CN112559252B - Configuration data management method and device based on attribute classification - Google Patents

Configuration data management method and device based on attribute classification Download PDF

Info

Publication number
CN112559252B
CN112559252B CN202011548726.0A CN202011548726A CN112559252B CN 112559252 B CN112559252 B CN 112559252B CN 202011548726 A CN202011548726 A CN 202011548726A CN 112559252 B CN112559252 B CN 112559252B
Authority
CN
China
Prior art keywords
data
independent
configuration
common
electric meter
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.)
Active
Application number
CN202011548726.0A
Other languages
Chinese (zh)
Other versions
CN112559252A (en
Inventor
温文坤
王鑫
李玮棠
林英喜
陈杰文
郑凛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Jixiang Technology Co Ltd
Original Assignee
Guangzhou Jixiang Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Guangzhou Jixiang Technology Co Ltd filed Critical Guangzhou Jixiang Technology Co Ltd
Priority to CN202011548726.0A priority Critical patent/CN112559252B/en
Publication of CN112559252A publication Critical patent/CN112559252A/en
Application granted granted Critical
Publication of CN112559252B publication Critical patent/CN112559252B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/14Error detection or correction of the data by redundancy in operation
    • G06F11/1402Saving, restoring, recovering or retrying
    • G06F11/1446Point-in-time backing up or restoration of persistent data
    • G06F11/1448Management of the data involved in backup or backup restore
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/07Responding to the occurrence of a fault, e.g. fault tolerance
    • G06F11/14Error detection or correction of the data by redundancy in operation
    • G06F11/1402Saving, restoring, recovering or retrying
    • G06F11/1446Point-in-time backing up or restoration of persistent data
    • G06F11/1458Management of the backup or restore process
    • G06F11/1464Management of the backup or restore process for networked environments
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/602Providing cryptographic facilities or services
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/62Protecting access to data via a platform, e.g. using keys or access control rules
    • G06F21/6218Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/64Protecting data integrity, e.g. using checksums, certificates or signatures
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y10/00Economic sectors
    • G16Y10/35Utilities, e.g. electricity, gas or water
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00Information sensed or collected by the things
    • G16Y20/20Information sensed or collected by the things relating to the thing itself
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16YINFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00IoT characterised by the purpose of the information processing
    • G16Y40/50Safety; Security of things, users, data or systems

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Security & Cryptography (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Computer Hardware Design (AREA)
  • Bioethics (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Quality & Reliability (AREA)
  • Databases & Information Systems (AREA)
  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the application discloses a configuration data management method and device based on attribute classification. According to the technical scheme, the configuration data are divided into the common data and the independent data based on the predefined data attribute classification through the intelligent electric meter, the common data are packaged into the common data packets and sent to the common nodes, the independent data are divided into the independent data packets and stored to the independent nodes in a distributed mode, and the data labels are generated based on the storage positions of the common data packets and the independent data packets. And when the data management server detects that the new electric meter replaces the intelligent electric meter to access the network, extracting corresponding independent data packets and common data packets from each independent node and common node according to the data labels to synthesize configuration data, and sending the configuration data to the new electric meter to configure the operation parameters. By adopting the technical means, the safe backup storage can be carried out on the configuration data of the intelligent electric meter, and the efficient configuration of the configuration data of the intelligent electric meter is facilitated.

