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In the critical stage of economic transformation and upgrading, the government has a strong incentive to intervene in the investment behaviour of enterprises under the double assessment of political and economic indicators. This paper found that government intervention has a significant impact on enterprise investment, by providing financial support and other means to promote enterprises to expand investment, but due to the lack of effective guidance, it turns into over-investment. After further distinguishing the nature of ownership between state-owned enterprises and non-state-owned enterprises, the phenomenon that government intervention affects enterprise investment is more obvious in state-owned enterprises, which is reflected in promoting over-investment and restraining under-investment. Therefore, government intervention will affect the investment efficiency of state-owned enterprises to a greater extent and make them develop in the direction of over-investment. This paper provides an overall perspective to explore the impact of government intervention on enterprise investment behaviour under the rapid economic growth.

Power cable is a piece of major transmission equipment, and its operating temperature as a major factor determines whether the cable system can operate safely and reliably and the current-carrying capacity. Therefore, it is of great significance to master the real-time temperature and the distribution of the power cable core. During the aging of cable insulation, temperature, as a major factor, directly determines the aging rate. One of the basic parameters on the power cable is the ampacity. If the ampacity is high, the cable will be overloaded. In this paper, the thermal circuit method is used to construct and calculate the cable, and the whale algorithm is used to estimate the temperature of the cable conductor. The conductor is estimated accurately within the allowable error range. The results are compared with the results of finite element simulation to verify the effectiveness of the finite element method. Through the experimental analysis, the model is established according to the cable trench on the spot. The steady-state temperature field is calculated through parameter setting. The average packet loss rate is 0.066 %, and the relative error is 0.32 %, which proves that this study can optimize the communication mode of the network and achieve a better monitoring effect. The method realizes the real-time temperature rise prediction of the cable core conductor by using the temperature rise of the outer skin. It can provide a certain theoretical basis for the online monitoring and engineering practical application of the cable core temperature and has practical significance.

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