warning system for wildlife protection, which can monitor multi-dimensional information such as the location, movement speed and body temperature of wildlife 24 hours a day. When wild animals may abnormally invade residential areas or suffer from diseases, they can be rescued in a timely manner. The drones and infrared cameras can automatically recognize whether those entering the protected area are poachers, and carry out early warning and patrol personnel scheduling.

The third is the application of satellite remote sensing technology, for wildlife protection to create a "thousand miles of eyes". Remote sensing technology applied to wildlife monitoring is based on the theory of electromagnetic waves, not directly in contact with the object of study, from high altitude or long distance, through the sensor on the characteristics of the object of study to measure the method. The remote sensing monitoring method of wildlife is based on the electromagnetic waves emitted and reflected by the wildlife itself and its habitat and living environment. The most important feature of applying remote sensing technology for wildlife monitoring is that it is rapid and accurate. Since satellites keep orbiting around the earth and repeat the global image data, it is possible to obtain the most timely and accurate intelligence information and, by comparing the images of the same area at different times, to monitor and discover the dynamic changes in the living environment of the wild animals in a timely manner and to prepare wildlife maps. For example, relying on the Beijing-Tianjin-Hebei wildlife resources supervision work platform, a department has developed a mobile law enforcement platform for wildlife supervision by utilizing the Beidou GISA system. Through the mobile platform, it can carry out visual management of wildlife law enforcement inspection objects, scientifically plan inspection routes, standardize the issuance of "inspection record sheets" and quickly generate "inspection daily reports", which greatly improves the efficiency of law enforcement and the rationality of work planning. It also monitors the wildlife resources in key areas and generates daily summary reports, realizing scientific, comprehensive and refined monitoring of wildlife resources.

In addition, the exploration of "Internet + wildlife protection" has a wide range of application scenarios. For example, based on the big data tracking technology can be implemented GMP flight inspection system, in the case of the inspection unit does not know the situation, the key areas, trading places and suspected objects to implement the GMP flight inspection, to enhance the effectiveness of the special rectification action of the illegal trade of wildlife. Again, based on blockchain technology to establish a licensed network trading animal identification code system, the animals entering the market circulation to be numbered, with the help of blockchain technology, the establishment of the corresponding database, and recorded from the capture, processing, transportation to the sale of the whole process of traceable traceability files, to prevent wild animals from entering the market circulation, and a comprehensive ban on the consumption of wild animals. Should actively and steadily explore the depth of the application of information technology in the field of wildlife protection, all aspects of improving law enforcement and regulatory capacity, standardize market behavior, so that man and nature harmonious **** life.