CN115460647A - Internet of things fault positioning method and system based on eSIM card and 5G base station - Google Patents
Internet of things fault positioning method and system based on eSIM card and 5G base station Download PDFInfo
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- CN115460647A CN115460647A CN202211294106.8A CN202211294106A CN115460647A CN 115460647 A CN115460647 A CN 115460647A CN 202211294106 A CN202211294106 A CN 202211294106A CN 115460647 A CN115460647 A CN 115460647A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
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Abstract
The invention discloses an eSIM card and 5G base station-based Internet of things fault positioning method and system, which comprises the steps of constructing an electric equipment Internet of things deployed in cooperation with a 5G base station; carrying out fault identification on nodes in the power equipment Internet of things to obtain fault nodes; and screening the 5G base stations according to the fault nodes, extracting time data corresponding to the fault data in the screened 5G base stations, and analyzing the time data through a base station positioning method to obtain a fault positioning result of the power equipment Internet of things. Through the technical scheme, the data transmission speed and range can be increased, and accurate judgment, identification and positioning of the fault node can be carried out on the basis of the data transmission speed and range.
Description
Technical Field
The invention relates to the technical field of fusion application of a 5G communication technology and a power Internet of things, in particular to an Internet of things fault positioning method and system based on an eSIM card and a 5G base station.
Background
The application of the Internet of things in the smart grid is the result of the development of the information communication technology to a certain stage, communication infrastructure resources and power system infrastructure resources are effectively integrated, the informatization level of the power system is improved, the utilization efficiency of the existing infrastructure of the power system is improved, and important technical support is provided for links of power grid generation, transmission, transformation, distribution, power utilization and the like. Because the power grid becomes the basic energy of society, with the continuous rising of power load and the increasing of the quantity of electrical equipment, the hidden trouble of equipment failure, frequent safety accidents such as failure power failure, electrical fire and the like can not be found in time, the equipment still depends on manpower for operation and maintenance, the response of failure maintenance is slow, the routing inspection process is difficult to control, and the management of the whole life cycle of the equipment is lacked.
The electric wire netting is at its practical application in-process, and the node in the power equipment thing networking is numerous, to the setting of node, usually carries out the differentiation of node through the form of node label, can carry out the data acquisition of different regional positions through different node labels after differentiating. However, the power equipment internet of things node uses a fixed node, and when the fixed node is in use, node movement may occur to cause a node fault, so that the node cannot be accurately positioned. The technology of the invention is an important technological innovation direction of smart power grid operation and maintenance, aims to improve the power operation safety of a user side and reduce the operation and maintenance cost, and realizes the organic integration of digital online monitoring and offline maintenance processing of power asset equipment operation by establishing an omnibearing informatization and digitization platform of a power grid operation and maintenance system, thereby promoting the improvement of operation and maintenance service quality and reducing the operation and maintenance cost.
Disclosure of Invention
In order to solve the problem that the nodes of the power equipment internet of things cannot be accurately positioned when the nodes of the power equipment internet of things break down in the prior art, the invention provides the power equipment internet of things fault positioning method and system deployed in cooperation with 5G, which can improve the speed and range of data transmission and accurately position fault nodes on the basis of the speed and range.
In order to achieve the technical purpose, the invention provides the following technical scheme: an Internet of things fault positioning method based on an eSIM card and a 5G base station comprises the following steps:
constructing an electric power equipment Internet of things deployed in cooperation with a 5G base station; carrying out fault identification on nodes in the power equipment Internet of things to obtain fault nodes; and screening the 5G base stations according to the fault nodes, extracting time data corresponding to the fault data in the screened 5G base stations, and analyzing the time data through a base station positioning method to obtain a fault positioning result of the power equipment Internet of things.
Optionally, the power equipment internet of things deployed in cooperation with 5G includes a sensing node, a gateway device, a server and a data cloud platform, wherein the sensing node, the gateway device, the server and the data cloud platform are sequentially connected, and the connection is performed in cooperation with a 5G base station for data transmission; a single gateway device is connected with a plurality of sensing nodes; a single server corresponds to a plurality of gateway devices; the data cloud platform corresponds to a plurality of servers, and the sensing nodes, the gateway equipment, the servers and the data cloud platform are all provided with eSIM cards.
Optionally, the process of identifying the node fault in the power equipment internet of things includes:
acquiring received data of nodes in the power equipment Internet of things, performing primary screening on the received data, identifying the received data through a deep learning model based on a primary screening result, analyzing the identification result, and acquiring a fault node; the deep learning model adopts a convolutional neural network which is trained in a transfer learning mode.
Optionally, the process of screening the 5G base station includes:
selecting fault data transmitted by a fault node, intercepting the fault data, extracting a transmission data record in a base station, comparing the similarity of the transmission data record and the fault data, and screening the base station according to a comparison result to obtain a screened base station.
Optionally, the process of analyzing the time data by using the base station positioning method includes:
extracting the time data, acquiring the position data of the screened base station, and analyzing and calculating the time data and the position data by a time difference algorithm to obtain a fault positioning result of the power equipment internet of things.
In order to better achieve the technical purpose, the invention provides an internet of things fault positioning system based on an eSIM card and a 5G base station, comprising:
the device comprises an identification module and a positioning module; the identification module is used for constructing an electric power equipment Internet of things deployed in cooperation with the 5G base station; carrying out fault identification on nodes in the power equipment Internet of things to obtain fault nodes;
the positioning module is used for screening the 5G base stations according to the fault nodes, extracting time data corresponding to the fault data in the screened 5G base stations, and analyzing the time data through a base station positioning method to obtain a fault positioning result of the power equipment internet of things.
Optionally, in the identification module, the power equipment internet of things deployed in cooperation with the 5G base station includes a sensing node, a gateway device, a server and a data cloud platform, where the sensing node, the gateway device, the server and the data cloud platform are connected in sequence, and all the connections cooperate with the 5G base station to perform data transmission; a single gateway device is connected with a plurality of sensing nodes; a single server corresponds to a plurality of gateway devices; the data cloud platform corresponds to a plurality of servers, and the sensing nodes, the gateway equipment, the servers and the data cloud platform are all provided with eSIM cards.
Optionally, the identification module includes a first identification module, where the first identification module is configured to obtain received data of a node in the power equipment internet of things, perform preliminary screening on the received data, identify the received data through a deep learning model based on a preliminary screening result, analyze the identification result, and obtain a fault node; the deep learning model adopts a convolutional neural network which is trained in a transfer learning mode.
Optionally, the positioning module includes a first positioning module, where the first positioning module is configured to select fault data transmitted by the fault node, intercept the fault data, extract a transmission data record in the base station, compare the similarity between the transmission data record and the fault data, and screen the base station according to a comparison result to obtain a screened base station.
Optionally, the positioning module includes a second positioning module, where the second positioning module is configured to extract the time data, acquire the position data of the screened base station, and analyze and calculate the time data and the position data by using a time difference algorithm, so as to obtain a fault positioning result of the internet of things of the power equipment.
The invention has the following technical effects:
through the technical scheme, faults in the power equipment Internet of things with numerous nodes and deployed in cooperation with 5G can be accurately positioned, when the power equipment Internet of things is constructed, the 5G base station is selected as the data transmission node, the speed and the range of data transmission are improved, the fault node is accurately positioned on the basis of the speed and the range, meanwhile, the power equipment Internet of things with numerous nodes does not need an additional positioning device in the fault positioning process, and the hardware cost is reduced.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to solve the problems existing in the prior art, the invention provides the following scheme:
as shown in fig. 1, the invention provides an eSIM card and 5G base station-based internet of things fault location method, which includes constructing an electric power equipment internet of things with a 5G base station as a transmission node, constructing the electric power equipment internet of things in the invention as an electric power equipment internet of things deployed in cooperation with the 5G base station, namely a distributed electric power equipment internet of things, acquiring and calculating data more comprehensively and more rapidly through a distributed physical network, meanwhile, taking the 5G base station as a transmission basis, further improving the transmission speed and range of the electric power equipment internet of things, identifying faults in the electric power equipment internet of things after completing data acquisition and analysis of the electric power equipment internet of things, extracting relevant data from the base station according to the base station through which the fault tracing fault is transmitted, and accurately locating the node through a base station location method based on the relevant data.
The technical scheme of the invention takes the Internet of things of the power equipment of the power grid as an embodiment to specifically describe the steps:
according to the power equipment Internet of things, firstly, a power equipment Internet of things deployed in cooperation with 5G is constructed, sensing nodes, gateway equipment, a server and a data cloud platform are arranged in the power equipment Internet of things, fixed nodes are fixedly arranged on different power nodes in a power grid in the power equipment Internet of things, power related sensing devices such as current sensors, voltage sensors and fixed power node image sensors are arranged, mobile nodes are selected according to related lines of the power grid, and high-voltage lines are all-autonomous inspection unmanned aerial vehicles. After the nodes are selected, the nodes in a certain area are connected with gateway equipment for transmitting data in the area through a 5G base station in a data transmission mode, the gateway equipment is responsible for converting and transmitting data collected by a plurality of sensing nodes monitoring the same data type in the area, for example, a sensor for monitoring voltage in the area is connected with the gateway equipment, and a sensor for monitoring current data is connected with the gateway equipment. Meanwhile, the gateway equipment is connected with the server; the method comprises the steps that a server receives data of gateway equipment, the data of the gateway equipment are subjected to power grid related monitoring analysis, the data in the monitoring analysis comprise sensor acquisition data, time information of sensor periodic broadcast corresponding to the acquisition data and label addresses of labels and gateways, the time information is used for tracing the data, in the monitoring analysis process, the server is connected with a plurality of gateway equipment according to the regional position relation, all the gateway equipment in the region are connected through the server to achieve large-range power monitoring analysis of the region, meanwhile, a data cloud platform is arranged, the data of the servers in different regions are received through the data cloud platform, data storage and integral data analysis on the cloud are carried out on the data uploaded by the server, and the power equipment internet of things deployed in cooperation with 5G is constructed through the arrangement.
The data transmission is carried out by coordinating the 5G base stations in the transmission process, in the process of constructing the Internet of things, the detection positions and the detection ranges of the infrastructures or assets of the electric power facilities such as substations, power grid towers and high-voltage lines in the electric power grid are fixed, after the Internet of things is set, two or more 5G base stations are required to be deployed in a later-stage distributed mode in a certain area of a detection node of the Internet of things to keep effective use and accurate positioning of subsequent node detection, and meanwhile, the eSIM cards are arranged in the sensing node, the gateway equipment, the server and the data cloud platform, are small in size and low in cost, and can effectively realize 5G communication by taking the eSIM cards as communication devices connected with the 5G base stations. Regard as the transmission medium among the data transmission process through 5G, effectively promote data transmission efficiency among the power equipment thing networking, and carry out transient reservation through processing unit and the storage medium in the 5G basic station with the data of transmission in the physical network, and the time of recording receipt transmission data, if set up certain cycle, keep in certain cycle, when the time reaches a cycle, delete data, guarantee storage space's validity, the data of transient reservation simultaneously are as the basis of tracing to the source of trouble node.
The fault process in the power equipment Internet of things comprises the following steps: the method comprises the steps of not only carrying out preliminary screening on data transmitted back by the power equipment Internet of things, in the screening process, screening whether the problem of data receiving loss occurs or not, identifying whether a sensing node or gateway equipment is damaged or not without response under the condition of loss, searching sensor labels and gateway label addresses in the data, searching the lost sensor labels and the corresponding gateway label addresses at the same time, recording the lost labels and addresses if the phenomenon of the sensor labels and the label addresses occurs, marking the lost labels and addresses as non-response faults, recording the nodes and marking the nodes as the non-response fault nodes.
If the situation does not exist, fault recognition is carried out on the received data through the deep learning network, the deep learning network of the embodiment adopts the CNN-LSTM network to recognize the received data, spatial features of signals can be effectively extracted through the CNN network in the network model, temporal features of the signals can be effectively extracted through the LSTM network, and information contained in the signals can be comprehensively extracted. Signals generated by power grid faults and signals generated by node faults in the power equipment Internet of things have certain differences, the fault of one node in the power grid nodes in the power grid faults can cause the abnormity of a plurality of nodes, and the fault of a single node in the power equipment Internet of things cannot have any influence on data acquisition of other monitoring nodes. A neural network model is established according to the signal difference for identification, the neural network in the embodiment is sequentially connected and arranged as an input layer, a CNN network, an LSTM network and an output layer, a weighted averaging module is further arranged between the LSTM network layer and the output layer, the weighted averaging module is connected with the CNN network output and the LSTM network output for weighting and operation to fuse the space-time characteristic output of the signals, corresponding fault data are output through the output layer, in the input layer, data in a digital signal form transmitted by sensing nodes under the same gateway equipment at the same time are intercepted in a fixed length mode to form a set, the set is spliced to generate a corresponding sensing node measurement matrix, the measurement matrix is used as the input of the input layer, the CNN and LSTM networks identify the characteristics in the measurement matrix, weighted averaging processing is carried out, the output layer is used for setting whether a fault exists or not, the fault type is a power grid fault or a fault of the power equipment, a set corresponding to the Internet of things is pointed out, and the node corresponding to determine the fault of the power equipment.
In the process of testing the deep learning network, fault recognition is carried out through a server of the power equipment internet of things, the fault recognition is set as local calculation instead of cloud calculation, the fault recognition response speed is improved, meanwhile, the deep learning network is trained on a cloud platform, the same deep learning network as the server is stored in the cloud platform, the cloud platform extracts stored historical data of the same type, lines represent the length of intercepted characters according to the number of the lines and the columns of a measurement matrix, the intercepted characters are listed as the number of measurement nodes, the historical data are screened and intercepted to form a training measurement matrix, fault types and sets corresponding to the measurement matrix are marked to form a training set, the deep learning network model is trained through the training set, after the training is finished, the trained deep learning network model parameters are extracted and transmitted to the server, the server adjusts the local deep learning network according to the model parameters transmitted by the cloud platform to achieve transfer learning training, in the process, the transfer mode of cloud training can effectively improve the capacity of local recognition on the basis of locally calculating less calculated amount, meanwhile, the cloud platform can carry out periodic training, the periodic training of the local deep learning network, the local transfer mode can transfer the local recognition results, and accuracy of the fault recognition data in the model is improved.
After a fault node of the power equipment internet of things is determined, intercepting data transmitted by the fault node according to a label of the fault node, wherein the intercepting length is determined according to manual experience, the intercepted content needs to include data input by fault identification, after interception, extracting data reserved in a base station, searching an internet of things node label through a keyword searching method after extraction, extracting transmission data corresponding to the node label, segmenting the corresponding transmission data by the same length as the intercepted data, comparing the segmented data with the intercepted data, comparing the similarity of character sequences in the similarity comparison, extracting segmentation data with the first similarity sequence, judging the base station to which the segmentation data belongs, screening out the base station used by the transmission data of the fault point, on the basis, searching nearby base stations to position the transmission data, specifically, taking the center of the base station as the circle, drawing a circle area by taking a preset range as the radius, setting the preset range through manual experience, counting the base stations in the area, and simultaneously counting node time information corresponding to the intercepted data, namely the fault time information.
According to the fault node label, searching for the node broadcast receiving label reserved by the base station after statistics in a keyword retrieval mode, searching for all time data of the node label reserved by the base station, judging node broadcast time information reserved in the base station closest to the node fault time information, counting the base station built-in time information when different base stations receive the node broadcast time information according to the closest node broadcast time information, resolving the base station built-in time information and the base station position through a time difference reaching algorithm, finally obtaining a fault node position, namely a fault positioning result of the power equipment internet of things, and maintaining and replacing the power equipment internet of things node according to the fault node position.
For the non-response node, the last broadcast time corresponding to the non-response node label is searched through the keywords, the base station time corresponding to the last three broadcast times in all the base stations is extracted, the time data and the base station position are solved through a time difference reaching algorithm, the fault position range of the non-response node is obtained, and the non-response node can be searched, searched and maintained according to the range.
Through the technical scheme, faults in the power equipment Internet of things with numerous nodes and deployed in cooperation with 5G can be accurately positioned, when the power equipment Internet of things is constructed, the 5G base station is selected as a data transmission node, the speed and the range of data transmission are improved, accurate positioning of the fault node is carried out on the basis of the speed and the range, meanwhile, the power equipment Internet of things with numerous nodes is achieved, an additional positioning device is not needed in the fault positioning process, only a simple clock broadcast circuit in the positioning device is needed, the positioning resolving process is handed over to the server side, the hardware cost is reduced, and the positioning power of the power equipment Internet of things node is reduced.
The above description takes a power grid as an embodiment, and the method of the present invention is also applicable to the existing internet of things deployed cooperatively in 5G.
In order to better achieve the technical purpose, the invention provides an internet of things fault positioning system based on an eSIM card and a 5G base station, which comprises:
the device comprises an identification module and a positioning module; the identification module is used for cooperating with the power equipment Internet of things deployed by the 5G base station; carrying out fault identification on nodes in the power equipment Internet of things to obtain fault nodes;
the positioning module is used for screening the 5G base stations according to the fault nodes, extracting time data corresponding to the fault data in the screened 5G base stations, and analyzing the time data through a base station positioning method to obtain a fault positioning result of the power equipment Internet of things. The system corresponds to the method flow, and is not described herein.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are given by way of illustration of the principles of the present invention, but that various changes and modifications may be made without departing from the spirit and scope of the invention, and such changes and modifications are within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. An Internet of things fault location method based on an eSIM card and a 5G base station is characterized by comprising the following steps:
constructing an electric power equipment Internet of things deployed in cooperation with a 5G base station; carrying out fault identification on nodes in the power equipment Internet of things to obtain fault nodes; and screening the 5G base stations according to the fault nodes, extracting time data corresponding to the fault data in the screened 5G base stations, and analyzing the time data by using a base station positioning method to obtain a fault positioning result of the power equipment Internet of things.
2. The positioning method according to claim 1, wherein:
the power equipment Internet of things deployed in cooperation with the 5G comprises sensing nodes, gateway equipment, a server and a data cloud platform, wherein the sensing nodes, the gateway equipment and the server are sequentially connected with the data cloud platform, and data transmission is carried out in cooperation with a 5G base station in connection; a single gateway device is connected with a plurality of sensing nodes; a single server corresponds to a plurality of gateway devices; the data cloud platform corresponds to a plurality of servers, and the sensing nodes, the gateway equipment, the servers and the data cloud platform are all provided with eSIM cards.
3. The positioning method according to claim 1, characterized in that:
the node fault identification process in the power equipment Internet of things comprises the following steps:
acquiring received data of nodes in the power equipment Internet of things, performing primary screening on the received data, identifying the received data through a deep learning model based on a primary screening result, analyzing the identification result, and acquiring a fault node; the deep learning model adopts a convolution neural network trained in a transfer learning mode.
4. The positioning method according to claim 1, characterized in that:
the process of screening the 5G base stations comprises the following steps:
selecting fault data transmitted by a fault node, intercepting the fault data, extracting a transmission data record in a base station, comparing the similarity of the transmission data record and the fault data, and screening the base station according to a comparison result to obtain a screened base station.
5. The positioning method according to claim 1, wherein:
the process of analyzing the time data by the base station positioning method comprises the following steps:
extracting the time data, acquiring the position data of the screened base station, and analyzing and calculating the time data and the position data by a time difference algorithm to obtain a fault positioning result of the power equipment internet of things.
6. The positioning system based on the eSIM card and 5G base station based Internet of things fault positioning method of any one of claims 1-5, comprising:
the device comprises an identification module and a positioning module; the identification module is used for constructing an electric power equipment Internet of things deployed in cooperation with the 5G base station; carrying out fault identification on nodes in the power equipment Internet of things to obtain fault nodes;
the positioning module is used for screening the 5G base stations according to the fault nodes, extracting time data corresponding to the fault data in the screened 5G base stations, and analyzing the time data through a base station positioning method to obtain a fault positioning result of the power equipment internet of things.
7. The positioning system of claim 6, wherein:
in an identification module, the power equipment internet of things deployed in cooperation with 5G comprises a sensing node, gateway equipment, a server and a data cloud platform, wherein the sensing node, the gateway equipment and the server are sequentially connected with the data cloud platform, and data transmission is carried out in cooperation with a 5G base station in the connection; the single gateway device is connected with a plurality of sensing nodes; the single server corresponds to a plurality of gateway devices; the data cloud platform corresponds to a plurality of servers, and the sensor nodes, the gateway equipment, the servers and the data cloud platform are all provided with eSIM cards.
8. The positioning system of claim 6, wherein:
the identification module comprises a first identification module, wherein the first identification module is used for acquiring received data of nodes in the power equipment Internet of things, performing primary screening on the received data, identifying the received data through a deep learning model based on a primary screening result, analyzing the identification result and acquiring a fault node; the deep learning model adopts a convolutional neural network trained in a transfer learning mode.
9. The positioning system of claim 6, wherein:
the positioning module comprises a first positioning module, wherein the first positioning module is used for selecting fault data transmitted by a fault node, intercepting the fault data, extracting transmission data records in the base station, comparing the similarity of the transmission data records and the fault data, and screening the base station according to a comparison result to obtain the screened base station.
10. The positioning system of claim 6, wherein:
the positioning module comprises a second positioning module, wherein the second positioning module is used for extracting time data, acquiring position data of the screened base station, and analyzing and calculating the time data and the position data by a time difference algorithm to obtain a fault positioning result of the power equipment internet of things.
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