CN110391840B - Method and system for judging abnormality of telemetry parameters of sun synchronous orbit satellite - Google Patents
Method and system for judging abnormality of telemetry parameters of sun synchronous orbit satellite Download PDFInfo
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- H04B7/185—Space-based or airborne stations; Stations for satellite systems
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Abstract
the application relates to a method, a system, computer equipment and a storage medium for judging the abnormality of telemetry parameters of a sun synchronous orbit satellite. The method comprises the following steps: the method comprises the steps of obtaining real-time telemetering data and delayed telemetering data of parameters to be monitored, which are returned by a sun synchronous orbit satellite, respectively generating a real-time data sequence and a delayed data sequence according to the real-time telemetering data and the delayed telemetering data in a current time period, obtaining real-time trend information of the real-time telemetering data according to the real-time data sequence, obtaining delayed trend information of the delayed telemetering data according to the delayed data sequence, obtaining a comprehensive measurement index of the parameters to be monitored in the current time period according to the real-time trend information and the delayed trend information, obtaining a historical comprehensive measurement index of the parameters to be monitored, and judging whether the parameters to be monitored are abnormal or not according to the historical comprehensive measurement index. By adopting the method, the simplicity and the instantaneity of judging the abnormal change trend of the parameters can be realized, and the identification degree of parameter change is improved.
Description
Technical Field
The application relates to the technical field of computers, in particular to a method and a system for judging telemetering parameter abnormality of a sun synchronous orbit satellite.
Background
in the process of in-orbit operation, management, monitoring and task execution of a satellite in a space environment, subsystems and components of the satellite can generate massive telemetry data. The telemetry data is processed and analyzed to reflect slow, trending changes in satellite on-orbit function and performance. The in-orbit judgment and identification aiming at the abnormal change trend of the satellite system in function and performance can early warn the in-orbit state and performance of the satellite, find the abnormal change of the state parameters of the satellite in time in early stage and adjust the in-orbit operation behavior of the satellite system according to the identification condition, which has important significance for keeping the in-orbit health condition of the satellite system, prolonging the service life and improving the task completion effect.
At present, methods used in the aspect of telemetry data anomaly detection are mainly divided into two categories, one is to directly use original telemetry data to perform detection and identification, and the other is to perform detection and identification according to the characteristics of the telemetry data. In the first method, a typical method is a threshold judgment method, namely, whether abnormity exists is identified according to whether the satellite telemetry parameter value falls in a given upper limit range and a given lower limit range, but when the difference of the upper limit value and the lower limit value of the telemetry parameter is large, the trend of abnormal change of the telemetry parameter is difficult to quickly find out by the method; in the second method, the fourier transform or wavelet transform is used to extract the spectral features, trend features, etc. of the telemetry parameters, and then the identification of the abnormal change of the satellite telemetry parameters is performed according to the statistical characteristic values (such as mean value, variance, etc.) of the characteristic quantities, but the characteristic extraction techniques are complex, large in calculation amount, and not strong in timeliness, and generally difficult to meet the on-orbit identification requirement of the abnormal change trend of the satellite telemetry parameters.
Disclosure of Invention
in view of the above, it is necessary to provide a method for determining an abnormality of telemetry parameters of a sun-synchronous orbit satellite.
a method for judging telemetering parameter abnormality of a sun synchronous orbit satellite comprises the following steps:
acquiring real-time telemetering data and delayed telemetering data of parameters to be monitored, which are transmitted back by a solar synchronous orbit satellite;
Respectively generating a real-time data sequence and a delayed data sequence according to the real-time telemetering data and the delayed telemetering data in the current time period;
Obtaining real-time trend information of the real-time telemetering data according to the real-time data sequence; obtaining delay trend information of the delay telemetering data according to the delay data sequence;
Obtaining a comprehensive measurement index of the parameter to be monitored in the current time period according to the real-time trend information and the delay trend information;
Acquiring historical comprehensive measurement indexes of the parameters to be monitored, and judging whether the parameters to be monitored are abnormal or not according to the historical comprehensive measurement indexes and the comprehensive measurement indexes.
in one embodiment, the method further comprises the following steps: when the sun synchronous orbit satellite is detected to enter a preset observable area, connection is established with the sun synchronous orbit satellite; sending a data request for obtaining delay telemetering data and real-time telemetering data of the parameters to be monitored to the solar synchronous orbit satellite; and receiving the time delay telemetering data sent by the solar synchronous orbit satellite according to the data request, receiving the real-time data of the parameters to be detected sent by the solar synchronous orbit satellite in real time, and generating the real-time telemetering data according to the real-time data.
in one embodiment, the real-time telemetry data is sorted according to the time sequence of each data point in the real-time telemetry data to generate a real-time data sequence; and sequencing the delay telemetering data according to the time sequence of each data point in the delay telemetering data to generate a delay data sequence.
In one embodiment, the method further comprises the following steps: obtaining a real-time data average value corresponding to the real-time telemetering data according to the real-time data sequence; respectively acquiring maximum real-time data and minimum real-time data in the real-time data sequence; obtaining real-time trend information according to the ratio of the difference value of the maximum real-time data and the real-time data average value to the difference value of the real-time data average value and the minimum real-time data; obtaining a delay data average value corresponding to the delay telemetering data according to the delay data sequence; respectively acquiring maximum delay data and minimum delay data in the delay data sequence; and obtaining delay trend information according to the ratio of the difference value of the maximum delay data and the average delay data to the difference value of the average delay data and the minimum delay data.
in one embodiment, the method further comprises the following steps: acquiring a preset first weight of the real-time trend information and a preset second weight of the delay trend information; and respectively carrying out weighted summation on the real-time trend information and the delay trend information according to the first weight and the second weight to obtain a comprehensive measurement index of the parameter to be monitored in the current time period.
in one embodiment, the method further comprises the following steps: obtaining a trend metric value trend rate according to the absolute value of the difference value between the comprehensive metric index and the historical comprehensive metric index and the ratio of the historical comprehensive metric index; and judging whether the parameter to be monitored is abnormal or not according to whether the trend rate of the trend metric value is within a threshold range or not.
In one embodiment, the method further comprises the following steps: judging whether historical comprehensive measurement indexes are stored in a database; if not, storing the comprehensive measurement index into a database as a historical comprehensive measurement index, or determining a maximum value selected by the comprehensive measurement index and the historical comprehensive measurement index, and updating the historical comprehensive integration degree index in the database according to the maximum value.
A system for determining anomaly in telemetry parameters for a sun-synchronous orbiting satellite, the system comprising:
the data acquisition module is used for acquiring real-time telemetering data and delayed telemetering data of the parameters to be monitored, which are transmitted back by the solar synchronous orbit satellite;
the sequence generation module is used for respectively generating a real-time data sequence and a delay data sequence according to the real-time telemetering data and the delay telemetering data in the current time period;
the trend acquisition module is used for acquiring real-time trend information of the real-time telemetering data according to the real-time data sequence; obtaining delay trend information of the delay telemetering data according to the delay data sequence;
the index calculation module is used for obtaining a comprehensive measurement index of the parameter to be monitored in the current time period according to the real-time trend information and the delay trend information;
and the judging module is used for acquiring historical comprehensive measurement indexes of the parameters to be monitored and judging whether the parameters to be monitored are abnormal or not according to the historical comprehensive measurement indexes and the comprehensive measurement indexes.
a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring real-time telemetering data and delayed telemetering data of parameters to be monitored, which are transmitted back by a solar synchronous orbit satellite;
respectively generating a real-time data sequence and a delayed data sequence according to the real-time telemetering data and the delayed telemetering data in the current time period;
obtaining real-time trend information of the real-time telemetering data according to the real-time data sequence; obtaining delay trend information of the delay telemetering data according to the delay data sequence;
obtaining a comprehensive measurement index of the parameter to be monitored in the current time period according to the real-time trend information and the delay trend information;
Acquiring historical comprehensive measurement indexes of the parameters to be monitored, and judging whether the parameters to be monitored are abnormal or not according to the historical comprehensive measurement indexes and the comprehensive measurement indexes.
a computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring real-time telemetering data and delayed telemetering data of parameters to be monitored, which are transmitted back by a solar synchronous orbit satellite;
Respectively generating a real-time data sequence and a delayed data sequence according to the real-time telemetering data and the delayed telemetering data in the current time period;
obtaining real-time trend information of the real-time telemetering data according to the real-time data sequence; obtaining delay trend information of the delay telemetering data according to the delay data sequence;
Obtaining a comprehensive measurement index of the parameter to be monitored in the current time period according to the real-time trend information and the delay trend information;
acquiring historical comprehensive measurement indexes of the parameters to be monitored, and judging whether the parameters to be monitored are abnormal or not according to the historical comprehensive measurement indexes and the comprehensive measurement indexes.
The method, the system, the computer equipment and the storage medium for judging the abnormal telemetering parameters of the solar synchronous orbit satellite respectively generate a real-time data sequence and a delay data sequence according to the real-time telemetering data and the delay telemetering data of the parameters to be monitored, which are returned by the solar synchronous orbit satellite, obtain the real-time trend information of the real-time telemetering data according to the real-time data sequence, obtain the delay trend information of the delay telemetering data according to the delay data sequence, do not need to carry out complex processing on the data from the data level, have less calculation amount and have real-time property, on the other hand, obtain the comprehensive measurement index of the parameters to be monitored in the current time period according to the real-time trend information and the delay trend information, obtain the historical comprehensive measurement index of the parameters to be monitored, and obtain the historical comprehensive measurement index of the parameters to be monitored according to the historical comprehensive measurement index and, and judging whether the parameters to be monitored are abnormal or not, and indexing the data to be detected through the processing, so that the identification degree is higher through monitoring the indexes. By the embodiment of the invention, the simplicity and the real-time property of judging the abnormal change trend of the parameters can be realized, and the identification degree of parameter change is improved.
Drawings
FIG. 1 is a diagram illustrating an exemplary scenario for anomaly determination of telemetry parameters for a sun-orbiting satellite;
FIG. 2 is a schematic diagram illustrating an exemplary process for determining anomalies in telemetry parameters for a sun-orbiting satellite;
FIG. 3 is a schematic flow chart of the real-time telemetry data and delayed telemetry data acquisition steps in one embodiment;
FIG. 4 is a block diagram of a system for determining an anomaly in telemetry parameters for a sun-orbiting satellite according to an embodiment;
FIG. 5 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
the method for judging the abnormality of the telemetry parameters of the solar synchronous orbit satellite can be applied to the application environment shown in figure 1. Wherein the sun-synchronous orbiting satellite 102 is in network communication with a server 104 via a network. The sun-synchronous orbiting satellite 102 may be a meteorological satellite, an earth resource satellite, etc., and the server 104 is not limited to be implemented by an independent server or a server cluster composed of a plurality of servers.
in one embodiment, as shown in fig. 2, a method for determining an anomaly of telemetry parameters of a sun-synchronous orbit satellite is provided, which is applied to the server in fig. 1 as an example, and includes the following steps:
step 202, acquiring real-time telemetering data and delayed telemetering data of parameters to be monitored, which are transmitted back by the solar synchronous orbit satellite.
The parameter to be monitored is one of telemetric data, and when the rail runs in idle running, a large amount of running data is involved, such as: the system comprises measurement and control information, fault information, load performance information and the like, wherein the information comprises a large amount of hidden information, and slow and trend changes of the on-orbit function and performance of the solar synchronous orbit satellite can be reflected by analyzing telemetering data.
the real-time telemetering data refers to telemetering data which is acquired and sent to the server by the sun synchronous orbit satellite in real time after the server establishes real-time connection with the sun synchronous orbit satellite. The time-delay telemetering data refers to telemetering data which is acquired and stored in a satellite storage medium when the sun synchronous orbit satellite does not establish connection with a server.
During specific implementation, when the solar synchronous orbit satellite runs to a range which can be monitored by the server, the solar synchronous orbit satellite sends the delay telemetering data to the server through interaction, the server is in continuous communication with the solar synchronous orbit satellite, and the server acquires real-time telemetering data returned by the solar synchronous orbit satellite.
And step 204, respectively generating a real-time data sequence and a delayed data sequence according to the real-time telemetering data and the delayed telemetering data in the current time period.
The time interval of the current time period is fixed, the time interval is set by the server, and the time period corresponding to the parameter judgment is called the current time period.
in terms of time period selection, in order to ensure the accuracy of the abnormal judgment, the earth is taken as a cycle in one day, and if the current time period is one earth time period, the previous time period is the same earth time period in the previous earth day, so that the sun-synchronous orbiting satellites can be ensured to run in the same space environment during the judgment.
A real-time data sequence refers to a sequence of a plurality of real-time telemetry data points, and a delayed data sequence refers to a sequence of a plurality of delayed telemetry data points.
And step 206, obtaining the real-time trend information of the real-time telemetering data according to the real-time data sequence, and obtaining the delay trend information of the delay telemetering data according to the delay data sequence.
The real-time trend information refers to an index for measuring the change trend of the real-time telemetry data, and can be calculated by inputting the real-time data sequence into a specific algorithm model, wherein the algorithm model can be various, for example: slope calculation model, expectation calculation model, etc. Similarly, the delay trend information refers to an index for measuring the change trend of the delay telemetry data, and can be obtained by inputting the delay data sequence into the same algorithm model for calculation.
In the step, the change trend of the real-time telemetering data and the delay telemetering data can be conveniently judged by acquiring the real-time trend information of the real-time telemetering data and the delay trend information of the delay telemetering data.
And 208, obtaining a comprehensive measurement index of the parameter to be monitored in the current time period according to the real-time trend information and the delay trend information.
the comprehensive measurement index reflects the variation trend of the parameter to be monitored in the current time period, and the real-time telemetering data and the delayed telemetering data are combined to form complete telemetering data in the current time period, so that the variation trend of the parameter to be monitored can be conveniently predicted.
step 210, obtaining historical comprehensive measurement indexes of the parameters to be monitored, and judging whether the parameters to be monitored are abnormal or not according to the historical comprehensive measurement indexes and the comprehensive measurement indexes.
The historical comprehensive measurement index refers to a comprehensive measurement index pre-stored in a server database, and the comprehensive measurement index is stored in the database when the abnormality of the parameter to be monitored is judged last time.
Specifically, whether the parameter to be monitored is abnormal or not can be judged by comparing the comprehensive measurement index with the historical comprehensive measurement index.
in the method, real-time telemetering data and delayed telemetering data of parameters to be monitored, which are returned by a sun synchronous orbit satellite, are acquired, a real-time data sequence and a delayed data sequence are respectively generated according to the real-time telemetering data and the delayed telemetering data in the current time period, real-time trend information of the real-time telemetering data is acquired according to the real-time data sequence, delayed trend information of the delayed telemetering data is acquired according to the delayed data sequence, the data does not need to be processed in a complex way from the data level, the calculation amount is less, the real-time performance is realized, on the other hand, comprehensive measurement indexes of the parameters to be monitored in the current time period are acquired according to the real-time trend information and the delayed trend information, historical comprehensive measurement indexes of the parameters to be monitored are acquired, whether the parameters to be monitored are abnormal or not is judged according to, the data to be detected can be indexed, so that the identification degree is higher by monitoring the indexes. By the embodiment of the invention, the simplicity and the instantaneity of the abnormal change of the parameters can be realized, and the identification degree of the parameter change can be improved.
in one embodiment, as shown in FIG. 3, a schematic flow chart of the steps of real-time telemetry data and delayed telemetry data acquisition is provided, the specific steps are as follows:
step 302, when it is detected that the sun synchronous orbit satellite enters a preset observable region, connection is established with the sun synchronous orbit satellite.
The observable area refers to an area where an observation station where the server is located can control the sun-synchronous orbit satellite, and can be set through the control range of the observation station. In contrast, an unobservable region, namely an observation station uncontrollable region is also provided, wherein the delayed telemetry data is the telemetry data of the sun synchronous orbit satellite in the unobservable region in orbit.
and step 304, sending a data request for obtaining the delay telemetering data and the real-time telemetering data of the parameters to be monitored to the solar synchronous orbit satellite.
and step 306, receiving the delayed telemetering data sent by the solar synchronous orbit satellite according to the data request, receiving the real-time data of the parameter to be detected sent by the solar synchronous orbit satellite in real time, and generating the real-time telemetering data according to the real-time data.
The solar synchronous orbit satellite stores the delay telemetering data, so that the delay telemetering data can be acquired after the server is connected with the solar synchronous orbit satellite, and for the real-time telemetering data, the solar synchronous orbit satellite transmits the telemetering data to the server in real time after the server is connected with the solar synchronous orbit satellite, so that the server acquires the real-time telemetering data and the delay telemetering data.
in an embodiment, when generating the real-time data sequence and the delayed data sequence, the following steps may be specifically adopted: and sequencing the delay telemetering data according to the time sequence of each data point in the delay telemetering data to generate a delay data sequence.
In a specific embodiment, after acquiring the real-time telemetering data and the time delay telemetering data of the sun synchronous orbit satellite, the server extracts data for a concerned parameter P to be monitored, preprocesses the extracted real-time telemetering data and the time delay telemetering data, and then respectively obtains real-time data sequences of the parameter P to be monitored after time alignment is performed on data pointsand a delayed data sequenceThe real-time data sequence comprises m data points, and the delay data sequence comprises n data points.
In one embodiment, the method includes obtaining real-time data average values corresponding to real-time telemetry data according to a real-time data sequence, respectively obtaining maximum real-time data and minimum real-time data in the real-time data sequence, obtaining real-time trend information according to a ratio of a difference between the maximum real-time data and the real-time data average values to a difference between the real-time data average values and the minimum real-time data average values, obtaining delay data average values corresponding to delay telemetry data according to a delay data sequence, respectively obtaining maximum delay data and minimum delay data in the delay data sequence, and obtaining delay trend information according to a ratio of a difference between the maximum delay data and the delay data average values to a difference between the delay data average values and the minimum delay data average values.
specifically, the algorithm model may be as follows:
wherein the content of the first and second substances,Which represents the average of the real-time data,Representing real-time trending information.
the algorithmic model for calculating the delay trend information may be:
wherein the content of the first and second substances,Indicating the number of delaysaccording to the average value of the data,the delay tendency information is represented.
when the real-time trend information and the delayed trend information are calculated, the real-time data sequence is respectively processedAnd a delayed data sequenceAnd inputting a corresponding algorithm model.
In one embodiment, in calculating the composite metric index, it may be: and acquiring a first weight of preset real-time trend information and a second weight of preset delay trend information, and respectively carrying out weighted summation on the real-time trend information and the delay trend information according to the first weight and the second weight to obtain a comprehensive measurement index of the parameter to be monitored in the current time period. In the embodiment, the proportion of the real-time telemetering data is increased by setting the weight value in consideration of different functions of the real-time telemetering data and the delayed telemetering data when trend judgment is performed.
specifically, the first weight is set tothe second weight is. The calculation formula of the composite metric index is thus as follows:
Wherein the content of the first and second substances,Representing the composite metric.
In another embodiment, when the telemetering parameter abnormality judgment is performed, a trend metric value trend rate is obtained according to the absolute value of the difference value between the comprehensive metric index and the historical comprehensive metric index and the ratio of the historical comprehensive metric index, and whether the parameter to be monitored is abnormal or not is judged according to whether the trend metric value trend rate is within the threshold range or not.
In particular, the trend metric trend rateThe calculation formula of (a) is as follows:
Wherein the content of the first and second substances,representing a historical composite metric.
in another embodiment, the threshold values may be set toAndwherein, in the step (A),In order to be the threshold value of the abnormal variation trend,trend rate using trend metric for possible anomalous data thresholdswhen the method is carried out, the specific judgment method is as follows: if it isIf so, the parameter to be monitored has a trend of abnormal change; if it isIf so, abnormal data may exist in the parameter to be monitored; if it isAnd the parameter change to be monitored is in a normal state. The server outputs three different states in the three states, and the identification degree is high, so that the on-orbit identification requirement of the abnormal change trend is met.
In one embodiment, it is further required to determine whether the historical integrated metric index is stored in the database, and if not, the integrated metric index is stored in the database as the historical integrated metric index. In this embodiment, when the data acquisition is the first data acquisition, the database of the server does not store data corresponding to the parameter to be monitored, so that the result of the data acquisition can be used as the historical comprehensive measurement index, the monitoring period is then prolonged, and the abnormal judgment of the telemetering data of the parameter to be monitored is completed when the data acquisition is performed next time.
In another embodiment, the server stores the historical comprehensive measurement index, and after the abnormality judgment is finished, the following formula can be used for the historical comprehensive measurement indexUpdating:
The following description of the embodiments of the present invention will be made in conjunction with a specific embodiment.
in one embodiment, the data is from a certain sun synchronous orbit satellite, the parameters to be monitored are TMN003 bus A current and TMN005 bus B current in a power supply system, 4091 pieces of telemetering data are taken as one earth day as a time period, and the abnormal change trend threshold value is set as shown in Table 1And possibly anomalous data thresholds。
TABLE 1 TMN003 bus A Current and TMN005 bus B Current telemetry data example
it is worth noting that only a part of the data is given because of the large amount of data.
The first earth day, aiming at the telemetering parameters TMN003 bus A current and TMN005 bus B current, respectively forming a real-time data sequenceAndtime-delayed data sequenceAnd。
respectively calculating real-time trend information:
Respectively calculating delay trend information:
respectively calculating the comprehensive measurement indexes of TMN003 bus A current and TMN005 bus B current, wherein the formula is as follows:
wherein the content of the first and second substances,Represents the comprehensive measurement index of TMN003 bus A current,Represents the comprehensive measurement index of TMN005 bus B current.
Since there is no historical integrated metric stored in the server for TMN003 bus A current and TMN005 bus B current, it will beAndand storing the data into a database as historical comprehensive measurement indexes. Namely, it is=2.5537， =3.1379。
The second earth day, aiming at TMN003 bus A current and TMN005 bus B current, respectively forming real-time data sequenceandtime-delayed data sequenceAnd。
Respectively calculating real-time trend information:
respectively calculating delay trend information:
Respectively calculating the comprehensive measurement indexes of TMN003 bus A current and TMN005 bus B current, wherein the formula is as follows:
wherein the content of the first and second substances,Represents the comprehensive measurement index of TMN003 bus A current,represents the comprehensive measurement index of TMN005 bus B current.
trend metric trend rates of TMN003 bus A current and TMN005 bus B current are respectively calculated as follows:
from this, it can be determined that both TMN003 bus a current and TMN005 bus B current are normal.
The historical integrated metrics for TMN003 bus a current and TMN005 bus B current may be updated using the following equations:
It should be understood that although the various steps in the fig. 2-3 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-3 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 4, there is provided a system for determining anomaly of telemetry parameters of a sun-synchronous orbit satellite, including: a data acquisition module 402, a sequence generation module 404, a trend acquisition module 406, an index calculation module 408, and a determination module 410, wherein:
the data acquisition module 402 is used for acquiring real-time telemetering data and delayed telemetering data of parameters to be monitored, which are transmitted back by the solar synchronous orbit satellite;
a sequence generating module 404, configured to generate a real-time data sequence and a delayed data sequence according to the real-time telemetry data and the delayed telemetry data in the current time period, respectively;
A trend acquisition module 406, configured to obtain real-time trend information of the real-time telemetry data according to the real-time data sequence; obtaining delay trend information of the delay telemetering data according to the delay data sequence;
the index calculation module 408 is configured to obtain a comprehensive measurement index of the parameter to be monitored in the current time period according to the real-time trend information and the delay trend information;
the determining module 410 is configured to obtain a historical comprehensive measurement index of a parameter to be monitored, and determine whether the parameter to be monitored is abnormal according to the historical comprehensive measurement index and the comprehensive measurement index.
in one embodiment, the data acquisition module 402 is further configured to establish a connection with the sun-synchronous orbit satellite when the sun-synchronous orbit satellite is detected to enter a preset observable region; sending a data request for obtaining delay telemetering data and real-time telemetering data of the parameters to be monitored to the solar synchronous orbit satellite; and receiving the time delay telemetering data sent by the solar synchronous orbit satellite according to the data request, receiving the real-time data of the parameters to be detected sent by the solar synchronous orbit satellite in real time, and generating the real-time telemetering data according to the real-time data.
In one embodiment, the sequence generation module 404 is further configured to sort the real-time telemetry data according to a time sequence of each data point in the real-time telemetry data, so as to generate a real-time data sequence; and sequencing the delay telemetering data according to the time sequence of each data point in the delay telemetering data to generate a delay data sequence.
In one embodiment, the trend obtaining module 406 is further configured to obtain a real-time data average value corresponding to the real-time telemetry data according to the real-time data sequence; respectively acquiring maximum real-time data and minimum real-time data in the real-time data sequence; obtaining real-time trend information according to the ratio of the difference value of the maximum real-time data and the real-time data average value to the difference value of the real-time data average value and the minimum real-time data; obtaining a delay data average value corresponding to the delay telemetering data according to the delay data sequence; respectively acquiring maximum delay data and minimum delay data in the delay data sequence; and obtaining delay trend information according to the ratio of the difference value of the maximum delay data and the average delay data to the difference value of the average delay data and the minimum delay data.
In one embodiment, the index calculation module 408 is further configured to obtain a preset first weight of the real-time trend information and a preset second weight of the delay trend information; and respectively carrying out weighted summation on the real-time trend information and the delay trend information according to the first weight and the second weight to obtain a comprehensive measurement index of the parameter to be monitored in the current time period.
in one embodiment, the determining module 410 is further configured to obtain a trend metric value trend rate according to a ratio of an absolute value of a difference between the comprehensive metric index and the historical comprehensive metric index to the historical comprehensive metric index; and judging whether the parameter to be monitored is abnormal or not according to whether the trend rate of the trend metric value is within a threshold range or not.
in one embodiment, further comprising: the updating module is used for judging whether historical comprehensive measurement indexes are stored in the database; if not, storing the comprehensive measurement index into a database as a historical comprehensive measurement index; or determining the maximum value selected by the comprehensive measurement index and the historical comprehensive measurement index, and updating the historical comprehensive degree index in the database according to the maximum value.
for specific limitations of the system for judging the abnormality of the telemetry parameters of the sun-synchronous orbit satellite, reference may be made to the above limitations of the method for judging the abnormality of the telemetry parameters of the sun-synchronous orbit satellite, and details are not repeated here. All modules in the system for judging the abnormal telemetry parameters of the solar synchronous orbit satellite can be completely or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing historical composite metric index data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize the evaluation method of the toughness of the micro-grid system under the damaged environment.
Those skilled in the art will appreciate that the architecture shown in fig. 5 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a computer device comprising a memory storing a computer program and a processor implementing the following steps when the processor executes the computer program:
acquiring real-time telemetering data and delayed telemetering data of parameters to be monitored, which are transmitted back by a solar synchronous orbit satellite;
Respectively generating a real-time data sequence and a delayed data sequence according to the real-time telemetering data and the delayed telemetering data in the current time period;
Obtaining real-time trend information of the real-time telemetering data according to the real-time data sequence; obtaining delay trend information of the delay telemetering data according to the delay data sequence;
Obtaining a comprehensive measurement index of the parameter to be monitored in the current time period according to the real-time trend information and the delay trend information;
Acquiring historical comprehensive measurement indexes of the parameters to be monitored, and judging whether the parameters to be monitored are abnormal or not according to the historical comprehensive measurement indexes and the comprehensive measurement indexes.
In one embodiment, the processor, when executing the computer program, further performs the steps of: when the sun synchronous orbit satellite is detected to enter a preset observable area, connection is established with the sun synchronous orbit satellite; sending a data request for obtaining delay telemetering data and real-time telemetering data of the parameters to be monitored to the solar synchronous orbit satellite; and receiving the time delay telemetering data sent by the solar synchronous orbit satellite according to the data request, receiving the real-time data of the parameters to be detected sent by the solar synchronous orbit satellite in real time, and generating the real-time telemetering data according to the real-time data.
In one embodiment, the processor, when executing the computer program, further performs the steps of: sequencing the real-time telemetering data according to the time sequence of each data point in the real-time telemetering data to generate a real-time data sequence; and sequencing the delay telemetering data according to the time sequence of each data point in the delay telemetering data to generate a delay data sequence.
in one embodiment, the processor, when executing the computer program, further performs the steps of: obtaining a real-time data average value corresponding to the real-time telemetering data according to the real-time data sequence; respectively acquiring maximum real-time data and minimum real-time data in the real-time data sequence; obtaining real-time trend information according to the ratio of the difference value of the maximum real-time data and the real-time data average value to the difference value of the real-time data average value and the minimum real-time data; obtaining a delay data average value corresponding to the delay telemetering data according to the delay data sequence; respectively acquiring maximum delay data and minimum delay data in the delay data sequence; and obtaining delay trend information according to the ratio of the difference value of the maximum delay data and the average delay data to the difference value of the average delay data and the minimum delay data.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring a preset first weight of the real-time trend information and a preset second weight of the delay trend information; and respectively carrying out weighted summation on the real-time trend information and the delay trend information according to the first weight and the second weight to obtain a comprehensive measurement index of the parameter to be monitored in the current time period.
in one embodiment, the processor, when executing the computer program, further performs the steps of: obtaining a trend metric value trend rate according to the absolute value of the difference value between the comprehensive metric index and the historical comprehensive metric index and the ratio of the historical comprehensive metric index; and judging whether the parameter to be monitored is abnormal or not according to whether the trend rate of the trend metric value is within a threshold range or not.
In one embodiment, the processor, when executing the computer program, further performs the steps of: judging whether historical comprehensive measurement indexes are stored in a database; if not, storing the comprehensive measurement index into a database as a historical comprehensive measurement index; or determining the maximum value selected by the comprehensive measurement index and the historical comprehensive measurement index, and updating the historical comprehensive degree index in the database according to the maximum value.
in one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
Acquiring real-time telemetering data and delayed telemetering data of parameters to be monitored, which are transmitted back by a solar synchronous orbit satellite;
Respectively generating a real-time data sequence and a delayed data sequence according to the real-time telemetering data and the delayed telemetering data in the current time period;
Obtaining real-time trend information of the real-time telemetering data according to the real-time data sequence; obtaining delay trend information of the delay telemetering data according to the delay data sequence;
Obtaining a comprehensive measurement index of the parameter to be monitored in the current time period according to the real-time trend information and the delay trend information;
Acquiring historical comprehensive measurement indexes of the parameters to be monitored, and judging whether the parameters to be monitored are abnormal or not according to the historical comprehensive measurement indexes and the comprehensive measurement indexes.
In one embodiment, the computer program when executed by the processor further performs the steps of: when the sun synchronous orbit satellite is detected to enter a preset observable area, connection is established with the sun synchronous orbit satellite; sending a data request for obtaining delay telemetering data and real-time telemetering data of the parameters to be monitored to the solar synchronous orbit satellite; and receiving the time delay telemetering data sent by the solar synchronous orbit satellite according to the data request, receiving the real-time data of the parameters to be detected sent by the solar synchronous orbit satellite in real time, and generating the real-time telemetering data according to the real-time data.
In one embodiment, the computer program when executed by the processor further performs the steps of: sequencing the real-time telemetering data according to the time sequence of each data point in the real-time telemetering data to generate a real-time data sequence; and sequencing the delay telemetering data according to the time sequence of each data point in the delay telemetering data to generate a delay data sequence.
In one embodiment, the computer program when executed by the processor further performs the steps of: obtaining a real-time data average value corresponding to the real-time telemetering data according to the real-time data sequence; respectively acquiring maximum real-time data and minimum real-time data in the real-time data sequence; obtaining real-time trend information according to the ratio of the difference value of the maximum real-time data and the real-time data average value to the difference value of the real-time data average value and the minimum real-time data; obtaining a delay data average value corresponding to the delay telemetering data according to the delay data sequence; respectively acquiring maximum delay data and minimum delay data in the delay data sequence; and obtaining delay trend information according to the ratio of the difference value of the maximum delay data and the average delay data to the difference value of the average delay data and the minimum delay data.
in one embodiment, the computer program when executed by the processor further performs the steps of: acquiring a preset first weight of the real-time trend information and a preset second weight of the delay trend information; and respectively carrying out weighted summation on the real-time trend information and the delay trend information according to the first weight and the second weight to obtain a comprehensive measurement index of the parameter to be monitored in the current time period.
In one embodiment, the computer program when executed by the processor further performs the steps of: obtaining a trend metric value trend rate according to the absolute value of the difference value between the comprehensive metric index and the historical comprehensive metric index and the ratio of the historical comprehensive metric index; and judging whether the parameter to be monitored is abnormal or not according to whether the trend rate of the trend metric value is within a threshold range or not.
In one embodiment, the computer program when executed by the processor further performs the steps of: judging whether historical comprehensive measurement indexes are stored in a database; if not, storing the comprehensive measurement index into a database as a historical comprehensive measurement index; or determining the maximum value selected by the comprehensive measurement index and the historical comprehensive measurement index, and updating the historical comprehensive degree index in the database according to the maximum value.
it will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
the technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (9)
1. A method for judging telemetering parameter abnormality of a sun synchronous orbit satellite comprises the following steps:
acquiring real-time telemetering data and delayed telemetering data of parameters to be monitored, which are transmitted back by a solar synchronous orbit satellite;
respectively generating a real-time data sequence and a delayed data sequence according to the real-time telemetering data and the delayed telemetering data in the current time period;
obtaining real-time trend information of the real-time telemetering data according to the real-time data sequence; obtaining delay trend information of the delay telemetering data according to the delay data sequence;
Obtaining a comprehensive measurement index of the parameter to be monitored in the current time period according to the real-time trend information and the delay trend information;
Acquiring historical comprehensive measurement indexes of parameters to be monitored, and judging whether the parameters to be monitored are abnormal or not according to the historical comprehensive measurement indexes and the comprehensive measurement indexes;
Judging whether the parameter to be monitored is abnormal according to the historical comprehensive measurement index and the comprehensive measurement index, wherein the judging step comprises the following steps:
obtaining a trend metric value trend rate according to the absolute value of the difference value between the comprehensive metric index and the historical comprehensive metric index and the ratio of the historical comprehensive metric index;
And judging whether the parameter to be monitored is abnormal or not according to whether the trend rate of the trend metric value is within a threshold range or not.
2. The method according to claim 1, wherein the acquiring real-time telemetry data and time-delay telemetry data of the parameters to be monitored transmitted back by the sun-synchronous orbit satellite comprises:
When the sun synchronous orbit satellite is detected to enter a preset observable area, connection is established with the sun synchronous orbit satellite;
sending a data request for obtaining delay telemetering data and real-time telemetering data of the parameters to be monitored to the solar synchronous orbit satellite;
and receiving the time delay telemetering data sent by the solar synchronous orbit satellite according to the data request, receiving the real-time data of the parameters to be detected sent by the solar synchronous orbit satellite in real time, and generating the real-time telemetering data according to the real-time data.
3. The method of claim 1, wherein generating a real-time data sequence and a delayed data sequence from the real-time telemetry data and the delayed telemetry data, respectively, over a current time period comprises:
Sequencing the real-time telemetering data according to the time sequence of each data point in the real-time telemetering data to generate a real-time data sequence;
and sequencing the delay telemetering data according to the time sequence of each data point in the delay telemetering data to generate a delay data sequence.
4. the method of claim 3, wherein real-time trend information of the real-time telemetry data is derived from the real-time data sequence; obtaining delay trend information of the delay telemetry data according to the delay data sequence, wherein the delay trend information comprises:
Obtaining a real-time data average value corresponding to the real-time telemetering data according to the real-time data sequence; respectively acquiring maximum real-time data and minimum real-time data in the real-time data sequence;
Obtaining real-time trend information according to the ratio of the difference value of the maximum real-time data and the real-time data average value to the difference value of the real-time data average value and the minimum real-time data;
Obtaining a delay data average value corresponding to the delay telemetering data according to the delay data sequence; respectively acquiring maximum delay data and minimum delay data in the delay data sequence;
and obtaining delay trend information according to the ratio of the difference value of the maximum delay data and the average delay data to the difference value of the average delay data and the minimum delay data.
5. the method according to any one of claims 1 to 4, wherein obtaining the comprehensive measurement index of the parameter to be monitored in the current time period according to the real-time trend information and the delay trend information comprises:
Acquiring a preset first weight of the real-time trend information and a preset second weight of the delay trend information;
And respectively carrying out weighted summation on the real-time trend information and the delay trend information according to the first weight and the second weight to obtain a comprehensive measurement index of the parameter to be monitored in the current time period.
6. the method according to any one of claims 1 to 4,
Before obtaining the historical comprehensive measurement index of the parameter to be monitored, the method further comprises the following steps:
judging whether historical comprehensive measurement indexes are stored in a database;
If not, storing the comprehensive measurement index into a database as a historical comprehensive measurement index;
Or after judging whether the parameter to be monitored is abnormal according to the historical comprehensive measurement index and the comprehensive measurement index, the method further comprises the following steps:
and determining the maximum value selected by the comprehensive measurement index and the historical comprehensive measurement index, and updating the historical comprehensive degree index in the database according to the maximum value.
7. A system for judging the abnormality of telemetry parameters of a sun synchronous orbit satellite is characterized by comprising the following components:
The data acquisition module is used for acquiring real-time telemetering data and delayed telemetering data of the parameters to be monitored, which are transmitted back by the solar synchronous orbit satellite;
The sequence generation module is used for respectively generating a real-time data sequence and a delay data sequence according to the real-time telemetering data and the delay telemetering data in the current time period;
The trend acquisition module is used for acquiring real-time trend information of the real-time telemetering data according to the real-time data sequence; obtaining delay trend information of the delay telemetering data according to the delay data sequence;
the index calculation module is used for obtaining a comprehensive measurement index of the parameter to be monitored in the current time period according to the real-time trend information and the delay trend information;
the judging module is used for acquiring historical comprehensive measurement indexes of the parameters to be monitored and judging whether the parameters to be monitored are abnormal or not according to the historical comprehensive measurement indexes and the comprehensive measurement indexes;
the judgment module is also used for obtaining a trend metric value trend rate according to the absolute value of the difference value between the comprehensive metric index and the historical comprehensive metric index and the ratio of the historical comprehensive metric index; and judging whether the parameter to be monitored is abnormal or not according to whether the trend rate of the trend metric value is within a threshold range or not.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
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