Application of Intelligent Power Consumption Management and Control Technology in Enterprise Off-site Enforcement

Regarding the current difficulties in SME(small and medium enterprise)supervision,especially considering the problem that the emission reduction task cannot be effectively implemented under the off-site daily supervision and the new normal of epidemic prevention with control of heavily polluted weather,a new type of intelligent power management technology has been proposed.Power information collection equipment and intelligent data collection and transmission terminal are installed to collect power consumption information of enterprise production facilities and pollution control facilities,and their operating conditions are monitored in 24 h.Abnormal operation alarm and closed-loop disposal management are provided through the software platform.The practical application of power monitoring technology in Rizhao City proves that the system alarms accurately and monitors efficiently.On the one hand,it has improved the efficiency of daily supervision of the ecological environment department,and can accurately investigate and correct corporate pollution control violations.On the other hand,it has enriched environmental supervision methods to accurately control the implementation of emergency emission reduction measures.The application of this technology has realized the transformation from civil defense to technical defense,from random law enforcement to precise law enforcement,and from on-site law enforcement to off-site law enforcement in the supervision of polluting enterprises in the jurisdiction,creating a new mode of off-site law enforcement for enterprises.

A Task-Resource Joint Management Model with Intelligent Control for Mission-Aware Dispersed Computing

Dispersed computing can link all devices with computing capabilities on a global scale to form a fully decentralized network,which can make full use of idle computing resources.Realizing the overall resource allocation of the dispersed computing system is a significant challenge.In detail,by jointly managing the task requests of external users and the resource allocation of the internal system to achieve dynamic balance,the efficient and stable operation of the system can be guaranteed.In this paper,we first propose a task-resource joint management model,which quantifies the dynamic transformation relationship between the resources consumed by task requests and the resources occupied by the system in dispersed computing.Secondly,to avoid downtime caused by an overload of resources,we introduce intelligent control into the task-resource joint management model.The existence and stability of the positive periodic solution of the model can be obtained by theoretical analysis,which means that the stable operation of dispersed computing can be guaranteed through the intelligent feedback control strategy.Additionally,to improve the system utilization,the task-resource joint management model with bi-directional intelligent control is further explored.Setting control thresholds for the two resources not only reverse restrains the system resource overload,but also carries out positive incentive control when a large number of idle resources appear.The existence and stability of the positive periodic solution of the model are proved theoretically,that is,the model effectively avoids the two extreme cases and ensure the efficient and stable operation of the system.Finally,numerical simulation verifies the correctness and validity of the theoretical results.

Research on Active Safety Methodologies for Intelligent Railway Systems

Safety is essential when building a strong transportation system.As a key development direction in the global railway system,the intelligent railway has safety at its core,making safety a top priority while pursuing the goals of efficiency,convenience,economy,and environmental friendliness.This paper describes the state of the art and proposes a system architecture for intelligent railway systems.It also focuses on the development of railway safety technology at home and abroad,and proposes the active safety method and technology system based on advanced theoretical methods such as the in-depth integration of cyber–physical systems(CPS),data-driven models,and intelligent computing.Finally,several typical applications are demonstrated to verify the advancement and feasibility of active safety technology in intelligent railway systems.

Cyber-physical-social System in Intelligent Transportation

A cyber-physical system (CPS) is composed of a physical system and its corresponding cyber systems that are tightly fused at all scales and levels. CPS is helpful to improve the controllability, efficiency and reliability of a physical system, such as vehicle collision avoidance and zero-net energy buildings systems. It has become a hot R&D and practical area from US to EU and other countries. In fact, most of physical systems and their cyber systems are designed, built and used by human beings in the social and natural environments. So, social systems must be of the same importance as their CPSs. The indivisible cyber, physical and social parts constitute the cyber-physical-social system (CPSS), a typical complex system and it's a challengeable problem to control and manage it under traditional theories and methods. An artificial systems, computational experiments and parallel execution (ACP) methodology is introduced based on which data-driven models are applied to social system. Artificial systems, i.e., cyber systems, are applied for the equivalent description of physical-social system (PSS). Computational experiments are applied for control plan validation. And parallel execution finally realizes the stepwise control and management of CPSS. Finally, a CPSS-based intelligent transportation system (ITS) is discussed as a case study, and its architecture, three parts, and application are described in detail. © 2014 Chinese Association of Automation.

Development of Energy Management System for Micro Grid Operation

The introduction of several small and large-scale industries,malls,shopping complexes,and domestic applications has significantly increased energy consumption.The aim of the work is to simulate a technically viable and economically optimum hybrid power system for residential buildings.The proposed micro-grid model includes four power generators:solar power,wind power,Electricity Board(EB)source,and a Diesel Generator(DG)set,with solar and wind power performing as major sources and the EB supply and DG set serving as backup sources.The core issue in direct current to alternate current conversion is harmonics distortion,a five-stage multilevel inverter is employed with the assistance of an intelligent control system is simulated and the optimum system configuration is estimated to reduce harmonics and improve the power quality.The monthly demand for residential buildings is 13-15 Megawatts.So,almost 433 Kilo-Watts(KW)of electricity is required every day,and if it is used for 8 h per day,50-60 KW of electricity is needed per hour.The overall micro-grid model’s operation and performance are established using MATLAB/SIMULINK software,and simulation results are provided.The simulation results show that the developed system is both cost-effective and environment friendly resulting in yearly cost reductions.

An Intelligent System for a Resource Allocation Problem Based on Fuzzy Reasoning

The development of the assistive abilities regarding the decision-making process o fan Intelligent Control System （ICS） like a fuzzy expert system implies the development of its functionality and its ability of specification. Fuzzy expert systems can model fuzzy controllers, i.e., the knowledge representation and the abilities of making decisions corresponding to fuzzy expert systems are much more complicated that in the case of standard fuzzy controllers. The expert system acts also as a supervisor, creating meta-level reasoning on a set of fuzzy controllers, in order to choose the best one for the management of the process. Knowledge Management Systems （KMSs） is a new development paradigm of Intelligent Systems which has resulted from a synergy between fuzzy sets, artificial neural networks, evolutionary computation, machine learning, etc., broadening computer science, physics, economics, engineering, mathematics. This paper presents, after a synergic new paradigm of intelligent systems, as a practical case study the fuzzy and temporal properties of knowledge formalism embedded in an ICS. We are not dealing high with level reasoning methods, because we think that real-time problems can only be solved by rather low-level reasoning. Solving the match-time predictability problem would allow us to build much more powerful reasoning techniques.

Current status and construction scheme of smart geothermal field technology

To address the key problems in the application of intelligent technology in geothermal development,smart application scenarios for geothermal development are constructed.The research status and existing challenges of intelligent technology in each scenario are analyzed,and the construction scheme of smart geothermal field system is proposed.The smart geothermal field is an organic integration of geothermal development engineering and advanced technologies such as the artificial intelligence.At present,the technology of smart geothermal field is still in the exploratory stage.It has been tested for application in scenarios such as intelligent characterization of geothermal reservoirs,dynamic intelligent simulation of geothermal reservoirs,intelligent optimization of development schemes and smart management of geothermal development.However,it still faces many problems,including the high computational cost,difficult real-time response,multiple solutions and strong model dependence,difficult real-time optimization of dynamic multi-constraints,and deep integration of multi-source data.The construction scheme of smart geothermal field system is proposed,which consists of modules including the full database,intelligent characterization,intelligent simulation and intelligent optimization control.The connection between modules is established through the data transmission and the model interaction.In the next stage,it is necessary to focus on the basic theories and key technologies in each module of the smart geothermal field system,to accelerate the lifecycle intelligent transformation of the geothermal development and utilization,and to promote the intelligent,stable,long-term,optimal and safe production of geothermal resources.

Neural Network-Powered License Plate Recognition System Design

The development of scientific inquiry and research has yielded numerous benefits in the realm of intelligent traffic control systems, particularly in the realm of automatic license plate recognition for vehicles. The design of license plate recognition algorithms has undergone digitalization through the utilization of neural networks. In contemporary times, there is a growing demand for vehicle surveillance due to the need for efficient vehicle processing and traffic management. The design, development, and implementation of a license plate recognition system hold significant social, economic, and academic importance. The study aims to present contemporary methodologies and empirical findings pertaining to automated license plate recognition. The primary focus of the automatic license plate recognition algorithm was on image extraction, character segmentation, and recognition. The task of character segmentation has been identified as the most challenging function based on my observations. The license plate recognition project that we designed demonstrated the effectiveness of this method across various observed conditions. Particularly in low-light environments, such as during periods of limited illumination or inclement weather characterized by precipitation. The method has been subjected to testing using a sample size of fifty images, resulting in a 100% accuracy rate. The findings of this study demonstrate the project’s ability to effectively determine the optimal outcomes of simulations.

Experimental Study of Temperature Control Based on Composite Phase Change Materials during Charging and Discharging of Battery

This study is to utilize the heat-absorbing and releasing capabilities of phase change materials(PCM)to regulate the surface temperature fluctuations of batteries during charging and discharging.The goal is to keep the battery within the optimal operating temperature range.The impact of PCM thickness and phase change temperature on battery temperature is investigated by encircling a cylindrical battery with a PCM ring.To improve the thermal conductivity of PCM,expanded graphite(EG) is added to make a composite phase change material(CPCM),and the effects of various EG mass ratios on battery surface temperature and CPCM utilization level are investigated.The findings indicate that increasing PCM thickness effectively extends temperature control time,but its impact is limited.The difference in phase change temperature of PCM controls the battery temperature in different temperature ranges.Lower phase change temperatures are unsuitable for controlling battery temperature in high temperature environments.The addition of EG enhances the thermal conductivity of PCM,leading to further control of battery temperature.The results show that the addition of 6%(mass ratio) EG to CPCM extends the effective temperature control time by 11 min and improves by 28% compared to a single PCM.The CPCM utilization is also more satisfactory and achieved a balance between heat storage and thermal conductivity in a battery thermal management system(BTMS) based on PCM.

矿井水重复利用控制系统设计

鉴于某矿的某排水点水仓水质颇为良好,将其排出地面造成了极大的浪费,与此同时,井下的喷雾、除尘等诸多系统又需要地面来进行供水。针对此种状况,设计了矿井水重复利用控制系统,借助该系统能够科学合理地将该水仓的水运用到地面浴室、井下喷雾等一系列用水系统当中,进而达到节能降耗及重复利用的目的,同时对类似矿山的水资源管理具有一定的借鉴意义。

智能化仓储在物资管理工作中的应用研究

仓储属于物资管理中的关键一环。伴随社会的持续发展、物联网等先进技术的日益成熟,促使智能化仓储作为一种新型模式,在国内物资管理方面占有愈发重要的地位。本文首先分析了智能化仓储系统的应用优势,然后探讨了完善现有设备、加强创新、完善工作流程等智能化仓储在物资管理中的应用要点,最后结合实例,分析了以物联网技术为依托的智能化仓储物资管理系统设计实现措施,以促进智能化仓储能够得到更加良好的应用。

农产品质量安全检测实验室标准物质管理和质量控制方法

标准物质的管理是农产品检测实验室的一项重要工作,能否有效管理标准物质,关系到实验室检测数据的质量,同时也体现了实验室的管理水平。而标准物质的质量控制则是保证检测结果准确有效的重要形式。随着检测实验室的能力范围越来越大,检测参数和检测任务越来越多,标准物质的管理就显得尤为重要。本文总结了标准物质管理中的关键步骤,并对标准物质的质量控制方法进行讨论。

智能数字化技术在食品原材料验收中的应用

随着信息技术的飞速发展,智能数字化技术已成为各行各业转型升级的重要驱动力。在食品供应链领域,传统的人工验收方式存在效率低下、人为因素干扰多、数据追溯困难等问题。在此背景下,本文聚焦于智能数字化技术在食品原材料验收中的应用,深入研究并开发一套包含智能验收秤、扫码枪、货品照相机和集成广角摄像头等设备的智能验收装置,旨在提高食品原材料验收效率、降低人为因素干扰,实现验收数据的实时采集、存储与分析,为食品供应链的数字化转型提供有力支持。

城市给排水系统防漏与堵漏技术研究及实践

广州市作为中国南方的重要城市,其给排水系统的运行状况直接关系到城市的正常运转和居民的生活质量。本文以广州市为例,深入分析了其给排水系统面临的渗漏与堵塞问题,通过具体的数据和案例分析,探讨了问题的成因、影响及解决方案。通过引入智能监测系统、应用新型环保材料、加强施工质量控制和运维管理等多方面措施,提出了提升广州市给排水系统运行效率和安全性的综合策略。

档案数据化智慧型开发在疾病预防控制档案管理中的应用效果

目的探讨档案数据化智慧型开发在疾病预防控制档案管理中的应用效果。方法选择2020年1月—2022年1月厦门市疾病预防控制中心应用传统方法管理时统计管理的512份档案以及30名管理人员作为传统管理组。另选取2022年2月—2024年2月厦门市疾病预防中心应用档案数据化智慧型开发管理时统计管理的512份档案以及30名管理人员作为数据化管理组。对比2组档案管理优良率、整理一次档案耗时以及档案利用率、档案管理人员管理质量、档案管理人员满意度。结果数据化管理组档案管理优良率为97.07%,高于传统管理组的92.19%,差异有统计学意义(P<0.05)。数据化管理组整理一次档案耗时为(6.04±1.22)min,短于传统管理组的(20.19±2.56)min;档案利用率为94.92%,高于传统管理组的79.88%,差异均有统计学意义(P<0.05)。数据化管理组管理方式、管理效果、管理形式、绩效考核、管理技能及管理效率质量评分为(92.51±6.20)分、(91.37±6.03)分、(91.40±5.81)分(、92.07±5.76)分(、91.69±5.68)分(、91.67±5.94)分,均高于传统管理组的(82.50±4.60)分、(83.67±4.90)分、(83.90±4.75)分(、82.64±4.77)分(、82.60±4.53)分(、83.16±4.60)分,差异有统计学意义(P<0.05)。数据化管理组可提升工作效率、可提升管理人员水平、可提高管理人员主观能动性、可降低管理差错满意度分别为100%、93.33%、90.00%、93.33%,均高于传统管理组的76.67%、70.00%、66.67%、73.33%,差异有统计学意义(P<0.05)。结论档案数据化智慧型开发在疾病预防控制档案管理中的应用效果较佳,可有效提高档案管理优良率以及利用率,缩短档案整理所需时间,同时可提升档案管理人员管理质量及满意度。

基于区块链的医院智慧管理系统数据安全研究

随着医疗信息化的迅速发展,医院智慧管理系统在提升医疗服务质量和效率方面发挥着关键作用。然而,医疗数据的敏感性和重要性带来了严峻的安全挑战。文章应用区块链技术来保护医院智慧管理系统的数据安全,并提出了一种创新的基于区块链的数据安全架构。该架构充分利用了分布式存储、共识机制和智能合约等核心技术,有效解决了数据完整性、隐私保护和访问控制等关键问题。实验结果表明,文章方案在保障数据安全性的同时显著提高了系统的效率和可扩展性,为医疗信息化建设提供了新思路和方法,对推动医疗行业的数字化转型具有重要意义。

基于大数据分析的电力通信管控系统

随着电力系统的快速发展和智能电网的建设,电力通信网的管控面临新的挑战。提出一种基于大数据分析的电力通信管控系统,包括数据采集、数据处理、分析挖掘以及决策支持4个模块。实验结果表明,与传统系统相比,设计系统在故障检测准确率、诊断时间、健康评估以及预测能力等方面均有显著提升,为智能电网的稳定运行和优化管理提供了有力支撑,有助于提高电网智能化水平。

基于数字孪生的桩基施工管理方法与平台应用

针对桩基施工在地质条件、控制精度等方面管理复杂而导致的质量安全风险高的问题,本研究提出了基于数字孪生的桩基施工管理方法。以郑州富田城一号院项目为例,首先总结了桩基施工的难点,然后针对施工难点提出了数字孪生的应用价值,并建立了桩基施工管理五维模型及其运行机理。最终面向工程项目的施工过程提出了关键工艺流程。在此基础上,为了提高施工管控精度和效率,形成了施工管控平台的建立架构。集成施工质量、安全和进度管控目标建立管控平台,有效保证了施工效率和精度,并规避了施工风险。

沐泉山庄度假酒店空调系统的设计分析

文章以沐泉山庄度假酒店项目空调系统的设计为研究对象,阐述了绿色建筑技术在其中的应用,提出工程设计在贯彻落实安全可靠、经济合理、技术先进、施工可行的设计原则和制定绿色建筑设计方案时,需结合项目本身资源条件及当地能源政策等因素和绿色节能技术特点等因素进行综合考虑,旨在针对工程上一些难点和落实国家绿色节能双碳政策提供解决方案。

GYK-160型轨道车运控设备智能综合测试台的设计和实现

为满足GYK-160型轨道车运行控制设备检测维修保障的迫切需求,在综合分析GYK-160型轨道车运行控制设备的组成、设计原理和功能的基础上,设计GYK-160型轨道车运行控制设备智能综合测试台。该测试台采用模拟仿真技术,并集成多种仪器仪表,能够模拟被测设备的外部运行条件或环境,支持多类型被测对象的测试、分析与诊断,可实现GYK-160型轨道车运行控制设备的单板卡、单元、整机级功能测试。搭建测试环境对该测试台进行验证,结果表明:该测试台可实现对GYK-160型轨道车运行控制设备功能的自动化测试,有助于提高设备维护检修的工作效率,满足测试数据报表的数字化管理需求,具有较高的应用价值。