CN109522380B - Mobile application-oriented power grid disaster comprehensive monitoring and early warning data system and method - Google Patents

Mobile application-oriented power grid disaster comprehensive monitoring and early warning data system and method Download PDF

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CN109522380B
CN109522380B CN201811216973.3A CN201811216973A CN109522380B CN 109522380 B CN109522380 B CN 109522380B CN 201811216973 A CN201811216973 A CN 201811216973A CN 109522380 B CN109522380 B CN 109522380B
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CN109522380A (en
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孙世军
杜军
张治取
韩洪
翟季青
张鹏
赵鹏
王春义
李佑蓉
杨光
张彬
刘玉恒
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State Grid Shandong Electric Power Co Emergency Management Center
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    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
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Abstract

A power grid disaster comprehensive monitoring and early warning data system facing mobile application comprises a power grid disaster comprehensive monitoring and early warning data platform facing mobile application, wherein the platform divides a monitored area into a plurality of subareas, and each subarea is provided with a corresponding disaster real-time monitoring module so as to acquire real-time data of the corresponding subarea; the real-time data are transmitted to a meteorological analysis module and a database server, the meteorological analysis module carries out preliminary analysis on the real-time data, and an analysis result is transmitted to a disaster early warning module; and the disaster early warning module performs joint analysis on the real-time data transmitted by the weather analysis module and historical data information in the database server, and if the disaster early warning module gives an alarm, the monitoring management user generating the alarm area and the monitoring management users near the alarm area are highlighted and displayed at the switchboard and the mobile terminals of all the monitoring management users.

Description

Mobile application-oriented power grid disaster comprehensive monitoring and early warning data system and method
Technical Field
The application relates to the field of power grid disaster early warning, in particular to a power grid disaster comprehensive monitoring and early warning data integration system for mobile application.
Background
For a long time, extreme weather and disasters such as rain, snow, ice, typhoon, strong convection, mountain fire and the like cause serious damage and loss to power grid facilities. However, when the electric power emergency disposal is carried out, monitoring and early warning, aggregation and evacuation and hazardous chemical risk pre-control technologies are lacked, personal and power grid safety is seriously threatened, and particularly, 8.12 Tianjin harbors are particularly serious fire and explosion accidents, so that a lot of inspirations and warnings are brought in the aspects of safety, science, professional emergency, active early warning and the like. In recent years, by using advanced concepts such as internet plus and cloud movement, the relevant big data value of power grid disasters is fully excavated, a power grid GIS (geographic information system), professional weather, auxiliary decision and mobile application are used as a technical main line, and the research on power grid disaster comprehensive monitoring and early warning data integration technology oriented to mobile application is developed, so that a new emergency handling mode is greatly promoted, decision support is provided for power system emergency management, weather disaster prevention and reduction, production operation, fine scheduling management and the like, and the influence of the weather disasters on power grid operation is reduced to the maximum extent.
The power grid GIS is applied to the power industry from the nineties, is widely applied to various links of power generation, power transmission, power transformation, power distribution, scheduling, marketing, communication and the like of power grid enterprises, and is mainly used for realizing power grid resource management and graphical display and structured management of a power grid. The domestic power grid GIS application emphasizes the large networking of all links of the power grid. At present, domestic enterprises mainly apply power grid GIS in power grid planning, design, production, emergency disaster relief, rescue and relief and the like. Especially, the application in production and emergency disaster relief is wider. The GIS-based weather accurate correlation technology is widely applied to Shandong electric power, Fujian electric power, Zhejiang electric power and the like in China, improves the capability of an electric power system in resisting natural disasters for emergency disposal, creates better conditions for safe and stable economic operation of a power grid, and has remarkable economic and social benefits.
The integrated technology research of comprehensive monitoring and early warning data of power grid disasters facing mobile application combines power grid equipment and meteorological element information, realizes the correlation of the power grid equipment, a power grid operation mode and meteorological data, and performs accurate analysis research. By applying meteorological data, the precision of power grid operation forecast early warning is improved, emergency resource waste is effectively reduced, intuitive and all-around real-time monitoring on occurrence and development of typhoon, rainstorm, strong convection and other disastrous weather of a power grid is realized, the movement and evolution of weather systems are tracked, and an analysis basis is provided for forecasting and forecasting the disastrous weather.
At present, domestic related mobile applications mainly focus on meteorological information early warning, line patrol, navigation, data acquisition, communication scheduling and the like, related functions are mature, but the functions of the mobile applications are relatively single, the mobile application functions comprise various mobile applications such as early warning, inquiry, reporting, positioning, navigation, communication, data acquisition and the like, and application requirements are expanded.
In order to further improve the efficiency of comprehensive monitoring and early warning and emergency disposal of power grid disasters, research on integration technology of comprehensive monitoring and early warning data of power grid disasters facing mobile application needs to be developed urgently, however, power grid data has the characteristics of data dispersion, large volume, complex storage formats, various types and the like, and related data of the comprehensive monitoring and early warning of the power grid disasters have different platforms, application systems and data formats, so that information and resources are dispersed, the isomerism is serious, the data cannot be shared horizontally, the vertical communication between upper and lower stages is difficult, and the data is characterized by multiple sources and isomerism. The meteorological disasters are regional and have short judgment time, and the influence of the intensity, the influence time and the influence range on power grid equipment, operation and the like is different. If the meteorological information cannot be associated with the power grid GIS platform system, the influence of meteorological disasters on power grid equipment and operation cannot be timely and accurately obtained, and the meteorological phenomena cannot play a corresponding early warning role on the power grid. Meanwhile, the demands of power grid operation and emergency disposal on weather technology support such as real-time weather information and timely monitoring and early warning of various disasters are higher and higher, and the integrated technology of comprehensive monitoring and early warning data of power grid disasters facing mobile application needs to be improved urgently.
