CN114726069A - Edge computing node based on self-energy supply - Google Patents
Edge computing node based on self-energy supply Download PDFInfo
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- CN114726069A CN114726069A CN202210361710.1A CN202210361710A CN114726069A CN 114726069 A CN114726069 A CN 114726069A CN 202210361710 A CN202210361710 A CN 202210361710A CN 114726069 A CN114726069 A CN 114726069A
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- 238000006243 chemical reaction Methods 0.000 claims abstract description 29
- 230000007613 environmental effect Effects 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 claims description 34
- 238000004146 energy storage Methods 0.000 claims description 33
- 238000000034 method Methods 0.000 claims description 18
- 230000004044 response Effects 0.000 claims description 16
- 230000008569 process Effects 0.000 claims description 14
- 238000007781 pre-processing Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 7
- 239000000796 flavoring agent Substances 0.000 claims description 3
- 235000019634 flavors Nutrition 0.000 claims description 3
- 230000005855 radiation Effects 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 4
- 238000007726 management method Methods 0.000 description 12
- 238000013461 design Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000005265 energy consumption Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/14—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries for charging batteries from dynamo-electric generators driven at varying speed, e.g. on vehicle
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/32—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries for charging batteries from a charging set comprising a non-electric prime mover rotating at constant speed
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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
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
- H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
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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
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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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
Abstract
The invention provides an edge computing node based on self-powered energy, which is characterized by comprising an energy supply system and an edge computing node; the energy supply system collects environmental energy to supply power to the edge computing node; the energy supply system comprises an energy conversion module and an energy management and storage module; the energy conversion module collects environmental energy, converts the environmental energy into electric energy and transmits the electric energy to the energy management and storage module; and the energy management and storage module is used for storing and managing the energy generated by the energy conversion module and then supplying power to the edge computing node. Energy in the environment is collected to supply energy to the edge computing node, one-time deployment permanent use is achieved, and batteries do not need to be replaced or a national power grid is used for supplying power. The solar energy, the wind energy, the kinetic energy and the like can be converted into electric energy to supply power to the edge computing node, so that the edge computing node can work normally in various extreme environments, and a large amount of financial and manpower for maintenance is avoided.
Description
Technical Field
The invention relates to edge computing, in particular to an edge computing node based on self-powered energy.
Background
The rapid development of the internet of things enables people to enter the aftercloud era, and a large amount of data can be generated in daily life of people. Edge computing becomes a key ring of the internet of things technology. Edge computing has a wide geographical distribution that relies on devices at the edge of the network. The devices at the edge of the network have a wide geographical distribution, and the edge computing nodes also cover a wide range and are numerous. At present, many problems in the edge computing technology are not solved, and the power supply of the edge computing node is one of the problems. At present, the edge computing nodes are almost powered by batteries or national power grids, which brings huge energy consumption. And for widely distributed edge computing nodes, the edge computing nodes are not easy to deploy and regularly maintain when the battery is powered, and a large amount of financial resources and manpower can be consumed, especially for edge computing nodes deployed in remote areas.
Disclosure of Invention
The invention aims to: aiming at the problems, the invention provides an edge computing node based on self-energy supply, which is used for realizing one-time deployment and permanent use by collecting energy in the environment to supply energy to the edge computing node, and does not need to replace a battery or adopt a national power grid for power supply.
The invention is realized by the following technical scheme: the edge computing node based on self-powered energy supply comprises an energy supply system and an edge computing node; the energy supply system collects environmental energy to supply power to the edge computing node; the energy supply system comprises an energy conversion module and an energy management and storage module; the energy conversion module collects environmental energy, converts the environmental energy into electric energy and transmits the electric energy to the energy management storage module; and the energy management and storage module is used for storing and managing the energy generated by the energy conversion module and then supplying power to the edge computing node.
Further, the energy conversion module is a wind energy conversion module, a solar energy conversion module, an electromagnetic energy conversion module, a mechanical energy conversion module or any combination of the above four energy conversion modules.
Further, the energy management storage module comprises an energy storage device; the edge computing node acquires the electric quantity of the energy storage device, stores the electric quantity value of the energy storage device and sends the electric quantity value to the cloud end periodically.
Further, the edge computing node comprises a perception terminal module, a computing processing module and a response module. The sensing terminal module comprises a sensor group, and the sensor group is used for sensing the environment to obtain corresponding sensor data; and the computing processing module processes the sensor data at the edge.
Further, the processing of the sensor data at the edge by the computing processing module specifically includes: the calculation processing module processes the sensor data, sends an instruction to the response module and feeds information back to the cloud.
Further, the processing of the sensor data at the edge by the computing processing module specifically includes: the computing processing module is used for preprocessing the sensor data, sending a preprocessing result to the cloud end, and sending an instruction to the response module of the corresponding edge computing node after the cloud end carries out further processing.
Further, when the energy storage device electric quantity value of the edge computing node is smaller than V1, the computing processing module preprocesses the sensor data, sends a preprocessing result to the cloud, and sends an instruction to the response module of the corresponding edge computing node after the cloud further processes the preprocessing result; when the electric quantity value of the energy storage device of the edge computing node is greater than or equal to V1, the computing processing module processes the sensor data, sends an instruction to the response module and feeds back information to the cloud.
Further, the sensor group comprises a thermosensitive element, a photosensitive element, a gas-sensitive element, a force-sensitive element, a magnetic-sensitive element, a humidity-sensitive element, a sound-sensitive element, a radiation-sensitive element, a color-sensitive element, a flavor-sensitive element or any combination thereof.
The invention has the beneficial effects that:
1. according to the self-powered edge computing node, energy in the environment is converted into electric energy by using a self-powered technology, so that the self-powered edge computing node is realized, the energy consumption of the edge computing node is saved, and the recycling of the environment energy is realized.
2. According to the edge computing node based on self-energy supply, the solar energy, the wind energy, the kinetic energy and the like can be converted into electric energy to supply power to the edge computing node, so that the edge computing node can be ensured to normally work in various extreme environments, and the follow-up cost of a large amount of financial resources and manpower for maintenance is avoided.
3. According to the invention, the edge computing node based on self-powered energy judges the follow-up work according to the electric quantity value of the energy storage device. The energy storage device realizes low power consumption work when the electric quantity value of the energy storage device is low; when the electric quantity value of the energy storage device is high, high-power-consumption work is carried out so as to ensure high-stability work of the self-powered edge computing node and realize the self-powered edge computing node with small network delay and high real-time performance.
4. According to the edge computing node based on self-powered energy, the electric quantity value of the energy storage device is stored and sent back to the cloud periodically, and the edge computing node position and the specific work deployment of the edge computing node position are facilitated in the subsequent work according to the electric quantity value of the energy storage device of the edge computing node.
Drawings
Fig. 1 is a design configuration diagram of an energy supply system.
FIG. 2 is a design structure diagram of an edge compute node.
Fig. 3 is a design structure diagram of a self-powered unlocking module and a data receiving and control end.
Detailed description of the preferred embodiments
In order to make the technical solutions of the present invention better understood, the following description of the technical solutions of the present invention with reference to the accompanying drawings of the present invention is made clearly and completely, and other similar embodiments obtained by a person of ordinary skill in the art without any creative effort based on the embodiments in the present application shall fall within the protection scope of the present application.
The increasing speed of networked devices has far exceeded the increasing speed of network bandwidth, so that if all devices send data to the cloud for calculation, network congestion is inevitably caused, and the network delay is intolerable, especially for some applications with high real-time requirements, such as: intelligent traffic lights, AR, etc. Uploading all data to cloud computing is unrealistic, and edge computing provides a new solution for the cloud computing by utilizing the characteristic that the edge computing supports geographical distribution. And the combination of self-energy supply and edge calculation can ensure that the edge calculation node can normally work in various extreme environments, thereby avoiding the subsequent cost of a large amount of financial resources and manpower for maintenance and simultaneously reducing the energy consumption.
Example 1
Embodiment 1 is an edge computing node based on self-powered, comprising an energy supply system, an edge computing node; the energy supply system collects environmental energy to supply power to the edge computing node; as shown in fig. 1, the energy supply system includes an energy conversion module, an energy management storage module; the energy conversion module collects environmental energy, converts the environmental energy into electric energy and transmits the electric energy to the energy management storage module; and after the energy management and storage module generates energy and performs storage management, the energy management and storage module supplies power to the edge computing node.
The energy in the environment is converted into the electric energy by using the self-energy supply technology, so that the self-energy-supply edge computing node is realized, the energy consumption of the edge computing node is saved, and the reutilization of the environment energy is realized.
Further, the energy conversion module is a wind energy conversion module, a solar energy conversion module, an electromagnetic energy conversion module, a mechanical energy conversion module or any combination of the above four energy conversion modules. And deploying the actual energy conversion module according to the actual geographic position, the working content and other conditions of the edge node. The solar energy, the wind energy, the kinetic energy and the like are converted into electric energy to supply power to the edge computing nodes, so that the normal work of the edge computing nodes in various extreme environments can be ensured, and the subsequent cost of a large amount of financial resources and manpower for maintenance is avoided.
Further, the energy management storage module comprises an energy storage device; the edge computing node acquires the electric quantity of the energy storage device, stores the electric quantity value of the energy storage device and sends the electric quantity value to the cloud end periodically.
The electric quantity value of the energy storage device is stored and sent to the cloud periodically, so that the deployment of the edge computing node position and the specific work of the edge computing node position can be performed according to the electric quantity value of the energy storage device of the edge computing node in the subsequent work.
Further, as shown in fig. 2, the edge computing node includes a sensing terminal module, a computing processing module, and a response module. The sensing terminal module comprises a sensor group, and the sensor group is used for sensing the environment to obtain corresponding sensor data; and the computing processing module processes the sensor data at the edge.
Further, the processing of the sensor data at the edge by the computing processing module specifically includes: the calculation processing module processes the sensor data, sends an instruction to the response module and feeds information back to the cloud.
Further, the processing of the sensor data at the edge by the computing processing module specifically includes: the computing processing module is used for preprocessing the sensor data, sending a preprocessing result to the cloud end, and sending an instruction to the response module of the corresponding edge computing node after the cloud end carries out further processing.
Further, when the energy storage device electric quantity value of the edge computing node is smaller than V1, the computing processing module preprocesses the sensor data, sends a preprocessing result to the cloud, and sends an instruction to the response module of the corresponding edge computing node after the cloud further processes the preprocessing result; when the electric quantity value of the energy storage device of the edge computing node is greater than or equal to V1, the computing processing module processes the sensor data, sends an instruction to the response module and feeds back information to the cloud. And judging subsequent work according to the electric quantity value of the energy storage device. The energy storage device realizes low power consumption work when the electric quantity value of the energy storage device is low; when the electric quantity value of the energy storage device is high, high-power-consumption work is carried out so as to ensure high-stability work of the self-powered edge computing node and realize the self-powered edge computing node with small network delay and high real-time performance. The method and the device avoid the problem that the normal operation of the whole system is influenced by unstable work or errors in work of edge computing nodes with low electric quantity values of the energy storage device.
Further, the sensor group comprises a thermosensitive element, a photosensitive element, a gas-sensitive element, a force-sensitive element, a magnetic-sensitive element, a humidity-sensitive element, a sound-sensitive element, a radiation-sensitive element, a color-sensitive element, a flavor-sensitive element or any combination thereof. Under different application scenes, different sensors are used for sensing the environment. Accordingly, the response module is also configured according to the operation that is actually performed in detail.
Further, the energy management storage module detects the energy storage device, and when the electric quantity of the energy storage device exceeds a threshold value V2, the energy management storage module closes the charging of the energy storage device; otherwise, starting charging the energy storage device; the energy storage device is a storage battery;
example 2
The present embodiment is an implementation manner of the present invention, and the present invention is described with reference to the accompanying drawings, and fig. 3 is a structural design diagram of a self-powered unlocking module and a data receiving and controlling end of a self-powered server chassis security system:
the system is deployed on a conveying belt for express transportation, the system works by collecting energy generated by express passing through a pressure sensor on the conveying belt, after identifying logistics codes, the system wirelessly sends the codes to a data receiving and controlling end, and the data receiving and controlling end performs simple processing after receiving the codes to decide which sub-conveying belt to sort to. Compared with the traditional system, the novel system is simpler to deploy, has low requirements on the calculation force of a data receiving and controlling end, and can save a large amount of energy.
To realize the functions, the system of the invention is divided into two large parts, and each large part is also composed of smaller parts; s1: the energy acquisition module of the logistics code identification end is configured on the conveyor belt, relative motion between express delivery and the conveyor belt and friction generated when the conveyor belt is conveyed can be achieved by the energy acquisition device, electric energy is generated, then the electric energy is converted into stable energy through voltage transformation and rectification, one part of the energy is activated by the system to be identified, the other part of the energy is stored in the battery to supply the gray level picture shooting module and the identification module to work, the high-speed FPGA is adopted to receive pictures returned by the gray level camera and identify the pictures, and finally a string of codes obtained by identification are sent to the data receiving and control end; s2: and the data receiving and controlling end receives the codes returned after the FPGA identifies, performs simple decoding to obtain logistics coding information, stores the information into a local database, and starts a sorting and barrier gate switch.
All of the features disclosed in this specification, or all of the steps in any method or process so disclosed, may be combined in any combination, except combinations of features and/or steps that are mutually exclusive. Any feature disclosed in this specification (including any accompanying claims, abstract) may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.
The invention is not limited to the foregoing embodiments. The invention extends to any novel feature or any novel combination of features disclosed in this specification and any novel method or process steps or any novel combination of features disclosed.
Claims (9)
1. An edge computing node based on self-powered energy is characterized by comprising an energy supply system and an edge computing node;
the energy supply system collects environmental energy to supply power to the edge computing node;
the energy supply system comprises an energy conversion module and an energy management and storage module; the energy conversion module collects environmental energy, converts the environmental energy into electric energy and transmits the electric energy to the energy management storage module; and the energy management and storage module is used for storing and managing the energy generated by the energy conversion module and then supplying power to the edge computing node.
2. The self-powered edge computing node of claim 1, wherein the energy conversion module is a wind energy conversion module, a solar energy conversion module, an electromagnetic energy conversion module, a mechanical energy conversion module, or any combination thereof.
3. The self-powered based edge computing node of claim 2 wherein the energy management storage module comprises an energy storage device; the edge computing node acquires the electric quantity of the energy storage device, stores the electric quantity value of the energy storage device and sends the electric quantity value to the cloud end periodically.
4. The self-power based edge computing node of claim 3, wherein the edge computing node comprises a aware terminal module, a compute processing module, and a response module.
5. The self-powered edge computing node as claimed in claim 4, wherein the sensing terminal module comprises a sensor group, and the sensor group is used for sensing an environment to obtain corresponding sensor data; and the computing processing module processes the sensor data at the edge.
6. The self-powered edge computing node as claimed in claim 5, wherein the processing of the sensor data at the edge by the computing processing module is specifically: the calculation processing module processes the sensor data, sends an instruction to the response module and feeds information back to the cloud.
7. The self-powered edge computing node as claimed in claim 5, wherein the processing module for processing the sensor data at the edge end specifically comprises: the computing processing module is used for preprocessing the sensor data, sending a preprocessing result to the cloud end, and sending an instruction to the response module of the corresponding edge computing node after the cloud end carries out further processing.
8. The self-powered edge computing node of claim 5, wherein when the energy storage device capacity value of the edge computing node is less than V1, the computing processing module pre-processes the sensor data, sends the pre-processed result to the cloud, and the cloud further processes the sensor data and sends an instruction to the response module of the corresponding edge computing node; when the electric quantity value of the energy storage device of the edge computing node is greater than or equal to V1, the computing processing module processes the sensor data, sends an instruction to the response module and feeds back information to the cloud.
9. The self-powered edge computing node of any of claims 5 to 8, wherein the set of sensors comprises thermal sensors, light sensors, gas sensors, force sensors, magnetic sensors, moisture sensors, acoustic sensors, radiation sensors, color sensors, flavor sensors, or any combination thereof.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115955378A (en) * | 2023-03-15 | 2023-04-11 | 南京熊猫电子股份有限公司 | Adaptive energy conversion edge calculation method, device and system |
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Application publication date: 20220708 |