CN109215275B - Fire monitoring and early warning method based on temperature data in power grid operation - Google Patents
Fire monitoring and early warning method based on temperature data in power grid operation Download PDFInfo
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Abstract
The invention provides a fire monitoring and early warning method based on temperature data in power grid operation, which comprises the following steps: and constructing vectorization grids aiming at the provincial GIS map, and associating the temperature data in each region with the grids. And predicting the possibility of fire according to the temperature data of each meteorological monitoring point and the temperature data of the day transmitted by the meteorological satellite, and forwarding the data by using a software defined network when transmitting the temperature data and the early warning data in each area. And can give suggestions for checking and adjusting the sensors to improve the accuracy of meteorological monitoring.
Description
Technical Field
The invention relates to the technical field of fire monitoring and early warning, in particular to a fire monitoring and early warning method based on temperature data in power grid operation.
Background
With the continuous deep application of power grid meteorological data and the continuous improvement of the requirement on accurate data analysis, the existing dot-shaped data format based on the meteorological monitoring station can not meet the increasing business application requirement, the power supply area of the power system is increased, the influence of meteorological factors on the power system is reflected on the dot instead of the surface, generally, the geographic range of the predicted area is large, and the main factors influencing the operation of power grid equipment by each sub-area in the predicted area, such as the temperature of each area, the rainfall condition and the like, are greatly different.
The gridding service is an innovative working mode, and carries out overall integration on grid equipment data gridding, meteorological data gridding and a power grid GIS platform according to the idea of grid management, and meanwhile, an electronic map and a modern information technology are used for scientifically dividing grids in a certain area. The grid service is utilized to improve the accuracy of meteorological data, reasonably and accurately estimate the variation trend of various meteorological real-time data, and the grid service has important significance for basic weather forecast and real-time monitoring of power grid equipment data.
The data of the ground observation station has higher reliability, but for the Chinese region, the observation station has obvious discontinuity on the spatial distribution, presents a east-west sparse state and has larger influence on the quality of the grid point data based on ground observation.
In the prior art, when a fire disaster happens in a temperature prediction area, the fire disaster is generally judged according to the current temperature, or the difference between the temperature data sent by a meteorological satellite and the current temperature is judged, but the method does not consider the temperature fluctuation in one day, and the judged data is inaccurate; meanwhile, in the data transmission process, data forwarding and control cannot be separated based on the existing architecture, so that the system is updated slowly when the system is upgraded or new applications are added; it also fails to reflect the possibility of fire and whether the event is urgent.
The invention seeks a new idea on grid data service, gridding the power grid facility region according to the power grid equipment and the meteorological prediction data, and establishing the accuracy of the influence prediction of the meteorological data on the grid power grid equipment.
Disclosure of Invention
The purpose of the invention is realized by the following technical scheme.
In order to solve the above problems, the present invention provides a monitoring and early warning method based on gridding meteorological data in the operation of a power grid, the method comprises:
step 1): and forming vectorization grids according to the provincial GIS map, wherein the grids are regions taking n x n as a unit, a switch is arranged in a region actually corresponding to each vectorization grid, and n is a natural number larger than 1.
Further, the provincial GIS map includes power grid facility basic data, and specifically includes: the method comprises the following steps of name, GIS three-dimensional map coordinate, altitude, jurisdiction area, start time, completion time, facility type, three-dimensional space data of each type of facility, personnel type, personnel number and preset threshold value of each meteorological type.
Step 2): and acquiring temperature data D [ D ] collected by each power grid facility temperature sensor in real time aiming at the provinces1,d2,…dn2]And D [ D ]1,d2,…dn2]Associating into the vectorized mesh;
further: temperature data D [ D ] collected in real time1,d2,…dn2]The display is performed at the display device of the switchboard in a manner corresponding to the respective vectorized meshes.
Step 3): transmitting the temperature data collected in each vectorization grid to a total data analysis module through a switch of a corresponding area, wherein the total data analysis module obtains the temperature data D [ D ] collected by each sensor of each power grid facility in real time1,d2,…dn2]Storing;
further, the monitoring and early warning method further comprises the following steps: the stored historical temperature data lasts for 1.5 hours, and the stored historical temperature data is automatically deleted after 1.5 hours.
Step 4): scoring the fire hazard probability of the areas corresponding to the grids; judging whether data inspection and adjustment need to be carried out on each sensor of each power grid facility or not by combining historical fire hazard possibility scores, if so, executing the step 5), and if not, executing the step 6);
furthermore, the historical fire risk probability scores of the regions actually corresponding to each vectorization grid are stored in a score storage module in the total data analysis module and are not deleted.
Further, when the fire hazard possibility evaluation is carried out on the area corresponding to each grid, the following steps are carried out:
A) the total data analysis module obtains temperature data of the current day corresponding to actual regions corresponding to all vectorization grids sent by the meteorological satellite, and calculates average temperatures of the two current days
And T2And (2) setting a fire risk possibility scoring factor C, wherein A is the highest temperature of the day, and B is the lowest temperature of the day.
B) If the current time is 0: 00-10: 00 or 16: 00-24: 00, then the way to calculate the fire risk potential score is: c ═ current temperature-T1If C is less than or equal to 0 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 0; if 5 deg.C>C is more than or equal to 0 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 1; if 10 deg.C>C is more than or equal to 5 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 2; if 15 deg.C>C is more than or equal to 10 ℃, the fire hazard possibility of the actual area corresponding to the current vectorization grid is 3; if 25 deg.C>C is more than or equal to 15 ℃, the fire hazard possibility of the actual area corresponding to the current vectorization grid is scored as 4; and if the C is more than or equal to 25 ℃, directly sending red fire alarm information of the region corresponding to the score to the switchboard.
If the current time is 10: 00-16: 00, then the way to calculate the fire risk potential score is: c ═ current temperature-T2If C is less than or equal to 0 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 0; if 5 deg.C>C is more than or equal to 0 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 1; if 10 deg.C>C is more than or equal to 5 ℃, the fire hazard danger of the actual area corresponding to the current vectorization gridA risk potential score of 2; if 15 deg.C>C is more than or equal to 10 ℃, the fire hazard possibility of the actual area corresponding to the current vectorization grid is 3; if 25 deg.C>C is more than or equal to 15 ℃, the fire hazard possibility of the actual area corresponding to the current vectorization grid is scored as 4; and if the C is more than or equal to 25 ℃, directly sending red fire alarm information of the region corresponding to the score to the switchboard.
C) And if the fire risk possibility score of the actual area corresponding to the current vectorization grid is 0 or 1 for three consecutive times, executing the step 5).
D) If the score is other, executing step 6).
Step 5): carrying out data inspection and adjustment on each sensor of each power grid facility according to the fire hazard possibility score;
further, each sensor in the actual region corresponding to the vectorization mesh having a fire risk probability score of 0 or 1 for three consecutive times is checked and adjusted.
Step 6): predicting whether a fire disaster will occur in an area actually corresponding to the vectorization grid by combining the historical fire risk possibility score;
further, if the fire risk possibility score of the actual area corresponding to the current vectorization grid is 2 for three consecutive times, green fire alarm information of the area corresponding to the score is sent to the switchboard. And if the two scores of 3 exist in the fire hazard possibility scores of the actual areas corresponding to the three current vectorization grids, sending blue fire alarm information of the areas corresponding to the scores to the switchboard. And if the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 4, sending yellow fire hazard alarm information of the area corresponding to the score to the switchboard. The green fire alarm information and the blue fire alarm information indicate that a fire possibly occurs, a switchboard dispatching company manager is requested to go to the site for investigation, and the blue fire alarm information indicates that the possibility of the fire occurring in the area is greater than that of the area marked by the green fire alarm information; the yellow fire alarm information indicates that a fire has started and the fire is gradually intensified, and the red fire alarm information indicates that the fire is violent, please request fire support quickly.
Further, if a fire disaster happens in the area actually corresponding to the vectorization grid, the cameras in the corresponding area are started.
Further, the cameras in the corresponding areas transmit pictures shot in real time to the switchboard and the mobile terminal equipment associated with the switchboard. The mobile terminal device associated with the switchboard can be a mobile phone, a user of the mobile phone is a security worker in a company, and the security worker needs to register worker information and mobile terminal information in the switchboard in advance.
Furthermore, the scoring of the fire risk possibility of the area corresponding to each grid is performed every 1 hour.
Further, the monitoring and early warning method utilizes a Software Defined Network (SDN) to transmit data. The method comprises the steps that a corresponding switch is arranged in an area actually corresponding to each vectorization grid, collected temperature data are transmitted to a total data analysis module through the switches in the area by the temperature sensors in the area actually corresponding to each vectorization grid, all the switches are controlled by the same controller, and data forwarding is carried out according to a flow table rule issued by the same controller when the data forwarding is carried out.
The invention has the advantages that:
(1) the province GIS map is divided by adopting a vectorization grid method, so that the radius range of fire prediction is reduced, the prediction accuracy is improved, and an emergency plan can be made quickly and accurately;
(2) the possibility of fire occurrence is divided, and events with high possibility of fire occurrence can be processed preferentially under the condition of limited manpower;
(3) in consideration of temperature change in one day, a higher average temperature algorithm is adopted to calculate the judgment parameter of the fire occurrence possibility in a time period with higher temperature in one day, and a lower average temperature algorithm is adopted to calculate the judgment parameter of the fire occurrence possibility in a time period with lower temperature in one day, so that the prediction accuracy is improved;
(4) by only predicting the fire at the position of the power grid facility, the complexity of data operation is reduced, and the real-time performance of system early warning is ensured.
(5) It is possible to give a reference in certain situations to the possibility that sensors in an area need to be examined and adjusted.
(6) The SDN is used for forwarding and controlling the data, so that the efficiency of the system during updating is improved, and the control process during data forwarding is more convenient.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 is a flow chart of a monitoring and early warning method in operation of a power grid based on gridded meteorological data according to an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
According to an embodiment of the present invention, a monitoring and early warning method based on gridding meteorological data in power grid operation is provided, as shown in fig. 1, the method includes:
step 1): and forming vectorization grids according to the provincial GIS map, wherein the grids are regions taking n x n as a unit, a switch is arranged in a region actually corresponding to each vectorization grid, and n is a natural number larger than 1.
Further, the provincial GIS map includes power grid facility basic data, and specifically includes: the method comprises the following steps of name, GIS three-dimensional map coordinate, altitude, jurisdiction area, start time, completion time, facility type, three-dimensional space data of each type of facility, personnel type, personnel number and preset threshold value of each meteorological type.
Step 2): acquiring temperature data acquired by each power grid facility temperature sensor in real time aiming at the provinces, and associating the temperature data acquired in each region into the vectorization grid;
further: and displaying the temperature data acquired in real time at a display device of the switchboard in a manner corresponding to each vectorization grid.
Step 3): transmitting the temperature data acquired in each vectorization grid to a total data analysis module through a switch in a corresponding area, wherein the total data analysis module stores the temperature data acquired by each sensor of each power grid facility acquired in real time;
further, the monitoring and early warning method further comprises the following steps: the stored historical temperature data lasts for 1.5 hours, and the stored historical temperature data is automatically deleted after 1.5 hours.
Step 4): scoring the fire hazard probability of the areas corresponding to the grids; judging whether data inspection and adjustment need to be carried out on each sensor of each power grid facility or not by combining historical fire hazard possibility scores, if so, executing the step 5), and if not, executing the step 6);
furthermore, the historical fire risk probability scores of the regions actually corresponding to each vectorization grid are stored in a score storage module in the total data analysis module and are not deleted.
Further, when the fire hazard possibility evaluation is carried out on the area corresponding to each grid, the following steps are carried out:
A) the total data analysis module obtains temperature data of the current day corresponding to actual regions corresponding to all vectorization grids sent by the meteorological satellite, and calculates average temperatures of the two current days
And T2And (2) setting a fire risk possibility scoring factor C, wherein A is the highest temperature of the day, and B is the lowest temperature of the day.
B) If the current time is 0: 00-10: 00 or 16: 00-24: 00, then the way to calculate the fire risk potential score is: c ═ current temperature-T1If C is less than or equal to 0 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 0; if 5 deg.C>C is more than or equal to 0 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 1; if 10 deg.C>C is more than or equal to 5 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 2; if 15 deg.C>C is more than or equal to 10 ℃, the fire hazard possibility of the actual area corresponding to the current vectorization grid is 3; if 25 deg.C>C is more than or equal to 15 ℃, the fire hazard possibility of the actual area corresponding to the current vectorization grid is scored as 4; and if the C is more than or equal to 25 ℃, directly sending red fire alarm information of the region corresponding to the score to the switchboard.
If the current time is 10: 00-16: 00, then the way to calculate the fire risk potential score is: c ═ current temperature-T2If C is less than or equal to 0 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 0; if 5 deg.C>C is more than or equal to 0 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 1; if 10 deg.C>C is more than or equal to 5 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 2; if 15 deg.C>C is more than or equal to 10 ℃, the fire hazard possibility of the actual area corresponding to the current vectorization grid is 3; if 25 deg.C>C is more than or equal to 15 ℃, the fire hazard possibility of the actual area corresponding to the current vectorization grid is scored as 4; and if the C is more than or equal to 25 ℃, directly sending red fire alarm information of the region corresponding to the score to the switchboard.
C) And if the fire risk possibility score of the actual area corresponding to the current vectorization grid is 0 or 1 for three consecutive times, executing the step 5).
D) If the score is other, executing step 6).
Step 5): carrying out data inspection and adjustment on each sensor of each power grid facility according to the fire hazard possibility score;
further, each sensor in the actual region corresponding to the vectorization mesh having a fire risk probability score of 0 or 1 for three consecutive times is checked and adjusted.
Step 6): predicting whether a fire disaster will occur in an area actually corresponding to the vectorization grid by combining the historical fire risk possibility score;
further, if the fire risk possibility score of the actual area corresponding to the current vectorization grid is 2 for three consecutive times, green fire alarm information of the area corresponding to the score is sent to the switchboard. And if the two scores of 3 exist in the fire hazard possibility scores of the actual areas corresponding to the three current vectorization grids, sending blue fire alarm information of the areas corresponding to the scores to the switchboard. And if the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 4, sending yellow fire hazard alarm information of the area corresponding to the score to the switchboard. The green fire alarm information and the blue fire alarm information indicate that a fire possibly occurs, a switchboard dispatching company manager is requested to go to the site for investigation, and the blue fire alarm information indicates that the possibility of the fire occurring in the area is greater than that of the area marked by the green fire alarm information; the yellow fire alarm information indicates that a fire has started and the fire is gradually intensified, and the red fire alarm information indicates that the fire is violent, please request fire support quickly.
Further, if a fire disaster happens in the area actually corresponding to the vectorization grid, the cameras in the corresponding area are started.
Further, the cameras in the corresponding areas transmit pictures shot in real time to the switchboard and the mobile terminal equipment associated with the switchboard. The mobile terminal device associated with the switchboard can be a mobile phone, a user of the mobile phone is a security worker in a company, and the security worker needs to register worker information and mobile terminal information in the switchboard in advance.
Furthermore, the scoring of the fire risk possibility of the area corresponding to each grid is performed every 1 hour.
Further, the monitoring and early warning method utilizes a Software Defined Network (SDN) to transmit data. The method comprises the steps that a corresponding switch is arranged in an area actually corresponding to each vectorization grid, collected temperature data are transmitted to a total data analysis module through the switches in the area by the temperature sensors in the area actually corresponding to each vectorization grid, all the switches are controlled by the same controller, and data forwarding is carried out according to a flow table rule issued by the same controller when the data forwarding is carried out.
The embodiment provides a fire monitoring and early warning method based on temperature data in the operation of a power grid, and a vectorization grid is adopted to divide an provincial GIS map, so that the radius range of meteorological prediction is reduced. Meanwhile, the power grid facility field data, the sensor data and the meteorological data of each meteorological monitoring point are combined, and the power grid facility field meteorological data are predicted by adopting an inverse distance weight method, so that the accuracy of meteorological prediction is improved. The sensor data is adopted to adjust the coefficients of the meteorological data of each meteorological monitoring point, so that the accuracy and the authenticity of meteorological prediction are further improved. Moreover, the invention only carries out meteorological prediction on the position of the power grid facility, and starts the on-site camera of the power grid facility when the meteorological data of the on-site power grid facility exceeds a preset threshold value, thereby reducing the calculated amount and the transmission amount of data and further improving the overall operation efficiency of the system.
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 (4)
1. A fire monitoring and early warning method based on temperature data in power grid operation comprises the following steps:
step 1): forming vectorization grids according to the provincial GIS map, wherein the grids are unit areas in n x n, an exchanger is arranged in an area actually corresponding to each vectorization grid, and n is a natural number larger than 1;
step 2): for the province, acquiring temperature data D [ D1, D2, … dn2] collected by each power grid facility temperature sensor in real time, and associating D [ D1, D2, … dn2] into the vectorization grid;
step 3): transmitting the temperature data collected in each vectorization grid to a total data analysis module through a switch of a corresponding area, wherein the total data analysis module stores the temperature data D [ D1, D2, … dn2] collected by each sensor of each power grid facility and acquired in real time;
the duration of the stored historical temperature data is 1.5 hours;
automatically deleting the historical temperature data after 1.5 hours;
step 4): scoring the fire hazard probability of the areas corresponding to the grids; judging whether data inspection and adjustment need to be carried out on each sensor of each power grid facility or not by combining historical fire hazard possibility scores, if so, executing the step 5), and if not, executing the step 6);
historical fire hazard probability scores of the regions actually corresponding to the vectorization grids are stored in a score storage module in a total data analysis module and are not deleted;
when the fire hazard possibility evaluation is carried out on the areas corresponding to the grids, the following steps are carried out:
A) the total data analysis module obtains temperature data of the current day corresponding to actual regions corresponding to all vectorization grids sent by the meteorological satellite, and calculates average temperatures of the two current days
And T2 ═ a + B/2, where a is the highest temperature of the day and B is the lowest temperature of the day, and a fire risk potential scoring factor C is set;
B) if the current time is 0: 00-10: 00 or 16: 00-24: 00, then the way to calculate the fire risk potential score is: if C is less than or equal to 0 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 0; if the temperature is higher than 5 ℃ and C is larger than or equal to 0 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 1; if the temperature is higher than 10 ℃ and C is more than or equal to 5 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 2; if the temperature is higher than 15 ℃ and C is larger than or equal to 10 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 3; if the temperature is higher than 25 ℃ and C is larger than or equal to 15 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 4; if the C is more than or equal to 25 ℃, directly sending red fire alarm information of the region corresponding to the score to the switchboard;
if the current time is 10: 00-16: 00, then the way to calculate the fire risk potential score is: if C is less than or equal to 0 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 0; if the temperature is higher than 5 ℃ and C is larger than or equal to 0 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 1; if the temperature is higher than 10 ℃ and C is more than or equal to 5 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 2; if the temperature is higher than 15 ℃ and C is larger than or equal to 10 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 3; if the temperature is higher than 25 ℃ and C is larger than or equal to 15 ℃, the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 4; if the C is more than or equal to 25 ℃, directly sending red fire alarm information of the region corresponding to the score to the switchboard;
C) if the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 0 or 1 for three consecutive times, executing step 5);
D) if the score is other, executing step 6);
step 5): carrying out data inspection and adjustment on each sensor of each power grid facility according to the fire hazard possibility score;
step 6): predicting whether a fire disaster will occur in an area actually corresponding to the vectorization grid by combining the historical fire risk possibility score;
if the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 2 for three consecutive times, sending green fire hazard alarm information of the area corresponding to the score to the switchboard;
if the two-time score of 3 exists in the fire hazard possibility scores of the actual areas corresponding to the three-time current vectorization grids, sending blue fire alarm information of the areas corresponding to the scores to a switchboard;
if the fire hazard possibility score of the actual area corresponding to the current vectorization grid is 4, yellow fire hazard alarm information of the area corresponding to the score is sent to the switchboard;
if the area actually corresponding to the vectorization grid is in fire, starting a camera in the corresponding area;
the monitoring and early warning method utilizes a Software Defined Network (SDN) to transmit data, all switches are controlled by the same controller, and data forwarding is carried out according to flow table rules issued by the same controller during data forwarding.
2. The monitoring and early warning method according to claim 1, wherein the cameras in the corresponding areas transmit pictures shot in real time to a switchboard and mobile terminal equipment associated with the switchboard.
3. The monitoring and early warning method according to claim 1, wherein if a fire disaster occurs in an area actually corresponding to the vectorized grid, an alarm is given out at the switchboard.
4. The monitoring and early warning method according to claim 1, wherein the scoring of the fire risk probability of the area corresponding to each grid is performed every 1 hour.
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| CN112001828B (en) * | 2020-08-04 | 2023-10-17 | 北京金源智控科技股份有限公司 | GIS-based intelligent rural gridding fire control management method, system and electronic equipment |
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