WO2022178972A1

WO2022178972A1 - Internet-of-things data transmission method and transmission system

Info

Publication number: WO2022178972A1
Application number: PCT/CN2021/090329
Authority: WO
Inventors: 宁磊; 郑桐毅; 洪启俊; 叶青松
Original assignee: 深圳技术大学
Priority date: 2021-02-25
Filing date: 2021-04-27
Publication date: 2022-09-01
Also published as: CN113037642B; CN113037642A

Abstract

The present invention relates to the technical field of Internet-of-Things data transmission. Disclosed are an Internet-of-Things data transmission method and transmission system. The Internet-of-Things data transmission method comprises: receiving first data on the basis of a first time interval, and executing similarity determination on the first data, wherein the first data is a group of data with the same feature; if the similarity of the first data is greater than or equal to a first threshold value, receiving second data, wherein the second data is used for representing the current network state; and comparing the second data with a second threshold value range, and if the second data falls within the second threshold value range, sending the first data. The present invention at least has the following beneficial effects: the reliability of transmission of Internet-of-Things packet data in a UDP mode is improved; and network traffic consumed is further saved on by means of adding data similarity determination and network state determination.

Description

Internet of things data transmission method and transmission system

technical field

The invention relates to the technical field of Internet of Things data transmission, in particular to a data transmission method and transmission system of the Internet of Things.

Background technique

In the context of today's Internet of Everything, the data transmission of the Internet of Things is a key part of the realization of the Internet of Everything. Among them, not only the stability, reliability and security of data transmission should be guaranteed, but also the delay and load balancing of network bandwidth should be considered. Ensure the stability of the entire IoT network.

IoT devices currently use the CoAP protocol for communication. The CoAP protocol uses a message segment similar to the HTTP protocol for confirmation and determines whether to retransmit according to the content of the message. However, the confirmation mechanism still uses the traditional waiting confirmation mechanism. The device is in the waiting process. In the non-working state, the transmission efficiency of the network is reduced virtually, and the load of the network is increased. In the case of poor network status, a large amount of data will be repeatedly sent and a large amount of network traffic will be consumed.

SUMMARY OF THE INVENTION

The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes an IoT data transmission method, which can improve the reliability of IoT small packet data transmission in UDP mode and reduce the consumption of network traffic.

The present invention also provides an Internet of Things data transmission system with the above-mentioned method for data transmission of the Internet of Things.

The IoT data transmission method according to the embodiment of the first aspect of the present invention includes the following steps: receiving first data based on a first time interval, and performing similarity judgment on the first data, the first data having the same characteristics a set of data; if the similarity of the first data is greater than or equal to the first threshold, receive second data, the second data is used to represent the current network state; compare the second data with the second threshold range , and if the second data falls within the second threshold range, the first data is sent.

According to some embodiments of the present invention, the receiving the first data based on the first time interval, and performing similarity judgment on the first data includes: receiving the data A1, waiting for the first time interval, and then receiving the data A2; The absolute value of the difference between the data A2 and the data A1 is compared with the first threshold; if the absolute value of the difference is less than the first threshold, the data A2 is discarded.

According to some embodiments of the present invention, the receiving second data if the similarity of the first data is greater than a first threshold includes: if the absolute value of the difference is greater than or equal to the first threshold, saving the data and receiving the second data, where the second data is used to represent the strength of the network signal.

According to some embodiments of the present invention, if the second data falls within the second threshold range, sending the first data includes: binding a unique identifier based on the first data, the unique identifier is a strictly increasing sequence; based on the unique identifier, the sending state of the corresponding first data in the data packet sending state table is updated; and the first data is sent.

According to some embodiments of the present invention, the updating the sending state of the corresponding first data in the data packet sending state table based on the unique identifier includes: setting the length of the data packet sending state table to N, setting a mapping The rule is X=ID mod N, ID is the unique identifier, mod is the remainder operation, and x is the position index of the data corresponding to the unique identifier in the data packet sending status table; based on the unique identifier, calculate the corresponding The position index of the first data in the data packet sending state table; based on the position index, update the sending state of the data packet corresponding to the first data in the data packet sending state table.

According to some embodiments of the present invention, the first data is mapped to the data packet sending state table through a hash function.

According to some embodiments of the present invention, further comprising: receiving the second data, comparing the second data with the second threshold range, and if the second data falls within the second threshold range, Then, by querying the data packet sending status table, send data that satisfies the first rule, the first rule is that the sent data has not received confirmation information and/or the number of times of data sending is less than or equal to the preset value; based on the data sending status update The data packet sending status table.

