CN112583921A - Intelligent residential area access control system based on big data and method thereof - Google Patents
Intelligent residential area access control system based on big data and method thereof Download PDFInfo
- Publication number
- CN112583921A CN112583921A CN202011485931.7A CN202011485931A CN112583921A CN 112583921 A CN112583921 A CN 112583921A CN 202011485931 A CN202011485931 A CN 202011485931A CN 112583921 A CN112583921 A CN 112583921A
- Authority
- CN
- China
- Prior art keywords
- module
- submodule
- buyer
- time
- sub
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000012384 transportation and delivery Methods 0.000 claims abstract description 72
- 238000007726 management method Methods 0.000 claims abstract description 31
- 238000013439 planning Methods 0.000 claims abstract description 11
- 238000000605 extraction Methods 0.000 claims description 22
- 230000001960 triggered effect Effects 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000012790 confirmation Methods 0.000 claims description 12
- 230000006698 induction Effects 0.000 claims description 11
- 238000010276 construction Methods 0.000 claims description 5
- 230000033228 biological regulation Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 230000001133 acceleration Effects 0.000 claims description 2
- 230000000630 rising effect Effects 0.000 claims description 2
- 238000011017 operating method Methods 0.000 claims 1
- 238000013459 approach Methods 0.000 description 1
- 238000013475 authorization Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
- G06Q10/047—Optimisation of routes or paths, e.g. travelling salesman problem
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
- G07C9/30—Individual registration on entry or exit not involving the use of a pass
- G07C9/32—Individual registration on entry or exit not involving the use of a pass in combination with an identity check
- G07C9/37—Individual registration on entry or exit not involving the use of a pass in combination with an identity check using biometric data, e.g. fingerprints, iris scans or voice recognition
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
-
- 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
- H04W4/029—Location-based management or tracking services
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/33—Services specially adapted for particular environments, situations or purposes for indoor environments, e.g. buildings
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Strategic Management (AREA)
- Human Computer Interaction (AREA)
- Quality & Reliability (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- General Health & Medical Sciences (AREA)
- Entrepreneurship & Innovation (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Tourism & Hospitality (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Emergency Management (AREA)
- Game Theory and Decision Science (AREA)
- Computing Systems (AREA)
- Medical Informatics (AREA)
- Alarm Systems (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
Abstract
The invention discloses an intelligent residential area access control system based on big data and a method thereof, the system comprises a residential area access control management platform, a takeout delivery platform, a delivery personnel mobile phone operating terminal and a buyer mobile phone operating terminal, the residential area access control management platform comprises a residential area access control module, a human face information storage module and an elevator management module, the takeout delivery platform comprises an address information storage module and a delivery planning module, the delivery personnel mobile phone operating terminal comprises a walking delivery prediction module and a positioning module, the buyer mobile phone operating terminal comprises an order taking prejudgment module, the residential area access control management platform, the takeout delivery platform, the delivery personnel mobile phone operating terminal and the buyer mobile phone operating terminal are respectively in wireless connection, the address information storage module is used for storing the address of each buyer, and the delivery planning module is used for planning the journey of each takeout rider, the invention has the characteristics of avoiding peak congestion and having high working efficiency.
Description
Technical Field
The invention relates to the technical field of community access control management, in particular to an intelligent residential area access control management system and method based on big data.
Background
The community access control system is an important security measure in daily life, and the safe, practical and humanized access control system can effectively solve the personnel management problems of hotels, residential districts and schools, on one hand, the management can be more standard, and on the other hand, the reliable security guarantee can be provided. However, when a takeaway person faces the access control system, the takeaway person usually has no right, and the takeaway person can stop at the door to wait for security personnel or residents to open the door, so that the distribution efficiency is influenced.
The patent with publication number CN110782574A discloses a method, a system and a storage medium for access control based on takeaway personnel, which is to input the face information of the takeaway personnel into an access control system to obtain temporary authority, thereby facilitating the distribution of the takeaway personnel, however, in practical application, the situation that the door opening is inconvenient when the buyer is not at home or busy can still be encountered, which causes the garbage time waiting at the door, if the buyer is left at the door without permission, the security of the hand-over can be affected, and if the buyer is allowed to wait in advance, the time of the buyer can be paid. Therefore, it is necessary to design an intelligent residential access control system and method thereof based on big data to avoid peak congestion and improve work efficiency.
