CN111698321A - Internet of things equipment data synchronization method and device and control center - Google Patents
Internet of things equipment data synchronization method and device and control center Download PDFInfo
- Publication number
- CN111698321A CN111698321A CN202010530469.1A CN202010530469A CN111698321A CN 111698321 A CN111698321 A CN 111698321A CN 202010530469 A CN202010530469 A CN 202010530469A CN 111698321 A CN111698321 A CN 111698321A
- Authority
- CN
- China
- Prior art keywords
- node
- target
- things equipment
- internet
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
Landscapes
- Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Probability & Statistics with Applications (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention discloses a data synchronization method and device for Internet of things equipment and a control center. When the scheme is applied, multiple groups of equipment state data of the target Internet of things equipment in a preset time period are identified, then the target state attribute matched with the equipment state data of each group is determined, the target equipment state data are sequenced, further, the matching degree between the node position information in the sequence list and the node position information in the state data structure information is determined, and the matched node position information is gathered into the corresponding state data structure information. And clustering the position information of each node in the current sequence list, and summarizing the characteristic values of node clustering to obtain a node position list. And determining the response delay of the target Internet of things equipment based on the node position list, and receiving and synchronizing the service data uploaded by the target Internet of things equipment according to the response delay. By the design, data can be effectively uploaded to the control center and synchronously updated.
Description
Technical Field
The disclosure relates to the technical field of data synchronization, and in particular relates to a data synchronization method and device for internet of things equipment and a control center.
Background
With the rapid development of the internet of things, the internet of things is applied to various industries, and in many applications, various types of internet of things equipment have the capabilities of interconnection and intercommunication and cloud connection.
Under a general condition, the internet of things equipment and the control center need to be connected, and then data generated when the internet of things equipment operates is sent to the control center to be stored, and in the data sending process, data uploaded to the control center are not completely and synchronously updated due to unstable networks, abnormal network environments where the internet of things equipment is located or power failure of the internet of things equipment.
Disclosure of Invention
In order to solve the technical problems in the related art, the invention provides a data synchronization method and device for equipment of the Internet of things and a control center.
The invention provides a data synchronization method for Internet of things equipment, which is applied to a control center, wherein the control center is communicated with a plurality of Internet of things equipment, and the method comprises the following steps:
when a data uploading request is detected, identifying multiple groups of equipment state data of target Internet of things equipment corresponding to the data uploading request in a preset time period, and recording the state attribute of an equipment state track corresponding to each group of equipment state data;
when determining that target state attributes matched with the set attributes exist in each set of equipment state data, sequencing the target equipment state data corresponding to the target state attributes according to the magnitude sequence of the attribute weights corresponding to the target state attributes to obtain a state data sequencing sequence corresponding to the target Internet of things equipment;
acquiring sequence nodes of the state data sequencing sequence and node position information corresponding to the sequence nodes;
determining state data structure information corresponding to the state data sorting sequence according to the sequence nodes, determining the matching degree between node position information under the sequence list of the state data sorting sequence and node position information in the state data structure information corresponding to the state data sorting sequence according to node position information corresponding to the state data structure information of the target Internet of things equipment and the node type of the state data structure information, and summarizing the node position information under the sequence list of the state data sorting sequence, which is matched with the node position information corresponding to the state data structure information, into corresponding state data structure information;
under the condition that a plurality of node position information is contained in the current sequence list of the state data sorting sequence, determining the matching degree of the node position information in the current sequence list of the state data sorting sequence according to the node position information and the node type thereof corresponding to the state data structure information of the target Internet of things equipment, and clustering the node position information in the current sequence list according to the matching degree of the node position information to obtain a node clustering characteristic value;
summarizing the node clustering characteristic values according to node position information corresponding to the state data structure information of the target Internet of things equipment and node types of the node position information to obtain a node position list;
determining the response delay of the target Internet of things equipment according to the node position list, receiving the service data uploaded by the target Internet of things equipment according to the response delay and synchronizing; the target Internet of things equipment is multiple.
In an alternative embodiment, summarizing the node clustering characteristic values according to node location information corresponding to the state data structure information of the target internet of things device and node types thereof to obtain a node location list, specifically including:
determining a characteristic curve graph corresponding to the node clustering characteristic value and a category attribute of the node clustering characteristic value, wherein the category attribute represents whether the node clustering characteristic value belongs to a category attribute in a preset attribute set;
performing characteristic value preprocessing on the node clustering characteristic values based on the characteristic curve graph to obtain target characteristic values corresponding to the node clustering characteristic values;
carrying out characteristic value classification on the node clustering characteristic values and the target characteristic values to obtain different serialized current point clustering characteristic values corresponding to the node clustering characteristic values and different serialized current point clustering characteristic values corresponding to the target characteristic values;
filtering the clustering characteristic values of the current points with different serialization according to a set filtering mode to obtain a characteristic value general table;
acquiring target node clustering characteristic values to be summarized, preprocessing the target node clustering characteristic values, adding the preprocessed characteristic values into a characteristic value general table, and performing redundancy processing on the preprocessed characteristic values according to category attributes in a preset attribute set by using the current point clustering characteristic values which are serialized differently in the characteristic value general table to obtain key characteristic values respectively corresponding to the preprocessed characteristic values;
and under the condition that the target node clustering characteristic values to be summarized corresponding to the key characteristic values meet preset summarizing conditions, summarizing the target node clustering characteristic values according to node position information and node types corresponding to the state data structure information of the target Internet of things equipment to obtain a node position list.
In an alternative embodiment, determining a response delay of the target internet of things device according to the node location list specifically includes:
determining a to-be-processed parameter corresponding to a target node of a node position list and a to-be-processed coded segment of the target node, wherein the to-be-processed coded segment represents a coded identifier of the target node of the node position list; the code segment to be processed at least comprises: a primary coded identifier and a secondary coded identifier representing a target node of the node location list;
acquiring a coding reference graph corresponding to the parameter to be processed, wherein the coding reference graph comprises a coding feature vector corresponding to a coding reference graph extracted in advance, and the coding feature vector corresponding to the coding reference graph represents a coding identifier of a target node which is located in the coding reference graph and corresponds to the parameter to be processed; the coding feature vector corresponding to the coding reference picture at least comprises: a primary code identifier and a secondary code identifier representing a target node in the code reference map corresponding to the code identifier contained in the code reference map;
according to the parameters to be processed and the coded segments to be processed, response delay time values corresponding to the target Internet of things equipment matched with the node position list are searched in the coded reference graph, and response delay of the target Internet of things equipment is determined according to the response delay time values.
In an alternative embodiment, clustering the position information of each node in the current sequence list according to the matching degree between the position information of the nodes to obtain a node clustering characteristic value specifically includes:
determining node classification characteristics corresponding to node position information under a current sequence list, wherein the node position information comprises node path information and node running tracks;
judging whether the node running track is in a running track range corresponding to the node path information or not based on the node classification characteristics, and searching a track coefficient corresponding to the node running track in a preset track trend unit; the track trend unit comprises a dependency relationship between a running track and a track coefficient;
and based on the track coefficient corresponding to the node running track and the matching degree between the node position information, performing clustering data extraction on the node position information in the current sequence list to obtain a clustering data characteristic vector, and performing clustering processing on the clustering data characteristic vector according to preset clustering processing conditions to obtain a node clustering characteristic value.
In an alternative embodiment, receiving and synchronizing service data uploaded by a target internet of things device according to response delay specifically includes:
identifying the uploading rate of the service data uploaded by the target Internet of things equipment to obtain a rate value corresponding to the target Internet of things equipment;
performing data flow test on service data to obtain a data flow test value corresponding to the service data; judging whether the target speed value of the target Internet of things equipment is consistent with the data traffic test value of the service data or not according to the speed value and the data traffic test value; if the judgment result is that the target speed value of the target internet of things equipment is inconsistent with the data traffic test value of the service data, optimizing the target speed value corresponding to the target internet of things equipment and the data traffic test value according to response delay;
and if the judgment result shows that the target speed value of the target Internet of things equipment is consistent with the data flow test value of the service data, receiving the service data uploaded by the target Internet of things equipment according to response delay and synchronizing.
The invention also provides a data synchronization device for the Internet of things equipment, which is applied to a control center, wherein the control center is communicated with a plurality of Internet of things equipment, and the device comprises:
the attribute recording module is used for identifying multiple groups of equipment state data of the target Internet of things equipment corresponding to the data uploading request in a preset time period and recording the state attribute of the equipment state track corresponding to each group of equipment state data when the data uploading request is detected;
the data sorting module is used for sorting the target equipment state data corresponding to the target state attribute according to the magnitude sequence of the attribute weight corresponding to the target state attribute when the target state attribute matched with the set attribute exists in each group of equipment state data, so as to obtain a state data sorting sequence corresponding to the target Internet of things equipment;
the node acquisition module is used for acquiring sequence nodes of the state data sequencing sequence and node position information corresponding to the sequence nodes;
the information summarizing module is used for determining state data structure information corresponding to the state data sorting sequence according to the sequence nodes, determining the matching degree between node position information under the sequence list of the state data sorting sequence and node position information in the state data structure information corresponding to the state data sorting sequence according to the node position information corresponding to the state data structure information of the target Internet of things equipment and the node type of the state data structure information, and summarizing the node position information under the sequence list of the state data sorting sequence, which is matched with the node position information corresponding to the state data structure information, into the corresponding state data structure information;
the node clustering module is used for determining the matching degree of the node position information under the current sequence list of the state data sequencing sequence according to the node position information and the node type thereof corresponding to the state data structure information of the target Internet of things equipment under the condition that the current sequence list of the state data sequencing sequence contains a plurality of node position information, and clustering the node position information under the current sequence list according to the matching degree of the node position information to obtain a node clustering characteristic value;
the list acquisition module is used for summarizing the node clustering characteristic values according to the node position information corresponding to the state data structure information of the target Internet of things equipment and the node types of the node position information to obtain a node position list;
the data uploading module is used for determining the response delay of the target Internet of things equipment according to the node position list, receiving the service data uploaded by the target Internet of things equipment according to the response delay and synchronizing the service data; the target Internet of things equipment is multiple.
In an alternative embodiment, the manifest obtaining module is specifically configured to:
determining a characteristic curve graph corresponding to the node clustering characteristic value and a category attribute of the node clustering characteristic value, wherein the category attribute represents whether the node clustering characteristic value belongs to a category attribute in a preset attribute set;
performing characteristic value preprocessing on the node clustering characteristic values based on the characteristic curve graph to obtain target characteristic values corresponding to the node clustering characteristic values;
carrying out characteristic value classification on the node clustering characteristic values and the target characteristic values to obtain different serialized current point clustering characteristic values corresponding to the node clustering characteristic values and different serialized current point clustering characteristic values corresponding to the target characteristic values;
filtering the clustering characteristic values of the current points with different serialization according to a set filtering mode to obtain a characteristic value general table;
acquiring target node clustering characteristic values to be summarized, preprocessing the target node clustering characteristic values, adding the preprocessed characteristic values into a characteristic value general table, and performing redundancy processing on the preprocessed characteristic values according to category attributes in a preset attribute set by using the current point clustering characteristic values which are serialized differently in the characteristic value general table to obtain key characteristic values respectively corresponding to the preprocessed characteristic values;
and under the condition that the target node clustering characteristic values to be summarized corresponding to the key characteristic values meet preset summarizing conditions, summarizing the target node clustering characteristic values according to node position information and node types corresponding to the state data structure information of the target Internet of things equipment to obtain a node position list.
In an alternative embodiment, the data uploading module is specifically configured to:
determining a to-be-processed parameter corresponding to a target node of a node position list and a to-be-processed coded segment of the target node, wherein the to-be-processed coded segment represents a coded identifier of the target node of the node position list; the code segment to be processed at least comprises: a primary coded identifier and a secondary coded identifier representing a target node of the node location list;
acquiring a coding reference graph corresponding to the parameter to be processed, wherein the coding reference graph comprises a coding feature vector corresponding to a coding reference graph extracted in advance, and the coding feature vector corresponding to the coding reference graph represents a coding identifier of a target node which is located in the coding reference graph and corresponds to the parameter to be processed; the coding feature vector corresponding to the coding reference picture at least comprises: a primary code identifier and a secondary code identifier representing a target node in the code reference map corresponding to the code identifier contained in the code reference map;
according to the parameters to be processed and the coded segments to be processed, response delay time values corresponding to the target Internet of things equipment matched with the node position list are searched in the coded reference graph, and response delay of the target Internet of things equipment is determined according to the response delay time values.
In an alternative embodiment, the data uploading module may be further configured to:
identifying the uploading rate of the service data uploaded by the target Internet of things equipment to obtain a rate value corresponding to the target Internet of things equipment;
performing data flow test on service data to obtain a data flow test value corresponding to the service data; judging whether the target speed value of the target Internet of things equipment is consistent with the data traffic test value of the service data or not according to the speed value and the data traffic test value; if the judgment result is that the target speed value of the target internet of things equipment is inconsistent with the data traffic test value of the service data, optimizing the target speed value corresponding to the target internet of things equipment and the data traffic test value according to response delay;
and if the judgment result shows that the target speed value of the target Internet of things equipment is consistent with the data flow test value of the service data, receiving the service data uploaded by the target Internet of things equipment according to response delay and synchronizing.
The invention also provides a control center, which comprises a processor, a memory and a bus, wherein the memory and the bus are connected with the processor; wherein, the processor and the memory complete mutual communication through the bus; the processor is configured to call program instructions in the memory to perform any of the methods described above.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects.
The invention provides a method, a device and a control center for synchronizing data of Internet of things equipment, wherein the state attribute of an equipment state track is obtained by identifying multiple groups of equipment state data of target Internet of things equipment in a preset time period, and then when the target state attribute matched with the set attribute exists in each group of equipment state data, the target equipment state data is sequenced to obtain a state data sequencing sequence, further, the matching degree between node position information in a sequence list of the state data sequencing sequence and node position information in state data structure information corresponding to the state data sequencing sequence is determined, and the matched node position information is gathered into corresponding state data structure information. Further, clustering is carried out on the node position information in the current sequence list, the obtained node clustering characteristic values are collected, a node position list is obtained, further, the response delay of the target Internet of things equipment is determined based on the node position list, and the service data uploaded by the target Internet of things equipment is received according to the response delay and is synchronized. By the design, data can be effectively uploaded to the control center and synchronously updated.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
Fig. 1 is a schematic communication connection diagram of an internet of things device data synchronization system according to an embodiment of the present invention.
Fig. 2 is a flowchart of a data synchronization method for internet of things devices according to an embodiment of the present invention.
Fig. 3 is a block diagram of an internet of things device data synchronization apparatus according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of a hardware structure of a control center according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Fig. 1 shows a schematic view of a data synchronization system 100 of an internet of things device, where the data synchronization system 100 of the internet of things device includes a control center 200 and a plurality of internet of things devices 300, where the control center 200 is in communication with the internet of things devices 300, in this embodiment, the control center 200 may be a cloud server, and the internet of things devices 300 may be smart devices with communication functions, such as a mobile phone and a tablet.
Fig. 2 is a flowchart of a data synchronization method for devices in the internet of things according to the present disclosure, which may be applied to the control center 200 in fig. 1, and the method may include the following.
Step S310, when a data uploading request is detected, a plurality of groups of device state data of the target Internet of things device corresponding to the data uploading request in a preset time period are identified, and the state attribute of the device state track corresponding to each group of device state data is recorded.
Step S320, when it is determined that a target state attribute matching the set attribute exists in each group of device state data, sorting the target device state data corresponding to the target state attribute according to the magnitude order of the attribute weight corresponding to the target state attribute, so as to obtain a state data sorting sequence corresponding to the target internet of things device.
Step S330, acquiring the sequence nodes of the state data sequencing sequence and the node position information corresponding to the sequence nodes.
Step S340, determining, according to the sequence node, state data structure information corresponding to the state data sorting sequence, determining, according to node position information corresponding to the state data structure information of the target internet of things device and a node type thereof, a matching degree between node position information in the sequence list of the state data sorting sequence and node position information in the state data structure information corresponding to the state data sorting sequence, and summarizing the node position information in the sequence list of the state data sorting sequence, which is matched with the node position information corresponding to the state data structure information, into corresponding state data structure information.
Step S350, under the condition that a plurality of node position information is contained in the current sequence list of the state data sorting sequence, determining the matching degree of the node position information in the current sequence list of the state data sorting sequence according to the node position information corresponding to the state data structure information of the target Internet of things equipment and the node type of the node position information, and clustering the node position information in the current sequence list according to the matching degree of the node position information to obtain a node clustering characteristic value;
and step S360, summarizing the node clustering characteristic values according to the node position information corresponding to the state data structure information of the target Internet of things equipment and the node types thereof to obtain a node position list.
Step S370, determining response delay of the target Internet of things equipment according to the node position list, receiving service data uploaded by the target Internet of things equipment according to the response delay and synchronizing; the target Internet of things equipment is multiple.
