CN115439018A - Large-range power transmission and transformation facility geological disaster monitoring method and system - Google Patents
Large-range power transmission and transformation facility geological disaster monitoring method and system Download PDFInfo
- Publication number
- CN115439018A CN115439018A CN202211301165.3A CN202211301165A CN115439018A CN 115439018 A CN115439018 A CN 115439018A CN 202211301165 A CN202211301165 A CN 202211301165A CN 115439018 A CN115439018 A CN 115439018A
- Authority
- CN
- China
- Prior art keywords
- disaster
- power transmission
- remote sensing
- transformation
- determining
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000005540 biological transmission Effects 0.000 title claims abstract description 100
- 230000009466 transformation Effects 0.000 title claims abstract description 96
- 238000012544 monitoring process Methods 0.000 title claims abstract description 69
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 36
- 230000006378 damage Effects 0.000 claims description 4
- 239000002689 soil Substances 0.000 description 5
- 238000010276 construction Methods 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 241000282414 Homo sapiens Species 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000005336 cracking Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000007667 floating Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 239000011435 rock Substances 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Power Engineering (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Alarm Systems (AREA)
Abstract
The invention belongs to the field of electric power, and particularly relates to a large-range power transmission and transformation facility geological disaster monitoring method and system, wherein the method comprises the steps of determining potential disaster types and corresponding disaster early warning areas according to distribution positions of power transmission and transformation facilities and corresponding geological data; acquiring remote sensing data of a disaster early warning area; and determining a corresponding remote sensing data processing algorithm according to the type of the potential disaster, and processing the remote sensing data to obtain disaster monitoring information of the power transmission and transformation facilities. Determining the type of the potential disaster and a corresponding disaster early warning area according to the distribution position of the power transmission and transformation facilities and the corresponding geological data, and determining the area needing early warning and the potential disaster risk; the remote sensing data of the disaster early warning area is obtained, so that the data acquisition capacity of the area inconvenient for manual operation can be improved; and determining a corresponding remote sensing data processing algorithm according to the potential disaster type, processing the remote sensing data to obtain disaster monitoring information of the power transmission and transformation facilities, and effectively improving the monitoring capability of the disasters.
Description
Technical Field
The invention belongs to the field of electric power, and particularly relates to a method and a system for monitoring geological disasters of a large-range power transmission and transformation facility.
Background
The power system comprises links of power generation, power transmission, power utilization and the like, wherein the power transmission link mainly realizes the transmission of power and the change of voltage through a power transmission facility and a power transformation facility. In a large-scale power system, the distance between power generation and power utilization may be large, so that a trans-regional power transmission link needs to be arranged.
The setting range of the trans-regional power transmission link is very large, the situation that power transmission facilities and power transformation facilities are installed in complex field environments can often occur, the complex field environments are not only unhappy, but also face various geological disasters, and the abnormal conditions cannot be found in time. Particularly in some geological disasters, damage is extensive and can prevent maintenance and repair of the power facility. If the disaster can be reasonably monitored, the strain capacity of the disaster can be improved, and the safety of the power system is favorably maintained.
Disclosure of Invention
In order to solve or improve the problems, the invention provides a method and a system for monitoring geological disasters of a large-range power transmission and transformation facility, and the specific technical scheme is as follows:
the invention provides a large-range power transmission and transformation facility geological disaster monitoring method, which comprises the following steps: determining a potential disaster type and a corresponding disaster early warning area according to the distribution position of the power transmission and transformation facility and the corresponding geological data; acquiring remote sensing data of the disaster early warning area; and determining a corresponding remote sensing data processing algorithm according to the potential disaster type, and processing the remote sensing data to obtain disaster monitoring information of the power transmission and transformation facilities.
Preferably, the determining the type of the potential disaster and the corresponding disaster early warning area according to the distribution position of the power transmission and transformation facility and the corresponding geological data includes: determining the potential disaster type according to the attribute of the power transmission and transformation facility and/or the distribution position, and determining the corresponding associated geology according to the potential disaster type; and determining the disaster early warning area by taking the distribution position as a starting point and the distribution of the associated geology in the geological data.
Preferably, the method further comprises: determining the hazard degree matched with the potential disaster type according to the attribute of the power transmission and transformation facility; the hazard level is used for limiting the range of the disaster early warning area.
