In this study, multidimensional collaborative management of the modern environmental economy is proposed for strategic management, distribution management, service quality management, and warehouse management, which the modern environmental economy enterprises face under the internet-of-things environment. This study studies the law of multidimensional coordination of environmental economy and puts forward the classification of the modern multidimensional coordination of environmental economy. The multidimensional synergetic-order parameter equation of the modern environmental economic system is constructed, and the information synergy is the order parameter of the environmental economic system by accurate elimination method, and the fluctuation and balance of the environmental economic system are accurately controlled by the order parameter. By using structural equation modeling and other quantitative research methods, the corresponding planning and decision-making mathematical model is established, which provides relevant support for the realization of informatization and intelligentization of multidimensional collaborative management of the environment and economy. An incentive internal management collaboration model based on right of entry is proposed. Aiming at the problem of multidimensional environmental economic management coordination, a dynamic multidimensional environmental economic coordination management algorithm was designed by using the decomposition method, and the effectiveness of the algorithm was verified by numerical experiments.
The purpose of this study is to use a portable cardiopulmonary function tester to measure the effect of sports smart bracelets and smartphone application software in monitoring the energy consumption of different types of physical activities, and to select several popular sports software in daily life for research. The tester is an accurate reference value. It compares the energy consumption monitoring effect and error percentage of several software in periodic exercise and discusses the relationship between the measured value and reference value of several software, so as to provide a scientific basis for exercise for the majority of athletes. The selection of software provides a reference and chooses a more suitable movement method according to its own actual situation to achieve the most objective and effective periodic movement. In this study, the CMA (constant modulus algorithm) is introduced into the decision feedback equalizer, and the CMA-DFE (decision feedback equalization) algorithm is formed. Since the CMA algorithm adopts a fixed step size, there is no way to solve the contradiction between the convergence speed and the steady-state residual error, so a constant modulus algorithm with a variable step size is proposed. The algorithm increases the step size in its initial stage to increase the convergence speed and reduces the step size after the algorithm converges to reduce the steady-state residual error. This study replaces the traditional CMA algorithm with the constant modulus algorithm with a variable step size. In this section, two basic algorithms for calculating the adaptive weighting factor are first proposed. Due to its limitations, a modified adaptive weighting factor is proposed. During normal running, the Huawei Band relatively accurately monitors the number of steps and energy consumption, and the motion software of the motion software relatively accurately monitors the distance. The monitoring of distance and energy consumption is relatively accurate in the Codoon sports software; in jogging, the Huawei Band is relatively accurate in monitoring the number of steps; the LeDong sports software is relatively accurate in monitoring distance; and the Codoon sports software in the energy consumption is relatively accurate.
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