CN109448165A - Bus stream of people's statistical analysis system based on NB-IOT - Google Patents
Bus stream of people's statistical analysis system based on NB-IOT Download PDFInfo
- Publication number
- CN109448165A CN109448165A CN201811075472.8A CN201811075472A CN109448165A CN 109448165 A CN109448165 A CN 109448165A CN 201811075472 A CN201811075472 A CN 201811075472A CN 109448165 A CN109448165 A CN 109448165A
- Authority
- CN
- China
- Prior art keywords
- bus
- information
- people
- iot
- uploaded
- 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.)
- Pending
Links
Classifications
-
- 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
- G07C9/38—Individual registration on entry or exit not involving the use of a pass with central registration
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06M—COUNTING MECHANISMS; COUNTING OF OBJECTS NOT OTHERWISE PROVIDED FOR
- G06M1/00—Design features of general application
- G06M1/08—Design features of general application for actuating the drive
- G06M1/10—Design features of general application for actuating the drive by electric or magnetic means
- G06M1/101—Design features of general application for actuating the drive by electric or magnetic means by electro-optical means
Abstract
Bus stream of people's statistical analysis system based on NB-IOT that the invention discloses a kind of, pass through two-way infrared sensor, central processing unit, NB-IOT (Narrow Band Internet of Things, narrowband Internet of Things) composition detection node, it is respectively arranged in the car door position position of getting on or off the bus of bus, can real-time dynamic monitoring judge the number situation of passenger getting on/off, it is detected by central processing unit, screening, count the real-time people information of bus, via the NB-IOT of LPWAN technology by information of vehicles, dynamic realtime monitoring passenger on public transport quantity is uploaded to cloud server.The data of each network statistics is carried out by cloud server to summarize, the quickly people information of analysis city bus net, and it traffic control operating agency is presented to by visualization interface can realize the acquisition and analysis of city intelligent traffic data, it is formed simultaneously the big data platform of urban public transport information, provides gross data basis to solve urban traffic blocking.
Description
Technical field
The present invention relates to internet of things field, and in particular to a kind of bus stream of people statistical analysis system based on NB-IOT
System.
Background technique
As traffic is increasingly flourishing, movement of population increases, and there are two types of the approximate schemes of existing market.
Scheme one:
Camera deep learning recognition detection method, by being shot to passenger area on vehicle in the way of vehicle-mounted camera
Then it is identified by deep learning algorithm, further identification counts the quantity of passenger on vehicle, though this method dynamic detects
Passenger's flowing, but since deep learning method needs are trained a large amount of data sample, thus the development cycle is longer；The
Two, infull disadvantage is identified due to depositing when vehicle-mounted complex environment and more passengers quantity；Third, maintenance cost is higher, and
Camera hardware requirement is higher, and purchase cost is high, and the development cycle is long, and making it, there are obvious short slabs；4th, it acquires and counts
Data fail to be uploaded to cloud, just for the statistics of this vehicle people information, fail to reach networking Macro or mass analysis traffic big data
Purpose.
Scheme two:
Infrared sensor single machine detection method is examined using infrared sensor needle passenger getting on/off region or bus stop
It surveys, and carries out statistics in terminal and summarize, shown by way of charactron, though whether this method effectively can detect passenger
Upper and lower bus, and by visual result show, but it is counted just for the flow of the people information of detection position, is failed
Reach information mutually to pass, analyze and summarize, thus bus actual persons stream can not be carried out and counted；Second, lack network communication
Ability, fails further to summarize bus people information and is uploaded to cloud platform, is next step traffic big data and wisdom city
City's traffic provides good basis.
The technical disadvantages of existing scheme are as follows:
1), using traditional data interactive mode, power consumption is high, and flow consumption is more, and operation cost is high；
2), using other hardware solutions, such as camera deep learning recognition detection method or infrared sensor single machine
First detection method needs to put into a large amount of research and development time and research staff, and test period is long, and in context of detection identification, there are bright
Aobvious mistaken ideas；Early period, research and development were with high costs, and later maintenance cost is also high, so that this scheme is unable to get preferably in the now stage
Application.Second is that failing to be connected to urban transportation cloud platform in time because both schemes are single machine scheme, lack expansible
Property, fail to provide good basis for next step traffic big data and smart city traffic.
Summary of the invention
In view of this, in order to solve the above problem in the prior art, the present invention proposes a kind of public transport based on NB-IOT
Vehicle stream of people's statistical analysis system relies on Internet of Things and cloud platform to carry out information biography in conjunction with existing low-cost and high-precision sensor
Defeated, handy big data platform is for statistical analysis to public transport car data, realizes wisdom traffic, precise positioning, and data transparency is easy to
Management.
The present invention is solved the above problems by following technological means:
A kind of bus stream of people's statistical analysis system based on NB-IOT, comprising:
It gets on the bus detection node, is installed on the door position of getting on the bus of bus, judge passenger loading for real-time dynamic monitoring
People information, and information of vehicles, the people information got on the bus are uploaded to big data server by cloud platform；
It gets off detection node, is installed on the door position of getting off of bus, judge passenger getting off car for real-time dynamic monitoring
People information, and information of vehicles, the people information got off are uploaded to big data server by cloud platform；
Big data server summarizes for the people information of each network to be carried out statistics, quickly analyzes city bus net
People information, and by visualization interface be presented to traffic control operating agency can realize the acquisition of city intelligent traffic data with point
Analysis, is formed simultaneously the big data platform of urban public transport information.
Further, the detection node of getting on the bus includes:
First two-way infrared sensor is carried out for infrared tube in when outer infrared tube detects that someone passes through, activating
Detection, when both detecting someone, is then determined with passenger loading, then the number of getting on the bus of corresponding statistics is increase accordingly, and on
Reach the first central processing unit；
First central processing unit, for detecting, screening, counting people information that bus is got on the bus in real time and be uploaded to first
NB-IOT Internet of Things mould group；
First NB-IOT Internet of Things mould group monitors information of vehicles, dynamic realtime for the NB-IOT via LPWAN technology
The people information that bus is got on the bus is uploaded to big data server.
Further, the detection node of getting off includes:
Second two-way infrared sensor, for activating outer infrared tube to carry out when interior infrared tube detects that someone passes through
Detection, when both detecting someone, is then determined with passenger getting off car, then the number of getting off of corresponding statistics is increase accordingly, and on
Reach the second central processing unit；
Second central processing unit, for detecting, screening, counting people information that bus is got off in real time and be uploaded to first
NB-IOT Internet of Things mould group；
2nd NB-IOT Internet of Things mould group monitors information of vehicles, dynamic realtime for the NB-IOT via LPWAN technology
The people information that bus is got off is uploaded to big data server.
Compared with prior art, beneficial effects of the present invention include at least:
1), NB-IOT (narrowband Internet of Things) is implemented in cellular network, only consumes the bandwidth of about 180KHz, can directly dispose
In GSM network, UMTS network or LTE network, to reduce lower deployment cost, realize smooth upgrade；
2) technology of Internet of things for, relying on low-power consumption wide area network, compared with the consumption that conventional information transmission mode reduces electric energy, in turn
Reduce operation maintenance cost；
3), equipment arrangement is simple, and maintenance cost is low, and detection accuracy is high, can effectively reduce human time and cost, improves
Vehicle safety；
4), big data cloud platform advantage, carries out statistics by stream of people's data to each vehicle and summarizes, and it is public quickly to analyze city
The people information of net is handed over, and be presented to traffic control operating agency by visualization interface to realize the acquisition of city intelligent traffic data
With analysis, it is formed simultaneously the big data platform of urban public transport information, provides gross data base to solve urban traffic blocking
Plinth.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing.
Fig. 1 is the structural schematic diagram of bus stream of people's statistical analysis system the present invention is based on NB-IOT；
Fig. 2 is the topological schematic diagram of bus stream of people's statistical analysis system the present invention is based on NB-IOT；
Fig. 3 is the process flow diagram of bus stream of people's statistical analysis system the present invention is based on NB-IOT；
Fig. 4 is the simplified model figure of bus stream of people's statistical analysis system the present invention is based on NB-IOT.
