CN114124281B - Event synchronous estimation method of multiple Internet of things equipment within predictable error range - Google Patents
Event synchronous estimation method of multiple Internet of things equipment within predictable error range Download PDFInfo
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Abstract
The invention discloses an event synchronous estimation method of multiple Internet of things devices within an expected error range, which comprises the following steps: s1, configuring a synchronous group, S2, generating a tested synchronous event by a data center, S3, transmitting the tested synchronous event by the data center, analyzing response data, solving a delay value of each terminal, S4, taking the maximum value of the delay value of each terminal device in the synchronous group as the delay value of the synchronous group, S5, repeating the steps S1-S4 for 2-10 times, taking the maximum value of the delay value of each terminal device in the synchronous group in the repeated steps as the delay index of the synchronous group, S6, determining the local delay value of each terminal device according to the delay index of each synchronous group, S7, transmitting the synchronous event to all terminal devices in the synchronous group, S8, analyzing the response of all terminal devices, and S9, wherein the synchronous event of the synchronous group is successfully ended. The invention can obtain the identity of the final execution time and greatly improve the accuracy of the data.
Description
Technical Field
The invention relates to the technical field of the Internet of things, in particular to an event synchronization estimation method of multiple Internet of things devices within an expected error range.
Background
The internet of things is the next important form of internet development, and supports access and control of a large number of devices. Considering an application model of event synchronization between cloud computing and multiple acquisition devices, a cloud computing center sends a command to require multiple terminal devices to execute an operation at the same moment, a complex network routing process and a complex computing process in the prior art determine that multiple terminals cannot execute the command simultaneously, the command needs to be executed in sequence, the problem that the description of the degree of the synchronization and a trusted interval of a difference range need to be considered is solved, and once a network architecture is determined and a code of an implementation process is determined, the range of the difference promise is also a problem that needs to be considered.
Therefore, the existing data transmission has lower real-time performance, lower data analysis accuracy and poorer effective correlation between data, the synchronization degree greatly influences the quality and efficiency of data analysis, a data center sends out a command executed on a plurality of terminal devices, and the difference of the execution time of the final command on each terminal device does not quantify the data. The problem is that the higher quality data analysis is difficult, the errors of the data cannot be quantitatively evaluated, the practicability of the final data is greatly reduced, and even the final data is not useful, so that how to provide an event synchronous estimation method of multiple internet of things devices within the range of the predictable errors is a problem which needs to be solved by the person skilled in the art.
Disclosure of Invention
The invention aims to provide an event synchronous estimation method of a plurality of Internet of things devices within an expected error range.
According to the embodiment of the invention, the event synchronization estimation method of the multi-Internet of things equipment within the range of the expected error comprises the following method steps:
s1, configuring a synchronous group;
s2, the data center generates a synchronous event for testing;
s3, a data center sends a test synchronization event, receives response data returned by each terminal device, analyzes the response data, and obtains a delay value of each terminal;
s4, taking the maximum value of the delay values of all the terminal devices in the synchronous group as the delay value of the synchronous group;
s5, repeating the steps S1-S4 for 2-10 times, and taking the maximum value of the delay values of all the terminal devices in the synchronous group in the repeated steps as the delay index of the synchronous group;
s6, determining a local delay value of each terminal device according to the delay index of each synchronous group;
s7, transmitting a synchronous event to all terminal devices in the synchronous group;
s8, analyzing the responses of all the terminal devices;
s9, the synchronization event of the synchronization group is successfully ended.
Preferably, in the step S1, a group of terminal devices is configured as a synchronization group, and the synchronization event is processed in the synchronization group.
Preferably, the synchronization event in S2 includes five fields:
the first field is real-time based on a data center time system;
the second field is a relative time value filled by the terminal equipment receiving the command, and the relative time value is a count value counted in a specified fixed period;
the third field is the current count value written in when the terminal equipment responds to the data center after finishing the command task;
the fourth field is the period value of the equipment terminal counter;
the fifth field is the delay value that the device should perform.
Preferably, after receiving the response of each terminal device, the data center in S3 obtains the current time of the data center time system, and subtracts the time when the command is sent from the current time to obtain the total delay value of one command interaction.
Preferably, all terminal devices corresponding to one synchronization event in S4 are used as one synchronization group, and the maximum value of the transmission delay is used as the transmission delay value of one synchronization group.
Preferably, after the transmission delay value of the synchronization group is obtained in S5, the specific delay of a specific device terminal after receiving the synchronization event is obtained, and the delay of the specific device terminal is subtracted from the maximum delay of the synchronization group to obtain the delay data that the specific device terminal should attach to within the synchronization group.
Preferably, the additional delay data adjusts the synchronization commands within a synchronization group to a more precise time instant in the case of distributed cross-clock domains.
Preferably, the specific terminal refers to a device terminal which is deployed in place and can be normally accessed, and the deployment position of the device terminal is not changed any more, and the device terminal is provided with an intelligent device which receives an instruction of a data center and can respond to the data center and has timing capability.
Preferably, the local delay value of the nth device in S6 is equal to the synchronization group delay index minus the delay value of the terminal device.
Preferably, the delay value of all the terminal devices in the synchronization group in S8 cannot be greater than the delay index of the synchronization group, if any terminal device in the synchronization group has a delay value greater than the delay index of the synchronization group, the transmission fails, the command is retransmitted, and if the transmission is repeated for 3 times, the system goes to S1 to redetermine the delay index of the synchronization group.
The beneficial effects of the invention are as follows:
the invention can eliminate the link delay of the complex network and the delay of the calculation process, so that the aim of starting to execute a certain task at the same time is achieved on a group of terminal equipment, the terminal equipment does not have real-time, and is in two completely uncorrelated clock domains with the data center time system, and the two clock systems are completely independent, thereby obtaining the identity of the final execution time and improving the accuracy of 60-75 percent of data.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a basic model relationship diagram of an event synchronous estimation method of a plurality of Internet of things devices within an expected error range;
FIG. 2 is a time distribution diagram of an event synchronization estimation method of multiple Internet of things devices within an expected error range according to the present invention;
FIG. 3 is a diagram showing the relationship between the essential fields of the synchronous events of the event synchronous estimation method of the multi-Internet of things device within the range of the expected error;
fig. 4 is a time division schematic diagram of one communication of an embodiment 1 of a synchronization event of an event synchronization estimation method of multiple internet of things devices within an expected error range according to the present invention;
fig. 5 is a tree network diagram of an embodiment 2 of a synchronization event of the event synchronization estimation method of multiple internet of things devices within an expected error range according to the present invention;
fig. 6 is a flowchart illustrating steps of a method for estimating event synchronization of multiple internet of things devices within an expected error range according to the present invention.
Detailed Description
The invention will now be described in further detail with reference to the accompanying drawings. The drawings are simplified schematic representations which merely illustrate the basic structure of the invention and therefore show only the structures which are relevant to the invention.
Referring to fig. 1-3, a method for estimating event synchronization of multiple internet of things devices within an expected error range includes the following method steps:
s1, configuring a synchronous group, and configuring a group of terminal equipment into a synchronous group, wherein the synchronous event is processed in the synchronous group;
s2, the data center generates a synchronous event for testing;
the synchronization event in S2 contains five fields:
the first field is real-time based on a data center time system;
the second field is a relative time value filled by the terminal equipment receiving the command, and the relative time value is a count value counted in a specified fixed period;
the third field is the current count value written in when the terminal equipment responds to the data center after finishing the command task;
the fourth field is the period value of the equipment terminal counter;
the fifth field is the delay value that the device should perform.
S3, a data center sends a test synchronization event, receives response data returned by each terminal device, analyzes the response data, and obtains a delay value of each terminal;
and S3, after receiving the response of each terminal device, the data center obtains the current time of the data center time system, and the total delay value of one command interaction is obtained by subtracting the time when the command is sent from the current time.
