JP6255689B2 - Measuring device, measuring system, measuring method and measuring program - Google Patents

Description

  The present invention relates to a measurement device, a measurement system, a measurement method, and a measurement program.

  In some cases, an individual or the like uses a portable dosimeter when measuring the amount of radiation passing through the air per unit time, that is, the dose rate in space, in his / her own residence or residential area.

  A portable dosimeter converts, for example, the incidence of radiation detected by a radiation sensor into an electrical signal, and obtains a dose rate at a point to be measured based on the obtained electrical signal. In consideration of increasing the accuracy of measurement results when the dose rate is low, a moving average is obtained for the electrical signal obtained by the radiation sensor within an integration time of several tens of seconds to several minutes, and the obtained moving average is calculated. There is a dosimeter that calculates the dose rate. Furthermore, a dosimeter having a function of notifying that an accumulated time for obtaining a dose rate has elapsed has been proposed (for example, see Patent Document 1).

Patent No. 4965733

  A portable dosimeter can measure the dose rate without installing a fixed observation facility, so it is easier to increase the number of observation points compared to adding a monitoring post. However, in the measurement using the conventional portable dosimeter, the dose rate at each observation point is measured with high accuracy by maintaining the stationary state for a predetermined time. It takes.

  In addition, the measurement result obtained with the conventional portable dosimeter is the dose rate at each observation point, just like the measurement result obtained with the monitoring post. For this reason, if an attempt is made to comprehensively obtain information indicating the distribution of radiation dose in an area having a two-dimensional spread using a conventional method, the number of observation target points will be enormous. It is difficult to realize.

  The measurement device, measurement system, measurement method, and measurement program disclosed herein are intended to provide a technique that makes it possible to comprehensively recognize the spatial distribution of feature quantities such as dose rates in space more easily than in the past. And

According to one aspect, the measuring device for measuring a physical quantity which changes the strength the size of particles or energy flow through the space, moves with the moving body, the physical quantity in the space within a predetermined range from the mobile a sensor for measuring a characteristic quantity, while the mobile moves from a first point to a second point, an integrating unit for integrating the measurements obtained by the sensor, the integration result obtained by the integration unit, Dividing by the time taken for the movement between the first point and the second point to calculate the feature quantity per unit time in the movement route between the first point and the second point The calculation unit divides the movement path every time there is a change of a predetermined value or more in the rate of change of the integration result obtained by the integration unit with respect to time, and the feature amount per unit time for each divided section Ask for.
Further, according to another aspect, in a measuring device that measures a physical quantity whose size changes depending on the intensity of a particle or energy flow that passes through a space, it moves with the moving body, and the space within a predetermined range from the moving body. A sensor that measures the physical quantity of the sensor as a feature quantity, an integration part that integrates measurement values obtained by the sensor while the moving body moves from the first point to the second point, and an integration result obtained by the integration part Is divided by the time taken for the movement between the first point and the second point, so that the feature amount per unit time in the movement route between the first point and the second point can be obtained. And a calculation unit that calculates a feature path per unit time for each divided section, each time there is a predetermined change in the speed of the moving body.

According to another aspect, a measurement system for measuring a physical quantity which changes the strength the size of particles or energy flow through the space, moves with the movable body, within a predetermined range from the mobile Obtained by a sensor that measures a physical quantity in the space as a feature quantity , an integration part that integrates measurement values obtained by the sensor while the moving body moves from the first point to the second point, and an integration part. By dividing the result of integration by the time taken to move between the first point and the second point, the characteristics per unit time in the movement route between the first point and the second point A calculation unit that obtains an amount, and the calculation unit delimits the movement path every time a change rate with respect to time of the integration result obtained by the integration unit changes by a predetermined value or more, and unit time for each divided section Find the feature value per hit, less And one of the measuring device also includes at least one feature quantity per unit time obtained by the measuring device and receives information indicating the movement route, the feature amount per unit time obtained in at least one measuring device and the movement path And an aggregating device for aggregating information indicating the corresponding relationship.

Further, according to another aspect, there is provided a measurement method for measuring a physical quantity whose size changes with the intensity of a particle passing through space or the flow of energy, wherein the moving object is from a first point to a second point. while moving, by integrating the measurements obtained by the sensor for measuring a characteristic quantity of said physical quantity in the space within a predetermined range from the mobile, the integration results obtained, the first point and the second point When the feature amount per unit time in the movement route between the first point and the second point is obtained by dividing by the time taken for the movement between, the rate of change of the integration result with respect to time is calculated. Each time there is a change greater than or equal to a predetermined value, the movement route is divided, and a feature amount per unit time is obtained for each divided section.

According to another aspect, a measurement program for executing the process of measuring the physical quantity that varies the strength the size of particles or energy flow through the space to the computer, the moving body is first point from while moving to the second point, and accumulating the measurement values obtained by the sensor for measuring a characteristic amount of physical quantity in the space within a predetermined range from the mobile, the integration results obtained, a first point When the feature amount per unit time in the movement route between the first point and the second point is obtained by dividing by the time taken to move to the second point, Each time the change rate with respect to time changes more than a predetermined value, the movement route is divided, and the computer is caused to execute a process for obtaining a feature amount per unit time for each divided section.

  According to the measurement device, the measurement system, the measurement method, and the measurement program of the present disclosure, it is possible to comprehensively recognize the spatial distribution of the feature amount such as the dose rate in the space more easily than conventionally.

It is a figure which shows one Embodiment of a measuring device, a measuring system, a measuring method, and a measuring program. It is a figure which shows the example of the movement path | route of the moving body shown in FIG. It is a figure which shows the example of the integration result by the integration | stacking part shown in FIG. It is a figure which shows operation | movement of the measuring device shown in FIG. It is a figure which shows the example of the measurement result aggregated with the aggregation apparatus shown in FIG. It is a figure which shows another example of the movement path | route of the moving body shown in FIG. It is a figure which shows another example of the integration result obtained by the integration | stacking part shown in FIG. It is a figure which shows another embodiment of a measuring device, a measuring system, a measuring method, and a measuring program. It is a figure which shows the example of the apparatus information database shown in FIG. It is a figure which shows the example of the measurement result storage part shown in FIG. It is a figure which shows another embodiment of a measuring device, a measuring system, a measuring method, and a measuring program. It is a figure which shows the example of the movement path | route of the moving body shown in FIG. It is a figure which shows the example of the measurement result storage part shown in FIG. It is a figure which shows the hardware structural example of a measuring device and a measurement system. It is a figure which shows operation | movement of the measuring device shown in FIG. It is a figure which shows the process which searches the division | segmentation point shown in FIG. FIG. 15 is a diagram (part 1) illustrating an operation of the aggregation device depicted in FIG. 14; FIG. 15 is a diagram (part 2) illustrating the operation of the aggregation device depicted in FIG. 14; FIG. 15 is a diagram (part 3) illustrating the operation of the aggregation device depicted in FIG. 14;

  Hereinafter, embodiments will be described with reference to the drawings.

  FIG. 1 shows an embodiment of a measurement device, a measurement system, a measurement method, and a measurement program.

  A measuring apparatus 10 shown in FIG. 1 includes a sensor 11 mounted on the moving body 1, an integrating unit 12, and a calculating unit 13. The measurement system 100 includes at least one measurement device 10 and the aggregation device 2.

  Here, the moving body 1 is not limited to a vehicle such as an automobile or a motorcycle, but may be an aircraft or a satellite as long as it can move the mounted sensor 11 to an arbitrary place. May have the sensor 11. In addition to the sensor 11, the measuring device 10 including the integrating unit 12 and the calculating unit 13 may be mounted on the moving body 1.

  The sensor 11 measures, for example, the amount of radiation passing through the space, that is, the radiation dose, as a predetermined feature amount in a space within a predetermined range from the moving body 1. For example, the sensor 11 may be a semiconductor radiation detector that detects radiation by detecting charges generated inside the semiconductor due to the interaction between the radiation and the semiconductor. The sensor 11 is preferably fixed to the moving body 1 so as to have a predetermined height of about 1 meter from the ground surface.

  The integrating unit 12 receives a measurement value indicating the radiation dose detected by the sensor 11 while the moving body 1 moves from the first point to the second point, and integrates the received values. The result is passed to the calculation unit 13.

  Further, the calculation unit 13 is configured to calculate the first point and the second point based on the integration result obtained by the integration unit 12 and the time taken for the movement between the first point and the second point. The feature amount per unit time in the movement route between the points is obtained. For example, when the measurement value indicating the radiation dose acquired as a feature quantity by the sensor 11 is accumulated in the course of the movement by the accumulation section 12, the feature quantity per unit time obtained by the calculation section 13 is Shows the amount of radiation passing through the space around the moving body 1, that is, the dose rate. As a unit of dose rate, for example, when microgray per hour (μGy / h) is used, the unit time is 1 hour.

  Moreover, the measuring device 10 sends out the measurement result including the feature quantity per unit time obtained corresponding to the moving path of the moving body 1 to the aggregation device 2 shown in FIG.

  The aggregation device 2 is obtained from each of at least one measuring device 10 as information indicating the measurement result, along with information indicating the moving route of the moving body 1 on which each measuring device 10 is mounted, corresponding to the moving route. Receive information indicating the feature value per unit time. Further, the aggregating device 2 aggregates the movement path and the dose rate indicated by the information received from each of the at least one measuring device 10 in association with each other.

  For example, the aggregation device 2 may specify a trajectory on the map corresponding to the movement route indicated by the information received from each measurement device 10, and associate the identified trajectory on the map with information indicating the dose rate. . By performing the above-described association, the aggregation device 2 can grasp, for example, how an area having a higher dose rate than other areas is distributed in an area having a two-dimensional spread. It is possible to generate useful information.

  Here, consider a case where the moving body 1 moves from a first point to a second point in an area where a radiation field having a substantially uniform intensity is formed.

  FIG. 2 shows an example of the movement path of the moving body 1 shown in FIG. In FIG. 2, a region Ra surrounded by a solid line and a region Rb surrounded by a broken line each show an example of a region where a radiation field having a substantially uniform intensity is formed.

  Further, in FIG. 2, reference sign Qa is an example of a movement route when the moving body 1 illustrated in FIG. 1 moves from the first point Pa1 to the second point Pa2 in the region Ra. Similarly, the symbol Qb is an example of a moving route when the moving body 1 shown in FIG. 1 moves from the first point Pb1 to the second point Pb2 in the region Rb.

  When the intensity of the radiation field is substantially uniform, the integrated value of the radiation dose received by the moving body 1 in the process of moving along the moving path Qa in the region Ra, that is, the integrating unit 12 shown in FIG. The integration result obtained by is proportional to the elapsed time since passing through the first point Pa1. Similarly, the integrated value of the radiation dose received by the moving body 1 in the process of moving along the movement path Qb in the region Rb, that is, the integrated result obtained by the integrating unit 12 shown in FIG. 1, is the first point Pb1. It is proportional to the elapsed time since passing through.

  FIG. 3 shows an example of a result of integration by the integration unit 12 shown in FIG. In FIG. 3, the horizontal axis indicates the passage of time t, and the vertical axis indicates the integration result S obtained by the integrating unit 12, that is, the magnitude of the integrated value of the radiation dose in the movement process.

  In FIG. 3, a straight line Ga indicates a time change of the integration result obtained by the integration unit 12 when the moving body 1 illustrated in FIG. 1 moves along the movement route Qa illustrated in FIG. 2. Similarly, the straight line Gb indicates the time change of the integration result obtained by the integration unit 12 when the above-described moving body 1 moves along the movement route Qb shown in FIG.

