Ecological-Based Mining:A Coal-Water-Thermal Collaborative Paradigm in Ecologically Fragile Areas in Western China

A substantial reduction in groundwater level,exacerbated by coal mining activities,is intensifying water scarcity in western China’s ecologically fragile coal mining areas.China’s national strategic goal of achieving a carbon peak and carbon neutrality has made eco-friendly mining that prioritizes the protection and efficient use of water resources essential.Based on the resource characteristics of mine water and heat hazards,an intensive coal-water-thermal collaborative co-mining paradigm for the duration of the mining process is proposed.An integrated system for the production,supply,and storage of mining companion resources is achieved through technologies such as roof water inrush prevention and control,hydrothermal quality improvement,and deep-injection geological storage.An active preventive and control system achieved by adjusting the mining technology and a passive system centered on multiobjective drainage and grouting treatment are suggested,in accordance with the original geological characteristics and dynamic process of water inrush.By implementing advanced multi-objective drainage,specifically designed to address the“skylight-type”water inrush mode in the Yulin mining area of Shaanxi Province,a substantial reduction of 50%in water drillings and inflow was achieved,leading to stabilized water conditions that effectively ensure subsequent safe coal mining.An integrated-energy complementary model that incorporates the clean production concept of heat utilization is also proposed.The findings indicate a potential saving of 8419 t of standard coal by using water and air heat as an alternative heating source for the Xiaojihan coalmine,resulting in an impressive energy conservation of 50.2%and a notable 24.2%reduction in carbon emissions.The ultra-deep sustained water injection of 100 m^(3)·h^(-1)in a single well would not rupture the formation or cause water leakage,and 7.87×10^(5)t of mine water could be effectively stored in the Liujiagou Formation,presenting a viable method for mine-water management in the Ordos Basin and providing insights for green and low-carbon mining.

Energy-Saving Distributed Flexible Job Shop Scheduling Optimization with Dual Resource Constraints Based on Integrated Q-Learning Multi-Objective Grey Wolf Optimizer

The distributed flexible job shop scheduling problem(DFJSP)has attracted great attention with the growth of the global manufacturing industry.General DFJSP research only considers machine constraints and ignores worker constraints.As one critical factor of production,effective utilization of worker resources can increase productivity.Meanwhile,energy consumption is a growing concern due to the increasingly serious environmental issues.Therefore,the distributed flexible job shop scheduling problem with dual resource constraints(DFJSP-DRC)for minimizing makespan and total energy consumption is studied in this paper.To solve the problem,we present a multi-objective mathematical model for DFJSP-DRC and propose a Q-learning-based multi-objective grey wolf optimizer(Q-MOGWO).In Q-MOGWO,high-quality initial solutions are generated by a hybrid initialization strategy,and an improved active decoding strategy is designed to obtain the scheduling schemes.To further enhance the local search capability and expand the solution space,two wolf predation strategies and three critical factory neighborhood structures based on Q-learning are proposed.These strategies and structures enable Q-MOGWO to explore the solution space more efficiently and thus find better Pareto solutions.The effectiveness of Q-MOGWO in addressing DFJSP-DRC is verified through comparison with four algorithms using 45 instances.The results reveal that Q-MOGWO outperforms comparison algorithms in terms of solution quality.

Research on Optimization of Dual-Resource Batch Scheduling in Flexible Job Shop

With the rapid development of intelligent manufacturing and the changes in market demand,the current manufacturing industry presents the characteristics of multi-varieties,small batches,customization,and a short production cycle,with the whole production process having certain flexibility.In this paper,a mathematical model is established with the minimum production cycle as the optimization objective for the dual-resource batch scheduling of the flexible job shop,and an improved nested optimization algorithm is designed to solve the problem.The outer layer batch optimization problem is solved by the improved simulated annealing algorithm.The inner double resource scheduling problem is solved by the improved adaptive genetic algorithm,the double coding scheme,and the decoding scheme of Automated Guided Vehicle(AGV)scheduling based on the scheduling rules.The time consumption of collision-free paths is solved with the path planning algorithm which uses the Dijkstra algorithm based on a time window.Finally,the effectiveness of the algorithm is verified by actual cases,and the influence of AGV with different configurations on workshop production efficiency is analyzed.

Dual-resource integrated scheduling method of AGV and machine in intelligent manufacturing job shop

In view of the fact that traditional job shop scheduling only considers a single factor, which affects the effect of resource allocation, the dual-resource integrated scheduling problem between AGV and machine in intelligent manufacturing job shop environment was studied. The dual-resource integrated scheduling model of AGV and machine was established by comprehensively considering constraints of machines, workpieces and AGVs. The bidirectional single path fixed guidance system based on topological map was determined, and the AGV transportation task model was defined. The improved A* path optimization algorithm was used to determine the optimal path, and the path conflict elimination mechanism was described. The improved NSGA-Ⅱ algorithm was used to determine the machining workpiece sequence, and the competition mechanism was introduced to allocate AGV transportation tasks. The proposed model and method were verified by a workshop production example, the results showed that the dual resource integrated scheduling strategy of AGV and machine is effective.

The Dual Model for Tourism Resource Productivity Improvement

For natural resource science, resource productivity studying is an important subject. But researches on tourism resource productivity are limited. The most significant influencing factor on tourism resource productivity is the potential market scale of tourist locations, and second most important influencing factor is the resource endowment. Regional urban population is significantly correlated with region tourist numbers, being the decisive factor of region potential tour market scale. In tourism development, the dual model should be adopted: on one hand to enhance tour spot attractiveness, on the other hand to cultivate the potential market by improving urbanization level and other means. In the situation of tourism development fever spreading, the dual model for improving tourism productivity helps to avoid the "Great Leap Forward" which means that too rapid tourism construction divorces from actual market demand.

Theoretical discussion and framework design of natural resources balance sheet preparation: Based on double standard goal management

"Decision-making usefulness" and "entrusted performance" are not only the goals to be achieved by natural assets statistics, but also the requirements for the state to implement the resignation of leading cadres for auditing and environmental compensation. After the 18th National Congress was convened, the integration of natural resources and the audit of departing cadres further promoted the development of natural resource balance sheet research. Based on the related theories of the development of natural resource assets, this paper starts with its composition, bases its resources on value-added information transmission, and ecological restoration, combines China's unique natural resources, and discusses the basis for the preparation of China's natural resources balance sheet based on dual objectives, goals and framework design. While investigating the report on natural resources, the new concept of natural assets and liabilities emphasizes the relative independence of assets, namely: economic value and potential ecological benefits; past and contingent liabilities, i.e., due to excessive resources Direct losses brought about by mining and potential ecological costs, remediation costs, and repair costs. Finally, referring to SEEA2012 and combining with the specific conditions of China's natural resources, we will discuss not only the physical measurement but also the value measurement for its framework design, constituent elements, and reporting methods.

96份谷子种质资源淀粉多样性及优异资源鉴选利用

采用双波长微量法对国内有代表性的96份谷子种质资源的直链淀粉和支链淀粉含量进行了测定,分析其淀粉多样性与直/支比变异类型。结果表明,各品种直链淀粉含量介于0~24.91%,平均值为15.66%,支链淀粉含量介于4.77%~34.26%,平均值为14.67%;44份育成品种和52份地方品种直链淀粉含量变化幅度分别为8.66%~21.81%和0~24.91%;96份谷子的直/支比变化范围为0~3.60,平均为1.18,其中直/支比<0.05的地方品种仅2个,而直/支比>0.33的品种93个,占总数的96.87%。直链淀粉含量小于3.5%的糯性品种3个,其中完全糯性品种2个;高直链淀粉品种4个,直链淀粉含量介于12.0%~18.0%的种质有60份,占总数的62.50%。筛选出适合加工糍粑、汤圆类糯质食品的地方品种3个,为红毛谷、三爪谷和酒谷;可用于加工米粉等高膳食纤维的地方品种4个,分别为金皇谷、金棒子、茄谷和山西白米。96份谷子种质资源中地方品种直链淀粉变异类型较为丰富,育成品种直链淀粉遗传基础相对单一。

用户资源创新能力、创业模式与创业绩效关系研究——基于众创空间的双重网络嵌入的调节作用

资源对用户开展创业活动至关重要,但对用户创业者资源创新能力影响创业模式选择以及关于创业绩效理论机制的探讨较少。通过构建不同资源创新能力、创业模式与创新绩效之间的匹配关系模型,对221家嵌入众创空间的用户创业企业进行实证研究。结果发现:①资源获取创新能力有助于用户创业者选择协同型创业模式并促进生存绩效提升;②资源利用创新能力有助于用户创业者选择自主型创业模式并促进成长绩效提升;③创业模式在资源创新能力对创业绩效影响中发挥部分中介作用;④众创空间双重网络嵌入对资源创新能力与创业模式关系以及创业模式与创业绩效关系发挥正向调节作用。

基于电气自动化的灌溉水电双控系统设计

针对我国灌溉系统水资源利用率较低的问题,基于电气自动化对灌溉水电双控系统进行了设计。灌溉水电双控系统主要组成包括控制模块、信息采集模块、收费管理模块、执行模块和通信模块。为了实现节水灌溉,提升水利用率,在管理方面对控制系统软件进行设计,在技术方面对控制系统算法进行设计。为了验证灌溉系统的性能,对系统进行了数据计量准确性试验和节水灌溉运行试验。试验结果表明:系统可以准确地测量用电量和用水量,且可自动启动节水灌溉。

我国采供血机构双轨用工的问题与对策研究

目的 探析采供血机构双轨用工的问题,为优化人力资源管理提供对策建议。方法 运用专用调查表,对全国229家采供血机构进行调研,统计编制与非编制人员的数量、流动量等信息,并使用T检验进行差异性分析。结果 全国采供血机构普遍存在编制配比变动迟滞、人员新进量存在差异、自因型人员流失量差异明显、薪酬管理体系复杂且多样化的问题。结论 加强对双轨用工所带来的管理复杂性的认识,规划人员编制标准的动态机制,创新编制内外人员管理,优化人员配置结构。

改进文化基因算法求解双资源约束柔性作业车间调度问题

针对具有机器和工人的双资源约束柔性作业车间调度问题,以最小化最大完工时间为目标构建调度模型,并设计一种改进文化基因算法对其进行求解。由于该调度问题需要同时考虑工序排序、机器选择及工人选择3个子问题,故采用三层序列编码。考虑传统解码方式存在收敛速度慢、收敛不完全的弊端,设计一种扩展型插入式主动解码方式,以提高算法的收敛速度;针对进化算法易陷入局部最优的缺陷,设计一种基于负载平衡的机器和工人再分配算子,增强算法的全局搜索能力,对种群中的优秀个体采用改进变邻域搜索以提高算法的局部寻优能力。最后,利用仿真算例及航空设备生产实例进行实验,验证所提算法求解双资源约束调度问题的有效性。

机场安检排队系统资源优化配置

机场安检作为航班离港的重要环节,降低安检区运营成本和减少旅客等待时间是非常必要的。针对安检排队系统中的瓶颈问题,提出优化布局的思想,并利用安检排队系统中现有的资源,根据资源优化思想,以深圳宝安国际机场为例,建立安检排队系统双目标优化模型。通过NSGA-Ⅱ算法,获得资源配置方案的Pareto最优解集,然后使用逼近理想解排序法(technique for order preferency by similarity to an ideal solution,TOPSIS),对Pareto最优解集进行排序,得出综合效益最优的配置方案:Ⅰ级系统开放通道数为17个,Ⅱ级系统开放通道数为35个。结果表明,该研究方法消除了运营成本和等待时间量纲间的差异,为存在博弈的优化目标提供了解决思路。