Disclosure of Invention
The present invention is directed to a system and method for intelligent residential access control based on big data, so as to solve the problems mentioned in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: an intelligent residential area access control management system based on big data comprises a residential area access control management platform, a takeout delivery platform, a delivery personnel mobile phone operating end and a buyer mobile phone operating end, wherein the residential area access control management platform comprises a residential area access control module, a human face information storage module and an elevator management module, the takeout delivery platform comprises a delivery planning module, the delivery personnel mobile phone operating end comprises a walking delivery prediction module, the buyer mobile phone operating end comprises an order taking prediction module, and the residential area access control management platform, the takeout delivery platform, the delivery personnel mobile phone operating end and the buyer mobile phone operating end are respectively in wireless connection;
the delivery planning module is used for planning the travel of each take-out rider, the community entrance guard module is used for identifying personnel entering a community and judging whether the personnel are allowed to enter the community, the face information storage module is used for storing face information of the entering personnel, the elevator management module is used for managing the operation of an elevator, the walking delivery prediction module is used for estimating the time of arriving at a doorway according to the walking delivery travelling speed and the distance after the delivery personnel get off the bus, and the order taking prejudgment module is used for reminding a buyer to take the take-out in the hands of the delivery personnel within the prejudgment time.
According to the technical scheme, the face information storage module comprises a resident face information storage submodule and a temporary face information storage submodule, the community entrance guard module comprises a face image extraction submodule, a community entrance gate control submodule, a timing submodule, a visitor registration module, an infrared induction submodule and an alarm submodule, the face image extraction submodule, the community entrance gate control submodule and the timing submodule are sequentially and electrically connected, and the visitor registration module, the infrared induction submodule and the alarm submodule are sequentially and electrically connected;
the resident face information storage submodule is used for storing face information of resident persons in a community, the temporary face information storage submodule is used for storing face information of takeout distribution personnel and the like with temporary community entering rights, the face image extraction submodule is used for extracting face information shot nearby a gate, the face information is compared and judged with two modules storing the face information, the face information of temporary visitors is stored, the community entrance gate control submodule is used for controlling the opening and closing of an entrance gate according to the information of the face image extraction submodule, the timing submodule is used for recording the time when the temporary persons enter the community, the visitor registration module is used for registering the purpose that each community has very resident person visiting the community, the infrared induction submodule is used for sensing the number of persons entering the community, and the alarm submodule is used for carrying out alarm processing according to persons who enter the community without face recognition and without permission .
According to the technical scheme, the list taking pre-judging module comprises a space positioning module submodule, an indoor space component submodule, a list taking path fitting submodule, a time calculating submodule and a list taking reminding module; the space positioning module submodule, the indoor space component submodule, the single-path taking fitting submodule and the time calculating submodule are electrically connected in sequence, and the taking reminding module is electrically connected with the time calculating submodule and the walking distribution predicting module;
the system comprises a space positioning submodule, an indoor space building module, an order taking path fitting submodule, a time calculating submodule and an order taking reminding module, wherein the space positioning submodule is used for positioning the real-time position of a buyer after the buyer enters a door in real time, the indoor space building module is used for counting the path which the buyer daily walks to form an indoor movable space by utilizing big data, the order taking path fitting submodule is used for making a fitting curve from the current position to the path of the door according to the position of the buyer in the room, the time calculating submodule is used for calculating the time from the buyer to the door according to the distance of the fitting curve and the daily walking speed, and the order taking reminding module is used for reminding the buyer of.
According to the technical scheme, the fetching reminding module comprises an acousto-optic reminding sub-module and a flicker frequency adjusting sub-module, the acousto-optic reminding sub-module is electrically connected with the flicker frequency adjusting sub-module, and the flicker frequency adjusting sub-module is respectively electrically connected with the time calculating sub-module and the walking distribution predicting module;
the acousto-optic reminding sub-module is used for reminding a buyer to go to a door to pick up a bill through an acousto-optic flickering signal, and the flickering frequency adjusting sub-module is used for comparing the time of a distributor sending the distributor to the door with the time of the buyer arriving at the door and indicating the flickering frequency of the acousto-optic reminding sub-module.
According to the technical scheme, the walking delivery prediction module comprises a walking induction sub-module and a walking estimation sub-module, the mobile phone terminal of the buyer further comprises a home-returning path fitting module, the elevator management module comprises a floor counting sub-module and an elevator upstairs timing sub-module, the floor counting sub-module is electrically connected with the elevator upstairs timing sub-module, the elevator upstairs timing sub-module is electrically connected with the walking estimation sub-module, and the walking induction sub-module is electrically connected with the walking estimation sub-module;
the system comprises a walking sensing submodule, a home-returning path fitting module, a floor counting submodule and an elevator upstairs timing submodule, wherein the walking sensing submodule is used for judging whether a dispenser is riding or walking and starts to calculate the time from the dispenser to a door, the home-returning path fitting module is used for recording and fitting the path from a downstair to a home of a user through big data, the floor counting submodule is used for recording the number of times of upstairs pause, and the elevator upstairs timing submodule is used for estimating the time of an elevator upstairs according to the number of times of pause and the speed of the elevator.
