A flexible sorting system for industrial intelligent robots based on machine vision has been designed, focusing on identifying and sorting plastic shell samples of remote controllers. The system uses a CMOS camera and adaptive lens, combined with a white light strip source, to ensure high-precision image capture. Through camera calibration and hand eye calibration, the robot has achieved precise positioning of the workpiece position. The system software design includes visual software settings and industrial robot software design, realizing the automation process of workpiece recognition, positioning, grasping, and placement. The results show that the system can efficiently and accurately complete sorting tasks, with high automation, intelligence, and flexibility.

Production optimization is a key component of closed-loop reservoir management, aimed at maximizing economic benefits by fully exploiting reservoir potential through the identification of optimal injection and production parameter schemes. The use of numerical simulators during the search for the optimal solution significantly increases time costs, making it challenging to rapidly determine the best scheme, despite its important engineering implications. An objective function for production optimization in waterflood reservoirs was constructed based on factors such as the reservoir numerical simulation model, optimized time steps, production and injection well control strategies, reservoir responses, and cost and profit parameters. Research was conducted on the method of using surrogate models to replace numerical simulators in production optimization, based on sampling criteria for the surrogate model. In order to address the lack of physical significance in surrogate models and the difficulty in achieving the same precision as numerical simulators during optimization, a relationship for an ensemble surrogate model was established. Validation results on two reservoir models, three-channel and Egg, show that the proposed ensemble surrogate model optimization method improves economic benefits by 4.81% and 4.75% respectively, compared to conventional optimization methods across all tested reservoir models. In order to verify the application effect of the proposed method in the actual oilfield field management scenario, the Bruges oilfield is taken as an example to carry out the test. The proposed integrated agent model optimization method can increase the economic benefit by 2.45% compared with the conventional optimization method. This proves that the proposed method can achieve satisfactory results in solving the problem of injection and production optimization in large-scale reservoirs.

To improve the reliability of security monitoring results and achieve intelligent monitoring of buildings, research and design of building security intelligent monitoring methods were carried out based on sensor data fusion and scale invariant feature transform(SIFT) feature matching. Cameras, infrared detectors, vibration sensors were installed, building security data was collected, weighted average method was introduced to fuse and compress preprocessed data with point cloud data. Color images was converted into grayscale images, key points (feature points) and corresponding descriptors were extracted, and automatic stitching of building security monitoring images was designed based on SIFT feature matching. In the spliced video frames, the inter frame difference method was used to identify moving targets, and a threshold was set to distinguish between foreground(moving targets) and background, achieving tracking and intelligent monitoring of video moving targets. The comparative experimental results show that the designed method has a good effect in practical applications. This method can accurately identify all characters appearing in the monitoring interface, meeting the requirements of intelligent monitoring for building security.

With the development of information technology, data has become a valuable asset. Conducting a comprehensive and objective evaluation of the value of data assets has become a current research hotspot. Taking Internet enterprises as the research object, after comparing data asset evaluation methods, the multi-period excess earnings model was selected to evaluate the value of data assets of Internet enterprises. Due to the deficiencies of the traditional model such as unclear contribution amount and difficult determination of the income period, ANP (analytic network process) was introduced for secondary differential division to effectively subdivide the income contribution amount of data assets. The Pearl curve was used to determine the income period. An improved multi-period excess earnings method-based data asset value evaluation model for Internet enterprises is proposed. The research results show that the improved model can effectively solve the problem of inaccurate evaluation and provide methodological support for the asset value evaluation of Internet enterprises.

Underground diaphragm wall has great advantages in the application of deep foundation pit support in the basement of high-rise buildings, subway stations and other projects. However, for the construction of underground diaphragm wall under the complex geological conditions of soft upper and hard lower strata and high groundwater level, as well as the complex environmental conditions such as high support rate into rock, near the construction and adjacent to the operation range of subway, there are some problems such as easy to collapse holes, low trough efficiency and high construction cost. Therefore, the construction technology of pile-diaphragm wall integration supporting the foundation pit was studied. By replacing this part of the deep ground connection wall embedded in the breezed rock layer with cast-in piles, the difficulty and workload of hard rock troughs are reduced, and the safety risks of adjacent buildings and subway operations are reduced.

