CN116155434A - Millisecond-level deep time service improvement method based on HPLC local communication module - Google Patents
Millisecond-level deep time service improvement method based on HPLC local communication module Download PDFInfo
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Abstract
The invention relates to the technical field of communication network optimization, in particular to an improvement method for millisecond-level deep time service based on an HPLC local communication module, which comprises the following steps: confirming a communication area according to the geographic position information, acquiring a digital signal sent by communication equipment in the communication area in real time, and confirming the position information of the communication equipment according to the acquired digital signal; the method comprises the steps of receiving the confirmed communication area and the acquired position information of the communication equipment, and acquiring the position information of network routing nodes and network link nodes deployed in the communication area.
Description
Technical Field
The invention relates to the technical field of communication network optimization, in particular to an improvement method for millisecond-level deep time service based on an HPLC local communication module.
Background
The HPLC local communication module is a broadband carrier module, and is mainly used for data transmission, data reading, channel management, power failure event reporting, system management and optimized network scheduling mechanisms of products such as an ammeter, a collector, a concentrator, a gateway and the like on a power line medium, realizes ordered management of carrier channels based on a whole network beacon synchronization mechanism and combines a CSMA/TDMA algorithm, so that mutual crosstalk among stations is effectively avoided, reliable and real-time reporting of events is ensured, and the network layer optimization algorithm such as self-adaptive agent node control, selection, equalization and the like is applied, so that the network scheduling mechanism has the capabilities of automatic optimization, automatic real-time restoration and the like of network paths, and timeliness and robustness of networking are ensured.
The patent application number 202122466103.5 discloses a based on the local communication module millisecond level degree of depth time service module of HPLC, its characterized in that includes:
the device comprises a controller, a storage module, a communication module and a display;
the controller is electrically connected with the concentrator HPLC carrier wave module switcher, and the concentrator HPLC carrier wave module switcher is electrically connected with the HPLC concentrator carrier wave module; the controller is used for processing the sending and receiving of the data; the storage module, the communication module and the display are electrically connected with the controller; the storage module is used for storing the local data so as to facilitate the subsequent invocation of the local data; the communication module is used for data exchange between the controller and the storage module; the display is used for displaying local data.
The application aims to solve the problems that: in the device authorized by the HPLC local communication module, a local display device is lacking, and data are directly sent to a remote master station, so that monitoring is not carried out by local personnel, and the problem that the data cannot be stored locally is solved.
However, in the current use scenario of the module for the operation data transmission of mutual interaction of all the station machine components in the industrial factory, the process of data sharing interaction is often lack of instantaneity due to data receiving and transmitting delay of all the station machine groups, so that the efficiency and synchronism of mutual collaborative generation of all the station machine groups are affected.
Disclosure of Invention
The technical problems to be solved are as follows: aiming at the defects existing in the prior art, the invention provides an improved millisecond-level deep time service method based on an HPLC local communication module, and solves the technical problems in the background art.
The technical scheme is as follows: in order to achieve the above purpose, the invention is realized by the following technical scheme:
an improved millisecond-level deep time service method based on an HPLC local communication module comprises the following steps:
step 1: confirming a communication area according to the geographic position information, acquiring a digital signal sent by communication equipment in the communication area in real time, and confirming the position information of the communication equipment according to the acquired digital signal;
step 2: receiving the confirmed communication area and the acquired position information of the communication equipment, acquiring the position information of network routing nodes and network link nodes deployed in the communication area, and constructing a communication equipment distribution topology image according to the communication area and the position information;
step 3: identifying a communication equipment distribution topological image, and solving a feasible digital signal transmission path and hop numbers corresponding to each path when the communication equipment sends out digital signals and transmits the digital signals to other communication equipment;
step 4: setting a digital signal transmission frequency, reading the memory size of a digital signal required to be transmitted by the communication equipment when the communication equipment transmits the digital signal, and packetizing the digital signal required to be transmitted by the communication equipment according to the set digital signal transmission frequency;
step 5: monitoring and recording the real-time CLK clock frequency of the communication equipment, and when a plurality of groups of communication equipment transmit a plurality of groups of digital signals to the same target communication equipment, setting the digital signal transmission priority according to the CLK clock frequency of the communication equipment transmitting the digital signals;
step 6: the communication device receiving the digital signal sequentially receives the digital signal by the transmission priority set in step 5 and the packetization processing for the digital signal in step 4, and reads the content of the digital signal packetization in synchronization when each digital signal packetization is received.
