CN112730995A - Intelligent monitoring platform for occupational harmful factors of power grid - Google Patents
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Abstract
The application discloses an intelligent monitoring platform for occupational harmful factors of a power grid, wherein the detection platform for occupational harmful factors of the power grid receives detection data of the occupational harmful factors of the power grid, which are acquired by a fixed-point electromagnetic detection subsystem of a transformer substation, an individual electromagnetic field detection subsystem and an intelligent inspection subsystem of a transformer substation robot through a logic processing layer, processes and displays the data, and comprises an operation and maintenance monitoring sub-platform and a comprehensive monitoring platform; the comprehensive monitoring platform is used for managing user authority, receiving detection data, performing statistical analysis on the detection data and displaying the detection data and a statistical analysis result; the on-site operation and maintenance monitoring subsystem is applied to on-site checking of real-time data collected by the substation fixed-point electromagnetic detection subsystem and the substation robot intelligent inspection subsystem when inspection personnel inspect the substation. According to the invention, intelligent monitoring of detection data of occupational harmful factors of the power grid is realized by setting a uniform data platform.
Description
Technical Field
The invention belongs to the technical field of detection of occupational harmful factors (power frequency electric field, power frequency magnetic field and noise) of a power grid, and relates to an intelligent monitoring platform for the occupational harmful factors of the power grid.
Background
Occupational harmful factors such as power frequency electric fields, power frequency magnetic fields, noise and the like can be generated in the operation process of a transformer substation and a circuit of a power grid, and the occupational harmful factors generated in the power grid need to be detected.
The existing power grid occupational harmful factor detection technology is that detection equipment is used manually, a transformer substation and a power transmission line are set, manual detection is carried out, and time and labor are consumed; when manual testing is used, only data in partial time interval can be detected, and 24h continuous detection cannot be performed; the detection data can be recorded only by hand and is sorted after the detection is finished; during detection, when a person is close to the equipment, interference is generated on detection data; when external personnel enter the transformer substation for detection, the risk of threatening the safe operation of the transformer substation is possibly generated, and certain risk is generated to the personal safety of the entering external personnel due to more high-voltage equipment in the transformer substation. Generally speaking, the prior art does not realize intelligent detection of occupational harmful factors of the power grid, and a unified data platform is not arranged for analyzing and processing data.
Disclosure of Invention
For solving the not enough among the prior art, this application provides a power grid occupational harmful factor intelligent monitoring platform, gathers and analysis processes transformer substation and patrols and examines the detection data of electromagnetic detection system, the fixed point electromagnetic detection system of transformer substation, the individual detecting system of electromagnetic field etc. that the robot carried on.
In order to achieve the above objective, the following technical solutions are adopted in the present application:
a power grid occupational harmful factor intelligent monitoring platform receives power grid occupational harmful factor detection data collected by a substation fixed-point electromagnetic detection subsystem, an electromagnetic field individual detection subsystem and a substation robot intelligent inspection subsystem through a logic processing layer, processes and displays the data, and comprises an operation and maintenance monitoring sub-platform and a comprehensive monitoring platform;
the comprehensive monitoring platform is used for managing user authority, receiving detection data, performing statistical analysis on the detection data and displaying the detection data and a statistical analysis result;
the on-site operation and maintenance monitoring subsystem is applied to on-site checking of real-time data collected by the substation fixed-point electromagnetic detection subsystem and the substation robot intelligent inspection subsystem when inspection personnel inspect the substation.
The invention further comprises the following preferred embodiments:
preferably, the on-site operation and maintenance monitoring subsystem comprises a user login module, a switching module and an on-site display module;
when an inspector inspects a transformer substation, a login request is input through a user login module, the user login module uploads login request information to a comprehensive monitoring platform, and the comprehensive monitoring platform determines whether to approve login and endows corresponding login permission according to the login request information of a user;
the on-site operation and maintenance monitoring subsystem records a transformer substation terminal list, and after a user logs in, the transformer substation to be detected and a corresponding transformer substation robot intelligent inspection subsystem and/or a transformer substation fixed-point electromagnetic detection subsystem are/is selected through a switching module; and receiving and displaying detection data of occupational harmful factors of the corresponding transformer substation power grid, which are issued by the comprehensive detection platform, through the field display module.
Preferably, the on-site operation and maintenance monitoring subsystem further comprises an initialization robot parameter module, and after a user logs in, the initialization robot parameter module issues an instruction to perform initialization operation on the parameters of the intelligent inspection subsystem of the transformer substation robot.
Preferably, the user comprises two types of inspection personnel and operation and maintenance personnel;
when the user login module uploads login request information to the comprehensive monitoring platform, the comprehensive monitoring platform gives different operation management authorities to inspection personnel and operation and maintenance personnel according to different login information;
after logging in, the inspection personnel can only switch the transformer substation to be detected and check the real-time detection data, the historical detection data and the processing and statistical analysis results of the detection data through the field display module;
after logging in, operation and maintenance personnel can initialize the parameters of the intelligent inspection subsystem of the transformer substation robot through the initialized robot parameter module.
Preferably, the on-site operation and maintenance monitoring subsystem is further used for checking the operation condition of the substation robot intelligent inspection subsystem and/or the substation fixed-point electromagnetic detection subsystem on the site after the user logs in;
the operation condition comprises a network connection condition, a detection probe connection condition, a communication condition, a data acquisition condition and probe electric quantity.
Preferably, the comprehensive monitoring platform comprises an organization architecture and authority management module, a detection data receiving module, a data analysis processing module, a harmful factor display module and an alarm module;
the organization architecture and authority management module receives user login request information uploaded by a user login module in the on-site operation and maintenance monitoring subsystem, and determines whether to approve login and endow corresponding login authority according to the login request information of the user;
the detection data receiving module receives power grid occupational harmful factor detection data collected by the substation fixed-point electromagnetic detection subsystem, the electromagnetic field individual detection subsystem and the substation robot intelligent inspection subsystem, data processing and statistical analysis are carried out through the data analysis processing module, and the detection data and the processing and statistical analysis results of the detection data are displayed in real time through the harmful factor display module;
and when the occupational harmful factors of the power grid exceed a set standard threshold value, alarming is carried out through an alarming module.
Preferably, the substation robot intelligent inspection subsystem uploads power grid occupational harmful factor detection data acquired by substation robot intelligent inspection to a detection data receiving module;
the substation fixed-point electromagnetic detection subsystem uploads power grid occupational harmful factor detection data acquired at fixed points to a detection data receiving module;
when the individual detection personnel patrol the transformer substation, the electromagnetic environment data detected in real time is uploaded to the detection data receiving module through the electromagnetic field individual detection subsystem.
Preferably, the substation fixed-point electromagnetic detection subsystem, the electromagnetic field individual detection subsystem and the substation robot intelligent inspection subsystem encrypt detection data in parallel through a slow encryption algorithm and transmit the detection data to the intelligent monitoring platform.
Preferably, the fixed point electromagnetic detection subsystem is used for detecting a fixed point electromagnetic environment of the transformer substation, and detecting a power frequency electric field, a power frequency magnetic field, noise, temperature, humidity and a GPS positioning information detection value of a located point in real time;
the intelligent inspection subsystem of the transformer substation robot is used for carrying out full-automatic intelligent inspection on the electromagnetic environment of the transformer substation and detecting a power frequency electric field, a power frequency magnetic field, noise, temperature, humidity and GPS positioning information detection value of each point in real time;
the electromagnetic field individual detection subsystem is applied to detecting electromagnetic environment data in real time when an individual detector patrols and examines a transformer substation, and comprises a power frequency electric field, a power frequency magnetic field, noise, temperature, humidity and GPS positioning information detection value of the position of the individual detector.
Preferably, the substation fixed-point electromagnetic detection subsystem, the electromagnetic field individual detection subsystem and the substation robot intelligent inspection subsystem transmit real-time data of detected substation power grid occupational harmful factors to a data processing module in a logic processing layer, then push the data to a data transmission module in the logic processing layer, and upload the data to a detection data receiving module through the data transmission module, and in the process of uploading the real-time data of the power grid occupational harmful factors, the monitoring process is carried out through a duty module, so that the continuous operation of the data processing module, the data transmission module and the detection data receiving module is guaranteed.
Preferably, the comprehensive monitoring platform further comprises a database, wherein the database comprises a MySQL database for storing the basic data of the transformer substation and a MongoDB database for storing the detection data.
Preferably, the data analysis processing module processes and statistically analyzes the detection data to obtain coordinates, electric field intensity values and magnetic field intensity values of each point X, Y, Z; noise, temperature and humidity of each point location, a detection mean value of each detection data in the transformer substation at all the point locations, and a detection maximum value and a detection minimum value of each detection data;
in the data analysis processing module, the humidity of each detection point and the power frequency electric field are analyzed according to the detection data of different routing inspection processes, and the electric field intensity contrast of each point under different humidities is obtained;
storing detection data of different inspection processes, establishing a detection data fluctuation range of each detection point according to the maximum value and the minimum value of the accumulated data, setting a control line, performing statistical analysis on data abnormality if the control line is exceeded, and alarming through an alarm module;
when all data are analyzed, occupational health standard limit values, short-time electric field v/m and magnetic field mu T are implanted, correspondingly, the harmful factor display module is provided with a limit line and/or limit surface check module, and a user can independently select whether to display the limit lines and/or the limit surfaces when the detection data or the processing and statistical analysis results of the detection data are displayed.
Preferably, the harmful factor display module displays a three-dimensional data image generated after the detection data of single inspection or the average value of the detection data of multiple inspections is loaded on a transformer substation laser map, wherein the three-dimensional data image comprises coordinates in the direction of X, Y, Z, electric field intensity and magnetic field intensity value;
the noise, the temperature and the humidity of a certain point location in the three-dimensional data image, the detection mean value of each detection data in the transformer substation at all the point locations, and the detection maximum value and the detection minimum value of each detection data can be selectively displayed;
the detection data of different transformer substations of the same type are compared based on the three-dimensional data images, namely, under the condition that the shapes and the set coordinates of the GIS base maps are consistent, the three-dimensional data images are rotated to be overlapped with the GIS base maps for comparison;
two groups of detection data of different electromagnetic field detection heights of the same transformer substation are compared, and the comparison mode comprises the following steps: comparing single test points, and generating data lists for comparison in batches for multiple test points;
all data displayed by the harmful factor display module can generate tables, reports and images.
Preferably, the alarm module gives an alarm when equipment faults occur in the substation fixed-point electromagnetic detection subsystem, the electromagnetic field individual detection subsystem and the substation robot intelligent inspection subsystem;
the alarm module performs data alarm when occupational harmful factors of the power grid exceed a set standard threshold value or data of a certain test point exceed a control line set according to a normal data fluctuation range;
alarm module carries out system's warning when each module trouble of intelligent monitoring platform, includes: and alarming according to the power supply state of the equipment, the network communication state and the working state of the sensor.
The beneficial effect that this application reached:
the intelligent monitoring of the detection data of the occupational harmful factors of the power grid is realized by setting a uniform data platform;
the implementation architecture of the platform can adopt a B/S structure, and the main functions of the software platform are placed on the server, so that the development, maintenance and use of the system are simplified. The structure can reduce the load on the computer after the client is omitted, and the system and the user data are in the server, thereby being convenient for different users to operate and maintain in different places.
Drawings
FIG. 1 is a schematic structural diagram of an intelligent monitoring platform for occupational harmful factors of a power grid;
fig. 2 is a schematic diagram of a three-dimensional data image displayed by a harmful factor presentation module in an embodiment of the present application.
Detailed Description
The present application is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present application is not limited thereby.
As shown in fig. 1, the power grid occupational harmful factor intelligent monitoring platform receives power grid occupational harmful factor detection data acquired by a substation fixed-point electromagnetic detection subsystem, an electromagnetic field individual detection subsystem and a substation robot intelligent inspection subsystem through a logic processing layer, processes and displays the data, and comprises an operation and maintenance monitoring sub-platform 1 and a comprehensive monitoring platform 2;
the on-site operation and maintenance monitoring subsystem 1 is applied to on-site checking of real-time data collected by the substation fixed-point electromagnetic detection subsystem and the substation robot intelligent inspection subsystem when inspection personnel inspect the substation.
In the embodiment of the application, the on-site operation and maintenance monitoring subsystem 1 comprises a user login module 3, a switching module 4 and an on-site display module 6;
when an inspector inspects a transformer substation, a login request is input through the user login module 3, the user login module 3 uploads login request information to the comprehensive monitoring platform 2, and the comprehensive monitoring platform 2 determines whether to approve login and endows corresponding login permission according to the login request information of a user;
the on-site operation and maintenance monitoring subsystem 1 records a transformer substation terminal list, and after a user logs in, the transformer substation to be detected and a corresponding transformer substation robot intelligent inspection subsystem and/or a transformer substation fixed-point electromagnetic detection subsystem are/is selected through the switching module 4; and receiving and displaying detection data of occupational harmful factors of the corresponding transformer substation power grid, which are issued by the comprehensive detection platform, through the field display module 6.
The on-site operation and maintenance monitoring subsystem 1 further comprises an initialization robot parameter module 5, and after a user logs in, the initialization robot parameter module 5 issues an instruction to perform initialization operation on the intelligent inspection subsystem parameters of the transformer substation robot.
The user comprises two types of inspection personnel and operation and maintenance personnel;
when the user login module 3 uploads login request information to the comprehensive monitoring platform 2, the comprehensive monitoring platform 2 gives different operation management authorities to the inspection personnel and the operation and maintenance personnel according to different login information;
after logging in, the inspection personnel can only switch the transformer substation to be detected and check the real-time detection data, the historical detection data and the processing and statistical analysis results of the detection data through the field display module;
after logging in, operation and maintenance personnel can initialize the parameters of the intelligent inspection subsystem of the transformer substation robot through the initialized robot parameter module 5.
The on-site operation and maintenance monitoring subsystem 1 is also used for checking the operation conditions of the intelligent inspection subsystem of the transformer substation robot and/or the fixed-point electromagnetic detection subsystem of the transformer substation on the site after a user logs in;
the operation condition comprises a network connection condition, a detection probe connection condition, a communication condition, a data acquisition condition and probe electric quantity.
The comprehensive monitoring platform 2 is used for managing user authority, receiving detection data, performing statistical analysis on the detection data and displaying the detection data and a statistical analysis result;
the comprehensive monitoring platform 2 comprises an organization architecture and authority management module 7, a detection data receiving module 8, a data analysis processing module 9, a harmful factor display module 10 and an alarm module 11;
the organization architecture and authority management module 7 receives user login request information uploaded by the user login module 3 in the on-site operation and maintenance monitoring subsystem 1, determines whether to approve login and endows corresponding login authority according to the login request information of the user;
the detection data receiving module 8 receives detection data of occupational harmful factors of the power grid, which are acquired by the substation fixed-point electromagnetic detection subsystem, the electromagnetic field individual detection subsystem and the substation robot intelligent inspection subsystem, performs data processing and statistical analysis through the data analysis processing module 9, and displays the detection data and the processing and statistical analysis results of the detection data in real time through the harmful factor display module 10;
and when the occupational harmful factors of the power grid exceed a set standard threshold value, alarming is carried out through an alarming module 11.
The substation robot intelligent inspection subsystem uploads power grid occupational harmful factor detection data acquired by substation robot intelligent inspection to a detection data receiving module 8; the fixed point electromagnetic detection subsystem is used for fixed point electromagnetic environment detection of the transformer substation, and detects detection values of a power frequency electric field, a power frequency magnetic field, noise, temperature, humidity, GPS positioning information and the like of the located point in real time;
the substation fixed-point electromagnetic detection subsystem uploads power grid occupational harmful factor detection data acquired at fixed points to a detection data receiving module 8; the intelligent substation robot inspection subsystem is used for carrying out full-automatic intelligent inspection on the electromagnetic environment of the substation and detecting detection values of a power frequency electric field, a power frequency magnetic field, noise, temperature, humidity, GPS positioning information and the like of each point in real time;
when the individual detection personnel patrol the transformer substation, the electromagnetic environment data detected in real time is uploaded to the detection data receiving module 8 through the electromagnetic field individual detection subsystem. The electromagnetic field individual detection subsystem is applied to detecting electromagnetic environment data in real time when an individual detector patrols and examines a transformer substation, and comprises detection values of a power frequency electric field, a power frequency magnetic field, noise, temperature, humidity, GPS positioning information and the like of the position of the individual detector.
Before the substation fixed-point electromagnetic detection subsystem, the electromagnetic field individual detection subsystem and the substation robot intelligent inspection subsystem transmit detection data to the intelligent monitoring platform, encryption processing is required. Before selecting a safe and reasonable encryption mode, the process of password cracking needs to be known firstly.
And (3) password cracking: namely, the encrypted password is restored to the plaintext password. There are many methods for reduction, but eventually one way is taken: the violence is exhaustive. The principle of exhaustion is simple, so long as the encryption algorithm used by the ciphertext is known, the same algorithm can be used, the common characters are combined and run once, and if the result is the same as the ciphertext, the decryption is successful.
Although brute force exhaustion can break passwords, exhaustion has its speed. That is, the faster the exhaustive cracking, the less secure the encryption scheme and vice versa.
Here, for MD5(Message-Digest Algorithm) encryption as an example, MD5 is a hash function widely used in the field of computer security, which may also be referred to as an information Digest Algorithm, to provide integrity protection for messages. The method can generate a special character string from a character string or a file according to a certain rule (the special character string is called a summary, i understand that the special character string is processed by abstracting some information segments from the file), and the MD5 summary corresponding to a file is fixed, and after the content of the file changes, the MD5 values of the file are different (although theoretically, the same is possible, the probability is extremely small), so that the MD5 values are often used in application to verify whether a piece of data is tampered.
As is well known, MD5 is very fast in encryption, and the consumption of one encryption is only 1 microsecond, so in an exhaustive process, that is, 1 microsecond can complete one comparison, an attacker can compare 100 ten thousand ciphertexts in 1 second, which is only the speed of a single thread, so that MD5 as an irreversible encryption mode may not meet the security requirement of the platform of the present invention at the present stage.
In conclusion, it is possible to clearly reflect the fact that: "the faster the encryption algorithm, the easier it is to crack".
Then, the time for encryption is increased, which is a necessary way to improve the security of encryption. The invention introduces another type of encryption mode, slow encryption.
If the encryption time of MD5(password) is 1 microsecond, the encryption time of MD5(MD5(password)) becomes 2 microseconds, and ten thousand times of the original text is encrypted repeatedly according to the idea, so the encryption time becomes ten thousand times of the original text, and the difficulty of brute force cracking also increases. In fact, such slow encryption algorithms are well established, for example: bcript, script, and the like. They all have a difficulty factor and can control the encryption time.
Wherein bcript is a cross-platform file encryption tool. The file encrypted by it can be transferred on all supported operating systems and processors. Its password must be 8 to 56 characters and will be internally converted to a 448 bit key.
Script is an encryption algorithm that can be applied to html front-end.
However, slow encryption also has significant disadvantages: consuming a significant amount of computer resources. In the past, there was a large gap between the performance of personal computers and servers, so the more expensive processes were placed on the server side. But today, as hardware advances into bottlenecks, this gap is shrinking and the increase in concurrency no longer allows the back-end to do more work like this. Front-end slow encryption is a more reasonable and secure encryption scheme.
The substation fixed-point electromagnetic detection subsystem, the electromagnetic field individual detection subsystem and the substation robot intelligent inspection subsystem parallelly encrypt detection data through a slow encryption algorithm and then transmit the detection data to an intelligent monitoring platform.
The encryption algorithm has long encryption time, three data encryption operations of the substation fixed-point electromagnetic detection subsystem, the electromagnetic field individual detection subsystem and the substation robot intelligent inspection subsystem are performed in a parallel encryption program in order to ensure the continuity and the real-time performance of data in time, and a high-capacity cache area is reserved in the detection data receiving module 8 to cache data because the data uploading speed is higher than the encryption data speed.
The substation fixed-point electromagnetic detection subsystem, the electromagnetic field individual detection subsystem and the substation robot intelligent inspection subsystem transmit real-time data of detected substation power grid occupational harmful factors to the data processing module 21 in the logic processing layer, then push the data to the data transmission module 22 in the logic processing layer, the data is uploaded to the detection data receiving module 8 through the data transmission module 22, in the process of uploading the real-time data of the power grid occupational harmful factors, the monitoring process is carried out through the duty module 23, and continuous operation of the data processing module 21, the data transmission module 22 and the detection data receiving module 8 is guaranteed.
The comprehensive monitoring platform 2 further comprises a database 12, wherein the database 12 comprises a MySQL database for storing basic data of the transformer substation and a MongoDB database for storing detection data.
MySQL (My Structured Query language) is an open source relational database management system (RDBMS) that uses the most common database management language, Structured Query Language (SQL), for database management. Developed by MySQL AB company, sweden, and belongs to the Oracle brand product. MySQL is one of the most popular relational database management systems, and in terms of WEB applications, MySQL is one of the most commonly used relational databases.
The MongoDB is a database based on distributed file storage, is a product between a relational database and a non-relational database, has the most abundant functions in the non-relational database, and is most similar to the relational database. Is one of the commonly used databases. The data structure supported by the method is very loose and is in a json-like bson format, so that more complex data types can be stored. The biggest characteristic of Mongo is that the query language supported by Mongo is very strong, the syntax of Mongo is similar to the object-oriented query language, most functions of single-table query of similar relational databases can be almost realized, and index establishment of data is also supported.
The data analysis processing module 9 processes and statistically analyzes the detection data to obtain coordinates, electric field intensity values and magnetic field intensity values of each point X, Y, Z; noise, temperature and humidity of each point location, a detection mean value of each detection data in the transformer substation at all the point locations, and a detection maximum value and a detection minimum value of each detection data;
in the data analysis processing module 9, the humidity of each detection point and the power frequency electric field are analyzed according to the detection data of different routing inspection processes, so that the electric field intensity contrast of each point under different humidities is obtained;
storing detection data of different inspection processes, establishing a detection data fluctuation range of each detection point according to the maximum value and the minimum value of accumulated data, setting a control line, performing statistical analysis on data abnormality if the control line is exceeded, and alarming through an alarm module 11;
when all data are analyzed, occupational health standard limit values, a short-time electric field of 10000v/m and a magnetic field of 1000 mu T are implanted, correspondingly, the harmful factor display module 10 is provided with a limit line and/or limit surface checking module, and a user can independently select whether to display the limit line and/or the limit surface when the detection data or the processing and statistical analysis results of the detection data are displayed.
As shown in fig. 2, the harmful factor display module 10 displays a three-dimensional data image generated after the detection data of a single inspection or the average value of the detection data of multiple inspections is loaded on a transformer substation laser map, the three-dimensional data image includes coordinates in the direction of X, Y, Z, electric field intensity values and magnetic field intensity values, and the three-dimensional data image can rotate by 360 degrees in order to observe data conveniently;
the noise, the temperature and the humidity of a certain point location in the three-dimensional data image, the detection mean value of each detection data in the transformer substation at all the point locations, and the detection maximum value and the detection minimum value of each detection data can be selectively displayed;
the detection data of different transformer substations of the same type are compared based on the three-dimensional data images, namely, under the condition that the shapes and the set coordinates of the GIS base maps are consistent, the three-dimensional data images are rotated to be overlapped with the GIS base maps for comparison;
GIS (Geographic Information System or Geo-Information System) is sometimes also referred to as a "Geographic Information System". It is a specific and very important spatial information system. The system is a technical system for collecting, storing, managing, operating, analyzing, displaying and describing relevant geographic distribution data in the whole or partial earth surface (including the atmosphere) space under the support of a computer hardware and software system.
Two groups of detection data of different electromagnetic field detection heights of the same transformer substation are compared, and the comparison mode comprises the following steps: comparing single test points, and generating data lists for comparison in batches for multiple test points;
all data displayed by the harmful factor presentation module 10 can generate tables, reports, and images.
The alarm module 11 gives an alarm when equipment faults occur in the substation fixed-point electromagnetic detection subsystem, the electromagnetic field individual detection subsystem and the substation robot intelligent inspection subsystem;
the alarm module 11 performs data alarm when occupational harmful factors of the power grid exceed a set standard threshold value or when data of a certain test point exceed a control line set according to a normal data fluctuation range;
alarm module 11 carries out the system alarm when each module trouble of intelligent monitoring platform, includes: and alarming according to the power supply state of the equipment, the network communication state and the working state of the sensor.
The platform implementation framework of the application adopts a B/S structure (Browser/Server, Browser/Server mode), which is a network structure mode after WEB is started, and the WEB Browser is the most main application software of a client. The mode unifies the client, centralizes the core part of the system function realization to the server, and simplifies the development, maintenance and use of the system. The client only needs to install a browser, such as Netscape Navigator or Internet Explorer, and the Server installs databases such as SQL Server, Oracle, MYSQL and the like. And the browser performs data interaction with the database through the Web Server.
The main functions of the software platform are placed on the server, and the development, maintenance and use of the system are simplified. The front-end page is constructed by using an HTML + CSS technology, a Server-end database adopts an SQL Server, Java Script is used for page data transmission and local page refreshing, and a Request is sent to a Server through an Xml Http Request and a response is processed. The network development platform takes C # as a background program language, takes HTML5 as a main development language in the foreground, and introduces JavaScript and CSS as page display support. In addition, the Ajax technology is adopted to realize data interaction and page non-refreshing. The software part needs to load Visual Studio 2010 and Microsoft SQL Server on the Windows platform. The intelligent monitoring of the detection data of the occupational harmful factors of the power grid can be realized.
The Ajax (Asynchronous Javascript And XML) Asynchronous Javascript And XML refers to a web page development technology for creating interactive And fast dynamic web page applications, And a technology capable of updating a part of web pages without reloading the whole web page.
By exchanging a small amount of data with the server in the background, Ajax can enable the webpage to be updated asynchronously. This means that certain parts of the web page can be updated without reloading the entire web page.
Html (hypertext Markup language) hypertext Markup language is a Markup language designed for "web page creation and other information visible in a web browser". HTML is used to structure information such as titles, paragraphs, and lists, and the like, and also to describe to some extent the appearance and semantics of a document. HTML, created in 1982 by tim banus-li, further developed by IETF using a simplified SGML (standard generalized markup language) grammar, was later becoming an international standard, maintained by the world wide web consortium (W3C).
CSS (Cascading Style Sheets) is a computer language used to represent file styles such as HTML (an application of standard general markup language) or XML (a subset of standard general markup language). The CSS can not only statically modify the web page, but also dynamically format elements of the web page in coordination with various scripting languages.
The CSS can accurately control the typesetting of element positions in the webpage at a pixel level, supports almost all font and font styles and has the capability of editing webpage objects and model styles.
SQL Server (Structured Query Language Server) is a relational database management system introduced by Microsoft corporation. The method has the advantages of convenient use, good scalability, high integration degree of related software and the like, and can be used across a plurality of platforms from a laptop running Microsoft Windows 98 to a server running a large-scale multiprocessor of Microsoft Windows 2012.
Microsoft SQL Server is a comprehensive database platform that provides enterprise-level data management using integrated Business Intelligence (BI) tools. The Microsoft SQL Server database engine provides a safer and more reliable storage function for the relational data and the structured data, so that a high-availability and high-performance data application program for business can be constructed and managed.
JavaScript ("JS") is a lightweight, interpreted or just-in-time programming language with function precedence. Although it is named as a scripting language for developing Web pages, it is also used in many non-browser environments, JavaScript is based on prototypical programming, multi-modal dynamic scripting languages, and supports object-oriented, imperative, and declarative (e.g., functional programming) styles.
Xmlhttprequest (xhr) is an API that can be used by JavaScript, JScript, VBScript, and other Web browser scripting languages to transfer XML data to and from a Web server using HTTP to establish an independent connection channel between the client and server sides of a Web page.
The data returned from the XMLHttpRequest call is typically provided by a back-end database. In addition to XML, XMLHttpRequest can also be used to obtain data in other formats, such as JSON or even plain text.
HTML5(HyperText Markup Language 5) is a Language description way to build Web content.
The present applicant has described and illustrated embodiments of the present invention in detail with reference to the accompanying drawings, but it should be understood by those skilled in the art that the above embodiments are merely preferred embodiments of the present invention, and the detailed description is only for the purpose of helping the reader to better understand the spirit of the present invention, and not for limiting the scope of the present invention, and on the contrary, any improvement or modification made based on the spirit of the present invention should fall within the scope of the present invention.
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Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5243293A (en) * | 1989-05-29 | 1993-09-07 | Ngk Insulators, Ltd. | System utilizing optical current sensors for detecting fault location in substation |
| RU14793U1 (en) * | 2000-04-11 | 2000-08-27 | Открытое акционерное общество научно-технический центр "Энергосбережение" | TEMPERATURE CONTROL AND CONTROL SYSTEM AT SUBSTATIONS |
| CN102280826A (en) * | 2011-07-30 | 2011-12-14 | 山东鲁能智能技术有限公司 | Intelligent robot inspection system and intelligent robot inspection method for transformer station |
| CN103760427A (en) * | 2014-01-15 | 2014-04-30 | 国家电网公司 | Statistical method of power frequency electromagnetic field distribution rules in transformer substation |
| CN106418865A (en) * | 2016-11-10 | 2017-02-22 | 国家电网公司 | Intelligent patrol safety helmet for transformer substation |
| CN106979799A (en) * | 2017-03-01 | 2017-07-25 | 国网浙江省电力公司宁波供电公司 | The safe auxiliary monitoring system of grid equipment |
| CN107479476A (en) * | 2017-09-28 | 2017-12-15 | 河南汇纳科技有限公司 | A kind of monitoring system of the electromagnetic environment of intelligent grid |
| CN108038567A (en) * | 2017-12-01 | 2018-05-15 | 安徽中科超安科技有限公司 | Nuclear power station region emergency evacuation system based on running fix Yu Radiation monitoring data |
| CN108649695A (en) * | 2018-05-22 | 2018-10-12 | 四川超影科技有限公司 | A kind of intelligent inspection system based on intelligent robot |
| CN108924168A (en) * | 2018-09-06 | 2018-11-30 | 广东电网有限责任公司 | A kind of service scheduling system and business interlock method of Intelligent Mobile Robot |
| CN110488841A (en) * | 2019-09-03 | 2019-11-22 | 国网湖南省电力有限公司 | Transformer equipment joint cruising inspection system and its application method based on intelligent robot |
| CN110707823A (en) * | 2019-11-08 | 2020-01-17 | 国网上海市电力公司 | A multi-dimensional intelligent remote inspection system for substations |
| CN112880732A (en) * | 2019-11-29 | 2021-06-01 | 国网山东省电力公司电力科学研究院 | Power grid occupational harmful factor monitoring system |
-
2021
- 2021-01-14 CN CN202110048385.9A patent/CN112730995A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5243293A (en) * | 1989-05-29 | 1993-09-07 | Ngk Insulators, Ltd. | System utilizing optical current sensors for detecting fault location in substation |
| RU14793U1 (en) * | 2000-04-11 | 2000-08-27 | Открытое акционерное общество научно-технический центр "Энергосбережение" | TEMPERATURE CONTROL AND CONTROL SYSTEM AT SUBSTATIONS |
| CN102280826A (en) * | 2011-07-30 | 2011-12-14 | 山东鲁能智能技术有限公司 | Intelligent robot inspection system and intelligent robot inspection method for transformer station |
| CN103760427A (en) * | 2014-01-15 | 2014-04-30 | 国家电网公司 | Statistical method of power frequency electromagnetic field distribution rules in transformer substation |
| CN106418865A (en) * | 2016-11-10 | 2017-02-22 | 国家电网公司 | Intelligent patrol safety helmet for transformer substation |
| CN106979799A (en) * | 2017-03-01 | 2017-07-25 | 国网浙江省电力公司宁波供电公司 | The safe auxiliary monitoring system of grid equipment |
| CN107479476A (en) * | 2017-09-28 | 2017-12-15 | 河南汇纳科技有限公司 | A kind of monitoring system of the electromagnetic environment of intelligent grid |
| CN108038567A (en) * | 2017-12-01 | 2018-05-15 | 安徽中科超安科技有限公司 | Nuclear power station region emergency evacuation system based on running fix Yu Radiation monitoring data |
| CN108649695A (en) * | 2018-05-22 | 2018-10-12 | 四川超影科技有限公司 | A kind of intelligent inspection system based on intelligent robot |
| CN108924168A (en) * | 2018-09-06 | 2018-11-30 | 广东电网有限责任公司 | A kind of service scheduling system and business interlock method of Intelligent Mobile Robot |
| CN110488841A (en) * | 2019-09-03 | 2019-11-22 | 国网湖南省电力有限公司 | Transformer equipment joint cruising inspection system and its application method based on intelligent robot |
| CN110707823A (en) * | 2019-11-08 | 2020-01-17 | 国网上海市电力公司 | A multi-dimensional intelligent remote inspection system for substations |
| CN112880732A (en) * | 2019-11-29 | 2021-06-01 | 国网山东省电力公司电力科学研究院 | Power grid occupational harmful factor monitoring system |
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