CN109194761A - A kind of acquisition of LORA environment of internet of things data and cochain implementation method based on edge calculations and block chain - Google Patents
A kind of acquisition of LORA environment of internet of things data and cochain implementation method based on edge calculations and block chain Download PDFInfo
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Abstract
A kind of LORA environment of internet of things data acquisition based on edge calculations and block chain belongs to internet of things data acquisition and storage related fields with cochain implementation method.Mechanism offer overcomes the above problem or at least is partially solved the possible ways of the above problem.The realization system architecture of this method is as follows: server realizes that block chain data storage and at least one LORA Border Gateway communicate；LORA networking technology meets a large amount of edge device access demands under environment of internet of things, low cost；Edge calculations are realized using embedded microprocessor, and the calculation amount of data processing and analysis after pretreatment reduction is carried out to the environmental data of acquisition, computational efficiency is improved, reduce network transport load, reduce network transfer delay, save energy consumption；Guarantee credibility, the safety of data storage using block chain storing technology.
Description
Technical field
The invention belongs to internet of things data acquisition and storage related fields, more particularly to one kind to be based on edge calculations and block
The acquisition of LORA environment of internet of things data and the cochain mechanism of chain.
Background technique
With the fast development of information technology and technology of Internet of things, data have become the weight for influencing industry upgrading and transformation
Want factor.In environment of internet of things data collection system at this stage, be by a plurality of types of control equipment, sensor device and
It executes equipment to constitute, location layout also relative distribution.Wherein, collecting sensor signal number of nodes is numerous, does not also have number
According to storage and transfer capability；If the data of all acquisitions are uploaded cloud to handle, the burden of network will increase, seriously
When cause network to be paralysed comprehensively；This becomes difficult the processing such as acquisition, analysis, storage for internet of things data.Edge meter
Merged network, calculating, storage, application core competence, can make up existing internet of things sensors system sensor believe
Number acquisition and the defect in processing, while can solve internet of things sensors system high real-time and internet QoS again not
Good uncertain problem.Edge calculations are exactly the embedding assembly ability at object end of making full use of, in a distributed manner information processing
Mode realizes the intelligence and autonomy at object end, and in conjunction with cloud, realizes the wisdom operation to sensing system.Meanwhile for object
Networking acquisition data are easy to be tampered, and cause the problem that data reliability is low, can not distort and can not forge using block chain
Characteristic guarantee to upload the safeties of data, reliability.
Edge calculations (Egde Computing), which refer to, executes a kind of New model calculated in network edge.The model mentions
The calculating task run on original Cloud Server center is decomposed out, the calculating task of decomposition is then moved into edge section
Point is handled, and finally the data by cloud request upload cloud server, and the computational load of Cloud Server is reduced with this.
Block chain (BlockChain) be it is a kind of data block is combined into a manner of chain sequentially in time it is specific
Data structure, and general ledger is shared in the decentralization that can not be distorted He can not forge guaranteed in a manner of cryptography, can be stored up safely
Deposit data simple, having precedence relationship, can verifying in system.
Summary of the invention:
Aiming at the problems existing in the prior art, the present invention provides a kind of LORA object based on edge calculations Yu block chain
The realization mechanism of networked environment data acquisition and cochain, mechanism offer overcome the above problem or at least are partially solved above-mentioned
The possible ways of problem.
A kind of acquisition of LORA environment of internet of things data and cochain implementation method, this method based on edge calculations and block chain
Realization system architecture it is as follows:
Server realizes that block chain data storage and at least one LORA Border Gateway communicate；The LORA Border Gateway and
The acquisition of at least one edge data is communicated with processing module.
Edge data acquisition and processing module: the module realizes environmental data collection function, edge calculations and storage function
With data forwarding and receive capabilities；The acquisition of environmental information is realized in the realization of environmental data collection function by various kinds of sensors,
Such as environment temperature and humidity information are acquired by Temperature Humidity Sensor, laser dust sensor acquires in environment PM2.5 and
PM10 information etc.；The realization of edge calculations and store function be based on 32 ARM microprocessors to the data of acquisition at
Reason and storage；Data forwarding and receive capabilities are received by the way that packed data are issued LORA gateway by LOAR node
The information that LORA gateway sends over.
LORA Border Gateway, LORA Border Gateway are connect by 3G/4G/GPRS with server；Multiple edge data acquisitions
It may be constructed Star Network with processing module and LORA Border Gateway, meet the requirement of Internet of Things large capacity access；The side LORA
Hoddy is closed for receiving the acquisition from server end and exporting to come to edge data acquisition and processing module, and reception
From the data forwarding of edge collecting and processing module to server.
Server end: main to realize the environmental data that edge collecting and processing module are sent to the tentation data format to come up
It is stored in block chain database, and facilitates the retrieval and display in later period.
The method realize the following steps are included:
Step 1: according to above system framework, test system building；The system include at least one edge data acquisition with
Processing module, at least one LORA Border Gateway are connect with server.
Step 2: building software developing technology；It mainly builds on embedded-type ARM microprocessor and LORA fringe node
On software developing technology；
Step 3: writing sensor data acquisition driver, acquire relevant environmental data information.
Step 4: the data of acquisition being formatted on the edge processor, are uniformly converted into hexadecimal number
Word is stored；
Step 5: data being cleaned on the edge processor, are removed by the method for verifying sum due to being transmitted across
The error information occurred in journey.
Step 6: further collected data being cleaned using limit filtration algorithm on the edge processor.
Step 7: the error of the data of sensor being corrected on the edge processor and drift compensation, used
Kalman filtering algorithm and high pass filtering algorithm are merged to be filtered data, and acquisition data first pass around discrete
High pass filtering algorithm is tentatively filtered, and then carries out Kalman filtering again；And Kalman filtering in blending algorithm is calculated
Method carries out being reduced to single order Kalman filtering algorithm；For the high-pass filtering coefficient and Kalman filtering coefficient in blending algorithm
Setting is based on the dynamic response performance and constringent principle for meeting the algorithm.
Step 8: early warning value setting being carried out to corresponding environmental data on the edge processor, environmental change is carried out
Early warning processing uploads the warning information of predetermined format.
Step 9: the sensor of edge processor connection is monitored on the edge processor, it is different to discovery work
Normal sensor information reports server by tentation data format, provides information for investigation failure in time.
Step 10: to the environmental information being collected into according to the predetermined set in the storage of block chain on the edge processor
Good agreement carries out data format packing；Then LORA node is delivered a packet to by the way of active reporting, by LORA
Node is sent to LORA Border Gateway, then by sending out server on gateway；Optionally, Border Gateway is accessed in a large amount of fringe nodes
When, the mode that can be reported using the repeating query of LORA node avoids that network congestion occurs.
Step 11: after server receives the environmental information data reported, being known together by common recognition system to data, so
It afterwards will be in the data predetermined format write-in block chain database after common recognition and verifying.
The method of the present invention advantage and good effect are:
A kind of acquisition of LORA environment of internet of things data and cochain mechanism, LORA group based on edge calculations and block chain is provided
Network technology meets a large amount of edge device access demands under environment of internet of things, low cost；Side is realized using embedded microprocessor
Edge calculates, to the environmental data of acquisition carry out the calculation amount of data processing and analysis after pretreatment reduction, improve computational efficiency,
Network transport load is reduced, network transfer delay is reduced, saves energy consumption；Using block chain storing technology guarantee data storage can
Letter property, safety.
Other feature and advantage of the method for the present invention will be set forth in the description which follows, also, partial from specification
In become apparent, or understood and implementing the method for the present invention.Objects and advantages of the present invention can be by written
Specification, claims and attached drawing are achieved and obtained.
Below by drawings and examples, the method for the present invention is described in further detail.
Detailed description of the invention
Fig. 1 is the system function module schematic diagram in the embodiment of the method for the present invention.
Fig. 2 is edge data acquisition and processing module block diagram in embodiment of the present invention method.
Specific embodiment
Detailed description of the preferred embodiments with reference to the accompanying drawing.Attached drawing is used to provide to present invention side
Method is further understood, and constitutes part of specification, is used to explain the present invention together with embodiments of the present invention, not
Constitute the limitation to the method for the present invention.
As shown in Figure 1, a kind of LORA environment of internet of things data acquisition based on edge calculations and block chain is realized with cochain
The realization system architecture of method, this method is as follows:
Server 7 realizes that block chain data storage 8 and at least one LORA Border Gateway 5 communicate；The edge LORA net
Pass 5 and the acquisition of at least one edge data are communicated with processing module 1.