论生态环境损害赔偿制度的法理基础与规范构造

理解生态环境损害赔偿制度,须从环境治理体系和治理能力现代化的整体视域展开,同时,还要厘清生态环境与自然资源、生态环境损害与损害赔偿、赔偿请求权与赔偿诉权等核心概念。既有理论将自然资源国家所有权作为生态环境损害赔偿中的实体权利基础,然而,不论是公权说、私权说,还是二阶结构说、三层结构说,都不周延。因为生态环境损害赔偿制度存在二元构造,即赔偿请求权区别于赔偿诉权,赔偿请求权中基于自然资源所有权的物上请求权区别于侵害生态环境的侵权之债请求权,赔偿诉权中程序意义上的提起生态环境损害赔偿诉讼区别于实体意义上的救济自然资源所有权。这种二元构造客观上源于生态环境中单体自然资源的结构面向与整体生态功能的功能面向存在区分,其学理基础在于承继和发展了传统所有权的解释范式,其核心内容是对生态环境类的损害进行类型化。为此,该制度可从两个方面予以展开。长期而言,须仰仗制定中的生态环境法典规定生态环境损害赔偿的系列内容;当务之急,则是借助司法解释促进这些内容的适度法制化。

基于算力-能量全分布式在线共享的5G网络负荷管理策略

5G与边缘计算等信息基础设施海量部署造成运营商用电成本上升,需推动边缘网络与电网的能量互动以节能降本。现有研究重点关注边缘网络参与日前经济调度,未考虑可再生能源和网络流量双重随机性造成的网络能量供需不平衡问题。针对强随机环境下的网络负荷管理问题,提出面向虚拟化边缘网络的能量实时管理策略。首先,以网络用能成本最小化为目标,构建联合网络资源管理、储能充放电与能量共享模型。其次,针对未来网络信息未知无法直接求解的问题,提出基于随机对偶次梯度法的在线管理策略。然后,针对资源共享涉及运营商隐私问题,提出全分布式的计算资源与能量协同共享算法。最后,仿真验证表明,所提在线算法在无需先验知识的前提下有效减少了5G边缘网络的用能成本。

双元创新驱动的中小企业人力资源共享服务模式研究

新发展理念是实现我国经济高质量发展的指导思想,中小企业作为国民经济和社会发展的重要力量,其管理模式的创新和发展至关重要。为了促进中小企业人力资源共享服务模式转变,文章采用文献分析法和系统分析法,分析中小企业人力资源管理转型过程中存在的问题,基于双元创新驱动角度对中小企业人力资源共享服务模式转变给出建议,有效解决中小企业在人力资源共享服务模式转型中存在的问题,为我国中小企业共享发展提供助力。

碳交易下分布式双资源柔性作业车间节能调度

在碳交易政策的背景下,企业需统筹考虑效率和环境因素,以实现企业效益最大化。文章研究了考虑机器和工人的分布式双资源柔性作业车间节能调度问题和方案,以最短完工时间、最小能耗和碳交易成本为目标,建立了混合整数规划模型。依据此问题多资源约束的特点,研究设计了一种改进麻雀搜索算法,嵌入了“工厂—工序—机器&工人”三层编码的主动解码策略,提高了资源利用率。为了扩大搜索空间,在算法中引入了6种局部搜索策略,通过2、3、4个工厂共30组算例,将改进的麻雀搜索算法与其他3种算法进行对比。实验结果表明,改进的麻雀搜索算法优于其他对比的算法,对比结果验证了此改进算法的有效性。

市场型村干部助推乡村产业振兴——基于H村和Q村的双案例比较研究

乡村振兴战略下,产业兴旺是核心,是有效解决“三农”问题的“一剂良方”。文章以L市H村和Q村为研究对象,采用双案例比较研究方法,在全面呈现两个村庄产业发展历程和现状的基础上,探析市场型村干部对乡村产业振兴的作用。经研究发现:市场型村干部能够整合内外资源、做好利益联结与分配、培养“一懂两爱”人才队伍,更好助力乡村产业振兴;村干部市场经营能力越弱,乡村产业发展越差;村干部市场经营能力越强,乡村产业则发展越好。因此,培养市场型村干部是乡村产业振兴的重要抓手。

能源变革与生态福利绩效研究——基于新能源示范城市设立的准自然实验

能源变革是推动能源结构绿色转型的关键,新能源示范城市政策是能源变革的重要举措,也是推动城市生态文明建设发展的有力支撑。本文基于2007~2021年我国279个城市的面板数据,通过倾向得分匹配-双重差分模型(PSM-DID)探究新能源示范城市政策对生态福利绩效的影响。研究发现:新能源示范城市的设立有助于提升城市生态福利绩效。新能源示范城市政策对城市生态福利绩效的影响在东西部城市、行政等级高的城市和非资源型城市更为显著。机制检验表明新能源示范城市主要通过优化产业结构、提升技术创新水平和降低资源依赖度3种途径提升城市生态福利绩效,为政府有效实施城市能源建设并提升城市生态福利绩效提供积极的政策启示。

“双碳”背景下的清洁能源资源——钍

放射性元素钍(Th)有较广泛的工业用途,含钍核燃料清洁且高效,在“双碳”背景下得到了越来越多的关注。然而,世界范围内钍资源的分布、生产和消费却极不均衡,因此亟需在资源-经济-环境系统中对钍资源分布格局和特征进行分析研究,建立全面认识。通过梳理钍资源的勘查开发、生产加工及消费贸易数据,对中国和全球钍资源类型、分布、供需和消费形势展开分析,明确钍在资源-经济-环境系统中的流动特征,并对资源发展规划提出建议。研究表明,全球钍资源丰富却分布不均,主要以砂矿类型集中于印度、巴西等少数国家,而中国钍矿资源以碳酸岩型和碱性岩型为主,资源丰富但缺少准确的勘查数据;钍主要来自于砂矿型独居石的采选和冶炼,工艺成熟,近10年全球钍产量呈波动上涨趋势;根据钍的流向分析,钍金属及其化合物主要应用于能源、材料、冶金、医学等领域,而钍的环境排放集中于矿石采选过程。鉴于钍核燃料的发展潜力,未来钍产量上升空间较大,能源领域的应用将更加广泛。中国优势钍矿床类型有别于其他国家,且亟需系统全面的资源调查工作,在“双碳”目标要求下,开展钍提取工艺技术的创新与推广,合理规划发展钍基核电技术,具有重大的环境和经济意义。

考虑双资源约束的柔性机械加工车间逆调度问题研究

为提高机械加工车间在动态生产环境下的效率和稳定性,建立了考虑机器与工人约束的柔性机械加工车间逆调度问题模型。该模型以最小化完工时间、机器能耗和逆偏差指数为目标,通过调整工件排产、工人作业以及机加工工艺参数对原始调度方案进行优化。针对问题特征,提出了一种差分进化算法。在算法中,设计了混合双层编码方式以降低搜索难度;提出了两种基于调度规则的初始化方式以提高种群质量;为加强和平衡全局与局部搜索,设计了自适应遗传操作以及基于精英选择的局部搜索策略;改进了哈明距离,并提出了一种拥挤度算子以反映种群真实多样性。在实验中构建了33组测试算例,并将所提算法与其他7种算法进行对比,验证了所提算法性能。最后,分析了某液压缸生产车间在两种不同动态环境下的真实逆调度案例,结果表明,所提算法能够在较小程度改变原始调度的情况下缩短4.2%的完工时间、降低20.2%的机器能耗。