CN109392196B - Big data analysis method and system based on mobile terminal - Google Patents
Big data analysis method and system based on mobile terminal Download PDFInfo
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- CN109392196B CN109392196B CN201811248534.0A CN201811248534A CN109392196B CN 109392196 B CN109392196 B CN 109392196B CN 201811248534 A CN201811248534 A CN 201811248534A CN 109392196 B CN109392196 B CN 109392196B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W76/00—Connection management
- H04W76/10—Connection setup
- H04W76/18—Management of setup rejection or failure
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W76/00—Connection management
- H04W76/10—Connection setup
- H04W76/11—Allocation or use of connection identifiers
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Abstract
The invention discloses a big data analysis method and a big data analysis system based on a mobile terminal, wherein the big data analysis method comprises the following steps: collecting user information of a specified type by a mobile terminal; the mobile terminal sends a transmission channel establishment request message to a big data analysis center; if the mobile terminal does not receive the transmission channel establishment response message before the first timer is overtime, and does not receive the transmission channel establishment negative message, the mobile terminal immediately sends the transmission channel establishment request message to the big data analysis center again; if the mobile terminal receives the transmission channel establishment negative message before the first timer is overtime, the mobile terminal sends a transmission channel establishment request message to the big data analysis center again after waiting for the first time; and if the mobile terminal receives the transmission channel establishment response message before the first timer is overtime, the mobile terminal sends the identity identifier of the mobile terminal to the big data analysis center.
Description
Technical Field
The present invention relates to the field of big data analysis technologies, and in particular, to a big data analysis method and system based on a mobile terminal.
Background
Currently, no well-established definition or concept has been formed for big data. In the hundred degree encyclopedia, Big Data is defined as Big Data (Big Data), the main core of the Big Data is in Big words, the Big Data exceeds the category of common Data processing in the Data processing process, and the work of Data processing is difficult to be carried out by applying modern general software. The definition in wikipedia is that big data refers to huge amount of data information which is difficult to process by human, and huge information which can be read is finally integrated by a special processing method. Makentin has also been given a general definition of big data, which is considered to be data information outside the normal software processing range "it is noted that makentin does not consider big data to require setting a specific TB value. Amazon also studies big data, and its internal scientists also give corresponding definitions, which think it is a kind of data information that is difficult to process by computers. IDC then defines big data as: the method conforms to the economic benefit, has super-strong information capacity, and has a modern data processing technology with a special structure and various types. The famous writer also gives a personal view on big data, and thinks that the big data has multiple meanings, thereby not only having containment on capacity, but also having the characteristics of wide and big in the aspects of data application, data transmission and the like. And under the promotion of big data, various industries in society can also achieve great development and great effect in multiple aspects such as economy, science and technology and the like.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to provide a big data analysis method based on a mobile terminal, which can overcome the defects of the prior art.
Another object of the present invention is to provide a big data analysis system based on a mobile terminal.
In order to achieve the above object, the present invention provides a big data analysis method based on a mobile terminal, comprising the following steps: collecting user information of a specified type by a mobile terminal; the mobile terminal sends a transmission channel establishment request message to a big data analysis center; if the mobile terminal does not receive the transmission channel establishment response message before the first timer is overtime, and does not receive the transmission channel establishment negative message, the mobile terminal immediately sends the transmission channel establishment request message to the big data analysis center again; if the mobile terminal receives the transmission channel establishment negative message before the first timer is overtime, the mobile terminal sends the transmission channel establishment request message to the big data analysis center again after waiting for a first time, wherein the first time is indicated in the transmission channel establishment negative message; if the mobile terminal receives a transmission channel establishment response message before the first timer is overtime, the mobile terminal sends the identity identifier of the mobile terminal to the big data analysis center; if the mobile terminal does not receive the identity identifier receiving confirmation message before the second timer is overtime, the mobile terminal immediately resends the identity identifier of the mobile terminal to the big data analysis center and updates the resending times; if the number of times of resending is greater than the predefined number of times, the mobile terminal immediately resends the transmission channel establishment request message to the big data analysis center; if the mobile terminal receives the identity identifier acceptance confirmation message before the second timer is overtime, the mobile terminal continuously judges whether a data transmission confirmation message is received before the third timer is overtime; and if the mobile terminal judges that a correct data transmission confirmation message is received before the third timer times out, transmitting the collected user information of the designated type to the big data analysis center by the mobile terminal.
In a preferred embodiment, the big data analysis method based on the mobile terminal comprises the following steps: and if the mobile terminal judges that the correct data transmission confirmation message is not received before the third timer is overtime, immediately and newly sending a transmission channel establishment request message to the big data analysis center by the mobile terminal.
In a preferred embodiment, the data transmission confirmation message is sent by the big data analysis center based on the following steps: receiving a plurality of identity identifiers transmitted by a plurality of mobile terminals; judging the current wireless network condition; determining the number of mobile terminals allowed to be sent based on the current wireless network condition; randomly selecting a plurality of selected identity identifiers from the plurality of identity identifiers based on the determined number of mobile terminals allowed to transmit; broadcasting a plurality of selected identity identifiers; wherein if the mobile terminal determines that there is an own identity identifier among the broadcasted plurality of selected identity identifiers, it determines that a correct data transmission confirmation message is received.
In a preferred embodiment, wherein the transport channel setup response message is sent by the big data analysis center in response to receiving the transport channel setup request message; and wherein the transmission channel setup negative message is generated by the big data analytics center based on: judging the condition of a wireless network; judging the number of mobile terminals sending the transmission channel establishment request message; judging the number of mobile terminals allowed to be sent based on the wireless network condition; and generating a transport channel setup negative message if the number of mobile terminals allowed to transmit is less than the number of mobile terminals transmitting the transport channel setup request message.
In a preferred embodiment, wherein the identity identifier reception confirmation message is sent by the big data analysis center in response to receiving the identity identifier of the mobile terminal.
The invention also provides a big data analysis system based on the mobile terminal, which comprises: a plurality of mobile terminals; the big data analysis center is in communication connection with each mobile terminal of the plurality of mobile terminals; wherein the mobile terminal is configured to: collecting user information of a specified type; sending a transmission channel establishment request message to a big data analysis center; if the transmission channel establishment response message is not received before the first timer is overtime, and a transmission channel establishment negative message is not received, immediately and again sending a transmission channel establishment request message to the big data analysis center; if the transmission channel establishment negative message is received before the first timer is overtime, the transmission channel establishment request message is sent to the big data analysis center again after waiting for the first time, wherein the first time is indicated in the transmission channel establishment negative message; if the transmission channel establishment response message is received before the first timer is overtime, the identity identifier of the mobile terminal is sent to the big data analysis center; if the identity identifier receiving confirmation message is not received before the second timer is overtime, immediately resending the identity identifier of the mobile terminal to the big data analysis center, and updating the resending times; if the retransmission times are more than the predefined times, immediately retransmitting a transmission channel establishment request message to the big data analysis center; if the identity identifier acceptance confirmation message is received before the second timer is overtime, continuously judging whether a data transmission confirmation message is received before the third timer is overtime; and if the mobile terminal judges that a correct data transmission confirmation message is received before the third timer times out, transmitting the collected user information of the specified type to the big data analysis center.
In a preferred embodiment, the mobile terminal is configured to: and if the correct data transmission confirmation message is not received before the third timer is overtime, immediately sending the transmission channel establishment request message to the big data analysis center again.
In a preferred embodiment, the data transmission confirmation message is sent by the big data analysis center based on the following steps: receiving a plurality of identity identifiers transmitted by a plurality of mobile terminals; judging the current wireless network condition; determining the number of mobile terminals allowed to be sent based on the current wireless network condition; randomly selecting a plurality of selected identity identifiers from the plurality of identity identifiers based on the determined number of mobile terminals allowed to transmit; broadcasting a plurality of selected identity identifiers; wherein if the mobile terminal determines that there is an own identity identifier among the broadcasted plurality of selected identity identifiers, it determines that a correct data transmission confirmation message is received.
