CN113324584A - Power grid disaster prevention emergency panoramic monitoring system and early warning method - Google Patents
Power grid disaster prevention emergency panoramic monitoring system and early warning method Download PDFInfo
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Abstract
The invention relates to a power grid disaster prevention emergency panoramic monitoring system and an early warning method, and belongs to the technical field of natural disaster early warning. The system comprises a statistical analysis module, a disaster prevention emergency module, a real-time monitoring module, a GIS map module and a comprehensive management module, wherein the early warning method comprises the steps of judging whether power grid equipment meets the disaster occurrence requirement or not; calculating the fault occurrence probability R of the power grid equipment; judging the fault early warning level of the power grid equipment; and issuing early warning information according to the early warning level. The invention provides panoramic monitoring and early warning and emergency aid decision support service based on natural disasters for the power grid, realizes integration of external natural disaster information and power grid information fusion from different levels of disaster monitoring and early warning, equipment fault probability evaluation, power grid operation risk analysis and the like, and is easy to popularize and apply.
Description
Technical Field
The invention belongs to the technical field of natural disaster early warning, and particularly relates to a power grid disaster prevention emergency panoramic monitoring system and an early warning method.
Background
Along with the development of economic society, the coverage of power grid system substations and power transmission lines is continuously enlarged, the invasion of the power grid safety operation caused by severe weather such as strong wind, thunder, haze and the like is increased, and especially line faults are caused to be stopped in some extreme weather. At present, more and more researches are carried out on power grid meteorological disaster risk assessment and prevention at home and abroad, and disaster information sharing is gradually realized in the united states, japan and countries of the european union. With the increasing of severe weather such as haze and ice coating in China, the normal operation of power grid equipment is greatly influenced, and a plurality of power scientific research units develop deep analysis on power grid meteorological disasters and seek prevention and control measures.
At present, various automatic systems for dealing with disasters, such as an EMS (energy management system), an OMS (operation management system), a meteorological information system, a lightning positioning system and the like, are in a dispersed and isolated state, lack of effective integration for power grid disaster prevention and emergency, have no established disaster prevention and emergency panoramic monitoring and decision support means, are difficult to master external disaster influence conditions in real time, and power grid workers are difficult to perceive external meteorological and geological environment conditions and analyze the influence of the external meteorological and geological environment conditions on a power grid. Therefore, how to overcome the defects of the prior art is a problem to be solved urgently in the technical field of natural disaster early warning at present.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a power grid disaster prevention emergency panoramic monitoring system and an early warning method. By monitoring the power grid disaster, evaluating the equipment failure probability and analyzing the power grid operation risk, the dispatching personnel can perform panoramic monitoring on the operation condition of the power grid and conveniently make corresponding decisions.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
an emergency panoramic monitoring system for power grid disaster prevention, comprising: the system comprises a statistical analysis module, a disaster prevention emergency module, a real-time monitoring module, a GIS map module and a comprehensive management module;
the real-time monitoring module is used for monitoring various natural disasters in real time; monitoring contents comprise meteorological elements, power grid and equipment disaster situations and emergency resource situations in the respective natural disaster process;
the statistical analysis module is used for monitoring the information monitored by the module in real time, performing statistical analysis on the disaster-suffering, recovery and emergency resource data of the power grid and providing an analysis report;
the disaster prevention emergency module is used for carrying out corresponding early warning on the data monitored by the real-time monitoring module, analyzing the influence of the monitoring data on the operation of the power grid and equipment, monitoring the disaster condition of the power grid and the equipment and providing an emergency strategy;
the GIS map module is used for providing a map for power grid topology, natural disaster distribution and power grid risk distribution display;
the comprehensive management module is used for managing the user data of the system and the data collected by the real-time monitoring module.
Further, preferably, the analysis report provided by the statistical analysis module is a disaster statistical analysis chart or a disaster statistical analysis table, and the disaster statistical analysis chart graphically displays data of four dimensions of disaster types, important user damage, equipment damage and emergency resource investment; the disaster statistical analysis table represents disaster data in a table form.