Edge data acquisition and processing module 1: the module 1 realizes environmental data collection function, edge calculations and storage function
Energy and data forwarding and receive capabilities；The realization of environmental data collection function realizes adopting for environmental information by various kinds of sensors
Collection, for example, as Fig. 2 passes through in Temperature Humidity Sensor acquisition environment temperature and humidity information, laser dust sensor acquisition environment
PM2.5 and PM10 information；Edge calculations processor STM32F103VE obtains ambient temperature and humidity Information Number by monobus mode
According to obtaining the information data of PM2.5 and PM10 by USART3, and the data of acquisition handled and stored；Data forwarding
It is that edge calculations processor STM32F103VE is issued by UART according to the packed data of predetermined format with receive capabilities
LOAR node, then LORA gateway is issued by LOAR node, and receive the information that LORA gateway sends over.
LORA Border Gateway 5, LORA Border Gateway 5 are connect by 3G/4G/GPRS with server 7；Multiple edge datas
Acquisition may be constructed Star Network with processing module 1 and LORA Border Gateway 5, meet the requirement of Internet of Things large capacity access；It should
LORA Border Gateway 5 is used to receive the acquisition from server end 7 and exports to edge data acquisition and processing module 1,
And the data forwarding from edge collecting and processing module 1 is received to server 7.
Server end 7: main to realize the environment number that edge collecting and processing module 1 are sent to the tentation data format to come up
According in deposit block chain database 8, and facilitate the retrieval and display in later period.
The detailed implementation steps of the embodiment concrete methods of realizing are as follows:
Step 1: building environmental data collecting ware circuit.
Step 1.1: using STM32F103VE as edge MCU, using LND433 series LORA module as no line number
According to transmission, sensor carries out environmental parameter using SDS011 laser dust sensor and DHT11 digital hygro sensor and adopts
Collection；Such as Fig. 2, edge MCU is connect by monobus with DHT11, is connect by USART3 with SDS011, by UART5 and
The connection of LND433 node, LND433 node wirelessly communicate with LORA Border Gateway, the frequency that passage uses for
433MHZ, transmission rate 115kbps, LORA Border Gateway are communicated by 3G wireless network with server.
Step 2: building software developing technology.
Step 2.1: using STM32F103VE as edge processor progress edge calculations, so build one
The upper running environment of STM32F103VE, step: new construction --- startup file startup_stm32f103x_ is added into engineering
Hd.s--- adds software interface standard file core_m3.c, system_stm32f10x.c--- into engineering and adds into engineering
Add device Drivers --- principal function main.c is added into engineering, software developing technology so far builds completion.
Step 3: writing sensor data acquisition driver, acquire environmental data information.
Step 3.1: writing the driver of DHT11 Temperature Humidity Sensor, collected ambient temperature information and humidity letter
Breath storage.
Step 3.2: since SDS011 laser dust working sensor is in active reporting or query pattern, so first will
SDS011 laser dust sensor is set to query pattern by PC machine, by sending inquiry instruction (AA B4 to sensor
04 00 00 00 00 00 00 00 00 00 00 00 00 FF FF, 02 AB) it inquires in the environment of current sensor acquisition
PM2.5 and PM10 data and be stored in array DATA2 such as the following table 1:
Step 4: the data of acquisition are formatted.
Step 4.1 is converted into hexadecimal number to collected binary system data of the Temperature and Humidity module on edge processor MCU
According to.The data format of DHT11: 8bit humidity integer data+8bit humidity fraction data+8bi temperature integer data+8bit temperature
It spends fraction data+8bit verification and being converted into hexadecimal, there are such as the following table 2 in array DATA1:
| DATA1[0] | DATA1[1] | DATA1[2] | DATA1[3] | DATA1[4] |
| Humidity integer data | Humidity fraction data | Temperature integer data | Temperature fraction data | Verification and |
Step 5: data being cleaned, the error information due to occurring in transmission process is removed.
Step 5.1 on edge processor MCU using examine in agreement the method for sum to collected temperature, humidity,
PM2.5, PM10 data are tested, tentatively removal error information.
As shown in the storage array of data of Tables 1 and 2, verified as follows:
DATA1 [4]=DATA1 [0]+DATA1 [1]+DATA1 [2]+DATA1 [3]；
DATA2 [8]=0x00FF& (DATA2 [2]+DATA2 [3]+DATA2 [4]+DATA2 [5])；
When verification equation is set up above, illustrates do not occur mistake in data transmission procedure, otherwise illustrate that data are passing
There is error during defeated, data do abnormal data processing.
Step 6: further collected data being cleaned using limit filtration algorithm on edge processor.
