CN111275967A - Building activity calculation method and system based on intelligent lamp pole - Google Patents

Building activity calculation method and system based on intelligent lamp pole Download PDF

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Publication number
CN111275967A
CN111275967A CN202010072996.2A CN202010072996A CN111275967A CN 111275967 A CN111275967 A CN 111275967A CN 202010072996 A CN202010072996 A CN 202010072996A CN 111275967 A CN111275967 A CN 111275967A
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building
base station
around
lamp post
road
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CN111275967B (en
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严军荣
卢玉龙
江雅芬
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Hangzhou Houbo Technology Co Ltd
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Hangzhou Houbo Technology Co Ltd
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/012—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F21—LIGHTING
    • F21S—NON-PORTABLE LIGHTING DEVICES; SYSTEMS THEREOF; VEHICLE LIGHTING DEVICES SPECIALLY ADAPTED FOR VEHICLE EXTERIORS
    • F21S8/00—Lighting devices intended for fixed installation
    • F21S8/08—Lighting devices intended for fixed installation with a standard
    • F21S8/085—Lighting devices intended for fixed installation with a standard of high-built type, e.g. street light
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F21—LIGHTING
    • F21V—FUNCTIONAL FEATURES OR DETAILS OF LIGHTING DEVICES OR SYSTEMS THEREOF; STRUCTURAL COMBINATIONS OF LIGHTING DEVICES WITH OTHER ARTICLES, NOT OTHERWISE PROVIDED FOR
    • F21V33/00—Structural combinations of lighting devices with other articles, not otherwise provided for
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/08—Access point devices

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  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Traffic Control Systems (AREA)
  • Circuit Arrangement For Electric Light Sources In General (AREA)

Abstract

The invention discloses a building activeness calculation method and system based on an intelligent lamp post. The method comprises the following steps: obtaining lamp post base station information around a building; the lamp post base station acquires nearby personnel information, vehicle information and road information; calculating the pedestrian flow and the residence time of the crowd around the building according to the information of the personnel near the lamp post base station; calculating the crowd activity around the building according to the flow of people around the building and the residence time of the crowd; calculating road smoothness values around the building according to vehicles near the lamp post base station; and calculating the building activeness according to the crowd activeness and the road smoothness value around the building. The method and the system solve the technical problem of how to calculate the activity degree around the building by using the intelligent lamp pole.

Description

Building activity calculation method and system based on intelligent lamp pole
Technical Field
The invention belongs to the technical field of intelligent lamp poles, and particularly relates to a building activeness calculation method and system based on an intelligent lamp pole.
Background
The current commercial buildings are more and more developed towards the direction of a comprehensive body. A large number of people and traffic converge around the building. However, in the existing technical scheme, the pedestrian flow condition can be judged only by judging the terminal access condition through the base station or the traffic flow condition can be judged only through intersection video monitoring, and the active condition around the building cannot be accurately described. There is a need for a solution that can fully describe the activity around a building.
Future buildings will implement signal coverage in the form of smart light poles. At present, no technical scheme for calculating the activity around a building by using an intelligent lamp pole exists. Therefore, a building activity degree calculation method and system based on the intelligent lamp pole are provided.
Disclosure of Invention
In order to solve the above problems, the present invention provides a building activity calculation method and system based on an intelligent lamp post.
The invention relies on a lamp post base station system.
The invention discloses a building activity degree calculation method based on an intelligent lamp post, which comprises the following steps of:
obtaining lamp post base station information around a building;
the lamp post base station acquires nearby personnel information, vehicle information and road information;
calculating the pedestrian flow and the residence time of the crowd around the building according to the information of the personnel near the lamp post base station;
calculating the crowd activity around the building according to the flow of people around the building and the residence time of the crowd;
calculating road smoothness values around the building according to vehicles near the lamp post base station;
and calculating the building activeness according to the crowd activeness and the road smoothness value around the building.
Preferably, the lamppost base station around the building is a lamppost base station within a certain distance from any one of an entrance and an exit of the building, an edge of the building or a parking lot of the building.
