Satellite power supply and distribution health message generation method and system
By collecting telemetry information, configuring weights and fusion evaluation on satellites, generating health messages, the problem of relying on ground stations for health monitoring of satellite power supply and distribution subsystems is solved, independent health monitoring and evaluation is realized, and the level of intelligence is improved. Communication efficiency.
Patent Information
- Application Number
- CN202411379920.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-30
- Publication Date
- 2025-02-14
AI Technical Summary
In the prior art, the health monitoring and evaluation of satellite power supply and distribution subsystems rely on the analysis of telemetry data by ground stations, and there is a difficulty in obtaining status information in real time and the risk of misjudgment.
By collecting satellite telemetry information, configuring weights, and fusing weights to evaluate health status, and generating and sending health messages, autonomous health monitoring and evaluation are achieved.
It realizes independent health monitoring and evaluation of satellite power supply and distribution subsystems, improves intelligence level, saves telemetry data transmission resources, improves communication efficiency, and improves the accuracy and reliability of health assessments.
Smart Images

Figure CN119449135A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of satellite health status, and in particular to a method and system for generating a satellite power supply and distribution health message. Background Art
[0002] The satellite power supply and distribution subsystem is an important part of the satellite. It is responsible for the satellite's power conversion, storage, distribution and control to ensure the normal operation of the satellite. The health status of the satellite power supply and distribution subsystem directly affects the reliability and life of the satellite. Therefore, the health monitoring and evaluation of the satellite power supply and distribution subsystem is an important part of the satellite's in-orbit operation management.
[0003] At present, the health monitoring and evaluation of satellite power supply and distribution subsystems mainly rely on the analysis and judgment of satellite telemetry data by ground stations. This method has the following shortcomings: First, the transmission of telemetry data is limited by the satellite orbit and the coverage of the ground station, and the status information of the satellite power supply and distribution subsystem cannot be obtained in real time; second, due to the limitation of telemetry channels, it is difficult for the ground to obtain all telemetry information, which leads to misjudgment and adverse effects.
[0004] Therefore, how to realize autonomous health monitoring and evaluation of satellite power supply and distribution subsystems and improve the intelligence level of satellite power supply and distribution subsystems is an urgent need for the current development of satellite technology. Summary of the invention
[0005] In view of the defects in the prior art, the object of the present invention is to provide a method and system for generating satellite power supply and distribution health messages.
[0006] A method for generating a satellite power supply and distribution health message according to the present invention includes:
[0007] Step S1: Collecting satellite telemetry information;
[0008] Step S2: configuring different weights according to the satellite telemetry information;
[0009] Step S3: Fusing different weights to obtain the health status assessment result;
[0010] Step S4: Generate and send a corresponding health message based on the evaluation result.
[0011] Preferably, step S2 includes the following sub-steps:
[0012] Step S2.1: assign importance weights to various telemetry items according to the importance of the telemetry items of the satellite power supply and distribution subsystem to the satellite health status and the impact of abnormal telemetry items on the satellite;
[0013] Step S2.2: Based on the mutual coupling relationship of the telemetry of the satellite power supply and distribution subsystem, for multiple telemetry that are interrelated, the weights of the simultaneous abnormalities are increased.
[0014] Preferably, step S3 includes the following sub-steps:
[0015] Step S3.1: adopting data fusion method to fuse the weights of various abnormal telemetry into the health score of the satellite power supply and distribution subsystem;
[0016] Step S3.2: Determine the health status of the satellite power supply and distribution subsystem based on the health score.
[0017] Preferably, the step S2.1 comprises:
[0018] The telemetry information is divided into key telemetry information and non-key telemetry information, and the weight of the key telemetry information is greater than the weight of the non-key telemetry information;
[0019] If the telemetry exceeds the preset range, it is determined that the telemetry is abnormal;
[0020] The telemetry abnormality includes the failure of a single machine causing the telemetry abnormality and the failure of the single machine but the telemetry itself causing the abnormality.
[0021] Preferably, the data fusion method includes adopting an accumulation algorithm to add the weights of the abnormalities generated by the telemetry in step S2.1 to obtain a health score; the health status includes good, general and faulty.