In a preferred embodiment, wherein the transport channel setup response message is sent by the big data analysis center in response to receiving the transport channel setup request message; and wherein the transmission channel setup negative message is generated by the big data analytics center based on: judging the condition of a wireless network; judging the number of mobile terminals sending the transmission channel establishment request message; judging the number of mobile terminals allowed to be sent based on the wireless network condition; and generating a transport channel setup negative message if the number of mobile terminals allowed to transmit is less than the number of mobile terminals transmitting the transport channel setup request message.
In a preferred embodiment, wherein the identity identifier reception confirmation message is sent by the big data analysis center in response to receiving the identity identifier of the mobile terminal.
Compared with the prior art, the big data analysis method and the big data analysis system based on the mobile terminal have the following advantages that: big data analysis is a very important technical development in recent years, and with the development of high-speed computers and wireless networks, big data analysis is continuously developed towards civilization and wireless. In some specific fields (such as online shopping), information push based on big data analysis is very sensitive to the delay of data transmission, the purchasing desire of many users can fade quickly, and if the information required by the users cannot be pushed quickly, the purchasing possibility of the clients is reduced. In order to ensure low delay of information transmission based on a wireless network, the invention develops a big data analysis method based on a mobile terminal. According to the simulation result, the invention can maximally achieve the balance between the transmission failure probability and the delay time under the existing wireless channel framework.
Drawings
Fig. 1 is a flowchart of a big data analysis method based on a mobile terminal according to an embodiment of the present invention.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
Fig. 1 is a flowchart of a big data analysis method based on a mobile terminal according to an embodiment of the present invention. As shown in the figure, the big data analysis system method based on the mobile terminal comprises the following steps:
step 101: collecting user information of a specified type by a mobile terminal;
step 102: the mobile terminal sends a transmission channel establishment request message to a big data analysis center;
step 103: if the mobile terminal does not receive the transmission channel establishment response message before the first timer is overtime, and does not receive the transmission channel establishment negative message, the mobile terminal immediately sends the transmission channel establishment request message to the big data analysis center again;
step 104: if the mobile terminal receives the transmission channel establishment negative message before the first timer is overtime, the mobile terminal sends the transmission channel establishment request message to the big data analysis center again after waiting for a first time, wherein the first time is indicated in the transmission channel establishment negative message;
step 105: if the mobile terminal receives a transmission channel establishment response message before the first timer is overtime, the mobile terminal sends the identity identifier of the mobile terminal to the big data analysis center;
step 106: if the mobile terminal does not receive the identity identifier receiving confirmation message before the second timer is overtime, the mobile terminal immediately resends the identity identifier of the mobile terminal to the big data analysis center and updates the resending times;
step 107: if the number of times of resending is greater than the predefined number of times, the mobile terminal immediately resends the transmission channel establishment request message to the big data analysis center;
step 108: if the mobile terminal receives the identity identifier acceptance confirmation message before the second timer is overtime, the mobile terminal continuously judges whether a data transmission confirmation message is received before the third timer is overtime; and
step 109: and if the mobile terminal judges that the correct data transmission confirmation message is received before the third timer is overtime, the mobile terminal sends the collected user information of the specified type to the big data analysis center.
In a preferred embodiment, the big data analysis method based on the mobile terminal comprises the following steps: and if the mobile terminal judges that the correct data transmission confirmation message is not received before the third timer is overtime, immediately and newly sending a transmission channel establishment request message to the big data analysis center by the mobile terminal.
In a preferred embodiment, the data transmission confirmation message is sent by the big data analysis center based on the following steps: receiving a plurality of identity identifiers transmitted by a plurality of mobile terminals; judging the current wireless network condition; determining the number of mobile terminals allowed to be sent based on the current wireless network condition; randomly selecting a plurality of selected identity identifiers from the plurality of identity identifiers based on the determined number of mobile terminals allowed to transmit; broadcasting a plurality of selected identity identifiers; wherein if the mobile terminal determines that there is an own identity identifier among the broadcasted plurality of selected identity identifiers, it determines that a correct data transmission confirmation message is received.
In a preferred embodiment, wherein the transport channel setup response message is sent by the big data analysis center in response to receiving the transport channel setup request message; and wherein the transmission channel setup negative message is generated by the big data analytics center based on: judging the condition of a wireless network; judging the number of mobile terminals sending the transmission channel establishment request message; judging the number of mobile terminals allowed to be sent based on the wireless network condition; and generating a transport channel setup negative message if the number of mobile terminals allowed to transmit is less than the number of mobile terminals transmitting the transport channel setup request message.
In a preferred embodiment, wherein the identity identifier reception confirmation message is sent by the big data analysis center in response to receiving the identity identifier of the mobile terminal.
The invention also provides a big data analysis system based on the mobile terminal, which comprises: a plurality of mobile terminals; the big data analysis center is in communication connection with each mobile terminal of the plurality of mobile terminals; wherein the mobile terminal is configured to: collecting user information of a specified type; sending a transmission channel establishment request message to a big data analysis center; if the transmission channel establishment response message is not received before the first timer is overtime, and a transmission channel establishment negative message is not received, immediately and again sending a transmission channel establishment request message to the big data analysis center; if the transmission channel establishment negative message is received before the first timer is overtime, the transmission channel establishment request message is sent to the big data analysis center again after waiting for the first time, wherein the first time is indicated in the transmission channel establishment negative message; if the transmission channel establishment response message is received before the first timer is overtime, the identity identifier of the mobile terminal is sent to the big data analysis center; if the identity identifier receiving confirmation message is not received before the second timer is overtime, immediately resending the identity identifier of the mobile terminal to the big data analysis center, and updating the resending times; if the retransmission times are more than the predefined times, immediately retransmitting a transmission channel establishment request message to the big data analysis center; if the identity identifier acceptance confirmation message is received before the second timer is overtime, continuously judging whether a data transmission confirmation message is received before the third timer is overtime; and if the mobile terminal judges that a correct data transmission confirmation message is received before the third timer is overtime, sending the collected user information of the specified type to the big data analysis center.
In a preferred embodiment, the mobile terminal is configured to: and if the correct data transmission confirmation message is not received before the third timer is overtime, immediately sending the transmission channel establishment request message to the big data analysis center again.
In a preferred embodiment, the data transmission confirmation message is sent by the big data analysis center based on the following steps: receiving a plurality of identity identifiers transmitted by a plurality of mobile terminals; judging the current wireless network condition; determining the number of mobile terminals allowed to be sent based on the current wireless network condition; randomly selecting a plurality of selected identity identifiers from the plurality of identity identifiers based on the determined number of mobile terminals allowed to transmit; broadcasting a plurality of selected identity identifiers; wherein if the mobile terminal determines that there is an own identity identifier among the broadcasted plurality of selected identity identifiers, it determines that a correct data transmission confirmation message is received.
In a preferred embodiment, wherein the transport channel setup response message is sent by the big data analysis center in response to receiving the transport channel setup request message; and wherein the transmission channel setup negative message is generated by the big data analytics center based on: judging the condition of a wireless network; judging the number of mobile terminals sending the transmission channel establishment request message; judging the number of mobile terminals allowed to be sent based on the wireless network condition; and generating a transport channel setup negative message if the number of mobile terminals allowed to transmit is less than the number of mobile terminals transmitting the transport channel setup request message.
In a preferred embodiment, wherein the identity identifier reception confirmation message is sent by the big data analysis center in response to receiving the identity identifier of the mobile terminal.
It should be noted that the method in the embodiment of the present invention can be implemented by a device with a processor, and the device also includes instructions (software) stored with the program according to the method of the present invention, and when the software is executed by the processor, the device can implement the method of the present invention. Methods of programming are well known in the art and how to program is not material to the invention, and in the interest of brevity, the invention does not introduce programming details. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The instructions may be implemented and controlled by a processor to perform the methods disclosed by the embodiments of the invention. The processor may also be a general purpose processor, a Digital Signal Processor (DSP), an application specific integrated circuit (application specific integrated circuit), an off-the-shelf programmable Gate Array (FPGA) or other programmable logic device, discrete Gate or transistor logic, or discrete hardware components.
The general purpose processor may be a microprocessor or the processor may be any conventional processor, decoder, etc. The steps of a method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in the processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art.
As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that all or part of the steps in the above embodiment methods can be implemented by software plus a general hardware platform. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which may be stored in a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network communication device such as a media gateway, etc.) to execute the method according to the embodiments or some parts of the embodiments.
It should be noted that, in the present specification, all the embodiments are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the method embodiments and apparatus embodiments are substantially similar to the system embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the system embodiments for related points. The above-described embodiments of the apparatus and system are merely illustrative, wherein modules described as separate parts may or may not be physically separate, and parts shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only for the preferred embodiment of the present invention and is not intended to limit the scope of the present invention. It should be noted that, for those skilled in the art, without departing from the principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be construed as the protection scope of the present invention.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.
Claims (10)
1. A big data analysis method based on a mobile terminal is characterized by comprising the following steps:
collecting user information of a specified type by a mobile terminal;
the mobile terminal sends a transmission channel establishment request message to a big data analysis center;
if the mobile terminal does not receive the transmission channel establishment confirmation message or the transmission channel establishment negative message before the first timer is overtime, the mobile terminal immediately sends a transmission channel establishment request message to the big data analysis center again;
if the mobile terminal receives the transmission channel establishment negative message before the first timer is overtime, the mobile terminal sends the transmission channel establishment request message to the big data analysis center again after waiting for a first time, wherein the first time is indicated in the transmission channel establishment negative message;
if the mobile terminal receives a transmission channel establishment confirmation message before the first timer is overtime, the mobile terminal sends the identity identifier of the mobile terminal to the big data analysis center;
if the mobile terminal does not receive the identity identifier receiving confirmation message before the second timer is overtime, the mobile terminal immediately resends the identity identifier of the mobile terminal to the big data analysis center and updates the resending times;
if the number of times of resending is greater than the predefined number of times, the mobile terminal immediately resends a transmission channel establishment request message to a big data analysis center;
if the mobile terminal receives the identity identifier acceptance confirmation message before the second timer is overtime, the mobile terminal continuously judges whether a data transmission confirmation message is received before the third timer is overtime; and
and if the mobile terminal judges that a correct data transmission confirmation message is received before the third timer is overtime, the mobile terminal sends the collected user information of the specified type to the big data analysis center.
2. The mobile terminal-based big data analysis method of claim 1, wherein the mobile terminal-based big data analysis method comprises the steps of: and if the mobile terminal judges that the correct data transmission confirmation message is not received before the third timer is overtime, the mobile terminal immediately sends a transmission channel establishment request message to the big data analysis center again.
3. The mobile terminal-based big data analysis method of claim 2, wherein the data transmission confirmation message is transmitted by the big data analysis center based on the following steps:
receiving a plurality of identity identifiers transmitted by a plurality of mobile terminals;
judging the current wireless network condition;
determining the number of mobile terminals allowed to be sent based on the current wireless network condition;
randomly selecting a plurality of selected identity identifiers from the plurality of identity identifiers based on the determined number of mobile terminals allowed to transmit;
broadcasting the plurality of selected identity identifiers;
wherein if the mobile terminal determines that there is an own identity identifier among the broadcasted plurality of selected identity identifiers, it determines that a correct data transmission confirmation message is received.
4. The mobile terminal-based big data analysis method of claim 3, wherein the transmission channel setup confirm message is transmitted by the big data analysis center in response to receiving the transmission channel setup request message; and wherein the transmission channel setup negative message is generated by the big data analytics center based on:
judging the condition of a wireless network;
judging the number of the mobile terminals sending the transmission channel establishment request message;
judging the number of mobile terminals allowed to be sent based on the wireless network condition; and
and if the number of the mobile terminals allowed to be sent is less than the number of the mobile terminals sending the transmission channel establishment request message, generating the transmission channel establishment negative message.
5. The mobile terminal-based big data analysis method of claim 4, wherein the identity identifier reception confirmation message is transmitted by the big data analysis center in response to receiving the identity identifier of the mobile terminal.
6. A big data analysis system based on a mobile terminal is characterized by comprising:
a plurality of mobile terminals; and
a big data analysis center in communication connection with each of the plurality of mobile terminals;
wherein the mobile terminal is configured to:
collecting user information of a specified type;
sending a transmission channel establishment request message to a big data analysis center;
if the transmission channel establishment confirmation message is not received before the first timer is overtime, and the transmission channel establishment negative message is not received, immediately and again sending a transmission channel establishment request message to the big data analysis center;
if a transmission channel establishment negative message is received before a first timer times out, resending a transmission channel establishment request message to the big data analysis center after waiting for a first time, wherein the first time is indicated in the transmission channel establishment negative message;
if a transmission channel establishment confirmation message is received before the first timer is overtime, the identity identifier of the mobile terminal is sent to the big data analysis center;
if the identity identifier receiving confirmation message is not received before the second timer is overtime, immediately resending the identity identifier of the mobile terminal to the big data analysis center, and updating the resending times;
if the retransmission times are more than the predefined times, immediately retransmitting a transmission channel establishment request message to the big data analysis center;
if the identity identifier acceptance confirmation message is received before the second timer is overtime, continuously judging whether a data transmission confirmation message is received before the third timer is overtime; and
and if the mobile terminal judges that a correct data transmission confirmation message is received before the third timer is overtime, sending the collected user information of the specified type to the big data analysis center.
7. The mobile terminal-based big data analysis system of claim 6, wherein the mobile terminal is configured to: and if the correct data transmission confirmation message is not received before the third timer is overtime, immediately sending the transmission channel establishment request message to the big data analysis center again.
8. The mobile terminal-based big data analysis system of claim 7, wherein the data transmission confirmation message is transmitted by the big data analysis center based on the following steps:
receiving a plurality of identity identifiers transmitted by a plurality of mobile terminals;
judging the current wireless network condition;
determining the number of mobile terminals allowed to be sent based on the current wireless network condition;
randomly selecting a plurality of selected identity identifiers from the plurality of identity identifiers based on the determined number of mobile terminals allowed to transmit;
broadcasting the plurality of selected identity identifiers;
wherein if the mobile terminal determines that there is an own identity identifier among the broadcasted plurality of selected identity identifiers, it determines that a correct data transmission confirmation message is received.
9. The mobile terminal-based big data analysis system of claim 8, wherein the transmission channel setup confirm message is transmitted by the big data analysis center in response to receiving the transmission channel setup request message; and wherein the transmission channel setup negative message is generated by the big data analytics center based on:
judging the condition of a wireless network;
judging the number of the mobile terminals sending the transmission channel establishment request message;
judging the number of mobile terminals allowed to be sent based on the wireless network condition; and
and if the number of the mobile terminals allowed to be sent is less than the number of the mobile terminals sending the transmission channel establishment request message, generating the transmission channel establishment negative message.
10. The mobile terminal-based big data analysis system of claim 9, wherein the identity identifier reception confirmation message is sent by the big data analysis center in response to receiving the identity identifier of the mobile terminal.
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| CN111914003B (en) * | 2020-08-14 | 2021-09-07 | 东方财富信息股份有限公司 | Big data analysis system based on cloud platform |
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