CN109191197A - Video passenger flow statistical analysis based on block chain technology - Google Patents
Video passenger flow statistical analysis based on block chain technology Download PDFInfo
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- CN109191197A CN109191197A CN201810973692.6A CN201810973692A CN109191197A CN 109191197 A CN109191197 A CN 109191197A CN 201810973692 A CN201810973692 A CN 201810973692A CN 109191197 A CN109191197 A CN 109191197A
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- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0203—Market surveys; Market polls
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Abstract
The invention discloses a kind of, and the video passenger flow based on block chain technology statisticallys analyze, terminal sends central server for the original passenger flow data of acquisition according to the fixed cycle, the central server carries out data statistics acquisition data packet to original passenger flow data and stores, P2P block chain network generates according to the original passenger flow data of acquisition and stores card data packet, when the attribute data information for depositing card data packet of the data packet of central server storage and the storage of P2P block chain network is inconsistent, the P2P block chain network carries out warning note.The video passenger flow data and attribute data of acquisition are generated cryptographic Hash by hash algorithm by the present invention, data cochain is carried out by P2P mechanism again, data on block chain are equivalent to the backup that data map in central database, when thinking whether data artificially change in validation database later, it can carry out data retrieval, it extracts initial data and carries out Hash, compare the Hash comparison query on block chain.
Description
Technical field
The invention belongs to business information processing technology fields, and in particular to a kind of video passenger flow system based on block chain technology
Meter analysis.
Background technique
In today that commercial competition is increasingly fierce, effective commercial management have become trade marketing success or failure it is important because
Element.Requirements at the higher level are proposed to commercial management person: must the faint variation in the shortest time to market make fast reaction, and
Have market foresight and save business operation cost to greatest extent, improves science, the shopping of market day-to-day operations decision
Amenity, reasonability of deployment of human resources etc..The maximum leader of market discipline is commodity purchaser --- customer,
How science, time, analysis spatially effectively are carried out to the volume of the flow of passengers, and quickly timely make business decision, become quotient
Industry, the key of retail business marketing model success or not.
The purpose of passenger flow statistics is exactly accurately to count each entrance by managing region installation passenger flow statistics equipment
Real-time passenger flow number of people entering, in order to make correct commercial decision according to the management enterprise of data science.
Existing video passenger flow statistical project: video passenger flow statistical method is as follows at present, installs video monitoring in multiple regions
Equipment carry out personnel's passenger flow of popping one's head in passes in and out video acquisition, pass in and out passenger flow according to the information collected, hovers, region etc. counts
Data upload to data relay central server, then pass through data relay central server storage to central store central server
In database, web displaying finally is carried out according to the data in database, provides data analysis to commercial operation.
Due to the database hub server storing data using centralization, then working as in client has different rights
Operator centre data is distorted or malicious modification then data are unreliable, then passenger flow data based on this is made
Commercial decision out cannot really reflect the business condition that locating business event operation needs at present.
Summary of the invention
In view of this, the main purpose of the present invention is to provide a kind of video passenger flow statisticals based on block chain technology
Analysis.
In order to achieve the above objectives, the technical scheme of the present invention is realized as follows:
The embodiment of the present invention provides a kind of video passenger flow statistical analysis based on block chain technology, this method are as follows: terminal is pressed
Send central server for the original passenger flow data of acquisition according to the fixed cycle, the central server to original passenger flow data into
Line number obtains data packet according to statistics and stores, and P2P block chain network is generated and stored according to the original passenger flow data of acquisition
Card data packet is deposited, when the data packet of central server storage and the attribute for depositing card data packet of P2P block chain network storage
When data information is inconsistent, the P2P block chain network carries out warning note.
In above scheme, the P2P block chain network generates according to the original passenger flow data of acquisition and stores card number
According to packet, specifically: Hash corresponding with the passenger flow target data that terminal acquires is generated to original passenger flow data according to hash algorithm
Value obtains the Hostname information of the terminal unique number and the basic attribute data of passenger flow file destination data, and will be described
Hostname information, basic attribute data and the cryptographic Hash business datum, which are packaged to generate, deposits card data packet.
In above scheme, this method further include: generate video passenger flow and deposit card unique identification UUID, deposit card data packet to described
After confirmation, which is deposited into card unique identification UUID and corresponding card data packet of depositing saves, and generating includes area
Block message is sent in P2P block chain network.
In above scheme, the attribute stored when the data packet and P2P block chain network of central server storage
When data information is inconsistent, the P2P block chain network carries out warning note, specifically: by the cryptographic Hash of the data packet with
The cryptographic Hash for depositing card data packet is compared, if it is inconsistent, the P2P block chain network carries out warning note.
Compared with prior art, the present invention generates the video passenger flow data of acquisition and attribute data by hash algorithm
Cryptographic Hash, then data cochain is carried out by P2P mechanism, the data on block chain are equivalent to what data in central database mapped
Backup can carry out data retrieval when thinking whether data artificially change in validation database later, extract initial data and carry out
Hash compares the Hash comparison query on block chain.
Detailed description of the invention
Fig. 1 provides a kind of flow chart of video passenger flow statistical analysis based on block chain technology for the embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
The embodiment of the present invention provides a kind of video passenger flow statistical analysis based on block chain technology, as shown in Figure 1, this method
It is realized by following steps:
Step 101: terminal sends central server for the original passenger flow data of acquisition according to the fixed cycle；
Specifically, the original passenger flow data include place relation information, temporal information, pass in and out passenger flow data, hover visitor
The attribute informations such as flow data, region passenger flow data.
Original passenger flow data acquisition will be in the setting of shops video area by equipment such as video probe or IPCamera
(disengaging data, are detained data, cross shop data, heating power diagram data, range statistics data and other at data of hovering) data are adopted
Collection.
Step 102: the central server carries out data statistics acquisition data packet to original passenger flow data and stores,
P2P block chain network generates according to the original passenger flow data of acquisition and stores card data packet；
Specifically, client is presented to by WebService and other client applications and carries out data analysis sizing
Commercial decision.
Cryptographic Hash corresponding with the passenger flow target data that terminal acquires is generated to original passenger flow data according to hash algorithm, is obtained
The Hostname information of the terminal unique number and the basic attribute data of passenger flow file destination data are taken, and will be described
Hostname information, basic attribute data and the cryptographic Hash business datum, which are packaged to generate, deposits card data packet.
It generates video passenger flow and deposits card unique identification UUID, to the card data packet of depositing after confirmation, by the video passenger flow
It deposits card unique identification UUID and corresponding card data packet of depositing is saved, and generate and be sent to P2P block link network comprising block information
In network.
The original passenger flow data of acquisition (is passed in and out, hovers, is detained, crosses shop, thermodynamic chart, region are united by embedded device
Count and other) it is sent into central server, this data is stored in central database by final central server, and process is such as
Under:
Each node has an equipment to carry out video passenger flow Image Acquisition in each shops's mouth, then will by data separating
Pass in and out, hover, being detained, cross shop, thermodynamic chart, personnel's data cases such as range statistics by tcp agreement in embedded device or
Http agreement reported a central server at interval of 5 minutes, then by central server carry out data statistics summarize (day visitor
Stream, all passenger flow, moon passenger flow) write-in central database, wherein by the Hostname of equipment unique number in global network and
Basic attribute data (such as Time of Day, place are numbered) is identified, and is retained herein and is passed through behind a Tx field
Hostname and associated property data matched and searched modification deposit block chain data to be tested.
Original passenger flow business datum (pass in and out, hover, be detained, cross shop, thermodynamic chart, range statistics data and other) is passed through
Hash algorithm generates the cryptographic Hash of corresponding target data.
By the basic attribute data of Hostname information and the passenger flow business datum (such as Time of Day, place are numbered)
And generated passenger flow business datum cryptographic Hash is packaged generation video passenger flow and deposits the card unique UUID of unique data Bao Bingyong the whole network
It is identified.
To the card data packet of depositing after confirmation, video passenger flow is deposited into card data UUID and corresponding card data packet of depositing carries out
It saves, and generates and be sent in P2P block chain network comprising block information.
The block chain network is stored to card data are deposited corresponding to UUID, while the Tx of this transaction being stored in
In database corresponding to HostName.
Step 103: when the data packet of central server storage and the attribute data information of P2P block chain network storage
When inconsistent, the P2P block chain network carries out warning note.
Specifically, the cryptographic Hash of the data packet is compared with the cryptographic Hash for depositing card data packet, if it is inconsistent,
The P2P block chain network carries out warning note.
At interval of 5 minutes by former data number HostName index in central database and associated property data,
Original passenger flow data carries out Hash, and institute's generation value and the corresponding block chain UUID institute's mark data comparison of Tx transaction are inquired,
As a result unanimously be then it is normal, alerted otherwise it is assumed that data are tampered and start auto-alarming function.
The foregoing is only a preferred embodiment of the present invention, is not intended to limit the scope of the present invention.
Claims (4)
1. a kind of video passenger flow statistical analysis based on block chain technology, which is characterized in that this method are as follows: terminal is according to fixed week
The original passenger flow data of acquisition is sent central server by phase, and the central server carries out data system to original passenger flow data
Meter obtains data packet and stores, and P2P block chain network generates according to the original passenger flow data of acquisition and stores card data
Packet, when the data packet of central server storage and the attribute data information for depositing card data packet of P2P block chain network storage
When inconsistent, the P2P block chain network carries out warning note.
2. the video passenger flow statistical analysis according to claim 1 based on block chain technology, which is characterized in that the P2P
Block chain network generates according to the original passenger flow data of acquisition and stores card data packet, specifically: according to hash algorithm pair
Original passenger flow data generates cryptographic Hash corresponding with the passenger flow target data that terminal acquires, and obtains the terminal unique number
The basic attribute data of Hostname information and passenger flow file destination data, and by the Hostname information, essential attribute number
Card data packet is deposited according to being packaged to generate with the cryptographic Hash business datum.
3. the video passenger flow statistical analysis according to claim 2 based on block chain technology, which is characterized in that this method is also
Include: to generate video passenger flow to deposit card unique identification UUID, to the card data packet of depositing after confirmation, which is deposited into card
Unique identification UUID and corresponding card data packet of depositing are saved, and are generated and be sent in P2P block chain network comprising block information.
4. the video passenger flow statistical analysis based on block chain technology according to claim 1 to 3, feature exist
In, it is described when the attribute data information of the data packet of central server storage and the storage of P2P block chain network is inconsistent,
The P2P block chain network carries out warning note, specifically: by the cryptographic Hash of the data packet and the cryptographic Hash for depositing card data packet
It is compared, if it is inconsistent, the P2P block chain network carries out warning note.
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| CN201810973692.6A CN109191197A (en) | 2018-08-24 | 2018-08-24 | Video passenger flow statistical analysis based on block chain technology |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109977166A (en) * | 2019-02-18 | 2019-07-05 | 陕西优米数据技术有限公司 | A kind of block chain common recognition mechanism |
| CN111382463A (en) * | 2020-04-02 | 2020-07-07 | 中国工商银行股份有限公司 | Block chain system and method based on stream data |
| CN111835808A (en) * | 2019-08-01 | 2020-10-27 | 北京骑胜科技有限公司 | Data storage method and device, data reading method and device, and storage medium |
| CN112073485A (en) * | 2020-08-28 | 2020-12-11 | 上海杰轩智能科技有限公司 | Method for transmitting passenger flow counting data through HTTP message |
| CN112988878A (en) * | 2021-05-06 | 2021-06-18 | 腾讯科技（深圳）有限公司 | Regional thermodynamic diagram processing method and device based on block chain and computer equipment |
| CN113037734A (en) * | 2021-03-02 | 2021-06-25 | 上海德易车信息科技有限公司 | Service state monitoring method and system for isolated network |
| CN113094366A (en) * | 2021-04-06 | 2021-07-09 | 湖北央中巨石信息技术有限公司 | Data verification method, system and storage medium based on block chain |
| CN114155464A (en) * | 2021-11-29 | 2022-03-08 | 北京中交兴路信息科技有限公司 | Video data storage method and device, storage medium and terminal |
| CN115657974A (en) * | 2022-12-29 | 2023-01-31 | 中国电子信息产业集团有限公司第六研究所 | Block chain-based data access method, system, device and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106548091A (en) * | 2016-10-14 | 2017-03-29 | 北京爱接力科技发展有限公司 | A kind of data deposit card, the method and device of checking |
| CN106815530A (en) * | 2016-12-26 | 2017-06-09 | 北京爱接力科技发展有限公司 | Data deposit card method, data verification method and device |
| CN107508806A (en) * | 2017-08-11 | 2017-12-22 | 北京理工大学 | Internet financial electronic data safety system and method based on block chain |
| CN107819777A (en) * | 2017-11-17 | 2018-03-20 | 北京亿生生网络科技有限公司 | A kind of data based on block chain technology deposit card method and system |
-
2018
- 2018-08-24 CN CN201810973692.6A patent/CN109191197A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106548091A (en) * | 2016-10-14 | 2017-03-29 | 北京爱接力科技发展有限公司 | A kind of data deposit card, the method and device of checking |
| CN106815530A (en) * | 2016-12-26 | 2017-06-09 | 北京爱接力科技发展有限公司 | Data deposit card method, data verification method and device |
| CN107508806A (en) * | 2017-08-11 | 2017-12-22 | 北京理工大学 | Internet financial electronic data safety system and method based on block chain |
| CN107819777A (en) * | 2017-11-17 | 2018-03-20 | 北京亿生生网络科技有限公司 | A kind of data based on block chain technology deposit card method and system |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109977166A (en) * | 2019-02-18 | 2019-07-05 | 陕西优米数据技术有限公司 | A kind of block chain common recognition mechanism |
| CN109977166B (en) * | 2019-02-18 | 2022-12-20 | 陕西优米数据技术有限公司 | Block chain consensus mechanism |
| CN111835808A (en) * | 2019-08-01 | 2020-10-27 | 北京骑胜科技有限公司 | Data storage method and device, data reading method and device, and storage medium |
| CN111835808B (en) * | 2019-08-01 | 2023-11-14 | 北京骑胜科技有限公司 | Data storage method and device, data reading method and device, and storage medium |
| CN111382463A (en) * | 2020-04-02 | 2020-07-07 | 中国工商银行股份有限公司 | Block chain system and method based on stream data |
| CN112073485A (en) * | 2020-08-28 | 2020-12-11 | 上海杰轩智能科技有限公司 | Method for transmitting passenger flow counting data through HTTP message |
| CN113037734B (en) * | 2021-03-02 | 2022-11-04 | 上海德易车信息科技有限公司 | Service state monitoring method and system for isolated network |
| CN113037734A (en) * | 2021-03-02 | 2021-06-25 | 上海德易车信息科技有限公司 | Service state monitoring method and system for isolated network |
| CN113094366A (en) * | 2021-04-06 | 2021-07-09 | 湖北央中巨石信息技术有限公司 | Data verification method, system and storage medium based on block chain |
| CN113094366B (en) * | 2021-04-06 | 2022-05-03 | 湖北央中巨石信息技术有限公司 | Data verification method, system and storage medium based on block chain |
| CN112988878B (en) * | 2021-05-06 | 2021-08-13 | 腾讯科技（深圳）有限公司 | Regional thermodynamic diagram processing method and device based on block chain and computer equipment |
| CN112988878A (en) * | 2021-05-06 | 2021-06-18 | 腾讯科技（深圳）有限公司 | Regional thermodynamic diagram processing method and device based on block chain and computer equipment |
| CN114155464A (en) * | 2021-11-29 | 2022-03-08 | 北京中交兴路信息科技有限公司 | Video data storage method and device, storage medium and terminal |
| CN114155464B (en) * | 2021-11-29 | 2022-11-25 | 北京中交兴路信息科技有限公司 | Video data storage method and device, storage medium and terminal |
| CN115657974A (en) * | 2022-12-29 | 2023-01-31 | 中国电子信息产业集团有限公司第六研究所 | Block chain-based data access method, system, device and storage medium |
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