In order to clearly quantify and evaluate the complex issues in the interior design of self-driving car, and improve design efficiency, extension is applied to the interior design of self-driving car, and the definition of interior design problems proposed for self-driving car methods, conjugate analysis, generating algorithm and constructing an evaluation index system for the interior design of unmanned vehicles. Taking the self-driving car interior design based on the 2030 90s parents, children and pet dogs traveling together in the suburbs as an example, through the self-driving car interior design scheme generation algorithm based on the extension theory, three effective designs of creativity are first obtained, and the designs expressed to make them concrete into a design plan, and a goodness evaluation finally performed to obtain the optimal plan. The design results verify the feasibility and effectiveness of the method.

Flow is a new concept in modern TRIZ theory, and flow analysis is a tool for systematic analysis of problems based on flow formation. However, formal research is insufficient and is difficult to be applied to intelligent design. Based on the elementary theory of extenics, a formal research on flow and flow analysis is conducted. It takes the material flow in the technical system as the research object, and uses elementary and composite elements to formally express the objects, behaviors, functions and other elements involved in the flow. Based on the structure and other elements, the extension flow model is established, and then the beneficial flow or the harmful flow is identified according to the flow analysis method. Finally, taking a company’s charging power supply production process defect as an example, the method is used to establish an extension flow model and identify the beneficial flow and the harmful flow. This research lays a good foundation for further obtaining extension knowledge research to improve defect flow.

In view of the relatively fixed general solution and standard solution of TRIZ substance field analysis in solving innovation problems, combined with the formalization and extension characteristics of element model, a substance field extension innovation method integrating element model and substance field analysis is proposed. Taking the general solution as an example, the basic element model and its extended analysis method of the substance field model and the general solution are established, the substance field extension solution process of the innovative problem is given, and the scope of the general solution to the problem is expanded. Finally, the forming element of oil-water annular flow is designed by using the material field extension innovation method. It proves that the material field extension innovation method is feasible to guide the product innovation design, and provides a reference for practical application.

With the development of society, the traditional residential building form has gradually failed to meet the needs of modern people’s life, which urgently needs to be updated and developed. At the same time, there are many practices in the transformation of traditional dwellings. However, there are also many problems in the transformation. For example, the innovation of architectural design is insufficient, the transformed buildings cannot be integrated into the regional architectural environment, and the traditional construction skills are missing, and so on. Therefore, traditional residential transformation strategy needs more rigorous generation process. The basic idea of Extenics is to use formal methods to deal with contradictions in various fields, which is very suitable as a tool for scientific analysis of contradictions and feasible strategies in the practice of residential transformation. Baoshui Village is taken as an example, the problem model established based on Extenics, the objectives and conditions analyzed, the contradiction solved through the extension transformation method, the strategy generated, and finally excellent standard evaluating method used to obtain the optimal strategy. The generation process of extension strategy for rural residential transformation is explored. On the one hand, it can provide a reference for the formalization of the practice process of rural residential transformation in the future, and on the other hand, it can make the culture of traditional rural residential continue and regenerate.

For the redesign of existing products, a process-oriented method combining functional structure model and extension theory is proposed. In order to reach the goal, this method is based on the knowledge base of functional ontology, the functional structure of existing products is built, the adverse affairs of products are expressed by affair element model, the causes of adverse affairs are inferred by implication system analysis of extension theory, and the problematic functions in product functional structure can be confirmed by the analysis results. After that, the problematic functional affair element model is created. Based on the reasons of adverse affairs, the extended analysis and extension transformation are carried out to obtain the improved new function, then the new function structureconstructed, and the redesign of the existing products completed. Finally, the feasibility of the method is verified through the redesign of a pineapple picker patent, which provides a new idea and an operable method for the redesign of existing products.

Extension creation method is an important product innovation method, but there may be some deficiencies in the development path. Th third creation method is taken as the research object, the evolution tree of TRIZ theory introduced as the route of primitive expansion, the evolution tree of primitive expansion constructed, and the product shortcomings of integrating system level and time enumerated, and the specific cases in the socket innovation given. The improved creation method has clear shortcomings of mining and factor expansion path, thus reducing the confusion when expanding and improving the efficiency of expansion.

An approach of intelligent fitting model of emotional modeling primitives is proposed to solve the limitations of the traditional product design methods that are difficult to carry out the overall design and the interference between the appearance design and the mechanical structure design. By using the principle of visual perception to analyze consumer needs, the principle of visual perception is determined as an effective way to connect perceptual psychology and modeling elements. Combining with extension theory, a method for generating modeling elements based on emotional images is given. Analyzing the influence of product mechanical structure on appearance modeling, and combining extension transformation ideas and parametric design software, a modeling fitting concept is proposed, a product modeling method system is constructed based on user emotional collaborative structural design, and new ideas for product modeling design provided. Finally, the feasibility of the method is verified through an example of trocar.

The marketing effect estimation is an important issue for precision marketing. Although the causal effect estimation has provided the research framework for this problem, the existing method mainly focuses on the coarse-grained causal effect estimation on a group of users. When dealing with the fine-grained evaluation problem on an individual user, the existing methods usually fail to solve the challenges raised by the user temporal feature modeling and high dimensional confounder selection. To address the above challenges, a fine-grained deep confounder balancing marketing effect estimation method is proposed. Firstly, a long and short memory network is introduced to model the users’ temporal features. Secondly, a neural network with multi-sparse-connected layers is devised to construct the confounders balancing weight network for both temporal and non-temporal features. Finally, the marketing effect is evaluated using the balancing weight learned in the previous stage.It shows that the time feature modeling and nearest neighbor matching ideas proposed in this paper can reduce the deviation of the effect estimation and improve the stability, it has reference significance for the optimization of marketing strategy.

A variational iteration method (VIM) for a class of fractional predator-prey model is studied. A pair equivalent coupled integro-differential equation to the model is obtained by means of integral transformation. According to variational theory, the Lagrange multiplier is calculated and the VIM scheme is constructed. Finally, a convergence analysis of the scheme is given and a numerical simulation is carried out.The results verify the feasibility and effectiveness of the method.

"The Belt and Road" has become an important driving force for the development of our country's foreign trade. As China's foreign trade has generally declined due to the impact of the epidemic, China's trade with "the Belt and Road" market has risen. As the largest trade province in the country in terms of total trade volume, Guangdong has less than a quarter of its total foreign trade volume with "the Belt and Road". It can be seen that countries along "the Belt and Road" still have great potential for Guangdong's foreign trade, and the trade potential needs to be released urgently. Based on the trade gravity model,15 representative countries along the route from 2008 to 2018 are selected, and the value of their trade potential with Guangdong is calculated. It is found that GDP, geographic distance, economic development gap, and foreign direct investment will all affect foreign trade flows to varying degrees. The results show that most countries still have a lot of room for trade development in Guangdong. Corresponding policy recommendations are put forward, including adjusting trade layout, improving trade policies, optimizing the transportation system, and increasing technology-oriented direct investment.

The general forms of pexider additive function equation, pexider exponential function equation, pexider logarithmic function equation and pexider power function equation are discussed, and the general solutions of these equations are given.

The dynamic characteristics of a three-dimensional(3D) flexible rotating beam is studied. Using the absolute node coordinate formulation and geometric nonlinear deformation hypothesis, the nonlinear dynamic model of 3D flexible beam is established based on the general continuum theory. Based on the perturbation theory and the floating-point coordinate method, the vibration frequency domain analysis model of the rotating flexible beam is established by using the linearization technique. Then, the time domain simulation of the free single pendulum of the flexible beam is carried out, and the frequency domain characteristics of the 3D flexible rotating beam at different speeds are analyzed. The results show that as the rotation speed increases, its dynamic stiffening phenomenon is obvious, and the frequency corresponding to the mode shape of the vertical rotation plane and the torsional and tensile modes will gradually be transformed into low-order frequencies, thereby affecting the vibration characteristics of the flexible beam.

The purification effect of selective catalyst reduction (SCR), exhaust gas recirculation (EGR), diesel particulate filter (DPF) and diesel oxidation catalyst (DOC) on nitrogen oxide (NO_x) and smoke of diesel vehicles was studied by short cycle lugdown. It was performed lugdown emission test of NO_x and smoke opacity for 116 heavy-duty diesel trucks in line with China V and China VI emission standards, equipped with the above exhaust purification technologies. It was compared the emission data of vehicles, the purification effect of the purification technology evaluated, the difference of emissionsbetween100%VelHPMax and 80%VelHPMax test condition analyzed. It is found that the purification effect of EGR and SCR integrated technology on NO_x is obviously better than single technology SCR or EGR, and the SCR is better than EGR. For vehicles equipped with EGR and SCR integrated technology and single technology SCR, the NO_x volume concentration is higher at 100% VelHPMax than 80% VelHPMax, while with single technology EGR is opposite. The smoke opacity value of diesel vehicles equipped with DOC and DPF integrated technology is significantly lower than single technology DOC. The smoke optical absorption coefficient of diesel vehicles inspected is higher at 100% VelHPMax than 80% VelHPMax. The results show that lugdown cycle test can distinguish effective the difference of purification effect of emission purification technologies of diesel vehicles.

