CN111615047B - Method and device for real-time passenger flow statistics, storage medium and electronic equipment - Google Patents
Method and device for real-time passenger flow statistics, storage medium and electronic equipment Download PDFInfo
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- CN111615047B CN111615047B CN201910398874.XA CN201910398874A CN111615047B CN 111615047 B CN111615047 B CN 111615047B CN 201910398874 A CN201910398874 A CN 201910398874A CN 111615047 B CN111615047 B CN 111615047B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
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Abstract
The invention provides a method, a device, a storage medium and electronic equipment for real-time passenger flow statistics, wherein the method comprises the following steps: acquiring first terminal information acquired by first detection equipment in real time; determining a first distance according to the first signal strength, and taking the target terminal as an effective terminal related to the first detection equipment when the first distance is smaller than a preset distance; and counting all effective terminals related to the first detection equipment in real time, generating terminal statistical information in real time according to timestamps in the terminal information of the effective terminals, and taking the terminal statistical information as passenger flow statistical information related to the first detection equipment. The method, the device, the storage medium and the electronic equipment for real-time passenger flow statistics can accurately perform real-time statistics on terminals around the detection equipment, generate passenger flow statistics information for the statistics granularity by the detection equipment, make the statistics granularity more accurate, effectively avoid repeated acquisition of the number of the terminals, and make the statistics result more accurate.
Description
Technical Field
The invention relates to the technical field of real-time passenger flow statistics, in particular to a method and a device for real-time passenger flow statistics, a storage medium and electronic equipment.
Background
The passenger flow is purposeful flow formed by people with the help of various vehicles in order to realize various travel activities, and comprises flow, flow direction, flow time and other elements.
The urban hot spot areas such as airports, railway stations, passenger stations, ports, commercial streets, sports facilities, scenic spots and the like have the characteristic of large passenger flow, and the regularity of the passenger flow is mastered, so that the method is the basis for reasonably organizing passenger transportation work. And it is generally thought that the passenger flow represents business opportunities to some extent, and the analysis of the passenger flow in these areas is also of great commercial significance.
The existing passenger flow collection and monitoring mode mainly comprises manual collection and equipment collection. The manual collection mode requires workers to observe and record passenger flow, and wastes time and labor; the mode of equipment acquisition generally mainly depends on technologies such as video monitoring, video identification, heat sensitivity, infrared and gate machines, the result acquired by the equipment such as the video monitoring is inaccurate and can be acquired repeatedly, and the gate machines can only acquire the passenger flow at a fixed entrance and cannot accurately detect the details of the passenger flow in the area.
Disclosure of Invention
To solve the foregoing problems, embodiments of the present invention provide a method, an apparatus, a storage medium, and an electronic device for real-time passenger flow statistics.
In a first aspect, an embodiment of the present invention provides a method for real-time passenger flow statistics, including:
acquiring first terminal information acquired by first detection equipment in real time, wherein the first terminal information comprises first signal strength, a timestamp and an MAC address;
taking a terminal corresponding to the MAC address as a target terminal, determining a first distance according to the first signal strength, and taking the target terminal as an effective terminal related to the first detection equipment when the first distance is smaller than a preset distance, wherein the first distance is the distance between the target terminal and the first detection equipment;
counting all effective terminals related to the first detection equipment in real time, wherein different effective terminals correspond to different MAC addresses, generating terminal statistical information in real time according to timestamps in terminal information of the effective terminals, and taking the terminal statistical information as passenger flow statistical information related to the first detection equipment; the terminal statistical information comprises one or more items of the stay time of the effective terminals, the number of the effective terminals at the time of time stamp, the total number of the effective terminals in a preset time period and the peak value of the number of the effective terminals in the preset time period.
In a second aspect, an embodiment of the present invention further provides a device for real-time passenger flow statistics, including:
the first real-time acquisition module is used for acquiring first terminal information acquired by first detection equipment in real time, wherein the first terminal information comprises first signal strength, a timestamp and an MAC address;
a processing module, configured to determine a first distance according to the first signal strength by using a terminal corresponding to the MAC address as a target terminal, and use the target terminal as an effective terminal related to the first detection device when the first distance is smaller than a preset distance, where the first distance is a distance between the target terminal and the first detection device;
the statistical module is used for counting all effective terminals related to the first detection equipment in real time, wherein different effective terminals correspond to different MAC addresses, terminal statistical information is generated in real time according to timestamps in terminal information of the effective terminals, and the terminal statistical information is used as passenger flow statistical information related to the first detection equipment; the terminal statistical information comprises one or more items of the stay time of the effective terminals, the number of the effective terminals at the time of time stamp, the total number of the effective terminals in a preset time period and the peak value of the number of the effective terminals in the preset time period.
In a third aspect, an embodiment of the present invention further provides a computer storage medium, where the computer storage medium stores computer-executable instructions, and the computer-executable instructions are used in any one of the above methods for real-time passenger flow statistics
In a fourth aspect, an embodiment of the present invention further provides an electronic device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any of the methods of real-time passenger flow statistics described above
In the solution provided by the first aspect of the embodiments of the present invention, the detection device may be used to acquire terminal information of terminals around the detection device in real time, and may determine a distance between the terminal and the detection device, so as to determine a number of terminals near the detection device more accurately, and may obtain statistical information of the terminal through statistics, so as to determine statistical information of passenger flow around the detection device. The method can acquire the terminal information in real time, and can accurately count the terminals around the detection equipment in real time so as to generate the passenger flow statistical information for the statistical granularity by the detection equipment, and the statistical granularity is more accurate. The MAC address is used as the unique identifier of the equipment, so that the repeated acquisition of the number of the terminals can be effectively avoided, and the statistical result is more accurate.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart illustrating a method for real-time passenger flow statistics provided by an embodiment of the invention;
FIG. 2 is a flow chart illustrating the determination of the location of a target terminal in the method for real-time passenger flow statistics according to the embodiment of the present invention;
FIG. 3 is a diagram illustrating a determination of a target terminal location provided by an embodiment of the invention;
FIG. 4 is a schematic structural diagram of an apparatus for real-time passenger flow statistics according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device for performing a method for real-time passenger flow statistics according to an embodiment of the present invention.
Detailed Description
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly specified or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The method for real-time passenger flow statistics provided by the embodiment of the invention is shown in fig. 1, and comprises the following steps:
step 101: the method comprises the steps of acquiring first terminal information acquired by first detection equipment in real time, wherein the first terminal information comprises first signal strength, a timestamp and an MAC address.
In an embodiment of the present invention, the first detection device is a detection device, and is disposed in a predetermined place or a predetermined area, such as inside a passenger station, and a plurality of detection devices may be installed in one predetermined area. In this embodiment, the detection device may be a WiFi probe, and the MAC (Media Access Control) address and the signal strength of the surrounding terminal may be acquired through the WiFi probe.
Specifically, the WiFi probe may periodically broadcast and send a probe frame (Beacon frame) to all around, and then may receive a response frame fed back by the terminal. The response frame includes a MAC address of the terminal, and the terminal may determine a Received Signal Strength Indication (RSSI) of the Beacon frame, and the response frame also includes the Signal Strength. Therefore, the terminal information fed back by the terminal can be acquired through the WiFi probe. Meanwhile, the timestamp in the terminal information may be the time when the terminal feeds back the terminal information, or the time when the detection device acquires the terminal information, which is not limited herein. The WiFi probe in the embodiment collects terminal information under the condition that privacy of a user is not violated.
Step 102: and when the first distance is smaller than the preset distance, the target terminal is taken as an effective terminal related to the first detection equipment, and the first distance is the distance between the target terminal and the first detection equipment.
In the embodiment of the invention, a plurality of terminals may exist around the first detection device, and each terminal can feed back corresponding terminal information; because the terminal and the MAC address are in one-to-one correspondence, the MAC address can be used as the unique identifier of the terminal. When the terminal needs to be statistically analyzed, the terminal can be determined by the MAC address, that is, the terminal corresponding to the MAC address is used as the target terminal. Meanwhile, the signal intensity in the terminal information is the signal intensity of a detection frame received by the terminal when the detection frame is sent to the terminal by the detection equipment; the greater the signal strength, the closer the terminal is to the detection device. Therefore, the distance between the target terminal and the first detection device, i.e. the first distance, can be determined by the first signal strength in the first terminal information fed back by the target terminal.
In addition, the detection device may have a large detection range, for example, a WiFi probe may detect terminals within 50-100 meters of the surroundings. In order to more accurately determine the terminals located around the first detection device, in the embodiment, the terminals with the first distance smaller than the preset distance are taken as the valid terminals related to the first detection device, that is, the valid terminals are the terminals close enough to the first detection device. The preset distance may be determined according to actual conditions, such as 10 meters, 20 meters, and the like.
Optionally, because there may be other detection devices around the first detection device, if other detection devices may also acquire the terminal information of the target terminal, the distance between the target terminal and the other detection devices may be determined according to the signal strength in the terminal information, and when the first distance is smaller than the preset distance and the first distance is smaller than the distances between the target terminal and all other detection devices, the target terminal is used as an effective terminal related to the first detection device. If some other detection device a exists, and the distance between the target terminal and the detection device a is smaller than the first distance, the target terminal is an effective terminal of the detection device a.
Step 103: counting all effective terminals related to the first detection equipment in real time, wherein different effective terminals correspond to different MAC addresses, generating terminal statistical information in real time according to timestamps in terminal information of the effective terminals, and taking the terminal statistical information as passenger flow statistical information related to the first detection equipment; the terminal statistical information comprises one or more items of dwell time of the effective terminals, the number of the effective terminals at the time of the timestamp, the total number of the effective terminals in a preset time period and the peak value of the number of the effective terminals in the preset time period.
In the embodiment of the invention, a plurality of terminals exist around the first detection device, the distance between the terminal and the detection device can be determined according to the signal intensity in the terminal information fed back by the terminal, when the distance is smaller than the preset distance, the terminal is taken as an effective terminal related to the first detection device, further all effective terminals related to the first detection device are determined, and at the moment, the terminal statistical information can be generated according to the terminal information of all effective terminals. Specifically, in this embodiment, the terminal information may be collected in real time, so that for an effective terminal, the retention time of the effective terminal around the first detection device may be determined according to the timestamp in the terminal information fed back by the effective terminal. For example, the first detection device acquires the terminal information fed back by the valid terminal a for the first time at 13:05 (the timestamp in the terminal information is 13:05), and at this time, it may be determined that the valid terminal a enters the vicinity of the first detection device at 13: 05; similarly, if the first detection device acquires the terminal information fed back by the effective terminal a for the last time in a ratio of 13:45, it may be determined that the effective terminal a is far away from the first detection device in a ratio of 13:45, that is, the retention time of the effective terminal a is 45 minutes. Similarly, the timestamp is a time point, and for a specific timestamp (for example, 13:05), it may be counted how many terminal information fed back by the terminals is collected by the first detection device, where the timestamp is 13:05, that is, the number of valid terminals detected by the first detection device at the time of the timestamp (i.e., 13:05) may be determined. In addition, based on the terminal information, it may also be determined how many terminals have approached the first probe device in a preset time period, that is, how many terminals have a distance to the first probe device smaller than a preset distance, so as to determine the total number of valid terminals in the preset time period; and the peak value of the number of effective terminals can be determined according to the number of effective terminals in different timestamps. In the embodiment of the present invention, it is approximately considered that one terminal corresponds to one customer, that is, the terminal statistical information may be taken as the passenger flow statistical information on the passenger flow, and correspondingly, the passenger flow statistical information includes one or more of the staying time of the customer around the first detection device, the number of customers around the first detection device at the time of the time stamp, the total number of customers around the first detection device within the preset time period, and the peak value of the number of customers around the first detection device within the preset time period.
