CN116776266B - Multi-target measurement and control based data processing system and method - Google Patents
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Abstract
The invention discloses a data processing system and a method based on multi-target measurement and control data transmission, in particular to the technical field of satellite data processing, comprising a data monitoring unit: the method comprises the steps of monitoring target measurement and control equipment and target data transmission equipment in a vehicle-mounted satellite ground station in real time, obtaining a monitoring record in the monitoring period, and forming a monitoring record data table; an anomaly labeling unit: the method comprises the steps of counting abnormal data in a monitoring period of target measurement and control equipment and target data transmission equipment, confirming the abnormal data and marking; according to the invention, after the correlation weight sigma is obtained, the measurement and control evaluation coefficient and the data transmission evaluation coefficient are correlated to obtain the correction factor P, and the abnormality of the data processing of the target measurement and control equipment and the target data transmission equipment in the vehicle-mounted satellite ground station can be further corrected by obtaining the correction factor P, so that the accuracy of the data processing of the vehicle-mounted satellite ground station is improved.
Description
Technical Field
The invention relates to the technical field of satellite data processing, in particular to a data processing system and method based on multi-target measurement and control.
Background
Measurement and control refers to the process of measuring physical quantity in the real world to acquire information and then processing the information to acquire control quantity to control an executing mechanism, and data transmission refers to the capability of executing satellite telemetry, remote control and outside tasks through data transmission equipment, and the problem of communication resource shortage of a satellite ground station through the link of mutual cooperation of the measurement and control equipment and the data transmission equipment.
When multiple targets appear in the action range of the same measurement and control station, the ground measurement and control station is required to have the capability of simultaneously measuring and controlling and managing the multiple targets, so that how to realize the simultaneous and efficient measurement and control and management of the multiple target system has important significance in improving the foundation multi-target measurement and control capability, and the traditional method is to increase the number and distribution range of the measurement and control stations or adopt a multi-antenna management mode. The method has the defects that the method is only simple combination of single ground stations, has large equipment quantity, low efficiency and long data processing time, and is easy to generate error data in the data processing process, so that the data cannot be corrected in time, and particularly, when the number of targets is large and the spatial distribution is wide, the traditional data processing method has low efficiency.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present invention provide a system and a method for processing data based on multi-objective measurement and control data transmission, so as to solve the problems set forth in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions: a multi-objective measurement and control based data processing system, comprising:
and a data monitoring unit: the method comprises the steps of monitoring target measurement and control equipment and target data transmission equipment in a vehicle-mounted satellite ground station in real time, obtaining a monitoring record in the monitoring period, and forming a monitoring record data table;
an anomaly labeling unit: the method comprises the steps of counting abnormal data in a monitoring period of target measurement and control equipment and target data transmission equipment, confirming the abnormal data and marking;
measurement and control evaluation unit: the system is used for analyzing the running condition of the target measurement and control equipment, counting and analyzing data, summarizing the data to form a measurement and control evaluation coefficient, comparing the measurement and control evaluation coefficient with a preset measurement and control evaluation coefficient threshold, judging whether the measurement and control evaluation coefficient threshold is exceeded or not, and marking the abnormal factors of the measurement and control evaluation coefficient threshold;
a data transmission evaluation unit: the system is used for analyzing the running condition of the target data transmission equipment, counting and analyzing data, summarizing the data transmission evaluation coefficient, comparing the data transmission evaluation coefficient with a preset data transmission evaluation coefficient threshold value, judging whether the data transmission evaluation coefficient threshold value exceeds the preset data transmission evaluation coefficient threshold value, and marking the abnormal factors of the data transmission evaluation coefficient;
comprehensive analysis unit: the method comprises the steps of correlating a measurement and control evaluation coefficient with a data transmission evaluation coefficient through a correlation analysis model to form a comprehensive data processing index;
a data correction unit: the method comprises the steps of acquiring a comprehensive data processing index, determining the reason and correction factors of data processing abnormality, correcting abnormal data and uploading corrected data;
the correction formula conforms to the following expression:
and sigma is a correlation weight coefficient, is a correlation coefficient between target measurement and control equipment and target data transmission equipment, and is obtained by acquiring a plurality of groups of measurement and control evaluation coefficients and data transmission evaluation coefficient correlation analysis.
Preferably, the data monitoring unit acquires corresponding satellite communication data records of the measurement and control equipment and the data transmission equipment in the target vehicle-mounted satellite ground station, processes and records satellite communication data information of the target vehicle-mounted satellite ground station to form a processing record, acquires the processing record to form a data monitoring record data table, and uploads the data monitoring record data table to the memory for storage.
Preferably, the anomaly labeling unit takes 90 minutes as a monitoring period or other proper time as a monitoring period, records fault data generated by target measurement and control equipment and target data transmission equipment in the vehicle-mounted satellite ground station, and corresponds the processing record and satellite communication data record to the corresponding fault problem according to the time of generating the anomaly data, judges whether the fault data generated in the monitoring period is a new fault, if so, labels the fault data as an anomaly label, and forms an anomaly label database with the generated anomaly label.
Preferably, the measurement and control evaluation unit comprises a measurement and control data acquisition module, a measurement and control evaluation module and a measurement and control comparison module,
the measurement and control data acquisition module determines a measurement and control task set Ck, a shortest task duration Tr and a shortest task preparation duration Tz when the target measurement and control equipment performs multi-target satellite measurement and control, wherein the measurement and control task set Ck comprises an emergency task Cj and a conventional task Cg, is represented by CK { Cj, cg },
the measurement and control evaluation module normalizes the measurement and control task set, the shortest task duration Tr and the shortest task preparation duration Tz, and forms a measurement and control evaluation coefficient of the measurement and control equipment after the normalization is performed through a correlation model, and the expression of the measurement and control evaluation coefficient Cp is as follows:
wherein 0.ltoreq.ψ 1 ≤1，0≤ψ 2 ≤1，0≤ψ 3 Is less than or equal to 1 and is phi 1 +ψ 2 +ψ 3 ＝1.25，ψ 1 ＞ψ 2 ，
Wherein, psi 1, psi 2 and psi 3 are changeable influencing factors, which can be adjusted by users according to actual conditions or by computer fitting.
The measurement and control comparison module compares the measurement and control evaluation coefficient with a preset measurement and control evaluation coefficient threshold value, if the measurement and control evaluation coefficient is lower than the preset measurement and control evaluation coefficient threshold value, the target measurement and control equipment is judged to be temporarily abnormal, and if the measurement and control evaluation coefficient is higher than the preset measurement and control evaluation coefficient threshold value, whether the data in the sub-factors are abnormal or not is analyzed, and the abnormality is marked.
Preferably, the data transmission evaluation unit comprises a data transmission data acquisition module,
the data acquisition module acquires the transmission distance Sj and the transmission speed Sd of a data transmission task and determines the data transmission efficiency XL in a monitoring period when the target data transmission equipment carries out multi-target satellite data transmission, wherein the task completion degree is expressed as follows:
expressed as Rz, is the total number of data transfer tasks, expressed as zq is a monitoring period,
where zq=90 seconds.
Preferably, the data transmission evaluation unit further comprises a data transmission evaluation module and a data transmission comparison module,
the data transmission evaluation module normalizes the data transmission efficiency Xl, the transmission distance Sj and the transmission speed Sd, and forms a data transmission evaluation coefficient of the data transmission device after the normalization is performed through a correlation model, wherein the expression of the data transmission evaluation coefficient Sp is as follows:
in which 0 is less than or equal to theta 1 ≤1，0≤θ 2 ≤1，θ 1 +θ 2 ＝1，
Wherein θ 1 、θ 2 For the changeable influencing factors, the user can adjust according to the actual situation or adjust by computer fitting,
the data transmission comparison module compares the data transmission evaluation coefficient with a preset data transmission evaluation coefficient threshold value, if the data transmission evaluation coefficient is lower than the preset data transmission evaluation coefficient threshold value, the target measurement and control equipment is judged to be temporarily abnormal, and if the data transmission evaluation coefficient is higher than the preset data transmission evaluation coefficient threshold value, whether the data in the sub-factors are abnormal or not is analyzed, and the abnormality is marked.
Preferably, the comprehensive analysis unit equally divides the monitoring period along the direction of the time axis, and marks j=1, 2, 3..m-1, m, obtains measurement and control evaluation coefficients Cpm-1, cpm, and data transmission evaluation coefficients Spm-1, spm respectively, performs dimensionless quantization on the obtained measurement and control evaluation coefficients and the obtained data transmission evaluation coefficients, and associates the obtained measurement and control evaluation coefficients and the obtained data transmission evaluation coefficients through a correlation analysis model to form a comprehensive data processing index Zw, wherein the comprehensive data processing index Zw accords with the following expression:
wherein, mu is more than or equal to 0 1 ≤1，0≤μ 2 Is less than or equal to 1 and mu 1 2 +μ 2 2 =1, where μ 1 To measure and control the evaluation coefficient, mu 2 And (3) carrying out data processing evaluation on the comprehensive satellite data of the vehicle-mounted satellite ground station by using Zw (C, S) through obtaining the weight factors of the data transmission evaluation coefficients by the correlation coefficients.
Preferably, the data correction unit obtains the comprehensive data processing index and compares the comprehensive data processing index with a preset comprehensive data processing index threshold, judges whether the comprehensive data processing index threshold is high or not, if the comprehensive data processing index threshold is not lower than the preset comprehensive data processing index threshold, the data processing of the vehicle-mounted satellite ground station is indicated to be in need of correction, judges whether the measurement and control evaluation coefficient and the data transmission evaluation coefficient are abnormal or not, and if the measurement and control evaluation coefficient and the data transmission evaluation coefficient are abnormal, the measurement and control evaluation coefficient and the data transmission evaluation coefficient trace abnormal sub-factors through an abnormal mark and correct the abnormal sub-factors.
In order to achieve the above purpose, the present invention provides the following technical solutions: a data processing method based on multi-target measurement and control data transmission comprises the following steps: the data processing system based on multi-target measurement and control is used for implementing the data processing system based on multi-target measurement and control, and comprises the following steps:
step 100, monitoring target measurement and control equipment and target data transmission equipment in a satellite ground station in real time, obtaining a monitoring record in the monitoring period, and forming a monitoring record data table;
step 200, counting abnormal data in the monitoring period of the target measurement and control equipment and the target data transmission equipment, confirming the abnormal data and marking;
step 300, analyzing the running condition of the target measurement and control equipment, counting and analyzing data, summarizing to form a measurement and control evaluation coefficient, comparing the measurement and control evaluation coefficient with a preset measurement and control evaluation coefficient threshold value, judging whether the measurement and control evaluation coefficient threshold value exceeds the preset measurement and control evaluation coefficient threshold value, and marking the abnormal factors of the measurement and control evaluation coefficient;
step 400, analyzing the running condition of the target data transmission equipment, counting and analyzing data, summarizing to form a data transmission evaluation coefficient, comparing the data transmission evaluation coefficient with a preset data transmission evaluation coefficient threshold value, judging whether the data transmission evaluation coefficient threshold value exceeds the preset data transmission evaluation coefficient threshold value, and marking the abnormal factors of the data transmission evaluation coefficient;
step 500, correlating the measurement and control evaluation coefficient with the data transmission evaluation coefficient through a correlation analysis model to form a comprehensive data processing index;
step 600, acquiring a comprehensive data processing index, determining the reason and correction factors of data processing abnormality, correcting the abnormal data, and uploading the corrected data;
the invention has the technical effects and advantages that:
according to the invention, the processing record and the satellite communication data record are corresponding to the corresponding fault problems according to the time of generating the abnormal data by the vehicle-mounted satellite ground station, and the abnormal label can be checked timely according to the generated abnormal label when the abnormal label is generated, so that the cause of the fault is conveniently determined, and if the generated fault is a new fault, the generated fault is marked as the abnormal label and is used as a factor for causing the fault of the target measurement and control equipment and the target data transmission equipment in the vehicle-mounted satellite ground station.
According to the method, the measurement and control task set of the measurement and control equipment, the shortest task duration and the shortest task preparation duration of each measurement and control task are obtained and synthesized, after the influence factors are determined, whether the measurement and control data of the target measurement and control equipment are abnormal or not is comprehensively judged, and targeted correction of abnormal sub-factors is facilitated.
The invention synthesizes the data transmission efficiency, the transmission distance and the transmission speed of the target data transmission equipment by acquiring the influence factors, and then comprehensively judges whether the target data transmission equipment has data abnormality or not, thereby being convenient for carrying out targeted correction on the abnormality sub-factors.
According to the invention, after the correlation weight sigma is obtained, the measurement and control evaluation coefficient and the data transmission evaluation coefficient are correlated to obtain the correction factor P, and the abnormality of the data processing of the target measurement and control equipment and the target data transmission equipment in the vehicle-mounted satellite ground station can be further corrected by obtaining the correction factor P, so that the accuracy of the data processing of the vehicle-mounted satellite ground station is improved.
Drawings
Fig. 1 is a block diagram of a system architecture of the present invention.
Fig. 2 is a flow chart of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to FIGS. 1-2, the present embodiment provides a data processing system based on multi-objective measurement and control, comprising
And a data monitoring unit: the method comprises the steps of monitoring target measurement and control equipment and target data transmission equipment in a vehicle-mounted satellite ground station in real time, obtaining a monitoring record in the monitoring period, and forming a monitoring record data table;
in this embodiment, it should be specifically described that the data monitoring unit obtains the corresponding satellite communication data records of the measurement and control device and the data transmission device in the target vehicle-mounted satellite ground station, and records the satellite communication data information processing of the target vehicle-mounted satellite ground station to form a processing record, then obtains the processing record to form a data monitoring record data table, and uploads the data monitoring record data table to the memory for storage.
When the system is used, the data monitoring record data table is uploaded to the memory for storage, and if the vehicle-mounted satellite ground station generates abnormal data processing, the processing record can be traced, so that whether abnormal data are generated due to the fact that the target measurement and control equipment and the target data transmission equipment in the vehicle-mounted satellite ground station have the abnormal data processing is determined.
An anomaly labeling unit: the method comprises the steps of counting abnormal data in a monitoring period of target measurement and control equipment and target data transmission equipment, confirming the abnormal data and marking;
in this embodiment, it should be specifically described that the anomaly labeling unit takes 90 minutes as a monitoring period or other suitable time as a monitoring period, records the fault data generated by the target measurement and control device and the target data transmission device in the vehicle satellite ground station, and according to the time of generating the anomaly data, corresponds the processing record and the satellite communication data record to the corresponding fault problem, determines whether the fault data generated in the current monitoring period is a new fault, if so, labels the fault data as an anomaly label, and forms the generated anomaly label into an anomaly label database.
In this embodiment, the processing record and the satellite communication data record are corresponding to the corresponding fault problem according to the time of generating the abnormal data, and are labeled, so that the cause of the fault can be conveniently determined by checking the generated abnormal label in time when the abnormal label is generated, and if the generated fault is a new fault, the generated fault is labeled as the abnormal label, which is used as a factor for causing the fault of the target measurement and control device and the target data transmission device in the vehicle-mounted satellite ground station.
Measurement and control evaluation unit: the system is used for analyzing the running condition of the target measurement and control equipment, counting and analyzing data, summarizing the data to form a measurement and control evaluation coefficient, comparing the measurement and control evaluation coefficient with a preset measurement and control evaluation coefficient threshold, judging whether the measurement and control evaluation coefficient threshold is exceeded or not, and marking the abnormal factors of the measurement and control evaluation coefficient threshold;
in this embodiment, it should be specifically described that the measurement and control evaluation unit includes a measurement and control data acquisition module, a measurement and control evaluation module, and a measurement and control comparison module,
the measurement and control data acquisition module determines a measurement and control task set Ck, a shortest task duration Tr and a shortest task preparation duration Tz when the target measurement and control equipment performs multi-target satellite measurement and control, wherein the measurement and control task set Ck comprises an emergency task Cj and a conventional task Cg, is represented by CK { Cj, cg },
the measurement and control evaluation module normalizes the measurement and control task set, the shortest task duration Tr and the shortest task preparation duration Tz, and forms a measurement and control evaluation coefficient of the measurement and control equipment after the normalization is performed through a correlation model, and the expression of the measurement and control evaluation coefficient Cp is as follows:
wherein 0.ltoreq.ψ 1 ≤1，0≤ψ 2 ≤1，0≤ψ 3 Is less than or equal to 1 and is phi 1 +ψ 2 +ψ 3 ＝1.25，ψ 1 ＞ψ 2 ，
Wherein, psi 1, psi 2 and psi 3 are changeable influencing factors, which can be adjusted by users according to actual conditions or by computer fitting.
The measurement and control comparison module compares the measurement and control evaluation coefficient with a preset measurement and control evaluation coefficient threshold value, if the measurement and control evaluation coefficient is lower than the preset measurement and control evaluation coefficient threshold value, the target measurement and control equipment is judged to be temporarily abnormal, and if the measurement and control evaluation coefficient is higher than the preset measurement and control evaluation coefficient threshold value, whether the data in the sub-factors are abnormal or not is analyzed, and the abnormality is marked.
In the embodiment, the measurement and control task set of the measurement and control equipment, the shortest task duration time and the shortest task preparation time of each measurement and control task are obtained and synthesized, after the influence factors in the measurement and control task set and the shortest task preparation time are determined, whether the measurement and control data of the target measurement and control equipment are abnormal or not is comprehensively judged, and targeted processing of abnormal sub-factors is facilitated.
A data transmission evaluation unit: the system is used for analyzing the running condition of the target data transmission equipment, counting and analyzing data, summarizing the data transmission evaluation coefficient, comparing the data transmission evaluation coefficient with a preset data transmission evaluation coefficient threshold value, judging whether the data transmission evaluation coefficient threshold value exceeds the preset data transmission evaluation coefficient threshold value, and marking the abnormal factors of the data transmission evaluation coefficient;
in this embodiment, it should be specifically described that the data transmission evaluation unit includes a data transmission data acquisition module, a data transmission evaluation module, and a data transmission comparison module,
the data acquisition module acquires the transmission distance Sj and the transmission speed Sd of a data transmission task and determines the data transmission efficiency XL in a monitoring period when the target data transmission equipment carries out multi-target satellite data transmission, wherein the task completion degree is expressed as follows:
expressed as Rz, is the total number of data transfer tasks, expressed as zq is a monitoring period,
where zq=90 seconds,
the data transmission evaluation module normalizes the data transmission efficiency Xl, the transmission distance Sj and the transmission speed Sd, and forms a data transmission evaluation coefficient of the data transmission device after the normalization is performed through a correlation model, wherein the expression of the data transmission evaluation coefficient Sp is as follows:
in which 0 is less than or equal to theta 1 ≤1，0≤θ 2 ≤1，θ 1 +θ 2 ＝1，
Wherein θ 1 、θ 2 The influence factors can be changed by a user according to actual conditions or by computer fitting.
The data transmission comparison module compares the data transmission evaluation coefficient with a preset data transmission evaluation coefficient threshold value, if the data transmission evaluation coefficient is lower than the preset data transmission evaluation coefficient threshold value, the target measurement and control equipment is judged to be temporarily abnormal, and if the data transmission evaluation coefficient is higher than the preset data transmission evaluation coefficient threshold value, whether the data in the sub-factors are abnormal or not is analyzed, and the abnormality is marked.
In this embodiment, the data transmission efficiency, the transmission distance and the transmission speed of the target data transmission device are obtained and integrated, and after determining the influence factors therein, whether the target data transmission device has data abnormality is comprehensively judged, so that the abnormal sub-factors are conveniently and pointedly processed.
Comprehensive analysis unit: the method comprises the steps of correlating a measurement and control evaluation coefficient with a data transmission evaluation coefficient through a correlation analysis model to form a comprehensive data processing index;
in this embodiment, it should be specifically described that the comprehensive analysis unit equally divides the monitoring period along the direction of the time axis, and marks j=1, 2, 3..m-1, m to obtain measurement and control evaluation coefficients Cpm-1, cpm, and data transmission evaluation coefficients Spm-1, spm, respectively, and performs non-dimensional quantization processing on the obtained measurement and control evaluation coefficients and the obtained data transmission evaluation coefficients, and correlates the obtained measurement and control evaluation coefficients and the obtained data transmission evaluation coefficients through a correlation analysis model to form a comprehensive data processing index Zw, where the comprehensive data processing index Zw conforms to the following expression:
wherein, mu is more than or equal to 0 1 ≤1，0≤μ 2 Is less than or equal to 1 and mu 1 2 +μ 2 2 =1, where μ 1 To measure and control the evaluation coefficient, mu 2 And (3) carrying out data processing evaluation on the comprehensive satellite data of the vehicle-mounted satellite ground station by using Zw (C, S) through obtaining the weight factors of the data transmission evaluation coefficients by the correlation coefficients.
A data correction unit: the method comprises the steps of acquiring a comprehensive data processing index, determining the reason and correction factors of data processing abnormality, correcting abnormal data and uploading corrected data;
in this embodiment, it needs to be specifically described that the data correction unit obtains the integrated data processing index, compares the integrated data processing index with a preset integrated data processing index threshold, determines whether the preset integrated data processing index threshold is high, if the integrated data processing index threshold is not lower than the preset integrated data processing index threshold, indicates that there is a place to be corrected in the vehicle satellite ground station data processing, determines whether the measurement and control evaluation coefficient and the data transmission evaluation coefficient are abnormal, and if the measurement and control evaluation coefficient and the data transmission evaluation coefficient trace abnormal sub-factors through an abnormal mark and correct, the correction formula accords with the following expression:
and sigma is a correlation weight coefficient, is a correlation coefficient between target measurement and control equipment and target data transmission equipment, and is obtained by acquiring a plurality of groups of measurement and control evaluation coefficients and data transmission evaluation coefficient correlation analysis.
In this embodiment, after the correlation weight σ is obtained, the measurement and control evaluation coefficient and the data transmission evaluation coefficient are correlated to obtain the correction factor P, and by obtaining the correction factor P, an abnormality occurring in data processing of the target measurement and control device and the target data transmission device in the vehicle-mounted satellite ground station can be further corrected, so that the accuracy of data processing of the vehicle-mounted satellite ground station is improved.
Referring to fig. 1-2, the present embodiment provides a method for processing data based on multi-objective measurement and control, comprising the following steps:
step 100, monitoring target measurement and control equipment and target data transmission equipment in a vehicle-mounted satellite ground station in real time, acquiring a monitoring record in the monitoring period, and forming a monitoring record data table;
step 200, counting abnormal data in the monitoring period of the target measurement and control equipment and the target data transmission equipment, confirming the abnormal data and marking;
step 300, analyzing the running condition of the target measurement and control equipment, counting and analyzing data, summarizing to form a measurement and control evaluation coefficient, comparing the measurement and control evaluation coefficient with a preset measurement and control evaluation coefficient threshold value, judging whether the measurement and control evaluation coefficient threshold value exceeds the preset measurement and control evaluation coefficient threshold value, and marking the abnormal factors of the measurement and control evaluation coefficient;
step 400, analyzing the running condition of the target data transmission equipment, counting and analyzing data, summarizing to form a data transmission evaluation coefficient, comparing the data transmission evaluation coefficient with a preset data transmission evaluation coefficient threshold value, judging whether the data transmission evaluation coefficient threshold value exceeds the preset data transmission evaluation coefficient threshold value, and marking the abnormal factors of the data transmission evaluation coefficient;
step 500, correlating the measurement and control evaluation coefficient with the data transmission evaluation coefficient through a correlation analysis model to form a comprehensive data processing index;
step 600, acquiring a comprehensive data processing index, determining the reason and correction factors of data processing abnormality, correcting the abnormal data, and uploading the corrected data;
in summary, the invention has the following beneficial effects:
the processing records and the satellite communication data records are corresponding to the corresponding fault problems according to the time of generating the abnormal data by the vehicle-mounted satellite ground station, and are marked, so that the abnormal label can be timely checked according to the generated abnormal label when the abnormal label is generated, the cause of the fault is convenient to determine, and if the generated fault is a new fault, the generated fault is marked as the abnormal label and is used as a factor for causing the fault of the target measurement and control equipment and the target data transmission equipment in the vehicle-mounted satellite ground station.
The measurement and control task set of the measurement and control equipment, the shortest task duration and the shortest task preparation duration of each measurement and control task are obtained and synthesized, after the influence factors in the measurement and control task set and the shortest task preparation duration are determined, whether the measurement and control data of the target measurement and control equipment are abnormal or not is comprehensively judged, and targeted correction of abnormal sub-factors is facilitated.
The data transmission efficiency, the transmission distance and the transmission speed of the target data transmission equipment are obtained and integrated, and after the influence factors are determined, whether the target data transmission equipment has data abnormality or not is comprehensively judged, so that the abnormal sub-factors can be corrected in a targeted manner.
After the correlation weight sigma is obtained, the measurement and control evaluation coefficient and the data transmission evaluation coefficient are correlated to obtain a correction factor P, and the abnormality of the data processing of the target measurement and control equipment and the target data transmission equipment in the vehicle-mounted satellite ground station can be further corrected by obtaining the correction factor P, so that the accuracy of the data processing of the vehicle-mounted satellite ground station is improved.
It should be noted that the above-described working procedure is merely illustrative, and does not limit the scope of the present invention, and in practical application, a person skilled in the art may select part or all of them according to actual needs to achieve the purpose of the embodiment, which is not limited herein.
Other embodiments or specific implementations of a system and a method for processing data based on multi-objective measurement and control data may refer to the above method embodiments, and are not described herein.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (5)
1. The utility model provides a data processing system based on multi-objective measurement and control data transmission which characterized in that includes:
and a data monitoring unit: the method comprises the steps of monitoring target measurement and control equipment and target data transmission equipment in a vehicle-mounted satellite ground station in real time, obtaining a monitoring record in the monitoring period, and forming a monitoring record data table;
an anomaly labeling unit: the method comprises the steps of counting abnormal data in a monitoring period of target measurement and control equipment and target data transmission equipment, confirming the abnormal data and marking;
measurement and control evaluation unit: the system is used for analyzing the running condition of the target measurement and control equipment, counting and analyzing data, summarizing the data to form a measurement and control evaluation coefficient, comparing the measurement and control evaluation coefficient with a preset measurement and control evaluation coefficient threshold, judging whether the measurement and control evaluation coefficient threshold is exceeded or not, and marking the abnormal factors of the measurement and control evaluation coefficient threshold; the measurement and control evaluation unit comprises a measurement and control data acquisition module, a measurement and control evaluation module and a measurement and control comparison module, wherein the measurement and control data acquisition module determines a measurement and control task set Ck, a shortest task duration Tr and a shortest task preparation duration Tz when a target measurement and control device performs multi-target satellite measurement and control, the measurement and control task set Ck comprises an emergency task Cj and a conventional task Cg, the measurement and control task set Ck is represented by Ck { Cj and Cg }, the measurement and control evaluation module normalizes the measurement and control task set, the shortest task duration Tr and the shortest task preparation duration Tz, and a measurement and control evaluation coefficient of the measurement and control device is formed by a correlation model, and the expression of the measurement and control evaluation coefficient Cp is as follows:
wherein 0.ltoreq.ψ 1 ≤1，0≤ψ 2 ≤1，0≤ψ 3 Is less than or equal to 1 and is phi 1 +ψ 2 +ψ 3 ＝1.25，ψ 1 ＞ψ 2 Wherein, psi 1, psi 2 and psi 3 are changeable influencing factors, which are adjusted by a user according to actual conditions or by computer fitting;
the measurement and control comparison module compares the measurement and control evaluation coefficient with a preset measurement and control evaluation coefficient threshold value, if the measurement and control evaluation coefficient is lower than the preset measurement and control evaluation coefficient threshold value, the target measurement and control equipment is judged to be temporarily abnormal, if the measurement and control evaluation coefficient is higher than the preset measurement and control evaluation coefficient threshold value, whether the data is abnormal or not is analyzed, and the abnormality is marked;
a data transmission evaluation unit: the system is used for analyzing the running condition of the target data transmission equipment, counting and analyzing data, summarizing the data transmission evaluation coefficient, comparing the data transmission evaluation coefficient with a preset data transmission evaluation coefficient threshold value, judging whether the data transmission evaluation coefficient threshold value exceeds the preset data transmission evaluation coefficient threshold value, and marking the abnormal factors of the data transmission evaluation coefficient;
the data transmission evaluation unit comprises a data transmission data acquisition module,
the data acquisition module acquires the transmission distance Sj and the transmission speed Sd of a data transmission task and determines the data transmission efficiency XL in a monitoring period when the target data transmission equipment carries out multi-target satellite data transmission, wherein the data transmission efficiency is acquired by the following expression:
expressed as Rz, is the total number of data transfer tasks, expressed as Zq is a monitoring period,
where zq=90 seconds;
the data transmission evaluation unit also comprises a data transmission evaluation module and a data transmission comparison module,
the data transmission evaluation module normalizes the data transmission efficiency Xl, the transmission distance Sj and the transmission speed Sd, and forms a data transmission evaluation coefficient of the data transmission device through a correlation model, wherein the expression of the data transmission evaluation coefficient Sp is as follows:
in which 0 is less than or equal to theta 1 ≤1，0≤θ 2 ≤1，θ 1 +θ 2 ＝1，
Wherein θ 1 、θ 2 To change the influencing factors, the user can adjust the influencing factors according to actual conditions or adjust the influencing factors through computer fitting,
the data transmission comparison module compares the data transmission evaluation coefficient with a preset data transmission evaluation coefficient threshold value, if the data transmission evaluation coefficient is lower than the preset data transmission evaluation coefficient threshold value, the target measurement and control equipment is judged to be temporarily abnormal, if the data transmission evaluation coefficient is higher than the preset data transmission evaluation coefficient threshold value, whether the data is abnormal or not is analyzed, and the abnormality is marked;
comprehensive analysis unit: the method comprises the steps of correlating a measurement and control evaluation coefficient with a data transmission evaluation coefficient through a correlation analysis model to form a comprehensive data processing index;
the comprehensive analysis unit equally divides the monitoring period along the direction of the time axis and marks j=1, 2 and 3..m-1 and m to respectively obtain measurement and control evaluation coefficients Cpm-1 and Cpm and data transmission evaluation coefficients Spm-1 and Spm, the obtained measurement and control evaluation coefficients and the data transmission evaluation coefficients are subjected to dimensionless treatment, and are associated through a correlation analysis model to form a comprehensive data processing index Zw, wherein the comprehensive data processing index Zw accords with the following expression:
wherein, mu is more than or equal to 0 1 ≤1，0≤μ 2 Is less than or equal to 1 and mu 1 2 +μ 2 2 =1, where μ 1 To measure and control the weight factor of the evaluation coefficient, mu 2 The method comprises the steps that as a weight factor of a data transmission evaluation coefficient, the comprehensive satellite data of a vehicle-mounted satellite ground station is subjected to data processing evaluation by Zw (C, S) through a correlation coefficient;
a data correction unit: the method comprises the steps of acquiring a comprehensive data processing index, determining the reason and correction factors of data processing abnormality, correcting abnormal data and uploading corrected data;
the correction formula conforms to the following expression:
and sigma is a correlation weight coefficient, is a correlation coefficient between target measurement and control equipment and target data transmission equipment, and is obtained by acquiring a plurality of groups of measurement and control evaluation coefficients and data transmission evaluation coefficient correlation analysis.
2. The multi-target measurement and control based data processing system according to claim 1, wherein: the data monitoring unit acquires corresponding satellite communication data records of the measurement and control equipment and the data transmission equipment in the target vehicle-mounted satellite ground station, processes and records satellite communication data information of the target vehicle-mounted satellite ground station to form a processing record, acquires the processing record to form a data monitoring record data table, and uploads the data monitoring record data table to the memory for storage.
3. The multi-target measurement and control based data processing system according to claim 1, wherein: the anomaly labeling unit takes 90 minutes as a monitoring period, records fault data generated by target measurement and control equipment and target data transmission equipment in the vehicle-mounted satellite ground station, corresponds the processing record and satellite communication data record to corresponding fault problems according to the time of generating the anomaly data, judges whether the fault data generated in the monitoring period is a new fault or not, labels the fault data as an anomaly label if the fault data is the new fault, and forms an anomaly label database with the generated anomaly label.
4. The multi-target measurement and control based data processing system according to claim 1, wherein: the data correction unit obtains the comprehensive data processing index and compares the comprehensive data processing index with a preset comprehensive data processing index threshold value, judges whether the comprehensive data processing index is higher than the preset comprehensive data processing index threshold value, if the comprehensive data processing index is not lower than the preset comprehensive data processing index threshold value, the data processing of the vehicle-mounted satellite ground station is indicated to be in need of correction, judges whether the measurement and control evaluation coefficient and the data transmission evaluation coefficient are abnormal, and if the measurement and control evaluation coefficient and the data transmission evaluation coefficient are abnormal, the measurement and control evaluation coefficient and the data transmission evaluation coefficient trace abnormal sub-factors through an abnormal mark and correct the abnormal sub-factors.
5. A data processing method based on multi-target measurement and control data transmission comprises the following steps: a multi-objective measurement and control based data processing system according to any of the preceding claims 1-4, characterized in that: the method comprises the following steps:
step 100, monitoring target measurement and control equipment and target data transmission equipment in a satellite ground station in real time, obtaining a monitoring record in the monitoring period, and forming a monitoring record data table;
step 200, counting abnormal data in the monitoring period of the target measurement and control equipment and the target data transmission equipment, confirming the abnormal data and marking;
step 300, analyzing the running condition of the target measurement and control equipment, counting and analyzing data, summarizing to form a measurement and control evaluation coefficient, comparing the measurement and control evaluation coefficient with a preset measurement and control evaluation coefficient threshold value, judging whether the measurement and control evaluation coefficient threshold value exceeds the preset measurement and control evaluation coefficient threshold value, and marking the abnormal factors of the measurement and control evaluation coefficient;
step 400, analyzing the running condition of the target data transmission equipment, counting and analyzing data, summarizing to form a data transmission evaluation coefficient, comparing the data transmission evaluation coefficient with a preset data transmission evaluation coefficient threshold value, judging whether the data transmission evaluation coefficient threshold value exceeds the preset data transmission evaluation coefficient threshold value, and marking the abnormal factors of the data transmission evaluation coefficient;
step 500, correlating the measurement and control evaluation coefficient with the data transmission evaluation coefficient through a correlation analysis model to form a comprehensive data processing index;
step 600, acquiring a comprehensive data processing index, determining the reason and correction factor of the data processing abnormality, correcting the abnormal data, and uploading the corrected data.
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