CN112183921A - Monitoring task planning method and system for remote sensing satellite networking - Google Patents
Monitoring task planning method and system for remote sensing satellite networking Download PDFInfo
- Publication number
- CN112183921A CN112183921A CN202010846391.4A CN202010846391A CN112183921A CN 112183921 A CN112183921 A CN 112183921A CN 202010846391 A CN202010846391 A CN 202010846391A CN 112183921 A CN112183921 A CN 112183921A
- Authority
- CN
- China
- Prior art keywords
- satellite
- networking scheme
- target area
- satellite networking
- networking
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000006855 networking Effects 0.000 title claims abstract description 180
- 238000012544 monitoring process Methods 0.000 title claims abstract description 107
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000011158 quantitative evaluation Methods 0.000 claims abstract description 9
- 238000003384 imaging method Methods 0.000 claims description 34
- 238000004364 calculation method Methods 0.000 claims description 15
- 238000012163 sequencing technique Methods 0.000 claims description 10
- 238000011156 evaluation Methods 0.000 claims description 9
- 238000010276 construction Methods 0.000 claims description 5
- 238000012216 screening Methods 0.000 claims description 3
- 230000004044 response Effects 0.000 abstract description 6
- 238000005457 optimization Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 9
- 230000005540 biological transmission Effects 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 238000003860 storage Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 238000011160 research Methods 0.000 description 4
- 238000004088 simulation Methods 0.000 description 4
- 238000011234 economic evaluation Methods 0.000 description 3
- 238000005265 energy consumption Methods 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000011002 quantification Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000002146 bilateral effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 238000012876 topography Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Alarm Systems (AREA)
Abstract
The invention discloses a method and a system for planning monitoring tasks of remote sensing satellite networking, wherein the method comprises the following steps: constructing a monitoring task based on satellite parameters, a target area and monitoring time, and determining a satellite set for monitoring based on the monitoring task; in the satellite set, determining a plurality of satellite networking schemes based on the coverage of each satellite on the target area and the coverage overlapping degree of different satellites on the target area; and carrying out quantitative evaluation on the multiple satellite networking schemes based on different requirements, and respectively obtaining the optimal satellite networking scheme corresponding to each requirement. According to the invention, the corresponding optimal satellite networking scheme is provided for the constructed monitoring task according to the requirement, so that the emergency response requirement can be met, the networking planning is carried out by taking the constructed monitoring task as the constraint, the requirements of users in different industries are met, and various optimization schemes are provided for the users to select.
Description
Technical Field
The invention relates to the technical field of remote sensing, in particular to a monitoring task planning method and system for remote sensing satellite networking.
Background
In order to achieve the purpose of full coverage of the power grid, the power grid gradually has the characteristics of large span and wide distribution, the terrain and the topography along the way are complex, and more power transmission lines are built in the complex environments such as unmanned areas. In recent years, the extreme climatic phenomena have increased. The power transmission line is influenced by natural disasters, and the hidden danger of the channel environment caused by natural disasters such as geological disasters, strong wind, mountain fire, thunder and lightning, typhoon and the like is obviously increased. At present, ground manual and on-line monitoring and aviation means are greatly restricted by environmental conditions, inherent bottlenecks exist in the aspects of reliability, operation efficiency and the like, and urgent requirements of power grid natural disaster monitoring and early warning of large-range power grid full coverage, normalization and high frequency of a power company are difficult to meet.
The satellite remote sensing (meteorological) technology has the characteristics of wide coverage, stable updating period, less restriction by environmental conditions and lower cost, and is particularly suitable for monitoring and early warning of natural disasters in a wide area. However, the current data sources for power applications are not sufficient. The order conflict exists in domestic and foreign commercial satellite remote sensing resources, and the requirement of multi-scene disaster monitoring and early warning in the power industry cannot be met by depending on the existing social satellite resources. Such as: the emergency response of the power transmission line in a specific area needs to be carried out after flood or strong snowfall, the existing social satellite resources are adopted at present, the data can be obtained within 48-72 hours, and the emergency response requirement of the power production department within 24 hours cannot be met. Therefore, the research of the special power satellite is developed, particularly the planning research of the networking monitoring task of the special remote sensing satellite for the power grid is carried out, the emergency response capability is improved, and the method has great significance for the construction of a three-dimensional intelligent inspection system of a power company, disaster early warning and emergency response.
The remote sensing satellite mission planning aims to complete monitoring imaging of a specified area by adopting loads of a specific type and resolution within a specified time. In recent years, a great deal of research is carried out on remote sensing satellite mission planning technology, but for a specific satellite, the related research is carried out on the specific satellite by taking the running track, the yaw capacity and the like of the specific satellite into consideration and aiming at the lowest energy consumption, and the remote sensing satellite mission planning technology is more applied to the aspect of mission planning of a ground satellite center on the satellite. The remote sensing satellite is limited by storage capacity, load on/off and data transmission capacity, shooting and imaging on the ground cannot be kept all the time, the data acquisition capacity of a single satellite is limited, coverage of a monitoring area cannot be completed within required time, and a monitoring task can be completed only by cooperative networking of a plurality of satellites. For application requirements of different civil industries, more consideration is generally given to how to acquire remote sensing satellite data meeting the requirements in the most economical mode and how to acquire effective data quickly in an emergency. The inventor provides a monitoring task planning method for power grid special remote sensing satellite networking aiming at the problem that the current single remote sensing satellite cannot effectively meet the monitoring task.
The patent CN109239735 closest to the present invention is a cooperative observation method of virtual constellation, which includes: receiving a request of an observation target area from a user, and decomposing a task by a virtual constellation according to observation task request information to form a meta task; performing task and resource bilateral matching according to the meta-task information, the information participating in planning of the satellite and the data transmission resource information to form an observation task pre-allocation scheme; the virtual constellation distributes an observation task pre-allocation scheme to a satellite center participating in planning through a negotiation mechanism, and the satellite center plans a satellite task according to the observation task pre-allocation scheme and the current satellite resource capacity to determine satellite observation and data transmission actions; generating a load control instruction according to a task planning result, sending the load instruction to an earth observation satellite through ground measurement and control equipment, executing a corresponding instruction to the earth observation satellite to carry out observation and data transmission, and sending obtained observation data to ground receiving equipment; the virtual constellation processes the data transmitted by each center and sends the processed data to the user.
The other closer invention patent CN110175418A simulation satellite earth observation task planning method provides a set of complete simulation optical satellite task planning method, can efficiently realize the task planning of a single visible light satellite, and generates a satellite working plan, a task observation scheme and a data receiving plan. The input information comprises satellite data, task data, ground station data and time data, and comprises a low-orbit satellite orbit calculation module, a ground target access calculation module, a ground station receiving, forecasting and calculating module and a single-satellite task planning module, and the simulation requirements of typical satellite application in the simulation application field are basically met.
However, the prior art has the following three problems: (1) the satellite task planning technology plans for a single satellite, and the coverage and the monitoring period can not meet the task requirement; (2) the satellite task planning method is mostly applied to a ground satellite center, the constraint condition is mainly based on the minimum energy consumption, the satellite storage capacity is considered, the economic evaluation on the remote sensing data acquisition is insufficient, and the economic requirement of an industrial user cannot be met; (3) the evaluation of the satellite networking scheme is insufficient, different schemes cannot be quantitatively compared, and the most appropriate data acquisition scheme cannot be provided according to the user requirements.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a monitoring task planning method for remote sensing satellite networking, which comprises the following steps:
constructing a monitoring task based on satellite parameters, a target area and monitoring time, and determining a satellite set for monitoring based on the monitoring task;
in the satellite set, determining a plurality of satellite networking schemes based on the coverage of each satellite on the target area and the coverage overlapping degree of different satellites on the target area;
and carrying out quantitative evaluation on the multiple satellite networking schemes based on different requirements, and respectively obtaining the optimal satellite networking scheme corresponding to each requirement.
Preferably, in the satellite set, based on the coverage of each satellite on the target area and the coverage overlap degree of different satellites on the target area, a plurality of satellite networking schemes are determined, including:
generating a plurality of combination sets for all satellites in the satellite set according to a set combination mode;
calculating the overall coverage condition of all combination sets to the target area based on the coverage range of each satellite to the target area, and selecting a combination set with complete coverage;
selecting a combination set of which the coverage overlapping degrees of all satellites to the target area meet an overlapping threshold value in each combination set with complete coverage to generate a first satellite networking scheme set;
and performing repeatability check on the first satellite networking scheme set, and generating a second satellite networking scheme set through the combination set of the repeatability check.
Preferably, the set combination includes:
generating a combined set according to two-to-two combination, then generating the combined set according to three combinations, and so on until generating the combined set of n satellites; wherein n is the number of satellites in the set of satellites.
Preferably, the performing quantitative evaluation on the multiple satellite networking schemes based on different requirements to respectively obtain the optimal satellite networking scheme corresponding to each requirement includes:
in the first satellite networking scheme set, imaging time consumption calculation is carried out on each satellite in each satellite networking scheme, and then the total time consumption of the networking schemes is calculated;
sequencing the total time consumption of all the satellite networking schemes in the first satellite networking scheme set;
in the second satellite networking scheme set, calculating the imaging range of each satellite in each satellite networking scheme, calculating the cost of a single satellite according to the imaging quantity, and further calculating the total cost of the satellite networking scheme;
sequencing the total cost of all the satellite networking schemes in the second satellite networking scheme set;
and acquiring a satellite networking scheme with the shortest time consumption from the first satellite networking scheme set, and acquiring an economically optimal satellite networking scheme from the second satellite networking scheme set.
Preferably, after the monitoring task is constructed based on the satellite parameters, the target area and the monitoring time, the method further includes:
and calculating the running track, the imaging width and the single-circle imaging quantity of a single satellite.
Preferably, the calculation of the imaging width includes:
calculating a yaw angle between the target area and the satellite according to the running track of the satellite;
and calculating the imaging width through the load pixel size, the focal length, the satellite running height and the sidesway angle.
Preferably, the constructing of the monitoring task based on the satellite parameters, the target area and the monitoring time includes:
setting the attribute of a monitoring task based on the satellite parameters, the target area and the monitoring time;
constructing a monitoring task based on the attributes of the monitoring task;
the satellite parameters comprise satellite ephemeris, maneuvering capacity, load type and resolution, a ground station capable of receiving the satellite data and an image unit price;
the attributes of the monitoring task comprise a task name, creation time, a monitoring target area, image resolution and a satellite set for selection.
Based on the same invention concept, the invention also provides a monitoring task planning system for remote sensing satellite networking, which comprises the following components:
the monitoring task construction module is used for constructing a monitoring task based on satellite parameters, a target area and monitoring time and determining a satellite set for monitoring based on the monitoring task;
the satellite networking scheme generation module is used for determining a plurality of satellite networking schemes based on the coverage range of each satellite on the target area and the coverage overlapping degree of different satellites on the target area in the satellite set;
and the satellite networking scheme evaluation module is used for carrying out quantitative evaluation on the various satellite networking schemes based on different requirements and respectively obtaining the optimal satellite networking scheme corresponding to each requirement.
Preferably, the module for generating the satellite networking scheme includes:
the first generation unit is used for generating a plurality of combination sets for all the satellites in the satellite set according to a set combination mode;
the screening unit is used for calculating the overall coverage condition of all the combination sets to the target area based on the coverage range of each satellite to the target area, and selecting the combination set with complete coverage;
a second generating unit, configured to select, in each completely covered combined set, a combined set in which coverage overlapping degrees of all satellites for the target area satisfy an overlapping threshold, and generate a first satellite networking scheme set;
and the third generating unit is used for carrying out repeatability check on the first satellite networking scheme set and generating a second satellite networking scheme set through the combination set of the repeatability check.
Preferably, the satellite networking scheme evaluation module is specifically configured to:
in the first satellite networking scheme set, imaging time consumption calculation is carried out on each satellite in each satellite networking scheme, and then the total time consumption of the networking schemes is calculated;
sequencing the total time consumption of all the satellite networking schemes in the first satellite networking scheme set;
in the second satellite networking scheme set, calculating the imaging range of each satellite in each satellite networking scheme, calculating the cost of a single satellite according to the imaging quantity, and further calculating the total cost of the satellite networking scheme;
sequencing the total cost of all the satellite networking schemes in the second satellite networking scheme set;
and acquiring a satellite networking scheme with the shortest time consumption from the first satellite networking scheme set, and acquiring an economically optimal satellite networking scheme from the second satellite networking scheme set.
Compared with the prior art, the invention has the beneficial effects that:
according to the technical scheme provided by the invention, a monitoring task is constructed based on satellite parameters, a target area and monitoring time, and a satellite set for monitoring is determined based on the monitoring task; in the satellite set, determining a plurality of satellite networking schemes based on the coverage of each satellite on the target area and the coverage overlapping degree of different satellites on the target area; and carrying out quantitative evaluation on the multiple satellite networking schemes based on different requirements, and respectively obtaining the optimal satellite networking scheme corresponding to each requirement. According to the invention, the corresponding optimal satellite networking scheme is provided for the monitoring task according to the requirement, so that the emergency response requirement can be met, the networking planning is carried out by taking the constructed monitoring task as the constraint, the requirements of users in different industries are met, and various optimization schemes are provided for the users to select.
Drawings
FIG. 1 is a flow chart of a method for planning monitoring tasks of a remote sensing satellite networking in the present invention;
FIG. 2 is a flow chart of remote sensing satellite networking monitoring task planning in an embodiment of the present invention;
FIG. 3 is a flowchart illustrating the steps for generating a set of satellite networking solutions according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a remote sensing satellite networking monitoring task planning module in the embodiment of the invention.
Detailed Description
For a better understanding of the present invention, reference is made to the following description taken in conjunction with the accompanying drawings and examples.
Example 1: according to the remote sensing satellite networking monitoring task planning method, satellite parameters and data transmission capacity can be considered according to requirements of a monitoring area, a revisit period and the like, and different satellite networking schemes are provided according to the emergency degree of a monitoring task and on the principle of the most economical and the fastest speed. The invention improves the universality of the satellite networking monitoring task planning, and a user can select the required satellite resources according to the requirement and receive the data of the ground satellite center.
As shown in fig. 1, the method for planning monitoring tasks in remote sensing satellite networking provided by the invention comprises the following steps:
s1, constructing a monitoring task based on the satellite parameters, the target area and the monitoring time, and determining a satellite set for monitoring based on the monitoring task;
s2, determining a plurality of satellite networking schemes based on the coverage of each satellite on the target area and the coverage overlapping degree of different satellites on the target area in the satellite set;
s3, carrying out quantitative evaluation on the multiple satellite networking schemes based on different requirements, and respectively obtaining the optimal satellite networking scheme corresponding to each requirement.
Through the technical scheme provided by the invention, the following purposes can be realized:
(1) aiming at the problem that the coverage and the monitoring period of the remote sensing satellite cannot meet the task requirements, the invention shortens the monitoring period while meeting the coverage of a target area by a multi-satellite networking cooperative monitoring mode.
(2) Aiming at the problem of insufficient economic evaluation of the existing satellite networking scheme, an economic evaluation method based on a single image is provided to evaluate the task economy.
(3) Aiming at the problem that different satellite networking schemes lack effective quantification means, efficiency and cost quantification is carried out on the different satellite networking schemes, and the requirements of different civil application occasions are met.
As shown in fig. 2, the method for planning the monitoring task of the remote sensing satellite network system special for the power grid provided by the invention is specifically described, and the steps are as follows:
step 1: and (3) creating a monitoring task:
inputting satellite parameters including but not limited to satellite ephemeris, maneuvering capability, load type and resolution, ground station capable of receiving satellite data and image unit price;
demarcating a target area, and selecting a frame or manually inputting the position of the target area, wherein the shape of the target area comprises a rectangle, a circle and a polygon;
inputting monitoring time, wherein the monitoring time can be a time period or a time period;
creating tasks including task names, creation time, monitoring target areas, image resolution requirements, selectable satellite sets and the like, wherein the selectable satellite sets can be all satellites in the system or a plurality of satellites in the system.
Step 2: calculating the running track of a single satellite:
acquiring a satellite set for monitoring based on the created monitoring task, wherein the satellite set for monitoring is automatically screened through calculation and needs to meet the requirements of time and regions;
secondly, calculating the satellite running track of a single satellite in the satellite set by using the satellite ephemeris parameters, and extracting the track passing through the upper part of the monitored area.
And step 3: calculating the imaging width of a single satellite:
firstly, calculating a yaw angle with a target area according to a satellite running track, wherein the yaw angle is less than or equal to a maximum yaw angle allowed by a satellite;
secondly, calculating the imaging width of the satellite according to the load pixel size, the focal length, the satellite running height and the side swing angle;
recording single-circle imaging strips of the target area;
and fourthly, repeating the first step to the third step to calculate the coverage range of the next circle.
And 4, step 4: generating different satellite networking schemes:
as shown in fig. 3, the step of generating the set of satellite networking schemes mainly includes the following steps:
combining all satellites in the optional satellite set in pairs to form a combined set
Wherein
n is the number of selectable satellites;
② calculating a combined set S of three, four … … up to n satellites3、S4......Sn；
Calculating the overall coverage condition of the target area under all satellite combination sets, and eliminating a satellite networking scheme which cannot completely cover the monitored target area;
fourthly, coverage overlapping degree lambda calculation is carried out on different satellite imaging strips under a plurality of reserved satellite combination sets, lambda is not less than the specified coverage overlapping degree requirement, satellite combinations which are less than the specified coverage overlapping degree are removed, and a satellite networking scheme set P is generated as { P ═ P1，P2......PK) Wherein
Fifthly, the retained satellite combination set is checked for repeatability, if so
Is that
A subset of (2), then culling
Wherein n is2＞n1And finally generating a set Q ═ Q of satellite networking schemes meeting the requirements1，Q2......QTAnd T is less than or equal to K.
And 5: and (3) evaluating a satellite networking scheme:
firstly, imaging time consumption calculation is carried out on each satellite in the satellite networking scheme P1, and further the total time consumption of the networking scheme P1 is calculated;
secondly, calculating the respective total time consumption of the remaining K-1 satellite networking schemes according to the method in the first step;
third, the satellite networking scheme generation and evaluation module is used for generating a satellite networking scheme Q1Each satellite in the network carries out imaging range calculation, the cost of a single satellite is calculated according to the imaging quantity, and then a networking scheme Q is calculated1The total cost;
fourthly, the total cost of each of the rest T-1 satellite networking schemes is calculated according to the method in the third step.
In the present embodiment, P ═ { P } is provided in step 41，P2......PKQ ═ Q1，Q2......QTThe fourth step is to reduce the amount of calculation in the fourth step in step 5.
Step 6: outputting an optimal satellite networking scheme:
sorting K networking schemes in the networking scheme set P by using the principle of shortest time consumption;
sorting the T networking schemes in the networking scheme set Q by using the most economic principle;
and thirdly, outputting an optimal networking scheme under two principles, including task name, creation time, a monitoring target area, used satellites, monitoring time, total cost and the like.
Example 2: based on the same invention concept, the invention also provides a monitoring task planning system for remote sensing satellite networking, which comprises the following components:
the monitoring task construction module is used for constructing a monitoring task based on satellite parameters, a target area and monitoring time and determining a satellite set for monitoring based on the monitoring task;
the satellite networking scheme generation module is used for determining a plurality of satellite networking schemes based on the coverage range of each satellite on the target area and the coverage overlapping degree of different satellites on the target area in the satellite set;
and the satellite networking scheme evaluation module is used for carrying out quantitative evaluation on the various satellite networking schemes based on different requirements and respectively obtaining the optimal satellite networking scheme corresponding to each requirement.
In an embodiment, the module for generating the satellite networking scheme includes:
the first generation unit is used for generating a plurality of combination sets for all the satellites in the satellite set according to a set combination mode;
the screening unit is used for calculating the overall coverage condition of all the combination sets to the target area based on the coverage range of each satellite to the target area, and selecting the combination set with complete coverage;
a second generating unit, configured to select, in each completely covered combined set, a combined set in which coverage overlapping degrees of all satellites for the target area satisfy an overlapping threshold, and generate a first satellite networking scheme set;
and the third generating unit is used for carrying out repeatability check on the first satellite networking scheme set and generating a second satellite networking scheme set through the combination set of the repeatability check.
In an embodiment, the satellite networking scheme evaluation module is specifically configured to:
in the first satellite networking scheme set, imaging time consumption calculation is carried out on each satellite in each satellite networking scheme, and then the total time consumption of the networking schemes is calculated;
sequencing the total time consumption of all the satellite networking schemes in the first satellite networking scheme set;
in the second satellite networking scheme set, calculating the imaging range of each satellite in each satellite networking scheme, calculating the cost of a single satellite according to the imaging quantity, and further calculating the total cost of the satellite networking scheme;
sequencing the total cost of all the satellite networking schemes in the second satellite networking scheme set;
and acquiring a satellite networking scheme with the shortest time consumption from the first satellite networking scheme set, and acquiring an economically optimal satellite networking scheme from the second satellite networking scheme set.
In this embodiment, the monitoring task construction module further includes a satellite trajectory and monitoring area calculation module configured to calculate a running trajectory, an imaging width, and a single-circle imaging number of a single satellite.
The monitoring task planning system of the present embodiment is shown in fig. 4, and includes a monitoring task creating module, a satellite trajectory and monitoring area calculating module, a satellite networking scheme generating module, and a satellite networking scheme evaluating module.
The target area and the remote sensing satellite carrying the specified load can be selected through the establishment of the monitoring task, and the time of a single satellite passing through the target area, the coverage range of a single image and the number of single-circle images can be calculated through the satellite track and monitoring area calculation module based on the satellite ephemeris parameters and the satellite mobility.
The coverage range of a plurality of satellites can be combined by using the satellite networking scheme generation module, the integrity of the coverage range is ensured by designing a reasonable overlapping threshold value, and different networking schemes are quantitatively evaluated by the networking scheme evaluation method provided by the invention.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.
Claims (10)
1. A monitoring task planning method for remote sensing satellite networking is characterized by comprising the following steps:
constructing a monitoring task based on satellite parameters, a target area and monitoring time, and determining a satellite set for monitoring based on the monitoring task;
in the satellite set, determining a plurality of satellite networking schemes based on the coverage of each satellite on the target area and the coverage overlapping degree of different satellites on the target area;
and carrying out quantitative evaluation on the multiple satellite networking schemes based on different requirements, and respectively obtaining the optimal satellite networking scheme corresponding to each requirement.
2. The method of claim 1, wherein determining a plurality of satellite networking schemes based on coverage of each satellite for the target area and coverage overlap between different satellites for the target area in the set of satellites comprises:
generating a plurality of combination sets for all satellites in the satellite set according to a set combination mode;
calculating the overall coverage condition of all combination sets to the target area based on the coverage range of each satellite to the target area, and selecting a combination set with complete coverage;
selecting a combination set of which the coverage overlapping degrees of all satellites to the target area meet an overlapping threshold value in each combination set with complete coverage to generate a first satellite networking scheme set;
and performing repeatability check on the first satellite networking scheme set, and generating a second satellite networking scheme set through the combination set of the repeatability check.
3. The method of claim 2, wherein the set combination comprises:
generating a combined set according to two-to-two combination, then generating the combined set according to three combinations, and so on until generating the combined set of n satellites; wherein n is the number of satellites in the set of satellites.
4. The method according to claim 2, wherein the quantitatively evaluating the plurality of satellite networking schemes based on different requirements to respectively obtain the optimal satellite networking scheme corresponding to each requirement comprises:
in the first satellite networking scheme set, imaging time consumption calculation is carried out on each satellite in each satellite networking scheme, and then the total time consumption of the networking schemes is calculated;
sequencing the total time consumption of all the satellite networking schemes in the first satellite networking scheme set;
in the second satellite networking scheme set, calculating the imaging range of each satellite in each satellite networking scheme, calculating the cost of a single satellite according to the imaging quantity, and further calculating the total cost of the satellite networking scheme;
sequencing the total cost of all the satellite networking schemes in the second satellite networking scheme set;
and acquiring a satellite networking scheme with the shortest time consumption from the first satellite networking scheme set, and acquiring an economically optimal satellite networking scheme from the second satellite networking scheme set.
5. The method of claim 1, wherein after constructing the monitoring task based on the satellite parameters, the target region, and the monitoring time, further comprising:
and calculating the running track, the imaging width and the single-circle imaging quantity of a single satellite.
6. The method of claim 5, wherein the calculating of the imaging width comprises:
calculating a yaw angle between the target area and the satellite according to the running track of the satellite;
and calculating the imaging width through the load pixel size, the focal length, the satellite running height and the sidesway angle.
7. The method of claim 1, wherein constructing a monitoring task based on the satellite parameters, the target region, and the monitoring time comprises:
setting the attribute of a monitoring task based on the satellite parameters, the target area and the monitoring time;
constructing a monitoring task based on the attributes of the monitoring task;
the satellite parameters comprise satellite ephemeris, maneuvering capacity, load type and resolution, a ground station capable of receiving the satellite data and an image unit price;
the attributes of the monitoring task comprise a task name, creation time, a monitoring target area, image resolution and a satellite set for selection.
8. A monitoring task planning system for remote sensing satellite networking is characterized by comprising:
the monitoring task construction module is used for constructing a monitoring task based on satellite parameters, a target area and monitoring time and determining a satellite set for monitoring based on the monitoring task;
the satellite networking scheme generation module is used for determining a plurality of satellite networking schemes based on the coverage range of each satellite on the target area and the coverage overlapping degree of different satellites on the target area in the satellite set;
and the satellite networking scheme evaluation module is used for carrying out quantitative evaluation on the various satellite networking schemes based on different requirements and respectively obtaining the optimal satellite networking scheme corresponding to each requirement.
9. The system of claim 8, wherein the satellite networking scheme generation module comprises:
the first generation unit is used for generating a plurality of combination sets for all the satellites in the satellite set according to a set combination mode;
the screening unit is used for calculating the overall coverage condition of all the combination sets to the target area based on the coverage range of each satellite to the target area, and selecting the combination set with complete coverage;
a second generating unit, configured to select, in each completely covered combined set, a combined set in which coverage overlapping degrees of all satellites for the target area satisfy an overlapping threshold, and generate a first satellite networking scheme set;
and the third generating unit is used for carrying out repeatability check on the first satellite networking scheme set and generating a second satellite networking scheme set through the combination set of the repeatability check.
10. The system of claim 8, wherein the satellite networking scheme evaluation module is specifically configured to:
in the first satellite networking scheme set, imaging time consumption calculation is carried out on each satellite in each satellite networking scheme, and then the total time consumption of the networking schemes is calculated;
sequencing the total time consumption of all the satellite networking schemes in the first satellite networking scheme set;
in the second satellite networking scheme set, calculating the imaging range of each satellite in each satellite networking scheme, calculating the cost of a single satellite according to the imaging quantity, and further calculating the total cost of the satellite networking scheme;
sequencing the total cost of all the satellite networking schemes in the second satellite networking scheme set;
and acquiring a satellite networking scheme with the shortest time consumption from the first satellite networking scheme set, and acquiring an economically optimal satellite networking scheme from the second satellite networking scheme set.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010846391.4A CN112183921A (en) | 2020-08-20 | 2020-08-20 | Monitoring task planning method and system for remote sensing satellite networking |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010846391.4A CN112183921A (en) | 2020-08-20 | 2020-08-20 | Monitoring task planning method and system for remote sensing satellite networking |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112183921A true CN112183921A (en) | 2021-01-05 |
Family
ID=73925762
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010846391.4A Pending CN112183921A (en) | 2020-08-20 | 2020-08-20 | Monitoring task planning method and system for remote sensing satellite networking |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112183921A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114022170A (en) * | 2021-08-31 | 2022-02-08 | 中国资源卫星应用中心 | Satellite demand planning system and method based on order overall planning |
-
2020
- 2020-08-20 CN CN202010846391.4A patent/CN112183921A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114022170A (en) * | 2021-08-31 | 2022-02-08 | 中国资源卫星应用中心 | Satellite demand planning system and method based on order overall planning |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111859800B (en) | Space-time estimation and prediction method for PM2.5 concentration distribution | |
| Mishra et al. | Prediction of land use changes based on land change modeler (LCM) using remote sensing: A case study of Muzaffarpur (Bihar), India | |
| CN110263111B (en) | Priori knowledge-based space-time monitoring method for land utilization/coverage information | |
| Jalalkamali | Using of hybrid fuzzy models to predict spatiotemporal groundwater quality parameters | |
| Kazemi et al. | Mineral processing plant site selection using integrated fuzzy cognitive map and fuzzy analytical hierarchy process approach: A case study of gilsonite mines in Iran | |
| CN104217384A (en) | A nuclear accident emergency processing and auxiliary decision support system | |
| Marinho et al. | Short-term solar irradiance forecasting using CNN-1D, LSTM, and CNN-LSTM deep neural networks: A case study with the Folsom (USA) dataset | |
| CN114330856A (en) | Long-time-period large-area remote sensing satellite rapid covering method and system | |
| CN114021768A (en) | Method for dynamically matching satellite imaging load based on disaster type | |
| CN115561834A (en) | Meteorological short-term and temporary forecasting all-in-one machine based on artificial intelligence | |
| Plant et al. | Combining expert system and GIS technology to implement a state-transition model of oak woodlands | |
| CN111539100A (en) | Generation method, device, equipment and storage medium of well site virtual construction model | |
| Brun et al. | A high performance computing framework for continental-scale forest fire spread prediction | |
| CN112183921A (en) | Monitoring task planning method and system for remote sensing satellite networking | |
| Statsenko et al. | Developing software and hardware for automation of ground urban transport traffic management | |
| Fenech et al. | Selecting a global climate model for understanding future projections of climate change | |
| Wang et al. | Deep reinforcement learning-based rescue resource distribution scheduling of storm surge inundation emergency logistics | |
| CN112380945A (en) | Method and system for identifying potential environmental hazards of power transmission channel | |
| CN114418243B (en) | Distributed new energy cloud grid prediction method and system | |
| CN114511239B (en) | Method and device for dividing soil heavy metal pollution risk area, electronic equipment and medium | |
| Li et al. | Knowledge discovery for geographical cellular automata | |
| Beygiheidarlou et al. | Forecasting deforestation and forest recovery using Land Transformation Model(LTM) in Iranian Zagros forests | |
| CN115424131A (en) | Remote sensing image cloud detection optimal threshold selection method based on absolute pixels, cloud detection method and system | |
| Takle et al. | A case study: Tracking and visualizing the evolution of dark matter halos and groups of satellite halos in cosmology simulations | |
| Chen et al. | From multifunctionality to sustainable cultivated land development? A three‐dimensional trade‐off model tested in Panxi region of southwestern China |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |