JP2019159947A - Matrix measurement system - Google Patents

Abstract

To provide a matrix measurement system that can be used for a target in which a place where a matrix can be formed can be determined beforehand.SOLUTION: The system 1 includes a human sensor 10 for detecting the movement of people installed separately in a plurality of unit compartments formed along the planned stretching direction of the matrix formation in a planned region of the matrix, a data relay terminal 11 which receives the detected data including the detection result of the movement of the person of the human sensor 10, an operation unit 20 that calculates the length of the matrix from the human sensor 10 via communication path C based on the detection data within a predetermined first unit time of the human sensor 10 corresponding to each of the plurality of unit sections received via the data relay terminal 11 by judging the presence and absence of a person in the first unit time judged by the unit section, and calculates the length of the matrix, and each length of the stretching direction of each of the plurality of unit sections of which at least one person is within the length that does not protrude from the unit section in the standing posture.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a queue measuring system for measuring the length of a queue formed at an entrance of a store, an entertainment venue, a ticket window, a public toilet or the like.

  As a matrix measurement system, a system has been proposed in which a matrix is photographed with a camera and the number of people is measured by image processing (for example, Patent Document 1 below).

JP 2005-216217 A

  As mentioned above, when taking a matrix with a camera and measuring the number of people by image processing, it is possible to recognize the number of people in the row after recognizing the row of people forming the matrix by image processing. Image processing is performed. Therefore, there is an advantage that it is possible to cope with image processing even if the position where the matrix is formed is not fixed. However, since the above-described conventional system needs to perform advanced image recognition processing, the system cost increases. In addition, there are many people who are reluctant to take pictures with cameras near public toilets.

  On the other hand, in the case where a long queue is formed in front of the entrance of a store, etc., a place where the queue can be formed in advance is restricted by a rope or the like, and further, a queue is spontaneously formed along the wall. In many cases, the place where the matrix can be formed is fixed. Therefore, in the case where the place where the matrix can be fixed is fixed, it is not necessary to recognize the column of the person who forms the matrix by image processing, so if the length of the matrix can be measured without using any image processing, The system can be simplified and the cost can be reduced, and a wide range of needs for measuring the length of a matrix can be met.

  The present invention has been made in view of the above-described problems, and an object of the present invention is to provide a matrix measurement system that can be used for an object in which a place where a matrix can be formed can be specified in advance.

  In order to achieve the above object, the matrix measurement system according to the present invention provides a matrix measurement system in which a matrix formation planned area is divided into a plurality of unit sections obtained by dividing a matrix formation planned area along a predetermined extension direction of the matrix. A human sensor for detecting movement, a data relay terminal for receiving detection data including a detection result of the human movement of the human sensor from the human sensor via a predetermined communication path, and the data relay terminal. Based on the detection data within the predetermined first unit time of the human sensor corresponding to each of the plurality of unit sections received via the unit presence / absence of the person within the first unit time An arithmetic processing unit that determines the length of each of the plurality of unit partitions, and each length in the extension direction of each of the plurality of unit partitions is standing by at least one person. In the unit ward A first feature that it is not protruding from the inner is greater than or equal length.

  According to the matrix measurement system of the first feature described above, by arranging a plurality of human sensors in a matrix formation scheduled region, the length of the matrix can be simply and without using a camera or an image processing technique. Can be estimated. The detection data includes a detection result of human movement, and a count result obtained by counting the number of detections as the detection result within the first unit time is also included as the detection result. In the present invention, the length of the matrix means the physical length of the matrix along the arrangement direction of the plurality of unit sections, the number of persons existing in the matrix, or both.

  In addition to the first feature described above, the matrix measurement system according to the present invention provides the detection within the first unit time for each unit section received by the arithmetic processing device at a predetermined time point in the immediate vicinity. Based on the data, it is configured to count the continuous number from the top of the matrix of the unit block of the presence determination determined that there is a person, and calculate the length of the matrix based on the continuous number This is the second feature.

  According to the matrix measurement system having the second feature described above, when there is a person unrelated to the matrix behind the matrix at the rear end in the matrix formation scheduled area, the irrelevant The length of the matrix can be calculated by excluding irrelevant people.

  In contrast to the assumption that people in a unit block where human movements are detected by human sensors form a line, people in a unit block behind an empty unit block where no human movement is detected Even if motion is detected, the person behind the empty unit compartment does not form the matrix, based on the assumption that the person forming the matrix should move into the empty unit compartment ahead It can be reasonably judged. For this reason, in the matrix measurement system of the second feature, the number of continuous unit partitions from the top that can be estimated to form a matrix by counting the number of continuous from the top of the matrix of the unit partition of presence determination The length of the matrix can be estimated by counting the length of each unit section or the average number of persons each accommodated in order from the top.

  In addition to the first or second feature, the matrix measurement system according to the present invention is configured so that the arithmetic processing unit detects the person detected by the human sensor within the first unit time based on the detection data. The third feature is that the number of movements detected is compared with a predetermined first reference value to determine the presence / absence of a person within the first unit time for each unit section.

  There may be a case where a matrix is not formed in the area where the matrix is to be formed, and a passerby travels through the part. In such a case, it is unlikely that the person who forms the queue is standing upright in the unit section throughout the first unit time, and the area where the queue is to be formed is usually a passerby. Therefore, it is determined that the number of detected movements of the person forming the matrix within the first unit time is larger than the number of detected movements of the passers-by. Therefore, according to the matrix measurement system having the third feature, by appropriately setting the first reference value according to the characteristics of the matrix formation scheduled area, the unit sections forming the matrix and the passers-by It is possible to more accurately calculate the length of the matrix by distinguishing unit sections that have passed through.

  Furthermore, in the matrix measurement system of the third feature, it is preferable that the first reference value is set for each unit section.

  Even within the same planned formation area, the situation where simple passers-by easily pass through the unit section differs depending on the position and length of the unit section. Therefore, according to the preferred embodiment, the first reference value Is appropriately set in accordance with the characteristics of the unit section, so that the length of the matrix can be calculated more accurately.

  Furthermore, the matrix measurement system according to the first feature is configured such that the arithmetic processing unit repeats the calculation of the length of the matrix every first unit time every first unit time. preferable.

  By repeating the calculation of the matrix length every first unit time, the latest matrix length can be grasped with the time resolution of the first unit time, and the tendency of the matrix length over time can also be grasped. can do.

Further, the matrix measurement system according to the present invention, in addition to any of the first to third features, sets the number of detected human movements detected by each of the human sensors for each first unit time. Or, the human sensor creates the aggregated data totaled for every second unit time obtained by equally dividing the first unit time, or the data relay terminal collectively creates,
The arithmetic processing unit calculates the length of the matrix using the aggregated data for each first unit time or each second unit time as the detection data within the first unit time. The fourth feature is that it is configured.

  Furthermore, according to the matrix measurement system of the fourth feature, the arithmetic processing unit receives the detection results of the movements of the human motions within the first unit time of the plurality of human sensors separately via the data relay terminal. And free from the process of counting. For example, when the human sensor is configured to detect a person's movement in units of one second and the first unit time is one minute, the arithmetic processing unit detects the person's movement every second. There is no need to receive and aggregate the results, for example, by simply receiving the aggregated data already collected by the human sensor or the data relay terminal every first unit time or second unit time, Can be used to calculate the length of As a result, the processing load on the arithmetic processing device is greatly reduced, and the frequency of communication between the data relay terminal and the arithmetic processing device is also greatly reduced.

  Furthermore, in the matrix measurement system of the fourth feature, the human sensor creates the aggregate data separately, and the first unit time or the second unit time when the aggregate data is created is It is preferable that the sensors are synchronized with each other.

  If the aggregated data is the number of detected human movements within the first unit time aggregated by the human sensor, and the first unit time for each human sensor is not synchronized with each other, Since the end time (end time) of each first unit time of the total data for each human sensor used for calculation of the length of the matrix by the arithmetic processing unit is different, the earliest end time of the first unit time is the latest ( The movement of the most recent person detected within the time difference from the end of the first unit time (closest to the calculation processing time point) may not be reflected in the calculation of the matrix length. That is, there is a possibility that the length of the matrix cannot be calculated based on the latest human movement at the time of the calculation process. However, if the first unit time or the second unit time for each human sensor is synchronized with each other, the length of the matrix can be calculated based on the latest human movement at the time of the calculation process.

  Furthermore, in the matrix measurement system according to any one of the first to fourth features, the length of each of the plurality of unit sections in the extending direction is such that at least two adults are standing in the unit section. The length is preferably not longer than the length that does not protrude from the inside.

  In the above preferred embodiment, the maximum number of installed human sensors assumed in the matrix measurement system of the first feature can be reduced, and an increase in equipment cost accompanying an increase in the number of installed sensors can be suppressed. In addition, if the length of each unit section is short, whether the unit section after the gap actually forms a matrix in a case where a matrix is formed with a gap of about one adult in the middle The determination process of whether or not is complicated, but in the above preferred embodiment, the length of each unit section is longer than the length that forms a matrix by opening a gap in the middle, so that the complicated determination process is avoided. it can.

  Furthermore, in the matrix measurement system according to any one of the first to fourth features, when a region where a person crosses is included in a region where the matrix is to be formed, the unit section includes the crossing region. It is preferable that the human sensor is set so as not to detect a human movement in the crossing region.

  Accordingly, it is possible to calculate the length of the matrix while allowing a case where a region where a person crosses is included in the matrix formation scheduled region.

  According to the matrix measurement system according to the present invention, by arranging a plurality of human sensors in a matrix formation scheduled area, the length of the matrix can be easily estimated without using a camera or an image processing technique. can do.

The block diagram which shows typically the structural example in one Embodiment of a matrix measurement system. The top view which shows an example of a matrix measurement object area typically. The top view which shows typically a mode that the formation formation area | region of the matrix was divided | segmented into the some unit division along the extending direction where the matrix is planned. The elevation view which shows typically the example which installed the human sensitive sensor for every unit division. The flowchart which shows an example of the processing content which the arithmetic processing apparatus of a matrix measurement system performs.

  DESCRIPTION OF EMBODIMENTS Hereinafter, embodiments of a matrix measurement system according to the present invention (hereinafter simply referred to as “the present system” as appropriate) will be described in detail with reference to the drawings.

  As shown in FIG. 1, the present system 1 includes a plurality of human sensors 10 and a data relay device for each matrix measurement target area Ri for one or more matrix measurement target areas Ri (i = 1 to n). 11 and is further provided with an arithmetic processing device 20 connected to the n data relay devices 11 so as to be able to transmit and receive data.

  The matrix measurement target area Ri means an area where the formation of one matrix that is a target for which the system 1 calculates the length of the matrix is planned. In each matrix measurement target area Ri, a place where a matrix can be formed is specified in advance. FIG. 2 schematically shows a state in which a row of people (matrix B) is formed along the wall W from one entrance of a store or public toilet as an example of the matrix measurement target area Ri. . In FIG. 2, the maximum extension range of the matrix B assumed in calculating the length of the matrix B is set as a formation planned area of the matrix B, and the formation planned area is a plurality of units along the expected extending direction of the matrix B. FIG. 3 schematically shows a state of division into the sections Aj (j = 1 to m). In the present embodiment, each unit section Aj is formed along a matrix forming surface such as a floor surface or the ground on which people are arranged. Note that the matrix forming surface is not necessarily a horizontal plane, and may be, for example, an inclined surface or a stepped surface.

  The number m of the unit sections Aj is a number determined separately for each matrix measurement target area Ri, and is not necessarily the same number between different matrix measurement target areas Ri. In addition, the length of each unit section Aj in the extending direction (arrangement direction) is not necessarily equal depending on the situation (position and length of the structure such as the wall W) around the region to be formed, It is preferable to be uniform within a certain allowable range (for example, 0 to several tens of cm). In the present embodiment, each length of the unit section Aj is equal to or longer than at least one person (for example, one adult) does not protrude from the unit section Aj in a standing posture, and preferably at least two adults Is longer than the length of the unit section Aj in the standing posture. Here, an adult means a person who is equivalent to an average adult male or female regardless of age, for example, each length of the unit section Aj is a matrix of a target matrix measurement target area Ri. It is only necessary that about 5 to 10 people are extracted from the person who forms the shape, and one or two of them are longer than the length of the unit section Aj in the standing posture. The upper limit of each length of the unit section Aj is determined by the length of the formation scheduled area (matrix size) and the upper limit of the number of human sensors 10 (technical or cost constraints). An aggregate of unit partitions Aj (j = 1 to m) is a formation scheduled area of the matrix B, and the system 1 is one object for calculating the length of the matrix. Note that the frame of each unit section Aj shown in FIG. 3 is shown for easy understanding of the description, and should be displayed on the matrix formation surface (floor surface, etc.) where the matrix B is actually formed. Not in. In addition, the matrix B actually formed may be formed beyond the formation scheduled region.

  As an example, the human sensor 10 is configured by using a commercially available human sensor using a pyroelectric infrared sensor. For example, the human sensor 10 is arranged at intervals of about 1 second to 10 seconds. Changes in the intensity of infrared rays emitted from the human body within the sensing area are detected. Thereby, a person's movement (movement of at least a part of the human body) within the detection area is detected as a change in infrared intensity. In the present embodiment, as an example, each human sensor 10 aggregates human movements detected at intervals of 1 second every predetermined first unit time (for example, 1 minute), and detects each first unit time. The number is transmitted as aggregated data (one embodiment of detection data) to the data relay device 11 via the communication path C every first unit time. In the present embodiment, since the counting for each first unit time is performed in response to the synchronization signal transmitted from the data relay device 11, the first unit time for each human sensor 10 is synchronized with each other. Yes. When the first unit time is 1 minute, the number of detections indicated by the total data for each first unit time is an integer value of 0 to 60. As an example, the first unit time is preferably about 30 seconds to 10 minutes, and if it is too long, the difference between the calculation result and the formation status of the latest matrix B may be large, and thus the first unit time is preferably short. The first unit time is, for example, longer as the length of the matrix B is longer, and shorter as the flow of people in the matrix B is faster, and is preferably adjusted according to the actual situation in the matrix B. Therefore, the first unit time does not need to be set to the same value between the matrix measurement target areas Ri, and may be set for each matrix measurement target area Ri.

  A total of m human sensors 10 are installed in the matrix measurement target area Ri, one for each unit section Aj. As shown in FIG. 4, the human sensor 10 is installed from the upper side of each unit section Aj toward the person of the unit section Aj as an example, and the detection area S of each human sensor 10 is an adjacent unit. It is set so as to fit in the unit section Aj so as not to overlap between the sections Aj. Even if there is a gap between the sensing areas S of the human sensor 10 in the adjacent unit section Aj, it is permissible as long as there is one person in the gap and its movement cannot be detected. In other words, when a person is present in the gap (that is, the boundary between adjacent unit sections Aj), it is acceptable if the motion is reliably detected by one of the human sensors 10 in both unit sections Aj. Is done. When a person is present at the boundary between adjacent unit sections Aj, movement can be detected by the two human sensors 10 in both unit sections Aj, so that the detection areas of the human sensors 10 are adjacent to each other. It may be slightly overlapped on the boundary between the two unit sections Aj. However, if the overlapping range is large, two adjacent unit sections Aj overlap each other, which is not preferable because the calculation accuracy of the matrix length decreases. Further, the sensing area S of each unit section Aj needs to be set so as not to overlap with an area where passersby outside the planned formation area of the matrix adjacent to each unit section Aj.

  When a gap exists between the sensing areas S of the human sensor 10, the boundary between the adjacent unit sections Aj exists in the gap, and when the sensing area S of the human sensor 10 overlaps. , Present in the overlapping part. Therefore, the position of the boundary between adjacent unit sections Aj when defining the length of each unit section Aj is, for example, the center in the extending direction of the matrix of gaps and overlapping portions.

  As an example, one data relay device 11 is installed for each matrix measurement target area Ri. The data relay device 11 collects the aggregated data generated by the human sensor 10 from the plurality of human sensors 10 installed in the corresponding matrix measurement target area Ri via the communication path C in the first unit time (for example, Every 1 minute), aggregated data for each human sensor is collected for the number of human sensors 10, and is calculated for each first unit time via a predetermined communication path D as total data for each area. It is configured to forward to device 20. The tabulated data for each area is configured so that the corresponding unit section Aj of the tabulated data for each human sensor can be identified, and further, the corresponding data relay device 11 or the matrix measurement target area Ri of the tabulated data for each area can be identified. Yes. Note that the data relay device 11 is not necessarily installed in the matrix measurement target area Ri, and the installation location is within a range in which communication with each human sensor 10 is possible via the communication path C. It is not limited to a specific place.

  The data relay device 11 includes a first communication device 11a capable of receiving aggregate data by a communication method corresponding to the communication path C, a storage device 11b that temporarily stores aggregate data for each human sensor, and a communication path D. A second communication device 11c that collects and transmits aggregate data for each human sensor using a corresponding communication method and a control unit 11d that controls transmission / reception and storage of the aggregate data are configured. The storage device 11b is, for example, an HDD (hard disk drive) and an SSD (solid state disk), or a recording device capable of recording data in a nonvolatile manner such as a nonvolatile semiconductor memory having a capacity necessary for temporary storage of total data. The control unit 11d is configured using, for example, a microcomputer. Although the data relay device 11 is illustrated as one device in FIG. 1, the first communication device 11a is configured as a communication master unit of the human sensor 10, and the storage device 11b and the second communication device are configured. 11c and the control unit 11d are connected to a communication path D such as a local area LAN (wired LAN or Wi-Fi) installed in an area such as a commercial facility, a university campus, or a station campus where a plurality of matrix measurement target areas Ri exist. It may be an embodiment configured as a part of a connectable computer.

  The communication path C between the human sensor 10 and the data relay device 11 may be either a wired communication path or a wireless communication path. However, if the degree of freedom in selecting the installation location of the human sensor 10 is taken into consideration, the communication path C may be a wireless communication path. Preferably, for example, a specific low power wireless, Wi-Fi (IEEE802.11 standard wireless LAN), or a wireless communication path using a wireless communication method such as Bluetooth (registered trademark) can be used.

  The arithmetic processing device 20 includes a data transmitting / receiving unit 21, a data storage unit 22, and an arithmetic processing unit 23.

  The data transmission / reception unit 21 is configured to include an existing communication device that transmits / receives data to / from each of the data relay devices 11 through the communication route D by a predetermined communication method corresponding to the communication route D.

  The data storage unit 22 includes, for example, a recording device capable of recording a large amount of data in a non-volatile manner, such as an HDD and an SSD, and can write, read, and search data under the control of the arithmetic processing unit 23. It is configured.

  The arithmetic processing unit 23 is configured as a computer system including, for example, an arithmetic device such as a CPU (Central Processing Unit) and a storage device such as a semiconductor memory. The arithmetic processing unit 23 performs processing for calculating the length of the matrix formed in each matrix measurement target area Ri in the manner described below. The calculation process is executed when a program code of a computer program describing specific processing contents is stored in a predetermined storage area of the storage device of the arithmetic processing unit 23, and the arithmetic device executes the program. The

  Next, matrix length calculation processing performed by the arithmetic processing unit 23 will be described with reference to FIG. In the following description, the processing content for one matrix measurement target area Ri will be described, but the same applies to other matrix measurement target areas Ri. In the following description, each length of the unit section Aj is equal to or longer than the length that at least two adults do not protrude from the unit section Aj in the standing posture. A case is assumed in which the data value (the number of detections) is an integer value of 0 to 60, which is data obtained by tabulating detected human movements every first unit time (1 minute).

  First, as a pre-processing of the matrix length calculation process, the arithmetic processing unit 23 counts by area transmitted from the data relay device 11 of each matrix measurement target area Ri via the communication path D every first unit time. Data is received for each first unit time via the data transmitting / receiving unit 21, and the matrix measurement target area Ri and the unit area Aj can be identified, and the total data for each human sensor in the total data for each area is stored as data. Stored in the unit 22. The data storage process is periodically executed for each matrix measurement target area Ri for each first unit time set for each matrix measurement target area Ri independently of the following matrix length calculation process. .

  When the calculation process of the matrix length starts, the arithmetic processing unit 23 sets a variable j indicating the order of the unit sections Aj to 1 (step # 1). Subsequently, the data value x (j) of the aggregated data of the unit section Aj is read from the data storage unit 22, and the data value x (j) is greater than or equal to a reference value ref (i) set in advance for each matrix measurement target area Ri. (Step # 2), and if x (j) ≧ ref (i) (YES branch of step # 2), it is determined that there is a person in unit partition Aj to form a matrix (present). (Determination), 1 is added to the variable j (step # 3), and the process returns to step # 2. If x (j) <ref (i) in the determination in step # 2 (NO branch in step # 2), it is determined that there is no person who forms a matrix in the unit partition Aj (absence determination). Move to # 4.

  In step # 4, when j = 1, the length of the matrix is set to 0. When j ≧ 2, each unit partition is determined for the unit partitions Aj from 1 to the (j−1) th presence determination. The length of the matrix (physical length, number of persons) is calculated by adding the length of Aj in the extending direction and the average number of persons each accommodated separately. Note that the length of the matrix to be calculated may be either the physical length or the number of people. Alternatively, after calculating the length of the matrix (physical length), the length of the matrix (number of people) may be calculated from the physical length.

  Subsequently, the arithmetic processing unit 23 stores the calculated matrix length in the data storage unit 22 so that the date and time of the first unit time to be calculated and the matrix measurement target area Ri can be identified (step # 5). The calculation result of the length of the matrix stored in the data storage unit 22 is, for example, in response to the browsing request for the calculation result, the arithmetic processing unit 23 sends the browsing request from the data transmission / reception unit 21 via the communication path D. To the external terminal that performed (output processing). When the output process is performed toward an external terminal directly connected to the communication path D, the output process is further performed via an external data communication network such as the Internet connected to the communication path D via a predetermined communication device. In addition, various embodiments are envisaged, for example, when the process is performed toward an external terminal. Since the output processing is not the main content of the processing contents of the system 1, detailed description thereof is omitted. As another embodiment, instead of the output process, an authorized external terminal directly connected to the communication path D directly accesses the data storage unit 22 of the present system 1 to obtain the required matrix length. There may be an embodiment in which the calculation result is read.

  When the processing of step # 5 is completed, the arithmetic processing unit 23 stores the total data for each area of the next first unit time transmitted from the data relay device 11 in the data storage unit 22 in the data storage process. Then, the calculation process of the matrix length of the next first unit time is started.

  The following six patterns are assumed as state transitions between two first unit times that are related to the presence or absence of a person in each unit section Aj. Here, a state in which a person who forms a matrix in the unit section Aj exists at the end (end point) of the first unit time is referred to as “state 1”, and a state where the person does not exist is “state 0”.

First pattern: State 1 to state 1 (no movement of a person between the front and rear unit sections Aj).
Second pattern: from state 1 to state 1 (with movement of a person between the front and rear unit sections Aj).
Third pattern: State 1 to state 0 (a person outflow to the front unit section Aj).
Fourth pattern: State 0 to State 1 (at least one person is fixed after a new person flows in).
-Fifth pattern: State 0 to state 0 (everyone has flowed out after a new inflow).
6th pattern: State 0 to state 0 (no movement in unattended state)

  In step # 2, if ref (i) = 1 and x (j) ≧ ref (i), it becomes one of five patterns (first to fifth patterns) other than the sixth pattern, and x ( j) If ref (i), the sixth pattern is obtained.

  Here, if it is considered that the presence / absence determination result of the unit section Aj is a determination result at any point in time within the target first unit time, that is, the length of the calculated matrix is the first unit. If the possibility of not necessarily coincident with the matrix at the end of time or the calculation processing start time is allowed, the unit section Aj to be present is within the allowable range regardless of which of the first to fourth patterns. For this reason, it is preferable that the unit section Aj of the fifth pattern can be excluded by the absence determination by adjusting the reference value ref (i). As an example of the fifth pattern, a case may be assumed in which a person has flowed into an unattended unit section Aj on the back side while a person newly flows into the last unit section Aj of the matrix. The

  In the first pattern, it is unlikely that a person is upright and stationary at the same position throughout the first unit time. In particular, if there are two or more persons in the unit section Aj, one person may be moving. Therefore, it is reasonable to think that the data value x (j) is approximately two-thirds or more of the maximum value 60, or approximately three-quarters or more. In the second pattern, it is reasonable to consider that the data value x (j) is larger than the first pattern because it involves the movement of a person.

  In the case of the third pattern and the fourth pattern, the data value x (j) varies greatly depending on when the person flows out or the person flows in within the first unit time. If the reference value ref (i) is set to be large, x (j) <ref (i) when the stay time in the unit section Aj is short, and there is no person who forms a matrix in the unit section Aj. The probability of being judged increases.

  As described above, the fifth pattern corresponds to a case where a person passes through the unit section Aj as described above. Therefore, if it is not assumed that a person always passes through the first unit time, the reference value ref If (i) can be set to about one third to one half of the maximum value (60) of the data value x (j), it can be considered that it can be sufficiently eliminated. If the reference value ref (i) is set to be large, the probability that the fifth pattern can be eliminated increases, while the probability that the third pattern and the fourth pattern are eliminated also increases. It is preferable to set for each unit section Aj depending on whether or not human traffic is easy. For example, it may be determined that it is difficult for a person to pass through a deep area from the unit sections A4 to A11 shown in FIG. 3, and the reference value ref (i) may be set higher than the other unit sections Aj. That is, it is preferable to set the reference value ref (i) as the reference value ref (i, j) for each unit section Aj in consideration of ease of passage. In this case, the reference value ref (i, j) is stored in advance in a storage area in the data storage unit 22 or the arithmetic processing unit 23, and collectively before starting the matrix length calculation process, or Along with reading of the data value x (j) in step # 2, it is read out and used for comparison with the data value x (j) in step # 2.

  Further, as a method for setting the reference value ref (i, j) for each unit section Aj, the time series change of x (j) of the aggregated data of the past target unit section Aj is searched, and 1 With reference to the maximum value or mode value of x (j) when x (j) is higher than x (j) in the first unit time before and after the first unit time, for example, The reference value ref (i, j) of the unit section Aj may be set so as to be a value slightly higher than the maximum value or the mode value. In this case, it is preferable because the influence of a heat source other than a person can be eliminated in addition to the movement of the person.

  Considering the above comprehensively, the reference value ref (i) is preferably set as the reference value ref (i, j) for each unit section Aj, and is preferably set to a value larger than 1, for example, the data value x It is preferable to set for each unit section Aj within a range of about 10% to 90% of the maximum value of (j).

[Another embodiment]
Next, a modification of the above embodiment will be described.

  <1> In the above embodiment, in the matrix length calculation processing, one procedure for performing the processing from step # 1 to step # 5 shown in FIG. 5 has been described. However, at least one of the lengths of the unit section Aj is described. On the other hand, if at least two adults described above are shorter than the length that does not protrude from the unit section Aj in the standing posture, the short unit section Aj may be a gap that is formed in the middle of the matrix and may be absent. is there. In this case, since the unit section Aj behind the gap is not a target of processing from step # 1 to step # 5 shown in FIG. 5, some relief means is necessary.

  As an example of the remedy, the arithmetic processing unit 23 determines whether or not the length of the unit block Aj for the absence determination is shorter than a predetermined reference length before proceeding to Step # 4 after the NO branch of Step # 2. If it is shorter, 1) perform the same process as the process after the YES branch in step # 2, or 2) lower the reference value ref (i) for the unit block Aj of the absence determination and repeat step #. The determination of 2 is performed. On the other hand, if it is long, it may be possible to add a process such as moving to step # 4.

  As another example of the remedy means, the reference value ref (i) of the unit section Aj whose length of the unit section Aj is shorter than a predetermined reference length is set low in advance, and other units positioned before and after the gap A process in which a person who is in the section Aj temporarily detects the movement of the person sensor 10 in the unit section Aj of the gap is temporarily picked up as a presence determination is performed. This is the same as the processing content of 2) of the rescue means exemplified above. This is also an example in which the above-described reference value ref (i) is set as the reference value ref (i, j) for each unit section Aj.

  Note that, as in the above embodiment, if each unit section Aj is longer than at least two adults in a standing posture and does not protrude from the unit section Aj, one unit section Aj is in the middle of the matrix. In this case, it is difficult to assume a case where there is a gap that can be made, and thus it is considered that the above-described relief means is not necessarily required.

  <2> In the above embodiment, in the matrix length calculation process, after the process from step # 1 to step # 5 shown in FIG. 5 is completed, the matrix length calculation process for the next first unit time is performed. However, the calculation processing unit 23 does not voluntarily repeat the calculation process, but is designated after receiving an execution request for the calculation process from the outside. The calculation processing may be performed for one or more first unit times within the time range, and the length of the processing result matrix may be output to the transmission source of the execution request.

  <3> In the above embodiment, the case where the first unit time for each human sensor 10 is synchronized with each other has been described. However, the first unit time for each human sensor 10 is not necessarily synchronized with each other. It does not have to be. In this case, the data relay device 11 does not transmit a synchronization signal to each human sensor 10, and the aggregate data for each human sensor transmitted asynchronously from each human sensor 10 is stored separately for each storage device 11 b. The total data for each human sensor that has been temporarily stored and collected up to immediately before is collected for the number of human sensors 10, and is calculated as data for each area via the communication path D every first unit time. Transfer to device 20. Since the first unit time for each human sensor 10 is not synchronized, there is a time difference in the last period of each first unit time of the total data for each human sensor in the total data for each area. The detection result of the human movement that occurs between the end of the period and the transmission time of the total data for each area is not reflected in the matrix length calculation process of the arithmetic processing unit 23. However, if there is a unit block Aj + 1 that is determined to exist after the unit block Aj that is determined to be present, that is, except for the unit block Aj at the end of the matrix, transmission of aggregate data by region from the end of the first unit time Since there is a high probability that the presence determination is maintained until the time point, it is considered that no problem is substantially caused. However, the presence / absence determination of the unit partition Aj at the end of the matrix is performed within the first unit time immediately before the transmission time of the aggregate data for each area even if the presence determination is performed within the first unit time of the unit partition Aj. Since the possibility of the absence determination cannot be denied when the above is performed, the accuracy of the matrix length calculation process decreases.

  <4> In the above-described embodiment, a case has been described in which each human sensor 10 generates aggregated data for each human sensor. However, each human sensor 10 detects a human motion at intervals of 1 second, for example. A detection signal indicating the result is transmitted to the data relay device 11 each time it is detected, and the data relay device 11 side totals the detection signal for each first unit time, and collects data for each human sensor. May be generated. In this case, since the total data for each human sensor is generated on the data relay device 11 side, the first unit time for each human sensor 10 is necessarily synchronized with each other.

  <5> In the above-described embodiment, a case has been described in which each human sensor 10 generates aggregate data for each human sensor every first unit time. However, each human sensor 10 is different for each human sensor. The aggregated data may be generated every second unit time obtained by equally dividing the first unit time, and transmitted to the data relay device 11 each time. For example, when the first unit time is 1 minute, for example, 30 seconds, 20 seconds, 15 seconds, 12 seconds, 10 seconds, etc. are assumed as the second unit time. In this case, the data relay device 11 temporarily stores the total data for each human sensor in the second unit time unit transmitted from each human sensor 10 every second unit time in the storage device 11b. Then, for each first unit time, the total data for the second unit time unit saved by the second unit time unit is summarized for the first unit time, and further, the total number of the human sensor 10 is collected for each area. Create aggregate data.

  Here, as with the first unit time of the above embodiment, it is preferable that the second unit time for each human sensor 10 is also synchronized with each other. On the other hand, the synchronization signal is not transmitted, and the second unit time for each human sensor 10 is not necessarily synchronized with each other. In this case, since the second unit time for each human sensor 10 is not synchronized, the first unit time for each human sensor 10 is not synchronized with each other, but the end of the first unit time of each unit section Aj. The maximum time difference from the time when the aggregated data for each area is sent is one half, one third, one fourth, and five minutes compared to the case where the aggregated data is in the first unit time unit. 1 or 1/6, etc., so that the deterioration of the calculation processing accuracy of the length of the matrix due to the asynchronous transmission / reception of the total data for each human sensor is greatly suppressed. .

  Note that when the aggregate data for each human sensor is in the second unit time unit, the arithmetic processing unit 23 may perform the matrix length calculation process for each second unit time.

<6> In the above embodiment, a passive sensor using a pyroelectric infrared sensor is exemplified as the human sensor 10, but the human sensor 10 is limited to the structure and type described in the above embodiment. Not. For example, it may be a sensor having a structure and type that detects the movement of a person by irradiating an electromagnetic wave such as infrared rays or an ultrasonic wave toward the detection target from the human sensor 10 and receiving a reflected wave thereof.
<7> In the above embodiment, the formation planned region of the matrix B is divided into a plurality of unit sections Aj (j = 1 to m) along the planned extending direction of the matrix B. As shown in FIG. Each unit section Aj is divided so as to be continuous without a gap. However, when the region where the person crosses is included in the formation region of the matrix B, one or more unit sections Aj including the crossing region are arranged avoiding the crossing region, that is, the crossing region is It is preferable that the two unit sections Aj and Aj + 1 are disposed discontinuously with being sandwiched. In this case, it is preferable that the human sensor 10 in any unit section Aj is installed so that the sensing area does not overlap with the crossing region, or each sensing area is adjusted.

  <8> In the above embodiment, a case has been described in which one data relay apparatus 11 is provided for each matrix measurement target area Ri. However, one data relay apparatus 11 is shared among a plurality of matrix measurement target areas Ri. May be. In this case, since the area-specific aggregated data received by the arithmetic processing unit 23 cannot identify the matrix measurement target area Ri simply by identifying the data relay apparatus 11, the area-based aggregated data is subjected to matrix measurement on the data relay apparatus 11 side. It is necessary to create the target area Ri so that it can be identified.

  <9> In the above embodiment, the case where the present system 1 targets one or more matrix measurement target areas Ri (i = 1 to n) has been described. However, the present system 1 includes one matrix measurement target area R1. You may comprise only for. In this case, since the data relay device 11 and the arithmetic processing device 20 have a one-to-one relationship, the data relay device 11 and the arithmetic processing device 20 do not necessarily have to be connected via the communication path D. For example, a part or all of the data relay device 11 may be configured integrally with the arithmetic processing device 20. For example, the storage device 11b of the data relay device 11 and the data storage unit 22 of the arithmetic processing device 20 are made common, the control unit 11d of the data relay device 11 and the arithmetic processing unit 23 of the arithmetic processing device 20 are made common, and the data relay device 11 The second communication device 11c may be omitted. In this case, the data transmission / reception unit 21 of the arithmetic processing unit 20 is used for output processing of the matrix length calculation result.

  This system can be used for a queue measuring system that measures the length of a queue that can be formed at an entrance of a store, an event hall, a ticket window, a public toilet, or the like.

DESCRIPTION OF SYMBOLS 1: Matrix measurement system 10: Human sensor 11: Data relay apparatus 11a: 1st communication apparatus 11b: Storage apparatus 11c: 2nd communication apparatus 11d: Control part 20: Arithmetic processing apparatus 21: Data transmission / reception part 22: Data storage part 23: Arithmetic processing unit A1 to An: Unit section B: Matrix C, D: Communication path R1 to Rn: Matrix measurement target area S: Sensing area W: Wall

Claims (9)

A human sensor for detecting the movement of a person separately installed in a plurality of unit sections obtained by dividing a formation planned area of the matrix along a predetermined extending direction of the matrix;
A data relay terminal that receives detection data including a detection result of the human movement of the human sensor from the human sensor via a predetermined communication path;
Based on the detection data within the predetermined first unit time of the human sensor corresponding to each of the plurality of unit sections received via the data relay terminal, the presence of a person within the first unit time is determined. An arithmetic processing device that determines absence by unit block and calculates the length of the matrix,
The matrix measurement system, wherein each length of the plurality of unit sections in the extending direction is equal to or longer than a length where at least one person does not protrude from the unit section in a standing posture.   Based on the detection data within the first unit time for each unit section received at the predetermined time point at the predetermined time point, the arithmetic processing unit determines the presence of the unit section of the presence determination unit. 2. The matrix measurement system according to claim 1, wherein the matrix measurement system is configured to count a continuous number from the head of the matrix and calculate a length of the matrix based on the continuous number.   Based on the detection data, the arithmetic processing unit compares the number of detections of the person's movement detected by the human sensor within the first unit time with a predetermined first reference value, and then compares the first reference value with the first reference value. 3. The matrix measurement system according to claim 1, wherein presence / absence of a person within a unit time is determined for each unit section.   The matrix measurement system according to claim 3, wherein the first reference value is set for each unit section.   5. The matrix measurement system according to claim 1, wherein the arithmetic processing device is configured to repeat the calculation of the length of the matrix every first unit time. 6. Aggregated data obtained by aggregating the number of detected human movements detected by each of the human sensors every first unit time or every second unit time obtained by equally dividing the first unit time, Each sensor or each data relay terminal creates at once,
The arithmetic processing unit calculates the length of the matrix using the aggregated data for each first unit time or each second unit time as the detection data within the first unit time. The matrix measurement system according to claim 1, wherein the matrix measurement system is configured.   The human sensor creates the total data separately, and the first unit time or the second unit time when the total data is generated is synchronized between the human sensors. The matrix measurement system according to claim 6.   8. The length of each of the plurality of unit sections in the extending direction is equal to or longer than at least two adults that do not protrude from the unit section in a standing posture. Matrix measurement system described in 1. When a region where a person crosses is included in the formation planned region of the matrix, the unit section is set not to include the crossing region,
The matrix measurement system according to claim 1, wherein the human sensor is installed so as not to detect movement of a person in the crossing region.

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