The invention discloses a large-scale greenhouse wireless monitoring system based on compressed sensation. The large-scale greenhouse wireless monitoring system comprises a data sampling module, a data processing module, a coordinator, a wireless transmitting module, a power supply module and a monitoring center, wherein the data acquisition module is used for acquiring various types of parameter information and used for transmitting the parameter information into the data processing module. By adopting the large-scale greenhouse wireless monitoring system based on compressed sensation, compression sensation theories are applied to acquisition of temperature parameters of a greenhouse system. At an information source, namely a sensation node, compression sensation encoding is implemented, through channel transmission, namely a sensor network, compression sensation decoding is implemented at an information sink, namely an aggregation node. Due to the compression sensation in a wireless sensor network, the communication volume of data is greatly reduced, the network consumption is greatly reduced, then the life cycle of the network is prolonged, meanwhile due to double-source power supply with a photovoltaic power generation function, the energy is saved, and functions are stable.