Preferably, the processing the remote sensing data to obtain disaster monitoring information of the power transmission and transformation facility includes: and outputting the corresponding disaster monitoring information of the power transmission and transformation facilities according to the change degree and/or the change range of the remote sensing data in the disaster early warning area.
Preferably, the method further comprises: acquiring the predicted occurrence time of the disaster according to the type and the historical record of the potential disaster; correspondingly, the outputting the disaster monitoring information of the corresponding power transmission and transformation facilities comprises: modifying an alarm threshold value according to the difference value between the acquisition time of the analyzed remote sensing data and the predicted occurrence time; and the alarm threshold value is used for calculating the corresponding disaster monitoring information with the change degree and/or the change range.
The invention provides a large-range power transmission and transformation facility geological disaster monitoring system, which comprises: the system comprises a first unit, a second unit and a third unit, wherein the first unit is used for determining the types of potential disasters and corresponding disaster early warning areas according to the distribution positions of the power transmission and transformation facilities and corresponding geological data; the second unit is used for acquiring remote sensing data of the disaster early warning area; and the third unit is used for determining a corresponding remote sensing data processing algorithm according to the potential disaster type and processing the remote sensing data to obtain disaster monitoring information of the power transmission and transformation facilities.
Preferably, the determining the potential disaster type and the corresponding disaster early warning area according to the distribution position of the power transmission and transformation facility and the corresponding geological data includes:
determining the potential disaster type according to the attribute of the power transmission and transformation facility and/or the distribution position, and determining the corresponding associated geology according to the potential disaster type;
and determining the disaster early warning area by taking the distribution position as a starting point and the distribution of the associated geology in the geological data.
Preferably, the first unit is further configured to determine a degree of damage matching the potential disaster type according to an attribute of the power transmission and transformation facility; the hazard level is used for limiting the range of the disaster early warning area.
Preferably, the processing the remote sensing data to obtain disaster monitoring information of the power transmission and transformation facility includes: and outputting the corresponding disaster monitoring information of the power transmission and transformation facilities according to the change degree and/or the change range of the remote sensing data in the disaster early warning area.
Preferably, the first unit is further configured to obtain a predicted occurrence time of the disaster according to the type of the potential disaster and the history; correspondingly, the outputting the disaster monitoring information of the corresponding power transmission and transformation facility includes: modifying an alarm threshold value according to the difference value between the acquisition time of the analyzed remote sensing data and the predicted occurrence time; and the alarm threshold value is used for calculating the corresponding disaster monitoring information with the change degree and/or the change range.
The invention has the beneficial effects that: determining the type of the potential disaster and a corresponding disaster early warning area according to the distribution position of the power transmission and transformation facilities and the corresponding geological data, and determining the area needing early warning and the potential disaster risk; the remote sensing data of the disaster early warning area is obtained, so that the data acquisition capacity of the area inconvenient for manual operation can be improved; and determining a corresponding remote sensing data processing algorithm according to the potential disaster type, processing the remote sensing data to obtain disaster monitoring information of the power transmission and transformation facilities, and effectively improving the monitoring capability of disasters.
Drawings
FIG. 1 is a schematic illustration of a method of monitoring geological hazards in a wide range of power transmission and transformation facilities in accordance with the present invention;
fig. 2 is a schematic diagram of a wide range power transmission and transformation facility geological disaster monitoring system according to the present invention.
Description of the main reference numerals:
1-first unit, 2-second unit, 3-third unit.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items and includes such combinations.
In order to solve or improve the problems mentioned above, the present invention provides a method for monitoring geological disasters of a large-scale power transmission and transformation facility, as shown in fig. 1, including: s1, determining potential disaster types and corresponding disaster early warning areas according to distribution positions of power transmission and transformation facilities and corresponding geological data; s2, obtaining remote sensing data of the disaster early warning area; and S3, determining a corresponding remote sensing data processing algorithm according to the potential disaster type, and processing the remote sensing data to obtain disaster monitoring information of the power transmission and transformation facilities.
The power transmission and transformation facilities in the power system comprise power transmission facilities and power transformation facilities, the distribution range of the power transmission and transformation facilities is large, and the specific construction position is sometimes on the barren mountains and the mountains, so that geological disasters are easily encountered.
The distribution positions of the power transmission and transformation facilities comprise a distribution range and specific positions; because some components, such as wires, are actually floating, it is more accurate to describe by distribution; and the specific position is the actual construction position. Generally, facilities corresponding to a specific location are more important. The geological data mainly comprises data such as terrain, soil, vegetation and rivers, and in the embodiment, geological data in a certain range with a distribution range and a specific position as centers are mainly collected. Geological disasters mainly refer to events which cause the malfunction of power transmission and transformation facilities due to geographical changes caused by natural phenomena or geographical changes caused by human beings. The disaster early warning area is an area where an observable ground surface or air change phenomenon occurs when a disaster occurs. The present embodiment estimates possible disasters by observing surface or aerial abnormalities that may occur in these areas.
Based on a remote sensing technology, measurement data of the earth surface of a disaster early warning area and the space (namely the air) on the earth surface are obtained, and remote sensing data are obtained.
The disasters are of various types, such as fire, flood, landslide, earthquake or artificial destruction, and the like, and the different types of disasters have different effects; thus, the observable changes made to the geological environment (surface and air) are also different. By setting various remote sensing data processing algorithms, the processing efficiency of the remote sensing data can be improved, the remote sensing data are processed to obtain disaster monitoring information of the power transmission and transformation facilities, and the monitoring capability of disasters can be effectively improved.
According to the distribution position of the power transmission and transformation facilities and the corresponding geological data, the potential disaster type and the corresponding disaster early warning area are determined, and the method comprises the following steps: determining the potential disaster type according to the attribute of the power transmission and transformation facility and/or the distribution position, and determining the corresponding associated geology according to the potential disaster type; and determining the disaster early warning area by taking the distribution position as a starting point and the distribution of the associated geology in the geological data.
The power transmission and transformation facilities comprise different types, such as power transmission facilities, power transformation facilities, auxiliary facilities and the like, and the different facilities are affected by disasters to different degrees due to different building structures and self functional equipment; for example, a disaster a may be harmful to a first facility but not a second facility, whereas a disaster B may be harmful to a second facility but not a first facility. Therefore, the potential disaster type is determined according to the attributes of the power transmission and transformation facilities, the pertinence on disaster monitoring can be improved, the monitoring capability on low-risk disasters is reduced, and the monitoring capability on high-risk disasters is centralized. The attributes of the power transformation facilities include facility types (such as power transmission facilities, power transformation facilities, and auxiliary facilities), facility structures (different building structures have different disaster prevention capabilities, and are strong enough to resist earthquakes, flood disasters, and the like), and other attributes (such as key power transmission and transformation nodes, which need to pay attention and are classified as disasters even though they do not theoretically constitute a disaster variation).
The distribution positions of power transmission and transformation facilities are different, and the environmental challenges are different, for example, the north faces wind and snow, and the south faces a high-heat environment. The potential disaster type is determined according to the attributes and/or distribution positions of the power transmission and transformation facilities, and the monitoring capability of disasters faced by the power transmission and transformation facilities in different environments can be improved.
Different disasters have different influences on the ground surface, for example, a fire can burn vegetation to cause high temperature; flood disasters can cause soil loss, cause facility foundation abnormity and the like; corresponding associated geology is determined through the potential disaster type, the disaster type and specific geological changes can be combined, and the disaster monitoring capability can be improved. Wherein, the geology is associated: fire-related vegetation (plants that exhibit temperature changes); flood-associated soil loss (manifested as soil color changes); earthquakes are associated with soil, rocks, rivers (appearing as movement of objects).
The purpose of monitoring the disaster is to protect the power transmission and transformation facilities, so the disaster early warning area is determined by taking the distribution position as a starting point and associating the distribution of geology in geological data. Specifically, whether the associated geology exists or not is determined according to the existing geological data of the surrounding area of the power transmission and transformation facility, if the associated geology exists, the position of the associated geology is determined, and the set of the positions is used as a disaster early warning area.
The method further comprises the following steps: determining the hazard degree matched with the potential disaster type according to the attribute of the power transmission and transformation facility; the hazard level is used for limiting the range of the disaster early warning area.
Different power transmission and transformation facilities have different resistance to disasters, and theoretically, the disasters with different sizes are preferably monitored; but this places certain demands on data processing capabilities. And determining the hazard degree matched with the potential disaster type according to the attribute of the power transmission and transformation facilities, and concentrating the data processing capacity into a specific disaster according to the hazard degree. Specifically, the hazard of C disaster is not large, the D range is normally required to be monitored, the hazard of E disaster is large, and the F range is normally required to be monitored; when the data processing capacity is insufficient, the range D is narrowed, so that the collected remote sensing data is reduced, and the requirement on the data processing capacity is lowered; conversely, the F range may be increased.
