智能电厂总体规划建设方案

一、建设目标   响应 “数字***” ， 以示范项目引领行业智能电厂建设。打造***集团核心竞争力。智能生产 ， 卓越运营；更经济、 安全、 环保、 可靠、 高效、 先进。二、建设思路    通过数据桥梁联通虚拟电厂和物理电厂 ，在数据虚拟电厂环境中实现 设备的监测、预警、诊断、试验 ，优化其运行状态。将最佳方案反馈  应用在物理世界的设备 操作上 ，全面提升电厂  整体智慧能力。三、建设原则   统一规划 ， 统筹安排，科学设定建设方向、 目 标、 要求和路径 ， 选取 试点、 先行先试 ， 以点 带面、 分步实施 ， 有序 推进。  立足于浙能集团业务特点、 业务需求和业务发 展 ， 坚持问题导向 ， 运 用先进技术 ， 弥补指标 差距 ，解决关键问题。   完善和整合现有自动化、信息化、 网络化管理体系 ， 推进跨部门、 跨专业、 跨领域的集约化建   设 ， 实现资源整合、 互联互通、 共建共享。   围绕智能电厂建设目标，开展专题研究 ， 攻关核  心技术 ，研发适应产品， 推进新理论 、 新方法 、  新技术 、 新设备应用与  实践 ， 有效促进智能电  厂建设。    定期总结评估智能电厂各阶段建设效果 ， 对战略规划、 建设目标、 试点推进、 实施方案进行动态调整、 持续改进，及时总结固化 ， 适时有序推广。四、业务架构   （详见正文） 五、建设内容    5.1.智能设备。包括智能设备体虚拟镜像模型构建平台；设备实例化数字镜像模型； 实现现场管控；实现人机在线仿真测试、 推演和训练等。   5.2.智能运行。基于智能设备 ，实现电厂运行工作的精细化和智能化管理。应用新方法、新技术， 降低运行人员劳动强度 ，提升员工工作绩效。实现机组运行的最佳实践 ，确保最佳的发电成本和运营成本。  5.3.智能安全。将工业无线WIFI、 智能识别、 智能安防、虚拟现实、 人员定位、移动互联、 大数据等设备和先进技术 ， 融入到安全管理体系，构建安全风险管控平台 ， 实现安全业务闭环管  控、 现场管理流程规范、 安全数据深度挖掘、 风险有效监控预防 ，确保作业过程安全、作业行为安全和系统设备安全。实现“人防”到 “智防 “的转变。 5.4.智能燃料。燃料全过程智能化管理以实现燃料本质安全、节能降耗、降本增效为目标 ， 利用先进的自动化设备 ，以智能化管理为手段 ， 减少人为干预 ，在供煤、 存煤、 计量、 化验、 配煤掺烧等环节实现燃料从入厂到入炉的全过程智能化.  5.5.智能决策。基于全成本、 全价值、 大经营的管理 思路 ， 构建发电企业经营量、 本、利 管控体系。精准分析电厂财务经营、 利润、 发电 量、 绩效等信息 ， 构建企业精细化经 营损益控制模式。及时发现生产经营中存在的问题 ， 为 企业适应电力体制改革、 全面参与市 场竞争提供重要数据支持。控 ，降低燃料成本 ， 提高燃煤质量 ，优化锅炉燃烧效率 ， 最终达到燃料管理的科学化、规范化、精细化。  5.6.智能培训。结合VR技术 ， 构建电厂智能培训系统 ， 实现现场设备位置、 操作、 故障/应急处置仿真。 实现设备部件解体、装复全过程仿真。 通过仿真培训避免现实中的安全事故 ，加深受训者的安全认知与操作。熟练专业技能 ，提升人员水平。  5.7.智能仓储。利用条形码、 射频识别技术、 传感器等先进的物联网技术通过信息处理和网络通信技术应用物    资采购、 跟踪、入库、 仓储、 出库、 盘点等基本活动环节 ， 实现物资高效率优化管理 ，提高物资仓储服务水平 ，  降低成本 ， 减少资源消耗。 实现 ：物品识别、 地点跟踪、 物品溯源、 物品监控、 实时响应。  5.8.智能档案。对电厂海量文档数据资源进行全文数据标引、碎片化重组、知识体系构建 数据挖掘分析、 在线发布与智能检索、分析利用。使查询资料变得简单 ， 使电厂人员在与任何地点、 任何时候都能够快速查询各种设备档案、 检修规程和技术档案。实现档案信息的超时空流动和 “无墙界档案”。

1. Construction Objectives
Respond to "Digital ***", lead the construction of intelligent power plants in the industry through demonstration projects, and enhance the core competitiveness of *** Group. Focus on intelligent production and excellent operation, with the goals of being more economical, safe, environmentally friendly, reliable, efficient and advanced.

2. Construction Ideas
Build a data bridge to connect the virtual power plant and the physical power plant. In the virtual power plant environment based on data, realize equipment monitoring, early warning, diagnosis and testing, and optimize its operating status. Feed back the optimal solutions to the equipment operations in the physical world, so as to comprehensively improve the overall intelligent capabilities of the power plant.

3. Construction Principles
- Adopt unified planning and overall arrangement: scientifically define the construction direction, objectives, requirements and paths, select pilot projects for trial implementation, promote work from point to area, implement in phases, and advance in an orderly manner.
- Align with the business characteristics, needs and development directions of Zhejiang Energy Group, adhere to problem-oriented principles, apply advanced technologies to bridge indicator gaps and solve key issues.
- Improve and integrate existing automation, informatization and networked management systems, promote intensive construction across departments, specialties and fields, and realize resource integration, interconnection and sharing, and joint construction.
- Carry out special research around the construction objectives of intelligent power plants, tackle core technologies, develop applicable products, promote the application and practice of new theories, methods, technologies and equipment, and effectively promote the construction of intelligent power plants.
- Regularly summarize and evaluate the construction effects of each stage of the intelligent power plant, dynamically adjust and continuously improve the strategic planning, construction objectives, pilot promotion and implementation plans, summarize and solidify experiences in a timely manner, and promote them appropriately and orderly.

4. Business Architecture (see the main text for details)

5. Construction Content
5.1. Intelligent Equipment: Including the platform for constructing virtual mirror models of intelligent equipment; instantiated digital mirror models of equipment; realizing on-site management and control; realizing online human-machine simulation testing, deduction and training, etc.
5.2. Intelligent Operation: Based on intelligent equipment, realize refined and intelligent management of power plant operation work. Apply new methods and technologies to reduce the labor intensity of operation personnel and improve employee performance. Realize the best practices of unit operation, and ensure the optimal power generation and operating costs.
5.3. Intelligent Safety: Integrate industrial wireless WIFI, intelligent identification, intelligent security, virtual reality, personnel positioning, mobile Internet, big data and other advanced technologies and equipment into the safety management system, and build a safety risk management and control platform. Realize closed-loop management of safety services, standardized on-site management processes, in-depth mining of safety data, effective monitoring and prevention of risks, and ensure the safety of operation processes, operation behaviors and system equipment, realizing the transformation from "human-centered prevention" to "intelligent prevention".
5.4. Intelligent Fuel: The whole-process intelligent management of fuel aims to realize intrinsic safety of fuel, energy conservation and consumption reduction, and cost reduction and efficiency increase. Use advanced automation equipment and intelligent management as means to reduce human intervention, and realize the whole-process intelligent management of fuel from plant entry to furnace entry in the links of coal supply, coal storage, measurement, testing, coal blending and combustion, etc.
5.5. Intelligent Decision-making: Based on the management concept of full-cost, full-value and large-scale operation, build the management and control system for the volume, cost and profit of power generation enterprises. Accurately analyze the financial operation, profit, power generation volume, performance and other information of the power plant, and build a refined operating profit and loss control model for the enterprise. Timely discover problems in production and operation, and provide important data support for enterprises to adapt to the power system reform and fully participate in market competition. Control, reduce fuel costs, improve coal quality, optimize boiler combustion efficiency, and finally achieve scientific, standardized and refined fuel management.
5.6. Intelligent Training: Combine VR technology to build an intelligent training system for power plants, realizing simulation of on-site equipment positions, operations, faults/emergency disposal. Realize the whole-process simulation of equipment disassembly and reassembly. Through simulation training, avoid safety accidents in reality, deepen the safety awareness and operation skills of trainees, master professional skills and improve personnel capabilities.
5.7. Intelligent Warehousing: Use advanced Internet of Things technologies such as barcodes, radio frequency identification (RFID) and sensors, combined with information processing and network communication technologies, to apply to the basic links of material procurement, tracking, warehousing, storage, outbound and inventory. Realize efficient and optimized management of materials, improve material warehousing service levels, reduce costs and resource consumption. Realize functions including item identification, location tracking, item traceability, item monitoring and real-time response.
5.8. Intelligent Archives: Perform full-text indexing, fragment reorganization, knowledge system construction, data mining and analysis, online release, intelligent retrieval and analysis utilization for the massive document data resources of power plants. Simplify information query, enabling power plant personnel to quickly query various equipment archives, maintenance procedures and technical archives anytime and anywhere. Realize the cross-time and space flow of archive information and build a "wall-free archive".

搜集汇总

背景与挑战

背景概述

该数据集概述了智能电厂的总体规划建设方案，旨在通过数字化和智能化技术提升电厂的经济性、安全性和效率。方案详细列出了八大智能建设内容，包括设备、运行、安全等关键领域的实施方案和技术应用。