CN112468350B - Operation parameter configuration management method and device of power Internet of things - Google Patents
Operation parameter configuration management method and device of power Internet of things Download PDFInfo
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Abstract
The embodiment of the application discloses an operation parameter configuration management method and device of an electric power Internet of things. According to the technical scheme provided by the embodiment of the application, the parameter package and the identity list are sent to the master node through the data management server for backup storage, and the identity identification of the master node is distributed to each slave node; the master node configures the operation parameters of the master node based on the parameter packet, receives the data request of each slave node, and responds to the data request to distribute the parameter packet to each slave node for operation parameter configuration; the data management server generates an update parameter package based on the current grouped update configuration data, sends the update parameter package to the master node, and the master node updates the self operation parameters based on the update parameter package and sends the update parameter package to each slave node based on the identity list. The safe backup storage can be carried out on the operating parameters of the intelligent electric meter, the efficient configuration of the operating parameters of the intelligent electric meter is facilitated, and the operating parameter storage pressure of the data management server is reduced.
Description
Technical Field
The embodiment of the application relates to the technical field of power internet of things, in particular to a method and a device for configuration management of operating parameters of the power internet of things.
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. When the intelligent electric meter executes the services such as collection and uploading of electricity consumption data, generation of work logs, safety detection of the electric meter and the like, the related services are executed based on the operation parameters pre-configured by the data management server.
However, the existing power internet of things is lack of management on the operation parameters of the intelligent electric meter, and once the intelligent electric meter has an operation fault, the operation parameters of the intelligent electric meter are at risk of being lost. However, the mode of backing up the operation parameters by the data management server increases the storage pressure of the data management server, which causes the storage resources of the data management server to be excessively occupied, and affects the operation of other services. In addition, the data management server backs up the operating parameters of each intelligent electric meter, once the data management server is attacked by a network, the operating parameters of the whole system are leaked, and further the operation of the service of the whole system is influenced.
Disclosure of Invention
The embodiment of the application provides an operation parameter configuration management method and device of an electric power internet of things, which can be used for carrying out safe backup storage on operation parameters of an intelligent electric meter, facilitating efficient configuration of the operation parameters of the intelligent electric meter, reducing the operation parameter storage pressure of a data management server and optimizing operation parameter management of each intelligent electric meter.
In a first aspect, an embodiment of the present application provides an operation parameter configuration management method for an electric power internet of things, including:
the data management server sets a main node and a plurality of slave nodes based on each intelligent electric meter grouped currently, acquires unified configuration data corresponding to each intelligent electric meter grouped currently, generates a parameter package based on the unified configuration data, generates an identity list based on the identity of each intelligent electric meter grouped currently, sends the parameter package and the identity list to the main node for backup storage, and distributes the identity of the main node to each slave node;
the main node configures self operation parameters based on the parameter packet and receives data requests of all the slave nodes, the data requests comprise identity marks of the slave nodes, the identity list is compared based on the data requests to verify whether the identity of all the slave nodes is legal or not, and if yes, the parameter packet is distributed to all the slave nodes to perform operation parameter configuration in response to the data requests;
the data management server generates an update parameter package based on the current grouped update configuration data, sends the update parameter package to the master node, and the master node updates the self operation parameters based on the update parameter package and sends the update parameter package to each slave node based on the identity list.
Further, when the parameter packet and the identity list are sent to the master node for backup storage, the method further includes:
encrypting the parameter packet by using an encryption key pre-distributed by a third-party server and sending the parameter packet to the main node;
correspondingly, before the master node configuring its own operating parameters based on the parameter packet, the method further includes:
and decrypting the parameter packet by using a decryption key pre-distributed by the third-party server.
Further, after the data management server sets a master node and a plurality of slave nodes based on each smart meter currently grouped, the data management server further includes:
the data management server sends the identity of the main node to the third-party server, the third-party server generates the encryption key and the decryption key based on the identity of the main node, sends the encryption key to the data management server, and sends the decryption key to the main node.
Further, after sending the encryption key to the data management server and sending the decryption key to the master node, the method further includes:
and the third-party server updates the encryption key to the data management server every other key management period, and correspondingly updates the decryption key and sends the decryption key to the main node.
Further, the data management server sets a master node and a plurality of slave nodes based on each smart meter currently grouped, and further includes:
and the data management server selects one intelligent electric meter as a main node based on the storage state of each intelligent electric meter which is currently grouped.