According to some embodiments of the present invention, the method further includes: a server receiving the first data, and determining a receiving state of the first data according to the unique identifier bound to the first data, where the receiving state includes initial reception and repeated reception ; If the receiving state is the initial reception, then determine that the first data meets the data receiving standard and send confirmation information to the device end; And, update the data packet receiving state table, the data packet receiving state table and the data packet sending state The table is generated by the same rule; if the receiving state is repeated receiving, the first data is discarded.

According to some embodiments of the present invention, the method further includes: the device receiving the confirmation information; if the confirmation information indicates that the data has been successfully received, updating the data packet transmission status table corresponding to the data transmission status to be confirm.

The Internet of Things data transmission system according to the embodiment of the second aspect of the present invention, using the Internet of Things data transmission method described in any one of the above, includes: a sensing device for collecting data, and the sensing device includes a smart sensor, two A dimensional code and a radio frequency identification card; a communication module for transmitting the data by wire or wireless; a server for analyzing, detecting and controlling the data.

The IoT data transmission method according to the embodiment of the present invention has at least the following beneficial effects: improving the reliability of IoT small packet data transmission in the UDP mode, and further saving the consumed network traffic by adding data similarity judgment and network state judgment .

Additional aspects and advantages of the present invention will be set forth, in part, from the following description, and in part will be apparent from the following description, or may be learned by practice of the invention.

Description of drawings

The above and/or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of embodiments taken in conjunction with the accompanying drawings, wherein:

1 is a schematic flowchart of a method according to an embodiment of the present invention;

FIG. 2 is a schematic flowchart of a data similarity judgment process in a method according to an embodiment of the present invention;

3 is a schematic flowchart of sending first data in a method according to an embodiment of the present invention;

4 is a schematic flowchart of updating a data packet sending state table according to an embodiment of the present invention;

5 is a schematic flowchart of collecting data and sending data according to an embodiment of the present invention;

6 is a schematic flowchart of a reception confirmation message according to an embodiment of the present invention;

7 is a schematic flowchart of retransmitting data according to an embodiment of the present invention;

8 is a schematic flowchart of a server receiving data according to an embodiment of the present invention;

FIG. 9 is a schematic block diagram of modules of a system according to an embodiment of the present invention.

Detailed ways

The following describes in detail the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, only used to explain the present invention, and should not be construed as a limitation of the present invention.

In the description of the present invention, the meaning of several is one or more, the meaning of multiple is two or more, greater than, less than, exceeding, etc. are understood as not including this number, above, below, within, etc. are understood as including this number . If it is described that the first and the second are only for the purpose of distinguishing technical features, it cannot be understood as indicating or implying relative importance, or indicating the number of the indicated technical features or the order of the indicated technical features. relation.

Terminology Explanation:

CoAP: CoAP is synonymous with Constrained Application Protocol. CoAP is an application layer protocol, applied to the Internet of Things, based on the REST architecture. It runs over the UDP protocol rather than over TCP like HTTP. The CoAP protocol is very small, and the smallest packet is only 4 bytes.

Wireless communication module: A common definition of wireless communication module is that a module is a functional module that integrates baseband chips, memory, power amplifier devices, etc. on a circuit board and provides standard interfaces. Various terminals use wireless modules. The communication function can be realized. Quectel module is a type of wireless communication module under the mobile company.

RSSI: Received Signal Strength Indication The received signal strength indication is used to determine the link quality and whether to increase the broadcast transmission strength. An indication of the average signal strength of the receiver input obtained by the receiver measurement circuit.

SINR: Signal to Interference plus Noise Ratio (Signal to Interference plus Noise Ratio) refers to the ratio of the strength of the received useful signal to the strength of the received interference signal (noise and interference); it can be simply understood as "signal-to-noise ratio". ".

RSRP: (Reference Signal Receiving Power, Reference Signal Received Power) is one of the key parameters that can represent the wireless signal strength and one of the physical layer measurement requirements in the LTE network. The average value of the received signal power.

Referring to FIG. 1, FIG. 1 is a schematic flowchart of a method according to an embodiment of the present invention, including:

Receive first data based on the first time interval, and perform similarity judgment on the first data, where the first data is a group of data with the same characteristics;

If the similarity of the first data is greater than or equal to the first threshold, receive second data, and the second data is used to represent the current network state;

The second data is compared with the second threshold range, and if the second data falls within the second threshold range, the first data is sent.