Preferably, the light pole base station acquires nearby personnel information, vehicle information and road information, and includes:
the number of the lamp post base stations around the building is i;
the method comprises the steps that terminal access information including terminal identification, terminal access time, terminal connection interruption time and terminal access quantity is obtained by lamp post base stations around a building;
the lamp post base stations around the building recognize vehicle information monitored by a video or a sensor, wherein the vehicle information comprises vehicle license plate information, vehicle running speed and vehicle quantity;
the lamp post base stations around the building identify road information monitored by a video monitor or a sensor, wherein the road information comprises road accident information and road construction information.
Preferably, the calculating the flow rate and the residence time of the crowd around the building according to the information of the people near the lamp post base station comprises:
the lamp post base station identifies terminals which are not connected and disconnected, terminals which are not connected and disconnected and terminals which are not connected and disconnected in a time period T according to the terminal identification, the terminal access time and the terminal connection interruption time in the time period T, wherein the time period T is set in advance;
according to the terminal identification, counting the terminals which are not connected, accessed and disconnected, the terminals which are not accessed and disconnected and the terminals which are not accessed and disconnected of each lamp post base station around the building in the time period T and generating an access terminal set A;
the traffic a around the building is calculated based on the number n of terminals in the set a of access terminals and the time period T,
Figure BDA0002377756860000021
k is a calculation coefficient set according to any one or more of historical people flow data or regional characteristics or lamp post base station types;
acquiring the access time and the connection interruption time of each terminal in the access terminal set A and calculating the access time length of each terminal;
and calculating the average value of the access time lengths of the terminals, and recording the average value as the residence time t of people around the building.
Preferably, the calculating of crowd activity around the building from the flow of people around the building and the crowd dwell time comprises:
the flow of people around the building is recorded as a, and the residence time of people is recorded as t;
and calculating the people group activity x around the building according to the people flow rate a around the building and the people group residence time t, wherein the x is g-a-t, and g is a calculation coefficient set according to any one of road information near a lamp post base station or historical people flow data.
Preferably, the calculating the road smoothness value around the building according to the vehicles near the lamppost base station comprises the following steps:
the lamp post base station identifies vehicles passing through the area within a time period T according to the license plate information, wherein the time period T is set in advance;
counting the number of vehicles passing through each lamp post base station area and recording as uiWherein i is the number of each lamp post base station around the building;
according to the number u of vehiclesiCalculating the traffic flow of each lamp post base station area according to the time period T, and recording as bi，
Figure BDA0002377756860000031
Figure BDA0002377756860000032
Wherein o is a calculation coefficient set according to any one or more of historical traffic data or regional characteristics or lamppost base station types;
counting the running speed of vehicles passing through each lamp post base station area and calculating the average value, and recording the average value as ci；
According to the traffic flow b of each lamp post base station areaiAnd average vehicle speed ciCalculating road unblocked coefficient near a lamp post base station and recording the road unblocked coefficient as vi，vi＝d·bi·ciWherein d is a calculation coefficient set according to any one of road information or historical congestion data near the lamp post base station;
according to the road smoothness coefficient v near each lamp post base stationiThe road smoothness value y around the building is calculated,
Figure BDA0002377756860000033
wherein h isiRepresenting the road clear weight for each light pole base station.
Further preferably, the road clear weight of each lamppost base station is calculated according to any one or more combination of the type of each lamppost base station, the distance between each lamppost base station and a building, or the road condition near each lamppost base station.
Preferably, the calculating the building activeness according to the crowd activeness around the building and the road smoothness value comprises:
the liveness of people around the building is recorded as x, and the road smoothness value is recorded as y;
calculating building activity z according to people group activity x around the building and road smoothness value y, wherein z is e.x.y or z is r1·x+r2Y, where e is a calculation coefficient set according to any one of building attributes or historical pedestrian and traffic data, r1And r2Is a weighting coefficient set according to any one of building attributes or historical people flow and traffic flow data.
A computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the above method.
The utility model provides a building activeness computing system based on wisdom lamp pole which characterized in that includes:
a lamp post;
a building;
a base station controller;
a processor;
a memory;
and
one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs causing the computer to perform the above-described method.