According to the method for real-time passenger flow statistics, the detection equipment is utilized to collect terminal information of surrounding terminals in real time, the distance between the terminal and the detection equipment can be determined, the number of the terminals near the detection equipment can be accurately determined, statistical information of the terminals can be obtained through statistics, and then the passenger flow statistical information around the detection equipment is determined. The method can acquire the terminal information in real time, and can accurately count the terminals around the detection equipment in real time so as to generate the passenger flow statistical information for the statistical granularity by the detection equipment, and the statistical granularity is more accurate. The MAC address is used as the unique identifier of the equipment, so that the repeated acquisition of the number of the terminals can be effectively avoided, and the statistical result is more accurate.
On the basis of the above embodiment, after "regarding the target terminal as the valid terminal associated with the first probe device" in step 102, the method further includes:
step A1: and determining the MAC address of the effective terminal according to the terminal information of the effective terminal.
Step A2: identifying equipment manufacturer information of the effective terminal according to the MAC address of the effective terminal; and judging whether the MAC address of the effective terminal exists according to the previously acquired historical terminal information, and taking the effective terminal as a new effective terminal when the MAC address of the effective terminal does not exist.
In the embodiment of the invention, when the terminal information fed back by the terminal is acquired, the terminal information is stored, and for the newly acquired terminal information, the stored terminal information is historical terminal information. At the current moment, if terminal information sent by an effective terminal is collected, the MAC address of the effective terminal can be determined according to the terminal information and then is matched with the MAC address in historical terminal information, if the first detection device collects one piece of terminal information of the effective terminal before, the MAC address exists in the historical terminal information, and at the moment, the effective terminal can be indicated to be an old effective terminal for the first detection device; on the contrary, if the MAC address of the valid terminal does not exist in the history terminal information, it indicates that the valid terminal is close to the first detection device for the first time, and at this time, the valid terminal may be regarded as a new valid terminal.
Meanwhile, the MAC address may include information about a device manufacturer, for example, the first 24 bits of the MAC address are called Organization Unique Identifier (OUI), which are codes assigned to different manufacturers by a registration authority of IEEE, so that different manufacturers can be distinguished, and information about the manufacturers, that is, device manufacturer information, can be determined. Or, a database may be preset, in which the correspondence between the MAC address and the device manufacturer is stored, and subsequently, the device manufacturer information corresponding to the MAC address of the valid terminal may also be determined by querying the database.
Step A3: and determining the resource information played by the first detection equipment, and generating a user portrait corresponding to the first detection equipment according to the resource information, equipment manufacturer information and whether the effective terminal is a new effective terminal.
In an embodiment of the invention, a user representation is generated for each detection device. Specifically, the first detection device may play a video resource, that is, may determine resource information (for example, what content is played, such as a video or an advertisement, etc.) played by the first detection device. The resource information played by the first detection device at the current time point may be determined only, or the resource information played by the first detection device within a certain time period may also be determined, which is not limited in this embodiment. After the resource information is determined, the information of customers around the first detection device is determined from at least three dimensions by combining the device manufacturer information and whether the effective terminal is a new effective terminal, and then the user portrait of the first detection device is generated. After generating the user representation, the first probing apparatus may be facilitated to perform subsequent analysis decisions based on the user representation. For example, the first detection device may be an advertisement player or an advertisement screen for playing advertisements; after the user profile is generated, it is known at a certain time which resource the first probe has played for use by the decision maker.
On the basis of the above embodiment, referring to fig. 2, the method further includes:
step 201: and acquiring second terminal information acquired by second detection equipment and third terminal information acquired by third detection equipment, wherein the second terminal information and the third terminal information comprise the same timestamp and MAC address as the first terminal information, the second terminal information comprises second signal strength, and the third terminal information comprises third signal strength.
In the embodiment of the invention, a plurality of detection devices can be arranged in an area needing statistics, for example, a plurality of advertisement machines are arranged in a waiting hall of a passenger station, and each advertisement machine can be used as one detection device. In this embodiment, in addition to the first terminal information acquired by the first detection device, terminal information acquired by the second detection device and terminal information acquired by the third detection device are also acquired. The second detection device and the third detection device are both detection devices for acquiring terminal information fed back by the target terminal, that is, the second detection device acquires second terminal information having the MAC address of the target terminal, and the third detection device acquires third terminal information having the MAC address of the target terminal. Meanwhile, in order to accurately locate the target terminal, it is required that three terminal information (i.e., the first terminal information, the second terminal information, and the third terminal information) have the same time stamp. In this embodiment, the three pieces of terminal information have the same timestamp, which means that the time difference between every two timestamps of the three pieces of terminal information is smaller than the preset time difference, and preferably, the timestamps of the three pieces of terminal information are completely the same. But the timestamps may not be exactly the same because different probing devices are inevitably subject to time non-synchronization.
Step 202: determining a second distance according to the second signal strength, wherein the second distance is the distance between the target terminal and the second detection equipment; and determining a third distance according to the third signal strength, wherein the third distance is the distance between the target terminal and the third detection equipment.
Step 203: and determining the position information of the target terminal under the current timestamp according to the position of the first detection device, the position of the second detection device, the position of the third detection device, the first distance, the second distance and the third distance.
In the embodiment of the present invention, similar to determining the first distance based on the first signal strength, the second distance, that is, the distance between the target terminal and the second detection device, is determined according to the second signal strength; a third distance, i.e. the distance between the target terminal and the third detection device, may be determined based on the third signal strength. Meanwhile, the detection devices are preset, namely the positions of the detection devices are known, so that the positions of the target terminals can be determined based on a triangulation method according to the positions of the three detection devices and the distances from the three detection devices to the target terminals. The position of the first detection device, the position of the second detection device and the position of the third detection device are not collinear.
