CN110391840A - 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
- Publication number
- CN110391840A CN110391840A CN201910873649.7A CN201910873649A CN110391840A CN 110391840 A CN110391840 A CN 110391840A CN 201910873649 A CN201910873649 A CN 201910873649A CN 110391840 A CN110391840 A CN 110391840A
- Authority
- CN
- China
- Prior art keywords
- data
- real
- time
- delay
- parameter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
- G08C25/00—Arrangements for preventing or correcting errors; Monitoring arrangements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/1851—Systems using a satellite or space-based relay
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/14—Relay systems
- H04B7/15—Active relay systems
- H04B7/185—Space-based or airborne stations; Stations for satellite systems
- H04B7/1851—Systems using a satellite or space-based relay
- H04B7/18513—Transmission in a satellite or space-based system
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/14—Session management
- H04L67/141—Setup of application sessions
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Astronomy & Astrophysics (AREA)
- Aviation & Aerospace Engineering (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Radio Relay Systems (AREA)
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
This application involves field of computer technology, sentence extremely more particularly to a kind of satellite in Sun-synchronous orbit telemetry parameter
Disconnected method and system.
Background technique
Satellite in space environment in orbit, management, monitoring and during execution task, subsystem and component meeting
Generate the telemetry of magnanimity.Telemetry is handled and is analyzed, can reflect and occur in the in-orbit function of satellite and performance
Slow, tendency variation.And for satellite system in function and performance the in-orbit differentiation of anomalous variation trend with distinguish
Know, can give warning in advance to the in-orbit state of satellite and performance, finds the anomalous variation of satellitosis parameter in time in early stage
And the in-orbit operation behavior of satellite system is adjusted according to identification situation, this keeps in-orbit health status to satellite system, extends use
Service life and raising task complete benefit and are all of great significance.
Currently, used method is broadly divided into two classes in terms of telemetry abnormality detection, one is directly using former
Beginning telemetry carry out detection and identification, it is another then be according to telemetry feature progress detection and identification.In first kind method,
Typical method is exactly thresholding determining method, i.e., identification in given upper and lower limits whether is fallen according to satellite telemetry parameters value is
It is no to there is exception, but this method is when telemetry parameter upper lower limit value difference is larger, it is difficult to and quickly discovery telemetry parameter becomes extremely
The trend of change;In the second class method, more common is to extract telemetering ginseng using technologies such as Fourier transformation or wavelet transformations
Several spectrum signature, trend feature etc., further according to mutually these characteristic quantities statistics characteristic value (such as mean value, variance) come into
The identification of row satellite telemetry parameters anomalous variation, but often these Feature Extraction Technologies are complex, computationally intensive, timeliness
It is not strong, it is difficult to meet the in-orbit identification requirement of satellite telemetry parameters anomalous variation trend.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of satellite in Sun-synchronous orbit telemetry parameter and sentence extremely
Disconnected method.
A kind of satellite in Sun-synchronous orbit telemetry parameter abnormality judgment method, which comprises
Obtain the real-time telemetry data and delayed telemetry data of the parameter to be monitored of satellite in Sun-synchronous orbit passback;
According to the real-time telemetry data and the delayed telemetry data in current slot, real time data sequence is generated respectively
With delay data sequence;
According to the real time data sequence, the real-time tendency information of the real-time telemetry data is obtained;According to the delay data
Sequence obtains the delay tendency information of the delayed telemetry data;
According to the real-time tendency information and the delay tendency information, the comprehensive of parameter to be monitored in the current slot is obtained
Right figureofmerit;
The history comprehensive measurement index for obtaining parameter to be monitored, refers to according to the history comprehensive measurement index and the comprehensive measurement
Mark judges whether parameter to be monitored is abnormal.
In one of the embodiments, further include: when detect satellite in Sun-synchronous orbit be enter preset it is considerable
When surveying region, connection is established with satellite in Sun-synchronous orbit;It is sent to satellite in Sun-synchronous orbit and obtains prolonging for parameter to be monitored
When telemetry and real-time telemetry data request of data;According to the request of data, receives satellite in Sun-synchronous orbit and send
The delayed telemetry data, and, real-time reception satellite in Sun-synchronous orbit send parameter to be detected real time data, root
According to the real time data, the real-time telemetry data are generated.
In one of the embodiments, according to the time sequencing of each data point in the real-time telemetry data, to described
Real-time telemetry data are ranked up, and generate real time data sequence;According to the time of each data point in the delayed telemetry data
Sequentially, the delayed telemetry data are ranked up, generate delay data sequence.
In one of the embodiments, further include: according to the real time data sequence, obtain the real-time telemetry data pair
The real time data average value answered;The maximum real time data and minimum real time data in the real time data sequence are obtained respectively;Root
It is real according to the difference and the real time data average value and the minimum of the maximum real time data and the real time data average value
When data difference ratio, obtain real-time tendency information;According to the delay data sequence, the delayed telemetry data are obtained
Corresponding delay data average value;The maximum delay data in the delay data sequence and minimum delay data are obtained respectively;
According to the maximum delay data and the difference of the delay data average value and the delay data average value and the minimum
The ratio of the difference of delay data obtains delay tendency information.
In one of the embodiments, further include: obtain the pre-set real-time tendency information the first weight and
Second weight of the pre-set delay tendency information;According to first weight and second weight, respectively to institute
It states real-time tendency information and the delay tendency information is weighted summation, obtain parameter to be monitored in the current slot
Comprehensive measurement index.
In one of the embodiments, further include: according to the comprehensive measurement index and the history comprehensive measurement index
Difference absolute value, the ratio with the history comprehensive measurement index obtains trend metric trend rate;According to the trend
Metric trend rate judges whether parameter to be monitored is abnormal whether in threshold range.
In one of the embodiments, further include: judge history comprehensive measurement index whether is stored in database;If
It is no, then the comprehensive measurement index is stored into database as history comprehensive measurement index, or, determining the comprehensive measurement
The maximum value that index and the history comprehensive measurement index are chosen, it is comprehensive to the history in the database according to the maximum value
Right index is updated.
A kind of satellite in Sun-synchronous orbit telemetry parameter is abnormal to judge system, the system comprises:
Data acquisition module, the real-time telemetry data and delay of the parameter to be monitored for obtaining satellite in Sun-synchronous orbit passback
Telemetry;
Sequence generating module, for dividing according to the real-time telemetry data and the delayed telemetry data in current slot
It Sheng Cheng not real time data sequence and delay data sequence;
Trend obtains module, for obtaining the real-time tendency information of the real-time telemetry data according to the real time data sequence;
According to the delay data sequence, the delay tendency information of the delayed telemetry data is obtained;
Index computing module, for obtaining the current time according to the real-time tendency information and the delay tendency information
The comprehensive measurement index of parameter to be monitored in section;
Judgment module, for obtaining the history comprehensive measurement index of parameter to be monitored, according to the history comprehensive measurement index and
The comprehensive measurement index judges whether parameter to be monitored is abnormal.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing
Device performs the steps of when executing the computer program
Obtain the real-time telemetry data and delayed telemetry data of the parameter to be monitored of satellite in Sun-synchronous orbit passback;
According to the real-time telemetry data and the delayed telemetry data in current slot, real time data sequence is generated respectively
With delay data sequence;
According to the real time data sequence, the real-time tendency information of the real-time telemetry data is obtained;According to the delay data
Sequence obtains the delay tendency information of the delayed telemetry data;
According to the real-time tendency information and the delay tendency information, the comprehensive of parameter to be monitored in the current slot is obtained
Right figureofmerit;
The history comprehensive measurement index for obtaining parameter to be monitored, refers to according to the history comprehensive measurement index and the comprehensive measurement
Mark judges whether parameter to be monitored is abnormal.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
It is performed the steps of when row
Obtain the real-time telemetry data and delayed telemetry data of the parameter to be monitored of satellite in Sun-synchronous orbit passback;
According to the real-time telemetry data and the delayed telemetry data in current slot, real time data sequence is generated respectively
With delay data sequence;
According to the real time data sequence, the real-time tendency information of the real-time telemetry data is obtained;According to the delay data
Sequence obtains the delay tendency information of the delayed telemetry data;
According to the real-time tendency information and the delay tendency information, the comprehensive of parameter to be monitored in the current slot is obtained
Right figureofmerit;
The history comprehensive measurement index for obtaining parameter to be monitored, refers to according to the history comprehensive measurement index and the comprehensive measurement
Mark judges whether parameter to be monitored is abnormal.
Above-mentioned satellite in Sun-synchronous orbit telemetry parameter abnormality judgment method, system, computer equipment and storage medium lead to
Cross obtain satellite in Sun-synchronous orbit passback parameter to be monitored real-time telemetry data and delayed telemetry data, according to it is current when
Between real-time telemetry data and delayed telemetry data in section, real time data sequence and delay data sequence are generated respectively, according to reality
When data sequence, obtain the real-time tendency information of real-time telemetry data, according to delay data sequence, obtain delayed telemetry data
Be delayed tendency information, and from data plane, it is not necessary that data are carried out with complicated processing, calculation amount is less, to have real-time, separately
On the one hand, according to real-time tendency information and delay tendency information, the comprehensive measurement for obtaining parameter to be monitored in current slot refers to
Mark, obtain the history comprehensive measurement index of parameter to be monitored, according to history comprehensive measurement index and comprehensive measurement index, judge to
Whether monitoring parameters are abnormal, by above-mentioned processing, the data for needing to detect can be carried out indexing, thus by supervising to index
Control, identification are higher.By inventive embodiments, may be implemented the simplicity of abnormal parameters variation tendency judgement, real-time and
Improve the identification of Parameters variation.
Detailed description of the invention
Fig. 1 is the application scenario diagram that satellite in Sun-synchronous orbit telemetry parameter judges extremely in one embodiment;
Fig. 2 is the flow diagram that satellite in Sun-synchronous orbit telemetry parameter judges extremely in one embodiment;
Fig. 3 is the flow diagram of real-time telemetry data and delayed telemetry data acquisition step in one embodiment;
Fig. 4 is the structural block diagram that satellite in Sun-synchronous orbit telemetry parameter judges system extremely in one embodiment;
Fig. 5 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only to explain the application, and do not have to
In restriction the application.
Satellite in Sun-synchronous orbit telemetry parameter abnormality judgment method provided by the present application, can be applied to shown in FIG. 1
In application environment.Wherein, satellite in Sun-synchronous orbit 102 carries out network communication by network and server 104.Wherein, the sun
Geosynchronous satellite 102 can be meteorological satellite, earth resources satellite etc., and server 104 is not limited to can be with independent server
The server cluster of either multiple server compositions is realized.
In one embodiment, as shown in Fig. 2, providing a kind of abnormal judgement side of satellite in Sun-synchronous orbit telemetry parameter
Method is applied to for the server in Fig. 1 in this way, comprising the following steps:
Step 202, the real-time telemetry data and delayed telemetry data of the parameter to be monitored of satellite in Sun-synchronous orbit passback are obtained.
Parameter to be monitored is one of telemetry, when track operates in dry running, is related to a large amount of operation data, example
Such as: observing and controlling information, fault message, load performance information include a large amount of hiding information in these information, by telemetering
Data are analyzed, and can reflect slow, tendency the change occurred in the in-orbit function of satellite in Sun-synchronous orbit and performance
Change.
After real-time telemetry data refer to that server establishes real-time connect with satellite in Sun-synchronous orbit, sun-synchronous orbit
The passing of satelline acquires the telemetry for being sent to server in real time.Delayed telemetry data refer to that satellite in Sun-synchronous orbit does not have
Connection is established with server, the telemetry for acquiring and being stored in satellite storage medium at this time.
In specific implementation, when satellite in Sun-synchronous orbit runs to server the range that can be monitored, by interaction, too
Delayed telemetry data are sent to server by positive geosynchronous satellite, and server persistently leads to satellite in Sun-synchronous orbit
Letter, the real-time telemetry data of collection of server satellite in Sun-synchronous orbit passback.
Step 204, according to the real-time telemetry data and delayed telemetry data in current slot, real time data is generated respectively
Sequence and delay data sequence.
The time interval of current slot be it is fixed, time interval is server setting, and the judgement of this subparameter is corresponding
Period is referred to as current slot.
In the selection of period, in order to guarantee the accuracy judged extremely, with the earth one day for a cycle, if currently
Period is the One Earth One Family period, then previous time period is the previous Earth Day identical earth period, to guarantee sentencing
When disconnected, satellite in Sun-synchronous orbit operates in identical space environment.
Real time data sequence refer to by multiple real-time telemetry group of data points at sequence, delay data sequence refer to by
Multiple delayed telemetry group of data points at sequence.
Step 206, according to real time data sequence, the real-time tendency information of real-time telemetry data is obtained, according to delay data
Sequence obtains the delay tendency information of delayed telemetry data.
Real-time tendency information refers to measuring the index of real-time telemetry data variation trend, can be by by real time data sequence
Column input specific algorithm model and are calculated, algorithm model can be it is a variety of, such as: slope computation model, expectation calculate mould
Type etc..Likewise, delay tendency information refers to measuring the index of delayed telemetry data variation trend, the number that will be delayed can be passed through
It is calculated according to the identical algorithm model of sequence inputting.
In this step, believed by the delay trend of the real-time tendency information and delayed telemetry data that obtain real-time telemetry data
Breath can carry out the variation tendency of real-time telemetry data and delayed telemetry data convenient for treating the development trend of monitoring parameters
Judgement.
Step 208, according to real-time tendency information and delay tendency information, the comprehensive of parameter to be monitored in current slot is obtained
Right figureofmerit.
Comprehensive measurement index reflects the variation tendency of parameter to be monitored in current slot, by real-time telemetry data
It is combined with delayed telemetry data, so that the complete telemetry in current slot is formed, consequently facilitating to ginseng to be monitored
Several variation tendencies are predicted.
Step 210, the history comprehensive measurement index for obtaining parameter to be monitored, according to history comprehensive measurement index and synthesis degree
Figureofmerit judges whether parameter to be monitored is abnormal.
History comprehensive measurement index refers to being stored in advance in comprehensive measurement index in server database, the comprehensive measurement
Index is treated when monitoring parameters judge extremely by the last time in deposit database.
It specifically can be by the way that comprehensive measurement index be compared with history comprehensive measurement index, to judge ginseng to be monitored
Whether number is abnormal.
In the above method, by obtaining the real-time telemetry data of the parameter to be monitored of satellite in Sun-synchronous orbit passback and prolonging
When telemetry generate real time data sequence respectively according to the real-time telemetry data and delayed telemetry data in current slot
The real-time tendency information of real-time telemetry data is obtained, according to delay data sequence according to real time data sequence with delay data sequence
Column, obtain the delay tendency information of delayed telemetry data, from data plane, it is not necessary that data are carried out with complicated processing, calculation amount
It is less, to have real-time, on the other hand, according to real-time tendency information and delay tendency information, obtain in current slot
The comprehensive measurement index of parameter to be monitored obtains the history comprehensive measurement index of parameter to be monitored, is referred to according to history comprehensive measurement
Mark and comprehensive measurement index judge whether parameter to be monitored is abnormal, by above-mentioned processing, the data for needing to detect can be carried out
Indexing, so that identification is higher by monitoring to index.By inventive embodiments, the letter of abnormal parameters variation may be implemented
Just property, real-time and the identification for improving Parameters variation.
In one embodiment, as shown in figure 3, being the schematic of real-time telemetry data and delayed telemetry data acquisition step
Flow chart, the specific steps are as follows:
Step 302, it when detecting that satellite in Sun-synchronous orbit entrance presets Observable region, is defended with sun-synchronous orbit
Star establishes connection.
Observable region refers to that observation station locating for server can be to the area that satellite in Sun-synchronous orbit is controlled
Domain, Observable region can be arranged by the control range of observation station.Opposite, it is also provided with unobservable region, that is, is observed
It stands uncontrollable region, wherein delayed telemetry data are the telemetering numbers that satellite in Sun-synchronous orbit is in-orbit in unobservable region
According to.
Step 304, the delayed telemetry data and real-time telemetry for obtaining parameter to be monitored are sent to satellite in Sun-synchronous orbit
The request of data of data.
Step 306, according to the request of data, the delayed telemetry data that satellite in Sun-synchronous orbit is sent are received, and,
The real time data for the parameter to be detected that real-time reception satellite in Sun-synchronous orbit is sent generates real-time telemetry according to real time data
Data.
Delayed telemetry data are stored in satellite in Sun-synchronous orbit, therefore, when server and satellite in Sun-synchronous orbit
It establishes after connection, so that it may delayed telemetry data are obtained, for real-time telemetry data, server and satellite in Sun-synchronous orbit
It establishes after connection, telemetry is sent to server in real time by satellite in Sun-synchronous orbit, so that server is got in real time
Telemetry and delayed telemetry data.
In one embodiment, it when generating real time data sequence and delay data sequence, can specifically use: according to real-time
The time sequencing of each data point in telemetry, is ranked up real-time telemetry data, real time data sequence is generated, according to prolonging
When telemetry in each data point time sequencing, delayed telemetry data are ranked up, generate delay data sequence.
In one embodiment, server obtains the real-time telemetry data and delayed telemetry number of satellite in Sun-synchronous orbit
According to later, data extraction is carried out for parameter P to be monitored of interest, the real-time telemetry data and delayed telemetry obtain to extraction
Data are pre-processed, and after then carrying out time unifying to data point, respectively obtain the real time data sequence of parameter P to be monitoredWith delay data sequence,
Wherein, include m data point in real time data sequence, include n data point in delay data sequence.
In one embodiment, according to real time data sequence, the corresponding real time data average value of real-time telemetry data is obtained,
The maximum real time data and minimum real time data in real time data sequence are obtained respectively, according to maximum real time data and real time data
The ratio of the difference of the difference and real time data average value of average value and minimum real time data, obtains real-time tendency information, according to
Delay data sequence obtains the corresponding delay data average value of delayed telemetry data, obtains in delay data sequence respectively most
Big delay data and minimum delay data, it is average according to maximum delay data and the difference of delay data average value and delay data
The ratio of value and the difference of minimum delay data obtains delay tendency information.
Specifically, algorithm model can be such that
Wherein,Indicate real time data average value,Indicate real-time tendency information.
The algorithm model of computation delay tendency information may is that
Wherein,Indicate delay data average value,Indicate delay tendency information.
When carrying out the calculating of real-time tendency information and the tendency information that is delayed, respectively by real time data sequenceWith delay data sequence
Input corresponding algorithm model.
In one embodiment, when calculating comprehensive measurement index, it may is that and obtain pre-set real-time tendency information
Second weight of the first weight and pre-set delay tendency information, according to the first weight and the second weight, respectively to real-time
Tendency information and delay tendency information are weighted summation, obtain the comprehensive measurement index of parameter to be monitored in current slot.
In the present embodiment, it is contemplated that real-time telemetry data and delayed telemetry data are when carrying out Trend judgement, played a role difference, because
This increases specific gravity shared by real-time telemetry data by setting weight.
Specifically, the first weight of setting is, the second weight be.Therefore the calculation formula of comprehensive measurement index is as follows:
Wherein,Indicate comprehensive measurement index.
In another embodiment, comprehensive according to comprehensive measurement index and history when the abnormal parameters that take remote measurement judge
The absolute value of the difference of Measure Indexes, the ratio with history comprehensive measurement index obtain trend metric trend rate, according to trend
Metric trend rate judges whether parameter to be monitored is abnormal whether in threshold range.
Specifically, trend metric trend rateCalculation formula it is as follows:
Wherein,Indicate history comprehensive measurement index.
In another embodiment, threshold value can be respectively set isWith, whereinFor anomalous variation trend threshold value,For
There may be abnormal data threshold values, utilize trend metric trend rateWhen progress, specific judgment method is: if, then parameter to be monitored has the tendency that anomalous variation;If, then there may be different for parameter to be monitored
Regular data;If, then Parameters variation to be monitored is in normal condition.Above-mentioned three kinds of states, server export three kinds not
Same state, identification is higher, to meet the in-orbit identification requirement of anomalous variation trend.
In one embodiment, it is also necessary to judge history comprehensive measurement index whether is stored in database, if it is not, then will
Comprehensive measurement index is stored into database as history comprehensive measurement index.In the present embodiment, headed by the acquisition of this data
When secondary data acquire, without storing the corresponding data of parameter to be monitored in the database of server, therefore can be by this data
Then the result of acquisition extends monitoring cycle as history comprehensive measurement index, in the acquisition of data next time, prison is treated in completion
The telemetry for surveying parameter carries out abnormal judgement.
In another embodiment, history comprehensive measurement index is stored in server, then judgement is tied extremely at this
Shu Hou, can be using following formula to history comprehensive measurement indexIt is updated:
Below in conjunction with a specific embodiment, the embodiment of the present invention is carried out to understand explanation.
In one embodiment, data source Mr. Yu satellite in Sun-synchronous orbit, parameter to be monitored are in power-supply system
TMN003 bus A electric current and TMN005 bus B electric current, with One Earth One Family day for a period, totally 4091 telemetries, such as
Shown in table 1, and the anomalous variation trend threshold value setWith there may be abnormal data threshold values。
1 TMN003 bus A electric current of table and TMN005 bus B telemetering of current data instance
It is worth noting that only providing part of data since data volume is larger.
First Earth Day is respectively formed reality for telemetry parameter TMN003 bus A electric current and TMN005 bus B electric current
When data sequenceWith,
Delay data sequenceWith。
Calculate separately real-time tendency information:
Calculate separately delay tendency information:
The comprehensive measurement index of TMN003 bus A electric current and TMN005 bus B electric current is calculated separately, formula is as follows:
Wherein,Indicate the comprehensive measurement index of TMN003 bus A electric current,Indicate the synthesis of TMN005 bus B electric current
Measure Indexes.
Due to there is no the history comprehensive measurement for storing TMN003 bus A electric current and TMN005 bus B electric current to refer in server
Mark, therefore willWithIt is stored in database and is used as history comprehensive measurement index.I.e.=2.5537,
=3.1379。
Second Earth Day is respectively formed real time data sequence for TMN003 bus A electric current and TMN005 bus B electric current
ColumnWith, delay
Data sequenceWith。
Calculate separately real-time tendency information:
Calculate separately delay tendency information:
The comprehensive measurement index of TMN003 bus A electric current and TMN005 bus B electric current is calculated separately, formula is as follows:
Wherein,Indicate the comprehensive measurement index of TMN003 bus A electric current,Indicate the synthesis of TMN005 bus B electric current
Measure Indexes.
Calculate separately the trend metric trend rate of TMN003 bus A electric current and TMN005 bus B electric current are as follows:
It is possible thereby to judge, TMN003 bus A electric current and TMN005 bus B electric current are normal.
It can be using following formula to the history comprehensive measurement index of TMN003 bus A electric current and TMN005 bus B electric current
It is updated:
It should be understood that although each step in Fig. 2-3 figure successively shows that these steps are simultaneously according to the instruction of arrow
It is not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, the execution of these steps is not
There is stringent sequence limitation, these steps can execute in other order.Moreover, at least part step in Fig. 2-3 can
To include that perhaps these sub-steps of multiple stages or stage are not necessarily to execute completion in synchronization to multiple sub-steps,
But can execute at different times, the execution sequence in these sub-steps or stage, which is also not necessarily, successively to be carried out, but
It can be executed in turn or alternately at least part of the sub-step or stage of other steps or other steps.
In one embodiment, as Fig. 4 shows, a kind of satellite in Sun-synchronous orbit telemetry parameter exception judgement system is provided, is wrapped
Include: data acquisition module 402, sequence generating module 404, trend obtain module 406, index computing module 408 and judgment module
410, in which:
Data acquisition module 402, for obtain satellite in Sun-synchronous orbit passback parameter to be monitored real-time telemetry data and
Delayed telemetry data;
Sequence generating module 404, for according to the real-time telemetry data and the delayed telemetry data in current slot,
Real time data sequence and delay data sequence are generated respectively;
Trend obtains module 406, for obtaining the real-time tendency letter of the real-time telemetry data according to the real time data sequence
Breath;According to the delay data sequence, the delay tendency information of the delayed telemetry data is obtained;
Index computing module 408 is used for according to the real-time tendency information and the delay tendency information, when obtaining described current
Between in section parameter to be monitored comprehensive measurement index;
Judgment module 410, for obtaining the history comprehensive measurement index of parameter to be monitored, according to the history comprehensive measurement index
With the comprehensive measurement index, judge whether parameter to be monitored is abnormal.
In one embodiment, data acquisition module 402, which is also used to work as, detects that satellite in Sun-synchronous orbit enters in advance
When Observable region is set, connection is established with satellite in Sun-synchronous orbit;It is to be monitored that acquisition is sent to satellite in Sun-synchronous orbit
The delayed telemetry data of parameter and the request of data of real-time telemetry data;According to the request of data, sun-synchronous orbit is received
The delayed telemetry data that satellite is sent, and, the reality for the parameter to be detected that real-time reception satellite in Sun-synchronous orbit is sent
When data the real-time telemetry data are generated according to the real time data.
In one embodiment, sequence generating module 404 is also used to according to each data point in the real-time telemetry data
Time sequencing, the real-time telemetry data are ranked up, generate real time data sequence;According in the delayed telemetry data
The time sequencing of each data point is ranked up the delayed telemetry data, generates delay data sequence.
In one embodiment, trend obtains module 406 and is also used to be obtained described real-time according to the real time data sequence
The corresponding real time data average value of telemetry;The maximum real time data and minimum reality in the real time data sequence are obtained respectively
When data;According to the difference and the real time data average value and institute of the maximum real time data and the real time data average value
The ratio for stating the difference of minimum real time data obtains real-time tendency information;According to the delay data sequence, the delay is obtained
The corresponding delay data average value of telemetry;The maximum delay data and minimum obtained in the delay data sequence respectively are prolonged
When data;According to the maximum delay data and the difference of the delay data average value and the delay data average value and institute
The ratio for stating the difference of minimum delay data obtains delay tendency information.
In one embodiment, index computing module 408 is also used to obtain the pre-set real-time tendency information
Second weight of the first weight and the pre-set delay tendency information;According to first weight and second power
Value, is weighted summation to the real-time tendency information and the delay tendency information respectively, obtains in the current slot
The comprehensive measurement index of parameter to be monitored.
In one embodiment, judgment module 410 is also used to according to the comprehensive measurement index and the history synthesis degree
The absolute value of the difference of figureofmerit, the ratio with the history comprehensive measurement index obtain trend metric trend rate;According to institute
Trend metric trend rate is stated whether in threshold range, judges whether parameter to be monitored is abnormal.
In one embodiment, further includes: update module, for judging whether store history comprehensive measurement in database
Index;If it is not, then the comprehensive measurement index is stored into database as history comprehensive measurement index;Or, described in determining
The maximum value that comprehensive measurement index and the history comprehensive measurement index are chosen, according to the maximum value, in the database
History synthesis degree index be updated.
Judge extremely about satellite in Sun-synchronous orbit telemetry parameter system it is specific limit may refer to above for
The restriction of satellite in Sun-synchronous orbit telemetry parameter abnormality judgment method, details are not described herein.Above-mentioned satellite in Sun-synchronous orbit
Modules in telemetry parameter exception judgement system can be realized fully or partially through software, hardware and combinations thereof.It is above-mentioned
Each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also be stored in a software form
In memory in computer equipment, the corresponding operation of the above modules is executed in order to which processor calls.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 5.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is for storing history comprehensive measurement achievement data.The network interface of the computer equipment is used for and outside
Terminal passes through network connection communication.To realize micro-grid system under a kind of impaired environment when the computer program is executed by processor
Toughness evaluation method.
It will be understood by those skilled in the art that structure shown in Fig. 5, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment, including memory and processor are provided, which is stored with
Computer program, the processor perform the steps of when executing computer program
Obtain the real-time telemetry data and delayed telemetry data of the parameter to be monitored of satellite in Sun-synchronous orbit passback;
According to the real-time telemetry data and the delayed telemetry data in current slot, real time data sequence is generated respectively
With delay data sequence;
According to the real time data sequence, the real-time tendency information of the real-time telemetry data is obtained;According to the delay data
Sequence obtains the delay tendency information of the delayed telemetry data;
According to the real-time tendency information and the delay tendency information, the comprehensive of parameter to be monitored in the current slot is obtained
Right figureofmerit;
The history comprehensive measurement index for obtaining parameter to be monitored, refers to according to the history comprehensive measurement index and the comprehensive measurement
Mark judges whether parameter to be monitored is abnormal.
In one embodiment, it also performs the steps of to work as when processor executes computer program and detects sun synchronization
Orbiter establishes connection with satellite in Sun-synchronous orbit into when presetting Observable region;It is defended to sun-synchronous orbit
Star sends the request of data of the delayed telemetry data and real-time telemetry data that obtain parameter to be monitored;According to the request of data,
The delayed telemetry data that satellite in Sun-synchronous orbit is sent are received, and, real-time reception satellite in Sun-synchronous orbit is sent
The real time data of parameter to be detected the real-time telemetry data are generated according to the real time data.
In one embodiment, it also performs the steps of when processor executes computer program according to the real-time telemetry
The time sequencing of each data point in data is ranked up the real-time telemetry data, generates real time data sequence;According to institute
The time sequencing for stating each data point in delayed telemetry data is ranked up the delayed telemetry data, generates delay data
Sequence.
In one embodiment, it also performs the steps of when processor executes computer program according to the real time data
Sequence obtains the corresponding real time data average value of the real-time telemetry data;It is obtained in the real time data sequence respectively most
Big real time data and minimum real time data;According to the maximum real time data and the difference of the real time data average value with it is described
The ratio of the difference of real time data average value and the minimum real time data, obtains real-time tendency information;According to the delay number
According to sequence, the corresponding delay data average value of the delayed telemetry data is obtained;It is obtained in the delay data sequence respectively
Maximum delay data and minimum delay data;According to the difference and institute of the maximum delay data and the delay data average value
The ratio for stating the difference of delay data average value and the minimum delay data, obtains delay tendency information.
In one embodiment, it is also performed the steps of when processor executes computer program and obtains pre-set institute
State the first weight of real-time tendency information and the second weight of the pre-set delay tendency information;According to first power
Value and second weight, are weighted summation to the real-time tendency information and the delay tendency information respectively, obtain institute
State the comprehensive measurement index of parameter to be monitored in current slot.
In one embodiment, it also performs the steps of when processor executes computer program according to the comprehensive measurement
The absolute value of the difference of index and the history comprehensive measurement index, the ratio with the history comprehensive measurement index, is become
Gesture metric trend rate;According to the trend metric trend rate whether in threshold range, judge whether parameter to be monitored is different
Often.
In one embodiment, also performed the steps of when processor executes computer program judge in database whether
Store history comprehensive measurement index;If it is not, then the comprehensive measurement index is stored into database as history synthesis degree
Figureofmerit;Or, the maximum value that the comprehensive measurement index and the history comprehensive measurement index are chosen is determined, according to the maximum
Value, is updated the history synthesis degree index in the database.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
Obtain the real-time telemetry data and delayed telemetry data of the parameter to be monitored of satellite in Sun-synchronous orbit passback;
According to the real-time telemetry data and the delayed telemetry data in current slot, real time data sequence is generated respectively
With delay data sequence;
According to the real time data sequence, the real-time tendency information of the real-time telemetry data is obtained;According to the delay data
Sequence obtains the delay tendency information of the delayed telemetry data;
According to the real-time tendency information and the delay tendency information, the comprehensive of parameter to be monitored in the current slot is obtained
Right figureofmerit;
The history comprehensive measurement index for obtaining parameter to be monitored, refers to according to the history comprehensive measurement index and the comprehensive measurement
Mark judges whether parameter to be monitored is abnormal.
In one embodiment, it also performs the steps of to work as when computer program is executed by processor and detects that the sun is same
Step orbiter establishes connection with satellite in Sun-synchronous orbit into when presetting Observable region;To sun-synchronous orbit
Satellite sends the request of data of the delayed telemetry data and real-time telemetry data that obtain parameter to be monitored;It is asked according to the data
It asks, receives the delayed telemetry data that satellite in Sun-synchronous orbit is sent, and, real-time reception satellite in Sun-synchronous orbit hair
The real time data for the parameter to be detected sent generates the real-time telemetry data according to the real time data.
In one embodiment, it is also performed the steps of when computer program is executed by processor according to described distant in real time
The time sequencing of each data point in measured data is ranked up the real-time telemetry data, generates real time data sequence;According to
The time sequencing of each data point in the delayed telemetry data, is ranked up the delayed telemetry data, generates delay number
According to sequence.
In one embodiment, it is also performed the steps of when computer program is executed by processor according to the real-time number
According to sequence, the corresponding real time data average value of the real-time telemetry data is obtained;It is obtained in the real time data sequence respectively
Maximum real time data and minimum real time data;According to difference and the institute of the maximum real time data and the real time data average value
The ratio for stating the difference of real time data average value and the minimum real time data, obtains real-time tendency information;According to the delay
Data sequence obtains the corresponding delay data average value of the delayed telemetry data;It is obtained in the delay data sequence respectively
Maximum delay data and minimum delay data;According to the maximum delay data and the difference of the delay data average value with
The ratio of the difference of the delay data average value and the minimum delay data, obtains delay tendency information.
In one embodiment, it is pre-set that acquisition is also performed the steps of when computer program is executed by processor
Second weight of the first weight of the real-time tendency information and the pre-set delay tendency information;According to described first
Weight and second weight are weighted summation to the real-time tendency information and the delay tendency information respectively, obtain
The comprehensive measurement index of parameter to be monitored in the current slot.
In one embodiment, it is also performed the steps of when computer program is executed by processor according to the comprehensive degree
The absolute value of the difference of figureofmerit and the history comprehensive measurement index, the ratio with the history comprehensive measurement index, obtains
Trend metric trend rate;According to the trend metric trend rate whether in threshold range, whether parameter to be monitored is judged
It is abnormal.
In one embodiment, also performed the steps of when computer program is executed by processor judge be in database
It is no to store history comprehensive measurement index;If it is not, then the comprehensive measurement index is stored into database comprehensive as history
Measure Indexes;Or, determine the maximum value that the comprehensive measurement index and the history comprehensive measurement index are chosen, according to it is described most
Big value, is updated the history synthesis degree index in the database.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM(EPROM), electrically erasable ROM(EEPROM) or flash memory.Volatile memory may include
Random-access memory (ram) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM(SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM(ESDRAM), synchronization link (Synchlink) DRAM(SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of satellite in Sun-synchronous orbit telemetry parameter abnormality judgment method, which comprises
Obtain the real-time telemetry data and delayed telemetry data of the parameter to be monitored of satellite in Sun-synchronous orbit passback;
According to the real-time telemetry data and the delayed telemetry data in current slot, real time data sequence is generated respectively
With delay data sequence;
According to the real time data sequence, the real-time tendency information of the real-time telemetry data is obtained;According to the delay data
Sequence obtains the delay tendency information of the delayed telemetry data;
According to the real-time tendency information and the delay tendency information, the comprehensive of parameter to be monitored in the current slot is obtained
Right figureofmerit;
The history comprehensive measurement index for obtaining parameter to be monitored, refers to according to the history comprehensive measurement index and the comprehensive measurement
Mark judges whether parameter to be monitored is abnormal.
2. the method according to claim 1, wherein described obtain the to be monitored of satellite in Sun-synchronous orbit passback
The real-time telemetry data and delayed telemetry data of parameter, comprising:
When detecting that satellite in Sun-synchronous orbit entrance presets Observable region, establishes and connect with satellite in Sun-synchronous orbit
It connects;
The data that the delayed telemetry data and real-time telemetry data that obtain parameter to be monitored are sent to satellite in Sun-synchronous orbit are asked
It asks;
According to the request of data, the delayed telemetry data that satellite in Sun-synchronous orbit is sent are received, and, real-time reception
The real time data for the parameter to be detected that satellite in Sun-synchronous orbit is sent generates the real-time telemetry according to the real time data
Data.
3. the method according to claim 1, wherein the real-time telemetry number according in current slot
According to the delayed telemetry data, generate real time data sequence and delay data sequence respectively, comprising:
According to the time sequencing of each data point in the real-time telemetry data, the real-time telemetry data are ranked up, it is raw
At real time data sequence;
According to the time sequencing of each data point in the delayed telemetry data, the delayed telemetry data are ranked up, it is raw
At delay data sequence.
4. according to the method described in claim 3, it is characterized in that, being obtained described distant in real time according to the real time data sequence
The real-time tendency information of measured data;According to the delay data sequence, the delay tendency information of the delayed telemetry data is obtained,
Include:
According to the real time data sequence, the corresponding real time data average value of the real-time telemetry data is obtained;Institute is obtained respectively
State the maximum real time data and minimum real time data in real time data sequence;
According to the maximum real time data and the difference of the real time data average value and the real time data average value and described
The ratio of the difference of minimum real time data obtains real-time tendency information;
According to the delay data sequence, the corresponding delay data average value of the delayed telemetry data is obtained;Institute is obtained respectively
State the maximum delay data in delay data sequence and minimum delay data;
According to the maximum delay data and the difference of the delay data average value and the delay data average value and described
The ratio of the difference of minimum delay data obtains delay tendency information.
5. method according to any one of claims 1 to 4, which is characterized in that according to the real-time tendency information and described
Be delayed tendency information, obtains the comprehensive measurement index of parameter to be monitored in the current slot, comprising:
Obtain the pre-set real-time tendency information the first weight and the pre-set delay tendency information the
Two weights;
According to first weight and second weight, respectively to the real-time tendency information and the delay tendency information into
Row weighted sum obtains the comprehensive measurement index of parameter to be monitored in the current slot.
6. method according to any one of claims 1 to 4, which is characterized in that according to the history comprehensive measurement index and
The comprehensive measurement index judges whether parameter to be monitored is abnormal, comprising:
According to the absolute value of the comprehensive measurement index and the difference of the history comprehensive measurement index, with the history synthesis degree
The ratio of figureofmerit obtains trend metric trend rate;
According to the trend metric trend rate whether in threshold range, judge whether parameter to be monitored is abnormal.
7. method according to any one of claims 1 to 4, which is characterized in that
Before the history comprehensive measurement index for obtaining parameter to be monitored, the method also includes:
Judge history comprehensive measurement index whether is stored in database;
If it is not, then the comprehensive measurement index is stored into database as history comprehensive measurement index;
Or, according to the history comprehensive measurement index and the comprehensive measurement index, judge parameter to be monitored whether exception
Afterwards, further includes:
Determine the maximum value that the comprehensive measurement index and the history comprehensive measurement index are chosen, it is right according to the maximum value
History synthesis degree index in the database is updated.
8. a kind of satellite in Sun-synchronous orbit telemetry parameter judges system extremely characterized by comprising
Data acquisition module, the real-time telemetry data and delay of the parameter to be monitored for obtaining satellite in Sun-synchronous orbit passback
Telemetry;
Sequence generating module, for dividing according to the real-time telemetry data and the delayed telemetry data in current slot
It Sheng Cheng not real time data sequence and delay data sequence;
Trend obtains module, for obtaining the real-time tendency information of the real-time telemetry data according to the real time data sequence;
According to the delay data sequence, the delay tendency information of the delayed telemetry data is obtained;
Index computing module, for obtaining the current time according to the real-time tendency information and the delay tendency information
The comprehensive measurement index of parameter to be monitored in section;
Judgment module, for obtaining the history comprehensive measurement index of parameter to be monitored, according to the history comprehensive measurement index and
The comprehensive measurement index judges whether parameter to be monitored is abnormal.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists
In the processor realizes method described in any one of claims 1 to 7 when executing computer program the step of.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 7 is realized when being executed by processor.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910873649.7A CN110391840B (en) | 2019-09-17 | 2019-09-17 | Method and system for judging abnormality of telemetry parameters of sun synchronous orbit satellite |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910873649.7A CN110391840B (en) | 2019-09-17 | 2019-09-17 | Method and system for judging abnormality of telemetry parameters of sun synchronous orbit satellite |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110391840A true CN110391840A (en) | 2019-10-29 |
CN110391840B CN110391840B (en) | 2019-12-17 |
Family
ID=68289664
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910873649.7A Active CN110391840B (en) | 2019-09-17 | 2019-09-17 | Method and system for judging abnormality of telemetry parameters of sun synchronous orbit satellite |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110391840B (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110990438A (en) * | 2019-12-09 | 2020-04-10 | 北京明略软件***有限公司 | Data processing method and device, electronic equipment and storage medium |
CN112623283A (en) * | 2020-12-30 | 2021-04-09 | 苏州三六零智能安全科技有限公司 | Space object abnormity detection method, device, equipment and storage medium |
CN114153191A (en) * | 2021-11-23 | 2022-03-08 | 中国人民解放军63920部队 | Spacecraft control method, device and system |
CN116886179A (en) * | 2023-09-07 | 2023-10-13 | 长光卫星技术股份有限公司 | On-orbit satellite telemetry data management and downlink method |
Citations (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1204076A2 (en) * | 2000-11-02 | 2002-05-08 | General Electric Company | Methods and apparatus for monitoring gas turbine engine operation |
CN101718864A (en) * | 2009-11-13 | 2010-06-02 | 航天东方红卫星有限公司 | System for real-time monitoring abnormal change of satellite telemetry parameters |
CN102025402A (en) * | 2009-09-14 | 2011-04-20 | 国家广播电影电视总局广播科学研究院 | Real-time satellite broadcast receiving method for train |
CN102142189A (en) * | 2010-01-29 | 2011-08-03 | 上海卫星工程研究所 | Multi-channel telemetry transmission system |
CN102147962A (en) * | 2010-02-10 | 2011-08-10 | 上海卫星工程研究所 | Method for realizing dynamic on-track programming on telemetered satellite signal |
CN102730571A (en) * | 2012-06-01 | 2012-10-17 | 华中科技大学 | Online monitoring and fault diagnosing system for crane |
CN103646167A (en) * | 2013-11-22 | 2014-03-19 | 北京空间飞行器总体设计部 | Satellite abnormal condition detection system based on telemeasuring data |
CN105302848A (en) * | 2014-10-11 | 2016-02-03 | 山东鲁能软件技术有限公司 | Evaluation value calibration method of equipment intelligent early warning system |
CN106253967A (en) * | 2016-07-28 | 2016-12-21 | 航天东方红卫星有限公司 | It is applicable to the data maintaining method of microsatellite platform and load information integrated design |
CN106314825A (en) * | 2016-10-12 | 2017-01-11 | 深圳航天东方红海特卫星有限公司 | Parallel and automatic integrated testing system for satellites |
CN106647695A (en) * | 2016-12-05 | 2017-05-10 | 航天恒星科技有限公司 | Method and system for monitoring running state of on-orbit spacecraft |
CN107832487A (en) * | 2017-09-22 | 2018-03-23 | 北京空间飞行器总体设计部 | Abnormal conditions find method in real time during satellite in orbit thruster is lighted a fire |
US20180183862A1 (en) * | 2016-12-22 | 2018-06-28 | University-Industry Cooperation Group Of Kyung-Hee University | Apparatus and method for logically grouping client nodes in an iot environment using client identifiers |
CN108400811A (en) * | 2018-02-13 | 2018-08-14 | 北京空间技术研制试验中心 | Spacelab information system based on advanced onboard processing method |
CN109407116A (en) * | 2018-11-20 | 2019-03-01 | 桂林电子科技大学 | A kind of multi-frequency-point satellite navigation quality test signal generating apparatus and generation method |
CN109459659A (en) * | 2018-11-14 | 2019-03-12 | 国网黑龙江省电力有限公司信息通信公司 | It is a kind of for predicting the system and method for electric power system fault |
CN109934130A (en) * | 2019-02-28 | 2019-06-25 | 中国空间技术研究院 | The in-orbit real-time fault diagnosis method of satellite failure and system based on deep learning |
CN110113093A (en) * | 2019-04-18 | 2019-08-09 | 中国科学院国家空间科学中心 | A kind of modularization payload floor synthetic test macro |
CN110175051A (en) * | 2019-04-11 | 2019-08-27 | 上海卫星工程研究所 | The integrated telemetering configuring management method in star ground |
CN110175633A (en) * | 2019-04-29 | 2019-08-27 | 杭州电子科技大学 | A kind of fishing boat track method for detecting abnormality based on Beidou satellite transmission data |
-
2019
- 2019-09-17 CN CN201910873649.7A patent/CN110391840B/en active Active
Patent Citations (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1204076A2 (en) * | 2000-11-02 | 2002-05-08 | General Electric Company | Methods and apparatus for monitoring gas turbine engine operation |
CN102025402A (en) * | 2009-09-14 | 2011-04-20 | 国家广播电影电视总局广播科学研究院 | Real-time satellite broadcast receiving method for train |
CN101718864A (en) * | 2009-11-13 | 2010-06-02 | 航天东方红卫星有限公司 | System for real-time monitoring abnormal change of satellite telemetry parameters |
CN102142189A (en) * | 2010-01-29 | 2011-08-03 | 上海卫星工程研究所 | Multi-channel telemetry transmission system |
CN102147962A (en) * | 2010-02-10 | 2011-08-10 | 上海卫星工程研究所 | Method for realizing dynamic on-track programming on telemetered satellite signal |
CN102730571A (en) * | 2012-06-01 | 2012-10-17 | 华中科技大学 | Online monitoring and fault diagnosing system for crane |
CN103646167A (en) * | 2013-11-22 | 2014-03-19 | 北京空间飞行器总体设计部 | Satellite abnormal condition detection system based on telemeasuring data |
CN105302848A (en) * | 2014-10-11 | 2016-02-03 | 山东鲁能软件技术有限公司 | Evaluation value calibration method of equipment intelligent early warning system |
CN106253967A (en) * | 2016-07-28 | 2016-12-21 | 航天东方红卫星有限公司 | It is applicable to the data maintaining method of microsatellite platform and load information integrated design |
CN106314825A (en) * | 2016-10-12 | 2017-01-11 | 深圳航天东方红海特卫星有限公司 | Parallel and automatic integrated testing system for satellites |
CN106647695A (en) * | 2016-12-05 | 2017-05-10 | 航天恒星科技有限公司 | Method and system for monitoring running state of on-orbit spacecraft |
US20180183862A1 (en) * | 2016-12-22 | 2018-06-28 | University-Industry Cooperation Group Of Kyung-Hee University | Apparatus and method for logically grouping client nodes in an iot environment using client identifiers |
CN107832487A (en) * | 2017-09-22 | 2018-03-23 | 北京空间飞行器总体设计部 | Abnormal conditions find method in real time during satellite in orbit thruster is lighted a fire |
CN108400811A (en) * | 2018-02-13 | 2018-08-14 | 北京空间技术研制试验中心 | Spacelab information system based on advanced onboard processing method |
CN109459659A (en) * | 2018-11-14 | 2019-03-12 | 国网黑龙江省电力有限公司信息通信公司 | It is a kind of for predicting the system and method for electric power system fault |
CN109407116A (en) * | 2018-11-20 | 2019-03-01 | 桂林电子科技大学 | A kind of multi-frequency-point satellite navigation quality test signal generating apparatus and generation method |
CN109934130A (en) * | 2019-02-28 | 2019-06-25 | 中国空间技术研究院 | The in-orbit real-time fault diagnosis method of satellite failure and system based on deep learning |
CN110175051A (en) * | 2019-04-11 | 2019-08-27 | 上海卫星工程研究所 | The integrated telemetering configuring management method in star ground |
CN110113093A (en) * | 2019-04-18 | 2019-08-09 | 中国科学院国家空间科学中心 | A kind of modularization payload floor synthetic test macro |
CN110175633A (en) * | 2019-04-29 | 2019-08-27 | 杭州电子科技大学 | A kind of fishing boat track method for detecting abnormality based on Beidou satellite transmission data |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110990438A (en) * | 2019-12-09 | 2020-04-10 | 北京明略软件***有限公司 | Data processing method and device, electronic equipment and storage medium |
CN112623283A (en) * | 2020-12-30 | 2021-04-09 | 苏州三六零智能安全科技有限公司 | Space object abnormity detection method, device, equipment and storage medium |
CN114153191A (en) * | 2021-11-23 | 2022-03-08 | 中国人民解放军63920部队 | Spacecraft control method, device and system |
CN114153191B (en) * | 2021-11-23 | 2024-05-03 | 中国人民解放军63920部队 | Spacecraft control method, device and system |
CN116886179A (en) * | 2023-09-07 | 2023-10-13 | 长光卫星技术股份有限公司 | On-orbit satellite telemetry data management and downlink method |
CN116886179B (en) * | 2023-09-07 | 2023-12-01 | 长光卫星技术股份有限公司 | On-orbit satellite telemetry data management and downlink method |
Also Published As
Publication number | Publication date |
---|---|
CN110391840B (en) | 2019-12-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110391840A (en) | Method and system for judging abnormality of telemetry parameters of sun synchronous orbit satellite | |
US20170060664A1 (en) | Method for verifying bad pattern in time series sensing data and apparatus thereof | |
CN108539736B (en) | Power failure event analysis method and system based on multi-source data and computer equipment | |
WO2018080523A1 (en) | Data cost effective fast similarity search with priority access | |
CN105974273A (en) | Power distribution network fault positioning system | |
CN112684247A (en) | User electricity stealing detection method and device, computer equipment and storage medium | |
CN111581191B (en) | Nuclear safety data verification method, device, computer equipment and storage medium | |
CN110956288A (en) | Underground cable fault early warning method and device based on three-dimensional modeling | |
CN111080484A (en) | Method and device for monitoring abnormal data of power distribution network | |
US20030114940A1 (en) | Method for the remote diagnosis of a technological process | |
CN115018220A (en) | Household appliance fault prediction method and system based on knowledge graph | |
CN113746425B (en) | Photovoltaic inverter parameter anomaly analysis method and system | |
CN110866682A (en) | Underground cable early warning method and device based on historical data | |
CN109901003B (en) | Inverter power fault detection method and system | |
EP3651296A1 (en) | System operation support device and method in power system, and wide-area monitoring protection control system | |
CN112946421B (en) | Three-phase power grid fault diagnosis method and device, computer equipment and storage medium | |
CN109375144B (en) | Current loss fault monitoring method and device based on three-phase four-wire meter equipment | |
CN109193563B (en) | Current loss fault monitoring method and device based on three-phase three-wire meter equipment | |
CN112737120A (en) | Generation method and device of regional power grid control report and computer equipment | |
CN113887990A (en) | Electrical equipment maintenance decision optimization method | |
CN112215067A (en) | Protection action analysis method and device, electronic equipment and storage medium | |
CN109508387B (en) | Atlas renaming method and device, computer equipment and storage medium | |
CN109507628B (en) | Reverse polarity fault monitoring method and device based on three-phase four-wire meter equipment | |
US20200387121A1 (en) | Transformative remedial action scheme tool (trast) | |
CN110954780A (en) | Underground cable fault detection method and device based on block chain |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |