CN112861746B - Method and device for intercepting key video of dense transmission channel in consideration of environmental disasters - Google Patents
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Abstract
The invention discloses a method and a device for intercepting key videos of a dense transmission channel in consideration of environmental disasters, wherein the method comprises the following steps: determining typical disasters affecting the safe operation of the dense power transmission channel of the large power grid by combing the information of the disaster event and the distribution area of the external environment of the dense power transmission channel of the large power grid and combining the environment monitoring prediction information; establishing a typical disaster index system, calculating disaster index weights based on historical disaster data, and calculating the influence degree of various disasters on the dense transmission channel according to expert experience; and calculating an estimated risk value of the current intensive transmission channel, recording a video of the serious or critical grade risk, and intercepting a core short video. When severe weather disasters occur, the method and the system can predict the fault probability of the dense transmission channel in real time, realize the accurate start and stop of video equipment, reduce the power loss of the video equipment, reduce the interference of static non-disaster information of the video by intercepting key video, and reduce the pressure of a video transmission network.
Description
Technical Field
The invention relates to the technical field of operation scheduling control of power systems, in particular to a method for intercepting key videos of a dense power transmission channel in consideration of environmental disasters.
Background
Weather natural disasters are a major factor threatening the safety of modern power grids. According to the statistics, the grid faults caused by meteorological disasters account for about 70% of the total number of faults, and extreme natural disasters form an increasingly serious threat to the safe operation and production of the grid in China, in particular to the safety of the operation of dense transmission channels.
The ultra-high voltage power transmission and transformation project is greatly developed in China, the running characteristics of an ultra-high voltage alternating-current and direct-current power grid are increasingly complex, a power transmission dense power transmission channel is large in line capacity, long in distance and wide in influence range, the ultra-high voltage alternating-current and direct-current power grid is more easily restricted by external complex and changeable natural environments, and the fault forms of the power grid are diversified. At present, a plurality of dense transmission channels are formed in the national scope, and a warning system for natural disasters of the dense transmission channels is built at a plurality of provincial power dispatching control centers in China at the places where the dense transmission channels 18 are formed in the national network management scope. However, the key points of the systems and researches are to solve the problems of disaster information acquisition, monitoring, prediction and the like, the existing monitoring system is not uniform in information dispersion, not shared up and down, not associated with equipment, and lacks effective visual intelligent monitoring and quantitative risk early warning means, so that the risk of large-area power grid outage caused by serious faults of dense power transmission channels is always present.
For dense transmission channel disaster videos, the following two problems mainly exist: 1. under the condition that a video recording rule is not clear, video recording equipment needs to record videos at key moments instead of whole-course recording, so that not only is the electric energy of the video recording equipment wasted, but also high requirements are placed on a video transmission network and a video file server; 2. at present, the disaster video is too huge, so that the transmission sharing is difficult to realize among departments, and the video data playback and analysis value is low.
Disclosure of Invention
The invention aims to provide a method for intercepting a key video of a dense transmission channel in consideration of external environment disasters, and the method improves the comprehensive monitoring capability of the external environment of the dense transmission channel of a large power grid.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
the invention provides a method for intercepting key videos of a dense transmission channel in consideration of environmental disasters, which comprises the following steps:
determining typical disasters affecting the safe operation of the dense power transmission channel of the large power grid by combing the information of the disaster event and the distribution area of the external environment of the dense power transmission channel of the large power grid and combining the environment monitoring prediction information; the dense transmission channel is a transmission channel which consists of two extra-high voltage direct current lines with the voltage level of +/-800 kilovolts or more, and the minimum gap between two adjacent extra-high voltage direct current lines and wires is not more than the preset width;
establishing a typical disaster index system, calculating disaster index weights based on historical disaster data, and calculating the influence degree of each typical disaster on the dense power transmission channel;
calculating an evaluation risk value of the current dense transmission channel based on the disaster index weight and the influence degree of each typical disaster on the dense transmission channel;
and recording the video of the serious or critical grade risk according to the estimated risk value and the preset risk grade, and intercepting the key video.
Further, the typical disasters include rainfall, strong wind, lightning, icing, and forest fires.
