Bionic Principle Research Articles

Construction of Safety-Management Platform for Chemical Enterprises Based on the Immune System Model

Identifying risk factors and improving safety “immunity” is beneficial to chemical enterprises to reduce the occurrence of production accidents. In this paper, an immune system model has been built according to the bionics principle, and the corresponding antigen–antibody index system based on hidden dangers and treatment measures has been established, including 8 factor layers and 33 index layers. Then, the immune evaluation model of production safety was built using index weight, and an evaluation model of immune response ability for production safety was constructed based on grey system theory. Finally, aiming to identify immune deficiency through numerical analysis, a safety-management platform focused on people management, visual monitoring, and danger warning was constructed. The results verify the suitability of the immune correlation principle applied in chemical enterprises, which makes an instructive contribution to the construction of information management platforms for chemical enterprise safety production.

Working Performance of the Low-Adhesion and Anti-Slip Bionic Press Roller in the Rice–Wheat Rotation Area

During the working process of a conventional press roller in the rice–wheat rotation area, the phenomenon of soil adhesion and a large slip rate, which are directly related to the growth and the output of the wheat, occurred widely. It was found that the geometric structure of the back surface was one of the key reasons for Carabus formosus nili exhibiting low adhesion against the soil. In this paper, lessons are drawn from the non-smooth morphology theory and bionics principle. The bionic press rollers with bionically convex hull structures were designed after learning from the geometric structure of Carabus formosus nili, which modifies the geometric structure of the conventional press roller. The three-dimensional simulation model of a bionic press roller and soil was constructed in the ANSYS/LS-DYNA software(ANSYS, Canonsburg, PA, USA) to simulate the dynamic process of the interaction between the bionic roller and soil and to verify the rationality of the design of the bionic press roller. Based on the simulation of the interaction between the bionic press roller and the soil, the main factors affecting the bionic roller were determined: forward speed, load, and structural parameters. The field tests were carried out, and the orthogonal test was used to investigate the effects of forward speed, load, and structural parameters on the operation performance of the bionic press roller. Through the orthogonal test, the primary and secondary order of forward speed, load, and axial spacing were obtained. The optimal combination was: forward speed 7 km/h, load 400 N, and axial spacing 40 mm. This study provides a new idea and reference for the design of a press roller for wheat sowing in the rice–wheat rotation area.

Influence of Bionic Circular Groove Blade Surface on Wear Performance

In order to improve the anti-wear performance of a double-vane self-priming centrifugal pump during two-phase flow transfer, the construction of a streamline groove structure at the outlet end of the suction side of the vane, based on the bionic principle, is proposed. Different pump characteristics are analysed to investigate the effect of different bionic groove spacing on the resistance to particle wear and the mechanism of improvement of the bionic grooves. The results show that the effect of the bionic blades on the hydraulic characteristics of the pump is within the allowable error (±1.4%). The circular groove structure with different spacing produces a difference in the pressure distribution on the blade. At the same particle concentration, with the increase in the groove spacing distance, the average wear of the blades first decreases and then increases; the average wear rate at the spacing of 7 mm is the smallest. At a particle concentration of 90 kg/m3, the average wear rate at a groove spacing of 7 mm is ~0.63 × 10−4 kg/s∙m2, and the wear area is mainly found in the middle of the blade. The reason why the bionic blade improves the anti-wear performance of the pump is due to the reverse vortex zone in the groove, which changes the particle trajectory and collision frequency. The bionic grooves with a diameter of 2 mm and a spacing of 7 mm significantly reduce the average wear rate of the pump at different particle concentrations, while maintaining hydraulic performance.

Piezoelectric Effect of Antibacterial Biomimetic Hydrogel Promotes Osteochondral Defect Repair.

