CN109787949A - A kind of information processing method and device based on big data - Google Patents
A kind of information processing method and device based on big data Download PDFInfo
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- CN109787949A CN109787949A CN201811344031.3A CN201811344031A CN109787949A CN 109787949 A CN109787949 A CN 109787949A CN 201811344031 A CN201811344031 A CN 201811344031A CN 109787949 A CN109787949 A CN 109787949A
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Abstract
The information processing method based on big data that the present invention provides a kind of, the geographical location information of mobile information acquisition terminal is continuously transmitted to big data storage platform；Movement speed by big data storage platform based on mobile information acquisition terminal sends corresponding measurement report order；Measurement report is sent with some time interval by mobile information acquisition terminal；Based on the access request message received, determination requirement accesses the quantity of the mobile information acquisition terminal of big data storage platform；Measurement report is based on by big data storage platform, judges the quality of data transmission channel；If it is required that the quantity of the mobile information acquisition terminal of access big data storage platform is greater than the quantity for the mobile information acquisition terminal that big data storage platform can accommodate, the mobile information acquisition terminal of the first quantity is then randomly choosed by big data storage platform, and sends access confirmation message to the mobile information acquisition terminal of the first quantity.
Description
Technical field
The present invention is big data information-handling technique field, especially with regard to a kind of information processing method based on big data
And device.
Background technique
Big data (big data), refer to can not be captured within the scope of certain time with conventional software tool, manage and
The data acquisition system of processing is to need new tupe that could have stronger decision edge, see clearly discovery power and process optimization ability
Magnanimity, high growth rate and diversified information assets.
Prior art CN104156465B discloses a kind of real-time synchronizing web pages and backstage distributed data-storage system,
Include: that the big data storage platform is used to use distributed storage architecture to the unstructured data of write-in, is member with task
Data model carries out structured storage；The real time data pushing module is connected to the big data storage platform, and with institute
It states multiple client and establishes Socket long-chain and connect road, when detecting that the data in the big data storage platform modify
When, automatically will data-pushing relevant to modification to each client；Each client is for receiving from described
The relevant data of the modification of real time data pushing module, and after logging in the specified address URL, in the webpage of each client
Real-time synchronization shows data relevant to modification.
Prior art CN105516355B discloses a kind of intelligent electric energy meter error big data based on fountain codes and deposits safely
Storage device and method, described device include the self-service device that calibrates for error of sequentially connected intelligent electric energy meter, HDFS client,
Hadoop big data storage platform；The self-service device that calibrates for error of the intelligent electric energy meter, for acquiring tested intelligent electric energy meter number
According to；The HDFS client is compiled for pre-processing to collected intelligent electric energy meter data, and to pretreated data
Decoding；The Hadoop big data storage platform is used to carry out distributed storage to intelligent electric energy meter error big data.
Prior art CN108280878A discloses a kind of multi-modal digital identity building dress of matter input block chain
It sets and method, threedimensional model building is carried out to the matter input object of pending block chain multi-modal digital identity building,
Obtain high-spectral data and basic description data；Three classes modal data is merged and generates multi-modal digital identity and distributed big
The multi-modal digital identity file that preservation and management generate on data storing platform；To the matter input object of each creation
Identity data generates a cryptographic Hash, and the cryptographic Hash of each matter input object identity data is placed on privately owned chain management
Single Component Management；The cryptographic Hash of matter input object digital identity newly-built every time is aggregated into existing all cryptographic Hash
One file carries out Hash processing, and the knot that Hash is handled to the matter input object digital identity file after polymerization
Fruit is mounted on publicly-owned chain as the data fingerprint of current privately owned chain entirety.
The above-mentioned prior art has been directed to the algorithm design of design and the big data processing of big data storage platform.But
Inventors have found that very detailed for the design of big data algorithm at present, for big data algorithm itself improvement
It is extremely limited, it is very difficult to improve the efficiency of big data analysis in a manner of by changing algorithm.In this case,
Many problems in data transmission procedure are just highly paid close attention to, and improve data transfer efficiency is beneficial to faster collect more
More data and information faster run up to enough analysis samples, this can in a disguised form improve data analysis efficiency.But it is sorry
, the above-mentioned prior art has not focused on this problem.
The information disclosed in the background technology section is intended only to increase the understanding to general background of the invention, without answering
When being considered as recognizing or imply that the information constitutes the prior art already known to those of ordinary skill in the art in any form.
Summary of the invention
The information processing method and device based on big data that the purpose of the present invention is to provide a kind of, can overcome existing
The defect of technology.
To achieve the above object, the information processing method based on big data that the present invention provides a kind of, it is characterised in that: base
Include the following steps: in the information processing method of big data
By mobile information acquisition terminal collect intelligence；
Access request message is sent from mobile information acquisition terminal to big data storage platform；
After sending access request message to big data storage platform from mobile information acquisition terminal, received by mobile information
Collection terminal continuously transmits the geographical location information of mobile information acquisition terminal to big data storage platform；
Geographical location information by big data storage platform based on the mobile information acquisition terminal continuously received determines movement
The movement speed of formula information acquisition terminal；
If the movement speed of mobile information acquisition terminal is greater than thresholding speed, the is sent to mobile information acquisition terminal
One measurement report order；
If mobile information acquisition terminal receives the first measurement report order, stored with first time interval to big data
Platform sends measurement report；
If the movement speed of mobile information acquisition terminal is less than thresholding speed, the is sent to mobile information acquisition terminal
Two measurement report orders；
If mobile information acquisition terminal receives the second measurement report order, stored with the second time interval to big data
Platform sends measurement report, wherein first time interval is less than the second time interval；
By big data storage platform based on the access request message received, determination requirement accesses the movement of big data storage platform
The quantity of formula information acquisition terminal；
Measurement report is based on by big data storage platform, judges the quality of data transmission channel；
If it is required that the quantity of the mobile information acquisition terminal of access big data storage platform is greater than big data storage platform institute
The quantity for the mobile information acquisition terminal that can be accommodated, then randomly choosed the mobile feelings of the first quantity by big data storage platform
Collection terminal is reported, and sends access confirmation message to the mobile information acquisition terminal of the first quantity.
In a preferred embodiment, wherein the first quantity is equal to the movable type that big data storage platform can accommodate
The quantity of information acquisition terminal, the information processing method based on big data include the following steps:
After mobile information acquisition terminal receives access confirmation message, collected feelings are sent to big data storage platform
Report.
In a preferred embodiment, wherein include by the mobile received ginseng of information acquisition terminal in measurement report
Examine the Signal to Interference plus Noise Ratio of signal, wherein reference signal is broadcasted by big data storage platform；Information processing side based on big data
Method includes the following steps:
By the quality for the data transmission channel that big data storage platform is obtained based on judgement, Random Waiting Time is generated；
From big data storage platform to other terminal transmissions incoming order message again, wherein incoming order message includes again
Random Waiting Time, and wherein, other terminals are to send access request message to big data storage platform but do not belong to
In the mobile information acquisition terminal of the mobile information acquisition terminal of the first quantity；
After receiving incoming order message again, secondary deposited from other terminals in Random Waiting Time and then to big data
It stores up platform and sends access request message.
In a preferred embodiment, the matter of the data transmission channel obtained by big data storage platform based on judgement
Amount generates Random Waiting Time and includes the following steps:
If the quality of data transmission channel is greater than quality threshold, the first Random Waiting Time is generated；
If the quality of data transmission channel is less than quality threshold, the second Random Waiting Time is generated；
Wherein, the first Random Waiting Time is less than the second Random Waiting Time.
In a preferred embodiment, the information processing method based on big data includes the following steps:
Collected information is sent from big data storage platform to visualization department and big data analysis department to be information
Collection and processing provide supporting.
