CN116520709A - Operation optimization device and operation optimization method for energy power system - Google Patents
Operation optimization device and operation optimization method for energy power system Download PDFInfo
- Publication number
- CN116520709A CN116520709A CN202310717282.6A CN202310717282A CN116520709A CN 116520709 A CN116520709 A CN 116520709A CN 202310717282 A CN202310717282 A CN 202310717282A CN 116520709 A CN116520709 A CN 116520709A
- Authority
- CN
- China
- Prior art keywords
- analysis
- power system
- data
- energy power
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000005457 optimization Methods 0.000 title claims abstract description 61
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000004458 analytical method Methods 0.000 claims abstract description 123
- 238000007405 data analysis Methods 0.000 claims abstract description 31
- 238000013500 data storage Methods 0.000 claims abstract description 5
- 238000005265 energy consumption Methods 0.000 claims description 41
- 238000005057 refrigeration Methods 0.000 claims description 36
- 238000010835 comparative analysis Methods 0.000 claims description 25
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 25
- 238000001816 cooling Methods 0.000 claims description 14
- 238000012423 maintenance Methods 0.000 claims description 12
- 238000004140 cleaning Methods 0.000 claims description 6
- 238000013480 data collection Methods 0.000 claims description 6
- 230000004044 response Effects 0.000 claims description 6
- 238000012905 input function Methods 0.000 claims description 3
- 230000003993 interaction Effects 0.000 claims description 3
- 238000007710 freezing Methods 0.000 claims 1
- 230000008014 freezing Effects 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 10
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Air Conditioning Control Device (AREA)
Abstract
本发明提供一种能源动力系统的运行优化装置及运行优化方法。运行优化方法包括以下步骤:采集目标能源动力系统的运行数据;将采集到的运行数据保存为数据集;根据所述目标能源动力系统的类型确定相应的数据分析方法,并根据该数据分析方法和所述数据集对所述目标能源动力系统的预定分析项进行分析,以获取分析结果;根据所述分析结果对所述目标能源动力系统的运行进行优化控制。运行优化装置包括一一对应地实现上述各个步骤的数据采集模块、数据保存模块、数据分析模块和优化控制模块。根据本发明,能够有效地解决现有的能源动力系统因其控制逻辑而无法实现高效节能运行的问题。
The invention provides an operation optimization device and an operation optimization method of an energy power system. The operation optimization method includes the following steps: collecting the operation data of the target energy power system; saving the collected operation data as a data set; determining the corresponding data analysis method according to the type of the target energy power system, and according to the data analysis method and The data set analyzes predetermined analysis items of the target energy power system to obtain analysis results; and optimizes the operation of the target energy power system according to the analysis results. The operation optimization device includes a data acquisition module, a data storage module, a data analysis module and an optimization control module that realize the above-mentioned steps in one-to-one correspondence. According to the present invention, the problem that the existing energy power system cannot realize high-efficiency and energy-saving operation due to its control logic can be effectively solved.
Description
技术领域technical field
本发明属于系统运行优化控制领域,更具体地,涉及一种能源动力系统的运行优化装置及运行优化方法。The invention belongs to the field of system operation optimization control, and more specifically relates to an operation optimization device and an operation optimization method of an energy power system.
背景技术Background technique
现有的能源动力系统,例如制冷系统、制热系统、空压系统和真空系统等,通常采用PLC或DDC等传统控制设备进行系统控制,具体地,在控制设器内使用编程语言编写常规控制逻辑,以实现相应设备的启停、变频等操作。Existing energy and power systems, such as refrigeration systems, heating systems, air compression systems, and vacuum systems, usually use traditional control equipment such as PLC or DDC for system control. Specifically, programming languages are used to write conventional control equipment in the control equipment Logic, in order to realize the start-stop, frequency conversion and other operations of the corresponding equipment.
然而,现有能源动力系统的控制逻辑以安全运行为主,需要人工干预或调整才能达到节能运行的目的;无法从全局考虑系统是否处在最佳运行工况;不具备运行数据分析功能,无法判断系统运行是否节能。However, the control logic of the existing energy power system is mainly based on safe operation, and manual intervention or adjustment is required to achieve the goal of energy-saving operation; it is impossible to consider whether the system is in the best operating condition from the overall perspective; Determine whether the system is running in energy-saving mode.
发明内容Contents of the invention
本发明的目的在于解决现有的能源动力系统因其控制逻辑而无法实现高效节能运行的问题。The purpose of the present invention is to solve the problem that the existing energy power system cannot realize high-efficiency and energy-saving operation due to its control logic.
为了实现上述目的,本发明提供一种能源动力系统的运行优化装置及运行优化方法。In order to achieve the above object, the present invention provides an operation optimization device and an operation optimization method for an energy power system.
