JP7323468B2 - Object positioning system and object positioning method - Google Patents

Description

The present invention relates to a technique for determining the displacement of an object using a positioning satellite. and an object positioning method.

Many reinforced concrete structures (hereinafter referred to as "RC (Reinforced Concrete) structures") constructed in Japan have already been in service for a long time. Especially in the 1950s, when the Tokyo Olympic Games were just around the corner, many RC structures were constructed, and more than 50 years have passed since then. It is generally said that the durability of concrete is 50 to 100 years, but if we assume that it is 50 years, the reinforced concrete structures that were built at that time must have deteriorated considerably, and it is also considered that the necessary bearing strength has been lost. be done. Therefore, in 2014, the “Proposals for full-scale implementation of countermeasures against aging roads (Social Infrastructure Development Council)” were compiled. It will lead to a fatal situation related to construction and social equipment," he warned, strongly advocating the importance of maintenance and management of construction infrastructure.

RC structures are mainly composed of concrete and reinforcing bars, and since concrete is vulnerable to tensile force, the reinforcing bars bear the tensile force, and concrete bears the compressive force. Therefore, if the concrete becomes unable to bear the compressive force due to deterioration, or if the reinforcing steel becomes unable to bear the tensile force due to deterioration, the RC structure loses load bearing performance among the originally required performance. If the required load-bearing capacity is lost, the purpose of the structure will not be fulfilled.

RC structures and block walls may be deformed (deformed) due to the deterioration of individual materials over time. Deformation may occur due to the action of an external force, and if the extent of such deformation is significant, the RC structure may lose its load-bearing performance. However, it is not easy to correctly evaluate the load bearing performance of RC structures. Furthermore, in the case of structures in service, non-destructiveness is often a condition, making it difficult to evaluate their load-bearing performance. Therefore, at present, the soundness of reinforced concrete structures is evaluated by visually observing cracks and the like occurring on the concrete surface.

As one method for evaluating the soundness of an RC structure, a method based on the degree of deformation is conceivable. By observing the amount of displacement at a plurality of points in the RC structure, the state of deformation of the entire RC structure is grasped, and the soundness of the RC structure is evaluated according to the degree of deformation.

In order to measure the amount of displacement at key points in an RC structure, measurement using a total station is conceivable. In order to measure the amount of displacement of RC structures during an earthquake, it is possible to use an accelerometer. , and it is known that the amount of displacement cannot be obtained with high accuracy. Therefore, Japanese Patent Laid-Open No. 2002-200002 proposes a structure monitoring technique based on fixed-point observation using a positioning satellite.

JP 2005-121464 A

GPS (Global Positioning System), which was used only for military purposes, is now being used for civilian purposes, and in 2000, the "mechanism for intentionally reducing accuracy (SA: Selective Availability)" was abolished, making it easier. In addition, it has become possible to measure the current position with high accuracy and in real time. In addition to GPS, various positioning satellite observation systems (GNSS: Global Navigation Satellite System) have become available, such as the launch of the Quasi-Zenith Satellite-01 "Michibiki" in 2010. This means that the required number of positioning satellites can be acquired continuously 24 hours a day, that is, fixed-point observation can be made continuously 24 hours a day.

In this way, positioning satellites are extremely convenient, and depending on the observation method, displacement can be obtained with high accuracy. It can be said that it is a method.

By the way, many structures, including RC structures, expand when the surrounding temperature rises and heat is applied (hereinafter referred to as "temperature expansion"), and conversely, the surrounding temperature drops and heat is taken away. When heated, it shrinks (hereinafter referred to as “temperature shrinkage”). In other words, the structure deforms due to temperature change, and therefore the observation point installed on the structure also displaces according to the temperature change. When using positioning satellites to monitor the displacement of observation points installed on a structure, it is possible to distinguish whether the displacement (expansion or contraction) is due to temperature or due to deterioration of the structure. Can not. That is, the displacement (deformation) of a structure cannot be correctly evaluated simply by using the results obtained by positioning satellites. Although there is a known method of obtaining the amount of deformation based on the linear expansion coefficient and temperature change, the linear expansion coefficient is a standard value determined for each material, and the actual material used depends on the usage environment and aging. It is conceivable that the coefficient of linear expansion differs from the standard value due to the influence of change, so in RC structures etc., even if the coefficient of linear expansion for each material is used, the amount of deformation cannot be obtained correctly.