By executing the steps S310 to S370, obtaining the state attribute of the device state track by identifying multiple sets of device state data of the target internet of things device in a preset time period, further determining that there is a target state attribute matching the set attribute in each set of device state data, sorting the target device state data to obtain a state data sorting sequence, further determining the matching degree between the node position information in the sequence list of the state data sorting sequence and the node position information in the state data structure information corresponding to the state data sorting sequence, and summarizing the matched node position information into the corresponding state data structure information. Further, clustering is carried out on the node position information in the current sequence list, the obtained node clustering characteristic values are collected, a node position list is obtained, further, the response delay of the target Internet of things equipment is determined based on the node position list, and the service data uploaded by the target Internet of things equipment is received according to the response delay and is synchronized. By the design, data can be effectively uploaded to the control center and synchronously updated.
In practical implementation, in order to quickly and accurately summarize the node location list, the content described in step S360 may specifically include the following sub-steps.
Step S3601, determining a characteristic curve graph corresponding to the node clustering characteristic value and a category attribute of the node clustering characteristic value, wherein the category attribute represents whether the node clustering characteristic value belongs to a category attribute in a preset attribute set.
And S3602, performing characteristic value preprocessing on the node clustering characteristic values based on the characteristic curve graph to obtain target characteristic values corresponding to the node clustering characteristic values.
Step S3603, the feature value classification is carried out on the node clustering feature value and the target feature value, and different serialized current point clustering feature values corresponding to the node clustering feature value and different serialized current point clustering feature values corresponding to the target feature value are obtained.
And step S3604, filtering the current point clustering characteristic values with different serialization according to a set filtering mode to obtain a characteristic value summary table.
Step S3605, obtaining target node clustering characteristic values to be summarized, preprocessing the target node clustering characteristic values, adding the preprocessed characteristic values obtained through preprocessing into a characteristic value general table, and performing redundancy processing on the preprocessed characteristic values according to category attributes in a preset attribute set through the current point clustering characteristic values serialized in the characteristic value general table to obtain key characteristic values respectively corresponding to the preprocessed characteristic values.
And step S3606, under the condition that the target node clustering eigenvalues to be summarized corresponding to the key eigenvalues meet preset summarizing conditions, summarizing the target node clustering eigenvalues according to node position information and node types corresponding to the state data structure information of the target Internet of things equipment to obtain a node position list.
By executing the steps S3601-S3606, the node clustering characteristic values are subjected to characteristic value preprocessing based on the characteristic curve graph to obtain target characteristic values, then the node clustering characteristic values and the target characteristic values are classified, the obtained current point clustering characteristic values with different serialization are filtered to obtain a characteristic value summary table, the target node clustering characteristic values to be summarized are further obtained, and the key characteristic values are obtained after the target node clustering characteristic values are subjected to preprocessing and redundancy processing. Furthermore, under the condition that the target node clustering characteristic values to be summarized corresponding to the key characteristic values meet preset summarizing conditions, summarizing the target node clustering characteristic values to obtain a node position list. Therefore, the target node clustering characteristic values are collected under the condition of meeting the conditions, and the node position list can be quickly and accurately collected.
In practical implementation, in most cases, because the network problem makes it impossible to upload the large-scale data to the control center for synchronous update at the same time, in order to solve the above problem, what is described in step S370 may specifically include the following sub-steps.
Step 3701, determining a to-be-processed parameter corresponding to a target node of a node location list and a to-be-processed coded segment of the target node, where the to-be-processed coded segment represents a coded identifier of the target node of the node location list; the code segment to be processed at least comprises: a primary coded identifier and a secondary coded identifier representing a target node of the node location list.
Step 3702, acquiring a coding reference map corresponding to the parameter to be processed, where the coding reference map includes a coding feature vector corresponding to a coding reference map extracted in advance, and the coding feature vector corresponding to the coding reference map represents a coding identifier of a target node located in the coding reference map and corresponding to the parameter to be processed; the coding feature vector corresponding to the coding reference picture at least comprises: and a primary code identifier and a secondary code identifier which represent target nodes corresponding to the code identifiers contained in the code reference map.
Step 3703, searching a response delay time value corresponding to the target internet of things device matched with the node position list in the coded reference map according to the to-be-processed parameter and the to-be-processed coded segment, and determining a response delay of the target internet of things device according to the response delay time value.
By executing the steps S3701 to S3703, the to-be-processed parameter corresponding to the target node of the node position list and the to-be-processed coded segment of the target node are determined, a response delay time value matched with the node position list is searched in the coded reference map based on the to-be-processed parameter and the to-be-processed coded segment, and then the response delay of the target internet of things device is determined according to the response delay time value. Therefore, the response of the Internet of things equipment can be delayed, and further, the large-scale data can be uploaded to the control center for synchronous updating.
In practical implementation, in order to reduce the time for synchronizing the service data, improve the synchronization efficiency of the service data, and improve the synchronization accuracy of the service data, the content described in step S370 may further include the following sub-steps.
Step 3704, identifying the uploading rate of the service data uploaded by the target internet of things device to obtain a rate value corresponding to the target internet of things device.
Step 3705, performing a data traffic test on the service data to obtain a data traffic test value corresponding to the service data; judging whether the target speed value of the target Internet of things equipment is consistent with the data traffic test value of the service data or not according to the speed value and the data traffic test value; and if the judgment result shows that the target speed value of the target Internet of things equipment is inconsistent with the data traffic test value of the service data, optimizing the target speed value corresponding to the target Internet of things equipment and the data traffic test value according to response delay.
Step 3706, if the determination result is that the target rate value of the target internet of things device is consistent with the data traffic test value of the service data, receiving the service data uploaded by the target internet of things device according to the response delay and synchronizing the service data.
Through executing the steps S3704-S3706, the uploading rate of the service data uploaded by the target Internet of things device is identified, and a rate value is obtained. And further carrying out data flow test on the service data to obtain a data flow test value, and further judging whether the speed value is consistent with the data flow test value of the service data. And if the data traffic test values are not consistent, optimizing the rate value and the data traffic test value, and if the data traffic test values are consistent, receiving the service data uploaded by the target Internet of things equipment according to response delay and synchronizing the service data. By the design, the time for synchronizing the service data can be shortened, the synchronization efficiency of the service data is improved, and the synchronization accuracy of the service data is improved.
In practical implementation, in order to reduce the difficulty of clustering the nodes and shorten the clustering time, the content described in step S350 may further include the following sub-steps.
Step S3501, determining node classification characteristics corresponding to each node position information in the current sequence list, wherein each node position information comprises node path information and a node running track.
Step S3502, judging whether the node running track is in a running track range corresponding to the node path information or not based on the node classification characteristics, and searching a track coefficient corresponding to the node running track in a preset track trend unit; the track trend unit comprises a dependency relationship between the running track and a track coefficient.
Step S3503, based on the track coefficient corresponding to the node running track and the matching degree between the node position information, cluster data extraction is carried out on the node position information under the current sequence list to obtain cluster data characteristic vectors, and the cluster data characteristic vectors are clustered according to preset cluster processing conditions to obtain node cluster characteristic values.
By executing the steps S3501 to S3503, the classification features of the nodes corresponding to the position information of each node in the current sequence list are determined, the position information of each node in the current sequence list is subjected to cluster data extraction based on the matching degree between the position information of the track coefficient nodes, and the obtained feature vectors of the cluster data are subjected to cluster processing according to preset cluster processing conditions to obtain the cluster feature values of the nodes. Therefore, by extracting the clustering data and clustering the clustering data according to the preset clustering conditions, the difficulty of clustering the nodes can be reduced, and the clustering time is further shortened.
On the basis, please refer to fig. 3 in combination, the invention provides an internet of things device data synchronization apparatus 300, which is applied to a control center, wherein the control center is in communication with a plurality of internet of things devices, and the apparatus may specifically include the following functional modules.
The attribute recording module 310 is configured to, when a data upload request is detected, identify multiple sets of device state data of the target internet of things device corresponding to the data upload request in a preset time period, and record state attributes of device state tracks corresponding to the sets of device state data.
The data sorting module 320 is configured to, when it is determined that a target state attribute matching a set attribute exists in each group of device state data, sort the target device state data corresponding to the target state attribute according to the magnitude order of the attribute weight corresponding to the target state attribute, and obtain a state data sorting sequence corresponding to the target internet of things device.
The node obtaining module 330 is configured to obtain a sequence node of the status data sorting sequence and node position information corresponding to the sequence node.
The information summarizing module 340 is configured to determine, according to the sequence node, status data structure information corresponding to the status data sorting sequence, determine, according to node location information corresponding to the status data structure information of the target internet of things device and a node type thereof, a matching degree between node location information in a sequence list of the status data sorting sequence and node location information in the status data structure information corresponding to the status data sorting sequence, and summarize, in the sequence list of the status data sorting sequence, node location information that matches the node location information corresponding to the status data structure information into corresponding status data structure information.
And a node clustering module 350, configured to determine, when the current sequence list of the state data sorting sequence includes multiple pieces of node location information, a matching degree between pieces of node location information in the current sequence list of the state data sorting sequence according to the pieces of node location information corresponding to the state data structure information of the target internet of things device and node types thereof, and cluster the pieces of node location information in the current sequence list according to the matching degree between pieces of node location information to obtain a node clustering characteristic value.
The list obtaining module 360 is configured to collect the node clustering characteristic values according to the node location information and the node type thereof corresponding to the state data structure information of the target internet of things device, so as to obtain a node location list.
The data uploading module 370 is configured to determine a response delay of the target internet of things device according to the node position list, receive service data uploaded by the target internet of things device according to the response delay, and perform synchronization; the target Internet of things equipment is multiple.
In an alternative embodiment, the manifest obtaining module 360 is specifically configured to:
and determining a characteristic curve graph corresponding to the node clustering characteristic value and the category attribute of the node clustering characteristic value, wherein the category attribute represents whether the node clustering characteristic value belongs to the category attribute in a preset attribute set.
And preprocessing the characteristic value of the node clustering characteristic value based on the characteristic curve graph to obtain a target characteristic value corresponding to the node clustering characteristic value.
And classifying the characteristic values of the node clustering characteristic values and the target characteristic values to obtain different serialized current point clustering characteristic values corresponding to the node clustering characteristic values and different serialized current point clustering characteristic values corresponding to the target characteristic values.
And filtering the clustering characteristic values of the current points with different serialization according to a set filtering mode to obtain a characteristic value general table.
The method comprises the steps of obtaining target node clustering characteristic values to be summarized, preprocessing the target node clustering characteristic values, adding the preprocessed characteristic values obtained through preprocessing into a characteristic value general table, and performing redundancy processing on the preprocessed characteristic values according to category attributes in a preset attribute set through the current point clustering characteristic values which are serialized in the characteristic value general table to obtain key characteristic values corresponding to the preprocessed characteristic values respectively.
And under the condition that the target node clustering characteristic values to be summarized corresponding to the key characteristic values meet preset summarizing conditions, summarizing the target node clustering characteristic values according to node position information and node types corresponding to the state data structure information of the target Internet of things equipment to obtain a node position list.
In an alternative embodiment, the data uploading module 370 is specifically configured to:
determining a to-be-processed parameter corresponding to a target node of a node position list and a to-be-processed coded segment of the target node, wherein the to-be-processed coded segment represents a coded identifier of the target node of the node position list; the code segment to be processed at least comprises: a primary coded identifier and a secondary coded identifier representing a target node of the node location list.
Acquiring a coding reference graph corresponding to the parameter to be processed, wherein the coding reference graph comprises a coding feature vector corresponding to a coding reference graph extracted in advance, and the coding feature vector corresponding to the coding reference graph represents a coding identifier of a target node which is located in the coding reference graph and corresponds to the parameter to be processed; the coding feature vector corresponding to the coding reference picture at least comprises: and a primary code identifier and a secondary code identifier which represent target nodes corresponding to the code identifiers contained in the code reference map.
According to the parameters to be processed and the coded segments to be processed, response delay time values corresponding to the target Internet of things equipment matched with the node position list are searched in the coded reference graph, and response delay of the target Internet of things equipment is determined according to the response delay time values.
In an alternative embodiment, the data uploading module 370 may further be configured to:
and identifying the uploading rate of the service data uploaded by the target Internet of things equipment to obtain a rate value corresponding to the target Internet of things equipment.
Performing data flow test on service data to obtain a data flow test value corresponding to the service data; judging whether the target speed value of the target Internet of things equipment is consistent with the data traffic test value of the service data or not according to the speed value and the data traffic test value; and if the judgment result shows that the target speed value of the target Internet of things equipment is inconsistent with the data traffic test value of the service data, optimizing the target speed value corresponding to the target Internet of things equipment and the data traffic test value according to response delay.
And if the judgment result shows that the target speed value of the target Internet of things equipment is consistent with the data flow test value of the service data, receiving the service data uploaded by the target Internet of things equipment according to response delay and synchronizing.
On the basis of the above, please refer to fig. 4 in combination, which provides a control center 200, including a processor 211, a memory 212 and a bus 213 connected to the processor 211; wherein, the processor 211 and the memory 212 complete the communication with each other through the bus 213; the processor 211 is configured to call the program instructions in the memory 212 to execute the above-mentioned method.
Further, a readable storage medium is provided, on which a program is stored, which when executed by a processor implements the method described above.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (10)
1. The data synchronization method for the Internet of things equipment is applied to a control center, the control center is communicated with a plurality of Internet of things equipment, and the method comprises the following steps:
when a data uploading request is detected, identifying multiple groups of equipment state data of target Internet of things equipment corresponding to the data uploading request in a preset time period, and recording the state attribute of an equipment state track corresponding to each group of equipment state data;
when determining that target state attributes matched with the set attributes exist in each set of equipment state data, sequencing the target equipment state data corresponding to the target state attributes according to the magnitude sequence of the attribute weights corresponding to the target state attributes to obtain a state data sequencing sequence corresponding to the target Internet of things equipment;
acquiring sequence nodes of the state data sequencing sequence and node position information corresponding to the sequence nodes;
determining state data structure information corresponding to the state data sorting sequence according to the sequence nodes, determining the matching degree between node position information under the sequence list of the state data sorting sequence and node position information in the state data structure information corresponding to the state data sorting sequence according to node position information corresponding to the state data structure information of the target Internet of things equipment and the node type of the state data structure information, and summarizing the node position information under the sequence list of the state data sorting sequence, which is matched with the node position information corresponding to the state data structure information, into corresponding state data structure information;
under the condition that a plurality of node position information is contained in the current sequence list of the state data sorting sequence, determining the matching degree of the node position information in the current sequence list of the state data sorting sequence according to the node position information and the node type thereof corresponding to the state data structure information of the target Internet of things equipment, and clustering the node position information in the current sequence list according to the matching degree of the node position information to obtain a node clustering characteristic value;
summarizing the node clustering characteristic values according to node position information corresponding to the state data structure information of the target Internet of things equipment and node types of the node position information to obtain a node position list;
determining the response delay of the target Internet of things equipment according to the node position list, receiving the service data uploaded by the target Internet of things equipment according to the response delay and synchronizing; the target Internet of things equipment is multiple.
2. The method for synchronizing data of internet of things equipment according to claim 1, wherein the node clustering feature values are summarized according to node location information corresponding to the state data structure information of the target internet of things equipment and node types thereof to obtain a node location list, and the method specifically comprises the following steps:
determining a characteristic curve graph corresponding to the node clustering characteristic value and a category attribute of the node clustering characteristic value, wherein the category attribute represents whether the node clustering characteristic value belongs to a category attribute in a preset attribute set;
performing characteristic value preprocessing on the node clustering characteristic values based on the characteristic curve graph to obtain target characteristic values corresponding to the node clustering characteristic values;
carrying out characteristic value classification on the node clustering characteristic values and the target characteristic values to obtain different serialized current point clustering characteristic values corresponding to the node clustering characteristic values and different serialized current point clustering characteristic values corresponding to the target characteristic values;
filtering the clustering characteristic values of the current points with different serialization according to a set filtering mode to obtain a characteristic value general table;
acquiring target node clustering characteristic values to be summarized, preprocessing the target node clustering characteristic values, adding the preprocessed characteristic values into a characteristic value general table, and performing redundancy processing on the preprocessed characteristic values according to category attributes in a preset attribute set by using the current point clustering characteristic values which are serialized differently in the characteristic value general table to obtain key characteristic values respectively corresponding to the preprocessed characteristic values;
and under the condition that the target node clustering characteristic values to be summarized corresponding to the key characteristic values meet preset summarizing conditions, summarizing the target node clustering characteristic values according to node position information and node types corresponding to the state data structure information of the target Internet of things equipment to obtain a node position list.
3. The method for synchronizing data of internet of things equipment according to claim 1, wherein determining the response delay of the target internet of things equipment according to the node location list specifically comprises:
determining a to-be-processed parameter corresponding to a target node of a node position list and a to-be-processed coded segment of the target node, wherein the to-be-processed coded segment represents a coded identifier of the target node of the node position list; the code segment to be processed at least comprises: a primary coded identifier and a secondary coded identifier representing a target node of the node location list;
acquiring a coding reference graph corresponding to the parameter to be processed, wherein the coding reference graph comprises a coding feature vector corresponding to a coding reference graph extracted in advance, and the coding feature vector corresponding to the coding reference graph represents a coding identifier of a target node which is located in the coding reference graph and corresponds to the parameter to be processed; the coding feature vector corresponding to the coding reference picture at least comprises: a primary code identifier and a secondary code identifier representing a target node in the code reference map corresponding to the code identifier contained in the code reference map;
according to the parameters to be processed and the coded segments to be processed, response delay time values corresponding to the target Internet of things equipment matched with the node position list are searched in the coded reference graph, and response delay of the target Internet of things equipment is determined according to the response delay time values.
4. The method for synchronizing data of internet of things equipment according to claim 1, wherein the node position information in the current sequence list is clustered according to the matching degree between the node position information to obtain a node clustering characteristic value, and the method specifically comprises the following steps:
determining node classification characteristics corresponding to node position information under a current sequence list, wherein the node position information comprises node path information and node running tracks;
judging whether the node running track is in a running track range corresponding to the node path information or not based on the node classification characteristics, and searching a track coefficient corresponding to the node running track in a preset track trend unit; the track trend unit comprises a dependency relationship between a running track and a track coefficient;
and based on the track coefficient corresponding to the node running track and the matching degree between the node position information, performing clustering data extraction on the node position information in the current sequence list to obtain a clustering data characteristic vector, and performing clustering processing on the clustering data characteristic vector according to preset clustering processing conditions to obtain a node clustering characteristic value.
5. The method for synchronizing data of internet of things equipment according to claim 1, wherein receiving and synchronizing service data uploaded by target internet of things equipment according to response delay comprises:
identifying the uploading rate of the service data uploaded by the target Internet of things equipment to obtain a rate value corresponding to the target Internet of things equipment;
performing data flow test on service data to obtain a data flow test value corresponding to the service data; judging whether the target speed value of the target Internet of things equipment is consistent with the data traffic test value of the service data or not according to the speed value and the data traffic test value; if the judgment result is that the target speed value of the target internet of things equipment is inconsistent with the data traffic test value of the service data, optimizing the target speed value corresponding to the target internet of things equipment and the data traffic test value according to response delay;
and if the judgment result shows that the target speed value of the target Internet of things equipment is consistent with the data flow test value of the service data, receiving the service data uploaded by the target Internet of things equipment according to response delay and synchronizing.
6. The utility model provides a thing networking device data synchronizer, its characterized in that is applied to the control center, the control center communicates with a plurality of thing networking devices, the device includes:
the attribute recording module is used for identifying multiple groups of equipment state data of the target Internet of things equipment corresponding to the data uploading request in a preset time period and recording the state attribute of the equipment state track corresponding to each group of equipment state data when the data uploading request is detected;
the data sorting module is used for sorting the target equipment state data corresponding to the target state attribute according to the magnitude sequence of the attribute weight corresponding to the target state attribute when the target state attribute matched with the set attribute exists in each group of equipment state data, so as to obtain a state data sorting sequence corresponding to the target Internet of things equipment;
the node acquisition module is used for acquiring sequence nodes of the state data sequencing sequence and node position information corresponding to the sequence nodes;
the information summarizing module is used for determining state data structure information corresponding to the state data sorting sequence according to the sequence nodes, determining the matching degree between node position information under the sequence list of the state data sorting sequence and node position information in the state data structure information corresponding to the state data sorting sequence according to the node position information corresponding to the state data structure information of the target Internet of things equipment and the node type of the state data structure information, and summarizing the node position information under the sequence list of the state data sorting sequence, which is matched with the node position information corresponding to the state data structure information, into the corresponding state data structure information;
the node clustering module is used for determining the matching degree of the node position information under the current sequence list of the state data sequencing sequence according to the node position information and the node type thereof corresponding to the state data structure information of the target Internet of things equipment under the condition that the current sequence list of the state data sequencing sequence contains a plurality of node position information, and clustering the node position information under the current sequence list according to the matching degree of the node position information to obtain a node clustering characteristic value;
the list acquisition module is used for summarizing the node clustering characteristic values according to the node position information corresponding to the state data structure information of the target Internet of things equipment and the node types of the node position information to obtain a node position list;
the data uploading module is used for determining the response delay of the target Internet of things equipment according to the node position list, receiving the service data uploaded by the target Internet of things equipment according to the response delay and synchronizing the service data; the target Internet of things equipment is multiple.
7. The internet of things device data synchronization device of claim 6, wherein the list acquisition module is specifically configured to:
determining a characteristic curve graph corresponding to the node clustering characteristic value and a category attribute of the node clustering characteristic value, wherein the category attribute represents whether the node clustering characteristic value belongs to a category attribute in a preset attribute set;
performing characteristic value preprocessing on the node clustering characteristic values based on the characteristic curve graph to obtain target characteristic values corresponding to the node clustering characteristic values;
carrying out characteristic value classification on the node clustering characteristic values and the target characteristic values to obtain different serialized current point clustering characteristic values corresponding to the node clustering characteristic values and different serialized current point clustering characteristic values corresponding to the target characteristic values;
filtering the clustering characteristic values of the current points with different serialization according to a set filtering mode to obtain a characteristic value general table;
acquiring target node clustering characteristic values to be summarized, preprocessing the target node clustering characteristic values, adding the preprocessed characteristic values into a characteristic value general table, and performing redundancy processing on the preprocessed characteristic values according to category attributes in a preset attribute set by using the current point clustering characteristic values which are serialized differently in the characteristic value general table to obtain key characteristic values respectively corresponding to the preprocessed characteristic values;
and under the condition that the target node clustering characteristic values to be summarized corresponding to the key characteristic values meet preset summarizing conditions, summarizing the target node clustering characteristic values according to node position information and node types corresponding to the state data structure information of the target Internet of things equipment to obtain a node position list.
8. The internet of things device data synchronization device of claim 6, wherein the data upload module is specifically configured to:
determining a to-be-processed parameter corresponding to a target node of a node position list and a to-be-processed coded segment of the target node, wherein the to-be-processed coded segment represents a coded identifier of the target node of the node position list; the code segment to be processed at least comprises: a primary coded identifier and a secondary coded identifier representing a target node of the node location list;
acquiring a coding reference graph corresponding to the parameter to be processed, wherein the coding reference graph comprises a coding feature vector corresponding to a coding reference graph extracted in advance, and the coding feature vector corresponding to the coding reference graph represents a coding identifier of a target node which is located in the coding reference graph and corresponds to the parameter to be processed; the coding feature vector corresponding to the coding reference picture at least comprises: a primary code identifier and a secondary code identifier representing a target node in the code reference map corresponding to the code identifier contained in the code reference map;
according to the parameters to be processed and the coded segments to be processed, response delay time values corresponding to the target Internet of things equipment matched with the node position list are searched in the coded reference graph, and response delay of the target Internet of things equipment is determined according to the response delay time values.
9. The data synchronization device for the internet of things equipment according to claim 6, wherein the data uploading module is further configured to:
identifying the uploading rate of the service data uploaded by the target Internet of things equipment to obtain a rate value corresponding to the target Internet of things equipment;
performing data flow test on service data to obtain a data flow test value corresponding to the service data; judging whether the target speed value of the target Internet of things equipment is consistent with the data traffic test value of the service data or not according to the speed value and the data traffic test value; if the judgment result is that the target speed value of the target internet of things equipment is inconsistent with the data traffic test value of the service data, optimizing the target speed value corresponding to the target internet of things equipment and the data traffic test value according to response delay;
and if the judgment result shows that the target speed value of the target Internet of things equipment is consistent with the data flow test value of the service data, receiving the service data uploaded by the target Internet of things equipment according to response delay and synchronizing.
10. A control center, comprising a processor, and a memory and a bus connected to the processor; wherein, the processor and the memory complete mutual communication through the bus; the processor is configured to call program instructions in the memory to perform the method of any of the preceding claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010530469.1A CN111698321A (en) | 2020-06-11 | 2020-06-11 | Internet of things equipment data synchronization method and device and control center |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010530469.1A CN111698321A (en) | 2020-06-11 | 2020-06-11 | Internet of things equipment data synchronization method and device and control center |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111698321A true CN111698321A (en) | 2020-09-22 |
Family
ID=72480397
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010530469.1A Withdrawn CN111698321A (en) | 2020-06-11 | 2020-06-11 | Internet of things equipment data synchronization method and device and control center |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111698321A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113703689A (en) * | 2021-10-26 | 2021-11-26 | 深圳金正方科技股份有限公司 | Data storage method and device for intelligent electric meter, intelligent electric meter and storage medium |
| CN117938916A (en) * | 2024-02-29 | 2024-04-26 | 中铁四局集团有限公司 | Intelligent scheduling method and system for Internet of things equipment based on big data |
| CN117938916B (en) * | 2024-02-29 | 2024-06-07 | 中铁四局集团有限公司 | Intelligent scheduling method and system for Internet of things equipment based on big data |
-
2020
- 2020-06-11 CN CN202010530469.1A patent/CN111698321A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113703689A (en) * | 2021-10-26 | 2021-11-26 | 深圳金正方科技股份有限公司 | Data storage method and device for intelligent electric meter, intelligent electric meter and storage medium |
| CN113703689B (en) * | 2021-10-26 | 2022-02-18 | 深圳金正方科技股份有限公司 | Data storage method and device for intelligent electric meter, intelligent electric meter and storage medium |
| CN117938916A (en) * | 2024-02-29 | 2024-04-26 | 中铁四局集团有限公司 | Intelligent scheduling method and system for Internet of things equipment based on big data |
| CN117938916B (en) * | 2024-02-29 | 2024-06-07 | 中铁四局集团有限公司 | Intelligent scheduling method and system for Internet of things equipment based on big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110401662B (en) | Industrial control equipment fingerprint identification method and storage medium | |
| EP3913997B1 (en) | Generating wireless network access point models using clustering techniques | |
| CN110061931B (en) | Industrial control protocol clustering method, device and system and computer storage medium | |
| CN112182007A (en) | Cloud computing data processing method based on artificial intelligence and artificial intelligence platform | |
| WO2020143181A1 (en) | Data storage method, apparatus, computer device and storage medium | |
| CN112764920A (en) | Edge application deployment method, device, equipment and storage medium | |
| CN106604253B (en) | Wireless networking method and system | |
| CN112115957A (en) | Data stream identification method and device and computer storage medium | |
| CN111460315B (en) | Community portrait construction method, device, equipment and storage medium | |
| CN114265927A (en) | Data query method and device, storage medium and electronic device | |
| CN111698321A (en) | Internet of things equipment data synchronization method and device and control center | |
| CN106528345B (en) | Automatic node hard disk recovery method based on cloud platform | |
| CN113727348B (en) | Method, device, system and storage medium for detecting user data of User Equipment (UE) | |
| CN112215287B (en) | Multi-section clustering method and device based on distance, storage medium and electronic device | |
| CN116821777B (en) | Novel basic mapping data integration method and system | |
| CN113259470A (en) | Data synchronization method and data synchronization system | |
| CN106533728A (en) | Server information collecting method and apparatus | |
| CN106649678B (en) | Data processing method and system | |
| CN113472640B (en) | Intelligent gateway information processing method and system | |
| CN116233148A (en) | Cloud edge data synchronization method, system, device and computer storage medium | |
| CN115913730A (en) | Information processing method, device, equipment and storage medium based on Internet of things equipment | |
| CN113297274B (en) | Signing data query method and system | |
| CN110493058B (en) | Method and device for constructing network topology structure, storage medium and terminal | |
| CN112269879B (en) | Method and equipment for analyzing middle station log based on k-means algorithm | |
| CN113312364A (en) | Smart cloud service updating method based on block chain and block chain service system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20200922 |
|
| WW01 | Invention patent application withdrawn after publication |