With the rapid advancement of ecological civilization construction in China, energy utilization methods such as recycling industrial waste heat and developing clean energy have gradually received widespread attention in the market. In this paper, a dual⁃loop cycle⁃kalina (DORC⁃KC) cogeneration system based on LNG cold energy utilization was designed. In addition, a new method for reducing acid gas emissions from industrial waste heat was proposed. Through the construction of the system thermodynamic model, the key thermodynamic parameters affecting the system carbon capture were analyzed in detail. The results show that the top cycle in the double cycle uses cyclopentane as the working fluid. By increasing the evaporation temperature and evaporation pressure, the maximum net output of the system is 367.9 kW,and the thermal efficiency is 33.29%. In the Kalina cycle, factors such as flux and concentration have a positive impact on system efficiency. The optimal thermal efficiency is 15.42% and the cold energy recovery efficiency is 20.65%. The reduction in compression pressure reduces the amount of circulating water but increase the quantity of the liquefaction of CO2. When the compression pressure is 472 kPa, the system has the highest exergy efficiency of 34.30%, carbon capture rate of 47.00%, and the amount of recycled water recovered is 167 616 t.

To solve the overlap of part of fault classes in the analog circuit fault diagnostics, a novel analog circuit fault diagnostics approach based on quantum neural networks algorithm was presented. Kurtosis and entropy were calculated as features after the time domain response signals of the circuit under test were measured, and then the different fault classes were identified by quantum neural networks algorithm. The simulation demonstrated that constructed neural network had simple network structure and the fault diagnosis accuracy was higher, which reached 99.62%.