The object of the present invention is to solve the problems of the prior art, that is, to provide an object positioning system and an object positioning method that can determine the displacement of a structure while considering thermal expansion and contraction. It is to be.

The present invention performs regression analysis based on the observed value of the ambient temperature and the observed value of the temperature displacement amount of the object (displacement amount due to thermal expansion and contraction), and removes temperature expansion and temperature contraction using the correction function obtained as a result. This invention focuses on the point of finding the displacement, and is based on an idea that has never existed in the past.

The object positioning system of the present invention determines the displacement of an object by positioning an observation point, and comprises positioning means, original displacement amount calculation means, correction value calculation means, and corrected displacement amount calculation means. be. Among these, the positioning means is a means for periodically measuring the position of the observation point using a positioning satellite, and the original displacement amount calculation means uses the difference between the positioning data of the observation point at two times as the "original displacement amount". It is a means to calculate. The correction value calculation means is a means for calculating a temperature correction value based on the "correction function" and the "surrounding temperature" of the object, and the correction displacement amount calculation means is a means for calculating the original displacement amount and the temperature correction value. This is a means for obtaining the amount of displacement in two periods at the observation point. Note that the correction function is a function obtained by regression analysis based on the observed value of the ambient temperature and the observed value of the temperature change amount of the object.

The object positioning system of the present invention may further comprise positioning data storage means, sample extraction means, sample representative value calculation means, and representative positioning data calculation means. The positioning data storage means is a means for storing positioning data, and the sample extraction means reads from the positioning data storage means the positioning data within a predetermined time before the positioning time, and uses it as an "original sample" at the positioning time. It is a means. The sample representative value calculation means is means for calculating a "sample representative value" representing the original sample based on the positioning data of the original sample. It is a means for calculating "representative positioning data" in the positioning period based on sample representative values within the positioning period each time. In this case, the original displacement amount calculation means calculates the difference between the two representative positioning data at the observation point as the original displacement amount.

The object positioning system of the present invention may further include correction function calculation means. This correction function calculation means is a means for calculating a correction function by performing regression analysis based on the observed value of the ambient temperature for one year or more and the observed value of the temperature change amount of the object for one year or more.

An object positioning method according to the present invention is a method for determining the displacement of an object by positioning an observation point, and is a method comprising a positioning step, an original displacement amount calculation step, a correction value calculation step, and a corrected displacement amount calculation step. be. In the positioning process, the position of the observation point is measured periodically using a positioning satellite, and in the original displacement calculation process, the difference between the positioning data of the observation point for two periods is calculated as the "original displacement". In the correction value calculation process, the temperature correction value is calculated based on the "correction function" and the "surrounding temperature" of the object. Calculate the amount of displacement for the two periods.

The object positioning system and object positioning method of the present invention have the following effects.
(1) Except for drying shrinkage, movement due to temperature change is dominant in ordinary RC structures. Therefore, pure evaluation of other influences (residual displacement in the event of an earthquake) by subtracting the variation due to temperature is effective in grasping the behavior of the RC structure as a whole.
(2) Since the displacement of the structure is obtained by considering thermal expansion and contraction, it is possible to obtain a more appropriate displacement of the structure than in the prior art, which does not consider the influence of temperature.
(3) The displacement of the structure can be easily obtained simply by periodically measuring the position of the observation point and measuring the ambient temperature of the object. In addition, by remotely receiving these measurement results, it is possible to grasp the displacement of the structure from a remote location without going to the site.
(4) The degree of deterioration of the structure can be evaluated based on the displacement of the structure, and countermeasures can be taken as necessary.