Further, the establishing a typical disaster index system comprises the following steps:
for a typical disaster, m indexes A are defined 1 ,A 1 ,…,A m ，
Wherein A is i ＝{a i1 ,a i1 ,…,a in }，a ij The j-th disaster data indicating the i-th index, j=1, 2, …, n, n being the disaster class number.
Further, the calculating the disaster index weight based on the historical disaster data includes:
collecting historical disaster data of each index and carrying out standardized processing:
B i ＝{b i1 ,b i2 ,b i3 ,…,b in }
wherein b ij Representation a ij Normalized value, min (A i ) Is A i Minimum value of element in (a), max (a i ) Is A i Maximum value of medium element;
calculating the information entropy of each index:
if h ij =0, then
Wherein H is i Information entropy of the ith index;
calculating the weight of each index based on the information entropy:
wherein w is i Is the weight of the i index.
Further, the calculating the influence degree of each typical disaster on the dense transmission channel includes:
constructing a judgment matrix according to expert experience:
wherein k is 12 Representing the extent of hazard of the first type of hazard relative to the second type of hazard, represented by the numerals 1 to 9; the remaining elements are pushed in this way;
solving the judgment matrix eigenvector to obtain eigenvalue (lambda) 1 ，λ 2 ，λ 3 ，…，λ n ) As the degree of influence of each typical disaster on the dense transmission channel.
Further, the calculating the estimated risk value of the current dense power transmission channel based on the disaster index weight and the influence degree of each typical disaster on the dense power transmission channel includes:
r(t)＝η(t)×l(t)；
wherein r (t) represents a time-varying risk value of an external environment disaster on the dense transmission channel, eta (t) represents a time-varying probability of the external environment disaster on the dense transmission channel fault, l (t) represents a time-varying transport capacity loss value, and r T Expressed in a time interval t= [ T ] 1 ,t 2 ]Risk in.
Further, the video recording and capturing the key video includes:
based on the video interface service provided by the unified video platform, line tour video information is played in real time through analyzing a key video interface, and real-time video is clipped or recorded by utilizing video stream calculation and FFMPEG interception technology, so that the key video is intercepted.
Further, the video recording and capturing the key video further includes:
for the disasters, extracting and storing key videos of the disaster-stricken equipment in the whole process of the disaster occurrence time period; and for the disaster predicted to occur, obtaining a time period when the risk level of the dense transmission channel is serious or endangered according to the estimated risk value and the preset risk level, and extracting and storing the video.
Further, the method further comprises the following steps:
analyzing a risk range and an early warning area of the dense transmission channel according to a preset dense transmission channel risk level, and pushing the risk range and the early warning area;
and carrying out multidimensional query and play on the key video stored in the data resource pool of the dense transmission channel through the video file server.
The embodiment of the invention also provides a dense transmission channel key video intercepting device considering environmental disasters, which comprises:
the screening module is used for determining typical disasters affecting the safe operation of the dense power transmission channel of the large power grid by combing the information of the disaster event and the distribution area of the external environment of the dense power transmission channel of the large power grid and combining the environment monitoring prediction information; the dense transmission channel is a transmission channel which consists of two extra-high voltage direct current lines with the voltage level of +/-800 kilovolts or more, and the minimum gap between two adjacent extra-high voltage direct current lines and wires is not more than the preset width;
the first calculation module is used for establishing a typical disaster index system, calculating disaster index weights based on historical disaster data and calculating the influence degree of each typical disaster on the dense transmission channel;
the second calculation module is used for calculating an evaluation risk value of the current dense transmission channel based on the disaster index weight and the influence degree of each typical disaster on the dense transmission channel;
the method comprises the steps of,
and the intercepting module is used for recording the video of the serious or critical grade risk and intercepting the key video according to the estimated risk value and the preset risk grade.
Further, the first computing module is specifically configured to,
collecting historical disaster data of each index and carrying out standardized processing:
B i ＝{b i1 ,b i2 ,b i3 ,…,b in }
wherein A is i Represents the ith index, A i ＝{a i1 ,a i1 ,…,a in }，a ij J=1, 2, …, n, n is disaster class number, b ij Representation a ij Normalized value, min (A i ) Is A i Minimum value of element in (a), max (a i ) Is A i Maximum value of medium element;
calculating the information entropy of each index:
if h ij =0, then
Wherein H is i Information entropy of the ith index;
calculating the weight of each index based on the information entropy:
wherein w is i And the number of the disaster indexes is m, which is the weight of the ith index.