  Further, in FIG. 3, reference symbol Sa indicates an integration result obtained by the integration unit 12 illustrated in FIG. 1 when the moving body 1 reaches the second point Pa2 on the travel route Qa illustrated in FIG. 2. Symbol τa indicates the time required for movement along the movement route Qa. Similarly, the symbol Sb indicates the integration result obtained by the integration unit 12 when the moving body 1 reaches the second point Pb2 on the movement route Qb shown in FIG. 2, and the symbol τb indicates the movement route Qb. Indicates the time required for moving.

  Here, in the movement route Qa, the radiation dose received by the moving body 1 per unit time, that is, the dose rate in the movement route Qa corresponds to the inclination of the straight line Ga shown in FIG. This reflects the intensity of the radiation field in the region Ra shown in FIG. Similarly, the radiation dose received by the moving body 1 per unit time in the moving route Qb, that is, the dose rate in the moving route Qb corresponds to the slope of the straight line Gb shown in FIG. The intensity of the radiation field in the region Rb shown in FIG. 2 is reflected. Note that the straight lines Ga and Gb shown in FIG. 3 are examples in the case where the radiation field strength in the region Ra shown in FIG. 2 is stronger than the radiation field strength in the region Rb.

  As in the example shown in FIGS. 2 and 3, when the radiation field in the region including the moving path of the moving body 1 is uniform, the radiation amount received by the moving body 1 is such that the moving body 1 is stationary. Regardless of whether they are moving or moving, it increases in proportion to the time spent in the area.

  Therefore, when the radiation field in the region including the moving path of the moving body 1 is uniform, the radiation dose received in the process of moving the moving body 1 in the region is divided by the time taken for the movement. The obtained value indicates the intensity of the radiation field in the region, that is, the dose rate. That is, in the process in which the moving body 1 on which the sensor 11 is mounted moves in a region where the radiation field is uniform, the radiation dose per unit time obtained by the calculation unit 13 shown in FIG. This is equivalent to the dose rate measured with a conventional portable dosimeter stationary.

  That is, the calculation unit 13 divides the integration result Sa obtained in the process of moving the mobile body 1 along the travel route Qa shown in FIG. 2 by the required time τa, so that the mobile body 1 is in the process of moving described above. The radiation dose received per unit time, that is, the dose rate in the region Ra can be obtained. Similarly, the calculation unit 13 divides the integration result Sb obtained in the process of moving the mobile body 1 along the travel route Qb shown in FIG. 2 by the required time τb, so that the mobile body 1 is in the process of moving described above. Thus, the radiation dose received per unit time, that is, the dose rate in the region Rb can be obtained.

  In actual measurement, the intensity of the radiation field in the region including the moving path of the moving body 1 is not necessarily uniform. For example, when the intensity of the radiation field in the natural environment, that is, the amount of environmental radiation fluctuates in the range of several tens of nanogray / hour (nGy / h) due to the difference in the distribution density of radioactive materials contained in the crust There is.

  Even in the case where there is such a variation, according to the measurement device 10 disclosed in the present disclosure, a portable dosimeter is included, which includes an error that is an average of variations in environmental radiation dose within a predetermined range from the movement path. It is possible to obtain a dose rate that has almost the same value as the dose rate measured at rest.

  That is, according to the measurement apparatus 10 illustrated in FIG. 1, an index value indicating the intensity of the radiation field in an area including the moving path of the moving body 1 is obtained while moving the moving body 1 on which the sensor 11 is mounted. Thus, measurement of the dose rate while moving can be realized.

  According to the measurement device 10 of the present disclosure, for example, a conventional method is performed at each of a plurality of observation points provided on the movement route Qa by measurement in a process in which the moving body 1 moves along the movement route Qa illustrated in FIG. The measurement result equivalent to the case of measuring the dose rate with can be obtained. Therefore, according to the measurement device 10 of the present disclosure, the radiation dose distribution in the area is measured by measurement in the process of moving along each of a plurality of movement paths set in, for example, a lattice shape within the measurement target area. It is possible to acquire the information shown. That is, according to the measurement device 10 of the present disclosure, it is possible to acquire measurement results that cover the area to be measured with less effort compared to the case of using a conventional portable dosimeter. That is, according to the measurement device 10 of the present disclosure, it is possible to comprehensively recognize the spatial distribution of feature quantities such as a dose rate in space more easily than when using a conventional portable dosimeter or the like. can do.

  FIG. 4 shows the operation of the measuring apparatus 10 shown in FIG. That is, FIG. 4 shows a measurement method for measuring a dose rate as a feature amount per unit time in the moving path of the moving body 1 using the measured value of the sensor 11 moving with the moving body 1.

  In step S301, the sensor 11 determines the amount of radiation incident on the sensor 11 over a period in which the moving body 1 illustrated in FIG. 1 moves from the first point Pa1 to the second point Pa2 illustrated in FIG. Get the measured value shown.

  In step S302, the accumulating unit 12 accumulates the measurement values obtained by the sensor 11 until the moving body 1 reaches the second point Pa2, in parallel with the processing in step S301 described above.

  In step S303, the calculation unit 13 determines the radiation per unit time based on the integration result obtained in the process of step S302 and the time required to move from the first point Pa1 to the second point Pa2. The quantity, ie dose rate, is determined. The calculation unit 13 divides, for example, the integration result obtained by integrating the measurement values of the sensor 11 over the period during which the moving body 1 is moving by the integration unit 12 by the required time. The dose rate in the movement route Qa shown in FIG.

  By executing the processes in steps S301 to S303 described above, it is possible to realize a measurement method for measuring a dose rate as a feature amount per unit time in a movement route by measurement during movement.

  Note that the feature quantity measured by the sensor 11 illustrated in FIG. 1 is not limited to the radiation dose, and may be any feature quantity indicating a physical feature of a space within a predetermined range from the moving body 1. It may be a physical quantity whose size changes depending on the intensity of the particles passing through or the flow of energy. For example, a sensor 11 that measures the amount of energy of the solar wind is mounted on an aircraft, a satellite, or the like, and the solar wind in the aircraft's route or satellite's orbit is based on the result of integrating the measured values obtained by the sensor 11 in the course of movement. You may acquire the feature-value which shows the intensity of.

  FIG. 5 shows an example of measurement results aggregated by the aggregation device 2 shown in FIG.

  In FIG. 5, each of the line segments indicated by a dotted line, a thin solid line, and a thick solid line indicates a part of a road or the like on which the moving body 1 can move. That is, each of the line segments shown in FIG. 5 indicates a trajectory corresponding to the movement path indicated by the information indicating the measurement result received from the at least one measurement device 10 by the aggregation device 2 shown in FIG. .

  In the example of FIG. 5, each of the trajectories on the map corresponding to the moving path in which the dose rate less than the predetermined value α1 (α1 is a positive real number) is obtained as a measurement result by the above-described measurement apparatus 10 is indicated by a dotted line. Yes. In addition, as a measurement result by the measurement apparatus 10 described above, the trajectory on the map corresponding to the moving route where the dose rate from the predetermined value α1 to another predetermined value α2 (α2 is a real number larger than α1) is obtained. Each is shown by a thin solid line. In addition, as a measurement result by the measurement apparatus 10 described above, each of the trajectories on the map corresponding to the movement route where the dose rate equal to or higher than the predetermined value α2 is indicated by a thick solid line.

  According to the measurement results aggregated as shown in FIG. 5, for example, the dose rate in the area where the movement paths indicated by the thick solid lines are concentrated and distributed may be about the predetermined value α2 described above. It is possible to provide information indicating an indication of radiation dose, such as high.

  Here, the moving body 1 on which the measuring device 10 shown in FIG. 1 is mounted is not limited to a vehicle, but may be a bicycle or the like, or a person or a pet may carry the measuring device 10. Then, according to the measurement device 10 of the present disclosure, for example, during daily movement such as commuting, shopping, walking, etc., measurement of the dose rate in the movement path along which the person or pet carrying the measurement device 10 has moved. The result can be obtained. For example, each inhabitant in a certain area carries the measurement device 10 of the present disclosure and carries out daily life, thereby obtaining measurement results of dose rates on various roads passing through the area, and obtaining the obtained measurement results. The data can be accumulated in the aggregation device 2.

  Next, consider a case where the moving path of the moving body 1 straddles the boundary between one area and another area where a radiation field having a substantially uniform intensity is formed.

  FIG. 6 shows another example of the moving path of the moving body 1 shown in FIG. 6 that are the same as those shown in FIG. 2 are given the same reference numerals, and descriptions thereof are omitted.

  The moving route Q shown in FIG. 6 is such that the moving body 1 shown in FIG. 1 moves from the first point PS in the region Rb indicated by the broken line to the second point Pe in the region Ra indicated by the solid line. It is an example of the movement path | route at the time of moving to. Each of the symbols P1, P2, P3, P4, P5, and P6 shown in FIG. 6 indicates a point on the moving route Q through which the moving body 1 passes every predetermined time after leaving the first point Ps. Reference numeral Pc denotes an example of an intersection of the movement route Q and the boundaries of the regions Ra and Rb. Here, the predetermined time may be a time of about several seconds to several tens of seconds, for example.

  In the example of FIG. 6, the speed of the moving body 1 when moving from the point Ps to the point P3 in the moving route Q is compared with the speed of the moving body 1 when moving from the point P4 to the second point Pe. The slow case is shown.

  FIG. 7 shows another example of the integration result obtained by the integration unit 12 shown in FIG. In FIG. 7, the horizontal axis t indicates the passage of time, and the vertical axis S indicates the magnitude of the integrated value of radiation dose.

  The broken line G shown in FIG. 7 shows the time change of the integrated value of the radiation dose obtained by the integrating unit 12 when the moving body 1 shown in FIG. 1 moves along the moving route Q shown in FIG. . In FIG. 7, the symbol Ts indicates the time when the mobile body 1 passes the first point Ps shown in FIG. 6, and the symbol Te indicates the mobile body 1 passes the second point Pe shown in FIG. 6. Indicates the time. Similarly, the symbol Tc indicates the time when the moving body 1 passes through the intersection Pc shown in FIG.

  Moreover, each of the codes | symbols T1, T2, T3, T4, T5, and T6 shown in FIG. 7 shows the time when the mobile body 1 passed the points P1, P2, P3, P4, P5, and P6 shown in FIG. Show.

  As described with reference to FIGS. 2 and 3, the integration result obtained by the integration unit 12 included in the measurement apparatus 10 illustrated in FIG. 1 indicates that the moving body 1 on which the measurement apparatus 10 is mounted is in the areas Ra and Rb. Regardless of the speed of movement, the time increases in proportion to the time spent in each area.

  Therefore, in the polygonal line G shown in FIG. 7, the slope of the portion corresponding to the period from time T1 to time Tc indicates the dose rate in the region Rb, and the portion corresponding to the period from time Tc to time T2 The inclination indicates the dose rate in the region Ra.

  In other words, if a location where the rate of change of the integration result obtained by the integration unit 12 changes with time is found, the moving body 1 crosses the boundary between regions having different dose rates as the time corresponding to the found location. Can be specified. That is, the time Tc corresponding to the intersection Pc shown in FIG. 6 can be specified by analyzing the characteristics of the time change of the integration result shown in FIG.

  The calculation unit 13 illustrated in FIG. 1 includes a section corresponding to the travel route Q illustrated in FIG. 6 before the time Tc specified based on the rate of change of the integration result with respect to time, and a section corresponding to after the time Tc. It is desirable to calculate the dose rate for each section obtained by the division. When the calculation unit 13 obtains the dose rate for each travel route across different areas by obtaining the dose rate for each section of the travel route divided based on the rate of change of the integration result with respect to time. In comparison, measurement results with less error can be obtained.

  In the following description, when the dose rate is calculated by dividing the movement path of the moving body 1 into a plurality of sections, a portion where each section is divided in the movement path is referred to as a break point. In the example described with reference to FIG. 6 and FIG. 7, the point Pc and the time Tc indicating the location where the rate of change of the integration result obtained by the integration unit 12 with respect to time is an example of a break point. Another example of the break point will be described later with reference to FIGS.

  FIG. 8 shows another embodiment of the measurement apparatus 10, the measurement system 100, the measurement method, and the measurement program. 8 that are the same as those shown in FIG. 1 are given the same reference numerals, and descriptions thereof are omitted.

  The in-vehicle unit MU illustrated in FIG. 8 includes a communication processing unit 14 in addition to the sensor 11 and the integrating unit 12 among the components included in the measurement device 10 illustrated in FIG. On the other hand, the aggregation device 2 shown in FIG. 8 includes a communication processing unit 101, a control unit 102, a device information database 103, a calculation unit 13, a measurement result storage unit 104, a display processing unit 105, and a map information database. 106. The measurement system 100 shown in FIG. 8 includes at least one in-vehicle unit MU, the aggregation device 2, and the display device DSP.

  In the example of FIG. 8, the measurement device 10 includes a sensor 11 and an integration unit 12 included in the in-vehicle unit MU, and a calculation unit 13 included in the accumulation unit 2. As shown in FIG. 8, by sharing the function of the calculation unit 13 included in the measurement device 10 with the aggregation device 2, it is possible to reduce the processing load of the in-vehicle unit MU mounted on each mobile body 1.

  The communication processing unit 14 included in the in-vehicle unit MU illustrated in FIG. 8 indicates the position of the moving body 1 from the car navigation system NV mounted on the moving body 1 at predetermined time intervals of, for example, several seconds to several tens of seconds. Information, that is, position information is acquired. In addition, the communication processing unit 14 acquires the integration result of the measurement values obtained by the sensor 11 from the integration unit 12 every predetermined time described above, and sends it to the aggregation device 2 together with the position information acquired from the car navigation system NV. To do.

For example, the communication processing unit 14 corresponds to the time Ts, time T1 to T6 and time Te shown in FIG. 7 from the car navigation system NV, and the first point Ps, points P1 to P6 shown in FIG. Position information indicating the second point Pe can be acquired. Moreover, the communication processing part 14 can acquire the integration result which shows the radiation dose integrated | accumulated by the integrating | accumulating part 12 by each time corresponding to the above-mentioned time Ts, time T1-T6, and time Te.
Note that the communication processing unit 14 desirably adds, for example, a device number as information for identifying each of the in-vehicle units MU in the measurement system 100 to the information sent to the aggregation device 2. Further, the communication processing unit 14 further acquires, for example, information indicating whether the moving body 1 is moving or stationary from the car navigation system NV as information indicating the moving state of the moving body 1, and uses the acquired information. You may add to the information sent to the aggregation apparatus 2. FIG. Further, the communication processing unit 14 may acquire information indicating the transition from the stationary state to the moving state or the transition from the moving state to the stationary state from the car navigation system NV as information indicating the moving state of the mobile body 1. Good.

  In the aggregation device 2 illustrated in FIG. 8, the communication processing unit 101 receives information transmitted by at least one in-vehicle unit MU and passes it to the control unit 102. The control unit 102 stores, in the device information database 103, the time, position information, movement state, and integration result included in the received information corresponding to the device number included in the information received via the communication processing unit 101. To do.

  FIG. 9 shows an example of the device information database 103 shown in FIG. Note that among the elements shown in FIG. 9, elements equivalent to those shown in FIG. 7 are denoted by the same reference numerals, and description thereof is omitted.

  The apparatus information database 103 shown in FIG. 9 corresponds to the apparatus number Ma indicating the in-vehicle unit MU mounted on the moving body 1 moving along the movement path Q shown in FIG. 2 stores the transmitted information. In FIG. 9, symbols Xs and Ys indicate position information of the first point Ps shown in FIG. 6, and symbols Xa1 and Ya1 indicate position information of the point P1 shown in FIG. Similarly, reference numerals Xa2 and Ya2 indicate position information of the point P2 illustrated in FIG. 6, and reference numerals Xa3 and Ya3 indicate position information of the point P3 illustrated in FIG. Reference numerals Xa4 and Ya4 indicate position information of the point P4 illustrated in FIG. 6, and reference numerals Xa5 and Ya5 indicate position information of the point P5 illustrated in FIG. Reference numerals Xa6 and Ya6 indicate position information of the point P6 illustrated in FIG. 6, and reference numerals Xe and Ye indicate position information of the second point Pe illustrated in FIG. Further, the symbols Ss, Sa1, Sa2, Sa3, Sa4, Sa5, Sa6, Se shown in FIG. 9 are the time Ts, T1, T2, T3, T4, T5, T6, Te shown in FIG. An integration result obtained by integrating the measurement value of the sensor 11 by the integration unit 12 is shown. Further, the device information database 103 illustrated in FIG. 9 indicates that the moving state of the in-vehicle unit MU indicated by the device number Ma is moving over a period from time Ts to time Te. In the example of FIG. 9, illustration of information obtained after time Te by the in-vehicle unit MU indicated by the device number Ma and illustration of information obtained in other in-vehicle units are omitted.

  Further, as illustrated in FIG. 9, the device information database 103 may hold setting parameters set in the in-vehicle unit MU indicated by the device number corresponding to each device number. The setting parameters will be described later with reference to FIGS.

  The calculation unit 13 shown in FIG. 8 is based on the information held for each in-vehicle unit MU in the device information database 103 shown in FIG. 9 when the moving path of the in-vehicle unit MU straddles regions with different dose rates. In addition, the dose rate for each section corresponding to each region is calculated. The calculation unit 13 includes an inclination analysis unit 131 and a dose rate calculation unit 132.

  The inclination analysis unit 131 compares the accumulated result corresponding to each time with the inclination of the polygonal line G shown in FIG. The part where the characteristic has changed is detected as a breakpoint. For example, the slope analysis unit 131 may detect a location where a difference of the integration result corresponding to each time has changed by a predetermined threshold or more, and specify the detected location as a break point. Note that the slope analysis unit 131 uses a value larger than a value corresponding to an average amount of variation in environmental radiation dose as a threshold for determining whether there is a change in the characteristics of the integration result with time, for example. It is desirable to set.

  For example, if the inclination of the portion of the polygonal line G shown in FIG. 7 from time Ts to time T3 is compared with the inclination of the portion from time T4 to time Te, it is shown in FIG. 6 between time T3 and time T4. It can be seen that the moving body 1 has passed the boundary between the regions Ra and Rb. For example, the slope analyzing unit 131 extrapolates the part from the time Ts to the time T3 of the polygonal line G and the part from the time T4 to the time Te, so that the time Tc shown in FIG. You may obtain | require as time to do. Further, the inclination analysis unit 131 uses the obtained time Tc and the position information indicating the point Pc shown in FIG. 6 based on the position information indicating the point P3 and the point P4 where the moving body 1 has passed at the time T3 and the time T4. Information may be obtained and the obtained position information may be passed to the dose rate calculation unit 132.

  The break point detected by the slope analysis unit 131 described above indicates a boundary between a section in which the time change rate of the integration result maintains a certain value and a section having a different value. That is, the dose rate is substantially constant by obtaining the dose rate for the section before the breakpoint detected by the inclination analysis unit 131 shown in FIG. 8 and the section after the breakpoint in the movement route. The dose rate can be obtained for each section corresponding to the area where the operation is performed.

  The dose rate calculation unit 132 shown in FIG. 8 is integrated from the apparatus information database 103 based on the information passed from the inclination analysis unit 131, corresponding to the start point and end point of the section where the rate of change with respect to time is constant. Acquire information indicating the result and time. In addition, the dose rate calculation unit 132 is required for passing through the section and the difference between the integration result corresponding to the start point and the integration result corresponding to the end point for each section based on the information acquired from the apparatus information database 103. The time, that is, the required time is obtained. Furthermore, the dose rate calculation unit 132 calculates the dose rate in the section based on the difference between the integration results obtained for each section and the required time.

  For example, the dose rate calculation unit 132 receives information indicating that a delimiter point has been detected between the time T3 and the time T4 shown in FIG. 7 from the inclination analysis unit 131, and detects the delimiter detected as follows. Calculate the dose rate for the section before and after the point. Here, the travel route Q shown in FIGS. 6 and 7 is divided into a section from the first point P2 to the separation point and a section from the separation point to the second point Pe by the above-described separation points. Think about the case.

  First, the dose rate calculation unit 132 performs integration results Ss and integration results Sa3 held in the device information database 103 corresponding to time Ts and time T3 as integration results corresponding to the start point and end point in the section before the break point. And get. Similarly, the dose rate calculation unit 132 calculates the integration results Sa4 and the integration results held in the apparatus information database 103 corresponding to the time T4 and the time Te as the integration results corresponding to the start point and the end point in the section after the break point. Get Se.

  Next, the dose rate calculation unit 132 divides the difference between the integration result Ss and the integration result Sa3 by the difference between the time Ts and the time T3, so that the dose rate calculation unit 132 in the section before the change point detected by the inclination analysis unit 131 is obtained. Determine the dose rate. Similarly, the dose rate calculation unit 132 divides the difference between the integration result Sa4 and the integration result Se by the difference between the time T4 and the time Te, so that a section after the change point detected by the inclination analysis unit 131 is obtained. Determine the dose rate at.

  Similarly, the dose rate calculation unit 132, when the tilt analysis unit 131 detects a plurality of delimiter points in the moving path of the moving body 1, dose rates corresponding to the sections delimited by the delimiter points. Can be requested.

  Note that the dose rate calculation unit 132 converts the dose rate obtained by dividing the integration result obtained in the movement process by the time taken for movement using, for example, a predetermined coefficient, thereby affecting the human body. A dose equivalent indicating the degree of the above may be obtained.

  Further, when the dose rate calculation unit 132 accumulates information indicating the dose rate obtained for each section in the measurement result accumulation unit 104 illustrated in FIG. 8, for example, as illustrated in FIG. You may accumulate | store corresponding to the apparatus number to show and the section number which shows each area. The dose rate calculation unit 132 receives the position information received from the inclination analysis unit 131 corresponding to the detected breakpoint, and the position information indicating the end point of the section before the breakpoint and the start point of the section after the breakpoint It may be used as

  FIG. 10 shows an example of the measurement result storage unit 104 shown in FIG. Note that, among the elements shown in FIG. 10, elements equivalent to those shown in FIG. 9 are given the same reference numerals and description thereof is omitted.

  The measurement result accumulation unit 104 illustrated in FIG. 10 corresponds to the device number Ma indicating the in-vehicle unit MU illustrated in FIG. 8 and the two sections included in the movement route Q illustrated in FIG. 6 are illustrated in FIG. Information indicating the dose rate obtained by the calculation unit 13 is accumulated. In FIG. 10, the unit of the dose rate is, for example, micro gray / hour (μGy / h).

  The measurement result storage unit 104 illustrated in FIG. 10, for example, converts the movement route Q into the section of the section number 1 and the section of the section number 2 before and after the break point detected by the inclination analysis unit 131 illustrated in FIG. When divided, the dose rates obtained for these sections are shown.

  For example, the measurement result storage unit 104 indicates that the dose rate in the section of section number 1 is Da1 microgray / hour, and the dose rate in the section of section number 2 is Da2 microgray / hour.

  Further, the measurement result accumulation unit 104 includes coordinates Xs and Ys indicating the position of the first point Ps shown in FIG. 6 as the start point position of the section of section number 1. In addition, the measurement result accumulation unit 104 uses coordinates Xac and Yac indicating positions on the movement path Q corresponding to the breakpoints obtained by the inclination analysis unit 131 shown in FIG. Including.

  Further, the measurement result accumulating unit 104 includes coordinates Xac and Yac indicating the position on the movement route Q corresponding to the above-described breakpoint as the start point position of the section of section number 2. On the other hand, the measurement result storage unit 104 includes coordinates Xe and Ye indicating the position of the second point Pe shown in FIG. 6 as the end point position of the section of section number 2.

  Further, as shown in FIG. 10, the measurement result accumulation unit 104 performs measurement of the dose rate while moving as information indicating the movement state included in the measurement result corresponding to each of the sections included in the movement route. Information to that effect may be accumulated.

  According to the measurement apparatus 10 including the calculation unit 13 having the inclination analysis unit 131 and the dose calculation unit 132 described above, when the moving path of the moving body 1 is straddling regions having different dose rates, each region corresponds to each region. The dose rate can be measured for each section. Therefore, according to the measurement apparatus 10 shown in FIG. 8, even when the movement path extends over regions having different dose rates, a measurement result that faithfully reflects the intensity of the radiation dose field in each region is obtained. be able to.

  The display processing unit 105 illustrated in FIG. 8 is obtained by the calculation unit 13 based on the information accumulated in the measurement result accumulation unit 104 by the dose rate calculation unit 132 and the information included in the map information database 106. Display information for displaying the measurement result on the map is generated. The display processing unit 105 may generate display information as described below, for example, in accordance with an instruction from the control unit 102, and present the generated display information to the user by the display device DSP.

  For example, the display processing unit 104 refers to the map information database 106 using the start point position and the end point position stored in association with the device number Ma and the section number 1 in the measurement result storage unit 104 illustrated in FIG. 105 identifies a road or the like indicating the section of section number 1 on the map. Similarly, the display processing unit 105 specifies a road or the like indicating the section of the section number 2 on the map based on the information stored in the measurement result storage section 104 corresponding to the section number 2. In addition, the display processing unit 105 superimposes on the roads on the map specified for each of the sections indicated by the section numbers 1 and 2, and displays the dose rates Da1 and Da2 accumulated corresponding to the section numbers 1 and 2. Display information for displaying a line segment having a corresponding thickness is generated. In addition, the display processing unit 105 sends the generated display information to the display device DSP, and displays the measurement result obtained corresponding to the section numbers 1 and 2 on the display device DSP, thereby presenting it to the user. Can do.

  Note that the calculation unit 13 including the inclination analysis unit 131 and the dose rate calculation unit 132 illustrated in FIG. 8 may be included in the in-vehicle unit MU. In addition, when the above-described calculation unit 13 is included in the in-vehicle unit MU, the communication processing unit 14 delimits the movement path of the moving body 1 at the above delimitation points instead of the accumulation result obtained by the accumulation unit 12. For each section obtained in this way, the dose rate obtained by the calculation unit 13 may be sent out.

  By the way, when the change of the dose rate received in the area through which the mobile body 1 passes is more gradual than the change of the dose rate in the vicinity of the boundary between the regions Ra and Rb shown in FIG. The change as shown in FIG. 7 may not appear in the time change rate of the integrated result. In such a case, the calculation unit 13 detects, for example, a point where a change has occurred in the moving direction of the moving body 1 as a delimiter point in the course of movement of the moving body 1, and sets the movement path using the detected delimiter point. The dose rate may be calculated for each section obtained by division.

  FIG. 11 shows another embodiment of the measurement apparatus 10, the measurement system 100, the measurement method, and the measurement program. Note that, among the components shown in FIG. 10, the same components as those shown in FIG. 8 are denoted by the same reference numerals and description thereof is omitted.

  The in-vehicle unit MU illustrated in FIG. 11 includes a measurement device 10 and a communication processing unit 14, and the communication processing unit 14 sends the measurement result obtained by the measurement device 10 to the aggregation device 2.

  The measurement apparatus 10 shown in FIG. 11 includes an accumulation unit 121 that holds the accumulation result obtained by the accumulation unit 12 in accordance with the time in the process in which the moving body 1 moves. In addition, the calculation unit 13 obtains a dose rate as a feature amount per unit time in the movement path of the moving body 1 based on the information accumulated in the accumulation unit 121. The calculation unit 13 illustrated in FIG. 11 includes a dose rate calculation unit 132 and a motion analysis unit 133.

  The motion analysis unit 133 receives information indicating the speed of the moving body 1 from the car navigation system NV, for example, every predetermined time of about several seconds to several tens of seconds. In addition, the motion analysis unit 133 compares the received information, so that the time corresponding to the location where the predetermined change has occurred in the speed of the moving body 1 in the process of moving the moving body 1 along the moving path, Identified as a breakpoint. In addition, the motion analysis unit 133 identifies, for example, the time when the moving direction of the moving body 1 has changed to a predetermined value or more and the time when the moving body 1 stops or resumes moving, and the identified time is set as one of the breakpoints. You may specify. Furthermore, the motion analysis unit 133, for example, when the traveling direction of the moving body 1 has changed by 60 degrees or more with respect to the immediately preceding traveling direction, or the altitude of the moving body 1 has changed by about 100 meters. In this case, it may be determined that a change has occurred in the moving direction of the moving body 1.

  The motion analysis unit 133 delimits the movement path by delimiting a range that the dose rate calculation unit 132 refers to when calculating the dose rate among the integration results accumulated in the accumulation unit 121 based on the time specified as the delimiter point. The dose rate is calculated for each section divided at the above-described breakpoints. Further, when detecting a change in the speed of the moving body 1, the motion analysis unit 133 may acquire information indicating the position of the moving body 1 from the car navigation system NV as a part of the information indicating the break point. . In addition, the motion analysis unit 133 may pass the position information acquired as information indicating the breakpoints to the communication process 14 in association with the dose rate obtained by the dose rate calculation unit 132.

  FIG. 12 shows an example of the moving path of the moving body 1 shown in FIG. The reference sign Q shown in FIG. 12 is an example of a moving route from the first point indicated by the reference sign P0 to the second point P3 through the point indicated by the reference signs P1 and P2. is there. Moreover, in FIG. 12, the code | symbol HW shows the highway and code | symbol SA has shown the service area along the highway HW. The symbol IC indicates an interchange, and the symbol NR indicates a general road such as a national road.

  For example, the moving body 1 moves from the first point P0 to the point P1 at a substantially constant speed, temporarily stops at the point P1, restarts the movement at the substantially constant speed, and then moves at the point P2. Let us consider a case of moving to the second point P3.

  When the moving body 1 moves as described above, the motion analysis unit 133 illustrated in FIG. 11 moves to the point P1 illustrated in FIG. 12 as a breakpoint in the process of moving the moving body 1 along the movement path Q. Arrival time, departure time at point P1, and arrival time at point P2.

  In addition, based on the integration result accumulated in the accumulation unit 121 corresponding to the time specified by the motion analysis unit 133, the dose rate calculation unit 132, for each section obtained by dividing the movement route Q by the above-described delimiter points, Calculate the dose rate.

  For example, when the arrival time at the point P1 is specified by the motion analysis unit 133 by the motion analysis unit 133, the dose rate calculation unit 132 is based on the integration result stored in the storage unit 121 before the specified time. Of Q, the dose rate for the section from the point P0 to the point P1 is calculated. In addition, when the movement analysis unit 133 specifies the time of departure from the point P1, the dose rate calculation unit 132 stores in the storage unit 121 corresponding to the time from the arrival time at the point P1 to the departure time of the point P1. Based on the integrated result, the dose rate during the period of stationary at the point P1 is calculated. Further, when the arrival time at the point P2 is specified by the motion analysis unit 133, the dose rate calculation unit 132 is stored in the storage unit 121 corresponding to the time from the departure time at the point P1 to the arrival time at the point P2. Based on the integration result, the dose rate for the section from the point P1 to the point P2 is calculated. Furthermore, when the arrival time at the point P3 is specified by the motion analysis unit 133, the dose rate calculation unit 132 is stored in the storage unit 121 from the departure time at the point P2 to the arrival time at the point P3. Based on the accumulated result, the dose rate for the section from the point P2 to the point P3 is calculated.

  According to the measurement apparatus 10 having the calculation unit 13 illustrated in FIG. 11, for example, a movement route at a point where the movement direction has changed regardless of whether or not the dose rate varies in an area through which the moving body 1 passes. The dose rate can be measured for each section obtained by dividing.

  The motion analysis unit 13 detects a point in time during which the speed of the moving body 1 is substantially constant over a predetermined time or more as a delimiter point, and a dose rate calculation unit 133 for each section delimited by the detected delimiter point. The dose rate may be calculated. According to the measuring apparatus 10 having such a motion analysis unit 13, for example, when performing measurement in the process of moving a long distance along an expressway, for each section obtained by dividing the travel distance on the expressway into a plurality of sections. The dose rate in the section can be acquired. In this way, when measuring a movement path over a long distance by dividing it into a plurality of sections, the variation of the dose rate in each section is smaller than the fluctuation through the entire movement path. Therefore, according to the measurement apparatus 10 shown in FIG. 11, even when the moving body 1 moves through an area where the dose rate is slowly changing, as a dose rate corresponding to each section, the moving route Compared to the case where the dose rate is obtained collectively, a measurement result with less error can be obtained.

  The communication processing unit 14 illustrated in FIG. 11 receives, for example, the position information corresponding to the breakpoints via the motion analysis unit 133 together with the dose rate obtained by the dose rate calculation unit 132 corresponding to each of the above-described sections. The received information is sent to the aggregation device 2. The communication processing unit 14 generates, for example, a section number indicating the order of receiving the dose rate corresponding to the section corresponding to the dose rate received from the dose rate calculating unit 132, and indicates the measurement result by the measurement apparatus 10 May be sent to the aggregating apparatus 2 as a part thereof. In addition, the communication processing unit 14 determines whether the dose rate obtained by the dose rate calculation unit 132 from the motion analysis unit 133 is a measurement result obtained by moving measurement or a measurement result obtained by stationary measurement. The received information may be received and sent as part of the measurement result. Further, it is desirable that the communication processing unit 14 adds information indicating a device number set in advance to the in-vehicle unit MU to information indicating the measurement result, and then sends the information to the aggregation device 2.

  The aggregation device 2 illustrated in FIG. 11 includes a communication processing unit 101, a control unit 102, a measurement result storage unit 104, a display processing unit 105, and a map information database 106.

  The control unit 102 receives information indicating the measurement result from the in-vehicle unit MU via the communication processing unit 101, and accumulates the measurement result in the measurement result accumulation unit 104 based on the device number included in the received information.

  FIG. 13 shows an example of the measurement result storage unit 104 shown in FIG. In FIG. 13, the measurement result storage unit 104 stores the measurement results received from the in-vehicle unit MU indicated by the device number corresponding to the device number, as in the example illustrated in FIG. 10.

  In FIG. 13, a symbol Mb indicates a device number indicating the in-vehicle unit MU illustrated in FIG. 11. Reference numerals X0 and Y0 indicate the position of the point P0 shown in FIG. 12, and reference numerals X1 and Y1 indicate the position of the point P1 shown in FIG. Similarly, reference numerals X2 and Y2 indicate the position of the point P2 shown in FIG. 12, and reference numerals X3 and Y3 indicate the position of the point P3 shown in FIG.

  The measurement result storage unit 104 shown in FIG. 13 receives the start point position and end point position of each section indicated by each of the section numbers 1, 2, 3, and 4 as the measurement result received from the in-vehicle unit MU indicated by the apparatus number Mb. And information indicating the dose rate and the movement state.

  For example, the measurement result storage unit 104 has a section indicated by the section number 1 from the start position (X0, Y0) to the end position (X1, Y1). Information indicating that Db1 micro gray / hour (μGy / h) was obtained is accumulated. Similarly, the measurement result accumulation unit 104 is a section indicated by section number 2 from the start position (X1, Y1) to the end position (X1, Y1). Information indicating that the rate Db2 micro gray / hour (μGy / h) was obtained is accumulated. In addition, the measurement result accumulation unit 104 is a section indicated by the section number 3 from the start position (X1, Y1) to the end position (X2, Y2), and the dose rate is obtained as a measurement result during movement in this section. Information indicating that Db3 micro gray / hour (μGy / h) was obtained is accumulated. In addition, the measurement result accumulation unit 104 is a section indicated by section number 4 from the start position (X2, Y2) to the end position (X3, Y3). As a measurement result during movement in this section, a dose rate is obtained. Information indicating that Db4 micro gray / hour (μGy / h) was obtained is accumulated.

  Further, based on the information accumulated in the measurement result accumulation unit 104 and the map information database 106 shown in FIG. 11, the display processing unit 105 displays the locus on the map corresponding to each section and the measured dose rate. Display information indicating the correspondence with the information is generated and presented via the display device DSP.

  Note that the calculation unit 13 included in the measurement device 10 illustrated in FIG. 11 may be included in the aggregation device 2, and the calculation unit 13 includes the inclination analysis unit 131 and the motion analysis unit illustrated in FIG. 133 may be included. Moreover, the calculation part 13 is provided in both the vehicle-mounted unit MU and the aggregation apparatus 2, and the process which calculates a dose rate according to the communication state etc. between the vehicle-mounted unit MU and the aggregation apparatus 2 is carried out, for example. You may switch whether it performs with MU or the aggregation apparatus 2. FIG.

  Further, for example, when the dose rate is calculated by the calculation unit 13 or when the measurement result is accumulated in the measurement result accumulation unit 104 by the aggregation device 2, the unit of the dose rate obtained as the measurement result is converted to a sievert or the like. You may perform the process to do. If such a conversion is performed, the measurement result obtained by the measurement apparatus 10 disclosed in the present disclosure can be shown in the same unit system as the measurement result obtained by the existing monitoring post. Can be easily compared.

  The measuring device 10 of the present disclosure described above can be realized by using a mobile terminal such as a smartphone or a tablet personal computer, for example. Similarly, the aggregation device 2 shown in FIGS. 1, 8, and 11 can be realized by a computer device such as a personal computer or a server device. In addition, the measurement system 100 disclosed in the present disclosure can be realized by connecting the measurement device 10 realized by a mobile terminal such as a smartphone and the aggregation device 2 realized by a computer device via a network. .

  FIG. 14 shows a hardware configuration example of the measurement apparatus 10 and the measurement system 100. 14 that are the same as those shown in FIG. 1, FIG. 8, and FIG. 11 are given the same reference numerals, and descriptions thereof are omitted.

  The measurement system 100 illustrated in FIG. 14 includes n (n is a positive integer) number of measurement devices 10_1,..., 10_n and the aggregation device 2, and the measurement devices 10_1,. Are connected via a network NW. Note that the measurement devices 10_1,..., 10_n all have the same configuration, and in FIG. 14, the components included in the measurement device 10_1 are illustrated, and the components included in the measurement device 10_n are illustrated. The illustration of other measuring devices is omitted. Moreover, in the following description, when measuring device 10_1, ..., 10_n is named generically, it will only be called the measuring device 10.

  A measurement apparatus 10 illustrated in FIG. 14 includes a mobile terminal 20 such as a smartphone or a tablet personal computer, and a radiation sensor 111 corresponding to the sensor 11 illustrated in FIGS. 1, 8, and 11.

  The mobile terminal 20 shown in FIG. 14 includes a processor 21, a memory 22, a network interface (I / F) 23, a general-purpose interface (I / F) 24, and a GPS (Global Positioning System) signal processing unit 25. And an acceleration sensor 26. The processor 21, the memory 22, the network interface 23, the general-purpose interface 24, the GPS signal processing unit 25, and the acceleration sensor 26 are connected to each other via a bus. In addition, the mobile terminal 20 is connected to the radiation sensor 111 via the general-purpose interface 24.

  On the other hand, the aggregation device 2 includes a processor 31 included in the server device 30, a memory 32, a hard disk device 33, and a network interface (I / F) 34. The server device 30 may include an optical drive device 35 in addition to the processor 31, the memory 32, the hard disk device 33, and the network interface (I / F) 34 described above. In the server device 30, the processor 31, the memory 32, the hard disk device 33, the network interface (I / F) 34, and the optical drive device 35 are connected to each other via a bus. The optical drive device 35 described above can be mounted with a removable disk 36 such as an optical disk, and reads and records information recorded on the mounted removable disk 36.

  The server device 30 is connected to the map information server MAP, the web server WBS, and the monitoring system MON via the network NW, and exchanges information with the map information server MAP, the web server WBS, and the monitoring system MON. Is possible.

  The memory 22 included in the mobile terminal 20 stores an application program for the processor 21 to execute measurement processing by the measurement method illustrated in FIG. 4 together with the operating system of the mobile terminal 20. The application program for the measurement process described above may be stored in the memory 22 by downloading from another server device on the network NW via the network interface 23, for example.

  The processor 21 can realize the functions of the integration unit 12 and the calculation unit 13 illustrated in FIGS. 1, 8, and 11 by executing an application program for measurement processing stored in the memory 22. Further, the storage unit 121 shown in FIG. 11 can be realized by using a part of the storage area in the memory 22.

  In addition, the application program for the measurement process may include a process for realizing the function of the communication processing unit 14 illustrated in FIGS. 8 and 11 by using the function of the network interface 23. Furthermore, the application program for the measurement process is a remote measurement mode process that autonomously executes calculation of the dose rate in the measurement apparatus 10 and a remote that notifies the integrated value of the radiation dose in response to an instruction from the aggregation apparatus 2. Both measurement mode processing and processing may be included.

  In addition, the memory 32 included in the server device 30 stores an application program for executing a process in which the processor 31 aggregates the measurement results obtained by the measurement devices 10_1,. doing. Note that the application program for the process of aggregating the measurement results described above can be recorded and distributed on a removable disk 36 such as an optical disk, for example. Then, by loading the removable disk 36 in the optical drive device 35 and performing a reading process, an application program for processing for collecting the measurement results may be stored in the memory 22 or the hard disk device 33. Alternatively, an application program for a process of aggregating measurement results may be downloaded from another server device on the network NW via the network interface 34, and stored in the memory 32 or the hard disk device 33.

  The processor 31 can implement the functions of the control unit 102 and the display processing unit 105 illustrated in FIGS. 8 and 11 by executing an application program for processing for collecting measurement results stored in the memory 32. it can. Further, the device information database 103 and the measurement result storage unit 104 illustrated in FIG. 8 can be realized by using a part of the storage area of the memory 32 or the hard disk device 33. In addition, by exchanging information with the map information server MAP via the network interface 34, functions equivalent to those when the map information database 106 shown in FIGS. 8 and 11 is included in the aggregation device 2 are provided. Can fulfill.

  In addition, the application program for the process of aggregating the measurement results includes a process for realizing the function of the communication processing unit 101 shown in FIGS. 8 and 11 by using the function of the network interface 34. Also good. Furthermore, the application program for the process of collecting the measurement results has a dose rate based on the process of receiving the dose rate calculated autonomously by the measurement apparatus 10 and the integrated value of the radiation dose collected from the measurement apparatus 10. Both of the processing to calculate may be included.

  FIG. 15 shows the operation of the measuring apparatus 10 shown in FIG. Each process of step S311 to step S323 illustrated in FIG. 15 is an example of a process included in the application program for the measurement process. In addition, each processing of step S <b> 311 to step S <b> 323 is executed by the processor 21 included in the mobile terminal 20.

  In step S <b> 311, the processor 21 notifies the aggregation device 2 that measurement is started via the network interface 23, and acquires setting parameters from the aggregation device 2. Here, the setting parameters are various parameters used when the processor 21 performs the functions of the integrating unit 12 and the calculating unit 13 illustrated in FIGS. 1, 8, and 11. The setting parameter is used, for example, when detecting a predetermined time indicating a time interval for accumulating measurement data including a radiation dose integration result or position information, or a break point described with reference to FIGS. Includes thresholds. In addition, in the process of step S <b> 311, the processor 21 sends a measurement result to the aggregation device 2 when the processor 21 performs measurement processing in the above-described autonomous measurement mode as a part of the setting parameter. It is desirable to obtain information indicating the interval for reporting In step S311, the processor 21 sets an initial value 0 to the variable S for integrating the measured values of radiation dose.

  In step S312, the processor 21 integrates the measurement value indicating the radiation dose acquired from the radiation sensor 111 via the general-purpose interface 24 illustrated in FIG.

  In step S313, the processor 21 determines whether or not a predetermined time indicated by the setting parameter has elapsed after starting the measurement or recording the variable S indicating the integration result in step S314 described later. To do.

  When the elapsed time is less than the predetermined time described above (No determination in step S313 (NO)), the processor 21 returns to the process of step S312 and continues the process of integrating the radiation dose.

  On the other hand, when the elapsed time is equal to or longer than the predetermined time described above (No determination in step S313 (YES)), the processor 21 proceeds to the process of step S314.

  In step S314, the processor 21 acquires the position information from the GPS signal processing unit 25, and uses the acquired position information and the value of the variable S indicating the result of integrating the radiation dose as measurement data corresponding to the current time. Is stored in the storage unit 121 provided in FIG. Further, the processor 21 receives information indicating the acceleration received by the mobile terminal 20 from the acceleration sensor 26, and the mobile terminal 20 moves from stop to stop or from stop to stop based on the received information. You may generate | occur | produce the movement status information which shows which state of resumption. The processor 21 preferably stores the generated movement state information in the above-described storage unit 121 as a part of measurement data corresponding to the current time.

  In step S315, the processor 21 determines whether or not to perform measurement in the autonomous measurement mode. For example, when the start of measurement of radiation dose is instructed, the processor 21 receives a setting of information specifying measurement in the autonomous measurement mode or measurement in the remote measurement mode from the user of the mobile terminal 20 and sets the information. Based on the obtained information, the determination in step S315 may be performed. Information specifying measurement in the autonomous measurement mode or measurement in the remote measurement mode may be set in the memory 22 in advance.

  When it is instructed to perform measurement in the autonomous measurement mode (Yes in step S315 (YES)), the processor 21 executes the processes in steps S316 to S320.

  In step S316, the processor 21 executes the process of searching for the break point described with reference to FIGS. 6, 7, and 12 based on the measurement data accumulated in the process of step S314. The processor 21 may realize the process of step S316 by executing the processes of steps S331 to S339 described later with reference to FIG.

  In step S317, the processor 21 determines whether or not a breakpoint has been detected in the process of step S316. If a breakpoint has been detected (Yes in step S317 (YES)), the processor 21 performs the process of step S318. Run.

  In step S318, the processor 21 performs the new section obtained by dividing the movement route at the separation point detected in step S316 as described with reference to FIGS. 8 to 10, 11, and 12. To calculate the dose rate. For example, the processor 21 extracts the integration result at the time corresponding to each of the newly detected breakpoint and the breakpoint detected immediately before from the storage unit 121 described above, and the difference between the extracted accumulation results and 2 The dose rate is calculated from the time between two breakpoints. Further, the processor 21 indicates the position information accumulated corresponding to each of the newly detected break point and the break point detected immediately before from the storage unit 121, and indicates the end point and start point of the new section. Obtain as information. Then, the processor 21 includes, in a region provided for storing the measurement result in the memory 22, information indicating the end point and start point of the above-described section and the calculated dose rate as the measurement result corresponding to the new section. Accumulate information. Note that when storing the measurement result corresponding to the new section, the processor 21 may set a section number indicating the new section. In addition, when the distance between the start point and the end point of the new section is less than a predetermined value, the processor 21 adds information indicating that the measurement is performed in a stationary state to the measurement result in the new section. In some cases, information indicating that the measurement is in a moving state may be added. Thereafter, the processor 21 proceeds to the process of step S319.

  On the other hand, when the break point is not detected in the process of step S316 (No determination in step S317 (NO)), the processor 21 proceeds to the process of step S319 without executing the process of step S318.

  In step S319, the processor 21 determines whether or not the report timing has arrived based on the elapsed time since the measurement result was previously reported to the aggregation device 2.

  When the elapsed time is equal to or longer than the time interval of the report timing indicated by the setting parameter, the processor 21 determines that the report timing has arrived (Yes determination in step S319 (YES)), and executes the process of step S320. To do.

  In step S <b> 320, the processor 21 executes a process of reporting the measurement result accumulated in the memory 22 to the aggregation device 2. For example, the processor 21 reads the measurement result accumulated by the process of step S318 described above from the memory 22 after executing the process of step S320 previously, and collects the read measurement result via the network interface 23. 2 may be sent. Further, after the process of step S320 is completed, the processor 21 proceeds to the process of step S321.

  On the other hand, when the elapsed time is less than the time interval of the report timing indicated by the setting parameter (No at Step S319 (NO)), the processor 21 performs the process at Step S321 without performing the process at Step S320. Proceed to

  On the other hand, when it is instructed to perform measurement in the remote measurement mode when an instruction to start measuring the radiation dose is given (No determination in step S315 (NO)), the processor 21 performs steps S322 and S323. Execute the process.

  In step S322, the processor 21 determines whether or not a data transmission request for requesting transmission of the measurement data stored in the storage unit 121 is received from the aggregation device 2 via the network interface 23.

  When the data transmission request has not been received yet (No determination in step S322 (NO)), the processor 21 proceeds to the process of step S321 without performing the process of step S323.

  On the other hand, when a data transmission request is received (Yes in step S322 (YES)), the processor 21 executes the process of step S323.

  In step S323, the processor 21 executes a process of transmitting the measurement data stored in the storage unit 121 to the network interface 23 and transmitting it to the aggregation device 2 via the network NW. For example, after receiving a previous data transmission request, the processor 21 reads the stored measurement data from the memory 22 by repeating the process of step S312 described above every predetermined time, and the read measurement data is a function of the network interface 23. Send using. The processor 21 proceeds to the process of step S321 after the process of step S323 is completed.

  In step S321, for example, the processor 21 determines whether or not to end the measurement based on whether or not an instruction to end the measurement of the dose rate is input from the user of the mobile terminal 20.

  When the instruction to end the measurement is not input (No at Step S321 (NO)), the processor 21 returns to the process at Step S312 and continues the dose rate measurement process. On the other hand, when an instruction to end the measurement is input (Yes in step S321 (YES)), the processor 21 ends the dose rate measurement process.

  When the processor 21 of the mobile terminal 20 executes the processes in steps S311 to S323 described above, the measurement apparatus 10 realized using the mobile terminal 20 automatically measures the dose rate by the measurement method disclosed herein. Can be executed automatically.

  Here, by enabling automatic measurement of the dose rate, even when the measurement device 10 is realized using the mobile terminal 20, the dose rate can be measured without impairing the convenience of the user of the mobile terminal 20. It can be realized. That is, according to the measurement apparatus 10 using the mobile terminal 20, the user of the mobile terminal 20 can easily use the above-described automatic measurement function to easily measure the dose rate as compared to the case where conventional manual measurement is performed. Can be measured. And if the user of the portable terminal 20 will easily perform automatic measurement of the dose rate by the measuring device 10 using the portable terminal 20, the movement path for which the dose rate is measured increases.

  Therefore, according to the measurement apparatus 10 shown in FIG. 14, the spatial distribution of feature quantities such as dose rate in space can be covered more easily than in the case where the dedicated measurement apparatus 10 is mounted on the moving body 1. It is possible to acquire a measurement result for enabling recognition.

  Note that the measurement device 10 illustrated in FIG. 14 includes, for example, an autonomous measurement mode and a remote measurement mode according to the communication state between the mobile terminal 20 included in the measurement device 10 and the server device 30 included in the aggregation device 2. Can also be switched.

  For example, in the negative determination route of step S322 shown in FIG. 15, when detecting that the interval at which the data transmission request is received from the aggregation device 2 exceeds a predetermined time, the processor 21 enters the autonomous measurement mode. May be switched.

  FIG. 16 shows processing (step S316) for searching for a breakpoint shown in FIG. Each process of step S331 to step S339 illustrated in FIG. 16 is an example of a process included in the application program for the measurement process. In addition, each processing of step S331 to step S339 is executed by the processor 21 included in the mobile terminal 20.

  In step S331, as described with reference to FIGS. 6 and 7, the processor 21 changes the time rate of change of the radiation dose integration result for the measurement data obtained after the most recent breakpoint is detected. Detect the location. For example, the processor 21 refers to the measurement data stored in the storage unit 121 provided in the memory 22 and obtains each difference of the integration results stored at predetermined time intervals. Further, the processor may detect a portion where the time change rate of the integration result fluctuates by comparing the obtained differences with each other.

  In step S332, the processor 21 determines whether or not the variation in the time change rate at the location detected in the process of step S331 is equal to or greater than the threshold value indicated by the setting parameter. When the changed portion is not detected in the process of step S331 and when the magnitude of the change at the detected portion is equal to or less than the above-described threshold, the processor 21 sets a breakpoint focusing on the time change rate of the integration result. It is determined that it has not been detected, and the process proceeds to step S333.

  In step S333, the processor 21 changes to the movement state based on the movement state information stored in the storage unit 121 corresponding to the time detected as the latest break point and the movement state information corresponding to the current time. It is determined whether or not there is. When the movement state information corresponding to the most recent break point matches the movement state information corresponding to the current time, and when the state shifted to the most recent break point is still present, the processor 21 It is determined that there is no change in the moving state. If there is no change in the movement state (No at Step S337 (NO)), the processor 21 proceeds to Step S334.

  On the other hand, it was shown that the movement status information corresponding to the latest breakpoint and the movement status information corresponding to the current time do not match, and that the movement status at the latest breakpoint has shifted to another state. In this case, it is determined that the movement state has changed. When there is a change in the moving state (Yes in step S333 (YES)), the processor 21 determines a breakpoint that focuses on a change in the movement of the person who has the measuring device 10 or the moving body on which the measuring device 10 is mounted. It is determined that it has been detected, and the process proceeds to step S339.

  In step S334, the processor 21 determines the elapsed time from the time detected as the latest breakpoint, the movement distance from the position corresponding to the latest breakpoint, the movement direction at the most recent breakpoint, and the current movement direction. Find the difference. For example, the processor 21 may obtain the difference between the time most recently detected as a breakpoint and the current time as the elapsed time described above. Here, since the process of step S334 is executed in the negative determination route of step S333 described above, the elapsed time described above indicates the time during which the moving or stationary state continues. Further, the processor 21 determines the distance between the position indicated by the position information accumulated corresponding to the time detected as the break point most recently and the position indicated by the position information accumulated corresponding to the current time. The above-mentioned movement distance may be obtained. Further, the processor 21 calculates the difference between the movement directions described above as the difference between the movement direction obtained based on the position information accumulated corresponding to the time before and after the latest breakpoint and the movement direction at the current time. You may ask for it.

  In step S335, the processor 21 determines whether or not the elapsed time obtained in step S334 is equal to or greater than the threshold value specified by the setting parameter. When the elapsed time obtained in step S333 is less than the above-described threshold value (No determination in step S335 (NO)), the processor 21 detects a breakpoint focusing on the duration of the moving or stationary state. It is determined that it was not possible, and the process proceeds to step S336.

  In step S336, the processor 21 determines whether or not the movement distance obtained in step S334 is greater than or equal to the threshold value specified by the setting parameter. When the movement distance obtained in step S334 is less than the above-described threshold value (No determination in step S336 (NO)), the processor 21 determines that the break point focusing on the length of the movement distance could not be detected. The process proceeds to step S337.

  In step S337, the processor 21 determines whether or not the amount of change in the movement direction obtained in step S334 is greater than or equal to the threshold value specified by the setting parameter. When the amount of change in the movement direction obtained in step S334 is less than the above-described threshold value (No determination in step S337 (NO)), the processor 21 cannot detect a breakpoint focusing on the change in the movement direction. Determination is made, and the process proceeds to step S338.

  Here, the processes in steps S331 and S332 described above and the processes in steps S333 to S337 may be executed in an order different from the order in FIG. Further, the processes in steps S335 to S337 may be executed in any order as long as they are after the processes in steps S333 and S334.

  When it is determined that any breakpoint cannot be detected from any of the viewpoints noted in the processing of Step S332, Step S333, Step S335, Step S336, and Step S337 described above, the processor 21 executes the processing of Step S338.

  In step S338, the processor 21 outputs a search result indicating that no breakpoint is found, and proceeds to the process of step S317 shown in FIG.

  On the other hand, in the case of an affirmative determination of any of step S332, step S333, step S335, step S336, and step S337, the processor 21 determines that a breakpoint has been detected from each viewpoint, and executes the process of step S339. .

  In step S339, the processor 21 outputs, for example, information specifying the time detected as the breakpoint as information indicating the detected breakpoint, and proceeds to the process of step S317 shown in FIG.

  When the processor 21 executes the processes of steps S331 to S339 described above, it is possible to detect the breakpoints focusing on various viewpoints from the measurement data stored in the storage unit 121 provided in the memory 22 without omission. it can. It should be noted that the threshold value used in the processing of steps S335 to S337 described above can be changed even during operation of the measuring device 10 by the processing of the aggregation device 2 described later with reference to FIGS.

  Next, the operation of the aggregation device 2 shown in FIG. 14 will be described with reference to FIGS. The aggregation device 2 displays a measurement result, a process for obtaining a measurement result from measurement data collected from the measurement apparatus 10 operating in the remote measurement mode, a process for receiving a measurement result report from the measurement apparatus 10 operating in the autonomous measurement mode. In addition, the analysis process may be executed in parallel.

  FIG. 17 shows the operation of the aggregation device 2 shown in FIG. Each process of step S341 to step S347 shown in FIG. 17 is a process of receiving a measurement result report from the measurement apparatus 10 operating in the autonomous measurement mode among the processes included in the application program for collecting the measurement results. It is an example. In addition, each processing of step S341 to step S347 is executed by the processor 31 included in the server device 30.

  In step S <b> 341, the processor 31 receives information transmitted by any of the measurement apparatuses 10 via the network interface 34.

  In step S342, the processor 31 determines whether or not the information received in step S341 is a notification to start measurement. When the notification that the measurement is started is received (Yes in Step S342 (NO)), the processor 31 executes the process of Step S343.

  In step S343, the processor 31 registers the measuring device 10 that is the source of the information received in step S341 in the device information database 103 and the measurement result storage unit 104 provided in the hard disk device 33 or the like. For example, the processor 31 assigns a unique device number in the measurement system 100 to the measuring device 10 that is the transmission source, and performs registration in the device information database 103 and the measurement result storage unit 104 in accordance with the assigned device number. May be. In addition, the processor 31 sends a setting parameter including information specifying the assigned device number and one of the autonomous measurement mode and the remote measurement mode to the measurement device 10 that is a transmission source via the network interface 34. The processor 31 notifies the newly registered measurement device 10 of either the autonomous measurement mode or the remote measurement mode based on the number of measurement devices 10 registered in the device information database 103 and the measurement result accumulation unit 104. You may decide. For example, when the number of registered measuring devices 10 is smaller than a predetermined number, the newly registered measuring device 10 is instructed to perform measurement in the remote measurement mode, and the number of measuring devices 10 is larger than the predetermined number. In this case, it may be instructed to perform measurement in the autonomous measurement mode. The processor 31 preferably stores information indicating the setting parameter sent to the measuring device 10 in the device information database 103 in correspondence with the device number. After the end of the process of step S343, the processor 31 proceeds to the process of step S347.

  On the other hand, when the information received in step S341 is not a notification to start measurement (No determination in step S342 (NO)), the processor 31 executes the process of step S344.

  In step S344, the processor 31 determines whether or not the received information is a report of a measurement result from the registered measurement apparatus 10. When the received information does not include the measurement result from the registered measuring apparatus 10 (No determination in step S344 (NO)), the processor 31 proceeds to the process of step S345.

  In step S345, the processor 31 discards the information received in step S341 as an error process, and then proceeds to the process of step S347.

  On the other hand, when the measurement result from the registered measurement apparatus 10 is received (Yes in step S344 (YES)), the processor 31 executes the process of step S346.

  In step S346, the processor 31 accumulates the received measurement result in an area corresponding to the device number of the measurement result accumulation unit 104 provided in the hard disk device 33 or the like, and then proceeds to the process of step S347.

  In step S347, the processor 31 determines whether or not to end the measurement. For example, when an instruction indicating that the operation of the measurement system 100 is to be stopped is input by an administrator of the server device 30 shown in FIG. 14 or the like, the processor 31 determines that an end of measurement has been instructed ( Affirmative determination (YES) in step S347). In this case, the processor 31 ends the process of receiving the measurement result report.

  On the other hand, when an instruction indicating that the operation of the measurement system 100 is to be stopped is not input (No at Step S347 (NO)), the processor 31 returns to the process at Step S341 to register a new measurement device 10 or A report from the registered measuring apparatus 10 is awaited.

  FIG. 18 shows the operation of the aggregation device 2 shown in FIG. Each process of step S351 to step S359 shown in FIG. 18 is a process of collecting measurement data from the measurement apparatus 10 operating in the remote measurement mode among the processes included in the application program for collecting the measurement results. It is an example.

Each process of step S351 to step S359 shown in FIG. 18 is executed by the processor 31 included in the server device 30 at a predetermined time interval of, for example, about 10 minutes to 20 minutes. Note that the time interval at which the processor 31 executes the processes in steps S351 to S359 is longer than the above-described example depending on, for example, the size of the processing load on the server device 30 and the degree of congestion of the communication line. In step S351, the processor 31 refers to the device information database 103 provided in the hard disk device 33 or the like, and indicates that the remote measurement mode is instructed as part of the setting parameter. The measuring device 10 holding the information is specified.

  In step S352, the processor 31 selects one of the measuring devices 10 identified in the process of step S351 as a target device. For example, the processor 31 may select devices of interest in ascending order of assigned device numbers from the measurement devices 10 identified in the process of step S351.

  In step S353, the processor 31 sends a data transmission request to the target device selected in step S352 via the network interface 34, and collects measurement data returned as a response from the target device. The processor 31 may store the collected measurement data in the device information database 103 in association with the device number indicating the device of interest. In the process of step S353, for example, when the response including the measurement data is not returned from the target device even after a predetermined time has elapsed, the processor 31 disconnects the transmission path with the target device. The error processing may be performed.

  In step S354, the processor 31 searches for a breakpoint based on the measurement data stored in the device information database 103 in the same manner as in step S316 illustrated in FIG. The processor 31 may realize the process of step S354 by executing the processes of steps S331 to S339 shown in FIG.

  In step S355, the processor 31 determines whether or not a breakpoint is detected in the process of step S354. When the break point is not detected (No determination in step S355 (NO)), the processor 31 proceeds to the process of step S356. On the other hand, when a break point is detected (Yes in step S355 (YES)), the processor 31 executes the processes of steps S356 to S358.

  In step S356, the processor 31 calculates a dose rate for the section corresponding to the detected separation point, in the same manner as in step S318 shown in FIG.

  In step S357, the processor 31 stores the measurement result including the dose rate calculated in step S356 in the measurement result storage unit 104 provided in the hard disk device 33 or the like in association with the device number indicating the device of interest. As described with reference to FIG. 10, the processor 31 associates the information indicating the section in which the dose rate is calculated together with the calculated dose rate as the measurement result by the device of interest with the device number indicating the device of interest described above. The result may be stored in the result storage unit 104.

  In step S358, the processor 31 determines whether or not the search for the break point from all the measurement data stored in the device information database 103 corresponding to the device of interest has been completed. If unsearched measurement data remains (No determination in step S358 (NO)), the processor 31 returns to the process of step S354 and corresponds to a time after the time corresponding to the most recently detected breakpoint. The search process for the measurement data accumulated in this way is resumed.

  On the other hand, when the processing for all the measurement data accumulated corresponding to the target device is completed (Yes in step S358), the processor 31 proceeds to the processing in step S359.

  In step S359, the processor 31 determines whether all the measuring devices 10 identified in the process of step S351 have been selected as the device of interest. When there is an unselected measuring device 10 (No determination in step S359 (NO)), the processor 31 returns to the process of step S352, selects one of the unselected measuring devices 10 as a target device, and selects it. The processing after step S353 is executed for the device of interest.

  On the other hand, when all the measuring devices 10 identified in the process of step S351 have already been selected as the device of interest (Yes determination in step S359 (YES)), the processor 31 determines that the remote measuring mode is set. The process of collecting measurement data from 10 ends.

  The processor 31 executes the process of each step shown in FIG. 18 at predetermined time in parallel with the process of each step shown in FIG. It is possible to realize a measurement system in which the measurement device 10 operating in the above is mixed.

  FIG. 19 shows the operation of the aggregation device 2 shown in FIG. Each process of step S361 to step S371 illustrated in FIG. 19 is an example of a process for displaying and analyzing a measurement result among processes included in an application program for a process of collecting measurement results. Each process of step S361 to step S371 illustrated in FIG. 19 may be executed by the processor 31 included in the server device 30, for example, at a predetermined time interval set in advance.

  In step S <b> 361, for example, the processor 31 selects the measurement device 10 in the order of the device number, and extracts the measurement result newly accumulated in the measurement result accumulation unit 104 corresponding to the selected measurement device 10. For example, the processor 31 may extract the measurement result added to the measurement result accumulation unit 104 described above as a new measurement result after previously executing processing for displaying and analyzing the measurement result.

  In step S362, the processor 31 makes a trajectory on the map indicating the movement path traveled by the measurement apparatus 10 when the measurement result is acquired based on the position information included in each of the measurement results extracted in the process of step S361. Is identified. In the course of the process of step S362, the processor 31 obtains a trajectory on the map corresponding to the measurement result from the map information server MAP shown in FIG. 14 via the network interface 34 based on the position information included in the measurement result. You may acquire the map data of the range to include. Further, the processor 31 collates position information included in the measurement result with position information such as a road included in the map data, thereby finding a road corresponding to the movement route of the measurement apparatus 10 and the road that has been found. May be specified as a locus on the map.

  For example, when a road that includes both the start point and the end point of the movement route indicated by the position information included in the measurement result is found, the processor 31 acquires the road that has been found, and the measurement device 10 acquires the measurement result of the processing target. It is specified as a trajectory on the map indicating the movement route moved in the process. Further, based on the position information included in the measurement result acquired in a stationary state, the processor 31 specifies a facility such as a service area on the map, and measures the specified facility when the measurement result is acquired. The location of the device 10 may be specified.

  Based on the trajectory on the map specified in the process in step S362 described above, the processor 31 executes the process in step S363 and the processes in steps S364 to S371. Note that the processor 31 may execute the processing in step S363 described above and the processing in steps S364 to S371 in the order opposite to the order shown in FIG.

  In step S363, the processor 31 generates display information for displaying the dose rate included in each of the measurement results extracted in the process of step S361 in association with the locus on the map, and uses the generated display information. To present the measurement result to the user. For example, the processor 31 changes the attribute information used when displaying the line segment representing the locus on the map specified corresponding to the measurement result in the acquired map data based on the dose rate, thereby changing the dose. Display information for displaying the rate on the map may be generated. For example, as shown in FIG. 5, the processor 31 changes the thickness and display color of the line segment representing the road identified in the process of step S362 described above in the map data, thereby obtaining the dose obtained by the measurement. Display information for displaying the rate on the map may be generated. Further, for the measurement result including the dose rate obtained in a stationary state, the processor 31 adds display information representing a circle or the like indicating the dose rate to a point on the map identified from the position information, Display information for displaying the dose rate on a map may be generated.

  Further, the processor 31 sends the display information generated to the web server WBS shown in FIG. 14 using the function of the network interface 34, and the web server WBS discloses the display information indicating the measurement result on the network. Thus, the measurement result may be made known.

  When the processor 31 executes the processes in steps S362 and S363 described above, the measurement results obtained by the measurement devices 10 shown in FIG. 14 are associated with roads on the map, and distributed to various regions. The measurement results obtained in this way can be displayed together. That is, the processor 31 shown in FIG. 14 collects the measurement results as shown in FIGS. 17 and 18, and executes the processing of the above-described steps S362 and S363, so that FIGS. It is possible to realize the function of the aggregation device 2 shown in FIG.

  Moreover, the measurement result newly obtained based on the measurement result acquired in the past by any of the measurement devices 10 included in the measurement system 100 illustrated in FIG. 14 or the measurement result of the fixed point obtained by the monitoring system MON. Can also be analyzed.

  The process of step S364 to step S371 illustrated in FIG. 19 is an example of a process of analyzing the new measurement result extracted in the process of step S361.

  In step S364, based on the map data, the processor 31 determines whether or not there is a monitoring post installed in the vicinity of the locus on the map associated with each measurement result in the process of step S362. For example, the processor 31 determines whether at least a part of the locus on the map specified corresponding to the measurement result is included in a circle with a predetermined radius centered on any of the monitoring posts. You may perform determination of above-mentioned step S364. Note that the position information corresponding to each of the monitoring posts may be acquired in advance from the monitoring system MON shown in FIG.

  When a part of the locus on the map specified in the process of step S362 is included in the above-described range (Yes determination in step S364 (YES)), the processor 31 executes the process of step S365.

  In step S <b> 365, the processor 31 applies the measurement result obtained by the measurement apparatus 10 to be processed from the difference between the dose rate obtained at the monitoring post that is assumed to be nearby and the dose rate included in the measurement result of the process target. The correction value is obtained and reflected in the setting parameter. For example, the processor 31 can acquire information indicating the dose rate obtained by the monitoring post determined to be in the vicinity in step S364 by making an inquiry to the monitoring system MON. Here, the dose rate obtained at the monitoring post is higher in accuracy than the dose rate obtained with a commercially available dosimeter or the like. Therefore, by obtaining the correction value based on the dose rate obtained at the monitoring post, the measurement result obtained by the measurement device 10 disclosed herein can be brought close to the accuracy of the measurement result obtained by the monitoring post. In addition, when calculating the difference between the dose rate obtained at the monitoring post and the dose rate included in the measurement result, the processor 21 sets the unit of the dose rate included in the measurement result to the dose rate obtained at the monitoring post, for example. It is desirable to perform conversion processing according to the unit. The processor 31 may store the obtained correction value in the device information database 103 as a part of the setting parameter corresponding to the measurement device 10 to be processed. After the process of step S365 ends, the processor 31 proceeds to the process of step S366.

  On the other hand, if the trajectory on the map specified in the process of step S362 is not included in the above-described range (No determination in step S364 (NO)), the processor 31 does not perform the process of step S365. The process proceeds to step S366.

  In step S366, the processor 31 near the locus on the map specified for any of the measurement results to be processed among the measurement results obtained in the stationary state included in the measurement results accumulated so far. It is determined whether there is an obtained measurement result. The processor 31 may use display information indicating all the measurement results obtained so far in association with positions on the map in the process of step S366. For example, based on the display information described above, the processor 31 obtains attribute information indicating that it has been obtained by measurement in a stationary state within a predetermined range from the locus on the map associated with the measurement result to be processed. The determination process in step S366 may be performed based on whether or not there is a figure to be held.

  When a measurement result previously obtained in a stationary state is found in the vicinity of the trajectory on the map from which the measurement result to be processed is acquired (Yes determination in step S366 (YES)), the processor 31 performs steps S367 and The process of step S368 is executed.

  In step S367, the processor 31 compares the dose rate included in the measurement result found in the process of executing the process of step S366 described above with the dose rate included in the measurement result to be processed, and the difference is a predetermined threshold value. It is determined whether it is above.

  When the difference between the two dose rates compared in the process of step S367 is greater than or equal to the threshold value (YES determination in step S367), the processor 31 executes the process of step S368.

  Here, when the difference between the measurement result in the moving state and the measurement result in the stationary state is, for example, a threshold set to about twice the average environmental radiation dose, the measurement in the moving state is performed. There may be a location where the dose rate fluctuates locally in the vicinity of the range moved in the above process. On the other hand, even when measurement is carried out in the vicinity of a location where the dose rate fluctuates locally, for example, if the movement range in each section is reduced by frequently providing breakpoints, There is a possibility of obtaining measurement results that reflect changes in the dose rate.

  In step S368, the processor 31 sets the threshold values used for the process of detecting the break points shown in steps S335 to S337 in FIG. 16 among the setting parameters corresponding to the measurement apparatus 10 to be processed. Also change to a smaller value. For example, if the threshold value used in the process of detecting the break point focusing on the movement distance or the break point focusing on the duration of the movement state is changed to a value about half that of the previous point, the distance corresponding to about half of the distance up to that point can be handled. Measurement results can be acquired for each section. Note that the processor 31 changes the threshold value included in the setting parameter held in correspondence with the measurement device 10 to be processed in the device information database 103 provided in the hard disk device 33 or the like, thereby performing the process of step S368. You may go.

  After the process of step S368 is completed, in the case of a negative determination (NO) in step S367, and in the case of a negative determination (NO) in step S366, the processor 31 proceeds to the process of step S369.

  In step S369, the processor 31 determines whether or not the setting parameter held in the device information database 103 corresponding to the processing target measurement device 10 has been updated in the course of executing the processing of steps S364 to S368 described above. judge.

  The processor 31 determines that the setting parameter has been updated when the correction value is added to the setting parameter in the process of step S365 and when the threshold value used in the process of detecting the break point is changed in the process of step S368. Affirmative determination (YES) in step S369). In this case, the processor 31 executes the process of step S370.

  In step S370, the processor 31 sends the updated setting parameter to the network NW with the measuring device 10 associated with the updated setting parameter as a destination, and notifies the measuring device 10.

  After the process of step S370 is completed and in the case of a negative determination (NO) in step S369, the processor 31 proceeds to the process of step S371.

  In step S <b> 371, the processor 31 determines whether or not the processes of steps S <b> 361 to S <b> 370 described above have been executed for all the measuring devices 10.

  When there is an unprocessed measurement device 10 (No determination in step S371 (NO)), the processor 31 returns to the process of step S361 and newly obtains the measurement device 100 selected from the unprocessed measurement devices 10. The process for the designated measuring device is executed.

  After that, when the processes for all the measurement devices 10 are completed (Yes in step S371 (YES)), the processor 31 ends the process for displaying the measurement results on the map and the process for analyzing the measurement results. To do.

  Setting of the measurement apparatus 10 using the dose rate obtained by the monitoring post or the dose rate obtained in the past by the measurement system 100 of the present disclosure by the processor 31 executing the processes of steps S364 to S370 described above. Parameters can be adjusted.

  As described with reference to FIGS. 14 to 19, the measurement system 100 according to the present disclosure can be realized by connecting a plurality of portable terminals 20 and the server device 30 via the network NW. Since mobile terminals such as smartphones and tablet-type personal computers have become widespread in recent years, the realization of the measuring device 10 disclosed herein using mobile terminals allows a large number of users to move in the course of their movements. Automatic measurement of the dose rate can be made possible. This makes it possible to measure the dose rate in various travel routes distributed over a wide area compared to the case where individuals and volunteer organizations use a portable dosimeter to measure at each observation point. It is possible to easily accumulate a huge amount of measurement results.

  From the above detailed description, features and advantages of the embodiment will become apparent. It is intended that the scope of the claims extend to the features and advantages of the embodiments as described above without departing from the spirit and scope of the right. Any person having ordinary knowledge in the technical field should be able to easily come up with any improvements and changes. Therefore, there is no intention to limit the scope of the inventive embodiments to those described above, and appropriate modifications and equivalents included in the scope disclosed in the embodiments can be used.

DESCRIPTION OF SYMBOLS 1 ... Mobile body; 2 ... Aggregation apparatus; 10 ... Measuring apparatus; 11 ... Sensor; 12 ... Accumulation part; 13 ... Calculation part; 14, 101 ... Communication processing part; Information database; 104 ... Measurement result storage unit; 105 ... Display processing unit; 106 ... Map information database; 111 ... Radiation sensor; 121 ... Storage unit; 131 ... Inclination analysis unit; 132 ... Dose rate calculation unit; 20 ... mobile terminal; 21, 31 ... processor; 22, 32 ... memory; 23, 34 ... network interface (I / F: InterFace); 24 ... general-purpose interface (I / F); 25 ... GPS (Global Positioning System) Signal processing unit; 26 ... acceleration sensor; 30 ... server device; 33 ... hard disk device; 35 ... optical drive device; 36 ... removable disk; Unit; NV ... car navigation system; DSP ... display device; MAP ... map information server; MON ... monitoring system; WBS ... web server; NW ... network

Claims (6)

In a measuring device that measures the physical quantity that changes in size with the strength of the flow of particles or energy passing through space,
Move with the moving body, a sensor for measuring the physical quantity as a feature quantity in the space within a predetermined range from said moving body,
An accumulator that accumulates the measurement values obtained by the sensor while the moving body moves from the first point to the second point;
By dividing the integration result obtained by the integration unit by the time taken to move between the first point and the second point, the first point and the second point A calculation unit for obtaining the feature amount per unit time in the movement route between,
The calculation unit includes:
The delimiting the movement path each time there is a change larger than a predetermined value on the change rate with respect to time of the integration unit in the resulting integration result, each delimited section, Ru obtains the feature amount per unit time
Measuring device comprising a call. In a measuring device that measures the physical quantity that changes in size with the strength of the flow of particles or energy passing through space ,
A sensor that moves with the moving body and measures the physical quantity in a space within a predetermined range from the moving body as a feature amount;
An accumulator that accumulates the measurement values obtained by the sensor while the moving body moves from the first point to the second point;
By dividing the integration result obtained by the integration unit by the time taken to move between the first point and the second point, the first point and the second point A calculation unit for obtaining the feature amount per unit time in the movement route between,
The calculation unit includes:
The measuring apparatus characterized in that the moving path is divided every time there is a predetermined change in the speed of the moving body, and the feature amount per unit time is obtained for each divided section. In the measuring device according to claim 1 or 2,
When outputting the movement line of the movement route, a display format of the movement line of the movement route is changed and outputted for each of the divided sections. A measurement system that measures a physical quantity whose size changes with the intensity of a particle or energy flow passing through a space, and moves with a moving body, and the physical quantity in a space within a predetermined range from the moving body is a feature quantity As a sensor to measure, while the moving body moves from the first point to the second point, the integration unit that integrates the measurement value obtained by the sensor, and the integration result obtained by the integration unit, By dividing by the time taken to move between the first point and the second point, the per unit time in the movement route between the first point and the second point A calculation unit for obtaining a feature amount,
The calculation unit includes:
At least one measurement for dividing the movement path every time there is a change of a predetermined value or more in the rate of change of the integration result obtained by the integration unit with respect to time, and obtaining the feature quantity per unit time for each divided section. Equipment,
Wherein at least one of the feature amount per unit time obtained by the measuring device and receives the information indicating the movement route, and the feature amount per unit time obtained in said movement path and the at least one measuring device A measurement system comprising: an aggregation device that aggregates information indicating correspondence relationships. A measurement method for measuring a physical quantity whose size changes with the intensity of a particle or energy flow passing through a space , wherein the moving object moves from a first point to a second point while the moving object moves from the first point to the second point. integrating the measured values obtained by the sensor for measuring a characteristic quantity of said physical quantity in the space within a predetermined range,
By dividing the obtained integration result by the time taken for the movement between the first point and the second point, the movement route between the first point and the second point When the feature amount per unit time is obtained, the movement path is divided every time there is a change of a predetermined value or more in the rate of change of the integration result with respect to time, and the unit per unit time is divided for each divided section. A measurement method characterized by obtaining a feature value. A measurement program for causing a computer to execute a process of measuring a physical quantity whose size changes with the intensity of a particle or energy flow passing through a space, while the moving body moves from a first point to a second point to, integrates the measurements obtained by the sensor for measuring a characteristic quantity of said physical quantity in a space within a predetermined range from said moving body,
By dividing the obtained integration result by the time taken for the movement between the first point and the second point, the movement route between the first point and the second point When the feature amount per unit time is obtained, the movement path is divided every time there is a change of a predetermined value or more in the rate of change of the integration result with respect to time, and the unit per unit time is divided for each divided section. A measurement program characterized by causing a computer to execute a process for obtaining a feature value.

Images