Edge data classified storage system

Abstract

The invention discloses an edge data classified storage system which is characterized by comprising a main control module, a data generation module, a data acquisition module, a data classification module, a data storage module, a communication module and an edge device module. By adding the data generation module, the data acquisition module, the data classification module, the data storage module, the communication module and the edge device module into the main control module, processing of original edge data is realized, the size of a data packet transmitted to a cloud server is reduced, the network pressure is relieved, and the data transmission efficiency is improved. And meanwhile, the state information of the edge devices with the complex incidence relation is specially analyzed and processed, so that the data processing burden of the edge intelligent controller and the network is reduced.

Description

Technical Field

[0001] The present invention relates to the field of Internet of Things manufacturing, and in particular to an edge data classification storage system. Background Art

[0002] The current application of IoT search has received more and more attention. IoT search can reduce the size and scope of collected data, and users can also obtain smart entity information in the physical world through search engines. There is a demand for intelligent search in typical IoT applications such as smart cities.

[0003] Edge computing is a distributed computing model. This technology transfers the core capabilities of data computing, storage, and application from cloud servers to the edge device layer, so that data processing and analysis can be performed faster, which plays a huge role in alleviating the pressure of cloud computing models on cloud servers.

[0004] With the development of current communication technology, edge devices are becoming more and more numerous and complex, so it is more urgent to carry out intelligent operation and maintenance of edge devices. It is imperative to establish an edge data management system to meet the data monitoring of ordinary IoT terminals, as well as security detection, energy-saving management, data monitoring and data analysis within base stations. Summary of the invention

[0005] A brief summary of one or more aspects is given below to provide a basic understanding of these aspects. This summary is not an exhaustive overview of all conceived aspects, and is neither intended to identify the key or critical elements of all aspects nor to define the scope of any or all aspects. Its only purpose is to give some concepts of one or more aspects in a simplified form as a prelude to a more detailed description that will be given later.

[0006] The purpose of the present invention is to solve the above-mentioned problems and provide an edge data classification and storage system. By adding a data generation module, a data acquisition module and a data classification module to the main control module, the processing of the original edge data is realized, the size of the data packet transmitted to the cloud server is reduced, and the network pressure is alleviated. At the same time, by performing special analysis and processing on the status information of edge devices with complex correlations, the data processing burden of the edge intelligent controller and the network is reduced.

[0007] The technical solution of the present invention is:

[0008] The present invention provides an edge data classification storage system, comprising

[0009] According to an embodiment of the edge data classification storage system of the present invention, in order to make the edge data more diverse, the data generation module is also coupled to a position sensor unit and a pressure sensor unit, and the pressure sensor unit is also coupled to a weight change data unit. The position sensor unit captures edge data at different positions by using various position sensors in the edge device. The pressure sensor module can also collect the corresponding edge data when the pressure sensor unit is subjected to gravity changes through the weight change data unit according to the reaction of the edge device when it is subjected to different pressure changes, and collect the corresponding edge data;

[0010] According to an embodiment of the edge data classification storage system of the present invention, the edge data classification storage system can be provided with a position sensor unit and a pressure sensor unit, and can accurately sense data in various situations in the edge device, thereby completing data generation and capturing corresponding edge data, making the generation of edge data more efficient and convenient;

[0011] According to an embodiment of the edge data classification storage system of the present invention, a preprocessing module is also coupled to the data acquisition module, and the collected edge data is preprocessed by the preprocessing unit, so as to obtain edge data that meets the requirements. The preprocessing unit also includes a feature extraction unit, a classification processing unit and a data calculation unit. After the data acquisition module collects the edge data, the feature extraction unit first extracts features from the collected edge data to obtain different features of the edge data, and then the classification processing unit classifies the edge data with different features, and finally the data calculation unit calculates the classified edge data to obtain edge data that meets the requirements;

[0012] According to an embodiment of the edge data classification storage system of the present invention, the classification processing unit further performs separate classification processing on the edge data that meets the requirements and the edge data that does not meet the requirements calculated by the data calculation unit, so as to perform subsequent traceability query;

[0013] According to an embodiment of the edge data classification storage system of the present invention, the feature extraction unit is also coupled to an automatic encoding unit for setting an automatic encoding program for vital sign extraction. The edge data classification storage system extracts edge data features according to the automatic encoding program set by the automatic encoding unit, making edge data feature extraction more convenient and efficient;

[0014] According to an embodiment of the edge data classification storage system of the present invention, a category aggregation unit and a sorting unit are further coupled to the data classification module. The edge data classification storage system aggregates edge data of different categories through the category aggregation unit, and then sorts edge data belonging to the same category through the sorting unit, thereby sorting the collected edge data;

[0015] According to an embodiment of the edge data classification storage system of the present invention, a signal receiving unit, a signal matching unit, a signal confirmation unit and a signal return unit are also coupled to the communication module. When a user needs to query the edge data stored in the data storage module, the data information sent by the user is first received through the signal receiving unit, and then the data information sent by the user is matched with the data information stored in the data storage module using the signal matching unit. If a match is found, the signal confirmation unit is used to confirm whether the data information after the match is completed exists, and finally the confirmed data information is fed back to the user for viewing through the signal return unit. As a result, the edge data classification storage system provides an edge data viewing port to the outside through the communication module, which is convenient for users to view edge data;

[0016] According to an embodiment of the edge data classification storage system of the present invention, the edge device module is also coupled to a state information unit, a type information unit, a data information unit, a comparison information unit, and a decision information unit. Among them, the state information unit is used to confirm the state of the edge device, the type information unit is used to confirm the signal type of the edge device, the data information unit is used to confirm whether the edge data in the edge device is generated, the comparison information unit is used to compare the data information of the edge device with the data information type, and the decision information unit is used to make a feasibility decision based on the edge device information;

[0017] According to an embodiment of the edge data classification storage system of the present invention, by setting an edge device module, it is possible to confirm the specific feature information of the edge device, and further determine the status information of the edge device vendor, the model type of the edge device, whether the edge data is generated, compare the data information of the edge device according to the type, and make a feasibility decision on the information on the edge device, etc.;

[0018] Compared with the prior art, the present invention has the following beneficial effects: the present invention provides an edge data classification storage system for edge data management, which couples the data generation module, data acquisition module, data classification module, data storage module, communication module and edge device module on the main control module, and can process the original edge data without transmitting the edge data packet to the cloud server, thereby greatly alleviating the network pressure of distributed computing. In addition, the present invention classifies and stores data such as the status information of edge devices with complex associations for special analysis, which reduces the data processing burden of the distributed network and is conducive to the intelligent operation and management of edge devices. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above features and advantages of the present invention can be better understood after reading the detailed description of the embodiments of the present disclosure in conjunction with the following drawings. In the drawings, the components are not necessarily drawn to scale, and components with similar related properties or features may have the same or similar reference numerals.

[0020] Figure 1 1 is an architecture diagram showing an embodiment of an edge data classification storage system of the present invention. DETAILED DESCRIPTION

[0021] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. Note that the aspects described below in conjunction with the accompanying drawings and specific embodiments are only exemplary and should not be construed as limiting the scope of protection of the present invention in any way.

[0022] An embodiment of an edge data classification storage system is disclosed herein. Figure 1 FIG. 1 is an architecture diagram showing an embodiment of an edge data classification storage system of the present invention. Figure 1As shown, in this embodiment, the edge data classification storage system includes a main control module, a data generation module, a data acquisition module, a data classification module, a data storage module, an edge device module and a communication module. Among them, the main control module is coupled and connected with the data generation module, the data acquisition module, the data classification module, the data storage module, the edge device module and the communication module respectively, and is used to control the execution of other modules. The data generation module is used to generate corresponding edge data according to the edge device to be connected, and transmit the generated edge data to the data acquisition module. The data acquisition module is used to collect the edge data generated by the data generation module, and transmit the collected edge data to the data classification module. The data classification module is used to classify the received edge data and transmit the classified edge data to the data storage module. The data storage module is used to store the classified edge data for subsequent user inquiries. The edge device module is used to confirm the specific feature information of the edge device. The communication module is used to provide an edge data query port to the outside so that users can query the edge data stored in the data storage module.

[0023] Specifically, in this embodiment, in order to obtain richer edge data, a position sensor unit and a pressure sensor unit are also coupled to the data generation module. Among them, the position sensor unit obtains edge data at different positions based on position sensors installed at different positions in the edge device. The pressure sensor module is used to obtain different edge data under different pressure changes in the edge device. Therefore, in this embodiment, the edge data classification storage system can accurately sense the data under different conditions in the edge device by setting the position sensor unit and the pressure sensor unit, thereby generating data and obtaining the corresponding edge data, making the generation of edge data more efficient and convenient.

[0024] In addition, in this embodiment, the pressure sensor unit is also coupled to a weight change data unit, and the weight change data unit is used to collect edge data corresponding to the gravity change in the pressure sensor unit.