The method and the system have the advantages that:
(1) people flow and people residence time around the building are calculated through the terminal access condition of each lamp post base station around the building, and the active condition of people around the building can be effectively identified.
(2) The traffic flow and the average speed are identified through the vehicle information monitored by the lamp post base stations around the building, so that the road smooth traffic degree value is calculated, and the vehicle passing condition around the building can be effectively identified.
(3) By combining the crowd activity situation and the vehicle traffic situation around the building, the activity of the building can be effectively calculated, and a basis is provided for evaluating the commercial value of the building.
Drawings
Fig. 1 is a flowchart of a building activity calculation method based on an intelligent lamp post according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating the detailed steps of step S02 in FIG. 1;
FIG. 3 is a flowchart illustrating the detailed steps of step S03 in FIG. 1;
FIG. 4 is a flowchart illustrating the detailed steps of step S04 in FIG. 1;
FIG. 5 is a flowchart illustrating the detailed steps of step S05 in FIG. 1;
FIG. 6 is a flowchart illustrating the detailed steps of step S06 in FIG. 1
Fig. 7 is a schematic structural diagram of a building activity calculation system based on intelligent lamp posts according to a third embodiment of the present invention.
Detailed Description
The following describes in detail preferred embodiments of the present invention.
The embodiment of the invention depends on a lamp post base station system.
The building activeness calculation method based on the intelligent lamp pole in the first embodiment of the invention is shown in fig. 1, and comprises the following steps:
s01, obtaining lamp post base station information around the building;
step S02, the lamp post base station acquires nearby personnel information, vehicle information and road information;
step S03, calculating the flow rate and the residence time of people around the building according to the information of people near the lamp post base station;
step S04, calculating the crowd activity around the building according to the people flow around the building and the crowd staying time;
step S05, calculating road smoothness values around the building according to vehicles near the lamp post base station;
and step S06, calculating the building activeness according to the crowd activeness around the building and the road smoothness value.
In a preferred mode, the lamppost base station around the building is a lamppost base station which is within a certain distance from any one of an entrance and an exit of the building, an edge of the building or a parking lot of the building.
In this embodiment, the information of the lamp post base stations within a range of 50 meters for the entrance and exit of a certain building is obtained, and 3 lamp post base stations are obtained in total.
In a preferred embodiment shown in fig. 2, the step S02, the obtaining, by the light pole base station, the nearby person information, the vehicle information, and the road information includes:
s021, numbering a lamp post base station around the building as i;
s022, obtaining terminal access information including terminal identification, terminal access time, terminal connection interruption time and terminal access quantity by lamp post base stations around a building;
s023, identifying vehicle information monitored by a video monitor or a sensor by lamp post base stations around a building, wherein the vehicle information comprises vehicle license plate information, vehicle running speed and vehicle quantity;
and S024, identifying road information monitored by a video monitor or a sensor by lamp post base stations around the building, wherein the road information comprises road accident information and road construction information.
In this embodiment, 3 lamp post base stations are numbered 1, 2 and 3 respectively; each lamp post base station acquires terminal access information which comprises terminal identification, terminal access time, terminal connection interruption time and terminal access number, identifies video monitoring vehicle information which comprises vehicle license plate information, vehicle running speed and vehicle number, and identifies road information monitored by a road sensor which comprises road accident information and road construction information.
In a preferred embodiment shown in fig. 3, the step S03 of calculating the flow rate and the residence time of people around the building according to the information of people near the lamp post base station includes:
step 031, the lamp pole base station identifies the terminal which is not disconnected during the time period T, the terminal which is disconnected and accessed, the terminal which is disconnected and not accessed and not disconnected and the terminal which is not disconnected during the time period T according to the terminal identification, the terminal access time and the terminal connection interruption time during the time period T, wherein the time period T is set in advance;
step S032, counting terminals which are not disconnected, are accessed, disconnected, and not accessed, disconnected and the terminals which are not disconnected of each lamp post base station around a building in a time period T according to the terminal identification, and generating an access terminal set A;
step S033, calculating the traffic a around the building according to the number n of terminals in the access terminal set a and the time period T,
Figure BDA0002377756860000071
k is a calculation coefficient set according to any one or more of historical people flow data or regional characteristics or lamp post base station types;
step S034, obtaining the access time and the connection interruption time of each terminal in the access terminal set A and calculating the access time length of each terminal;
and step S035, calculating the average value of the access time length of each terminal, and recording the average value as the residence time t of people around the building.
In this embodiment, the time period T is 1 day, and the terminal information accessed by the 3 lamp post base stations in 1 day includes the terminal identifier, the terminal access time, and the terminal connection interruption time; identifying the terminals which are not disconnected after being accessed, accessed and disconnected, the terminals which are not accessed and disconnected and the terminals which are not accessed and disconnected within 1 day according to the information, and arranging 3 lampsAfter the four terminals acquired by the pole base station are summarized, removing repeated items to generate an access terminal set A; the number n of terminals in the set A is 1000, a calculation coefficient k set according to historical people flow data and regional characteristics is 1, and the people flow around the building is calculated according to the time period T and the number n of access terminals
Figure BDA0002377756860000072
Figure BDA0002377756860000073
(units are per day). And counting the access time and the connection interruption time of each terminal in the set A, calculating the access time length of each terminal, and calculating an average value to obtain the residence time t of people around the building, which is 30 minutes.
In a preferred form as shown in fig. 4, the step S04 of calculating the crowd activity around the building according to the flow rate of people around the building and the crowd stay time includes:
step S041, recording the flow of people around the building as a, and recording the residence time of the people as t;
and step S042, calculating the crowd activity degree x around the building according to the pedestrian flow rate a around the building and the crowd staying time t, wherein the x is g-a-t, and g is a calculation coefficient set according to any one of road information near a lamp post base station or historical pedestrian flow data.
In this embodiment, the traffic a around the building is 1000, the crowd stay time t is 30, the calculation coefficient g set based on the road information near the lamppost base station and the historical traffic data is 0.0001, and the crowd activity x around the building is 0.0001 × 1000 × 30 — 3 based on the traffic a around the building and the crowd stay time t.
In a preferred embodiment shown in fig. 5, the step S05 of calculating a road smoothness value around the building according to the vehicles near the lamppost base station includes:
s051, identifying vehicles passing through an area in a time period T by the lamp post base station according to license plate information, wherein the time period T is preset;
step S052, statistics of base stations passing through each lamp postNumber of vehicles in zone, denoted uiWherein i is the number of each lamp post base station around the building;
step S053, according to the number u of vehiclesiCalculating the traffic flow of each lamp post base station area according to the time period T, and recording as bi，
Figure BDA0002377756860000081
Wherein o is a calculation coefficient set according to any one or more of historical traffic data or regional characteristics or lamppost base station types.
Step S054, counting the running speed of vehicles passing through each lamp post base station area and calculating the average value, and recording the average value as ci；
Step S055, according to traffic flow b of each lamp post base station areaiAnd average vehicle speed ciCalculating road unblocked coefficient near a lamp post base station and recording the road unblocked coefficient as vi，vi＝d·bi·ciWherein d is a calculation coefficient set according to any one of road information or historical congestion data in the vicinity of the lamppost base station
Step S056, according to road unblocked coefficient v near each lamp post base stationiThe road smoothness value y around the building is calculated,
Figure BDA0002377756860000091
wherein h isiRepresenting the road clear weight for each light pole base station.
In a preferred mode, the road unblocked weight of each lamppost base station is calculated according to any one or more combination of the type of each lamppost base station, the distance between each lamppost base station and a building or the road condition near each lamppost base station.