[0022] Preferably, step S4 includes generating a corresponding health message based on the health status evaluation of the satellite power supply and distribution subsystem, and generating short message content based on the health status; wherein good is set to 00B, normal is set to 01B, and fault is set to 11B, and the message is transmitted down through the satellite's short message link, so that the ground can obtain the health status of the satellite power supply and distribution subsystem according to the short message decoding method.
[0023] A satellite power supply and distribution health message generation system provided by the present invention includes:
[0024] Module M1: collects satellite telemetry information;
[0025] Module M2: configure different weights according to the satellite telemetry information;
[0026] Module M3: Fusion of different weights to obtain health status assessment results;
[0027] Module M4: Generate and send corresponding health messages based on the evaluation results.
[0028] Preferably, the module M2 includes the following submodules:
[0029] Module M2.1: Assign importance weights to each telemetry item based on the importance of each telemetry item of the satellite power supply and distribution subsystem to the satellite health status and the impact of telemetry anomalies on the satellite;
[0030] Module M2.2: Based on the mutual coupling relationship of the telemetry of the satellite power supply and distribution subsystem, the weight of multiple telemetry that are interrelated when anomalies occur at the same time is increased.
[0031] Preferably, the module M3 includes the following submodules:
[0032] Module M3.1: Adopt data fusion method to fuse the weights of various abnormal telemetry into the health score of satellite power supply and distribution subsystem;
[0033] Module M3.2: Determine the health status of the satellite power supply and distribution subsystem based on the health score.
[0034] Preferably, the module M2.1 comprises:
[0035] The telemetry information is divided into key telemetry information and non-key telemetry information, and the weight of the key telemetry information is greater than the weight of the non-key telemetry information;
[0036] If the telemetry exceeds the preset range, it is determined that the telemetry is abnormal;
[0037] The telemetry abnormality includes the failure of a single machine causing the telemetry abnormality and the failure of the single machine but the telemetry itself causing the abnormality.
[0038] Preferably, the data fusion method includes adopting an accumulation algorithm to add the weights of the abnormalities generated by the telemetry in module M2.1 to obtain a health score; the health status includes good, general and faulty.
[0039] Preferably, the module M4 includes generating a corresponding health message by evaluating the health status of the satellite power supply and distribution subsystem, and generating short message content based on the health status; wherein good is set to 00B, normal is set to 01B, and fault is set to 11B, and is transmitted down through the satellite's short message link, so that the ground can obtain the health status of the satellite power supply and distribution subsystem according to the short message decoding method.
[0040] Compared with the prior art, the present invention has the following beneficial effects:
[0041] 1. The present invention can realize autonomous health monitoring and evaluation of the satellite power supply and distribution subsystem without relying on the telemetry data analysis and judgment of the ground station. The health status of the satellite power supply and distribution subsystem can be obtained on the satellite, thereby improving the intelligence level of the satellite power supply and distribution subsystem.
[0042] 2. The present invention can utilize short messages to effectively reflect the health status of the satellite power supply and distribution subsystem, thereby saving transmission resources for telemetry data and improving the communication efficiency of the satellite.
[0043] 3. The present invention can comprehensively evaluate the health status of the satellite power supply and distribution subsystem based on the importance and coupling relationship of all telemetry of the satellite power supply and distribution subsystem, thereby improving the accuracy and reliability of the health assessment of the satellite power supply and distribution subsystem.
[0044] 4. The present invention can continuously utilize the on-board power supply and distribution telemetry information to evaluate the health status of the power supply and distribution subsystem. It can still detect abnormal telemetry that temporarily changes when the satellite is outside the coverage of the ground station and act on the satellite's power supply and distribution health status. When the satellite enters the coverage of the ground station, the ground can obtain abnormal information in a timely manner.
[0045] Other beneficial effects of the present invention will be explained in the specific implementation manner through the introduction of specific technical features and technical solutions. Through the introduction of these technical features and technical solutions, those skilled in the art should be able to understand the beneficial technical effects brought about by the technical features and technical solutions. BRIEF DESCRIPTION OF THE DRAWINGS
[0046] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:
[0047] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION
[0048] The present invention is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those of ordinary skill in the art, several changes and improvements can also be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.
[0049] Reference Figure 1 As shown, a method for generating a satellite power supply and distribution health message includes the following steps:
[0050] Step S1: According to the importance of each telemetry of the satellite power supply and distribution subsystem to the satellite health status and the impact of abnormal telemetry on the satellite, the importance weight is assigned to each telemetry. During the satellite design process, a normal value range has been designed for each telemetry. When the telemetry exceeds the preset normal value range, it is considered abnormal.
[0051] According to the function and structure of the satellite power supply and distribution subsystem, as well as the fault sensitivity, fault impact range and fault recovery difficulty of each telemetry, for key telemetry such as battery voltage, battery charging current, battery discharging current, solar array current, platform bus current, platform bus voltage and load bus current, when abnormalities occur in these key telemetry, it will greatly affect the healthy operation of the satellite and need to be given a large weight; for non-critical telemetry such as command count and master / standby status of the lower computer, this type of telemetry mainly reflects the command transmission status and has little impact on the healthy operation of the satellite, so it needs to be given a small weight.
[0052] Step S2: According to the mutual coupling relationship of the telemetry of the satellite power supply and distribution subsystem, for multiple telemetry that are interrelated, increase the weight when they are abnormal at the same time. Satellite telemetry abnormalities are divided into two situations: a single machine failure causes telemetry abnormalities, and a single machine does not fail but the telemetry itself is abnormal; for multiple telemetry that are related, once an abnormality occurs at the same time, it means that the corresponding single machine is likely to be faulty, so the corresponding weight is increased.
[0053] Step S3: adopt a data fusion method to fuse the weights of various abnormal telemetry into a health score of the satellite power supply and distribution subsystem; the so-called abnormal telemetry refers to the telemetry that exceeds the normal value range within the satellite power supply and distribution health message generation cycle.
[0054] Due to the limited computing power on the satellite, a simple accumulation algorithm is used to add the weights of the abnormal telemetry in step S1 to obtain the health score, and the health score is adjusted according to step S2 to obtain the final health score.
[0055] Step S4: Based on the health score of the satellite power supply and distribution subsystem obtained in step S3, the health score is divided into three types of health status assessment of the satellite power supply and distribution subsystem: "good", "normal", and "faulty" according to preset thresholds.
[0056] Step S5: Evaluate the health status of the satellite power supply and distribution subsystem to generate a corresponding health message, and transmit it in a short message format.
[0057] Based on the result of step S4, a short message content is generated, in which "good" is set to "00B", "normal" is set to "01B", and "fault" is set to "11B", and is transmitted down through the satellite's short message link. The ground obtains the health status of the satellite power supply and distribution subsystem based on the short message decoding method.
[0058] The present invention can realize autonomous health monitoring and evaluation of the satellite power supply and distribution subsystem without relying on the telemetry data analysis and judgment of the ground station. The health status of the satellite power supply and distribution subsystem can be obtained on the satellite, thereby improving the intelligence level of the satellite power supply and distribution subsystem; short messages can be used to effectively reflect the health status of the satellite power supply and distribution subsystem, thus saving the transmission resources of the telemetry data and improving the communication efficiency of the satellite.
[0059] The above is a basic embodiment of the present invention. The technical solution of the present invention is further described below through a preferred embodiment.
[0060] Example 1
[0061] Reference Figure 1 As shown, the satellite power supply and distribution health message generation method of the present invention includes the following steps:
[0062] Step S1: According to the importance of each telemetry of the satellite power supply and distribution subsystem to the satellite health status, and the impact of the telemetry abnormality on the satellite, the importance weight is assigned to each telemetry. Specifically, according to the function and structure of the satellite power supply and distribution subsystem, as well as the fault sensitivity, fault impact range and fault recovery difficulty of each telemetry, a large weight is assigned to the key telemetry, and a small weight is assigned to the non-key telemetry, as shown in the following table.
[0063]
[0064] Step S2: According to the mutual coupling relationship of various telemetry of the satellite power supply and distribution subsystem, for multiple telemetry that are related to each other, increase the weight when they are abnormal at the same time. The related telemetry is shown in the following table.
[0065]
[0066] If multiple telemetry values of the same category are abnormal at the same time, their weights will be doubled. For example, if the battery voltage and battery capacity are abnormal at the same time, the weights will be adjusted to battery voltage (1.4) and battery capacity (0.4).
[0067] Step S3: Due to the limited computing power on the satellite, a simple accumulation algorithm is used to add the weights in step S1 to obtain the health score, and the health score is adjusted according to step S2 to obtain the final health score.
[0068] Case 1: The master / backup and status counts of the lower machine are abnormal, then the health score = 0.1 + 0.1 = 0.2;
[0069] Case 2: If the battery voltage, battery capacity and battery temperature are abnormal, the health score = 0.7*2+0.2*2+0.8*2=3.4.
[0070] Step S4: When the health score is less than or equal to 0.5, the health status is "good"; when the health score is greater than 0.5 and less than or equal to 1.5, the health status is "general"; when the health score is greater than 1.5, the health status is "faulty".
[0071] Step S5: Generate a corresponding health message based on the health status evaluation of the satellite power supply and distribution subsystem, and transmit it in the short message format. Specifically, based on the result of step S4, generate the short message content, where "good" is set to "00B", "normal" is set to "01B", and "fault" is set to "11B", and transmit it through the satellite's short message link. The ground obtains the health status of the satellite power supply and distribution subsystem according to the short message decoding method.
[0072] The present invention can comprehensively evaluate the health status of the satellite power supply and distribution subsystem according to the importance and coupling relationship of all telemetry of the satellite power supply and distribution subsystem, thereby improving the accuracy and reliability of the health evaluation of the satellite power supply and distribution subsystem; it can continuously use the power supply and distribution telemetry information on the satellite to evaluate the health status of the power supply and distribution subsystem, and can still detect the abnormal telemetry that temporarily changes when the satellite is outside the coverage of the ground station, and act on the satellite power supply and distribution health status, so that the ground can obtain abnormal information in time after the satellite enters the coverage of the ground station.
[0073] The present invention also provides a satellite power supply and distribution health message generation system, which can be implemented by executing the process steps of the satellite power supply and distribution health message generation method, that is, technical personnel in this field can understand the satellite power supply and distribution health message generation method as a preferred implementation mode of the satellite power supply and distribution health message generation system.
[0074] Specifically, a satellite power supply and distribution health message generation system includes:
[0075] Module M1: collects satellite telemetry information;
[0076] Module M2: configure different weights according to the satellite telemetry information;
[0077] Module M3: Fusion of different weights to obtain health status assessment results;
[0078] Module M4: Generate and send corresponding health messages based on the evaluation results.
[0079] The module M2 includes the following submodules:
[0080] Module M2.1: Assign importance weights to each telemetry item based on the importance of each telemetry item of the satellite power supply and distribution subsystem to the satellite health status and the impact of telemetry anomalies on the satellite;
[0081] Module M2.2: Based on the mutual coupling relationship of the telemetry of the satellite power supply and distribution subsystem, the weight of multiple telemetry that are interrelated when anomalies occur at the same time is increased.
[0082] The module M3 includes the following submodules:
[0083] Module M3.1: Adopt data fusion method to fuse the weights of various abnormal telemetry into the health score of satellite power supply and distribution subsystem;
[0084] Module M3.2: Determine the health status of the satellite power supply and distribution subsystem based on the health score.
[0085] The module M2.1 comprises:
[0086] The telemetry information is divided into key telemetry information and non-key telemetry information, and the weight of the key telemetry information is greater than the weight of the non-key telemetry information;
[0087] If the telemetry exceeds the preset range, it is determined that the telemetry is abnormal;
[0088] The telemetry abnormality includes the failure of a single machine causing the telemetry abnormality and the failure of the single machine but the telemetry itself causing the abnormality.
[0089] The data fusion method includes adopting an accumulation algorithm to add the weights of the abnormalities generated by the telemetry in module M2.1 to obtain a health score; the health status includes good, general and faulty.
[0090] The module M4 includes generating a corresponding health message by evaluating the health status of the satellite power supply and distribution subsystem, and generating short message content based on the health status; wherein good is set to 00B, normal is set to 01B, and fault is set to 11B, and is transmitted down through the satellite's short message link, so that the ground can obtain the health status of the satellite power supply and distribution subsystem according to the short message decoding method.
[0091] Those skilled in the art know that, in addition to realizing the system and its various devices, modules, and units provided by the present invention in a purely computer-readable program code, it is entirely possible to realize the same functions in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system and its various devices, modules, and units provided by the present invention can be considered as a hardware component, and the devices, modules, and units included therein for realizing various functions can also be regarded as structures within the hardware component; the devices, modules, and units for realizing various functions can also be regarded as both software modules for realizing the method and structures within the hardware component.
[0092] In the description of the present application, it should be understood that the terms "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.
[0093] The above describes the specific embodiments of the present invention. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essence of the present invention. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.
Claims
1. A method for generating a satellite power supply and distribution health message, characterized in that: include: Step S1: Collecting satellite telemetry information; Step S2: configuring different weights according to the satellite telemetry information; Step S3: Fusing different weights to obtain the health status assessment result; Step S4: Generate and send a corresponding health message based on the evaluation result.
2. The method for generating a satellite power supply and distribution health message according to claim 1, characterized in that: The step S2 comprises the following sub-steps: Step S2.1: assign importance weights to various telemetry items according to the importance of the telemetry items of the satellite power supply and distribution subsystem to the satellite health status and the impact of abnormal telemetry items on the satellite; Step S2.2: Based on the mutual coupling relationship of the telemetry of the satellite power supply and distribution subsystem, for multiple telemetry that are interrelated, the weights of the simultaneous abnormalities are increased.
3. The method for generating a satellite power supply and distribution health message according to claim 2, characterized in that: The step S3 comprises the following sub-steps: Step S3.1: adopting data fusion method to fuse the weights of various abnormal telemetry into the health score of the satellite power supply and distribution subsystem; Step S3.2: Determine the health status of the satellite power supply and distribution subsystem based on the health score.
4. The method for generating a satellite power supply and distribution health message according to claim 2, characterized in that: The step S2.1 comprises: The telemetry information is divided into key telemetry information and non-key telemetry information, and the weight of the key telemetry information is greater than the weight of the non-key telemetry information; If the telemetry exceeds the preset range, it is determined that the telemetry is abnormal; The telemetry abnormality includes the failure of a single machine causing the telemetry abnormality and the failure of the single machine but the telemetry itself causing the abnormality.
5. The method for generating a satellite power supply and distribution health message according to claim 3, characterized in that: The data fusion method includes adopting an accumulation algorithm to add the weights of the abnormalities generated by the telemetry in step S2.1 to obtain a health score; the health status includes good, general and faulty.
6. The method for generating a satellite power supply and distribution health message according to claim 5, characterized in that: The step S4 includes generating a corresponding health message based on the health status evaluation of the satellite power supply and distribution subsystem, and generating short message content based on the health status; wherein good is set to 00B, normal is set to 01B, and fault is set to 11B, and the message is transmitted down through the satellite's short message link, so that the ground can obtain the health status of the satellite power supply and distribution subsystem according to the short message decoding method.
7. A satellite power supply and distribution health message generation system, characterized in that: include: Module M1: collects satellite telemetry information; Module M2: configure different weights according to the satellite telemetry information; Module M3: Fusion of different weights to obtain health status assessment results; Module M4: Generate and send corresponding health messages based on the evaluation results.
8. The satellite power supply and distribution health message generation system according to claim 7, characterized in that: The module M2 Includes the following submodules: Module M2.1: Assign importance weights to each telemetry item based on the importance of each telemetry item of the satellite power supply and distribution subsystem to the satellite health status and the impact of telemetry anomalies on the satellite; Module M2.2: Based on the mutual coupling relationship of the telemetry of the satellite power supply and distribution subsystem, the weight of multiple telemetry that are interrelated when anomalies occur at the same time is increased.
9. The satellite power supply and distribution health message generation system according to claim 8, characterized in that: The module M3 includes the following submodules: Module M3.1: Adopt data fusion method to fuse the weights of various abnormal telemetry into the health score of satellite power supply and distribution subsystem; Module M3.2: Determine the health status of the satellite power supply and distribution subsystem based on the health score.
10. The satellite power supply and distribution health message generation system according to claim 8, characterized in that: The module M2.1 comprises: The telemetry information is divided into key telemetry information and non-key telemetry information, and the weight of the key telemetry information is greater than the weight of the non-key telemetry information; If the telemetry exceeds the preset range, it is determined that the telemetry is abnormal; The telemetry abnormality includes the failure of a single machine causing the telemetry abnormality and the failure of the single machine but the telemetry itself causing the abnormality.