JP6767194B2 - Information collection support device, information collection support method and computer program - Google Patents

Description

Embodiments of the present invention relate to an information collection support device, an information collection support method, and a computer program.

In recent years, the national and local governments have installed sensors such as weather radars, rain gauges, and water level gauges in their respective jurisdictions in order to quantitatively grasp the effects of abnormal weather. The rainfall data acquired by the weather radar is often provided as image data in which a map divided into meshes (for example, 250 m square) is color-coded according to the rainfall for each mesh. As a technique related to the rainfall data acquired in this way, a technique for acquiring numerical information indicating the rainfall of each mesh from the image data provided as the rainfall data has been proposed.

On the other hand, in recent years, the occurrence of abnormal weather has become localized, so it is necessary to grasp the amount of rainfall in a more detailed range. However, it is not possible to acquire rainfall in a range finer than the mesh size from the rainfall data acquired by the weather radar. In addition, the various sensors installed by the national and local governments are not always installed uniformly, and the current situation is that there is a difference in the particle size of rainfall that can be grasped. Then, in order to solve such a problem, it is necessary to additionally install a sensor.

However, the additional installation of the sensor causes an increase in the initial cost for introducing and installing the sensor as well as the running cost for operating and maintaining the sensor. Therefore, it is desired to establish a technique for arranging sensors more effectively. The term "effective" as used herein means improving indicators such as cost and accuracy required for sensor installation.

Japanese Patent No. 5578986

An object to be solved by the present invention is to provide an information collection support device, an information collection support method, and a computer program capable of further improving the index required for the installation of the sensor.

The information collection support device of the embodiment has an event information collection unit and an information collection support processing unit. The event information collection unit collects event information acquired by the plurality of sensors from a plurality of sensors installed in a target area for which information is to be collected. The information collection support processing unit performs information collection support processing related to optimization of index values related to the purpose of collecting the event information based on the event information collected from the plurality of sensors.

The figure which shows the outline of the operation of the information collection using the information collection support device 1 of 1st Embodiment. The figure which shows the specific example of the arrangement of the new sensor in 1st Embodiment. The figure which shows the specific example of the arrangement of the new sensor in 1st Embodiment. The figure which shows the specific example of the structure of the information gathering system 100 of 1st Embodiment. The block diagram which shows the specific example of the functional structure of the information gathering support device 1 of 1st Embodiment. The flowchart which shows the specific example of the thinning-out process in 1st Embodiment. The flowchart which shows the specific example of the prediction accuracy improvement processing in 1st Embodiment. The flowchart which shows the specific example of the arrangement determination processing in 1st Embodiment. The figure which shows the example which the installation of the new sensor is realized by the moving body provided with the sensor in the modification of the 1st Embodiment. The flowchart which shows the flow of the thinning-out process using the moving body sensor in the modification of 1st Embodiment. The figure which shows the example in which the prediction accuracy improvement process and the arrangement determination process are performed by using the event information acquired by the moving body sensor in the modified example of 1st Embodiment. The flowchart which shows the flow of the prediction accuracy improvement processing using the moving body sensor in the modification of 1st Embodiment. The flowchart which shows the flow of the arrangement determination process using the moving body sensor in the modification of 1st Embodiment. It is a figure which shows the specific example of the structure of the information gathering system 100a of 3rd Embodiment. The flowchart which shows the specific example of the arrangement determination processing in 2nd Embodiment.

Hereinafter, the information collection support device, the information collection support method, and the computer program of the embodiment will be described with reference to the drawings.

(First Embodiment)
[Summary]
FIG. 1 is a diagram showing an outline of an operation of information collection using the information collection support device 1 of the first embodiment. Further, FIGS. 2 and 3 are diagrams showing specific examples of arrangement of new sensors. First, the information collection support device 1 executes the arrangement determination process to determine a more efficient installation position of the new sensor (step S401). For example, when the existing sensor is arranged as shown in FIG. 2, the point 200 is selected as an efficient arrangement position of the new sensor. The user places the new sensor at the selected installation position (step S402). The information collection support device 1 collects event information from existing sensors and new sensors (step S403). The information collection support device 1 modifies the estimation model so that a more accurate estimation result can be obtained by performing prediction accuracy improvement processing based on the collected event information (step S404).

By performing the information collection operation in such a cycle, the user can improve the accuracy of the estimation model while adding a new sensor at a more appropriate installation position. Specifically, as shown in FIG. 3, it is possible to arrange fewer new sensors more efficiently, and it is possible to improve the accuracy of the estimation model according to the installation of new sensors. Become.

[Details]
FIG. 4 is a diagram showing a specific example of the configuration of the information collection system 100 of the first embodiment. The information collection system 100 includes an information collection support device 1, one or more sensors 2, and one or more information collection devices 3. The user terminal 4 is a terminal used by a user who uses the information collection system 100. The information collection support device 1 can communicate with the information collection device 3 and the user terminal 4 via the network 5. Further, each sensor 2 can communicate with the information collecting device 3.

The information collection support device 1 obtains information (hereinafter referred to as “event information”) regarding a predetermined event from the sensor 2 installed in the acquisition target area (hereinafter referred to as “target area”) via the information collection device 3. get. The information collection support device 1 performs processing for improving the efficiency of information collection using the sensor 2 (hereinafter referred to as "information collection support processing") based on the acquired event information, and the processing result is obtained by the user terminal 4. Send to.

One or more sensors 2 are installed in the target area, and event information is transmitted to the information collecting device 3. For example, the sensor 2 may be a measuring instrument that measures a specific event such as rainfall, water level, pressure, flow rate, and temperature, and transmits the measurement information as event information. Further, the sensor 2 may be a device that transmits information held in advance by itself or generated information as event information, instead of a device that measures and transmits a predetermined event like the above-mentioned various measuring instruments. Further, the sensor 2 may be a device that transmits information indicating its existence or state as event information. As described above, the sensor 2 may be any device as long as it has a communication function and can transmit information, and any information may be transmitted as event information. Further, the sensor 2 may transmit information that can be acquired from another device by communication as event information.

For example, the sensor 2 includes a camera, a microphone, an object detection sensor (photomicro sensor, area sensor, photoelectric sensor, proximity sensor, fiber sensor, laser sensor, etc.), temperature sensor, inertial sensor, acceleration sensor, vibration sensor, rainfall sensor, etc. It may be a water content sensor, a light / dark sensor, a position sensor such as GPS (Global positioning System), a gas component sensor, a liquid component sensor, a solid component sensor, or the like. Further, the plurality of sensors 2 may be realized by one sensor capable of sensing events at a plurality of points. For example, an artificial satellite can be mentioned as a sensor capable of sensing events at a plurality of points. Artificial satellites can acquire image data such as radar images and visible light images at a plurality of points on the earth. Therefore, a plurality of sensors 2 may be realized by one artificial satellite.

The information collecting device 3 collects event information from one or more sensors 2 and transmits the collected event information to the information collecting support device 1. The information collection device 3 may transmit the collected event information as it is to the information collection support device 1, or may transmit event information that has undergone some preprocessing. If the sensor 2 can directly communicate with the information collection support device 1, the information collection system 100 does not necessarily have to include the information collection device 3.

The user terminal 4 transmits / receives information regarding information collection support processing to / from the information collection support device 1. For example, the user terminal 4 transmits setting information necessary for the information collection support process and receives the processing result of the information collection support process.

Note that FIG. 4 shows a system configuration when event information is collected in real time via a network, but event information does not necessarily have to be collected in real time. For example, it may be collected by collecting a storage medium in which event information is stored. In this case, the event information may include information indicating the acquired position and time.

FIG. 5 is a block diagram showing a specific example of the functional configuration of the information collection support device 1 of the first embodiment. The information collection support device 1 includes a CPU (Central Processing Unit), a memory, an auxiliary storage device, and the like connected by a bus, and executes an information collection support device program. The information collection support device 1 includes a communication unit 11, a storage unit 12, an event information collection unit 13, a prediction processing unit 14, an information collection support processing unit 15, a prediction information provision unit 16, and support information provision by executing an information collection support device program. It functions as a device including a unit 17 and an external information acquisition unit 18. Even if all or part of each function of the information collection support device 1 is realized by using hardware such as ASIC (Application Specific Integrated Circuit), PLD (Programmable Logic Device), and FPGA (Field Programmable Gate Array). Good. The information gathering support device program may be recorded on a computer-readable recording medium. The computer-readable recording medium is, for example, a flexible disk, a magneto-optical disk, a portable medium such as a ROM or a CD-ROM, or a storage device such as a hard disk built in a computer system. The information gathering support device program may be transmitted via a telecommunication line.

The communication unit 11 includes a communication interface for connecting the own device to the network 5.

The storage unit 12 is configured by using a storage device such as a magnetic hard disk device or a semiconductor storage device. The storage unit 12 stores the event information collected from each sensor 2.

The event information collecting unit 13 collects event information from each sensor 2. The event information collecting unit 13 stores the collected event information in the storage unit 12.

The prediction processing unit 14 is based on the event information acquired from the sensor 2 (hereinafter referred to as “existing sensor”) already installed in the target area, and the new sensor 2 (hereinafter referred to as “existing sensor”) is located at a certain point where the existing sensor does not exist. When a "new sensor") is installed, a prediction process is performed to estimate event information (hereinafter referred to as "prediction information") that is predicted to be acquired by the new sensor. Specifically, the prediction process requires an estimation model that inputs the event information of the existing sensor and outputs the prediction information, and the estimation method may be any method. For example, when the event information includes the measurement date and time, the position information, and the measurement value of a predetermined event, the prediction information may be estimated by the statistics of the measurement value acquired by the existing sensor around the new sensor. For example, the prediction information may be estimated as an average value or as another statistical value such as a median value, a maximum value, or a minimum value. The prediction processing unit 14 outputs the estimated prediction information to the information collection support processing unit 15. The prediction processing unit 14 may have a function of accepting input of a point to be predicted, acquiring prediction information of the input point, and responding to the user.

The information collection support processing unit 15 performs information collection support processing based on the event information acquired by the existing sensor and the event information acquired by actually installing the new sensor. Specifically, the information collection support processing includes a thinning process for determining a new sensor that does not contribute to maintaining or improving the accuracy of the prediction processing among the newly installed new sensors, and a more efficient placement position of the new sensor. It includes three processes, an arrangement determination process for determining the above, and a prediction accuracy improvement process for improving the accuracy of the prediction process.

The prediction information providing unit 16 transmits the prediction information estimated by the prediction processing unit 14 to the user terminal 4 as needed.

The support information providing unit 17 transmits information indicating the result of the information collection support processing performed by the information collection support processing unit 15 (hereinafter, referred to as “support information”) to the user terminal 4 as necessary.

When the prediction processing unit 14 and the information collection support processing unit 15 require information other than event information for the prediction processing and the information collection support processing, the prediction processing unit 14 and the information collection support processing unit 15 may acquire such information as external information and use it for each processing. .. In this case, the external information is acquired via the external information acquisition unit 18. The external information acquisition unit 18 acquires external information from another device via the communication unit 11 and stores it in the storage unit 12. For example, the external information may be weather information or the like.

FIG. 6 is a flowchart showing a specific example of the thinning process. In the flowchart of FIG. 6, the processes performed by the information collection support device 1 are steps S102 to S106. Although steps S101 and S107 are actions performed by the user, they are intentionally included in the flowchart for the sake of clarity.

First, the user installs a new sensor at a position where the distribution of the existing sensor is sparse (step S101). The additional position may be arbitrarily determined by the user. The event information collecting unit 13 collects event information from the existing sensor and the new sensor (step S102). The prediction processing unit 14 performs prediction processing based on the event information acquired from the existing sensor (step S103). Hereinafter, the event information will be described on the assumption that it is a measured value. Further, in the following, the measured value acquired as event information is referred to as an actually measured value, and the measured value estimated by the prediction process is referred to as a predicted value.

Subsequently, the information collection support processing unit 15 determines a new sensor to be thinned out based on the actually measured value and the predicted value. Specifically, the information collection support processing unit 15 extracts a new sensor having a large difference between the predicted value and the measured value and a new sensor having a small difference between the predicted value and the measured value as sensors that are not subject to thinning out. (Step S104). For example, when the difference between the predicted value and the measured value is Z, the information collection support processing unit 15 extracts a new sensor in which Z satisfies the following equation (1) or equation (2) as a sensor not to be thinned out. To do.

R ₁ in the equation (1) is a predetermined threshold value for determining that the difference Z between the predicted value and the measured value is large. Similarly, R ₂ in the equation (2) is a predetermined threshold value for determining that the difference Z between the predicted value and the measured value is small. Hereinafter, the new sensor group satisfying the equation (1) will be referred to as a new sensor A, and the new sensor group satisfying the equation (2) will be referred to as a new sensor B.

The information collection support processing unit 15 determines, among the newly installed new sensors, the sensors other than the sensors not to be thinned out (new sensor A and new sensor B) as the sensors to be thinned out (step S105). The information collection support processing unit 15 transmits the thinning target information indicating the new sensor determined as the thinning target to the user terminal 4 (step S106).

The user thins out a new sensor to be thinned out based on the thinning target information received by the user terminal 4 (step S107). The thinning out here means that the new sensor to be thinned out is not used for collecting event information, and simply means the collection of the sensor.

FIG. 7 is a flowchart showing a specific example of the prediction accuracy improvement process. First, the event information collecting unit 13 collects event information from the existing sensor and the temporary sensor (step S201). The existing sensor referred to here means an existing sensor before the thinning process is performed after the thinning process described with reference to FIG. 6 and a new sensor that is not subject to the thinning process. Further, the temporary sensor referred to here means a sensor other than the existing sensor existing in the target area. For example, the temporary sensor may be a sensor possessed by a maintenance person who performs work such as inspection and maintenance regularly or irregularly in the target area. The information collection support device 1 of the embodiment improves the accuracy of the estimation model by using the event information temporarily acquired in this way for the prediction accuracy improvement process.

Specifically, the prediction processing unit 14 estimates the predicted value of the measured value of the temporary sensor based on the measured value of the existing sensor (step S202). The information collection support processing unit 15 updates the estimation model based on the measured value and the predicted value of the temporary sensor (step S203). Specifically, the information collection support processing unit 15 solves an optimization problem for the purpose of minimizing the error between the measured value and the predicted value for various parameters constituting the estimation model, thereby performing the estimation model. Update the parameter of to a more appropriate value. For example, the parameters of the estimation model include the degree of contribution and proportion of each existing sensor to the predicted value. Further, when these parameters take different values depending on the time and position to be estimated, the coefficients and constants of the function for determining each parameter based on the time and position may be updated.

FIG. 8 is a flowchart showing a specific example of the arrangement determination process. First, the information collection support processing unit 15 randomly selects a plurality of points from a predetermined area U in the target area (step S301). The predetermined area U may be the entire target area or a part of the target area designated in advance by the user. Hereinafter, the point group selected here will be referred to as S. On the other hand, the information collection support processing unit 15 generates a plurality of combinations of positions that are candidates for installing a new sensor from within the target area (step S302). Hereinafter, each combination generated here will be referred to as an installation pattern, and a set of a plurality of installation patterns will be referred to as G. In the following, the set of existing sensors will be referred to as H.

The information collection support processing unit 15 calculates the installation accuracy for each installation pattern for each point of the selected point group S (step S303). This installation accuracy is an index value indicating the validity of each installation pattern in the installation of a new sensor. The installation accuracy may be calculated by any method. For example, the installation accuracy may be expressed by a function using the distance between each point of the point group S and the installation position of the new sensor as a parameter.

Specifically, the information collection support processing unit 15 has an installation accuracy P ₁ (H) of the new sensor for the existing sensor H and an installation accuracy P ₂ (H) for the new sensor installed in the existing sensor H and each installation pattern G. , G) and. The information collection support processing unit 15 calculates the average of the installation accuracy calculated for each point of the point group S as the installation accuracy for the area U. In this case, Q ₁ the installation accuracy of the area U to existing sensor _H, when the installation accuracy of the area U for new sensors and Q ₂ to which are installed in the existing sensor H and the installation pattern G, Q ₁ and Q ₂ are the following It is represented by the formula (3) and the formula (4).

Information collection support processing unit 15 determines the installation pattern of the new sensor based on the installation precision _{Q 1} or _{Q 2} is calculated by the equation (3) and (4) (step S304). For example, the information collecting support processor 15, of the installation pattern G satisfying the number of new sensors to be installed, to select the installation pattern that maximizes the installation accuracy Q _2. Further, the information collecting support processor 15, of the installation pattern G satisfying installation accuracy Q ₂ above the target value, may be selected installation pattern to minimize the number of new sensors to be installed.

The information collection support device 1 of the first embodiment configured in this way is more efficient than the thinning process for determining a new sensor that does not contribute to maintaining or improving the accuracy of the prediction process among the newly installed new sensors. It is provided with an information collection support processing unit 15 that executes a placement determination process for determining a good new sensor placement position and a prediction accuracy improvement process for improving the accuracy of the prediction process. By providing the information collection support device 1 with the information collection support processing unit 15, more effective sensor arrangement can be realized.

(Second Embodiment)
In the second embodiment, an embodiment in which the information collection support device 1 performs information collection support processing based on event information acquired from a moving body provided with a sensor (hereinafter referred to as “moving body sensor”) will be described. .. Since the configuration of the information collection support device 1 of the second embodiment is the same as the configuration of the first embodiment shown in FIGS. 4 and 5, the description thereof is omitted here.

FIG. 9 is a diagram showing an example in which the installation of a new sensor is realized by the mobile sensor. Further, FIG. 10 is a flowchart showing the flow of the thinning process using the mobile sensor. Each process shown in FIG. 10 differs from the thinning process shown in FIG. 6 in that the measured value of the new sensor is acquired by the mobile sensor. In this case, the installation of the new sensor corresponding to step S101 in FIG. 6 is realized by the movement instruction (step S501) to the position where the distribution of the existing sensor with respect to the moving body sensor is sparse. Further, the thinning out of the new sensor corresponding to step S107 in FIG. 6 is realized by the evacuation instruction (step S507) from the installation position to the moving body. The processing of steps S502 to S506 is the same as that of steps S102 to S106 of FIG.

FIG. 11 is a diagram showing an example in which the prediction accuracy improvement process and the arrangement determination process are performed using the event information acquired by the mobile sensor. Further, FIG. 12 is a flowchart showing the flow of the prediction accuracy improving process using the mobile sensor. Each process shown in FIG. 12 differs from the prediction accuracy improvement process shown in FIG. 7 in that the measured value of the temporary sensor is acquired by the mobile sensor. In this case, the acquisition of the event information by the temporary sensor corresponding to step S201 in FIG. 7 is replaced by the acquisition of the event information by the mobile sensor (step S601).

FIG. 13 is a flowchart showing the flow of the arrangement determination process using the mobile sensor. Similar to the arrangement determination process in FIG. 8, the arrangement determination process using the mobile sensor determines the arrangement position of the new sensor based on the installation accuracy of each candidate point for the existing sensor and the new mobile sensor. However, here, an example of a determination method different from that of FIG. 8 will be described. The determination method described below may be used for the arrangement determination process when the mobile sensor of FIG. 8 is not used.

First, the user issues a movement instruction to the moving body sensor to a point where the distribution of the existing sensor is sparse (hereinafter referred to as "point A"). The event information collecting unit 13 acquires event information from the existing sensor and the moving body sensor that has moved to the point A (step S701). The event information may be acquired by moving the mobile sensor in this way, or may be acquired from the mobile sensor that happens to pass the point A. The prediction processing unit 14 performs prediction processing based on the actual measurement values of the existing sensor, and calculates the predicted value of the measured value measured by the mobile sensor at the point A (step S702). Subsequently, the information collection support processing unit 15 determines whether or not the error between the measured value and the predicted value of the moving body sensor at the point A is equal to or less than a predetermined threshold value (step S703). For example, this determination formula is expressed by the following formula (5).

In the equation (5), Z'represents the error between the measured value and the predicted value of the moving body sensor at the point A, and R ₃ represents a predetermined threshold value for the error Z'. If the error Z 'is less than the threshold value R ₃ (Step S703-YES), the information collection support processing unit 15 terminates the process determines that there is no need to add a new sensor. On the other hand, the error Z 'is greater than the threshold value _{R 3} (Step S703-NO), the information collection support processor 15, a new candidate point in the vicinity of the point A (hereinafter referred to as "point B".) The multiple setting (step S704).

The information collection support processing unit 15 determines a point satisfying the equation (5) among the newly set points B as a new additional position of the mobile sensor (or fixed sensor) (step S705). If all the points B do not satisfy the equation (5), the information collection support processing unit 15 may repeatedly execute the setting and determination of new candidate points until the points satisfying the equation (5) are obtained. Good. In this case, if the difference between the error Z'at the point B and the threshold value R ₃ is smaller than the difference at the point A, a new candidate point may be set near the point B, or the difference at the point A may be. If the difference is smaller than the difference at the point B, a new candidate point may be set again in the vicinity of the point A. When point B, which is a candidate for installing a new sensor, is set, a process is provided to actually place the sensor at point B and confirm that the error at point B is smaller than the error at point A. May be done.

Further, when there are a plurality of points A or B satisfying the equation (5), the point where the number of moving body sensors to be added is the minimum and the point where the degree of improvement in the prediction accuracy of the estimation model is the maximum is the moving body. It may be selected as an additional position for the sensor (or fixed sensor).

As described above, the sensor installed in the target area may be realized by a moving body provided with the sensor.

As described above, since the event information is collected by using the moving body sensor, the information collection support device 1 of the second embodiment is equipped with a moving body (for example, a sensor) in the target area based on the event information collection status. It is possible to identify the area where the vehicle cannot enter. By identifying the traffic situation in such a target area, the information collection support device 1 can also estimate the situation related to the disaster. For example, the information gathering support device 1 may be impassable due to an area where the road may have collapsed due to an earthquake, an area where the road may be impassable due to a fire, or a landslide disaster. It is possible to estimate a certain area, an area where the road is flooded by a flood, and so on. By providing such information at the time of a disaster, the information collection system 100 of the second embodiment can reduce the damage to the local residents at the time of a disaster.

The mobile body used as the above-mentioned mobile body sensor may be a mobile body of any kind or purpose. For example, the mobile sensor may be realized by equipping a transport vehicle such as a truck as shown in FIGS. 9 or 11 with the sensor, or a person moving using such a transport vehicle possesses the sensor. It may be realized by doing. When collecting event information using such a moving body sensor, it is possible that the moving body is not necessarily intended only for acquiring event information. Therefore, depending on the time zone, an area where the sensor distribution is sparse may occur in the target area. In such a case, by executing the information collection support process targeting the above time zone, the event information can be collected in a state where the distribution of the sensors in the target area is always optimized.

(Third Embodiment)
A third embodiment is for installing a charging spot that provides a charging service for supplying electric power to personal mobility (hereinafter referred to as "PM") by using the information collection support device 1 of the first or second embodiment. This is an example when applied.

FIG. 14 is a diagram showing a specific example of the configuration of the information collection system 100a of the third embodiment. In the information collecting system 100a, the information collecting device 3 acquires event information from the charging spots 6 and PM7 in the target area. For example, the information collecting unit device 3 acquires information such as location information, the time when the charging service is provided, and the amount of electric power provided as event information (hereinafter referred to as “operation information”) of the charging spot 6. Further, for example, the information collecting device 3 relates to a moving body such as position information, battery level, mileage, acceleration / deceleration by accelerator or brake, inclination of vehicle body, vibration, temperature, weight, body temperature, heart rate, or the driver thereof. The information is acquired as PM7 event information (hereinafter referred to as "probe information"). Since the configuration of the information collection support device 1 of the third embodiment is the same as the configuration of the first embodiment shown in FIG. 5, description thereof will be omitted here.

Note that FIG. 14 shows a system configuration when event information is collected in real time via a network, but as in FIG. 4, event information does not necessarily have to be collected in real time. Further, if the charging spot 6 or PM7 can directly communicate with the information collection support device 1, the information collection system 100a does not necessarily have to include the information collection device 3.

FIG. 15 is a flowchart showing a specific example of the arrangement determination process according to the third embodiment. First, the information collection support processing unit 15 generates a plurality of combinations of candidate points for additional installation of charging spots from a predetermined area U in the target area (step S801). Hereinafter, each combination generated here will be referred to as an installation pattern, and a set of a plurality of installation patterns will be referred to as G'. Further, in the following, the existing charging spot group is described as H', and the PM group existing in the area U is described as M.

The event information collecting unit 13 collects event information from the existing charging spot group H'and the PM group M existing in the area U (step S802). For example, the event information collecting unit 13 acquires information such as location information, the time when the charging service is provided, and the amount of electric power provided as event information (hereinafter referred to as "operation information") of the existing charging spot group H'. Hereinafter, this operational information will be referred to as P (G'). Further, for example, the event information collecting unit 13 is a moving body such as position information, battery level, mileage, acceleration / deceleration by accelerator or brake, body tilt, vibration, temperature, weight, body temperature, heart rate, or a driver thereof. Information about the PM group M is acquired as event information (hereinafter referred to as "probe information"). Hereinafter, this probe information (mobile information) will be referred to as P (M).

The information collection support processing unit 15 calculates the installation accuracy for each installation pattern based on the acquired operation information and probe information (steps S803 and S804). Here, as an example of the installation accuracy, an example using the mileage of PM will be described. Hereinafter, the mileage (first mileage) obtained only by the existing charging spot H'is L ₁ , and the mileage (second running) obtained by the existing charging spot H'and the newly installed new charging spot. Possible distance) is described as L ₂ .

The information collection support processing unit 15 calculates the average of the mileage calculated for each PM as the mileage with respect to the area U (step S805). In this case, the mileage of the area U with respect to the existing charging spot H'is W ₁ , and the mileage of the area U with respect to the existing charging spot H'and the new charging spots installed in each installation pattern G'is W _2. Then, W ₁ and W ₂ are represented by the following equations (6) and (7).

In equations (6) and (7), L ₁ represents a function of M, H', P (M) and P (H'), and L ₂ is M, H', G, P (M), P. Represents a function of (H') and P (G').

The information collection support processing unit 15 determines a new charging spot installation pattern based on the mileage W ₁ or W ₂ calculated by the equations (6) and (7) (step S806). For example, the information collection support processing unit 15 selects an installation pattern that maximizes the mileage (installation accuracy) W ₂ from the installation patterns G'that satisfy the number of new charging spots to be installed. Further, the information collecting support processor 15, of the installation pattern G 'to meet the target value or more traveling range W _2, may be selected an installation pattern to minimize the number of new charge spots installed.

The information collection support device 1 of the third embodiment can realize more effective arrangement of charging spots by providing the information collection support processing unit 15 that performs the arrangement determination processing as described above.

According to at least one embodiment described above, the event information collecting unit 13 that collects the event information acquired by the plurality of sensors 2 from the plurality of sensors 2 installed in the target area for which information is collected, and the event information collecting unit 13. Regarding the installation of sensors by having an information collection support processing unit 15 that performs information collection support processing related to optimization of index values related to the purpose of collecting the event information based on event information collected from a plurality of sensors 2. The required indicators can be further improved.

Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the gist of the invention. These embodiments and modifications thereof are included in the scope and gist of the invention as well as the invention described in the claims and the equivalent scope thereof.

1 ... Information collection support device, 11 ... Communication unit, 12 ... Storage unit, 13 ... Event information collection unit, 14 ... Prediction processing unit, 15 ... Information collection support processing unit, 16 ... Prediction information provision unit, 17 ... Support information provision Department, 2 ... Sensor, 3 ... Information collecting device, 4 ... User terminal, 5 ... Network, 100 ... Information collecting system, 200 ... Point selected as the placement position of the new sensor

Claims (12)

An event information collection unit that collects event information from multiple sensors installed in the target area for information collection,
A prediction processing unit that performs prediction processing that estimates event information acquired by one of the plurality of sensors based on the event information of the other sensor.
Information collection support processing that performs thinning processing to determine new sensors that do not contribute to maintaining or improving the accuracy of the prediction processing among the new sensors newly installed in the target area based on the event information collected from the plurality of the sensors. and parts,
Information collection support apparatus comprising a. The information collection support processing unit performs a placement determination process for determining a more efficient placement position of a new sensor based on event information acquired by the plurality of sensors as the information collection support process.
The information collection support device according to claim 1. The information collection support processing unit performs prediction accuracy improvement processing for improving the accuracy of the estimation model used in the prediction processing as the information collection support processing based on event information acquired by the plurality of sensors.
The information collection support device according to claim 1 or 2. The sensor is a charging spot that supplies electric power and a mobile body that receives electric power from the charging spot.
The event information collecting unit collects operation information which is information about the operation of the charging spot and mobile information which is information about the moving body or the driver of the moving body as the event information.
In the arrangement determination process, the information collection support processing unit installs a new charging spot at a position where the travelable distance of the moving body in the target area is maximized based on the operation information and the moving body information. Determined as a position,
The information collection support device according to claim 2. An event information collection step in which a computer collects event information from multiple sensors installed in a target area for which information is to be collected.
A prediction processing step in which a computer performs prediction processing for estimating event information acquired by one of the plurality of sensors based on the event information of the other sensor.
Information that the computer performs thinning processing to determine a new sensor that does not contribute to maintaining or improving the accuracy of the prediction processing among the new sensors newly installed in the target area based on the event information collected from the plurality of the sensors. and collection support processing step,
Information collection support method with. In the information collection support processing step, a placement determination process for determining a more efficient placement position of a new sensor based on event information acquired by the plurality of sensors is performed as the information collection support process.
The information collection support method according to claim 5. In the information collection support processing step, the prediction accuracy improvement process for improving the accuracy of the estimation model used in the prediction process is performed as the information collection support process based on the event information acquired by the plurality of sensors.
The information collection support method according to claim 5 or 6. The sensor is a charging spot that supplies electric power and a mobile body that receives electric power from the charging spot.
In the event information collection step, operation information which is information about the operation of the charging spot and mobile information which is information about the moving body or the driver of the moving body are collected as the event information.
In the information collection support processing step, in the arrangement determination process, a new charging spot is set at a position where the travelable distance of the moving body in the target area is maximized based on the operation information and the moving body information. Determined as a position,
The information collection support method according to claim 6. An event information collection step that collects event information from multiple sensors installed in the target area for information collection, and
A prediction processing step that performs prediction processing for estimating event information acquired by the sensor of one of the plurality of sensors based on the event information of the other sensors.
Information collection support processing that performs thinning processing to determine new sensors that do not contribute to maintaining or improving the accuracy of the prediction processing among the new sensors newly installed in the target area based on the event information collected from the plurality of the sensors. and the step,
Computer program for causing a computer to execute the. In the information collection support processing step, a placement determination process for determining a more efficient placement position of a new sensor based on event information acquired by the plurality of sensors is performed as the information collection support process.
The computer program according to claim 9. In the information collection support processing step, the prediction accuracy improvement process for improving the accuracy of the estimation model used in the prediction process is performed as the information collection support process based on the event information acquired by the plurality of sensors.
The computer program according to claim 9 or 10. The sensor is a charging spot that supplies electric power and a mobile body that receives electric power from the charging spot.
In the event information collection step, operation information which is information about the operation of the charging spot and mobile information which is information about the moving body or the driver of the moving body are collected as the event information.
In the information collection support processing step, in the arrangement determination process, a new charging spot is set at a position where the travelable distance of the moving body in the target area is maximized based on the operation information and the moving body information. Determined as a position,
The computer program according to claim 10.

Images