1 is a block diagram showing the main configuration of an object positioning system of the present invention; FIG. FIG. 4 is a block diagram showing the main configuration of an analysis device in the case of obtaining an original displacement amount from “representative positioning data” based on a moving average; FIG. 2 is a flowchart showing the main processing flow of the object positioning system; FIG. 2 is a graphical representation plotting ambient temperature observations observed during the period from May 2018 to August 2019. FIG. The graph which plotted the observed value of the amount of temperature variation acquired in the period from May, 2018 to August, 2019. FIG. 3 is a graph plotting combinations of ambient temperature and temperature variation on a coordinate system in which the horizontal axis is the ambient temperature and the vertical axis is the temperature variation. FIG. 4 is a flowchart showing the flow of main processing up to calculation of “representative positioning data”; Model diagram for explaining sample representative values. A model diagram showing representative positioning data obtained from sample representative values within an observation period. The graph which plotted the original displacement amount obtained in the period from May, 2018 to August, 2019. FIG. 4 is a graph plotting corrected displacement amounts obtained from original displacement amounts from May 2018 to August 2019; FIG. 2 is a flowchart showing the flow of main steps of the object positioning method of the present invention;

An example of an embodiment of an object positioning system and an object positioning method according to the present invention will be described with reference to the drawings.

1. Overall Outline The present invention applies to building structures such as office buildings, housing complexes, and block walls, or civil engineering structures such as bridge substructures and concrete retaining walls (hereinafter collectively referred to as "objects"). Alternatively, two or more "observation points" are set, and the deformation of the object is monitored based on the displacement of these observation points. A satellite observation system (GNSS) is used for the positioning of the observation point, and therefore a positioning satellite receiver or the like is installed at the observation point.

The positioning of the observation point is performed periodically, and the displacement amount of the observation point is obtained from the positioning results (that is, the position coordinates) at two times. However, the amount of displacement simply obtained by GNSS (hereinafter referred to as "original displacement amount") includes the amount of displacement associated with "temperature expansion" and "temperature contraction" (hereinafter referred to as "temperature displacement amount") as described above. ) are also included. Therefore, in the present invention, in order to grasp the structural deformation of the object (deterioration due to aging of members, ground subsidence, deformation due to external forces such as earthquakes, etc.), the displacement amount obtained by removing the temperature displacement amount from the original displacement amount (hereinafter referred to as , referred to as “correction displacement amount”). However, it is difficult to directly measure the amount of temperature change. Therefore, a function (hereinafter referred to as "correction function") representing the relationship between the ambient temperature and the amount of temperature change of the object is obtained in advance, and the amount of temperature change is estimated from the measured ambient temperature and the correction function. For the sake of convenience, the amount of temperature change estimated based on the correction function will be referred to as a "temperature correction value".

2. Object Positioning System Next, the object positioning system of the present invention will be described in detail. The object positioning method of the present invention is a method of determining the displacement of an object using the object positioning system of the present invention. A positioning method will be described.

FIG. 1 is a block diagram showing the main configuration of an object positioning system 100 of the present invention. As shown in this figure, the object positioning system 100 is mainly composed of a positioning means 200 and an analysis device 300, which are connected by wireless communication means (or wired communication means). The positioning means 200 is installed at an observation point set on the object, and the analysis device 300 is installed at a location away from the site (object). In this figure, one positioning means 200 is connected to one analysis device 300, but a plurality of positioning means 200 (that is, observation points) installed on the same object and one analysis device 300 are connected. Alternatively, a plurality of positioning means 200 (that is, observation points) installed on different objects may be connected to one analysis device 300 .

The positioning means 200 comprises a receiving means 201, a calculating means 202 and a communicating means 203 as shown in FIG. The receiving means 201 receives a signal from the positioning satellite S, and has an antenna and a receiver. The records (observation data) received here are transferred to the computing means 202 .

The calculation means 202 calculates the installation position of the positioning means 200, ie, the coordinates of the observation point, by performing calculation processing on the received observation data, and outputs it as "positioning data". By the way, the method of calculating positioning data based on observation data (positioning method) is divided into the single positioning method and the interferometric positioning method. is known to have static positioning and kinematic positioning.

Although either method can be adopted in the present invention, for the sake of convenience, the case where the positioning method is the real-time kinematic positioning (RTK) among the kinematic positioning methods will be described here. Therefore, a fixed reference point (reference point) is provided at a place other than the object, and a receiver is installed at the reference point, and observation data are received simultaneously from four or more positioning satellites S at the reference point and the observation point. In this case, the computing means 202 of the observation point requires observation data of the reference point, which is sent from the receiver of the reference point to the positioning means 200 of each observation point by wireless or wired communication. Note that the interval (epoch) for calculating positioning data varies greatly depending on the positioning method, but in RTK, the epoch is mainly set to one second, and an example in which the positioning data is calculated every second will be described here.