Furthermore, in the step 1, two sets of digital signal receivers are disposed outside the confirmed communication area, the two sets of digital signal receivers synchronously receive digital signals sent by the communication devices in the communication area, the distance between the digital signal receivers and the communication devices is further calculated according to the following formula, the digital signal transmission range is confirmed according to the distance between the digital signal receivers and the communication devices, the position information of the communication devices is confirmed according to the digital signal transmission range, and the formula is as follows:
in the method, in the process of the invention,
a distance s between the digital signal receiver q and the communication device j; />
Is the time delay variance; />
Time delay average value;
the communication area set in step 1 is manually set by the user side.
Still further, the step 2 is provided with a sub-step at a lower stage, and includes the following steps:
step 21: the user side reads the communication equipment distribution topological image and manually segments the image, names each segmented image, and marks the communication equipment contained in each segmented image by the names of the segmented images;
step 22: the frequency of the digital signals sent by the communication equipment is calculated by metering the times of the digital signals sent by the communication equipment in the working state;
in the step 21, the separation of the user side from the topology image makes the size of each sub-topology image obtained by segmentation equal, and in the step 22, the obtained metering calculation result data is stored in real time.
Further, the number of hops between the communication devices in the sub-topology image obtained by the segmentation in the step 21 is 0.
Further, step 3 is executed to calculate the distance between the communication device transmitting the digital signal and the communication device receiving the digital signal synchronously, set weights for the calculated distance and the hop count value corresponding to each path, and calculate the recommended value of each digital signal transmission path;
the calculation formula for calculating the recommended value of the digital signal transmission path is as follows:
wherein: ζ is a recommended value of the digital signal transmission path;
a weight for a distance between a communication device transmitting the digital signal and a communication device receiving the digital signal; m is the distance between the communication equipment transmitting the digital signal and the communication equipment receiving the digital signal, and the unit is km; />
The weight of the corresponding hop count value of the path; p is a number value corresponding to the digital signal transmission path.
Still further, the step 3 is provided with a sub-step at a lower stage, and includes the following steps:
step 31: confirming the optimal transmission path between communication devices according to the distance between the transmission paths of the digital signals and the hop numbers corresponding to the paths;
in the stage of sending digital signals to the target communication equipment, the communication equipment captures whether signal transmission paths exist in the target communication equipment and other communication equipment contained in the sub-topology image where the communication equipment is located, if so, the recommended value of the captured transmission paths is calculated, a group of transmission paths with the highest recommended value is selected and provided for the current communication equipment, and the current communication equipment forwards the digital signals to be sent to the communication equipment which belongs to the sub-topology image in the transmission path with the highest recommended value; if not, the digital signal transmission is performed by using the best transmission path confirmed in step 31, and step 31 confirms the recommended value of each digital signal transmission path when confirming the best transmission path of the communication device.
Furthermore, the communication area deploys the network real-time transmission frequency of 800Mbps, the digital signal transmission frequency set in the step 4 is manually edited and set by the user side, the digital signal transmission frequency can be set to be in the range of 500 kb/s-2 mb/s, the sizes of the digital signals packetized in the step 4 are equal, and the size of the digital signal packetized is the size closest to the set digital signal transmission frequency in the state that the digital signals are equally divided.
Further, the CLK clock frequency of the communication device in step 5 is calculated by the following formula:
wherein: n is the nth monitoring period; i is the number of digital signals; n (N) i Metering the aggregate value for the data of the i digital signals;
in step 5, the period of monitoring the CLK clock frequency is set by manual editing by the user terminal, and when the CLK clock frequency is monitored, the detected CLK clock frequency is recorded synchronously, and the CLK clock frequency is further applied to perform priority transmission setting on the digital signal.
Further, when the value of n reaches 100, the backup and reset operations are performed on the digital signals received in all the communication devices.
Further, in the step 6, after all the digital signal packets are received and read, the communication device receiving the digital signal stores the complete digital signal.
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
the invention provides an improved method for millisecond-level deep time service based on an HPLC local communication module, which can be used for continuously optimizing a communication network of communication equipment in multiple steps through steps in the method, ensuring that digital signals transmitted by the communication equipment are time service accurately and quickly, firstly confirming a communication area to confirm the service range of the method, further intelligently capturing all communication equipment in the communication area, and avoiding the process that the communication equipment is manually uploaded through a user side, so that the preparation stage of the method is more comprehensive and quick.
In the process of executing the steps of the method, in an optimization stage, the method analyzes the connection structure of the communication equipment and the routing nodes and the network link nodes in the network, so as to obtain the optimal path of the communication equipment when sending digital signals to other communication equipment according to the analysis result, thereby achieving the aim of optimizing and improving the communication process of the communication equipment.
In the execution process of the steps of the method, the method can be further defined according to the CLK clock frequency of the communication equipment, the size of the transmitted digital signal and the network configuration of the digital signal transmission process, so that the digital signal transmitted by the communication equipment is more balanced and stable in transmission, the robustness of the method in the implementation process is ensured, and meanwhile, the communication equipment can regularly update the finished data through real-time monitoring of the communication equipment, the digital signal is prevented from being received, stored and piled, and the operation of the communication equipment is more durable and constant.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a schematic flow chart of an improved method for millisecond-level deep timing based on an HPLC local communication module;
FIG. 2 is a schematic diagram of a logic demonstration of the confirmation of location information of a communication device according to the present invention;
reference numerals in the drawings represent respectively: 1. a digital signal receiver body; 2. a range determined by a spacing between the digital signal receiver and the communication device; 3. a communication area; 4. a communication device.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1: the embodiment relates to an improved millisecond-level deep time service method based on an HPLC local communication module, as shown in fig. 1, comprising the following steps:
step 1: confirming a communication area according to the geographic position information, acquiring a digital signal sent by communication equipment in the communication area in real time, and confirming the position information of the communication equipment according to the acquired digital signal;
step 2: receiving the confirmed communication area and the acquired position information of the communication equipment, acquiring the position information of network routing nodes and network link nodes deployed in the communication area, and constructing a communication equipment distribution topology image according to the communication area and the position information;
step 3: identifying a communication equipment distribution topological image, and solving a feasible digital signal transmission path and hop numbers corresponding to each path when the communication equipment sends out digital signals and transmits the digital signals to other communication equipment;
step 4: setting a digital signal transmission frequency, reading the memory size of a digital signal required to be transmitted by the communication equipment when the communication equipment transmits the digital signal, and packetizing the digital signal required to be transmitted by the communication equipment according to the set digital signal transmission frequency;
step 5: monitoring and recording the real-time CLK clock frequency of the communication equipment, and when a plurality of groups of communication equipment transmit a plurality of groups of digital signals to the same target communication equipment, setting the digital signal transmission priority according to the CLK clock frequency of the communication equipment transmitting the digital signals;
step 6: the communication equipment for receiving the digital signals sequentially receives the digital signals through the transmission priority set in the step 5 and the packetization processing of the digital signals in the step 4, and synchronously reads the content of the digital signal packetization when each digital signal packetization is received;
the step 2 is provided with the substeps at the lower stage, and comprises the following steps:
step 21: the user side reads the communication equipment distribution topological image and manually segments the image, names each segmented image, and marks the communication equipment contained in each segmented image by the names of the segmented images;
step 22: the frequency of the digital signals sent by the communication equipment is calculated by metering the times of the digital signals sent by the communication equipment in the working state;
in step 21, the user end divides the topological image to make the sub topological image equal in size, and in step 22, the obtained metering calculation result data is stored in real time;
the step 3 is provided with the substeps at the lower stage, and comprises the following steps:
step 31: confirming the optimal transmission path between communication devices according to the distance between the transmission paths of the digital signals and the hop numbers corresponding to the paths;
in the stage of sending digital signals to the target communication equipment, the communication equipment captures whether signal transmission paths exist in the target communication equipment and other communication equipment contained in the sub-topology image where the communication equipment is located, if so, the recommended value of the captured transmission paths is calculated, a group of transmission paths with the highest recommended value is selected and provided for the current communication equipment, and the current communication equipment forwards the digital signals to be sent to the communication equipment which belongs to the sub-topology image in the transmission path with the highest recommended value; if not, the digital signal transmission is performed by using the best transmission path confirmed in step 31, and step 31 confirms the recommended value of each digital signal transmission path when confirming the best transmission path of the communication device.
In this embodiment, the sub-step set by the lower stage of step 2 may enable the communication device distribution topology image to be segmented, so that the method step provides assistance when performing analysis of the digital signal transmission paths of the communication devices included in the topology image, so as to ensure that the digital signal transmission paths between the communication devices in the communication area can be captured in number, and further by performing step 22, the method may enable the user side to provide more readable data, so that the user side can more quickly understand the real-time running state of the communication device;
furthermore, the execution of step 31 results in a preliminary optimization improvement of the digital signal transmission process of the communication device.
Example 2: on the aspect of implementation, on the basis of embodiment 1, this embodiment further specifically describes an improvement method based on the millisecond-level deep timing of the HPLC local communication module in embodiment 1 with reference to fig. 1:
when the step 1 is executed, two groups of digital signal receivers are arranged outside the confirmed communication area, the two groups of digital signal receivers synchronously receive digital signals sent by communication equipment in the communication area, the distance between the digital signal receivers and the communication equipment is further calculated according to the following formula, the digital signal transmission range is confirmed according to the distance between the digital signal receivers and the communication equipment, the position information of the communication equipment is confirmed according to the digital signal transmission range, and the formula is as follows:
in the method, in the process of the invention,
is digital letterA distance s between the number receiver q and the communication device j; />
Is the time delay variance; />
Time delay average value;
the communication area set in step 1 is manually set by the user side.
As shown in fig. 2, by calculating the above formula, the user side can know the distance between the digital signal receiver main body 1 and the communication device 4, and using the distance as a radius, it can obviously know the range 2 determined by the distance between the digital signal receiver and the communication device, and further using the communication area 3 as a reference, two sets of intersection points of the range 2 determined by the distance between the digital signal receiver and the communication device in the communication area 3 and the position information of the communication device 4.
As shown in fig. 1, the number of hops between communication devices in the sub-topology image obtained by the division in step 21 is 0.
As shown in fig. 1, step 3, when executing, synchronously calculating the distance between the communication device transmitting the digital signal and the communication device receiving the digital signal, setting weights for the calculated distance and the hop count value corresponding to each path, and calculating the recommended value of each digital signal transmission path;
the calculation formula for calculating the recommended value of the digital signal transmission path is as follows:
wherein:
a recommended value for the digital signal transmission path; />
A weight for a distance between a communication device transmitting the digital signal and a communication device receiving the digital signal; m is the distance between the communication device transmitting the digital signal and the communication device receiving the digital signalDistance in km; />
The weight of the corresponding hop count value of the path; p is a number value corresponding to the digital signal transmission path.
Through the calculation of the formula, the optimal path of the digital signal transmission path of the communication equipment can be further selected when the step 3 is executed.
As shown in fig. 1, the communication area deploys the network to transmit the frequency 800Mbps in real time, the digital signal transmission frequency set in step 4 is manually edited and set by the user side, the digital signal transmission frequency can be set to be in the range of 500kb/s to 2mb/s, the sizes of the digital signals packetized in step 4 are equal, and the size of the digital signal packetized is closest to the size of the set digital signal transmission frequency in the state that the digital signal is equally divided.
By the above definition, the communication device is more stable in the process of transmitting the digital signal by implementing the method.
As shown in fig. 1, the CLK clock frequency of the communication device in step 5 is calculated by the following formula:
wherein: n is the nth monitoring period; i is the number of digital signals; n (N) i Metering the aggregate value for the data of the i digital signals;
in step 5, the period of monitoring the CLK clock frequency is set by manual editing by the user terminal, and when the CLK clock frequency is monitored, the detected CLK clock frequency is recorded synchronously, and the CLK clock frequency is further applied to perform priority transmission setting on the digital signal.
Through the calculation of the formula, the priority setting can be further carried out according to the CLK clock frequency of the communication equipment in the transmission process of the digital signal, so that the transmission process of the digital signal through the communication equipment is more logical.
As shown in fig. 1, when the value of n reaches 100, the backup and reset operations are performed on the digital signals received in all the communication devices.
By the arrangement, the buffer generated by the receiving and transmitting of the digital signals can not cause time delay of subsequent receiving and transmitting of the digital signals of the communication equipment in the continuous operation process of the communication equipment.
As shown in fig. 1, in step 6, after all the digital signal packets are received and read, the communication device receiving the digital signal stores the complete digital signal.
In summary, in the process of executing the steps of the method in the above embodiment, the continuous multi-step optimization of the communication network of the communication device can be performed, so that the digital signal time service transmitted by the communication device is ensured to be accurate and fast, the communication area is first confirmed to confirm the service range of the method, and further, each communication device in the communication area is intelligently captured, so that the process that the communication device manually uploads the digital signal through the user terminal is avoided, and the preparation stage of the method execution is more comprehensive and fast; in the optimization stage, the method analyzes the connection structure of the communication equipment and the routing nodes and the network link nodes in the network, so as to obtain the optimal path of the communication equipment when transmitting digital signals to other communication equipment according to the analysis result, thereby achieving the aim of optimizing and improving the communication process of the communication equipment; in addition, the method can further ensure that the digital signals sent by the communication equipment are more balanced and stable to be transmitted according to the CLK clock frequency of the communication equipment, the size of the sent digital signals and the network configuration limit of the digital signal transmission process, ensure the robustness of the method in the implementation process, and simultaneously enable the communication equipment to periodically perform data alternation through real-time monitoring on the communication equipment, avoid the storage accumulation of the digital signals and enable the operation of the communication equipment to be more durable and constant.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The improved millisecond-level deep time service method based on the HPLC local communication module is characterized by comprising the following steps:
step 1: confirming a communication area according to the geographic position information, acquiring a digital signal sent by communication equipment in the communication area in real time, and confirming the position information of the communication equipment according to the acquired digital signal;
step 2: receiving the confirmed communication area and the acquired position information of the communication equipment, acquiring the position information of network routing nodes and network link nodes deployed in the communication area, and constructing a communication equipment distribution topology image according to the communication area and the position information;
step 3: identifying a communication equipment distribution topological image, and solving a feasible digital signal transmission path and hop numbers corresponding to each path when the communication equipment sends out digital signals and transmits the digital signals to other communication equipment;
step 4: setting a digital signal transmission frequency, reading the memory size of a digital signal required to be transmitted by the communication equipment when the communication equipment transmits the digital signal, and packetizing the digital signal required to be transmitted by the communication equipment according to the set digital signal transmission frequency;
step 5: monitoring and recording the real-time CLK clock frequency of the communication equipment, and when a plurality of groups of communication equipment transmit a plurality of groups of digital signals to the same target communication equipment, setting the digital signal transmission priority according to the CLK clock frequency of the communication equipment transmitting the digital signals;
step 6: the communication device receiving the digital signal sequentially receives the digital signal by the transmission priority set in step 5 and the packetization processing for the digital signal in step 4, and reads the content of the digital signal packetization in synchronization when each digital signal packetization is received.
2. The improved method for millisecond-level deep time service based on the HPLC local communication module according to claim 1, wherein, when the step 1 is executed, two sets of digital signal receivers are arranged outside the confirmed communication area, the two sets of digital signal receivers synchronously receive the digital signals sent by the communication equipment in the communication area, the distance between the digital signal receivers and the communication equipment is further calculated by the following formula, the digital signal transmission range is confirmed according to the distance between the digital signal receivers and the communication equipment, the position information of the communication equipment is confirmed by the digital signal transmission range, and the formula is:
in the method, in the process of the invention,
a distance s between the digital signal receiver q and the communication device j; />
Is the time delay variance;
time delay average value; the communication area set in step 1 is manually set by the user side.
3. The improved method for millisecond-level deep time service based on the HPLC local communication module according to claim 1, wherein the step 2 is provided with a sub-step at a lower stage, and the method comprises the following steps:
step 21: the user side reads the communication equipment distribution topological image and manually segments the image, names each segmented image, and marks the communication equipment contained in each segmented image by the names of the segmented images;
step 22: the frequency of the digital signals sent by the communication equipment is calculated by metering the times of the digital signals sent by the communication equipment in the working state;
in the step 21, the separation of the user side from the topology image makes the size of each sub-topology image obtained by segmentation equal, and in the step 22, the obtained metering calculation result data is stored in real time.
4. The improved method for millisecond-level deep timing based on HPLC local communication module according to claim 3, wherein the number of hops between communication devices in the sub-topology image obtained by segmentation in step 21 is 0.
5. The improved method for millisecond-level deep time service based on the HPLC local communication module of claim 1, wherein step 3, when executed, synchronously calculates the distance between the communication device transmitting the digital signal and the communication device receiving the digital signal, sets weights for the calculated distance and the corresponding hop count value of each path, and calculates the recommended value of each digital signal transmission path;
the calculation formula for calculating the recommended value of the digital signal transmission path is as follows:
wherein:
a recommended value for the digital signal transmission path; />
A weight for a distance between a communication device transmitting the digital signal and a communication device receiving the digital signal; m is the sending digital letterThe distance between the communication equipment of the number and the communication equipment for receiving the digital signal is in km; />
The weight of the corresponding hop count value of the path; p is a number value corresponding to the digital signal transmission path.
6. The improved method for millisecond-level deep timing based on the HPLC local communication module according to claim 5, wherein the step 3 is provided with a sub-step at a lower stage, and the method comprises the following steps:
step 31: confirming the optimal transmission path between communication devices according to the distance between the transmission paths of the digital signals and the hop numbers corresponding to the paths;
in the stage of sending digital signals to the target communication equipment, the communication equipment captures whether signal transmission paths exist in the target communication equipment and other communication equipment contained in the sub-topology image where the communication equipment is located, if so, the recommended value of the captured transmission paths is calculated, a group of transmission paths with the highest recommended value is selected and provided for the current communication equipment, and the current communication equipment forwards the digital signals to be sent to the communication equipment which belongs to the sub-topology image in the transmission path with the highest recommended value; if not, the digital signal transmission is performed by using the best transmission path confirmed in step 31, and step 31 confirms the recommended value of each digital signal transmission path when confirming the best transmission path of the communication device.
7. The improved method for millisecond-level deep time service based on the HPLC local communication module according to claim 1, wherein the communication area deploys network real-time transmission frequency of 800Mbps, the digital signal transmission frequency set in the step 4 is manually edited and set by the user side, the digital signal transmission frequency can be set to be 500 kb/s-2 mb/s, the digital signal sizes of the sub-packets in the step 4 are equal, and the digital signal sub-packets are closest to the set digital signal transmission frequency in the state that the digital signal is equally divided.
8. The improved method for millisecond-level deep timing based on the HPLC local communication module according to claim 1, wherein the CLK clock frequency of the communication device in step 5 is calculated by the following formula:
；
wherein: n is the nth monitoring period; i is the number of digital signals; n (N) i Metering the aggregate value for the data of the i digital signals;
in step 5, the period of monitoring the CLK clock frequency is set by manual editing by the user terminal, and when the CLK clock frequency is monitored, the detected CLK clock frequency is recorded synchronously, and the CLK clock frequency is further applied to perform priority transmission setting on the digital signal.
9. The improved method for millisecond-level deep timing based on HPLC local communication module of claim 8, wherein when n reaches 100, the digital signals received in all communication devices are backed up and reset.
10. The improved method for millisecond-level deep timing based on HPLC local communication module of claim 1, wherein in step 6, after all digital signals are received and read in packets, the communication device receiving the digital signals stores the complete digital signals.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2278749A1 (en) * | 2009-07-09 | 2011-01-26 | Hochschule Rhein Main University of Applied Sciences | Serial multi-clock interface system |
| CN112866098A (en) * | 2020-12-31 | 2021-05-28 | 泰康保险集团股份有限公司 | Gateway time service method, device, electronic equipment and computer readable medium |
| WO2022126436A1 (en) * | 2020-12-16 | 2022-06-23 | 深圳市大疆创新科技有限公司 | Delay detection method and apparatus, system, movable platform, and storage medium |
-
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2278749A1 (en) * | 2009-07-09 | 2011-01-26 | Hochschule Rhein Main University of Applied Sciences | Serial multi-clock interface system |
| WO2022126436A1 (en) * | 2020-12-16 | 2022-06-23 | 深圳市大疆创新科技有限公司 | Delay detection method and apparatus, system, movable platform, and storage medium |
| CN112866098A (en) * | 2020-12-31 | 2021-05-28 | 泰康保险集团股份有限公司 | Gateway time service method, device, electronic equipment and computer readable medium |
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