Abstract: Due to the large spatial range and complex internal structure of elevated stereoscopic cold storage, traditional wireless networking technologies often face challenges such as complex networking methods and high power consumption when monitoring temperature and humidity. Based on BLE Mesh networking, this paper proposes an energy-balanced clustering networking algorithm (EBBM), which is targetedly optimizing the traditional LEACH algorithm by constructing a node energy model. The algorithm mainly optimizes the node power consumption in the cold storage temperature and humidity monitoring network. The comparison results from Matlab simulation analysis demonstrate that this algorithm reduces the degree of data packet redundancy in the network and makes the node survival rate increased by 17.8%, indicating its practical application value.