The present invention also provides a kind of information processing devices based on big data, it is characterised in that: the feelings based on big data
Report processing unit include:
For the unit by mobile information acquisition terminal collect intelligence；
For sending the unit of access request message from mobile information acquisition terminal to big data storage platform；
For from mobile information acquisition terminal to big data storage platform send access request message after, by mobile feelings
Report collection terminal continuously transmits the unit of the geographical location information of mobile information acquisition terminal to big data storage platform；
For the geographical location information by big data storage platform based on the mobile information acquisition terminal continuously received, determine
The unit of the movement speed of mobile information acquisition terminal；
If the movement speed for mobile information acquisition terminal is greater than thresholding speed, sent out to mobile information acquisition terminal
Send the unit of the first measurement report order；
If receiving the first measurement report order for mobile information acquisition terminal, with first time interval to big data
The unit of storage platform transmission measurement report；
If the movement speed for mobile information acquisition terminal is less than thresholding speed, sent out to mobile information acquisition terminal
Send the unit of the second measurement report order；
If receiving the second measurement report order for mobile information acquisition terminal, with the second time interval to big data
The unit of storage platform transmission measurement report, wherein first time interval is less than the second time interval；
For by big data storage platform, based on the access request message received, determination requirement to access big data storage platform
The unit of the quantity of mobile information acquisition terminal；
For being based on measurement report by big data storage platform, the unit of the quality of data transmission channel is judged；
If it is flat that the quantity of the mobile information acquisition terminal for requiring access big data storage platform is greater than big data storage
The quantity for the mobile information acquisition terminal that platform can accommodate, then randomly choosed the movement of the first quantity by big data storage platform
Formula information acquisition terminal, and the unit for accessing confirmation message is sent to the mobile information acquisition terminal of the first quantity.
In a preferred embodiment, wherein the first quantity is equal to the movable type that big data storage platform can accommodate
The quantity of information acquisition terminal, the information processing device based on big data include:
For after mobile information acquisition terminal receives access confirmation message, send to big data storage platform collected by
Information unit.
In a preferred embodiment, wherein include by the mobile received ginseng of information acquisition terminal in measurement report
Examine the Signal to Interference plus Noise Ratio of signal, wherein reference signal is broadcasted by big data storage platform；Information processing dress based on big data
It sets and includes:
Quality for the data transmission channel obtained by big data storage platform based on judgement, generates the list of Random Waiting Time
Member；
For from big data storage platform to the unit of other terminal transmissions incoming order message again, wherein access life again
Enabling message includes Random Waiting Time, and wherein, and other terminals are to send access request to big data storage platform to disappear
The mobile information acquisition terminal of mobile information acquisition terminal that is ceasing but being not belonging to the first quantity；
For after receiving incoming order message again, from other terminals in Random Waiting Time and then secondary to big number
The unit of access request message is sent according to storage platform.
In a preferred embodiment, the matter of the data transmission channel obtained by big data storage platform based on judgement
Amount generates Random Waiting Time and includes the following steps:
If the quality for data transmission channel is greater than quality threshold, the unit of the first Random Waiting Time is generated；
If the quality for data transmission channel is less than quality threshold, the unit of the second Random Waiting Time is generated；
Wherein, the first Random Waiting Time is less than the second Random Waiting Time.
In a preferred embodiment, the information processing device based on big data includes:
For from big data storage platform to visualization department and big data analysis department send collected information so as to for
The collection and processing of information provide the unit of supporting.
Compared with prior art, the present invention has the advantage that as previously mentioned, the prior art, which is substantially all, relates to big number
The algorithm design handled according to the design and big data of storage platform.It is however noted that at present for big data algorithm
The improvement of itself is extremely limited, very tired to improve the efficiency of big data analysis in a manner of by changing algorithm
It is difficult.In this case, the information that the present invention devises between one kind new data collector terminal and big data storage platform is handed over
Mutual method, method of the invention according to the transmission of the adjustment measurement report of the speed variable of mobile terminal, meanwhile, reported according to measurement
It accuses to design the Random Waiting Time of mobile terminal transmission, prevents the crowded of transmission channel.Method of the invention improves data
Efficiency of transmission is conducive to faster collect more data and information, faster runs up to enough analysis samples, can be with
It is covert to improve data analysis efficiency.
Detailed description of the invention
Fig. 1 is method flow diagram according to an embodiment of the present invention.
Specific embodiment
With reference to the accompanying drawing, specific embodiments of the present invention will be described in detail, it is to be understood that guarantor of the invention
Shield range is not limited by the specific implementation.
Unless otherwise explicitly stated, otherwise in entire disclosure and claims, term " includes " or its change
Changing such as "comprising" or " including " etc. will be understood to comprise stated element or component, and not exclude other members
Part or other component parts.
Fig. 1 is method flow diagram according to an embodiment of the present invention.As shown, the method comprise the steps that
Step 101: by mobile information acquisition terminal collect intelligence；
Step 102: sending access request message from mobile information acquisition terminal to big data storage platform；
Step 103: after sending access request message to big data storage platform from mobile information acquisition terminal, by moving
Formula information acquisition terminal continuously transmits the geographical location information of mobile information acquisition terminal to big data storage platform；
Step 104: the geographical location information by big data storage platform based on the mobile information acquisition terminal continuously received,
Determine the movement speed of movable type information acquisition terminal；
Step 105: whole to mobile information acquisition if the movement speed of mobile information acquisition terminal is greater than thresholding speed
End sends the first measurement report order；
Step 106: if mobile information acquisition terminal receives the first measurement report order, with first time interval to big
Data storing platform sends measurement report；
Step 107: whole to mobile information acquisition if the movement speed of mobile information acquisition terminal is less than thresholding speed
End sends the second measurement report order；
Step 108: if mobile information acquisition terminal receives the second measurement report order, with the second time interval to big
Data storing platform sends measurement report, wherein first time interval is less than the second time interval；
Step 109: by big data storage platform based on the access request message received, it is flat that determination requirement accesses big data storage
The quantity of the mobile information acquisition terminal of platform；
Step 110: measurement report being based on by big data storage platform, judges the quality of data transmission channel；
Step 111: if the quantity of the mobile information acquisition terminal of access big data storage platform is required to deposit greater than big data
The quantity for the mobile information acquisition terminal that storage platform can accommodate, then randomly choose the first quantity by big data storage platform
Mobile information acquisition terminal, and access confirmation message is sent to the mobile information acquisition terminal of the first quantity.
In a preferred embodiment, wherein the first quantity is equal to the movable type that big data storage platform can accommodate
The quantity of information acquisition terminal, the information processing method based on big data include the following steps:
After mobile information acquisition terminal receives access confirmation message, collected feelings are sent to big data storage platform
Report.
In a preferred embodiment, wherein include by the mobile received ginseng of information acquisition terminal in measurement report
Examine the Signal to Interference plus Noise Ratio of signal, wherein reference signal is broadcasted by big data storage platform；Information processing side based on big data
Method includes the following steps:
By the quality for the data transmission channel that big data storage platform is obtained based on judgement, Random Waiting Time is generated；
From big data storage platform to other terminal transmissions incoming order message again, wherein incoming order message includes again
Random Waiting Time, and wherein, other terminals are to send access request message to big data storage platform but do not belong to
In the mobile information acquisition terminal of the mobile information acquisition terminal of the first quantity；
After receiving incoming order message again, secondary deposited from other terminals in Random Waiting Time and then to big data
It stores up platform and sends access request message.
In a preferred embodiment, the matter of the data transmission channel obtained by big data storage platform based on judgement
Amount generates Random Waiting Time and includes the following steps:
If the quality of data transmission channel is greater than quality threshold, the first Random Waiting Time is generated；
If the quality of data transmission channel is less than quality threshold, the second Random Waiting Time is generated；
Wherein, the first Random Waiting Time is less than the second Random Waiting Time.
In a preferred embodiment, the information processing method based on big data includes the following steps:
Collected information is sent from big data storage platform to visualization department and big data analysis department to be information
Collection and processing provide supporting.
The present invention also provides a kind of information processing devices based on big data, it is characterised in that: the feelings based on big data
Report processing unit include:
For the unit by mobile information acquisition terminal collect intelligence；
For sending the unit of access request message from mobile information acquisition terminal to big data storage platform；
For from mobile information acquisition terminal to big data storage platform send access request message after, by mobile feelings
Report collection terminal continuously transmits the unit of the geographical location information of mobile information acquisition terminal to big data storage platform；
For the geographical location information by big data storage platform based on the mobile information acquisition terminal continuously received, determine
The unit of the movement speed of mobile information acquisition terminal；
If the movement speed for mobile information acquisition terminal is greater than thresholding speed, sent out to mobile information acquisition terminal
Send the unit of the first measurement report order；
If receiving the first measurement report order for mobile information acquisition terminal, with first time interval to big data
The unit of storage platform transmission measurement report；
If the movement speed for mobile information acquisition terminal is less than thresholding speed, sent out to mobile information acquisition terminal
Send the unit of the second measurement report order；
If receiving the second measurement report order for mobile information acquisition terminal, with the second time interval to big data
The unit of storage platform transmission measurement report, wherein first time interval is less than the second time interval；
For by big data storage platform, based on the access request message received, determination requirement to access big data storage platform
The unit of the quantity of mobile information acquisition terminal；
For being based on measurement report by big data storage platform, the unit of the quality of data transmission channel is judged；
If it is flat that the quantity of the mobile information acquisition terminal for requiring access big data storage platform is greater than big data storage
The quantity for the mobile information acquisition terminal that platform can accommodate, then randomly choosed the movement of the first quantity by big data storage platform
Formula information acquisition terminal, and the unit for accessing confirmation message is sent to the mobile information acquisition terminal of the first quantity.
In a preferred embodiment, wherein the first quantity is equal to the movable type that big data storage platform can accommodate
The quantity of information acquisition terminal, the information processing device based on big data include:
For after mobile information acquisition terminal receives access confirmation message, send to big data storage platform collected by
Information unit.
In a preferred embodiment, wherein include by the mobile received ginseng of information acquisition terminal in measurement report
Examine the Signal to Interference plus Noise Ratio of signal, wherein reference signal is broadcasted by big data storage platform；Information processing dress based on big data
It sets and includes:
Quality for the data transmission channel obtained by big data storage platform based on judgement, generates the list of Random Waiting Time
Member；
For from big data storage platform to the unit of other terminal transmissions incoming order message again, wherein access life again
Enabling message includes Random Waiting Time, and wherein, and other terminals are to send access request to big data storage platform to disappear
The mobile information acquisition terminal of mobile information acquisition terminal that is ceasing but being not belonging to the first quantity；
For after receiving incoming order message again, from other terminals in Random Waiting Time and then secondary to big number
The unit of access request message is sent according to storage platform.
In a preferred embodiment, the matter of the data transmission channel obtained by big data storage platform based on judgement
Amount generates Random Waiting Time and includes the following steps:
If the quality for data transmission channel is greater than quality threshold, the unit of the first Random Waiting Time is generated；
If the quality for data transmission channel is less than quality threshold, the unit of the second Random Waiting Time is generated；
Wherein, the first Random Waiting Time is less than the second Random Waiting Time.
In a preferred embodiment, the information processing device based on big data includes:
For from big data storage platform to visualization department and big data analysis department send collected information so as to for
The collection and processing of information provide the unit of supporting.
It will be understood by those skilled in the art that various any one of various different technologies and skill can be used for information and signal
It indicates.For example, through be described above the data that may be addressed always, instruction, order, information, signal, position (bit), symbol,
With chip can by voltage, electric current, electromagnetic wave, magnetic field or magnetic particle, light field or light particle, or any combination thereof indicate.
Those skilled in the art will further appreciate that, the various illustrative logical boxs in conjunction with described in being disclosed herein, module,
Circuit and algorithm steps can be implemented as the combination of electronic hardware, computer software, or both.For a clear explanation hardware with
This interchangeability of software, it is above to describe various illustrative components, frame, mould generalizedly in the form of its is functional
Block, circuit and step.Such functionality is implemented as hardware or software depends on concrete application and is added to total system
Design constraint.Technical staff can realize in different method described function, but such reality for every kind of specific application
Existing decision is not to be read as causing a departure from the scope of the present disclosure.
It available is designed to execute in conjunction with the various illustrative logical boxs, module and circuit of description disclosed herein
The general processor of functions described in this article, digital signal processor (DSP), specific integrated circuit (ASIC), scene can compile
Journey gate array (FPGA) or other programmable logic device, discrete door or transistor logic, discrete hardware component or its
What combination is to realize or execute.General processor can be microprocessor, but in alternative, and processor can be any normal
Processor, controller, microcontroller or the state machine of rule.Processor is also implemented as calculating the combination of equipment, such as
DSP and the combination of microprocessor, multi-microprocessor, one or more microprocessors to cooperate with DSP core or it is any its
His such configuration.
In conjunction with description disclosed herein method or algorithm the step of can be embodied directly in hardware, in by processor execute software
Implement in module or in combination of the two.Software module can reside in RAM memory, flash memory, ROM memory, EPROM
Memory, eeprom memory, register, hard disk, removable disk, CD-ROM or any other form known in the art
Storage medium in.Exemplary storage medium is coupled to processor so that the processor can read and write letter from/to the storage medium
Breath.In alternative, storage medium can be integrated into processor.Pocessor and storage media can reside in ASIC.
ASIC can reside in user terminal.In alternative, pocessor and storage media can be used as discrete assembly and reside in user
In terminal.
In one or more exemplary designs, described function can be in hardware, software, firmware or its is any
It is realized in combination.If realized in software, each function can be used as one or more instruction or code is stored in computer
It is transmitted on readable medium or by it.Computer-readable medium includes both computer storage media and communication medias, packet
Include any medium for facilitating computer program to shift from one place to another.Storage medium can be can be by general or specialized calculating
Any usable medium of machine access.It is non-limiting as example, such computer-readable medium may include RAM, ROM,
EEPROM, CD-ROM or other optical disc storages, disk storage or other magnetic storage apparatus can be used to carrying or store instruction
Or data structure form expectation program code means and can be visited by general or specialized computer or general or specialized processor
Any other medium asked.In addition, any connection is also properly termed a computer-readable medium.For example, if software is to make
With the nothing of coaxial cable, fiber optic cables, twisted pair, digital subscriber line (DSL) or such as infrared, radio and microwave etc
Line technology is transmitted from web site, server or other remote sources, then the coaxial cable, fiber optic cables, twisted pair, DSL,
Or the wireless technology of such as infrared, radio and microwave etc is just included among the definition of medium.As made herein
, disk (disk) and dish (disc) include compression dish (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and blue light
Dish, which disk (disk) are often reproduced magnetically data, and dish (disc) with laser reproduce data optically.More than
Combination should be also included within the scope of computer readable media.
The aforementioned description to specific exemplary embodiment of the invention is in order to illustrate and illustration purpose.These descriptions
It is not wishing to limit the invention to disclosed precise forms, and it will be apparent that according to the above instruction, can much be changed
And variation.The purpose of selecting and describing the exemplary embodiment is that explaining specific principle of the invention and its actually answering
With so that those skilled in the art can be realized and utilize a variety of different exemplary implementation schemes of the invention and
Various chooses and changes.The scope of the present invention is intended to be limited by claims and its equivalents.
Claims (10)
1. a kind of information processing method based on big data, it is characterised in that: the information processing method packet based on big data
Include following steps:
By mobile information acquisition terminal collect intelligence；
Access request message is sent from mobile information acquisition terminal to big data storage platform；
After sending access request message to big data storage platform from mobile information acquisition terminal, received by mobile information
Collection terminal continuously transmits the geographical location information of the mobile information acquisition terminal to big data storage platform；
Geographical location information by the big data storage platform based on the mobile information acquisition terminal continuously received,
Determine the movement speed of the mobile information acquisition terminal；
It is whole to the mobile information acquisition if the movement speed of the movable type information acquisition terminal is greater than thresholding speed
End sends the first measurement report order；
If the movable type information acquisition terminal receives the first measurement report order, with first time interval to institute
It states big data storage platform and sends measurement report；
It is whole to the mobile information acquisition if the movement speed of the movable type information acquisition terminal is less than thresholding speed
End sends the second measurement report order；
If the movable type information acquisition terminal receives the second measurement report order, with the second time interval to institute
It states big data storage platform and sends measurement report, wherein first time interval is less than the second time interval；
By the big data storage platform based on the access request message received, it is flat that determination requirement accesses the big data storage
The quantity of the mobile information acquisition terminal of platform；
The measurement report is based on by the big data storage platform, judges the quality of data transmission channel；
If deposited it is required that the quantity of the mobile information acquisition terminal of the access big data storage platform is greater than the big data
The quantity for the mobile information acquisition terminal that storage platform can accommodate then randomly chooses the first number by the big data storage platform
The mobile information acquisition terminal of amount, and access confirmation message is sent to the mobile information acquisition terminal of first quantity.
2. the information processing method based on big data as described in claim 1, it is characterised in that: wherein, first quantity
Equal to the quantity for the mobile information acquisition terminal that the big data storage platform can accommodate, the information based on big data
Processing method includes the following steps:
After the mobile information acquisition terminal receives the access confirmation message, Xiang Suoshu big data storage platform hair
Send collected information.
3. the information processing method based on big data as claimed in claim 2, it is characterised in that: wherein, the measurement report
In include by the Signal to Interference plus Noise Ratio of the mobile received reference signal of information acquisition terminal, wherein the reference signal be by
The big data storage platform broadcast；The information processing method based on big data includes the following steps:
By the quality for the data transmission channel that the big data storage platform is obtained based on judgement, Random Waiting Time is generated；
From the big data storage platform to other terminal transmissions incoming order message again, wherein the incoming order again
Message includes Random Waiting Time, and wherein, and other terminals are to send to access to the big data storage platform
Request message but the mobile information acquisition terminal that is not belonging to first quantity mobile information acquisition terminal；
After receiving the incoming order message again, by other terminals in the Random Waiting Time and then
It is secondary to send access request message to the big data storage platform.
4. the information processing method based on big data as claimed in claim 3, it is characterised in that: stored by the big data flat
The quality for the data transmission channel that stylobate is obtained in judgement generates Random Waiting Time and includes the following steps:
If the quality of the data transmission channel is greater than quality threshold, the first Random Waiting Time is generated；
If the quality of the data transmission channel is less than quality threshold, the second Random Waiting Time is generated；
Wherein, first Random Waiting Time is less than second Random Waiting Time.
5. the information processing method based on big data as claimed in claim 4, it is characterised in that: the feelings based on big data
Report processing method includes the following steps:
From the big data storage platform to visualization department and big data analysis department send collected information so as to for
The collection and processing of information provide supporting.
6. a kind of information processing device based on big data, it is characterised in that: the information processing device packet based on big data
It includes:
For the unit by mobile information acquisition terminal collect intelligence；
For sending the unit of access request message from mobile information acquisition terminal to big data storage platform；
For from mobile information acquisition terminal to big data storage platform send access request message after, by mobile feelings
Report collection terminal continuously transmits the unit of the geographical location information of the mobile information acquisition terminal to big data storage platform；
For the geographical location by the big data storage platform based on the mobile information acquisition terminal continuously received
Information determines the unit of the movement speed of the mobile information acquisition terminal；
If the movement speed for the mobile information acquisition terminal is greater than thresholding speed, received to the mobile information
Collect the unit that terminal sends the first measurement report order；
If the first measurement report order is received for the mobile information acquisition terminal, with first time interval
The unit of measurement report is sent to the big data storage platform；
If the movement speed for the mobile information acquisition terminal is less than thresholding speed, received to the mobile information
Collect the unit that terminal sends the second measurement report order；
If the second measurement report order is received for the mobile information acquisition terminal, with the second time interval
The unit of measurement report is sent to the big data storage platform, wherein first time interval is less than the second time interval；
For by the big data storage platform, based on the access request message received, determination requirement to access the big data and deposits
Store up the unit of the quantity of the mobile information acquisition terminal of platform；
For being based on the measurement report by the big data storage platform, the unit of the quality of data transmission channel is judged；
If the quantity of the mobile information acquisition terminal for requiring to access the big data storage platform is greater than the big number
According to the quantity for the mobile information acquisition terminal that storage platform can accommodate, then is randomly choosed by the big data storage platform
The mobile information acquisition terminal of one quantity, and access confirmation letter is sent to the mobile information acquisition terminal of first quantity
The unit of breath.
7. as claimed in claim 6 based on the information processing device of big data, it is characterised in that: wherein, first quantity
Equal to the quantity for the mobile information acquisition terminal that the big data storage platform can accommodate, the information based on big data
Processing unit includes:
For after the mobile information acquisition terminal receives the access confirmation message, the storage of Xiang Suoshu big data to be flat
Platform sends the unit of collected information.
8. as claimed in claim 7 based on the information processing device of big data, it is characterised in that: wherein, the measurement report
In include by the Signal to Interference plus Noise Ratio of the mobile received reference signal of information acquisition terminal, wherein the reference signal be by
The big data storage platform broadcast；The information processing device based on big data includes:
Quality for the data transmission channel obtained by the big data storage platform based on judgement, generates Random Waiting Time
Unit；
For from the big data storage platform to the unit of other terminal transmissions incoming order message again, wherein it is described again
Secondary incoming order message includes Random Waiting Time, and wherein, and other terminals are flat to big data storage
The mobile information acquisition of mobile information acquisition terminal that is that platform sends access request message but being not belonging to first quantity
Terminal；
For after receiving the incoming order message again, by other terminals the Random Waiting Time it
Afterwards, the unit of access request message is sent to the big data storage platform again.
9. as claimed in claim 8 based on the information processing device of big data, it is characterised in that: stored by the big data flat
The quality for the data transmission channel that stylobate is obtained in judgement generates Random Waiting Time and includes the following steps:
If the quality for the data transmission channel is greater than quality threshold, the unit of the first Random Waiting Time is generated；
If the quality for the data transmission channel is less than quality threshold, the unit of the second Random Waiting Time is generated；
Wherein, first Random Waiting Time is less than second Random Waiting Time.
10. as claimed in claim 9 based on the information processing device of big data, it is characterised in that: described based on big data
Information processing device includes:
For from the big data storage platform to visualization department and big data analysis department send collected information with
Just the unit of supporting is provided for the collection of information and processing.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110312223A (en) * | 2019-07-24 | 2019-10-08 | 潍坊医学院附属医院 | A kind of Urology Surgery chemical examination information transmission system and computer readable storage medium |
| CN111552213A (en) * | 2020-05-21 | 2020-08-18 | 云南电网有限责任公司昭通供电局 | Power communication equipment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008019924A1 (en) * | 2006-08-17 | 2008-02-21 | Alcatel Lucent | Processing device for transmitting measurements performed by radio terminals |
| CN106792789A (en) * | 2015-11-24 | 2017-05-31 | 中国移动通信集团安徽有限公司 | A kind of method and device of identification miss-configured neighboring cells |
| CN106973406A (en) * | 2016-01-13 | 2017-07-21 | 亿阳信通股份有限公司 | A kind of weak overlay area detection method and system |
-
2018
- 2018-11-13 CN CN201811344031.3A patent/CN109787949A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2008019924A1 (en) * | 2006-08-17 | 2008-02-21 | Alcatel Lucent | Processing device for transmitting measurements performed by radio terminals |
| CN106792789A (en) * | 2015-11-24 | 2017-05-31 | 中国移动通信集团安徽有限公司 | A kind of method and device of identification miss-configured neighboring cells |
| CN106973406A (en) * | 2016-01-13 | 2017-07-21 | 亿阳信通股份有限公司 | A kind of weak overlay area detection method and system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110312223A (en) * | 2019-07-24 | 2019-10-08 | 潍坊医学院附属医院 | A kind of Urology Surgery chemical examination information transmission system and computer readable storage medium |
| CN111552213A (en) * | 2020-05-21 | 2020-08-18 | 云南电网有限责任公司昭通供电局 | Power communication equipment |
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