Further, the data management server sets a master node and a plurality of slave nodes based on each smart meter currently grouped, and further includes:
and the data management server selects one intelligent electric meter as a main node based on the signal test results of the data management server and the current grouped intelligent electric meters.
Further, after the data management server sets a master node and a plurality of slave nodes based on each smart meter currently grouped, the data management server further includes:
and the data management server performs setting of the master node and the slave node again every other node management period based on each currently grouped smart electric meter.
In a second aspect, an embodiment of the present application provides an operation parameter configuration management device for an electric power internet of things, including:
the setting module is used for setting a main node and a plurality of slave nodes based on each intelligent electric meter grouped currently through the data management server, acquiring unified configuration data corresponding to each intelligent electric meter grouped currently, generating a parameter package based on the unified configuration data, generating an identity list based on the identity of each intelligent electric meter grouped currently, sending the parameter package and the identity list to the main node for backup storage, and distributing the identity of the main node to each slave node;
a first configuration module, configured to configure, by the master node, a self-operation parameter based on the parameter packet, and receive a data request of each slave node, where the data request includes an identity of the slave node, and compare the identity list based on the data request to verify whether an identity of each slave node is legal, and if so, distribute the parameter packet to each slave node in response to the data request to perform operation parameter configuration;
and the second configuration module is used for generating an update parameter package based on the current grouped update configuration data through the data management server, sending the update parameter package to the master node, updating the self operation parameters of the master node based on the update parameter package, and sending the update parameter package to each slave node based on the identity list.
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 management of operating parameters of the power internet of things according to the first aspect.
In a fourth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform the method for managing configuration of operating parameters of a power internet of things according to the first aspect.
The method comprises the steps that a data management server sets a main node and a plurality of slave nodes based on each intelligent electric meter grouped currently, acquires unified configuration data corresponding to each intelligent electric meter grouped currently, generates a parameter package based on the unified configuration data, generates an identity list based on the identity of each intelligent electric meter grouped currently, sends the parameter package and the identity list to the main node for backup storage, and distributes the identity of the main node to each slave node; the master node configures self operation parameters based on the parameter packet, receives data requests of all slave nodes, the data requests comprise identity identifications of the slave nodes, compares the identity lists based on the data requests to verify whether the identities of all the slave nodes are legal or not, and if yes, distributes the parameter packet to all the slave nodes to configure the operation parameters in response to the data requests; the data management server generates an update parameter package based on the current grouped update configuration data, sends the update parameter package to the master node, and the master node updates the self operation parameters based on the update parameter package and sends the update parameter package to each slave node based on the identity list. The intelligent electric meter operation parameter storage system can safely backup and store the intelligent electric meter operation parameters, is convenient for the efficient configuration of the intelligent electric meter operation parameters, reduces the operation parameter storage pressure of the data management server, and optimizes the operation parameter management of each intelligent electric meter.
Drawings
Fig. 1 is a flowchart of an operation parameter configuration management method for an electric power internet of things according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a signal test of a data management server according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an operating parameter configuration according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an operation parameter configuration management device of an electric power internet of things according to a second embodiment of the present application;
fig. 5 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 an operation parameter configuration management method for an electric power internet of things according to an embodiment of the present application, where the operation parameter configuration management method for an electric power internet of things provided in this embodiment may be executed by an operation parameter configuration management device for an electric power internet of things, the operation parameter configuration management device for an electric power internet of things may be implemented in a software and/or hardware manner, and the operation parameter configuration management device for an electric power internet of things may be formed by two or more physical entities or may be formed by one physical entity. Generally, the operation parameter configuration management device of the power internet of things can be a power internet of things system.
The following description will be given by taking the operation parameter configuration management device of the power internet of things as an example of a main body for executing an operation parameter configuration management method of the power internet of things. Referring to fig. 1, the operation parameter configuration management method of the power internet of things specifically includes:
s110, the data management server sets a main node and a plurality of slave nodes based on each intelligent electric meter grouped currently, acquires unified configuration data corresponding to each intelligent electric meter grouped currently, generates a parameter package based on the unified configuration data, generates an identity list based on the identity of each intelligent electric meter grouped currently, sends the parameter package and the identity list to the main node for backup storage, and distributes the identity of the main node to each slave node.
The operation parameter configuration management method of the power internet of things aims to select one intelligent electric meter as a main node to manage operation parameters of electric meter groups, and safe backup storage of the operation parameters of the intelligent electric meter can be achieved by storing the operation parameters of the intelligent electric meter to the main node corresponding to the electric meter groups. In addition, the operation parameter backup is stored in the main node, so that the operation parameters of the intelligent electric meters grouped by the same electric meter can be extracted and used conveniently, and the efficient configuration of the operation parameters of the intelligent electric meters is facilitated. In addition, the operation parameters are backed up in the main node, so that the operation parameter storage pressure of the data management server can be relieved, and the management of the operation parameters is optimized. In addition, the master node and each slave node correspond to the same ammeter group, the set distance is close, and the master node and the slave nodes are relatively stable in operation parameter transmission, so that the stability of operation parameter configuration can be guaranteed.
Specifically, when the configuration of the operation parameters of the intelligent electric meters is performed, the data management server acquires unified configuration data corresponding to the current electric meters and grouping the intelligent electric meters, the unified configuration data are configured by operation and maintenance management personnel of the power internet of things, and if the intelligent electric meters corresponding to the same electric meter grouping are the intelligent electric meters corresponding to the same building, the execution processes of services such as electric quantity collection, safety detection, working log generation and the like are the same, and the service execution corresponding operation parameters are the same. Therefore, when the operation parameter setting of each intelligent electric meter grouped by the current electric meter is carried out, the data management server generates the parameter packet corresponding to each intelligent electric meter based on the unified configuration data by setting the unified configuration data corresponding to each intelligent electric meter grouped by the current electric meter.
Specifically, in order to facilitate configuration and management of operation parameters of the intelligent electric meters grouped by the same electric meter, the master node and the slave node of each intelligent electric meter grouped by the same electric meter are set, one intelligent electric meter is set as the master node, the other intelligent electric meters are set as the slave nodes, and the master node manages the operation parameters of backup of each intelligent electric meter so as to realize better stable operation parameter backup management.
The data management server selects one intelligent electric meter as a main node based on the signal test results of the data management server and the current grouped intelligent electric meters. And the data management server selects one intelligent electric meter with the best signal transmission quality as a main node according to the signal test result of each intelligent electric meter grouped with the data management server and the electric meters. Based on a signal test mode, the selected master node is ensured to have the best data transmission performance, and stable transmission of power utilization data can be guaranteed. Referring to fig. 2, when performing the signal test, the data management server 11 receives the test signal sent by each smart meter 12 in the meter group, determines a corresponding signal quality parameter based on each test signal, and takes each signal quality parameter as a signal test result of each smart meter 12. And after receiving the test signal, the data management server further measures and calculates a signal quality parameter corresponding to the test signal, and determines the communication quality between each intelligent electric meter and the data management server based on the signal quality parameter. In particular, the signal quality parameter value of the test signal is determined by the corresponding signal received power, signal received strength, channel instantaneous quality value and/or interference signal strength. Wherein the channel instantaneous quality value represents the channel quality, channel matrix feedback, signal response, and/or interference information for the corresponding signal receiving antenna. And measuring the various types of parameters through the corresponding test signals and the antenna parameters. Further, in order to quantize the signal quality parameter, a calculation formula of the signal quality parameter is provided to quantize the signal quality of the test signal, and the calculation formula of the signal quality parameter is:
where f is the signal quality parameter value, P is the signal received power, d1For signal received strength, h is the instantaneous quality value of the channel, d2For interfering signal strength, omega1，ω2，ω3And ω4The influence factors are determined according to actual tests and can be set according to the actual influence of each type of parameter on the signal quality parameter value. Based on the signal quality parameter calculation formula, each test signal can be determinedSignal quality parameter of the number. It should be noted that, in practical applications, according to different signal quality evaluation criteria, a plurality of different manners may be selected to evaluate the signal quality parameters of each test signal, and a corresponding quantization formula is set accordingly. The above formula is only one calculation method for calculating the signal quality parameter in the embodiment of the present application, and various different measurement and calculation formulas may be selected according to actual measurement and calculation requirements, which is not described herein again.
Further, the data management server selects one intelligent electric meter as a main node based on the signal test results of the data management server and the intelligent electric meters grouped currently. And preferably, the intelligent electric meter with the largest signal quality parameter is used as a master node, and the other intelligent electric meters are used as slave nodes. It can be understood that the master node is selected based on the signal test result, the data transmission quality between the master node and the data management server is relatively better, the network stability of the operation parameter transmission can be guaranteed, and the data transmission effect is optimized.