Temperature slip exists in the phase transition process of the mixtures, which can better match the cold and heat sources, so as to improve the performance of organic Rankine cycle (ORC). Due to the large number and combination of mixtures, it is difficult to use conventional methods to select mixtures and optimize them synchronously with system parameters. A synchronous optimization model of three-stage screening and ORC system of mixtures based on the calculated physical properties of Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT) was established. The initial value model of gas-liquid equilibrium was predicted based on eXreme Gradient Boosting of machine learning. Genetic algorithm was used to realize the synchronous optimization of working fluid screening and system parameters. From the pure working fluid pool composed of 26 kinds of common working fluids, the suitable mixtures were selected according to the temperature slip and pressure, which effectively reduced the search range. The mixtures R12/Perfluoro-pentane and R40/R160 were obtained for net work and exergy efficiency, respectively. The optimization results of working fluid combination and ORC operation parameters under different heat source inlet temperatures and different targets were compared.

In order to investigate the effect of microbially induced calcium carbonate precipitation (MICP) surface treatment on the disintegration resistance and scour resistance of granite residual soils and its microscopic control mechanism, the granite residual soils were treated by spraying and subjected to disintegration resistance tests and scour resistance model tests, combined with microscopic testing techniques such as scanning electron microscopy and particle size analysis. The results showed that after the sprayed MICP surface treatment, the microfine particles of granite residual soil were cemented into larger size agglomerates, the microstructure of the specimens was more dense, and a continuous cemented hard shell layer of calcium carbonate and soil particles with good water stability was formed on the surface of the specimens, which effectively improved the disintegration resistance and scouring resistance of granite residual soil.The results of the study can provide a reliable basis for the reinforcement of granite residual soil slopes.

In order to reduce the adverse effects of large-scale use of fossil fuels on the environment, make full use of renewable resources, and improve the defects in the road performance of traditional petroleum asphalt, a kind of biomass asphalt with the advantages of renewable, large reserves and green environmental protection was introduced. In recent years, most of the domestic and foreign research focused on the preparation process and modification effect of bioasphalt. However, the reaction mechanism between biomass modifier and commonly used modifier in composite modification is still less, and the modification research and evaluation method of matrix asphalt need to be further explored. Therefore, the preparation process of biomass modified materials and bio-asphalt is reviewed, its modification effect analyzed, the modification effect of existing commonly used modifiers and biomass composite on asphalt compared, and finally the content of this paper summarized and condensed, the existing preparation process and modification effect summarized and evaluated, the problems existing in the research of bio-asphalt put forward, and the development trend of bio-asphalt prospected.

Engineered cementitious composite (ECC) is a new type of concrete material, which has the characteristics of strain hardening and multiple cracks. Its application in engineering practice can significantly improve the mechanical properties of structural members. The bond performance between steel bar and ECC is the basis of their joint work. Therefore,the influence of steel bar diameter, embedment length and cover depth of steel bar and ECC through central pull-out test are studied.The test results show that the change of bond length has different effects on the bonding performance of the two surface forms of steel bar. The specimens with different thickness of protective layer have different failure modes, and the ultimate bond stress will increase significantly with the increase of fiber content.

In the pipeline environment of the drinking water in the building, the long-term stagnation of warm water in the shower hose provides a growth environment for bacteria and pathogenic bacteria. To understand the risk of the regeneration of microorganisms in the shower hoses, a questionnaire survey was conducted on households with household shower facilities in South China by means of random sampling. A percentage analysis of residents’ shower habits, hose use habits, water quality and awareness of the risk of disease from shower hoses was made.A single-factor analysis of the pollution of shower hoses was carried out using variance analysis and correlation analysis. The results show that people in South China generally do not have good shower habits and hose use habits, and lack awareness of the accelerated aging or health risks of shower water quality to humans. Shower water temperature, water quality, shower habits and hose use habits directly affected the pollution of shower hoses. There was a positive correlation between shower water temperature and water quality and the pollution of shower hoses respectively, while shower frequency and hose replacement frequency had a negative correlation with the pollution of shower hoses. The results indicate that poor shower habits, hose use habits, water quality, and weak awareness of the disease risk of shower hoses create conditions for the regeneration of microorganisms in shower hoses and increase the risk of disease.

A uniform square shaped IrO₂@MnO₂ nanocomposite with a particle size of about 136 nm was prepared by the in-situ integration method. Results show that the nanocomposite has synergistically improved oxidase mimic activity, and its K_mvalue is 6.50 × 10^-3 mmol/L which is better than that of IrO₂ NPs (K_m = 9.73 × 10^-2 mmol/L) and MnO₂ NPs (K_m = 2.41 × 10^-1 mmol/L), respectively. In addition, the optimal sensing conditions of IrO₂@MnO₂ nanocomposite for AA detection are obtained through experiments, which include the reaction system at pH 4, the reaction temperature at 37 ℃, the reaction time at 5 min, and the concentration of IrO₂@MnO₂ nanocomposite at 71.43 μg/mL. Finally, the IrO₂@MnO₂ nanocomposite is used for sensitive detection of AA, the detection range is 0~312.5 μmol/L, thequantification limit is 14.2 μmol/L and the detection limit is 1.42 μmol/L.