CN112612617A - Satellite telemetry data processing method and system and constellation state monitoring platform - Google Patents

Satellite telemetry data processing method and system and constellation state monitoring platform Download PDF

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CN112612617A
CN112612617A CN202011611366.4A CN202011611366A CN112612617A CN 112612617 A CN112612617 A CN 112612617A CN 202011611366 A CN202011611366 A CN 202011611366A CN 112612617 A CN112612617 A CN 112612617A
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严叶舟
雷继兆
赵航
张翔
汤东兴
徐照博
杨洋
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Abstract

The invention provides a satellite telemetry data processing method, a satellite telemetry data processing system and a constellation state monitoring platform. The method comprises the following steps: the main computing node receives satellite telemetering data through an antenna; the main computing node distributes the received satellite telemetering data to a plurality of sub-computing nodes for computing, and when the sub-computing nodes compute, the telemetering data are stored in a memory, and then the prediction result of the telemetering data is computed in a prediction model; and the sub-computing nodes return the prediction results to the main computing node. The method adopts distributed computation, greatly shortens the prediction time, improves the execution efficiency, and can meet the large-scale constellation measurement and control requirements.

Description

Satellite telemetry data processing method and system and constellation state monitoring platform
Technical Field
The invention relates to the field of satellite telemetering data, in particular to a satellite telemetering data processing method and system and a constellation state monitoring platform.
Background
With the rapid development of science and technology, the interconnection of everything gradually becomes the basic requirement of human society, and for the increasingly complex globality, the traditional single star or small constellation is difficult to meet the social demand of the present day. Compared with the traditional satellite system, the giant satellite constellation has the characteristics of large satellite quantity, wide coverage, large data increment, complex structure and function and high real-time requirement. For example, the Starlink constellation planned by the company SpaceX transmits about 42000 satellites, the traditional measurement and control means cannot support the huge satellite scale, and intelligent measurement and control of the satellites by means of a computer will be the core of development of future measurement and control technologies.
Due to the rapid increase of the number of satellites, dozens of satellites may visit the same ground station in the future, each satellite sends a large amount of measurement and control data in a short time, and due to the fact that the low-orbit satellites are high in operation speed and short in ground station visiting time, the measurement and control information is identified in an artificial intelligence mode, a large amount of computing resources are consumed, and the traditional computing cannot be competent for the tasks with large computing amount and high real-time requirements.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to provide a satellite telemetry data processing method, a satellite telemetry data processing system and a constellation state monitoring platform.
In order to achieve the above object, the present invention provides a method for processing satellite telemetry data, comprising the steps of:
the main computing node receives satellite telemetering data through an antenna;
the main computing node distributes the received satellite telemetering data to a plurality of sub-computing nodes for computing, and when the sub-computing nodes compute, the telemetering data are stored in a memory, and then the prediction result of the telemetering data is computed in a prediction model;
and the sub-computing nodes return the prediction results to the main computing node.
The method adopts distributed computation, greatly shortens the prediction time, improves the execution efficiency, and can meet the large-scale constellation measurement and control requirements.
The preferable scheme of the satellite telemetry data processing method comprises the following steps: if the prediction result is credible, the sub-computing node gives a remote control strategy according to the prediction result, and transmits the prediction result and the remote control strategy to the main computing node; if the prediction result is not credible, the sub-computing nodes submit the measurement and control data to measurement and control personnel for manual prediction, a remote control strategy is given according to the manual prediction result, then the obtained evaluation result and the remote control strategy are transmitted to the main computing node, and the main computing node summarizes the received prediction result and the remote control strategy and then transmits the result to the target star.
The preferable scheme of the satellite telemetry data processing method comprises the following steps: calling a prediction model for predicting data to be predicted to obtain a prediction result and credibility, and scoring the credibility;
the prediction result with the credibility higher than the set score line is regarded as a reliable prediction result, a remote control strategy is formulated according to the prediction result, and the remote control strategy is finally returned to the main node and returned to the target satellite;
and (3) identifying the prediction result with the reliability lower than the set score line as a low-reliability result, sending the telemetering data corresponding to the low-reliability result to a measurement and control center worker by the sub-computing node, manually predicting and marking by the worker, returning the prediction result to the main node and returning the prediction result to the target satellite after marking is completed, and storing the telemetering data in a training set. The accuracy of the prediction result is improved.
The preferable scheme of the satellite telemetry data processing method comprises the following steps: the time length for receiving the telemetering data and the time length for processing the data are both longer than the time length for transmitting the data back by the main node. The time occupied by the data receiving, calculating and returning is more reasonably distributed, the telemetering data can be better received, calculated and returned, and the integrity, the accuracy and the timeliness of the data in the processes of receiving, processing and returning are guaranteed as much as possible.
The invention also provides a satellite telemetry data processing system, which comprises a main computing node and a plurality of sub-computing nodes communicated with the main computing node, wherein executable instructions are stored in memories of the main computing node and the sub-computing nodes, and the executable instructions stored in the memories of the main computing node and the sub-computing nodes enable the main computing node and the sub-computing nodes to execute the corresponding operations of the satellite telemetry data processing method.
The invention also provides a constellation state monitoring platform which comprises a display screen, an operation interface and the satellite telemetering data processing system, wherein the display screen and the operation interface are respectively connected with the satellite telemetering data processing system. The working personnel can directly know the operation condition of the satellite.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic diagram of a satellite telemetry data processing method.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, unless otherwise specified and limited, it is to be noted that the terms "mounted," "connected," and "connected" are to be interpreted broadly, and may be, for example, a mechanical connection or an electrical connection, a communication between two elements, a direct connection, or an indirect connection via an intermediate medium, and specific meanings of the terms may be understood by those skilled in the art according to specific situations.
As shown in fig. 1, the present invention provides a method for processing satellite telemetry data, comprising the following steps:
the master computing node receives satellite telemetry data via an antenna.
And the main computing node distributes the received satellite telemetering data to a plurality of sub-computing nodes for computing, and when the sub-computing nodes compute, the telemetering data is stored in a memory, and then the prediction result of the telemetering data is computed in a prediction model.
And the sub-computing nodes return the prediction results to the main computing node.
If the prediction result is credible and the prediction result indicates that the target satellite needs ground intervention, the sub-computing node gives a remote control strategy according to the prediction result and transmits the prediction result and the remote control strategy to the main computing node; if the prediction result is not credible, the sub-computing nodes submit the measurement and control data to measurement and control personnel for manual prediction, a remote control strategy is given according to the manual prediction result, then the obtained evaluation result and the remote control strategy are transmitted to the main computing node, and the main computing node summarizes the received prediction result and the remote control strategy and then transmits the result to the target star.
Usually, when a group of data of a certain load has an abnormal state, ground intervention is needed, the child nodes search whether a remote control strategy coupled with the abnormal state exists in the database, if so, the remote control strategy is directly sent to the main computing node, and if not, the child computing nodes send the remote measurement data to a measurement and control center worker to manually give the remote control strategy.
Specifically, in this embodiment, the main computing node receives telemetry data transmitted from each satellite through the antenna, stores the obtained data in a dynamic array in the form of a character string, and distributes computing tasks in the array to the plurality of sub-computing nodes according to a fixed period. Considering the computing power and the timeliness of information, the GPU of the sub-computing node can ensure matching with the transmission efficiency only by at least requiring the RTX2070, otherwise, the data receiving time is lower than the data processing time, and the last computing result is not completely submitted when the next task is distributed.
The setting of the number of the sub-computing nodes needs to be designed according to the scale of the current constellation
Figure BDA0002874665670000051
Wherein,
Figure BDA0002874665670000052
in order to take the meaning of an integer upwards, K is the maximum satellite number of the gateway station connected simultaneously, the actual connection scene of the gateway station can be simulated through STK simulation, the maximum satellite number of the gateway station connected simultaneously is obtained, n is the calculation amount of the sub-calculation nodes, namely the sub-calculation nodes can calculate the telemetering data of n satellites simultaneously.
Taking the calculation amount of processing 4 satellites by one computer as an example, it is tested that at most 26 satellites are connected to a gateway station in a certain time period, and at least 7 computers are needed for calculation. And (4) gradually expanding the scale of the calculation node along with the increase of the constellation scale of the satellite.
In this embodiment, when the sub-computation node performs computation, measurement and control information obtained in a time period is directly converted into an RDD, all elements in the RDD are traversed, a prediction model is called to perform prediction in sequence, and an obtained prediction result is converted into a new RDD, that is, a prediction result. In this embodiment, a Spark calculation engine is preferably used.
The training set of the prediction model is telemetering data obtained through manual marking in the past, each layer of the neural network is constructed by adopting a Pythrch, and the telemetering data is transmitted into the neural network to be iterated for multiple times so as to optimize the neural network, so that the prediction model is obtained.
And calling the data to be predicted by the prediction model to predict to obtain a prediction result and credibility, and scoring the credibility, wherein the credibility result is automatically generated by the prediction model according to the fitting degree.
And (4) determining the prediction result with the credibility higher than the set score line as a reliable prediction result, formulating a remote control strategy according to the prediction result, and finally returning the remote control strategy to the main node and the target satellite.
And (3) identifying the prediction result with the reliability lower than the set score line as a low-reliability result, sending the telemetering data corresponding to the low-reliability result to a measurement and control center worker by the sub-computing node, manually predicting and marking by the worker, returning the prediction result to the main node and returning the prediction result to the target satellite after marking is completed, and storing the telemetering data in a training set.
For example, the credibility of the prediction result is divided into 1-10 points, if the credibility of the prediction result is greater than 8 points of the score line, the prediction result is determined to be reliable, a remote control strategy can be formulated according to the prediction result, and the remote control strategy is finally returned to the main computing node and returned to the target satellite. In this embodiment, a remote control strategy is given by using the existing method according to the prediction result. And if the reliability is lower than 8 points, determining that the reliability of the prediction result is low, requiring manual intervention, sending the telemetering data to a staff of the measurement and control center, evaluating and marking by the staff, returning the evaluation result to the main node and returning the evaluation result to the target star after marking is finished, and storing the data into a specified database, such as a telemetering database, wherein the database is used for storing a data set with low reliability of the prediction result and adding the data set into a training set for use in future prediction model iteration.
The time for data caching can be determined according to the time for accessing the satellite to the ground station, and generally, the time for receiving telemetering data and the time for processing data are both longer than the time for transmitting data back by the main node. In this embodiment, the access time may be divided by a ratio of 2:2:1, that is, 2: 5 minutes of time is used for receiving telemetry data, 2: 5 minutes of time is used for processing data, and 1: 5 minutes of time is used for returning data, considering that the telemetry data amount is large and the receiving and processing are relatively time-consuming, and the return remote control data amount is generally small and the time required is relatively short. The time division is a relatively flexible time period, after the receiving time is used for 2/5, the receiving is stopped after the current message is completely received, the processing time of the data is not completely the same when each computing node completes the computation, when one computing node completes the computation, the computing node can be returned to the main node, and the main node immediately transmits the remote control data to the target star.
If the data processing has overtime calculation, when the target satellite flies out of the connection range when the calculation result of the calculation node is obtained, if the target satellite does not need ground intervention, the information is directly reserved and backed up; if ground intervention is needed, the telemetering information is packaged and transmitted to the satellite which can be accessed at present, and then transmitted to the target satellite through the inter-satellite link.
The application also provides an embodiment of a satellite telemetry data processing system, which comprises a main computing node and a plurality of sub-computing nodes communicated with the main node, wherein executable instructions are stored in respective memories of the main computing node and the sub-computing nodes, and the executable instructions stored in the respective memories of the main computing node and the sub-computing nodes enable the main computing node and the sub-computing nodes to execute the corresponding operations of the satellite telemetry data processing method. The system also comprises a measurement and control center, wherein the main computing node and the sub computing nodes are in communication connection with the measurement and control center.
The application also provides an embodiment of the constellation state monitoring platform, which comprises a display screen, an operation interface and the satellite telemetry data processing system, wherein the display screen and the operation interface are respectively connected with the satellite telemetry data processing system. The platform also comprises a user management unit which registers and authenticates the user.
In this embodiment, the monitoring platform is implemented in a Web manner, so that a worker can conveniently and quickly access the intranet computer as needed to check the constellation state. The satellite telemetry data processing system acquires telemetry information of each satellite in the current constellation, draws and displays the telemetry information on a display screen in a form of a table, and displays the satellite, the abnormal type and the solution of the past abnormal detection on the display screen so that a worker can know the past abnormal condition conveniently. The administrator performs operations of registering users, modifying user permissions, deleting users and the like through the user management unit. The authority of the user can give the user the authority of checking the integral state of the constellation, the authority of constellation measurement and control data and the like according to the classified level of the operation user. Meanwhile, an authority extension interface is reserved, so that the authority can be conveniently extended and reserved after new functions are added in the future.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims (10)

1. A method for processing satellite telemetry data, comprising the steps of:
the main computing node receives satellite telemetering data through an antenna;
the main computing node distributes the received satellite telemetering data to a plurality of sub-computing nodes for computing, and when the sub-computing nodes compute, the telemetering data are stored in a memory, and then the prediction result of the telemetering data is computed in a prediction model;
and the sub-computing nodes return the prediction results to the main computing node.
2. The satellite telemetry data processing method of claim 1, wherein if the predicted result is authentic, the child computing node gives a remote control strategy according to the predicted result and transmits the predicted result and the remote control strategy to the master computing node; if the prediction result is not credible, the sub-computing nodes submit the measurement and control data to measurement and control personnel for manual prediction, a remote control strategy is given according to the manual prediction result, then the obtained evaluation result and the remote control strategy are transmitted to the main computing node, and the main computing node summarizes the received prediction result and the remote control strategy and then transmits the result to the target star.
3. The satellite telemetry data processing method of claim 1, wherein the number of child compute nodes
Figure FDA0002874665660000011
Wherein K is the maximum number of the simultaneously connected satellites of the gateway station, and n is the calculated amount of the sub-calculation nodes.
4. The satellite telemetry data processing method of claim 1, wherein the training set of the predictive model is telemetry data obtained through artificial labeling in the past, each layer of the neural network is constructed by using a Pythrch, and the telemetry data is transmitted into the neural network to be iterated for a plurality of times so as to optimize the neural network, so that the predictive model is obtained.
5. The satellite telemetry data processing method according to claim 1 or 2, characterized in that the data to be predicted is predicted by calling a prediction model to obtain a prediction result and credibility, and the credibility is scored;
the prediction result with the credibility higher than the set score line is regarded as a reliable prediction result, a remote control strategy is formulated according to the prediction result, and the remote control strategy is finally returned to the main node and returned to the target satellite;
and (3) identifying the prediction result with the reliability lower than the set score line as a low-reliability result, sending the telemetering data corresponding to the low-reliability result to a measurement and control center worker by the sub-computing node, manually predicting and marking by the worker, returning the prediction result to the main node and returning the prediction result to the target satellite after marking is completed, and storing the telemetering data in a training set.
6. The satellite telemetry data processing method of claim 1, wherein the length of time for receiving the telemetry data and the length of time for processing the data are both greater than the length of time for the data returned by the master node.
7. The satellite telemetry data processing method according to claim 1 or 6, characterized in that if there is timeout calculation in data processing, when the target satellite has flown out of the connection range when the calculation result of the calculation node is obtained, if the target satellite does not need ground intervention, information is directly kept for backup; if ground intervention is needed, the telemetering information is packaged and transmitted to the satellite which can be accessed at present, and then transmitted to the target satellite through the inter-satellite link.
8. A satellite telemetry data processing system comprising a main computing node and a plurality of sub-computing nodes in communication with the main computing node, each of the main computing node and the sub-computing nodes having stored therein executable instructions that cause the main computing node and the sub-computing nodes, respectively, to perform operations corresponding to the satellite telemetry data processing method of any of claims 1-6.
9. The satellite telemetry data processing system of claim 8, further comprising a measurement and control center, wherein the main computing node and the sub-computing nodes are communicatively coupled to the measurement and control center.
10. A constellation status monitoring platform, comprising a display screen, an operation interface and the satellite telemetry data processing system according to claim 8 or 9, wherein the display screen and the operation interface are respectively connected with the satellite telemetry data processing system.
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