Further, the second computing module is specifically configured to,
the evaluation risk value of the current intensive transmission channel is calculated as follows:
r(t)＝η(t)×l(t)；
wherein r (t) represents a time-varying risk value of an external environment disaster on the dense transmission channel, eta (t) represents a time-varying probability of the external environment disaster on the dense transmission channel fault, l (t) represents a time-varying transport capacity loss value, lambda j Represents the influence degree of j-th disaster on dense transmission channels, r T Expressed in a time interval t= [ T ] 1 ,t 2 ]Risk in.
Further, the intercepting module is specifically used for,
for the disasters, extracting and storing key videos of the disaster-stricken equipment in the whole process of the disaster occurrence time period; and for the disaster predicted to occur, obtaining a time period when the risk level of the dense transmission channel is serious or endangered according to the estimated risk value and the preset risk level, and extracting and storing the video.
Compared with the prior art, the invention has the advantages that:
the invention provides a method and a device for intercepting a key video of a dense transmission channel in consideration of environmental disasters, typical disasters are combed, and an evaluation risk value of a current dense transmission channel is calculated based on disaster index weights and the influence degree of each typical disaster on the dense transmission channel; recording a video of a serious or critical grade risk according to the estimated risk value and a preset risk grade, and intercepting a core short video; when severe meteorological disasters such as heavy rain, strong wind, mountain fire, thunder and lightning, icing and the like occur, the method can predict the fault probability of the dense transmission channel in real time, realize the accurate start and stop of video equipment, reduce the power loss of the video equipment and prolong the service life of the video equipment. By intercepting the key video, the interference of static non-disaster information of the video is reduced, the pressure of a video transmission network is reduced, the key video is shared among different departments, and effective support is provided for fault analysis of the dense transmission channel.
Drawings
Fig. 1 is a schematic flow chart of a method for intercepting key videos of a dense transmission channel in consideration of environmental disasters;
FIG. 2 is a schematic flow chart of a method according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, the invention provides a method for intercepting a key video of a dense transmission channel in consideration of environmental disasters, which comprises the following steps:
the characteristic of external disaster event information and distribution areas of the dense transmission channels of the large power grid is analyzed through carding, and typical disaster scenes affecting safe operation of the dense transmission channels of the large power grid are tidied by combining with external environment monitoring prediction information;
based on typical disaster scenes, a risk mechanism of influence of different types of disasters on safe operation of dense channels of a large power grid is provided through a data preprocessing analysis technology, key features such as occurrence time, place, level, hazard degree and the like of disaster information are accurately perceived, and a typical disaster information monitoring and predicting model is constructed;
video recording is carried out according to disaster risk assessment results by means of dense channel on-site video equipment, and then core short videos are identified and intercepted according to portions with high association degree with external environment disasters in video information;
by means of disaster information eventualization, comprehensive system risk early warning and display analysis are carried out by combining a visualization technology, and basis is provided for dispatcher monitoring and decision making.
Referring to fig. 2, the method for intercepting a key video of a dense power transmission channel in consideration of an external environment disaster provided in this embodiment specifically includes the steps of:
and (1) establishing external environment disaster event information and distribution characteristics of the intensive transmission channels, and determining typical disaster scenes by combining monitoring information.
In this embodiment, the dense power transmission channel is an important power transmission channel which is formed by two extra-high voltage direct current lines with voltage levels of +/-800 kilovolts and above, and the minimum gap between two adjacent extra-high voltage direct current lines and wires is not larger than a preset width. In the embodiment of the invention, the preset width is 100 meters.
And (2) establishing a relation model based on disaster information and key equipment aiming at different typical disaster scenes.
The modeling method is an existing entropy weight method and gray correlation analysis method, and is divided into four parts of extracting disaster factors affecting key equipment, calculating index weights based on the disaster factors, deepening the association relation between external disasters and equipment, constructing a risk assessment model and outputting conclusions.
(21) And identifying various external environment factors influencing the faults and the risk grades of the dense transmission channel by acquiring natural disaster key factor researches influencing the safe operation of the dense transmission channel.