The communication means 203 transmits positioning data to the analysis device 300, and this positioning data is sent via the Internet, for example. In addition to transmitting positioning data, the communication means 203 can also receive positioning data from a receiver installed at a reference point, various data from the analysis device 300, and the like. The positioning means 200 can also comprise power generation means 204, such as a solar power generator. By transmitting and receiving all data wirelessly and using the power generation means 204, the use of commercial power can be avoided.

As shown in FIG. 1, the analysis apparatus 300 includes original displacement amount calculation means 301, correction value calculation means 302, and correction displacement amount calculation means 303, and further includes positioning data storage means 304 and correction function calculation means 308. , correction function storage means 309, ambient temperature measurement means 400, ambient temperature storage means 310, deterioration degree evaluation means 311, and display means 312 such as a display. In the present invention, the original displacement amount can be obtained using the positioning data obtained by the positioning means 200 as it is, or the original displacement amount can be obtained from "representative positioning data" based on a moving average as described later. When this "representative positioning data" is used, the analysis device 300 can further include sample extraction means 305, sample representative value calculation means 306, and representative positioning data calculation means 307, as shown in FIG.

Original displacement amount calculation means 301 , correction value calculation means 302 , corrected displacement amount calculation means 303 , sample extraction means 305 , sample representative value calculation means 306 , representative positioning data calculation means 307 , and correction function calculation means 308 composing the analysis apparatus 300 . , the deterioration degree evaluation means 311 can be manufactured as a dedicated one, or a general-purpose computer device can be used. This computer device can be configured by a personal computer (PC), a tablet PC such as an iPad (registered trademark), a mobile terminal including a smart phone, or the like. A computer device includes a processor such as a CPU, memory such as a ROM and a RAM, and may further include input means such as a mouse and a keyboard, and a display. The display means 312 may use the display of this computer device.

The positioning data storage means 304, the correction function storage means 309, and the ambient temperature storage means 310 can use a storage device of a general-purpose computer, or can be constructed in a database server. It can be placed on a LAN (Local Area Network), or it can be a cloud server that stores via the Internet (that is, wireless communication).

FIG. 3 is a flow diagram showing the main processing flow of the object positioning system 100. The center column shows the processing to be executed, the left column shows the input information necessary for the processing, and the right column shows the input information necessary for the processing. It shows the output information resulting from the processing. First, as a preparation, a "correction function" is calculated by the correction function calculation means 308 (FIG. 1) (Step 100 in FIG. 3) and stored by the correction function storage means 309 (FIG. 1). This correction function represents the relationship between "surrounding temperature - temperature displacement amount of object", and the observed surrounding temperature (hereinafter referred to as "observed value of surrounding temperature") and its surrounding temperature It is a function obtained based on the amount of temperature change of an object (hereinafter referred to as "observed value of temperature change") that is acquired at times. The term "surrounding temperature" as used here literally means the temperature around the object, and the result obtained directly from the surrounding temperature measuring means 400 installed in the structure (or its surroundings) can also be used as the surrounding temperature. Alternatively, the ambient temperature may be the temperature of the area containing the object (for example, the temperature obtained from the Japan Meteorological Agency).

FIG. 4 is a graph plotting the observed values of the ambient temperature observed during the period from May 2018 to August 2019, and FIG. FIG. 4 is a plotted graph diagram; In FIG. 5, a large amount of positioning data (that is, temperature variation) acquired by the positioning means 200 is subjected to Fourier transform to plot the temperature variation on a daily basis. In addition, during this period, there were no large external forces such as typhoons or earthquakes acting on the object, so it was possible to determine that the amount of displacement that does not include structural deformation, that is, the amount of temperature displacement, was acquired. . FIG. 6 is a graph obtained by plotting the combination of the ambient temperature and the amount of temperature change on a coordinate system in which the horizontal axis is the ambient temperature and the vertical axis is the amount of temperature change.