According to the technical scheme, the visitor registration module comprises a voice recording sub-module and a voice comparison sub-module, the buyer mobile phone end further comprises a visitor permission confirmation module, and the voice recording sub-module, the voice comparison sub-module and the visitor permission confirmation module are all electrically connected with the cell entrance gate control sub-module;
the voice recording sub-module is used for recording voice information of a visiting reason of the visitor, the voice comparison sub-module is used for comparing the visiting reason with the voice information of the reason provided by the buyer, and the visitor permission confirmation module is used for inputting the visiting reason in advance for the resident before the visitor comes.
A working method of an intelligent residential area access control system based on big data comprises the following specific steps:
s1-1, before the visitor visits, the resident uses the buyer operating end to give an instruction to the control submodule of the cell entrance gate, and the instruction is given while the address information is remarked;
s1-2, before takeout delivery, giving temporary authority to a deliverer through a takeout delivery platform, and putting the face information of the deliverer into a library of a temporary face information storage submodule;
s1-3, when the residential community residents go home with the mobile phone of the buyer operation terminal, recording the home-going path by using the home-going path fitting module, recording the indoor path by using the indoor space construction module, and transmitting the path information to the takeout distribution platform;
s2-1, when the visitor comes to the door, the visitor registering module speaks the visiting purpose and the specific position of the resident in a small voice mode, and after checking, the entrance gate control submodule of the community opens the door;
s2-2, when the distributor comes to the door, the face is aligned with the face image extraction submodule and is compared with the stored face information, if the face is matched with the stored face information, the door is opened, and the timing submodule is triggered to record the time of the distributor entering the cell;
s2-3, when the visitor has no reason for visiting or is not communicated in advance, the face is aligned to the face image extraction submodule to store the face information, the visitor registration module is spoken to the aim and input time, and the timing submodule is triggered to time;
s3, checking the number of people entering the cell by using the infrared sensing submodule, and triggering the alarm function of the alarm submodule if people are found to break into the cell by force;
s3, when the visitor who inputs time goes out or the takeaway goes out, the face is twisted to the face image extraction submodule to carry out going-out confirmation, and if the visitor does not go out after reaching the preset time, the alarm function of the alarm submodule is triggered;
s4, when the distributor enters the district and stops downstairs, the elevator upstairs timing submodule estimates the distribution time, the distribution time is compared with the order taking time estimated by the domestic buyer through the time calculating submodule, if the latter is smaller than the former, the acousto-optic reminding submodule is triggered to remind the buyer, and the flicker frequency adjusting submodule is used for adjusting the flicker frequency to remind the buyer of going fast or slow.
According to the technical scheme, the delivery time estimated by the elevator upstairs timing submodule is
Where l is the distance the dispenser walks to the doorway, v1The speed of travel of the dispenser, n the number of stops of the elevator at each floor, v2The rising speed of the elevator, a, the acceleration of the elevator, and P, the height of the floor.
According to the above technical scheme, the time calculation submodule estimates the order taking time as
Where h is the total distance traveled by the buyer to the doorway, v3Average walking speed for the buyer.
According to the technical scheme, the calculation formula of the acousto-optic frequency f of the flicker frequency regulation submodule is
Wherein u is a set parameter.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the time of delivery personnel arriving at the gate and the time of taking out the takeaway by the buyer can be predicted by arranging the modules such as the community access control management platform, the takeaway delivery platform and the like, so that the buyer is accurately reminded, and the phenomenon that the delivery personnel wait at the gate is prevented; through being provided with the pronunciation record submodule piece, can compare through the visitor's the reason of visiting with the reason that the resident family input in advance, give of gate permission through the mode of automatic judgement, need not security personnel and inquire one by one, saved security personnel's work load greatly.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic view of the overall structure of the present invention;
FIG. 2 is a schematic of the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: an intelligent residential area access control management system based on big data comprises a residential area access control management platform, a takeout delivery platform, a delivery personnel mobile phone operation end and a buyer mobile phone operation end, wherein the residential area access control management platform comprises a residential area access control module, a human face information storage module and an elevator management module, the takeout delivery platform comprises a delivery planning module, the delivery personnel mobile phone operation end comprises an order receiving module and a walking delivery prediction module, the buyer mobile phone operation end comprises an order taking prediction module, and the residential area access control management platform, the takeout delivery platform, the delivery personnel mobile phone operation end and the buyer mobile phone operation end are respectively in wireless connection;
the delivery planning module is used for planning the travel of each takeout rider, the district entrance guard module is used for identifying personnel entering a district and judging whether to give access authority or not, the face information storage module is used for storing face information of the entering personnel, the elevator management module is used for managing the operation of an elevator, the walking delivery prediction module is used for estimating the time of arriving at a gate according to the walking delivery speed and the distance after the delivery personnel get off, the order taking pre-judgment module is used for reminding a buyer of taking takeout of hands of the delivery personnel within the pre-judgment time, when the delivery personnel take an order, the takeout delivery platform sends the face information of the delivery personnel to the district entrance guard management platform, the district entrance guard module is used for giving the temporary authority of the delivery personnel to enter the district, the delivery personnel can be delivered smoothly without waiting, after the delivery personnel enter the district, the buyer can remind the order taking through the order taking pre-judgment module according to the arrival time of the takeout personnel predicted by the walking delivery prediction module, the time for the takeout personnel to wait for taking the goods at the door is not delayed;
the face information storage module comprises a resident face information storage submodule and a temporary face information storage submodule, the community entrance guard module comprises a face image extraction submodule, a community entrance gate control submodule, a timing submodule, a visitor registration module, an infrared induction submodule and an alarm submodule, the face image extraction submodule, the community entrance gate control submodule and the timing submodule are electrically connected in sequence, and the visitor registration module, the infrared induction submodule and the alarm submodule are electrically connected in sequence;
the resident face information storage submodule is used for storing face information of resident persons in a community, the temporary face information storage submodule is used for storing face information of takeout distribution personnel and the like with temporary community entering rights, the face image extraction submodule is used for extracting face information shot nearby a gate and comparing and judging the face information with two modules for storing the face information, and storing face information of temporary visitors, the community entrance gate control submodule is used for controlling the opening and closing of an entrance gate according to the information of the face image extraction submodule, the timing submodule is used for recording the time of the temporary persons entering the community, the visitor registration module is used for registering the purpose that each community has very resident persons to visit the community, the infrared sensing submodule is used for sensing the number of persons entering the community, the alarm submodule is used for carrying out alarm processing according to persons which do not enter the community through face recognition and do not have authority to enter the community, when a person enters the entrance gate, the face image extraction submodule is firstly utilized to perform face identification, the person can enter the cell after successful identification, if the identification fails or the person breaks through the gate without authorization, an alarm is triggered, the safety of the gate of the cell is greatly improved, and in addition, visitors entering the cell can be directly registered at the gate to indicate the reason for entering the cell, so that the method is simple and quick, the visitors do not need to be registered at a guard, and the efficiency of entering and exiting the cell is improved on the premise of ensuring the safety;
the single taking pre-judging module comprises a space positioning module submodule, an indoor space component submodule, a single taking path fitting submodule, a time calculating submodule and a single taking reminding module; the space positioning module submodule, the indoor space component submodule, the single-path-taking fitting submodule and the time calculation submodule are electrically connected in sequence, and the taking reminding module is electrically connected with the time calculation submodule and the walking distribution prediction module;
the system comprises a space positioning sub-module, an indoor space construction module, a single-taking path fitting sub-module, a time calculation sub-module, a reminding module and a space positioning sub-module, wherein the space positioning sub-module is used for positioning the real-time position of a buyer after entering a door in real time, the indoor space construction module is used for counting the path the buyer daily walks to form an indoor movable space by utilizing big data, the single-taking path fitting sub-module is used for making a fitting curve from the current position to the path from the door according to the position of the buyer in the room, the time calculation sub-module is used for calculating the time from the buyer to the door according to the distance of the fitting curve and the daily walking speed, the reminding module is used for reminding the buyer to get a single from the door by utilizing acousto-optic information according to the estimated time from the distributor to the door, the space positioning function is started after the buyer enters the door, the mobile phone moves indoors along with the daily action of, when the delivery personnel approach, the time of the delivery personnel arriving at the gate obtained by the walking delivery prediction module is compared with the time of the delivery personnel arriving at the gate after the delivery personnel finish walking the current path, and the buyer is reminded by taking the reminding module, so that the buyer just opens the door when the delivery personnel just arrive at the gate, and the waiting time of the take-out personnel at the gate is saved;
the taking reminding module comprises an acousto-optic reminding sub-module and a flicker frequency adjusting sub-module, the acousto-optic reminding sub-module is electrically connected with the flicker frequency adjusting sub-module, and the flicker frequency adjusting sub-module is respectively electrically connected with the time calculating sub-module and the walking distribution predicting module;
the acousto-optic reminding sub-module is used for reminding a buyer to go to a door to get an order through an acousto-optic flickering signal, the flickering frequency adjusting sub-module is used for comparing the time of a distributor sending the order to the door with the time of the buyer arriving at the door and indicating the flickering frequency of the acousto-optic reminding sub-module, when the buyer is large, the buyer possibly is far away from the door at the moment, namely a family with a multi-storey attic or a family with a single villa, the buyer needs to walk for a long distance and needs to be pre-judged for a long distance, and when the delivery personnel speed changes and can cause untimely delivery, the time predicted by the time calculating sub-module and the walking distribution prediction module is input into the flickering frequency adjusting sub-module, the pre-judged time of getting the order is relative to the arrival time proportion of the distributor to adjust the acousto-optic frequency of the acousto-optic, the phenomenon that any party waits due to too high or too low walking speed is avoided;
the system comprises a buyer mobile phone end, an elevator management module, a walking distribution prediction module, a walking estimation time sub-module and a home-returning path fitting module, wherein the elevator management module comprises a floor counting sub-module and an elevator upstairs-going timing sub-module;
the walking sensing sub-module is used for judging whether the deliverer is riding the bicycle for delivery or walking for delivery, and triggering the walking timing sub-module to calculate the time from the deliverer to a gate, the home-returning path fitting module is used for recording and fitting a path from a user to a home from a floor, the floor counting sub-module is used for recording the number of times of pause of going upstairs, the elevator going-upstairs timing sub-module is used for estimating the time of going upstairs according to the number of times of pause and the speed of the elevator, when the deliverer enters the floor, the walking estimation sub-module is used for electrically connecting for timing, and the time from the deliverer to the gate is estimated by combining the walking time and the time of the elevator, so that the phenomenon that the buyer waits at the gate in advance or the buyer;
the visitor registration module comprises a voice recording sub-module and a voice comparison sub-module, the buyer mobile phone end also comprises a visitor permission confirmation module, and the voice recording sub-module, the voice comparison sub-module and the visitor permission confirmation module are all electrically connected with the cell entrance gate control sub-module;
the voice recording submodule is used for recording voice information of the visiting reason of the visitor, the voice comparison submodule is used for comparing the visiting reason with the reason voice information provided by the buyer, the visitor permission confirmation module is used for inputting the visiting reason into the resident before the visitor in advance, when the visitor enters, the visiting reason of the visitor can be compared with the reason input in advance by the resident, gate permission is given in an automatic judgment mode, the inquiry of security personnel is not needed, and the workload of the security personnel is greatly saved;
a working method of an intelligent residential area access control system based on big data comprises the following specific steps:
s1-1, before the visitor visits, the resident uses the buyer operating end to give an instruction to the control submodule of the cell entrance gate, and the instruction is given while the address information is remarked;
s1-2, before takeout delivery, giving temporary authority to a deliverer through a takeout delivery platform, and putting the face information of the deliverer into a library of a temporary face information storage submodule;
s1-3, when the residential community residents go home with the mobile phone of the buyer operation terminal, recording the home-going path by using the home-going path fitting module, recording the indoor path by using the indoor space construction module, and transmitting the path information to the takeout distribution platform;
s2-1, when the visitor comes to the door, the visitor registering module speaks the visiting purpose and the specific position of the resident in a small voice mode, and after checking, the entrance gate control submodule of the community opens the door;
s2-2, when the distributor comes to the door, the face is aligned with the face image extraction submodule and is compared with the stored face information, if the face is matched with the stored face information, the door is opened, and the timing submodule is triggered to record the time of the distributor entering the cell;
s2-3, when the visitor has no reason for visiting or is not communicated in advance, the face is aligned to the face image extraction submodule to store the face information, the visitor registration module is spoken to the aim and input time, and the timing submodule is triggered to time;
s3, checking the number of people entering the cell by using the infrared sensing submodule, and triggering the alarm function of the alarm submodule if people are found to break into the cell by force;
s3, when the visitor who inputs time goes out or the takeaway goes out, the face is twisted to the face image extraction submodule to carry out going-out confirmation, and if the visitor does not go out after reaching the preset time, the alarm function of the alarm submodule is triggered;
s4, when a distributor enters a cell and stops downstairs, the distribution time is estimated by the elevator upstairs timing submodule, and is compared with the order taking time estimated by a domestic buyer by the time calculation submodule, if the latter is smaller than the former, the acousto-optic reminding submodule is triggered to remind the buyer, and the flicker frequency adjusting submodule is used for adjusting the flicker frequency to remind the buyer of going fast or slow, the working mode comprehensively considers a takeout person, realizes appointed visitors and temporary decision of the entering visitors, retains the information of all visitors, realizes the documented check, eliminates the potential safety hazard of the cell comprehensively, ensures the efficiency of the entering person, and reduces the working burden of security personnel;
the elevator upstairs timing submodule estimates the delivery time as
Where l is the distance the dispenser walks to the doorway, v1The speed of travel of the dispenser, n the number of stops of the elevator at each floor, v2The calculation method considers various parameters of the elevator operation influencing the speed and improves the accuracy of time prediction;
the time calculation submodule estimates the order taking time as
Where h is the total distance traveled by the buyer to the doorway, v3Average walking speed for buyerThe method utilizes an estimation mode to deduce the time of the buyer arriving at the gate, so that the buyer has data in mind and does not need to repeatedly watch the mobile phone to judge whether the takeout is close.
The calculation formula of the acousto-optic frequency f of the flicker frequency regulation submodule is
U is a set parameter, and through adjustment and implementation estimation of the flicker frequency, the buyer is urged to accelerate by using the faster flicker frequency when the time of the distributor for the buyer to arrive at the door is fast, and the takeout speed can be adjusted according to the out-of-state emergency degree when the buyer is in fact, so that the speed is always accurately matched and can be flexibly adjusted.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides an intelligent residential district entrance guard management system based on big data which characterized in that: the system comprises a residential quarter entrance guard management platform, a takeout delivery platform, a mobile phone operation end of a delivery person and a mobile phone operation end of a buyer, wherein the residential quarter entrance guard management platform comprises a residential quarter entrance guard module, a human face information storage module and an elevator management module;
the delivery planning module is used for planning the travel of each take-out rider, the community entrance guard module is used for identifying personnel entering a community and judging whether the personnel are allowed to enter the community, the face information storage module is used for storing face information of the entering personnel, the elevator management module is used for managing the operation of an elevator, the walking delivery prediction module is used for estimating the time of arriving at a doorway according to the walking delivery travelling speed and the distance after the delivery personnel get off the bus, and the order taking prejudgment module is used for reminding a buyer to take the take-out in the hands of the delivery personnel within the prejudgment time.
2. The intelligent residential access control system based on big data of claim 1, wherein: the face information storage module comprises a resident face information storage submodule and a temporary face information storage submodule, the community entrance guard module comprises a face image extraction submodule, a community entrance gate control submodule, a timing submodule, a visitor registration module, an infrared induction submodule and an alarm submodule, the face image extraction submodule, the community entrance gate control submodule and the timing submodule are electrically connected in sequence, and the visitor registration module, the infrared induction submodule and the alarm submodule are electrically connected in sequence;
the resident face information storage submodule is used for storing face information of resident persons in a community, the temporary face information storage submodule is used for storing face information of takeout distribution personnel and the like with temporary community entering rights, the face image extraction submodule is used for extracting face information shot nearby a gate, the face information is compared and judged with two modules storing the face information, the face information of temporary visitors is stored, the community entrance gate control submodule is used for controlling the opening and closing of an entrance gate according to the information of the face image extraction submodule, the timing submodule is used for recording the time when the temporary persons enter the community, the visitor registration module is used for registering the purpose that each community has very resident person visiting the community, the infrared induction submodule is used for sensing the number of persons entering the community, and the alarm submodule is used for carrying out alarm processing according to persons who enter the community without face recognition and without permission .
3. The intelligent residential access control system based on big data of claim 2, wherein: the list taking prejudging module comprises a space positioning module submodule, an indoor space component submodule, a list taking path fitting submodule, a time calculating submodule and a list taking reminding module; the space positioning module submodule, the indoor space component submodule, the single-path taking fitting submodule and the time calculating submodule are electrically connected in sequence, and the taking reminding module is electrically connected with the time calculating submodule and the walking distribution predicting module;
the system comprises a space positioning submodule, an indoor space building module, an order taking path fitting submodule, a time calculating submodule and an order taking reminding module, wherein the space positioning submodule is used for positioning the real-time position of a buyer after the buyer enters a door in real time, the indoor space building module is used for counting the path which the buyer daily walks to form an indoor movable space by utilizing big data, the order taking path fitting submodule is used for making a fitting curve from the current position to the path of the door according to the position of the buyer in the room, the time calculating submodule is used for calculating the time from the buyer to the door according to the distance of the fitting curve and the daily walking speed, and the order taking reminding module is used for reminding the buyer of.
4. The intelligent residential access control system based on big data of claim 3, wherein: the taking reminding module comprises an acousto-optic reminding sub-module and a flicker frequency adjusting sub-module, the acousto-optic reminding sub-module is electrically connected with the flicker frequency adjusting sub-module, and the flicker frequency adjusting sub-module is respectively electrically connected with the time calculating sub-module and the walking distribution predicting module;
the acousto-optic reminding sub-module is used for reminding a buyer to go to a door to pick up a bill through an acousto-optic flickering signal, and the flickering frequency adjusting sub-module is used for comparing the time of a distributor sending the distributor to the door with the time of the buyer arriving at the door and indicating the flickering frequency of the acousto-optic reminding sub-module.
5. The intelligent residential access control system based on big data of claim 4, wherein: the system comprises a buyer mobile phone terminal, an elevator management module, a walking distribution prediction module, a walking estimation time sub-module, a home-returning path fitting module, a mobile phone terminal and a mobile phone terminal, wherein the walking distribution prediction module comprises a walking induction sub-module and a walking estimation time sub-module;
the system comprises a walking sensing submodule, a home-returning path fitting module, a floor counting submodule and an elevator upstairs timing submodule, wherein the walking sensing submodule is used for judging whether a dispenser is riding or walking and starts to calculate the time from the dispenser to a door, the home-returning path fitting module is used for recording and fitting the path from a downstair to a home of a user through big data, the floor counting submodule is used for recording the number of times of upstairs pause, and the elevator upstairs timing submodule is used for estimating the time of an elevator upstairs according to the number of times of pause and the speed of the elevator.
