Practices
When looking at the maps of deposits of certain metals, patterns in their location are observed. Particularly striking is their location on one straight line - latitude, meridian, geodetic line. It is clear that on the globe, some of these "straight lines" will become curved and even sinusoidal. But it is possible that when observing mines plotted on the globe, some will be grouped in strip zones, which can be lineaments of various natures - including those depending on linear structures on the earth's core (or lithosphere base) several thousand km long. It is possible to enter geodetic (with automatic calculation of spherical) coordinates of mineral deposits around the world into a database. Then develop a program for determining the lines on which at least 3 of them lie, with subsequent identification of lines with their greatest clustering. This will allow using a new method of searching for deposits - lineament.
Applied in Huang3 Oilfield of Jiyuan Oilfield, Changqing Oilfield Branch. Preliminary production practice has shown that since the adjustment of the self injection production well network, the Huang-3 area has adopted a drainage injection production well network for CO2 oil displacement, which has increased the recovery rate by 0.005%, accumulated 18600 tons of oil production, and injected a total of 57800 tons of CO2; After local encryption, gas injection increased the recovery rate by nearly 0.02%, and the recovery rate in each well of the injection production device increased by 0.01%. The retention coefficient and burial capacity also increase accordingly. At present, scientific research achievements have been widely applied and achieved economic benefits, contributing to the development of CO2 oil recovery and CO2 storage in China to reduce CO2 emissions, generating good economic and social benefits. As of the end of 2023, Changqing Oilfield has conducted 65 injection production scale CCUS field tests in ultra-low permeability reservoirs in Huang3 and Huang138 areas of Jiyuan Oilfield, Zhuluo series low-permeability reservoirs in Huang436 area of Jiyuan Oilfield, and shale reservoirs in Longdongxi 233 area, achieving good application results. Among them, Huang3 District has doubled its production and is expected to increase its recovery rate by more than 15.1%. As of now, the economic benefits have increased by 1.0502 billion yuan.
Modern LED bulbs emit about 70% of the energy they consume as heat. Overheating leads to several negative consequences: - ✅ Reduced efficiency of the lamp; - ✅ Decreased light intensity; - ✅ Deterioration of the phosphor; - ✅ Lower voltage; - ✅ Changes in the color temperature of light sources. These issues necessitate an effective solution to enhance the performance and reliability of LEDs. Solution: The project "Development and Production of Heat-Dissipating Polymer Compounds" aims to create heat sinks made from heat-dissipating polymer composites (TPPCs) that can: - ✅ Optimize the cooling of LED bulbs and prevent overheating; - ✅ Improve the design for effective heat dissipation; - ✅ Utilize thermally conductive materials that provide high thermal conductivity (from 1 to 6 W/(m·K)). Benefits: Implementation of this project will bring several significant advantages: - 💡 Increased efficiency of bulbs; - 💡 Preservation of light intensity; - 💡 Extension of the lifespan of LED light sources; - Reduced energy consumption and savings on electricity bills. The project also includes the creation of granules of TPPC for use in LED cooling heat sinks. The team has already achieved considerable results, including the development of a prototype, market analysis, and receipt of testing requests from several companies. In the second phase, production of TPPC samples at a real scale is planned, along with independent laboratory testing and signing of letters of intent with potential partners. Team and Strategy: The startup team consists of professionals with experience in various fields, ensuring effective problem resolution. The business model includes partnerships with laboratories and companies for joint product development and manufacturing, focusing on attracting investment and scaling. The risks of the startup have been assessed and are under management. The team has developed a clear plan that involves collaboration with universities for prototype development, testing, and evaluation of product characteristics. Overall, the project demonstrates significant potential for successful development and market implementation.
The goal of the project is to save more than 9 million lives annually through a minimally invasive photon endoscope for the treatment of oncological diseases. The main objective is to create a device with technology that allows for cancer treatment while preserving healthy cells and the affected organ itself. The development of a photon endoscope for the treatment of oncological diseases has the potential for international scalability, opening new opportunities to assist cancer patients around the world.
There are many problems in the existing fire monitoring and early warning system, which mainly include: False alarms and false negatives: Traditional temperature and smoke detectors often have false alarms and false alarms, mainly because their sensitivity is not high and they are easily affected by environmental factors. Slow response time: Many detectors have a long response time, resulting in a faster spread of fire and increasing the hazard of fire. Poor environmental adaptability: Some detectors do not perform well in complex environments, making it difficult to accurately identify fires. Weak anti-interference ability: Some detectors are susceptible to interference from other light sources (such as visible light, infrared light, etc.), which reduces their accuracy and reliability. Counterfeit and shoddy products: There are a large number of substandard products on the market, which tend to have a short lifespan, lower standards, or even deliberately lower sensitivity to reduce false positives, but also reduce overall security. Implemented solutions In order to solve the above problems, the "Keen Eye" team has developed a new generation of intelligent fire monitoring and early warning system, which has the following characteristics: AlGaN ultraviolet flame detector: This detector is only sensitive to 350-400nm solar blind ultraviolet light, is not interfered with by other light sources, has a very low electronic affinity, excellent chemical stability and long service life. information is mention in the Presentation, slide
Carriers are losing revenue equal to hundreds of thousands of dollars from the operation of transport (15-20% of current volumes). The reason is the lack of accurate objective data analysis of passenger traffic. Tracktice.Flow - the most precise tool for optimizing the route network and a technical opportunity to increase control over the profitability of urban and suburban transport
Through the Green Legacy Initiative by Prime Minister Abiy Ahmed, Ethiopia has planted over 32 billion seedlings. This initiative aims to combat deforestation, restore degraded landscapes, increase the country's forest cover, and ensure food security. Despite various afforestation and tree-planting initiatives declared at different times by the Ethiopian government, the effectiveness and impact of these efforts on vegetation cover are not well known (Takele et al., 2022). Many of the tree planting sites were not georeferenced until July 2023, when the Prime Minister initiated a georeferenced tree planting scheme. However, this scheme has faced numerous challenges. The collected data came in different formats, languages, and reference systems, creating significant problems for data processing and visualization. Additionally, there is no unified data collection system; some data are collected using GPS, while others use open-source methods. There is also no national repository for managing the collected data, making it difficult for people to access it. Furthermore, monitoring the survival rate of the planted trees often relies on manual methods, which are prone to bias, less cost-effective, and challenging to manage across the entire country. To address these issues, we have developed a project titled "Integrating GIS, RS, and IT for Managing the Ethiopian Green Legacy Initiative." The project comprises three components: data collection, system development, and monitoring. 1. Data Collection: We are customizing an open-source mobile app called QField. This app is offline-capable, inexpensive, equipped with built-in GPS, user-friendly, multifunctional, and features advanced mapping tools. Using this mobile app will help integrate data, maintain data quality, and make data easily accessible and shareable. 2. System Development: We are building a system that includes an interactive map, user registration/login, field data upload and download capabilities, visualization, and data management features. 3. Monitoring: We will monitor the survival rate of the planted seedlings using satellite imagery, specifically NICFI satellite imagery. Overall, our solution addresses the challenges faced by the Ethiopian Green Legacy Initiative and helps Ethiopia achieve its targets.
This project aims to address two core issues in the field of construction waste treatment: efficient crushing and resource utilization. By combining the discrete element method (DEM) and object detection algorithm for optimization and improvement, the project has designed an innovative construction waste crushing device, achieving efficient crushing and intelligent precise sorting of construction waste.
At present, most undergraduate and vocational colleges have majors related to new energy vehicle technology. Undergraduate colleges focus on cultivating talents in the research and development of new energy vehicles, while vocational and secondary vocational colleges focus on cultivating technical and skilled talents in the manufacturing and maintenance of new energy vehicles. In terms of talent cultivation, most universities use advanced new energy vehicle teaching instruments for teaching, such as battery teaching equipment, motor teaching demonstration equipment, electronic control teaching demonstration equipment, etc. The existing teaching equipment for new energy vehicles either adopts whole vehicle teaching, which is not conducive to students' observation, learning and practical operation. Either a single device can be used, which has relatively simple functions. To achieve a complete set of teaching functions, multiple sets of devices need to be purchased to meet teaching needs. In response to this, this project proposes a multifunctional integrated new energy vehicle teaching platform, which integrates teaching of new energy vehicle batteries, motors, high-voltage distribution boxes, charging and discharging, motors, and electronic control. It can meet the teaching needs of each module and the overall teaching, connect knowledge, and make it easier for students to receive new energy vehicle knowledge.
The international market for the production, distribution, and supply of digital content has always been a fundamental need among BRICS countries. The secure, convenient sale of photos, videos, audio, music, and text using the currencies of BRICS member countries is the central focus of our project. Based on this need, we have developed this technological joint market designed to aggregate and sell digital content from BRICS member countries. This project is a national and multinational initiative where all BRICS member countries can play a role.
In the current conditions of accelerated growth in the level of economic, geopolitical and civilizational uncertainty, the relevance of new methods of making collective decisions is of particular importance. Online discussion tools such as mail, forums, instant messengers and conference calls are not convenient for creating a decision-making infrastructure. The implemented solution is: Platform integrator OBRAZ.RUS for discussion and decision-making on the IT platform using swarm intelligence, multi-valued logic and AI; Formation of a pool of possible solutions by participants and provision of a complete decision-making ecosystem; Controlled mathematical model for evaluating the selected solution, application of methods and approaches of fuzzy mathematics.
Scientists and businessmen use English when communicating with their foreign colleagues. But the common people of the East and South (especially Russians, Chinese, Iranians, Latin Americans) know it poorly. To enhance the interaction of these peoples (primarily ordinary people), it is convenient to use an easy-to-learn and use artificial language like Esperanto - with simple and complete grammatical and word-formation paradigms without exception. Since Esperanto was created for Europe, its vocabulary and mechanisms are based on Indo-European (primarily Romance, Slavic and Germanic) and Finno-Ugric languages. But the BRICS countries require a model language based on the vocabulary of the state and intertribal languages of the majority of its population, belonging to the Indo-European, Sino-Tibetan, Semitic, Bantu and South Amerindian language families. To this end, I propose developing an intermediary language based on the systematic unification of fragments of vocabulary, phonetics and grammar of these languages.
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