[0025] In this embodiment, the data acquisition module is also coupled to a preprocessing module, and the collected edge data is preprocessed by the preprocessing unit to obtain edge data that meets the requirements. Among them, the preprocessing unit also includes a feature extraction unit, a classification processing unit and a data calculation unit. After the data acquisition module collects the edge data, it is first necessary to extract features from the collected edge data through the feature extraction unit to obtain different features of the edge data, and then classify the edge data with different features through the classification processing unit, and finally use the data calculation unit to calculate the classified edge data to obtain edge data that meets the requirements. In addition, in this embodiment, the classification processing unit also performs separate classification processing on the edge data that meets the requirements and the edge data that does not meet the requirements calculated by the data calculation unit, so as to facilitate subsequent traceability queries.

[0026] Furthermore, in this embodiment, the feature extraction unit is also coupled to an automatic encoding unit for setting an automatic encoding program for vital sign extraction. The edge data classification storage system extracts edge data features according to the automatic encoding program set by the automatic encoding unit, making edge data feature extraction more convenient and efficient.

[0027] In this embodiment, the data classification module is also coupled to a category aggregation unit and a sorting unit. The edge data classification storage system aggregates edge data of different categories through the category aggregation unit, and then sorts edge data belonging to the same category through the sorting unit, thereby sorting the collected edge data.

[0028] In this embodiment, the communication module is also coupled to a signal receiving unit, a signal matching unit, a signal confirmation unit, and a signal return unit. When a user needs to query edge data stored in the data storage module, the signal receiving unit is used to first receive the data information sent by the user, and then the signal matching unit is used to match the data information sent by the user with the data information stored in the data storage module. If a match is made, the signal confirmation unit is used to confirm whether the data information after the match is completed exists, and finally the confirmed data information is fed back to the user for viewing through the signal return unit. As a result, the edge data classification storage system provides an edge data viewing port to the outside through the communication module, which is convenient for users to view edge data.

[0029] Furthermore, in this embodiment, the signal return unit is also coupled to a data information unit, a re-input unit, and a termination operation unit. When the user inputs data information for the first time, the data information unit is first used to confirm whether the data information input by the user for the first time matches the data stored in the data storage module. If there is a mismatch, the re-input unit provides the user with a port for re-input. In addition, in this embodiment, when the user finishes viewing the data information, the termination operation unit provides the user with a port for terminating the data information query, and the user exits the data information query operation.

[0030] In this embodiment, the edge device module is also coupled to a status information unit, a type information unit, a data information unit, a comparison information unit, and a decision information unit. Among them, the status information unit is used to confirm the status of the edge device, the type information unit is used to confirm the signal type of the edge device, the data information unit is used to confirm whether the edge data in the edge device is generated, the comparison information unit is used to compare the data information of the edge device with the type of data information, and the decision information unit is used to make a feasibility decision based on the edge device information. Therefore, in this embodiment, by setting the edge device module, the specific feature information of the edge device can be confirmed, and the status information of the edge device vendor, the model type of the edge device, whether the edge data is generated, the data information of the edge device is compared according to the type, and the feasibility decision is made on the information on the edge device, etc.

[0031] This specification also discloses an edge data controller based on edge data classification storage, which has a built-in edge data classification storage system as described above, so that the edge data controller has the function of processing original edge data, reducing the data packets for transmitting edge data to cloud servers and alleviating network pressure. By performing special analysis and processing on the status information of edge devices with complex associations, the data processing burden of the edge data controller and the network is reduced.

[0032] The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be apparent to those skilled in the art, and the general principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein, but should be granted the widest scope consistent with the principles and novel features disclosed herein.

[0033] Those skilled in the art will further appreciate that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or a combination of the two. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps are generally described above in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. The technician may implement the described functionality in different ways for each specific application, but such implementation decisions should not be interpreted as resulting in a departure from the scope of the present invention.

[0034] The various illustrative logic blocks, modules, and circuits described in conjunction with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. The processor may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in cooperation with a DSP core, or any other such configuration.

[0035] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software module may reside in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to a processor so that the processor can read and write information from / to the storage medium. In an alternative, a storage medium may be integrated into a processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In an alternative, the processor and the storage medium may reside in a user terminal as discrete components.

[0036] In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented as a computer program product in software, each function may be stored on or transmitted by a computer-readable medium as one or more instructions or codes. Computer-readable media include both computer storage media and communication media, including any medium that facilitates the transfer of a computer program from one place to another. Storage media may be any available medium that can be accessed by a computer. As an example and not limitation, such a computer-readable medium may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of an instruction or data structure and can be accessed by a computer. Any connection is also properly referred to as a computer-readable medium. For example, if the software is transmitted from a website, a server, or other remote source using a coaxial cable, a fiber optic cable, a twisted pair, a digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwaves, the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwaves are included in the definition of the medium. Disk and disc as used herein include compact disc (CD), laser disc, optical disc, digital versatile disc (DVD), floppy disk and Blu-ray disc, wherein disk often reproduces data magnetically, while disc reproduces data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

Claims

1. An edge data classification storage system, characterized in that: It includes a main control module, a data generation module, a data acquisition module, a data classification module, a data storage module, a communication module and an edge device module; wherein, The main control module is coupled with the data generation module, the data acquisition module, the data classification module, the data storage module, the edge device module and the communication module respectively to control the execution of other modules; The data generation module is used to generate corresponding edge data according to the edge device to be connected, and transmit the generated edge data to the data acquisition module; The data acquisition module is used to collect the edge data generated by the data generation module and transmit the collected edge data to the data classification module; The data classification module is used to classify the received edge data and transmit the classified edge data to the data storage module; The data storage module is used to store the classified edge data; The communication module is used to provide an edge data query port to the outside world; The edge device module is used to confirm the specific characteristic information of the edge device.

2. The edge data classification storage system according to claim 1, characterized in that: The data generation module is also coupled to a position sensor unit and a pressure sensor unit; wherein, The position sensor unit obtains edge data at different locations based on position sensors placed at different locations within the edge device; The pressure sensor unit is used to obtain edge data under different pressure changes.

3. The edge data classification storage system according to claim 2, characterized in that: The pressure sensor unit is also coupled to a weight change data unit; wherein the pressure sensor unit is used to obtain edge data corresponding to the gravity change of the pressure sensor.

4. The edge data classification storage system according to claim 1, characterized in that: The data acquisition module is also coupled to a preprocessing unit, and the preprocessing unit preprocesses the collected edge data to obtain edge data that meets the requirements.

5. The edge data classification storage system according to claim 2, characterized in that: The preprocessing module includes a feature extraction unit, a classification processing unit and a data calculation unit; wherein, The feature extraction unit is used to extract features from the collected edge data; The classification processing unit is used to classify edge data with different characteristics; The data calculation unit is used to calculate the classified edge data, so as to obtain edge data that meets the requirements.

6. The edge data classification storage system according to claim 3, characterized in that: The feature extraction unit is also coupled to an automatic encoding unit; wherein the feature extraction unit automatically extracts edge data features through an automatic encoding program set by the automatic encoding unit.

7. The edge data classification storage system according to claim 1, characterized in that: The data classification module is also coupled to a category aggregation unit and a sorting unit; wherein, The category aggregation unit is used to aggregate edge data of different categories, so as to classify the collected edge data; The sorting unit is used to sort the edge data belonging to the same category.

8. The edge data classification storage system according to claim 1, characterized in that: The communication module is also coupled to a signal receiving unit, a signal matching unit, a signal confirmation unit and a signal returning unit; wherein, The signal receiving unit is used to receive data information sent by the user; The signal matching unit is used to match the data information sent by the user with the data information stored in the data storage module; The signal confirmation unit is used to confirm whether the data information after matching is completed exists; The signal return unit is used to feed back the confirmed data information to the user for review.

9. The edge data classification storage system according to claim 8, characterized in that: The signal return unit is also coupled to a data information unit, a re-input unit and a termination operation unit; The data information unit is used to confirm whether the data information input by the user for the first time matches the data information in the data storage module; The re-input unit is used to provide a port for the user to re-input when the data does not match; The termination operation unit is used to provide the user with a port for terminating data information query.

10. The edge data classification storage system according to claim 1, characterized in that: The edge device module is also coupled to a state information unit, a class information unit, a data information unit, a comparison information unit and a decision information unit; wherein, The status information unit is used to confirm the status of the edge device; The type information unit is used to confirm the signal type of the edge device; The data information unit is used to confirm whether the edge data in the edge device is generated; The comparison information unit is used to compare the data information of the edge device with the data information type. The decision information unit is used to make feasibility decisions based on edge device information.

11. An edge data controller based on edge data classification storage, characterized in that: The edge data controller has a built-in edge data classification storage system as described in any one of claims 1-11.

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