The lack of vascular tissue and the low metabolism and biological activity of mature chondrocytes lead to the low regeneration ability of articular cartilage. People try to solve this problem through various methods, but the effect is not very ideal. Inspired by the piezoelectric effect of collagen in cartilage tissue, this work focused on the design of a biomimetic hydrogel by introducing piezoelectric materials and silver nanowires into hydrogel to endow them with piezoelectric and antibacterial properties to promote tissue regeneration. Additionally, the mechanical and swelling properties of the material were adjusted to match natural articular cartilage. Based on bionic principles, a double-layer piezoelectric hydrogel was prepared and applied for the repair of osteochondral defects. An enhanced repair effect of osteochondral defects has been seen, which has demonstrated potential values for future application in bionics principle- and piezoelectric effect-based osteochondral tissue engineering. Furthermore, piezoelectric effect-induced degradation was observed. These results fully indicated the positive effect of the piezoelectric effect on promoting the regeneration of osteochondral tissue and in vivo degradation of materials.

Design of Cutting Blade of Agricultural Harvester Using Bionic Principle

Abstract: The practice of gathering a mature crop from the fields is known as harvesting. In most parts of the globe, automated combine harvesters are utilized to harvest crops. These autonomous harvesters are not appropriate for farmers with tiny plots of land, usually less than 2-3 acres. As a result, it is critical to create the tiny harvester, which is significantly less expensive and more accessible to small-scale farmers. Cutting blades for these tiny harvesters currently on the market have issues with high cutting resistance, high energy consumption, and poor cut quality. A bionic blade was designed by extracting the cutting teeth profile curve of the beetle palate using bionics concepts. The analysis of designed bionic blade was carried out using Ansys software. The result showed that the total deformation and stresses on bionic blade was less than the ordinary blade. Keywords: harvester, cutting blade, bionic, deformation, stresses

Effect of Bionic Nonsmooth Surface Vane on the Antiwear Characteristics of Double-Vane Pump.

In order to improve the antiwear characteristics of the double-vane self-priming pump, the surface structure of the Scapharca subcrenata was extracted and reconstructed according to bionic principles. Three types of nonsmooth surface models were established at the outlet end of the suction surface of the vanes, which is the most severely worn in the double-vane pump. The external characteristics, pressure field distribution, wear area distribution, and wear degree of the volute and vanes at different concentrations of nonsmooth vane structure were investigated by numerical simulation to reveal the mechanism of the nonsmooth surface structure of the wear characteristics of the vanes. The results show that the head and efficiency of pumps with four different vanes decrease and the average wear rate increases as the particle concentration increases. The different vane structures have a very small effect on the wear resistance of the volute, but a larger effect on vane wear. The circular nonsmooth surface structure, which reduces the low pressure area of the inlet section of the impeller while ensuring a smaller drop in head and efficiency, produces the best antiwear effect and improves the antiwear performance of the double-vane pump.

Recognition and Detection of Wide Field Bionic Compound Eye Target Based on Cloud Service Network.

In this paper, a multidisciplinary cross-fusion of bionics, robotics, computer vision, and cloud service networks was used as a research platform to study wide-field bionic compound eye target recognition and detection from multiple perspectives. The current research status of wide-field bionic compound-eye target recognition and detection was analyzed, and improvement directions were proposed. The surface microlens array arrangement was designed, and the spaced surface bionic compound eye design principle cloud service network model was established for the adopted spaced-type circumferential hierarchical microlens array arrangement. In order to realize the target localization of the compound eye system, the content of each step of the localization scheme was discussed in detail. The distribution of virtual spherical targets was designed by using the subdivision of the positive icosahedron to ensure the uniformity of the targets. The spot image was pre-processed to achieve spot segmentation. The energy symmetry-based spot center localization algorithm was explored and its localization effect was verified. A suitable spatial interpolation method was selected to establish the mapping relationship between target angle and spot coordinates. An experimental platform of wide-field bionic compound eye target recognition and detection system was acquired. A super-resolution reconstruction algorithm combining pixel rearrangement and an improved iterative inverse projection method was used for image processing. The model was trained and evaluated in terms of detection accuracy, leakage rate, time overhead, and other evaluation indexes, and the test results showed that the cloud service network-based wide-field bionic compound eye target recognition and detection performs well in terms of detection accuracy and leakage rate. Compared with the traditional algorithm, the correct rate of the algorithm was increased by 21.72%. Through the research of this paper, the wide-field bionic compound eye target recognition and detection and cloud service network were organically provide more technical support for the design of wide-field bionic compound eye target recognition and detection system.