In this embodiment, vehicles passing through the area within the identification time period T (1 day) are identified according to the license plate information, and the number u of the vehicles passing through each lamp post base station area is counted1＝100，u2＝20，u3200 parts of a total weight; comprehensively setting a calculation coefficient o to be 1 according to historical traffic flow data, regional characteristics and lamp post base station types, and according to the number u of vehiclesiCalculating the traffic flow of each lamp post base station area according to the time period T
Figure BDA0002377756860000092
Figure BDA0002377756860000093
Counting the running speed of vehicles passing through each lamp post base station area and calculating the average value c1＝30，c2＝50，c310 (km/h); setting a calculation coefficient d to be 0.001 according to road information and historical congestion data near the lamppost base station, and setting the traffic flow b of each lamppost base station area according to the traffic flow biAnd average vehicle speed ciCalculating road unblocked coefficient v near the base station of the lamp post1＝d·b1·c1＝0.001×100×30＝3，v2＝d·b2·c2＝0.001×20×50＝1，v3＝d·b3·c3＝0.001×200×10＝2；
Calculating road unblocked weight h of each lamp post base station according to the type of each lamp post base station, the distance between each lamp post base station and the building and the road conditions (whether accidents occur or not and the accident duration) near each lamp post base station1＝0.8，hi＝0.1，hi1, according to road clear coefficient v near each lamp post base stationiCalculating a road smoothness value around a building
Figure BDA0002377756860000094
In a preferred embodiment shown in fig. 6, the step S06 of calculating the building activity according to the crowd activity and the road smoothness value around the building includes:
step S061, recording the activeness of people around the building as x, and recording the road smoothness value as y;
and S062, calculating the building activity z according to the people group activity x around the building and the road smoothness value y, wherein the z is e.x.y, and e is a calculation coefficient set according to any one of building attributes or historical people flow and traffic flow data.
In this embodiment, the crowd activity x around the building is 3, the road smoothness value y is 4.5, the calculation coefficient e is 0.1 is set comprehensively according to the building attribute (comprehensive building), the historical flow of people, and the traffic flow data, and the building activity z is 0.1 × 3 × 4.5 is 1.35 according to the crowd activity x around the building and the road smoothness value y.
The building activity calculation method based on the intelligent lamp pole in the second embodiment of the invention comprises the following steps:
s01, obtaining lamp post base station information around the building;
step S02, the lamp post base station acquires nearby personnel information, vehicle information and road information;
step S03, calculating the flow rate and the residence time of people around the building according to the information of people near the lamp post base station;
step S04, calculating the crowd activity around the building according to the people flow around the building and the crowd staying time;
step S05, calculating road smoothness values around the building according to vehicles near the lamp post base station;
and step S06, calculating the building activeness according to the crowd activeness around the building and the road smoothness value.
In a preferred mode, the lamppost base station around the building is a lamppost base station which is within a certain distance from any one of an entrance and an exit of the building, an edge of the building or a parking lot of the building.
In this embodiment, the information of the lamp post base stations within a range of 50 meters for the entrance and exit of a certain building is obtained, and 3 lamp post base stations are obtained in total.
In a preferred embodiment, the step S02, the obtaining of the nearby person information, the vehicle information, and the road information by the light pole base station includes:
s021, numbering a lamp post base station around the building as i;
s022, obtaining terminal access information including terminal identification, terminal access time, terminal connection interruption time and terminal access quantity by lamp post base stations around a building;
s023, identifying vehicle information monitored by a video monitor or a sensor by lamp post base stations around a building, wherein the vehicle information comprises vehicle license plate information, vehicle running speed and vehicle quantity;
and S024, identifying road information monitored by a video monitor or a sensor by lamp post base stations around the building, wherein the road information comprises road accident information and road construction information.
In this embodiment, 3 lamp post base stations are numbered 1, 2 and 3 respectively; each lamp post base station acquires terminal access information which comprises terminal identification, terminal access time, terminal connection interruption time and terminal access number, identifies video monitoring vehicle information which comprises vehicle license plate information, vehicle running speed and vehicle number, and identifies road information monitored by a road sensor which comprises road accident information and road construction information.
