Maintenance management plays a crucial role in ensuring the effective and efficient functioning of industrial machinery and equipment. A well-designed performance appraisal system can help organizations monitor and evaluate the performance of their maintenance management department, identify areas for improvement, and enhance productivity and development. This paper presents an overview of maintenance management performance appraisal as a tool for industrial productivity and development. It discusses the various types of performance appraisal systems available and highlights their benefits and limitations. The survey research design was adopted for the study and a sample size of 222 respondents was drawn from a population of 500 staff. The major instrument for data collection was a structured questionnaire administered to respondents using a random sampling technique. The result shows that there is a significant interrelationship between variables of maintenance management such as corrective, condition-based, and preventive maintenance and organization performance variable of effectiveness, efficiency, and profitability. The paper also provides guidelines for developing an effective performance appraisal system for maintenance management, including defining key performance indicators, setting targets, and conducting regular evaluations. Finally, the paper emphasizes the importance of integrating performance appraisal into the overall management strategy to ensure its success and effectiveness

The electronically controlled air suspension adjusts the height of the vehicle through air spring charging and discharging during the driving process, which can effectively improve the riding comfort of passengers and the driving safety of the vehicle. This paper deduces the mathematical model of the air spring based on the aerodynamic theory, builds the PID control model in Simulink, and compares it with the co-simulation model built by AMESim and Simulink to verify the accuracy of the mathematical model obtained. The results show that the mathematical model can accurately describe the height adjustment characteristics of the air spring in the process of charging and discharging, and the PID control model can effectively adjust the height of the body.

With the development of science and technology in the world today, the progress of intelligent control systems is advancing rapidly, and the automation level of various machinery is gradually becoming mature. Trailer docking technology refers to the technology of connecting trailers and trailers, which achieves the functional connection of trailers through docking technology. This paper proposes a trailer docking system based on monocular vision. When the trailer is far away from the tractor, the target detection model based on YOOv5 is used to detect the trailer. Then, the position parameters of the trailer are output through monocular ranging and the target is tracked using Kalman filter filtering algorithm. Finally, when the trailer is close to the tractor, the attitude detection of the interface between the trailer and the tractor is targeted, Using an AprilTag based detection model to detect the relative pose between the trailer interface and the tractor interface, the path is planned to achieve the docking of the two vehicles.

The charging and discharging performance of the electric vehicle power battery pack is closely related to the charge and discharge balance. The charging and discharging balance of the power battery pack is related to the power storage and power output performance of the power battery. The balance of charge and discharge of the power battery pack can also prevent the power battery from overcharging or over-discharging, and prolong the life of the power battery pack. This paper first analyzes the background and significance of the charging and discharging system of the power battery pack; secondly, the hardware circuit of each module is designed; then, the control strategy of the main control module of this paper is formulated

In recent years, the number of cars has increased sharply and traffic safety accidents have occurred frequently. The driver is the main factor leading to road traffic accidents, and the dangerous driving behavior of the driver is mainly affected by the traffic environment and the driver's individual emotions. So through the collection of face data on the simulated driver. The driver's face is detected and the facial expression is collected by using the Dilb algorithm, and the facial data is preprocessed by gray processing and other data. The expression data set is established by analyzing the data. Use convolution neural network and improve it according to its shortcomings to build a suitable convolution neural network model. The improved convolutional neural network model is trained with part of the data set, and the facial expression data features of the whole data set are extracted through the trained model, and the dangerous driving behaviors of drivers are effectively recognized with the good model. It can provide effective help to improve the safety of drivers.

In order to study the impact of an automatic mechanical transmission on the comprehensive performance of pure electric vehicles, a pure electric vehicle driven by a driving motor will be equipped with a two speed AMT and its parameters will be re matched. Using multi-objective optimization algorithms, the transmission ratio is optimized with the goal of minimizing acceleration time and driving energy consumption per 100 kilometers, and the power and economic shift patterns are established. Finally, the vehicle's power performance is analyzed using slope climbing and acceleration time.

In this article a comprehensive survey of the history of the Fundamental Theorem of Arithmetic which states that: Every positive integer greater than one can be expressed as a product of primes; this representation is unique, apart from the order in which the factors occur. and Wilson Theorem which states that If p is a number, then .(R-1)+1 @ 0 (m o d R)