The integrated technology research of comprehensive monitoring and early warning data of power grid disasters facing mobile application promotes intelligent emergency, carries out data integration of professional meteorological data, power grid GIS data, emergency resource data and the like, realizes accurate association and positioning influence analysis of power grid equipment and meteorological and emergency data and the like through an accurate association technology, promotes innovation of an emergency disposal mode, and realizes typical application of typhoon early warning, suspected fire point monitoring, meteorological monitoring and early warning of important power transmission corridors and disaster-prone areas and the like.
Disclosure of Invention
The invention provides a power grid disaster comprehensive monitoring and early warning data system and method for mobile application, which at least solve the problems.
According to one aspect of the invention, a power grid disaster comprehensive monitoring and early warning data system for mobile application is provided, which is characterized in that: including towards the power grid disaster comprehensive monitoring early warning data platform of mobile application, this platform includes: the system comprises a disaster early warning module, a plurality of disaster real-time monitoring modules, a meteorological analysis module and a database server, wherein the platform is connected with a plurality of monitoring management users and a switchboard through a user position real-time sharing module, and is also connected with the switchboard;
the platform divides a monitored area into a plurality of subareas, and each subarea is provided with a corresponding disaster real-time monitoring module so as to acquire real-time data of the corresponding subarea; the real-time data are transmitted to a meteorological analysis module and a database server, the meteorological analysis module carries out preliminary analysis on the real-time data, and an analysis result is transmitted to a disaster early warning module; and the disaster early warning module performs joint analysis on the real-time data transmitted by the weather analysis module and historical data information in the database server, and if the disaster early warning module gives an alarm, the monitoring management user generating the alarm area and the monitoring management users near the alarm area are highlighted and displayed at the switchboard and the mobile terminals of all the monitoring management users. .
Preferably, data acquisition, forwarding, analysis and prediction of corresponding disaster real-time monitoring modules in different regions are realized in the platform through Software Defined Network (SDN) technology;
in the platform, the SDN controller controls data collected by the corresponding disaster real-time monitoring module to be forwarded to the database server and the meteorological analysis module; the analysis result of the weather analysis module and historical books stored in the database server can be transmitted to the disaster early warning module;
establishing a monitoring management user position real-time sharing network, and marking the real-time position of the specific monitoring management user of the corresponding district in a switchboard display and a navigation map of a mobile terminal of each monitoring management user when receiving a disaster alarm of the specific district; the real-time positions of monitoring management users near the alarm generating area are marked with yellow marks on a switchboard display and a navigation map of a mobile terminal of each monitoring management user;
the system also comprises a registration module which can set the authority for the monitoring management user, only the user who registers in the system and passes the verification can become the monitoring management user, and the authority for applying the navigation map at the mobile terminal is obtained.
Preferably, each disaster real-time monitoring module can acquire five types of parameters such as wind power, air humidity, surface temperature, illumination intensity and sound intensity of a corresponding area;
the database server can receive and store the parameter values acquired by the disaster real-time monitoring modules corresponding to the various regions.
The meteorological analysis module can receive the parameter values acquired by the disaster real-time monitoring module corresponding to each parcel, analyze the meteorological conditions in the current parcel of each parcel, set a wind power maximum threshold value, an air maximum humidity threshold value, a ground surface temperature maximum threshold value, a light intensity maximum threshold value and a sound intensity maximum threshold value, perform preliminary disaster judgment, and send the parameter values of the parameters when disasters historically occur and the parameter values of each parcel acquired currently to the disaster early warning module if the parameter values are abnormal; and if no parameter value is abnormal, only sending information of no abnormality to the disaster early warning module.
The disaster early warning module can receive various data sent by the weather analysis module, further judge the disaster after receiving parameter values of parameters of any subarea which are subjected to the historical disaster occurrence and currently collected parameter values of each subarea, generate an alarm signal if the judgment result is that the disaster is about to occur, and send the alarm signal to the switchboard;
after receiving the alarm signal, the switchboard determines the segment to be subjected to disaster, highlights the corresponding segment to be subjected to disaster in a navigation map, identifies monitoring management users of the segment to be subjected to disaster and users closest to the segment to be subjected to disaster, highlights the monitoring management users and the users respectively, updates the highlighted navigation map information, and updates the navigation map information in the mobile terminal of each monitoring management user through a user position real-time sharing module.
Preferably, when the weather analysis module performs the preliminary disaster determination, if the current wind power in the parcel is greater than the set maximum wind power threshold, or the current air humidity value in the parcel is not between the set maximum air humidity threshold and the set minimum air humidity threshold, or the current ground surface temperature value in the parcel is not between the set maximum ground surface temperature threshold and the set minimum ground surface temperature threshold, or the current illumination intensity value in the parcel is not between the set maximum illumination intensity threshold and the minimum illumination intensity threshold, or the current sound intensity in the parcel is greater than the set maximum sound intensity threshold, it is determined that the parameter value is abnormal;
when carrying out disaster early warning, the disaster early warning module carries out disaster judgment according to the acquired parameter values of the parameters of all the districts which have been subjected to the disaster in history and the currently acquired parameter values of all the districts, and the specific judgment process is as follows: transmitting various parameter values in the area with abnormal parameter values preliminarily determined by the weather analysis module after preliminary disaster judgment to a disaster early warning module to judge the parameter types of the abnormal parameter values, calling the parameter information of the historical disaster containing one and/or a plurality of abnormal parameter types in the database server according to the judged abnormal parameter types, after classifying according to the parameter types of the abnormal parameters, taking an arithmetic mean value of historical disaster abnormal parameter information, and carrying out parameter value subtraction on the similar parameter types and various abnormal parameter values in a region with parameter value abnormality preliminarily determined by the weather analysis module after preliminary disaster judgment according to the principle that the parameter types are the same, obtaining the difference value of each abnormal parameter, if the difference value is less than 0, judging that the disaster is about to occur and immediately controlling an alarm module to alarm; if the difference values are larger than 0, continuing to monitor, if the monitoring processes continuously aiming at the same region and continuously three times trigger the prediction process, and the difference values in the continuous three-measurement prediction module are larger than 0, controlling the alarm module to give an alarm.
On the basis of the other aspect of the invention, a power grid disaster comprehensive monitoring and early warning data method for mobile application is provided, and is characterized in that:
the real-time positions of all monitoring management users are issued to a switchboard through a user position real-time sharing module, and the real-time positions are displayed at the switchboard through a display;
dividing a monitored area into a plurality of subareas, wherein each subarea is provided with a corresponding disaster real-time monitoring module so as to acquire real-time data of the corresponding subarea; the real-time data are transmitted to a meteorological analysis module and a database server, the meteorological analysis module carries out preliminary analysis on the real-time data, and an analysis result is transmitted to a disaster early warning module; and the disaster early warning module performs joint analysis on the real-time data transmitted by the weather analysis module and historical data information in the database server, and if the disaster early warning module gives an alarm, the monitoring management user generating the alarm area and the monitoring management users near the alarm area are highlighted and displayed at the switchboard and the mobile terminals of all the monitoring management users.
Preferably, data acquisition, forwarding, analysis and prediction of corresponding disaster real-time monitoring modules in different regions are realized in the platform through Software Defined Network (SDN) technology;
in the platform, the SDN controller controls data collected by the corresponding disaster real-time monitoring module to be forwarded to the database server and the meteorological analysis module; transmitting the analysis result of the weather analysis module to the disaster early warning module;
establishing a monitoring management user position real-time sharing network, and marking the real-time position of the specific monitoring management user of the corresponding district in a switchboard display and a navigation map of a mobile terminal of each monitoring management user when receiving a disaster alarm of the specific district; the real-time positions of monitoring management users near the alarm generating area are marked with yellow marks on a switchboard display and a navigation map of a mobile terminal of each monitoring management user;
and setting the authority for the monitoring management user through the registration module, wherein the user who is registered in the system and passes the verification can become the monitoring management user, and the authority for applying the navigation map at the mobile terminal is obtained.
Preferably, each disaster real-time monitoring module can acquire five types of parameter values of wind power, air humidity, surface temperature, illumination intensity, sound intensity and the like of a corresponding parcel;
enabling the database server to receive and store the parameter values acquired by the disaster real-time monitoring modules corresponding to the various regions,
receiving the parameter values acquired by the disaster real-time monitoring module corresponding to each parcel through a meteorological analysis module, analyzing the meteorological conditions in the current parcel of each parcel, setting a wind power maximum threshold value, an air maximum humidity threshold value, a ground surface temperature maximum threshold value, a light intensity maximum threshold value and a sound intensity maximum threshold value, performing preliminary disaster judgment, and if the parameter values are abnormal, transmitting the currently acquired parameter values of each parcel to a disaster early warning module; and if no parameter value is abnormal, only sending information of no abnormality to the disaster early warning module.
Receiving various types of data sent by a weather analysis module through a disaster early warning module, further judging disasters after receiving parameter values of parameters of any subarea which are subjected to historical disaster occurrence and currently acquired parameter values of each subarea, generating an alarm signal if the judgment result is that the disasters are about to occur, and sending the alarm signal to a switchboard;
after receiving the alarm signal, the switchboard judges the section to be subjected to disaster, highlights the corresponding section to be subjected to disaster in a navigation map, identifies monitoring management users of the section to be subjected to disaster and users closest to the section to be subjected to disaster, highlights the monitoring management users respectively, updates the highlighted navigation map information, and updates the navigation map information in the mobile terminal of each monitoring management user through a user position real-time sharing module.
Preferably, when the preliminary disaster determination is performed by the weather analysis module, if the current wind power in a parcel is greater than the set wind power maximum threshold value, or the current air humidity value in the parcel is greater than the set air maximum humidity threshold value, or the current ground surface temperature value in the parcel is greater than the set ground surface temperature maximum threshold value, or the current illumination intensity value in the parcel is greater than the set illumination intensity maximum threshold value, or the current sound intensity in the parcel is greater than the set sound intensity maximum threshold value, it is determined that a parameter value is abnormal;
when carrying out the calamity early warning through calamity early warning module, parameter value and the parameter value of each district that gathers at present when taking place the calamity in the history according to the district that obtains carry out calamity and judge, concrete decision-making process is: transmitting various parameter values in the area with abnormal parameter values preliminarily determined by the weather analysis module after preliminary disaster judgment to a disaster early warning module to judge the parameter types of the abnormal parameter values, calling historical disaster parameter information containing one and/or a plurality of abnormal parameter types in a database server according to the judged abnormal parameter types, classifying according to the parameter types of abnormal parameters, calculating an average value of historical disaster abnormal parameter information, and performing parameter value subtraction according to the same parameter type and various abnormal parameter values in a region with parameter value abnormality preliminarily determined by the weather analysis module after preliminary disaster judgment, obtaining the difference value of each abnormal parameter, if the difference value is less than 0, judging that the disaster is about to occur and immediately controlling an alarm module to alarm; if the difference values are larger than 0, continuing to monitor, if the monitoring processes continuously aiming at the same region and continuously three times trigger the prediction process, and the difference values in the continuous three-measurement prediction module are larger than 0, controlling the alarm module to give an alarm. The method can reduce the workload of manually judging the possibility of disaster occurrence when the current wind power, air humidity and ground surface temperature in the jurisdiction area are abnormal
By adopting the mobile application-oriented power grid disaster comprehensive monitoring and early warning data system and method to monitor the area covered by the power grid, the position of disaster occurrence can be more accurately positioned according to the divided areas, the data transmission can be more accurately managed by adopting the software defined network technology in the mobile application-oriented power grid disaster comprehensive monitoring and early warning data platform, the accuracy of prediction can be improved by carrying out combined prediction with historical parameter values in specific areas, the basic prediction of the meteorological analysis module and the good opportunity prediction of the accurate prediction of the disaster prediction module are arranged, the prediction accuracy can be improved, the working pressure of the modules in the system can be reduced, and maintenance personnel can respond to the highlight display of a user through a navigation map in a switchboard and a mobile terminal of a monitoring and managing user, The system can provide navigation services with different authority levels according to different monitoring management user levels, and each monitoring management user can conveniently and quickly feed back to the switchboard and quickly contact other monitoring management users; the workload of manually judging the possibility of disaster occurrence can be reduced when the current wind power, air humidity and ground surface temperature in the jurisdiction area are abnormal.
Drawings
In order to more clearly illustrate the embodiments or technical solutions of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts
Fig. 1 is a block diagram of an architecture of a comprehensive monitoring and early warning data system for power grid disaster for mobile applications according to an embodiment of the present invention;
fig. 2 is a structural block diagram of a comprehensive monitoring and early warning data platform for power grid disasters for mobile applications according to an embodiment of the invention;
fig. 3 is a block diagram of a structure for implementing data forwarding based on a software-defined network in a mobile application-oriented power grid disaster comprehensive monitoring and early warning data platform according to an embodiment of the present invention;
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings in the embodiments of the present invention.
Fig. 1 is a block diagram of an architecture of a mobile application-oriented power grid disaster comprehensive monitoring and early warning data system according to an embodiment of the present invention, and as shown in fig. 1, the mobile application-oriented power grid disaster comprehensive monitoring and early warning data system is characterized in that: the comprehensive monitoring and early warning system comprises a power grid disaster comprehensive monitoring and early warning data platform facing mobile application, wherein the platform is connected with a plurality of monitoring management users and a switchboard through a user position real-time sharing module, and meanwhile, the platform is also connected with the switchboard.
Fig. 2 is a block diagram of a mobile application-oriented power grid disaster comprehensive monitoring and early warning data platform according to an embodiment of the present invention, where the mobile application-oriented power grid disaster comprehensive monitoring and early warning data platform includes: the disaster early warning system comprises a disaster early warning module, a plurality of disaster real-time monitoring modules, a weather analysis module and a database server.
The platform divides a monitored area into a plurality of subareas, and each subarea is provided with a corresponding disaster real-time monitoring module so as to acquire real-time data of the corresponding subarea; the real-time data are transmitted to a meteorological analysis module and a database server, the meteorological analysis module carries out preliminary analysis on the real-time data, and an analysis result is transmitted to a disaster early warning module; and the disaster early warning module performs joint analysis on the real-time data transmitted by the weather analysis module and historical data information in the database server, and if the disaster early warning module gives an alarm, the monitoring management user generating the alarm area and the monitoring management users near the alarm area are highlighted and displayed at the switchboard and the mobile terminals of all the monitoring management users.
When the meteorological analysis module is used for carrying out primary disaster judgment, if the current wind power in a parcel is larger than the set maximum wind power threshold value, or the current air humidity value in the parcel is not between the set maximum air humidity threshold value and the minimum air humidity threshold value, or the current earth surface temperature value in the parcel is not between the set maximum earth surface temperature threshold value and the minimum earth surface temperature threshold value, or the current illumination intensity value in the parcel is not between the set maximum illumination intensity threshold value and the minimum illumination intensity threshold value, or the current sound intensity in the parcel is larger than the set maximum sound intensity threshold value, judging that the parameter value is abnormal;
when carrying out disaster early warning, the disaster early warning module carries out disaster judgment according to the acquired parameter values of the parameters of all the districts which have been subjected to the disaster in history and the currently acquired parameter values of all the districts, and the specific judgment process is as follows: transmitting various parameter values in the area with abnormal parameter values preliminarily determined by the weather analysis module after preliminary disaster judgment to a disaster early warning module to judge the parameter types of the abnormal parameter values, calling the parameter information of the historical disaster containing one and/or a plurality of abnormal parameter types in the database server according to the judged abnormal parameter types, after classifying according to the parameter types of the abnormal parameters, taking an arithmetic mean value of historical disaster abnormal parameter information, and carrying out parameter value subtraction on the similar parameter types and various abnormal parameter values in a region with parameter value abnormality preliminarily determined by the weather analysis module after preliminary disaster judgment according to the principle that the parameter types are the same, obtaining the difference value of each abnormal parameter, if the difference value is less than 0, judging that the disaster is about to occur and immediately controlling an alarm module to alarm; if the difference values are larger than 0, continuing to monitor, if the monitoring processes continuously aiming at the same region and continuously three times trigger the prediction process, and the difference values in the continuous three-measurement prediction module are larger than 0, controlling the alarm module to give an alarm.
For example: when the disaster early warning module judges that the air humidity of the parcel A is larger than the set maximum air humidity threshold value, the current parameter data of the parcel A is sent to the disaster early warning module, the disaster early warning module obtains historical disaster parameter information of which all stored air humidities are larger than the set maximum air humidity threshold value from a database server after receiving the parameters of the parcel A, the historical disaster parameter information is an average value of all air humidities in 30 days before the occurrence time of the historical disasters, the obtained historical disaster parameter information is summed and divided by the times of the disasters of which the air humidities are larger than the set maximum air humidity threshold value in the history to obtain suspected disaster air humidity parameter values, namely, the average values of all the air humidities in 30 days before the occurrence time of the disasters of which the air humidities are larger than the set maximum air humidity threshold value in each time are summed and divided by the times of the historical disasters in the example to obtain the suspected disaster air humidity parameter values, subtracting the current air humidity value detected in the parcel A from the suspected disaster-occurring air humidity parameter value in the parcel A to obtain an air humidity judgment parameter, and if the air humidity judgment parameter is less than 0, giving an alarm; if the prediction process is started for the monitoring process of the area A for three times and the obtained judgment parameters are all smaller than 0, the alarm module is informed to send an alarm.
Fig. 3 is a block diagram of a structure for implementing data forwarding based on a software-defined network in a mobile-application-oriented power grid disaster comprehensive monitoring and early warning data platform according to an embodiment of the present invention, where as shown in fig. 3, the platform divides a monitored area into a plurality of subareas, and each subarea is provided with a corresponding disaster real-time monitoring module to collect real-time data of the corresponding subarea. And realizing data acquisition, forwarding, analysis and prediction of corresponding disaster real-time monitoring modules in different areas in the platform by Software Defined Network (SDN) technology.
In the platform, the SDN controller controls data collected by the corresponding disaster real-time monitoring module to be forwarded to the database server and the meteorological analysis module; and the analysis result of the weather analysis module and historical books stored in the database server can be transmitted to the disaster early warning module.
The disaster real-time monitoring modules can acquire five types of parameters such as wind power, air humidity, surface temperature, illumination intensity and sound intensity of corresponding areas;
the database server can receive and store the parameter values acquired by the disaster real-time monitoring modules corresponding to the various regions, and only records all the parameter information 30 days before the last disaster and all the parameter information 30 days before the occurrence time of all historical disasters.
The meteorological analysis module can receive the parameter values acquired by the disaster real-time monitoring module corresponding to each parcel, analyze the meteorological conditions in the current parcel of each parcel, set a wind power maximum threshold value, an air maximum humidity threshold value, a ground surface temperature maximum threshold value, a light intensity maximum threshold value and a sound intensity maximum threshold value, perform preliminary disaster judgment, and send the parameter values of each parcel acquired currently to the disaster early warning module if the parameter values are abnormal; and if no parameter value is abnormal, only sending information of no abnormality to the disaster early warning module.
And the disaster early warning module can receive various types of data sent by the weather analysis module, further judge the disaster after receiving parameter values of parameters of any subarea which are subjected to the historical disaster occurrence and currently collected parameter values of each subarea, and generate a warning signal and send the warning signal to the switchboard if the judgment result is that the disaster is about to occur.
In the system established by the invention, a monitoring management user position real-time sharing network can be established, and when disaster warning of a specific district is received, the specific monitoring management user real-time position of the corresponding district is marked in a switchboard display and a navigation map of a mobile terminal of each monitoring management user; and the real-time positions of the monitoring management users near the alarm generating area are marked with yellow marks on a switchboard display and a navigation map of a mobile terminal of each monitoring management user. And after receiving the alarm signal, the switchboard determines the section to be subjected to disaster, highlights the corresponding section to be subjected to disaster in a navigation map, identifies monitoring management users of the section to be subjected to disaster and users closest to the section to be subjected to disaster, highlights the monitoring management users respectively, updates the highlighted navigation map information, and updates the navigation map information in the mobile terminal of each monitoring management user through a user position real-time sharing module.
The system also comprises a registration module which can set the authority for the monitoring management user, only the user who registers in the system and passes the verification can become the monitoring management user, and the authority for applying the navigation map at the mobile terminal is obtained. The authority levels are divided into three levels, when disaster warning occurs, a first-level monitoring management user can receive a highlight information prompt in a navigation map, namely, map information of the navigation map after highlight display is obtained, navigation can be performed by using the map, and a switchboard mark in the navigation map can be pressed for a long time so as to send a message that warning information is received to a switchboard and the message is shared by the switchboard to the navigation map of each monitoring management user mobile terminal; when disaster warning occurs, the secondary monitoring management user can obtain the map information of the navigation map after highlight display, can utilize the map for navigation, can press the switchboard mark in the navigation map for a long time to send a message that the warning information is received to the switchboard and share the message in the navigation map of each monitoring management user mobile terminal by the switchboard, and can also obtain the contact information of the clicked icon user by clicking the icons of other monitoring management users in the navigation map; the third-level monitoring management user not only obtains all the permissions of the second-level user, but also can directly dial the mobile phone of the corresponding icon user in a mode of continuously clicking the icon user, for example: and the mobile phone of the corresponding icon user can be directly dialed by double clicking the icons of other monitoring users.
On the basis of the other aspect of the invention, a power grid disaster comprehensive monitoring and early warning data method for mobile application is provided, and is characterized in that:
the real-time positions of all monitoring management users are issued to a switchboard through a user position real-time sharing module, and the real-time positions are displayed at the switchboard through a display;
dividing a monitored area into a plurality of subareas, wherein each subarea is provided with a corresponding disaster real-time monitoring module so as to acquire real-time data of the corresponding subarea; the real-time data are transmitted to a meteorological analysis module and a database server, the meteorological analysis module carries out preliminary analysis on the real-time data, and an analysis result is transmitted to a disaster early warning module; and the disaster early warning module performs joint analysis on the real-time data transmitted by the weather analysis module and historical data information in the database server, and if the disaster early warning module gives an alarm, the monitoring management user generating the alarm area and the monitoring management users near the alarm area are highlighted and displayed at the switchboard and the mobile terminals of all the monitoring management users.
Preferably, data acquisition, forwarding, analysis and prediction of corresponding disaster real-time monitoring modules in different regions are realized in the platform through Software Defined Network (SDN) technology;
in the platform, the SDN controller controls data collected by the corresponding disaster real-time monitoring module to be forwarded to the database server and the meteorological analysis module; transmitting the analysis result of the weather analysis module to the disaster early warning module;
establishing a monitoring management user position real-time sharing network, and marking the real-time position of the specific monitoring management user of the corresponding district in a switchboard display and a navigation map of a mobile terminal of each monitoring management user when receiving a disaster alarm of the specific district; the real-time positions of monitoring management users near the alarm generating area are marked with yellow marks on a switchboard display and a navigation map of a mobile terminal of each monitoring management user;
and setting the authority for the monitoring management user through the registration module, wherein the user who is registered in the system and passes the verification can become the monitoring management user, and the authority for applying the navigation map at the mobile terminal is obtained.
Preferably, each disaster real-time monitoring module can acquire five types of parameter values of wind power, air humidity, surface temperature, illumination intensity, sound intensity and the like of a corresponding parcel;
enabling the database server to receive and store the parameter values acquired by the disaster real-time monitoring modules corresponding to the various regions,
receiving the parameter values acquired by the disaster real-time monitoring module corresponding to each parcel through a meteorological analysis module, analyzing the meteorological conditions in the current parcel of each parcel, setting a wind power maximum threshold value, an air maximum humidity threshold value, a ground surface temperature maximum threshold value, a light intensity maximum threshold value and a sound intensity maximum threshold value, performing preliminary disaster judgment, and if the parameter values are abnormal, transmitting the currently acquired parameter values of each parcel to a disaster early warning module; and if no parameter value is abnormal, only sending information of no abnormality to the disaster early warning module.
Receiving various types of data sent by a weather analysis module through a disaster early warning module, further judging disasters after receiving parameter values of parameters of any subarea which are subjected to historical disaster occurrence and currently acquired parameter values of each subarea, generating an alarm signal if the judgment result is that the disasters are about to occur, and sending the alarm signal to a switchboard;
after receiving the alarm signal, the switchboard judges the section to be subjected to disaster, highlights the corresponding section to be subjected to disaster in a navigation map, identifies monitoring management users of the section to be subjected to disaster and users closest to the section to be subjected to disaster, highlights the monitoring management users respectively, updates the highlighted navigation map information, and updates the navigation map information in the mobile terminal of each monitoring management user through a user position real-time sharing module.
Preferably, when the preliminary disaster determination is performed by the weather analysis module, if the current wind power in a parcel is greater than the set wind power maximum threshold value, or the current air humidity value in the parcel is greater than the set air maximum humidity threshold value, or the current ground surface temperature value in the parcel is greater than the set ground surface temperature maximum threshold value, or the current illumination intensity value in the parcel is greater than the set illumination intensity maximum threshold value, or the current sound intensity in the parcel is greater than the set sound intensity maximum threshold value, it is determined that a parameter value is abnormal;
when carrying out the calamity early warning through calamity early warning module, parameter value and the parameter value of each district that gathers at present when taking place the calamity in the history according to the district that obtains carry out calamity and judge, concrete decision-making process is: transmitting various parameter values in the area with abnormal parameter values preliminarily determined by the weather analysis module after preliminary disaster judgment to a disaster early warning module to judge the parameter types of the abnormal parameter values, calling historical disaster parameter information containing one and/or a plurality of abnormal parameter types in a database server according to the judged abnormal parameter types, classifying according to the parameter types of the abnormal parameters, taking an arithmetic mean value of historical disaster abnormal parameter information, and carrying out parameter value subtraction on the similar parameter types and various abnormal parameter values in a region with parameter value abnormality preliminarily determined by the weather analysis module after preliminary disaster judgment according to the principle that the parameter types are the same, obtaining the difference value of each abnormal parameter, if the difference value is less than 0, judging that the disaster is about to occur and immediately controlling an alarm module to alarm; if the difference values are larger than 0, continuing to monitor, if the monitoring processes continuously aiming at the same region and continuously three times trigger the prediction process, and the difference values in the continuous three-measurement prediction module are larger than 0, controlling the alarm module to give an alarm.
By adopting the mobile application-oriented power grid disaster comprehensive monitoring and early warning data system and the method to monitor the area covered by the power grid, the position of the disaster can be more accurately positioned according to the divided areas, the data transmission can be more accurately managed by adopting the software defined network technology in the mobile application-oriented power grid disaster comprehensive monitoring and early warning data platform, the accuracy of the prediction can be improved by carrying out combined prediction with the historical parameter values in the specific areas, the basic prediction of the meteorological analysis module and the good opportunity prediction of the accurate prediction of the disaster prediction module are arranged, the prediction accuracy can be improved, the working pressure of the modules in the system can be reduced, and the load of a database server can be reduced by storing the data in the specific time period through the database server, the method has the advantages that the historical data acquisition speed is increased, the calculation amount of the prediction module is reduced, the system maintenance is facilitated, the highlight display of corresponding users is carried out through the navigation map in the mobile terminal of the switchboard and the monitoring management user, so that maintenance personnel, management personnel and scheduling personnel can react in time to control disasters or reduce losses caused by disasters, the monitoring management user with different authorities can carry out accurate and hierarchical management on the monitoring management user, the attention and management of low-authority users are carried out through high-authority users, the working pressure of the switchboard and the scheduling personnel is reduced, and the flexible coping on disasters is facilitated.
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 changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.

Claims (6)

1. The utility model provides a power grid disaster comprehensive monitoring early warning data system towards mobile application which characterized in that: including towards the power grid disaster comprehensive monitoring early warning data platform of mobile application, this platform includes: the system comprises a disaster early warning module, a plurality of disaster real-time monitoring modules, a meteorological analysis module and a database server, wherein the platform is connected with a plurality of monitoring management users and a switchboard through a user position real-time sharing module, and is also connected with the switchboard;
the platform divides a monitored area into a plurality of subareas, and each subarea is provided with a corresponding disaster real-time monitoring module so as to acquire real-time data of the corresponding subarea; the real-time data are transmitted to a meteorological analysis module and a database server, the meteorological analysis module carries out preliminary analysis on the real-time data, and an analysis result is transmitted to a disaster early warning module; the disaster early warning module performs joint analysis on the real-time data transmitted by the weather analysis module and historical data information in the database server, and if the disaster early warning module gives an alarm, the monitoring management user generating the alarm area and the monitoring management users near the alarm area are highlighted at the switchboard and the mobile terminals of all the monitoring management users;
when the meteorological analysis module is used for carrying out primary disaster judgment, if the current wind power in a district is greater than the set maximum wind power threshold value, or the current air humidity value in the district is greater than the set maximum air humidity threshold value, or the current earth surface temperature value in the district is greater than the set maximum earth surface temperature threshold value, or the current illumination intensity value in the district is greater than the set maximum illumination intensity threshold value, or the current sound intensity in the district is greater than the set maximum sound intensity threshold value, judging that the parameter value is abnormal;
when carrying out disaster early warning, the disaster early warning module carries out disaster judgment according to the acquired parameter values of the parameters of all the districts which have been subjected to the disaster in history and the currently acquired parameter values of all the districts, and the specific judgment process is as follows: transmitting various parameter values in the area with abnormal parameter values preliminarily determined by the weather analysis module after preliminary disaster judgment to a disaster early warning module to judge the parameter types of the abnormal parameter values, calling the parameter information of the historical disaster containing one and/or a plurality of abnormal parameter types in the database server according to the judged abnormal parameter types, after classifying according to the parameter types of the abnormal parameters, taking an arithmetic mean value of historical disaster abnormal parameter information, and carrying out parameter value subtraction on the similar parameter types and various abnormal parameter values in a region with parameter value abnormality preliminarily determined by the weather analysis module after preliminary disaster judgment according to the principle that the parameter types are the same, obtaining the difference value of each abnormal parameter, if the difference value is less than 0, judging that the disaster is about to occur and immediately controlling an alarm module to alarm; if the difference values are larger than 0, continuing to monitor, and if the monitoring processes continuously aiming at the same region for three times trigger the prediction process, and the difference values in the continuous three-time prediction module are larger than 0, controlling the alarm module to give an alarm;
the system also comprises a registration module which can set authority for monitoring and managing users, only the users who are registered in the system and pass the audit can become the monitoring and managing users, and the authority of the navigation map applied to the mobile terminal is obtained, wherein the authority level is divided into three levels, the first-level monitoring and managing user can receive the highlight information prompt in the navigation map when disaster warning occurs, namely the map information after the navigation map is highlighted is obtained, the map can be used for navigation, and the switchboard mark in the navigation map can be pressed for a long time to send the message of 'warning information has been received' to the switchboard and the switchboard shares the message with the navigation map of the mobile terminal of each monitoring and managing user; when disaster warning occurs, the secondary monitoring management user can obtain the map information of the navigation map after highlight display, can utilize the map for navigation, can press the switchboard mark in the navigation map for a long time to send a message that the warning information is received to the switchboard and share the message in the navigation map of each monitoring management user mobile terminal by the switchboard, and can also obtain the contact information of the clicked icon user by clicking the icons of other monitoring management users in the navigation map; the third-level monitoring management user can obtain all the authorities of the second-level user, and can directly dial the mobile phone of the corresponding icon user by double-clicking the icons of other monitoring users.
2. The power grid disaster comprehensive monitoring and early warning data system for mobile application as claimed in claim 1, wherein: data acquisition, forwarding, analysis and prediction of corresponding disaster real-time monitoring modules in different areas are realized in the platform through Software Defined Network (SDN) technology;
in the platform, the SDN controller controls data collected by the corresponding disaster real-time monitoring module to be forwarded to the database server and the meteorological analysis module; the analysis result of the weather analysis module and historical books stored in the database server can be transmitted to the disaster early warning module;
establishing a monitoring management user position real-time sharing network, and marking the real-time position of the specific monitoring management user of the corresponding district in a switchboard display and a navigation map of a mobile terminal of each monitoring management user when receiving a disaster alarm of the specific district; the real-time positions of monitoring management users near the alarm generating area are marked with yellow marks on a switchboard display and a navigation map of a mobile terminal of each monitoring management user;
the system also comprises a registration module which can set the authority for the monitoring management user, only the user who registers in the system and passes the verification can become the monitoring management user, and the authority for applying the navigation map at the mobile terminal is obtained.
3. The power grid disaster comprehensive monitoring and early warning data system for mobile application as claimed in claim 1, wherein:
each disaster real-time monitoring module can acquire five types of parameters of wind power, air humidity, surface temperature, illumination intensity and sound intensity of a corresponding area;
the database server can receive and store the parameter values collected by the disaster real-time monitoring modules corresponding to the various districts,
the meteorological analysis module can receive the parameter values acquired by the disaster real-time monitoring module corresponding to each parcel, analyze the meteorological conditions in the current parcel of each parcel, set a wind power maximum threshold value, an air maximum humidity threshold value, a ground surface temperature maximum threshold value, a light intensity maximum threshold value and a sound intensity maximum threshold value, perform preliminary disaster judgment, and send the parameter values of each parcel acquired currently to the disaster early warning module if the parameter values are abnormal; if any parameter value is not abnormal, only sending information of no abnormality to the disaster early warning module;
the disaster early warning module can receive various data sent by the weather analysis module, further judge the disaster after receiving parameter values of parameters of any subarea which are subjected to the historical disaster occurrence and currently collected parameter values of each subarea, generate an alarm signal if the judgment result is that the disaster is about to occur, and send the alarm signal to the switchboard;
after receiving the alarm signal, the switchboard determines the segment to be subjected to disaster, highlights the corresponding segment to be subjected to disaster in a navigation map, identifies monitoring management users of the segment to be subjected to disaster and users closest to the segment to be subjected to disaster, highlights the monitoring management users and the users respectively, updates the highlighted navigation map information, and updates the navigation map information in the mobile terminal of each monitoring management user through a user position real-time sharing module.
4. A power grid disaster comprehensive monitoring and early warning data method for mobile application is characterized by comprising the following steps:
the real-time positions of all monitoring management users are issued to a switchboard through a user position real-time sharing module, and the real-time positions are displayed at the switchboard through a display;
dividing a monitored area into a plurality of subareas, wherein each subarea is provided with a corresponding disaster real-time monitoring module so as to acquire real-time data of the corresponding subarea; the real-time data are transmitted to a meteorological analysis module and a database server, the meteorological analysis module carries out preliminary analysis on the real-time data, and an analysis result is transmitted to a disaster early warning module; the disaster early warning module performs joint analysis on the real-time data transmitted by the weather analysis module and historical data information in the database server, and if the disaster early warning module gives an alarm, the monitoring management user generating the alarm area and the monitoring management users near the alarm area are highlighted at the switchboard and the mobile terminals of all the monitoring management users;
when the meteorological analysis module is used for carrying out primary disaster judgment, if the current wind power in a parcel is greater than the set maximum wind power threshold value, or the current air humidity value in the parcel is greater than the set maximum air humidity threshold value, or the current earth surface temperature value in the parcel is greater than the set maximum earth surface temperature threshold value, or the current illumination intensity value in the parcel is greater than the set maximum illumination intensity threshold value, or the current sound intensity in the parcel is greater than the set maximum sound intensity threshold value, judging that the parameter value is abnormal;
when carrying out the calamity early warning through calamity early warning module, parameter value and the parameter value of each district that gathers at present when taking place the calamity in the history according to the district that obtains carry out calamity and judge, concrete decision-making process is: transmitting various parameter values in the area with abnormal parameter values preliminarily determined by the weather analysis module after preliminary disaster judgment to a disaster early warning module to judge the parameter types of the abnormal parameter values, calling historical disaster parameter information containing one and/or a plurality of abnormal parameter types in a database server according to the judged abnormal parameter types, classifying according to the parameter types of the abnormal parameters, taking an arithmetic mean value of historical disaster abnormal parameter information, and carrying out parameter value subtraction on the similar parameter types and various abnormal parameter values in a region with parameter value abnormality preliminarily determined by the weather analysis module after preliminary disaster judgment according to the principle that the parameter types are the same, obtaining the difference value of each abnormal parameter, if the difference value is less than 0, judging that the disaster is about to occur and immediately controlling an alarm module to alarm; if the difference values are larger than 0, continuing to monitor, and if the monitoring processes continuously aiming at the same region for three times trigger the prediction process, and the difference values in the continuous three-time prediction module are larger than 0, controlling the alarm module to give an alarm;
the method can also set the authority for the monitoring management user through the registration module, the user who is only registered in the system and passes the audit can become the monitoring management user, and the authority for applying the navigation map at the mobile terminal is obtained, wherein the authority level is divided into three levels, the first-level monitoring management user can receive the highlight information prompt in the navigation map when disaster warning occurs, namely the map information after the navigation map is highlighted is obtained, the map can be used for navigation, and the switchboard mark in the navigation map can be pressed for a long time to send the message of 'warning information received' to the switchboard and the switchboard shares the message with the navigation map of the mobile terminal of each monitoring management user; when disaster warning occurs, the secondary monitoring management user can obtain the map information of the navigation map after highlight display, can utilize the map for navigation, can press the switchboard mark in the navigation map for a long time to send a message that the warning information is received to the switchboard and share the message in the navigation map of each monitoring management user mobile terminal by the switchboard, and can also obtain the contact information of the clicked icon user by clicking the icons of other monitoring management users in the navigation map; the third-level monitoring management user can obtain all the authorities of the second-level user, and can directly dial the mobile phone of the corresponding icon user by double-clicking the icons of other monitoring users.
5. The power grid disaster comprehensive monitoring and early warning data method oriented to mobile application as claimed in claim 4, wherein the data processing method comprises the following steps: the method comprises the steps that data collection, forwarding, analysis and prediction of corresponding disaster real-time monitoring modules in different areas are achieved in a platform through Software Defined Network (SDN) technology; in the platform, the SDN controller controls data collected by the corresponding disaster real-time monitoring module to be forwarded to the database server and the meteorological analysis module; transmitting the analysis result of the weather analysis module to the disaster early warning module;
establishing a monitoring management user position real-time sharing network, and marking the real-time position of the specific monitoring management user of the corresponding district in a switchboard display and a navigation map of a mobile terminal of each monitoring management user when receiving a disaster alarm of the specific district; the real-time positions of monitoring management users near the alarm generating area are marked with yellow marks on a switchboard display and a navigation map of a mobile terminal of each monitoring management user;
the registration module is used for setting the authority for the monitoring management user, only the user who is registered in the system and passes the verification can become the monitoring management user, and the authority for applying the navigation map at the mobile terminal is obtained.
6. The power grid disaster comprehensive monitoring and early warning data method oriented to mobile application as claimed in claim 4, wherein the data processing method comprises the following steps: each disaster real-time monitoring module can acquire five types of parameter values of wind power, air humidity, surface temperature, illumination intensity and sound intensity of a corresponding area; enabling the database server to receive and store the parameter values acquired by the disaster real-time monitoring modules corresponding to the various regions,
receiving the parameter values acquired by the disaster real-time monitoring module corresponding to each parcel through a meteorological analysis module, analyzing the meteorological conditions in the current parcel of each parcel, setting a wind power maximum threshold value, an air maximum humidity threshold value, a ground surface temperature maximum threshold value, a light intensity maximum threshold value and a sound intensity maximum threshold value, performing preliminary disaster judgment, and if the parameter values are abnormal, transmitting the currently acquired parameter values of each parcel to a disaster early warning module; if any parameter value is not abnormal, only sending information of no abnormality to the disaster early warning module;
receiving various types of data sent by a weather analysis module through a disaster early warning module, further judging disasters after receiving parameter values of parameters of any subarea which are subjected to historical disaster occurrence and currently acquired parameter values of each subarea, generating an alarm signal if the judgment result is that the disasters are about to occur, and sending the alarm signal to a switchboard;
after receiving the alarm signal, the switchboard judges the section to be subjected to disaster, highlights the corresponding section to be subjected to disaster in a navigation map, identifies monitoring management users of the section to be subjected to disaster and users closest to the section to be subjected to disaster, highlights the monitoring management users respectively, updates the highlighted navigation map information, and updates the navigation map information in the mobile terminal of each monitoring management user through a user position real-time sharing module.
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