6. The intelligent residential access control system based on big data of claim 5, wherein: the visitor registration module comprises a voice recording sub-module and a voice comparison sub-module, the buyer mobile phone end further comprises a visitor permission confirmation module, and the voice recording sub-module, the voice comparison sub-module and the visitor permission confirmation module are all electrically connected with the cell entrance gate control sub-module;
the voice recording sub-module is used for recording voice information of a visiting reason of the visitor, the voice comparison sub-module is used for comparing the visiting reason with the voice information of the reason provided by the buyer, and the visitor permission confirmation module is used for inputting the visiting reason in advance for the resident before the visitor comes.
7. A working method of an intelligent residential area access control system based on big data comprises the following specific steps:
s1-1, before the visitor visits, the resident uses the buyer operating end to give an instruction to the control submodule of the cell entrance gate, and the instruction is given while the address information is remarked;
s1-2, before takeout delivery, giving temporary authority to a deliverer through a takeout delivery platform, and putting the face information of the deliverer into a library of a temporary face information storage submodule;
s1-3, when the residential community residents go home with the mobile phone of the buyer operation terminal, recording the home-going path by using the home-going path fitting module, recording the indoor path by using the indoor space construction module, and transmitting the path information to the takeout distribution platform;
s2-1, when the visitor comes to the door, the visitor registering module speaks the visiting purpose and the specific position of the resident in a small voice mode, and after checking, the entrance gate control submodule of the community opens the door;
s2-2, when the distributor comes to the door, the face is aligned with the face image extraction submodule and is compared with the stored face information, if the face is matched with the stored face information, the door is opened, and the timing submodule is triggered to record the time of the distributor entering the cell;
s2-3, when the visitor has no reason for visiting or is not communicated in advance, the face is aligned to the face image extraction submodule to store the face information, the visitor registration module is spoken to the aim and input time, and the timing submodule is triggered to time;
s3, checking the number of people entering the cell by using the infrared sensing submodule, and triggering the alarm function of the alarm submodule if people are found to break into the cell by force;
s3, when the visitor who inputs time goes out or the takeaway goes out, the face is twisted to the face image extraction submodule to carry out going-out confirmation, and if the visitor does not go out after reaching the preset time, the alarm function of the alarm submodule is triggered;
s4, when the distributor enters the district and stops downstairs, the elevator upstairs timing submodule estimates the distribution time, the distribution time is compared with the order taking time estimated by the domestic buyer through the time calculating submodule, if the latter is smaller than the former, the acousto-optic reminding submodule is triggered to remind the buyer, and the flicker frequency adjusting submodule is used for adjusting the flicker frequency to remind the buyer of going fast or slow.
8. The operation method of the big-data-based intelligent residential access control system according to claim 7, wherein: the elevator upstairs timing submodule estimates the delivery time as
Where l is the distance the dispenser walks to the doorway, v1The speed of travel of the dispenser, n the number of stops of the elevator at each floor, v2The rising speed of the elevator, a, the acceleration of the elevator, and P, the height of the floor.
9. The operating method of the big-data-based intelligent residential access control system according to claim 8, wherein: the time calculation submodule estimates a fetch time of
Where h is the total distance traveled by the buyer to the doorway, v3Average walking speed for the buyer.
10. The operation method of the big-data-based intelligent residential access control system according to claim 9, wherein: the calculation formula of the acousto-optic frequency f of the flicker frequency regulation submodule is
Wherein u is a set parameter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011485931.7A CN112583921B (en) | 2020-12-16 | 2020-12-16 | Intelligent residential district access control management system and method based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011485931.7A CN112583921B (en) | 2020-12-16 | 2020-12-16 | Intelligent residential district access control management system and method based on big data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112583921A true CN112583921A (en) | 2021-03-30 |
| CN112583921B CN112583921B (en) | 2024-06-18 |
Family
ID=75135612
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011485931.7A Active CN112583921B (en) | 2020-12-16 | 2020-12-16 | Intelligent residential district access control management system and method based on big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112583921B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005012295A (en) * | 2003-06-17 | 2005-01-13 | Aruze Corp | Business communication platform system |
| JP2010039961A (en) * | 2008-08-08 | 2010-02-18 | Saroute:Kk | Delivery operation support system, and delivery prediction time calculation method and program |
| CN105761339A (en) * | 2016-01-29 | 2016-07-13 | 成都比善科技开发有限公司 | Community access control system and method |
| CN208044695U (en) * | 2018-04-25 | 2018-11-02 | 私立华联学院 | The entrance guard device of estate management |
| TW201905782A (en) * | 2017-06-26 | 2019-02-01 | 曾書祥 | The new website surrogate shopper delivery system for the buyer to buy without having to go out by paying the appropriate amount of the Take-out delivery service fee |
| CN109711769A (en) * | 2018-12-06 | 2019-05-03 | 遵义汇峰智能系统有限责任公司 | A kind of intelligent monitor system for cell |
| CN110766849A (en) * | 2019-10-24 | 2020-02-07 | 武汉菲旺软件技术有限责任公司 | Method, device, equipment and medium for automatically identifying foreign personnel by community access control |
| CN110782574A (en) * | 2019-09-10 | 2020-02-11 | 恒大智慧科技有限公司 | Access control method, system and storage medium based on takeaway personnel |
| CN111612400A (en) * | 2020-05-22 | 2020-09-01 | 上海明略人工智能(集团)有限公司 | Distribution time length prediction method and device |
| CN111800739A (en) * | 2020-06-22 | 2020-10-20 | 河南理工大学 | Rider meal delivery navigation automatic dialing system and working process |
-
2020
- 2020-12-16 CN CN202011485931.7A patent/CN112583921B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005012295A (en) * | 2003-06-17 | 2005-01-13 | Aruze Corp | Business communication platform system |
| JP2010039961A (en) * | 2008-08-08 | 2010-02-18 | Saroute:Kk | Delivery operation support system, and delivery prediction time calculation method and program |
| CN105761339A (en) * | 2016-01-29 | 2016-07-13 | 成都比善科技开发有限公司 | Community access control system and method |
| TW201905782A (en) * | 2017-06-26 | 2019-02-01 | 曾書祥 | The new website surrogate shopper delivery system for the buyer to buy without having to go out by paying the appropriate amount of the Take-out delivery service fee |
| CN208044695U (en) * | 2018-04-25 | 2018-11-02 | 私立华联学院 | The entrance guard device of estate management |
| CN109711769A (en) * | 2018-12-06 | 2019-05-03 | 遵义汇峰智能系统有限责任公司 | A kind of intelligent monitor system for cell |
| CN110782574A (en) * | 2019-09-10 | 2020-02-11 | 恒大智慧科技有限公司 | Access control method, system and storage medium based on takeaway personnel |
| CN110766849A (en) * | 2019-10-24 | 2020-02-07 | 武汉菲旺软件技术有限责任公司 | Method, device, equipment and medium for automatically identifying foreign personnel by community access control |
| CN111612400A (en) * | 2020-05-22 | 2020-09-01 | 上海明略人工智能(集团)有限公司 | Distribution time length prediction method and device |
| CN111800739A (en) * | 2020-06-22 | 2020-10-20 | 河南理工大学 | Rider meal delivery navigation automatic dialing system and working process |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112583921B (en) | 2024-06-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105761339B (en) | A kind of cell entrance guard management system and method | |
| CN105584910B (en) | The method and system of scheduling elevator cars in group elevator system | |
| JP5091544B2 (en) | Indoor air conditioning management system | |
| CN108428274A (en) | A kind of Property Management of residence gate inhibition based on recognition of face and disengaging management method | |
| CN108694543A (en) | Community sends express delivery method with charge free automatically and community sends express system with charge free automatically | |
| CN108320558B (en) | Intelligent navigation garage-based reservation service system and control method thereof | |
| CN109748164A (en) | A kind of robot and elevator exchange method and system | |
| KR100991477B1 (en) | Method and system for controlling building communal facilities using rfid-based rtls | |
| CN104599354A (en) | Intelligence control system based on mobile terminal identity verification and position perception and method | |
| CN108320561B (en) | Navigation system based on intelligent garage and control method thereof | |
| CN207194581U (en) | Vehicle Input System based on multi-storied garage | |
| CN110291569A (en) | A kind of relevant video and lighting system for parking management and control | |
| US11941569B2 (en) | Entity path tracking and automation | |
| CN109685482B (en) | Intelligent building management method, system and application of human, machine and object information fusion | |
| US11676433B2 (en) | Enhanced property access with video analytics | |
| CN109711769A (en) | A kind of intelligent monitor system for cell | |
| CN106920298A (en) | A kind of access control method based on wireless communication technique, apparatus and system | |
| CN109785487A (en) | A kind of unit building entrance guard security system based on Computer Control Technology | |
| CN108320559A (en) | Garage navigation system based on guide plate and its control method | |
| CN207671480U (en) | A kind of elevator control system based on recognition of face | |
| CN112583921A (en) | Intelligent residential area access control system based on big data and method thereof | |
| CN109949443A (en) | A kind of intelligent caller shutdown system for residential quarters parking lot | |
| CN115879582B (en) | Hotel intelligent check-in management system based on face recognition | |
| CN108320562A (en) | The garage navigation system and its control method based on bluetooth locked | |
| CN108320035A (en) | Vehicle washing system based on intelligent navigation garage and its control method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20240509 Address after: No. 140, Zhenxing Road, Dahuan farm, Jianli County, Jingzhou City, Hubei Province 433300 Applicant after: Yan Hongxia Country or region after: China Address before: No.103, Huancheng West Road, Jiangpu street, Pukou District, Nanjing City, Jiangsu Province, 210000 Applicant before: Xiong Zhen Country or region before: China |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant |