CN111596643A - Visual dynamic energy consumption diagnosis, analysis and pre-control system based on big data - Google Patents
Visual dynamic energy consumption diagnosis, analysis and pre-control system based on big data Download PDFInfo
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- G05B23/00—Testing or monitoring of control systems or parts thereof
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- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
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Abstract
The invention discloses a visualized dynamic energy consumption diagnosis, analysis and pre-control system based on big data in the technical field of power grid safety, which comprises a generator set, a data acquisition module, a data receiving and processing module, a retrieval and processing module, a pre-control processing module, an alarm reminding module, an intelligent decision module and a visualized user interaction module, can accurately judge whether a generator set is in abnormal work or not, can also alarm abnormal work and analyze the reason of the abnormal work by simultaneously monitoring and analyzing energy consumption data of a thermal generator set and a clean energy generator set, and is convenient for workers to maintain, and the thermal generator set and the clean energy generator set are subjected to double monitoring and analysis, so that the whole system can accurately adjust the pre-control of the generator set, and the reduction of the power supply energy consumption of the thermal generator set is facilitated.
Description
Technical Field
The invention relates to the technical field of power grid safety, in particular to a visualized dynamic energy consumption diagnosis, analysis and pre-control system based on big data.
Background
With the continuous development of society, the dependence of social production and life on an electric power system is greater and greater, and the position of the basic energy of electric energy is more and more obvious. The operation of the power grid is more and more complex, the situation of safe production is severe, and the risk is increased.
The power supply coal consumption of the thermal power generating unit is a thermal performance index of the energy consumption level of the steam turbine generating unit in the thermal cycle process of power generation production, reflects the thermal performance perfection degree of the steam turbine generating unit and auxiliary equipment systems, and is a comprehensive index of the thermal performance of each main equipment, each auxiliary equipment and each system in the thermal system. The value of the power consumption of the power plant is therefore affected by many factors, most of which are technical and some are non-technical
With the macroscopic regulation and control of clean energy utilization in China, the proportion of the generated energy of clean energy such as nuclear power, hydropower and wind power in a power grid structure is larger and larger, the load rate of a thermal power generating unit is obviously reduced, and load-variable peak regulation becomes the normal operation mode of the conventional thermal power generating unit. The long-term variable load peak regulation causes the economic indexes of the thermal power generating unit to change frequently, and a high-efficiency energy-saving reference point is difficult to find, so that the power supply coal consumption of the thermal power generating unit is increased, the profitability of a thermal power generation enterprise is reduced, and the waste of coal resources is caused.
The prior patent No. CN201620810900.7 discloses a scheme of carrying out intelligent monitoring and pre-control to thermal generator set, but above-mentioned technique is only monitored and analyzed to thermal generator set, although the certain degree also plays supplementary management effect, its function should be perfect inadequately, because it can not carry out accurate judgement to thermal generator set abnormal work, because in the actual conditions, the energy consumption condition of thermal generator set and clean energy generating set two is corresponding to become certain law and changes, only combine the energy consumption data of the two to carry out the judgement that the analysis can be accurate thermal generator set whether normally works, prior art does not have this design.
Based on the above, the invention designs a visualized dynamic energy consumption diagnosis, analysis and pre-control system based on big data to solve the problems.
Disclosure of Invention
The invention aims to provide a visualized dynamic energy consumption diagnosis, analysis and pre-control system based on big data, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a visualized dynamic energy consumption diagnosis, analysis and pre-control system based on big data comprises a generator set, a data acquisition module, a data receiving and processing module, a retrieval processing module, a pre-control processing module, an alarm reminding module, an intelligent decision module and a visualized user interaction module;
the generator sets are classified into thermal generator sets and clean energy generator sets;
the data acquisition module is used for acquiring and transmitting energy consumption data of the generator set;
the data receiving and processing module is used for receiving the energy consumption data and carrying out format standardization processing on the energy consumption data;
the retrieval processing module is used for substituting the standardized energy consumption data into the corresponding energy consumption data physical model for calculation and transmitting the calculation result at the same time;
the pre-control processing module is used for receiving the energy consumption data calculation result, analyzing the calculation result and judging whether the generator set works abnormally or not;
the alarm reminding module is used for reminding workers of knowing that the generator set is in an abnormal working state and analyzing and displaying abnormal reasons;
the intelligent decision module autonomously analyzes the energy consumption calculation result and autonomously controls the generator set according to the analysis result;
the visual user interaction module is used for displaying the energy consumption data information, the energy consumption data physical model and the abnormal report of the generator set to a user and calling out the past energy consumption data model and information.
Preferably, the data acquisition module comprises sensors and a data transmission assembly, the sensors are divided into two groups, one group of sensors is used for detecting energy consumption data of the thermal generator set, and the other group of sensors is used for detecting energy consumption data of the clean energy generator set; the data transmission assembly is used for uploading energy consumption data detected by the sensor.
Preferably, the data receiving and processing module comprises a wireless receiver and a data formatting processor; the wireless receiver is used for energy consumption data transmitted by the data acquisition module; the data formatting processor is used for carrying out format standardization processing on the received energy consumption data of the generator set and transmitting the standardized data.
Preferably, the retrieval processing module comprises a database module, a retrieval module and a data analysis module, wherein the database module is used for storing physical models of energy consumption data of different generator sets in the past; the retrieval module is used for calling out an energy consumption data physical model of the corresponding generator set; and the data analysis module is used for receiving the energy consumption data after the standardization processing, substituting the standardized data into the corresponding energy consumption data physical model for calculation, and simultaneously transmitting the calculation result.
Preferably, the alarm reminding module comprises an alarm and an abnormal data analysis display, and when the pre-control processing module judges that the generator set is in abnormal work, the alarm reminding module receives the abnormal work calculation result and sends an alarm through the alarm to remind a worker to know the abnormal work calculation result; the abnormal data analysis display can analyze the abnormal work calculation result to obtain the general probability abnormal reason and display the abnormal data and the general probability abnormal reason on the display.
Preferably, the intelligent decision module comprises a decision module and an autonomous control module, when the pre-control processing module judges that the generator set is in non-abnormal work, the decision module receives a calculation result of the non-abnormal work, analyzes a reasonable adjustment scheme, and then autonomously controls the generator set through the autonomous control module.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, energy consumption data monitoring and analysis are simultaneously carried out on the thermal power generating unit and the clean energy generating unit, whether the thermal power generating unit is in abnormal work or not can be accurately judged, abnormal work can be alarmed and the reason of the abnormal work can be analyzed, so that the maintenance by workers is facilitated, and the thermal power generating unit and the clean energy generating unit are subjected to double monitoring and analysis, so that the pre-control adjustment of the whole system on the generating units is more accurate, and the reduction of the power supply energy consumption of the thermal power generating unit is facilitated.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of the present invention;
FIG. 2 is a schematic diagram of a data acquisition module according to the present invention;
FIG. 3 is a block diagram of a data receiving and processing module according to the present invention;
FIG. 4 is a block diagram of a retrieval module according to the present invention;
FIG. 5 is a schematic diagram of an alarm reminding module according to the present invention;
FIG. 6 is a schematic diagram of an intelligent decision module according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the present invention provides a technical solution: a visualized dynamic energy consumption diagnosis, analysis and pre-control system based on big data comprises a generator set, a data acquisition module, a data receiving and processing module, a retrieval processing module, a pre-control processing module, an alarm reminding module, an intelligent decision module and a visualized user interaction module;
the generator sets are classified into a thermal generator set and a clean energy generator set, and the accuracy of a detection result can be improved by bilateral monitoring;
the data acquisition module is used for acquiring and transmitting energy consumption data of the generator set;
the data receiving and processing module is used for receiving the energy consumption data and carrying out format standardization processing on the energy consumption data;
the retrieval processing module is used for substituting the standardized energy consumption data into the corresponding energy consumption data physical model for calculation and transmitting the calculation result at the same time;
the pre-control processing module is used for receiving the energy consumption data calculation result, analyzing the calculation result and judging whether the generator set works abnormally or not;
the alarm reminding module is used for reminding workers to know that the generator set is in an abnormal working state and analyzing and displaying abnormal reasons;
the intelligent decision module autonomously analyzes the energy consumption calculation result and autonomously controls the generator set according to the analysis result;
the visual user interaction module is used for displaying the energy consumption data information, the energy consumption data physical model and the abnormal report of the generator set to a user and calling out the past energy consumption data model and information.
As shown in fig. 2, the data acquisition module includes sensors and a data transmission component, the sensors are divided into two groups, one group of sensors is used for detecting energy consumption data of the thermal generator set, and the other group of sensors is used for detecting energy consumption data of the clean energy generator set; the data transmission component is used for uploading energy consumption data detected by the sensor.
As shown in fig. 3, the data receiving and processing module includes a wireless receiver and a data formatting processor; the wireless receiver is used for energy consumption data transmitted by the data acquisition module; the data formatting processor is used for carrying out format standardization processing on the received energy consumption data of the generator set and transmitting the standardized data.
As shown in fig. 4, the retrieval processing module includes a database module, a retrieval module, and a data analysis module, where the database module is used to store physical models of energy consumption data of different generator sets in the past; the retrieval module is used for calling out an energy consumption data physical model of the corresponding generator set; and the data analysis module is used for receiving the energy consumption data after the standardization processing, substituting the standardized data into the corresponding energy consumption data physical model for calculation, and simultaneously transmitting the calculation result.
As shown in fig. 5, the alarm reminding module includes an alarm and an abnormal data analysis display, and when the pre-control processing module judges that the generator set is in abnormal operation, the alarm reminding module receives the result of the abnormal operation calculation and sends an alarm through the alarm to remind the operator to know the result; the abnormal data analysis display can analyze the abnormal work calculation result to obtain the general probability abnormal reason and display the abnormal data and the general probability abnormal reason on the display.
As shown in fig. 6, the intelligent decision module includes a decision module and an autonomous control module, and when the pre-control processing module determines that the generator set is in non-abnormal operation, the decision module receives a calculation result of the non-abnormal operation, analyzes a reasonable adjustment scheme, and then autonomously controls the generator set through the autonomous control module.
For the energy consumption data within the normal variation range, the database module absorbs the energy consumption data into the database so as to supplement and enrich the database in real time.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above disclosure of further embodiments of the invention is intended only to facilitate the explanation of the invention. Further examples are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. A visualized dynamic energy consumption diagnosis, analysis and pre-control system based on big data is characterized by comprising a generator set, a data acquisition module, a data receiving and processing module, a retrieval processing module, a pre-control processing module, an alarm reminding module, an intelligent decision module and a visualized user interaction module;
the generator sets are classified into thermal generator sets and clean energy generator sets;
the data acquisition module is used for acquiring and transmitting energy consumption data of the generator set;
the data receiving and processing module is used for receiving the energy consumption data and carrying out format standardization processing on the energy consumption data;
the retrieval processing module is used for substituting the standardized energy consumption data into the corresponding energy consumption data physical model for calculation and transmitting the calculation result at the same time;
the pre-control processing module is used for receiving the energy consumption data calculation result, analyzing the calculation result and judging whether the generator set works abnormally or not;
the alarm reminding module is used for reminding workers of knowing that the generator set is in an abnormal working state and analyzing and displaying abnormal reasons;
the intelligent decision module autonomously analyzes the energy consumption calculation result and autonomously controls the generator set according to the analysis result;
the visual user interaction module is used for displaying the energy consumption data information, the energy consumption data physical model and the abnormal report of the generator set to a user and calling out the past energy consumption data model and information.
2. The big data based visual dynamic energy consumption diagnosis, analysis and pre-control system according to claim 1, wherein: the data acquisition module comprises sensors and a data transmission assembly, the sensors are divided into two groups, one group of sensors are used for detecting energy consumption data of the thermal generator set, and the other group of sensors are used for detecting energy consumption data of the clean energy generator set; the data transmission assembly is used for uploading energy consumption data detected by the sensor.
3. The big data based visual dynamic energy consumption diagnosis, analysis and pre-control system according to claim 1, wherein: the data receiving and processing module comprises a wireless receiver and a data formatting processor; the wireless receiver is used for energy consumption data transmitted by the data acquisition module; the data formatting processor is used for carrying out format standardization processing on the received energy consumption data of the generator set and transmitting the standardized data.
4. The big data based visual dynamic energy consumption diagnosis, analysis and pre-control system according to claim 1, wherein: the retrieval processing module comprises a database module, a retrieval module and a data analysis module, wherein the database module is used for storing physical models of energy consumption data of different generator sets in the past; the retrieval module is used for calling out an energy consumption data physical model of the corresponding generator set; and the data analysis module is used for receiving the energy consumption data after the standardization processing, substituting the standardized data into the corresponding energy consumption data physical model for calculation, and simultaneously transmitting the calculation result.
5. The big data based visual dynamic energy consumption diagnosis, analysis and pre-control system according to claim 1, wherein: the alarm reminding module comprises an alarm and an abnormal data analysis display, and when the pre-control processing module judges that the generator set works abnormally, the alarm reminding module receives the abnormal work calculation result and sends an alarm through the alarm to remind a worker to know the abnormal work calculation result; the abnormal data analysis display can analyze the abnormal work calculation result to obtain the general probability abnormal reason and display the abnormal data and the general probability abnormal reason on the display.
6. The big data based visual dynamic energy consumption diagnosis, analysis and pre-control system according to claim 1, wherein: when the pre-control processing module judges that the generator set works abnormally, the decision module receives a calculation result of the abnormal work, analyzes a reasonable adjustment scheme and then autonomously controls the generator set through the autonomous control module.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112327599A (en) * | 2020-11-03 | 2021-02-05 | 中国大唐集团科学技术研究院有限公司华中电力试验研究院 | Intelligent safety system of thermal power generator |
| CN113204229A (en) * | 2021-04-30 | 2021-08-03 | 国能驻马店热电有限公司 | Intelligent self-checking system of thermal generator set control system |
| CN113344734A (en) * | 2021-05-17 | 2021-09-03 | 广州大学城投资经营管理有限公司 | Energy management energy consumption analysis device based on Internet of things and cloud service |
| CN116702424A (en) * | 2023-04-26 | 2023-09-05 | 淮阴工学院 | Big data intelligence emission reduction system |
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Application publication date: 20200828 |