In recent years, intelligent control technology has occupied an increasingly significant position in the field of modern engineering research. With the rise of artificial intelligence technology, it provides more possibilities for construction machinery to realize intelligent control. In the development process of intelligent technology, the control accuracy of construction machinery system is improved, industrial production is more reliable and safe, and the production efficiency of enterprises is improved. This paper starts from the content of intelligent control technology, introduces various intelligent control technology theories and methods, and discusses the application of intelligent control technology in various construction machinery according to intelligent technology methods. At the same time, the key problems and technical system of future construction machinery under intelligent control are analyzed and studied, which provides reference for the intelligent development of construction machinery control technology.

In order to improve the operating efficiency of excavator hydraulic system, a pump-driven valve-controlled load sensing system was designed. Pressure sensors are installed at the inlet and outlet of the multi-way valve respectively to perform real-time pressure feedback instead of the pressure compensation valve of the load sensitive system to achieve pressure compensation, and dynamically adjust the position of the main valve core and the swash plate swing angle of the electro-hydraulic proportional pump to drive the action of the hydraulic cylinder. The valve-controlled cylinder system in the pump drive valve control system is analyzed theoretically and the mathematical model is established. The experimental platform is designed with proportional valve test bench, BODAS controller and other electronic control and acquisition components, and the principle test of pump drive valve control is carried out, which verifies the correctness of the simulation model and pump drive valve control principle. The results show that when the system is in the pump drive valve control program, the output flow rate changes abruptly with the load change of step rise under different pressure differences. With the continuous increase of load pressure, the flow mutation becomes larger and larger, and the error between the output flow and the set flow also increases.

For the nut connection problems of narrow and deep cavity, invisibility, no access to traditional operating tools of aero-engine rotor, a new automation assembly method is advocated based on the image recognition and laser assisted positioning technology. The automated blind assembly torque device is developed with the functions of automatic folding of wrench head, accurate positioning, rapid nut recognizing, and electric loading, which can enter the narrow and deep operation space that is invisible to naked eye, to solve the low-level errors caused by artificial missing and wrong nuts, avoiding collision and damage on the inner wall of the shaft cavity. The device can carry out the compound tightening strategy with torque and angle to achieve the accurate automatic connection of engine rotor nut all the time, and the %GageR&R and %P/T of system precision are %22.21, %3.78 respectively through the test of automatic blind nut assembly, which will increase the accuracy and consistency on the large degree, which will lay the important foundation of the working stability and reliability of aero-engine farther.

In order to deal with the problems of single evaluation criteria and too subjective weight allocation in the evaluation scheme of module division, the evaluation criteria and calculation methods of module degree, module replaceable and module structural integrity of the product module division scheme were proposed. On this basis, multiple secondary evaluation indicators of module division were proposed to determine the weight allocation among evaluation criteria. The optimal and worst many criterion decision model in the distributed multiplicative preference environment is applied to determine the weight distribution of the relevant parameters in the method, and the will of all decision makers is comprehensively considered to make the final module division scheme more objective. Finally, the module division of the excavator working arm is used to verify the feasibility of the method.

It is also necessary to consider the impact damage, the loosening of components and the vibration of the structure caused by the impact load factors in the study of the vibration state of the equipment. In this paper, an impact load identification algorithm based on half cosine function is designed. The proper interval is determined by genetic algorithm, and the dimensions of beams, thin plates and trusses are determined by data method. The numerical simulation results show that the error of SCFF fitting method is lower than that of Tikhonov and Chebyshev orthogonal polynomial fitting (COPF), and the SCFF recognition advantage is more obvious with the increase of noise. The peak error of less than 10% is obtained, and the minimum value is reached under the parameter optimization, which indicates that the parameter optimization has good applicability. The test results show that the low-frequency vibration state of the cantilever beam caused by the impact load is inferred by analyzing the spectrum data of the response signal, and the correction of the model by the first four modes meets the feasibility requirements. When the SCFF method is used for identification, it can form a good agreement with the actual load and obtain a smaller peak error.

In order to solve the problem that the trajectory is not straight when piecewise polynomial interpolation method is used to plan the trajectory of excavator's linear operation in joint space, which leads to the inaccurate trajectory, this paper proposes a quintic polynomial interpolation method based on multidimensional trajectory to realize the accurate trajectory of excavator's linear operation. While using Matlab to draw the relevant images in motion, ikunc function is used to optimize the inverse solution of each point in the motion process, and joint Angle trajectory smoothing algorithm and particle swarm optimization algorithm are used to verify the minimum change of joint Angle in the optimal inverse solution of ikunc function. It is verified that the ikunc function is correct to obtain the minimum and best inverse solution of the joint Angle change, which indirectly achieves the energy optimal effect.

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.

The study examines wires in high-vibration zones of aircraft, where artificial damage was introduced to accelerate wear. Step-up-stress vibration testing was conducted to simulate accelerated aging and measure wire wear over a fixed period. Three surrogate models were developed using the wire diameter after artificial damage as the input and the experimentally obtained wire wear as the output. This established a nonlinear relationship between the initial artificial damage and the wear rate. The finite difference method was applied for time superposition to approximate the entire life cycle. Results indicate that the surrogate model using a back propagation neural network (BPNN) achieved the highest accuracy. Predicting lifespan through wear rate across the product's lifecycle can significantly reduce experimental costs. These findings provide theoretical and experimental guidance for future research on anti-wear technology and health management of aircraft wiring harnesses.

In order to explore the safety threat of slope deformation to transmission lines, taking the transmission tower-line system as the research object, the overall finite element model of the tower-line system considering soil-structure interaction (SSI) effect is established, and the rationality of the numerical analysis model is verified based on the field measured data. On this basis, considering the relationship between the slope deformation area and the spatial position of the tower and the influence of the slope deformation angle, the response law of the stress characteristics of the tower-line system to the slope deformation is explored. The results show that when the towers are located above, below and inside the slope deformation body respectively, the failure mode and deformation resistance of the upper tower line system are significantly different. And with the increase of slope deformation angle, compared with horizontal slope deformation, the anti-deformation ability of tower-line system will decrease by 25%-50%. When the tower is located outside the slope deformation body, the anti-deformation ability of tower-line system will decrease most seriously, with the decrease range of 33%-50%.

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.