The processing the remote sensing data to obtain disaster monitoring information of the power transmission and transformation facilities comprises the following steps: and outputting the corresponding disaster monitoring information of the power transmission and transformation facilities according to the change degree and/or the change range of the remote sensing data in the disaster early warning area.
The variation of the remote sensing data actually comprises two situations, the first is the variation range, for example, the ground cracks generated by a large earthquake and a small earthquake have different degrees; which appears as an enlargement of the area of pixel change caused by cracking in the remote sensing data. The second is the degree of variation, such as a fire, the longer the time of fire passing, the darker the color of the ground, even if the area where the fire occurs is not changed, but the degree of influence on the environment is not the same; the principle of the method is that the remote sensing data is represented by pixel color change, and other remote sensing data such as electromagnetic waves and spectrums are the same. The difference between the degree of change and the range of change means that the degree of influence of a disaster is different, and thus the disaster monitoring information to be output is also different.
The method further comprises the following steps: acquiring the predicted occurrence time of the disaster according to the type and the historical record of the potential disaster; correspondingly, the outputting the disaster monitoring information of the corresponding power transmission and transformation facility includes: modifying an alarm threshold value according to the difference value between the acquisition time of the analyzed remote sensing data and the predicted occurrence time; and the alarm threshold value is used for calculating the corresponding disaster monitoring information with the change degree and/or the change range.
According to the historical records and the types of potential disasters, information of disasters which happen in the past can be found, for example, a fire disaster happens in a dry period, and a flood disaster happens in a rainy season; from the history, the predicted occurrence time of the disaster can be roughly estimated.
In theory, it is certainly preferable that monitoring be performed at any time; but this places certain demands on data processing capabilities. In order to reduce the pressure on data processing and improve the efficiency of data processing, the requirements on the acquisition and processing of the remote sensing data can be determined according to the difference between the acquisition time and the predicted occurrence time of the currently analyzed remote sensing data.
Specifically, the remote sensing data processing algorithm obtains disaster monitoring information by giving a weight to the change of the remote sensing data and performing weighted calculation according to the weight and the numerical value of the change range/change.
The probability of fire in rainy season is low, so that the use of a remote sensing data processing algorithm for monitoring the fire or the collection of remote sensing data can be reduced. If the difference between the acquisition time of the remote sensing data which is analyzed currently and the predicted occurrence time of the fire is larger, the fact that the fire is unlikely to occur is indicated, the alarm threshold value is reduced, and the number of times or time for monitoring the fire can be reduced.
The invention provides a large-range power transmission and transformation facility geological disaster monitoring system, which comprises: the first unit 1 is used for determining a potential disaster type and a corresponding disaster early warning area according to the distribution position of the power transmission and transformation facility and corresponding geological data; the second unit 2 is used for acquiring remote sensing data of the disaster early warning area; and the third unit 3 is used for determining a corresponding remote sensing data processing algorithm according to the potential disaster type and processing the remote sensing data to obtain disaster monitoring information of the power transmission and transformation facilities.
According to the distribution position of the power transmission and transformation facilities and the corresponding geological data, the potential disaster type and the corresponding disaster early warning area are determined, and the method comprises the following steps:
determining the potential disaster type according to the attribute of the power transmission and transformation facility and/or the distribution position, and determining the corresponding associated geology according to the potential disaster type;
and determining the disaster early warning area by taking the distribution position as a starting point and the distribution of the associated geology in the geological data.
The first unit is further used for determining the hazard degree matched with the potential disaster type according to the attribute of the power transmission and transformation facility; the hazard level is used for limiting the range of the disaster early warning area.
The processing the remote sensing data to obtain disaster monitoring information of the power transmission and transformation facilities comprises the following steps: and outputting the corresponding disaster monitoring information of the power transmission and transformation facilities according to the change degree and/or the change range of the remote sensing data in the disaster early warning area.
The first unit is further used for acquiring the predicted occurrence time of the disaster according to the type and the historical record of the potential disaster; correspondingly, the outputting the disaster monitoring information of the corresponding power transmission and transformation facility includes: modifying an alarm threshold value according to the difference value between the acquisition time of the analyzed remote sensing data and the predicted occurrence time; and the alarm threshold value is used for calculating the corresponding disaster monitoring information with the change degree and/or the change range.
Those of ordinary skill in the art will appreciate that the elements of the examples described in connection with the embodiments disclosed in the subject specification can be implemented as electronic hardware, computer software, or combinations of both, and that the elements of the examples have been described above generally in terms of their functionality in order to clearly illustrate the 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 invention.
In the embodiments provided in the present application, it should be understood that the division of a unit is only one logical function division, and in actual implementation, there may be another division manner, for example, multiple units may be combined into one unit, one unit may be split into multiple units, or some features may be omitted.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being covered by the appended claims and their equivalents.
Claims (10)
1. A large-range power transmission and transformation facility geological disaster monitoring method is characterized by comprising the following steps:
determining a potential disaster type and a corresponding disaster early warning area according to the distribution position of the power transmission and transformation facility and the corresponding geological data;
acquiring remote sensing data of the disaster early warning area;
and determining a corresponding remote sensing data processing algorithm according to the potential disaster type, and processing the remote sensing data to obtain disaster monitoring information of the power transmission and transformation facilities.
2. The wide-range power transmission and transformation facility geological disaster monitoring method according to claim 1, wherein the determining of the type of the potential disaster and the corresponding disaster early warning area according to the distribution position of the power transmission and transformation facility and the corresponding geological data comprises:
determining the potential disaster type according to the attribute of the power transmission and transformation facility and/or the distribution position, and determining the corresponding associated geology according to the potential disaster type;
and determining the disaster early warning area by taking the distribution position as a starting point and the distribution of the associated geology in the geological data.
3. The wide-range power transmission and transformation facility geological disaster monitoring method according to claim 2, further comprising:
determining the hazard degree matched with the potential disaster type according to the attribute of the power transmission and transformation facility;
the hazard level is used for limiting the range of the disaster early warning area.
4. The wide-range power transmission and transformation facility geological disaster monitoring method according to claim 3, wherein the processing the remote sensing data to obtain disaster monitoring information of the power transmission and transformation facility comprises:
and outputting the corresponding disaster monitoring information of the power transmission and transformation facilities according to the change degree and/or the change range of the remote sensing data in the disaster early warning area.
5. The wide-range power transmission and transformation facility geological disaster monitoring method according to claim 4, further comprising:
acquiring the predicted occurrence time of the disaster according to the type and the historical record of the potential disaster;
correspondingly, the outputting the disaster monitoring information of the corresponding power transmission and transformation facilities comprises:
modifying an alarm threshold value according to the difference value between the acquisition time of the analyzed remote sensing data and the predicted occurrence time;
and the alarm threshold value is used for calculating the corresponding disaster monitoring information with the change degree and/or the change range.
6. The utility model provides a power transmission and transformation facility geological disasters monitoring system on a large scale which characterized in that includes:
the system comprises a first unit, a second unit and a third unit, wherein the first unit is used for determining the types of potential disasters and corresponding disaster early warning areas according to the distribution positions of the power transmission and transformation facilities and corresponding geological data;
the second unit is used for acquiring remote sensing data of the disaster early warning area;
and the third unit is used for determining a corresponding remote sensing data processing algorithm according to the potential disaster type and processing the remote sensing data to obtain disaster monitoring information of the power transmission and transformation facilities.
7. The wide-range power transmission and transformation facility geological disaster monitoring system according to claim 6, wherein the determining of the potential disaster type and the corresponding disaster early warning area according to the distribution position of the power transmission and transformation facility and the corresponding geological data comprises:
determining the potential disaster type according to the attribute of the power transmission and transformation facility and/or the distribution position, and determining the corresponding associated geology according to the potential disaster type;
and determining the disaster early warning area by taking the distribution position as a starting point and the distribution of the associated geology in the geological data.
8. The wide-area power transmission and transformation facility geological disaster monitoring system of claim 7, wherein said first unit is further configured to determine a degree of damage matching said potential disaster type based on attributes of said power transmission and transformation facility;
the hazard level is used for limiting the range of the disaster early warning area.
9. The wide-range power transmission and transformation facility geological disaster monitoring system according to claim 8, wherein said processing said remote sensing data to obtain disaster monitoring information of said power transmission and transformation facility comprises:
and outputting the corresponding disaster monitoring information of the power transmission and transformation facilities according to the change degree and/or the change range of the remote sensing data in the disaster early warning area.
10. The wide-range power transmission and transformation facility geological disaster monitoring system according to claim 9, wherein said first unit is further configured to obtain a predicted occurrence time of a disaster according to the type of the potential disaster and a history;
correspondingly, the outputting the disaster monitoring information of the corresponding power transmission and transformation facilities comprises:
modifying an alarm threshold value according to the difference value between the acquisition time of the analyzed remote sensing data and the predicted occurrence time;
and the alarm threshold value is used for calculating the corresponding disaster monitoring information with the change degree and/or the change range.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211301165.3A CN115439018A (en) | 2022-10-24 | 2022-10-24 | Large-range power transmission and transformation facility geological disaster monitoring method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211301165.3A CN115439018A (en) | 2022-10-24 | 2022-10-24 | Large-range power transmission and transformation facility geological disaster monitoring method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115439018A true CN115439018A (en) | 2022-12-06 |
Family
ID=84252143
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211301165.3A Pending CN115439018A (en) | 2022-10-24 | 2022-10-24 | Large-range power transmission and transformation facility geological disaster monitoring method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115439018A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117078045A (en) * | 2023-10-12 | 2023-11-17 | 中交第四航务工程勘察设计院有限公司 | Holographic inspection and monitoring method and system for traffic infrastructure |
-
2022
- 2022-10-24 CN CN202211301165.3A patent/CN115439018A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117078045A (en) * | 2023-10-12 | 2023-11-17 | 中交第四航务工程勘察设计院有限公司 | Holographic inspection and monitoring method and system for traffic infrastructure |
| CN117078045B (en) * | 2023-10-12 | 2024-01-30 | 中交第四航务工程勘察设计院有限公司 | Holographic inspection and monitoring method and system for traffic infrastructure |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9196145B2 (en) | Method and system for automated location dependent natural disaster forecast | |
| CN111536429B (en) | Decision fusion-based oil and gas pipeline early warning system and method | |
| CN109543870B (en) | Power transmission line tower lightning stroke early warning method based on neighborhood preserving embedding algorithm | |
| CN103026394A (en) | Surface-mounted monitoring system | |
| CN115439018A (en) | Large-range power transmission and transformation facility geological disaster monitoring method and system | |
| KR101248936B1 (en) | Management system for disaster occurrence of bridge considering deterioration | |
| Khan et al. | Wireless sensor network based flood/drought forecasting system | |
| KR101000553B1 (en) | Disaster forecast system for steep slope-land using collection and analysis of real-time rainfall information considering local rainfall characteristics | |
| CN113313342B (en) | Method and system for analyzing failure probability of power grid equipment caused by multiple natural disasters | |
| CN112946240A (en) | Landslide geological disaster gene identification and prediction system | |
| CN112598243A (en) | Method for dynamically evaluating operation and maintenance safety of pipe rack | |
| CN116336385A (en) | Intrusion monitoring method, system, equipment and medium for oil and gas pipeline | |
| CN110796310A (en) | Method and system for predicting susceptibility to regional geological disasters | |
| CN116246429A (en) | Geological disaster early warning system | |
| CN115294469A (en) | Debris flow geological disaster identification method based on remote sensing satellite image | |
| CN115127034A (en) | Intelligent management system for operation safety of pipe network | |
| Khodashahi et al. | Earthquake-induced landslides hazard zonation of Rudbar-Manjil using CAMEL model | |
| CN114964354A (en) | Intelligent online monitoring unit of outdoor signboard | |
| CN106405334A (en) | Direct-buried type power transmission line protection device | |
| Mardiyono et al. | Wind speed monitoring and alert system using sensor and weather forecast | |
| LU501229B1 (en) | Integrated control system and method of geological disaster prevention information service based on big data | |
| Baloyi et al. | Internet of things: opportunity for disaster risk reduction | |
| CN113254560B (en) | Tidal disaster prediction system and method for oil field beach sea | |
| Gao et al. | Research on the Evolution Network Model of the Landslide Disaster Chain: A Case Study of the Baige Landslide | |
| CN115620234A (en) | Disaster identification method and system for area where power transmission and transformation facilities are located |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |