CN112612617B - Satellite telemetry data processing method and system and constellation state monitoring platform - Google Patents
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Abstract
The invention provides a satellite telemetry data processing method, a system and a constellation state monitoring platform. The method comprises the following steps: the main computing node receives satellite telemetry data through an antenna; the main computing node distributes the received satellite telemetry data to a plurality of sub-computing nodes for computing, and when the sub-computing nodes compute, the telemetry data are stored in a memory and then compute in a prediction model to obtain a prediction result of the telemetry data; the sub-computing node returns the prediction result to the main computing node. The method adopts distributed calculation, greatly shortens the prediction time, improves the execution efficiency, and can meet the large-scale constellation measurement and control requirements.
Description
Technical Field
The invention relates to the field of satellite telemetry data, in particular to a satellite telemetry data processing method, a system and a constellation state monitoring platform.
Background
With the vigorous development of science and technology, everything interconnection gradually becomes the basic requirement of human society, and for increasingly complex global, the traditional single star or small constellation is difficult to meet the current social demands. Compared with the traditional satellite system, the giant star satellite constellation has the characteristics of large satellite quantity, extremely wide coverage, large data increment, complex structure and function and high real-time requirement. For example, the Starlink constellation of the SpaceX company is planned to transmit about 42000 satellites, the traditional measurement and control means cannot support the large satellite scale, and intelligent measurement and control on the satellites by means of a computer is the core of future measurement and control technology development.
Because of the rapid increase of the number of satellites, tens of satellites can access the same ground station in the future, each satellite can send a large amount of measurement and control data in a short time, because the low-orbit satellite has a high running speed and short time for accessing the ground station, and a large amount of calculation resources are consumed for identifying the measurement and control information in an artificial intelligence mode, the traditional calculation cannot be adequate for the tasks with large calculation amount and high real-time requirement.
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 system and a constellation state monitoring platform.
In order to achieve the above object of the present invention, the present invention provides a satellite telemetry data processing method comprising the steps of:
the main computing node receives satellite telemetry data through an antenna;
the main computing node distributes the received satellite telemetry data to a plurality of sub-computing nodes for computing, and when the sub-computing nodes compute, the telemetry data are stored in a memory and then compute in a prediction model to obtain a prediction result of the telemetry data;
the sub-computing node returns the prediction result to the main computing node.
The method adopts distributed calculation, greatly shortens the prediction time, improves the execution efficiency, and can meet the large-scale constellation measurement and control requirements.
The satellite telemetry data processing method comprises the following preferable scheme: if the predicted result is reliable, the sub-computing node gives a remote control strategy according to the predicted result, and transmits the predicted result and the remote control strategy to the main computing node; if the predicted result is not credible, the sub-computing node submits the measurement and control data to measurement and control personnel for manual prediction, gives a remote control strategy according to the manual predicted result, then transmits the obtained evaluation result and the remote control strategy to the main computing node, and the main computing node gathers the received predicted result and the remote control strategy and then sends the collected predicted result and the remote control strategy to the target star.
The satellite telemetry data processing method comprises the following preferable scheme: the data to be predicted is called to a prediction model to be predicted, a prediction result and reliability are obtained, and reliability scoring is carried out;
the prediction result with the reliability higher than the set score line is considered as a reliable prediction result, a remote control strategy is formulated according to the prediction result, and finally the prediction result is returned to the master node and is returned to the target star;
and the prediction result with the reliability lower than the set score line is considered as a low reliability result, the sub-calculation node sends telemetry data corresponding to the low reliability result to a worker in the measurement and control center, the worker performs manual prediction and marks, after the marking is finished, the prediction result is returned to the main node and is returned to the target star, and the telemetry data is stored in the training set. The accuracy of the prediction result is improved.
The satellite telemetry data processing method comprises the following preferable scheme: the time length used for receiving the telemetry data and the time length used for processing the data are both longer than the time length used for transmitting the data back to the main node. The time occupied by the data receiving, calculating and returning is distributed more reasonably, the telemetry data can be received, calculated and returned better, and the integrity, accuracy and timeliness of the data in the receiving, processing and returning processes are ensured 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 node, wherein executable instructions are stored in the memories of the main computing node and the sub computing nodes respectively, and the executable instructions stored in the memories of the main computing node and the sub computing nodes respectively enable the main computing node and the sub computing nodes to execute the operations corresponding to 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 telemetry data processing system, wherein the display screen and the operation interface are respectively connected with the satellite telemetry 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 foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
fig. 1 is a schematic diagram of a satellite telemetry data processing method.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
In the description of the present invention, unless otherwise specified and defined, it should be noted that the terms "mounted," "connected," and "coupled" are to be construed broadly, and may be, for example, mechanical or electrical, or may be in communication with each other between two elements, directly or indirectly through intermediaries, as would be understood by those skilled in the art, in view of the specific meaning of the terms described above.
As shown in fig. 1, the present invention provides a satellite telemetry data processing method, comprising the steps of:
the primary compute node receives satellite telemetry data via an antenna.
The main computing node distributes the received satellite telemetry data to a plurality of sub-computing nodes for computing, and when the sub-computing nodes compute, the telemetry data are stored in a memory, and then a prediction result of the telemetry data is obtained through computing in a prediction model.
The sub-computing node returns the prediction result to the main computing node.
If the prediction result is reliable, when the prediction result indicates that the target star 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 predicted result is not credible, the sub-computing node submits the measurement and control data to measurement and control personnel for manual prediction, gives a remote control strategy according to the manual predicted result, then transmits the obtained evaluation result and the remote control strategy to the main computing node, and the main computing node gathers the received predicted result and the remote control strategy and then sends the collected predicted result and the remote control strategy to the target star.
When a group of data of a certain load has an abnormal state, the ground is needed to intervene, the child node searches whether a remote control strategy coupled with the abnormal state exists in the database, if yes, the remote control strategy is directly sent to the main computing node, and if no, the child computing node sends telemetry data to a worker of a measurement and control center to manually give the remote control strategy.
Specifically, in this embodiment, the main computing node receives telemetry data transmitted from each satellite through an antenna, stores the obtained data in a dynamic array in the form of a character string, and distributes computing tasks in the array to a plurality of sub-computing nodes according to a fixed period. Considering the computing capability and the timeliness of the information, the GPU of the sub-computing node at least needs RTX2070 to ensure matching with the transmission efficiency, otherwise, the time for receiving data is lower than the time for processing the data, and the situation that the last computing result is not completely submitted when the next task is distributed can occur.
The number of the sub-computation nodes is designed according to the scale of the current constellation
Wherein (1)>
In order to take the meaning of an upward integer, K is the number of simultaneous maximum connection satellites of the gateway station, the actual connection scene of the gateway station can be simulated through STK simulation, the number of simultaneous maximum connection satellites of the gateway station is obtained, and n isThe calculation amount of the sub-calculation nodes, namely the sub-calculation nodes can calculate the telemetry data of n satellites at the same time.
Taking the calculation amount of processing 4 satellites according to one computer as an example, it is tested that at most 26 satellites are connected with a gateway station in a certain time period, and at least 7 computers are needed for calculation. The satellite gradually expands the scale of the computing nodes along with the increase of the scale of the constellation.
In this embodiment, when the sub-computing node calculates, 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 predict in sequence, and the obtained prediction result is converted into a new RDD, namely, a prediction result. In this embodiment, a Spark computing engine is preferably, but not limited to, employed.
The training set of the prediction model is telemetry data obtained through manual marking in the past, each layer of the neural network is constructed by adopting Pytorch, and the telemetry data is transmitted into the neural network for multiple iterations so as to optimize the neural network, and the prediction model is obtained.
And calling a prediction model for prediction to obtain a prediction result and reliability, and performing reliability scoring, wherein the reliability result is automatically generated by the prediction model according to the fitting degree.
And (3) recognizing the prediction result with the reliability higher than the set score line as a reliable prediction result, formulating a remote control strategy according to the prediction result, and finally returning to the master node and returning to the target star.
And the prediction result with the reliability lower than the set score line is considered as a low reliability result, the sub-calculation node sends telemetry data corresponding to the low reliability result to a worker in the measurement and control center, the worker performs manual prediction and marks, after the marking is finished, the prediction result is returned to the main node and is returned to the target star, and the telemetry data is stored in the training set.
For example, the reliability of the prediction result is divided into 1-10 points, if the reliability 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 finally the remote control strategy is returned to the main computing node and is returned to the target star. In this embodiment, a remote control strategy is given by adopting an existing method according to the prediction result. If the reliability is lower than 8 minutes, the reliability of the predicted result is lower, manual intervention is needed, the telemetry data is sent to a worker of a measurement and control center, the worker evaluates and marks, after marking, the evaluated result is returned to a main node and is returned to a target star, and meanwhile, the data is stored in a specified database, such as a telemetry database, which is used for storing a data set with lower reliability of the predicted result and is added into a training set for use in future prediction model iteration.
The time of data buffering can be determined according to the time of satellite access to the ground station, and generally follows that the time length used for receiving telemetry data and the time length used for data processing are both longer than the time length used for the main node to transmit back the data. In this embodiment, the access time may be divided into a ratio of approximately 2:2:1, i.e., a time of 5 minutes of 2 is used for receiving telemetry data, a time of 5 minutes of 2 is used for processing data, and a time of 5 minutes of 1 is used for transmitting back data, considering that the telemetry data amount is large, the receiving and processing are relatively time-consuming, and the amount of returned telemetry data is generally small, and the required time is relatively short. For the time division, which is a relatively flexible time period, after the receiving time has been used for 2 minutes, the receiving is stopped after the current message is completely received, for the data processing time, all computing nodes do not always have the same time to complete the computation, when one computing node completes the computation, the computing node can be returned to the master node, and the master node immediately transmits the remote control data to the target star.
If the data processing has overtime calculation, when the target star flies away from the connection range when the calculation result of the calculation node is obtained, if the target star does not need ground intervention, the information is directly kept and backed up; if the ground intervention is needed, the telemetry information is packaged and transmitted to the currently accessible satellite, and then transmitted to the target satellite through an inter-satellite link.
The application also provides an embodiment of the 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 operations corresponding to the satellite telemetry data processing method respectively. The system also comprises a measurement and control center, and the main computing node and the sub computing nodes are both in communication connection with the measurement and control center.
The application also provides an embodiment of a 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 verifies the identity of the user.
In the embodiment, the monitoring platform is realized in a Web mode, so that workers can quickly access on the intranet computer with the need to check the state of the constellation. 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 type of abnormality and the solution which detect the abnormality in the past on the display screen so that staff can know the abnormality in the past. The administrator registers the user through the user management unit, modifies the user authority, and deletes the user and other operations. The authority of the user can give the authority of the user to view the whole state of the constellation, the authority of constellation measurement and control data and the like according to the secret-related level of the operation user. Meanwhile, a permission expansion interface is reserved, so that permission expansion and reservation after new functions are added in the future are facilitated.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means 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 present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. 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 present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
Claims (8)
1. A method of satellite telemetry data processing comprising the steps of:
the main computing node receives satellite telemetry data through an antenna;
the main computing node distributes the received satellite telemetry data to a plurality of sub-computing nodes for computing, and when the sub-computing nodes compute, the telemetry data are stored in a memory and then compute in a prediction model to obtain a prediction result of the telemetry data;
specifically, the data to be predicted is called to a prediction model to be predicted, a prediction result and reliability are obtained, and reliability scoring is carried out;
the prediction result with the reliability higher than the set score line is considered as a reliable prediction result, the sub-computing nodes give out a remote control strategy according to the prediction result, and the prediction result and the remote control strategy are transmitted to the main computing node and are transmitted back to the target star; and the prediction result with the reliability lower than the set score line is regarded as a low reliability result, the sub-calculation node submits telemetry data corresponding to the low reliability result to measurement and control personnel for manual prediction, a remote control strategy is given according to the manual prediction result, the obtained evaluation result and the remote control strategy are transmitted to the main calculation node, and the main calculation node gathers the received prediction result and the remote control strategy and then transmits the result to the target star.
2. The satellite telemetry data processing method of claim 1 wherein the number of sub-compute nodes
Wherein K is the number of the gateway stations and the maximum connection satellites, and n is the calculated amount of the sub-calculation nodes.
3. The satellite telemetry data processing method of claim 1 wherein the training set of the predictive model is telemetry data obtained in the past by manual tagging, each layer of the neural network is constructed using Pytorch, and the telemetry data is transmitted into the neural network for multiple iterations to optimize the neural network to obtain the predictive model.
4. The method of claim 1, wherein the time period for receiving telemetry data and the time period for processing data are both greater than the time period for transmitting back data from the master node.
5. The method according to claim 1 or 4, wherein there is a timeout calculation for data processing, and when the target star has flown away from the connection range when the calculation result of the calculation node is obtained, if the target star does not need ground intervention, the information is directly kept back up; if the ground intervention is needed, the telemetry information is packaged and transmitted to the currently accessible satellite, and then transmitted to the target satellite through an inter-satellite link.
6. A satellite telemetry data processing system comprising a main computing node and a plurality of sub-computing nodes in communication with the main node, the main computing node and the sub-computing nodes each having stored therein executable instructions, the executable instructions stored in the main computing node and the sub-computing nodes each having stored therein causing the main computing node and the sub-computing nodes to perform operations corresponding to the satellite telemetry data processing method of any one of claims 1-5, respectively.
7. The satellite telemetry data processing system of claim 6 further comprising a measurement and control center, wherein the main computing node and the sub-computing nodes are both communicatively coupled to the measurement and control center.
8. A constellation state monitoring platform comprising a display screen, an operation interface and the satellite telemetry data processing system according to claim 6 or 7, wherein the display screen and the operation interface are respectively connected with the satellite telemetry data processing system.
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