CN114124661A - Power grid Ka high-flux satellite network communication fault determination method and device - Google Patents
Power grid Ka high-flux satellite network communication fault determination method and device Download PDFInfo
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Abstract
The invention discloses a method and a device for judging network communication faults of a power grid Ka high-throughput satellite, which are used for monitoring network faults, intelligently recording network state information when the network faults occur, uploading the recorded network state information to a satellite network management platform when the connection of the satellite network management platform is monitored, training a model of influence of weather and position information on the network state information through neural network learning of historical sample data by the management platform, realizing centralized control, improving the efficiency and the precision of judging the network communication faults of the power grid Ka high-throughput satellite, and having high accuracy, high speed and good real-time performance.
Description
Technical Field
The invention relates to a software development technology of a network management system in the technical field of computers, and also relates to a communication technology related to geographical position information, in particular to a method and a device for judging communication faults of a power grid Ka high-flux satellite network, a readable storage medium and a computer control system.
Background
In the field of power systems, because of the wide distribution and partial remoteness of power service networks, and the fact that ground public network communication networks and private network communication networks cannot completely meet real-time communication requirements, a Ka high-throughput satellite communication network needs to be introduced for supplementary services. The ground public network communication network is mainly a 3G, 4G or 5G wireless communication network. The private network communication network mainly comprises power system carrier communication, 1.4G or 1.8G wireless private network communication and a traditional Ku frequency band satellite communication private network.
Although the 4G/5G wireless public network is better covered in urban areas, a coverage blind area or poor coverage phenomenon usually exists in application scenes such as mountains and mountains, sea-crossing power transmission lines and the like; the construction of a 1.4G or 1.8G wireless private network communication system is still in a primary stage, and the overall coverage rate is not good enough; the traditional Ku frequency band satellite communication system has the inherent characteristics of large equipment volume, high weight, large power consumption, poor portability and expensive communication bandwidth resources.
Therefore, the application of the communication network in the power system is limited no matter the ground public network communication network or the ground private network communication network. In a typical satellite network access scene, an intelligent portable antenna of a satellite network is connected with a plurality of devices through a router, data collected by the devices are reported to a management platform through the intelligent portable antenna, and data analysis and monitoring are carried out through the management platform. However, there are some disadvantages in the existing satellite network access scenario: the geographical condition of power station construction is complex, network faults exist, and the management platform cannot effectively acquire the network state information of the intelligent portable antenna; when the anti-external-damage camera and the sensor for assisting the production of the power system are installed on the iron tower, the data transmission of the anti-external-damage camera and the sensing system is difficult on the iron tower which is not covered by public and private networks, and the waste of communication resources can be caused during the video return; the existing unmanned aerial vehicle can not provide stable high bandwidth and low cost guarantee when data is transmitted back to the command center, and is not beneficial to saving channel resources.
Disclosure of Invention
Aiming at the problems in the background art, the utility model provides a power grid Ka high-flux satellite network communication fault determination method, when a high-flux satellite integrated portable station reports data, the change of network state information before and after communication fault is recorded through a router in the portable station, sample data is provided for a neural network training model, and a management platform can effectively monitor the communication network state in real time.
The invention relates to a method for judging communication faults of a power grid Ka high-flux satellite network, which comprises the following steps of:
s1, acquiring the communication state of the power equipment and the Ka high-flux satellite network management platform through a router in the intelligent portable antenna;
s2, acquiring the position information of the electric power equipment through the Beidou position positioning module, and acquiring the meteorological information of the position of the electric power equipment through the meteorological data sensing equipment;
s3, the management platform monitors that if the communication state has a fault, the router records the network state information before and during the fault;
s4, when the communication state fault is eliminated, reporting the network state information, the weather information and the position information to the management platform through the router;
s5, the management platform establishes a relation model influencing the communication network quality according to historical sample data of weather information, position information and network state information, and judges whether Ka high-flux satellite network communication has faults or not in real time.
The invention is based on a software framework of a management platform and a Ka high-flux satellite integrated portable station, carries out network fault monitoring, intelligently records network state information when network faults occur, uploads the recorded network state information to the satellite network management platform when the satellite network management platform is monitored to be connected again, trains an influence model of weather and position information on the network state information through neural network learning of the management platform on historical sample data, realizes centralized control, estimates the reason and duration of communication faults through weather prediction at the position of unknown network state information, determines a corresponding data transmission strategy according to the estimated fault state data, and preferentially transmits required data when communication is normal. The efficiency and the precision of power grid Ka high-flux satellite network communication fault judgment are improved, and the method is high in accuracy, high in speed and good in real-time performance.
The Ka high-flux satellite is a novel communication satellite adopting a Ka frequency band. The Ka frequency band has the characteristics of wide usable bandwidth, less interference and small equipment volume. Therefore, the Ka band broadband satellite communication system can provide a new means for new services such as high-speed satellite communication, gigabit broadband digital transmission, High Definition Television (HDTV), satellite news collection (SNG), VSAT service, direct-to-home (DTH) service, and personal satellite communication.
Specifically, the intelligent portable antenna is connected with a plurality of electric power devices through a router in a satellite network, reports data acquired by the electric power devices to a management platform, and performs data analysis and monitoring through the management platform.
Furthermore, the Beidou position positioning module is arranged in the intelligent portable antenna, acquires position information in real time and draws the position of the equipment in real time by using a map; the weather information comprises rainfall intensity, rainfall passing distance, snowfall amount, snowfall passing distance and lightning quantity at the same moment.
Further, the network state information comprises communication instructions, communication data and communication signal attenuation amount; when the communication state has a fault, the network state information shows that the communication instruction is lost, the communication data is lost and the communication signal is attenuated; the historical sample data is selected by analyzing weather information and position information related to the change of the network state information through the sample.
Further, the step of establishing a relation model influencing the communication network quality by the management platform according to historical sample data of the meteorological information, the position information and the network state information, and judging whether the Ka high-flux satellite network communication has faults in real time comprises the following steps: establishing a neural network model, wherein the number of layers of the neural network is K, the number of nodes from an input layer to an output layer is m0, m1, m2 and … … mK respectively, the dimensionality of an input vector is m0, the input vector comprises the rainfall intensity, the rainfall passing distance, the snowfall amount, the snowfall passing distance and the lightning number at the same moment, the dimensionality of an output vector is mK, the output vector is influenced or not, and the kth layer of the network outputs Y(k)Comprises the following steps:
net(k)＝W(k)Y(k-1)+b(k)
wherein, b(k)Is a bias vector of the k-th layer, w(k)Is a weight matrix of the k-th layer, Y(k-1)For the k-1 th layer output, f(k)Is the k-th layer activation function, W is the weight matrix, i is the intermediate parameter of the vector dimension, k is the number of layers, j is the intermediate parameter of the vector dimension, T represents the meaning of the vector transposition, mkIs the number of nodes of the k-th layer, Wi,j (k)Is the weight matrix factor of the ith input vector to the jth output vector of the kth layer,
Yj (k-1)is the j-th dimension of the output vector of layer k-1, bi (k)Is the i dimension, net, of the bias vector of the k layeri (k)Input quantities for k-th (hidden) layer neuronsOf the ith dimension, net(k)Each element in the set of elements represents a weighted sum of the input layer vector and the bias vector;
obtaining node input values and node output values of each layer in the neural network model according to layer-by-layer calculation; and according to historical sample data and calculation results of meteorological information, position information and network state information, carrying out backward derivation layer by layer through a network updating algorithm of error back propagation, updating the weight of the neural network model until a trained neural network is obtained, and carrying out fault judgment on the communication state of the real-time Ka high-flux satellite network according to the trained neural network.
Further, the router reports the network state information, the weather information and the position information to the management platform, and the management platform counts network transmission signal attenuation under the influence of different weather information of each geographic position according to the network state information before and during the fault.
Further, when the management platform monitors that the communication state has a fault, the management platform inquires a local weather forecast according to the position information, estimates the duration of the communication fault according to the influence degree of the weather forecast and historical weather information on the network state information, and updates a data transmission strategy.
The invention also provides a device for judging the communication fault of the power grid Ka high-flux satellite network, which comprises the following components:
the device is used for acquiring the communication state of the power equipment and the Ka high-flux satellite network management platform through a router in the intelligent portable antenna;
the device is used for acquiring the position information of the electric power equipment through the Beidou position positioning module and acquiring the meteorological information of the position of the electric power equipment through the meteorological data sensing equipment;
means for the management platform monitoring if the communication state has a fault, recording network state information before and during the fault by the router;
means for reporting the network state information, weather information and location information to the management platform via the router after the communication state failure is eliminated;
and the device is used for establishing a relation model influencing the communication network quality by the management platform according to historical sample data of the meteorological information, the position information and the network state information, and judging whether the Ka high-flux satellite network communication has faults or not in real time.
Further, the present invention provides a readable storage medium having a control program stored thereon, characterized in that: when being executed by a processor, the control program realizes the method for determining the communication fault of the power grid Ka high-flux satellite network.
Further, the present invention provides a computer control system, including a storage, a processor, and a control program stored in the storage and executable by the processor, wherein: when the processor executes the control program, the method for determining the communication fault of the power grid Ka high-flux satellite network is realized.
In order that the invention may be more clearly understood, specific embodiments thereof will be described hereinafter with reference to the accompanying drawings.
Drawings
Fig. 1 is a flowchart of a power grid Ka high-throughput satellite network communication fault determination method according to an embodiment of the present invention.
Fig. 2 is a high throughput satellite network networking architecture diagram according to an embodiment of the invention.
FIG. 3 is a diagram of a management platform software architecture according to an embodiment of the present invention.
Fig. 4 is a flowchart of reporting a state of an intelligent portable antenna network according to an embodiment of the present invention.
FIG. 5 is a flow chart of network status failure analysis incorporating location information and weather information in accordance with an embodiment of the present invention.
FIG. 6 is a table showing statistics of the influence of historical meteorological information sample data on network status information according to an embodiment of the present invention.
Detailed Description
Please refer to fig. 1, which is a flowchart illustrating a method for determining a communication fault of a power grid Ka high-throughput satellite network according to an embodiment of the present invention.
The invention relates to a method for judging communication faults of a power grid Ka high-flux satellite network, which comprises the following steps of:
s1, acquiring the communication state of the power equipment and the Ka high-flux satellite network management platform through a router in the intelligent portable antenna;
s2, acquiring the position information of the electric power equipment through the Beidou position positioning module, and acquiring the meteorological information of the position of the electric power equipment through the meteorological data sensing equipment;
s3, the management platform monitors that if the communication state has a fault, the router records the network state information before and during the fault;
s4, when the communication state fault is eliminated, reporting the network state information, the weather information and the position information to the management platform through the router;
s5, the management platform establishes a relation model influencing the communication network quality according to historical sample data of weather information, position information and network state information, and judges whether Ka high-flux satellite network communication has faults or not in real time.
The invention is based on a software framework of a management platform and a Ka high-flux satellite integrated portable station, carries out network fault monitoring, intelligently records network state information when network faults occur, uploads the recorded network state information to the satellite network management platform when the satellite network management platform is monitored to be connected again, trains an influence model of weather and position information on the network state information through neural network learning of the management platform on historical sample data, realizes centralized control, estimates the reason and duration of communication faults through weather prediction at the position of unknown network state information, determines a corresponding data transmission strategy according to the estimated fault state data, and preferentially transmits required data when communication is normal. The efficiency and the precision of power grid Ka high-flux satellite network communication fault judgment are improved, and the method is high in accuracy, high in speed and good in real-time performance.
Fig. 2 is a high throughput satellite network networking architecture diagram according to an embodiment of the invention.
The management platform of the embodiment is responsible for centralized management and control of network access, equipment and user service equipment of a plurality of Ka high-throughput satellite integrated portable stations. Each different user needs to configure an independent server to deploy an independent information center. The Ka high-flux satellite integrated portable station is connected with a command and scheduling information center of a power grid emergency command center to complete the functions of front satellite network access and command communication. The Ka high-flux satellite communication network provides services such as high-flux satellite communication, safe access, channel management and the like for the high-flux satellite integrated portable station in the practical application scene of the power system; the management platform realizes a satellite network management system and can remotely monitor, manage and maintain network elements in a network. The management platform and the Ka high-flux satellite integrated portable station are connected through a high-flux satellite communication network, and fig. 2 is a networking architecture under a newly-built power station application scene.
Specifically, the intelligent portable antenna is connected with a plurality of electric power devices through a router in a satellite network, reports data acquired by the electric power devices to a management platform, and performs data analysis and monitoring through the management platform. In the management platform, all equipment is managed through a unified interface, and differences of different equipment operation interfaces are invisible to a user; the management platform equipment system of each industry has specificity, such as a public security industry integrated geographic information, Beidou positioning, cluster scheduling, testimony verification and administrative office system, an electric power industry integrated unmanned aerial vehicle, an individual soldier graph transmission and video conference system, and a shipping industry integrated communication-in-motion antenna, a video monitoring and broadband internet access system; the management platform supports remote operation, integrates a geographic information platform and a video platform, and has the advantages of adjustable images, portrayal tracks and accurate vehicle and ship positioning.
FIG. 3 is a diagram of a management platform software architecture according to an embodiment of the present invention.
The Beidou position positioning module is arranged in the intelligent portable antenna, acquires position information in real time and draws the position of equipment in real time by using a map; the weather information comprises rainfall intensity, rainfall passing distance, snowfall amount, snowfall passing distance and lightning quantity at the same moment. The Beidou position positioning module of the embodiment adopts a Beidou satellite navigation system, is a global satellite positioning and communication system (BDS) developed by China, and is a satellite navigation system which is the third mature after American Global Positioning System (GPS) and Russian GLONASS. The system consists of a space end, a ground end and a user end, can provide high-precision and high-reliability positioning, navigation and time service for various users all day long in the world, has short message communication capacity, and initially has regional navigation, positioning and time service capacity.
Fig. 4 is a flowchart of reporting a state of an intelligent portable antenna network according to an embodiment of the present invention.
step1.1, the router acquires the communication state of the intelligent portable antenna and the management platform;
step1.2 if the communication state has no fault, not processing; if the communication state has a fault, the next step is carried out;
the step1.3 router records the network state information before and during the fault, and the management platform monitors whether the communication fault is eliminated in real time;
step1.4 if the communication fault is not eliminated, the router continuously records the network state information; and if the communication fault is eliminated, the router reports the stored network state information to the management platform.
The network state information comprises communication instructions, communication data and communication signal attenuation; when the communication state has a fault, the network state information shows that the communication instruction is lost, the communication data is lost and the communication signal is attenuated; the historical sample data is selected by analyzing weather information and position information related to the change of the network state information through the sample. The communication fault reaction of the embodiment is represented as data loss in a data plane, including communication instruction loss and communication data loss; the communication signal attenuation is shown in the signal level, and the network state information is characterized by the data level and the signal level aiming at the fault caused by the signal attenuation of the communication link.
FIG. 5 is a flow chart of network status failure analysis incorporating location information and weather information in accordance with an embodiment of the present invention.
step2.1, the router acquires the communication state of the intelligent portable antenna and the management platform;
step2.2 if the communication state has no fault, not processing; if the communication state has a fault, the next step is carried out;
the step2.3 router records the network state information before and during the fault and collects the position information and meteorological information of the intelligent portable antenna; the management platform monitors whether the communication fault is eliminated in real time;
step2.4 if the communication fault is not eliminated, the router continuously records the network state information, the position information and the meteorological information; if the communication fault is eliminated, the router reports the stored network state information, weather information and position information to the management platform.
And the step2.5 management platform carries out real-time fault analysis on the network communication according to historical sample data of the meteorological information, the position information and the network state information.
Specifically, the step of establishing a relation model influencing the communication network quality by the management platform according to historical sample data of weather information, position information and network state information and judging whether Ka high-flux satellite network communication has faults in real time comprises the following steps: establishing a neural network model, wherein the number of layers of the neural network is K, the number of nodes from an input layer to an output layer is m0, m1, m2 and … … mK respectively, the dimensionality of an input vector is m0, the input vector comprises the rainfall intensity, the rainfall passing distance, the snowfall amount, the snowfall passing distance and the lightning number at the same moment, the dimensionality of an output vector is mK, the output vector is influenced or not, and the kth layer of the network outputs Y(k)Comprises the following steps:
net(k)＝W(k)Y(k-1)+b(k)
wherein, b(k)Is a bias vector of the k-th layer, w(k)Is a weight matrix of the k-th layer, Y(k-1)For the k-1 th layer output, f(k)Is the k-th layer activation function, W is the weight matrix, i is the intermediate parameter of the vector dimension, k is the number of layers, j is the intermediate parameter of the vector dimension, T represents the meaning of the vector transposition, mkIs the number of nodes of the k-th layer, Wi,j (k)Is the weight matrix factor of the ith input vector to the jth output vector of the kth layer,
Yj (k-1)is the j-th dimension of the output vector of layer k-1, bi (k)Is the i dimension, net, of the bias vector of the k layeri (k)The ith dimension, net, of the input to the k-th (hidden) layer neuron(k)Each element in the set of elements represents a weighted sum of the input layer vector and the bias vector;
obtaining node input values and node output values of each layer in the neural network model according to layer-by-layer calculation; and according to historical sample data and calculation results of meteorological information, position information and network state information, carrying out backward derivation layer by layer through a network updating algorithm of error back propagation, updating the weight of the neural network model until a trained neural network is obtained, and carrying out fault judgment on the communication state of the real-time Ka high-flux satellite network according to the trained neural network.
FIG. 6 is a table showing statistics of the influence of historical meteorological information sample data on network status information according to an embodiment of the present invention.
The router reports the network state information, the meteorological information and the position information to the management platform, and the management platform counts network transmission signal attenuation under the influence of different meteorological information of each geographic position according to the network state information before and in the fault.
The management platform analyzes the reasons generated by the change of the network state according to the meteorological data, when the communication state is monitored to have faults, inquires local meteorological forecasts according to the position information, estimates the duration of the communication faults according to the influence degree of the meteorological forecasts and historical meteorological information on the network state information, and updates a data transmission strategy. And whether the abnormal condition is generated due to meteorological change is confirmed, so that the management platform can conveniently perform positioning analysis on the fault.
In this embodiment, the influence statistical table of the acquired historical meteorological information sample data on the network state information shows rainfall intensity, rainfall passing distance, snowfall amount, snowfall passing distance, and signal attenuation amount caused by the number of lightning at the same moment in different samples, where the signal attenuation amount is communication quality characterization data and is expressed in db. When the rainfall intensity is 1mm/h and the rainfall passing distance is 1km, the attenuation amount of the network communication signal is 0.2db, the rainfall intensity and the rainfall passing distance are selected as effective samples in the sample analysis, and the network communication fault is eliminated when the rainfall intensity and the rainfall passing distance are 0, namely the weather is recovered to be normal, at the position where the sample is located.
The invention is based on a software framework of a management platform and a Ka high-flux satellite integrated portable station, carries out network fault monitoring, intelligently records network state information when network faults occur, uploads the recorded network state information to the satellite network management platform when the satellite network management platform is monitored to be connected again, trains an influence model of weather and position information on the network state information through neural network learning of the management platform on historical sample data, realizes centralized control, estimates the reason and duration of communication faults through weather prediction at the position of unknown network state information, determines a corresponding data transmission strategy according to the estimated fault state data, and preferentially transmits required data when communication is normal. The efficiency and the precision of power grid Ka high-flux satellite network communication fault judgment are improved, and the method is high in accuracy, high in speed and good in real-time performance.
Compared with the prior art, the software architecture based on the management platform and the Ka high-throughput satellite integrated portable station predict influence factors in real time through an analysis model of historical meteorological data and position data on network state information, can realize efficient transmission of network data, improve the utilization efficiency of channel resources, realize centralized management and control, realize pre-prediction and data transmission strategy coping on communication network faults and signal attenuation conditions, avoid important network data loss, and avoid resource waste caused by a large amount of communication data, so the invention has wider applicability.
The present invention is not limited to the above-described embodiments, and various modifications and variations of the present invention are included in the scope of the claims and the equivalent technology of the present invention if they do not depart from the spirit and scope of the present invention.
Claims (10)
1. A power grid Ka high-flux satellite network communication fault judgment method comprises the following steps:
acquiring a communication state of the power equipment and a Ka high-flux satellite network management platform through a router in the intelligent portable antenna;
the method comprises the steps that position information of the electric power equipment is obtained through a Beidou position positioning module, and meteorological information of the position of the electric power equipment is obtained through meteorological data sensing equipment;
the management platform monitors that if the communication state has a fault, the router records network state information before and in the fault;
when the communication state fault is eliminated, reporting the network state information, the meteorological information and the position information to the management platform through the router;
and the management platform establishes a relation model influencing the communication network quality according to historical sample data of the meteorological information, the position information and the network state information, and judges whether the Ka high-flux satellite network communication has a fault in real time.
2. The method for determining the communication fault of the Ka high-flux satellite network of the power grid according to claim 1, wherein the method comprises the following steps: the intelligent portable antenna is connected with the plurality of electric power equipment through the router in the satellite network, reports the data acquired by the electric power equipment to the management platform, and performs data analysis and monitoring through the management platform.
3. The method for determining the communication fault of the Ka high-flux satellite network of the power grid according to claim 1, wherein the method comprises the following steps: the Beidou position positioning module is arranged in the intelligent portable antenna, acquires position information in real time and draws the position of equipment in real time by using a map; the weather information comprises rainfall intensity, rainfall passing distance, snowfall amount, snowfall passing distance and lightning quantity at the same moment.
4. The method for determining the communication fault of the Ka high-flux satellite network in the power grid according to claim 1, wherein the network state information comprises communication instructions, communication data and communication signal attenuation; when the communication state has a fault, the network state information shows that the communication instruction is lost, the communication data is lost and the communication signal is attenuated; the historical sample data is selected by analyzing weather information and position information related to the change of the network state information through the sample.
5. The method for determining the communication fault of the Ka high-throughput satellite network in the power grid according to claim 3, wherein the step of establishing a relation model influencing the quality of the communication network by the management platform according to historical sample data of meteorological information, position information and network state information and determining whether the Ka high-throughput satellite network communication has a fault in real time comprises the steps of: establishing a neural network model, wherein the number of layers of the neural network is K, the number of nodes from an input layer to an output layer is m0, m1, m2 and … … mK respectively, the dimensionality of an input vector is m0, the input vector comprises the rainfall intensity, the rainfall passing distance, the snowfall amount, the snowfall passing distance and the lightning number at the same moment, the dimensionality of an output vector is mK, the output vector is influenced or not, and the kth layer of the network outputs Y(k)Comprises the following steps:
net(k)＝W(k)Y(k-1)+b(k)
wherein, b(k)Is a bias vector of the k-th layer, w(k)Is a weight matrix of the k-th layer, Y(k-1)For the k-1 th layer output, f(k)Is the k-th layer activation function, W is the weight matrix, i is the intermediate parameter of the vector dimension, k is the number of layers, j is the intermediate parameter of the vector dimension, T represents the meaning of the vector transposition, mkIs the number of nodes of the k-th layer, Wi,j (k)Is the weight matrix factor of the ith input vector to the jth output vector of the kth layer,
Yj (k-1)is the j-th dimension of the output vector of layer k-1, bi (k)Is the i dimension, net, of the bias vector of the k layeri (k)The ith dimension, net, of the input to the k-th (hidden) layer neuron(k)Each element in the set of elements represents a weighted sum of the input layer vector and the bias vector;
obtaining node input values and node output values of each layer in the neural network model according to layer-by-layer calculation; and according to historical sample data and calculation results of meteorological information, position information and network state information, carrying out backward derivation layer by layer through a network updating algorithm of error back propagation, updating the weight of the neural network model until a trained neural network is obtained, and carrying out fault judgment on the communication state of the real-time Ka high-flux satellite network according to the trained neural network.
6. The method for determining the communication fault of the Ka high-flux satellite network of the power grid according to claim 1, wherein the method comprises the following steps: and the router reports the network state information, the meteorological information and the position information to the management platform, and the management platform counts network transmission signal attenuation under the influence of different meteorological information of each geographical position according to the network state information before and in the fault.
7. The method as claimed in claim 1, wherein when the management platform monitors that the communication state has a fault, the management platform queries a local weather forecast according to the location information, estimates the duration of the communication fault according to the influence degree of the weather forecast and historical weather information on the network state information, and updates the data transmission strategy.
8. A power grid Ka high-flux satellite network communication fault determination device comprises:
the device is used for acquiring the communication state of the power equipment and the Ka high-flux satellite network management platform through a router in the intelligent portable antenna;
the device is used for acquiring the position information of the electric power equipment through the Beidou position positioning module and acquiring the meteorological information of the position of the electric power equipment through the meteorological data sensing equipment;
means for the management platform monitoring if the communication state has a fault, recording network state information before and during the fault by the router;
means for reporting the network state information, weather information and location information to the management platform via the router after the communication state failure is eliminated;
and the device is used for establishing a relation model influencing the communication network quality by the management platform according to historical sample data of the meteorological information, the position information and the network state information, and judging whether the Ka high-flux satellite network communication has faults or not in real time.
9. A readable storage medium having a control program stored thereon, characterized in that: the control program is executed by a processor to realize the power grid Ka high-flux satellite network communication fault determination method according to any one of claims 1 to 7.
10. A computer control system comprising a memory, a processor, and a control program stored in said memory and executable by said processor, characterized in that: the processor executes the control program to realize the power grid Ka high-throughput satellite network communication fault determination method according to any one of claims 1 to 7.
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