JP6486263B2 - Control plan generation apparatus, observation system, and control plan generation method - Google Patents

Description

  The present invention relates to a technique for automatically generating a control plan used in a sensor device that observes a plurality of observation objects.

  In recent years, countless flying objects such as artificial satellites and space debris (space debris) orbit around the earth at high speed. This type of flying object is called RSO (Resident Space Object), and the orbit of RSO changes from moment to moment due to factors such as perturbation due to the gravity of the planet. In addition, RSO is a threat to space development in each country because it causes enormous damage when it collides with a satellite or space station currently in operation. In order to cope with this threat, the concept of SSA (Space Situation Awareness), which aims to monitor RSO using a sensor device such as a radar device and an optical telescope, is becoming more important.

  The prior art regarding SSA is disclosed, for example, in Patent Document 1 (Japanese Patent Laid-Open No. 2002-222009). Patent Document 1 discloses a technique for constantly monitoring a flying object that passes through a set range of a fixed observation direction (for example, meridian) using an optical device.

JP 2002-220099 A

  In SSA, it may be necessary to monitor as many RSOs as possible using limited sensor resources (for example, one radar device) within a limited observation time. In such a case, it is desirable to create an efficient control plan for sensor resources with respect to when and when a certain sensor resource is observed. In the prior art of the above-mentioned Patent Document 1, since an efficient control plan is not created, the sensor resource can only perform inefficient observation.

  In view of the above, an object of the present invention is to provide a control plan generation device, an observation system, and a control plan generation method that enable efficient observation of a large number of observation targets such as RSO.

A control plan generation device according to an aspect of the present invention is a control plan generation device that generates a control plan used in a sensor device that observes a plurality of observation targets, acquires trajectory information of each observation target, and A position calculation unit that calculates coordinate information indicating the position of each observation target in the observation period using orbit information, and determines the observation operation state of the sensor device for the plurality of observation targets for each specified time in the observation period A control plan generation unit for generating a control plan, the control plan generation unit based on the specification data indicating the performance specifications of the sensor device and the coordinate information, the sensor device at each specified time calculating an index indicating the degree capable of observing the observation target, based on the index, or among the plurality of candidates of observing operation state of the sensor device for each of the specified time And generating the control plan by determining an observation operation.

  An observation system according to another aspect of the present invention includes the control plan generation device and a sensor device that observes a plurality of observation targets according to the control plan generated by the control plan generation device.

A control plan generation method according to still another aspect of the present invention is a control plan generation method executed in an information processing apparatus, the step of acquiring each orbit information of a plurality of observation targets to be observed by a sensor device; , Using the trajectory information to calculate coordinate information indicating the position of each observation target in the observation period, and based on the specification data indicating the performance specifications of the sensor device and the coordinate information, in the observation period a step of the sensor device for each specified time calculates an index indicating the degree capable of observing each of said observation target, based on the index, the plurality candidates of observing operation state of the sensor device for each of the specified time And generating a control plan by determining one observation operation state from the above.

  According to the present invention, using the index calculated based on the specification data indicating the performance specifications of the sensor device and the coordinate information indicating the location of each observation target, the observation operation state of the sensor device for each specified time A control plan can be generated. Therefore, the sensor device can efficiently observe a large number of observation objects according to the control plan.

It is a block diagram which shows schematic structure of the observation system of Embodiment 1 which concerns on this invention. It is a figure which shows the example of a radar apparatus typically. It is a graph which shows the numerical example of the azimuth | direction angle defined by the control plan with respect to two radar apparatuses. 3 is a flowchart schematically showing an example of a procedure of position calculation processing according to the first embodiment. It is a figure which shows an example of the content of a RSO list | wrist. 6 is a flowchart schematically showing an example of a procedure of a control plan generation process according to the first embodiment. It is a figure which shows an example of the control plan produced | generated by the control plan production | generation process of FIG. 2 is a diagram illustrating a hardware configuration example of a control plan generation device according to Embodiment 1. FIG.

  Hereinafter, various embodiments according to the present invention will be described in detail with reference to the drawings. In addition, the component to which the same code | symbol was attached | subjected in the whole drawing shall have the same structure and the same function.