根据本发明的第一方面,提供一种能源动力系统的运行优化装置,该运行优化装置包括:According to the first aspect of the present invention, there is provided an operation optimization device for an energy power system, the operation optimization device includes:
数据采集模块,用于采集目标能源动力系统的运行数据;The data collection module is used to collect the operation data of the target energy power system;
数据保存模块,用于将采集到的运行数据保存为数据集;A data saving module, configured to save the collected operating data as a data set;
数据分析模块,用于根据所述目标能源动力系统的类型确定相应的数据分析方法,并根据该数据分析方法和所述数据集对所述目标能源动力系统的预定分析项进行分析,以获取分析结果;A data analysis module, configured to determine a corresponding data analysis method according to the type of the target energy power system, and analyze predetermined analysis items of the target energy power system according to the data analysis method and the data set, so as to obtain an analysis result;
优化控制模块,用于根据所述分析结果对所述目标能源动力系统的运行进行优化控制。An optimization control module, configured to perform optimal control on the operation of the target energy power system according to the analysis results.
作为可选的是,所述数据采集模块具体用于根据预设的采集频率采集所述目标能源动力系统的运行数据,所述运行数据包括控制系统的运行数据和各个传感器的运行数据。Optionally, the data collection module is specifically configured to collect the operation data of the target energy power system according to a preset collection frequency, and the operation data includes the operation data of the control system and the operation data of each sensor.
作为可选的是,所述数据保存模块具体用于根据先进先出的原则更新所述数据集,以使所述数据集的时间长度等于预设的时间长度或者使所述数据集的数据体量等于预设的数据体量。Optionally, the data saving module is specifically configured to update the data set according to the principle of first-in-first-out, so that the time length of the data set is equal to the preset time length or the data volume of the data set The amount is equal to the preset data volume.
作为可选的是,所述目标能源动力系统的预定分析项包括系统性能分析、系统能效分析、系统能耗分析、系统内设备性能分析、系统内设备能耗分析、系统内设备能效分析、系统内设备性能对比分析、系统内设备能耗对比分析、系统内设备能效对比分析和系统内设备维护分析。Optionally, the predetermined analysis items of the target energy power system include system performance analysis, system energy efficiency analysis, system energy consumption analysis, system equipment performance analysis, system equipment energy consumption analysis, system equipment energy efficiency analysis, system Comparative analysis of internal equipment performance, comparative analysis of energy consumption of equipment within the system, comparative analysis of energy efficiency of equipment within the system, and maintenance analysis of equipment within the system.
作为可选的是,若所述目标能源动力系统为制冷系统,则所述系统性能分析包括冷冻水供水的温度及温度波动分析、冷冻水回水的温度及温度波动分析和冷冻水供回水温差及温差波动分析;As an option, if the target energy power system is a refrigeration system, the system performance analysis includes the temperature and temperature fluctuation analysis of the chilled water supply, the temperature and temperature fluctuation analysis of the chilled water return water, and the chilled water supply and return water Temperature difference and temperature difference fluctuation analysis;
和/或,若所述目标能源动力系统为制冷系统,则所述系统能效分析包括制冷系统的综合能效比分析;And/or, if the target energy power system is a refrigeration system, the system energy efficiency analysis includes a comprehensive energy efficiency ratio analysis of the refrigeration system;
和/或,若所述目标能源动力系统为制冷系统,则所述系统内设备能耗分析包括制冷主机的能耗分析、冷却塔的能耗分析、冷却泵的能耗分析、一次泵的能耗分析和二次泵的能耗分析;And/or, if the target energy power system is a refrigeration system, the energy consumption analysis of the equipment in the system includes the energy consumption analysis of the refrigeration host, the energy consumption analysis of the cooling tower, the energy consumption analysis of the cooling pump, and the energy consumption analysis of the primary pump. Energy consumption analysis and secondary pump energy consumption analysis;
和/或,若所述目标能源动力系统为制冷系统,则所述系统内设备能耗对比分析包括制冷主机、冷却塔、冷却泵、一次泵和二次泵的能耗对比分析;And/or, if the target energy power system is a refrigeration system, the comparative analysis of energy consumption of equipment in the system includes comparative analysis of energy consumption of refrigeration hosts, cooling towers, cooling pumps, primary pumps and secondary pumps;
和/或,若所述目标能源动力系统为制冷系统,所述系统内设备能效对比分析包括各个制冷主机之间的能效比对比分析;And/or, if the target energy power system is a refrigeration system, the comparative analysis of energy efficiency of equipment in the system includes comparative analysis of energy efficiency ratios between various refrigeration hosts;
和/或,若所述目标能源动力系统为制冷系统,则所述系统内设备维护分析包括制冷主机冷凝器清洗维护分析和制冷主机蒸发器的清洗维护分析。And/or, if the target energy power system is a refrigeration system, the maintenance analysis of the equipment in the system includes the cleaning and maintenance analysis of the condenser of the refrigeration main engine and the cleaning and maintenance analysis of the evaporator of the refrigeration main engine.
作为可选的是,所述优化控制模块具体用于根据所述分析结果生成相应的控制指令并发送至所述控制系统和/或相应的传感器。Optionally, the optimization control module is specifically configured to generate corresponding control instructions according to the analysis results and send them to the control system and/or corresponding sensors.
作为可选的是,所述运行优化装置还包括:As an option, the operation optimization device also includes:
分析结果输出模块,用于响应于分析结果输出指令,将所述分析结果以报告和/或图表的形式进行输出。The analysis result output module is configured to output the analysis results in the form of reports and/or charts in response to the analysis result output instruction.
作为可选的是,所述运行优化装置还包括:As an option, the operation optimization device also includes:
功能扩展模块,用于根据输入的功能扩展配置文件对所述数据分析模块进行数据分析功能扩展。A function extension module, configured to extend the data analysis function of the data analysis module according to the input function extension configuration file.
作为可选的是,所述运行优化装置还包括:As an option, the operation optimization device also includes:
用户交互模块,用于向用户展示所述分析结果以及响应于用户的操作修改所述运行优化装置的工作参数。The user interaction module is used to display the analysis results to the user and modify the working parameters of the operation optimization device in response to the user's operation.
根据本发明的第二方面,提供一种能源动力系统的运行优化方法,该运行优化方法包括以下步骤:According to a second aspect of the present invention, there is provided an operation optimization method of an energy power system, the operation optimization method comprising the following steps:
采集目标能源动力系统的运行数据;Collect the operating data of the target energy power system;
将采集到的运行数据保存为数据集;Save the collected running data as a data set;
根据所述目标能源动力系统的类型确定相应的数据分析方法,并根据该数据分析方法和所述数据集对所述目标能源动力系统的预定分析项进行分析,以获取分析结果;Determine a corresponding data analysis method according to the type of the target energy power system, and analyze predetermined analysis items of the target energy power system according to the data analysis method and the data set to obtain analysis results;
根据所述分析结果对所述目标能源动力系统的运行进行优化控制。Optimal control is performed on the operation of the target energy power system according to the analysis results.
本发明的有益效果在于:The beneficial effects of the present invention are:
本发明的能源动力系统的运行优化装置,通过数据采集模块采集目标能源动力系统的运行数据;通过数据保存模块将采集到的运行数据保存为数据集;通过数据分析模块根据所述目标能源动力系统的类型确定相应的数据分析方法,并根据该数据分析方法和所述数据集对所述目标能源动力系统的预定分析项进行分析,以获取分析结果;通过优化控制模块根据所述分析结果对所述目标能源动力系统的运行进行优化控制,进而实现能源动力系统的高效节能运行。The operation optimization device of the energy power system of the present invention collects the operation data of the target energy power system through the data acquisition module; saves the collected operation data as a data set through the data preservation module; Determine the corresponding data analysis method according to the type of the data analysis method, and analyze the predetermined analysis items of the target energy power system according to the data analysis method and the data set, so as to obtain the analysis results; through the optimization control module according to the analysis results. The operation of the target energy power system is optimized and controlled, and then the energy-saving operation of the energy power system is realized.
本发明的能源动力系统的运行优化方法与上述能源动力系统的运行优化装置属于一个总的发明构思,至少具有与上述能源动力系统的运行优化装置相同的有益效果,其有益效果在此不再赘述。The operation optimization method of the energy power system of the present invention and the above-mentioned operation optimization device of the energy power system belong to a general inventive concept, and at least have the same beneficial effects as the above-mentioned operation optimization device of the energy power system, and the beneficial effects will not be repeated here. .
本发明的其他特征和优点将在随后具体实施方式部分予以详细说明。Other features and advantages of the present invention will be described in detail in the detailed description that follows.
附图说明Description of drawings
本发明可以通过参考下文中结合附图所做出的描述而得到更好的理解,其中在所有附图中使用了相同或相似的附图标记来表示相同或者相似的部件。The present invention can be better understood by referring to the following description taken in conjunction with the accompanying drawings, wherein the same or similar reference numerals are used throughout to designate the same or similar parts.
图1示出了根据本发明的实施例的能源动力系统的运行优化装置的结构框图;Fig. 1 shows a structural block diagram of an operation optimization device of an energy power system according to an embodiment of the present invention;
图2示出了根据本发明的实施例的冷冻水相关分析结果示意图;Fig. 2 shows a schematic diagram of the analysis results related to chilled water according to an embodiment of the present invention;
图3示出了根据本发明的实施例的系统内设备能耗对比分析结果示意图;Fig. 3 shows a schematic diagram of comparative analysis results of energy consumption of devices in the system according to an embodiment of the present invention;
图4示出了根据本发明的实施例的系统能效分析结果示意图;FIG. 4 shows a schematic diagram of system energy efficiency analysis results according to an embodiment of the present invention;
图5示出了根据本发明的实施例的不同制冷主机的能效比对比分析结果示意图;Fig. 5 shows a schematic diagram of comparative analysis results of energy efficiency ratios of different refrigeration hosts according to an embodiment of the present invention;
图6示出了根据本发明的实施例的能源动力系统的运行优化方法的实现流程图。Fig. 6 shows a flowchart of an implementation of an operation optimization method for an energy power system according to an embodiment of the present invention.
