CN117234138B - Digital twin control system for protecting space debris - Google Patents
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Abstract
The invention relates to the technical field of space garbage protection, in particular to a digital twin control system for space debris protection, which comprises a server, a virtual model unit, a self-checking evaluation unit, a risk processing unit, a matching analysis unit and an early warning management unit, wherein the server is used for processing the space debris; the invention can evaluate the threat of the target fragments by carrying out digital twin simulation on the known space environment, namely, whether the target fragments collide with the target aircraft or affect the realization of the normal functions of the spacecraft, and when the space fragments threaten the spacecraft, the damage degree of the target fragments to the target aircraft is known so as to reasonably carry out fragment processing, and the analysis is carried out by combining with information delay conditions so as to ensure the rationality of fragment processing decisions, and the reasonable and targeted processing is carried out on the target fragments according to different management grades so as to reduce the flight influence of the target fragments to the target aircraft, thereby being beneficial to improving the flight safety and stability of the target aircraft.
Description
Technical Field
The invention relates to the technical field of space garbage protection, in particular to a digital twin control system for space debris protection.
Background
The space debris is an artificial object in the space except the working spacecraft, and comprises debris generated in the launching process of a carrier rocket and the spacecraft, scrapped satellites, materials falling off from the surface of the spacecraft, solid and liquid materials leaked from the spacecraft, debris generated in the explosion and collision processes of the rocket and the spacecraft and the like; the number of spacecrafts on the current space orbit is increased, explosive growth situation is presented, the space garbage is obviously increased, and the threat of the space garbage to the spacecrafts and astronauts is increasingly obvious;
in order to prevent the threat of space debris, all the space authorities in the world monitor the space debris by various methods to obtain the information such as the size, the number, the weight, the orbit data and the like of the space debris for evaluating the threat and avoiding, however, in the prior art, in the process of protecting and monitoring the space debris, the threat level of the space debris cannot be evaluated at risk, so that the protection and management effects of a target aircraft are reduced, and the space debris cannot be reasonably and pertinently processed;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a digital twin control system for protecting space debris, which solves the technical defects, and the invention can evaluate the threat of the target debris by carrying out digital twin simulation on the known space environment, namely whether the target debris collides with a target aircraft or affects the realization of the normal function of the aircraft, and when the space debris threatens the aircraft, the damage degree of the target debris to the target aircraft is known, so that the debris treatment can be reasonably carried out, and the analysis is carried out by combining with information delay conditions, so as to ensure the rationality of the debris treatment decision, and the reasonable and targeted treatment is carried out on the target debris according to different management grades, so that the flight influence of the target debris to the target aircraft is reduced, and the flight safety and the flight stability of the target aircraft are further improved.
The aim of the invention can be achieved by the following technical scheme: a digital twin control system for protecting space debris comprises a server, a virtual model unit, a self-checking evaluation unit, a risk processing unit, a matching analysis unit and an early warning management unit;
when a server generates a management instruction, the management instruction is sent to a virtual model unit, the virtual model unit immediately acquires operation data of a target aircraft and hazard data of target fragments after receiving the management instruction, the operation data comprise a flight trajectory feature map and a flight speed of the target aircraft, the hazard data comprise a flight trajectory feature map, fragment sizes, fragment numbers and fragment volumes of the target fragments, digital twin body simulation operation is carried out on the operation data and the hazard data, and an obtained risk signal is sent to a self-checking evaluation unit;
the self-checking evaluation unit immediately acquires operation influence data of the monitoring equipment after receiving the risk signal, wherein the operation influence data comprises a state risk value and a transmission risk value, performs data effective risk evaluation analysis on the operation influence data, sends an obtained normal signal to the risk processing unit, and sends an obtained alarm signal to the early warning management unit through the virtual model unit;
the risk processing unit immediately collects working data of the fragment processing equipment after receiving the normal signal, wherein the working data comprises an operation influence value and an execution risk value, carries out fragment processing supervision evaluation analysis on the working data, sends the obtained abnormal signal to the early warning management unit, and sends the obtained hazard evaluation coefficient W to the matching analysis unit;
and the matching analysis unit immediately processes the hazard evaluation coefficient W, performs decision matching supervision analysis on the hazard evaluation coefficient W after receiving the hazard evaluation coefficient W, and sends the obtained primary management signal, secondary management signal and tertiary management signal to the early warning management unit through the risk processing unit.
Preferably, the digital twin simulation process of the virtual model unit is as follows:
acquiring the duration of the target aircraft running for a period of time, marking the duration as a time threshold, acquiring the running data of the target aircraft in the time threshold, constructing a digital twin body of the target aircraft according to the running data, acquiring the hazard data of the target fragments in the time threshold, constructing the digital twin body of the target fragments according to the hazard data, further acquiring a space relation simulation feature map of the target aircraft and the target fragments, and performing discriminant analysis on the space relation simulation feature map:
if the digital twin bodies of the target fragments in the spatial relationship simulation feature map influence the digital twin body flight of the target aircraft, and a risk signal is generated;
if the digital twin bodies of the target fragments in the spatial relationship simulation feature map do not influence the digital twin body flight of the target aircraft, no signal is generated.
Preferably, the data effective risk assessment analysis process of the self-checking assessment unit is as follows:
s1: acquiring a state risk value of monitoring equipment for data acquisition in a time threshold, wherein the state risk value represents the number of running characteristic data of the detection equipment and corresponding numerical values of influence parameter information exceeding a preset threshold, the running characteristic data comprises running current fluctuation times, a running voltage mean value and a running abnormal sound mean value, the influence parameter information comprises a line damaged area and an electromagnetic interference mean value, the state risk value is compared with a stored preset state risk value threshold for analysis, and if the state risk value is larger than the preset state risk value threshold, the part of the state risk value larger than the preset state risk value threshold is marked as a monitoring influence value;
s2: acquiring a transmission risk value of monitoring equipment for data acquisition in a time threshold, wherein the transmission risk value represents a product value obtained by carrying out data normalization processing on a part of which the transmission bandwidth is lower than a preset transmission bandwidth threshold and a transmission distance, comparing the transmission risk value with a stored preset transmission risk value threshold, and if the transmission risk value is greater than the preset transmission risk value threshold, marking a part of which the transmission risk value is greater than the preset transmission risk value threshold as a transmission interference value;
s3: comparing the monitoring influence value and the transmission interference value with a preset monitoring influence value threshold value and a preset transmission interference value threshold value which are recorded and stored in the monitoring influence value and the transmission interference value:
if the monitoring influence value is smaller than the preset monitoring influence value threshold value and the transmission interference value is smaller than the preset transmission interference value threshold value, generating a normal signal;
and if the monitoring influence value is greater than or equal to a preset monitoring influence value threshold or the transmission interference value is greater than or equal to a preset transmission interference value threshold, generating an alarm signal.
Preferably, the fragment processing supervision, evaluation and analysis process of the risk processing unit is as follows:
acquiring an operation influence value of the fragment processing equipment in the time threshold, wherein the operation influence value represents a product value obtained by carrying out data normalization processing on the part of the voltage fluctuation amplitude value exceeding the preset voltage fluctuation amplitude value threshold and the number of the voltage fluctuation amplitude value exceeding the preset voltage fluctuation amplitude value threshold in the operation voltage characteristic curve, meanwhile, acquiring an execution risk value of the fragment processing equipment in the time threshold, wherein the execution risk value represents a ratio between the part of the fragment processing equipment, which is in a period from the moment of starting to finish executing a specified action and exceeds the preset time threshold, and further marking the product value obtained by carrying out data normalization processing on the operation influence value and the execution risk value as a work influence value, and comparing the work influence value with the preset work influence value threshold recorded and stored in the work influence value:
if the ratio between the work influence value and the preset work influence value threshold is greater than or equal to 1, generating an abnormal signal;
and if the ratio between the work influence value and the preset work influence value threshold is smaller than 1, generating a feedback instruction.
Preferably, when the risk processing unit generates a feedback instruction:
obtaining a fragment influence value in a time threshold, wherein the fragment influence value represents the number of the corresponding data in the hazard data exceeding a preset threshold, and simultaneously, the monitoring influence value and the transmission interference value are called from a self-checking evaluation unit, so that the working influence value, the fragment influence value, the monitoring influence value and the transmission interference value are respectively marked as GY, SY, JY and CY;
according to the formulaObtaining a hazard evaluation coefficient, wherein a1, a2, a3 and a4 are respectively preset scale factor coefficients of a work influence value, a fragment influence value, a monitoring influence value and a transmission interference value, a1, a2, a3 and a4 are positive numbers larger than zero, a5 is a preset correction factor coefficient, the value is 1.223, and W is the hazard evaluation coefficient.
Preferably, the process decision matching supervision analysis process of the matching analysis unit is as follows:
SS1: obtaining an information circulation value of a target aircraft in a time threshold, wherein the information circulation value represents a product value obtained by carrying out data normalization processing on the time length of the target aircraft when the target aircraft is put into service and the number of faults in the time length of the target aircraft when the target aircraft is put into service, carrying out data normalization processing on the product value obtained by carrying out data normalization processing on the product value and the number of times corresponding to the information transmission time length exceeding a preset information transmission time length threshold in the information flow number, comparing the information circulation value with a stored preset information circulation value threshold, and marking a part corresponding to the information circulation value larger than the preset information circulation value threshold as an information delay value XX if the information circulation value is larger than the preset information circulation value threshold;
SS2: according to the formulaObtaining management matching evaluation coefficients, wherein f1 and f2 are preset weight factor coefficients of a hazard evaluation coefficient and an information delay value respectively, f1 and f2 are positive numbers larger than zero, f3 is a preset fault tolerance factor coefficient, the value is 1.228, G is the management matching evaluation coefficient, and the management matching evaluation coefficient G is compared with a preset management matching evaluation coefficient interval recorded and stored in the management matching evaluation coefficient G:
if the management matching evaluation coefficient G is larger than the maximum value in the preset management matching evaluation coefficient interval, generating a first-level management signal;
if the management matching evaluation coefficient G belongs to a preset management matching evaluation coefficient interval, generating a secondary management signal;
and if the management matching evaluation coefficient G is smaller than the minimum value in the preset management matching evaluation coefficient interval, generating a three-level management signal.
The beneficial effects of the invention are as follows:
according to the invention, through digital twin simulation of the known space environment, the threat of the target fragments can be evaluated, namely whether the target fragments collide with the target aircraft or affect the realization of the normal functions of the spacecraft, and when the space fragments threaten the spacecraft, the damage degree of the target fragments to the target aircraft is known, so that the fragment processing is reasonably performed, the analysis is performed in combination with the information delay condition, so that the rationality of the fragment processing decision is ensured, and the target fragments are reasonably and pointedly processed according to different management grades, so that the flight influence of the target fragments to the target aircraft is reduced, and further the improvement of the flight safety and stability of the target aircraft is facilitated;
according to the invention, the monitoring equipment for data acquisition is monitored, so that the effectiveness of the acquired data is judged, the accuracy of an analysis result is improved, the efficiency of fragment processing is ensured, and on the premise that the data is effective, the working data of the fragment processing equipment is subjected to fragment processing monitoring, evaluating and analyzing to ensure the effect of the fragment processing equipment on fragment processing, and the safety and the fragment protection effect of the target aircraft are improved.
Drawings
The invention is further described below with reference to the accompanying drawings;
FIG. 1 is a flow chart of the system of the present invention;
fig. 2 is a partial analysis reference diagram 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.
Examples
Referring to fig. 1 to 2, the present invention is a digital twin control system for protecting space debris, which includes a server, a virtual model unit, a self-checking evaluation unit, a risk processing unit, a matching analysis unit and an early warning management unit, wherein the server is in one-way communication connection with the virtual model unit, the virtual model unit is in two-way communication connection with the self-checking evaluation unit, the virtual model unit is in one-way communication connection with the early warning management unit, the self-checking evaluation unit is in one-way communication connection with the risk processing unit, the risk processing unit is in one-way communication connection with the early warning management unit, and the risk processing unit is in two-way communication connection with the matching analysis unit;
when the server generates a management command, the management command is sent to the virtual model unit, the virtual model unit immediately acquires operation data of the target aircraft and hazard data of target fragments after receiving the management command, wherein the operation data comprises a flight trajectory feature map and flight speeds of the target aircraft, the hazard data comprises a flight trajectory feature map, fragment sizes, fragment numbers, fragment volumes and the like of the target fragments, and digital twin body simulation operation is carried out on the operation data and the hazard data so as to obtain digital twin bodies and spatial relations of the target aircraft and the target fragments, so that the relation between the two is intuitively known, and meanwhile reasonable management decisions are conveniently made, and the specific digital twin body simulation process is as follows:
acquiring the duration of the target aircraft running for a period of time, marking the duration as a time threshold, acquiring the running data of the target aircraft in the time threshold, constructing a digital twin body of the target aircraft according to the running data, acquiring the hazard data of the target fragments in the time threshold, constructing the digital twin body of the target fragments according to the hazard data, further acquiring a space relation simulation feature map of the target aircraft and the target fragments, and performing discriminant analysis on the space relation simulation feature map:
if the digital twin bodies of the target fragments in the spatial relationship simulation feature map influence the digital twin body flight of the target aircraft, generating a risk signal, and transmitting the risk signal to a self-checking evaluation unit;
if the digital twin bodies of the target fragments in the spatial relationship simulation feature map do not influence the digital twin body flight of the target aircraft, and no signal is generated;
the self-checking evaluation unit immediately collects operation influence data of the monitoring equipment after receiving the risk signal, wherein the operation influence data comprises a state risk value and a transmission risk value, and performs data effective risk evaluation analysis on the operation influence data, so that the effectiveness of the collected data is judged on one hand, the accuracy of an analysis result is improved on the other hand, the efficiency of fragment processing is ensured, and the specific data effective risk evaluation analysis process is as follows:
acquiring a state risk value of monitoring equipment for data acquisition in a time threshold, wherein the state risk value represents the number of running characteristic data of the detection equipment and corresponding numerical values of influence parameter information exceeding a preset threshold, the running characteristic data comprises running current fluctuation times, a running voltage mean value, a running abnormal sound mean value and the like, the influence parameter information comprises a line damaged area, an electromagnetic interference mean value and the like, the state risk value is compared with a stored preset state risk value threshold for analysis, if the state risk value is larger than the preset state risk value threshold, a part of the state risk value larger than the preset state risk value threshold is marked as a monitoring influence value, and the larger the numerical value of the monitoring influence value is, the larger the monitoring abnormal risk of the monitoring equipment is, and the larger the data failure risk is;
acquiring a transmission risk value of monitoring equipment for data acquisition in a time threshold, wherein the transmission risk value represents a product value obtained by carrying out data normalization processing on a part of which the transmission bandwidth is lower than a preset transmission bandwidth threshold and a transmission distance, comparing the transmission risk value with a stored preset transmission risk value threshold, and if the transmission risk value is greater than the preset transmission risk value threshold, marking a part of which the transmission risk value is greater than the preset transmission risk value threshold as a transmission interference value, wherein the larger the value of the transmission interference value is, the larger the monitoring abnormal risk of the monitoring equipment is, and the larger the data failure risk is;
comparing the monitoring influence value and the transmission interference value with a preset monitoring influence value threshold value and a preset transmission interference value threshold value which are recorded and stored in the monitoring influence value and the transmission interference value:
if the monitoring influence value is smaller than a preset monitoring influence value threshold value and the transmission interference value is smaller than a preset transmission interference value threshold value, generating a normal signal and sending the normal signal to the risk processing unit;
if the monitoring influence value is greater than or equal to a preset monitoring influence value threshold value or the transmission interference value is greater than or equal to a preset transmission interference value threshold value, generating an alarm signal, sending the alarm signal to an early warning management unit through a virtual model unit, and immediately displaying preset early warning characters corresponding to the alarm signal by the early warning management unit after receiving the alarm signal, so that monitoring equipment is maintained and managed or replaced in a monitoring mode in time, the operation safety of a target aircraft is improved, and meanwhile, the flight monitoring effect is improved;
the risk processing unit immediately acquires working data of the fragment processing equipment after receiving the normal signal, wherein the working data comprises an operation influence value and an execution risk value, and carries out fragment processing supervision, evaluation and analysis on the working data so as to know the damage degree of target fragments to the target aircraft, so that fragment processing can be reasonably carried out, and the specific fragment processing supervision, evaluation and analysis process is as follows:
acquiring an operation influence value of the fragment processing equipment in the time threshold, wherein the operation influence value represents a product value obtained by carrying out data normalization processing on a part of the voltage fluctuation amplitude value exceeding a preset voltage fluctuation amplitude value threshold and the number of the voltage fluctuation amplitude value exceeding the preset voltage fluctuation amplitude value threshold in an operation voltage characteristic curve, and acquiring an execution risk value of the fragment processing equipment in the time threshold, wherein the execution risk value represents a ratio between a part of the fragment processing equipment, which is in a period from the moment when the fragment processing equipment starts to execute a specified action to the moment when the fragment processing equipment finishes executing the specified action, exceeding the preset time threshold and the preset time threshold, and further marking the product value obtained by carrying out data normalization processing on the operation influence value and the execution risk value as a work influence value, and the fact that the larger the numerical value of the work influence value is, the greater the abnormal risk of the operation of the fragment processing equipment is, and comparing the work influence value with the preset work influence value threshold stored in the fragment processing equipment is analyzed:
if the ratio between the work influence value and the preset work influence value threshold is greater than or equal to 1, generating an abnormal signal, and sending the abnormal signal to an early warning management unit, wherein the early warning management unit immediately displays preset early warning characters corresponding to the abnormal signal after receiving the abnormal signal, so that the fragment processing equipment can be adjusted in time, and the operation safety and the fragment processing effect of the fragment processing equipment are ensured;
if the ratio between the working influence value and the preset working influence value threshold is smaller than 1, generating a feedback instruction, immediately acquiring a fragment influence value in a time threshold when the feedback instruction is generated, wherein the fragment influence value represents the number corresponding to the data exceeding the preset threshold in the hazard data, and simultaneously, calling the monitoring influence value and the transmission interference value from the self-checking evaluation unit, so that the working influence value, the fragment influence value, the monitoring influence value and the transmission interference value are respectively marked as GY, SY, JY and CY;
according to the formulaObtaining a hazard evaluation coefficient, wherein a1, a2, a3 and a4 are respectively preset scale factor coefficients of a working influence value, a fragment influence value, a monitoring influence value and a transmission interference value, the scale factor coefficients are used for correcting deviation of various parameters in a formula calculation process, so that calculation results are more accurate, a1, a2, a3 and a4 are positive numbers larger than zero, a5 is a preset correction factor coefficient, the value is 1.223, W is the hazard evaluation coefficient, and the hazard evaluation coefficient W is sent to a matching analysis unit;
the matching analysis unit immediately processes the hazard evaluation coefficient W after receiving the hazard evaluation coefficient W so as to reasonably and pertinently process the target fragments to reduce the influence of the target fragments on the target aircraft, and the specific process of processing the decision matching supervision analysis is as follows:
obtaining an information circulation value of a target aircraft in a time threshold, wherein the information circulation value represents a product value obtained by carrying out data normalization processing on the time length of the input use of the target aircraft and the number of faults in the time length of the input use, carrying out data normalization processing on the product value obtained by carrying out data normalization processing on the time length of the information transmission in the information circulation times and the number corresponding to the time length exceeding a preset information transmission time length threshold, comparing the information circulation value with a stored preset information circulation value threshold, and analyzing the product value, wherein if the information circulation value is larger than the preset information circulation value threshold, a part corresponding to the information circulation value larger than the preset information circulation value threshold is marked as an information delay value XX, and the larger the value of the information delay value XX is, the larger the information flow delay risk of the target aircraft is, and the larger the interference risk caused to the decision matching degree of fragment processing is needed;
according to the formulaObtaining management matching evaluation coefficients, wherein f1 and f2 are preset weight factor coefficients of a hazard evaluation coefficient and an information delay value respectively, f1 and f2 are positive numbers larger than zero, f3 is a preset fault tolerance factor coefficient, the value is 1.228, G is the management matching evaluation coefficient, and the management matching evaluation coefficient G is compared with a preset management matching evaluation coefficient interval recorded and stored in the management matching evaluation coefficient G:
if the management matching evaluation coefficient G is larger than the maximum value in the preset management matching evaluation coefficient interval, generating a first-level management signal;
if the management matching evaluation coefficient G belongs to a preset management matching evaluation coefficient interval, generating a secondary management signal;
if the management matching evaluation coefficient G is smaller than the minimum value in the preset management matching evaluation coefficient interval, three-level management signals are generated, wherein the management degrees corresponding to the first-level management signals, the second-level management signals and the third-level management signals are sequentially reduced, the first-level management signals, the second-level management signals and the third-level management signals are sent to an early warning management unit through a risk processing unit, and the early warning management unit immediately displays preset early warning characters corresponding to the first-level management signals, the second-level management signals and the third-level management signals after receiving the first-level management signals, the second-level management signals and the third-level management signals, so that the target fragments are reasonably and pointedly processed according to different management levels, the flight influence of the target fragments on the target aircraft is reduced, the improvement of the flight safety and the stability of the target aircraft is facilitated, and the processing effect of the target fragments is improved;
in summary, the method and the device can evaluate the threat of the target fragments by carrying out digital twin simulation on the known space environment, namely, whether the target fragments collide with the target aircraft or affect the realization of the normal functions of the spacecraft, and when the space fragments threaten the spacecraft, the damage degree of the target fragments to the target aircraft is known, so that the fragment processing is reasonably carried out, and the analysis is carried out by combining with information delay conditions, so as to ensure the rationality of the fragment processing decision, and the reasonable and targeted processing is carried out on the target fragments according to different management grades, so as to reduce the flight influence of the target fragments on the target aircraft, further help to improve the flight safety and stability of the target aircraft, and in addition, the monitoring equipment for data acquisition is monitored, on one hand, help to judge the validity of the acquired data, and on the other hand help to improve the accuracy of analysis results, so as to ensure the efficiency of the fragment processing, and on the premise that the data are valid, the working data of the fragment processing equipment is carried out on the supervision and evaluation analysis so as to ensure the effect of the fragment processing equipment on the fragment processing to improve the safety and the protection effect of the target fragments.
The size of the threshold is set for ease of comparison, and regarding the size of the threshold, the number of cardinalities is set for each set of sample data depending on how many sample data are and the person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
The above formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and coefficients in the formulas are set by a person skilled in the art according to practical situations, and the above is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is within the technical scope of the present invention, and the technical scheme and the inventive concept according to the present invention are equivalent to or changed and are all covered in the protection scope of the present invention.
Claims (3)
1. The digital twin control system for protecting space debris is characterized by comprising a server, a virtual model unit, a self-checking evaluation unit, a risk processing unit, a matching analysis unit and an early warning management unit;
when a server generates a management instruction, the management instruction is sent to a virtual model unit, the virtual model unit immediately acquires operation data of a target aircraft and hazard data of target fragments after receiving the management instruction, the operation data comprise a flight trajectory feature map and a flight speed of the target aircraft, the hazard data comprise a flight trajectory feature map, fragment sizes, fragment numbers and fragment volumes of the target fragments, digital twin body simulation operation is carried out on the operation data and the hazard data, and an obtained risk signal is sent to a self-checking evaluation unit;
the self-checking evaluation unit immediately acquires operation influence data of the monitoring equipment after receiving the risk signal, wherein the operation influence data comprises a state risk value and a transmission risk value, performs data effective risk evaluation analysis on the operation influence data, sends an obtained normal signal to the risk processing unit, and sends an obtained alarm signal to the early warning management unit through the virtual model unit;
the risk processing unit immediately collects working data of the fragment processing equipment after receiving the normal signal, wherein the working data comprises an operation influence value and an execution risk value, carries out fragment processing supervision evaluation analysis on the working data, sends the obtained abnormal signal to the early warning management unit, and sends the obtained hazard evaluation coefficient W to the matching analysis unit;
the matching analysis unit immediately processes the hazard evaluation coefficient W, performs decision matching supervision analysis on the hazard evaluation coefficient W after receiving the hazard evaluation coefficient W, and sends the obtained primary management signal, secondary management signal and tertiary management signal to the early warning management unit through the risk processing unit;
the fragment processing supervision, evaluation and analysis process of the risk processing unit is as follows:
acquiring an operation influence value of the fragment processing equipment in the time threshold, wherein the operation influence value represents a product value obtained by carrying out data normalization processing on the part of the voltage fluctuation amplitude value exceeding the preset voltage fluctuation amplitude value threshold and the number of the voltage fluctuation amplitude value exceeding the preset voltage fluctuation amplitude value threshold in the operation voltage characteristic curve, meanwhile, acquiring an execution risk value of the fragment processing equipment in the time threshold, wherein the execution risk value represents a ratio between the part of the fragment processing equipment, which is in a period from the moment of starting to finish executing a specified action and exceeds the preset time threshold, and further marking the product value obtained by carrying out data normalization processing on the operation influence value and the execution risk value as a work influence value, and comparing the work influence value with the preset work influence value threshold recorded and stored in the work influence value:
if the ratio between the work influence value and the preset work influence value threshold is greater than or equal to 1, generating an abnormal signal;
if the ratio between the work influence value and the preset work influence value threshold is smaller than 1, generating a feedback instruction;
when the risk processing unit generates a feedback instruction:
obtaining a fragment influence value in a time threshold, wherein the fragment influence value represents the number of the corresponding data in the hazard data exceeding a preset threshold, and simultaneously, the monitoring influence value and the transmission interference value are called from a self-checking evaluation unit, so that the working influence value, the fragment influence value, the monitoring influence value and the transmission interference value are respectively marked as GY, SY, JY and CY;
according to the formulaObtaining a hazard evaluation coefficient, wherein a1, a2, a3 and a4 are respectively a preset scale factor coefficient of a work influence value, a fragment influence value, a monitoring influence value and a transmission interference value, a1, a2, a3 and a4 are positive numbers larger than zero, a5 is a preset correction factor coefficient, the value is 1.223, and W is the hazard evaluation coefficient;
the processing decision matching supervision analysis process of the matching analysis unit is as follows:
SS1: obtaining an information circulation value of a target aircraft in a time threshold, wherein the information circulation value represents a product value obtained by carrying out data normalization processing on the time length of the target aircraft when the target aircraft is put into service and the number of faults in the time length of the target aircraft when the target aircraft is put into service, carrying out data normalization processing on the product value obtained by carrying out data normalization processing on the product value and the number of times corresponding to the information transmission time length exceeding a preset information transmission time length threshold in the information flow number, comparing the information circulation value with a stored preset information circulation value threshold, and marking a part corresponding to the information circulation value larger than the preset information circulation value threshold as an information delay value XX if the information circulation value is larger than the preset information circulation value threshold;
SS2: according to the formulaObtaining management matching evaluation coefficients, wherein f1 and f2 are preset weight factor coefficients of a hazard evaluation coefficient and an information delay value respectively, f1 and f2 are positive numbers larger than zero, f3 is a preset fault tolerance factor coefficient, the value is 1.228, G is the management matching evaluation coefficient, and the management matching evaluation coefficient G is compared with a preset management matching evaluation coefficient interval recorded and stored in the management matching evaluation coefficient G:
if the management matching evaluation coefficient G is larger than the maximum value in the preset management matching evaluation coefficient interval, generating a first-level management signal;
if the management matching evaluation coefficient G belongs to a preset management matching evaluation coefficient interval, generating a secondary management signal;
and if the management matching evaluation coefficient G is smaller than the minimum value in the preset management matching evaluation coefficient interval, generating a three-level management signal.
2. A digital twin control system for space debris protection as defined in claim 1, wherein the digital twin simulation process of the virtual model unit is as follows:
acquiring the duration of the target aircraft running for a period of time, marking the duration as a time threshold, acquiring the running data of the target aircraft in the time threshold, constructing a digital twin body of the target aircraft according to the running data, acquiring the hazard data of the target fragments in the time threshold, constructing the digital twin body of the target fragments according to the hazard data, further acquiring a space relation simulation feature map of the target aircraft and the target fragments, and performing discriminant analysis on the space relation simulation feature map:
if the digital twin bodies of the target fragments in the spatial relationship simulation feature map influence the digital twin body flight of the target aircraft, and a risk signal is generated;
if the digital twin bodies of the target fragments in the spatial relationship simulation feature map do not influence the digital twin body flight of the target aircraft, no signal is generated.
3. A space debris shield digital twin control system according to claim 1, wherein the data effective risk assessment analysis process of the self-checking assessment unit is as follows:
s1: acquiring a state risk value of monitoring equipment for data acquisition in a time threshold, wherein the state risk value represents the number of running characteristic data of the detection equipment and corresponding numerical values of influence parameter information exceeding a preset threshold, the running characteristic data comprises running current fluctuation times, a running voltage mean value and a running abnormal sound mean value, the influence parameter information comprises a line damaged area and an electromagnetic interference mean value, the state risk value is compared with a stored preset state risk value threshold for analysis, and if the state risk value is larger than the preset state risk value threshold, the part of the state risk value larger than the preset state risk value threshold is marked as a monitoring influence value;
s2: acquiring a transmission risk value of monitoring equipment for data acquisition in a time threshold, wherein the transmission risk value represents a product value obtained by carrying out data normalization processing on a part of which the transmission bandwidth is lower than a preset transmission bandwidth threshold and a transmission distance, comparing the transmission risk value with a stored preset transmission risk value threshold, and if the transmission risk value is greater than the preset transmission risk value threshold, marking a part of which the transmission risk value is greater than the preset transmission risk value threshold as a transmission interference value;
s3: comparing the monitoring influence value and the transmission interference value with a preset monitoring influence value threshold value and a preset transmission interference value threshold value which are recorded and stored in the monitoring influence value and the transmission interference value:
if the monitoring influence value is smaller than the preset monitoring influence value threshold value and the transmission interference value is smaller than the preset transmission interference value threshold value, generating a normal signal;
and if the monitoring influence value is greater than or equal to a preset monitoring influence value threshold or the transmission interference value is greater than or equal to a preset transmission interference value threshold, generating an alarm signal.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106600107A (en) * | 2016-11-14 | 2017-04-26 | 中国西安卫星测控中心 | Spacecraft collision risk assessment method |
| EP3421935A1 (en) * | 2017-06-28 | 2019-01-02 | GE Aviation Systems LLC | Apparatus and method for generating flight path parameters using an improved engine load model |
| CN110738426A (en) * | 2019-10-18 | 2020-01-31 | 北京理工大学 | Digital twin control method and protection system for protecting space debris |
| CN114021248A (en) * | 2021-10-27 | 2022-02-08 | 中国运载火箭技术研究院 | Aerospace vehicle space debris impact risk determination method |
| CN114715436A (en) * | 2022-03-30 | 2022-07-08 | 西安中科天塔科技股份有限公司 | Spacecraft collision early warning method and device, control equipment and storage medium |
| CN115600407A (en) * | 2022-10-20 | 2023-01-13 | 北京开运联合信息技术集团股份有限公司（Cn） | Space target collision early warning method based on optical observation |
| CN116029130A (en) * | 2023-01-09 | 2023-04-28 | 中国民航大学 | Commercial aerospace accident risk level assessment method |
| CN116822100A (en) * | 2023-08-31 | 2023-09-29 | 西北工业大学太仓长三角研究院 | Digital twin modeling method and simulation test system thereof |
-
2023
- 2023-11-10 CN CN202311492882.3A patent/CN117234138B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106600107A (en) * | 2016-11-14 | 2017-04-26 | 中国西安卫星测控中心 | Spacecraft collision risk assessment method |
| EP3421935A1 (en) * | 2017-06-28 | 2019-01-02 | GE Aviation Systems LLC | Apparatus and method for generating flight path parameters using an improved engine load model |
| CN110738426A (en) * | 2019-10-18 | 2020-01-31 | 北京理工大学 | Digital twin control method and protection system for protecting space debris |
| CN114021248A (en) * | 2021-10-27 | 2022-02-08 | 中国运载火箭技术研究院 | Aerospace vehicle space debris impact risk determination method |
| CN114715436A (en) * | 2022-03-30 | 2022-07-08 | 西安中科天塔科技股份有限公司 | Spacecraft collision early warning method and device, control equipment and storage medium |
| CN115600407A (en) * | 2022-10-20 | 2023-01-13 | 北京开运联合信息技术集团股份有限公司（Cn） | Space target collision early warning method based on optical observation |
| CN116029130A (en) * | 2023-01-09 | 2023-04-28 | 中国民航大学 | Commercial aerospace accident risk level assessment method |
| CN116822100A (en) * | 2023-08-31 | 2023-09-29 | 西北工业大学太仓长三角研究院 | Digital twin modeling method and simulation test system thereof |
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