CN115529322B - Distribution network production integrated management system based on intelligent equipment - Google Patents
Distribution network production integrated management system based on intelligent equipment Download PDFInfo
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- CN115529322B CN115529322B CN202210760359.3A CN202210760359A CN115529322B CN 115529322 B CN115529322 B CN 115529322B CN 202210760359 A CN202210760359 A CN 202210760359A CN 115529322 B CN115529322 B CN 115529322B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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Abstract
The invention discloses a distribution network production integrated management system based on intelligent equipment, which comprises the intelligent equipment, a communication network, a management client and an intelligent management cloud platform; the intelligent equipment is used for acquiring monitoring data of the power equipment; the communication network is used for transmitting the monitoring data to the intelligent management cloud platform; the management client is used for acquiring management data of the intelligent equipment and transmitting the management data to the intelligent management cloud platform; the intelligent management cloud platform is used for processing the monitoring data, monitoring the state of the monitoring power equipment based on the monitoring data and carrying out full life cycle management on the intelligent equipment based on the management data. In the process of managing the power distribution network, the full life cycle management module is arranged in the intelligent management cloud platform of the cloud to manage the intelligent equipment in full life cycle besides monitoring the power equipment. The intelligent equipment is beneficial to avoiding the influence on the monitoring result of the power equipment due to out-of-service limit or damage.
Description
Technical Field
The invention relates to the technical field of electric power, in particular to a comprehensive management system for distribution network production based on intelligent equipment.
Background
Electric power is a fundamental industry supporting economic development, and the development level of electric power distribution networks can greatly affect the development of the industry. In the process of managing the power distribution network, a monitoring process of various electric equipment is involved, and in the process of monitoring the electric equipment, various intelligent equipment such as a partial discharge device, a dynamic ring monitoring device and the like are needed. In the distribution network production management system in the prior art, tracking management of intelligent equipment is lacking, so that the intelligent equipment can easily obtain error data due to out-of-service or damage, and the accuracy of monitoring results of power equipment is influenced.
Disclosure of Invention
The invention aims to disclose a distribution network production integrated management system based on intelligent equipment, which solves the problems that in the prior art, tracking management of the intelligent equipment is lacking, the intelligent equipment is easy to obtain error data due to out-of-service period or damage, and the accuracy of monitoring results of power equipment is influenced.
In order to achieve the above purpose, the invention adopts the following technical scheme:
the comprehensive management system for the production of the distribution network based on the intelligent equipment comprises the intelligent equipment, a communication network, a management client and an intelligent management cloud platform;
the intelligent equipment is used for acquiring monitoring data of the power equipment and transmitting the monitoring data to the communication network;
the communication network is used for receiving the monitoring data from the intelligent equipment and transmitting the monitoring data to the intelligent management cloud platform;
the management client is used for acquiring management data of the intelligent equipment and transmitting the management data to the intelligent management cloud platform;
the intelligent management cloud platform is used for processing the monitoring data, monitoring the state of the monitoring power equipment based on the monitoring data and carrying out full life cycle management on the intelligent equipment based on the management data.
Preferably, the intelligent equipment comprises a partial discharge detection device, an oscillating wave detection device and an infrared detection device.
Preferably, the monitoring data includes discharge pulses, partial discharge signals and infrared images.
Preferably, the partial discharge detection device is used for acquiring a discharge pulse signal of the power equipment, the oscillatory wave detection device is used for acquiring a partial discharge signal of the power equipment, and the infrared detection device is used for acquiring an infrared image of the power equipment.
Preferably, the communication network comprises a local communication module and a remote communication module;
the local communication module is used for communicating with the intelligent equipment, receiving the monitoring data sent from the intelligent equipment and analyzing and sending the monitoring data to the remote communication module;
the remote communication module is used for sending the monitoring data to the intelligent management cloud platform.
Preferably, the local communication module comprises a wireless sensor communication node and a relay base station which are arranged in a distribution area of the power equipment;
the wireless sensor communication node is used for communicating with the intelligent equipment, receiving the monitoring data sent from the intelligent equipment and transmitting the monitoring data to the relay base station;
the relay base station is used for receiving the monitoring data from the wireless sensor communication node and transmitting the monitoring data to the remote communication module.
Preferably, the telecommunications module comprises a broadband communications network or a wireless cellular communications network.
Preferably, the intelligent management cloud platform comprises a storage module, a monitoring module and an intelligent equipment management module;
the storage module is used for storing the monitoring data transmitted by the communication network;
the monitoring module is used for monitoring the state of the monitoring power equipment based on the monitoring data;
the intelligent equipment management module is used for carrying out full life cycle management on the intelligent equipment based on the management data.
Preferably, the management client comprises a login module, an input module and a communication module;
the login module is used for carrying out login verification on staff using the input module;
the input module is used for inputting management data of the intelligent equipment through staff authenticated by login;
the communication module is used for transmitting the management data to the intelligent management cloud platform.
Preferably, the management data includes purchase date, usage record, age, maintenance record, and discard record.
In the process of managing the power distribution network, the management data of the intelligent equipment is acquired through the management client side besides monitoring the power equipment, and then the full life cycle management module is arranged in the intelligent management cloud platform of the cloud to manage the full life cycle of the intelligent equipment. The arrangement mode is beneficial to avoiding that the intelligent equipment obtains wrong data of the power equipment due to out-of-service or damage and influences the monitoring result of the power equipment.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a diagram of an exemplary embodiment of a distribution network production integrated management system based on intelligent equipment according to the present invention.
Fig. 2 is a diagram of an exemplary embodiment of the present invention for dividing a wireless sensor communication node into a plurality of regions.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
The invention provides an integrated management system for production of a distribution network based on intelligent equipment, which is shown in an embodiment of fig. 1, and comprises the intelligent equipment, a communication network, a management client and an intelligent management cloud platform;
the intelligent equipment is used for acquiring monitoring data of the power equipment and transmitting the monitoring data to the communication network;
the communication network is used for receiving the monitoring data from the intelligent equipment and transmitting the monitoring data to the intelligent management cloud platform;
the management client is used for acquiring management data of the intelligent equipment and transmitting the management data to the intelligent management cloud platform;
the intelligent management cloud platform is used for processing the monitoring data, monitoring the state of the monitoring power equipment based on the monitoring data and carrying out full life cycle management on the intelligent equipment based on the management data.
In the process of managing the power distribution network, the management data of the intelligent equipment is acquired through the management client side besides monitoring the power equipment, and then the full life cycle management module is arranged in the intelligent management cloud platform of the cloud to manage the full life cycle of the intelligent equipment. The arrangement mode is beneficial to avoiding that the intelligent equipment obtains wrong data of the power equipment due to out-of-service or damage and influences the monitoring result of the power equipment.
Preferably, the intelligent equipment comprises a partial discharge detection device, an oscillating wave detection device and an infrared detection device.
Preferably, the intelligent equipment can further comprise a pipe gallery robot, an intelligent helmet, an ultrahigh frequency detection device, a ground electric wave detection device and the like.
Preferably, the monitoring data includes discharge pulses, partial discharge signals and infrared images.
The piping lane robot can acquire monitoring data such as operation videos of the power equipment, infrared images, temperature, humidity, dangerous gas concentration and the like of the environment where the power equipment is located.
The hazardous gases include carbon monoxide, methane, sulfur hexafluoride, and the like.
The intelligent helmet is worn by electric staff, can acquire the video data of the in-process of overhauling power equipment.
The ultrahigh frequency detection device is used for acquiring an ultrahigh frequency detection map of the power equipment.
The ground wave detection device is used for a discharge signal of the power equipment.
Preferably, the partial discharge detection device is used for acquiring a discharge pulse signal of the power equipment, the oscillatory wave detection device is used for acquiring a partial discharge signal of the power equipment, and the infrared detection device is used for acquiring an infrared image of the power equipment.
Specifically, the power equipment includes a feeder line, a current limiting reactor, a transformer, a circuit breaker, and the like.
Preferably, the communication network comprises a local communication module and a remote communication module;
the local communication module is used for communicating with the intelligent equipment, receiving the monitoring data sent from the intelligent equipment and analyzing and sending the monitoring data to the remote communication module;
the remote communication module is used for sending the monitoring data to the intelligent management cloud platform.
Preferably, the local communication module comprises a wireless sensor communication node and a relay base station which are arranged in a distribution area of the power equipment;
the wireless sensor communication node is used for communicating with the intelligent equipment, receiving the monitoring data sent from the intelligent equipment and transmitting the monitoring data to the relay base station;
the relay base station is used for receiving the monitoring data from the wireless sensor communication node and transmitting the monitoring data to the remote communication module.
If a module with a cellular communication network is installed for each smart device, it is obvious that the cost of the smart device will increase. Therefore, the wireless communication nodes serving as communication relays are arranged in the distribution area of the power equipment, such as a transformer substation and the like, so that the wireless communication nodes are used for performing close range communication with the intelligent equipment, on one hand, monitoring data acquired by the intelligent equipment can be conveniently transmitted to the intelligent management cloud platform, on the other hand, the intelligent equipment has close range communication capability, and compared with the installation of the cellular network communication module, the cost is greatly reduced.
The near field communication can be a communication mode such as Bluetooth communication, zigBee communication, narrowband Internet of things and the like.
Preferably, as shown in fig. 2, the relay base station is further configured to perform a partition process on the wireless sensor communication node, and divide the wireless sensor communication node into a plurality of areas:
sending partition notification to all wireless sensor communication nodes;
receiving coordinates returned by the wireless sensor communication node;
dividing a distribution area of the power equipment into a plurality of rectangular areas with the same area, and numbering each rectangular area respectively;
respectively determining rectangular areas to which each wireless sensor communication node belongs according to the coordinates to obtain a partition result;
and sending the partition result to all wireless sensor communication nodes.
After the partitioning, the uniformity of the distribution of the cluster head nodes is improved, and the phenomenon that the transmission of data is influenced due to the lack of the cluster heads in partial areas caused by the random selection of the cluster heads is avoided.
The wireless sensor communication node transmits its own coordinates to the relay base station after receiving the partition notification.
Preferably, the cluster head node and the member node are generated as follows:
taking a rectangular area nearest to the relay base station as a first area S to be clustered 1 ；
From the first area S to be clustered 1 Cluster head node cluster 1 ；
The first area S to be clustered of the selected cluster head nodes 1 Storing the selected set aleu;
acquiring a second area S to be clustered according to a preset selection rule 2 The method comprises the steps of carrying out a first treatment on the surface of the From the second area S to be clustered 2 Cluster head node cluster 2 ；
Acquiring an nth region S to be clustered according to a preset selection rule n The method comprises the steps of carrying out a first treatment on the surface of the From the nth region S to be clustered n Cluster head node cluster n ；
Wherein N is E [1, N ], N represents the total number of rectangular areas,
wherein, the preset selection rules comprise that,
for the nth area S to be clustered n Will S n The distance from the relay base station is denoted as dist (S n )；
If and S n The distance between the relay base station and the existence of the adjacent rectangular area is equal to dist (S n ) The rectangular region P is taken as an n+1th region S to be clustered n+1 ；
If and S n There is no distance between the adjacent rectangular area and the relay base stationOff is equal to dist (S n ) Then cluster head will be located away from the rectangular region P of cluster head node n The nearest rectangular region is taken as the (n+1) th region S to be clustered n+1 。
By the arrangement mode, the cluster head nodes can be distributed more reasonably, and the cluster head nodes in the rectangular area can communicate with the cluster head nodes in another rectangular area better, so that the need of the cluster head nodes to communicate by means of member nodes is avoided.
The invention selects the areas to be clustered according to the order from near to far, and the smaller the distance is, the earlier the rectangular area is selected as the area to be clustered.
Preferably, the member node is used for communicating with the intelligent equipment, receiving the monitoring data sent from the intelligent equipment, and transmitting the monitoring data to the cluster head node in the rectangular area to which the member node belongs;
the cluster head node is used for transmitting the monitoring data sent by the member node to the relay base station.
Preferably, for the nth region S to be clustered n The cluster head node is acquired by the following steps:
nth area S to be clustered n Each wireless sensor communication node in the network calculates own clustering coefficient respectively;
the wireless sensor communication nodes exchange the clustering coefficients with each other every two so that the nth area S to be clustered n Each wireless sensor communication node in the network can acquire the clustering coefficients of other wireless sensor communication nodes;
the wireless sensor communication node maxnode with the largest clustering coefficient faces the nth area S to be clustered n The other wireless sensor communication nodes in (a) send notification messages for indicating that maxnode has become the nth area to be clustered S n Is a cluster head node;
the wireless sensor communication nodes except the cluster head node are taken as member nodes.
Preferably, the clustering coefficients are calculated as follows:
wherein, clustCoef k The clustering coefficient of the wireless sensor communication node k in the nth region to be clustered is represented; w (w) 1 、w 2 、w 3 Representing the weight parameters; r is R k Representing a communication radius of the wireless sensor communication node k; dist (dist) 1,k Representing the wireless sensor communication node k and the (n-1) th area S to be clustered n-1 Cluster head node cluster head in (a) n-1 A distance therebetween; dist (dist) 2,k Representing a distance between the wireless sensor communication node k and the relay base station; madittbs represents the maximum value of the distances between all wireless sensor communication nodes and the relay base station; phi k The comprehensive index of the wireless sensor communication node k is represented, and stcom represents a preset comprehensive index standard value;
wherein α, β, δ represent the ratio parameters, α+β+δ=1, lfter k Representing the current power of wireless sensor communication node k, inser k Indicating maximum power of wireless sensor communication node k, U k Representing a set of other wireless sensor communication nodes that are within the communication radius of wireless sensor communication node k, dist (k, j) representing wireless sensor communication nodes k and U k The distance between elements j in (numU) k Representing U k Total number of elements in R k Representing the communication radius of the wireless sensor communication node k, stnum represents a preset quantity reference value.
In the process of calculating the clustering coefficient of the nth area to be clustered, the invention considers the distance dist between the communication radius, the distance between the communication radius and the base station and the comprehensive index and the distance dist between the communication radius and the cluster head nodes in the nth-1 area to be clustered 1,k ，dist 1,k The smaller the clustering coefficient is, the larger the clustering coefficient of the wireless sensor communication node k is. The cluster head of the invention selects the area to be clusteredThe selection sequences of the two adjacent rectangular areas are combined with each other, so that the capability of directly communicating cluster head nodes in the two adjacent rectangular areas is effectively improved, the probability of data transfer is reduced, and the data transmission efficiency of the management system is improved.
Preferably, the telecommunications module comprises a broadband communications network or a wireless cellular communications network.
Preferably, the intelligent management cloud platform comprises a storage module, a monitoring module and an intelligent equipment management module;
the storage module is used for storing the monitoring data transmitted by the communication network;
the monitoring module is used for monitoring the state of the monitoring power equipment based on the monitoring data;
the intelligent equipment management module is used for carrying out full life cycle management on the intelligent equipment based on the management data.
Preferably, the intelligent equipment management module is further configured to perform ledger management on the intelligent equipment. The data related to the ledger management comprises the affiliated district, affiliated team, type and the like.
Preferably, the management client comprises a login module, an input module and a communication module;
the login module is used for carrying out login verification on staff using the input module;
the input module is used for inputting management data of the intelligent equipment through staff authenticated by login;
the communication module is used for transmitting the management data to the intelligent management cloud platform.
Preferably, the management data includes purchase date, usage record, age, maintenance record, and discard record.
The usage record may include data such as a user name, a location of use, a duration of use, etc.
Specifically, the management data may further include an equipment ID, a manufacturer, an operation and maintenance department to which the equipment belongs, a warehouse name, a warehouse location, a warranty period, a model, and the like.
Preferably, full life cycle management of the intelligent equipment based on the management data comprises:
and comparing the accumulated service time length of the intelligent equipment with the service life, judging whether the accumulated service time length is greater than the service life, and if so, prompting a worker to discard the intelligent equipment.
Specifically, the scrapping prompt for the staff can be realized by sending the device ID of the intelligent equipment which needs scrapping treatment to the management client.
Preferably, monitoring the status of the monitoring power device based on the monitoring data includes:
judging whether the monitoring data exceeds the normal value range;
and (3) calculating the risk degree of the power equipment based on the monitoring data, grading the power equipment according to the risk degree, and dividing the power equipment into different risk grades.
The risk class can be divided into a first-level risk, a second-level risk, a third-level risk, a fourth-level risk and a fifth-level risk according to the high-low risk degree, and the higher the risk degree is, the more close attention is required to the power equipment.
While embodiments of the invention have been shown and described, it will be understood by those skilled in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
It should be noted that, in each embodiment of the present invention, each functional unit/module may be integrated in one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules may be integrated in one unit/module. The integrated units/modules described above may be implemented either in hardware or in software functional units/modules.
From the description of the embodiments above, it will be apparent to those skilled in the art that the embodiments described herein may be implemented in hardware, software, firmware, middleware, code, or any suitable combination thereof. For a hardware implementation, the processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the flow of an embodiment may be accomplished by a computer program to instruct the associated hardware.
When implemented, the above-described programs may be stored in or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. The computer readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Claims (8)
1. The intelligent equipment-based comprehensive distribution network production management system is characterized by comprising intelligent equipment, a communication network, a management client and an intelligent management cloud platform;
the intelligent equipment is used for acquiring monitoring data of the power equipment and transmitting the monitoring data to the communication network;
the communication network is used for receiving the monitoring data from the intelligent equipment and transmitting the monitoring data to the intelligent management cloud platform;
the management client is used for acquiring management data of the intelligent equipment and transmitting the management data to the intelligent management cloud platform;
the intelligent management cloud platform is used for processing the monitoring data, monitoring the state of the monitoring power equipment based on the monitoring data and carrying out full life cycle management on the intelligent equipment based on the management data;
the communication network comprises a local communication module and a remote communication module;
the local communication module is used for communicating with the intelligent equipment, receiving the monitoring data sent from the intelligent equipment and analyzing and sending the monitoring data to the remote communication module;
the remote communication module is used for sending the monitoring data to the intelligent management cloud platform;
the local communication module comprises a wireless sensor communication node and a relay base station, wherein the wireless sensor communication node and the relay base station are arranged in a distribution area of the power equipment;
the wireless sensor communication node is used for communicating with the intelligent equipment, receiving the monitoring data sent from the intelligent equipment and transmitting the monitoring data to the relay base station;
the relay base station is used for receiving the monitoring data from the wireless sensor communication node and transmitting the monitoring data to the remote communication module;
the relay base station is also used for carrying out partition processing on the wireless sensor communication nodes and dividing the wireless sensor communication nodes into a plurality of areas:
sending partition notification to all wireless sensor communication nodes;
receiving coordinates returned by the wireless sensor communication node;
dividing a distribution area of the power equipment into a plurality of rectangular areas with the same area, and numbering each rectangular area respectively;
respectively determining rectangular areas to which each wireless sensor communication node belongs according to the coordinates to obtain a partition result;
transmitting the partition result to all wireless sensor communication nodes;
the cluster head node and the member node are generated in the following way:
taking a rectangular area nearest to the relay base station as a first area S to be clustered 1 ；
From the first area S to be clustered 1 Cluster head node cluster 1 ；
The first area S to be clustered of the selected cluster head nodes 1 Deposit selected aggregate wreU；
Acquiring a second area S to be clustered according to a preset selection rule 2 The method comprises the steps of carrying out a first treatment on the surface of the From the second area S to be clustered 2 Cluster head node cluster 2 ；
Acquiring an nth region S to be clustered according to a preset selection rule n The method comprises the steps of carrying out a first treatment on the surface of the From the nth region S to be clustered n Cluster head node cluster n ；
Wherein N is E [1, N ], N represents the total number of rectangular areas,
wherein, the preset selection rules comprise that,
for the nth area S to be clustered n Will S n The distance from the relay base station is denoted as dist (S n )；
If and S n The distance between the relay base station and the existence of the adjacent rectangular area is equal to dist (S n ) The rectangular region P is taken as an n+1th region S to be clustered n+1 ；
If and S n The absence of a distance from the relay base station in the adjacent rectangular area is equal to dist (S n ) Then cluster head will be located away from the rectangular region P of cluster head node n The nearest rectangular region is taken as the (n+1) th region S to be clustered n+1 。
2. The intelligent equipment-based distribution network production integrated management system according to claim 1, wherein the intelligent equipment comprises a partial discharge detection device, an oscillating wave detection device and an infrared detection device.
3. The intelligent equipment-based distribution network production integrated management system of claim 2, wherein the monitoring data comprises discharge pulses, partial discharge signals and infrared images.
4. The intelligent equipment-based distribution network production integrated management system according to claim 3, wherein the partial discharge detection device is used for acquiring a discharge pulse signal of the power equipment, the oscillatory wave detection device is used for acquiring a partial discharge signal of the power equipment, and the infrared detection device is used for acquiring an infrared image of the power equipment.
5. The intelligent equipment-based distribution network production integrated management system of claim 1, wherein the remote communication module comprises a broadband communication network or a wireless cellular communication network.
6. The intelligent equipment-based distribution network production integrated management system according to claim 1, wherein the intelligent management cloud platform comprises a storage module, a monitoring module and an intelligent equipment management module;
the storage module is used for storing the monitoring data transmitted by the communication network;
the monitoring module is used for monitoring the state of the monitoring power equipment based on the monitoring data;
the intelligent equipment management module is used for carrying out full life cycle management on the intelligent equipment based on the management data.
7. The intelligent equipment-based distribution network production integrated management system according to claim 1, wherein the management client comprises a login module, an input module and a communication module;
the login module is used for carrying out login verification on staff using the input module;
the input module is used for inputting management data of the intelligent equipment through staff authenticated by login;
the communication module is used for transmitting the management data to the intelligent management cloud platform.
8. The intelligent equipment-based distribution network production integrated management system of claim 1, wherein the management data includes purchase date, usage record, age, maintenance record, and discard record.
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| CN103107597A (en) * | 2012-12-27 | 2013-05-15 | 上海欧忆智能网络有限公司 | Power distribution net box type transformer environmental parameters on-line monitoring system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US11221249B2 (en) * | 2017-11-16 | 2022-01-11 | James R. Gray, JR. | Environmental sensor platform, system and method |
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| CN103107597A (en) * | 2012-12-27 | 2013-05-15 | 上海欧忆智能网络有限公司 | Power distribution net box type transformer environmental parameters on-line monitoring system |
| CN103199621A (en) * | 2013-03-07 | 2013-07-10 | 安徽省电力公司芜湖供电公司 | On-line monitoring networking of power transformer of intelligent substation |
| CN108801334A (en) * | 2018-04-28 | 2018-11-13 | 国网山东省电力公司淄博供电公司 | A kind of transportable transformer status information comprehensively monitoring diagnostic system |
| CN114553923A (en) * | 2022-02-10 | 2022-05-27 | 宁夏弘兴达果业有限公司 | Apple planting environment monitoring system based on Internet of things |
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