S4, taking the maximum value of the delay values of all the terminal devices in the synchronous group as the delay value of the synchronous group;
and (4) taking all terminal devices corresponding to one synchronous event in the S4 as one synchronous group, and taking the maximum value of the transmission delay as the transmission delay value of one synchronous group.
S5, repeating the steps S1-S4 for 2-10 times, and taking the maximum value of the delay values of all the terminal devices in the synchronous group in the repeated steps as the delay index of the synchronous group;
after the transmission delay value of the synchronization group is obtained in S5, the specific delay of a specific device terminal after receiving the synchronization event is obtained, and the delay of the specific device terminal is subtracted from the maximum delay of the synchronization group to obtain the additional delay data of the specific device terminal in the synchronization group.
The additional delay data adjusts the synchronization commands within a synchronization group to a more precise time instant in the case of distributed cross-clock domains.
The specific terminal refers to a device terminal which is deployed in place, can be normally accessed and has no change in deployment position, and the device terminal is provided with an intelligent device which receives an instruction of a data center and can respond to the data center and has timing capability.
S6, determining a local delay value of each terminal device according to the delay index of each synchronous group;
the local delay value of the nth device in S6 is equal to the synchronization group delay index minus the delay value of the terminal device.
S7, transmitting a synchronous event to all terminal devices in the synchronous group;
s8, analyzing the responses of all the terminal devices;
and S8, if the delay value of any terminal equipment in the synchronous group is larger than the delay index of the synchronous group, the transmission fails, the command is retransmitted, and if the transmission is repeated for 3 times, the result larger than the delay index of the synchronous group is obtained, the system goes to S1 to redefine the delay index of the group.
No wireless cycling will occur here because it is possible that the transmission gets a result that is larger than the delay index of the synchronization group even after entering S1. The network and terminal topology is determined, and the operation is a balance mechanism for dynamically tracking network fluctuation, so that the credible interval of final data is fundamentally ensured, otherwise, the dynamic fluctuation characteristic of the network exceeds the tested index range, and the result outside the expected error range is caused.
S9, the synchronization event of the synchronization group is successfully ended.
The invention realizes synchronization across two irrelevant clock domains based on complex network transmission, the synchronization is a process that both clock domains can correctly understand and execute, the synchronization process does not need to depend on absolute time, only needs to start timing from the access of a data center, the reference time is the synchronous reference time, and terminal equipment in a group is supplemented with personalized delay data according to delay data which are obtained by a system pre-test, thereby achieving the time of group synchronization.
Example 1:
referring to FIG. 4, the value of t2-t1 is calculated for a particular device. The data center transmits the synchronization event twice to the terminal device 1 at a time interval of interval δt1. When the first transmitted synchronization request response arrives at the data center, the data center obtains the current system time t4.
One transmission is based on one link, and the transmission and the reception are approximately considered to be the same route, and network delay is equal. The network delay from the data center to the terminal is obtained by ((t 4-t 1) - (t 3-t 2))/2. And respectively solving the delays for a group of terminal equipment, and taking the maximum value of the delays as the delay of the group. Generating a delay value of each device, issuing a group synchronization event, and if all influences of the group do not return within a specified range, canceling the group synchronization event of the time, and issuing the group synchronization event again until the responses of all the terminal devices meet the delay index.
Under the mechanism of the invention, the upper bound and the lower bound of data synchronization can be given according to actual test data, and the maximum deviation of an analysis result can be predicted according to the deviation of the upper bound and the lower bound. In order to shorten the range of the upper and lower bounds, the upper and lower bounds can be further reduced through optimization of a network system, and finally the usable range is reached.
Example 2:
referring to fig. 5, the shanxi province needs to perform one calculation on the loss of the power grid, the adopted network architecture is cloud computing+nb-IoT terminal acquisition equipment, 10 ten thousand acquisition points are all provincially used, the structure of the power grid can be regarded as a tree structure from a root node to a leaf node, and the 10 ten thousand acquisition points are used for acquiring the electricity consumption parameters of the tree network.
The loss is calculated for the transmission paths of nodes a to B in one hour. The energy states of A and B are required to be acquired at the same moment when one hour starts, after one hour, the energy states of A and B at the same moment are required to be acquired again, an algorithm is submitted to analysis, and the energy loss values of the branches A to B are given to judge the transmission loss. Considering larger network, calculating transmission loss between B node and G, H and I nodes, obviously accurate synchronization time, greatly reducing data error, compared with the method of calculating the compensation accuracy on algorithm, the method of the invention obtains good effect with extremely low cost, can greatly reduce the difficulty of processing data and the complexity of algorithm, and can obtain more accurate result.
In other embodiments, a mechanism is also suitable where a network such as a water supply is also suitable for handling such a scenario, and for a stock exchange system, a more fair way of publishing data should be that all people see the same data state at the same time, in fact because of the complexity of the network, the data will have different delays, which will cause a technical vulnerability, and if handled in the same way, a certain improvement will be achieved, in other embodiments the scenario is suitable for time synchronization in this way.
Under a determined network structure, the invention gives out the time difference of executing the synchronous command on a plurality of terminal devices by the synchronous command sent by the data center under a determined service implementation mode, quantifies the difference, can estimate quantized data of the synchronous degree according to actual conditions, can give out quantized quality evaluation of final data based on the quantized data, can greatly improve the practical value of the data, can carry out quantized estimation on the actual error of the data, can effectively reduce the complexity of data processing and improves the credibility of the data.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (1)
1. The event synchronization estimation method for the multi-Internet of things equipment within the range of the expected error is characterized by comprising the following steps of:
s1, configuring a synchronous group;
s2, the data center generates a synchronous event for testing;
s3, a data center sends a test synchronization event, receives response data returned by each terminal device, analyzes the response data, and obtains a delay value of each terminal;
s4, taking the maximum value of the delay values of all the terminal devices in the synchronous group as the delay value of the synchronous group;
s5, repeating the steps S1-S4 for 2-10 times, and taking the maximum value of the delay values of all the terminal devices in the synchronous group in the repeated steps as the delay index of the synchronous group;
s6, determining a local delay value of each terminal device according to the delay index of each synchronous group;
s7, transmitting a formal synchronous event to all terminal devices in the synchronous group;
s8, analyzing the responses of all the terminal devices;
s9, the synchronization event of the synchronization group is successfully ended,
wherein in said S1 a group of terminal devices is configured as a synchronization group, said synchronization event being processed within the synchronization group,
after receiving the response of each terminal device, the data center obtains the current time of the data center time system, subtracts the time when the command is sent from the current time to obtain the total delay value of one command interaction,
after receiving the response of each terminal device, the data center obtains the current time of the data center time system, subtracts the time when the command is sent from the current time to obtain the total delay value of one command interaction,
all terminal devices corresponding to one synchronization event in the S4 are used as one synchronization group, the maximum value of the transmission delay is used as the transmission delay value of one synchronization group,
after the transmission delay value of the synchronous group is obtained in the step S5, the delay of a specific equipment terminal after receiving the synchronous event is obtained, the delay of the specific equipment terminal is subtracted by the maximum delay of the synchronous group to obtain the local delay value of the equipment terminal corresponding to the additional delay data in the synchronous group, wherein the specific equipment terminal refers to the equipment terminal which is already deployed in place and can be normally accessed, the deployment position of the specific equipment terminal is not changed any more, the specific equipment terminal is provided with an intelligent equipment which receives the instruction of the data center and can respond to the data center and has timing capability,
the additional delay data adjusts the synchronization commands within a synchronization group to an exact moment in the case of distributed cross-clock domains,
and S8, if the delay value of any terminal equipment in the synchronous group is larger than the delay index of the synchronous group, the transmission fails, the command is retransmitted, and if the transmission is repeated for 3 times, the result larger than the delay index of the synchronous group is obtained, the system goes to S1 to redefine the delay index of the group.
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