The external environment disasters are generated by the comprehensive action of natural conditions and the power grid environment, and can cause destructive influence on the power grid, including disaster scenes such as rainfall, strong wind, thunder, icing, mountain fire and the like, which influence the safe operation of the dense power transmission channel of the large power grid.
(22) And constructing an evaluation index matrix by collecting historical data under each typical disaster scene by adopting an entropy weight method, and calculating the weight of each disaster.
a) And (5) carrying out standardized processing on the index data collected under each disaster.
Assume that m indexes A are defined under each disaster 1 ,A 1 ,…,A m ，
Wherein A is i ＝{a i1 ,a i1 ,…,a in }，a ij Jth disaster data representing an ith index,
the normalized values for each index data are:
B i ＝{b i1 ,b i2 ,b i3 ,…,b in }
b) According to the definition of the information entropy in the information theory, the information entropy of each index is as follows:
wherein,
if h ij And=0, then the definition,
c) According to the calculation formula of the information entropy, calculating the information entropy of each index to be H 1 ,H 2 ,…,H m Calculating the weight of each index through information entropy:
(23) And determining the influence degree of each disaster on the dense channel risk by adopting an expert experience method and a judgment matrix and combining the disaster risk grades.
Currently known disasters and their risk level criteria are referenced below:
rainfall, primary warning (early warning), 1 hour is more than or equal to 16mm (heavy rain); and secondary warning (early warning) is carried out, wherein the time of 1 hour is more than or equal to 8mm (heavy rain).
Wind power, primary warning (early warning), wherein the wind power is more than or equal to 8 levels; and a secondary alarm (early warning), wherein the wind power is more than or equal to 7 levels.
Thunder and lightning, primary warning (early warning), more than 10 thunder and lightning are dropped within the range of 1 km of the line; secondary alarm (early warning), the thunder of the line within 1 km range is more than 3.
Mountain fire, primary warning (early warning), and the distance between the lines and the fire is less than or equal to 0.5km; and secondary warning (early warning) that the distance between the line and the fire point is less than or equal to 3km.
Ice coating, primary warning (early warning), wherein the ice coating exceeds 10mm; and (5) secondary warning (early warning), wherein the icing exceeds 5mm.
According to expert experience, the relative sizes of hazards brought by disasters to dense channels are considered as follows: thunder and lightning > icing > mountain fire > strong wind > rainfall, and determining the influence degree of each disaster by combining the judgment matrix.
Specifically, the expert system obtains the relative harmfulness of each disaster, constructs a judgment matrix,
wherein k is 12 Representing the extent of hazard of the first type of hazard relative to the second type of hazard (represented by the numbers 1 to 9, 1 representing equal importance, higher numbers representing lower hazard of the latter), and so on.
Calculating and judging matrix eigenvector to obtain (lambda) 1 ，λ 2 ，λ 3 ，…，λ n ) The degree of influence of each disaster on the dense channel is obtained.
(24) Based on the results of the steps (22) and (23), constructing a dense transmission channel risk assessment model, finishing the numerical analysis of the risk assessment results of each transmission line, and outputting the equipment risk assessment results.
Constructing a dense transmission channel risk assessment model, which comprises the following steps:
dense transmission path risk refers to the product of the probability of line failure caused by a disaster and the resulting loss of transmission capacity.
Analysis shows that the dense channel fault caused by the index is time-varying, and meanwhile, the transmission power of the transmission line is also time-varying, so that the weather risk of the transmission line is time-varying, namely:
r(t)＝η(t)×l(t)
where r (t) represents a time-varying risk value of an external environmental disaster affecting the dense transmission channel, η (t) represents a time-varying probability of a natural disaster affecting the dense transmission channel fault, and l (t) represents a time-varying transport capacity loss value.
η (t) is calculated as follows:
the weather risk of the dense transmission channel in a certain time interval can be expressed as:
wherein r is T Expressed in a time interval t= [ T ] 1 ,t 2 ]Risk in.
And establishing risk grade division standards for different areas and conditions by combining an expert system, and determining disaster risk assessment results, namely risk grades, of the dense transmission channel equipment based on the risk values.
And (3) depending on dense channel on-site video equipment, recording a video when serious or critical grade risks occur based on the risk grade determined by the disaster risk assessment result to obtain key video information and intercepting a core short video.
The method comprises the steps of obtaining video information, namely, based on video interface service provided by a unified video platform, playing line inspection video information in real time through analyzing a key video interface, and editing or recording real-time video by utilizing video stream calculation and FFMPEG interception technical means to obtain the key video information.
The video stream calculation comprises the step of obtaining massive video data from dense channels of a large power grid in real time, and obtaining valuable information through real-time analysis and processing. Stream computation inherits a basic idea that the value of data decreases over time. Thus, the disaster event should be handled immediately when it occurs, rather than being cached for batch processing.
Video stream computation includes three phases: video data real-time acquisition, video data real-time calculation and real-time query service.
Intercepting the core short video comprises analyzing power grid faults and abnormal events, screening out equipment key video, intercepting by using FFMPEG, realizing lean management of short video information, and guaranteeing iterative management of video information.
FFMPEG is an excellent set of open source computer programs for manipulating audio and video, and has powerful functions including video capture, video format conversion, video capture, etc.
The core short videos comprise two types, namely, for the disasters, extracting the core short videos of the disaster-stricken equipment in the whole process of the disaster occurrence time period, and storing the core short videos in a data resource pool; and for disasters to occur, obtaining a time period with higher risk level of the dense channel according to the risk evaluation result, and extracting videos.
The video screening comprises video lean, video content verification, video grade sorting, video label mapping and the like, and periodically manages the data resource pool of the dense transmission channel.
And (4) carrying out comprehensive system risk early warning and display analysis by depending on disaster information eventualization and combining a visualization technology, and providing basis for dispatcher monitoring and decision making.
The risk early warning comprises pushing corresponding risk early warning schemes by risk assessment result levels, obtaining a risk range and an early warning area of the whole dense channel according to risk level results of all equipment in the dense channel, and providing early warning information for dispatching operators.
The risk display comprises multi-dimensional inquiring and playing of core short videos stored in a data resource pool of the dense transmission channel by means of a video file server.
The embodiment of the invention provides a method for intercepting key videos of a dense power transmission channel in consideration of external environment disasters, which can predict the fault probability of the dense power transmission channel in real time when severe meteorological disasters such as heavy rain, strong wind, mountain fire, thunder and ice coating occur, so that the accurate start and stop of video equipment are realized, the power consumption of the video equipment is reduced, and the service life of the video equipment is prolonged. And by intercepting the key video, the interference of static non-disaster information of the video is reduced, the pressure of a video transmission network is reduced, the key video is shared among different departments, and an effective support is provided for fault analysis of the dense transmission channel. The realization of the technology can comprehensively improve the operation safety level of key equipment of the dense transmission channel, enhance the online analysis and risk assessment capability of the power grid, effectively improve the lean and integrated level of risk early warning of the large power grid, and protect the driving and navigation for the safe and stable operation of the power grid.
The embodiment of the invention also provides a dense transmission channel key video intercepting device considering environmental disasters, which comprises:
the screening module is used for determining typical disasters affecting the safe operation of the dense power transmission channel of the large power grid by combing the information of the disaster event and the distribution area of the external environment of the dense power transmission channel of the large power grid and combining the environment monitoring prediction information; the dense transmission channel is a transmission channel which consists of two extra-high voltage direct current lines with the voltage level of +/-800 kilovolts or more, and the minimum gap between two adjacent extra-high voltage direct current lines and wires is not more than the preset width;
the first calculation module is used for establishing a typical disaster index system, calculating disaster index weights based on historical disaster data and calculating the influence degree of each typical disaster on the dense transmission channel;
the second calculation module is used for calculating an evaluation risk value of the current dense transmission channel based on the disaster index weight and the influence degree of each typical disaster on the dense transmission channel;
the method comprises the steps of,
and the intercepting module is used for recording the video of the serious or critical grade risk and intercepting the key video according to the estimated risk value and the preset risk grade.
In particular, the first computing module is configured to,
collecting historical disaster data of each index and carrying out standardized processing:
B i ＝{b i1 ,b i2 ,b i3 ,…,b in }
wherein A is i Represents the ith index, A i ＝{a i1 ,a i1 ,…,a in }，a ij J=1, 2, …, n, n is disaster class number, b ij Representation a ij Normalized value, min (A i ) Is A i Minimum value of element in (a), max (a i ) Is A i Maximum value of medium element;
calculating the information entropy of each index:
if h ij =0, then
Wherein H is i Information entropy of the ith index;
calculating the weight of each index based on the information entropy:
wherein w is i And the number of the disaster indexes is m, which is the weight of the ith index.
In particular, the second calculation module is configured to,
the evaluation risk value of the current intensive transmission channel is calculated as follows:
r(t)＝η(t)×l(t)；
wherein r (t) represents an external environmental disasterA time-varying risk value affecting the dense transmission channel, eta (t) represents a time-varying probability of an external environment disaster to the dense transmission channel fault, l (t) represents a time-varying transmission capacity loss value, lambda j Represents the influence degree of j-th disaster on dense transmission channels, r T Expressed in a time interval t= [ T ] 1 ,t 2 ]Risk in.
In particular, the intercepting module is used for,
for the disasters, extracting and storing key videos of the disaster-stricken equipment in the whole process of the disaster occurrence time period; and for the disaster predicted to occur, obtaining a time period when the risk level of the dense transmission channel is serious or endangered according to the estimated risk value and the preset risk level, and extracting and storing the video.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (11)
1. The method for intercepting the key video of the dense transmission channel considering the environmental disasters is characterized by comprising the following steps:
determining typical disasters affecting the safe operation of the dense power transmission channel of the large power grid by combing the information of the disaster event and the distribution area of the external environment of the dense power transmission channel of the large power grid and combining the environment monitoring prediction information; the dense transmission channel is a transmission channel which consists of two extra-high voltage direct current lines with the voltage level of +/-800 kilovolts or more, and the minimum gap between two adjacent extra-high voltage direct current lines and wires is not more than the preset width;
establishing a typical disaster index system, calculating disaster index weights based on historical disaster data, and calculating the influence degree of each typical disaster on the dense power transmission channel;
based on the disaster index weight and the influence degree of each typical disaster on the dense transmission channel, calculating the evaluation risk value of the current dense transmission channel as follows:
r(t)＝η(t)×l(t)；
wherein r (t) represents a time-varying risk value of an external environment disaster on the dense transmission channel, eta (t) represents a time-varying probability of the external environment disaster on the dense transmission channel fault, l (t) represents a time-varying transport capacity loss value, and r T Expressed in a time interval t= [ T ] 1 ,t 2 ]Risk in, w i The ith disaster index weight, m is the number of disaster indexes, a ij The j-th type typical disaster data representing the i-th disaster index, n being the typical disaster type number, lambda j The degree of influence of the j-th type typical disasters on the dense transmission channel is determined;
and recording the video of the serious or critical grade risk according to the estimated risk value and the preset risk grade, and intercepting the key video.
2. The method for intercepting critical video of dense transmission channels in consideration of environmental disasters according to claim 1, wherein the typical disasters include rainfall, strong wind, thunder, icing and forest fire.
3. The method for intercepting critical video of dense transmission channels in consideration of environmental disasters according to claim 1, wherein the establishing a typical disaster index system comprises:
for a typical disaster, m indexes A are defined 1 ,A 1 ,…,A m ，
Wherein A is i ＝{a i1 ,a i1 ,…,a in }，a ij Represents the ith fingerThe j-th disaster data is the number of disaster categories, j=1, 2, …, n and n.
4. The method for intercepting dense power transmission channel key videos considering environmental disasters according to claim 3, wherein calculating disaster index weights based on historical disaster data comprises:
collecting historical disaster data of each index and carrying out standardized processing:
wherein b ij Representation a ij Normalized value, min (A i ) Is A i Minimum value of element in (a), max (a i ) Is A i Maximum value of medium element;
calculating the information entropy of each index:
if h ij =0, then
Wherein H is i Information entropy of the ith index;
calculating the weight of each index based on the information entropy:
wherein w is i Is the weight of the i index.
5. The method for intercepting a critical video of a dense power transmission channel in consideration of environmental disasters according to claim 4, wherein the calculating the influence degree of each typical disaster on the dense power transmission channel comprises:
constructing a judgment matrix according to expert experience:
wherein k is 12 Representing the extent of hazard of the first type of hazard relative to the second type of hazard, represented by the numerals 1 to 9; the remaining elements are pushed in this way;
solving the judgment matrix eigenvector to obtain eigenvalue (lambda) 1 ，λ 2 ，λ 3 ，…，λ n ) As the degree of influence of each typical disaster on the dense transmission channel.
6. The method for intercepting a critical video of a dense transmission channel in consideration of environmental disasters according to claim 1, wherein the steps of recording video and intercepting the critical video comprise:
based on the video interface service provided by the unified video platform, line tour video information is played in real time through analyzing a key video interface, and real-time video is clipped or recorded by utilizing video stream calculation and FFMPEG interception technology, so that the key video is intercepted.
7. The method for intercepting dense power transmission channel key videos considering environmental disasters according to claim 6, wherein the steps of recording video and intercepting key videos further comprise:
for the disasters, extracting and storing key videos of the disaster-stricken equipment in the whole process of the disaster occurrence time period; and for the disaster predicted to occur, obtaining a time period when the risk level of the dense transmission channel is serious or endangered according to the estimated risk value and the preset risk level, and extracting and storing the video.
8. The method for intercepting dense transmission channel key videos considering environmental disasters according to claim 1, further comprising:
analyzing a risk range and an early warning area of the dense transmission channel according to a preset dense transmission channel risk level, and pushing the risk range and the early warning area;
and carrying out multidimensional query and play on the key video stored in the data resource pool of the dense transmission channel through the video file server.
9. The dense power transmission channel key video intercepting device considering environmental disasters, which is characterized by being used for realizing the dense power transmission channel key video intercepting method considering environmental disasters according to any one of claims 1 to 8, wherein the device comprises:
the screening module is used for determining typical disasters affecting the safe operation of the dense power transmission channel of the large power grid by combing the information of the disaster event and the distribution area of the external environment of the dense power transmission channel of the large power grid and combining the environment monitoring prediction information; the dense transmission channel is a transmission channel which consists of two extra-high voltage direct current lines with the voltage level of +/-800 kilovolts or more, and the minimum gap between two adjacent extra-high voltage direct current lines and wires is not more than the preset width;
the first calculation module is used for establishing a typical disaster index system, calculating disaster index weights based on historical disaster data and calculating the influence degree of each typical disaster on the dense transmission channel;
the second calculation module is used for calculating an evaluation risk value of the current dense power transmission channel based on the disaster index weight and the influence degree of each typical disaster on the dense power transmission channel, and the evaluation risk value is calculated as follows:
r(t)＝η(t)×l(t)；
wherein r (t) represents a time-varying risk value of an external environment disaster on the dense transmission channel, eta (t) represents a time-varying probability of the external environment disaster on the dense transmission channel fault, l (t) represents a time-varying transport capacity loss value, lambda j Represents the influence degree of j-th disaster on dense transmission channels, r T Expressed in a time interval t= [ T ] 1 ,t 2 ]Risk in;
the method comprises the steps of,
and the intercepting module is used for recording the video of the serious or critical grade risk and intercepting the key video according to the estimated risk value and the preset risk grade.
10. The apparatus of claim 9, wherein the first computing module is configured to,
collecting historical disaster data of each index and carrying out standardized processing:
B i ＝{b i1 ,b i2 ,b i3 ,...,b in }
wherein A is i Represents the ith index, A i ＝{a i1 ,a i1 ,...,a in }，a ij J=1, 2, …, n, n is disaster class number, b ij Representation a ij Normalized value, min (A i ) Is A i Minimum value of element in (a), max (a i ) Is A i Maximum value of medium element;
calculating the information entropy of each index:
if h ij =0, then
Wherein H is i Information entropy of the ith index;
calculating the weight of each index based on the information entropy:
wherein w is i And the number of the disaster indexes is m, which is the weight of the ith index.
11. The dense transmission channel key video intercepting device considering environmental disasters according to claim 9, wherein the intercepting module is specifically configured to,
for the disasters, extracting and storing key videos of the disaster-stricken equipment in the whole process of the disaster occurrence time period; and for the disaster predicted to occur, obtaining a time period when the risk level of the dense transmission channel is serious or endangered according to the estimated risk value and the preset risk level, and extracting and storing the video.
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