Embodiment 1 FIG.
FIG. 1 is a block diagram showing a schematic configuration of a control system 1 according to the first embodiment of the present invention. As shown in FIG. 1, the control system 1 includes a control plan generation device 2 and a control plan execution unit 3. The control plan generation device 2 has a function of generating a control plan necessary for efficiently observing a large number of RSOs (Resident Space Objects) that can be observed within a predetermined observation period T (for example, several hours to 24 hours). doing. Examples of the RSO include observation objects (for example, currently operated artificial satellites, currently non-operated artificial satellites, and space debris) that exist in the orbit of planets such as the earth. The RSO of the present embodiment includes not only observation objects existing in the orbit of the planet but also small objects such as comets and meteors that may collide with the planet. The control plan execution unit 3 has a function of observing the RSO according to the control plan. A series of processing from receiving a request from the user to generating a control plan according to the request and transmitting the control plan to the control plan execution unit 3 is called scheduling.

  The control plan execution unit 3 includes at least one sensor device such as an astronomical observation radar device. FIG. 2 is a diagram schematically showing an example of such a radar device 3a. The radar apparatus 3a has a search function and a tracking function for the RSO 35. That is, the search function of the radar apparatus 3a can perform the initial detection of the RSO 35 using the fence beam FB, and the tracking function of the radar apparatus 3a can perform the tracking of the RSO 35 after the initial detection using the tracking beam TB. Here, the fence beam FB refers to a fence-shaped radar wave generated by connecting a plurality of search beams.

In the present embodiment, the control plan execution unit 3 includes a radar device arranged on the ground. This radar apparatus operates in the observation operation state designated in the control plan at every designated time within the observation period T set in the control plan. In the present embodiment, it is assumed that the observation period T is divided into N designated times T ₁ , T ₂ ,..., T _N (N is a positive integer). For example, when the length of the observation period T is 24 hours (= 86400 seconds) and one designated time _Tn is 30 seconds, 2880 (= 86400/30) designated times T _{1 to} T ₂₈₈₀ are calculated. Can be set. Control plan execution unit 3, for each specified time T _n, in the direction of the specified azimuth θ and elevation φ in the control plan, and transmits a radar wave fence shape of the given pattern in the control plan. In this specification, a combination of the azimuth angle θ, the elevation angle φ, and the fence shape is referred to as an “observation operation state” of the radar apparatus. "Control plan" refers to the information that defines the observation operating state of the sensor equipment of each specified time T _n.

The control plan generating device 2 is a plurality of candidates Ω ₁ , Ω ₂ , Ω ₃ ,..., Ω _M (M is a positive integer) for the observation operation state of one or a plurality of sensor devices at a specified time T _n. A control plan is generated by selecting one observation operation state from and assigning this one observation operation state to the designated time T _n . When the number of selectable values of azimuth angle θ is N _θ , the number of selectable values of elevation angle φ is N _φ , and the number of selectable fence shapes is N _f , the number of observation operation state candidates is , N _θ × N _φ × N _f . For example, 360 numerical values can be obtained in increments of 1 ° within an azimuth angle θ range of 0 ° to 360 °, and 90 numerical values can be obtained in increments of 1 ° within an elevation angle φ of 0 ° to 90 °. When there are three fence-shaped patterns, the number of observation operation state candidates is 97200 (= 360 × 90 × 3). However, when the limit of the limit driving speed exists in the radar apparatus, the azimuth angle θ is limited because there is an angle that can be driven during the specified time T _n . For example, when the limit driving speed at the azimuth angle θ is 1 ° per second and the designated time T _n per time is 30 seconds, the range of the optimum azimuth angle ± 30 ° at the designated time T _n−1 one time before. (Range of −30 ° to + 30 °) is a candidate range of the azimuth angle θ at the current designated time T _n .

FIG. 3 is a graph showing a numerical example of the azimuth angle θ determined in the control plan. As shown in FIG. 3, two radar devices 3a constituting the control plan execution unit 3, for each of 3b, numerical azimuth θ is defined for each designated 30 seconds T _n. Note that the observation operation state of the present invention is not limited to the combination of the azimuth angle θ, the elevation angle φ, and the fence shape.

  Next, the configuration of the control plan generation device 2 will be described in detail. As shown in FIG. 1, the control plan generation apparatus 2 calculates a data storage unit 10 in which various data necessary for generating a control plan are stored, and coordinate information indicating the location of each RSO in the observation period T. The position calculation unit 21, a control plan generation unit 22 that generates a control plan using the coordinate information, and a data editing processing unit 23 are provided.

  The data storage unit 10 includes a trajectory information storage unit 11, an observable distance data storage unit 12, a priority data storage unit 13, a sensor specification storage unit 14, and a control plan storage unit 15. The track information storage unit 11 stores track information of each RSO and the last update time of the track information. As the trajectory information, for example, TLE trajectory information managed in a format called a TLE (Two Line Element) format can be used. In TLE trajectory information, Kepler trajectory elements in a geocentric coordinate system of a flying object to be observed are described in a text format. This type of TLE orbit information is provided by, for example, the US Space Surveillance Network (SSN).

  The observable distance data storage unit 12 stores data indicating the observable distances of various RSOs. As the observable distance, for example, a value calculated based on RSO RCS (Radar Cross Section) may be used. For RCS, for example, RCS data can be acquired from a facility or institution that observes RSO. The priority data storage unit 13 stores priority data that is digitized based on an operation input by the user. Details of the priority data will be described later.

  The sensor specification storage unit 14 stores specification data indicating the performance specifications of the radar apparatus constituting the control plan execution unit 3. The specification data includes, for example, data indicating the installation latitude and installation longitude of the radar device, the maximum processing distance, and the fence shape pattern of the fence beam. The control plan storage unit 15 stores control plan data generated by the control plan generation unit 22.

  The data storage unit 10 does not necessarily have to be incorporated in the control plan generation device 2. For example, the data storage unit 10 may be configured in an external data recording device connected to the control plan generating device 2 via a telecommunication network such as a LAN (Local Area Network) or a wide area communication network. In addition, the trajectory information storage unit 11, the observable distance data storage unit 12, the priority data storage unit 13, the sensor specification storage unit 14, and the control plan storage unit 15 need not necessarily be configured in one data recording device. Instead, it may be distributed among a plurality of data recording devices.

  The position calculation unit 21 accesses the data storage unit 10, acquires specification data indicating the performance specifications of the sensor device from the sensor specification storage unit 14, and acquires RSO track information from the track information storage unit 11. The position calculation unit 21 calculates coordinate information indicating the existence position (predicted position) of each RSO in the observation period T using the specification data and the orbit information, and a list (hereinafter referred to as a list) in which the coordinate information of each RSO is described. (Also referred to as “RSO list”). In other words, the position calculation unit 21 converts the trajectory information of each RSO into another type of trajectory information (RSO list) that allows the control plan generation unit 22 to easily execute the control plan generation process.

As shown in FIG. 1, the control plan generation unit 22 includes an index calculation unit 30 and an operation state determination unit 31. The index calculation unit 30 calculates an index indicating the observable degree of each RSO for each specified time T _n based on various data in the data storage unit 10 and the RSO list. Details of this index will be described later. Operation state determination unit 31, based on this index, several candidates Omega ₁ observation operation state of the sensor device for each specified time _{T n, Ω 2, Ω 3} , ..., an observation operation state from the Omega _M A control plan is generated by making a decision. Data indicating this control plan is supplied to the control plan execution unit 3. The control plan execution unit 3 can efficiently observe a large number of RSOs in accordance with the control plan within the limited observation period T.

  Moreover, the control plan production | generation apparatus 2 is provided with the interface part (I / F part) 24 connected to the display apparatus 4 and the operation input part 5, as FIG. 1 shows. The display device 4 is an image display device such as a liquid crystal display panel or an organic EL display panel. The operation input unit 5 has an input button and an input key for receiving an operation input by the user. The data editing processing unit 23 has a function of accepting an operation input by a user via the I / F unit 24 and enabling editing of setting values of various data stored in the data storage unit 10 in accordance with the operation input. . Specifically, the data editing processing unit 23 can display a data editing screen on the display device 4. The user can input information to the data editing processing unit 23 by operating the operation input unit 5 while viewing the data editing screen. The user can also operate the operation input unit 5 to input a control plan generation request to the position calculation unit 21.

  Next, the operation of the control plan generation device 2 will be described. FIG. 4 is a flowchart schematically showing an example of the procedure of the position calculation process executed by the position calculation unit 21.

Referring to FIG. 4, the position calculation unit 21 initializes the RSO list (step ST1), and then the performance specifications of the radar device (for example, the installation latitude and installation longitude of the radar device, and the like, as well as the sensor specification storage unit 14) Specification data indicating the maximum processing distance is acquired (step ST2). Then, the position calculation unit 21 selects one RSO (step ST3). Specifically, the RSO identification number ID ₁ can be designated to select the RSO. Further, the position calculation unit 21 acquires the track information of the RSO from the track information storage unit 11 (step ST4).

  Next, the position calculation unit 21 calculates the coordinate information of the RSO at each time within the observation period T designated by the user based on the data of the laser device and the orbit information of the RSO (step ST5). The coordinate information is added to the RSO list (step ST6). Specifically, the position calculation unit 21 sets the time at which the RSO is present in a hemisphere centered on the radar device and having a radius of the maximum processing distance as a certain time unit (for example, 0.5 seconds to 1.. 0 seconds) and the location of RSO at each time.

Next, the position calculation unit 21 determines whether coordinate information has been calculated for all RSOs (step ST7). When coordinate information has not been calculated for all RSOs (NO in step ST7), the position calculation unit 21 selects one next RSO (step ST8). Specifically, the next RSO can be selected by designating the RSO identification number ID _k (k = 2). Thereafter, the processes of steps ST4 to ST7 are executed. When coordinate information has been calculated for all RSOs (YES in step ST7), the position calculation unit 21 ends the position calculation process and supplies the RSO list to the control plan generation unit 22.

FIG. 5 is a diagram illustrating an example of the contents of the RSO list. In the RSO list shown in FIG. 5, for each RSO identification number ID _k (k is an arbitrary integer from 1 to K: K is a positive integer), the time τ (k, k,) in the observation period T specified by the user. 1), τ (k, 2),..., And the position coordinates Pos (k, 1), Pos (k, Pos) of the RSO corresponding to these times τ (k, 1), τ (k, 2),. 2), ... are described.

  Next, the operation of the control plan generator 22 will be described with reference to FIG. FIG. 6 is a flowchart schematically showing an example of the procedure of the control plan generation process. When a control plan generation request is input from the operation input unit 5 via the I / F unit 24, the control plan generation unit 22 starts a control plan generation process in response to the generation request.

Referring to FIG. 6, first, the index calculation unit 30 initializes a control plan (step ST11). At this time, all the overall evaluation values described later are also initialized. Next, the index calculation unit 30 accesses the data storage unit 10 to acquire various data necessary for generating the control plan (step ST12), and acquires the RSO list from the position calculation unit 21 (step ST13). Then, the index calculation unit 30 sets the designated time T _n in the observation period T to the initial time T ₁ (step ST14), and sets the observation operation state candidate Ω _m to the initial observation operation state Ω ₁ (step ST15). And the RSO identification number ID _k is set to the _first RSO identification number ID ₁ (step ST16).

Thereafter, in step ST17 to ST19, the index calculation unit 30 determines the degree of observability of the RSO for each specified time T _k based on the RSO list, the specification data acquired from the data storage unit 10, and the observable distance data. An index indicating is calculated. In Step ST17, the index calculation unit 30 predicts the RSO detectable number f _num (ID _k ) by calculation. This detectable number f _num (ID _k ) is the first index value. Specifically, when a set of an azimuth angle θ, an elevation angle φ, and a fence shape is designated, a fence range to be scanned by a radar wave is determined. The index calculation unit 30 can determine that an RSO existing in the fence range can be detected even within 1 second within the observation period T with reference to the RSO list and the observable distance of each RSO. When the RSO can be detected, the detectable number f _num (ID _k ) is set to a value of “1”, and when the RSO cannot be detected, the detectable number f _num (ID _k ) is “0”. Is set to the value of

In the next step ST18, the index calculation unit 30 predicts the RSO observable time f _time (ID _k ) at the specified time T _n by calculation. Specifically, the index calculation unit 30 determines the fence shape of the fence beam and the coverage area where the radar wave can be scanned based on the observation operation state candidate Ω _m (azimuth angle θ, elevation angle φ, and fence shape). . Next, the index calculation unit 30 refers to the RSO list and the observable distance of each RSO, and counts the time from when the RSO is detected by the fence beam during the observation period T until it goes out of the coverage area. An observable time f _time (ID _k ) that is an index value of 2 can be calculated.

In the next step ST19, the index calculation unit 30 predicts the RSO tracking available time f _track (ID _k ) by calculation. Specifically, the index calculation unit 30 refers to the RSO list and the observable distance of the RSO, and compares the RSO that can be tracked continuously from the previous specified time T _n-1 within the specified time T _n . By counting the time until the RSO goes out of the coverage area, it is possible to calculate the _trackable time f _track (ID _k ) that is the third index value.

Thereafter, the operation state determination unit 31 calculates an evaluation value F _k (Ω _m ; T _n ) in RSO units for evaluating the observation operation state candidate Ω _m at the specified time T _n (step ST20). Specifically, the operation state determination unit 31 has the first to third index values f _num (ID _k ), f _time (ID _k ), f _track (ID) as shown in the following equation (1). The evaluation value F _k (Ω _m ; T _n ) in RSO units can be calculated by linear combination of _k ).

In the above equation (1), the linear combination coefficient b is a weighting coefficient that is greater than or equal to zero and less than or equal to 1, the linear combination coefficient c is a positive constant for adjusting the evaluation value, and the linear combination coefficient d is greater than or equal to zero. And a weighting coefficient of 1 or less. These weighting coefficients b, c, and d are values that can be set to values designated by an operation input by the user. A control plan desired by the user can be created by adjusting these weighting coefficients b, c, and d. For example, by increasing the value of the weighting coefficient b, it is possible to improve the evaluation of the observation operation state in which the number of RSOs that can be detected in the designated time T _n is increased. The coefficient c is obtained by aligning the number of RSO detectable and the order of the evaluation values to obtain the first to third index values f _num (ID _k ), f _time (ID _k ), and f _track (ID _k ). It is a value for balancing the whole.

Further, TE in the above equation (1) is a value called a drive error coefficient. The drive error coefficient TE is a value that increases the penalty of the evaluation value as the drive rotation angle of the radar apparatus from the previous specified time T _n−1 increases. This is a value considering an error caused by driving the radar apparatus. Note that the penalty value per degree can be set to a value designated by an operation input by the user.

Further, A _k in the above equation (1) is a priority coefficient weighted to the whole of the first to third index values f _num (ID _k ), f _time (ID _k ), and f _track (ID _k ). It is. The priority coefficient A _k is a weighting factor that varies specified time unit for each RSO, depends on the observation priority is set by the user's operation input, to the non-observation time length from the time the previously observed It is a set value. Therefore, priority coefficient A _k that correspond to RSO high observation priority by the user is set in a high value. Further, the priority coefficient A _k is also high value corresponding to the RSO it has been a long time since the time was last observed. In this way, the observation operation state candidate Ω _m so that the RSO for which a higher observation priority is set by the user or the RSO that has passed for a long time since the previous observation can be preferentially observed. Can be evaluated.

  Thereafter, when the RSO number k has not reached the upper limit K (NO in step ST21), the operation state determination unit 31 increments the RSO number k by 1 (step ST22), and then executes steps ST17 to ST20. To do.

On the other hand, when the RSO number k has reached the upper limit value K (YES in step ST21), the operation state determination unit 31 performs the overall evaluation value F (Ω _m ; T for all RSOs) according to the following equation (2). _n ) is calculated (step ST23).

Thereafter, the current overall evaluation value F (Ω _m ; T _n ) is higher than the existing overall evaluation value F (Ω _ο ; T _n ) (ο ≠ m) that has been calculated so far for the specified time T _n the (YES in step ST24), operation status determination unit 31 updates the allocation of the observed operating conditions for the specified time _{T n} (step ST25). That is, instead of the candidate _Ωο having the highest overall evaluation value F (Ω _ο ; T _n ) so far, the current candidate Ω _m is assigned to the designated time T _n . On the other hand, when the current overall evaluation value F (Ω _m ; T _n ) is not higher than the existing overall evaluation value that has been calculated so far (NO in step ST21), the operation state determination unit 31 performs the next step ST26. Shift processing to.

In step ST26, numbers m of candidate Omega _m is whether the host vehicle has reached the upper limit value M is determined. When the number m has not reached the upper limit M (NO in step ST26), the operation state determination unit 31 increments the number m by 1 and selects the next observation operation state (step ST27), and the process proceeds to step ST16. Shift processing.

On the other hand, (YES in step ST26) when the number m reaches the upper limit value M, the operation state determination unit 31, to confirm the observed operating state assigned to specified time T _n, further, number of the specified time T _n It is determined whether n has reached the upper limit value N (step ST28). When the number n has not reached the upper limit value N (NO in step ST28), the operation state determination unit 31 increments the number n by 1 and selects the next designated time (step ST29), and the process proceeds to step ST15. To migrate. Finally, when it is determined that the number n has reached the upper limit value N (YES in step ST28), the control plan generation process ends. For example, when the observation period T is 24 hours (= 86400 seconds) and the designated time for one time is 30 seconds, the optimum observation operation state can be determined for each of the ₂₈₈₀ designated times T _{1 to} T _2880. .

The operation state determination unit 31 supplies data indicating the generated control plan to the control plan execution unit 3. FIG. 7 is a diagram illustrating an example of the generated control plan. In the example of FIG. 7, observation operation states Ω _α , Ω _β , Ω _γ , Ω _δ ,... _Are assigned to designated times T ₁ , T ₂ , T ₃ , T ₄ ,. Control plan execution unit 3 one or a plurality of radar apparatuses constituting the can efficiently observe the number of RSO by operating the observation operation state specified by the control plan for each specified time T _n. If this observation result is used, it becomes possible to update the orbit information of RSO to the latest version.

  The hardware configuration of the control plan generation apparatus 2 can be realized by a computer with a CPU (Central Processing Unit) such as a workstation or a main frame. Alternatively, the hardware configuration of the control plan generation device 2 is an LSI (Large Realized Gate Array) such as DSP (Digital Signal Processor), ASIC (Application Specific Integrated Circuit), or FPGA (Field-Programmable Gate Array). Also good.

  FIG. 8 is a block diagram schematically illustrating a hardware configuration example of the control plan generation device 2. In the example of FIG. 8, the control plan generation apparatus 2 includes a processor 40 including a CPU, a memory 41, a sensor interface unit 42, a display interface unit 43, and an input interface unit 44. The processor 40, the sensor interface unit 42, The display interface unit 43 and the input interface unit 44 are connected to each other via a signal path 45 such as a bus circuit.

  The processor 40 is hardware that realizes the functions of the position calculation unit 21, the control plan generation unit 22, and the data editing processing unit 23 described above. The sensor interface unit 42 can communicate with the control plan execution unit 3 and output control plan data to the control plan execution unit 3. The display interface unit 43 is connected to the display device 4, and the input interface unit 44 is connected to the operation input unit 5. The data storage unit 10 can be realized by the memory 41. As the memory 41, for example, a nonvolatile memory such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive) can be used.

As described above, the control plan generation apparatus 2 according to the present embodiment has the first to first calculated based on the specification data indicating the performance specifications of the sensor device and the coordinate information indicating the location of each observation target. A control plan can be generated using the third index values f _num (ID _k ), f _time (ID _k ), and f _track (ID _k ). Therefore, by utilizing the trajectory information of RSO's orbiting, “it is known to appear at a certain time, at a certain position”, the flying object to be monitored can be observed efficiently and without bias. It is possible to create a control plan.

  As mentioned above, although embodiment which concerns on this invention was described with reference to drawings, this embodiment is an illustration of this invention, Various forms other than this embodiment can also be employ | adopted. For example, the observation target of the present embodiment is not limited to a flying object that exists in the orbit of the earth, but may be a flying object that exists in the orbit of another planet or a star.

  Moreover, although the observation system 1 of the said embodiment uses the radar apparatus as a suitable sensor apparatus, it is not limited to this. The configuration of the control plan generation device 2 may be changed as appropriate so that a sensor device (for example, an optical telescope) other than the radar device can be used.

  It should be noted that within the scope of the present invention, any combination of the constituent elements of the above-described embodiment, modification of any constituent element of the above-described embodiment, or omission of any constituent element of the above-described embodiment is possible.

  DESCRIPTION OF SYMBOLS 1 Observation system, 2 Control plan production | generation apparatus, 3 Control plan execution part, 4 Display apparatus, 5 Operation input part, 10 Data storage part, 11 Orbit information storage part, 12 Observable distance data storage part, 13 Priority data storage part , 14 sensor specification storage unit, 15 control plan storage unit, 21 position calculation unit, 22 control plan generation unit, 23 data editing processing unit, 24 interface unit (I / F unit), 30 index calculation unit, 31 operation state determination Part, 35 RSO, 40 processor, 41 memory, 42 sensor interface part, 43 display interface part, 44 input interface part, 45 signal path.

Claims (15)

A control plan generation device that generates a control plan used by a sensor device that observes a plurality of observation targets,
A position calculation unit that obtains orbit information of each observation target and calculates coordinate information indicating the position of each observation target in an observation period using the orbit information;
A control plan generating unit that generates a control plan for determining an observation operation state of the sensor device for the plurality of observation targets for each specified time in the observation period;
The control plan generation unit, an index based on said specification data and the coordinate information indicating the sensor equipment performance specifications, indicates the degree that can the sensor device for each of the specified time to observe the respective observation target And generating the control plan by determining one observation operation state from among a plurality of observation operation state candidates of the sensor device based on the indicator, based on the indicator. Plan generator.   2. The control plan generation device according to claim 1, wherein the index includes a first index value indicating whether or not each observation target can be detected at each specified time, and the index at each specified time. 1 selected from a second index value indicating a time length in which each observation target can be detected and a third index value indicating a time length in which each observation target can be tracked at each specified time A control plan generation device comprising at least two index values.   The control plan generation device according to claim 1 or 2, wherein the control plan generation unit uses the index to evaluate a plurality of evaluation values for each of the observation operation state candidates at each specified time. And generating the control plan by determining one observation operation state from the plurality of candidates based on the plurality of evaluation values. The control plan generation device according to claim 2,
The control plan generation unit uses the index to calculate a plurality of evaluation values for evaluating each of the plurality of observation operation state candidates at each specified time, and based on the plurality of evaluation values, The control plan is generated by determining one observation operation state from the inside,
Each evaluation value is calculated by linearly combining a plurality of index values selected from the first index value, the second index value, and the third index value. Control plan generator.   5. The control plan generation device according to claim 4, wherein each of the evaluation values includes a plurality of weighting factors that are respectively weighted to the plurality of index values as linear combination coefficients. The control plan generation device according to claim 5, further comprising a data editing processing unit that receives an operation input by a user,
The data editing processing unit sets each of the linear combination coefficients to a value specified by the operation input.   6. The control plan generation device according to claim 1, wherein each of the evaluation values includes a priority coefficient that is weighted to the index. The control plan generation device according to claim 7,
The priority coefficient is set to a value according to the observation priority of each observation target,
The control plan generation device, wherein the control plan generation unit increases the value of the priority coefficient as the observation priority value increases. The control plan generation device according to claim 8, further comprising a data editing processing unit that receives an operation input by a user,
The data editing processing unit sets the observation priority to a value specified by the operation input.   The control plan generation device according to any one of claims 7 to 9, wherein the control plan generation unit sets the value of the priority coefficient as the unobserved time of each observation target increases. A control plan generator characterized by being enlarged.   The control plan generation device according to any one of claims 1 to 10, wherein the plurality of observation targets include flying objects that exist on a planetary orbit. Generator. A control plan generation device according to any one of claims 1 to 11,
An observation system comprising: a sensor device that observes a plurality of observation targets according to a control plan generated by the control plan generation device.   13. The observation system according to claim 12, wherein the sensor device includes a radar device that irradiates each of the plurality of observation targets with a radar wave and observes the plurality of observation targets. A control plan generation method executed in an information processing apparatus,
Obtaining orbit information of each of a plurality of observation targets to be observed by the sensor device;
Calculating coordinate information indicating the position of each observation target in the observation period using the orbit information;
Calculating an index based on said specification data and the coordinate information indicating the sensor equipment performance specifications, indicates the degree that can the sensor device for each specified time in the observation period to observe the respective observation target When,
And generating a control plan by determining one observation operation state from among a plurality of observation operation state candidates of the sensor device based on the index at the specified time. Generation method.   15. The control plan generation method according to claim 14, wherein the index includes a first index value indicating whether or not each observation target can be detected at each specified time, and at each specified time. 1 selected from a second index value indicating a time length in which each observation target can be detected and a third index value indicating a time length in which each observation target can be tracked at each specified time A control plan generation method comprising two or more index values.

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