It should be noted that, by judging the similarity of the received first data, if the similarity of the first data is greater than or equal to the first threshold, then the current network state is detected, and when the network state is good, the first data is sent, To a certain extent, it can solve the problem of low transmission efficiency and unbalanced network load in the current Internet of Things data transmission using CoAP protocol for communication, and in the case of poor network status, a large amount of data will be repeatedly sent and a large amount of network traffic will be consumed. technical problem.

Specifically, the first time interval can be specifically set according to the actual network conditions of the Internet of Things transmission system and the real-time requirements for transmitting data, and the first data has the same characteristics. In a specific embodiment, the first data is a set of Regarding the collected data of temperature, it can be understood that it can also be collected data of humidity, collected data of position, collected data of current point and pressure, and the like.

The second data is used to represent the current network state, and there are many quantitative indicators that can represent the current network state. As long as the measurement indicators based on the network state are suitable for measuring the network state in the present invention, a specific embodiment of the present invention is: Query the values of RSSI, SINR, and RSRP to determine the network status. The network here is not limited to a wired network or a wireless network. Specifically, for the RSSI indicator, when the value range of RSSI is greater than -90dBm and less than -25dBm, it is considered that the current network state can be used to transmit data. For the SINR indicator, when the value range of SINR is greater than 17dB When the value is less than 30dB, it is considered that the current network state can be used to transmit data. For the RSRP indicator, when the value range of RSRP is greater than -95dBm and less than -44dBm, it is considered that the current network state can be used to transmit data.

FIG. 2 is a schematic diagram of a data similarity judgment process in a method according to an embodiment of the present invention, including:

Receive data A1, wait for the first time interval, and then receive data A2;

Compare the absolute value of the difference between data A2 and data A1 with the first threshold;

If the absolute value of the difference is smaller than the first threshold, the data A2 is discarded.

If the absolute value of the difference is greater than or equal to the first threshold, save the data A2;

Second data is received, and the second data is used to characterize the strength of the network signal.

A specific embodiment of the present invention is: collecting latitude and longitude position data through a GPS positioning sensor, and setting similarity judgment criteria, such as the absolute value of the difference between the old and new longitude and latitude is greater than the value K, if the absolute value of the difference is not greater than K, then the new The data is repeated data and discarded, and the data is collected cyclically after waiting for the collection interval T1; otherwise, the network status is judged, and the RSSI, SINR, and RSRP values are driven by the Quectel module to query the values of RSSI, SINR, and RSRP, and the network status is judged. Then wait for the query interval T2 to query the network status again, and then determine whether to send data.

3 is a schematic flowchart of sending first data in a method according to an embodiment of the present invention, including:

Based on the first data binding unique identifier, the unique identifier is a strictly increasing sequence;

Based on the unique identifier, update the sending state of the corresponding first data in the data packet sending state table;

Send the first data.

A specific embodiment of the present invention is: collecting latitude and longitude position data through a GPS positioning sensor, and setting similarity judgment criteria, such as the absolute value of the difference between the old and new longitude and latitude is greater than the value K, if the absolute value of the difference is not greater than K, then the new The data is repeated data and discarded, and the data is collected cyclically after waiting for the collection interval T1; otherwise, the network status is judged, and the RSSI, SINR, and RSRP values are driven by the Quectel module to query the values of RSSI, SINR, and RSRP, and the network status is judged. Then wait for the query interval T2 to query the network status again, and then determine whether to send data. If the network status is good, assign an ID number to each data packet (this ID number is a strictly increasing sequence), and then send the data, and based on this The ID number updates the sending state of the corresponding data packet in the data packet sending state table, and continues to collect data cyclically after waiting for the collection interval T1.

A specific embodiment of the present invention is that the first data is mapped to the data packet sending state table through a hash function.

4 is a schematic flowchart of updating a data packet sending status table according to an embodiment of the present invention, including:

Set the length of the data packet sending status table table to N, set the mapping rule to X=ID mod N, ID is the unique identifier, mod is the remainder operation, and x is the position index of the data corresponding to the unique identifier in the data packet sending status table;

Calculate the position index of the corresponding first data in the data packet sending status table based on the unique identifier,

Based on the location index, the sending state of the data packet corresponding to the first data in the data packet sending state table is updated. Specifically, the fixed table length of the data packet sending state table is set to N, and the data packet sending state table can accommodate the state information records of N data packets, using the hash function: X=ID mod N (mod is the remainder operation) to perform Mapping storage, if a mapping conflict occurs, the previous record is overwritten. A specific embodiment is: set ID=12, N=6, X=0=12 mod 6, then the state of the data packet of ID=12 is stored in the table The position index is 0. At this time, if the status of the data packet with ID=18 needs to be updated, the status of the data packet with ID=12 will be covered. It is understood that when the network status is good, the table length is N, and the collection interval is T1. In the case of N*T1, the device will discard the data collected before N*T1 time and will not send it again. Therefore, the selection of N and T1 depends on the actual network state stability and the timeliness of the data.