In a preferred embodiment, the step S03 of calculating the flow rate and the residence time of people around the building according to the information of people near the lamp post base station includes:
step 031, the lamp pole base station identifies the terminal which is not disconnected during the time period T, the terminal which is disconnected and accessed, the terminal which is disconnected and not accessed and not disconnected and the terminal which is not disconnected during the time period T according to the terminal identification, the terminal access time and the terminal connection interruption time during the time period T, wherein the time period T is set in advance;
step S032, counting terminals which are not disconnected, are accessed, disconnected, and not accessed, disconnected and the terminals which are not disconnected of each lamp post base station around a building in a time period T according to the terminal identification, and generating an access terminal set A;
step S033, calculating the traffic a around the building according to the number n of terminals in the access terminal set a and the time period T,
Figure BDA0002377756860000111
k is a calculation coefficient set according to any one or more of historical people flow data or regional characteristics or lamp post base station types;
step S034, obtaining the access time and the connection interruption time of each terminal in the access terminal set A and calculating the access time length of each terminal;
and step S035, calculating the average value of the access time length of each terminal, and recording the average value as the residence time t of people around the building.
In this embodiment, the time period T is 1 day, and the terminal information accessed by the 3 lamp post base stations in 1 day includes the terminal identifier, the terminal access time, and the terminal connection interruption time; identifying a terminal which is not disconnected after being accessed, a terminal which is accessed and disconnected, a terminal which is not accessed and disconnected and a terminal which is not accessed and disconnected within 1 day according to the information, summarizing the four terminals acquired by the 3 lamp post base stations, removing repeated items, and generating an access terminal set A; the number n of terminals in the set A is 1000, a calculation coefficient k set according to historical people flow data and regional characteristics is 1, and the people flow around the building is calculated according to the time period T and the number n of access terminals
Figure BDA0002377756860000121
Figure BDA0002377756860000122
(units are per day). And counting the access time and the connection interruption time of each terminal in the set A, calculating the access time length of each terminal, and calculating an average value to obtain the residence time t of people around the building, which is 30 minutes.
In one preferred form, the step S04 of calculating crowd activity around the building according to the flow rate of people around the building and the crowd dwell time includes:
step S041, recording the flow of people around the building as a, and recording the residence time of the people as t;
and step S042, calculating the crowd activity degree x around the building according to the pedestrian flow rate a around the building and the crowd staying time t, wherein the x is g-a-t, and g is a calculation coefficient set according to any one of road information near a lamp post base station or historical pedestrian flow data.
In this embodiment, the traffic a around the building is 1000, the crowd stay time t is 30, the calculation coefficient g set based on the road information near the lamppost base station and the historical traffic data is 0.0001, and the crowd activity x around the building is 0.0001 × 1000 × 30 — 3 based on the traffic a around the building and the crowd stay time t.
In a preferred embodiment, the step S05 of calculating the road smoothness value around the building according to the vehicles near the lamppost base station includes:
s051, identifying vehicles passing through an area in a time period T by the lamp post base station according to license plate information, wherein the time period T is preset;
step S052, counting the number of vehicles passing through each lamp post base station area, and recording as uiWherein i is the number of each lamp post base station around the building;
step S053, according to the number u of vehiclesiCalculating the traffic flow of each lamp post base station area according to the time period T, and recording as bi，
Figure BDA0002377756860000131
Wherein o is a calculation coefficient set according to any one or more of historical traffic data or regional characteristics or lamppost base station types.
Step S054, counting the running speed of vehicles passing through each lamp post base station area and calculating the average value, and recording the average value as ci；
Step S055, according to traffic flow b of each lamp post base station areaiAnd average vehicle speed ciCalculating road unblocked coefficient near a lamp post base station and recording the road unblocked coefficient as vi，vi＝d·bi·ciWherein d is a calculation coefficient set according to any one of road information or historical congestion data in the vicinity of the lamppost base station
Step S056, according to road unblocked coefficient v near each lamp post base stationiThe road smoothness value y around the building is calculated,
Figure BDA0002377756860000132
wherein h isiRepresenting the road clear weight for each light pole base station.
In a preferred mode, the road unblocked weight of each lamppost base station is calculated according to any one or more combination of the type of each lamppost base station, the distance between each lamppost base station and a building or the road condition near each lamppost base station.
In this embodiment, the passing area within the time period T (1 day) is identified according to the license plate informationThe number u of vehicles passing through each lamp post base station area is counted1＝100，u2＝20，u3200 parts of a total weight; comprehensively setting a calculation coefficient o to be 1 according to historical traffic flow data, regional characteristics and lamp post base station types, and according to the number u of vehiclesiCalculating the traffic flow of each lamp post base station area according to the time period T
Figure BDA0002377756860000133
Figure BDA0002377756860000134
Counting the running speed of vehicles passing through each lamp post base station area and calculating the average value c1＝30，c2＝50，c310 (km/h); setting a calculation coefficient d to be 0.001 according to road information and historical congestion data near the lamppost base station, and setting the traffic flow b of each lamppost base station area according to the traffic flow biAnd average vehicle speed ciCalculating road unblocked coefficient v near the base station of the lamp post1＝d·b1·c1＝0.001×100×30＝3，v2＝d·b2·c2＝0.001×20×50＝1，v3＝d·b3·c3＝0.001×200×10＝2；
Calculating road unblocked weight h of each lamp post base station according to the type of each lamp post base station, the distance between each lamp post base station and the building and the road conditions (whether accidents occur or not and the accident duration) near each lamp post base station1＝0.8，hi＝0.1，hi1, according to road clear coefficient v near each lamp post base stationiCalculating a road smoothness value around a building
Figure BDA0002377756860000141
In a preferred embodiment, the step S06 of calculating the building activity according to the crowd activity and the road smoothness value around the building includes:
step S061, recording the activeness of people around the building as x, and recording the road smoothness value as y;
step S062, according to people around the building liveCalculating building liveness z by using the liveness x and the road smoothness value y, wherein the z is r1·x+r2Y, wherein r1And r2Is a weighting coefficient set according to any one of building attributes or historical people flow and traffic flow data.
In this embodiment, the crowd liveness x around the building is 3, the road smoothness value y is 4.5, and the weighting coefficient r is comprehensively set according to the building attribute (mainly facing to the crowd), the historical flow of people, and the traffic flow data1＝0.8，r20.2, calculating the building activity z r according to the people group activity x around the building and the road smoothness value y1·x+r2·y＝0.8×3+0.2×4.5＝3.3。
A computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method of any of the above embodiments.
A building activeness calculation system based on an intelligent lamp post according to a third embodiment of the present invention is shown in fig. 7, and includes:
a lamp post;
a building;
a base station controller;
a processor;
a memory;
and
one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs causing the computer to perform the methods of any of the above embodiments.
Of course, those skilled in the art should realize that the above embodiments are only used for illustrating the present invention, and not as a limitation to the present invention, and that the changes and modifications of the above embodiments will fall within the protection scope of the present invention as long as they are within the scope of the present invention.

Claims (10)

1. A building activeness calculation method based on an intelligent lamp pole is characterized by comprising the following steps:
obtaining lamp post base station information around a building;
the lamp post base station acquires nearby personnel information, vehicle information and road information;
calculating the pedestrian flow and the residence time of the crowd around the building according to the information of the personnel near the lamp post base station;
calculating the crowd activity around the building according to the flow of people around the building and the residence time of the crowd;
calculating road smoothness values around the building according to the vehicle information near the lamp post base station;
and calculating the building activeness according to the crowd activeness and the road smoothness value around the building.
2. The building activity calculation method based on intelligent lamp posts as claimed in claim 1, wherein the lamp post base stations around the building are lamp post base stations within a certain distance range from any one of the building entrance and exit, the building edge or the building parking lot, and the number of the lamp post base stations is recorded as n.
3. The intelligent light pole-based building activity calculation method as claimed in claim 1, wherein the light pole base station acquires nearby personnel information, vehicle information and road information, and comprises:
the number of the lamp post base stations around the building is i;
the method comprises the steps that terminal access information including terminal identification, terminal access time, terminal connection interruption time and terminal access quantity is obtained by lamp post base stations around a building;
the lamp post base stations around the building recognize vehicle information monitored by a video or a sensor, wherein the vehicle information comprises vehicle license plate information, vehicle running speed and vehicle quantity;
the lamp post base stations around the building identify road information monitored by a video monitor or a sensor, wherein the road information comprises road accident information and road construction information.
4. The building activity calculation method based on intelligent lamp pole according to claim 3, wherein the calculation of the people flow and the people staying time around the building according to the people information near the lamp pole base station comprises the following steps:
the lamp post base station identifies terminals which are not connected and disconnected, terminals which are not connected and disconnected and terminals which are not connected and disconnected in the time period T according to the terminal identification, the terminal access time and the terminal connection interruption time in the time period T;
according to the terminal identification, counting the terminals which are not connected, accessed and disconnected, the terminals which are not accessed and disconnected and the terminals which are not accessed and disconnected of each lamp post base station around the building in the time period T and generating an access terminal set A;
the traffic a around the building is calculated based on the number n of terminals in the set a of access terminals and the time period T,
Figure FDA0002377756850000021
k is a calculation coefficient set according to any one or more of historical people flow data or regional characteristics or lamp post base station types;
acquiring the access time and the connection interruption time of each terminal in the access terminal set A and calculating the access time length of each terminal;
and calculating the average value of the access time lengths of the terminals, and recording the average value as the residence time t of people around the building.
5. The building activity calculation method based on smart lamp posts as claimed in claim 1, wherein the calculating of crowd activity around the building according to the flow of people around the building and the crowd residence time comprises:
the flow of people around the building is recorded as a, and the residence time of people is recorded as t;
and calculating the people group activity x around the building according to the people flow rate a around the building and the people group residence time t, wherein the x is g-a-t, and g is a calculation coefficient set according to any one of road information near a lamp post base station or historical people flow data.
6. The building activity calculation method based on intelligent lamp posts as claimed in claim 3, wherein the calculating of road smoothness value around the building according to vehicle information near the lamp post base station comprises:
the lamp post base station identifies vehicles passing through the area within the time period T according to the license plate information;
counting the number of vehicles passing through each lamp post base station area and recording as uiWherein i is the number of each lamp post base station around the building;
according to the number u of vehiclesiCalculating the traffic flow of each lamp post base station area according to the time period T, and recording as bi，
Figure FDA0002377756850000031
Figure FDA0002377756850000032
Wherein o is a calculation coefficient set according to any one or more of historical traffic data or regional characteristics or lamppost base station types;
counting the running speed of vehicles passing through each lamp post base station area and calculating the average value, and recording the average value as ci；
According to the traffic flow b of each lamp post base station areaiAnd average vehicle speed ciCalculating road unblocked coefficient near a lamp post base station and recording the road unblocked coefficient as vi，vi＝d·bi·ciWherein d is a calculation coefficient set according to any one of road information or historical congestion data near the lamp post base station;
according to the road smoothness coefficient v near each lamp post base stationiThe road smoothness value y around the building is calculated,
Figure FDA0002377756850000033
wherein h isiRepresenting the road clear weight for each light pole base station.
7. The intelligent light pole-based building activity calculation method according to claim 6, wherein the road clear weight of each light pole base station is calculated according to any one or more combination of the type of each light pole base station, the distance between each light pole base station and the building, and the road conditions near each light pole base station.
8. The building activity calculation method based on the intelligent lamp pole as claimed in claim 1, wherein the building activity calculation according to the people group activity around the building and the road smoothness value comprises:
the liveness of people around the building is recorded as x, and the road smoothness value is recorded as y;
calculating the building activity z according to the people group activity x around the building and the road smoothness value y, wherein the building activity z is calculated according to the people group activity x around the building and the road smoothness value y, and z is e.x.y or z is r1·x+r2Y, where e is a calculation coefficient set according to any one of building attributes or historical pedestrian and traffic data, r1And r2Is a weighting coefficient set according to any one of building attributes or historical people flow and traffic flow data.
9. A computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method of claims 1-8.
10. The utility model provides a building activeness computing system based on wisdom lamp pole which characterized in that includes:
a lamp post;
a building;
a base station controller;
a processor;
a memory;
and
one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the processor, the programs causing the computer to perform the method of claims 1-8.
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