具体实施方式Detailed ways
为了使所属技术领域的技术人员能够更充分地理解本发明的技术方案,在下文中将结合附图对本发明的示例性的实施方式进行更为全面且详细的描述。显然地,以下描述的本发明的一个或者多个实施方式仅仅是能够实现本发明的技术方案的具体方式中的一种或者多种,并非穷举。应当理解的是,可以采用属于一个总的发明构思的其他方式来实现本发明的技术方案,而不应当被示例性描述的实施方式所限制。基于本发明的一个或多个实施方式,本领域的普通技术人员在没有做出创造性劳动的前提下所获得的所有其他实施方式,都应当属于本发明保护的范围。In order to enable those skilled in the art to more fully understand the technical solution of the present invention, an exemplary embodiment of the present invention will be described in more detail below in conjunction with the accompanying drawings. Apparently, one or more implementations of the present invention described below are only one or more specific ways to realize the technical solutions of the present invention, and are not exhaustive. It should be understood that the technical solutions of the present invention can be implemented in other ways belonging to a general inventive concept, and should not be limited by the exemplary described embodiments. Based on one or more implementations of the present invention, all other implementations obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
实施例:图1示出了本发明实施例的能源动力系统的运行优化装置的结构框图。参照图1,本发明实施例的能源动力系统的运行优化装置包括:Embodiment: FIG. 1 shows a structural block diagram of an operation optimization device for an energy power system according to an embodiment of the present invention. Referring to Fig. 1, the operation optimization device of the energy power system of the embodiment of the present invention includes:
数据采集模块,用于采集目标能源动力系统的运行数据;The data collection module is used to collect the operation data of the target energy power system;
数据保存模块,用于将采集到的运行数据保存为数据集;A data saving module, configured to save the collected operating data as a data set;
数据分析模块,用于根据目标能源动力系统的类型确定相应的数据分析方法,并根据该数据分析方法和数据集对目标能源动力系统的预定分析项进行分析,以获取分析结果;The data analysis module is used to determine the corresponding data analysis method according to the type of the target energy power system, and analyze the predetermined analysis items of the target energy power system according to the data analysis method and the data set, so as to obtain the analysis results;
优化控制模块,用于根据分析结果对目标能源动力系统的运行进行优化控制。The optimization control module is used for optimizing the operation of the target energy power system according to the analysis results.
进一步地,本发明实施例中,数据采集模块具体用于根据预设的采集频率采集目标能源动力系统的运行数据,该运行数据包括目标能源动力系统的控制系统的运行数据和目标能源动力系统的各个传感器的运行数据。Further, in the embodiment of the present invention, the data collection module is specifically used to collect the operation data of the target energy power system according to the preset collection frequency, and the operation data includes the operation data of the control system of the target energy power system and the target energy power system. The operating data of each sensor.
具体地,本发明实施例中,数据采集模块同时与目标能源动力系统的控制系统和传感器电性连接,以定时收集控制系统和传感器的运行数据;优化控制模块同时与目标能源动力系统的控制系统和传感器电性连接,以下发控制命令和控制参数到目标能源动力系统的控制系统和传感器,从而将分析结果反馈到实时控制中,进而实现优化运行,减少故障,提升能效。Specifically, in the embodiment of the present invention, the data acquisition module is electrically connected with the control system and sensors of the target energy power system at the same time, so as to regularly collect the operating data of the control system and sensors; the optimization control module is simultaneously connected with the control system of the target energy power system Electrically connected with the sensor, the control command and control parameters are sent to the control system and sensor of the target energy power system, so that the analysis result is fed back to the real-time control, so as to realize optimized operation, reduce faults, and improve energy efficiency.
具体地,本发明实施例中,数据分析模块内预存有不同目标能源动力系统类型的数据分析方法,支持多类型能源动力系统的运行优化控制。Specifically, in the embodiment of the present invention, data analysis methods of different target energy and power system types are pre-stored in the data analysis module to support operation optimization control of multiple types of energy and power systems.
再进一步地,本发明实施例中,数据保存模块具体用于根据先进先出的原则更新数据集,以使数据集的时间长度等于预设的时间长度或者使数据集的数据体量等于预设的数据体量。Furthermore, in the embodiment of the present invention, the data saving module is specifically used to update the data set according to the principle of first-in-first-out, so that the time length of the data set is equal to the preset time length or the data volume of the data set is equal to the preset data volume.
具体地,本发明实施例中,数据保存模块采用固定时间长度模式对采集到的运行数据进行存储,具体地,系统初始化后,数据保存模块将预设时间长度内采集到的运行数据保存为初始数据集,在获取初始数据集之后,当后续采集到运行数据时,基于数据先进先出的原则对初始数据集进行更新,以使数据集的时长长度始终保持为预设时间长度;或者,数据保存模块采用固定数据体量模式对采集到的运行数据进行存储,具体地,系统初始化后,数据保存模块将采集到的预设体量的运行数据保存为初始数据集,在获取初始数据集之后,当后续采集到运行数据时,基于数据先进先出的原则对初始数据集进行更新,以使数据集的数据体量终保持为预设体量;对于上述两种运行数据存储方式,当基于先进先出的原则对数据集进行更新之后,将移出数据集的数据以文件或者数据库的形式保存在本地。Specifically, in the embodiment of the present invention, the data storage module uses a fixed time length mode to store the collected operation data. Specifically, after the system is initialized, the data storage module saves the operation data collected within the preset time length as the initial Data set, after the initial data set is acquired, when the running data is subsequently collected, the initial data set is updated based on the principle of first-in-first-out data, so that the duration of the data set is always kept at the preset time length; or, the data The saving module uses the fixed data volume mode to store the collected operating data. Specifically, after the system is initialized, the data saving module saves the collected operating data of the preset volume as an initial data set. After obtaining the initial data set , when the operation data is subsequently collected, the initial data set is updated based on the principle of data first-in-first-out, so that the data volume of the data set will eventually remain at the preset volume; for the above two operation data storage methods, when based on After the data set is updated according to the first-in-first-out principle, the data removed from the data set is saved locally in the form of files or databases.
再进一步地,本发明实施例中,目标能源动力系统的预定分析项包括系统性能分析、系统能效分析、系统能耗分析、系统内设备性能分析、系统内设备能耗分析、系统内设备能效分析、系统内设备性能对比分析、系统内设备能耗对比分析、系统内设备能效对比分析和系统内设备维护分析。Furthermore, in the embodiment of the present invention, the predetermined analysis items of the target energy power system include system performance analysis, system energy efficiency analysis, system energy consumption analysis, system equipment performance analysis, system equipment energy consumption analysis, and system equipment energy efficiency analysis , Comparative analysis of equipment performance in the system, comparative analysis of energy consumption of equipment in the system, comparative analysis of energy efficiency of equipment in the system, and analysis of equipment maintenance in the system.
具体地,本发明实施例中,目标能源动力系统为制冷系统,系统性能分析包括冷冻水供水的温度及温度波动分析、冷冻水回水的温度及温度波动分析和冷冻水供回水温差及温差波动分析;系统能效分析包括制冷系统的综合能效比分析;系统内设备能耗分析包括制冷主机的能耗分析、冷却塔的能耗分析、冷却泵的能耗分析、一次泵的能耗分析和二次泵的能耗分析;系统内设备能耗对比分析包括制冷主机、冷却塔、冷却泵、一次泵和二次泵的能耗对比分析;系统内设备能效对比分析包括各个制冷主机之间的能效比对比分析;系统内设备维护分析包括制冷主机冷凝器清洗维护分析和制冷主机蒸发器的清洗维护分析。Specifically, in the embodiment of the present invention, the target energy power system is a refrigeration system, and the system performance analysis includes the temperature and temperature fluctuation analysis of the chilled water supply, the temperature and temperature fluctuation analysis of the chilled water return water, and the temperature difference between the chilled water supply and return water and the temperature difference Fluctuation analysis; system energy efficiency analysis includes the comprehensive energy efficiency ratio analysis of the refrigeration system; system equipment energy consumption analysis includes the energy consumption analysis of the refrigeration host, the energy consumption analysis of the cooling tower, the energy consumption analysis of the cooling pump, the energy consumption analysis of the primary pump and Energy consumption analysis of secondary pumps; comparative analysis of equipment energy consumption in the system includes comparative analysis of energy consumption of refrigeration hosts, cooling towers, cooling pumps, primary pumps and secondary pumps; comparative analysis of energy efficiency of equipment in the system includes Comparative analysis of energy efficiency ratio; analysis of equipment maintenance in the system includes cleaning and maintenance analysis of the condenser of the refrigeration main unit and cleaning and maintenance analysis of the evaporator of the refrigeration main unit.
图2示出了本发明实施例的冷冻水相关分析结果示意图,其中,横坐标为日期区间,纵坐标为温度。根据图2,能够获取每日的冷冻水供水温度、冷冻水回水温度和冷冻水供回水温差,以及冷冻水供水温度、冷冻水回水温度和冷冻水供回水温差随时间的变化趋势。当冷冻水供水温度满足预设的冷冻水供水温度且波动较小时,说明制冷系统的性能较好。FIG. 2 shows a schematic diagram of analysis results related to chilled water according to an embodiment of the present invention, wherein the abscissa is the date range, and the ordinate is the temperature. According to Figure 2, the daily chilled water supply temperature, chilled water return temperature and chilled water supply and return temperature difference can be obtained, as well as the change trend of chilled water supply temperature, chilled water return temperature and chilled water supply and return temperature difference over time . When the chilled water supply temperature meets the preset chilled water supply temperature and the fluctuation is small, it indicates that the performance of the refrigeration system is good.
图3示出了本发明实施例的系统内设备能耗对比分析结果示意图,其中,横坐标为日期;纵坐标为能耗,单位为kW;横坐标上的每个日期就对应有五条柱状线,依次代表制冷主机、冷却塔、冷却泵、一次泵和二次泵的能耗。根据图3,能够判断各部件能耗是否合理,是否有部件的能耗异常。Figure 3 shows a schematic diagram of the results of comparative analysis of energy consumption of equipment in the system according to an embodiment of the present invention, where the abscissa is the date; the ordinate is the energy consumption in kW; each date on the abscissa corresponds to five columnar lines , representing the energy consumption of the refrigeration host, cooling tower, cooling pump, primary pump and secondary pump in turn. According to FIG. 3 , it can be judged whether the energy consumption of each component is reasonable, and whether the energy consumption of any component is abnormal.
图4示出了本发明实施例的系统能效分析结果示意图,其中,横坐标为日期,左侧纵坐标为系统综合能效比,右侧纵坐标为室外温球温度。根据图4,能够获取系统综合能效比的变化趋势,用来判断系统能效水平。Fig. 4 shows a schematic diagram of the system energy efficiency analysis results of the embodiment of the present invention, wherein the abscissa is the date, the left ordinate is the comprehensive energy efficiency ratio of the system, and the right ordinate is the outdoor temperature of the bulb. According to Figure 4, the change trend of the system comprehensive energy efficiency ratio can be obtained to judge the system energy efficiency level.
图5示出了本发明实施例的不同制冷主机的能效比对比分析结果示意图,其中,横坐标为负载,单位为kW;两个纵坐标均为制冷主机能效比。根据图5,能够获取不同制冷主机的能效比对比情况。Fig. 5 shows a schematic diagram of comparative analysis results of energy efficiency ratios of different refrigerating hosts according to an embodiment of the present invention, wherein the abscissa is the load, and the unit is kW; the two ordinates are the energy efficiency ratios of the refrigerating hosts. According to Figure 5, the energy efficiency ratio comparison of different refrigeration hosts can be obtained.
具体地,本发明实施例中,对于制冷主机,通过分析冷凝器最小换热温差和蒸发器最小换热温差判断冷凝器和蒸发器是否需要清洗,是否需要维护。Specifically, in the embodiment of the present invention, for the refrigeration host, it is determined whether the condenser and the evaporator need to be cleaned or maintained by analyzing the minimum heat transfer temperature difference of the condenser and the minimum heat transfer temperature difference of the evaporator.
再进一步地,本发明实施例中,优化控制模块具体用于根据分析结果生成相应的控制指令并发送至控制系统和/或相应的传感器。Still further, in the embodiment of the present invention, the optimization control module is specifically configured to generate corresponding control instructions according to the analysis results and send them to the control system and/or corresponding sensors.
再进一步地,本发明实施例的能源动力系统的运行优化装置还包括:Still further, the operation optimization device of the energy power system in the embodiment of the present invention also includes:
分析结果输出模块,用于响应于分析结果输出指令,将分析结果以报告和/或图表的形式进行输出。The analysis result output module is configured to output the analysis results in the form of reports and/or charts in response to the analysis result output instruction.
具体地,本发明实施例中,分析结果输出模块内预存有多种报告模板和图表模板,当接收到分析结果输出指令时,分析结果输出模块确定相应的报告模板和/或图表模板,再根据报告模板和/或图表模板,并基于分析结果生成相应的分析结果报告和/或分析结果图表。Specifically, in the embodiment of the present invention, various report templates and chart templates are pre-stored in the analysis result output module. When receiving an analysis result output instruction, the analysis result output module determines the corresponding report template and/or chart template, and then according to report templates and/or chart templates, and generate corresponding analysis result reports and/or analysis result charts based on the analysis results.
再进一步地,本发明实施例的能源动力系统的运行优化装置还包括:Still further, the operation optimization device of the energy power system in the embodiment of the present invention also includes:
功能扩展模块,用于根据输入的功能扩展配置文件对所述数据分析模块进行数据分析功能扩展。A function extension module, configured to extend the data analysis function of the data analysis module according to the input function extension configuration file.
具体地,本发明实施例中,功能扩展模块还用于对数据分析模块内现存的数据分析方法进行优化和删除。Specifically, in the embodiment of the present invention, the function expansion module is also used to optimize and delete the existing data analysis method in the data analysis module.
再进一步地,本发明实施例的能源动力系统的运行优化装置还包括:Still further, the operation optimization device of the energy power system in the embodiment of the present invention also includes:
用户交互模块,用于向用户展示所述分析结果以及响应于用户的操作修改所述运行优化装置的工作参数。The user interaction module is used to display the analysis results to the user and modify the working parameters of the operation optimization device in response to the user's operation.
相应地,在本发明实施例提出的能源动力系统的运行优化装置的基础上,本发明实施例还提出了一种能源动力系统的运行优化方法,该运行优化方法基于本发明实施例提出的能源动力系统的运行优化装置所实现。Correspondingly, on the basis of the operation optimization device for the energy power system proposed by the embodiment of the present invention, the embodiment of the present invention also proposes an operation optimization method for the energy power system. The operation optimization method is based on the energy It is realized by the operation optimization device of the power system.
图6示出了本发明实施例的能源动力系统的运行优化方法的实现流程图。参照图6,本发明实施例的能源动力系统的运行优化方法包括以下步骤:Fig. 6 shows a flowchart for realizing the operation optimization method of the energy power system according to the embodiment of the present invention. Referring to Fig. 6, the operation optimization method of the energy power system according to the embodiment of the present invention includes the following steps:
步骤S100、采集目标能源动力系统的运行数据;Step S100, collecting operating data of the target energy power system;
步骤S200、将采集到的运行数据保存为数据集;Step S200, saving the collected operating data as a data set;
步骤S300、根据所述目标能源动力系统的类型确定相应的数据分析方法,并根据该数据分析方法和所述数据集对所述目标能源动力系统的预定分析项进行分析,以获取分析结果;Step S300: Determine a corresponding data analysis method according to the type of the target energy power system, and analyze predetermined analysis items of the target energy power system according to the data analysis method and the data set to obtain analysis results;
步骤S400、根据所述分析结果对所述目标能源动力系统的运行进行优化控制。Step S400, perform optimal control on the operation of the target energy power system according to the analysis result.
本发明实施例的能源动力系统的运行优化方法主要针对工厂的能源动力设备的控制系统,使用在线分析的方法,给出目前能源动力设备的运行情况、能效水平和故障等分析结果,并根据优化规则和策略,反馈给控制系统,达到实时分析与优化的目的。The operation optimization method of the energy power system in the embodiment of the present invention is mainly aimed at the control system of the energy power equipment of the factory, and uses the method of online analysis to give the analysis results of the current energy power equipment operation, energy efficiency level and failure, and according to the optimization Rules and strategies are fed back to the control system to achieve real-time analysis and optimization.
虽然以上对本发明的一个或者多个实施方式进行了描述,但是本领域的普通技术人员应当知晓,本发明能够在不偏离其主旨与范围的基础上通过任意的其他的形式得以实施。因此,以上描述的实施方式属于示意性的而非限制性的,在不脱离如所附各权利要求所定义的本发明精神及范围的情况下,对于本技术领域的普通技术人员而言许多修改和替换均具有显而易见性。Although one or more implementations of the present invention have been described above, those skilled in the art should know that the present invention can be implemented in any other form without departing from its spirit and scope. Accordingly, the embodiments described above are illustrative and not restrictive, and numerous modifications will be apparent to those skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims. and substitutions are obvious.
Claims (10)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310717282.6A CN116520709A (en) | 2023-06-16 | 2023-06-16 | Operation optimization device and operation optimization method for energy power system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202310717282.6A CN116520709A (en) | 2023-06-16 | 2023-06-16 | Operation optimization device and operation optimization method for energy power system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116520709A true CN116520709A (en) | 2023-08-01 |
Family
ID=87390421
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202310717282.6A Pending CN116520709A (en) | 2023-06-16 | 2023-06-16 | Operation optimization device and operation optimization method for energy power system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116520709A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117000740A (en) * | 2023-08-30 | 2023-11-07 | 湖北中烟工业有限责任公司 | Tobacco waste treatment system and method |
Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130167560A1 (en) * | 2010-10-13 | 2013-07-04 | Weldtech Technology (Shanghai) Co., Ltd. | Energy-saving optimized control system and method for refrigeration plant room |
CN104091042A (en) * | 2014-06-15 | 2014-10-08 | 西南交通大学 | Operating data-based method for energy conservation diagnosis and energy conservation potential analysis on central air-conditioning system |
CN109426205A (en) * | 2017-09-05 | 2019-03-05 | 万洲电气股份有限公司 | A kind of industrial intelligent Optimization of Energy Saving system |
CN110298488A (en) * | 2019-05-31 | 2019-10-01 | 武汉烽火富华电气有限责任公司 | A kind of multi-energy data analysis method and system based on data mining |
CN111578453A (en) * | 2020-05-08 | 2020-08-25 | 浙江大冲能源科技有限公司 | A cooling water optimization control system and method based on big data analysis |
CN111612214A (en) * | 2020-04-17 | 2020-09-01 | 明阳智慧能源集团股份公司 | Load side intelligence management and control system |
CN112445169A (en) * | 2020-11-27 | 2021-03-05 | 浙江先博节能科技有限公司 | Energy power equipment management system and method based on industrial Internet of things cloud platform |
CN112987617A (en) * | 2021-03-15 | 2021-06-18 | 国网电力科学研究院武汉能效测评有限公司 | Near-zero energy consumption building digital management system and energy efficiency monitoring method |
CN113722889A (en) * | 2021-08-05 | 2021-11-30 | 武汉卓尔信息科技有限公司 | Energy efficiency online analysis system and method based on artificial intelligence |
CN113918322A (en) * | 2021-09-09 | 2022-01-11 | 芯华章科技股份有限公司 | Method and equipment for dynamically storing simulation data of logic system design in memory |
CN115248979A (en) * | 2022-07-28 | 2022-10-28 | 西安思安云创科技有限公司 | Distributed energy system collaborative optimization method |
CN115983582A (en) * | 2022-12-28 | 2023-04-18 | 普天通信有限责任公司 | Data analysis method and energy consumption management system |
CN116109152A (en) * | 2023-01-13 | 2023-05-12 | 东方电气风电股份有限公司 | System and method for evaluating effectiveness of power-added and upgraded product of wind generating set |
CN116244290A (en) * | 2023-02-23 | 2023-06-09 | 广州智慧能源服务有限公司 | Intelligent energy consumption analysis system and method |
-
2023
- 2023-06-16 CN CN202310717282.6A patent/CN116520709A/en active Pending
Patent Citations (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130167560A1 (en) * | 2010-10-13 | 2013-07-04 | Weldtech Technology (Shanghai) Co., Ltd. | Energy-saving optimized control system and method for refrigeration plant room |
CN104091042A (en) * | 2014-06-15 | 2014-10-08 | 西南交通大学 | Operating data-based method for energy conservation diagnosis and energy conservation potential analysis on central air-conditioning system |
CN109426205A (en) * | 2017-09-05 | 2019-03-05 | 万洲电气股份有限公司 | A kind of industrial intelligent Optimization of Energy Saving system |
CN110298488A (en) * | 2019-05-31 | 2019-10-01 | 武汉烽火富华电气有限责任公司 | A kind of multi-energy data analysis method and system based on data mining |
CN111612214A (en) * | 2020-04-17 | 2020-09-01 | 明阳智慧能源集团股份公司 | Load side intelligence management and control system |
CN111578453A (en) * | 2020-05-08 | 2020-08-25 | 浙江大冲能源科技有限公司 | A cooling water optimization control system and method based on big data analysis |
CN112445169A (en) * | 2020-11-27 | 2021-03-05 | 浙江先博节能科技有限公司 | Energy power equipment management system and method based on industrial Internet of things cloud platform |
CN112987617A (en) * | 2021-03-15 | 2021-06-18 | 国网电力科学研究院武汉能效测评有限公司 | Near-zero energy consumption building digital management system and energy efficiency monitoring method |
CN113722889A (en) * | 2021-08-05 | 2021-11-30 | 武汉卓尔信息科技有限公司 | Energy efficiency online analysis system and method based on artificial intelligence |
CN113918322A (en) * | 2021-09-09 | 2022-01-11 | 芯华章科技股份有限公司 | Method and equipment for dynamically storing simulation data of logic system design in memory |
CN115248979A (en) * | 2022-07-28 | 2022-10-28 | 西安思安云创科技有限公司 | Distributed energy system collaborative optimization method |
CN115983582A (en) * | 2022-12-28 | 2023-04-18 | 普天通信有限责任公司 | Data analysis method and energy consumption management system |
CN116109152A (en) * | 2023-01-13 | 2023-05-12 | 东方电气风电股份有限公司 | System and method for evaluating effectiveness of power-added and upgraded product of wind generating set |
CN116244290A (en) * | 2023-02-23 | 2023-06-09 | 广州智慧能源服务有限公司 | Intelligent energy consumption analysis system and method |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117000740A (en) * | 2023-08-30 | 2023-11-07 | 湖北中烟工业有限责任公司 | Tobacco waste treatment system and method |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110392515B (en) | Historical data-based cold and heat source machine room energy-saving control method and system | |
CN104134100B (en) | A cloud-based energy-saving management system | |
CN114440410B (en) | Variable flow control method for freezing and cooling water pump based on heat exchange efficiency | |
CN100523635C (en) | Intelligent cluster control system of central air-conditioning | |
CN103062861B (en) | Energy-saving method and system for central air conditioner | |
CN115493256B (en) | Intelligent optimizing method for energy-saving operation of central refrigerating system | |
CN108990383A (en) | A kind of data center's air-conditioning system forecast Control Algorithm | |
CN202216364U (en) | Central air-conditioning intelligent network energy-saving control system | |
CN113915719B (en) | Real-time frequency conversion control method and controller for central air-conditioning water pump | |
CN106051959A (en) | Energy conservation optimization system for central air conditioner | |
CN118368877B (en) | Energy consumption optimization control method and system for refrigeration machine room system and network side server | |
CN212320021U (en) | Intelligent combined control system of modular cold and hot water air conditioning unit | |
CN116989430B (en) | Energy-saving optimization control method and system for refrigerating station | |
CN110940061A (en) | Central air conditioner control method and system | |
CN111271907A (en) | Intelligent air source heat pump control system and method based on big data technology | |
CN108731189A (en) | A kind of continuous Operation Optimization Systerm of central air-conditioning and method | |
CN118794108A (en) | Central air conditioning cooling station control system | |
CN114611288A (en) | Intelligent efficient computer room energy-saving algorithm model of central air-conditioning system | |
CN115049141A (en) | Control method and control device for refrigeration system and refrigeration system | |
CN118361827A (en) | Energy-saving optimization control method, system and network-side server for water-cooled central air conditioner | |
CN116520709A (en) | Operation optimization device and operation optimization method for energy power system | |
CN111125933B (en) | Correction method and system for simulation model of central air conditioner | |
CN105605748B (en) | Air-water joint adjustment control method and system for air conditioning system | |
CN118757945A (en) | Energy-saving control method and system for air source heat pump | |
CN117515808B (en) | Central air conditioning cold and heat source energy-saving intelligent control system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20230801 |
|
RJ01 | Rejection of invention patent application after publication |