In order to strengthen and toughen the functional refractory, carbon fibres were introduced as reinforcement in aluminium-carbon refractories in a new way using direct dispersion of the binding agent. The effects of different carbon fiber contents on the properties of aluminum-carbon refractories were studied. The changes of bulk density, apparent porosity, flexural strength at room temperature, compressive strength, thermal shock resistance and high-temperature flexural strength of the samples after high temperature treatment were compared and analyzed. Changes in the physical phase and morphology of the samples at different heat treatment temperatures were analyzed. The results show that after heat treatment at 1 100 ℃, the flexural strength at room temperature, compressive strength, residual flexural strength and high temperature flexural strength of the samples with carbon fiber were effectively improved compared with those without carbon fiber. Among them, the performance is optimal when the carbon fiber content is 0.1%. Well-developed silicon carbide whiskers were obtained from the carbon fiber samples heat-treated at 1 500 ℃ and bridged carbon fibres with the matrix as observed by SEM. This suggests that suitable carbon fibre-doped can make the sample obtain excellent high-temperature service performance will Under the dual reinforcement of carbon fiber and silicon carbide whiskers.

Based on China’s provincial panel data from 2012 to 2022, a provincial-level science and technology finance index system was established and an in-depth analysis of the influence mechanism of science and technology finance on the development of new-quality productive forces was conducted using two-way fixed effects model. The results show that science and technology finance has a significant promoting effect on the development of new-quality productive forces.The improvement of education levels and informatization levels can enhance the effect. Science and technology finance promotes the development of new-quality productive forces by increasing foreign investment and facilitating industrial structure upgrading. Science and technology finance exhibits heterogeneity in its impact on the development of new-quality productive forces in terms of regions, industrial structures, and degrees of openness.

Youth is the hope of the country, the future of the nation, young people are the source of national strategic talent strength. In order to provide reference for the research on the strategy of strengthening the country by talents, the development trend of the research on young talents in the academic circle was systematically grasped, the frontier hot spots of the research on young talents were sort out. With the help of visual literature analysis software CiteSpace, 319 Chinese Social Science Citation Index (CSSCI) journal papers on “young talents” collected by CNKI was analyzed, and the existing research results were visualized from the aspects of the number of publications, author cooperation network, research theme, development context and research hotspots. At the same time, the shortcomings of the research on young talents and the way to further promote it in the future are put forward. The analysis shows that the current hot spots of young talents research focus on young scientific and technological talents, young talents policy, young talents training and other fields. Future research on young talents needs to be combined with national development needs, combined with the theme of The Times, combined with the characteristics of young people, to do more in-depth and specific research.

China has entered the era of digital economy, and the demand of enterprises for digital technology skills is increasingly prominent.In order to better meet this demand, the Chinese government has formulated a series of digital technology skills training policies. the PMC(policy modeling consistency) index model of digital technology talent training policy in Beijing, Tianjin and Hebei was established, and the model was used to conduct quantitative evaluation of related policies.It is found that the training policies of digital technical talents in Beijing, Tianjin and Hebei are qualified and can play a certain role in the training of digital technical talents. Compared with excellence, there is still a distance. Finally, some suggestions are put forward to optimize the policy of digital technical talents in the Beijing-Tianjin-Hebei region.

Dynamic mechanism is an important direction, core and focus of building an important talent center and innovation highland in the world. The dynamic mechanism analysis framework of the world’s important talent centers and innovation highlands was conducted based on the push-pull theory, and reveals that the world’s important talent centers and innovation highlands are affected by three forces: push, pull and resistance. Based on the data of 40 countries from 2013 to 2021, the impact of population development on talent centers and innovation highlands was explored from the perspective of population. From the global perspective, the talent center and innovation highland show a trend of “strong west and weak east”, concentrated in North America and European countries, but the eastern countries began to rise, showing a trend of “rising east and falling west”. Population size will significantly positively affect the construction of the world’s important talent centers and innovation highlands. Population size has a significant positive impact on the construction of talent centers in high-income countries and the construction of innovation highlands in high-income countries. Population size has a significant negative impact on the construction of the world innovation highland in high-income countries. Finally, suggestions are put forward to give full play to the advantages of population, improve the overall quality of talents, gather international top talents and stimulate the vitality of talent innovation to promote the construction of China’s talent center and innovation highland.