随着信息技术不断的普及，畜牧业信息化也得到了较快的发展。安徽是生猪养殖大省，生猪产业在本省畜牧产业中占到了很大的比重，从全国来看，安徽的生猪养殖也占据着不可估量的地位。安徽本地猪品种多、肉质鲜美、营养价值高，但是其生长周期长且安徽的生猪养殖大多以小规模和中规模养殖为主，这就导致了饲养安徽本地品种猪的人工成本较高，饲养数量较少，本地猪种的数量逐渐减少。针对安徽本地猪品种生长周期长、小规模养殖人工成本高等问题，开发了生猪养殖信息化管理平台，实现贯穿生猪养殖全过程的信息智慧管理。平台采用B/S的架构，分为视图层、逻辑业务层和数据层三个层面，具备公猪母猪事件、仔猪育肥猪事件、猪场兽医、统计分析等8个功能事件，融合了移动终端与web端，贴近生产要求设计了合理的数据库结构。便捷了小规模的用户使用，最大程度的降低了生猪饲养的人工成本，提升了生猪养殖的智能化、标准化、信息化程度。试用结果表明，该生猪养殖信息化管理平台可以为小规模的生猪养殖提供高效全面的信息化管理，降低生产成本，同时能够对生产数据进行动态监测并提供科学的决策。

With the continuous popularization of information technology, animal husbandry informatization has rapidly developed. As a major pig breeding province, Anhui occupies a vital position in the animal husbandry industry in China. There are various breeds of local pigs in Anhui, and the meat of local Anhui pig breeds is delicious and has high nutritional value. However, the growth cycle of pig breeds in Anhui is long and mostly based on small-and medium-scale cultivation, which leads to higher artificial costs and lower feeding capabilities in native breeding pigs. Thus, the number of local pig breeds has decreased. Considering the problems of long growth cycle and high labor cost of the small-scale breeding of Anhui local pig breeds, this paper presents a pig breeding information management platform developed to realize the overall intelligent management of pig breeding information. The platform adopts a B/S architecture, which is divided into a view layer, logical business layer, and data layer. It has eight functional events, such as boarhsow events, piglet fattening, pig farm veterinarian visits, and statistical analysis. Moreover, it connects mobile terminals and the Internet. Furthermore, a reasonable database structure that closely matches production requirements has been designed. The platform is convenient for retail and small-scale users; substantially reduces the labor costs of pig breeding; and improves the intelligence, standardization, and informatization of pig breeding. The results of a trial show that the live pig breeding information management platform can provide efficient and comprehensive information management and reduce the production cost for individual and small-scale pig breeders. Simultaneously, it can dynamically monitor production data and facilitate scientific decision-making.