Description

Configuration data management method and device based on attribute classification
Technical Field
The embodiment of the application relates to the technical field of power Internet of things, in particular to a configuration data management method and device based on attribute classification.
Background
At present, with the development of the internet of things technology, more power systems are introduced into the internet of things technology to construct a power internet of things system so as to provide more convenient and flexible power operation management. The electric power internet of things is an intelligent service system which is characterized in that modern information technologies such as mobile interconnection, artificial intelligence and the like and advanced communication technologies are fully applied around all links of an electric power system, all things interconnection and man-machine interaction of all links of the electric power system are achieved, and the intelligent service system has the advantages of comprehensive state sensing, efficient information processing and convenient and flexible application. In the power internet of things, automatic collection of user power consumption data is generally realized through an intelligent electric meter, and the collected power consumption data is uploaded to a background server to perform system services such as data management and the like. The intelligent ammeter executes the services of collecting and uploading electricity consumption data, generating work logs, detecting safety of the ammeter and the like, and the services are that ammeter operation parameter configuration is carried out based on configuration data preset by a data management server, and related services are executed according to the operation parameters.
However, the existing power internet of things lacks management on configuration data of the intelligent electric meter, and once the intelligent electric meter has an operation fault, the configuration data of the intelligent electric meter is at risk of being lost. Moreover, when the intelligent electric meter is upgraded and replaced, the data management server is required to reset the configuration data of the intelligent electric meter, the whole process is tedious and tedious, and the service operation processing of the power internet of things is influenced.
Disclosure of Invention
The embodiment of the application provides a configuration data management method and device based on attribute classification, which can be used for carrying out safe backup storage on configuration data of an intelligent electric meter, facilitating efficient configuration of the configuration data of the intelligent electric meter and optimizing service operation of an electric power internet of things.
In a first aspect, an embodiment of the present application provides a method for managing configuration data based on attribute classification, including:
the intelligent electric meter divides configuration data into common data and independent data based on predefined data attribute classification, packages the common data into common data packets and sends the common data packets to common nodes, divides the independent data into a plurality of independent data packets and stores the independent data packets to the independent nodes in a distributed mode, the common data comprises the configuration data which is the same as that of an associated electric meter of the intelligent electric meter, and the independent data comprises the configuration data unique to the intelligent electric meter;
each independent node receives and stores the corresponding independent data packet, the common node inquires a storage list based on the received common data packet and judges whether the common data packet is stored in advance, if so, the received common data packet is discarded, and if not, the common data packet is stored;
the intelligent electric meter generates data labels based on the storage positions of the common data packets and the independent data packets, binds the data labels with the identity of the intelligent electric meter to generate configuration records and sends the configuration records to a data management server, and the data management server stores the configuration records in a configuration record table;
when the data management server detects that a new electric meter replaces the intelligent electric meter to access the network, the configuration record table is inquired based on the identity identification corresponding to the intelligent electric meter, the corresponding configuration record is extracted, the data label of the configuration record is obtained, the corresponding independent data packet and the corresponding common data packet are extracted from each independent node and each common node according to the data label, the configuration data is formed based on the common data packet and each independent data packet, and the configuration data is sent to the new electric meter to perform operation parameter configuration.
Further, each of the independent data packets corresponding to the independent data includes the configuration data that is redundant with each other.
Further, the splitting the independent data into a plurality of independent data packets and storing the independent data packets in a distributed manner to a plurality of independent nodes includes:
and encrypting each independent data packet by using an encryption key pre-configured by a designated third party, storing each independent data packet to a plurality of independent nodes in a distributed manner, and reserving a decryption key corresponding to the encryption key, wherein the designated third party also configures the decryption key for the data management server in advance.
Further, after the smart meter generates a data tag based on the storage location of the common data packet and the storage location of each of the independent data packets, the method further includes:
when the smart electric meter detects that the self operation parameters are lost, extracting the corresponding common data packets and/or the independent data packets from the common nodes and/or the independent nodes based on the data labels;
and acquiring the corresponding configuration data based on the common data packet and/or the independent data packet, and configuring the self operation parameters based on the corresponding configuration data.
Further, after the smart meter generates a data tag based on the storage location of the common data packet and the storage location of each of the independent data packets, the method further includes:
and when the smart electric meter detects that the corresponding configuration data is updated, generating a new common data packet and/or an independent data packet based on the updated configuration data, and updating the common data packet and/or the independent data packet to the common node and/or the independent node according to the data label.
Further, extracting the corresponding independent data packet and the corresponding shared data packet from each independent node and the shared node according to the data tag includes:
the data management server sends data requests to the independent nodes and the shared node respectively, wherein the data requests comprise the data labels and verification information of the data management server;
each independent node and the common node receive the data request, the verification information prestored in the data management server is compared based on the verification information of the data request, whether the identity of the data management server is legal is judged, and if yes, the corresponding common data packet and the independent data packet are extracted based on the data label of the data request and returned to the data management server.
Further, after sending the configuration data to the new electric meter for operating parameter configuration, the method further includes:
and the data management server acquires the identity of the new electric meter and updates the corresponding configuration record on the configuration record table based on the identity of the new electric meter and the identity of the intelligent electric meter.
In a second aspect, an embodiment of the present application provides an apparatus for managing configuration data based on attribute classification, including:
the backup module is used for splitting configuration data into common data and independent data based on predefined data attribute classification through a smart meter, packaging the common data into common data packets, sending the common data packets to common nodes, splitting the independent data into a plurality of independent data packets, and storing the independent data packets in a distributed manner to the independent nodes, wherein the common data comprises the configuration data which is the same as the configuration data unique to the smart meter, and the independent data comprises the configuration data unique to the smart meter;
the judging module is used for receiving and storing the corresponding independent data packets through each independent node, the shared node inquires a storage list based on the received shared data packets and judges whether the shared data packets are stored in advance, if so, the received shared data packets are discarded, and if not, the shared data packets are stored;
the storage module is used for generating data labels based on the storage positions of the common data packets and the independent data packets through the intelligent electric meter, binding the data labels with the identity of the data labels to generate configuration records and sending the configuration records to the data management server, and the data management server stores the configuration records in a configuration record table;
and the replacing module is used for inquiring the configuration record table based on the identity identification corresponding to the intelligent electric meter when the data management server detects that the intelligent electric meter is replaced by a new electric meter to access the network, extracting the corresponding configuration record, acquiring the data label of the configuration record, extracting the corresponding independent data packet and the common data packet from each independent node and each common node according to the data label, forming the configuration data based on the common data packet and each independent data packet, and sending the configuration data to the new electric meter for operating parameter configuration.
In a third aspect, an embodiment of the present application provides an electronic device, including:
a memory and one or more processors;
the memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the method for configuration data management based on attribute classification as described in the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions for performing the method for attribute classification-based configuration data management as described in the first aspect when executed by a computer processor.
According to the method, the configuration data are divided into common data and independent data based on predefined data attribute classification through the intelligent electric meter, the common data are packaged into common data packets and sent to common nodes, the independent data are divided into a plurality of independent data packets and stored to the plurality of independent nodes in a distributed mode, the configuration data contained in the common data are the same as those contained in an associated electric meter of the intelligent electric meter, and the independent data contain unique configuration data of the intelligent electric meter; each independent node receives and stores a corresponding independent data packet, the shared node inquires a storage list based on the received shared data packet and judges whether the shared data packet is stored in advance, if so, the received shared data packet is discarded, and if not, the shared data packet is stored; the intelligent electric meter generates data labels based on the storage positions of the common data packets and the independent data packets, binds the data labels with the identity labels of the intelligent electric meter to generate configuration records and sends the configuration records to the data management server, and the data management server stores the configuration records in a configuration record table; when the data management server detects that a new electric meter replaces the intelligent electric meter to access the network, the configuration record table is inquired based on the identity of the corresponding intelligent electric meter, the corresponding configuration record is extracted, the data label of the configuration record is obtained, the corresponding independent data packet and the corresponding common data packet are extracted from each independent node and each common node according to the data label, the configuration data is formed based on the common data packet and each independent data packet, and the configuration data is sent to the new electric meter to configure the operation parameters. By adopting the technical means, the safe backup storage can be carried out on the configuration data of the intelligent electric meter, the efficient configuration of the configuration data of the intelligent electric meter is facilitated, and the service operation of the power internet of things is optimized.
Drawings
Fig. 1 is a flowchart of a configuration data management method based on attribute classification according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of an electric power internet of things in the first embodiment of the present application;
FIG. 3 is a flowchart illustrating operational parameter reconfiguration according to an embodiment of the present application;
FIG. 4 is a flow chart of packet extraction according to one embodiment of the present application;
fig. 5 is a schematic structural diagram of a configuration data management apparatus based on attribute classification according to a second embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to a third embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application will be described in detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some but not all of the relevant portions of the present application are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The first embodiment is as follows:
fig. 1 is a flowchart of a configuration data management method based on attribute classification according to an embodiment of the present application, where the configuration data management method based on attribute classification provided in this embodiment may be executed by a configuration data management device based on attribute classification, the configuration data management device based on attribute classification may be implemented in a software and/or hardware manner, and the configuration data management device based on attribute classification may be formed by two or more physical entities or may be formed by one physical entity. In general, the attribute-classification-based configuration data management device may be an electric power internet of things system.
The following description will be given taking the attribute-classification-based configuration data management apparatus as an example of a main body that performs the attribute-classification-based configuration data management method. Referring to fig. 1, the method for managing configuration data based on attribute classification specifically includes:
s110, the intelligent electric meter divides configuration data into common data and independent data based on predefined data attribute classification, the common data are packaged into common data packets and sent to common nodes, the independent data are divided into a plurality of independent data packets and stored to the independent nodes in a distributed mode, the configuration data contained in the common data are the same as the configuration data of an associated electric meter of the intelligent electric meter, and the independent data contain the unique configuration data of the intelligent electric meter.
The configuration data management method based on attribute classification aims to safely backup configuration data of an intelligent electric meter and extract corresponding configuration data from a common node and an independent node to configure operation parameters of a new electric meter when the intelligent electric meter is replaced, so that efficient configuration of the operation parameters is achieved, and a good configuration data management effect is achieved. In addition, the configuration data are divided into the common data packet and the independent data packets and backed up on the common nodes and the plurality of independent nodes, so that the storage pressure of the data management server can be reduced, the storage space of the configuration data is saved, and the operation of the power internet of things is optimized.
Specifically, referring to fig. 2, in the electric power internet of things system, the smart meter 11 is in signal connection with the common node 12, the plurality of independent nodes 13, the designated third party 14 and the data management server 15, and correspondingly, the data management server 15 is in signal connection with the smart meter 11, the common node 12, the plurality of independent nodes 13 and the designated third party 14. The smart meter 11 is arranged corresponding to each electricity consumption unit and is used for processing services such as electricity metering, safety detection and log generation. The common node 12 is used for backing up common data of each intelligent electric meter 11, and the independent node 13 is used for backing up independent data of each intelligent electric meter 11, so that backup storage of configuration data of the intelligent electric meters is achieved, and the configuration data is prevented from being lost to influence service operation. The data management server 15 is configured to collectively manage the services of the intelligent electric meters 11, and issue the configuration data to the intelligent electric meters 11 to configure the operation parameters by setting the configuration data of the intelligent electric meters 11, so as to implement service operation management of the intelligent electric meters 11. The designated third party 14 is a trusted third party key management server for generating key pairs corresponding to the configuration data for subsequent independent packet encryption storage and decryption. And the appointed third party generates the key pair based on the identification of the intelligent electric meter, sends the key pair to the intelligent electric meter, and sends the decryption key of the key pair to the data management server based on the identification. It can be understood that, by generating a corresponding key pair corresponding to each smart meter, the smart meter can perform encrypted storage of the independent data packet. And a decryption key corresponding to the data management server is provided, so that the subsequent data management server can decrypt the independent data packet conveniently. Thereby, the safe storage of the independent data packet can be further ensured. The independent data packets are encrypted for storage, so that the difficulty of stealing the independent data packets can be increased, and the safety of storage and extraction of the independent data packets is further improved. In addition, the key pair for encrypting the independent data packet is managed by the trusted appointed third party, so that the key management process of the data management server can be saved, the service processing burden of the data management server is reduced, and the service processing efficiency is optimized.
Further, based on the power internet of things architecture, after the data management server issues the configuration data to the smart meter, the smart meter sets the operation parameters of the smart meter based on the configuration data, and processes the related services based on the operation parameters. After the operation parameter configuration is completed, the intelligent electric meter divides the configuration data into common data and independent data based on predefined data attribute classification, directly packs the common data into a common data packet, and divides the independent data into a plurality of independent data packets. It should be noted that, in the embodiment of the present application, the configuration data is split into the common data and the independent data according to the common attribute and the independent attribute of the configuration data, and the common data packet and the independent data packet are backed up respectively. The configuration data contained in the common data packet is the same as other associated electric meters in the electric power Internet of things system. Generally speaking, when an electric power internet of things system is set, corresponding to each intelligent electric meter in an area, configuration data of electric quantity collection, safety detection and work log generation services are the same, the part of the intelligent electric meters are defined as related electric meters, and when the configuration data of the intelligent electric meters are split, the common configuration data of the part of the intelligent electric meters are split into common data. The configuration data such as the identity of the intelligent electric meter, the session key of data transmission, the electric meter number information and the like have independent attributes, and the part of the configuration data is different in each intelligent electric meter, so that the part of the configuration data is split into the independent data when the configuration data is split. Based on the configuration data characteristics, data attribute classification of each part of configuration data is predefined, so that a subsequent intelligent electric meter can divide the configuration data into common data and independent data based on the data attribute classification. After the data splitting is completed, the intelligent electric meter splits the independent data into a plurality of independent data packets, encrypts each independent data packet by using an encryption key pre-configured by a designated third party, stores each independent data packet to a plurality of independent nodes in a distributed manner, reserves a decryption key corresponding to the encryption key, and configures the decryption key for the data management server in advance by the designated third party. And for the shared data, the shared data is directly packaged into a shared data packet and stored in the shared node. It can be understood that the independent data packet contains configuration data such as the identification of the intelligent electric meter, the session key of data transmission, the electric meter number information and the like, the data is relatively private, and once the data is leaked, risks such as leakage and tampering of the electricity utilization data exist. Therefore, the embodiment of the application ensures the storage safety of the independent data packets by encrypting the independent data packets. In addition, it should be noted that in the embodiment of the application, the plurality of independent nodes are adopted to respectively store the independent data packets, and the independent data is divided into the plurality of parts for storage, so that the situation that the user private data is easily stolen due to data concentration can be avoided, and the security of data storage is further ensured.
In one embodiment, when a plurality of independent data packets are generated from independent data, each of the independent data packets corresponding to the independent data includes the configuration data that is redundant with each other. It can be understood that the fault tolerance and the safety of the independent data storage can be further improved by mutually redundantly backing up partial configuration data among the independent data packets. When the independent data packet stored in one independent node is lost, complete independent data can be obtained by restoring partial configuration data of redundant backup of other independent nodes, so that the fault tolerance request of the configuration data backup is improved, and the integrity of the data is guaranteed.
In one embodiment, the designated third party generates a new key pair every other key management period, and updates the key pair of the smart meter and the decryption key of the data management server based on the new key pair. It can be understood that, by periodically updating the encryption key and the decryption key, the situation that the encryption key and the decryption key are easily broken, which causes the independent data packet to be stolen and leaked can be avoided. Therefore, the difficulty of stealing the independent data packet is increased, the safety of data storage and extraction is improved, and the operation of the power internet of things is optimized.
S120, each independent node receives and stores the corresponding independent data packet, the shared node inquires a storage list based on the received shared data packet and judges whether the shared data packet is stored in advance, if yes, the received shared data packet is discarded, and if not, the shared data packet is stored.
Further, after the shared node and the independent nodes receive the independent data packets and the shared data packets, each independent node directly stores the independent data packets, and the shared node judges whether the shared data packets are backed up in advance. It can be understood that the associated meters of the smart meters all include configuration data of the common data packet, and when the smart meters back up and store the common data packet, there may be a case that the associated meters back up and store the common data packet in advance. In consideration of the fact that the same common data packets are repeatedly backed up and occupy the storage space of the common node, in the embodiment of the application, when the common data packets are stored, the storage list is inquired and records each common data packet stored by the common node. If the shared node is determined to store the shared data packet in advance, deleting the currently received shared data packet. And if the common node is determined not to store the common data packet, storing and backing up the currently received common data packet.
S130, the intelligent electric meter generates data labels based on the storage positions of the common data packets and the independent data packets, binds the data labels with the identity of the intelligent electric meter to generate configuration records and sends the configuration records to a data management server, and the data management server stores the configuration records in a configuration record table.
Further, after storing each of the independent data packets and the common data packet, the smart meter generates a data tag corresponding to the storage locations of the independent data packet and the common data packet, where the data tag identifies the storage locations of the independent data packet and the common data packet, and the smart meter can extract the corresponding independent data packet and the corresponding common data packet from the independent node and the common node based on the data tag as a data index.
Further, after the common data packets and the independent data packets are stored in the common nodes and the independent nodes, the intelligent electric meter also binds the data labels with the identity of the intelligent electric meter to generate a configuration record, and the configuration record is sent to the data management server and stored in the configuration record table. The configuration records mark backup records of the configuration data of the intelligent electric meters, and the backup records can facilitate the data management server to obtain the common data packets and the independent data packets of the backup of each intelligent electric meter so as to reconfigure the configuration data.
In one embodiment, when the smart meter detects that the corresponding configuration data is updated, the smart meter generates a new common data packet and/or an independent data packet based on the updated configuration data, and updates the common data packet and/or the independent data packet to the common node and/or the independent node according to the data tag. It can be understood that, in order to ensure real-time update of configuration data backup and avoid the situation that the use of subsequent configuration data is affected due to the fact that the version of the backed-up configuration data is lagged, in the embodiment of the present application, after the configuration data is updated to the smart meter by the data management server, the relevant operating parameters are reset based on the new configuration data, and then the update of the common data packet and/or the independent data packet at the common node and/or the independent node is performed based on the updated configuration data (which part of the configuration data needs to be updated, the corresponding data packet is sent to the corresponding node). When updating the independent packet, the updated independent packet is encrypted using the encryption key with reference to the storage method of the independent packet, thereby generating a new independent packet. And then, when the new common data packet and/or the independent data packet are updated to the common node and/or the independent node, the data label is attached to the common data packet and/or the independent data packet, the common node and/or the independent node inquires internal storage according to the data label, deletes the corresponding common data packet and/or the independent data packet, and correspondingly stores the new common data packet and/or the independent data packet, so that the backup updating of the configuration data is completed, and the real-time performance of the configuration data backup is guaranteed.
In one embodiment, when the smart meter is influenced by an operation fault and the like, and an operation parameter is lost, the operation parameter is reconfigured. Referring to fig. 3, the operation parameter reconfiguration process includes:
s131, when the smart electric meter detects that the self operation parameters are lost, extracting the corresponding common data packets and/or the independent data packets from the common nodes and/or the independent nodes based on the data labels;
s132, acquiring the corresponding configuration data based on the common data packet and/or the independent data packet, and configuring the self-operation parameters based on the corresponding configuration data.
Specifically, after the operating parameter is lost, the smart meter requests the common node and/or the independent node for the corresponding common data packet and/or the independent data packet based on the data tag (which part of the parameter is lost, then requests the corresponding node for the corresponding configuration data). And the common node and/or the independent node inquires internal storage according to the data label, extracts the corresponding common data packet and/or independent data packet, and returns the common data packet and/or independent data packet to the intelligent electric meter. If the returned data packet comprises the independent data packet, the intelligent electric meter decrypts the independent data packet through the decryption key of the pre-configuration key pair to obtain the configuration data. And the configuration data can be directly extracted from the common data packet. The lost operation parameters are reconfigured based on the configuration data, so that the reconfiguration of the operation parameters is completed, and the operation of the power internet of things is prevented from being influenced by the loss of the operation parameters.
It should be noted that, in the embodiment of the present application, the independent data packet is encrypted and stored in the independent node, and the independent node is only used for the storage management of the independent data packet and cannot obtain the substantial content of the independent data packet, so that the risk of leakage of related private data can be reduced, and the security of backup storage of the independent data packet is improved.
In one embodiment, after the internal system of the smart meter is upgraded, since the system upgrade deletes all the operating parameters of the smart meter, the smart meter queries and extracts the corresponding configuration record by querying the configuration record table of the data management server and using the identity of the smart meter as a data index. And extracting corresponding data labels based on the configuration record, sending the data labels to the common nodes and the independent nodes to extract the common data packets and the independent data packets which are backed up in advance, decrypting the independent data packets by using a decryption key of the pre-configuration key pair to further obtain corresponding configuration data, and performing operation parameter configuration again. Thus, the operation parameter configuration of the intelligent electric meter after the system is upgraded is completed.
S140, when the data management server detects that a new electric meter replaces the intelligent electric meter to access the network, the configuration record table is inquired based on the identity identification corresponding to the intelligent electric meter, the corresponding configuration record is extracted, the data label of the configuration record is obtained, the corresponding independent data packet and the common data packet are extracted from each independent node and each common node according to the data label, the configuration data is formed based on the common data packet and each independent data packet, and the configuration data is sent to the new electric meter to configure the operation parameters.
Furthermore, in the operation process of the electric power internet of things system, the situation that the intelligent electric meter needs to be replaced due to equipment failure and equipment aging sometimes occurs. And when the new electric meter replaces the original intelligent electric meter to access the network, the operation parameter configuration needs to be carried out on the new electric meter. It can be understood that, because the new electric meter is connected to the network in place of the original smart electric meter, and the operation parameters of the new electric meter should be the same as those of the original smart electric meter, the operation parameter configuration of the new electric meter is performed by acquiring the configuration data of the original smart electric meter in the embodiment of the application.
Specifically, when the data management server detects that the new electric meter replaces the original intelligent electric meter to access the network. Firstly, inquiring a configuration record table through the identity of the original intelligent electric meter to determine the configuration record of the original intelligent electric meter. And requesting to extract the common data packet and each independent data packet of the original intelligent electric meter from the common node and each independent node based on the data label of the configuration record. Referring to fig. 4, the common packet and each individual packet extraction process includes:
s1401, the data management server sends data requests to each independent node and the shared node respectively, wherein the data requests comprise the data labels and verification information of the data management server;
s1402, each independent node and the common node receive the data request, the verification information prestored in the data management server is compared based on the verification information of the data request, whether the identity of the data management server is legal or not is judged, and if yes, the corresponding common data packet and the independent data packet are extracted based on the data label of the data request and returned to the data management server.
Specifically, the data management server requests the shared node and each independent node for a shared data packet and an independent data packet through a data request, wherein the data request comprises a data label of the original intelligent electric meter and verification information of the data management server. And the data labels are used as data indexes to inquire the corresponding common data packets and independent data packets. The verification information is used for comparing with the verification information of the data management server prestored in the common node and each independent node, and judging whether the identity of the current data management server is legal or not. It is understood that the common node and each independent node may respond to the data request only if the authentication is legitimate, and may not respond to the data request otherwise. And finally, after the common node and each independent node determine that the data management server is legal through verification information comparison, extracting the common data packet and the independent data packet which are stored in the corresponding storage positions on the basis of the data label, and returning the common data packet and the independent data packet to the data management server.
Further, based on the obtained common data packet and the independent data packet, the data management server decrypts the independent data packet by using a pre-configured decryption key, further analyzes the common data packet and the common data packet to obtain common data and independent data, synthesizes the common data and the independent data to obtain configuration data of the original intelligent electric meter, and sends the configuration data to a new electric meter to configure operation parameters. In addition, the data management server also sends the data labels of the original intelligent electric meters to the new electric meters together, so that when the new electric meters are upgraded, updated in configuration data or lost in operation parameters, the common data packets and the independent data packets are extracted or updated from the common nodes and the independent nodes based on the data labels.
In one embodiment, when the independent nodes perform verification information comparison, verification information comparison may be performed based on a consensus mechanism of the blockchain. And selecting one node from each independent node as a consensus node, and comparing the verification information of each independent node to obtain a first verification result, wherein the first verification result represents the identity verification result of each independent node. Further, the consensus node summarizes each first verification result, and determines a final identity verification result through a consensus verification mechanism. And the common identification verification adopts a few majority-obeying mode, and if the first verification result judges that the identity of the current independent node is legal to exceed 50%, the identity of the data management server is determined to be legal. Otherwise, the current data management server is considered to be illegal, the data request is ignored, and no data request response is carried out on the data request. After the data management server is verified to be legal, the consensus node informs each independent node to inquire and extract a corresponding independent data packet according to the data label in the data request and sends the independent data packet to the data management server so as to complete the response of the data request.
In one embodiment, the data management server updates the pre-stored authentication information of the individual nodes and the common node every other information management period. By periodically updating the verification information, illegal nodes can be prevented from easily cracking and forging the verification information to obtain related configuration data, and the storage safety of the common data packet and the independent data packets is further ensured.
In an embodiment, the data management server obtains the identity of the new electric meter, and updates the corresponding configuration record on the configuration record table based on the identity of the new electric meter and the identity of the smart electric meter. It can be understood that, in order to facilitate the data management server to perform configuration data management on the new electric meter, the configuration record of the original smart electric meter needs to be updated according to the identity of the new electric meter, and the identity of the new electric meter replaces the identity of the old electric meter to perform configuration record update. Therefore, the extraction of the common data packet and the independent data packet during the subsequent electricity meter replacement can be facilitated.
The configuration data are divided into common data and independent data through the intelligent electric meter based on predefined data attribute classification, the common data are packaged into common data packets and sent to common nodes, the independent data are divided into a plurality of independent data packets and stored to the independent nodes in a distributed mode, the configuration data contained in the common data are the same as the configuration data contained in an associated electric meter of the intelligent electric meter, and the independent data contain unique configuration data of the intelligent electric meter; each independent node receives and stores a corresponding independent data packet, the shared node inquires a storage list based on the received shared data packet and judges whether the shared data packet is stored in advance, if so, the received shared data packet is discarded, and if not, the shared data packet is stored; the intelligent electric meter generates data labels based on the storage positions of the common data packets and the independent data packets, binds the data labels with the identity labels of the intelligent electric meter to generate configuration records and sends the configuration records to the data management server, and the data management server stores the configuration records in a configuration record table; when the data management server detects that a new electric meter replaces the intelligent electric meter to access the network, the configuration record table is inquired based on the identity of the corresponding intelligent electric meter, the corresponding configuration record is extracted, the data label of the configuration record is obtained, the corresponding independent data packet and the corresponding common data packet are extracted from each independent node and each common node according to the data label, the configuration data is formed based on the common data packet and each independent data packet, and the configuration data is sent to the new electric meter to configure the operation parameters. By adopting the technical means, the safe backup storage can be carried out on the configuration data of the intelligent electric meter, the efficient configuration of the configuration data of the intelligent electric meter is facilitated, and the service operation of the power internet of things is optimized.
Example two:
on the basis of the foregoing embodiment, fig. 5 is a schematic structural diagram of a configuration data management apparatus based on attribute classification according to a second embodiment of the present application. Referring to fig. 5, the configuration data management apparatus based on attribute classification provided in this embodiment specifically includes: a backup module 21, a judgment module 22, a storage module 23 and a replacement module 24.
The backup module 21 is configured to split configuration data into common data and independent data based on predefined data attribute classification through a smart meter, package the common data into common data packets, send the common data packets to common nodes, split the independent data into a plurality of independent data packets, and store the independent data packets in a distributed manner to the plurality of independent nodes, where the common data includes the configuration data that is the same as an associated meter of the smart meter, and the independent data includes the configuration data unique to the smart meter;
the judging module 22 is configured to receive and store the corresponding independent data packets through each of the independent nodes, where the shared node queries a storage list based on the received shared data packet, and judges whether to pre-store the shared data packet, if so, discards the received shared data packet, and if not, stores the shared data packet;
the storage module 23 is configured to generate a data tag based on the storage location of the common data packet and each independent data packet through the smart meter, bind the data tag with an identity of the smart meter to generate a configuration record, and send the configuration record to a data management server, where the data management server stores the configuration record in a configuration record table;
the replacement module 24 is configured to, when the data management server detects that a new electric meter replaces the smart electric meter to access the network, query the configuration record table based on the identification corresponding to the smart electric meter, extract the corresponding configuration record, obtain the data tag of the configuration record, extract the corresponding independent data packet and the common data packet from each independent node and each common node according to the data tag, and send the configuration data to the new electric meter to configure the operating parameters based on the configuration data formed by the common data packet and each independent data packet.
The configuration data are divided into common data and independent data through the intelligent electric meter based on predefined data attribute classification, the common data are packaged into common data packets and sent to common nodes, the independent data are divided into a plurality of independent data packets and stored to the independent nodes in a distributed mode, the configuration data contained in the common data are the same as the configuration data contained in an associated electric meter of the intelligent electric meter, and the independent data contain unique configuration data of the intelligent electric meter; each independent node receives and stores a corresponding independent data packet, the shared node inquires a storage list based on the received shared data packet and judges whether the shared data packet is stored in advance, if so, the received shared data packet is discarded, and if not, the shared data packet is stored; the intelligent electric meter generates data labels based on the storage positions of the common data packets and the independent data packets, binds the data labels with the identity labels of the intelligent electric meter to generate configuration records and sends the configuration records to the data management server, and the data management server stores the configuration records in a configuration record table; when the data management server detects that a new electric meter replaces the intelligent electric meter to access the network, the configuration record table is inquired based on the identity of the corresponding intelligent electric meter, the corresponding configuration record is extracted, the data label of the configuration record is obtained, the corresponding independent data packet and the corresponding common data packet are extracted from each independent node and each common node according to the data label, the configuration data is formed based on the common data packet and each independent data packet, and the configuration data is sent to the new electric meter to configure the operation parameters. By adopting the technical means, the safe backup storage can be carried out on the configuration data of the intelligent electric meter, the efficient configuration of the configuration data of the intelligent electric meter is facilitated, and the service operation of the power internet of things is optimized.
The configuration data management device based on attribute classification provided in the second embodiment of the present application can be used to execute the configuration data management method based on attribute classification provided in the first embodiment, and has corresponding functions and beneficial effects.
Example three:
an embodiment of the present application provides an electronic device, and with reference to fig. 6, the electronic device includes: a processor 31, a memory 32, a communication module 33, an input device 34, and an output device 35. The number of processors in the electronic device may be one or more, and the number of memories in the electronic device may be one or more. The processor, memory, communication module, input device, and output device of the electronic device may be connected by a bus or other means.
The memory 32 is a computer readable storage medium, and can be used for storing software programs, computer executable programs, and modules, such as program instructions/modules corresponding to the configuration data management method based on attribute classification (for example, a backup module, a judgment module, a storage module, and a replacement module in the configuration data management device based on attribute classification) according to any embodiment of the present application. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to use of the device, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory may further include memory located remotely from the processor, and these remote memories may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The communication module 33 is used for data transmission.
The processor 31 executes various functional applications of the device and data processing by running software programs, instructions, and modules stored in the memory, that is, implements the above-described configuration data management method based on attribute classification.
The input device 34 may be used to receive entered numeric or character information and to generate key signal inputs relating to user settings and function controls of the apparatus. The output device 35 may include a display device such as a display screen.
The electronic device provided above can be used to execute the configuration data management method based on attribute classification provided in the first embodiment above, and has corresponding functions and advantages.
Example four:
embodiments of the present application further provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method for configuration data management based on attribute classification, the method for configuration data management based on attribute classification including: the intelligent electric meter divides configuration data into common data and independent data based on predefined data attribute classification, packages the common data into common data packets and sends the common data packets to common nodes, divides the independent data into a plurality of independent data packets and stores the independent data packets to the independent nodes in a distributed mode, the common data comprises the configuration data which is the same as that of an associated electric meter of the intelligent electric meter, and the independent data comprises the configuration data unique to the intelligent electric meter; each independent node receives and stores the corresponding independent data packet, the common node inquires a storage list based on the received common data packet and judges whether the common data packet is stored in advance, if so, the received common data packet is discarded, and if not, the common data packet is stored; the intelligent electric meter generates data labels based on the storage positions of the common data packets and the independent data packets, binds the data labels with the identity of the intelligent electric meter to generate configuration records and sends the configuration records to a data management server, and the data management server stores the configuration records in a configuration record table; when the data management server detects that a new electric meter replaces the intelligent electric meter to access the network, the configuration record table is inquired based on the identity identification corresponding to the intelligent electric meter, the corresponding configuration record is extracted, the data label of the configuration record is obtained, the corresponding independent data packet and the corresponding common data packet are extracted from each independent node and each common node according to the data label, the configuration data is formed based on the common data packet and each independent data packet, and the configuration data is sent to the new electric meter to perform operation parameter configuration.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDRRAM, SRAM, EDORAM, Lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations, e.g., in different computer systems connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application contains computer-executable instructions, and the computer-executable instructions are not limited to the configuration data management method based on attribute classification described above, and may also perform related operations in the configuration data management method based on attribute classification provided in any embodiment of the present application.
The configuration data management apparatus, the storage medium, and the electronic device based on attribute classification provided in the foregoing embodiments may execute the configuration data management method based on attribute classification provided in any embodiment of the present application, and reference may be made to the configuration data management method based on attribute classification provided in any embodiment of the present application without detailed technical details described in the foregoing embodiments.
The foregoing is considered as illustrative of the preferred embodiments of the invention and the technical principles employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.

Claims (10)

1. A configuration data management method based on attribute classification is characterized by comprising the following steps:
the intelligent electric meter divides configuration data into common data and independent data based on predefined data attribute classification, packages the common data into common data packets and sends the common data packets to common nodes, divides the independent data into a plurality of independent data packets and stores the independent data packets to the independent nodes in a distributed mode, the common data comprises the configuration data which is the same as that of an associated electric meter of the intelligent electric meter, and the independent data comprises the configuration data unique to the intelligent electric meter;
each independent node receives and stores the corresponding independent data packet, the common node inquires a storage list based on the received common data packet and judges whether the common data packet is stored in advance, if so, the received common data packet is discarded, and if not, the common data packet is stored;
the intelligent electric meter generates data labels based on the storage positions of the common data packets and the independent data packets, binds the data labels with the identity of the intelligent electric meter to generate configuration records and sends the configuration records to a data management server, and the data management server stores the configuration records in a configuration record table;
when the data management server detects that a new electric meter replaces the intelligent electric meter to access the network, the configuration record table is inquired based on the identity identification corresponding to the intelligent electric meter, the corresponding configuration record is extracted, the data label of the configuration record is obtained, the corresponding independent data packet and the corresponding common data packet are extracted from each independent node and each common node according to the data label, the configuration data is formed based on the common data packet and each independent data packet, and the configuration data is sent to the new electric meter to perform operation parameter configuration.
2. The method according to claim 1, wherein each of the independent data packets corresponding to the independent data includes the configuration data that is redundant with each other.
3. The method for managing configuration data based on attribute classification as claimed in claim 1, wherein the step of splitting the independent data into a plurality of independent data packets and storing the independent data packets in a distributed manner to a plurality of independent nodes comprises:
and encrypting each independent data packet by using an encryption key pre-configured by a designated third party, storing each independent data packet to a plurality of independent nodes in a distributed manner, and reserving a decryption key corresponding to the encryption key, wherein the designated third party also configures the decryption key for the data management server in advance.
4. The method of claim 1, wherein after the smart meter generates the data tag based on the storage location of the common data packet and the individual data packet, the method further comprises:
when the smart electric meter detects that the self operation parameters are lost, extracting the corresponding common data packets and/or the independent data packets from the common nodes and/or the independent nodes based on the data labels;
and acquiring the corresponding configuration data based on the common data packet and/or the independent data packet, and configuring the self operation parameters based on the corresponding configuration data.
5. The method of claim 1, wherein after the smart meter generates the data tag based on the storage location of the common data packet and the individual data packet, the method further comprises:
and when the smart electric meter detects that the corresponding configuration data is updated, generating a new common data packet and/or an independent data packet based on the updated configuration data, and updating the common data packet and/or the independent data packet to the common node and/or the independent node according to the data label.
6. The method for managing configuration data based on attribute classification according to claim 1, wherein extracting the corresponding independent data packet and the common data packet from each of the independent node and the common node according to the data label comprises:
the data management server sends data requests to the independent nodes and the shared node respectively, wherein the data requests comprise the data labels and verification information of the data management server;
each independent node and the common node receive the data request, the verification information prestored in the data management server is compared based on the verification information of the data request, whether the identity of the data management server is legal is judged, and if yes, the corresponding common data packet and the independent data packet are extracted based on the data label of the data request and returned to the data management server.
7. The method of claim 1, wherein after sending the configuration data to the new electric meter for configuration of the operating parameters, the method further comprises:
and the data management server acquires the identity of the new electric meter and updates the corresponding configuration record on the configuration record table based on the identity of the new electric meter and the identity of the intelligent electric meter.
8. An attribute classification-based configuration data management apparatus, comprising:
the backup module is used for splitting configuration data into common data and independent data based on predefined data attribute classification through a smart meter, packaging the common data into common data packets, sending the common data packets to common nodes, splitting the independent data into a plurality of independent data packets, and storing the independent data packets in a distributed manner to the independent nodes, wherein the common data comprises the configuration data which is the same as the configuration data unique to the smart meter, and the independent data comprises the configuration data unique to the smart meter;
the judging module is used for receiving and storing the corresponding independent data packets through each independent node, the shared node inquires a storage list based on the received shared data packets and judges whether the shared data packets are stored in advance, if so, the received shared data packets are discarded, and if not, the shared data packets are stored;
the storage module is used for generating data labels based on the storage positions of the common data packets and the independent data packets through the intelligent electric meter, binding the data labels with the identity of the data labels to generate configuration records and sending the configuration records to the data management server, and the data management server stores the configuration records in a configuration record table;
and the replacing module is used for inquiring the configuration record table based on the identity identification corresponding to the intelligent electric meter when the data management server detects that the intelligent electric meter is replaced by a new electric meter to access the network, extracting the corresponding configuration record, acquiring the data label of the configuration record, extracting the corresponding independent data packet and the common data packet from each independent node and each common node according to the data label, forming the configuration data based on the common data packet and each independent data packet, and sending the configuration data to the new electric meter for operating parameter configuration.
9. An electronic device, comprising:
a memory and one or more processors;
the memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the method for attribute classification-based configuration data management as claimed in any one of claims 1 to 7.
10. A storage medium containing computer-executable instructions for performing the method for attribute classification-based configuration data management according to any one of claims 1 to 7 when executed by a computer processor.
CN202011548726.0A 2020-12-23 2020-12-23 Configuration data management method and device based on attribute classification Active CN112559252B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011548726.0A CN112559252B (en) 2020-12-23 2020-12-23 Configuration data management method and device based on attribute classification

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011548726.0A CN112559252B (en) 2020-12-23 2020-12-23 Configuration data management method and device based on attribute classification

Publications (2)

Publication Number Publication Date
CN112559252A CN112559252A (en) 2021-03-26
CN112559252B true CN112559252B (en) 2021-09-03

Family

ID=75033201

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011548726.0A Active CN112559252B (en) 2020-12-23 2020-12-23 Configuration data management method and device based on attribute classification

Country Status (1)

Country Link
CN (1) CN112559252B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114676073B (en) * 2022-05-18 2022-09-23 飞腾信息技术有限公司 TLB table item management method, device and storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101821743A (en) * 2007-08-10 2010-09-01 施曼信医疗Asd公司 Be used to control the system of Medical Devices
CN105550072A (en) * 2016-03-07 2016-05-04 深圳市创想天空科技股份有限公司 Data backup method and system
CN109202898A (en) * 2018-08-07 2019-01-15 北京云迹科技有限公司 Method for parameter configuration and device
CN109861854A (en) * 2019-01-23 2019-06-07 四川虹美智能科技有限公司 A kind of intelligent device management method, apparatus and system
CN110913507A (en) * 2018-09-18 2020-03-24 华为技术有限公司 Communication method and device
CN111857777A (en) * 2020-07-16 2020-10-30 南方电网数字电网研究院有限公司 System updating method and device based on double-core intelligent electric meter and computer equipment
CN112073212A (en) * 2020-07-22 2020-12-11 视联动力信息技术股份有限公司 Parameter configuration method, device, terminal equipment and storage medium

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10007577B2 (en) * 2015-12-21 2018-06-26 Intel Corporation Methods and apparatus to facilitate distributed data backup
US10430263B2 (en) * 2016-02-01 2019-10-01 Electro Industries/Gauge Tech Devices, systems and methods for validating and upgrading firmware in intelligent electronic devices

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101821743A (en) * 2007-08-10 2010-09-01 施曼信医疗Asd公司 Be used to control the system of Medical Devices
CN105550072A (en) * 2016-03-07 2016-05-04 深圳市创想天空科技股份有限公司 Data backup method and system
CN109202898A (en) * 2018-08-07 2019-01-15 北京云迹科技有限公司 Method for parameter configuration and device
CN110913507A (en) * 2018-09-18 2020-03-24 华为技术有限公司 Communication method and device
CN109861854A (en) * 2019-01-23 2019-06-07 四川虹美智能科技有限公司 A kind of intelligent device management method, apparatus and system
CN111857777A (en) * 2020-07-16 2020-10-30 南方电网数字电网研究院有限公司 System updating method and device based on double-core intelligent electric meter and computer equipment
CN112073212A (en) * 2020-07-22 2020-12-11 视联动力信息技术股份有限公司 Parameter configuration method, device, terminal equipment and storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
三网合一的智能化变电站运行管理;朱兴柯 等;《云南电力技术》;20111015;第39卷(第5期);30-33 *

Also Published As

Publication number Publication date
CN112559252A (en) 2021-03-26

Similar Documents

Publication Publication Date Title
US20220407725A1 (en) File storage method, terminal, and storage medium
CN111914269B (en) Data security sharing method and system in blockchain and cloud storage environment
EP3139541B1 (en) Method and system for performing distributed server change operations in a transaction-safe manner
CN112765245A (en) Electronic government affair big data processing platform
CN112333213B (en) Privacy protection method and device for business data of power Internet of things
CN104506487B (en) The credible execution method of privacy policy under cloud environment
CN103595730A (en) Ciphertext cloud storage method and system
CN112333212B (en) Encryption management method and device for business data of power Internet of things
CN112559252B (en) Configuration data management method and device based on attribute classification
CN111371588A (en) SDN edge computing network system based on block chain encryption, encryption method and medium
CN112350875B (en) Centralized management configuration method and device for configuration data
CN112559250B (en) Configuration data backup method and device for electric power Internet of things
CN112559251B (en) Configuration data management method and device for electric power Internet of things
CN112506705B (en) Distributed storage configuration information backup method and device
CN113987475A (en) Distributed resource management system, distributed resource management method, credential information management system, and medium
CN112333036B (en) Multi-storage-node-based power Internet of things configuration data backup method and device
CN111191261B (en) Big data security protection method, system, medium and equipment
CN112367410B (en) Operation parameter management method and device
CN112560097B (en) Storage management method and device for power business data
CN112506703B (en) Backup method and device for configuration information of terminal of Internet of things
CN112650630B (en) Distributed backup method and device for operating parameters of intelligent electric meter
CN112506704B (en) Configuration information backup method and device for gateway of Internet of things
CN112769625B (en) Grouping configuration method and device for configuration data
CN112787864A (en) Grouping configuration method and device of power internet of things
CN118214551A (en) Charging platform and equipment dynamic key distribution method

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
GR01 Patent grant
GR01 Patent grant