Specific embodiment
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, below in conjunction with attached drawing and specifically
Embodiment technical solution of the present invention is described in detail.It should be pointed out that described embodiment is only this hair
Bright a part of the embodiment, instead of all the embodiments, based on the embodiments of the present invention, those of ordinary skill in the art are not having
Every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
As shown in Figure 1, the present invention provides a kind of bus stream of people's statistical analysis system based on NB-IOT, including upper car test
Survey node, detection node of getting off and big data server；
It gets on the bus detection node, is installed on the door position of getting on the bus of bus, judge passenger loading for real-time dynamic monitoring
People information, and information of vehicles, the people information got on the bus are uploaded to big data server by cloud platform；
It gets off detection node, is installed on the door position of getting off of bus, judge passenger getting off car for real-time dynamic monitoring
People information, and information of vehicles, the people information got off are uploaded to big data server by cloud platform；
Big data server summarizes for the people information of each network to be carried out statistics, quickly analyzes city bus net
People information, and by visualization interface be presented to traffic control operating agency can realize the acquisition of city intelligent traffic data with point
Analysis, is formed simultaneously the big data platform of urban public transport information.
The detection node of getting on the bus includes the first two-way infrared sensor, the first central processing unit and the first NB-IOT object
Networking mould group；
First two-way infrared sensor is carried out for infrared tube in when outer infrared tube detects that someone passes through, activating
Detection, when both detecting someone, is then determined with passenger loading, then the number of getting on the bus of corresponding statistics is increase accordingly, and on
Reach the first central processing unit；
First central processing unit, for detecting, screening, counting people information that bus is got on the bus in real time and be uploaded to first
NB-IOT Internet of Things mould group；
First NB-IOT Internet of Things mould group monitors information of vehicles, dynamic realtime for the NB-IOT via LPWAN technology
The people information that bus is got on the bus is uploaded to big data server.
The detection node of getting off includes the second two-way infrared sensor, the second central processing unit and the 2nd NB-IOT object
Networking mould group；
Second two-way infrared sensor, for activating outer infrared tube to carry out when interior infrared tube detects that someone passes through
Detection, when both detecting someone, is then determined with passenger getting off car, then the number of getting off of corresponding statistics is increase accordingly, and on
Reach the second central processing unit；
Second central processing unit, for detecting, screening, counting people information that bus is got off in real time and be uploaded to first
NB-IOT Internet of Things mould group；
2nd NB-IOT Internet of Things mould group monitors information of vehicles, dynamic realtime for the NB-IOT via LPWAN technology
The people information that bus is got off is uploaded to big data server.
The present invention mainly has the advantage that
1) it, is preferably illustrated public from end to net from independent bus to the bus trip big data in entire city
Stream of people's metric density of traffic trip, resource distribution greatly reduce the operation and management cost of bus；
2), NB-IoT (narrowband Internet of Things) is implemented in cellular network, and only consumption bandwidth resources are low, wide coverage, transmission
Distance is remote, and data safety is reliable；
3), the present invention program have from passenger throughput of bus detect Macro or mass analysis, big data trip planning whole process,
Closed loop management completely flows through journey, improves instrumentation, the intelligentized integrated management ability of bus safety management；
4), bus generation support technology of Internet of things quick connects to the network platform, and for traffic monitoring, department provides intelligent supervision
Change, the public transport management means of safely controllableization.
As shown in Fig. 2, the present invention is based on bus stream of people's statistical analysis systems of NB-IOT to pass through combination two-way infrared ray
Sensor, central processing unit, NB-IOT Internet of Things mould group (Narrow Band Internet of Things, narrowband Internet of Things)
The detection node of composition, by can real-time dynamic monitoring judge the number situation of passenger getting on/off, pass through central processing unit detection, sieve
Information of vehicles, dynamic realtime are monitored bus via the NB-IOT of LPWAN technology by choosing, the statistics real-time people information of bus
Passengers quantity is uploaded to big data server.The data of each network are carried out statistics by big data server to summarize, quickly
The people information of city bus net is analyzed, and be presented to traffic control operating agency by visualization interface to realize city intelligent traffic
The acquisition and analysis of data, are formed simultaneously the big data platform of urban public transport information, provide to solve urban traffic blocking
Gross data basis, improves wisdom traffic efficiency, reduces cost of human resources.
As shown in figure 3, the present invention is based on the process flow of bus stream of people's statistical analysis system of NB-IOT is as follows:
1) two-way infrared sensor, central processing unit, NB-IOT (protenchyma respectively, are installed in the forward and backward door of bus
Networking) mould group composition detection node；
2), for front door is got on the bus a little, when outer infrared tube detects that someone passes through, interior infrared tube is activated to be examined
It surveys, when both detecting someone, system is determined with passenger loading, then the number of getting on the bus of corresponding statistics is increase accordingly；
3), similarly, for back door is got off a little, when interior infrared tube detects that someone passes through, activate outer infrared tube into
Row detection, when both detecting someone, system is determined with passenger getting off car, then the number of getting off of corresponding statistics is increase accordingly；
4) information above, is uploaded to big data server through NB-IOT (narrowband Internet of Things), by big data server into
Row statisticallys analyze and summarizes, and forms the big data platform of urban public transport information, provides monitoring, pipe for supervisory and management department
The active platform that reason, information summarize.
As it is clear from fig. 2 that infrared sensor of the flow of the people data of bus from being mounted on upper and lower car door is detected, lead to
The detection algorithm for crossing central processing unit handles data, collects, analyzes the dynamic flow of the people data of real-time bus, pass through
NB-IOT (narrowband Internet of Things) mould group in equipment is uploaded to cloud platform via Internet of Things network and carries out data summarization, at concentration
Reason and Modeling analysis, to carry out big data bus information management (simplified model of such as Fig. 4).
It is the output by central processing unit detection sensor the present invention is based on the central principle of two-tube infrared sensor
Level will be such that I/O port level drags down, central processing unit passes through judgement when there is object (people) red corresponding infrared sensor excessively
Level drags down determining someone by the region, similarly, to the trigger order of both two-tube infrared sensor judgements can determine whether through
The people for crossing the region gets on the bus or lower car state, calls data algorithm for statistical analysis to the stream of people, and it is (narrow to control NB-IOT
Band Internet of Things) data are uploaded to cloud platform by mould group, and then carry out the modeling of big data, analysis.
The present invention reduces the costs of construction city intelligent traffic information transmitting and acquisition, meet a wide range of scale in city
The management of public transport people information, all kinds of advantages of abundant emerging technology of Internet of things and big data cloud platform, provides not only
Effective detection means, while the analysis result of big data is conducive to public transit system scheduling, improves out line efficiency, it is unnecessary to reduce
Public transport resources waste, while R&D team selected compatibility and the big interface differential technique scheme of universality, drop significantly
The low development costs of the major standard of system compatible.
The present invention has filled up the blank of the big data platform of public transport Pedestrian flow detection, solves the single detection of tradition
The problem of public transport data platform in gimmick unrelated linkage entire city.The present invention has the advantages that
1) detection, based on two-tube infrared sensor, it is quickly and effectively, low in cost, and in installation；
2), NB-IoT (narrowband Internet of Things) is implemented in cellular network, only consumes the bandwidth of about 180KHz, can directly dispose
In GSM network, UMTS network or LTE network, to reduce lower deployment cost, realize smooth upgrade；
3), detection device is low in energy consumption, easy to maintain, and the network coverage is extensive, guarantees the stabilization not packet loss of data transmission；
4), the data collected for each bus are uploaded to the modeling analysis of progress big data after cloud platform, are conducive to
The scheduling of urban public transport saves the consumption of Public Resource, improves out line efficiency.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
Limitations on the scope of the patent of the present invention therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Protect range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (3)
1. a kind of bus stream of people's statistical analysis system based on NB-IOT characterized by comprising
It gets on the bus detection node, is installed on the door position of getting on the bus of bus, the people of passenger loading is judged for real-time dynamic monitoring
Stream information, and information of vehicles, the people information got on the bus are uploaded to big data server by cloud platform；
It gets off detection node, is installed on the door position of getting off of bus, the people of passenger getting off car is judged for real-time dynamic monitoring
Stream information, and information of vehicles, the people information got off are uploaded to big data server by cloud platform；
Big data server summarizes for the people information of each network to be carried out statistics, quickly analyzes the people of city bus net
Stream information, and traffic control operating agency is presented to by visualization interface can realize the acquisition and analysis of city intelligent traffic data,
It is formed simultaneously the big data platform of urban public transport information.
2. bus stream of people's statistical analysis system according to claim 1 based on NB-IOT, which is characterized in that on described
Vehicle detection node includes:
First two-way infrared sensor is detected for infrared tube in when outer infrared tube detects that someone passes through, activating,
When both detecting someone, then it is determined with passenger loading, then the number of getting on the bus of corresponding statistics is increase accordingly, and is uploaded to the
One central processing unit；
First central processing unit, for detecting, screening, counting people information that bus is got on the bus in real time and be uploaded to the first NB-
IOT Internet of Things mould group；
Information of vehicles, dynamic realtime are monitored public transport for the NB-IOT via LPWAN technology by the first NB-IOT Internet of Things mould group
The people information that vehicle is got on the bus is uploaded to big data server.
3. bus stream of people's statistical analysis system according to claim 1 based on NB-IOT, which is characterized in that under described
Vehicle detection node includes:
Second two-way infrared sensor, for activating outer infrared tube to be detected when interior infrared tube detects that someone passes through,
When both detecting someone, then it is determined with passenger getting off car, then the number of getting off of corresponding statistics is increase accordingly, and is uploaded to the
Two central processing units；
Second central processing unit, for detecting, screening, counting people information that bus is got off in real time and be uploaded to the first NB-
IOT Internet of Things mould group；
Information of vehicles, dynamic realtime are monitored public transport for the NB-IOT via LPWAN technology by the 2nd NB-IOT Internet of Things mould group
The people information that vehicle is got off is uploaded to big data server.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811075472.8A CN109448165A (en) | 2018-09-14 | 2018-09-14 | Bus stream of people's statistical analysis system based on NB-IOT |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811075472.8A CN109448165A (en) | 2018-09-14 | 2018-09-14 | Bus stream of people's statistical analysis system based on NB-IOT |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109448165A true CN109448165A (en) | 2019-03-08 |
Family
ID=65530905
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811075472.8A Pending CN109448165A (en) | 2018-09-14 | 2018-09-14 | Bus stream of people's statistical analysis system based on NB-IOT |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109448165A (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2961200A1 (en) * | 2014-06-23 | 2015-12-30 | Nxp B.V. | Near Field Communication System |
| CN205427986U (en) * | 2015-12-07 | 2016-08-03 | 长安大学 | Direct -injection type infrared ray bus stop passenger flow detector |
| CN205563758U (en) * | 2016-03-30 | 2016-09-07 | 成都理工大学 | Public transit number real time intelligence detecting system |
| CN106448133A (en) * | 2016-08-30 | 2017-02-22 | 中原智慧城市设计研究院有限公司 | Cloud public transport analyzing and scheduling system based on passenger flow statistics |
| CN206042439U (en) * | 2016-08-22 | 2017-03-22 | 赵德均 | Wisdom street lamp system based on sharing of building together of big data |
| WO2017176123A1 (en) * | 2016-04-05 | 2017-10-12 | Apace Resources As | System for counting passengers |
| CN206672196U (en) * | 2017-03-09 | 2017-11-24 | 郑州宇通客车股份有限公司 | A kind of car occupant data statistics device and a kind of automobile |
| CN108289279A (en) * | 2018-01-30 | 2018-07-17 | 浙江省公众信息产业有限公司 | Processing method, device and the computer readable storage medium of location information |
-
2018
- 2018-09-14 CN CN201811075472.8A patent/CN109448165A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2961200A1 (en) * | 2014-06-23 | 2015-12-30 | Nxp B.V. | Near Field Communication System |
| CN205427986U (en) * | 2015-12-07 | 2016-08-03 | 长安大学 | Direct -injection type infrared ray bus stop passenger flow detector |
| CN205563758U (en) * | 2016-03-30 | 2016-09-07 | 成都理工大学 | Public transit number real time intelligence detecting system |
| WO2017176123A1 (en) * | 2016-04-05 | 2017-10-12 | Apace Resources As | System for counting passengers |
| CN206042439U (en) * | 2016-08-22 | 2017-03-22 | 赵德均 | Wisdom street lamp system based on sharing of building together of big data |
| CN106448133A (en) * | 2016-08-30 | 2017-02-22 | 中原智慧城市设计研究院有限公司 | Cloud public transport analyzing and scheduling system based on passenger flow statistics |
| CN206672196U (en) * | 2017-03-09 | 2017-11-24 | 郑州宇通客车股份有限公司 | A kind of car occupant data statistics device and a kind of automobile |
| CN108289279A (en) * | 2018-01-30 | 2018-07-17 | 浙江省公众信息产业有限公司 | Processing method, device and the computer readable storage medium of location information |
Non-Patent Citations (4)
| Title |
|---|
| MAX PARASOL: "The impact of China’s 2016 Cyber Security Law on foreign technology firms, and on China’s big data and Smart City dreams", 《COMPUTER LAW & SECURITY REVIEW》 * |
| 孙宇 严斌峰: "运营商 NB-IoT 发展策略探讨", 《世界电信》 * |
| 孙结冰 崔玉娇 祁晓波 凌强 朱勇: "基于NB-IoT的实时交通监控系统的探究", 《电子世界》 * |
| 赵立平: "《物联网产业与技术发展的无锡实践》", 30 September 2017 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104408925B (en) | Crossing evaluation of running status method based on display radar | |
| CN104464295B (en) | A kind of overhead Entrance ramp intelligence restricted driving method based on video | |
| CN101540103B (en) | Method and system for traffic information acquisition and event processing | |
| CN105070086B (en) | A kind of traffic signal light fault Intelligent Measurement, warning system and method | |
| CN105869398B (en) | A kind of unimpeded degree judgment method of road traffic based on K-means clusters | |
| CN107527504A (en) | A kind of traffic flow detection system based on WIFI signal | |
| CN101551940A (en) | Urban high-speed road traffic state judging and issuing system and method thereof | |
| CN109687589A (en) | A kind of intelligent substation secondary loop fault diagnostic method | |
| CN105702041A (en) | Highway multisource data fusion state estimation system based on neural network and method thereof | |
| CN104574557A (en) | Alarm-based site polling method, alarm-based site polling manipulation device and alarm-based site polling system | |
| CN106529787A (en) | Subway energy management system based on face detection technology | |
| CN104464307A (en) | Method and device for automatically detecting tunnel traffic jam events based on video | |
| CN112622990A (en) | Intelligent operation and maintenance management system for urban rail metro vehicle | |
| CN106530704A (en) | Floating car aggregation detection method based on multivariate data fusion | |
| CN204759452U (en) | Traffic conflagration detecting system based on many characteristics of video smog fuse | |
| CN106156890A (en) | Detection of passenger flow and Forecasting Methodology and system thereof in a kind of urban track traffic passage | |
| CN112459203A (en) | Wisdom inspection shaft | |
| CN105489010B (en) | A kind of through street journey time reliability monitoring analysis system and method | |
| CN108584588A (en) | A kind of tor door faults detection method based on extensive flow data | |
| CN207946850U (en) | Subway crowding control system | |
| CN114186969A (en) | Intelligent park fault early warning platform based on digital twins | |
| CN106781553A (en) | A kind of intelligent traffic control system | |
| CN109448165A (en) | Bus stream of people's statistical analysis system based on NB-IOT | |
| CN204331071U (en) | Realize the rainfall alarm of short message sending notice | |
| CN110805734A (en) | Small hydropower station gate control system |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190308 |