CN110896343B - Big data analysis method and system based on mobile client with improved success rate - Google Patents
Big data analysis method and system based on mobile client with improved success rate Download PDFInfo
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- CN110896343B CN110896343B CN201811066186.5A CN201811066186A CN110896343B CN 110896343 B CN110896343 B CN 110896343B CN 201811066186 A CN201811066186 A CN 201811066186A CN 110896343 B CN110896343 B CN 110896343B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
- H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
- H04L1/1607—Details of the supervisory signal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
- H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
- H04L1/18—Automatic repetition systems, e.g. Van Duuren systems
- H04L1/1829—Arrangements specially adapted for the receiver end
- H04L1/1848—Time-out mechanisms
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/04—Error control
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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
Abstract
The invention discloses a big data analysis method based on a mobile client with improved success rate, which comprises the following steps: collecting user information by a mobile client; sending a data channel establishment request message to a big data processing center by a mobile client at a first transmission power; if the mobile client does not receive the data channel establishment response message within the first preset time period, the mobile client sends the data channel establishment request message to the big data processing center again at the second transmitting power; if the mobile client receives the data channel establishment response message within a first preset time period, the mobile client sends the identity identifier of the mobile client to the big data processing center; if the mobile client receives the identity identifier receipt confirmation message within the second predetermined time period, the mobile client continues to determine whether a correct data transmission confirmation message is received within a third predetermined time period. The method of the invention significantly reduces the probability of transmission failure.
Description
Technical Field
The invention relates to the technical field of big data analysis, in particular to a big data analysis method and a big data analysis system based on a mobile client with improved success rate.
Background
With the continuous emergence of new information technologies and application modes, such as the appearance and popularization of new technologies and application modes of the internet of things, cloud computing, mobile technologies, intelligent terminals and the like, and the continuous reduction of the cost of the intelligent terminals and sensing equipment, more and more people participate in the process of generating and accumulating data, the data presents unprecedented explosive growth situation, and the complexity degree is increasingly remarkable, and the age of 'big data' comes. Big data has become a hot spot for research and attention in academic and business circles at home and abroad, and the United states directly raises big data from the business level to the national strategic level. The big data is used as another great technical change of the IT boundary, has great influence on the operation idea, the operation mode, the organization business process and the like of modern enterprise management, and although the theory of unity, detail and system is not formed, at present, the public enterprises of various industries at home and abroad are developed and utilized to develop and utilize the big data, and great social value and industrial space are generated. Modern enterprises are greatly anxious and are urgently and effectively utilized in time. Modern enterprises will influence their future development and fate if they cannot respond to the various opportunities and challenges brought by the big data era in a timely manner.
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 client with improved success rate, which can reduce the flow steps and further reduce the probability of transmission failure.
The invention aims to provide a big data analysis system based on a mobile client with improved success rate.
In order to achieve the above object, the present invention provides a big data analysis method based on a mobile client with improved success rate, which comprises the following steps: collecting user information by a mobile client; initializing a transmission power by a mobile client to obtain a first transmission power; sending a data channel establishment request message to a big data processing center by a mobile client at a first transmission power; if the mobile client does not receive the data channel establishment response message within the first preset time period, the mobile client sends the data channel establishment request message to the big data processing center again at the second transmitting power; if the mobile client receives the data channel establishment response message within a first preset time period, the mobile client sends the identity identifier of the mobile client to the big data processing center; if the mobile client receives the identity identifier receiving confirmation message within the second preset time period, the mobile client continuously judges whether a correct data transmission confirmation message is received within a third preset time period; if the mobile client judges that the wrong data transmission confirmation message is received within the third preset time period, the mobile client waits for the re-competition message until the first timer is overtime, wherein if the first timer is overtime, the mobile client sends the data channel establishment request message to the big data processing center again at the first transmission power; and if the mobile client judges that the correct data transmission confirmation message or the wrong data transmission confirmation message is not received within the third preset time period, the mobile client waits for a re-competition message until the first timer is overtime, wherein if the first timer is overtime, the mobile client sends the data channel establishment request message to the big data processing center again at the first transmission power.
