JP3301728B2 - Mobile trend analysis management system - Google Patents

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a mobile object trend analysis and management system for accumulating position information of a mobile object and analyzing and managing the trend of the mobile object.

[0002]

2. Description of the Related Art There is a vehicular navigation apparatus as a typical apparatus utilizing position information of a moving body. A vehicle navigation device performs a route search from a departure point to a destination according to a setting input of a point, and sequentially performs guidance along a route searched from the current position to the destination while detecting a current position of the vehicle. It is. At this time, the position information of the moving object is used for displaying the route searched on the road map and displaying the current position of the vehicle for guidance as the current position of the vehicle, for example. Previously, as means for acquiring the position information of the moving body, the speed of the vehicle, the steering angle was detected to determine the traveling azimuth and distance, or the current position was tracked while correcting the azimuth by gyro, In recent years, since a GPS (Global Positioning System) using radio waves from a geostationary satellite has become general-purpose, a method of obtaining a current position by a GPS has become mainstream.

[0003]

However, in the conventional apparatus using the position information of the moving body as described above, the position data is merely displayed on the map as the data of the current position, and the activity of the moving body is not performed. It was not possible to analyze trends such as the situation. Therefore, in a conventional system, when considering a moving object including not only a vehicle but also a person or an animal, there is no one capable of accumulating and analyzing the activities of those objects.

[0004]

SUMMARY OF THE INVENTION The present invention solves the above-mentioned problems, and analyzes and manages a trend of a moving body by accumulating positional information of the moving body.

For this purpose, the present invention relates to a mobile body trend analysis management system for accumulating positional information of a mobile body and analyzing and managing the trend of the mobile body, and has means for detecting the positional information for each mobile body. , Receives position information from each moving object, accumulates them in chronological order, and moves the moving object within the polygon and the position associated with the movement with other polygons in units of polygons consisting of divided and closed surfaces. The information is statistically processed to output analysis information.

The analysis information includes a frequency distribution of the number of times the moving body is located within the same polygon during a certain period, a frequency distribution of the number of arrivals when the moving body enters from outside the polygon, and a frequency distribution of the number of arrivals of the moving body inside the polygon. And the distribution of the distance that the moving object has moved inside the polygon, the value obtained by statistically processing the position information is compared with a predetermined value, and the comparison result indicates whether the moving object exists in the polygon. Is output.

[0007]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a diagram showing an embodiment of a mobile object trend analysis management system according to the present invention.
1 to n are mobile units, 2 is a communication device, 3 is a data processing device, 4 is a map database, 5 is a stored data file,
Reference numeral 6 denotes an analysis data file, 7 denotes a position data storage unit, 8 denotes a position information analysis unit, and 9 denotes an analysis result output unit.

In FIG. 1, mobile units 1-1 to 1-n are:
People, vehicles (automobiles such as passenger cars, trucks, buses, railways, bicycles), animals, aircraft, ships, transported objects, etc., self-propelled, transported, and other types of transportation And has means for detecting its own position information. Means for detecting position information is, for example, G
The personal information system is a PS or a PHS (Personal Handy-phone System), and the identification information and the detected position information (longitude and latitude) of the moving object are transmitted by wearing or carrying them periodically or upon request. The communication device 2 includes a mobile unit 1-
1 to 1-n to request transmission of location information, and
It receives identification information and location information transmitted from -1 to 1-n, or receives identification information and location information periodically transmitted from the mobile units 1-1 to 1-n. In addition, if necessary, analysis information and notification information based on the result of analyzing the location information are transmitted to a regional terminal, a monitoring terminal, and the like. The data processing device 3 performs each processing of accumulating the position information data received by the communication device 2, analyzing the position information, and outputting an analysis result. The accumulated data is stored in the accumulated data file 5, The analysis data file 6 stores the data. Map database 4
The map is divided into multiple regions, such as the administrative boundaries (municipal boundaries, town boundaries, character boundaries), block boundaries, sales office boundaries, postal boundaries, delivery boundaries, medical boundaries, etc., each with a polygon number. For storing the moving objects 1-1 to 1-n
Is analyzed and managed in units of this polygon number. The shape of the polygon may be regular or irregular, the same shape may be repeated when there is the same shape, or the same shape may be absent.

A data processing device 3 stores a position data storing section 7 for storing position information data, and a position information storage section 7 for analyzing a trend of each of the moving bodies 1-1 to 1-n in units of polygon numbers based on the stored position data. The analysis unit 8 has an analysis result output unit 9 for displaying and outputting the analysis result, for printing, and for transmitting it to the local terminal as needed. The position data storage unit 7 stores the position information of each of the mobile units 1-1 to 1-n in the storage data file 5 in chronological order, for example.
The position information of all the moving objects is stored in the order of acquisition, the information is stored for each polygon number, and the moving objects 1-1 to 1-n
It has several storage modes, such as storing each time. The position information analysis unit 8 performs, for example, a statistical analysis focusing on a polygon number to obtain the moving frequency of each of the moving bodies 1-1 to 1-n, the number of arrivals there, the staying time, the moving distance, and the like. In other words, it performs monitoring analysis to detect when the vehicle has arrived or when those values have reached a certain threshold. The analysis result output unit 9 displays and outputs the results of statistical analysis, monitoring analysis, and the like in the form of a histogram, various graphs, figures, and the like in accordance with the output request, or superimposes the area map on the area map, prints out the result, The information is transmitted to the local terminal in response to the request, and the result of the monitoring analysis is sequentially notified according to preset conditions.

Further, the configuration and processing of each data file will be described in detail. FIG. 2 is a diagram showing a configuration example of a stored data file stored in time series. FIG. 3 is a diagram showing a correspondence example between a polygon number and a position of a moving body on an area map.
FIG. 3 is a diagram showing a configuration example of a stored data file stored for each moving object.

As shown in FIG. 2, for example, as shown in FIG. 2, the stored data file 5 of each mobile object stored by the position data storage means 7 has a mobile object number for identifying each mobile object, The data includes a polygon number corresponding to a polygon divided by a world, a longitude and a latitude, which are positional information of a moving object, a height, and data of the measurement date and time. When the communication device 2 receives the identification information (mobile unit number) and the position information (longitude and latitude) from the mobile units 1-1 to 1-n, the position data storage unit 7 stores the received mobile unit number “ By referring to the map database 4 from the position information for each of "100" and "101", as shown in FIG.
.. Are recognized and stored in the storage data file 5 together with the measurement date and time. In FIG. 3, "100",
“200” indicates a moving object number, ● indicates a position on each area map, and “-” indicates a polygon number.

As described above, the data of the position information of each of the mobile units 1-1 to 1-n is stored and stored in the storage data file 5 in chronological order according to the measurement date and time, as shown in FIG. In this manner, the positional information (longitude and latitude) and the measurement date and time are stored in the storage data file 5 in time series for each mobile unit number.
And may be stored. In this case, only the identification information (moving object number), the position information (longitude, latitude), and the measurement date and time from the moving objects 1-1 to 1-n are referred to by the position data storage means 7 without referring to the map database 4. Accumulate,
The polygon number may be recognized by referring to the map database 4 from the position information at the time of the analysis processing described later.

FIG. 5 is a diagram showing a configuration example of an analysis data file, and FIG. 6 is a diagram showing a configuration example of the latest position information data of a moving object.

The position information analyzing means 8 is, for example, as described above, a statistical analysis for obtaining the moving frequency of each of the moving bodies 1-1 to 1-n, the number of arrivals there, the residence time, the moving distance, and the like. The timing, that is, monitoring analysis to determine and notify preset conditions such as when they arrive or when their values reach a certain threshold, etc., are performed, but the configuration example of the analysis data file that stores the analysis data is as follows. FIG. 5 shows this. In the analysis data file, for example, as shown in FIG. 5, data of frequency, number of arrivals, staying time, moving distance, and monitoring information are stored for each moving object number of polygon,. The frequency is obtained by counting the number of times the position is measured within a certain polygon when the position is measured at a predetermined time interval within a predetermined period. The number of arrivals is a count of the number of times the moving object has entered the polygon from outside to inside. The staying time is the time during which the moving object stays inside a certain polygon, and is the sum of the time from when the moving object moves to another inside position. The moving distance is the sum of the distances that the moving body has moved inside a certain polygon. The monitoring information is information for notifying an abnormality or notifying a specific condition when the frequency, the number of arrivals, the residence time, the moving distance, and the position of the moving object satisfy or do not satisfy the preset monitoring condition. is there.

For example, when notifying that a moving object has entered a polygon or that it has come out on the contrary, or confirming the position of the moving object at that time, the current position of each moving object is always determined. There is also a need to manage location information. For this purpose, for example, a management table of the current position information of each moving object as shown in FIG. 6 is set, and is composed of data of the moving object number, polygon number, longitude and latitude, and measurement date and time. It may be updated with the latest one.

FIG. 7 is a diagram showing a configuration example of a monitoring analysis item setting table, and FIG. 8 is a diagram showing a configuration example of notification output data. As described above, the monitoring analysis monitors analysis data in a moving object or a polygon, and reports an abnormality when a set monitoring condition is satisfied or not satisfied, and reports a specific condition. FIG. 7 shows an example of the monitoring condition setting table. For example, if “moving distance ÷ dwelling time is less than a fixed value” is set as the monitoring condition for the mobile unit number “101” and “D” for outputting a message to that effect is set as the notification number, the corresponding condition is satisfied. A message can be output when the activity of the mobile object has significantly decreased. In addition, when a moving object enters the polygon number is set as “monitoring object” and an alert number “A” for outputting an alarm is set, the alarm is issued when the moving object enters the corresponding polygon. Can be output. FIG. 8 shows a configuration example of notification output data for setting specific notification contents in the column of the notification number set in the monitoring analysis item setting table.

In the monitoring analysis item setting table, the address of the table may be pointed at the monitoring information column of the analysis data file shown in FIG. 5, or the monitoring condition may be pointed at the monitoring information column of the analysis data file. May be individually pointed to the address of the item. In the latter case, in the monitoring analysis item setting table shown in FIG.
The column of the polygon number can be omitted, and a plurality of moving objects and polygons can share the monitoring condition without belonging to the moving object or polygon. Therefore, the size of the monitoring analysis item setting table can be reduced.

Next, an example of processing by the mobile object trend analysis management system having the above configuration will be described. 9 is a diagram for explaining an example of the entire process, FIG. 10 is a diagram for explaining an example of an accumulation process by the position data accumulating unit, and FIG. 11 is a diagram for explaining an example of an analysis process by the position information analyzing unit. FIG.

The processing by the mobile object trend analysis management system according to the present invention having the above-described configuration is, for example, as shown in FIG. It is checked whether or not a data collection request based on a predetermined condition determination on the system side has occurred (step S11). If a data collection request has not been issued, it is checked whether a predetermined collection time set as data collection timing has arrived (step S12). Then, when a data collection request occurs or at the time of collection, the position data storage means 7 starts data collection via the communication device 2 and performs data storage processing (step S13). When the necessary data collection is completed (step S14), the data is analyzed by the position information analysis means 8 (step S15).
Next, it is determined whether or not there is an output of the analysis result (step S16). If there is an output of the analysis result, the analysis result output means 9 performs an output process of the analysis result (step S17). The above processing is repeatedly executed, and when there is an instruction to end the analysis (step S18), the mobile body movement analysis is ended.

Then, in the accumulation processing of step S13,
As shown in FIG. 10, the mobile unit number is extracted from the data collected via the communication device 2 (step S21), and the position information (longitude, latitude) is extracted (step S22). Then, the polygon number is recognized by referring to the area map of the map database 4 from the position information (step S23), and the position information data of the moving object number, the position information, and the polygon number is stored in the storage data file 5 together with the measurement date and time (step S23). Step S24).

In the analysis process of step S15, as shown in FIG. 11, first, unanalyzed position information data is read from the stored data file 5 (step S31), and a moving object number and a polygon number are selected (step S31). S3
2), moving object, polygon frequency, number of arrivals, residence time,
The moving distance is obtained and the analysis data file 6 is updated (step S33). Further, it refers to the monitoring analysis item setting table (step S34) and checks whether or not there is a corresponding item (step S35). If there is a corresponding item, the monitoring condition of the item is determined to determine whether there is a notification output (step S36). If there is a notification output, the notification output is stored in, for example, the output table of the analysis result output means 9. It is set (step S37).

Next, an output example of the analysis result and an analysis example will be described. FIG. 12 is a diagram for explaining an output example of the frequency distribution and the frequency distribution, FIG. 13 is a diagram for explaining the output example of the number of arrivals and the number of arrivals, and FIG. 14 is a diagram for explaining an output example of the staying time and the staying time. FIG. 15 is a diagram for explaining an output example of the moving distance and the moving distance.

When the analysis result is output by the analysis result output means 9, in the output of the frequency distribution, for example, as shown in FIG. As for the frequency, for example, when attention is paid to a polygon as shown in FIG. 12B, the frequency included in the polygon when the moving body moves is counted. In the output of the number of arrivals, for example, as shown in FIG. 13A, the number of arrivals at each polygon number in a certain period is output as a graph. The number of arrivals is, for example, as shown in FIG.
When attention is paid to the polygon as shown in (B), the movement within the polygon is not counted, but the number of times the moving body arrives at the polygon when the moving body is moved is counted.
In the output of the staying time, for example, as shown in FIG. 14A, the staying time at each polygon number in a certain period is output as a graph. When attention is paid to, for example, a polygon as shown in FIG. 14B, the number of arrivals is the sum of the residence time of the moving object in the polygon. In the output of travel distance,
For example, as shown in FIG. 15A, the moving distance at each polygon number during a certain period is output as a graph. As for the moving distance, for example, when attention is paid to a polygon as shown in FIG. 15B, the moving distance of the moving body in the polygon is summed. When the above analysis results are integrated, the activity state of the moving object can be evaluated based on, for example, the staying time and the moving distance, the staying time and the number of arrivals, and the like. For example, if the travel distance is short despite the long residence time, the activity status is low.If the residence time is short but the number of arrivals is large, people frequently enter and leave, but in that area You can see that one activity time is short.

Next, an example of using the mobile object trend analysis management system according to the present invention will be described. When the mobile body is a salesperson, it is possible to know business efficiency, customer service time, and the like by analyzing the visit time, stay time, and visit frequency for each area. For example, when the frequency of visits is large and the moving distance within the polygon is large, it is possible to minimize the traveling time by placing an office near the polygon. As a result, it is possible to rationally formulate the optimal placement plan for the salesperson.

When the moving object is an animal, it is possible to analyze the range of the action area of the animal. In addition, the characteristics of the polygons located can be known according to the season and time zone, and the behavioral characteristics of animals can be analyzed by analyzing the polygons in relation to the natural environment, vegetation, roads, population, etc. .

When the moving object is a taxi, the relationship between the location where passengers get on and off and the map database is analyzed, and the frequency of each polygon number is analyzed. It is possible to select the most suitable area (area where customers are easily obtained).

When the moving object is a wandering old man, when the person goes out of the range of the polygon designated in advance, or when he / she lives alone, he / she cannot move due to an accident and becomes unable to move, and a warning message is displayed on the monitoring terminal. This can be used for early detection.

In emergency transportation in the event of a disaster, impassable areas are marked on a map, and points are analyzed for each polygon, so that the most damaged areas can be identified. In formulating a transportation plan, a map database is used. By utilizing the route search function of the above, the route that can be reached first among the routes that can be passed can be selected. Furthermore, for emergency transportation in the event of a disaster, plotting evacuation points and classifying each into polygons on the map, it is possible to formulate an optimal delivery plan and goods transportation plan, In the delivery, the distribution ratio is displayed in different colors for each polygon, so that the area where the distribution is delayed can be grasped at an early stage, so that the measures for strengthening the transportation system can be promptly performed.

In the case of a stolen article such as a precious metal article, when it comes out of a certain polygon area, a buzzer or the like is used to give an alarm and notify the security company. In an area where entry is prohibited or controlled, when a moving object other than the specified moving object enters the certain polygon area, a warning by a buzzer or the like can be issued and the management department can be notified.

Further, in the case of a railway, the polygons are set as railway sections, so that the operation management of trains and trains can be optimized. In the case of an aircraft, the polygons of the aircraft flight zones and the current position of the aircraft can be determined. By overlapping, flight management becomes possible. In this case, only one aircraft can fly in one flight zone. Therefore, if at least one aircraft is in the flight zone, no other aircraft can enter that flight zone.

The present invention is not limited to the above embodiment, and various modifications are possible. For example, in the above-described embodiment, the frequency distribution and the like of each polygon are displayed as a graph. However, the frequency distribution may be converted into a three-dimensional height display and output, or each polygon on the map may be displayed in a different color.
A locus may be displayed. By doing so, it is possible to display and output polygons that have a high frequency and a large number of times in a manner that is easy to understand visually. In addition, although the position information is managed by longitude and latitude, it is needless to say that x-coordinate, y-coordinate, and z-coordinate of a public coordinate system may be used, and that data in the height direction may be omitted. . Furthermore, the measurement date and time and interval of the accumulated data may be changed according to the season, month, day of the week, morning, afternoon, midnight, and the like, the type of the moving object, the purpose of the analysis, and the like.
In addition, the analysis period is changed, and the analysis is divided according to the season, month, day of the week, morning, afternoon, midnight, etc., the type of moving object, the purpose of the analysis, etc., and analysis is performed for each division. You may. In addition, the administrative world (municipalities, towns and towns,
Polygons are divided into multiple areas divided into a business area, a business district, a postal ward, a delivery ward, and a medical ward, but the census division, the division set by disaster prevention management, and the legal affairs , Police departments and other administrative jurisdictions, divisions set for other specific purposes, as well as predetermined sections such as factories and offices, living quarters that divide the building, rooms, offices, showrooms, etc. The unit may be a polygon.

[0032]

As is apparent from the above description, according to the present invention, there is provided a mobile object trend analysis and management system for accumulating position information of a mobile object and analyzing and managing the trend of the mobile object.
It has means for detecting position information for each moving body, receives position information from each moving body, accumulates it in chronological order, and uses a polygon consisting of divided and closed surfaces as a unit, within the polygon of the moving body. Statistical processing of position information associated with movement and movement with other polygons is performed and analysis information is output, so that the activity of a moving object within a polygon and the state of entering and exiting another polygon can be managed. . Moreover, as the analysis information, the frequency distribution of the number of times the moving body is located within the same polygon during a certain period, the frequency distribution of the number of arrivals of the moving body entering from outside the polygon, and the moving body staying inside the polygon The distribution of time, the distribution of the distance that the moving object has moved inside the polygon, the value obtained by statistically processing the position information are compared with a predetermined value, and the comparison result is output as information on the presence or absence of the moving object in the polygon. Therefore, the behavior characteristics of the moving object can be analyzed in association with the environment of the polygon.

[Brief description of the drawings]

FIG. 1 is a diagram showing an embodiment of a mobile object trend analysis management system according to the present invention.

FIG. 2 is a diagram showing a configuration example of a stored data file stored in a time series.

FIG. 3 is a diagram showing an example of correspondence between a polygon number and a position of a moving object on an area map.

FIG. 4 is a diagram showing a configuration example of a stored data file stored for each moving object.

FIG. 5 is a diagram showing a configuration example of an analysis data file.

FIG. 6 is a diagram illustrating a configuration example of latest position information data of a moving object.

FIG. 7 is a diagram showing a configuration example of a monitoring analysis item setting table.

FIG. 8 is a diagram illustrating a configuration example of notification output data.

FIG. 9 is a diagram illustrating an example of the entire process.

FIG. 10 is a diagram for explaining an example of a storage process by a position data storage unit.

FIG. 11 is a diagram illustrating an example of an analysis process performed by a position information analysis unit.

FIG. 12 is a diagram for describing an output example of a frequency distribution and a frequency distribution.

FIG. 13 is a diagram for describing an output example of the number of arrivals and the number of arrivals.

FIG. 14 is a diagram for describing an output example of a residence time and a residence time.

FIG. 15 is a diagram for describing an output example of a moving distance and a moving distance.

[Explanation of symbols]

1-1 to 1-n mobile unit, 2 communication device, 3 data processing device, 4 map database, 5 stored data file, 6 analysis data file, 7 position data storage unit,
8 position information analysis unit, 9 analysis result output unit

──────────────────────────────────────────────────続 き Continued on front page (58) Field surveyed (Int.Cl. ⁷ , DB name) G01P 13/00

Claims (7)

(57) [Claims] 1. A mobile object trend analysis management system for accumulating position information of mobile objects and analyzing and managing trends of the mobile objects, comprising means for detecting position information for each mobile object, , And accumulates them in chronological order, and statistically processes the position information associated with the movement of the moving object within the polygon and the movement with other polygons in units of polygons consisting of divided and closed surfaces A mobile object trend analysis management system characterized in that the analysis information is output by performing the analysis. 2. The mobile object trend analysis management system according to claim 1, wherein the number of times the mobile object is located within the same polygon during a predetermined period is output as the analysis information. 3. The moving body trend analysis management system according to claim 1, wherein the number of arrivals of the moving body during a certain period from the outside of the polygon is output as the analysis information. 4. The mobile object trend analysis management system according to claim 1, wherein a time during which the mobile object has stayed inside the polygon during a predetermined period is output as the analysis information. 5. The moving body trend analysis management system according to claim 1, wherein a distance traveled by the moving body within the polygon during a certain period is output as the analysis information. 6. The mobile object trend analysis management system according to claim 1, wherein a value obtained by statistically processing the position information is compared with a predetermined value as analysis information, and the comparison result is output. 7. The mobile object trend analysis management system according to claim 1, wherein information on the presence or absence of the mobile object in the polygon is output as the analysis information.