Information processing method, information processing device, and program

Abstract

This information processing device: acquires analysis model information for performing a state estimation of a structure, and plan information including an installation site of a measuring instrument for measuring a physical quantity related to the state of the structure; calculates, on the basis of the acquired analysis model information and plan information, an index value of the degree to which the installation site contributes to the accuracy of the state estimation; and outputs results information including the calculated index value.

Description

Information processing method, information processing device, and program

[0001] The present disclosure relates to an information processing method, an information processing device, and a program.

[0002] Patent Document 1 discloses a state estimation system according to the background art. The system is a system for estimating the state of a liquefied gas tank installed on a ship, and includes a measurement unit, a calculation unit, a data assimilation unit, and an evaluation unit. The measurement unit includes a measuring instrument that measures a state related to the strength of the liquefied gas tank. The calculation unit calculates the state related to the strength of the liquefied gas tank using a pre-analysis model. The data assimilation unit updates the pre-analysis model by data assimilation using measurement results acquired by the measurement unit. The evaluation unit evaluates the state of the liquefied gas tank based on the calculation results output from the calculation unit.

[0003] In Patent Document 1, no detailed consideration is given to optimizing the installation location of the measuring instrument.

[0004] International Publication No. 2022 / 145287

[0005] An object of the present disclosure is to provide an information processing method, an information processing device, and a program that are capable of optimizing the installation location of measuring instruments.

[0006] In an information processing method according to one aspect of the present disclosure, an information processing device acquires analytical model information for estimating the state of a structure and planning information including installation locations of measuring instruments for measuring physical quantities related to the state of the structure, calculates an index value of the contribution that the installation locations have to the accuracy of the state estimation based on the acquired analytical model information and the planning information, and outputs result information including the calculated index value.

[0007] An information processing device according to another aspect of the present disclosure includes an acquisition unit that acquires analytical model information for estimating the state of a structure and planning information including installation locations of measuring instruments that measure physical quantities related to the state of the structure, a calculation unit that calculates an index value of the contribution that the installation locations make to the accuracy of the state estimation based on the analytical model information and the planning information acquired by the acquisition unit, and an output unit that outputs result information including the index value calculated by the calculation unit.

[0008] A program according to yet another aspect of the present disclosure causes an information processing device to function as an acquisition means for acquiring analytical model information for estimating the state of a structure and planning information including installation locations of measuring instruments for measuring physical quantities related to the state of the structure, a calculation means for calculating an index value of the contribution of the installation locations to the accuracy of the state estimation based on the analytical model information and the planning information acquired by the acquisition means, and an output means for outputting result information including the index value calculated by the calculation means.

[0009] According to the present disclosure, it is possible to optimize the installation locations of measuring instruments by outputting an index value of the degree of contribution that the installation locations of measuring instruments make to the accuracy of state estimation of a structure.

[0010] It is a figure which shows the liquefied gas storage ship which is the ship to which the state estimation system is applied. It is a figure which shows the configuration of the design support device based on the embodiment of the present disclosure. It is a flowchart which shows the flow of the process which an information processing part executes. It is a figure which shows a simplified example of the screen which shows the result information.

[0011] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. Elements with the same reference numerals in different drawings indicate the same or corresponding elements.

[0012] Figure 1 shows a liquefied gas storage ship 3, which is a ship to which a marine liquefied gas tank state estimation system (hereinafter simply referred to as the "state estimation system") 1 is applied. The liquefied gas storage ship 3 comprises a hull 5 that floats on water, and a liquefied gas tank (hereinafter simply referred to as the "tank") 7 that is installed in the hull 5 and stores liquefied gas.

[0013] In this specification, the term "liquefied gas storage ship" refers to a ship in general that has the function of storing liquefied gas. In this embodiment, the liquefied gas storage ship 3 is a liquefied gas carrier. However, in addition to liquefied gas carriers, the liquefied gas storage ship 3 also includes, for example, a liquefied gas fuel ship and a bunkering ship that supplies liquefied gas to other ships.