Further, preferably, the disaster prevention emergency module comprises a disaster distribution sub-module, a disaster trend exercise sub-module, a disaster-affected information dynamic reminding sub-module, a disaster-affected information monitoring sub-module and a risk release sub-module;
the disaster distribution submodule is used for displaying disaster distribution conditions according to the information monitored by the real-time monitoring module and based on the GIS map module;
the disaster trend drilling submodule is used for drilling the disaster trend according to the information monitored by the real-time monitoring module and the disaster influence information obtained by the disaster influence information monitoring submodule to obtain the operation influence analysis condition of the power grid and the equipment;
the disaster information dynamic reminding submodule is used for dynamically reminding the disaster information according to the information monitored by the disaster distribution submodule;
the disaster influence information monitoring submodule is used for acquiring corresponding disaster influence information according to the information monitored by the real-time monitoring module;
the risk release submodule is used for carrying out corresponding early warning on meteorological elements in the process that the real-time monitoring module monitors natural disasters, reminding according to the situation of the practice of the disaster trend practicing submodule based on the GIS map module, and simultaneously analyzing and providing an emergency strategy.
Further, preferably, the real-time monitoring module comprises a meteorological data issuing and analyzing port and a meteorological data acquisition port;
the meteorological data acquisition port acquires meteorological data issued by a meteorological department by using a meteorological data acquisition server;
the meteorological data issuing and analyzing port is used for classifying and analyzing meteorological data through the analytic server after the meteorological data receiving server collects the data, forming preset format data, incorporating the preset format data into the GIS database server, and then issuing meteorological information in the power intranet by using the Web server.
Further, it is preferable that the meteorological data in the meteorological data acquisition port includes: infrared cloud pictures, heavy fog satellite cloud pictures, strong convection satellite cloud pictures, meteorological early warning data and data observed by an automatic observation station;
the data of the infrared cloud picture, the fog satellite cloud picture and the strong convection satellite cloud picture are data of a stationary satellite and/or a polar orbit satellite, and the data acquisition periods of the stationary satellite and the polar orbit satellite are respectively 30 minutes and 12 hours; the meteorological early warning data is real-time acquisition data; the data acquisition period observed by the automated observation station was 6 minutes.
Further, preferably, the comprehensive management module comprises a basic standing book sub-module, an access data sub-module, a state monitoring sub-module and a system management sub-module;
the basic ledger sub-module is used for acquiring basic information of the power grid equipment and providing basic data support for the platform;
the access data sub-module is used for accessing the standing book data and the data monitored by the real-time monitoring module, storing the cleaned data in a database through data cleaning, and providing the data to the statistical analysis module and the disaster prevention emergency module for extraction and application;
the state monitoring submodule is used for monitoring the running states of the statistical analysis module, the disaster prevention emergency module, the real-time monitoring module and the GIS map module;
the system management submodule is used for basic configuration information maintenance, platform login user information maintenance, platform role information maintenance and platform operation log maintenance.
The invention also provides a power grid disaster prevention emergency early warning method, which comprises the following steps:
s101: judging whether the power grid equipment meets the disaster occurrence requirement or not;
s102: calculating the fault occurrence probability R of the power grid equipment;
s103: judging the fault early warning level of the power grid equipment;
s104: and issuing early warning information according to the early warning level.
Further, in step S101, it is preferable that the calculation method when determining the disaster occurrence request is as follows:
if the formula is satisfied, performing S102 if the disaster occurrence requirement is satisfied, otherwise, not performing S102 if the disaster occurrence requirement is not satisfied;
in the formula: i is a meteorological risk factor; n is the number of meteorological risk factors; miThe weight value of the meteorological risk factor; piThe actual deduction value of the weather risk factor i.
Further, in step S102, the failure occurrence probability R is preferably calculated as follows:
in the formula: j is a risk factor; m number of risk factors; wjThe weight of the jth risk factor; rjThe actual deducted value for the j risk factor.
Further, preferably, in step S103, the early warning level is determined by determining the value of the probability R, and when R is greater than or equal to 0.8, the early warning level is 3, which is a high risk; when R is more than or equal to 0.6 and less than 0.8, the early warning level is 2, and the early warning level belongs to medium risk; when R is more than or equal to 0.4 and less than 0.6, the early warning level is 1 level, and the method belongs to low risk; when R is less than 0.4, the early warning level is normal.
In the invention, a GIS map module displays the operation information of a power grid based on an off-line map; the power grid operation information provides power grid network frame information, meteorological disaster data information, meteorological data information and power grid risk distribution.
The emergency resources comprise emergency materials, expert teams, emergency vehicles and emergency maintenance teams.
The disaster influence information comprises information such as disaster types, disaster levels, equipment failure numbers, influenced sections, loss load values, multiple cascading failures possibly caused, nearby emergency resources and the like.
The ledger data comprises basic information of power stations, lines, towers and the like.
The invention provides a power grid disaster prevention emergency panoramic monitoring system and an early warning method, which provide panoramic monitoring early warning and emergency aid decision support services based on natural disasters for a power grid and realize integrated fusion of external natural disaster information and power grid information from different layers of disaster monitoring early warning, equipment fault probability evaluation, power grid operation risk analysis and the like. And services such as power grid equipment fault probability evaluation, power grid operation risk analysis technology, emergency command and scheduling decision and the like are provided.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a power grid disaster prevention emergency panoramic monitoring system and an early warning method, which provide panoramic monitoring early warning and emergency aid decision support services based on natural disasters for a power grid and realize integrated fusion of external natural disaster information and power grid information from different layers of disaster monitoring early warning, equipment fault probability evaluation, power grid operation risk analysis and the like. And services such as power grid equipment fault probability evaluation, power grid operation risk analysis technology, emergency command and scheduling decision and the like are provided.
Drawings
FIG. 1 is a block diagram of the modular structure of an emergency panoramic surveillance system according to the present invention;
FIG. 2 is a block diagram of a statistical analysis module according to the present invention;
FIG. 3 is a block diagram of the disaster prevention emergency module according to the present invention;
FIG. 4 is a block diagram of a real-time monitoring module according to the present invention;
FIG. 5 is a block diagram of a GIS map module according to the present invention;
FIG. 6 is a block diagram of the integrated management module of the present invention;
fig. 7 is a flowchart of a disaster prevention emergency early warning method according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples.
It will be appreciated by those skilled in the art that the following examples are illustrative of the invention only and should not be taken as limiting the scope of the invention. The examples do not specify particular techniques or conditions, and are performed according to the techniques or conditions described in the literature in the art or according to the product specifications. The materials or equipment used are not indicated by manufacturers, and all are conventional products available by purchase.
In recent years, national meteorological disasters frequently occur, the operation environment of a power grid becomes severe and complex day by day, strong convection disasters such as rain, snow, freezing, strong wind, rainstorm, thunder and lightning and extreme weather and natural disasters such as debris flow, sand storm, mountain fire and the like have increasingly large influence on the power grid, so that serious damage and loss are caused to power grid facilities, and the operation of the power grid is seriously threatened.
At present, various automatic systems for dealing with disasters, such as an EMS (energy management system), an OMS (operation management system), a meteorological information system, a lightning positioning system and the like, are in a dispersed and isolated state, lack of effective integration for power grid disaster prevention and emergency, have no established disaster prevention and emergency panoramic monitoring and decision support means, are difficult to master external disaster influence conditions in real time, and power grid workers are difficult to perceive external meteorological and geological environment conditions and analyze the influence of the external meteorological and geological environment conditions on a power grid.
Example 1
As shown in fig. 1 to 7, a power grid disaster prevention emergency panoramic monitoring system includes: the system comprises a statistical analysis module, a disaster prevention emergency module, a real-time monitoring module, a GIS map module and a comprehensive management module;
the real-time monitoring module is used for monitoring various natural disasters in real time; monitoring contents comprise meteorological elements, power grid and equipment disaster situations and emergency resource situations in the respective natural disaster process;
the statistical analysis module is used for monitoring the information monitored by the module in real time, performing statistical analysis on the disaster-suffering, recovery and emergency resource data of the power grid and providing an analysis report;
the disaster prevention emergency module is used for carrying out corresponding early warning on the data monitored by the real-time monitoring module, analyzing the influence of the monitoring data on the operation of the power grid and equipment, monitoring the disaster condition of the power grid and the equipment and providing an emergency strategy;
the GIS map module is used for providing a map for power grid topology, natural disaster distribution and power grid risk distribution display;
the comprehensive management module is used for managing the user data of the system and the data collected by the real-time monitoring module.
The analysis report provided by the statistical analysis module is a disaster statistical analysis chart or a disaster statistical analysis table, and the disaster statistical analysis chart graphically displays data of four dimensions of disaster types, important user damage, equipment damage and emergency resource investment; the disaster statistical analysis table represents disaster data in a table form.
The disaster prevention emergency module comprises a disaster distribution sub-module, a disaster trend exercise sub-module, a disaster information dynamic reminding sub-module, a disaster influence information monitoring sub-module and a risk release sub-module;
the disaster distribution submodule is used for displaying disaster distribution conditions according to the information monitored by the real-time monitoring module and based on the GIS map module;
the disaster trend drilling submodule is used for drilling the disaster trend according to the information monitored by the real-time monitoring module and the disaster influence information obtained by the disaster influence information monitoring submodule to obtain the operation influence analysis condition of the power grid and the equipment;
the disaster information dynamic reminding submodule is used for dynamically reminding the disaster information according to the information monitored by the disaster distribution submodule;
the disaster influence information monitoring submodule is used for acquiring corresponding disaster influence information according to the information monitored by the real-time monitoring module;
the risk release submodule is used for carrying out corresponding early warning on meteorological elements in the process that the real-time monitoring module monitors natural disasters, reminding according to the situation of the practice of the disaster trend practicing submodule based on the GIS map module, and simultaneously analyzing and providing an emergency strategy.
The real-time monitoring module comprises a meteorological data issuing and analyzing port and a meteorological data acquisition port;
the meteorological data acquisition port acquires meteorological data issued by a meteorological department by using a meteorological data acquisition server;
the meteorological data issuing and analyzing port is used for classifying and analyzing meteorological data through the analytic server after the meteorological data receiving server collects the data, forming preset format data, incorporating the preset format data into the GIS database server, and then issuing meteorological information in the power intranet by using the Web server.
The meteorological data in the meteorological data acquisition port comprises: infrared cloud pictures, heavy fog satellite cloud pictures, strong convection satellite cloud pictures, meteorological early warning data and data observed by an automatic observation station;
the data of the infrared cloud picture, the fog satellite cloud picture and the strong convection satellite cloud picture are data of a stationary satellite and/or a polar orbit satellite, and the data acquisition periods of the stationary satellite and the polar orbit satellite are respectively 30 minutes and 12 hours; the meteorological early warning data is real-time acquisition data; the data acquisition period observed by the automated observation station was 6 minutes.
The comprehensive management module comprises a basic standing book submodule, an access data submodule, a state monitoring submodule and a system management submodule, wherein the basic standing book submodule is used for acquiring basic information of the power grid equipment and providing basic data support for the platform;
the access data sub-module is used for accessing the standing book data and the data monitored by the real-time monitoring module, storing the cleaned data in a database through data cleaning, and providing the data to the statistical analysis module and the disaster prevention emergency module for extraction and application;
the state monitoring submodule is used for monitoring the running states of the statistical analysis module, the disaster prevention emergency module, the real-time monitoring module and the GIS map module;
the system management submodule is used for basic configuration information maintenance, platform login user information maintenance, platform role information maintenance and platform operation log maintenance.
Example 2
As shown in fig. 7, a power grid disaster prevention emergency early warning method is characterized by comprising the following steps:
s101: judging whether the power grid equipment meets the disaster occurrence requirement or not;
s102: calculating the fault occurrence probability R of the power grid equipment;
s103: judging the fault early warning level of the power grid equipment;
s104: and issuing early warning information according to the early warning level.
The calculation method for judging the disaster occurrence requirement is as follows:
if the formula is satisfied, performing S102 if the disaster occurrence requirement is satisfied, otherwise, not performing S102 if the disaster occurrence requirement is not satisfied;
in the formula: i is a meteorological risk factor; n is the number of meteorological risk factors; miThe weight of the weather risk factor (as shown in table 1); piIs the actual deduction value of the weather risk factor i (as in table 3).
Table 1:
when the value obtained in step 101 is greater than or equal to 0.6, it indicates that the occurrence requirement of the disaster is met, and the probability of the occurrence of the power grid equipment is calculated according to step 102. When the value obtained in step 101 is less than 0.6, the requirement for disaster occurrence is not met, i.e., the subsequent steps are not performed.
The calculation method of the fault occurrence probability R is as follows:
in the formula: j is a risk factor; m is the number of risk factors; wjIs the weight of the jth risk factor (see table 2); rjThe actual deduction value for the j risk factor (see table 3).
TABLE 2
| Risk factor | Weight of risk factor |
| Thunderstorm | 0.058 |
| Temperature of | 0.055 |
| Humidity | 0.053 |
| Wind speed | 0.047 |
| Amount of rainfall | 0.05 |
| Disaster early warning level | 0.061 |
| Number of times of disaster zone recording | 0.1 |
| Recording frequency of equipment disaster | 0.15 |
| Recording the number of times of disaster after reconstruction | 0.128 |
| Time-saving with easy disaster | 0.094 |
| Disaster-prone area | 0.101 |
| Disaster-stricken report location | 0.121 |
Judging the early warning level by judging the value of the probability R, wherein the early warning level is 3 when R is more than or equal to 0.8, and belongs to high danger; when R is more than or equal to 0.6 and less than 0.8, the early warning level is 2, and the early warning level belongs to medium risk; when R is more than or equal to 0.4 and less than 0.6, the early warning level is 1 level, and the method belongs to low risk; when R is less than 0.4, the early warning level is normal.
And finally, issuing corresponding early warning information according to the disaster early warning level.
TABLE 3
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present embodiments.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. An emergency panoramic monitoring system for power grid disaster prevention, comprising: the system comprises a statistical analysis module, a disaster prevention emergency module, a real-time monitoring module, a GIS map module and a comprehensive management module;
the real-time monitoring module is used for monitoring various natural disasters in real time; monitoring contents comprise meteorological elements, power grid and equipment disaster situations and emergency resource situations in the respective natural disaster process;
the statistical analysis module is used for monitoring the information monitored by the module in real time, performing statistical analysis on the disaster-suffering, recovery and emergency resource data of the power grid and providing an analysis report;
the disaster prevention emergency module is used for carrying out corresponding early warning on the data monitored by the real-time monitoring module, analyzing the influence of the monitoring data on the operation of the power grid and equipment, monitoring the disaster condition of the power grid and the equipment and providing an emergency strategy;
the GIS map module is used for providing a map for power grid topology, natural disaster distribution and power grid risk distribution display;
the comprehensive management module is used for managing the user data of the system and the data collected by the real-time monitoring module.
2. The power grid disaster prevention emergency panoramic monitoring system according to claim 1, wherein the analysis report provided by the statistical analysis module is a disaster statistical analysis chart or a disaster statistical analysis table, and the disaster statistical analysis chart graphically displays four-dimensional data of disaster types, important user damage, equipment damage and emergency resource investment; the disaster statistical analysis table represents disaster data in a table form.
3. The power grid disaster prevention emergency panoramic monitoring system according to claim 1, wherein the disaster prevention emergency module comprises a disaster distribution sub-module, a disaster trend drilling sub-module, a disaster information dynamic reminding sub-module, a disaster influence information monitoring sub-module, and a risk release sub-module;
the disaster distribution submodule is used for displaying disaster distribution conditions according to the information monitored by the real-time monitoring module and based on the GIS map module;
the disaster trend drilling submodule is used for drilling the disaster trend according to the information monitored by the real-time monitoring module and the disaster influence information obtained by the disaster influence information monitoring submodule to obtain the operation influence analysis condition of the power grid and the equipment;
the disaster information dynamic reminding submodule is used for dynamically reminding the disaster information according to the information monitored by the disaster distribution submodule;
the disaster influence information monitoring submodule is used for acquiring corresponding disaster influence information according to the information monitored by the real-time monitoring module;
the risk release submodule is used for carrying out corresponding early warning on meteorological elements in the process that the real-time monitoring module monitors natural disasters, reminding according to the situation of the practice of the disaster trend practicing submodule based on the GIS map module, and simultaneously analyzing and providing an emergency strategy.
4. The power grid disaster prevention emergency panoramic monitoring system of claim 1, wherein the real-time monitoring module comprises a meteorological data issuing and analyzing port and a meteorological data acquisition port;
the meteorological data acquisition port acquires meteorological data issued by a meteorological department by using a meteorological data acquisition server;
the meteorological data issuing and analyzing port is used for classifying and analyzing meteorological data through the analytic server after the meteorological data receiving server collects the data, forming preset format data, incorporating the preset format data into the GIS database server, and then issuing meteorological information in the power intranet by using the Web server.
5. The power grid disaster prevention emergency panoramic monitoring system of claim 4, wherein the meteorological data in the meteorological data acquisition port comprises: infrared cloud pictures, heavy fog satellite cloud pictures, strong convection satellite cloud pictures, meteorological early warning data and data observed by an automatic observation station;
the data of the infrared cloud picture, the fog satellite cloud picture and the strong convection satellite cloud picture are data of a stationary satellite and/or a polar orbit satellite, and the data acquisition periods of the stationary satellite and the polar orbit satellite are respectively 30 minutes and 12 hours; the meteorological early warning data is real-time acquisition data; the data acquisition period observed by the automated observation station was 6 minutes.
6. The power grid disaster prevention emergency panoramic monitoring system of claim 1, wherein:
the comprehensive management module comprises a basic machine account submodule, an access data submodule, a state monitoring submodule and a system management submodule;
the basic ledger sub-module is used for acquiring basic information of the power grid equipment and providing basic data support for the platform;
the access data sub-module is used for accessing the standing book data and the data monitored by the real-time monitoring module, storing the cleaned data in a database through data cleaning, and providing the data to the statistical analysis module and the disaster prevention emergency module for extraction and application;
the state monitoring submodule is used for monitoring the running states of the statistical analysis module, the disaster prevention emergency module, the real-time monitoring module and the GIS map module;
the system management submodule is used for basic configuration information maintenance, platform login user information maintenance, platform role information maintenance and platform operation log maintenance.
7. A power grid disaster prevention emergency early warning method is characterized by comprising the following steps:
s101: judging whether the power grid equipment meets the disaster occurrence requirement or not;
s102: calculating the fault occurrence probability R of the power grid equipment;
s103: judging the fault early warning level of the power grid equipment;
s104: and issuing early warning information according to the early warning level.
8. The power grid disaster prevention emergency early warning method according to claim 7, wherein in step S101, the calculation method when determining the disaster occurrence requirement is as follows:
if the formula is satisfied, performing S102 if the disaster occurrence requirement is satisfied, otherwise, not performing S102 if the disaster occurrence requirement is not satisfied;
in the formula: i isA weather risk factor; n is the number of meteorological risk factors; miThe weight value of the meteorological risk factor; piAs a meteorological risk factoriThe actual deduction value of.
9. The power grid disaster prevention emergency early warning method according to claim 7, wherein in step S102, the calculation method of the fault occurrence probability R is as follows:
in the formula: j is a risk factor; m number of risk factors; wjThe weight of the jth risk factor; rjThe actual deducted value for the j risk factor.
10. The power grid disaster prevention emergency early warning method according to claim 7, wherein in step S103, the early warning level is determined by determining a value of the probability R, and when R is greater than or equal to 0.8, the early warning level is 3, which is a high risk; when R is more than or equal to 0.6 and less than 0.8, the early warning level is 2, and the early warning level belongs to medium risk; when R is less than 0.6 when R is less than or equal to 0.4, the early warning level is 1 level, and the method belongs to low risk; when R is less than 0.4, the early warning level is normal.
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| CN114966897A (en) * | 2022-05-30 | 2022-08-30 | 郑州丰嘉科技有限公司 | Historical relic safety analysis early warning system |
| CN115223336A (en) * | 2022-06-23 | 2022-10-21 | 中核核信信息技术（北京）有限公司 | Disaster early warning analysis system and method based on location service |
| CN115660424A (en) * | 2022-10-28 | 2023-01-31 | 国网四川省电力公司 | Disaster factor analysis early warning system based on GIS |
| CN115830813A (en) * | 2023-02-15 | 2023-03-21 | 江西和壹科技有限公司 | Natural disaster monitoring and early warning system based on AI technology |
| CN116704708A (en) * | 2023-08-08 | 2023-09-05 | 山东省减灾中心 | Intelligent natural disaster early warning system and method based on big data |
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