Resource Reservation Research Articles

Bilateral Cooperation Between China and Peru Under the Belt and Road Initiative --From Strategic Layout to Future Prospects

In recent years, the bilateral relationship between China and Peru has developed rapidly, especially with the advancement of China’s Belt and Road Initiative (BRI), leading to significant progress in cooperation across areas such as economy, trade, and investment. As a major country in Latin America, Peru holds unique advantages in terms of its geopolitical location, resource reserves, and market potential, making it a key partner for China within the region. This paper explores the background of Sino-Peruvian relations, the advancement of the BRI in Latin America, and the strategic importance of Peru's Chancay Port project.

Construction of an Anode Material for Sodium-Ion Batteries with an Ultrastable Structure.

The reserves of sodium resources are much larger than those of lithium resources, and they are widely distributed and easy to produce and can be widely used in photovoltaic energy storage and other industries on the premise of this advantage. However, how to produce hard carbon anodes at a low cost for the preparation of energy storage materials requires continuous exploration and experimentation to find the optimal solution. Here, we used waste sour date shell biomass as a precursor for a hard carbon anode obtained by simple acid treatment and two pyrolyses. It is shown that acid washing after prepyrolysis has a significant effect on the electrochemical performance of the sour date shell-derived hard carbon (ZJ), constructing a stable structure that makes it easier for sodium ions to be embedded and dislodged, and the carbon particles are homogeneous and free of bonding and electrode cracking. The ZJ-1500-HCl pyrolyzed at 1500 °C has a high reversible capacity of 329.1 mAh g-1, 94.1% initial Coulombic efficiency (ICE), 90.54% capacity retention efficiency cycling 300 cycles at a current density of 300 mA g-1, and a resistivity below 10 Ω. It has good cycle stability and a good multiplier performance. It is expected to be used in practical production and photovoltaic energy storage in the future.

ESTIMATED VERSUS ACTUAL: VARIATION IN PATROL EFFORT AND ESTIMATES OF NUMBER OF SURVEYS NEEDED FOR EFFICIENT LAW ENFORCEMENT IN PROTECTED AREAS

Law enforcement is central to the objectives of managing Protected Areas for the benefit of resident species. The study sought to appraise park patrol performance against variables needed for monitoring of the species, according to the ideologies of occupancy modelling in the Kalakpa Resource Reserve (KRR), by estimating patrol effort and comparing to estimates of survey effort needed for a precise occupancy estimation. Patrol indices were obtained from ranger patrol data and used to estimate patrol effort for rangers in the KRR. The survey effort was estimated using the values provided by the occupancy analysis of key ungulate species in KRR, for all encountered ungulates treated as a single group and four species directly sighted/heard on patrols. Encounter rates were low for ungulate species during the study period. The number of species and illegal activities observed were significantly affected by the number of staff on patrol, duration of patrols, and distance patrolled. The patrolling camp had no significant effect on the observations of species and illegal activities. Patrol effort was 190 survey occasions, with the estimated survey effort ranging from 377 to 1068 survey occasions. The estimated survey effort was significantly higher than the patrol effort and necessitated an increase in the number of patrols per unit time to improve the protection of the species in the KRR.

Streaming and Elastic Traffic Service in 5G-Sliced Wireless Networks and Mutual Utilization of Guaranteed Resource Units

Researchers of 5G-sliced Wireless Networks are faced with the task of achieving, at the same time, (i) mandatory isolation among network slices and (ii) the effective utilization of resource at Fifth Generation Base Station (gNB). This article proposes the second version of the Preemption-based service Prioritization (PP2) scheme that merges the capabilities of the classical Resource Reservation (RR) and Service Prioritization (SP) schemes and realizes the coexistence of non-TCP streaming and TCP elastic traffic at gNB. Analytical methods are given for Dynamic Resource Sharing (DRS) and Dynamic Resource Reallocation (DRR) with data rate reduction and service preemption. As main results, under some baseline scenario, the PP2 scheme, in comparison with RR, does increase the admission probability up to 99.999% at the system while ensuring 100% in system capacity utilization.

Research on Monitoring the Speed of Glacier Terminus Movement Based on the Time-Series Interferometry of a Ground-Based Radar System

The Tibetan Plateau (TP) is the largest glacier reserve outside the Antarctic and Arctic regions. Climate warming has affected the reserve of freshwater resources and led to frequent glacier disasters. However, due to its extreme environment of hypoxia and low pressure, it is extremely difficult to obtain data. Compared with other traditional monitoring methods such as makers and satellite remote sensing technology, Ground-Based (GB) radar systems have the advantages of convenient carrying and installation, sub-second level sampling, and sub-millimeter measurement accuracy. They can be used as an effective way to study the short-term rapid movement changes in glaciers. Based on a self-built GB radar system, monitoring experiments were conducted on two glacier termini on the TP. The movement speed of the Rongbuk glacier terminus on Mount Qomolangma was obtained through time-series interferometric measurement as 4.10 cm/day. When the altitude was about 5200 m, the glacier movement speed was 7.74 cm/day, indicating the spatial differences with altitude changes. And in another region, the movement speed of the Yangbulake glacier terminus on Mount Muztag Ata was 198.96 cm/day, indicating significant changes in glacier movement. The cross-validation of Sentinel-1 data during the same period proved the effectiveness of GB radar system interferometry in measuring glacier movement speed and also provided field validation data for remote sensing inversion.

Research on Geothermal Geology and Heat-Forming Conditions in the Tangyuan Fault Depression

In order to gain an in-depth understanding of the geothermal geological characteristics and heat-forming conditions in the Tangyuan fault-depression area, this paper has carried out a series of detailed geological works, including geological surveys and geophysical explorations. Through these works, combined with the results of systematic drilling, sampling tests, and dynamic monitoring, we have studied, analyzed, and compared the relevant data to achieve a comprehensive understanding of the geological characteristics in the Tangyuan fault-depression area. During the research process, we preliminarily determined the stratigraphic structure and geological structure in this area and clarified the characteristics of the main geothermal reservoir and its burial conditions. These findings provide basic data support for our understanding of the formation and distribution of geothermal resources. At the same time, we have carried out a systematic analysis of the basic geothermal geological parameters, laying the foundation for the future calculation and evaluation of geothermal resource reserves. Through the collation and analysis of these research results, this paper not only provides a scientific basis for the development of geothermal resources in the Tangyuan fault-depression area but also provides specific references for future development prospect plans. This series of work will lay a solid foundation for further development and utilization of geothermal resources and promote the sustainable development of the regional economy.

Stochastic two-stage multi-objective unit commitment of distributed resource energy systems considering uncertainties and unit failures

Compared to centralized generation technology, distributed energy resource systems are susceptible to energy risks caused by boundary uncertainties and unit failures. This study introduces a stochastic two-stage multi-objective optimization method to address reliability-based unit commitment issues. In the day-ahead stage, operational state and reserve capacity are determined to minimize prescheduled operation costs based on forecasted parameters. In the real-time stage, a decision-dependent stochastic reliability method is proposed to simulate outage scenarios. Reserve resources within available units are allocated to mitigate forecasting errors and unit failures. Additionally, the grid interaction ratio and penalty cost are added to restrict the depth and frequency access to the grid. Four comparative cases analyze the effects of the proposed methodology. This method innovatively achieves the simulation of stochastic multi-unit outages and delete faulty units in the operation scheme. The optimal results show that the risks of electricity and cooling supply are underestimated, while the risks of heating are overestimated, compared to N-1 reliability. Furthermore, Pareto analysis of the multi-objective problem enhances independent operational capacity through utilization of reserve resources. Grid dispatch pressure is reduced since purchased power can be used as day-ahead planning. Thus, the methodology achieves collaborative optimization of reliability with a reduction of operation costs, offering effective guidance for engineering applications.

Improving fluid identification in well logging using Continuous Wavelet Transform and Vision Transformers: An innovative approach

Well logging fluid prediction is one of the key steps in assessing oil and gas reserves. By analyzing downhole logging data, different types of fluids contained in underground rocks, such as crude oil, natural gas, and water, can be determined. This information is crucial for assessing the abundance and recoverable reserves of oil and gas resources and helps guide oil and gas exploration and development work. We have introduced a novel model called CWT (Continuous Wavelet Transform)-ViT (Vision Transformer). CWT can simultaneously provide frequency information at different scales, enabling the model to analyze downhole logging data more comprehensively and accurately at different scales. Underground rock structures often exhibit features at multiple scales, and CWT can effectively capture these features, aiding in better differentiation of different types of fluids. The ViT model utilizes the Transformer architecture, allowing for global attention over input sequences without being limited by sequence length. This enables the model to comprehensively understand the overall information of downhole logging data and extract richer features. For complex geological structures and fluid distributions in geological exploration, the global attention mechanism helps the model better grasp the overall situation, thereby improving the accuracy of fluid prediction. When we used the CWT-ViT method for well logging fluid prediction, we achieved a high accuracy rate of 97.50% in the first dataset, which further improved to 97.77% in the second dataset. These results demonstrate the significant robustness and efficiency of the CWT-ViT method in lithology prediction using well logging data. We also conducted blind well experiments, and our CWT-ViT model outperformed other models, achieving a blind well prediction accuracy of 97.36%. Therefore, the experiments indicate that the key to improving accuracy in well logging fluid prediction with CWT lies in its multiscale analysis capability, effectively capturing different fluid characteristic frequencies. Additionally, CWT enhances signal features and removes noise, increasing the precision of fluid identification. Finally, the integration with ViT further optimizes fluid prediction performance, making it outstanding in complex geological environments. The advantages of ViT in fluid prediction include its excellent sequence modeling capability, effective handling of long-distance dependencies, and enhanced ability to capture fluid characteristics in complex well logging data.

Tuning Electrochemical Performance of Polymer Electrolyte Films through Metal Oxide Incorporation

AbstractWith the escalating global energy demand, the exploration of alternative, easily accessible, and cost‐effective energy sources has become imperative. The diminishing reserves of conventional energy resources underscore the urgency to transition towards renewable energy. Solid polymer electrolytes (SPEs) have gained prominence for energy storage electrochemical devices due to their high flexibility and favorable electrode–electrolyte interactions. This study focuses on synthesizing nano cuprous oxide (CuO) semiconductors via the precipitation method. The prepared CuO nanofiller is homogeneously dispersed into a polymer electrolyte solution. Utilizing the solution cast method, free‐standing polymer electrolyte films are fabricated, exhibiting commendable mechanical stability. Polyvinyl alcohol (PVA) serves as the host material, with potassium iodide (KI) salt, forming the basis for the polymer electrolyte. The resultant electrolyte films underwent comprehensive characterization for their electrical and optical properties. The investigation aims to identify the optimal composition of the electrolyte film with superior conductivity. The selected composition will be employed in the fabrication of various electrochemical devices, demonstrating the potential for enhanced energy storage applications. This work not only contributes to the synthesis of advanced solid polymer electrolyte films but also paves the way for the development of efficient and sustainable energy storage solutions in the realm of renewable energy technologies.

Agrotourism in Kazakhstan as a factor of economic empowerment of rural population

Nowadays agrotourism is one of the most important tools for improving the image of the village and its attractiveness for economically active population, an effective mechanism for spreading entrepreneurship in rural areas and increasing economic opportunities for rural residents by diversifying the activities of peasant (farmer) farms. Purpose - the concept of "agrotourism", factors constraining the development of the industry are considered, new approaches to expanding the range of tourism services in rural areas of Kazakhstan on the basis of the model "One Village - One Product" (OVOP) are studied. Methods - empirical for the purpose of data selection, observation and research of specific phenomena, establishing links between them; statistical, economic analysis, logical - to identify general trends or effects, use of international experience and generalization of results. Results - the authors note that rural tourism in the country is fragmented, there is no concept and system principles in the tourism sector, which are the key barriers to the development of tourism agribusiness in the country. Popularization of the OVOP movement in the regions of the Republic of Kazakhstan will contribute to the creation of new jobs, the growth of rural people's welfare. It is shown that the agritourism sector is one of the rapidly developing directions in modern tourism. In Kazakhstan there are potential reserves of its wide distribution, which allow to diversify the tourist product and create an additional item of income to the budget of the republic. Conclusions - agrarian tourism is an important segment of modernization of agrarian sector economy, promising innovative rural entrepreneurship. The development of tourism infrastructure in rural areas contributes to the diversification of rural economy, increasing employment and income of rural population, increasing the number of small business enterprises, the volume of production of environmentally friendly products of private subsidiary plots and farms, reducing the outflow of rural population to the cities. Agritourism industry has a large reserve of natural and human resources. However, the authors state that farmers need information and consulting support of tourist firms.

3D Geological Modeling and Metallogenic Prediction of Kamust Sandstone-Type Uranium Deposit in the Eastern Junggar Basin, NW China

Sandstone-type uranium deposits hold significant value and promise within China’s uranium resource portfolio, with the majority of these deposits found at the junctions of basins and mountains within Mesozoic and Cenozoic basins. The Kamust uranium mining area, located in the eastern part of the Junggar Basin, represents a significant recent discovery. Prior research on this deposit has been confined to two-dimensional analyses, which pose limitations for a comprehensive understanding of the deposit’s three-dimensional characteristics. To address the issue of uranium resource reserve expansion, this study employs 3D geological modeling and visualization techniques, guided by uranium deposit models and mineral prediction methods. First, a 3D model database of the Kamust uranium deposit was constructed, comprising drill holes, uranium ore bodies, ore-controlling structures, interlayer oxidation zones, and provenance areas. This model enables a transparent and visual representation of the spatial distribution of favorable mineralization horizons, structures, stratigraphy, and other predictive elements in the mining area. Second, based on the three-dimensional geological model, a mineral prediction model was established by summarizing the regional mineralization mechanisms, ore-controlling factors, and exploration indicators. Combined with big-data technology, this approach facilitated the quantitative analysis and extraction of ore-controlling factors, providing data support for the three-dimensional quantitative prediction of deep mineralization in the Kamust uranium deposit. Finally, using three-dimensional weights of evidence and three-dimensional information-quantity methods, comprehensive information analysis and quantitative prediction of deep mineralization were conducted. One prospective area was quantitatively delineated, located east of the Kalasay monocline, which has been well-validated in geological understanding. The research indicates that the area east of the Kalasay monocline in the Kamust mining district has significant exploration potential.

A new iron recovery and dephosphorization approach from unroasted high‐phosphorus oolitic hematite ore via a facile chemical beneficiation process

AbstractDespite the abundance of scientific reports on the treatment of oolitic hematite, it still constitutes a global challenge. The distinctive oolitic structure within the ore is regarded as the primary factor causing the difficulty in the beneficiation of oolitic hematite ore. The objective of this study is to devise an effective approach to tackle the issue of beneficiation of oolitic hematite ore, thereby facilitating the utilization of oolitic hematite ore, which is widely abundant worldwide. Based on the Pourbaix diagram (Eh‐pH) of the Al‐Si‐H2O system, an alkaline leaching process for eliminating impurities from unroasted oolitic hematite using NaOH solution as the leaching agent was proposed. The optimal parameters were determined as a temperature of 250°C, a NaOH concentration of 16 mol/L, a liquid‐to‐solid ratio of 4 mL/g, and a reaction time of approximately 2 h. Around 54% of phosphorus (P), 21% of Al2O3, and 61% of SiO2 can be preliminarily removed from unroasted oolitic hematite ore. Through further dephosphorization with dilute sulfuric acid at room temperature, a high‐quality Fe concentrate with 63.3% Fe, 0.04% P, and a Fe recovery rate of 96% was obtained. The alkali can be readily regenerated by adding lime to the leaching solution, and the regenerated alkali has a leaching effect comparable to that of the fresh leaching solution. The recycling and utilization of alkaline leaching agents minimize production costs to the greatest extent possible. Mechanical studies have discovered that intact oolites undergo complete dissociation under alkaline leaching, enabling the leaching solution to permeate into the particles and thereby deeply eliminate impurities. The novel method has accomplished efficient processing of oolitic hematite and a reasonable control of production costs during processing, which is significant for expanding the reserves of iron ore resources.

Evolutionary potential and direction of evolution

The article defines evolutionary potential as a reserve of resources (substrate, energy and information) of an evolving system and as something that can be «produced» by this system using available reserves under the influence of various factors. In relation to evolutionary processes, the evolutionary potential of the functioning (stability, tolerance) of the species and the evolutionary potential of its development are distinguished. From the point of view of the possibilities (potential) for a species to transition into a new form (new species), we should talk about pluripotent and unipotent (monopotent) species, which probably depends on the potential of the eco-niche occupied (or mastered) by the species. Polypotent species give rise to several species through divergence, and monopotent species are transformed into a new single species when the evolutionary branch does not split. The connection between evolutionary potential and evolutionary orientation is considered, which is proposed to be understood not only (and not so much) as the implementation of internal processes (mechanisms), but also as a consequence of the influence of external factors that adapt the organism “to itself.” The set of potential directions of variability may not contain the desired (adaptive) option. Attention is drawn to the fact that the element of chance to a certain extent neutralizes the nomogenetic character of evolution. On the other hand, the direction of evolution to a certain extent reduces evolutionary chaos, the success of which is most manifested in the cognitive evolution of Man.

Состояние здоровья подростков, находящихся под стражей, по данным 2019–2023 годов

The problem of the health of adolescents causes a special concern of the state, since they constitute a reserve of human resources in the socio-economic development of the country. The existing negative phenomena in a teenage environment, especially in people who are in custody, have an impact on their health. The study of the characteristics of the health status of adolescents in places of imprisonment will contribute to the development of recommendations aimed at maintaining their health, the possibility of their future adaptation in society. Objective. To study and summarize the health data of adolescents detained, and to identify the most characteristic of this group of children's population. Material and methods. This clinical observational non-finished cross-sectional study was conducted from November 2019 to November 2023 (5 full years) on the basis of the Temporary detention center of minor offenders of the Russian Ministry of Interior in the Khabarovsk Krai. 470 people have participated in the. Results. The detained adolescents had poor health indicators against the backdrop of a rooted unfavorable socio-economic situation: among children of the studied group, infectious diseases and parasitosis, mental disorders, trophic hypostature and protein- energy deficiency, the consequences of propmiscitable behavior and alcoholization, the lack of basic knowledge about about the consequences of the base and alcoholization were reliably more common. Self-and mutual assistance, hygiene standards, nutritional rules and a healthy lifestyle. Conclusions. An increase in investment for a regular comprehensive examination of all adolescents in custody, in combination with scientifically based treatment in places of imprisonment will help reduce the burden of preventive diseases among these young people and increase the possibility of their adaptation in society upon release.

Analysis of the physico-chemical relationship between losses of water, soil and soil nutrients in the water of the Farinha River – MA

Brazil has a vast reserve of water resources, but pollution from various sources and the effects of climate change have triggered a crisis in this sector. The as-sessment of water quality indices plays a crucial role in monitoring and unders-tanding this issue, and the country has established its own standards and moni-toring requirements to guarantee water quality. In addition, the physical-chemical relationship plays a fundamental role in the conservation of both soil and water. In this context, a study was carried out in the Farinha river basin, located in Maranhão, in the Cerrado biome, over an area of 55,338.12 hecta-res. Data was collected at ten different points along the river during the rainy and dry seasons. A Van Dorn bottle was used to collect water samples at vari-ous depths, which were analysed for pH, dissolved oxygen, electrical conducti-vity and temperature. Nutrients such as potassium, calcium, magnesium, sodi-um, silicon, nitrate and total phosphorus were quantified using filtration and spectroscopy techniques. The data obtained was tabulated and subjected to analysis of variance, with the means analysed using the Tukey test. This study reveals significant seasonal variations in the physico-chemical parameters of the water in the Farinha River in Maranhão, impacting aquatic life and water quality. This highlights the importance of continuous monitoring and manage-ment of these resources.

Investigation of Building Automation Systems in Terms of Lighting Efficiency

Considering that energy consumption is constantly increasing along with a gradual decrease in energy resource reserves, energy is the most current and pending issue in today's world. Several academic studies have been conducted on the efficient use of energy resources. For this purpose, the idea of "smart building" has been proposed to use energy more efficiently in buildings. With building automation systems, which are indispensable elements of these smart buildings, the energy consumption of buildings can be greatly reduced. In this study, the lighting efficiency of a building automation system built at a training point in the Marmara University Mehmet Genç campus, Vocational School of Technical Sciences, was examined. The Sauter Vision Center software program was used at the observation center of the system. The results were analyzed in terms of efficiency by comparing the energy values in certain time periods obtained from the program with the energy values calculated in full use. The analysis yielded a lighting efficiency value of 54%, which was found to exceed the values reported in the literature.

Intelligence Model based Routing with Channel Assignment in Multichannel Mobile Ad-Hoc Networks

Multiple wireless channels in MANET promise to enhance QoS, and their well-coordinated use can lead to major operational enhancements. For coordination & synchronization across numerous channels, existing approaches for developing multi-channels in mobile ad hoc networks (MANETs) employ a control channel-based technique. Offering QoS via resource reservation, routing, mobility management, & access/admission control has become the most important problems recently in MANETs. Nevertheless, due to obvious interference caused by mobility, several existing solutions fail to offer good QoS. This paper intends to introduce a novel routing and channel assignment in multichannel MANET. Here, the optimal routing is performed via selecting the cluster head under the certain constraints like Delay, distance, QoS, RSSI, and security. For this, (Chaotic Functions influenced spider monkey optimization) CFISMO algorithm is used. The assignment of channels as the scheduling policy is introduced through senders while it has packets to transmit. In this work, the channel assignment will be initiated via machine learning model that predicts the availability of the channels, which is based on the paths (channels) generated under the selected cluster head. Here, Optimized Neural Network (NN) will be used. Thus, the final output shows the paths (channel) to be assigned for data transmission. At the end, the performance of the adopted routing approach is evaluated over other traditional schemes based on various metrics like distance, PDR, delay, energy, alive nodes, QoS, security, and trust, respectively.

Uncovering Availability of the Secondary Iron Resources in China: Integrating Material Flow Analysis and Secondary Resources Reserve Assessment.

As the largest iron and steel producer, China still cannot meet its demand of iron and steel only through domestic primary supply in the last few decades. Hence, secondary iron resources are increasingly significant in meeting China's iron supply and demand balance. However, the secondary iron resource availability in China and how it impacts the future supply demand balance were still insufficiently discussed. In this work, we developed a material flow analysis and secondary resources reserve assessment (MFA-SRRA) integrated model, assessed secondary iron resources availability, and conducted a supply demand analysis through nine scenarios for irons in China. The results showed that China's secondary iron reserves will increase from 8.9 Gt in 2021 to 14.04 to 19.01 Gt in 2050. With the increasing secondary iron supply, more than 60% of iron ore as a source of steelmaking can be replaced by 2050. Landfills, as a significant reserve of iron but always ignored, will accumulate 1.42-1.51 Gt secondary iron resources by 2050 and should be noticed to be mined and utilized in the future. Last, we suggest that promoting innovation in landfill mining technology and making sustainable material management policies are urgent to prevent these secondary iron resources from becoming real waste.

Physics-data fusion for digital metering of gas-liquid two-phase flow in oil nozzles

Oil well production metering is an important basis for assessing resource reserves and production capacity. Existing metering methods require high investment and involve significant implementation difficulties and high computational costs. A new method of multiphase flow metering method was proposed by combining the fluctuation of pressure drop and temperature difference generated after throttling through the oil nozzle. The throttling equation coupling differential pressure, flow rate and gas fraction was derived. By regulating the gas and liquid superficial velocity, we carried out the experimental test for true nozzle aperture of 10 mm in the loop system, covering various flow patterns. In addition, the deep neural network was constructed for inversion prediction of mass gas fraction. The proposed flow metering equation has an adaptable gas mass fraction range of 0 to 100%, unaffected by the variations in flow patterns, gas-liquid velocities, and system pressure changes. The metering errors of gas mass fraction and mass flow rate is below ±10%. The proposed metering method only relies on the existing temperature and pressure measurement system in the gathering and transportation system, and no additional measuring devices are required. It can be widely used in oil filed production to realize the virtual metering.

Case Study on Obstacles and Implementation Paths of Shandong Energy's Green and Low-carbon Transformation

In the context of global climate change and environmental regulations, it is worth exploring in theory and practice how coal enterprises can achieve green and low-carbon transformation and maintain sustainable development. This article takes Shandong Energy in China as an example, analyzes the obstacles faced by Shandong Energy's green and low-carbon transformation, such as resource distribution, talent structure, industrial structure, and supporting policies. From the perspectives of mergers and acquisitions, industrial structure, resource reserves, intelligent mines, technological innovation, integration of industry and finance, and resource integration, it deeply analyzes and summarizes Shandong Energy's practical paths and beneficial experiences in green and low-carbon transformation and achieving sustainable development. The research results have been found that mergers and acquisitions, as well as resource integration, have broadened the temporal and spatial boundaries and opportunity set for the green and low-carbon transformation of coal enterprises; Technological innovation is the intrinsic driving force for the green and low-carbon transformation of coal enterprises, providing technical support for their sustainable development; Financial innovation provides fund support for the green and low-carbon transformation and sustainable development of coal enterprises. The research conclusions have important practical significance and theoretical marginal contributions, provides experience reference and theoretical guidance for the green and low-carbon transformation of the other coal industry enterprises.