[0014] Pipes (not shown) are attached to the tank 7 for transporting liquefied gas between the tank 7 and the outside, for example, an onshore liquefied gas storage base. In the illustrated example, the tank 7 has a dome portion 7a that protrudes upward, and one end of the pipes is attached to this dome portion 7a. The pipes extend from the inside of the tank 7 through the dome portion 7a to the outside of the tank 7.

[0015] The liquefied gas stored in the tank 7 may be, for example, liquefied petroleum gas (LPG, approximately -45°C), liquefied ethylene gas (LEG, approximately -100°C), liquefied natural gas (LNG, approximately -160°C), liquefied hydrogen (LH2, approximately -250°C), or liquefied helium (LHe, approximately -270°C).

[0016] In this embodiment, liquefied hydrogen is stored in the tank 7.

[0017] In this embodiment, two tanks 7 are installed in the hull 5 of the liquefied gas storage ship 3. These two tanks 7 are lined up in the longitudinal direction of the hull 5. However, the number of tanks 7 installed in the hull 5 may be one, or three or more. Since each tank 7 has the same configuration, only one tank 7 will be described in this specification.

[0018] The tank 7 in the illustrated example is an independent tank 7 formed independently from the hull 5. The tank 7 has a cylindrical shape with both ends bulging out like domes. The top of the tank 7 is covered by a tank cover 9 that is provided integrally with the hull 5. The shape of the tank 7 is not limited to this example, and may be, for example, spherical or rectangular.

[0019] In this embodiment, the tank 7 is configured as a double-shell tank 7 having an inner tank 11 and an outer tank 13. For example, a vacuum insulation layer is formed between the inner tank 11 and the outer tank 13. However, the configuration of the tank 7 is not limited to this example. For example, the tank 7 may be a single-shell tank covered with insulation material. In this case, the insulation material may be composed of, for example, multiple vacuum insulation panels or multiple foam panels.

[0020] The hull 5 is formed with a recess 15 in which each tank 7 is installed, and this recess 15 is divided into two cells by a partition wall 17 between the tanks 7. A pair of tank support members 21 is arranged on the bottom wall 19 of each cell. The pair of tank support members 21 support the tank 7 at positions spaced apart from each other in the axial direction of the tank 7. Each tank support member 21 protrudes from the bottom wall 19. By being installed on the tank support members 21, the tank 7 is supported in a state spaced apart from each wall forming the cell of the hull 5. In this embodiment, the tank 7 is attached to the hull 5 with this configuration.

[0021] Furthermore, an inner tank support member 23 that supports the inner tank 11 is disposed between the inner tank 11 and the outer tank 13. In this example, the inner tank support member 23 is provided on an extension of the tank support member 21. The inner tank 11 and the outer tank 13 are connected by this inner tank support member 23. The inner tank 11 is supported on the hull 5 via the inner tank support member 23 and the outer tank 13. The inner tank support member 23 may be fixed to only one of the inner tank 11 or the outer tank 13 and be in contact with the other, or may be fixed to both. Furthermore, the inner tank support member 23 does not have to be provided on an extension of the tank support member 21, and may be provided at a position offset from the tank support member 21 in the longitudinal direction of the ship.

[0022] The manner in which the tank 7 is supported relative to the hull 5 is not limited to the example described above, and may be selected appropriately depending on the structures of the tank 7 and the hull 5. For example, if the tank 7 is spherical, a cylindrical tank support member 21 that supports the tank 7 relative to the hull 5 and a cylindrical inner tank support member 23 that is interposed between the inner tank 11 and the outer tank 13 can be used.

[0023] Next, a state estimation system 1 for estimating the state of the liquefied gas tank 7 having the above configuration and a state estimation method using this system will be described. As shown in Figure 1, the state estimation system 1 includes a measurement unit 31, a calculation unit 33, a data assimilation unit 35, and an evaluation unit 37.

[0024] The measuring unit 31 is equipped with a measuring instrument 39 that measures physical quantities related to the state of the liquefied gas tank 7, such as its strength, and measures the physical quantities using the measuring instrument 39. The "state of the liquefied gas tank 7, such as its strength" measured by the measuring instrument 39 of the measuring unit 31 is, for example, the degree of deformation (distortion) of the target portion or accumulated fatigue damage. The measuring instrument 39 equipped in the measuring unit 31 is, for example, a strain sensor that measures the degree of distortion as the physical quantity, or a fatigue sensor that measures the amount of cracks required to calculate the accumulated fatigue damage as the physical quantity. The measuring instrument 39 may be a sensor that measures only one type of these parameters, or multiple types of sensors that measure multiple types of parameters.

[0025] In this embodiment, the measuring instruments 39 are attached to portions that form a load transfer path LP (hereinafter simply referred to as the "load transfer path") from the tank 7 to the hull 5. More specifically, in this example, the measuring instruments 39 are attached to the tank support member 21 and the inner tank support member 23, which are portions that form the load transfer path LP.

[0026] More specifically, the measuring instrument 39 is attached, for example, to the tank support member 21 near the portion that contacts the tank 7 and near the portion that is connected to the hull 5. The measuring instrument 39 is attached, for example, to the inner tank support member 23 near the portion that contacts the inner tank 11 and the outer tank 13.

[0027] In this way, by attaching the measuring instruments 39 to the load transfer path LP, which is a portion prone to strength reduction due to fatigue, the condition of the tank 7 can be measured efficiently. Note that the portions forming the load transfer path LP where the measuring instruments 39 are attached are not limited to the tank support members 21 and the inner tank support member 23 exemplified above, but also include the vicinity of these members 21, 23 on the tank 7 and the hull 5. The measuring instruments 39 may be attached to other portions instead of or in addition to the load transfer path LP. Furthermore, the measuring instruments 39 may be attached to the hull 5 as long as they are portions that can affect the strength of the tank 7. The installation locations and number of measuring instruments 39 on the tank 7 or the hull 5 are optimized during the design stage by a design support system 50, which will be described later.

[0028] The calculation unit 33 calculates the strength-related state of the tank 7 using a pre-analysis model. The pre-analysis model is an example of analytical model information for estimating the state of a structure. In the pre-analysis model, conditions such as material properties, boundary conditions, and load conditions at the time of designing the hull 5 and the tank 7 are set. The calculation unit 33 calculates the strength-related state of the tank 7, such as stress and strain, using this pre-analysis model.

[0029] The data assimilation unit 35 updates the pre-analysis model through data assimilation using the measurement results acquired by the measurement unit 31. Data assimilation is a method of statistically correcting uncertainties in a numerical model using actual measured values. In this embodiment, the data assimilation unit 35 compares the various conditions and parameters set in the numerical analysis model used in the calculation unit 33 with the measurement results acquired by the measurement unit 31, and if there is a significant difference, updates the pre-analysis model by making corrections using the measurement results.

[0030] The evaluation unit 37 evaluates the state of the liquefied gas tank 7 based on the calculation results output from the calculation unit 33. Specifically, the evaluation unit 37 calculates the value of cumulative fatigue damage based on the values ​​of stress, strain, etc. output from the calculation unit 33, and evaluates whether immediate repair is necessary or the estimated period until repair becomes necessary.

[0031] In this embodiment, the evaluation unit 37 evaluates the strength of the tank 7, which is the object of estimation, by structural reliability analysis. In the structural reliability analysis, the probability that the target structure will suffer fatigue damage, static fracture, brittle fracture, etc., during a predetermined period is calculated. In the example of this embodiment, the evaluation unit 37 uses the structural reliability analysis to calculate the probability that fatigue damage will occur in the tank 7 during the above-mentioned assumed operation period. Specific methods that can be used for the structural reliability analysis include, for example, commonly known numerical integration methods, Monte-Carlo simulation methods, first-order reliability assessment methods, second-order reliability assessment methods, higher-order moment methods, importance sampling methods, and response surface methods.

[0032] By performing the evaluation using the structural reliability analysis in this way, it becomes possible to output the evaluation results on the state of the tank 7 as more practical information such as the need for repairs, etc. However, the evaluation of the state of the tank 7 by the evaluation unit 37 may be output as a definitive value of cumulative fatigue damage without using the structural reliability analysis.

[0033] The condition estimation system 1 may further include a notification unit 43 that notifies, in an appropriate manner, the results of the evaluation by the evaluation unit 37. The notification unit 43 is configured to display a warning to perform repairs or to avoid inclement weather, for example, depending on the degree of fatigue strength deterioration and the probability of fatigue damage occurring within a predetermined short period of time.

[0034] The tank 7 to which the state estimation system 1 and the state estimation method are applied is not limited to the above example. For example, the tank 7 may be a rectangular independent tank, or may be a so-called membrane tank that is not independent but is formed integrally with the hull 5. Furthermore, the tank 7 is not limited to the tank 7 and may be any structure.

[0035] 2 is a diagram showing the configuration of a design support device 50 according to an embodiment of the present disclosure. The design support device 50 may be configured as a dedicated terminal, may be configured using a general-purpose computer, or may be configured as a server device. Furthermore, the functions of the design support device 50 may be distributed and implemented across multiple devices.

[0036] The design support device 50 includes an information processing unit 51, an input unit 52, a storage unit 53, and a display unit 54.

[0037] The input unit 52 is configured using any input device such as a mouse, a keyboard, or a touch panel.

[0038] The display unit 54 is configured using any display device such as a liquid crystal display or an organic EL display.

[0039] The storage unit 53 is configured using an HDD, an SSD, a semiconductor memory, etc. The storage unit 53 stores analysis model information 71, plan information 72, and cost information 73. However, the cost information 73 may be omitted.

[0040] The analysis model information 71 is a model for estimating the state of a structure, and in this embodiment corresponds to the above-mentioned pre-analysis model for estimating the state of the tank 7 regarding its strength.

[0041] The plan information 72 includes design information regarding the installation locations and number of installation points of the measuring instruments 39. The plan information 72 includes multiple pieces of plan information in which at least one of the installation locations and the number of installation points differs. However, by fixing the number of installation points at each installation location to a predetermined number (for example, "1"), the information on the number of installation points may be omitted.

[0042] The cost information 73 is information relating to the installation costs required to install the measuring instruments 39. The cost information 73 includes an item cost DB (database) 81 and an installation cost DB 82. The item cost DB 81 is a database showing item costs according to the unit price of the measuring instruments 39, and the item costs vary depending on the type of measuring instrument 39. The installation cost DB 82 is a database showing installation costs such as material costs and labor costs associated with installing the measuring instruments 39, and the installation costs vary depending on the installation location of the measuring instruments 39.

[0043] The information processing unit 51 is configured using a processor such as a CPU. The information processing unit 51 includes an acquisition unit 61, a calculation unit 62, and an output unit 63 as functions realized by the processor executing a program read from a non-volatile recording medium such as a computer-readable ROM. In other words, the program causes the information processing unit 51, which is an information processing device mounted on the design support device 50, to function as the acquisition unit 61 (acquisition means), the calculation unit 62 (calculation means), and the output unit 63 (output means).

[0044] FIG. 3 is a flowchart showing the flow of processing executed by the information processing unit 51.

[0045] First, in step SP01 , the acquisition unit 61 acquires the analysis model information 71 , the plan information 72 , and the cost information 73 by reading them from the storage unit 53 .

[0046] Next, in step SP02, the calculation unit 62 calculates an index value of the degree of contribution that the installation location of the measuring instrument 39 makes to the accuracy of state estimation of the analytical model information 71, based on the analytical model information 71 and the plan information 72 acquired by the acquisition unit 61. As will be described later, in the example of this embodiment, the minimum eigenvalue of the empirical observability Gramian is used as the index value, but the present invention is not limited to this example.

[0047] Next, in step SP03, the calculation unit 62 calculates a cost value required to install the measuring device 39 in accordance with the plan information 72, based on the cost information 73 and plan information 72 acquired by the acquisition unit 61. Note that step SP03 may be executed before step SP02, or step SP02 and step SP03 may be executed simultaneously.

[0048] Next, in step SP04, the output unit 63 generates and outputs result information including the index values ​​and cost values ​​calculated by the calculation unit 62. The result information output by the output unit 63 is input to the display unit 54. In the example of the present embodiment, the result information is image data of a screen 90 including a graph displaying the correspondence between the plan information 72, the index values, and the cost values, but is not limited to this example. By visually checking the screen 90 displayed on the display unit 54, the user can compare and consider multiple pieces of result information corresponding to multiple pieces of plan information. For example, by adopting the plan information that produced the best results, the installation locations and number of measuring instruments 39 can be optimized at the design stage.

[0049] In addition, the calculation unit 62 may calculate a weighted sum of the index value and the cost value using a weighting coefficient as an evaluation value, and the output unit 63 may output the evaluation value, thereby automatically selecting the optimal plan information based on the evaluation value.

[0050] FIG. 4 is a simplified diagram showing an example of a screen 90 displaying result information.

[0051] The upper left area of ​​the screen 90 displays multiple measurement patterns P1 to P3 corresponding to multiple pieces of plan information included in the plan information 72. In this example, measurement pattern P1 includes three measuring instruments 39 indicated by circles, measurement pattern P2 includes four measuring instruments 39 indicated by squares, and measurement pattern P3 includes six measuring instruments 39 indicated by crosses.

[0052] In the lower left area of ​​the screen 90, a contour diagram is displayed in which the magnitude of the contribution level is color-coded according to the installation location of the measuring instrument 39.

[0053] A graph is displayed in the right area of ​​the screen 90, plotting the results of each measurement pattern P1 to P3, with the horizontal axis representing cost values ​​and the vertical axis representing contribution index values. A line L passing through the origin O indicates a boundary line arbitrarily set by the user. The user can adopt plan information whose results are plotted in the area above line L (measurement pattern P1 in this example), but cannot adopt plan information whose results are plotted in the area below line L (measurement patterns P2 and P3 in this example).

[0054] The method of calculating the index value by the calculation unit 62 will be described in detail below.

[0055] The state equations of the system are shown by equations (1) and (2).

[0056]

[0057]

[0058] x ｔ is a state vector, which represents the state (such as nodal displacements or stresses) at a certain time t.

[0059] f(•) is a simulation model, for example, an analytical model using FEM (Finite Element Method).

[0060] v ｔ is the system noise, a vector representing the uncertainty of the simulation.

[0061] y ｔ is the observation vector, and x ｔ represents a vector of observations taken from

[0062] H is the observation matrix, and x ｔ The installation locations of the measuring instruments 39 in each piece of plan information are given by the observation matrix H.

[0063] w ｔ is the observation noise, which represents the uncertainty of the observation.

[0064] In the case of a linear system, equation (1) is expressed as a linear combination of equation (3).

[0065]

[0066] In this case, the observability Gram matrix G in Equation (4) ０ If is regular, it can be determined that the state can be estimated, and the observable Gram matrix G ０ The merits of the measurement points can be evaluated based on the magnitude of the eigenvalues ​​of . In equation (4), τ represents an integral variable. Note that observability refers to an index that determines whether the state of a system can be estimated from measured values.

[0067]

[0068] On the other hand, in the case of a nonlinear system, the observability Gram matrix G ０ Therefore, in the case of a nonlinear system, the observability Gram matrix G ０ Instead, the empirical observability Gram matrix G ０ ' is used, and for example, the minimum eigenvalue is used as an index value indicating the degree of contribution to the state estimation accuracy. ０ The minimum eigenvalue, the maximum eigenvalue, the trace, or the average value of these, etc. of ' may be used, and may be arbitrarily selected by the user, the service provider, etc.

[0069]

[0070] Y in formula (5) ｋ is given by equation (6), where k is the time step.

[0071]

[0072] In equation (6), n represents the number of perturbations defined by the user, which will be described later.

[0073] Δy(k, n) in equation (6) is given by equation (7). This is because the initial value x ０ A small perturbation δu ｎ y is added to the observation vector y.

[0074]

[0075] In equation (7), ρ is the perturbation δu ｎ is the norm of , given by equation (8).

[0076]

[0077] In the above example, the calculation unit 62 calculates the index value using a function formula, but as a modified example, the calculation unit 62 may be configured to calculate the index value using a trained model based on machine learning, a lookup table, or the like.

[0078] Below, perturbation δu ｎ An example of how to obtain this will be described.

[0079] First, the simulation state vector x ｔ For the snapshot matrix X of equation (9) in which the matrixes are arranged so as to evolve over time in the column direction, a variance-covariance matrix S of equation (10) is defined.

[0080]

[0081]

[0082] Next, eigenvalue decomposition (principal component analysis) of the variance-covariance matrix S is performed to obtain eigenvalues ​​and eigenvectors. In order to simplify the calculation, singular value decomposition is actually performed under the condition of equation (11), and the diagonal matrix D in equation (12) is obtained. ２ Each value of U is an eigenvalue, and each column of U is an eigenvector.

[0083]

[0084]

[0085] Finally, the obtained eigenvalues ​​are sorted in descending order. The number of eigenvalues ​​to be used, c, is arbitrarily determined, and the eigenvectors corresponding to the eigenvalues ​​are perturbed by δu ｎ (1<n<c).

[0086] The functions of each element, including the information processing unit 51, disclosed in this disclosure can be performed using circuits or processing circuits, including general-purpose processors, special-purpose processors, integrated circuits, ASICs (Application Specific Integrated Circuits), conventional circuits, and / or combinations thereof, configured or programmed to perform the disclosed functions. A processor is considered a processing circuit or circuit because it includes transistors and other circuits. In this disclosure, a circuit, unit, or means is hardware that performs the recited functions or hardware programmed to perform the recited functions. The hardware may be hardware disclosed herein or other known hardware that is programmed or configured to perform the recited functions. In the case of a processor, which is considered a type of circuit, the hardware, circuit, means, or unit is a combination of hardware and software, and the software is used to configure the hardware and / or processor.

[0087] According to the design support device 50 of this embodiment, an index value of the contribution that the installation location of the measuring instrument 39 has to the accuracy of state estimation of the tank 7 is calculated, and result information including the calculated index value is output, thereby making it possible to optimize the installation location of the measuring instrument 39 according to the accuracy of state estimation.

[0088] Furthermore, since the plan information 72 includes the number of measuring instruments 39 to be installed, it becomes possible to optimize the number of measuring instruments 39 to be installed depending on the accuracy of the state estimation.

[0089] Furthermore, by using the cost information 73, it is possible to optimize the installation location of the measuring instrument 39 according to the installation cost of the measuring instrument 39.

[0090] Furthermore, since the cost information 73 includes the item cost DB 81 and the construction cost DB 82, it becomes possible to calculate an appropriate installation cost.

[0091] Furthermore, since the result information is image data of a screen 90 including a graph displaying the correspondence between the plan information 72 and the index value, it is possible to present the correspondence between the plan information 72 and the index value in an easy-to-understand manner to the user.

[0092] Furthermore, since the structure is a liquefied gas tank installed on a ship, it is possible to estimate the state of the liquefied gas tank installed on the ship using a highly accurate analytical model.

[0093] <Summary of the Present Disclosure> The above-described embodiments of the present disclosure can be summarized as follows.

[0094] In an information processing method according to a first aspect of the present disclosure, an information processing device acquires analytical model information for estimating the state of a structure and planning information including installation locations of measuring instruments that measure physical quantities related to the state of the structure, calculates an index value of the contribution that the installation locations make to the accuracy of the state estimation based on the acquired analytical model information and the planning information, and outputs result information including the calculated index value.

[0095] According to the first aspect, by calculating an index value of the contribution that the installation location of the measuring instrument makes to the accuracy of the state estimation of the structure and outputting result information including the calculated index value, it is possible to optimize the installation location of the measuring instrument according to the accuracy of the state estimation.

[0096] In the information processing method according to the second aspect of the present disclosure, in the first aspect, the plan information may further include the number of measuring instruments to be installed.

[0097] According to the second aspect, it is possible to further optimize the number of measuring instruments to be installed depending on the accuracy of state estimation.

[0098] In the information processing method according to the third aspect of the present disclosure, in the first or second aspect, cost information regarding the installation costs required to install the measuring instrument is further acquired, and based on the cost information and the planning information, a cost value required to install the measuring instrument in accordance with the planning information is further calculated, and the result information may further include the calculated cost value.

[0099] According to the third aspect, it is possible to further optimize the installation locations of the measuring instruments depending on the installation costs of the measuring instruments.

[0100] In the information processing method according to a fourth aspect of the present disclosure, in the third aspect, the installation cost may include an item cost according to a unit price of the measuring device and a construction cost according to the installation location.

[0101] According to the fourth aspect, it is possible to calculate an appropriate installation cost.

[0102] In the information processing method according to a fifth aspect of the present disclosure, in any one of the first to fourth aspects, the result information may include a graph displaying a correspondence relationship between the plan information and the index value.

[0103] According to the fifth aspect, it is possible to present the correspondence between the plan information and the index value in an easily understandable manner to the user.

[0104] An information processing device according to a sixth aspect of the present disclosure includes an acquisition unit that acquires analytical model information for estimating the state of a structure and planning information including installation locations of measuring instruments that measure physical quantities related to the state of the structure, a calculation unit that calculates an index value of the contribution that the installation locations have to the accuracy of the state estimation based on the analytical model information and the planning information acquired by the acquisition unit, and an output unit that outputs result information including the index value calculated by the calculation unit.

[0105] According to the sixth aspect, by calculating an index value of the contribution that the installation location of the measuring instrument makes to the accuracy of the state estimation of the structure and outputting result information including the calculated index value, it becomes possible to optimize the installation location of the measuring instrument according to the accuracy of the state estimation.

[0106] A program according to a seventh aspect of the present disclosure is a program for causing an information processing device to function as: an acquisition means for acquiring analytical model information for estimating the state of a structure and planning information including installation locations of measuring instruments for measuring physical quantities related to the state of the structure; a calculation means for calculating an index value of the contribution of the installation locations to the accuracy of the state estimation based on the analytical model information and the planning information acquired by the acquisition means; and an output means for outputting result information including the index value calculated by the calculation means.

[0107] According to the seventh aspect, by calculating an index value of the contribution that the installation location of the measuring instrument makes to the accuracy of the state estimation of the structure and outputting result information including the calculated index value, it becomes possible to optimize the installation location of the measuring instrument according to the accuracy of the state estimation.

Claims

1. An information processing method, comprising: an information processing device that acquires analytical model information for estimating the state of a structure and planning information including installation locations of measuring instruments that measure physical quantities related to the state of the structure; calculates an index value of the contribution that the installation locations make to the accuracy of the state estimation based on the acquired analytical model information and planning information; and outputs result information including the calculated index value.

2. The information processing method according to claim 1, wherein the planning information further includes the number of measuring instruments to be installed.

3. The information processing method of claim 1, further comprising: acquiring cost information relating to the installation cost required to install the measuring instrument; and, based on the cost information and the planning information, further calculating a cost value required to install the measuring instrument according to the planning information; and the result information further including the calculated cost value.

4. The information processing method according to claim 3, wherein the installation cost includes a material cost according to a unit price of the measuring device and a construction cost according to the installation location.

5. The information processing method according to claim 1, wherein the result information includes a graph displaying the correspondence between the plan information and the index value.

6. An information processing device comprising: an acquisition unit that acquires analytical model information for estimating the state of a structure and planning information including installation locations of measuring instruments that measure physical quantities related to the state of the structure; a calculation unit that calculates an index value of the contribution of the installation locations to the accuracy of the state estimation based on the analytical model information and the planning information acquired by the acquisition unit; and an output unit that outputs result information including the index value calculated by the calculation unit.

7. A program for causing an information processing device to function as: an acquisition means for acquiring analytical model information for estimating the state of a structure and planning information including installation locations of measuring instruments for measuring physical quantities related to the state of the structure; a calculation means for calculating an index value of the contribution of the installation locations to the accuracy of the state estimation based on the analytical model information and the planning information acquired by the acquisition means; and an output means for outputting result information including the index value calculated by the calculation means.

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