CN109831768B - LoRa multi-node big data transmission processing method, device and system - Google Patents
LoRa multi-node big data transmission processing method, device and system Download PDFInfo
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Abstract
The invention discloses a method, a device and a system for LoRa multi-node big data transmission processing, wherein the method comprises the following steps: the data receiving terminal sends a wake-up code to the data sending terminal, and the data sending terminal receives the wake-up code and is awakened to enter a receiving state; the data sending terminal receives data, divides the data into a plurality of ordered groups, and sends big data to the data receiving terminal in groups; the data receiving terminal receives data through eight parallel data receiving channels and judges the correctness of the data, if the data is wrong, a retransmission instruction is sent to the data sending terminal through the high-performance transceiving channel, the data sending terminal retransmits the data until the data is correct, and otherwise, the transmission of the big data is finished; and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
Description
Technical Field
The disclosure belongs to the technical field of wireless communication of wide-area internet of things, and relates to a method, a device and a system for transmission and processing of LoRa multi-node big data.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The internet of things is an important component of a new-generation information technology, the information technology is developed to the present day, the communication requirements of people and people are turned to the interconnection and intercommunication among people and objects from the beginning, and finally the interconnection of all things is realized. Sensor technology, embedded system technology and communication technology are three important components of the internet of things, and the communication technology is a material basis for information transmission and logistics among units of the internet of things. The communication technology comprises wired transmission and wireless transmission, and the wireless transmission comprises a LoRa communication mode.
At present, the LoRa communication mode is the communication of a low-power wide area network, and the LoRa generally has a small data transmission amount and low large data transmission efficiency. The traditional common mode is wired communication, and the communication data volume is large. However, the inventor finds that the technical scheme has the following problems that the conflict between a common wired communication mode and a LoRaWAN protocol instead of the wired communication mode cannot be avoided, the data loss can be reduced only by continuous retransmission, the hardware channel resources cannot be fully utilized, the real-time performance and the large data transmission cannot be met, and the communication channels of other small-scale private protocol communication modes are limited.
Disclosure of Invention
Aiming at the defects of complexity and long time consumption of prediction in the prior art, one or more embodiments of the disclosure provide a method, a device and a system for processing LoRa multi-node big data transmission, which improve the transmission efficiency of LoRa big data through a new processing mode and realize big data transmission through a wireless LORa technology.
According to an aspect of one or more embodiments of the present disclosure, there is provided a method for processing large data transmission of LoRa multi-node.
A LoRa multi-node big data transmission processing method comprises the following steps:
the data receiving terminal sends a wake-up code to the data sending terminal, and the data sending terminal receives the wake-up code and is awakened to enter a receiving state;
the data sending terminal receives data, divides the data into a plurality of ordered groups, and sends big data to the data receiving terminal in groups;
the data receiving terminal receives data through eight parallel data receiving channels and judges the correctness of the data, if the data is wrong, a retransmission instruction is sent to the data sending terminal through the high-performance transceiving channel, the data sending terminal retransmits the data until the data is correct, and otherwise, the transmission of the big data is finished;
and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
Further, in the method, the data transmitting terminal modifies the channel to be consistent with the channel of the data receiving terminal while receiving the data.
Further, in the method, each group of big data sent by the data sending terminal to the data receiving terminal is divided into eight groups of data, and the data are uploaded through eight node software respectively and sequentially at the same time.
According to one aspect of one or more embodiments of the present disclosure, there is provided a LoRa multi-node big data transmission processing system.
A LoRa multinode big data transmission processing system, the system includes data sending terminal and data receiving terminal, receive data channel and a high-performance receive and dispatch the channel connection through eight between said data sending terminal and the said data receiving terminal;
the data receiving terminal sends a wake-up code to the data sending terminal, and the data sending terminal receives the wake-up code and wakes up to enter a receiving state;
the data sending terminal receives data, divides the data into a plurality of ordered groups, and sends big data to the data receiving terminal in groups;
the data receiving terminal receives data through eight parallel data receiving channels and judges the correctness of the data, if the data is wrong, a retransmission instruction is sent to the data sending terminal through the high-performance receiving and sending channel, and the data sending terminal retransmits the data until the data is correct, otherwise, the transmission of the big data is finished;
and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
According to an aspect of one or more embodiments of the present disclosure, there is provided a method for processing large data transmission of LoRa multi-node.
A LoRa multi-node big data transmission processing method is realized in a data receiving terminal and comprises the following steps:
the data receiving terminal sends a wake-up code to the data sending terminal, so that the data receiving terminal is awakened to enter a receiving state to receive data packets and send big data to the data receiving terminal;
the data receiving terminal receives data through eight parallel data receiving channels and judges the correctness of the data, if the data is wrong, a retransmission instruction is sent to the data sending terminal through the high-performance transceiving channel until the data is correct, and if the data is not wrong, the transmission of the big data is finished;
and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
According to an aspect of one or more embodiments of the present disclosure, there is provided a computer-readable storage medium.
A computer readable storage medium, wherein a plurality of instructions are stored, said instructions are suitable for being loaded by a processor of a terminal device and executing said method for processing large data transmission of LoRa multi-node.
According to an aspect of one or more embodiments of the present disclosure, there is provided a terminal device.
A terminal device comprising a processor and a computer-readable storage medium, the processor being configured to implement instructions; the computer readable storage medium is used for storing a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the LoRa multi-node big data transmission processing method.
According to one aspect of one or more embodiments of the present disclosure, there is provided a LoRa multi-node big data transmission processing apparatus.
A LoRa multi-node big data transmission processing device is based on the LoRa multi-node big data transmission processing method and comprises the following steps:
the data awakening module is used for sending an awakening code to the data sending terminal, so that the data sending terminal is awakened to enter a receiving state to receive the data packet and send the big data to the data receiving terminal;
the data receiving module is used for receiving data through eight parallel receiving data channels and judging the correctness of the data, if the data is wrong, a retransmission instruction is sent to the data sending terminal through the high-performance receiving and sending channel until the data is correct, and if the data is not wrong, the transmission of the big data is finished; and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
According to an aspect of one or more embodiments of the present disclosure, there is provided a method for processing large data transmission of LoRa multi-node.
A LoRa multi-node big data transmission processing method is realized in a data sending terminal and comprises the following steps:
the data sending terminal receives the wake-up code and is awakened to enter a receiving state;
the data sending terminal receives data, divides the data into a plurality of ordered groups, and sends big data to the data receiving terminal in groups;
when the data receiving terminal judges that the received data is wrong, a retransmission instruction is received through the high-performance transceiving channel, and the data sending terminal retransmits the data until the data is correct, otherwise, the big data transmission is finished;
and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
Further, in the method, the data transmitting terminal modifies the channel to be consistent with the channel of the data receiving terminal while receiving the data.
Further, in the method, each group of big data sent by the data sending terminal to the data receiving terminal is divided into eight groups of data, and the data are uploaded through eight node software respectively and sequentially at the same time.
According to an aspect of one or more embodiments of the present disclosure, there is provided a computer-readable storage medium.
A computer readable storage medium, wherein a plurality of instructions are stored, said instructions are suitable for being loaded by a processor of a terminal device and executing said method for processing large data transmission of LoRa multi-node.
According to an aspect of one or more embodiments of the present disclosure, there is provided a terminal device.
A terminal device comprising a processor and a computer-readable storage medium, the processor being configured to implement instructions; the computer readable storage medium is used for storing a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the LoRa multi-node big data transmission processing method.
According to one aspect of one or more embodiments of the present disclosure, there is provided a LoRa multi-node big data transmission processing apparatus.
A LoRa multi-node big data transmission processing device is based on the LoRa multi-node big data transmission processing method and comprises the following steps:
the data awakening module is used for receiving the awakening code and awakening the awakening code into a receiving state;
the data sending module is used for receiving the data by the data sending terminal, dividing the data into a plurality of ordered groups and sending the big data to the data receiving terminal in groups; when the data receiving terminal judges that the received data is wrong, a retransmission instruction is received through the high-performance transceiving channel, and the data sending terminal retransmits the data until the data is correct, otherwise, the big data transmission is finished; and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
The beneficial effect of this disclosure:
according to the LoRa multi-node big data transmission processing method, device and system, through a new Lora data processing method, the problem that narrow-band technologies such as the current LoRa do not have big data transmission can be solved through software, the problem that the transmission rate of multi-node equipment is low is effectively solved, wireless data transmission collision is avoided, the transmission efficiency is effectively improved, and the problem that the current equipment is low in efficiency due to limited communication and new wireless communication is solved to a certain degree.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application.
FIG. 1 is a flow diagram of a LoRa multi-node big data transfer processing method in accordance with one or more embodiments;
FIG. 2 is a schematic diagram of data multi-group multi-node communication in accordance with one or more embodiments;
FIG. 3 is a schematic diagram of eight receive data channel data communications in accordance with one or more embodiments.
The specific implementation mode is as follows:
technical solutions in one or more embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings in one or more embodiments of the present disclosure, and it is apparent that the described embodiments are only a part of the embodiments of the present disclosure, and not all embodiments. All other embodiments, which can be derived by one of ordinary skill in the art based on one or more embodiments of the disclosure without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
It is noted that the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems according to various embodiments of the present disclosure. It should be noted that each block in the flowchart or block diagrams may represent a module, a segment, or a portion of code, which may comprise one or more executable instructions for implementing the logical function specified in the respective embodiment. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Without conflict, the embodiments and features of the embodiments in the present disclosure may be combined with each other, and the present disclosure will be further described with reference to the drawings and the embodiments.
As shown in fig. 1, according to an aspect of one or more embodiments of the present disclosure, there is provided a LoRa multi-node big data transmission processing method. The master software is executed in the data receiving terminal, and the slave software is executed in the data transmitting terminal.
A LoRa multi-node big data transmission processing method comprises the following steps:
step (1): the data receiving terminal sends the wake-up code to the data sending terminal through the main control software, the data sending terminal receives the wake-up code, and the slave software is awakened to enter a receiving state; broadcasting software master control algorithm information;
step (2): the slave software of the data sending terminal receives data, prepares for big data sending (simultaneously, the channel is changed from the software to be consistent with the channel of the master software, so as to avoid channel interference), divides the data into a plurality of ordered groups, and sends the big data to the data receiving terminal in groups;
and (3): the data receiving terminal main control software receives data through eight parallel receiving data channels and judges the correctness of the data, if the data is wrong, a retransmission instruction is sent to the data sending terminal through the high-performance receiving and sending channel to inform the data sending terminal of retransmitting the data by the slave software, the data sending terminal retransmits the data until the data is correct, and if the main control software judges that the data of the node software is successful, the big data transmission is finished;
and (4): and (4) carrying out next frame data transmission between the data sending terminal and the data receiving terminal, and repeating the step (3) until the next group of data transmission is changed after the group of big data transmission is completely finished.
The embodiment of the invention solves the problem of low transmission rate of multi-node equipment through a new Lora data processing method, avoids wireless data transmission collision, effectively improves transmission efficiency, and solves the problem of low efficiency of the current equipment in wireless communication with new equipment by limited communication to a certain extent.
In the step (2) of this embodiment, the data transmitting terminal modifies the channel to be consistent with the channel of the data receiving terminal while receiving the data.
In the step (2) of this embodiment, each group of big data sent by the data sending terminal to the data receiving terminal is divided into eight groups of data, and the data is uploaded through eight node software respectively while the data is uploaded sequentially.
It should be noted that, in the method, through characteristics such as 8 data receiving channels, 1 high-performance transceiving channel, rate adaptation, etc., data is broadcast by using LoRa through software programming, and after receiving the data, the nodes (the data transmitting terminals) are processed by a software algorithm and divided into a plurality of ordered groups of 8 node software, as shown in fig. 2.
The data sending terminal controls the 8 node software in the same group to upload data simultaneously and sequentially by a software method, and makes full use of 8 channel resources of hardware to improve transmission efficiency, as shown in fig. 3.
It should be noted that, in step (3) of this embodiment, the data receiving terminal controls 1 high-performance channel through software, and in the abnormal condition of node software data transmission, interacts with the node software data to correct the data to ensure data accuracy, and informs the next group or one or more sub-node software to start communication after the data transmission is finished. In this embodiment, the node is a data sending terminal or a data receiving terminal, and the node software is software running in the node.
According to one aspect of one or more embodiments of the present disclosure, there is provided a LoRa multi-node big data transmission processing system.
A LoRa multinode big data transmission processing system, the system includes data sending terminal and data receiving terminal, receive data channel and a high-performance receive and dispatch the channel connection through eight between said data sending terminal and the said data receiving terminal;
the data receiving terminal sends a wake-up code to the data sending terminal, and the data sending terminal receives the wake-up code and wakes up to enter a receiving state;
the data sending terminal receives data, divides the data into a plurality of ordered groups, and sends big data to the data receiving terminal in groups;
the data receiving terminal receives data through eight parallel data receiving channels and judges the correctness of the data, if the data is wrong, a retransmission instruction is sent to the data sending terminal through the high-performance receiving and sending channel, and the data sending terminal retransmits the data until the data is correct, otherwise, the transmission of the big data is finished;
and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
According to an aspect of one or more embodiments of the present disclosure, there is provided a method for processing large data transmission of LoRa multi-node.
A LoRa multinode big data transmission processing method, namely the master control software method, the method is realized in the data receiving terminal, including:
the data receiving terminal sends a wake-up code to the data sending terminal, so that the data receiving terminal is awakened to enter a receiving state to receive data packets and send big data to the data receiving terminal;
the data receiving terminal receives data through eight parallel data receiving channels and judges the correctness of the data, if the data is wrong, a retransmission instruction is sent to the data sending terminal through the high-performance transceiving channel until the data is correct, and if the data is not wrong, the transmission of the big data is finished;
and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
According to an aspect of one or more embodiments of the present disclosure, there is provided a computer-readable storage medium.
A computer readable storage medium, wherein a plurality of instructions are stored, said instructions are suitable for being loaded by a processor of a terminal device and executing said method for processing large data transmission of LoRa multi-node.
According to an aspect of one or more embodiments of the present disclosure, there is provided a terminal device.
A terminal device comprising a processor and a computer-readable storage medium, the processor being configured to implement instructions; the computer readable storage medium is used for storing a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the LoRa multi-node big data transmission processing method.
According to one aspect of one or more embodiments of the present disclosure, there is provided a LoRa multi-node big data transmission processing apparatus.
A LoRa multi-node big data transmission processing device is based on the LoRa multi-node big data transmission processing method and comprises the following steps:
the data awakening module is used for sending an awakening code to the data sending terminal, so that the data sending terminal is awakened to enter a receiving state to receive the data packet and send the big data to the data receiving terminal;
the data receiving module is used for receiving data through eight parallel receiving data channels and judging the correctness of the data, if the data is wrong, a retransmission instruction is sent to the data sending terminal through the high-performance receiving and sending channel until the data is correct, and if the data is not wrong, the transmission of the big data is finished; and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
According to an aspect of one or more embodiments of the present disclosure, there is provided a method for processing large data transmission of LoRa multi-node.
A LoRa multinode big data transmission processing method, namely the subordinate software method, the method is realized in the data sending terminal, including:
the data sending terminal receives the wake-up code and is awakened to enter a receiving state;
the data sending terminal receives data, divides the data into a plurality of ordered groups, and sends big data to the data receiving terminal in groups;
when the data receiving terminal judges that the received data is wrong, a retransmission instruction is received through the high-performance transceiving channel, and the data sending terminal retransmits the data until the data is correct, otherwise, the big data transmission is finished;
and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
Further, in the method, the data transmitting terminal modifies the channel to be consistent with the channel of the data receiving terminal while receiving the data.
Further, in the method, each group of big data sent by the data sending terminal to the data receiving terminal is divided into eight groups of data, and the data are uploaded through eight node software respectively and sequentially at the same time.
According to an aspect of one or more embodiments of the present disclosure, there is provided a computer-readable storage medium.
A computer readable storage medium, wherein a plurality of instructions are stored, said instructions are suitable for being loaded by a processor of a terminal device and executing said method for processing large data transmission of LoRa multi-node.
According to an aspect of one or more embodiments of the present disclosure, there is provided a terminal device.
A terminal device comprising a processor and a computer-readable storage medium, the processor being configured to implement instructions; the computer readable storage medium is used for storing a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the LoRa multi-node big data transmission processing method.
These computer-executable instructions, when executed in a device, cause the device to perform methods or processes described in accordance with various embodiments of the present disclosure.
In the present embodiments, a computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for performing various aspects of the present disclosure. The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembly instructions, Instruction Set Architecture (ISA) instructions, machine related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry can execute computer-readable program instructions to implement aspects of the present disclosure by utilizing state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
According to one aspect of one or more embodiments of the present disclosure, there is provided a LoRa multi-node big data transmission processing apparatus.
A LoRa multi-node big data transmission processing device is based on the LoRa multi-node big data transmission processing method and comprises the following steps:
the data awakening module is used for receiving the awakening code and awakening the awakening code into a receiving state;
the data sending module is used for receiving the data by the data sending terminal, dividing the data into a plurality of ordered groups and sending the big data to the data receiving terminal in groups; when the data receiving terminal judges that the received data is wrong, a retransmission instruction is received through the high-performance transceiving channel, and the data sending terminal retransmits the data until the data is correct, otherwise, the big data transmission is finished; and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
It should be noted that although several modules or sub-modules of the device are mentioned in the above detailed description, such division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the modules described above may be embodied in one module in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module described above may be further divided into embodiments by a plurality of modules.
It should be noted that, in one or more embodiments of the present disclosure, the wireless LoRa transmission is replaced by the wired device in the prior art in an open environment, the data volume is large during information interaction, and the normal LoRa communication mode does not transmit more than 256 bytes; in the scheme, the master control software initiates synchronous information, the node slave software judges a data transmission time slot according to synchronous data, and if an error occurs in the data interaction process, the algorithm of the scheme can self-check and timely recover data transmission, thereby ensuring the reliable transmission of 2K or larger data; in addition, the algorithm reuses the channel of the hardware equipment, and greatly improves the data transmission efficiency.
The beneficial effect of this disclosure:
according to the LoRa multi-node big data transmission processing method, device and system, through a new Lora data processing method, the problem that narrow-band technologies such as the current LoRa do not have big data transmission can be solved through software, the problem that the transmission rate of multi-node equipment is low is effectively solved, wireless data transmission collision is avoided, the transmission efficiency is effectively improved, and the problem that the current equipment is low in efficiency due to limited communication and new wireless communication is solved to a certain degree.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A LoRa multi-node big data transmission processing method is characterized by comprising the following steps:
the data receiving terminal sends the wake-up code to the data sending terminal through the main control software, the data sending terminal receives the wake-up code, and the slave software is awakened to enter a receiving state;
the slave software of the data sending terminal receives data, prepares for big data sending, divides the data into a plurality of ordered groups, and sends the big data to the data receiving terminal in groups;
each group of big data sent to the data receiving terminal by the data sending terminal is divided into eight groups of data, and the data are uploaded through eight node software respectively; the data receiving terminal receives data through eight parallel data receiving channels;
the data receiving terminal judges the correctness of the data, if the data is wrong, a retransmission instruction is sent to the data sending terminal through the high-performance transceiving channel, the data sending terminal retransmits the data until the data is correct, and otherwise, the transmission of the big data is finished; specifically, the data receiving terminal controls the high-performance channel through software to perform data exchange with the node software to correct data under the condition of abnormal data transmission of the node software, so that data accuracy is ensured, and informs a next group or one or more sub-node software to start communication after data transmission is finished;
and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
2. The method as claimed in claim 1, wherein the data transmitting terminal modifies the channel to be consistent with the channel of the data receiving terminal while receiving data.
3. An LoRa multi-node big data transmission processing system, based on the LoRa multi-node big data transmission processing method as claimed in any of claims 1-2, comprising a data sending terminal and a data receiving terminal, wherein the data sending terminal and the data receiving terminal are connected through eight receiving data channels and one high-performance transceiving channel;
the data receiving terminal sends a wake-up code to the data sending terminal through the main control software, the data sending terminal receives the wake-up code, and the slave software is awakened to enter a receiving state;
the slave software of the data sending terminal receives data, prepares for big data sending, divides the data into a plurality of ordered groups, and sends the big data to the data receiving terminal in groups;
each group of big data sent to the data receiving terminal by the data sending terminal is divided into eight groups of data, and the data are uploaded through eight node software respectively;
the data receiving terminal receives data through eight parallel data receiving channels;
the data receiving terminal judges the correctness of the data, if the data is wrong, a retransmission instruction is sent to the data sending terminal through a high-performance transceiving channel, the data sending terminal retransmits the data until the data is correct, otherwise, the transmission of the big data is finished; specifically, the data receiving terminal controls the high-performance channel through software to perform data exchange with the node software to correct data under the condition of abnormal data transmission of the node software, so that data accuracy is ensured, and informs a next group or one or more sub-node software to start communication after data transmission is finished;
and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
4. A LoRa multi-node big data transmission processing method is realized in a data receiving terminal and comprises the following steps:
the data receiving terminal sends a wake-up code to the data sending terminal through the master control software, so that the data sending terminal receives the wake-up code, the slave software is awakened to enter a receiving state, the slave software of the data sending terminal receives data, prepares for sending big data, divides the data into a plurality of groups in order, sends the big data to the data receiving terminal in groups, divides each group of big data sent to the data receiving terminal by the data sending terminal into eight groups of data, and uploads the data through eight node software respectively;
the data receiving terminal receives data through eight parallel data receiving channels;
the data receiving terminal judges the data correctness, if the data is wrong, a retransmission instruction is sent to the data sending terminal through the high-performance transceiving channel until the data is correct, otherwise, the big data transmission is finished; specifically, the data receiving terminal controls the high-performance channel through software to perform data exchange with the node software to correct data under the condition of abnormal data transmission of the node software, so that data accuracy is ensured, and informs a next group or one or more sub-node software to start communication after data transmission is finished;
and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
5. An apparatus for processing large data transmission of LoRa multi-node based on the method of claim 4, comprising:
the data awakening module is used for sending an awakening code to the data sending terminal, enabling the data sending terminal to receive the awakening code, awakening the slave software to enter a receiving state, enabling the slave software of the data sending terminal to receive data, preparing for big data sending, dividing the data into a plurality of ordered groups, sending the big data to the data receiving terminal in groups, dividing each group of big data sent to the data receiving terminal by the data sending terminal into eight groups of data, and uploading the data through eight node software respectively;
the data receiving module is used for receiving data through eight parallel receiving data channels and judging the correctness of the data, if the data is wrong, a retransmission instruction is sent to the data sending terminal through the high-performance receiving and sending channel until the data is correct, and if the data is not wrong, the transmission of the big data is finished; specifically, the data receiving terminal controls the high-performance channel through software to perform data exchange with the node software to correct data under the condition of abnormal data transmission of the node software, so that data accuracy is ensured, and informs a next group or one or more sub-node software to start communication after data transmission is finished; and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
6. A LoRa multi-node big data transmission processing method is realized in a data sending terminal and comprises the following steps:
the data sending terminal receives the wake-up code and is awakened to enter a receiving state;
the slave software of the data sending terminal receives data, prepares for big data sending, divides the data into a plurality of ordered groups, and sends the big data to the data receiving terminal in groups;
when the data receiving terminal judges that the received data is wrong, a retransmission instruction is received through the high-performance transceiving channel, and the data sending terminal retransmits the data until the data is correct, otherwise, the big data transmission is finished; specifically, the data receiving terminal controls the high-performance channel through software to perform data exchange with the node software to correct data under the condition of abnormal data transmission of the node software, so that data accuracy is ensured, and informs a next group or one or more sub-node software to start communication after data transmission is finished;
and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
7. The method as claimed in claim 6, wherein the data transmitting terminal modifies the channel to be consistent with the channel of the data receiving terminal while receiving data.
8. An LoRa multi-node big data transmission processing device based on the LoRa multi-node big data transmission processing method as claimed in any of claims 6 to 7, comprising:
the data awakening module is used for receiving the awakening code and awakening the awakening code into a receiving state;
the data sending module receives data by slave software of the data sending terminal, prepares for big data sending, divides the data into a plurality of ordered groups, and sends the big data to the data receiving terminal in groups; when the data receiving terminal judges that the received data is wrong, a retransmission instruction is received through the high-performance transceiving channel, and the data sending terminal retransmits the data until the data is correct, otherwise, the big data transmission is finished; specifically, the data receiving terminal controls the high-performance channel through software to perform data exchange with the node software to correct data under the condition of abnormal data transmission of the node software, so that data accuracy is ensured, and informs a next group or one or more sub-node software to start communication after data transmission is finished; and the data sending terminal and the data receiving terminal perform next frame data transmission until the group of big data transmission is completely finished, and then the next group of data transmission is performed.
9. A computer-readable storage medium having stored therein a plurality of instructions, wherein the instructions are adapted to be loaded by a processor of a terminal device and to perform a LoRa multi-node big data transmission processing method according to any one of claims 6 to 7 or claim 4.
10. A terminal device comprising a processor and a computer-readable storage medium, the processor being configured to implement instructions; a computer-readable storage medium storing a plurality of instructions adapted to be loaded by a processor and to perform a method of processing LoRa multi-node big data transfer according to any of claims 6-7 or 4.
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