The conflict between socio-economic development and ecological protection is prominent, as the practice framework for territorial spatial planning rational layout function coordination of production–life–ecological (PLE) spaces are crucial achieving regional sustainable development. However, dynamic evolution PLE structure function, well driving mechanisms PLE, still understudied. Therefore, this study takes Ji-shaped bend Energy-Rich Area (ERA) Yellow River basin a case study, classifies...

The Nanjiang Yellow Goat (NJYG), Jintang Black (JTBG), and Jianzhou Da’er (JZDEG) are representative local goat breeds for meat production in Sichuan Province, China. This study conducted a comprehensive evaluation of the quality longissimus dorsi muscle three breeds. Variations were observed terms pH, color, ash fat content, water activity, fiber structure. Quantitative proteomics analysis was employed to identify biomarkers quality, revealing hundreds differentially expressed proteins...

Climbing manufacturing robots can create a revolutionary paradigm for large and complex components, while the motion control of climbing manipulation-oriented (CMo-Rs) is still challenging considering anti-slippage problems. In this study, CMo-R with full-scenery capability redundant load-bearing mobility designed based on magnetic adsorption. A four-wheel kinematic model slipping phenomenon established. An adaptive algorithm slip estimation using Lyapunov theory uncertain inclined planes....

As the sound signal of a machine contains abundant information and is easy to measure, acoustic-based monitoring or diagnosis systems exhibit obvious superiority, especially in some extreme conditions. However, directly collected from industrial field always polluted. In order eliminate noise components machinery sound, wavelet threshold denoising method optimized by an improved fruit fly optimization algorithm (WTD-IFOA) proposed this paper. The firstly decomposed transform (WT) obtain...

With the advantages of large working space, low cost and more flexibility, industrial robots have become an important carrier in intelligent manufacturing. Due to rigidity robotic milling systems, cutting vibrations are inevitable a significant impact on surface quality machining accuracy. To improve performance robot, posture optimization approach based dynamic response index is proposed, which combines posture-dependent characteristics with for milling. First, modal tests conducted at...

Autonomous tractor–trailer robots possess a broad spectrum of applications but pose significant challenges in control due to their nonlinear and underactuated dynamics. Unlike the tractor, motion trailer cannot be directly actuated, which often results deviation from intended path. In this study, we introduce novel method for generating following trajectories that circumvent obstacles, tailored robotic system constrained by multiple factors. Firstly, leveraging state information both...

Abstract The wall‐climbing robot is a growing trend for robotized intelligent manufacturing of large and complex components in shipbuilding, petrochemical, other industries, while several challenges remain to be solved, namely, low payload‐to‐weight ratio, poor surface adaptability, ineffective traversal maneuverability, especially on noncontinuous surfaces with internal corners (non‐CSIC). This paper designs high ratio wheeled which can travel non‐CSIC effectively payload capacity up 75 kg,...

In order to achieve more accurate and reliable identification of shearer cutting state, this paper employs the vibration rocker transmission part proposes a diagnosis method based on probabilistic neural network (PNN) fruit fly optimization algorithm (FOA). The original FOA is modified with multi-swarm strategy enhance search performance utilized optimize smoothing parameters PNN. signals are decomposed by ensemble empirical mode decomposition Kullback-Leibler divergence used choose several...

Conventional signal sampling requires that a must sample at least two times faster than the bandwidth to avoid losing information. But in recent years, an emerging theory of "compressive sensing" which shows it can capture and represent compressible rate below Nyquist rate, is possible reconstruct signals from far fewer data what usually considered necessary. So this paper, we presents new infrared face recognition approach combining compressive sensing PCA, gains measurements y via then...

As the conventional cutting pattern recognition methods for shearer are huge in size, have low reliability and an inconvenient contacting measurement method, a fast reliable coal-rock system is always baffling problem worldwide. However, rate has direct relation with outputs of coal mining safety quality staff. In this paper, novel identification method through acoustic signal proposed. The clustering by fuzzy C-means (FCM) hybrid optimization algorithm, combining fruit fly genetic algorithm...

To eliminate the noise of infrared thermal image without reference and model, an improved dual-tree complex wavelet transform (DTCWT), optimized by fruit-fly optimization algorithm (IFOA) bilateral filter (BF), is proposed in this paper. Firstly, noisy transformed DTCWT, variance threshold IFOA, which enhanced through a fly step range with inertia weight. Then, denoised will be re-processed using to improve denoising performance enhance edge information. In experiment, method applied both...

To remove image noise without considering the model, a dual-tree wavelet thresholding method (CDOA-DTDWT) is proposed through variance optimization. Instead of building approach using improved chaotic drosophila optimization algorithm (CDOA), to estimate variance, and estimated utilized modify coefficients in shrinkage function. verify ability CDOA, comparisons with basic DOA, GA, PSO VCS are performed as well. The tested addictive multiplicative noise, denoising results compared other...

Because of their low cost, large workspace, and high flexibility, industrial robots have recently received significant attention in large-scale part machining. However, due to the stiffness limitations robot joints links, are prone vibration during milling processes, which leads poor surface topography. In robotic it remains challenging simulate topography accurately. This paper presents a mathematical model combined with effects process parameters tool vibrations milling. this method,...

Research on artificial intelligence and robotics for the ecological protection restoration of waters has increased in importance with promotion national green sustainable development strategies. Autonomous Surface Vessel Water Cleanup (ASV) research not yet considered uncertainty water surface float positioning under complex current fluctuation factors. The result is that ASV low accuracy planning cleaning paths its efficiency cannot meet practical application requirements. To solve above...

The capability to navigate high-slope terrains is crucial for quadruped robots engaged in field operations. We propose a novel terrain estimation and adaptation strategy tailored facilitating robot locomotion on complex slope terrains. Our approach involves predicting slopes by analyzing foot positions IMU data, subsequently adjusting the robot's body orientation height real-time accommodate varying conditions. To effectively control motion of such challenging terrains, we introduce...