JP2008299820A - Position information processor - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a position information processor in which such a situation that a systematic analysis or the like is affected by position information contradicting movement characteristics of an object person can be avoided as much as possible. <P>SOLUTION: The position information processor 200 includes a position information acquisition unit 21 for acquiring position information showing a change in a position of the object person, and an erroneous positioning detecting unit 22 for detecting erroneous positioning of position information acquired by the position information acquisition unit 21 within a prescribed period on the basis of data about the movement characteristics of the object person, consequently such a situation that the systematic analysis or the like is affected by the position information contradicting the movement characteristics of the object person can be avoided as much as possible by using detection results by the erroneous position detecting unit 22. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a position information processing apparatus, and more particularly to a position information processing apparatus that processes position information indicating a change in the position of an individual.

  In order to analyze organizational activities scientifically, it is necessary to analyze the behavior of individual members constituting the organization based on actual data. Today, there are a wide variety of basic techniques that can be used to detect a person's position, but simply being able to detect a person's position is not sufficient for the purpose of analyzing organizational activities. In order to analyze organizational activities, it is very important to be able to detect information such as who and where the meeting is held.

  For example, Patent Document 1 discloses a working time collection method, an apparatus for implementing the method, and a medium on which a processing program is recorded. The present invention collects the work time of a worker who performs a plurality of work in a plurality of work areas, identifies the worker's area using an IC card, and identifies the work contents in light of the worker's schedule information. It identifies and totals the work time for each work content.

  Patent Document 2 discloses an invention of a system and method for calculating the staying time at each booth at an event venue. This invention counts how long the visitors to the event venue have visited at which booth, and uses the IC card to detect the booth where the event visitors have stopped and the time spent at that booth. The result of counting is recorded on an IC card.

  Patent Document 3 discloses an invention of an action management device, an action management system, and an action management method. The present invention enables a user's behavior record of the user to be automatically created by carrying the mobile terminal with a built-in GPS, and the GPS built-in terminal measures the position of the terminal at regular intervals, On the basis of this, by sequentially recording where the user was, the action record of the user who possesses the terminal is automatically created.

JP 11-345250 A JP 2001-101466 A JP 2003-76818 A

  In the inventions described in Patent Documents 1 to 3, since individual actions can be recorded as a log, after collecting logs from a plurality of position detection subjects, a position detection target existing at the same time and in the same place By finding a person, it is possible to detect that a meeting has been held by assuming that a meeting has been held between the position detection target persons.

  However, the members attending the meeting are not always stopped at the same place at the same time, and they are called out by telephone during the meeting to temporarily go out of the room or add materials. There is often a fine-grained movement (called transient behavior) that breaks the continuity of the meeting, such as temporarily returning to the room or seat.

  In addition, any sensor device has a positioning error according to the accuracy inherent to the sensor device, so in some situations it moves around different areas even though the target to be measured does not move. It may be detected erroneously.

  In this way, if it is attempted to detect that there is a meeting between multiple participants by simply using the location information itself, the individual continues to be in the same place due to the transient behavior of the person and the accuracy limit of the sensor device itself. Since the existing period is fragmented, the detection condition that a plurality of participants exist at the same time and in the same place is difficult to be satisfied, so that it may be very difficult to detect the meeting.

  Accordingly, the present invention has been made in view of the above problems, and a position information processing apparatus capable of suppressing as much as possible the influence of position information contradicting the movement characteristics of an individual for systematic analysis or the like. The purpose is to provide.

  In order to solve the above-described problem, the position information acquisition apparatus according to the present invention acquires position information based on position information acquisition means for acquiring position information indicating a change in position of an individual, and data on the movement characteristics of the individual And mispositioning detection means for detecting mispositioning of the position information acquired by the means.

  According to this, since the mispositioning detection means detects the mispositioning of the position information indicating the change of the position of the individual acquired by the position information acquisition means within a predetermined time based on the data regarding the movement characteristics of the individual, Position information that contradicts the movement characteristics of the individual can be detected. Therefore, by performing a systematic analysis or the like based on the detection result, it is possible to suppress as much as possible the influence of the position information contradicting the movement characteristics of the individual on the analysis result.

  In this case, the position information acquisition unit may specify an area where the individual is detected from a plurality of areas where the individual can exist. Further, in this case, the data relating to the movement characteristics of the individual is reference information relating to the movement frequency between the areas, and the erroneous positioning detection unit is configured to detect the individual of the individual derived from the position information acquired by the position information acquisition unit. An erroneous positioning can be detected based on the movement frequency between the areas and the reference information. In such a case, position information that contradicts the movement characteristics of the individual is detected by determining that the frequency of movement between the areas is too high to exceed the reference information due to the characteristics of the individual, by determining that the positioning is incorrect. be able to.

  Further, the data relating to the movement characteristics of the individual is information regarding a path where the individual cannot move among the paths between the areas, and the erroneous positioning detection means is derived from the number of the non-movable paths. The erroneous positioning can be detected based on a numerical value. In such a case, since it is possible to detect contradictory position information such as there is a path that cannot be moved, it is possible to suppress as much as possible the influence of the position information that contradicts the movement characteristics of the individual on the analysis result. . In this case, the erroneous positioning detection means can detect the erroneous positioning based on the number or ratio of the non-movable paths included in the movement path of the individual within a predetermined time. .

  Further, the data relating to the movement characteristics of the individual is threshold information regarding entropy indicating the ambiguity of the position of the individual between two or more areas, and the erroneous positioning detection unit is the position acquired by the position information acquisition unit. The erroneous positioning can be detected based on entropy derived from information and the threshold information. In such a case, for example, it can be determined that the smaller the entropy indicating the ambiguity of the position between the plurality of areas, the higher the reliability of the detection result, and the greater the entropy, the lower the reliability of the detection result. . This makes it possible to handle position information according to the level of reliability. In this case, the threshold information is individually set for a combination of two or more areas, and the erroneous positioning detection means specifies an area group consisting of a plurality of areas where the individual has moved within a predetermined time. The erroneous positioning can be detected using threshold information corresponding to the area group.

  The position information processing apparatus of the present invention further comprises processing means for processing and outputting the position information acquired by the position information acquiring means when the erroneous positioning is detected by the erroneous positioning detecting means. can do. In such a case, it is possible to perform highly accurate analysis by using the processed output result for systematic analysis or the like.

  In this case, the processing means derives the stay information in the area where the individual can stay from the position information acquired by the position information acquisition means within the predetermined time when the erroneous positioning is detected, and the predetermined information Information indicating that the information is indefinite can be added to the stay information of the individual within the time and output. In such a case, in the systematic analysis or the like, by treating the stay information to which information indicating that it is indefinite is distinguished from other stay information, the position information that contradicts the movement characteristics of the individual, It is possible to suppress the influence on analysis results such as systematic analysis as much as possible. Further, the processing means derives stay information in an area where the individual can stay from the position information acquired by the position information acquisition means within a predetermined time during which the erroneous positioning is detected, and within the predetermined time. A numerical value relating to the ratio of staying in each area within the predetermined time can be added to the stay information for each area of the individual and output. In such a case, it is possible to perform a highly accurate analysis by referring to and considering numerical values related to the ratio of staying in each area in a systematic analysis or the like.

  In this case, the apparatus further comprises reference data supply means for supplying reference data other than data relating to the movement characteristics of the individual to the processing means, and the processing means corrects a numerical value related to the staying ratio using the reference data. Can be. Further, in this case, the reference data includes the total number of individuals staying in the area where the individual is detected and the number that can be accommodated in the area, and the processing means includes a numerical value relating to the staying ratio, A numerical value obtained by multiplying the accommodable number by the total number of individuals may be added to the stay information and output, and the reference data is not available to the individual. Including the information about the area, and the processing means may output a value added to the stay information by setting a numerical value relating to the ratio of staying in the unusable area to zero, and the reference data Includes information related to an area where the probability of use by the individual is low, and the processing means is obtained by multiplying a numerical value related to a ratio of staying in the unusable area by a value corresponding to the probability of use. Numerical value may output in addition to the stay information that.

  Further, the processing means compares a numerical value added to the stay information obtained within the predetermined time, and regards an area having the maximum numerical value as an area where the individual has stayed continuously for the predetermined time. can do.

  Further, in the position information processing apparatus of the present invention including processing means for processing and outputting the position information acquired by the position information acquisition means, the processing means is configured to move the individual from the movement path within the predetermined time. It is possible to reconfigure the movement path of the individual by removing the path that the individual cannot move. In such a case, it is possible to perform analysis based on more realistic position information by using the reconfigured movement route. In this case, the processing means derives stay information in an area where the individual can stay based on the reconfigured travel route, and from the stay information for each area of the individual within the predetermined time, It is also possible to calculate a numerical value related to the ratio of staying in each area within a predetermined time, and to regard the area having the maximum numerical value as the area where the individual has stayed for the predetermined time.

  Furthermore, the position information processing apparatus including the processing unit may further include a position information storage unit that stores information processed by the processing unit.

  According to the present invention, it is possible to provide a position information processing apparatus capable of suppressing as much as possible the influence of position information contradicting the movement characteristics of an individual for systematic analysis or the like.

<< First Embodiment >>
Hereinafter, a first embodiment for carrying out the present invention will be described in detail with reference to FIGS.

FIG. 1 shows a schematic view of a preferred office 100 using the position information processing apparatus of the present invention. The office 100 has, for example, five areas A _{1 to} A ₅ . Of these areas A ₁ to A _5, the member staying in the area A _1, it can be moved only to the area A _2, the members are staying in the area A _2, the area A _1, Members who can move only to A ₃ and A ₄ and stay in area A ₃ can move only to areas A ₂ and A _4, and members who stay in area A ₄ It is possible to move only to the areas A ₂ and A ₅ , and the members staying in the area A ₅ can move only to the areas A ₃ and A ₄ .

For each member who can enter the office 100, a transmitter 42 (see FIG. 2) such as a wireless IC tag is distributed. Correspondingly, in each of the areas A _{1 to} A ₅ , a position sensor 44 (see FIG. 2) that receives a weak radio wave transmitted from the transmitter 42 and detects the position of the member is installed. ing. In principle, the position sensor 44 is set so as to receive only weak radio waves from the transmitter 42 existing in the area where the position sensor is installed. Therefore, depending on the situation, there is a possibility that the object to be measured is erroneously detected as moving between areas even though the object to be measured does not move. In FIG. 1, an area outside the office 100 is shown as an area φ.

  FIG. 2 shows a schematic configuration of the position information processing apparatus 200 used in the office 100. The position information processing apparatus 200 includes a position information server host 10, a human position data processing server host 20, and a position information DB server host 30. These server hosts 10, 20, and 30 are connected to a network.

  The position information server host 10 is connected to position sensors 44 arranged in each area. These position sensors 44 receive weak radio waves from the transmitter 42 carried by the member, generate data indicating when and where the member is located, and supply the data to the position information server host 10. The data format of the position sensor 44 and the data format held by the position information server host 10 can be set as appropriate. For example, the position sensor 44 supplies a list of IDs (IDs of wireless IC tags) of members located in the area at predetermined time intervals to the position information server host 10 together with the time information. The location information server host 10 generates and stores location information indicating when and where each member has moved based on the data received from the location sensor 44. Note that at least a part of the position information as described above may be prepared and supplied to the position information server host 10 on the position sensor 44 side. In the following, the position information prepared or stored in the position information server host 10 is also referred to as “fine-grained position information”.

  The human location data processing server host 20 aggregates the fine-grained location information prepared and stored by the location information server host 10 to determine whether or not there has been an incorrect positioning and to process (correct) the data with an incorrect positioning. The position information of coarse granularity is formed, and specifically includes a position information acquisition unit 21, an erroneous positioning detection unit 22, an erroneous positioning processing unit 23, and a positional information storage unit 24. ing. Each unit 21, 22, 23, 24 is a block diagram showing the functional configuration of the human location data processing server host 20, and the hardware resources of the human location data processing server host 20 and various software are cooperated. Composed.

  The location information DB server host 30 includes a location information DB management server 31 and a location information DB 32. The location information DB server host 30 manages coarse location information generated by the human location data processing server host 20, and supplies location information in response to a request from a client. Various kinds of statistical information and meeting information can be acquired using the coarse-grained position information.

FIG. 3 is a diagram illustrating a movement trajectory acquired by the position information server host 10 within a predetermined time (δ) of a position information acquisition target member (hereinafter referred to as “target person”). FIG. 4 is a diagram showing a movement state of the subject within the predetermined time δ in time series. As can be seen from FIGS. 3 and 4, within the predetermined time δ, the position information server host 10 is surrounded by virtual lines even though the subject is actually stationary in the area A ₁ . It is detected as moving within the error range. In other words, the subject is mispositioned as being present in each of the areas φ, A ₁ , A ₂ , and A ₃ for a predetermined time δ.

  Therefore, in the first embodiment, such mispositioning detection and processing (correction) are executed according to the flowchart of FIG. 5 using the human position data processing server host 20.

In step S10 of FIG. 5, the position information acquisition unit 21 receives a position change event e from the position information server host 10, and each time the position information acquisition unit 21 receives the position change event e, the erroneous positioning detection unit 22 operates to target the position change event e. The data is stored in the working memory WM (m) prepared for each member M (e) (which stores the position change event e within the latest δ seconds). In this case, the position change event e is composed of a ternary set <t, m, a> indicating when (t) and to which location (a) the member (object) (m) to be measured has moved. Has been. The place (a) is represented as a _{1 to} a ₅ corresponding to each of the areas A _{1 to} A ₅ . In the following, it is assumed that the position change time for the position change event e is T (e), the position changed member is M (e), and the area after the position change is A (e).

  Next, in step S12, the accuracy of erroneous positioning is calculated for the position change of the subject (m) on the working memory WM (m), and the value is substituted into s. In the first embodiment, as shown in FIG. 6, on the working memory WM (m), it is possible to calculate how much time the member (m) spent in each area. The ambiguity (entropy) on the existence probability distribution at is used as the accuracy.

のように表すことができるので、上式（２）で求められるエントロピーＨ（Ａ）を、誤測位の判断基準となる確度として用いる。 Specifically, if the time staying in the area a within the predetermined time δ is T (a), the existence probability P (a) of the area a is
P (a) = T (a) / δ (1)
And the entropy H (A) for the area set on the working memory WM (m) is

Therefore, the entropy H (A) obtained by the above equation (2) is used as the accuracy as a determination criterion for erroneous positioning.

Therefore, in the example of FIG. 6, the probability P (φ) existing outside the office 100 is 0.0625, the probability P (A ₁ ) existing in the area A ₁ is 0.375, and the probability P existing in the area A _2. Since (A ₂ ) is 0.25 and the probability P (A ₃ ) existing in the area A ₃ is determined to be 0.3125, the entropy H (A) is determined to be about 1.81 from the above equation (2). . Therefore, in step S12, 1.81 is substituted for the accuracy (s).

  Returning to FIG. 5, in the next step S <b> 14, areas included in the position change event group on the working memory WM (m) are extracted, and an erroneous positioning determination threshold corresponding to the area included in the area group is set in advance. It is acquired from the prepared erroneous positioning determination threshold value table (see FIG. 7), and the value is substituted into Th (a).

  Here, the erroneous positioning determination threshold value table of FIG. 7 will be specifically described.

≒０．５６９ …（３） The threshold value in the erroneous positioning determination threshold table is a simulation result of a behavior that is commonly considered as a frequency of movement of a person, a value obtained by actually measuring a model behavior in advance for calibration, or a value allowed by a user of the position information processing apparatus 200. Define by the ambiguity of the possible range. For example, when the positioning erroneous between the two areas A _1, A ₂ is expected, procedural organization analysis, the area A _1, A _2, at 90% could be detected in any one place of phi, it If it is set that the ambiguity of the degree that the total value detected in other places is 10% and equal is an allowable range, the corresponding entropy is obtained from the following equation (3). The value obtained here is set as a threshold value.

≒ 0.569 (3)

≒０．６２７ …（４） Similarly, when the positioning erroneous between areas A _1, A _2, A ₃ is expected, the area A _1, A _2, A _3, at 90% could be detected in any one place of phi, If it is assumed that the ambiguity to the extent that the total value detected at other locations is 10% and equal is acceptable, the entropy corresponding to the ambiguity can be obtained from the following equation (4). Therefore, the value obtained here is set as a threshold value.

≒ 0.627 (4)

  A summary of the results obtained in this way is the erroneous positioning determination threshold value table of FIG.

In the present embodiment, as shown in FIG. 6, an area set {A ₁ , A ₂ , A ₃ } including three areas is obtained as an area on the working memory WM (m). The erroneous positioning determination threshold value (0.627) of the matching area set is acquired from the erroneous positioning determination threshold value table of FIG. 7, and the value is substituted into Th (a).

For example, when an area set {A ₁ , A ₂ , A ₃ , A ₄ } including four areas is obtained as an area on the working memory WM (m), an area set that completely matches these areas is obtained. Since it does not exist in FIG. 7, for example, the part (1) that is a subset of {A ₁ , A ₂ , A ₃ , A ₄ } is identified from the area set in FIG. The part (2) with the largest number of areas is selected. Then, an average of the threshold values set for each of the selected area sets {A ₁ , A ₂ , A ₃ } and {A ₂ , A ₃ , A ₄ } is taken ((0.627 + 0.627) /2=0.627), and the average value is substituted into the erroneous positioning determination threshold Th (a).

  Returning to FIG. 5, in the next step S <b> 16, the accuracy (s) and the erroneous positioning determination threshold (Th (a)) are compared to determine whether or not s> Th (a). If the determination here is affirmed, it means that there is an erroneous positioning within the predetermined time δ, and if the determination is negative, it is determined that there is no erroneous positioning within the predetermined time δ. Means. In the example of FIG. 6, since s = 1.81 and Th (a) = 0.627, if the determination here is affirmed, the process proceeds to the next step S18.

  In step S18, the contents of the working memory WM (m) of the member (m) are transferred to the erroneous positioning processing unit 23, and processing in the erroneous positioning processing unit 23 is started.

  First, the erroneous positioning processing unit 23 reads position change events e = (t, m, a) from the working memory WM (m) of the member (m) in order from the oldest time t. Next, an area context c is generated based on the position change event. This area context is a 4-tuple <ts, te, m, a> that indicates when a certain target member (m) has been in (ts), until (te), and in which location (a). In this set of four terms, ts is called an area context start time, te is an area context end time, m is an area context target member, and a is an area context position. For area context c, TS (c) is the start time of the area context, TE (c) is the end time of the area context, M (c) is the target member of the area context, and A (c) is the area context. It shall be expressed as a position.

  Next, the erroneous positioning processing unit 23 executes any one of processing (part 1) to processing (part 3) described below.

<Processing (1)>
The erroneous positioning processing unit 23 adds the correction information (INDEFINITE) to the area context c and outputs it, assuming that the position (detection result) within the predetermined time δ seconds is completely indeterminate. That is, the erroneous positioning processing unit 23 sets the area context c within the predetermined time δ as <t−δ, t, m, a ₁ , INDEFINITE>, <t−δ, t, m, a ₂ , INDEFINITE>. Output.

  By performing such processing, when acquiring various types of statistical information and meeting information, it is possible to refer to the correction information (INDEFINITE), so it is possible to determine whether to use the area context for statistics, etc. It can be done easily.

<Processing (2)>
Instead of the above process (part 1), the erroneous positioning processing unit 23 adds the existence probability P (a) as the correction information to the area context c within the predetermined time δ seconds and outputs the correction information. If the correction information for the areas A ₁ , A ₂ ... Is expressed as E (a ₁ ) (= P (a ₁ )), E (a ₂ ) (= P (a ₂ )). Process the area context c as <t−δ, t, m, a ₁ , E (a ₁ )>, <t−δ, t, m, a ₂ , E (a ₂ )>. ,Output.

  By performing such processing, correction information (E (a)) can be referred to when acquiring various types of statistical information and meeting information, so whether or not to use the area context for statistics etc. Judgment and judgment of data reliability can be easily performed.

The erroneous positioning processing unit 23 selects only one area having the highest existence probability P (a) from the area contexts acquired within the predetermined time δ, it may be handled as it existed continuously in the area (and a _n). In this case, erroneous positioning process unit 23, using the initial time t0 of the working memory WM (m), the area context may be set to be <t0, t0 + δ, m , a n, CORRECTED> generates only outputs . The display “CORRECTED” attached to the end of the area context is correction information indicating that the erroneous positioning has been corrected.

<Process (part 3)>
Instead of the above process (part 1) and process (part 2), the erroneous positioning processing unit 23 may perform a process of reconstructing the position data by removing the route that the subject cannot move. it can. In this process (part 3), as described above, the movement between the areas is as follows: area A ₁ to area A ₂ , area A ₂ to area A ₁ , A ₃ , A ₄ , area A ₃ to area A ₂ , A _4. Based on the premise that only movement from area A ₄ to areas A ₂ and A ₅ and from area A ₅ to areas A ₃ and A ₄ is permitted. That is, in FIG. 8A, it can be said that the movement route indicated by the dotted arrow is “an unmovable movement route”. Therefore, of the FIG. 8 (a), the member as moving from the area A _1, indicated at ir to area A ₃ did, as shown in FIG. 8 (b), thereafter, the area A ₁ (m) until the come back, and be handled as continued residence in the area a _1.

  The process (No. 3) is actually executed according to the flowchart shown in FIG. This process is started immediately before moving the time window corresponding to the working memory WM (m) (the movement of the time window will be described later).

  First, in step S20, the position change event e = <t, m, a> is read from the working memory WM (m) of the member m in order from the oldest time t.

  Next, in step S22, it is determined whether there are any more position change events to be read. If the determination here is negative, in the next step S24, the path from the immediately preceding fixed position (denoted as time tn) (denoted as an) to the current position change event position (denoted as A (e)). Is a movable route, and it is determined whether or not the immediately preceding confirmed position (an) is equal to the immediately preceding position change event position (referred to as a (n + 1)). If the determination is negative, the process proceeds to step S30, where the position of the previous position change event is replaced with the position A (e) of the current position change event e.

  Then, steps S20, S22, and S30 are repeated until the determination in step S24 is affirmed. If the determination in step S24 is affirmative, the area context <tn, T (e), M (e), an, POSSIBLE_ROUTE> is output in the next step S26. Among these, “POSSIBLE_ROUTE” is correction information indicating that the area context to which this display is added is a result of removing a path that cannot be moved.

In the examples of FIGS. 8A and 8B, the area context c = <t ₁ , t ₂ , m, a ₁ , POSSIBLE_ROUTE> is generated and output. In this case, “t ₁ ” means the time when A ₁ is entered immediately before the movement from area A ₁ to area A ₃ , and “t ₂ ” passes through a path that can be moved after time t _1. This means the time when the user has moved from the area A ₁ to another area.

  Next, in step S28, the immediately preceding confirmed position an is replaced with the current position change event position A (e), and the immediately preceding position determined time tn is replaced with the current position change event time T (e).

  Thereafter, steps S20 to S30 are repeated, and the processing of FIG. 9 ends when the determination in step S22 is affirmed.

  It is possible to obtain highly accurate information by using the corrected area context obtained by such processing when acquiring various statistical information and meeting information.

In the process (No. 3), after removing the abnormal route as described above, the accuracy (for example, existence probability) in each area is calculated, and only one area with the highest accuracy is selected. However, the target person m may be handled as being continuously present in the area ( _{assuming As} ). In this case, the mispositioning processing unit 23 may generate and output only the area context <t0, t0 + δ, m, a _s , CORRECTED> using the initial time t0 of the working memory WM (m). .

  Next, a method of moving the time window corresponding to the working memory WM (m) in the erroneous positioning detection means will be described with reference to FIGS. 10 (a) and 10 (b). The time window moving method shown in FIG. 10A is a technique that can be adopted in any of the three processing methods described above. This method of moving the time window is to move the time window at fixed time intervals and at fixed intervals. Specifically, for example, assuming that the time window width δ is 5 minutes, the time window is 10:00 to 10: 5, 10: 5 to 10:10, and so on. The time window is moved with a fixed time interval.

  If the time window moving method shown in FIG. 10A is adopted, the existence probability is calculated until the current time reaches the end of the time window, as indicated by a dashed line in FIG. 10A. Cannot be performed and the processing may be delayed by the length of the time window. However, when the above-described processing method (No. 3) is adopted, the erroneous positioning processing unit 23 only needs a series of events for correction and does not need information on the entire time window (in other words, within the time window). Therefore, it is possible to take a method of shifting the time window at the timing of the position change event, as shown in FIG. 10B. In this case, since a result can be obtained as soon as the position change occurs, the processing delay is improved.

  In the first embodiment, the ambiguity (entropy) in the existence probability distribution in the area is used as the accuracy used for detection of erroneous positioning. However, the present invention is not limited to this, and the following indices are used. Can also be used as the accuracy.

<Another example of accuracy (1)>
For example, as shown in FIG. 11, the number of movements within the time window of the time width δ corresponding to the working memory WM (m) can be used as the accuracy of mispositioning. That is, in the example shown in FIG. 11, since the number of movements is 14 within the time width δ, the accuracy (s) = 14.

  In this case, as the erroneous positioning determination threshold, a value obtained by actually observing a person and measuring the number of movements, or a value that is commonly considered as a frequency of movement of the person is set. When the accuracy (= 14) is larger than the erroneous positioning determination threshold, it is assumed that there is an erroneous positioning within the time width δ, and one of the processes described in the above embodiment is executed.

<Another example of accuracy (part 2)>
Also, for example, as shown in FIG. 12, the number of abnormal paths and the abnormal path rate within the time window of the time width δ corresponding to the working memory WM (m) can be used as the accuracy of erroneous positioning. That is, in the example shown in FIG. 12, the number of abnormal paths (paths indicated by dotted arrows) is 4, and the number of all paths (total of dotted arrows and solid arrows) is 14. Accordingly, when the number of abnormal paths is used as the accuracy, the accuracy (s) = 4 is set, and when the abnormal path rate is used, the accuracy (s) = 4 / 14≈0.286 is set.

  In this case, regardless of whether the number of abnormal routes or the abnormal route rate is used as the accuracy, an abnormal route should not be included in nature, so the erroneous positioning determination threshold is set to “0”. Shall. However, if the target person has special attributes such as maintenance personnel and is able to move a path that is not possible by using a special path that cannot be used by normal members such as exhaust ducts. It is also possible to set the erroneous positioning measurement threshold value to a positive value.

  It should be noted that the ambiguity (entropy) in the existence probability distribution in the area and the other accuracy examples (Part 1) and (Part 2) described in the first embodiment are used in parallel. It's also good. That is, it is also possible to determine that there has been an incorrect positioning when at least one of the three accuracies exceeds a threshold value set for each.

  As described in detail above, according to the first embodiment, the erroneous positioning detection unit 22 detects the position information error indicating the change in the position of the subject acquired by the position information acquisition unit 21 within the predetermined time δ. The positioning is detected based on data related to the movement characteristics of the subject (for example, ambiguity in the existence probability distribution, the number of movements within a predetermined time, or the number of abnormal paths or the abnormal path rate within a predetermined time δ). Therefore, by performing systematic analysis or the like based on the detection result, it is possible to suppress as much as possible the influence of the position information contradicting the movement characteristics of the subject on the analysis result.

  Further, according to the first embodiment, when an erroneous positioning is detected by the erroneous positioning detection unit, the erroneous positioning processing unit 23 processes the positional information acquired by the positional information acquisition unit 21 (for example, correction information). , Processing to add the accuracy of each area, processing to remove abnormal paths and reconstruct position data, etc., and output, so use the output results of these processing Thus, it is possible to suppress as much as possible the influence of the position information contradicting the movement characteristics of the individual on the analysis result.

  In the first embodiment, as specific examples of the data related to the movement characteristics of the subject, ambiguity in the existence probability distribution, the number of movements within a predetermined time, or the number of abnormal paths or the abnormal path rate within a predetermined time δ As a specific example of the process of the position information acquisition unit 21, a process of adding correction information, a process of adding the accuracy of each area, and a process of reconstructing position data by removing abnormal paths Although described by way of example, the present invention is not limited to this, and it is also possible to employ data relating to the movement characteristics of other subjects and processing methods.

<< Second Embodiment >>
Hereinafter, a second embodiment of the present invention will be described with reference to FIGS. As can be seen from a comparison between FIG. 13 and FIG. 2, the position information processing apparatus 200 ′ according to the second embodiment includes the conference room reservation server host 51 in the position information processing apparatus 200 according to the first embodiment. In addition to this, in place of the human location data processing server host 20 of FIG. 1, a unit constituting the human location data processing server host 20, an external data acquisition unit 52 and a location information temporary holding unit 53 are configured. It is characterized in that a human position data processing server host 20 ′ is employed.

  Among these, the conference room reservation server host 51 acquires conference room reservation information. Also, the external data acquisition unit 52 is acquired so that the erroneous positioning processing unit 23 can perform predetermined processing using external data (for example, conference room reservation information acquired by the conference room reservation server host 51). The position information temporary holding unit 53 is for acquiring / holding so that the erroneous positioning processing unit 23 can perform predetermined processing using the position information of other target persons. It is.

  In the second embodiment, the erroneous positioning processing unit 23 executes the following processing when an erroneous positioning is detected by the erroneous positioning detection unit 22.

<Process (part 1): Accuracy correction due to presence of others>
The erroneous positioning processing unit 23 refers to the position information temporary holding unit 53 to check the distribution of the number of people in each area, and when the number exceeds the number of people that can be accommodated in each area, Multiply by the value of (possible number of people / number of people present). In other words, this correction is performed under the assumption that the existence probability in the area is lower as the number of persons that can be accommodated in each area is exceeded.

  This will be described with reference to a specific example of FIG.

FIG. 14 shows an example of data held by the position information temporary holding unit 53. In this data, 8 (persons) can be accommodated for area A _{1 from} 10:00:00 on September 12, 2005 to 10:01:07 on September 12, 2005 to 4 (persons). ) Members have been detected. Therefore, regarding data detected within this time, since there are twice as many members as can be accommodated in area A ₁ , it is considered that there is a possibility of erroneous positioning, and correction information added to the area context is used. A certain existence probability is multiplied by 1/2 and output.

<Process (part 2): Accuracy correction due to unavailable area>
By referring to the conference room reservation data acquired by the conference room reservation server host 51 through the external data acquisition unit 52, an area with a possibility of erroneous positioning is used as a conference room, and there is a possibility of erroneous positioning. If the member is not included in the prospective user, the existence probability for the area is corrected to zero.

That is, for example, although the area A ₁ is a conference room and the target person (m) is not included in the conference room usage plan, the output of the erroneous positioning processing unit 23 is the area context <t− If δ, t, m, a ₁ , E (a ₁ )>, the correction information E (a ₁ ) is corrected to “0” and <t−δ, t, m, a ₁ , 0> is output.

<Processing (Part 3): Accuracy correction by areas with low probability of use>
By referring to the conference room reservation data acquired by the conference room reservation server host 51 through the external data acquisition unit 52, there is a possibility of erroneous positioning even if an area with a possibility of erroneous positioning is not set as a conference room. When a certain member has a low organizational possibility (for example, a room in another department), the accuracy of the area is set to 1 / N. The value of N can use an objective index on the organization such as the distance of the hierarchical structure between the organizations. Further, when the area is a conference room for which a usage fee is set, it is possible to modify the area accuracy by dividing the usage fee.

  As described above, according to the second embodiment, external data such as the relationship with the other person's location information, the conference room reservation system, the organization, and the facility usage status is used for correction of mispositioning. Therefore, it is possible to perform more accurate processing (correction).

  In the second embodiment, when the process can be performed without using the conference room reservation server host 51 as in, for example, the process (part 1), the conference room reservation server host 51 is set. It is good also as not providing. In addition, when the processing can be performed without using the position information temporary holding unit 53 as in the processes (2) and (3), the position information temporary holding unit 53 is not provided. Also good.

  The embodiment described above is a preferred embodiment of the present invention. However, the present invention is not limited to this, and various modifications can be made without departing from the scope of the present invention.

It is a figure which shows roughly the office where a position information processing apparatus is used. It is a figure which shows roughly the structure of the position information processing apparatus which concerns on 1st Embodiment. It is a figure which shows the movement locus | trajectory of a subject acquired with the position information server host. It is a figure which shows the movement state of the subject within predetermined time along a time series. It is a flowchart which shows the flow of a mispositioning detection by a human position data processing server host. It is a figure for demonstrating the accuracy used for an erroneous positioning detection. It is a figure which shows an incorrect positioning determination threshold value table. It is a figure for demonstrating the process (the 3) based on 1st Embodiment. It is a flowchart which shows the flow of a process of the process (the 3) based on 1st Embodiment. It is a figure for demonstrating the moving method of a time window. It is FIG. (1) for demonstrating another example of the accuracy used for erroneous positioning detection. It is FIG. (2) for demonstrating another example of the accuracy used for erroneous positioning detection. It is a figure which shows schematically the structure of the position information processing apparatus which concerns on 2nd Embodiment. It is a figure for demonstrating the specific example of the process (the 1) which concerns on 2nd Embodiment.

Explanation of symbols

20 position data processing server host 21 position information acquisition unit 22 erroneous positioning detection unit 23 erroneous positioning processing unit 24 position information storage unit 200 position information processing apparatus

Claims (18)

Position information acquisition means for acquiring position information indicating a change in position of the individual;
A position information processing apparatus comprising: an erroneous positioning detection unit that detects an erroneous positioning of the position information acquired by the position information acquisition unit based on data relating to the movement characteristics of the individual. The position information acquisition apparatus according to claim 1, wherein the position information acquisition unit specifies an area where the individual is detected from a plurality of areas where the individual can exist. The data regarding the movement characteristics of the individual is reference information regarding the movement frequency between the areas,
The erroneous positioning detection means detects erroneous positioning based on the movement frequency between the areas of the individual derived from the position information acquired by the position information acquisition means and the reference information. The position information processing apparatus according to claim 2. The data on the movement characteristics of the individual is information on a path between the areas where the individual cannot move,
4. The position information processing apparatus according to claim 2, wherein the erroneous positioning detection unit detects the erroneous positioning based on a numerical value derived from the number of non-movable paths. The said incorrect positioning detection means detects the said incorrect positioning based on the number or ratio of the said non-movable path | route included in the movement path | route of the said individual within the predetermined time. Position information processing device. The data regarding the movement characteristics of the individual is threshold information regarding entropy indicating the ambiguity of the position of the individual between two or more areas,
6. The erroneous positioning detection unit detects the erroneous positioning based on entropy derived from the position information acquired by the position information acquisition unit and the threshold information. The position information processing apparatus according to claim 1. The threshold information is individually set for a combination of two or more areas,
The erroneous positioning detection means identifies an area group consisting of a plurality of areas where the individual has moved within a predetermined time, and detects the erroneous positioning using threshold information corresponding to the area group. The position information processing apparatus according to claim 6. The processing unit according to any one of claims 1 to 7, further comprising a processing unit that processes and outputs the positional information acquired by the positional information acquisition unit when the erroneous positioning is detected by the erroneous positioning detection unit. The position information processing apparatus described. The processing means derives stay information in an area where the individual can stay from the position information acquired by the position information acquisition means within a predetermined time when the erroneous positioning is detected, and 9. The position information processing apparatus according to claim 8, wherein information indicating that the information is indefinite is added to the individual stay information and output. The processing means derives stay information in an area where the individual can stay from the position information acquired by the position information acquisition means within a predetermined time when the erroneous positioning is detected, and The position information processing apparatus according to claim 8, wherein a numerical value relating to a ratio of staying in each area within the predetermined time is added to the stay information for each area of the individual and output. Reference data supply means for supplying reference data other than data relating to the movement characteristics of the individual to the processing means,
The position information processing apparatus according to claim 10, wherein the processing unit corrects a numerical value related to the staying ratio using the reference data. The reference data includes the total number of individuals staying in the area where the individual is detected, and the number that can be accommodated in this area,
The processing means adds a numerical value obtained by multiplying a numerical value related to the staying rate by a value obtained by dividing the accommodable number by the total number of individuals, and outputs the result by adding to the staying information. 11. The position information processing apparatus according to 11. The reference data includes information regarding an area where the individual cannot be used,
12. The position information processing apparatus according to claim 11, wherein the processing unit outputs a value added to the stay information by setting a numerical value related to a ratio of staying in the unusable area to zero. The reference data includes information on an area where the probability of use by the individual is low,
The processing means adds a numerical value obtained by multiplying a numerical value related to a ratio of staying in the unusable area by a value according to a probability of use to the stay information and outputs the result. 11. The position information processing apparatus according to 11. The processing means compares a numerical value added to the stay information obtained within the predetermined time, and regards an area having the maximum numerical value as an area where the individual has stayed for the predetermined time. The position information processing apparatus according to any one of claims 10 to 14. The said processing means removes the path | route which the said individual cannot move from the movement path | route of the said individual in the said predetermined time, and reconfigure | reconstructs the said individual's movement path | route. Position information processing device. The processing means derives stay information in an area where the individual can stay based on the reconstructed travel route, and within the predetermined time from stay information for each area of the individual within the predetermined time. The position information processing apparatus according to claim 16, wherein a numerical value related to a ratio of staying in each area is calculated, and an area having the maximum numerical value is regarded as an area where the individual has stayed continuously for the predetermined time. . The position information processing apparatus according to any one of claims 8 to 17, further comprising position information storage means for storing information processed by the processing means.

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