Safety diagnosis on coal mine production system based on fuzzy logic inference

According to the randomness and uncertainty of information in the safety diagnosis of coal mine production system (CMPS), a novel safety diagnosis method was proposed by applying fuzzy logic inference method, which consists of safety diagnosis fuzzifier, defuzzifier, fuzzy rules base and inference engine. Through the safety diagnosis on coal mine roadway rail transportation system, the result shows that the unsafe probability is about 0.5 influenced by no speed reduction and over quick turnout on roadway, which is the most possible reason leading to the accident of roadway rail transportation system.

Coal mine safety production forewarning based on improved BP neural network

Firstly, the early warning index system of coal mine safety production was given from four aspects as per- sonnel, environment, equipment and management. Then, improvement measures which are additional momentum method, adaptive learning rate, particle swarm optimization algorithm, variable weight method and asynchronous learning factor, are used to optimize BP neural network models. Further, the models are applied to a comparative study on coal mine safety warning instance. Results show that the identification precision of MPSO-BP network model is higher than GBP and PSO-BP model, and MPSO- BP model can not only effectively reduce the possibility of the network falling into a local minimum point, but also has fast convergence and high precision, which will provide the scientific basis for the forewarnin~ management of coal mine safetv production.

Study on cooperative development of safety and production in coal mines

Based on cooperative theories and analysis of characters of safety and production in coal mines, discussed the relationship and function of cooperative development between safety and production and established a basic cooperative development model. At the same time, a systemic expatiation of the basic principle, the core conception and the contents of the model was given. In the end, the guarantee measures for realization were proposed. The result of the research may have some leading meaning to ensure safety and production in coal enterprises and to achieve synchronous exaltation of production efficiency and the safety degree.

The safety parameters monitoring system for the coal mine based on CAN bus communication and intelligent data acquisition

In this paper,a monitoring and controlling system for the safety in production and environmental parameters of a small and medium-sized coal mine has been developed after analyzing the current domestic coal production and security conditions. The client computer can convert the analog signal about the safety in production and environmental parameters detected from the monitoring terminal into digital signal,and then,send the signal to the coal mine safety monitoring centre. This information can be analyzed,judged,and diagnosed by the monitoring-management-controlling software for helping the manager and technical workers to control the actual underground production and security situations. The system has many advantages including high reliability,better performance of real-time monitoring,faster data communicating and good practicability,and it can effectively prevent the occurrence of safety incidents in coal mines.

On the mechanism of coal mine safety monitor based on game analysis

Analyzed the monitor results under current systems concerning game and then pointed out that a way-out to improve chinese coal mine production safety control is to implement system innovation and punish the monitor＇s lazy behaviors strictly.

Mn_(0.2)Cd_(0.8)S@CoAl LDH S-型异质结构建及其光催化析氢性能研究

构建高效、稳定的异质结光催化剂体系是实现太阳能驱动分解水制氢的有效途径。本研究通过物理混合法将Mn_(0.2)Cd_(0.8)S纳米棒与CoAl LDH纳米片进行耦合,成功制备出一种新型的Mn_(0.2)Cd_(0.8)S@CoAl LDH(MCCA)S型异质结光催化剂。光致发光光谱和光电流测试结果表明,该异质结在内建电场的作用下可以有效地加快Mn_(0.2)Cd_(0.8)S和CoAl LDH界面间光生载流子的分离和电子转移。关键的是,CoAl LDH的引入有效地抑制了光生电子与空穴的复合,从而提高了Mn_(0.2)Cd_(0.8)S的光催化产氢活性。最佳CoAl LDH负载量的MCCA-3在5 h内的产氢量为1177.9μmol。与单独使用纯Mn_(0.2)Cd_(0.8)S纳米棒和CoAl LDH纳米片相比,这是一个显著的改进。本研究为合理设计用于光催化制氢的S型异质结光催化剂提供了一条简单有效的途径。

Determination of coal mine mechanization using fuzzy logic

Two of the most important tasks in coal mines are to improve efficiency and to increase production besides keeping safety constantly in mind.In order to obtain these goals,mine mechanization is required.Mine mechanization needs high levels of investment and should therefore be studied carefully before final decisions about mechanization are made.When analysizing the potential for mechanization the following,rather imprecise,factors should be considered:seam inclination and thickness,geological disturbances,seam floor conditions,roof conditions,water at the working face and the extension of seams.In our study we have used fuzzy logic,membership functions and created fuzzy rule-based methods and to considered the ultimate objective:mechanization of mining.As a case study,the mechanization of the Takht coal seams in Iran was investigated.The results show a high potential for mechanization in most of the Takht coal seams.

Informationization of coal enterprises and digital mine

Analyzed the main problems which were found in current conditions and prob- lems of informationization in coal enterprises.It clarified how to achieve informationization in coal mine and put forward a general configuration of informationization construction in which informationization in coal enterprises was divided into two parts: informationization of safety production and informationization of management.Planned a platform of inte- grated management of informationization in coal enterprises.Ultimately,it has brought forward that an overall integrated digital mine is the way to achieve the goal of informa- tionization in coal enterprises,which can promote the application of automation,digitaliza- tion,networking,informaitionization to intellectualization.At the same time,the competi- tiveness of enterprises can be improved entirely,and new type of coal industry can be supported by information technology.

Quality Safety Standards of Organic Mango

This article conducts a brief analysis of the factors that affect the quality safety of organic mango, and discusses the organic production measures for improving the quality and quality safety of mango, including the choice of environment of place of origin, varieties and seedlings, fertilizers and fertilization, plant protection products and other production inputs. A test is carried out in 0.667 hm2 of base in Tianyang County, Baise City. Content of lead, arsenic and 14 kinds of pesticide residue such as BHC in the mango are not detected; the content of heavy metal such as mercury and cadmium is 0.001-0.006 mg/kg. Then the quality and quality safety indicators of organic mango are discussed, and finally the Guangxi local standards of organic mango products are developed.

基于CNN-LSTM的原煤产量预测模型

为了准确地预测原煤产量,本文选择结合卷积神经网络(convolutional neural network,CNN)与长短期记忆网络(long short-term memory,L-STM)算法,建立基于CNN-LSTM的原煤产量预测模型。使用2010年1月至2021年12月中国原煤产量的月度数据作为训练集,2022年1月至2022年12月的数据作为检验集。利用训练后的模型预测2023年1月至2023年12月的原煤产量。通过与其他两种单一模型进行对比,并根据绝对相对误差评估模型预测结果。结果表明:CNN-LSTM模型的原煤产量预测结果与实际值的绝对最大误差为4.98%,预测精度显著提高,得到了2023年一整年的月度原煤产量预测结果,为国家未来发展和企业规划提供了科学的指导依据。

基于GIS的煤矿地理信息系统的研究与开发

该文介绍了煤矿地理信息系统的基本内容,探讨了基于GIS的煤矿地理信息系统组成,利用Delphi、MapX和SQLServer进行煤矿矿区的空间信息和属性信息的存储、可视化查询和修改,为煤矿的安全化生产提供了有力的技术保障。

基于SEM的煤矿生产物流系统资源冗余评价

煤矿资源冗余有利于提高煤矿生产物流系统的安全性和效率性。论文在建立煤矿生产物流系统冗余资源评价指标体系的基础上,利用结构方程构建了资源冗余评价模型,通过实证分析得出人力资源冗余和财务冗余对煤矿生产物流系统安全性和效率性均具有正向影响的关系,设备冗余对安全性具有正向影响、对效率性具有负向影响的关系,以期为煤炭生产企业保证合理的资源冗余提供理论依据。

基于DEA和Malmquist指数的煤矿安全投入效率评价

为了系统的评价煤矿安全投入效率,采用DEA（数据包络分析）方法,选取我国1991～2010年煤矿安全投入产出数据构建DEA模型,其中煤矿安全投入指标为采煤机械化程度、工程技术人员百分比、颁布煤矿安全法规数和行业标准,产出指标为煤矿百万吨死亡率。根据构建的DEA模型对每年的效率进行分析和评价,并提出建议。同时运用Malmquist指数（全要素生产力指数）对煤矿安全投入效率进行分解研究。研究结果表明,从静态上看,我国仅有1993年和2010年当年的煤矿安全投入和产出都达到了最优状态,并且随着煤矿安全投入逐年增加,煤矿安全投入技术效率、纯技术效率、规模效率逐年提升。从动态上看,我国煤矿安全投入Malmquist指数的提高对技术的依赖很明显,无论是技术进步还是技术效率的提高都会相应的提高Malmquist指数。

基于云模型和D-S理论的煤矿安全管理评价方法

针对传统评价方法处理某些指标时无法同时反映模糊性和随机性的缺陷,提出基于云模型定性与定量互转模型和D-S理论权重确定方法的综合评价方法。综合考虑煤矿安全管理影响因素,建立以设备管理、作业环境管理、信息管理、人员分配管理为二级指标的煤矿安全管理系统指标体系。霍州煤电集团宋庄煤矿的安全管理系统评价结果表明,该方法科学、有效。

TD-SCDMA技术在煤炭行业中的应用分析

分析了目前我国煤矿通信系统的发展需求及现阶段主要煤矿通信技术存在的问题,提出了一种基于TD-SCDMA的煤矿井上井下一体化无线通信系统的解决方案,介绍了该系统的组网结构及实现的功能。测试结果表明,该系统可无缝覆盖井下作业区、井上调度控制区和生活区,不仅能够满足日常安全生产的通信需要,而且能够实现在特殊情况下的指挥与调度功能。

基于C/S+B/S混合模式的城市重大危险源管理系统的研究

分析城市重大危险源管理系统的功能结构,针对现阶段技术应用的局限性,笔者提出C/S+B/S混合模式的解决方案;对数据库系统、网络构架及安全性、兼容性和模型系统等关键技术进行研究;开发出基于C/S+B/S混合模式的城市重大危险源管理系统。该系统对解决城市重大危险源统一管理与布局分散的矛盾,实现重大危险源动态监管和重大事故应急指挥智能化,提高事故应急救援指挥和救援行为的效率有重要意义。

基于B/S架构的煤矿安全远程培训系统的设计

我国作为煤炭储存大国,其生产过程的安全问题受到了国家的高度重视。随着各种矿难事故的发生,煤矿企业也相应的制定了各种应对措施,各种防御系统、报警系统、安全培训层出不穷,介于煤矿职工的工作特点,在对员工实施规模统一的安全培训受到一定的限制。为了加强煤矿职工的安全培训,解决培训中的各种问题,文章提出了基于B/S架构的煤矿安全远程培训系统,该系统是计算机利用网络远程技术对员工进行培训,不受时间和空间的限制,极大程度的提高了安全培训效率。

GIS在煤矿安全生产监控系统中的应用研究

对我国煤矿井下安全生产监控系统现状和地理信息系统GIS在系统中的应用模式、关键技术进行了详细研究,设计了在地理信息系统理论支持下,面向煤矿井下信息环境的安全生产监控系统组建方案。通过对地理信息系统二次开发软件和开发技术的分析,提出了利用成熟软件进行集成开发的高效率、低成本技术路线。

高校工程训练实训室“6S管理”方法的探索

工程训练实训室是高校学生参加工程训练的场所,也是实训教学的重要载体。将生产运作管理的"6S管理"方法引入高等学校工程训练中心日常管理与建设中,为学生搭建安全整洁的实训平台。同时也让学生在学习过程中,形成良好的安全生产理念。

Ajax在基于B/S模式的煤矿安全生产监控系统中的应用

针对基于B/S模式的煤矿安全生产监控系统响应速度慢、用户等待时间长等问题,本文阐述了Ajax技术并将其引入到煤矿安全生产监控系统中,Ajax技术将浏览器端和服务器端传统的同步交互通信方式改变为异步交互通信方式,从而减轻了服务器负担、提高了系统的响应速度、增强了煤矿安全生产实时监控的能力。