CN107622342A - A distribution network platform data analysis system based on MVC architecture - Google Patents

Abstract

The invention belongs to the field of electric power technology, and in particular relates to a data analysis system for a distribution network station area based on an MVC framework, which is an intelligent analysis system for analyzing information collected by a power consumption information collection device for a distribution station area. It includes two parts: the power intranet web-side database and the offline client; among them, the offline client includes information generation module, data analysis management module, drawing module and graphic analysis module. The invention closely meets the requirements and characteristics of the online monitoring of the intelligent distribution network, and realizes the analysis and pre-judgment of whether the information collected by the power consumption information collection device of the distribution network area is accurate. After analysis, it is judged that the collected abnormal information is accurate, and there is no need to go to the site to deal with false abnormalities, which not only saves a lot of manpower and time, but also has the main advantages of flexibility, security and scalability, making the application of distribution network online monitoring technology more convenient. intelligent.

Description

A distribution network platform data analysis system based on MVC architecture

technical field

The invention belongs to the field of electric power technology, and in particular relates to a data analysis system for a distribution network station area based on an MVC framework, which is an intelligent analysis system for analyzing information collected by a power consumption information collection device for a distribution station area.

technical background

As the top priority of national industry development, the development of electric power industry is directly related to the sustainable development of national economy. With the continuous advancement of the development of smart distribution network policies and the continuous expansion of the scale of smart distribution network, the reliability of electricity consumption has become more and more closely related to people's clothing, food, housing and transportation. The operation also puts forward higher and higher requirements, and a powerful measure to ensure the economy and stability of the distribution network system is to improve the reliability of power supply in the distribution area.

In recent years, the status monitoring of smart distribution network has been more and more widely used. The power consumption information acquisition device in the distribution station area is an important guarantee for real-time monitoring of the abnormal status of the distribution transformer in the station area. The real-time monitoring of the distribution transformer through the power consumption information acquisition device can realize the low voltage, three-phase unbalanced, heavy Monitoring and early warning of abnormal conditions such as load and overload, so that certain operation and maintenance methods can be adopted to reduce or avoid the occurrence of faults, and at the same time, it can also provide a basis for the formulation of maintenance strategies for distribution network equipment.

After a period of time, the abnormal statistics and analysis of the distribution network station area found that a large proportion of distribution transformer abnormalities were caused by the abnormality of the power consumption information collection device itself, and because of the wide distribution and large number of power consumption information collection devices, the distribution It is difficult for network operation and maintenance personnel to judge one by one whether it is the real abnormality of the distribution transformer or the abnormality of the power consumption information collection device itself.

Contents of the invention

Aiming at the insufficiency of the functions of the distribution network station area power consumption information collection device in the prior art, the present invention provides a distribution network station area data analysis system based on the MVC architecture, which can analyze and judge the data uploaded by the power consumption information collection device . The purpose is to ensure the authenticity of the early warning of the power consumption information collection device in the distribution station area, and use the MVC framework as the core to pre-judgment and correct the data collected by the power consumption information collection device, so as to realize the judgment of the information collected by the power consumption information collection device in the distribution station area Is it accurate.

In order to achieve the above object, the present invention is achieved through the following technical solutions:

A data analysis system for a distribution network station area based on an MVC architecture, including two parts: a power intranet Web-side database and an offline client; wherein, the offline client includes an information generation module, a data analysis management module, a drawing module, and a graph analysis module.

The information generation module is used to export the electricity consumption information data collected by the power consumption information collection device of the query distribution station area in XML format for use by the offline client.

The data analysis and management module displays the abnormal power consumption information of the distribution station area collected by the power consumption information collection device in a panoramic manner, forming a line with the date of the abnormal occurrence of the distribution station area as the main line, and the occurrence time, duration, Abnormal data and other information are supplemented by detailed analysis; the power consumption information of the distribution transformer in the distribution station area is intensively presented in the distribution station area.

The drawing module will use the required data of the data analysis management module to draw graphics.

The graphical analysis module analyzes abnormal conditions represented by different waveforms.

The web-side database of the electric power intranet is composed of the equipment ledger database, and in order to ensure the security of the data, only the data in the safe area of the equipment ledger database is read.

A method for analyzing the distribution network platform area data analysis system based on the MVC architecture, comprising the following steps:

Firstly, access the account and configuration file of the equipment in the distribution station area that has experienced abnormal situations through the database terminal of the power intranet Web terminal, and import it into the offline client terminal through the information generation module, and analyze the imported huge information through the analysis system based on the MVC architecture , using the combination of Python language and PHP language, the Python collection system realizes the automatic collection, induction and arrangement of PMS2.0 data, and PHP cooperates with the Mysql database to screen the data according to the requirements;

Secondly, the data imported into the client is separated into models, views, and controllers, and model information such as different units, different feeders, different stations, and different teams are collected and summarized according to the specified arrangement and combination; The view information of distribution transformer capacity and different power factors is sorted out according to requirements; control time factors such as nearly three days, one week, one month, and six months are screened one by one, and special waveforms are formed through the drawing module;

Finally, through the existence of control factors, the method of ensuring the synchronization of model factors and view factors, in a panoramic manner, presents the summary of various abnormal power consumption information of distribution transformers in the distribution transformer area within a period of time, so as to judge the collected The authenticity of the power consumption information of the distribution station area, so as to realize whether the information collected by the power consumption information collection device of the distribution station area is accurate.

The special waveform formed by the drawing module includes: a regular increasing or decreasing waveform indicates that an overvoltage anomaly does occur in a special period of time in a distribution station area; a voltage anomaly occurs suddenly in a certain period of time, and it takes a long time before the anomaly occurs. If there is no abnormality in time, it means that the electric energy meter of the acquisition device is abnormal; if the waveform changes irregularly, it means that on-site confirmation is required to judge whether the information collected by the power consumption information acquisition device in the distribution station area is accurate.

The present invention has the following advantages and beneficial effects:

The invention closely meets the requirements and characteristics of the online monitoring of the intelligent distribution network, and can realize analysis and pre-judgment whether the information collected by the power consumption information collection device of the distribution network area is accurate. After analysis, it is judged that the collected abnormal information is accurate, and the operation and inspection personnel go to the distribution station area to control the abnormality. If the collected information is judged to be inaccurate after analysis, the operation and maintenance personnel need to notify the marketing personnel or the manufacturer of the power consumption information collection device to correct the collection device. For maintenance, there is no need to go to the site to deal with false abnormalities, which not only saves a lot of manpower and time, but also has the main advantages of flexibility, security and scalability, making the application of distribution network online monitoring technology more intelligent.

Description of drawings

The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments, but is not limited by this embodiment.

Fig. 1 is a schematic diagram of the architecture analysis system of the present invention.

detailed description

The present invention is a distribution network station area data analysis system based on the MVC framework, as shown in FIG. 1 .

The system architecture of the present invention consists of two parts: the power intranet Web-side database and the offline client.

The offline client further includes an information generation module, a data analysis management module, a drawing module and a graphic analysis module.

Among them: the information generation module is used to export the power consumption information data collected by the power consumption information collection device of the query distribution station area in XML format for offline client use;

The data analysis management module is responsible for displaying the abnormal power consumption information of the distribution station area collected by the power consumption information collection device in a panoramic manner, forming a line with the date of the abnormality in the distribution station area as the main line, and taking the occurrence time, occurrence time Time length, abnormal data and other information are supplemented by detailed analysis. This replaces the previous method of only querying the abnormal data of the distribution transformer in a single distribution station area in the same period of time when the abnormal voltage occurs, and finally enables the power consumption information of the distribution transformer in the distribution station area to be intensively presented in the distribution station. in the radio area.

The drawing module is responsible for drawing the required data through the data analysis management module.

The graphic analysis module is responsible for analyzing abnormal situations represented by different waveforms.

The web-side database of the electric power intranet is composed of the equipment ledger database, and in order to ensure data security, we only read the data in the safe area of the equipment ledger database.

The full name of MVC in this system is Model View Controller, which is the abbreviation of model model-view view-controller controller.

The present invention is a distribution network platform area data analysis system based on MVC framework, and its implementation method is as follows:

Firstly, access the account and configuration file of the equipment in the distribution station area that has experienced abnormal situations through the database terminal of the power intranet Web terminal, and import it into the offline client terminal through the information generation module, and analyze the imported huge information through the analysis system based on the MVC architecture , using the combination of Python language and PHP language, the Python collection system realizes the automatic collection, induction and arrangement of PMS2.0 data, and PHP cooperates with the Mysql database to screen the data according to requirements.

Secondly, the data imported into the client is separated into models, views, and controllers, and model information such as different units, different feeders, different stations, and different teams are collected and summarized according to the specified arrangement and combination; View information such as distribution transformer capacity, different power factors, etc. are organized according to requirements; control time factors such as nearly three days, one week, one month, and six months are screened one by one, and special waveforms are formed through the drawing module, such as: regular increase or Decreasing waveform indicates that the overvoltage abnormality did occur in a special period of time in the distribution station area; a voltage abnormality occurred suddenly in a certain period of time, and there was no abnormality for a long time before the abnormality occurred, indicating that the energy meter of the acquisition device was abnormal; the waveform was irregular Change representatives need to be confirmed on site to judge whether the information collected by the power consumption information collection device in the distribution station area is accurate, which saves two-thirds of the operation and maintenance personnel's working time, greatly improves the operation and maintenance efficiency, and effectively improves the Program portability and pluggability.

Finally, through the existence of control factors, the method of ensuring the synchronization of model factors and view factors, in a panoramic manner, presents the summary of various abnormal power consumption information of distribution transformers in the distribution transformer area within a period of time, so as to judge the collected The authenticity of the power consumption information in the distribution station area. In this way, it is possible to judge whether the information collected by the power consumption information collection device in the distribution station area is accurate.

Claims (8)

1. A data analysis system for distribution network station area based on MVC architecture, characterized in that it includes two parts: a web-side database of the electric power intranet and an offline client; wherein, the offline client includes an information generation module, a data analysis management module, a drawing module and graph analysis module. 2. A kind of distribution network station area data analysis system based on MVC framework according to claim 1, it is characterized in that: described information generation module is used for querying the power consumption collected by distribution station area electricity information collection device Information data is exported in Extensible Markup Language XML format for use by offline clients. 3. A kind of distribution network station area data analysis system based on MVC framework according to claim 1, it is characterized in that: described data analysis management module collects the abnormal power consumption information of distribution station area collected by the electricity information collection device It is displayed in a panoramic way, forming a detailed analysis based on the date of the abnormality in the distribution station area as the main line, and supplemented by information such as the time of occurrence, the duration of the occurrence, and abnormal data; The electricity information is intensively presented in the distribution station area to which it belongs. 4. A data analysis system for distribution network station area based on MVC architecture according to claim 1, characterized in that: the drawing module will draw graphics according to the required data of the data analysis management module. 5. A distribution network station area data analysis system based on MVC architecture according to claim 1, characterized in that: said graphic analysis module analyzes abnormal situations represented by different waveforms. 6. A kind of distribution network platform area data analysis system based on MVC framework according to claim 1, it is characterized in that: described power intranet Web end database is made up of equipment ledger database, in order to guarantee the security of data, only Read the data in the security area of the equipment ledger database. 7. the analysis method of a kind of distribution network platform area data analysis system based on MVC framework according to claim 1, it is characterized in that: comprise the following steps: Firstly, access the account and configuration file of the equipment in the distribution station area that has experienced abnormal situations through the database terminal of the power intranet Web terminal, and import it into the offline client terminal through the information generation module, and analyze the imported huge information through the analysis system based on the MVC architecture , using the combination of Python language and PHP language, the Python collection system realizes the automatic collection, induction and arrangement of PMS2.0 data, and PHP cooperates with the Mysql database to screen the data according to the requirements; Secondly, the data imported into the client is separated into models, views, and controllers, and model information such as different units, different feeders, different stations, and different teams are collected and summarized according to the specified arrangement and combination; The view information of distribution transformer capacity and different power factors is sorted out according to requirements; control time factors such as nearly three days, one week, one month, and six months are screened one by one, and special waveforms are formed through the drawing module; Finally, through the existence of control factors, the method of ensuring the synchronization of model factors and view factors, in a panoramic manner, presents the summary of various abnormal power consumption information of distribution transformers in the distribution transformer area within a period of time, so as to judge the collected The authenticity of the power consumption information of the distribution station area, so as to realize whether the information collected by the power consumption information collection device of the distribution station area is accurate. 8. The analysis method of a distribution network platform area data analysis system based on MVC architecture according to claim 7, characterized in that: the special waveform formed by the drawing module includes: a regular increasing or decreasing waveform representative The overvoltage abnormality did occur in a special time period in the distribution station area; a voltage abnormality occurred suddenly in a certain period of time, and there was no abnormality for a long time before the abnormality occurred, which means that the electric energy meter of the acquisition device is abnormal; On-site confirmation is used to judge whether the information collected by the power consumption information collection device in the distribution station area is accurate.