0-50 DEG C of the temperature range of step 6.1 DHT11, so given threshold is to the exception more than 50 DEG C or lower than 0 DEG C
Sampled value is rejected.Humidity range 20-90%, given threshold lower limit are 20, and online is that 90 pairs of abnormal sample data are picked
It removes.
Step 6.2 PM2.5 and PM10 the given threshold upper limit is 500, and lower limit rejects its exceptional value for 0.
Step 7 is worked as on edge processor MCU by using high pass filtering algorithm and Kalman filtering algorithm to calculate
Preceding temperature, humidity, PM2.5, PM10, reduce the error between measured value and actual value by the algorithm, can satisfy and are
The dynamic and convergence for design of uniting.
Step 7.1 Digital High Pass Filter algorithm general formula is X [n]=k1*X[n-1]+k2* Y, X [n] present filter result value,
X [n-1] previous value, Y are current value, k1、k2For filter factor, wherein k in this method1Take 0.2, k2Take 0.8 satisfaction dynamic
The requirement of performance.
Step 7.2 Kalman filtering algorithm: current state value is predicted based on previous historic state, herein using simplification
Single order Kalman filtering, reduces the operand of filtering, and the coefficient of Kalman filtering sets Q=2, R=0.01；Q is system
The covariance of process, R are the covariance of measurement process.
Step 8 sets early warning value to temperature, humidity, PM2.5, PM10 on edge processor MCU, carries out to observation pre-
It is alert；
To warning temperature, value is as shown in table 3 below
| Early warning option | Value |
| Temperature is normal | 0x00 |
| Temperature is too low | 0x01 |
| Temperature is excessively high | 0x02 |
Humidity is alerted, value is as shown in table 4 below
| Early warning option | Value |
| Humidity is normal | 0x00 |
| Humidity is too low | 0x03 |
| Humidity is excessively high | 0x04 |
PM2.5 is alerted, value is as shown in table 5 below
PM10 is alerted, value is as shown in table 6 below
| Early warning option | Value |
| PM10 is normal | 0x00 |
| PM10 is too low | 0x07 |
| PM10 is excessively high | 0x08 |
Sensor abnormality warning, value are as shown in table 7 below:
Step 9 is unified after arranging on edge processor MCU to the temperature of acquisition, humidity, PM2.5, PM10 data
It transmits and gives LORA node, the agreement of data packet is set by oneself；
Protocol principle: only sending necessary information, reduces the length of data packet, reduces network load；
Data packet sends principle: only sending the data packet of table 8 under normal circumstances, 9 number is only delivered when there are abnormal conditions
According to packet, it is therefore an objective to reduce network load.
Data pack protocol such as the following table 8 is sent under normal circumstances:
Data pack protocol such as the following table 9 under abnormal conditions:
By the way of active reporting, the LORA node is received to be sent LORA node described in step 10 by fringe node
After the data packet to come over, after carrying out respective handling, it is transmitted to LORA gateway.
Step 11 passes through 3G 4G after being encrypted by LORA gateway to data and uploads access server.
After step 12 access server receives the data that the transmission of LORA gateway comes up, it is decrypted；By in verifying
The data head of data is passed to judge whether data need to store；Step 13 is then carried out if it is predetermined protocol environmental data information,
Otherwise packet discard.
The environmental information data of upload are generated a private key by using data encryption algorithm by step 13；Again by using
Encryption Algorithm is handled, and exports public key from private key, and public key storage is used for subsequent query into back-stage management database；According to
The format of the following table 10 generates the data strip of storage；If not upper block number, is set as 0；Then access server is sent out
Send checking request to authentication server.
Step 14 authentication server obtains the storage request of client, obtains data strip；Inquiry has record and judges the block
It whether there is, as existing, ignore；Authentication server verifies the history block in data strip, confirms legitimacy and sequence
The correctness of row number, and verification result is sent to other verifying nodes；Data strip is written in block catenary system after being proved to be successful
In corresponding block chain；Not satisfactory data strip enters knows together next time, until common recognition completion or time-out.
For step 15 client by sending querying command to access server, access server accesses the block having verified that, root
It finds out to have stored according to public key and records and can recall to obtain all historical records, result is then fed back into client.
Claims (3)
1. a kind of acquisition of LORA environment of internet of things data and cochain implementation method, feature based on edge calculations and block chain exists
In the realization system architecture of this method is as follows:
Server realizes that block chain data storage and at least one LORA Border Gateway communicate；The LORA Border Gateway and at least
One edge data acquisition is communicated with processing module.
Edge data acquisition and processing module: the module realizes environmental data collection function, edge calculations and storage function sum number
According to forwarding and receive capabilities；The acquisition of environmental information, data are realized in the realization of environmental data collection function by various kinds of sensors
Forwarding and receive capabilities receive LORA gateway and are transmitted across by the way that packed data are issued LORA gateway by LOAR node
The information come.
LORA Border Gateway, LORA Border Gateway are connect by 3G/4G/GPRS with server；The LORA Border Gateway is for connecing
Receive the acquisition from server end simultaneously export acquisition to edge data and processing module, and receive from edge collecting with
The data forwarding of processing module is to server.
Server end: realize that the environmental data that edge collecting and processing module are sent the tentation data format to come up is stored in block
In chain database, and facilitate the retrieval and display in later period.
2. method according to claim 1, which is characterized in that realize the following steps are included:
Step 1: according to above system framework, test system building；The system includes the acquisition of at least one edge data and processing
Module, at least one LORA Border Gateway are connect with server.
Step 2: building software developing technology；It is the software built on embedded-type ARM microprocessor and on LORA fringe node
Debugging enironment；
Step 3: writing sensor data acquisition driver, acquire relevant environmental data information.
Step 4: the data of acquisition are formatted on the edge processor, be uniformly converted into hexadecimal digit into
Row storage；
Step 5: data being cleaned on the edge processor, are removed by the method for verifying sum due in transmission process
The error information of appearance.
Step 6: further collected data being cleaned using limit filtration algorithm on the edge processor.
Step 7: the error of the data of sensor being corrected on the edge processor and drift compensation, with karr
Graceful filtering algorithm and high pass filtering algorithm are merged to be filtered data, and acquisition data first pass around discrete high pass
Filtering algorithm is tentatively filtered, and then carries out Kalman filtering again；And for Kalman filtering algorithm in blending algorithm into
Row is reduced to single order Kalman filtering algorithm；
Step 8: early warning value setting being carried out to corresponding environmental data on the edge processor, early warning is carried out to environmental change
Processing uploads the warning information of predetermined format.
Step 9: the sensor of edge processor connection being monitored on the edge processor, to discovery operation irregularity
Sensor information reports server by tentation data format, provides information for investigation failure in time.
Step 10: on the edge processor to the environmental information being collected into according to block chain storage in predetermined set it is good
Agreement carries out data format packing；Then LORA node is delivered a packet to by the way of active reporting, by LORA node
It is sent to LORA Border Gateway, then by sending out server on gateway；Step 11: server receives the environmental information data reported
Afterwards, it is known together by common recognition system to data, block chain data then is written into the data predetermined format after common recognition and verifying
In library.
3. method according to claim 1, which is characterized in that realize the following steps are included:
Step 1: building environmental data collecting ware circuit.
Step 1.1: using STM32F103VE as edge MCU, being passed using LND433 series LORA module as wireless data
Defeated, sensor carries out environmental parameter acquisition using SDS011 laser dust sensor and DHT11 digital hygro sensor；Edge
MCU is connect by monobus with DHT11, is connect by USART3 with SDS011, is connect by UART5 with LND433 node,
LND433 node is wirelessly communicated with LORA Border Gateway, and for 433MHZ, transmission rate is the current frequency used
115kbps, LORA Border Gateway are communicated by 3G wireless network with server.
Step 2: building software developing technology.
Step 2.1: edge calculations are carried out as edge processor using STM32F103VE；
Step 3: writing sensor data acquisition driver, acquire environmental data information.
Step 3.1: writing the driver of DHT11 Temperature Humidity Sensor, collected ambient temperature information and humidity information are deposited
Storage.
Step 3.2: since SDS011 laser dust working sensor is in active reporting or query pattern, so first will
SDS011 laser dust sensor is set to query pattern by PC machine, is worked as by sending inquiry instruction inquiry to sensor
The data of PM2.5 and PM10 in the environment of front sensor acquisition are simultaneously stored in array DATA2；
Step 4: the data of acquisition are formatted.
Step 4.1 is converted into hexadecimal data to collected binary system data of the Temperature and Humidity module on edge processor MCU.
The data format of DHT11: 8bit humidity integer data+8bit humidity fraction data+8bi temperature integer data+8bit temperature is small
It counts data+8bit verification and being converted into hexadecimal, there are such as the following table 2 in array DATA1:
Step 5: data being cleaned, the error information due to occurring in transmission process is removed.
Step 5.1 on edge processor MCU using examine in agreement the method for sum to collected temperature, humidity, PM2.5,
PM10 data are tested, tentatively removal error information.
As shown in the storage array of data of Tables 1 and 2, verified as follows:
DATA1 [4]=DATA1 [0]+DATA1 [1]+DATA1 [2]+DATA1 [3]；
DATA2 [8]=0x00FF& (DATA2 [2]+DATA2 [3]+DATA2 [4]+DATA2 [5])；
When verification equation is set up above, illustrates do not occur mistake in data transmission procedure, otherwise illustrate that data are being transmitted across
Occurs error in journey, data do abnormal data processing.
Step 6: further collected data being cleaned using limit filtration algorithm on edge processor.
0-50 DEG C of the temperature range of step 6.1 DHT11, so given threshold is to the abnormal sample more than 50 DEG C or lower than 0 DEG C
Value is rejected.Humidity range 20-90%, given threshold lower limit are 20, and online is that 90 pairs of abnormal sample data are rejected.
Step 6.2 PM2.5 and PM10 the given threshold upper limit is 500, and lower limit rejects its exceptional value for 0.
Step 7 calculates on edge processor MCU by using high pass filtering algorithm and Kalman filtering algorithm current
Temperature, humidity, PM2.5, PM10.
Step 7.1 Digital High Pass Filter algorithm general formula is X [n]=k1*X[n-1]+k2* Y, X [n] present filter result value, X [n-
1] previous value, Y are current value, k1、k2For filter factor, wherein k in this method1Take 0.2, k20.8 is taken to meet dynamic property
Requirement.
Step 7.2 Kalman filtering algorithm: current state value is predicted based on previous historic state, herein using simplified one
Rank Kalman filtering, reduces the operand of filtering, and the coefficient of Kalman filtering sets Q=2, R=0.01；Q is system mistake
The covariance of journey, R are the covariance of measurement process.
Step 8 sets early warning value to temperature, humidity, PM2.5, PM10 on edge processor MCU, carries out early warning to observation；
To warning temperature, value is as shown in table 3 below
Humidity is alerted, value is as shown in table 4 below
PM2.5 is alerted, value is as shown in table 5 below
PM10 is alerted, value is as shown in table 6 below
Sensor abnormality warning, value are as shown in table 7 below:
Uniform packing after step 9 arranges the temperature of acquisition, humidity, PM2.5, PM10 data on edge processor MCU
It is sent to LORA node, the agreement of data packet is set by oneself；
Protocol principle: only sending necessary information, reduces the length of data packet, reduces network load；
Data packet sends principle: the data packet of table 8 only sent under normal circumstances, and 9 data packet is only delivered when there are abnormal conditions,
Purpose is to reduce network load.
Data pack protocol such as the following table 8 is sent under normal circumstances:
Data pack protocol such as the following table 9 under abnormal conditions:
By the way of active reporting, the LORA node is received to be transmitted across LORA node described in step 10 by fringe node
After the data packet come, after carrying out respective handling, it is transmitted to LORA gateway.
Step 11 passes through 3G 4G after being encrypted by LORA gateway to data and uploads access server.
After step 12 access server receives the data that the transmission of LORA gateway comes up, it is decrypted；Number is uploaded by verifying
According to data head judge whether data need to store；Step 13 is then carried out if it is predetermined protocol environmental data information, otherwise
Packet discard.
The environmental information data of upload are generated a private key by using data encryption algorithm by step 13；Again by using adding
Close algorithm is handled, and exports public key from private key, and public key storage is used for subsequent query into back-stage management database；Under
The format of table 10 generates the data strip of storage；If not upper block number, is set as 0；Then access server is sent
Checking request is to authentication server.
Step 14 authentication server obtains the storage request of client, obtains data strip；Inquiry has whether record judges the block
In the presence of ignoring as existing；Authentication server verifies the history block in data strip, confirms legitimacy and sequence number
Correctness, and send verification result to other verify node；Data strip is written in block catenary system accordingly after being proved to be successful
Block chain in；Not satisfactory data strip enters knows together next time, until common recognition completion or time-out.
Step 15 client is by sending querying command to access server, and access server accesses the block having verified that, according to public affairs
Key, which is found out to have stored record and recalled, obtains all historical records, and result is then fed back to client.
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