In one embodiment, the data management server selects one smart meter as the master node based on the storage state of the currently grouped smart meters. The data management server selects one intelligent electric meter with relatively free storage space as the main node based on the storage state of each intelligent electric meter and the storage balance principle so as to realize better backup management on the operation parameters of each slave node by utilizing the storage resources of the main node. The data management server obtains the storage state of each intelligent electric meter, and then selects the intelligent electric meter with the most free storage space as a main node, and the other intelligent electric meters as slave nodes, so that the main node can be optimized from the perspective of the storage space to perform parameter package backup management, and the parameter package backup management efficiency is optimized. It can be understood that the master node is used as a backup and management node for grouping the operating parameters of each smart meter by the current meter, and needs to ensure enough storage space for backing up the operating parameters, so as to facilitate subsequent configuration of the operating parameters of each slave node based on the backed-up operating parameters.
Further, after the main node and the sub-nodes are determined, the data management server generates an identity list based on the identity of each intelligent electric meter, the identity list comprises the identity of each intelligent electric meter, and the identity list and a parameter package generated according to unified configuration data in advance are sent to the main node, so that the main node can backup and manage the operation parameters of all the intelligent electric meters grouped currently based on the parameter package and the identity list. In addition, the data management server also sends the identity of the master node to each slave node to inform each slave node to request the master node for the operation parameters to carry out the operation parameter configuration of the slave node.
In one embodiment, referring to fig. 3, the data management server 11 further encrypts the parameter packet using an encryption key pre-allocated by the third-party server 13 and sends the parameter packet to the smart meter 12 corresponding to the master node; correspondingly, after receiving the parameter packet, the main node decrypts the parameter packet by using a decryption key pre-distributed by the third-party server. Before that, the data management server sends the identity of the master node to the third-party server, and the third-party server generates the encryption key and the decryption key based on the identity of the master node, sends the encryption key to the data management server, and sends the decryption key to the master node. The third-party server receives the identity of the master node in advance, and generates a unique session key by the identity of the third-party server corresponding to the master node. The session key comprises an encryption key and a decryption key, wherein the encryption key is sent to the data management server and used for carrying out encryption transmission on the parameter packet, and the decryption key is sent to the main node and used for subsequent decryption of the parameter packet. It can be understood that, in the embodiments of the present application, the encryption key is respectively sent to the data management server, and the decryption key is sent to the master node, so that the session key can be separately used, the difficulty of key decryption is increased, and the security of data transmission is further ensured. In addition, the third-party server is a trusted key management server and is used for generating a corresponding session key for the data management server to perform encrypted transmission of the corresponding parameter packet. It can be understood that, the security of parameter packet transmission can be ensured by performing encrypted transmission of the parameter packet through the session key. In addition, the session key is managed by the trusted third-party server, so that the session 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.
In one embodiment, the third-party server updates the encryption key to the data management server every other key management period, and correspondingly updates the decryption key and sends the decryption key to the master node. It can be understood that the encryption key and the decryption key are periodically updated, so that the difficulty of key decryption can be increased, and the situation that the electricity consumption data is stolen and tampered due to the fact that the session key is easily decrypted is avoided. Therefore, the safety of parameter packet transmission is improved, and the operation of the power internet of things is optimized.
In one embodiment, the data management server performs setting of the master node and the slave nodes again every other node management period based on the currently grouped smart meters. By referring to the setting mode of the master node and the slave node, the master node and the slave node are periodically set, so that the master node in the ammeter grouping can meet the backup and management requirements of the operation parameters in real time, the stability of managing backup of the corresponding ammeter grouping operation parameters is further guaranteed, and the operation parameter management effect is optimized.
And S120, the master node configures self operation parameters based on the parameter packet, receives data requests of the slave nodes, the data requests comprise the identity identifications of the slave nodes, compares the identity lists based on the data requests to verify whether the identities of the slave nodes are legal or not, and if yes, responds to the data requests to distribute the parameter packet to the slave nodes for operation parameter configuration.
Further, referring to fig. 3, after receiving the parameter packet sent by the data management server 11, the smart meter 12 corresponding to the master node first configures its own operating parameters. The data management server sends the identity of the master node to each slave node in advance. Then, when each slave node performs operation parameter configuration, the slave node transmits a data request through the master node first, and acquires a parameter packet based on the data request to perform self operation parameter configuration. In order to ensure that the flow of the request parameter packet is legal, the slave node of the request parameter packet needs to be subjected to identity verification, based on the identity contained in the data request, the master node inquires an identity list and judges whether the identity of the data request exists in the identity list, if so, the slave node is legal, the master node responds to the data request and sends the parameter packet to the corresponding slave node for operating parameter configuration. Otherwise, if the identity of the slave node is not verified, the data request is ignored. And responding to the data request of each slave node by the master node to send the parameter packet to each slave node so as to complete the operation parameter configuration of each slave node.
S130, the data management server generates an update parameter package based on the current grouped update configuration data, sends the update parameter package to the master node, and the master node updates the self operation parameters based on the update parameter package and sends the update parameter package to each slave node based on the identity list.
Furthermore, when the operation parameters of each intelligent electric meter grouped by the current electric meter need to be updated, operation and maintenance personnel set updating configuration data correspondingly, the updating configuration data are extracted by the data management server to generate an updating parameter package, the updating parameter package is directly sent to the main node, and the main node correspondingly updates the operation parameters of the main node and each slave node based on the updating parameter package. And when the operation parameters of each slave node are updated, each slave node is determined according to the identity list, and the update parameter packet is sent to each slave node to configure the operation parameters.
In one embodiment, when the master node detects that the operation parameters of the corresponding slave nodes are lost or equipment is upgraded, the master node sends the parameter packet to the corresponding slave nodes to reconfigure the operation parameters. In addition, when the new electric meter is accessed into the current grouping, the main node also sends the parameter packet to the configuration corresponding to the operation parameters of the new electric meter. Since the intelligent electric meters corresponding to the same electric meter group are the same, the process of manually configuring the operation parameters can be reduced and the configuration efficiency of the operation parameters can be improved by using the backup parameter package for the operation parameter configuration. And the master node configures the operation parameters of all slave nodes of the same ammeter group, the master node and the slave node correspond to the same ammeter group, the communication distance is relatively short, the influence of signal fading in the transmission process of the operation parameters can be reduced, and the stability of the operation parameter configuration is improved.
The data management server sets a main node and a plurality of slave nodes based on each intelligent electric meter grouped currently, acquires unified configuration data corresponding to each intelligent electric meter grouped currently, generates a parameter package based on the unified configuration data, generates an identity list based on the identity of each intelligent electric meter grouped currently, sends the parameter package and the identity list to the main node for backup storage, and distributes the identity of the main node to each slave node; the master node configures self operation parameters based on the parameter packet, receives data requests of all slave nodes, the data requests comprise identity identifications of the slave nodes, compares the identity lists based on the data requests to verify whether the identities of all the slave nodes are legal or not, and if yes, distributes the parameter packet to all the slave nodes to configure the operation parameters in response to the data requests; the data management server generates an update parameter package based on the current grouped update configuration data, sends the update parameter package to the master node, and the master node updates the self operation parameters based on the update parameter package and sends the update parameter package to each slave node based on the identity list. The intelligent electric meter operation parameter storage system can safely backup and store the intelligent electric meter operation parameters, is convenient for the efficient configuration of the intelligent electric meter operation parameters, reduces the operation parameter storage pressure of the data management server, and optimizes the operation parameter management of each intelligent electric meter.
Example two:
on the basis of the foregoing embodiment, fig. 4 is a schematic structural diagram of an operation parameter configuration management device of an electric power internet of things according to a second embodiment of the present application. Referring to fig. 4, the operation parameter configuration management device of the power internet of things provided in this embodiment specifically includes: a setting module 21, a first configuration module 22 and a second configuration module 23.
The setting module 21 is configured to set a master node and a plurality of slave nodes based on currently grouped smart meters through the data management server, acquire unified configuration data corresponding to the currently grouped smart meters, generate a parameter package based on the unified configuration data, generate an identity list based on the identity of the currently grouped smart meters, send the parameter package and the identity list to the master node for backup storage, and distribute the identity of the master node to each of the slave nodes;
the first configuration module 22 is configured to configure, by the master node, its own operating parameters based on the parameter packet, and receive a data request of each slave node, where the data request includes an identity of the slave node, compare the identity list based on the data request to verify whether the identity of each slave node is legal, and if so, distribute the parameter packet to each slave node in response to the data request to perform operating parameter configuration;
the second configuration module 23 is configured to generate, by the data management server, an update parameter packet based on currently grouped update configuration data, send the update parameter packet to the master node, where the master node updates its own operating parameter based on the update parameter packet, and sends the update parameter packet to each slave node based on the identity list.
The data management server sets a main node and a plurality of slave nodes based on each intelligent electric meter grouped currently, acquires unified configuration data corresponding to each intelligent electric meter grouped currently, generates a parameter package based on the unified configuration data, generates an identity list based on the identity of each intelligent electric meter grouped currently, sends the parameter package and the identity list to the main node for backup storage, and distributes the identity of the main node to each slave node; the master node configures self operation parameters based on the parameter packet, receives data requests of all slave nodes, the data requests comprise identity identifications of the slave nodes, compares the identity lists based on the data requests to verify whether the identities of all the slave nodes are legal or not, and if yes, distributes the parameter packet to all the slave nodes to configure the operation parameters in response to the data requests; the data management server generates an update parameter package based on the current grouped update configuration data, sends the update parameter package to the master node, and the master node updates the self operation parameters based on the update parameter package and sends the update parameter package to each slave node based on the identity list. The intelligent electric meter operation parameter storage system can safely backup and store the intelligent electric meter operation parameters, is convenient for the efficient configuration of the intelligent electric meter operation parameters, reduces the operation parameter storage pressure of the data management server, and optimizes the operation parameter management of each intelligent electric meter.
The operation parameter configuration management device of the power internet of things provided by the second embodiment of the application can be used for executing the operation parameter configuration management method of the power internet of things provided by the first embodiment of the application, and has corresponding functions and beneficial effects.
Example three:
an embodiment of the present application provides an electronic device, and with reference to fig. 5, 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 operating parameter configuration management method of the power internet of things according to any embodiment of the present application (for example, a setting module, a first configuration module, and a second configuration module in the operating parameter configuration management device of the power internet of things). 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 and data processing of the device by running software programs, instructions and modules stored in the memory, that is, the above-mentioned operation parameter configuration management method of the power internet of things is realized.
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 by the embodiment can be used for executing the operation parameter configuration management method of the power internet of things provided by the embodiment one, and has corresponding functions and beneficial effects.
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 managing configuration of operating parameters of an internet of things for electric power, where the method for managing configuration of operating parameters of the internet of things for electric power includes: the data management server sets a main node and a plurality of slave nodes based on each intelligent electric meter grouped currently, acquires unified configuration data corresponding to each intelligent electric meter grouped currently, generates a parameter package based on the unified configuration data, generates an identity list based on the identity of each intelligent electric meter grouped currently, sends the parameter package and the identity list to the main node for backup storage, and distributes the identity of the main node to each slave node; the main node configures self operation parameters based on the parameter packet and receives data requests of all the slave nodes, the data requests comprise identity marks of the slave nodes, the identity list is compared based on the data requests to verify whether the identity of all the slave nodes is legal or not, and if yes, the parameter packet is distributed to all the slave nodes to perform operation parameter configuration in response to the data requests; the data management server generates an update parameter package based on the current grouped update configuration data, sends the update parameter package to the master node, and the master node updates the self operation parameters based on the update parameter package and sends the update parameter package to each slave node based on the identity list. 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, DDR RAM, SRAM, EDO RAM, 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 containing the computer-executable instructions provided in the embodiments of the present application is not limited to the above-described operation parameter configuration management method for the power internet of things, and may also perform related operations in the operation parameter configuration management method for the power internet of things provided in any embodiment of the present application.
The operation parameter configuration management device, the storage medium, and the electronic device of the power internet of things provided in the foregoing embodiments may execute the operation parameter configuration management method of the power internet of things provided in any embodiment of the present application, and reference may be made to the operation parameter configuration management method of the power internet of things 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 (7)
1. An operation parameter configuration management method of an electric power Internet of things is characterized by comprising the following steps:
the data management server sets a main node and a plurality of slave nodes based on each intelligent electric meter grouped currently, acquires unified configuration data corresponding to each intelligent electric meter grouped currently, generates a parameter package based on the unified configuration data, generates an identity list based on the identity of each intelligent electric meter grouped currently, sends the parameter package and the identity list to the main node for backup storage, and distributes the identity of the main node to each slave node;
the main node configures self operation parameters based on the parameter packet and receives data requests of all the slave nodes, the data requests comprise identity marks of the slave nodes, the identity list is compared based on the data requests to verify whether the identity of all the slave nodes is legal or not, and if yes, the parameter packet is distributed to all the slave nodes to perform operation parameter configuration in response to the data requests;
the data management server generates an update parameter package based on the current grouped update configuration data, sends the update parameter package to the master node, and the master node updates the self operation parameters based on the update parameter package and sends the update parameter package to each slave node based on the identity list;
when the parameter packet and the identity list are sent to the main node for backup storage, the method further comprises the following steps:
encrypting the parameter packet by using an encryption key pre-distributed by a third-party server and sending the parameter packet to the main node;
correspondingly, before the master node configuring its own operating parameters based on the parameter packet, the method further includes:
decrypting the parameter packet by using a decryption key pre-distributed by a third-party server;
after the data management server sets a master node and a plurality of slave nodes based on the currently grouped smart meters, the method further comprises the following steps:
the data management server sends the identity of the main node to the third-party server, the third-party server generates the encryption key and the decryption key based on the identity of the main node, sends the encryption key to the data management server, and sends the decryption key to the main node;
after sending the encryption key to the data management server and sending the decryption key to the master node, the method further includes:
and the third-party server updates the encryption key to the data management server every other key management period, and correspondingly updates the decryption key and sends the decryption key to the main node.
2. The operation parameter configuration management method of the power internet of things as claimed in claim 1, wherein the data management server sets a master node and a plurality of slave nodes based on the currently grouped smart meters, and further comprises:
and the data management server selects one intelligent electric meter as a main node based on the storage state of each intelligent electric meter which is currently grouped.
3. The operation parameter configuration management method of the power internet of things as claimed in claim 1, wherein the data management server sets a master node and a plurality of slave nodes based on the currently grouped smart meters, and further comprises:
and the data management server selects one intelligent electric meter as a main node based on the signal test results of the data management server and the current grouped intelligent electric meters.
4. The method for configuration management of operating parameters of the internet of things for electric power of claim 1, wherein after the data management server sets a master node and a plurality of slave nodes based on the currently grouped smart meters, the method further comprises:
and the data management server performs setting of the master node and the slave node again every other node management period based on each currently grouped smart electric meter.
5. The utility model provides an operation parameter configuration management device of electric power thing networking which characterized in that includes:
the setting module is used for setting a main node and a plurality of slave nodes based on each intelligent electric meter grouped currently through the data management server, acquiring unified configuration data corresponding to each intelligent electric meter grouped currently, generating a parameter package based on the unified configuration data, generating an identity list based on the identity of each intelligent electric meter grouped currently, sending the parameter package and the identity list to the main node for backup storage, and distributing the identity of the main node to each slave node;
a first configuration module, configured to configure, by the master node, a self-operation parameter based on the parameter packet, and receive a data request of each slave node, where the data request includes an identity of the slave node, and compare the identity list based on the data request to verify whether an identity of each slave node is legal, and if so, distribute the parameter packet to each slave node in response to the data request to perform operation parameter configuration;
the second configuration module is used for generating an update parameter package based on the current grouped update configuration data through the data management server, sending the update parameter package to the master node, updating the self operation parameters of the master node based on the update parameter package, and sending the update parameter package to each slave node based on the identity list;
when the parameter packet and the identity list are sent to the main node for backup storage, the method further comprises the following steps:
encrypting the parameter packet by using an encryption key pre-distributed by a third-party server and sending the parameter packet to the main node;
correspondingly, before the master node configuring its own operating parameters based on the parameter packet, the method further includes:
decrypting the parameter packet by using a decryption key pre-distributed by a third-party server;
after the data management server sets a master node and a plurality of slave nodes based on the currently grouped smart meters, the method further comprises the following steps:
the data management server sends the identity of the main node to the third-party server, the third-party server generates the encryption key and the decryption key based on the identity of the main node, sends the encryption key to the data management server, and sends the decryption key to the main node;
after sending the encryption key to the data management server and sending the decryption key to the master node, the method further includes:
and the third-party server updates the encryption key to the data management server every other key management period, and correspondingly updates the decryption key and sends the decryption key to the main node.
6. 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 managing configuration of operating parameters of the power internet of things as recited in any one of claims 1-4.
7. A storage medium containing computer executable instructions, which when executed by a computer processor, are configured to perform the method of managing configuration of operating parameters of a power internet of things as claimed in any one of claims 1 to 4.
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