Environmental factors including temperature, humidity, and gas atmosphere directly determine the daily performance, growth rate, and immune status of livestock and poultry in a farm. It is highly urgent to detect the factors for real-time monitoring the health state of livestock and poultry, particularly the relationship between environmental factors and health state. Therefore, a healthy aquaculture pattern can be developed to optimize the breeding environment. In this study, a mobile intelligent monitoring platform was established to detect the key environmental factors within the whole area. An integrated sensor system was installed in the fixed important points. A four-wheel trolley with sprocket wheels was used to drive the platform. The motor and transmission components were installed inside the car body in the need of waterproof and anti-corrosion. The upper side of the car was sealed with a cover plate, and only the integrated sensor system installed on a foldable telescopic mechanism that needs to be exposed was fixed on the plate. Height adjusting of an integrated sensor system was performed via changing the folding angle and telescopic length of a foldable telescopic mechanism. The sensors were assembled separately and disassembled conveniently, in order to facilitate repair and maintenance, and even the integrated sensor system was replaced as a whole. AnSTM32 microcontroller was used as the master control unit in the system. A PCB-integrated sensor system was selected to detect the temperature, humidity, CO2, H2S, NH3, and dust concentration in the environment. Three standard conditions were set for the detection. Specifically, when the livestock or poultry felt uncomfortable, their behavior appeared too quiet or too irritable. When the livestock or poultry was sick, their body temperature was abnormal. When an infection occurred, the surface of the skin was ulcerated. A camera with a high-speed image transmission and a remote infrared temperature measurement device was used to monitor the livestock and poultry, where the abnormal state of their body temperature was observed in time, and the infection was found at an early stage. Two monitor sensors were installed on an electromechanical actuator, which was fixed on an electromechanical indexing plate in the front of the mobile platform. The actuator was used to adjust the pitch angle, whereas, the indexing plate was used to change the horizontal angle. An Ultra-Wide Band(UWB) wireless system was also selected to accurately locate the position of the mobile platform. All the data was sent to the STM32 microcontroller in UART, IIC, or analog output mode. The STM32 microcontroller processed the data with the Savitzky-Golay filtering, and then uploaded the data to the Ali Cloud IoT platform through a WIFI module. The users can login to the web page to remotely access the data, and thereby monitor the status of livestock and poultry in real time. The experimental results show that the detection data of a mobile intelligent detection platform was similar to that of the sensors in the former pig farm, where the difference between them was less than 10%. The positioning error was close to the 10 cm level, when the base stations were located at the optimal position. The monitoring data were reliable, and the mobile intelligent monitoring platform ran stably for a long time. The mobile platform can also serve as a carrier to transport about 200 kg of heavy objects. For instance, materials and livestock can be transported by the platform, when installing an upper cover plate with a winch and inclined plane on the surface. The proposed mobile intelligent monitoring platform can provide a hardware foundation for whole-scale environmental monitoring of livestock and poultry farms.