WO2013170418A1 - 煤化工压缩机密封组件检修管理系统 - Google Patents

煤化工压缩机密封组件检修管理系统 Download PDF

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Publication number
WO2013170418A1
WO2013170418A1 PCT/CN2012/075449 CN2012075449W WO2013170418A1 WO 2013170418 A1 WO2013170418 A1 WO 2013170418A1 CN 2012075449 W CN2012075449 W CN 2012075449W WO 2013170418 A1 WO2013170418 A1 WO 2013170418A1
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Prior art keywords
gas
compressor
management system
coal chemical
concentration
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PCT/CN2012/075449
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English (en)
French (fr)
Inventor
李晋平
肖亚宁
刘斌
韩世良
齐振元
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山西潞安矿业(集团)有限责任公司
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Priority to PCT/CN2012/075449 priority Critical patent/WO2013170418A1/zh
Publication of WO2013170418A1 publication Critical patent/WO2013170418A1/zh

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B27/00—Multi-cylinder pumps specially adapted for elastic fluids and characterised by number or arrangement of cylinders
    • F04B27/08—Multi-cylinder pumps specially adapted for elastic fluids and characterised by number or arrangement of cylinders having cylinders coaxial with, or parallel or inclined to, main shaft axis
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B49/00—Control, e.g. of pump delivery, or pump pressure of, or safety measures for, machines, pumps, or pumping installations, not otherwise provided for, or of interest apart from, groups F04B1/00 - F04B47/00
    • F04B49/06—Control using electricity
    • F04B49/065—Control using electricity and making use of computers
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
    • F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
    • F04B51/00—Testing machines, pumps, or pumping installations

Definitions

  • the invention belongs to the technical field of chemical engineering and compressor, and particularly relates to a coal chemical compressor sealing component maintenance management system used in equipment management of a coal chemical enterprise compression unit.
  • the start, stop and load changes of the compressor are unsteady.
  • the compressor When the compressor is in an unsteady state, its seal assembly will have a large loss of life. Improper operation of the compressor will also shorten the service life of the compressor seal assembly.
  • the cumulative loss of the sealing assembly of the compressor unit increases, and the remaining life gradually decreases. If the maintenance items are not properly arranged according to the working conditions of the compressor unit, the compressor unit will be caused. The accident caused a major loss to the entire plant.
  • the key part of the inspection and management of the compressor unit seal assembly is component status detection.
  • the traditional maintenance management system method requires a large amount of detection devices, materials and monitoring equipment, and needs to be sufficient. High-quality human resources to analyze the results. Summary of the invention
  • the object of the present invention is to improve the deficiencies and problems existing in the prior art described above, and provide a coal chemical compressor capable of saving a large amount of resources, reducing energy consumption, and achieving good management effects, based on film gas detection. Sealed to set up an overhaul management system.
  • a coal chemical compressor maintenance management system based on a gas-induced color change film gas sensor the system consists of a gas-induced color-changing inorganic package film gas sensor, a data management system, a data analysis system, and a user-side browser, and is characterized by:
  • the gas-induced color-changing inorganic packaging film gas sensor is installed outside the filler and the support ring of the coal chemical compressor sealing assembly;
  • the gas-induced color-changing inorganic packaging film gas sensor is used for detecting the gas concentration leaked by the compressor in real time, Detecting the obtained gas image data Stored in a data management system based on distributed management algorithms; standard operating parameters of compressor seal components and standard image images corresponding to different concentrations of gas are also stored in the data management system;
  • data analysis system uses principal component analysis combined with color recognition The algorithm analyzes the concentration of the leaked gas, calculates the remaining life of the coal chemical compressor seal assembly according to the leak gas concentration, and analyzes and calculates the calculation result in the data management system; according to the standard operating parameters of the compressor
  • the gas-induced color-changing inorganic packaging film gas sensor is installed outside the filler and the support ring. Since the sealing agent in the compressor is the last barrier to block the leakage of compressed gas, the detection device is mounted on the outside of the support ring and is the best location for detecting possible leaking gas, but the outside of the packing and support ring The space is small, and the possible mounting surfaces are curved surfaces, while the outer wall is thick and heavy, which is not suitable for the installation of traditional detecting devices.
  • the gas-induced color-changing inorganic encapsulating film gas sensor used in the present invention is prepared on a flexible substrate PET and has a small size, so that the sensor can be mounted and fixed on any irregular surface.
  • the gas-induced color-changing inorganic packaging film gas sensor is prepared by chemical vapor deposition (PECVD) on a polyethylene terephthalate (PET) flexible substrate, and the gas sensing material is sensitive to CO-sensitive Sn0 2 and
  • the Fe 2 0 3 is made into a 5 mm X 8 mm 3 X 2 film array in which an image acquisition and recognition device: a complementary metal oxide semiconductor (CMOS) (Photobit Corporation) and a corresponding circuit are packaged.
  • CMOS complementary metal oxide semiconductor
  • the CMOS is used for acquisition, and the collected gas feature image data is stored in the data management system with a sampling interval of 60 min.
  • the data management system adopts distributed management algorithm, and the data management system stores three types of data: on-line detection data of gas-induced color-changing inorganic packaging film gas sensor, that is, image information of leakage gas; different operating parameters and standards of compressor sealing components Image data corresponding to the concentration gas; Data analysis results: including the concentration of the leaked gas and the remaining life of the compressor seal assembly.
  • the data analysis system performs principal component analysis on the gas feature images stored in the data management system.
  • PCA Principal component analysis
  • the color recognition algorithm uses the following steps:
  • the acquired image is subjected to grayscale change combined with high-pass filtering to perform image denoising.
  • other methods including spatial processing (such as histogram equalization) and frequency domain processing (such as low-pass filtering, homomorphism) may be used. Filtering, etc.) and the denoising method combined with the above two methods removes image noise.
  • the edge detection algorithm based on Sobel gradient operator is used to segment the image, and the image is segmented into specific regions with unique or special meanings, and the data carrying the feature information is extracted from it.
  • the quantification of image features in a single step is the key to image analysis and recognition.
  • E ijg is the cumulative loss of the j-th seal assembly of the i-th compressor at a gas concentration
  • E ijp is the cumulative fatigue loss of the j-th seal assembly of the i-th compressor under steady-state operation.
  • y ijk is the design life of the j-th seal assembly of the i-th compressor.
  • T is the index value of the loss of the total life of the compressor seal assembly, based on practical experience, defined as: ⁇ ⁇ ⁇ 80%, 100% ⁇ ⁇
  • the proposed optimized maintenance measures and operation suggestions are displayed on the client browser.
  • the online management of the condition of the critical parts of the compressor is realized.
  • the system adopts the gas-induced color-changing inorganic package gas sensor, which can be fixed and fixed on the curved surface. It has the characteristics of low cost, easy replacement, explosion-proof and corrosion resistance, and is convenient for coal.
  • the system can use a maintenance management system to manage the life of multiple compressor seal components of coal chemical enterprises, using the coal chemical compression provided by the present invention
  • the machine seal assembly inspection management system and life management method can calculate the cumulative life loss of multiple seal components of multiple compressor units online, which can be used to guide the optimal operation of the compressor;
  • the remaining life of the sealing components guides the optimized maintenance of the compressor unit, so that the life and state of the sealing components of multiple compressors are under control, providing technical support for the normal operation of multiple compressors of coal chemical enterprises.
  • FIG. 1 is a diagram of a state maintenance management system for a compressor seal assembly used in the present invention
  • FIG. 2 is a schematic view showing the installation position of the gas-induced color-changing inorganic package gas sensor of the present invention
  • FIG. 3 is a flow chart of the online life management system for the remaining life of the compressor seal assembly of the present invention. detailed description
  • the coal chemical compressor seal assembly maintenance management system consists of a gas-induced color-changing inorganic package gas sensor, a data management system, a data analysis system, and a user-side browser.
  • a gas-induced color-changing inorganic packaging film gas sensor (Model LA-010 (Beijing Agraiya Technology Development Co., Ltd.)) prepared on a flexible substrate-polyethylene terephthalate (PET) is installed.
  • PET polyethylene terephthalate
  • the outside of the packing and the support ring is used to detect the gas leaking from the compressor.
  • the real-time detection data obtained by the gas sensor is stored in the data management system, and the working condition state of the coal chemical compressor seal assembly is analyzed by the data analysis system.
  • the analysis result is stored in the data management system, and then the working condition status and life condition of the coal chemical compressor are evaluated in real time according to the analysis results of the working condition state of the coal chemical compressor sealing assembly, and the evaluation result is displayed on the user browser as a result.
  • the gas-induced color-changing inorganic package film gas sensor is mounted outside the filler and the support ring.
  • the sensor is small in size, the dimensions are 45mm X 20mm, and the sensor is prepared on the flexible substrate PET, which can adapt to the narrow space and curved surface of the packing and the outer side of the support ring.
  • the sensor is bonded with epoxy resin structural adhesive. surface.
  • FIG. 3 it is a flow chart of the online management system for the remaining life of the compressor seal assembly.
  • the gas is detected by a gas-induced color-changing inorganic packaging film gas sensor, and the detection data is stored in the data management system at a sampling interval of 60 min, and the gas characteristic image stored in the data management system is subjected to PCA feature extraction, and combined with Hough transform.
  • the coordinate sequencing code is established, and the image denoising, image segmentation, image edge recognition and the like are processed by performing gray scale change and high-pass filtering on the acquired image, and then determining the difference between the characteristic matrix of each gas in the database and the measured gas.
  • the concentration of the leaking gas is calculated based on the concentration of the leaking gas.
  • optimized maintenance measures and operational recommendations are presented and displayed. On the client browser.
  • the compressor seal assembly state overhaul management system shown in FIG. 1 is used to calculate and evaluate the remaining life of the two compressor seal assemblies by using the flow of the method provided by the present invention as shown in FIG. 3, and an optimized maintenance measure is proposed. Run the recommendations.
  • the gas leakage of the two compressors is detected in real time by the gas-induced color-changing inorganic encapsulation film gas sensor, and the detection data is stored in the data management system at a sampling interval of 60 min;
  • the gas feature image stored in the data management system is extracted by PCA feature, and the Hough transform is combined to establish the coordinate sequencing code.
  • Image denoising, image segmentation and image edge recognition are performed by grayscale variation of the acquired image combined with high-pass filtering.
  • concentration of the leaked gas is calculated according to the difference between the characteristic matrix of each gas in the database and the measured gas;
  • the recommended #2 compressor can be adjusted.
  • Load operation reduces unsteady operation, while #1 compressor maintains stable load operation and can participate in unsteady operation.
  • the recommendations for optimizing operation For the #1 compressor, the flaw detection and aging test can be carried out in the subsequent overhaul; at the same time, the replacement and maintenance of the seal assembly of the #2 compressor unit should be prioritized, and the unit should be sealed.
  • the components are scheduled for overhaul according to the factory's internal overhaul standards.
  • the compressor group sealing component inspection management system can calculate the cumulative life loss of the plurality of sealing components of the two compressor groups online, and is used for guiding the optimal operation of the compressor; and can also calculate multiple compressions online.
  • the remaining life of the unit's multiple seal components guides the optimized maintenance of the compressor unit, keeping the life and state of the main components of the two compressors under control.
  • Based on the life management results of the multiple seal assemblies of the two compressor units operational control measures and scheduled maintenance are performed to ensure that the seal assemblies of the two compressor units operate safely and that their remaining life is properly used.
  • the system can save a lot of resources, reduce energy consumption, and achieve good management results.

Abstract

一种基于薄膜气体检测实现的煤化工压缩机检修管理系统，该系统由气致色变无机封装薄膜气体传感器、数据管理系统、数据分析系统以及用户端浏览器组成；制备在柔性基底即聚对苯二甲酸乙二醇酯之上的气致色变无机封装薄膜气体传感器安装在煤化工压缩机密封组件的填料和支撑环外侧，用于实时检测压缩机泄漏出的气体浓度，检测获得的气体图像数据存储在基于分布式管理算法的数据管理系统中；压缩机密封组件的标准运行参数和标准的不同浓度气体对应的特征图像也存储在数据管理系统中；数据分析系统采用主成份分析结合颜色识别算法分析泄漏气体的浓度，依据泄漏气体浓度计算煤化工压缩机密封组件的剩余寿命，分析和计算结果存储在数据管理系统中；并根据压缩机的标准运行参数及压缩机密封组件的剩余寿命，提出优化检修措施及运行建议，显示在用户浏览器上作为设备维护人员检修管理的依据。

Description

理系统 技术领域
本发明属于化工工程和压縮机技术领域，具体涉及应用于煤化工企业压 縮机组的设备管理中一种煤化工压縮机密封组件检修管理系统。
背景技术
压縮机的启动、 停机及负荷变动过程为非稳态运行过程。 压縮机在非稳 态运行状态下， 其密封组件会有较大的寿命损耗， 对压縮机运行的操作不当 同样会縮短压縮机密封组件的使用寿命。 随着压縮机运行时间的增加， 压縮 机机组的密封组件的累计损耗增大， 剩余寿命逐渐减少， 如果不根据压縮机 组的工况适当安排检修项目， 则会引起压縮机机组的事故， 造成整个工厂的 重大损失。
压縮机机组密封组件检修管理关键的环节为组件状态检测， 为得到准确 有效的检测数据和分析结果， 传统的检修管理系统方法需耗费大量的检测装 置、 材料和监控设备， 而且还需要有足够高素质的人力资源去分析结果。 发明内容
本发明的目的是针对上述现有技术中存在的不足和问题进行改进， 提供 一种能够节省大量的资源， 降低能耗， 取得很好的管理效果，基于薄膜气体 检测实现的煤化工压縮机密封组建检修管理系统。
为实现以上目的， 本发明的技术方案是：
基于气致色变薄膜气体传感器实现的煤化工压縮机检修管理系统， 该系 统由气致色变无机封装薄膜气体传感器、 数据管理系统、 数据分析系统以及 用户端浏览器组成， 其特点是： 所述的气致色变无机封装薄膜气体传感器安 装在煤化工压縮机密封组件的填料和支撑环外侧； 气致色变无机封装薄膜气 体传感器用于实时检测压縮机泄漏出的气体浓度， 检测获得的气体图像数据 存储在基于分布式管理算法的数据管理系统中； 压縮机密封组件的标准运行 参数和标准的不同浓度气体对应的特征图像也存储在数据管理系统中； 数据 分析系统采用主成份分析结合颜色识别算法分析泄露气体的浓度， 依据泄漏 气体浓度计算煤化工压縮机密封组件的剩余寿命， 分析和计算结果存储在数 据管理系统中； 根据压縮机的标准运行参数以及压縮机密封组件的剩余寿 命， 提出优化检修措施及运行建议， 显示在用户端浏览器上作为设备维护人 员检修管理的依据。
所述的气致色变无机封装薄膜气体传感器安装在填料和支撑环外侧。 由于压縮机中的起密封作用的填料是阻挡压縮气体外泄的最后一道屏障， 因 此探测设备安装在其和支撑环外侧是探测可能外泄气体的最佳位置， 但填料 和支撑环外侧空间狭小， 且可能的安装表面均为曲面， 同时外壁为厚重机 身， 不适宜传统探测装置的安装。 本发明采用的气致色变无机封装薄膜气体 传感器制备在柔性基底 PET之上， 且尺寸很小， 使传感器可以安装固定在任 何非规则表面。
所述气致色变无机封装薄膜气体传感器采用化学气相沉积法 （PECVD ) 制备在聚对苯二甲酸乙二醇酯 （PET) 柔性基底上， 气敏材料采用对 CO敏感 的 Sn02及对 敏感的 Fe203制成 5mm X 8mm的 3 X 2薄膜阵列， 利用树脂将 图像采集识别装置： 互补型金属氧化物半导体 （CMOS) ( Photobit 公司） 和相应电路封装在其中。
气致色变无机封装薄膜气体传感器对泄漏气体感应产生的图像通过
CMOS 进行采集， 采集到的气体特征图像数据存入数据管理系统， 采样间隔 为 60min。
数据管理系统采用分布式管理算法， 数据管理系统存储三类数据： 气致 色变无机封装薄膜气体传感器在线检测数据， 即泄漏气体的图像信息； 压縮 机密封组件的正常运行参数和标准的不同浓度气体对应的图像数据； 数据分 析结果： 包括泄露气体的浓度和压縮机密封组件的剩余寿命。 数据分析系统将数据管理系统中存储的气体特征图像进行主成份分析
(PCA) , 将提取出的主成分通过 Hough 变换， 建立坐标测序代码， 通过颜色 识别算法完成图像的识别以判别泄露气体的浓度， 根据气体浓度计算压縮机 组密封组件的剩余寿命， 并提出优化检修措施及运行建议。
颜色识别算法采用以下歩骤：
1 . 首先对采集的图像进行灰度变化结合高通滤波的方法进行图像去 噪， 此外， 也可以采用其它包括空域处理 （如直方图均衡等方法） 、 频域处 理 （如低通滤波、 同态滤波等） 以及上述两种方法结合的去噪方法去除图像 噪声。
2 . 其次采用基于索贝尔 （sobel ) 梯度算子的边缘检测算法进行图像 分割， 将图像分割成若干特定、 具有独特性质的或者有特别意义的区域， 并 从中提取出携带特征信息的数据， 这一歩骤对图像特征进行量化， 是图像分 析和识别的关键。
3. 根据数据库中标准的不同气体对应的的特征图像数据与所测气体的 图像数据差异分析泄露气体的浓度。
完成了泄露气体的识别及浓度计算后计算煤化工压縮机密封组件的剩 余寿命， 实现歩骤如下：
1 . 计算在不同气体浓度下的压縮机密封组件的累计寿命损耗 Ε ·
Figure imgf000005_0001
其中： Eijg为第 i 台压縮机的第 j套密封组件在某气体浓度下的累积损 耗， Eijp为第 i台压縮机的第 j套密封组件稳态运行下的累积疲劳损耗。
2. 计算压縮机密封组件的平均寿命损耗速率 eijk
eijk=l/yijk X 100% ( 2 )
其中： yijk为第 i台压縮机的第 j套密封组件的设计寿命。
3. 计算压縮机组密封组件的剩余寿命 Psijk
( T-Eiij ) I eijk ( 3 ) 其中： T 为压縮机密封组件的总寿命的损耗的指标值， 根据实际经验， 定义： Τ Ε {80%, 100%} ο
4. 根据存储在数据管理系统中的压縮机标准运行数据以及对压縮机密 封组件的评估情况， 提出优化检修措施及运行建议：
1 ) 当 Psijk 〈 0. 5年， 年内安排大修， 并加强维护， 增强巡检；
2 ) 当 0. 5年 Psijk ^ 1年， 0. 5年后但 1年内安排计划大修；
3 ) 当 1年 Psijk ^ 2年， 在以后的大修中， 进行探伤检测及老化鉴 定试验；
4) 当 Psijk〉2年时， 按照工厂内部检修标准安排机组的大修计划。
5. 将计算结果存储到数据管理系统。
将提出的优化检修措施及运行建议显示在用户端浏览器上。
本发明的实质性特点和显著有益效果：
实现了压縮机关键部件工况状态检修在线管理， 系统采用气致色变无机 封装气体传感器， 可在曲形表面安装固定， 具有成本低、 更换容易、 防爆及 耐腐蚀的特点， 便于在煤化工行业下的易燃、 易爆等危险性气体和恶劣条件 下工作； 系统可以使用一套检修管理系统管理煤化工企业多台压縮机密封部 件的寿命， 采用本发明提供的煤化工压縮机密封组件检修管理系统及寿命管 理方法， 可以在线计算多台压縮机组的多个密封组件的累计寿命损耗， 用来 指导压縮机的优化运行； 也可以在线计算多台压縮机组的多个密封组件的剩 余寿命， 指导压縮机组的优化检修， 以便使多台压縮机的密封组件的寿命和 状态处于受控状态， 为煤化工企业多台压縮机的正常运行提供技术支持。 附图说明
图 1为本发明所采用压縮机密封组件状态检修管理系统图；
图 2为本发明气致色变无机封装气体传感器安装位置示意图； 图 3为本发明压縮机密封组件剩余寿命在线管理系统流程图。 具体实施方式
以下结合附图对本发明作进一歩说明：
如图 1 所示， 煤化工压縮机密封组件检修管理系统由气致色变无机封装 气体传感器、 数据管理系统、 数据分析系统以及用户端浏览器组成。 其中， 制备在柔性基底-聚对苯二甲酸乙二醇酯 （PET) 之上的气致色变无机封装薄膜 气体传感器 （型号为 LA-010 (北京阿格蕾雅科技发展有限公司） 安装在填料 和支撑环外侧， 用于检测压縮机泄漏出的气体， 气体传感器获得的实时检测 数据存储在数据管理系统中， 并通过数据分析系统对煤化工压縮机密封组件 的工况状态进行分析， 分析结果存储在数据管理系统中， 然后根据煤化工压 縮机密封组件的工况状态分析结果实时评估煤化工压縮机的工况状态及寿命 情况， 评估结果显示在用户端浏览器上作为设备维护人员检修管理的依据。
如图 2所示， 所述的气致色变无机封装薄膜气体传感器安装在填料和支 撑环外侧。 传感器尺寸很小， 外形尺寸为 45mm X 20mm， 且传感器制备在柔 性基底 PET之上， 使其可以适应填料和支撑环外侧狭小的空间和曲形表面， 传感器采用环氧树脂结构胶粘接在安装表面。
如图 3所示， 为压縮机密封组件剩余寿命在线管理系统流程图。 采用气 致色变无机封装薄膜气体传感器对泄露气体进行检测， 按 60min的采样间隔 将检测数据存入数据管理系统， 将数据管理系统中存储的气体特征图像进行 PCA特征提取， 并结合 Hough变换， 建立坐标测序代码， 通过对采集的图像 进行灰度变化结合高通滤波的方法进行图像去噪、 图像分割、 图像边缘识别 等处理后， 根据数据库中各气体的特征矩阵与所测气体的数值差异判定泄露 气体的浓度， 基于泄露气体的浓度计算压縮机组密封组件的剩余寿命， 最 后， 根据压縮机的标准运行数据以及压縮机密封组件的剩余寿命， 提出优化 检修措施及运行建议， 并显示在用户端浏览器上。
本发明的具体实例： 对于两台某型号压縮机， 其主要参数分别为
#1： 容积流量： 155000Nm3/h, 压縮机功率： 13780kw
#2： 容积流量： 4926Nm3/h, 压縮机功率： 3166kw
采用图 1所示的压縮机密封组件状态检修管理系统， 采用如图 3所示的 本发明提供方法的流程对两台压縮机密封组件的剩余寿命进行计算和评估， 提出优化检修措施及运行建议。
采用气致色变无机封装薄膜气体传感器对两台压縮机泄漏气体进行实时 检测， 按 60min的采样间隔将检测数据存入数据管理系统；
将数据管理系统中存储的气体特征图像进行 PCA 特征提取， 并结合 Hough 变换， 建立坐标测序代码， 通过对采集的图像进行灰度变化结合高通 滤波的方法进行图像去噪、 图像分割、 图像边缘识别等处理后， 根据数据库 中各气体的特征矩阵与所测气体的数值差异计算泄露气体的浓度；
在非稳态过程结束后发出指令， 计算两台机组运行到 2010年 9月 5 日 24 时压縮机组密封组件的累计寿命损耗和平均寿命损耗速率， 最终计算出 剩余寿命， 计算结果如表 1所示。 表 1
Figure imgf000008_0001
从表 1中可知 #1压縮机， Psijk=1. 5年， 而 #2压縮机， Psijk=2. 1年， 从延 长使用寿命的观点出发， 推荐 #2 压縮机可调整负荷运行， 减少非稳态运 行， 而 #1 压縮机保持稳定负荷运行， 可参与非稳态运行。 根据表 1 中的数 据给出优化运行建议： 对 #1 压縮机， 可以在以后的大修中， 进行探伤检测 及老化鉴定试验； 同时应优先安排 #2 压縮机组的密封组件的更换及维修， 对该机组密封组件按照工厂内部检修标准安排大修计划。
本发明提供的压縮机组密封组件检修管理系统， 可以在线计算这两台压 縮机组的多个密封组件的累计寿命损耗， 用来指导压縮机的优化运行； 也可 以在线计算多台压縮机组的多个密封组件的剩余寿命， 指导压縮机组的优化 检修， 使两台压縮机的主要部件的寿命和状态处于受控状态。 根据这两台压 縮机组的多个密封组件的寿命管理结果采取运行控制措施并安排计划检修， 既可确保这两台压縮机组的密封组件安全运行， 又可以合理使用其剩余寿 命。 该系统能够节省大量的资源， 降低能耗， 取得很好的管理效果。

Claims

权利要求书
1.一种煤化工压縮机密封组件检修管理系统， 该系统由气致色变无机封 装薄膜气体传感器、 数据管理系统、 数据分析系统以及用户端浏览器组成； 其特征在于： 所述的气致色变无机封装薄膜气体传感器安装在煤化工压縮机 密封组件的填料和支撑环外侧； 气致色变无机封装薄膜气体传感器用于实时 检测压縮机泄漏出的气体浓度， 检测获得的气体图像数据存储在基于分布式 管理算法的数据管理系统中； 压縮机密封组件的标准运行参数和标准的不同 浓度气体对应的特征图像也存储在数据管理系统中； 数据分析系统采用主成 份分析结合颜色识别算法分析泄露气体的浓度， 依据泄漏气体浓度计算煤化 工压縮机密封组件的剩余寿命， 分析和计算结果存储在数据管理系统中； 根 据压縮机的标准运行参数及压縮机密封组件的剩余寿命， 并提出优化检修措 施及运行建议， 显示在用户端浏览器上作为设备维护人员检修管理的依据。
2.根据权利要求 1所述的煤化工压縮机密封组件检修管理系统， 其特征 在于： 所述的气致色变无机封装薄膜气体传感器的气敏材料为 51 02和 Fe203, 传感器制备在柔性基底-聚对苯二甲酸乙二醇酯之上。
3.根据权利要求 1所述的煤化工压縮机密封组件检修管理系统， 其特征 在于： 所述的颜色识别算法为： 首先采用灰度变化结合高通滤波的方法进行 图像去噪， 其次采用基于索贝尔梯度算子的边缘检测算法进行图像分割， 最 后根据数据管理系统中存储的标准的不同浓度气体对应的特征图像与所测气 体图像的数值差异判定泄露气体的浓度。
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