To solve automated guided vehicle (AGV) dispatching problem in situations such as mutual interference between the operating equipment and transportation network complexity makes loading and unloading system more complicated. The changes of quay and yard crane operation sequence and operational efficiency, and the uncertainty of AGV operating time. Thus a shared online AGV dispatching strategy combining shared dispatching and online dispatching is introduced to solve AGV dispatching problem. A mathematical model is proposed to describe AGV dispatching problem. AGA is introduced to solve this problem. Experiment with different AGV amounts shows the validity of the proposed method. With a strong reference meaning to AGV dispatching decision making.

A monitoring system for transportation of material ropeway of transmission line is designed for the difficulty in fully understanding the construction process and component stress state of material ropeway of transmission line. Based on wireless ad hoc network technology, tension sensors, high-precision positioning modules, and ad hoc network devices are integrated to achieve real-time collection and transmission of monitoring data for material ropeway transportation, such as tension of carrying rope, load of steering pulley, load of running car, position of running car, speed of material transportation. By combining the refined calculation method of material ropeway, the tension of the working rope during the transportation process of the material ropeway is calculated, which is compared with the monitoring data, and the visual display of the monitoring data and image data of the material ropeway transportation is achieved to realize the real-time monitoring of the material ropeway transportation status during the construction process. Through verification tests in transmission line engineering, the effectiveness and accuracy of the monitoring system for transportation of material ropeway of transmission line have been verified, which provides technical support for the transportation safety during the construction of the material ropeway.

Aiming at the vibration response of vehicle-mounted precision equipment in a motorized environment, a new type of combined vibration isolator based on spring and rubber structure is proposed under the constraints of known equipment characteristics and vibration isolation performance requirements, and then a three-dimensional vibration isolation system of the vehicle-mounted precision equipment is designed by connecting the vibration isolators in parallel. In this paper, a three-dimensional model of the vibration isolation system is established, and the vibration isolation performance of the system in transverse, longitudinal and vertical directions is analyzed based on ABAQUS, and the three-direction rms acceleration attenuation rates are 0.82, 0.94, 0.93, respectively; meanwhile, the random vibration test results show that the three-direction rms acceleration attenuation rates are 0.88, 0.75, 0.87, respectively, which is within 10% of the simulation result, verifying that the three-direction rms acceleration attenuation rates are within 10% of the simulation results. are within 10%, which verifies the accuracy of the simulation results and meets the demand for vibration reduction of vehicle-mounted precision equipment.

In order to monitor the thermal expansion, dynamic effects and vibration of pipelines during thermal function tests in nuclear power plants, displacement sensors need to be installed on high-energy pipes and equipment. The sensor bracket is the most critical structure and bearing unit of the monitoring system, and the feasibility study has always been a hot issue. The temporary support designed and made of C-shaped steel (that is, the domestic alternative product of the famous American pipeline system support brand unistrut steel) is not only structurally firm, but also the support rooting method will not damage the infrastructure of the plant. The mechanical characteristics and functional principles of the temporary support are studied by theoretical analysis and numerical simulation, and the maximum deflection of the support rod under the tensile (compressive) working load and the failure conditions of the support are analyzed. The critical condition and the limit value of the bearing capacity of the temporary support reaching the steady state are obtained, and the above theory combined with numerical simulation is applied to engineering practice.

The fuel consumption meter measurement method and bench test are generally used to analyze the economy and power performance of vehicles, but the two measurement methods have high costs and complex structures. In response to this problem, back propagation (BP) neural network and regression model were selected to calculate and predict the economy and power performance of explosion-proof rubber tire vehicle diesel engines. Through comparison with experiments, the accuracy of BP neural network and regression model prediction was studied. The results show that the error between BP neural network and regression model is less than 5% when predicting fuel consumption rate and evaluating power performance, and both can be used to predict the economy and power performance of rubber tire vehicles.

Lightweight design is an effective way to improve the economic and environmental protection of static pile driver, as the key component of the static pile driver, the combined fixture is important for its lightweight design. To realize the combined fixture structure safety and lightweight design goal, a three-dimensional model is established by using solid works, and ANSYS Workbench is used to analyze and evaluate the equivalent stress of the whole structure and main components under the condition of pile pressing. Based on the results of analysis and evaluation, the topology optimization method of superposition replacement is adopted to carry out the structural optimization design, while meeting the needs of safety and engineering practice, its total quality is reduced by about 30%, and the economic and environmental benefits are obvious.

Aiming at the problem of motor failure caused by complex factors interacting and interfering during the operation of pure electric mining trucks, a method based on principal component analysis (PCA) and random forest (RF) is proposed for predictive diagnosis. A dataset is constructed based on the actual collected motor failures of electric mining trucks, and the eigenvalue extraction and dimensionality reduction of the failure data are carried out using principal component analysis to reduce the dimensional redundancy of the data; the random forest prediction model is used to train and test the dimensionality-reduced data, and to predict the motor failure categories. The results show that the accuracy of motor fault type diagnosis using PCA-RF method reaches more than 97%, which is significantly improved compared with the accuracy of the method without dimensionality reduction processing. The accuracy of the above method for motor fault diagnosis of electric mining trucks is confirmed.

In order to solve the problems of insufficient monitoring strength, poor interaction and low digitization degree during the operation of mobile crane, the construction method of digital twin system for real-time monitoring of crane operation status was proposed. A five-dimensional digital twin model is introduced to establish a digital twin framework for virtual and real control of cranes. Build a physical space from the service scene and physical entity; Establish virtual space from virtual model and visual scene and action control. Based on MySQL database, the twin database is constructed by using inherent, collected and virtual information. Virtual and real interaction, dynamic monitoring and visualization are realized in combination with communication protocols. Taking YDC20/30 light and small mobile crane as an example, the feasibility of this method is verified, and a new scheme is provided for comprehensively controlling the service process of the crane.

Based on the stress model of excavator working device, a pin dynamic load test method considering eccentric load and side load of excavator working device is proposed. According to the stress characteristics of the pin shaft at the articulated hole between the bucket and the stick, a pin shaft load test sensor is designed to measure the dynamic load in the horizontal, vertical and lateral directions at the articulated point, and measure the displacement of the three oil cylinders of the excavator at the same time. A dynamic test system for the pin load of the excavator working device was established. Taking the domestic 50 t excavator as the prototype and the stonework as the working material, the excavation simulation loading test was carried out. The results show that the proposed pin load test method can accurately obtain the three-dimensional dynamic load of the pin at the joint of the bucket and the bucket. The maximum load occurs in the excavation section. The lateral load is negligible compared with the normal load. The results of the study provide the basis for the structural load spectrum test and fatigue optimization design of excavator.

In order to explore the effects of maintenance difficulty degree of component on the maintenance cost and availability of the model. Taking a mechanical component of electric multiple unit (EMU) as the research object, and a component reliability threshold as the decision variable, the two-parameter Weibull distribution is adopted to describe the evolution law of component failure rate, combined with the existing fixed period multi-level imperfect maintenance rule of EMU in China, a preventive maintenance strategy for single component of EMU with bi-objective optimization is established. Bi-level imperfect maintenance is implemented in the maintenance mode and the concept of efficiency-cost ratio is introduced to discriminate the selection of each maintenance method of the component. Considering four factors, the difficulty of detecting parts, the location of parts, the difficulty of disassembling parts and the complexity of parts. Analytic hierarchy process (AHP) is adopted to quantify the maintenance difficulty degree and to study impact on the cost and availability of maintenance. The analysis shows that the maintenance model considering the maintenance difficulty can effectively reduce the maintenance cost and improve the availability, which provides a theoretical reference for the development of the maintenance strategy of EMU.