In a preferred embodiment, the method for analyzing big data based on a mobile client with an improved success rate further comprises the following steps: and if the mobile client judges that the correct data transmission confirmation message is received within the third preset time period, the mobile client sends the collected user information to the big data processing center.
In a preferred embodiment, the re-contention message is sent by the big data processing center based on the following steps: judging the current wireless network condition; predicting data transmission delay based on the current wireless network condition; and if the data transmission delay is larger than the threshold value, broadcasting a re-competition message.
In a preferred embodiment, the data transfer confirmation message is sent by the big data processing center based on the following steps: receiving a plurality of identity identifiers sent by a plurality of mobile clients; determining a first number of mobile clients that can be carried by a current wireless network; randomly selecting a first number of selected identity identifiers from a plurality of identity identifiers based on the determined first number of mobile clients that can be carried by the current wireless network; broadcasting a first number of selected identity identifiers; wherein if the mobile client determines that there is an own identity identifier among the broadcasted first number of selected identity identifiers, it determines that a correct data transmission confirmation message is received; if the mobile client determines that there is no own identity identifier among the broadcasted first number of selected identity identifiers, it is determined that an erroneous data transmission confirmation message is received.
In a preferred embodiment, the big data analysis method based on the mobile client with the improved success rate comprises the following steps: and if the mobile client receives the re-competition message before the first timer is overtime, the identity identifier of the mobile client is sent to the big data processing center again by the mobile client.
The invention also provides a big data analysis system based on the mobile client with improved success rate, which comprises: a plurality of mobile clients; the big data processing center is in communication connection with each mobile client of the plurality of mobile clients; wherein the mobile client is configured to: collecting user information; initializing transmission power to obtain first transmission power; sending a data channel establishment request message to a big data processing center by first transmitting power; if the data channel establishment response message is not received within the first preset time period, the data channel establishment request message is sent to the big data processing center again at the second transmitting power; if the data channel establishment response message is received within a first preset time period, the identity identifier of the mobile client is sent to the big data processing center; if the identity identifier receiving confirmation message is received within the second preset time period, continuously judging whether a correct data transmission confirmation message is received within a third preset time period; if the wrong data transmission confirmation message is received within the third preset time period, waiting for a re-competition message until the first timer is overtime, wherein if the first timer is overtime, the data channel establishment request message is sent to the big data processing center again by the first transmitting power; and if the correct data transmission confirmation message or the wrong data transmission confirmation message is judged not to be received within the third preset time period, waiting for a re-competition message until the first timer is overtime, wherein if the first timer is overtime, the data channel establishment request message is sent to the big data processing center again at the first transmission power.
In a preferred embodiment, the mobile client is configured to: and if the correct data transmission confirmation message is received within the third preset time period, sending the collected user information to the big data processing center.
In a preferred embodiment, the re-contention message is sent by the big data processing center based on the following steps: judging the current wireless network condition; predicting data transmission delay based on the current wireless network condition; and if the data transmission delay is larger than the threshold value, broadcasting a re-competition message.
In a preferred embodiment, the data transfer confirmation message is sent by the big data processing center based on the following steps: receiving a plurality of identity identifiers sent by a plurality of mobile clients; determining a first number of mobile clients that can be carried by a current wireless network; randomly selecting a first number of selected identity identifiers from a plurality of identity identifiers based on the determined first number of mobile clients that can be carried by the current wireless network; broadcasting a first number of selected identity identifiers; wherein if the mobile client determines that there is an own identity identifier among the broadcasted first number of selected identity identifiers, it determines that a correct data transmission confirmation message is received; if the mobile client determines that there is no own identity identifier among the broadcasted first number of selected identity identifiers, it is determined that an erroneous data transmission confirmation message is received.
In a preferred embodiment, the mobile client is configured to: and if the re-competition message is received before the first timer is timed out, the identity identifier of the mobile client is sent to the big data processing center again.
Compared with the prior art, the big data analysis method based on the mobile client side has the following advantages: big data analysis (in essence, preference prediction based on big data analysis) is a crucial technical means for e-commerce, and whether the preference prediction is accurate or not will largely determine the profitability of the e-commerce. At present, a large part of services of an e-commerce depend on a wireless mobile terminal, and a lot of data information must also be wirelessly transmitted to a data analysis center or a server through the wireless mobile terminal. In order to ensure the success rate of information transmission based on a wireless network, the invention develops a big data analysis method based on a mobile client with improved success rate.
Drawings
Fig. 1 is a flowchart of a big data analysis method based on a mobile client 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 client according to an embodiment of the present invention. The big data analysis method based on the mobile client comprises the following steps:
step 101: collecting user information by a mobile client;
step 102: initializing a transmission power by a mobile client to obtain a first transmission power;
step 103: sending a data channel establishment request message to a big data processing center by a mobile client at a first transmission power;
step 104: if the mobile client does not receive the data channel establishment response message within a first preset time period, the mobile client sends the data channel establishment request message to the big data processing center again at a second transmitting power, wherein the second transmitting power is greater than the first transmitting power;
step 105: if the mobile client receives the data channel establishment response message within a first preset time period, the mobile client sends the identity identifier of the mobile client to the big data processing center;
step 106: if the mobile client receives the identity identifier receiving confirmation message within the second predetermined time period, the mobile client continuously judges whether a correct data transmission confirmation message is received within a third predetermined time period;
step 107: if the mobile client judges that the wrong data transmission confirmation message is received within the third preset time period, the mobile client waits for the re-competition message until the first timer is overtime, wherein if the first timer is overtime, the mobile client sends the data channel establishment request message to the big data processing center again at the first transmission power; and
step 108: and if the mobile client judges that the correct data transmission confirmation message or the wrong data transmission confirmation message is not received within the third preset time period, the mobile client waits for a re-competition message until the first timer is overtime, and if the first timer is overtime, the mobile client sends the data channel establishment request message to the big data processing center again at the first transmission power.
In the above solution, the big data analysis method based on the mobile client with improved success rate further includes the following steps: and if the mobile client judges that the correct data transmission confirmation message is received within the third preset time period, the mobile client sends the collected user information to the big data processing center.
In a preferred embodiment, the re-contention message is sent by the big data processing center based on the following steps: judging the current wireless network condition; predicting data transmission delay based on the current wireless network condition; and if the data transmission delay is larger than the threshold value, broadcasting a re-competition message.
In a preferred embodiment, the data transfer confirmation message is sent by the big data processing center based on the following steps: receiving a plurality of identity identifiers sent by a plurality of mobile clients; determining a first number of mobile clients that can be carried by a current wireless network; randomly selecting a first number of selected identity identifiers from a plurality of identity identifiers based on the determined first number of mobile clients that can be carried by the current wireless network; broadcasting a first number of selected identity identifiers; wherein if the mobile client determines that there is an own identity identifier among the broadcasted first number of selected identity identifiers, it determines that a correct data transmission confirmation message is received; if the mobile client determines that there is no own identity identifier among the broadcasted first number of selected identity identifiers, it is determined that an erroneous data transmission confirmation message is received.
In a preferred embodiment, the big data analysis method based on the mobile client with the improved success rate comprises the following steps: and if the mobile client receives the re-competition message before the first timer is overtime, the identity identifier of the mobile client is sent to the big data processing center again by the mobile client.
The invention also provides a big data analysis system based on the mobile client with improved success rate, which comprises: a plurality of mobile clients and a big data processing center. Wherein the big data processing center is communicatively coupled to each of the plurality of mobile clients.
Wherein the mobile client is configured to: collecting user information; initializing transmission power to obtain first transmission power; sending a data channel establishment request message to a big data processing center by using first transmission power; if the data channel establishment response message is not received within the first preset time period, the data channel establishment request message is sent to the big data processing center again at the second transmitting power; if the data channel establishment response message is received within a first preset time period, the identity identifier of the mobile client is sent to the big data processing center; if the identity identifier receiving confirmation message is received within the second preset time period, continuously judging whether a correct data transmission confirmation message is received within a third preset time period; if the wrong data transmission confirmation message is received within the third preset time period, waiting for a re-competition message until the first timer is overtime, wherein if the first timer is overtime, the data channel establishment request message is sent to the big data processing center again by the first transmitting power; and if the correct data transmission confirmation message or the wrong data transmission confirmation message is judged not to be received within the third preset time period, waiting for a re-competition message until the first timer is overtime, wherein if the first timer is overtime, the data channel establishment request message is sent to the big data processing center again at the first transmission power.
In a preferred embodiment, the mobile client is configured to: and if the correct data transmission confirmation message is received within the third preset time period, sending the collected user information to the big data processing center.
In a preferred embodiment, the re-contention message is sent by the big data processing center based on the following steps: judging the current wireless network condition; predicting data transmission delay based on the current wireless network condition; and broadcasting the re-competition message if the data transmission delay is greater than the threshold value.
In a preferred embodiment, the data transfer confirmation message is sent by the big data processing center based on the following steps: receiving a plurality of identity identifiers sent by a plurality of mobile clients; determining a first number of mobile clients that can be carried by a current wireless network; randomly selecting a first number of selected identity identifiers from a plurality of identity identifiers based on the determined first number of mobile clients that can be carried by the current wireless network; broadcasting a first number of selected identity identifiers; wherein if the mobile client determines that there is an own identity identifier among the broadcasted first number of selected identity identifiers, it determines that a correct data transmission confirmation message is received; if the mobile client determines that there is no own identity identifier among the broadcasted first number of selected identity identifiers, it is determined that an erroneous data transmission confirmation message is received.
In a preferred embodiment, the mobile client is configured to: and if the re-competition message is received before the first timer is overtime, the identity identifier of the mobile client is sent to the big data processing center again.
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 those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and such improvements and modifications should be considered 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 (2)
1. A big data analysis method based on a mobile client with improved success rate is characterized in that: the big data analysis method based on the mobile client with the improved success rate comprises the following steps:
collecting user information by a mobile client;
initializing a transmission power by a mobile client to obtain a first transmission power;
sending a data channel establishment request message to a big data processing center by a mobile client at a first transmission power;
if the mobile client does not receive the data channel establishment response message within the first preset time period, the mobile client sends the data channel establishment request message to the big data processing center again at a second transmitting power;
if the mobile client receives a data channel establishment response message within a first preset time period, the mobile client sends an identity identifier of the mobile client to the big data processing center;
if the mobile client receives the identity identifier receiving confirmation message within the second preset time period, the mobile client continuously judges whether a correct data transmission confirmation message is received within a third preset time period;
if the mobile client judges that an error data transmission confirmation message is received within a third preset time period, the mobile client waits for a re-competition message until a first timer is overtime, wherein if the first timer is overtime, the mobile client sends a data channel establishment request message to a big data processing center again at a first transmission power; and
if the mobile client judges that the correct data transmission confirmation message or the wrong data transmission confirmation message is not received within the third preset time period, the mobile client waits for a re-competition message until the first timer is overtime, wherein if the first timer is overtime, the mobile client sends the data channel establishment request message to the big data processing center again at the first transmission power,
the big data analysis method based on the mobile client with the improved success rate further comprises the following steps: sending, by the mobile client, the collected user information to a big data processing center if the mobile client determines that a correct data transmission confirmation message was received within a third predetermined time period,
wherein the re-contention message is sent by the big data processing center based on the following steps:
judging the current wireless network condition;
predicting data transmission delay based on the current wireless network condition; and
if the data transmission delay is larger than the threshold value, broadcasting a re-competition message,
the data transmission confirmation message is sent by the big data processing center based on the following steps:
receiving a plurality of identity identifiers sent by a plurality of mobile clients;
determining a first number of mobile clients that can be carried by a current wireless network;
randomly selecting a first number of selected identity identifiers from a plurality of identity identifiers based on the determined first number of mobile clients that can be carried by the current wireless network;
broadcasting the first number of selected identity identifiers;
wherein if the mobile client determines that there is an own identity identifier among the first number of selected identity identifiers that are broadcast, it determines that a correct data transmission confirmation message is received;
if the mobile client determines that there is no own identity identifier among the first number of selected identity identifiers broadcasted, determines that an erroneous data transmission confirmation message is received,
the big data analysis method based on the mobile client with the improved success rate comprises the following steps: and if the mobile client receives the re-competition message before the first timer is overtime, the mobile client sends the identity identifier of the mobile client to the big data processing center again.
2. A big data analysis system based on mobile client with improved success rate is characterized in that: the big data analysis system with the improved success rate based on the mobile client comprises:
a plurality of mobile clients; and
a big data processing center communicatively coupled to each of the plurality of mobile clients;
wherein the mobile client is configured to:
collecting user information;
initializing transmission power to obtain first transmission power;
sending a data channel establishment request message to a big data processing center by using first transmission power;
if the data channel establishment response message is not received within a first preset time period, the data channel establishment request message is sent to the big data processing center again at a second transmitting power;
if a data channel establishment response message is received within a first preset time period, sending the identity identifier of the mobile client to the big data processing center;
if the identity identifier receiving confirmation message is received within the second preset time period, continuously judging whether a correct data transmission confirmation message is received within a third preset time period;
if the mobile client side judges that the wrong data transmission confirmation message is received within the third preset time period, the mobile client side waits for a re-competition message until a first timer is overtime, wherein if the first timer is overtime, the mobile client side sends a data channel establishment request message to the big data processing center again at the first transmitting power; and
if the correct data transmission confirmation message or the wrong data transmission confirmation message is judged not to be received within the third preset time period, waiting for a re-competition message until the first timer is overtime, wherein if the first timer is overtime, the data channel establishment request message is sent to the big data processing center again at the first transmission power,
the mobile client is configured to: if it is determined that the correct data transmission confirmation message is received within the third predetermined period of time, the collected user information is transmitted to the big data processing center,
wherein the re-contention message is sent by the big data processing center based on the following steps:
judging the current wireless network condition;
predicting data transmission delay based on the current wireless network condition; and
if the data transmission delay is larger than the threshold value, broadcasting a re-competition message,
the data transmission confirmation message is sent by the big data processing center based on the following steps:
receiving a plurality of identity identifiers sent by a plurality of mobile clients;
determining a first number of mobile clients that can be carried by a current wireless network;
randomly selecting a first number of selected identity identifiers from a plurality of identity identifiers based on the determined first number of mobile clients that can be carried by the current wireless network;
broadcasting the first number of selected identity identifiers;
wherein if the mobile client determines that there is an own identity identifier among the first number of selected identity identifiers that are broadcast, it determines that a correct data transmission confirmation message is received;
if the mobile client determines that there is no own identity identifier among the first number of selected identity identifiers broadcasted, determines that an erroneous data transmission confirmation message is received,
the mobile client is configured to: and if the re-competition message is received before the first timer is overtime, the identity identifier of the mobile client is sent to the big data processing center again.
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Citations (3)
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| US6285665B1 (en) * | 1997-10-14 | 2001-09-04 | Lucent Technologies Inc. | Method for establishment of the power level for uplink data transmission in a multiple access system for communications networks |
| CN1394393A (en) * | 2000-08-21 | 2003-01-29 | 皇家菲利浦电子有限公司 | Method for communication of information and apparatus employing method |
| CN101018106A (en) * | 2006-11-30 | 2007-08-15 | 北京佳讯飞鸿电气有限责任公司 | A method for transferring securely a large number of data between the maintenance terminal and background device |
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| US9338717B2 (en) * | 2012-07-19 | 2016-05-10 | Qualcomm Incorporated | Methods and apparatus for increasing emergency call success rate by reducing retries in the same domain |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6285665B1 (en) * | 1997-10-14 | 2001-09-04 | Lucent Technologies Inc. | Method for establishment of the power level for uplink data transmission in a multiple access system for communications networks |
| CN1394393A (en) * | 2000-08-21 | 2003-01-29 | 皇家菲利浦电子有限公司 | Method for communication of information and apparatus employing method |
| CN101018106A (en) * | 2006-11-30 | 2007-08-15 | 北京佳讯飞鸿电气有限责任公司 | A method for transferring securely a large number of data between the maintenance terminal and background device |
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