阅读说明：本技术 一种电力设备在线监测海量信息的图形数据挖掘方法 (Graphic data mining method for monitoring mass information on line by power equipment ) 是由 远方 李�东 贾峥 郭永强 李文萃 胡岸 于 2021-07-30 设计创作，主要内容包括：本发明涉及电力技术领域,尤其是一种电力设备在线监测海量信息的图形数据挖掘方法,S1、打开电力设备在线监测海量信息的图形挖掘系统；S2、通过所述输入模块进行搜索信息的输入,通过采用所述分类单元进行信息的分类；S3、然后再由所述搜寻模块根据信息分类的结果,在不同的数据库中进行搜寻；S4、将搜寻到的数据结果通过输出模块进行输出,然后通过显示模块对图形数据进行显示。本发明具有避免了对整个数据库的查找,从而缩短的挖掘的时间,保证了挖掘进度的特点。(The invention relates to the technical field of electric power, in particular to a graph data mining method for monitoring mass information on line by electric power equipment, which comprises the following steps of S1, starting a graph mining system for monitoring the mass information on line by the electric power equipment; s2, inputting search information through the input module, and classifying the information through the classification unit; s3, searching in different databases by the searching module according to the information classification result; and S4, outputting the searched data result through an output module, and displaying the graphic data through a display module. The method has the characteristics of avoiding searching the whole database, shortening the mining time and ensuring the mining progress.)

1. A graph data mining method for monitoring mass information on line by power equipment is characterized by comprising the following steps:

s1, opening a graph mining system for monitoring mass information on line by power equipment, wherein the graph mining system for monitoring the mass information on line by the power equipment comprises a controller, the controller is in signal connection with a searching module and a classifying unit, the separating unit is in signal connection with an input module, the searching module is in signal connection with a temperature graph data module, a voltage data graph module, a current data graph module, a power data graph module and a humidity data graph module, the temperature graph data module, the voltage data graph module, the current data graph module, the power data graph module and the humidity data graph module are in signal connection with an output module, and the output module is in signal connection with a display module;

s2, inputting search information through the input module, and classifying the information through the classification unit;

s3, searching in different databases by the searching module according to the information classification result;

and S4, outputting the searched data result through an output module, and displaying the graphic data through a display module.

2. The method as claimed in claim 1, wherein the classification unit comprises a microcontroller, the microcontroller is in signal connection with a termination module, a classification module, a unit identification module and a temporary storage module, the unit identification module is in signal connection with a keyword identification module, and the keyword identification module is in signal connection with a technical noun identification module.

3. The method for mining the graphic data of the on-line monitoring mass information of the power equipment according to claim 2, wherein when the classification unit works, the method comprises the following steps:

a1, inputting through the input module, temporarily storing in the microcontroller, identifying the input information through the unit identification module, classifying according to the unit of the numerical value, terminating through the termination module when the classification is successful, and classifying the input information through the classification module;

a2, when the unit identification module fails to identify, identifying through the keyword identification module, and when the unit identification module succeeds in identifying, terminating through the termination module, and classifying the input information through the classification module;

and A3, when the recognition of the keyword recognition module fails, recognizing through the technical noun recognition module, and classifying the information through the technical noun in the input information.

4. The method for mining the graphic data of the on-line monitoring mass information of the power equipment according to claim 1, wherein the controller is in signal connection with a coincidence module, a coordinate reading module, a cache module, a conversion module, a reading module, a graphic recognition module and an acquisition module, the cache module is in signal connection with the conversion module, the conversion module is in signal connection with the reading module, the reading module is in signal connection with the graphic recognition module, and the graphic recognition module is in signal connection with the acquisition module.

5. The method for mining the graphic data of the power equipment on-line monitoring mass information according to claim 4, wherein the contact ratio module comprises the following steps when in operation:

b1, collecting the graph through the collection module, identifying the graph through the identification module, reading each point data in the graph through the reading module, and converting the coordinate points through the conversion module to generate the graph;

and B2, temporarily storing the graph through the temporary storage module, reading the coordinate of the graph through the coordinate reading module, searching in a database through the coincidence degree module, and outputting the graph with the highest similarity.

Technical Field

The invention relates to the technical field of electric power, in particular to a graph data mining method for monitoring mass information on line by electric power equipment.

Background

In order to ensure the normal operation of the power equipment, the information of the equipment is monitored by adopting the detection equipment so as to comprehensively know the information of the equipment, but because the quantity of the power equipment is large, and meanwhile, the graphs of the parameters formed by the power equipment are increased along with the increase of the power equipment, massive information can be assembled, when the graph data of the equipment needs to be searched and mined, the graph data information is messy, the whole database is searched every time the graph data is searched, better time is consumed, the waste of searching time is caused, the output of the graph data is slow, and the process is delayed.

Disclosure of Invention

The invention aims to solve the defects that better time is needed to be consumed and searching time is wasted in the prior art, and provides a graph data mining method for monitoring mass information on line by power equipment.

In order to achieve the purpose, the invention adopts the following technical scheme:

a graph data mining method for monitoring mass information on line by power equipment is designed, and comprises the following steps:

s1, opening a graph mining system for monitoring mass information on line by power equipment, wherein the graph mining system for monitoring the mass information on line by the power equipment comprises a controller, the controller is in signal connection with a searching module and a classifying unit, the separating unit is in signal connection with an input module, the searching module is in signal connection with a temperature graph data module, a voltage data graph module, a current data graph module, a power data graph module and a humidity data graph module, the temperature graph data module, the voltage data graph module, the current data graph module, the power data graph module and the humidity data graph module are in signal connection with an output module, and the output module is in signal connection with a display module;

s2, inputting search information through the input module, and classifying the information through the classification unit;

s3, searching in different databases by the searching module according to the information classification result;

and S4, outputting the searched data result through an output module, and displaying the graphic data through a display module.

Preferably, the classification unit comprises a microcontroller, the microcontroller is in signal connection with a termination module, a classification module, a unit identification module and a temporary storage module, the unit identification module is in signal connection with a keyword identification module, and the keyword identification module is in signal connection with a technical noun identification module.

Preferably, when the classification unit works, the method comprises the following steps:

a1, inputting through the input module, temporarily storing in the microcontroller, identifying the input information through the unit identification module, classifying according to the unit of the numerical value, terminating through the termination module when the classification is successful, and classifying the input information through the classification module;

a2, when the unit identification module fails to identify, identifying through the keyword identification module, and when the unit identification module succeeds in identifying, terminating through the termination module, and classifying the input information through the classification module;

and A3, when the recognition of the keyword recognition module fails, recognizing through the technical noun recognition module, and classifying the information through the technical noun in the input information.

Preferably, the controller is in signal connection with a contact ratio module, a coordinate reading module, a cache module, a conversion module, a reading module, a pattern recognition module and an acquisition module, the cache module is in signal connection with the conversion module, the conversion module is in signal connection with the reading module, the reading module is in signal connection with the pattern recognition module, and the pattern recognition module is in signal connection with the acquisition module.

Preferably, the contact ratio module comprises the following steps:

b1, collecting the graph through the collection module, identifying the graph through the identification module, reading each point data in the graph through the reading module, and converting the coordinate points through the conversion module to generate the graph;

and B2, temporarily storing the graph through the temporary storage module, reading the coordinate of the graph through the coordinate reading module, searching in a database through the coincidence degree module, and outputting the graph with the highest similarity.

The invention provides a graphic data mining method for monitoring mass information on line by power equipment, which has the beneficial effects that: the classification unit is adopted to classify the information to be input, the graph data to be searched is locked in one database, and then searching is carried out, so that the searching of the whole database is avoided, the mining time is shortened, and the mining progress is ensured.

Drawings

Fig. 1 is a system block diagram of a graph data mining method for monitoring mass information on line by power equipment according to the present invention;

fig. 2 is a system block diagram of a classification unit of a graph data mining method for monitoring mass information on line by power equipment 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.

Referring to fig. 1-2, a graph data mining method for monitoring mass information on line by power equipment includes the following steps:

s1, opening a graph mining system for monitoring mass information on line by power equipment, wherein the graph mining system for monitoring the mass information on line by the power equipment comprises a controller, the controller is in signal connection with a searching module and a classifying unit, the separating unit is in signal connection with an input module, the searching module is in signal connection with a temperature graph data module, a voltage data graph module, a current data graph module, a power data graph module and a humidity data graph module, the temperature graph data module, the voltage data graph module, the current data graph module, the power data graph module and the humidity data graph module are in signal connection with an output module, and the output module is in signal connection with a display module;

s2, inputting search information through an input module, and classifying the information through a classification unit;

s3, searching in different databases by the searching module according to the information classification result;

s4, outputting the searched data result through an output module, displaying the graph data through a display module, classifying the information to be searched through a classification unit, locking the graph data to be searched in one database, and searching again, thereby avoiding searching the whole database, shortening the mining time and ensuring the mining progress.

The classification unit comprises a microcontroller, the microcontroller is in signal connection with a termination module, a classification module, a unit identification module and a temporary storage module, the unit identification module is in signal connection with a keyword identification module, the keyword identification module is in signal connection with a technical noun identification module, when the power equipment monitors, monitored parameters are different, generated graphic data units are different, classification of the mining information is facilitated according to different units, meanwhile, when no unit exists in the mining information, the mining information is classified through keywords, when the two do not exist, the mining information is classified through the technical noun in the field.

When the classification unit works, the method comprises the following steps:

a1, inputting through an input module, temporarily storing in a microcontroller, identifying the input information through a unit identification module, classifying according to the unit of a numerical value, terminating through a termination module when the classification is successful, and classifying the input information through the classification module;

a2, when the unit identification module fails to identify, the unit identification module identifies through the keyword identification module, when the unit identification module succeeds in identifying, the unit identification module terminates through the termination module, and the classification module classifies the input information;

and A3, after the keyword recognition module fails to recognize, recognizing through the technical noun recognition module, and classifying the information through the technical noun in the input information.

The controller is in signal connection with a contact ratio module, a coordinate reading module, a cache module, a conversion module, a reading module, a figure recognition module and an acquisition module, the cache module is in signal connection with the conversion module, the conversion module is in signal connection with the reading module, the reading module is in signal connection with the figure recognition module, and the figure recognition module is in signal connection with the acquisition module.

The contact ratio overlapping module comprises the following steps:

b1, collecting the graph through a collection module, identifying the graph through an identification module, reading each point data in the graph through a reading module, and converting the coordinate points through a conversion module to generate the graph;

b2, carry out the temporary storage of figure through the module of keeping in, read the coordinate of figure through adopting the coordinate to read the module, then search in the database through the coincidence degree module, the output similarity is the highest, when the input is the figure, gather the figure through adopting the collection module to find this figure in the database, derive figure and corresponding data information, carry out the omnidirectional understanding to the information of each parameter in the figure and equipment.

The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.