From the correlation function R (R ² =0.8934, R=0.9452) shown in FIG. 6, it can be seen that there is an extremely high correlation between the ambient temperature and the amount of temperature change. In other words, by using the regression equation obtained from FIG. 6 (in this figure, a linear equation consisting of regression coefficient = -0.2886 and constant term = 4.5959), the temperature displacement amount can be estimated with high accuracy from the ambient temperature. It is possible. Therefore, in the present invention, a regression equation obtained from the observed value of the ambient temperature and the observed value of the amount of temperature change is used as the "correction function". It is also possible to acquire the observed values of the ambient temperature and the observed value of the temperature variation over a period of one year or more, and calculate four different correction functions for each season (spring, summer, autumn, and winter). Alternatively, it is possible to calculate a plurality of different types of correction functions, such as calculating correction functions for each month (that is, 12 types).

When the correction function is calculated, the object is actually monitored, and the original displacement amount of the observation point is obtained by the original displacement amount calculation means 301 (FIG. 1) (Step 200 in FIG. 3). Of course, when observation points are set at a plurality of locations, the original displacement amount is obtained for all these observation points. Positioning data obtained by the positioning means 200 is used to calculate the original displacement amount, and more specifically, the difference between the positioning data of two periods is obtained as the original displacement amount. In this way, the original displacement amount can be obtained using the positioning data as it is, or the original displacement amount can be obtained from the "representative positioning data" based on the moving average as described above. The procedure for calculating the "representative positioning data" by moving average will be described in detail below with reference to FIG.

FIG. 7 is a flow chart showing the flow of main processing up to the calculation of representative positioning data. indicates the output information generated from the processing. As shown in this figure, the sample size is first set (Step 201 in FIG. 7). Here, a sample is a data set used for estimating representative positioning data. A set of positioning data. In other words, setting the sample size is nothing other than setting a predetermined period going back from the observation time.

The predetermined period that goes back from the observation time should be set in consideration of the satellite arrangement cycle. The satellite arrangement changes every moment, but returns to the original arrangement after a certain period of time. In other words, various arrangements are repeated with a certain period (cycle). This cycle varies depending on the number of satellites to be launched, but at present it is said to be approximately 24 hours. Here again, one cycle, that is, the "predetermined period going back from the observation time" is assumed to be 24 hours. Therefore, in the example of this embodiment, the sample size is set to 24×60×60.

Once the sample size is determined, background analysis is performed (Step 202 in FIG. 7). Background analysis is an analysis of the results of observation for a predetermined period of time (for example, 5 to 10 days) while the object remains unchanged. is extracted, and this singular value is set as a "positioning data threshold". For example, considering that the set of positioning data obtained during the background analysis period follows a normal distribution, the positioning data threshold can be set as 3σ (σ is the standard deviation). In other words, measurement data exceeding ±3σ, which is the positioning data threshold, is recognized as a singular value.

When the positioning means 200 actually starts observation, the output positioning data is received by the analysis device 300 and stored in the positioning data storage means 304 (FIG. 1). Then, the sample extraction means 305 (FIG. 2) extracts a sample (hereinafter referred to as "original sample N") from the positioning data storage means 304 (Step 203 in FIG. 7). Of course, the size of the original sample N extracted here is the previously set sample size (positioning data for 24 hours).

When the original sample N is obtained, the original sample N is corrected (Step 204 in FIG. 7). Specifically, the singular values contained in the original sample N are eliminated based on the positioning data threshold set in the background analysis (Step 202 in FIG. 7). The result is the "correction sample n".

Next, the sample representative value calculation means 306 (FIG. 2) estimates the positioning data at the observation time based on the corrected sample n. The positioning data at the observation time is directly obtained by the positioning means 200, but here the positioning data is estimated taking into account the tendency of the positioning data in the "predetermined period before the observation time". Specifically, the sample representative value calculation means 306 performs simple averaging of the corrected sample n, weighted averaging from the most recent time of observation, or various other statistical processing to obtain the positioning data at the time of observation. is estimated and output as "sample representative value d" (Step 205 in FIG. 7). FIG. 8 is a model diagram for explaining the sample representative value d. The sample representative value d is estimated for a period 24 hours before the observation time, and one sample per epoch (here, one second) It shows that representative values are obtained.

By the way, since the sample representative value d is output each time the positioning means 200 observes (every second, for example), a large amount of sample representative values d are accumulated as a result. It is not easy to evaluate all these sample representative values d, so the sample representative values d are summarized to some extent, and the representative values are defined as "representative positioning data".

FIG. 9 is a model diagram showing "representative positioning data" obtained from sample representative values d within the observation period. Here, the observation period is a period for collecting a plurality of sample representative values d, and the representative positioning data is a value representing the sample representative values d within the observation period. The representative positioning data can be calculated by simple averaging the sample representative values d within the observation period, weighted averaging by weighting from the most recent time of observation, or performing various other statistical processing. In the example of this figure, the observation period is 5 minutes, that is, the representative positioning data is obtained based on 5×60=300 sample representative values d. Of course, the observation period is not limited to 5 minutes, and can be appropriately designed according to the situation.

As shown in FIG. 7, when the sample representative value d is obtained, it is determined whether or not the observation period has passed (Step 206 in FIG. 7). The starting point of the elapsed observation period is the time when the observation was started or the time when the previous representative positioning data was calculated. If the observation period has not passed (No), the sample representative value d is repeatedly obtained (Steps 203 to 205). Positioning data is calculated (Step 207 in FIG. 7). Then, the original displacement amount calculation means 301 (FIG. 2) obtains the difference between the representative positioning data of the two periods as the original displacement amount (Step 200 in FIG. 3).

When the original displacement amount of each observation point is obtained, the temperature correction value is calculated by the correction value calculation means 302 (FIG. 1) (Step 300 in FIG. 3). Specifically, the correction value calculation means 302 reads the correction function from the correction function storage means 309, reads the ambient temperature from the ambient temperature storage means 310, substitutes the ambient temperature, which is an explanatory variable, into the correction function, and calculates the temperature displacement amount. , that is, the temperature correction value is obtained. Then, the "corrected displacement amount" is calculated by the corrected displacement amount calculating means 303 (FIG. 1) (Step 400 in FIG. 3). Specifically, the corrected displacement amount calculation means 303 obtains the corrected displacement amount by removing (subtracting) the temperature correction value from the original displacement amount. FIG. 10 shows a graph diagram plotting the original displacement amount obtained in the period from May 2018 to August 2019, and FIG. 11 plots the corrected displacement amount obtained from the original displacement amount for the same period. Graph diagrams are shown.

When the corrected displacement amount of each observation point is obtained, the deterioration degree of the object can be evaluated by the deterioration degree evaluation means 311 (Step 500 in FIG. 3). In this case, threshold values are set stepwise in advance, and the degree of deterioration of the object is preferably evaluated stepwise according to the corrected displacement amount. For example, in a case where two levels of thresholds are set, when the corrected displacement amount is less than the first threshold (minimum value), the object is evaluated as "healthy", and the corrected displacement exceeds the first threshold and the second threshold. (maximum value), the object can be evaluated as "caution", and when the corrected displacement amount exceeds the second threshold, the object can be evaluated as "dangerous". By the way, since a normal object is fixed to the ground, when it deforms in the vertical direction, the lower end side is restrained. On the other hand, the horizontal direction can be freely deformed to the left and right. Therefore, if the "corrected displacement amount" of the observation point is in the vertical direction, the value can be used as the deformation amount of the member as it is. The amount of deformation of the member may be the amount of corrected displacement×2).

3. Object Positioning Method Next, the object positioning method of the present invention will be described with reference to FIG. It should be noted that the object positioning method of the present invention is a method of determining the displacement of an object using the object positioning system 100 described so far, and therefore avoiding explanations overlapping with the contents explained in the object positioning system 100. Only contents specific to the object positioning method of the present invention will be explained. That is, the contents not described here are the same as those described in "2. Object Positioning System".

FIG. 12 is a flowchart showing the flow of main steps of the object positioning method of the present invention. After obtaining the correction function for the target structure in advance, the positioning of the observation point is started as shown in this figure (Step 10). At this time, the ambient temperature can be continuously (periodically) measured using the ambient temperature measuring means 400 installed on the object. When the positioning data (or representative positioning data) is obtained, the original displacement amount is calculated for each observation point (Step 20). Then, a temperature correction value is obtained based on the ambient temperature and the correction function (Step 30), and a corrected displacement amount is obtained by removing (subtracting) the temperature correction value from the original displacement amount (Step 40). When the corrected displacement amount of each observation point is obtained, the degree of deterioration of the object can also be evaluated (Step 50).

The object positioning system and object positioning method of the present invention can be used for architectural structures such as office buildings and housing complexes, civil engineering structures such as bridge substructures and concrete retaining walls, and various other structures. . According to the present invention, it is possible to appropriately grasp the deterioration state of the structure, and considering that it contributes to the extension of the life of the structure, it is expected that it can be used not only industrially but also greatly contributes to society. It can be said that it is a profitable invention.

100 Object positioning system of the present invention 200 Positioning means (of object positioning system) 201 Receiving means (of positioning means) 202 Calculation means (of positioning means) 203 Communication means (of positioning means) 204 Power generation means (of positioning means) 300 Analysis device (of object positioning system) 301 Original displacement amount calculation means (of analysis device) 302 Correction value calculation means (of analysis device) 303 Corrected displacement amount calculation means (of analysis device) 304 Positioning data (of analysis device) Storage means 305 Sample extraction means (of analysis device) 306 Sample representative value calculation means (of analysis device) 307 Representative positioning data calculation means (of analysis device) 308 Correction function calculation means (of analysis device) 309 Correction (of analysis device) Function storage means 310 Ambient temperature storage means (of analysis device) 311 Deterioration degree evaluation means (of analysis device) 312 Display means (of analysis device) 400 Ambient temperature measurement means (of object positioning system) S Positioning satellite

Claims (3)

In a system that obtains the displacement of an object by positioning an observation point,
Positioning means for periodically positioning the position of the observation point using a positioning satellite;
an original displacement amount calculation means for calculating the difference between the positioning data of the two periods at the observation point as an original displacement amount;
correction value calculation means for calculating a temperature correction value based on the correction function and the ambient temperature of the object;
a corrected displacement amount calculating means for obtaining the displacement amount at the observation point at two times based on the original displacement amount and the temperature correction value;
Correction function calculation means for calculating the correction function by performing regression analysis based on the observed value of the ambient temperature for one year or more and the observed value of the amount of temperature change due to thermal expansion and contraction of the object for one year or more and
The correction function is a function obtained by regression analysis based on the observed value of the ambient temperature and the observed value of the temperature variation ,
The correction function calculation means calculates a plurality of types of correction functions that differ for each season.
An object positioning system characterized by: positioning data storage means for storing the positioning data;
a sample extracting means for reading the positioning data within a predetermined time preceding the positioning time from the positioning data storage means and using it as an original sample at the positioning time;
sample representative value calculation means for calculating a sample representative value representing the original sample based on the positioning data of the original sample;
representative positioning data calculation means for calculating representative positioning data in the positioning period based on the sample representative value within the positioning period each time a predetermined positioning period elapses,
The original displacement amount calculation means calculates a difference between the representative positioning data of the two periods at the observation point as the original displacement amount.
The object positioning system according to claim 1, characterized in that: In a method of determining the displacement of an object by positioning an observation point,
A positioning step of periodically positioning the position of the observation point using a positioning satellite;
an original displacement amount calculation step of calculating the difference between the positioning data of the two periods at the observation point as an original displacement amount;
a correction value calculation step of calculating a temperature correction value based on the correction function and the ambient temperature of the object;
a corrected displacement amount calculating step of obtaining the displacement amount at the observation point at two times based on the original displacement amount and the temperature correction value;
A correction function calculation step of calculating the correction function by performing a regression analysis based on the observed value of the ambient temperature for one year or more and the observed value of the amount of temperature change due to thermal expansion and contraction of the object for one year or more. and
The correction function is a function obtained by regression analysis based on the observed value of the ambient temperature and the observed value of the temperature variation ,
The correction function calculating step calculates a plurality of types of correction functions that differ for each season.
An object positioning method characterized by:

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