Step 204: and generating a behavior track of the target terminal according to the plurality of position information of the target terminal under the plurality of timestamps.
In the embodiment of the present invention, for different timestamps, by repeatedly performing the above-mentioned step 201 and 203, the location information of the target terminal under multiple timestamps can be determined, that is, the location change of the target terminal along with the time can be determined, so as to generate the behavior trace of the target terminal. The behavior trace may record a moving path of the target terminal. By displaying the behavior trajectory, the movement path of the customer can be intuitively displayed to the manager. Meanwhile, the moving paths of all the effective terminals can be counted, the thermodynamic diagrams of the effective terminals can be generated, and the thermodynamic diagrams can be updated in real time over time.
On the basis of the above embodiment, since there may be an error in acquiring the signal strength of the terminal information, the calculated distance between the target terminal and the detection device (including the first distance, the second distance, and the third distance) is not completely accurate, so that the position of the target terminal cannot be uniquely determined when the triangulation method is used. In this embodiment, the position of the target terminal is finally determined approximately by selecting an intersection of two circles and then setting a weight value. Specifically, the step 203 of "determining the location information of the target terminal under the current timestamp" includes:
step B1: determining all intersection points between the first circle and the second circle, determining all intersection points between the second circle and the third circle, and determining all intersection points between the third circle and the first circle; the first circle is a circle determined by taking the position of the first detection device as the center of a circle and taking the first distance as the radius, the second circle is a circle determined by taking the position of the second detection device as the center of a circle and taking the second distance as the radius, and the third circle is a circle determined by taking the position of the third detection device as the center of a circle and taking the third distance as the radius.
In the embodiment of the invention, the corresponding circle can be determined based on the position of the detection equipment and the distance between the detection equipment and the target terminal, and the intersection point between the two circles is determined. As shown in fig. 3, the first detection device is located at point P1, and it can be known from the terminal information collected by the first detection device that the first distance from the first detection device to the target terminal is d1D is already centered at P11Determine the first for the radiusCircle, i.e. the circle in the lower left corner of fig. 3. Similarly, a second probe device is located at point P2 and a second distance d2The second circle is the circle at the upper left corner in fig. 3; the third detecting device is located at point P3 and has a third distance d3And the third circle is the right circle in fig. 3. After the first circle, the second circle and the third circle are determined, corresponding intersection points can be determined, and at most two intersection points exist between the two circles. As shown in fig. 3, the intersection points between the first circle and the second circle are a1 and a2, the intersection points between the second circle and the third circle are B1 and B2, and the intersection point between the third circle and the first circle is C1 (i.e., the first circle is exactly tangent to the third circle).
It should be noted that, if there is no intersection point between the two circles, a point may be selected as the intersection point of the two circles on the path between the two corresponding detection devices according to the distance ratio between the target terminal and the two detection devices. As shown in fig. 3, if there is no intersection between the first circle and the third circle, i.e., there is no intersection C1, a point may be selected on the path between the first probe device and the third probe device (i.e., the dotted line in fig. 3) as the intersection. Since the first distance is d1The third distance is d3If a certain point can follow the path between two detection devices according to d1/d3Is divided, the point can be taken as the intersection point between the two circles.
Step B2: and taking the intersection point with the distance between the intersection points and the position of the second detection equipment, which is the closest to the third distance, of all the intersection points between the first circle and the second circle as a first intersection point, taking the intersection point with the distance between the intersection points and the position of the first detection equipment, which is the closest to the first distance, of all the intersection points between the second circle and the third circle as a second intersection point, and taking the intersection point with the distance between the intersection points and the position of the second detection equipment, which is the closest to the second distance, of all the intersection points between the third circle and the first circle as a third intersection point.
In the embodiment of the invention, because two intersection points may exist between two circles, in order to reduce the subsequent calculation error, the intersection point closer to the real position of the target terminal is selected as the finally selected intersection point. Since the real position of the target terminal is unknown, the intersection point and the target terminal are determined in the embodimentAnd the distance between the positions of other detection devices is used as a judgment basis. Specifically, referring to fig. 3, the first circle and the second circle include two intersection points a1 and a2, and the distances between the two intersection points a1 and a2 and the third probe device P3 are calculated, respectively, and the closer the distance is to the third distance, the closer the intersection point is to the target terminal. In FIG. 3, the distance between intersection A1 and P3 is closer to the third distance d3Therefore, the intersection a1 is defined as the first intersection. Similarly, for the intersection points B1 and B2 of the second circle and the third circle, the distance between the intersection point B1 and the first probe device P1 is closer to the first distance d1The second intersection point is B1. The third circle has only one intersection point C1 with the first circle, and the intersection point C1 can be directly used as the third intersection point.
Step B3: respectively setting corresponding weight values omega for the first intersection point, the second intersection point and the third intersection point1、ω2、ω3And ω is1+ω2+ω31 is ═ 1; wherein the weight value omega1A negative correlation between the first distance and the second distance, and a weight value omega2A negative correlation between the second distance and the third distance, and a weight value omega3And the first distance and the third distance are in a negative correlation relationship.
Generally, the larger the signal strength is, the smaller the signal strength error determined by the terminal is, and the more accurate the signal strength is; therefore, when the pitch is determined based on the signal strength, the larger the signal strength, the smaller the pitch, and the more accurate the pitch is determined. In this embodiment, since all three intersection points are calculated by the distance determined by the signal strength, the accuracy of the intersection point position is in a positive correlation with the signal strength, and in a negative correlation with the distance; that is, the smaller the distance corresponding to the intersection point, the more accurate the determined intersection point position is, and the higher the weight value of the corresponding intersection point should be. Specifically, for the first intersection point, since the first intersection point is determined based on the first circle and the second circle, the position of the first intersection point is related to the radius of the first circle (i.e., the first distance) and the radius of the second circle (i.e., the second distance), and the smaller the first distance, the higher the accuracy of the first intersection point; the smaller the second distance, the higher the accuracy of the first intersection point, and so onA higher weight value, i.e. ω, may be set for the first intersection point1Larger may be provided. The weight values of the second intersection point and the third intersection point are similar to those described above, and are not described herein again. In FIG. 3, d1＜d2＜d3And thus the weight values (i.e., ω) corresponding to the first and second distances1) Maximum, and weight values corresponding to the second and third distances (i.e., ω2) And minimum.
For example,
or, ω1Is and
and
value of correlation, ω2Is and
and
value of correlation, ω3Is and
and
related values, e.g.
And the like.
Step B4: determining the position (x, y) of the target terminal according to the positions of the first intersection point, the second intersection point and the third intersection point:
wherein x is1,x2,x3Are respectively provided withIs the abscissa, y, of the first, second and third intersection points1,y2,y3Respectively, the ordinate of the first intersection point, the second intersection point and the third intersection point.
In the embodiment of the invention, after the first intersection point, the second intersection point and the third intersection point are determined, the centroid of the triangle determined by the three intersection points can be used as the position of the target terminal. Meanwhile, in order to reduce the measurement error and improve the precision of the determined target terminal, weight values are added to the abscissa and the ordinate of the three intersection points, so that the calculation result is more accurate.
In this embodiment, the distance between the intersection point and the position of the other detection device is used as a judgment basis, so that the intersection point closer to the target terminal can be selected; by setting a weight value for the coordinates of each intersection point, measurement errors can be reduced, and the accuracy of the finally determined target terminal position can be improved.
On the basis of the above embodiment, since different brands of detection devices (for example, different brands of WiFi probes) on the market adopt different reporting rules, the reported messages have different formats, which may affect the subsequent processing of the messages. In this embodiment, the step 101 of "acquiring the first terminal information collected by the first detection device in real time" includes:
the method comprises the steps of acquiring initial terminal information acquired by first detection equipment in real time, and converting the initial terminal information into first terminal information in a uniform format.
In the embodiment of the invention, based on different reporting rules of detecting equipment of different brands on the market, the message rule of the detecting equipment is automatically analyzed, so that the initial terminal information originally generated by the detecting equipment can be converted into the terminal information with a uniform format, and the subsequent statistical processing is convenient.
On the basis of the above embodiment, the step 101 of "acquiring the first terminal information collected by the first detection device in real time" includes:
step C1: the method comprises the steps of acquiring terminal information acquired by first detection equipment in real time, judging whether an MAC address in the terminal information is an invalid MAC address and/or judging whether the signal intensity in the terminal information is larger than a maximum true value.
Step C2: and when the MAC address in the terminal information is an invalid MAC address and/or the signal intensity in the terminal information is greater than the maximum true value, rejecting the terminal information, and selecting one piece of terminal information from the rest terminal information as the first terminal information.
In order to improve a security mechanism of a mobile phone and avoid tracking and privacy disclosure, a terminal manufacturer (such as a smart phone manufacturer) does not have Access Point (AP) Access, and an exposed MAC address is not a real MAC address of the terminal but a large number of non-real MAC addresses sent out randomly. The number of MAC addresses sent out randomly may be tens of, hundreds of, or more, without a certain regularity.
In this embodiment, whether the MAC address in the terminal information is invalid is determined by determining whether the MAC address is a MAC address randomly issued by the terminal. Specifically, the judgment can be made according to the true and false MAC filtering rule. In general, the definition of legal MAC combines with the OUI library of the unique identifier of global organization to discriminate and distinguish, which can be used for real-time judgment of true MAC and false MAC; for example, the least significant bit of the first byte of the MAC address is 0, and the MAC with the second least significant bit of the first byte of the MAC address of 0 is a true MAC; the identification and distinguishing by combining the OUI library of the global organization unique identifier are directly compared with the OUI library of the global organization unique identifier, and the authenticity of the MAC can be distinguished. Alternatively, the big data model may be judged according to the authenticity MAC.
Meanwhile, the theoretical maximum value of the signal strength of the terminal is 0dbm, i.e., the signals emitted by the probe device are all received by the terminal, which is impossible in practical situations. In this embodiment, a maximum true value of the signal strength is set, that is, the maximum value of the signal strength of the signal sent by the detection device and received by the terminal in a true scene, and if the signal strength fed back by the terminal is greater than the maximum true value, it is indicated that the signal strength is most likely generated by the terminal itself and is not the signal strength actually measured, and at this time, the piece of terminal information may also be considered invalid and may be rejected. By eliminating useless terminal information, the finally acquired terminal information is guaranteed to be real and accurate.
On the basis of the above embodiment, the method further includes:
step D1: and acquiring and updating an equipment dictionary in real time, wherein the equipment dictionary comprises the corresponding relation between the detection equipment and the site.
Step D2: and carrying out real-time statistics on terminal statistical information related to each detection device according to the terminal information acquired by each detection device in the device dictionary, and carrying out real-time statistics on terminal total statistical information of all detection devices.
In the embodiment of the present invention, the station is an upper level device of the detection device, and the station may specifically be an upper computer, and may also be an execution main body of the method provided in this embodiment. By setting the device dictionary, the detection devices can be conveniently increased or decreased at any time. Based on the actual service scene, the device dictionary can be broadcast and distributed to each node of the cluster by the client, and the parallel computing tasks share the device dictionary. And after the calculation engine processes the reported data, the equipment dictionary is automatically updated. Thereby automatically and efficiently completing the equipment addition.
According to the method for real-time passenger flow statistics, the detection equipment is utilized to collect terminal information of surrounding terminals in real time, the distance between the terminal and the detection equipment can be determined, the number of the terminals near the detection equipment can be accurately determined, statistical information of the terminals can be obtained through statistics, and then the passenger flow statistical information around the detection equipment is determined. The method can acquire the terminal information in real time, and can accurately count the terminals around the detection equipment in real time so as to generate the passenger flow statistical information for the statistical granularity by the detection equipment, and the statistical granularity is more accurate. The MAC address is used as the unique identifier of the equipment, so that the repeated acquisition of the number of the terminals can be effectively avoided, and the statistical result is more accurate. A user profile of a first probing device may also be generated to facilitate the first probing device performing subsequent analytical decisions based on the user profile. Taking the distance between the intersection point and the position of other detection equipment as a judgment basis, so that the intersection point close to the target terminal can be selected; by setting a weight value for the coordinates of each intersection point, measurement errors can be reduced, and the accuracy of the finally determined target terminal position can be improved.
The above describes in detail the flow of the method for real-time passenger flow statistics, which may also be implemented by a corresponding device, and the structure and function of the device are described in detail below.
The device for real-time passenger flow statistics provided by the embodiment of the invention is shown in fig. 4, and comprises:
a real-time obtaining module 41, configured to obtain, in real time, first terminal information acquired by a first detection device, where the first terminal information includes a first signal strength, a timestamp, and an MAC address;
a processing module 42, configured to use a terminal corresponding to the MAC address as a target terminal, determine a first distance according to the first signal strength, and use the target terminal as an effective terminal related to the first detection device when the first distance is smaller than a preset distance, where the first distance is a distance between the target terminal and the first detection device;
a counting module 43, configured to count all valid terminals related to the first detection device in real time, where different valid terminals correspond to different MAC addresses, generate terminal statistical information in real time according to a timestamp in terminal information of the valid terminals, and use the terminal statistical information as passenger flow statistical information related to the first detection device; the terminal statistical information comprises one or more items of the stay time of the effective terminals, the number of the effective terminals at the time of time stamp, the total number of the effective terminals in a preset time period and the peak value of the number of the effective terminals in the preset time period.
On the basis of the embodiment, the device further comprises a manufacturer identification module and a user portrait generation module;
after the processing module 42 determines the target terminal as an effective terminal related to the first detection device, the manufacturer identification module is configured to determine a MAC address of the effective terminal according to terminal information of the effective terminal; identifying equipment manufacturer information of the effective terminal according to the MAC address of the effective terminal; judging whether the MAC address of the effective terminal exists according to the previously acquired historical terminal information, and taking the effective terminal as a new effective terminal when the MAC address of the effective terminal does not exist;
and the user portrait generating module is used for determining the resource information played by the first detection equipment and generating a user portrait corresponding to the first detection equipment according to the resource information, the equipment manufacturer information and whether the effective terminal is a new effective terminal.
On the basis of the above embodiment, the apparatus further includes: the second real-time acquisition module, the position determination module and the track generation module;
the second real-time acquisition module is used for acquiring second terminal information acquired by second detection equipment and acquiring third terminal information acquired by third detection equipment, wherein the second terminal information and the third terminal information comprise timestamps and MAC addresses which are the same as the first terminal information, the second terminal information comprises second signal strength, and the third terminal information comprises third signal strength;
the position determining module is configured to determine a second distance according to the second signal strength, where the second distance is a distance between the target terminal and the second detection device; determining a third distance according to the third signal strength, wherein the third distance is a distance between the target terminal and the third detection device; determining the position information of the target terminal under the current timestamp according to the position of the first detection device, the position of the second detection device, the position of the third detection device, the first distance, the second distance and the third distance;
the track generation module is used for generating a behavior track of the target terminal according to a plurality of position information of the target terminal under a plurality of timestamps.
On the basis of the foregoing embodiment, the determining, by the location determining module, the location information of the target terminal at the current timestamp includes:
determining all intersection points between the first circle and the second circle, determining all intersection points between the second circle and the third circle, and determining all intersection points between the third circle and the first circle; the first circle is a circle determined by taking the position of the first detection device as a circle center and the first distance as a radius, the second circle is a circle determined by taking the position of the second detection device as a circle center and the second distance as a radius, and the third circle is a circle determined by taking the position of the third detection device as a circle center and the third distance as a radius;
taking an intersection point, which is closest to the third distance, of all intersection points between the first circle and the second circle and the position of the third detection device as a first intersection point, taking an intersection point, which is closest to the first distance, of all intersection points between the second circle and the third circle and the position of the first detection device as a second intersection point, and taking an intersection point, which is closest to the second distance, of all intersection points between the third circle and the first circle and the position of the second detection device as a third intersection point;
setting corresponding weight values omega for the first intersection point, the second intersection point and the third intersection point respectively1、ω2、ω3And ω is1+ω2+ω31 is ═ 1; wherein the weight value omega1A negative correlation between the first distance and the second distance, and a weight value omega2A negative correlation between the second distance and the third distance, and a weight value omega3The first distance and the third distance are in negative correlation;
determining the position (x, y) of the target terminal according to the positions of the first intersection point, the second intersection point and the third intersection point:
wherein x is1,x2,x3The abscissa, y, of the first, second and third intersection points, respectively1,y2,y3Respectively, the ordinate of the first intersection point, the second intersection point and the third intersection point.
On the basis of the foregoing embodiment, the first real-time obtaining module is further configured to:
the method comprises the steps of acquiring initial terminal information acquired by first detection equipment in real time, and converting the initial terminal information into first terminal information in a uniform format.
On the basis of the foregoing embodiment, the first real-time obtaining module is further configured to:
acquiring terminal information acquired by first detection equipment in real time, judging whether an MAC address in the terminal information is an invalid MAC address and/or judging whether the signal intensity in the terminal information is greater than a maximum true value;
and when the MAC address in the terminal information is an invalid MAC address and/or the signal intensity in the terminal information is greater than the maximum true value, rejecting the terminal information, and selecting one piece of terminal information from the rest terminal information as first terminal information.
On the basis of the foregoing embodiment, the statistical module is further configured to:
acquiring and updating an equipment dictionary in real time, wherein the equipment dictionary comprises a corresponding relation between detection equipment and a site; and carrying out real-time statistics on terminal statistical information related to each detection device according to the terminal information acquired by each detection device in the device dictionary, and carrying out real-time statistics on terminal total statistical information of all detection devices.
According to the device for real-time passenger flow statistics, provided by the embodiment of the invention, the detection equipment can be used for acquiring the terminal information of the terminals around in real time, the distance between the terminal and the detection equipment can be determined, the number of the terminals near the detection equipment can be accurately determined, the statistical information of the terminals can be obtained through statistics, and the passenger flow statistical information around the detection equipment can be determined. The method can acquire the terminal information in real time, and can accurately count the terminals around the detection equipment in real time so as to generate the passenger flow statistical information for the statistical granularity by the detection equipment, and the statistical granularity is more accurate. The MAC address is used as the unique identifier of the equipment, so that the repeated acquisition of the number of the terminals can be effectively avoided, and the statistical result is more accurate. A user profile of a first probing device may also be generated to facilitate the first probing device performing subsequent analytical decisions based on the user profile. Taking the distance between the intersection point and the position of other detection equipment as a judgment basis, so that the intersection point close to the target terminal can be selected; by setting a weight value for the coordinates of each intersection point, measurement errors can be reduced, and the accuracy of the finally determined target terminal position can be improved.
Embodiments of the present invention further provide a computer storage medium, where the computer storage medium stores computer-executable instructions, which include a program for executing the method for real-time passenger flow statistics, and the computer-executable instructions may execute the method in any of the method embodiments.
The computer storage media may be any available media or data storage device that can be accessed by a computer, including but not limited to magnetic memory (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical memory (e.g., CDs, DVDs, BDs, HVDs, etc.), and semiconductor memory (e.g., ROMs, EPROMs, EEPROMs, non-volatile memory (NAND FLASH), Solid State Disks (SSDs)), etc.
Fig. 5 shows a block diagram of an electronic device according to another embodiment of the present invention. The electronic device 1100 may be a host server with computing capabilities, a personal computer PC, or a portable computer or terminal that is portable, or the like. The specific embodiment of the present invention does not limit the specific implementation of the electronic device.
The electronic device 1100 includes at least one processor (processor)1110, a Communications Interface 1120, a memory 1130, and a bus 1140. The processor 1110, the communication interface 1120, and the memory 1130 communicate with each other via the bus 1140.
The communication interface 1120 is used for communicating with network elements including, for example, virtual machine management centers, shared storage, etc.
Processor 1110 is configured to execute programs. Processor 1110 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement embodiments of the present invention.
The memory 1130 is used for executable instructions. The memory 1130 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 1130 may also be a memory array. The storage 1130 may also be partitioned and the blocks may be combined into virtual volumes according to certain rules. The instructions stored by the memory 1130 are executable by the processor 1110 to enable the processor 1110 to perform the method of real-time passenger flow statistics in any of the method embodiments described above.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (9)
1. A method of real-time passenger flow statistics, comprising:
acquiring first terminal information acquired by first detection equipment in real time, wherein the first terminal information comprises first signal strength, a timestamp and an MAC address;
taking a terminal corresponding to the MAC address as a target terminal, determining a first distance according to the first signal strength, and taking the target terminal as an effective terminal related to the first detection equipment when the first distance is smaller than a preset distance and the first distance is smaller than the distances between the target terminal and all other detection equipment, wherein the first distance is the distance between the target terminal and the first detection equipment;
counting all effective terminals related to the first detection equipment in real time, wherein different effective terminals correspond to different MAC addresses, generating terminal statistical information in real time according to timestamps in terminal information of the effective terminals, and taking the terminal statistical information as passenger flow statistical information related to the first detection equipment; the terminal statistical information comprises one or more of the number of the effective terminals at the time of the timestamp, the total number of the effective terminals in a preset time period and the peak value of the number of the effective terminals in the preset time period;
the method further comprises the following steps:
determining the position information of the target terminal under the current timestamp according to the position of the first detection device, the position of the second detection device, the position of the third detection device, the first distance, the second distance between the target terminal and the second detection device, and the third distance between the target terminal and the third detection device;
wherein the determining the location information of the target terminal under the current timestamp comprises:
determining all intersection points between the first circle and the second circle, determining all intersection points between the second circle and the third circle, and determining all intersection points between the third circle and the first circle; the first circle is a circle determined by taking the position of the first detection device as a circle center and the first distance as a radius, the second circle is a circle determined by taking the position of the second detection device as a circle center and the second distance as a radius, and the third circle is a circle determined by taking the position of the third detection device as a circle center and the third distance as a radius;
taking an intersection point, which is closest to the third distance, of all intersection points between the first circle and the second circle and the position of the third detection device as a first intersection point, taking an intersection point, which is closest to the first distance, of all intersection points between the second circle and the third circle and the position of the first detection device as a second intersection point, and taking an intersection point, which is closest to the second distance, of all intersection points between the third circle and the first circle and the position of the second detection device as a third intersection point;
setting corresponding weight values omega for the first intersection point, the second intersection point and the third intersection point respectively1、ω2、ω3And ω is1+ω2+ω31 is ═ 1; wherein the weight value omega1A negative correlation between the first distance and the second distance, and a weighted valueω2A negative correlation between the second distance and the third distance, and a weight value omega3The first distance and the third distance are in negative correlation;
determining the position (x, y) of the target terminal according to the positions of the first intersection point, the second intersection point and the third intersection point:
wherein x is1,x2,x3The abscissa, y, of the first, second and third intersection points, respectively1,y2,y3Respectively, the ordinate of the first intersection point, the second intersection point and the third intersection point.
2. The method according to claim 1, further comprising, after said regarding said target terminal as an active terminal associated with said first probe device:
determining the MAC address of the effective terminal according to the terminal information of the effective terminal;
identifying equipment manufacturer information of the effective terminal according to the MAC address of the effective terminal; judging whether the MAC address of the effective terminal exists according to the previously acquired historical terminal information, and taking the effective terminal as a new effective terminal when the MAC address of the effective terminal does not exist;
and determining the resource information played by the first detection equipment, and generating a user portrait corresponding to the first detection equipment according to the resource information, the equipment manufacturer information and whether the effective terminal is a new effective terminal.
3. The method of claim 1, wherein prior to said determining the location information of the target terminal at the current timestamp, the method further comprises:
acquiring second terminal information acquired by second detection equipment and third terminal information acquired by third detection equipment, wherein the second terminal information and the third terminal information comprise a timestamp and an MAC address which are the same as the first terminal information, the second terminal information comprises second signal strength, and the third terminal information comprises third signal strength; and
determining a second distance according to the second signal strength, wherein the second distance is the distance between the target terminal and the second detection device; determining a third distance according to the third signal strength, wherein the third distance is a distance between the target terminal and the third detection device;
after the determining the location information of the target terminal at the current timestamp, the method further comprises: and generating a behavior track of the target terminal according to a plurality of position information of the target terminal under a plurality of timestamps.
4. The method according to claim 1, wherein the obtaining the first terminal information collected by the first detection device in real time comprises:
the method comprises the steps of acquiring initial terminal information acquired by first detection equipment in real time, and converting the initial terminal information into first terminal information in a uniform format.
5. The method according to any one of claims 1 to 4, wherein the obtaining the first terminal information collected by the first detection device in real time comprises:
acquiring terminal information acquired by first detection equipment in real time, judging whether an MAC address in the terminal information is an invalid MAC address and/or judging whether the signal intensity in the terminal information is greater than a maximum true value;
and when the MAC address in the terminal information is an invalid MAC address and/or the signal intensity in the terminal information is greater than the maximum true value, rejecting the terminal information, and selecting one piece of terminal information from the rest terminal information as first terminal information.
6. The method of any of claims 1-4, further comprising:
acquiring and updating an equipment dictionary in real time, wherein the equipment dictionary comprises a corresponding relation between detection equipment and a site;
and carrying out real-time statistics on terminal statistical information related to each detection device according to the terminal information acquired by each detection device in the device dictionary, and carrying out real-time statistics on terminal total statistical information of all detection devices.
7. An apparatus for real-time passenger flow statistics, comprising:
the first real-time acquisition module is used for acquiring first terminal information acquired by first detection equipment in real time, wherein the first terminal information comprises first signal strength, a timestamp and an MAC address;
a processing module, configured to determine a first distance according to the first signal strength by using a terminal corresponding to the MAC address as a target terminal, and use the target terminal as an effective terminal related to the first detection device when the first distance is smaller than a preset distance and the first distance is smaller than distances between the target terminal and all other detection devices, where the first distance is a distance between the target terminal and the first detection device;
the statistical module is used for counting all effective terminals related to the first detection equipment in real time, wherein different effective terminals correspond to different MAC addresses, terminal statistical information is generated in real time according to timestamps in terminal information of the effective terminals, and the terminal statistical information is used as passenger flow statistical information related to the first detection equipment; the terminal statistical information comprises one or more of the number of the effective terminals at the time of the timestamp, the total number of the effective terminals in a preset time period and the peak value of the number of the effective terminals in the preset time period;
a position determining module, configured to determine, according to a position of the first detection device, a position of a second detection device, a position of a third detection device, the first distance, a second distance between the target terminal and the second detection device, and a third distance between the target terminal and the third detection device, position information of the target terminal under a current timestamp;
wherein the determining, by the location determination module, the location information of the target terminal at the current timestamp comprises:
determining all intersection points between the first circle and the second circle, determining all intersection points between the second circle and the third circle, and determining all intersection points between the third circle and the first circle; the first circle is a circle determined by taking the position of the first detection device as a circle center and the first distance as a radius, the second circle is a circle determined by taking the position of the second detection device as a circle center and the second distance as a radius, and the third circle is a circle determined by taking the position of the third detection device as a circle center and the third distance as a radius;
taking an intersection point, which is closest to the third distance, of all intersection points between the first circle and the second circle and the position of the third detection device as a first intersection point, taking an intersection point, which is closest to the first distance, of all intersection points between the second circle and the third circle and the position of the first detection device as a second intersection point, and taking an intersection point, which is closest to the second distance, of all intersection points between the third circle and the first circle and the position of the second detection device as a third intersection point;
setting corresponding weight values omega for the first intersection point, the second intersection point and the third intersection point respectively1、ω2、ω3And ω is1+ω2+ω31 is ═ 1; wherein the weight value omega1A negative correlation between the first distance and the second distance, and a weight value omega2A negative correlation between the second distance and the third distance, and a weight value omega3The first distance and the third distance are in negative correlation;
determining the position (x, y) of the target terminal according to the positions of the first intersection point, the second intersection point and the third intersection point:
wherein x is1,x2,x3The abscissa, y, of the first, second and third intersection points, respectively1,y2,y3Respectively, the ordinate of the first intersection point, the second intersection point and the third intersection point.
8. A computer storage medium having stored thereon computer-executable instructions for performing the method of real-time passenger flow statistics of any of claims 1-6.
9. An electronic device, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of real-time passenger flow statistics of any one of claims 1-6.
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