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CN114926024A - Online calibration method and system for coal gasification device - Google Patents

Online calibration method and system for coal gasification device Download PDF

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CN114926024A
CN114926024A CN202210554955.6A CN202210554955A CN114926024A CN 114926024 A CN114926024 A CN 114926024A CN 202210554955 A CN202210554955 A CN 202210554955A CN 114926024 A CN114926024 A CN 114926024A
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邢涛
李德飞
刘均安
孙火艳
胡有元
陈玉石
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Sinopec Ningbo Engineering Co Ltd
Sinopec Ningbo Technology Research Institute
Petro CyberWorks Information Technology Co Ltd
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Abstract

本发明涉及一种煤气化装置在线标定方法及系统,通过预先构建煤气化装置标定模型,并且再获取标定煤气化装置所需要的标定用数据,最后将获取的标定用数据输入到煤气化装置标定模型,得到煤气化装置标定结果,自动生成供在线处理的标定报告,降低了人工标定时间成本,提高了煤气化装置的标定效率和准确性,减少了煤气化装置标定报告的编制和校审时间。

Figure 202210554955

The invention relates to an on-line calibration method and system for a coal gasification device. The coal gasification device calibration model is constructed in advance, the calibration data required for the calibration of the coal gasification device is obtained, and finally the obtained calibration data is input into the coal gasification device calibration. The model can obtain the calibration results of the coal gasification unit, and automatically generate a calibration report for online processing, which reduces the cost of manual calibration time, improves the calibration efficiency and accuracy of the coal gasification unit, and reduces the preparation and verification time of the coal gasification unit calibration report. .

Figure 202210554955

Description

煤气化装置在线标定方法及系统On-line calibration method and system for coal gasification plant

技术领域technical field

本发明涉及煤气化装置领域,尤其涉及一种煤气化装置在线标定方法及系统。The invention relates to the field of coal gasification devices, in particular to an on-line calibration method and system for a coal gasification device.

背景技术Background technique

煤气化装置是煤化工装置的龙头。为检验煤气化装置在满负荷正常生产时的各项运行指标能否达到设计条件或者需要考核装置能力时,通常会对煤气化装置的生产能力、工艺及控制指标、环保指标、产品质量、设备性能、自控水平、消耗定额等各项指标能否达到设计要求进行全面标定,进而可以基于对煤气化装置的标定结果获得煤气化装置在实际运行状态下的详尽基础数据,了解煤气化装置的实际技术性能。Coal gasification unit is the leader of coal chemical unit. In order to test whether the various operating indicators of the coal gasification plant can meet the design conditions during normal production at full load, or when the plant capacity needs to be assessed, the production capacity, process and control indicators, environmental protection indicators, product quality, and equipment of the coal gasification plant are usually checked. Whether the performance, automatic control level, consumption quota and other indicators can meet the design requirements can be fully calibrated, and then based on the calibration results of the coal gasification unit, the detailed basic data of the coal gasification unit in the actual operating state can be obtained to understand the actual operation of the coal gasification unit. technical performance.

目前,针对煤气化装置的标定主要采取人工标定方法,即由人工从诸如DCS系统、MES系统、LIMS系统等多个数据来源获取标定数据,并填入到煤气化装置的相关工艺参数记录表,而后再通过人工处理分析获取的这些标定数据,计算得到煤气化装置的各项性能指标以及获得物料平衡、热量平衡和设备效率等效能参数,完成性能评价,最后人工撰写编制标定报告。该方法存在标定效率低,标定工作劳动强度大,部分数据获取困难及数据处理量大,且容易出现人为误差等问题。At present, the calibration of coal gasification unit mainly adopts manual calibration method, that is, manually obtain calibration data from multiple data sources such as DCS system, MES system, LIMS system, etc., and fill in the relevant process parameter record table of coal gasification unit. Then, through manual processing and analysis of the obtained calibration data, various performance indicators of the coal gasification unit are calculated and performance parameters such as material balance, heat balance and equipment efficiency are obtained to complete the performance evaluation, and finally the calibration report is manually written. This method has problems such as low calibration efficiency, high labor intensity of calibration work, difficulty in obtaining some data, large data processing amount, and prone to human error.

但是,现有针对煤气化装置的人工标定方法存在不足:随着煤气化装置标定范围的不断增大,人工标定工作的工作量随之增大,而且还需要投入更多的人力和时间去完成标定报告编制工作,极大地降低了煤气化装置的标定效率。However, the existing manual calibration methods for coal gasification plants have shortcomings: with the continuous increase of the calibration range of coal gasification plants, the workload of manual calibration work increases, and more manpower and time need to be invested to complete The preparation of the calibration report greatly reduces the calibration efficiency of the coal gasification unit.

发明内容SUMMARY OF THE INVENTION

本发明所要解决的第一个技术问题是针对上述现有技术提供一种智能化自动完成标定的煤气化装置在线标定方法。The first technical problem to be solved by the present invention is to provide an on-line calibration method for a coal gasification device that intelligently and automatically completes the calibration for the above-mentioned prior art.

本发明所要解决的第二个技术问题是提供一种实现上述煤气化装置在线标定方法的煤气化装置在线标定系统。The second technical problem to be solved by the present invention is to provide an on-line calibration system for coal gasification plants that realizes the above-mentioned online calibration method for coal gasification plants.

本发明解决第一个技术问题所采用的技术方案为:煤气化装置在线标定方法,其特征在于,包括如下步骤:The technical solution adopted by the present invention to solve the first technical problem is: an on-line calibration method for a coal gasification unit, which is characterized in that it includes the following steps:

步骤1,预先构建煤气化装置标定模型;Step 1, pre-build a calibration model of the coal gasification unit;

步骤2,获取标定煤气化装置所需要的标定用数据;Step 2, obtaining the calibration data required for calibrating the coal gasification device;

步骤3,将获取的标定用数据输入到煤气化装置标定模型,得到煤气化装置标定结果;Step 3, input the acquired calibration data into the coal gasification unit calibration model to obtain the coal gasification unit calibration result;

步骤4,基于得到的煤气化装置标定结果,生成供在线处理的煤气化装置标定报告。Step 4, based on the obtained coal gasification unit calibration results, generate a coal gasification unit calibration report for on-line processing.

再改进,在所述煤气化装置在线标定方法中,所述煤气化装置标定模型的构建过程包括如下步骤:Further improvement, in the on-line calibration method of the coal gasification device, the construction process of the calibration model of the coal gasification device includes the following steps:

步骤S1,收集标定煤气化装置所需要的性能参数集合;其中,该性能参数集合包括煤气化装置的生产能力、工艺参数、产品质量、设备性能、能耗和物耗;Step S1, collecting a set of performance parameters required for the calibration of the coal gasification unit; wherein, the performance parameter set includes the production capacity, process parameters, product quality, equipment performance, energy consumption and material consumption of the coal gasification unit;

步骤S2,基于数据来源对收集的性能参数集合进行分类,形成可测量性能参数集合与非可测量性能参数集合;Step S2, classifying the collected performance parameter set based on the data source to form a measurable performance parameter set and a non-measurable performance parameter set;

步骤S3,收集可测量性能参数集合中的性能参数的数据来源,形成可测量性能参数来源映射集;Step S3, collecting data sources of performance parameters in the measurable performance parameter set, and forming a measurable performance parameter source mapping set;

步骤S4,基于可测量性能参数来源映射集和对应的性能指标计算公式,得到可测量性能参数计算模型;Step S4, based on the measurable performance parameter source mapping set and the corresponding performance index calculation formula, obtain a measurable performance parameter calculation model;

步骤S5,基于装置运行数据构建装置机理模型,获取非可测量性能参数集中的性能参数;Step S5, constructing a device mechanism model based on the device operation data, and acquiring performance parameters in the non-measurable performance parameter set;

步骤S6,将利用机理模型计算所得非可测量性能参数与标定报告对应需要的非可测量性能参数进行映射,形成非可测量性能参数映射集;Step S6, mapping the non-measurable performance parameters calculated by using the mechanism model with the non-measurable performance parameters required corresponding to the calibration report to form a non-measurable performance parameter mapping set;

步骤S7对可测量性能参数来源映射集、可测量性能参数计算模型、装置机理模型以及非可测量性能参数映射集进行封装,得到煤气化装置标定模型。Step S7 encapsulates the measurable performance parameter source mapping set, the measurable performance parameter calculation model, the device mechanism model and the non-measurable performance parameter mapping set to obtain a coal gasification device calibration model.

进一步地,在所述煤气化装置在线标定方法中,所述装置机理模型的构建过程包括如下步骤:Further, in the on-line calibration method of the coal gasification device, the construction process of the device mechanism model includes the following steps:

步骤a1,收集煤气化装置的设计数据和运行数据,并对运行数据进行预处理,形成样本数据库;Step a1, collecting the design data and operation data of the coal gasification unit, and preprocessing the operation data to form a sample database;

步骤a2,对样本数据库中的数据进行工况聚类,形成工况数据集;In step a2, the data in the sample database is clustered by operating conditions to form a data set of operating conditions;

步骤a3,基于工况数据集,采用流程模拟技术分别构建对应不同工况的装置机理模型。In step a3, based on the working condition data set, a process simulation technology is used to construct device mechanism models corresponding to different working conditions respectively.

再改进,在所述煤气化装置在线标定方法中,按照如下方式对煤气化装置做出对应的性能标定:Further improvement, in the on-line calibration method of the coal gasification device, the corresponding performance calibration of the coal gasification device is made in the following way:

当所得任一性能参数值大于与该任一性能参数所对应的预设效能参数阈值时,标定煤气化装置的该任一性能参数值超标;否则,标定煤气化装置的该任一性能参数值未超标。When the value of any performance parameter obtained is greater than the preset performance parameter threshold value corresponding to the performance parameter, the value of the performance parameter of the calibration coal gasification plant exceeds the standard; otherwise, the value of the performance parameter of the coal gasification device is calibrated. Not exceeded.

可选择地,在所述煤气化装置在线标定方法中,所述在线处理为在线浏览、编辑、校核、导出以及保存中的至少一种处理操作。Optionally, in the method for on-line calibration of a coal gasification plant, the on-line processing is at least one of on-line browsing, editing, checking, exporting and saving.

本发明解决第二个技术问题所采用的技术方案为:煤气化装置在线标定系统,实现所述的煤气化装置在线标定方法,其特征在于,该煤气化装置在线标定系统包括:The technical solution adopted by the present invention to solve the second technical problem is: an on-line calibration system for a coal gasification device, and realizes the on-line calibration method for the coal gasification device, and is characterized in that, the on-line calibration system for the coal gasification device includes:

数据采集模块,获取标定煤气化装置所需要的标定用数据;The data acquisition module obtains the calibration data required for calibrating the coal gasification unit;

煤气化装置标定模型,基于数据采集模块获取的标定用数据,得到煤气化装置标定结果。The calibration model of the coal gasification unit is based on the calibration data obtained by the data acquisition module, and the calibration result of the coal gasification unit is obtained.

与现有技术相比,本发明的优点在于:该发明中的煤气化装置在线标定方法通过预先构建煤气化装置标定模型,并且再获取标定煤气化装置所需要的标定用数据,最后将获取的标定用数据输入到煤气化装置标定模型,得到煤气化装置标定结果,自动生成供在线处理的标定报告,降低了人工标定时间成本,提高了煤气化装置的标定效率和准确性,减少了煤气化装置标定报告的编制和校审时间。Compared with the prior art, the advantage of the present invention is that: the on-line calibration method of the coal gasification device in the invention builds the calibration model of the coal gasification device in advance, and then obtains the calibration data required for the calibration of the coal gasification device, and finally uses the obtained calibration data. The calibration data is input into the calibration model of the coal gasification unit, the calibration results of the coal gasification unit are obtained, and the calibration report for online processing is automatically generated, which reduces the time cost of manual calibration, improves the calibration efficiency and accuracy of the coal gasification unit, and reduces the cost of coal gasification. Time for preparation and review of device calibration reports.

附图说明Description of drawings

图1为本发明实施例中的煤气化装置在线标定方法流程示意图。FIG. 1 is a schematic flowchart of an on-line calibration method for a coal gasification unit in an embodiment of the present invention.

具体实施方式Detailed ways

以下结合附图实施例对本发明作进一步详细描述。The present invention will be further described in detail below with reference to the embodiments of the accompanying drawings.

本实施例提供一种煤气化装置在线标定方法。具体地,参见图1所示,该实施例的煤气化装置在线标定方法包括如下步骤:This embodiment provides an online calibration method for a coal gasification device. Specifically, as shown in FIG. 1 , the on-line calibration method for a coal gasification plant of this embodiment includes the following steps:

步骤1,预先构建煤气化装置标定模型;其中,在该实施例中,煤气化装置标定模型的构建过程包括如下步骤S1~S7:Step 1, constructing a calibration model of the coal gasification unit in advance; wherein, in this embodiment, the construction process of the calibration model of the coal gasification unit includes the following steps S1-S7:

步骤S1,收集标定煤气化装置所需要的性能参数集合;其中,该性能参数集合包括煤气化装置的生产能力、工艺参数、产品质量、设备性能、能耗和物耗;Step S1, collecting a set of performance parameters required for the calibration of the coal gasification unit; wherein, the performance parameter set includes the production capacity, process parameters, product quality, equipment performance, energy consumption and material consumption of the coal gasification unit;

步骤S2,基于数据来源对收集的性能参数集合进行分类,形成可测量性能参数集合与非可测量性能参数集合;Step S2, classifying the collected performance parameter set based on the data source to form a measurable performance parameter set and a non-measurable performance parameter set;

步骤S3,收集可测量性能参数集合中的性能参数的数据来源,形成可测量性能参数来源映射集;Step S3, collecting data sources of performance parameters in the measurable performance parameter set, and forming a measurable performance parameter source mapping set;

步骤S4,基于可测量性能参数来源映射集和对应的性能指标计算公式,得到可测量性能参数计算模型;Step S4, based on the measurable performance parameter source mapping set and the corresponding performance index calculation formula, obtain a measurable performance parameter calculation model;

例如,针对煤气化装置的碳转化率这一个性能指标,其性能指标计算公式如下:For example, for the performance index of carbon conversion rate of a coal gasification unit, the calculation formula of the performance index is as follows:

Figure BDA0003654508240000031
Figure BDA0003654508240000031

步骤S5,基于装置运行数据构建装置机理模型,获取非可测量性能参数集中的性能参数;其中,装置机理模型的构建过程包括如下步骤a1~a3:In step S5, a device mechanism model is constructed based on the device operation data, and performance parameters in the non-measurable performance parameter set are obtained; wherein, the construction process of the device mechanism model includes the following steps a1-a3:

步骤a1,收集煤气化装置的设计数据和运行数据,并对运行数据进行预处理,形成样本数据库;Step a1, collecting the design data and operation data of the coal gasification unit, and preprocessing the operation data to form a sample database;

步骤a2,对样本数据库中的数据进行工况聚类,形成工况数据集;In step a2, the data in the sample database is clustered by operating conditions to form a data set of operating conditions;

步骤a3,基于工况数据集,采用流程模拟技术分别构建对应不同工况的装置机理模型;其中,利用流程模拟技术构建装置机理模型属于现有技术,此处不做赘述;Step a3, based on the working condition data set, using process simulation technology to respectively construct device mechanism models corresponding to different working conditions; wherein, using the process simulation technology to construct device mechanism models belongs to the prior art, and will not be repeated here;

步骤S6,将利用机理模型计算所得非可测量性能参数与标定报告对应需要的非可测量性能参数进行映射,形成非可测量性能参数映射集;Step S6, mapping the non-measurable performance parameters calculated by using the mechanism model with the non-measurable performance parameters required corresponding to the calibration report to form a non-measurable performance parameter mapping set;

步骤S7对可测量性能参数来源映射集、可测量性能参数计算模型、装置机理模型以及非可测量性能参数映射集进行封装,得到煤气化装置标定模型。Step S7 encapsulates the measurable performance parameter source mapping set, the measurable performance parameter calculation model, the device mechanism model and the non-measurable performance parameter mapping set to obtain a coal gasification device calibration model.

步骤2,获取标定煤气化装置所需要的标定用数据;Step 2, obtaining the calibration data required for calibrating the coal gasification device;

步骤3,将获取的标定用数据输入到煤气化装置标定模型,得到煤气化装置标定结果;其中,在该步骤3中,按照如下方式对煤气化装置做出对应的性能标定:当所得任一性能参数值大于与该任一性能参数所对应的预设效能参数阈值时,标定煤气化装置的该任一性能参数值超标;否则,标定煤气化装置的该任一性能参数值未超标。Step 3, input the acquired calibration data into the coal gasification device calibration model, and obtain the coal gasification device calibration result; wherein, in this step 3, make the corresponding performance calibration for the coal gasification device in the following way: when any of the obtained When the performance parameter value is greater than the preset performance parameter threshold corresponding to the performance parameter, the performance parameter value of the calibration coal gasification device exceeds the standard; otherwise, the performance parameter value of the calibration coal gasification device does not exceed the standard.

步骤4,基于得到的煤气化装置标定结果,生成供在线处理的煤气化装置标定报告。其中,此处的在线处理为在线浏览、编辑、校核、导出以及保存中的至少一种处理操作。根据需要,生成的煤气化装置标定报告可以供导出或者保存为pdf格式或者word格式等所需要的文件格式。Step 4, based on the obtained coal gasification unit calibration results, generate a coal gasification unit calibration report for on-line processing. Wherein, the online processing here is at least one processing operation of online browsing, editing, checking, exporting and saving. As required, the generated coal gasification plant calibration report can be exported or saved in a required file format such as pdf format or word format.

该实施例还提供了一种实现上述煤气化装置在线标定方法的煤气化装置在线标定系统。具体地,该实施例的煤气化装置在线标定系统包括:This embodiment also provides an on-line calibration system for a coal gasification device that realizes the above-mentioned method for on-line calibration of a coal gasification device. Specifically, the on-line calibration system of the coal gasification plant of this embodiment includes:

数据采集模块,获取标定煤气化装置所需要的标定用数据;The data acquisition module obtains the calibration data required for calibrating the coal gasification unit;

煤气化装置标定模型,基于数据采集模块获取的标定用数据,得到煤气化装置标定结果。The calibration model of the coal gasification unit is based on the calibration data obtained by the data acquisition module, and the calibration result of the coal gasification unit is obtained.

尽管以上详细地描述了本发明的优选实施例,但是应该清楚地理解,对于本领域的技术人员来说,本发明可以有各种更改和变化。凡在本发明的精神和原则之内所作的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。Although the preferred embodiments of the present invention have been described in detail above, it should be clearly understood that various modifications and variations of the present invention will occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims (6)

1. The coal gasification device online calibration method is characterized by comprising the following steps:
step 1, a coal gasification device calibration model is constructed in advance;
step 2, obtaining calibration data required by calibrating the coal gasification device;
step 3, inputting the obtained calibration data into a coal gasification device calibration model to obtain a coal gasification device calibration result;
and 4, generating a coal gasification device calibration report for online processing based on the obtained coal gasification device calibration result.
2. The coal gasification device online calibration method according to claim 1, wherein the coal gasification device calibration model is constructed by the following steps:
step S1, collecting a performance parameter set required by the calibration coal gasification device; wherein the set of performance parameters comprises the production capacity, process parameters, product quality, equipment performance, energy consumption and material consumption of the coal gasification device;
step S2, classifying the collected performance parameter sets based on the data source sources to form a measurable performance parameter set and a non-measurable performance parameter set;
step S3, collecting the data source of the performance parameter in the measurable performance parameter set to form a measurable performance parameter source mapping set;
step S4, obtaining a measurable performance parameter calculation model based on the measurable performance parameter source mapping set and the corresponding performance index calculation formula;
step S5, constructing a device mechanism model based on the device operation data, and acquiring the performance parameters in the non-measurable performance parameter set;
step S6, mapping the non-measurable performance parameters calculated by the mechanism model and the non-measurable performance parameters correspondingly needed by the calibration report to form a non-measurable performance parameter mapping set;
and step S7, packaging the measurable performance parameter source mapping set, the measurable performance parameter calculation model, the device mechanism model and the non-measurable performance parameter mapping set to obtain the coal gasification device calibration model.
3. The coal gasification device on-line calibration method according to claim 2, wherein the device mechanism model construction process comprises the following steps:
a1, collecting design data and operation data of a coal gasification device, and preprocessing the operation data to form a sample database;
step a2, performing working condition clustering on the data in the sample database to form a working condition data set;
step a3, based on the working condition data set, respectively constructing device mechanism models corresponding to different working conditions by adopting a flow simulation technology.
4. The coal gasification device online calibration method according to claim 1, wherein the coal gasification device is calibrated according to the following modes:
when any one obtained performance parameter value is larger than a preset performance parameter threshold value corresponding to any one performance parameter, calibrating that any one performance parameter value of the coal gasification device exceeds the standard; otherwise, any performance parameter value of the calibrated coal gasification device does not exceed the standard.
5. The coal gasification apparatus online calibration method according to claim 1, wherein the online processing is at least one processing operation of online browsing, editing, checking, exporting, and storing.
6. An online calibration system for a coal gasification apparatus, which implements the online calibration method for a coal gasification apparatus according to claim 1, is characterized by comprising:
the data acquisition module is used for acquiring calibration data required by the calibration coal gasification device;
and the coal gasification device calibration model is used for obtaining a coal gasification device calibration result based on the calibration data obtained by the data acquisition module.
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