CN107622342B - MVC (model view controller) architecture-based distribution network area data analysis system - Google Patents
MVC (model view controller) architecture-based distribution network area data analysis system Download PDFInfo
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Abstract
The invention belongs to the technical field of electric power, and particularly relates to a power distribution network area data analysis system based on an MVC (model view controller) framework, which is an intelligent analysis system for analyzing information acquired by a power utilization information acquisition device in a power distribution network area. The system comprises an electric power intranet Web end database and an offline client; the off-line client comprises an information generation module, a data analysis management module, a drawing module and a graph analysis module. The invention closely conforms to the on-line monitoring requirements and characteristics of the intelligent power distribution network, and realizes the analysis and pre-judgment of the accuracy of the information acquired by the power consumption information acquisition device of the distribution network area. The abnormal information collected after analysis is judged to be accurate, the scene is not required to be carried out to treat false abnormity, a large amount of labor and time are saved, and the method has the main advantages of flexibility, safety, expandability and the like, so that the distribution network online monitoring technology is more intelligent in application.
Description
Technical Field
The invention belongs to the technical field of electric power, and particularly relates to a power distribution network area data analysis system based on an MVC (model view controller) framework, which is an intelligent analysis system for analyzing information acquired by a power utilization information acquisition device in a power distribution network area.
Background
The development of the power industry is the central importance of the development of the national industry, and is directly related to the sustainable development of the national economy. Along with the continuous promotion of the policy of developing the intelligent power distribution network and the continuous enlargement of the scale of the intelligent power distribution network, the power utilization reliability has more and more close relation to people's clothing, food, living and walking, so that users also put forward higher and higher requirements on the stable and economic operation of the power distribution network system, and a powerful measure for ensuring the economy and the stability of the power distribution network system is to improve the power supply reliability of the power distribution station area.
In recent years, the state monitoring of the intelligent power distribution network is more and more widely applied. The distribution substation power consumption information acquisition device is an important guarantee for realizing the abnormal state of the distribution transformer in the real-time monitoring substation, carries out real-time monitoring on the distribution transformer through the power consumption information acquisition device, and can realize abnormal condition fault monitoring and early warning such as low voltage, unbalanced three phases, heavy load and overload of the distribution transformer, thereby reducing or avoiding the occurrence of faults by adopting a certain operation and maintenance means, and simultaneously providing a basis for the formulation of the maintenance strategy of the power distribution network equipment.
After a period of time, the abnormal statistics and analysis of the distribution network distribution area show that a large proportion of distribution transformer abnormalities are caused by the abnormality of the power consumption information acquisition device, and the distribution network operation and maintenance personnel are difficult to judge whether the distribution transformer abnormalities or the power consumption information acquisition device abnormalities one by one due to the wide distribution and large quantity of the power consumption information acquisition devices.
Disclosure of Invention
Aiming at the defects of functions of the power consumption information acquisition device of the distribution network area in the prior art, the invention provides a power consumption information acquisition device power consumption information analysis system based on an MVC (model view controller) framework, which is used for analyzing and judging data uploaded by the power consumption information acquisition device. The power utilization information acquisition device is used for pre-judging and correcting data acquired by the power utilization information acquisition device by using an MVC (model view controller) framework as a core so as to ensure the early warning authenticity of the power utilization information acquisition device in a power distribution station area, so that whether the information acquired by the power utilization information acquisition device in the power distribution station area is accurate or not is judged.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a distribution network area data analysis system based on MVC architecture comprises a power intranet Web end database and an offline client; the off-line client comprises an information generation module, a data analysis management module, a drawing module and a graph analysis module.
The information generation module is used for exporting the electricity utilization information data acquired by the electricity utilization information acquisition device in the query power distribution station area in an XML format for use by an offline client.
The data analysis management module displays the abnormal power utilization information of the power distribution area acquired by the power utilization information acquisition device in a panoramic mode, and forms detailed analysis which takes the date of the abnormal power utilization of the power distribution area as a main line and takes the information of occurrence time, occurrence duration, abnormal data and the like as assistance; and various power utilization information of the distribution transformer in the distribution station area is intensively presented in the distribution station area.
And the drawing module is used for drawing the graph according to the required data of the data analysis management module.
The graphic analysis module analyzes abnormal conditions represented by different waveforms.
The power intranet Web end database consists of an equipment account database, and in order to guarantee the safety of data, the data of a safety area of the equipment account database is read only.
The method for analyzing the distribution network area data analysis system based on the MVC architecture comprises the following steps:
firstly, accessing a power distribution station area equipment account and a configuration file which have abnormal conditions through a Web end database end of an electric power intranet, importing the abnormal information into an offline client end through an information generation module, analyzing the imported huge information through an analysis system based on an MVC (model view controller) architecture, combining a Python language and a PHP language, realizing automatic acquisition, induction and arrangement of PMS2.0 data by using the Python acquisition system, and screening the data according to requirements by matching the PHP with a Mysql database;
secondly, carrying out three-layer separation of a model, a view and a controller on the data imported into the client, and collecting and summarizing model information of different units, different feeders, different station houses, different teams and the like according to the specified arrangement combination; arranging view information with different generation durations, different distribution and transformation capacities and different power factors according to requirements; the time control factors of nearly three days, one week, one month, 6 months and the like are screened one by one, and a special waveform is formed through a drawing module;
and finally, by the existence of the control factors, a method for ensuring the synchronization of the model factors and the view factors presents various abnormal electricity utilization information summary of the distribution transformer in the distribution transformer area in a period of time in a panoramic mode, so that the authenticity of the collected electricity utilization information of the distribution transformer area is judged, and the judgment of whether the information collected by the electricity utilization information collection device of the distribution transformer area is accurate is realized.
The special waveform is formed by a drawing module, and comprises the following steps: the regular ascending or descending waveform represents that overvoltage abnormity does occur in the power distribution station area in a special time period; when voltage abnormality occurs in a certain time period suddenly, the abnormal condition does not occur for a long time before the abnormality occurs, which represents that the electric energy meter of the acquisition device is abnormal; the waveform is irregular and represents that field confirmation is needed, so that whether the information acquired by the power utilization information acquisition device in the power distribution station area is accurate or not is judged.
The invention has the following advantages and beneficial effects:
the invention closely conforms to the on-line monitoring requirements and characteristics of the intelligent power distribution network, and can realize analysis and pre-judgment on whether the information acquired by the power consumption information acquisition device in the distribution network area is accurate or not. The abnormal information of judging the collection after the analysis is accurate, the operation and maintenance personnel go to the power distribution station area to administer the abnormity, if the information of judging the collection after the analysis is inaccurate, the operation and maintenance personnel need to inform the marketing personnel or the power consumption information acquisition device manufacturer to maintain the acquisition device, and need not to go to the scene to administer the false abnormity, so that a large amount of manpower and time are saved, and the online monitoring technology of the distribution network is more intelligent in application.
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The technical solution of the present invention is described in detail below with reference to the accompanying drawings and specific embodiments, but is not limited by the embodiments.
FIG. 1 is a schematic diagram of an architecture analysis system according to the present invention.
Detailed Description
The invention relates to a distribution network area data analysis system based on an MVC (model view controller) architecture, which is shown in figure 1.
The system of the invention structurally comprises a power intranet Web end database and an offline client.
The off-line client further comprises an information generation module, a data analysis management module, a drawing module and a graph analysis module.
Wherein: the information generation module is used for exporting the electricity utilization information data acquired by the electricity utilization information acquisition device in the query power distribution station area in an extensible markup language (XML) format for use by an offline client;
the data analysis management module is responsible for displaying abnormal power utilization information of the power distribution transformer area acquired by the power utilization information acquisition device in a panoramic mode, and forms detailed analysis which takes the date of the power distribution transformer area with abnormality as a main line and takes information such as occurrence time, occurrence duration and abnormal data as assistance. The method replaces the mode that all abnormal data when the voltage of the distribution transformer of a single distribution area is abnormal in the same time period can only be inquired independently in the prior art, and all electricity utilization information of the distribution transformer of the distribution area is finally intensively presented in the distribution area.
And the drawing module is responsible for drawing the graph of the data required by the data analysis management module.
The graphic analysis module is responsible for analyzing abnormal conditions represented by different waveforms.
The power intranet Web end database consists of an equipment account database, and in order to guarantee the safety of data, the data of a safety area of the equipment account database are read only.
The MVC in the system is named as Model View Controller and is an abbreviation of a Model-View-Controller.
The invention relates to a distribution network area data analysis system based on an MVC (model view controller) architecture, which comprises the following implementation methods:
the method comprises the steps that firstly, a power distribution station area equipment account and a configuration file which are subjected to abnormal conditions are accessed through a Web end database end of an electric power intranet, the power distribution station area equipment account and the configuration file are led into an offline client end through an information generation module, the led-in huge information is analyzed through an MVC (model view controller) architecture-based analysis system, a Python language is combined with a PHP (physical vapor deposition) language, a Python acquisition system realizes automatic acquisition, induction and arrangement of PMS2.0 data, and the PHP is matched with a Mysql database to screen the data according to requirements.
Secondly, carrying out three-layer separation of a model, a view and a controller on the data imported into the client, and collecting and summarizing model information of different units, different feeders, different station houses, different teams and the like according to the specified arrangement combination; arranging view information such as different generation durations, different distribution and transformation capacities, different power factors and the like according to requirements; the time control factors of nearly three days, one week, one month, 6 months and the like are screened one by one, and special waveforms are formed through a drawing module, such as: the regular ascending or descending waveform represents that overvoltage abnormity does occur in the power distribution station area in a special time period; when voltage abnormality occurs in a certain time period suddenly, the abnormal condition does not occur for a long time before the abnormality occurs, which represents that the electric energy meter of the acquisition device is abnormal; the waveform is irregular and represents the need of on-site confirmation, so that whether the information acquired by the power utilization information acquisition device of the power distribution station area is accurate or not is judged, two thirds of the working time of operation and maintenance personnel is saved, the operation and maintenance efficiency is greatly improved, and the portability and the pluggable performance of a program are effectively improved.
And finally, by the existence of the control factors, a method for ensuring the synchronization of the model factors and the view factors presents various abnormal electricity utilization information summary of the distribution transformer in the distribution transformer area within a period of time in a panoramic mode, so as to judge the authenticity of the collected electricity utilization information of the distribution transformer area. Therefore, whether the information acquired by the power utilization information acquisition device in the power distribution area is accurate or not is judged.
Claims (2)
1. A distribution network area data analysis system based on MVC architecture is characterized in that: the system comprises an electric power intranet Web end database and an offline client; the off-line client comprises an information generation module, a data analysis management module, a drawing module and a graph analysis module;
the information generation module is used for exporting the electricity utilization information data acquired by the electricity utilization information acquisition device of the power distribution station area to an offline client in an extensible markup language (XML) format for use;
the data analysis management module displays the abnormal power utilization information of the power distribution area acquired by the power utilization information acquisition device in a panoramic mode, and forms detailed analysis which takes the date of the abnormal power utilization of the power distribution area as a main line and takes the occurrence time, the occurrence duration and the abnormal data information as assistance; the method replaces the mode that all items of abnormal data when the voltage of the distribution transformer of a single distribution area is abnormal in the same time period can only be inquired independently in the prior art, so that all items of electricity utilization information of the distribution transformer of the distribution area are intensively presented in the distribution area;
the drawing module is used for drawing graphs according to the required data of the data analysis management module to form a special waveform; the method comprises the following steps: the regular ascending or descending waveform represents that overvoltage abnormity does occur in the power distribution station area in a special time period; when voltage abnormality occurs in a certain time period suddenly, the abnormal condition does not occur for a long time before the abnormality occurs, which represents that the electric energy meter of the acquisition device is abnormal; the waveform is irregular and represents that field confirmation is needed, so that whether the information acquired by the power utilization information acquisition device of the power distribution station area is accurate or not is judged;
the graphic analysis module analyzes abnormal conditions represented by different waveforms;
the power intranet Web end database consists of an equipment account database, and in order to guarantee the safety of data, the data of a safety area of the equipment account database is read only.
2. The analysis method of the distribution network region data analysis system based on the MVC architecture as claimed in claim 1, wherein: the method comprises the following steps:
firstly, accessing a power distribution station area equipment account and a configuration file which have abnormal conditions through a Web end database end of an electric power intranet, importing the abnormal information into an offline client end through an information generation module, analyzing the imported huge information through an analysis system based on an MVC (model view controller) architecture, combining a Python language and a PHP language, realizing automatic acquisition, induction and arrangement of PMS2.0 data by using the Python acquisition system, and screening the data according to requirements by matching the PHP with a Mysql database;
secondly, carrying out three-layer separation of a model, a view and a controller on data imported into the client, and collecting and summarizing model information of different units, different feeders, different station houses and different teams according to specified arrangement and combination; arranging view information with different generation durations, different distribution and transformation capacities and different power factors according to requirements; the time factors are controlled one by one for nearly three days, one week, one month and 6 months, and special waveforms are formed through a drawing module;
the special waveform; the method comprises the following steps: the regular ascending or descending waveform represents that overvoltage abnormity does occur in the power distribution station area in a special time period; when voltage abnormality occurs in a certain time period suddenly, the abnormal condition does not occur for a long time before the abnormality occurs, which represents that the electric energy meter of the acquisition device is abnormal; the waveform is irregular and represents that field confirmation is needed, so that whether the information acquired by the power utilization information acquisition device of the power distribution station area is accurate or not is judged;
and finally, by the existence of the control factors, a method for ensuring the synchronization of the model factors and the view factors presents various abnormal electricity utilization information summary of the distribution transformer in the distribution transformer area in a period of time in a panoramic mode, so that the authenticity of the collected electricity utilization information of the distribution transformer area is judged, and the judgment of whether the information collected by the electricity utilization information collection device of the distribution transformer area is accurate is realized.
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| CN110377656B (en) * | 2019-06-13 | 2023-04-25 | 中国地质大学深圳研究院 | Storm surge inundation early warning visualization method based on MVC architecture |
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| CN112213687B (en) * | 2020-10-10 | 2023-05-16 | 国网四川省电力公司电力科学研究院 | Gateway electric energy meter data anomaly detection method and system based on pseudo-anomaly point identification |
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