A specific embodiment of the present invention is to receive the second data, compare the second data with the second threshold range, and if the second data falls within the second threshold range, query the data packet sending status table, and send the data satisfying the first threshold. A rule of data, the first rule is that the data is sent without receiving confirmation information and/or the number of times of data sending is less than or equal to the preset value; the data packet sending state table is updated based on the sending state of the data.

Specifically, the data used for network status judgment is received, wherein the data used for network status judgment is the values of RSSI, SINR, and RSRP queried by driving the Quexel module. If the network status is not good, wait for the query interval T2 Query the network status again, and then determine whether to send data. If the network status is good, query the data packet sending status table, and resend all unacknowledged and repeated data packets that are not sent more than M times, and maintain and update the data packets at the same time. In the sending state table, add one to the number of repeated sending of the corresponding data packet (the initial repeated sending number is 0), and then wait for the retransmission interval T3 before retransmitting the data.

A specific embodiment of the present invention is that the server receives the first data, and determines the receiving state of the first data through the unique identifier bound to the first data, and the receiving state includes initial reception and repeated reception; The first data meets the data reception standard and sends confirmation information to the device; the data packet reception status table is updated, and the data packet reception status table and the data packet transmission status table are generated by the same rules; if the reception status is repeated reception, the first data is discarded.

A specific embodiment of the present invention is that the device receives the confirmation information; if the confirmation information indicates that the data is successfully received, the transmission state of the corresponding data in the update data packet transmission state table is confirmed.

FIG. 5 is a schematic flow chart of collecting data and sending data according to an embodiment of the present invention. Specifically, a specific embodiment of the present invention based on FIG. 5 is: the device starts a thread to execute data transmission, and the latitude and longitude positions are collected by the GPS positioning sensor. If the absolute value of the difference between the old and new longitude and latitude is greater than the value K, if the absolute value of the difference is not greater than K, the new data is considered to be duplicate data and discarded, and the cycle collection will continue after the collection interval T1. Otherwise, the network status is judged, and the RSSI, SINR, and RSRP values are queried by driving the Quectel module to judge the network status. If the network status is not good, wait for the query interval T2 to query the network status again, and then judge whether to send Data, if the network status is good, assign an ID number for each data packet binding (this ID number is a strictly increasing sequence) and send the data, and update the sending status of the corresponding data packet in the data packet sending status table, and then wait for the collection interval T1 Then continue to collect data cyclically.

Among them, the fixed table length of the above-mentioned data packet sending status table is N, which can accommodate the status information records of N data packets. The hash function: X=ID mod N (mod is the remainder operation) is used for mapping and storage. If mapping occurs The conflict will cover the previous record, and the specific performance is ID=12, N=6, X=0=12 mod 6, then the status of the data packet with ID=12 is stored in the position of index 0 in the table, if there is an ID If the data packet status with ID=18 needs to be updated, the data packet status with ID=12 will be covered, which leads to a conclusion that when the network status is good (that is, the query interval is ignored), the table length is N, and the collection interval is T1, the device will After the N*T1 time has passed, the data collected before the N*T1 time will be discarded and will no longer be sent. Therefore, the selection of N and T1 depends on the actual network state stability and the timeliness of the data.

FIG. 6 is a schematic flowchart of receiving a confirmation message according to an embodiment of the present invention. Specifically, a specific embodiment of the present invention based on FIG. 6 is: the sensing device side starts a thread to perform data confirmation, and as shown in FIG. 6, receives a message from the server. Confirm the data packet, and update the data packet sending status table, if the confirmation is correct, update the sending status of the specified data packet on the table as confirmed.

FIG. 7 is a schematic flowchart of data retransmission according to an embodiment of the present invention. Specifically, a specific embodiment of the present invention based on FIG. 7 is: the sensing device starts a thread to execute data retransmission. As shown in FIG. The remote module determines the network status. If it is good, it queries the data packet sending status table, resends all unacknowledged and repeated data packets that are not sent more than M times, and maintains and updates the data packet sending status table. , increase the number of repeated transmissions of the corresponding data packet by 1, and then wait for the retransmission interval T3 before retransmitting the data; if the network status is not good, wait for the query interval T2 before querying the network status.

Fig. 8 is a schematic flowchart of a server receiving data according to an embodiment of the present invention. Specifically, a specific embodiment of the present invention based on Fig. 8 is: the server performs data receiving. As shown in Fig. 8, after receiving the data from the sensing device , First of all, it is necessary to judge whether it is the received duplicate data, which is mainly based on the data packet receiving status table. If the received data ID number is the same as the currently received data ID number in the table, it is duplicate data, and discarding is Yes; otherwise, it is judged as new data, and then judge whether the data is complete and correct, if there are missing values, garbled characters, etc., wait for the device data to be resent again, otherwise send a confirmation message to the device to tell the device that the data has been received, and update the data The ID number of the corresponding location data packet in the packet receiving status table. The data packet receiving status table here is similar to the data packet sending status table. The fixed table length is N (the same length as the data packet sending status table), which can accommodate the status information records of N data packets. The hash function is used: X= ID mod N (mod is the remainder operation) is mapped and stored. If a mapping conflict occurs, the previous record will be overwritten. The specific performance is ID=12, N=6, X=0=12 mod 6, then the index in the table is 0 The location stores the ID number 12. If another data packet with ID=12 is sent, query ID=12 to exist, and judge that it is repeated. If the data packet with ID=18 is sent, query the current table with ID=12 and judge. For new data, update to ID=18, and the data coverage rules for other locations are the same.

FIG. 9 is a schematic block diagram of modules of a system according to an embodiment of the present invention. In a specific embodiment of the present invention, it includes an Internet of Things data transmission system. The system uses any of the above-mentioned Internet of Things data transmission methods, including:

Perception equipment, used to collect data, including smart sensors, two-dimensional codes, and radio frequency identification cards;

Communication module, used to transmit data by wire or wireless;

The server is used to analyze, detect and control the data.

A specific embodiment is: use GPS positioning sensor to collect position data; use a remote module as a wireless communication module for data transmission, and the server selects any computer connected to the Internet; Data transmission of the Internet of Things, it should be noted that the embodiments of the present invention are not limited to positioning sensors, and any sensor falls within the scope of the present invention, including temperature sensors, current sensors, point pressure sensors, humidity sensors, pressure sensors, Sound sensor, signal strength sensor, etc. The present invention is not limited to data transmission methods, including wired transmission and wireless transmission. The server can be a networked computer, or any server form in the prior art, such as a cloud server, can be used. It should be understood that the selection of the server selects an appropriate server according to the size of the actual and specific processed data.

Through the technical scheme of the present invention, the reliability of the small packet data transmission of the Internet of Things in the UDP mode is improved, and the consumption of network traffic is further saved by adding data similarity judgment and network state judgment.

Although specific embodiments are described herein, those of ordinary skill in the art will recognize that many other modifications or alternative embodiments are also within the scope of this disclosure. For example, any of the functions and/or processing capabilities described in connection with a particular device or component may be performed by any other device or component. Additionally, although various exemplary implementations and architectures have been described in accordance with the embodiments of the present disclosure, those of ordinary skill in the art will recognize that many other modifications to the exemplary implementations and architectures described herein are within within the scope of this disclosure.

Certain aspects of the present disclosure are described above with reference to block diagrams and flowchart illustrations of systems, methods, systems and/or computer program products according to example embodiments. It will be understood that one or more blocks of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by the execution of computer-executable program instructions. Also, some blocks of the block diagrams and flowchart illustrations may not need to be performed in the order shown, or all of the blocks may not need to be performed in accordance with some implementations. Additionally, additional components and/or operations beyond those illustrated by blocks in the block diagrams and flowcharts may be present in certain embodiments.

Accordingly, blocks in the block diagrams and flowchart illustrations support combinations of means for performing the specified functions, combinations of elements or steps for performing the specified functions and program instruction means for performing the specified functions. It will also be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, can be implemented by special purpose hardware computer systems, or combinations of special purpose hardware and computer instructions, that perform the specified functions, elements, or steps.

Program modules, applications, and the like described herein may include one or more software components, including, for example, software objects, methods, data structures, and the like. Each such software component may include computer-executable instructions that, in response to execution, cause at least a portion of the functions described herein (eg, one or more operations of the exemplary methods described herein) be executed.

Software components can be coded in any of a variety of programming languages. An exemplary programming language may be a low-level programming language, such as assembly language associated with a particular hardware architecture and/or operating system platform. Software components that include assembly language instructions may need to be converted into executable machine code by an assembler prior to execution by a hardware architecture and/or platform. Another exemplary programming language may be a higher level programming language that is portable across multiple architectures. Software components including higher level programming languages may need to be converted into an intermediate representation by an interpreter or compiler before execution. Other examples of programming languages include, but are not limited to, macro languages, shell or command languages, job control languages, scripting languages, database query or search languages, or report writing languages. In one or more exemplary implementations, a software component containing instructions from one of the above-described programming language examples can be directly executed by an operating system or other software component without first being converted to another form.

Software components may be stored as files or other data storage constructs. Software components with similar types or related functions may be stored together, for example, in a particular directory, folder, or library. Software components may be static (eg, preset or fixed) or dynamic (eg, created or modified at execution time).

The embodiments of the present invention have been described in detail above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned embodiments, and within the scope of knowledge possessed by those of ordinary skill in the art, various Variety.

Claims

A data transmission method for the Internet of Things, comprising the following steps:

Receive first data based on a first time interval, and perform similarity judgment on the first data, where the first data is a group of data with the same characteristics;

If the similarity of the first data is greater than or equal to the first threshold, receiving second data, where the second data is used to represent the current network state;

The second data is compared with a second threshold range, and if the second data falls within the second threshold range, the first data is sent.
The IoT data transmission method according to claim 1, wherein the receiving the first data based on the first time interval, and performing similarity judgment on the first data comprises:

Receive data A1, and after waiting for the first time interval, receive data A2;

comparing the absolute value of the difference between the data A2 and the data A1 with the first threshold;

If the absolute value of the difference is smaller than the first threshold, the data A2 is discarded.
The IoT data transmission method according to claim 2, wherein, if the similarity of the first data is greater than a first threshold, receiving the second data comprises:

If the absolute value of the difference is greater than or equal to the first threshold, save the data A2;

The second data is received, and the second data is used to characterize the strength of the network signal.
The IoT data transmission method according to claim 1, wherein if the second data falls within the second threshold range, sending the first data comprises:

Based on the first data binding unique identifier, the unique identifier is a strictly increasing sequence;

Based on the unique identifier, update the sending state of the first data corresponding to the data packet sending state table;

The first data is sent.
The Internet of Things data transmission method according to claim 4, wherein, based on the unique identifier, updating the sending state of the first data corresponding to the data packet sending state table comprises:

Set the length of the data packet sending status table table to N, set the mapping rule to be X=ID mod N, ID is the unique identifier, mod is the remainder operation, and x is the data corresponding to the unique identifier in the data packet position index in the sending state table;

Calculate the position index of the corresponding first data in the data packet sending status table based on the unique identifier;

Based on the location index, the sending state of the data packet corresponding to the first data in the data packet sending state table is updated.
The IoT data transmission method according to claim 4, wherein the first data is mapped to the data packet sending status table through a hash function.
The Internet of Things data transmission method according to claim 1, further comprising:

Receive the second data, compare the second data with the second threshold range, and if the second data falls within the second threshold range, query the data packet sending status table, and send the The data of the first rule, the first rule is that the data is sent without receiving confirmation information and/or the number of times the data is sent is less than or equal to a preset value;

The data packet transmission status table is updated based on the transmission status of the data.
The Internet of Things data transmission method according to claim 1, further comprising:

The server receives the first data, and determines the receiving state of the first data through the unique identifier bound to the first data, where the receiving state includes initial reception and repeated reception;

If the receiving state is the initial reception, determine that the first data meets the data receiving standard and send confirmation information to the device; and, update the data packet receiving state table, the data packet receiving state table and the data packet sending state table Generated by the same rules;

If the receiving state is repeated receiving, the first data is discarded.
The Internet of Things data transmission method according to claim 8, further comprising:

The device side receives the confirmation information;

If the acknowledgment information indicates that the data is successfully received, the sending status corresponding to the data in the data packet sending status table is updated to be confirmed.
An internet of things data transmission system, using the internet of things data transmission method according to any one of claims 1 to 9, characterized in that, comprising:

a sensing device, used for collecting data, the sensing device includes a smart sensor, a two-dimensional code, and a radio frequency identification card;

A communication module for transmitting said data by wired or wireless means;

The server is used to analyze, detect and control the data.