Research related to the Appearance Design of Water Surface Cleaning Robot based on Bionics

This thesis analyzes five representative water cleaning robots selected from three countries and combines the top-down design process of bionics and the basic elements of product design to clarify the problematic points of existing water waste cleaning robots and propose a bionic design solution. The results of the analysis show that the shape design is not optimized according to the shape of the hull, and the environmental and aesthetic aspects are not satisfactory. By applying the three bionic principles of color, form and material to the appearance of the robot, a robot that meets the needs of cleaning small urban waters is designed and derived. This proposal is an optimized solution to solve the existing defects of the product and complete the solution that meets the modern market demand, aesthetic patterns, and production methods.

Organismic approach to developing a theory of adaptation of socio-economic systems

Aim.The presented study aims to lay the theoretical foundations of adaptation of socio-economic systems, taking as initial knowledge the principles and laws of evolution of living systems and the identified elements of isomorphism between the classes of systems under consideration.Tasks.The authors identify the signs of isomorphism of adaptive properties of biological and socio-economic systems; describe the evolution of methodologies used for their studies using an organismic approach within the framework of development of scientific rationality; substantiate and formulate the bionic principles of adaptation of systems based on a synthesis of the concept of cybernetics and the laws of evolution of biological systems; develop a typology of adaptation of socio-economic systems; propose a model of a robust management mechanism, which includes a certain set of adaptive regulators (homeostasis and homeostatic space) for all types of systemic adaptation.Methods.The development of insights into the adaptation of socio-economic systems on the basis of an organismic approach to its cognition as an analog of an organism with immanently inherent abilities to adapt makes it possible to define the concept of adaptation as "compensatory adaptation". Adaptation is considered as a property of systems that allows them to enter a certain stable state that ensures growth (quantitative changes), development (qualitative changes), and "mutation" (information changes and selection of reactions to exposure) at various stages of their life cycle. Bionic principles serve as initial knowledge for managing the adaptation process. According to the established scientific ideas about the adaptation of biological systems, the types of adaptation of socio-economic systems attributed to systemic adaptation are identified. The implementation of its processes is entrusted to a robust control mechanism equipped with an evolutionary computing system.Results.Additional signs of isomorphism between socio-economic and biological systems are identified. Within the framework of the evolution of scientific rationality, a transition towards an organizational approach to the study of the essence of organizations is proposed. The definition of adaptation of socio-economic systems as a special form of compensatory adaptation is proposed. The bionic principles of adaptation of socio-economic systems that define the elements and connections of the information structure of the robust control mechanism are formulated and verified. A typology of adaptation of socio-economic systems is proposed. The capabilities of the control mechanism for the implementation of all types of adaptation with a special focus on genetic adaptation are substantiated.Conclusion.Introduction of the concept of "adaptation" as a compensatory adjustment of socioeconomic systems to changes sets up system management to search for means of compensation at the expense of the result of adaptation costs. Verification of bionic principles and discovery of a new type for organizational systems — genetic adaptation — is a challenge to the application of robust management, the mechanism of which is equipped with genetic algorithms and other tools of evolutionary computing.

Slime-Groove Drag Reduction Characteristics and Mechanism of Marine Biomimetic Surface.

With the development of science and technology, energy consumption and demand continue to increase, and energy conservation and consumption reduction have become the primary issue facing the world. Improving the energy efficiency of ships not only helps reduce fuel consumption but also reduces carbon dioxide emissions, which is an important guarantee for the green development of the ocean and the maintenance of ecological balance. Through natural selection and adaptation to the environment after evolution, the body surface of organisms generates a variety of ways to resist adhesion and resistance of Marine organisms. Through the study of fish organisms, it is found that the body surface of general fish has mucus, which can effectively reduce the friction resistance of the body surface of fish subjected to seawater. In addition, the grooves on the body surface also help to reduce the resistance between swimming organisms and fluids. Based on the principle of bionics, the drag reduction characteristics and mechanism of fish surface mucus were analyzed. The drag reduction mechanism of bionic nonsmooth surface is analyzed from the aspect of body surface structure. On the basis of the two approaches, the characteristics and mechanism of slime and groove codrag reduction on the surface of Marine organisms were discussed in depth, so as to obtain a better new drag reduction method and provide reference for subsequent related research.

Adaptive Adjustment Strategy for Walking Characteristics of Single-Legged Exoskeleton Robots

In order to achieve the normal walking of hemiplegic patients, this paper proposes a single-legged exoskeleton robot according to the bionics principle, and presents an adaptive adjustment strategy for walking characteristics. The least square regression analysis is used to fit the angle data of healthy leg joints by cubic polynomials, and then the parametric design of the fitted curve is carried out to obtain the influence of the user’s stride frequency and stride length on the joint angle, so that the gait of the exoskeleton can be adjusted in real time according to the stride length and stride frequency of the healthy leg to realize normal walking. In order to verify the effectiveness of the adaptive adjustment strategy proposed in this paper, the angle of leg joints under normal gait is collected in advance. In addition, an adult male is chosen as the subject to walk on the horizontal ground wearing the single-legged exoskeleton as the experiment. The experimental results show that the designed exoskeleton is reasonable, and the adaptive adjustment strategy proposed in this paper can make the exoskeleton adapt well and follow the gait of healthy legs to achieve a more natural walking state.

The improvement of the lower limb exoskeletons on the gait of patients with spinal cord injury: A protocol for systematic review and meta-analysis.

Background:Spinal Cord Injury is a severely disabling disease. In the process of Spinal Cord Injury rehabilitation treatment, improving patients’ walking ability, improving their self-care ability, and enhancing patients’ self-esteem is an important aspect of their return to society, which can also reduce the cost of patients, so the rehabilitation of lower limbs is very important. The lower limb exoskeleton robot is a bionic robot designed according to the principles of robotics, mechanism, bionics, control theory, communication technology, and information processing technology, which can be worn on the lower limb of the human body and complete specific tasks under the user's control. The purpose of this study was to evaluate the effect of the lower limb exoskeleton on the improvement of gait function in patients with spinal cord injury.Methods:The following electronic databases will be searched from inception to January 2022: PubMed, the Cochrane Library, Embase, Scopus, EBSCO, Web of Science, China National Knowledge Infrastructure, WanFang Data, Weipu Electronics. In addition, reference lists of the included studies were manually searched to identify additional relevant studies. Randomized controlled trials were collected to examine the effect of lower limb exoskeletons on lower limb functional recovery in spinal cord injury patients. We will consider inclusion, select high-quality articles for data extraction and analysis, and summarize the intervention effect of lower limb exoskeletons on the upper limb function of spinal cord injury patients. Two reviewers will screen titles, abstracts, and full texts independently according to inclusion criteria; Data extraction and risk of bias assessment were performed in the included studies. We will use a hierarchy of recommended assessment, development, and assessment methods to assess the overall certainty of the evidence and report findings accordingly. Endnote X8 will be applied in selecting the study, Review Manager 5.3 will be applied in analyzing and synthesizing.Results:The results will provide evidence for judging whether lower limb exoskeletons are effective and safe in improving lower limb function in patients with spinal cord injury.Conclusion:Our study will provide reliable evidence for the effect of lower limb exoskeletons on the improvement of lower limb function in spinal cord injury patients.INPLASY registration number:INPLASY202180095.

Intelligent obstacle avoidance path planning method for picking manipulator combined with artificial potential field method

PurposeThe results of obstacle avoidance path planning for the manipulator using artificial potential field (APF) method contain a large number of path nodes, which reduce the efficiency of manipulators. This paper aims to propose a new intelligent obstacle avoidance path planning method for picking robot to improve the efficiency of manipulators.Design/methodology/approachTo improve the efficiency of the robot, this paper proposes a new intelligent obstacle avoidance path planning method for picking robot. In this method, we present a snake-tongue algorithm based on slope-type potential field and combine the snake-tongue algorithm with genetic algorithm (GA) and reinforcement learning (RL) to reduce the path length and the number of path nodes in the path planning results.FindingsSimulation experiments were conducted with tomato string picking manipulator. The results showed that the path length is reduced from 4.1 to 2.979 m, the number of nodes is reduced from 31 to 3 and the working time of the robot is reduced from 87.35 to 37.12 s, after APF method combined with GA and RL.Originality/valueThis paper proposes a new improved method of APF, and combines it with GA and RL. The experimental results show that the new intelligent obstacle avoidance path planning method proposed in this paper is beneficial to improve the efficiency of the robotic arm.Graphical abstractFigure 1 According to principles of bionics, we propose a new path search method, snake-tongue algorithm, based on a slope-type potential field. At the same time, we use genetic algorithm to strengthen the ability of the artificial potential field method for path searching, so that it can complete the path searching in a variety of complex obstacle distribution situations with shorter path searching results. Reinforcement learning is used to reduce the number of path nodes, which is good for improving the efficiency of robot work. The use of genetic algorithm and reinforcement learning lays the foundation for intelligent control.

Construction strategy of quantum air communication network of imitation goose swarm array

Quantum satellite communication is a research hotspot in the field of quantum communication, which has the characteristics of wide coverage, high communication efficiency and strong security. The construction strategy of the quantum communication network is an essential part of quantum communication. However, the construction strategy of quantum air communication network has not been studied yet so far. In this paper, according to the characteristics of flying goose array and principle of bionics, a simulated wild goose group Λ quantum air communication network topology is proposed, which can be divided into single-head node Λ type and multi-head node Λ type. Based on Greenberger-Horne-Zeilinger (GHZ) state particles, a certifiable QSDC inter-network communication system and a GHZ-EPR quantum teleportation communication system are established. The bit error rate, energy consumption, throughput, and other parameters are studied. After theoretical analysis and experimental measurement, for the single-head node Λ network structure in the environment where the average power spectral density of noise is 2 dB/m, when the communication distance between the head node and the child node is less than 400 m, the bit error rate is less than 0.094; if the communication distance increases from 400 m to 1000 m, the bit error rate increases rapidly, reaching 0.585; when the number of child nodes on one side increases from 2 to 7, the throughput decreases from 110.6 kb/s to 46.45 kb/s. For example, when the total number of nodes is 21, the single-head node Λ network structure saves 32.6% energy but reduces the throughput to 23.9 kb/s. By comparison, the multi-head node Λ network structure with 21 nodes saves 29.3% energy and achieves throughput of 163.4 kb/s. The above studies show that the quantum air network with the structure of imitation goose group array has good network scalability, excellent information security and flexible network structure.

The Structure of Associative Heterarchical Memory

Natural language processing by artificial intelligence (NLP) remains an urgent problem of our time. The main task of NLP is to create programs capable of processing and understanding natural languages. To solve these problems the authors have proposed a new mathematical formalism - the associative-heterarchical memory (AH-memory), which structure and functioning are based both on bionic principles and on the achievements of both paradigms of artificial intelligence. This article will provide a comprehensive description of AH-memory. The article will be of interest to developers of artificial intelligence and specialists in the field of NLP.

Development of a Cluster with Cloud Computing Based on Neural Networks With Deep Learning for Modeling Multidimensional Fields

Introduction. The modeling of multidimensional fields on multiprocessors, with a neural network architecture, which is rebuilt in the process of solving the problem by means of deep learning, is considered. This architecture of the calculator allows the device to be used to solve the problems of passive location, monitoring station, active LPI location station, base telecommunications station at the same time. Particular attention is paid to the use of bionic principles in the processing of multidimensional signals. A cluster computer with cloud computing is proposed for creating a modeling complex for processing multidimensional signals and debugging the target system. The cluster is made in the form of a multiprocessor based on neural network technology with deep learning. Biomimetic principles are used in the architecture of the modeling complex. The purpose of the work. Creation of a modeling complex as a cluster with cloud computing using neural networks with deep learning. The cluster is a neuromultiprocessor that is rebuilt in the process. Results. In the process, we managed to create a multiprocessor, which in the process of computing is rebuilt, to simulate a terahertz 3D Imager scanner using cloud computing. Conclusions. In the process of performing the work a complex for modeling multidimensional signals was created. As the basis of the computer used a cluster that is rebuilt in the process. The computing base consists of neural networks with cloud computing. Keywords: cognitive space, deep learning, convolutional neural network, neural network architectures, cluster.

An improved binocular localization method for apple based on fruit detection using deep learning

Apple picking robot is now being developed as an alternative to hand picking due to a great demand for labor during apple harvest season. Accurate detection and localization of target fruit is necessary for robotic apple picking. Detection accuracy has a great influence on localization results. Although current researches on detection and localization of apples using traditional image algorithms can obtain good results under laboratory conditions, it is difficult to accurately detect and locate objects in natural field with complex environments. With the rapid development of artificial intelligence, accuracy of apple detection based on deep learning has been significantly improved. Therefore, a deep learning-based method was developed to accurately detect and locate the position of fruit. For different localization methods, binocular localization is a widely used localization method for its bionic principle and lower equipment cost. Hence, this paper proposed an improved binocular localization method for apple based on fruit detection using deep learning. First, apples of binocular images were detected by Faster R-CNN. After that, a segmentation based on chromatic aberration and chromatic aberration ratio was applied to segment apple and background pixels in bounding box of detected fruit. Furthermore, template matching with parallel polar line constraint was used to match apples in left and right images. Finally, two feature points on apples were selected to directly calculate three dimensional coordinates of feature points with the binocular localization principle. In this study, Faster R-CNN achieved an AP of 88.12% with an average detection speed of 0.32 s for an image. Meanwhile, standard deviation and localization precision of depth of two feature points on each apple were calculated to evaluate localization. Results showed that the average standard deviation and the average localization precision of 76 groups of datasets were 0.51 cm and 99.64%, respectively. Results indicated that the proposed improved binocular localization method is promising for fruit localization.

Influence of varying distribution distance and angle on fatigue wear resistance of 40Cr alloy steel with laser bionic texture

Brake camshaft with 40Cr alloy steel plays a more and more important role in the brake system and its fatigue wear resistance (FWR) directly related to the safety of the trailer. Based on the bionic principle and laser surface texturing technology, this paper proposes a new laser bionic texture technology to enhance the fatigue wear resistance of 40Cr alloy steel manufactured with bionic texture in varying distribution distance and angle, forming the bionic anti-wear surface with “soft” - “hard” and “rigid” - “soft” phase. Then the bionic texture zone was observed to determine the microstructure, alteration of phase and micro-hardness. Wear test was applied to the untreated and bionic texture samples under the laboratorial conditions. Results indicated that all bionic texture samples demonstrated the beneficial effect on the fatigue behavior improvement owing to phase transformation and grain reinforcement. Furthermore, the FWR of 40Cr alloy steel reinforced with bionic texture distribution distance of 2 mm and angle of 45° was more effective than other samples. The wear enhancement mechanism of the bionic texture sample was discussed.

Creation of a comfortable environment in urban and rural settlements based on bionic principles

The article is devoted to the problems of creating comfortable living conditions for the inhabitants of rural and urban settlements. Architectural bionics is a branch of architecture in which great attention is paid to the study of the form and organization of natural objects and the design of building structures in a bionic style for residents of both rural and urban settlements. Currently, it is necessary to change the urban environment, taking into account all aspects of harmonious development and taking into account the natural features of the region. Many architects around the world are working in this direction. The use of modern materials makes it possible to create structures that are unique in shape and structure. Optimality in creating a comfortable human environment, taking into account the minimum impact on nature, is the task of designing structures.

A Review of Bioinspired Vibration Control Technology

Due to huge demand in engineering, vibration control technology and related studies have always been at the frontiers of research. Although traditional vibration control methods are stable and reliable, they have obvious shortcomings. Through evolution and natural selection, certain body-parts of animals in the natural world have been cleverly constructed and well designed. This provides a steady stream of inspiration for the design of vibration control equipment. The prime objective of this review is to highlight recent advances in the bionic design of vibration control devices. Current bionic vibration control devices were classified, and their bionic principles were briefly described. One kind was the bionic device based on the brain structure of the woodpecker, which is mostly used to reduce vibration at high frequencies. Another kind of bionic device was based on animal leg structure and showed outstanding performance in low frequency vibration reduction. Finally, we briefly listed the problems that need to be solved in current bionic vibration control technology and gave recommendations for future research direction.