Signal processing equipment and signal processing method based on cloud service

Abstract

The invention discloses a signal processing device and a signal processing method based on cloud service. The signal processing device comprises a cloud server group, and the cloud server group is in communication connection with a plurality of terminal devices so as to receive data access requests of the terminal devices and carry out data processing and replying. The signal processing method comprises the following steps: S1, the signal acquisition module receives a data access request signal of the terminal equipment; s2, amplifying, filtering and de-noising the data access request signal; s3, selecting a cloud service provider, applying for cloud resources and performing configuration; s4, encrypting the preprocessed data, transmitting the encrypted data to a cloud management module, and sending the encrypted data to a cloud storage module for storage; s5, carrying out processing operation on the data; s6, displaying the processed data in the form of charts and images; and S7, carrying out fault and performance monitoring on the whole cloud server so as to realize fault repair and performance optimization operation on the work of the cloud server.

Description

Technical Field

[0001] The present invention relates to the field of data processing, and in particular to a signal processing device and a signal processing method based on cloud services. Background Art

[0002] With the advent of globalization and the era of big data, data resources need to be transmitted, exchanged, shared and processed between different units and individuals. Sharing of data resources can be accomplished in a variety of ways. For example, publishing data resources on the Internet, creating a sharing platform, etc. At present, users can obtain shared data by downloading. A Chinese patent discloses a data processing method and device based on cloud services (authorization announcement number CN110324419B). The patent technology discloses a data processing method and device based on cloud services. In its solution, the terminal device sends the program code for processing data to the cloud server, avoiding users from downloading data, saving the cost of users sharing data, and improving the security of data sharing. However, in this technical solution, users can use the data at will after obtaining it. For the data provider, it also creates the risk of uncontrollable data use and reduces the security of data sharing. It is necessary to improve it. Summary of the invention

[0003] The object of the present invention is to provide a signal processing device and a signal processing method for improving data security in view of the above problems.

[0004] In order to achieve the above object, the technical solution of the present invention is:

[0005] A signal processing device based on cloud service, comprising:

[0006] The cloud server group receives data access requests from terminal devices and processes and responds to data;

[0007] A plurality of terminal devices that are communicatively connected to the cloud server group, wherein the terminal devices make data access requests to the cloud server group, upload data, or receive data processing results from the cloud server group.

[0008] Furthermore, the terminal device is a mobile phone, a tablet or other electronic device with network communication function.

[0009] Furthermore, the communication connection mode is one of optical fiber connection, network base station connection, and wireless network connection.

[0010] Furthermore, the cloud server group includes a signal acquisition module for receiving communication signals of terminal devices, a preprocessing module for performing preliminary processing on received signals, an access configuration module for selecting a cloud service provider and applying for required cloud resources, a transmission encryption module for realizing encrypted transmission, a cloud management module for receiving and managing data after preliminary processing, a data processing module for processing input and output of data received by the cloud management module, and a result display module for displaying the processed data; the signal input end of the signal acquisition module is connected to the terminal device through a network, the signal output end of the signal acquisition module is connected to the signal input end of the preprocessing module, the signal output end of the preprocessing module is connected to the signal input end of the access configuration module, the signal output end of the access configuration module is connected to the signal input end of the transmission encryption module, the signal output end of the transmission encryption module is connected to the signal input end of the cloud management module, the signal output end of the cloud management module is connected to the signal input end of the data processing module, and the signal output end of the data processing module is connected to the signal input end of the result display module.

[0011] Furthermore, the cloud server group also includes a cloud storage module for storing cloud data, and a signal input end of the cloud storage module is connected to a signal output end of the cloud management module and a signal output end of the result display module respectively.

[0012] Furthermore, the cloud server group also includes a storage encryption module for encrypting stored data, a backup recovery module for backing up stored data, and a security access module for securely viewing stored data; the signal ends of the storage encryption module, the backup recovery module, and the security access module are all connected to the signal end of the cloud storage module.

[0013] Furthermore, the cloud server group also includes an output module for replying to a terminal device or performing output downloading, and a format selection module for selecting an output download format; the signal output ends of the result display module and the format selection module are both connected to the signal input end of the output module.

[0014] Furthermore, the cloud server group also includes a beautification adjustment module for adjusting and beautifying the display content in the result display module, and the signal output end of the beautification adjustment module is connected to the signal input end of the result display module.

[0015] Furthermore, the cloud server group also includes a fault monitoring and repair module for monitoring the operating status of each module and performing fault repair, and a monitoring and optimization module for monitoring the operating status of each module and performing operation optimization; the signal output ends of the fault monitoring and repair module and the monitoring and optimization module are both connected to the signal input ends of the signal acquisition module, the preprocessing module, the access configuration module, the transmission encryption module, the cloud management module, the data processing module, and the result display module.

[0016] A signal processing method of a signal processing device based on a cloud service, comprising the following steps:

[0017] S1. The terminal device sends a data access request to the cloud server group through the network, and the signal acquisition module in the cloud server receives the data access request signal of the terminal device;

[0018] S2, the pre-processing module performs amplification, filtering, and denoising operations on the data access request signal;

[0019] S3, the access configuration module selects a cloud service provider, applies for cloud resources and configures them;

[0020] S4, encrypting and transmitting the pre-processed data to the cloud management module through the transmission encryption module, and the cloud management module transmits the data to the cloud storage module for storage, and transmits the data to the data processing module for data processing operations;

[0021] S5, the data processing module processes the data through filtering algorithm and feature extraction algorithm;

[0022] S6. Display the processed data in the form of charts and images through the result display module and store the displayed content in the cloud storage module;

[0023] S7. Perform fault and performance monitoring on the entire cloud server through the fault monitoring and repair module and the monitoring and optimization module to implement fault repair and performance optimization operations on the cloud server.

[0024] Based on the detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings below, those skilled in the art will further understand the above and other purposes, advantages and features of the present invention:

[0025] 1. The signal processing equipment in the present invention forms the basis of efficient, safe and reliable signal processing services. The compatibility and flexible access of multiple terminal devices enable users to select appropriate signal processing equipment for signal processing according to actual needs, which improves the applicability and convenience of signal processing equipment. Preprocessing and standardizing the signal helps to improve the signal quality and processing accuracy. Security and reliability measures such as storage content encryption and secure access can ensure data security and system stability, reduce the risk of data leakage and illegal access, and improve the security of data sharing;

[0026] 2. The present invention ensures the security and integrity of data during transmission by adopting transmission encryption design. The cloud management and backup and recovery function design provides users with convenient data backup, recovery and sharing functions. At the same time, the efficiency and accuracy of signal processing can be significantly improved through data processing, result display and other functional designs, and users can be visualized in the form of charts, images, etc., so that users can analyze and make decisions more intuitively and conveniently. It can realize efficient, safe and reliable signal processing services, thereby meeting the needs of different users and scenario applications, and has great market promotion prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Hereinafter, some specific embodiments of the present invention will be described in detail in an exemplary and non-limiting manner with reference to the accompanying drawings. The same reference numerals in the accompanying drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the accompanying drawings:

[0028] Figure 1 It is a structural schematic diagram of the present invention;

[0029] Figure 2 This is a logical diagram of the cloud server group framework. DETAILED DESCRIPTION

[0030] Refer to the following Figure 1 and 2 To describe an embodiment of the present invention. In the description of this embodiment, it should be understood that the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features, that is, include one or more of the features. In the description of the present invention, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. When a feature "includes or contains" one or some of the features it covers, unless otherwise specifically described, this indicates that other features are not excluded and may further include other features.

[0031] Unless otherwise clearly defined and limited, the terms "set", "install", "connect", "connect", "fix", "couple" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral one; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. A person skilled in the art should be able to understand the specific meanings of the above terms in the present invention according to the specific circumstances.

[0032] In addition, in the description of this embodiment, the first feature being "above" or "below" the second feature may include the first and second features being in direct contact, or may include the first and second features not being in direct contact but being in contact through another feature between them. That is, in the description of this embodiment, the first feature being "above", "above", and "above" the second feature includes the first feature being directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. The first feature being "below", "below", or "below" the second feature may mean that the first feature is directly below or obliquely below the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0033] In the description of the present embodiment, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0034] like Figure 1 , Figure 2 As shown, this embodiment discloses a signal processing device based on cloud service, wherein the signal processing device includes a cloud server group, which is communicatively connected to a plurality of terminal devices to receive data access requests from the terminal devices and perform data processing and reply.

[0035] The terminal device is a mobile phone, tablet or other electronic device with network communication function.

[0036] The communication connection mode is one of optical fiber connection, network base station connection, and wireless network connection.

[0037] The signal processing device supports access from a variety of terminal devices, including mobile phones, computers, tablets, etc. Regardless of whether the device has a network cable port or a WiFi signal module, it can achieve data access connection with the cloud server group. This multi-device compatibility and flexible access method allows users to choose the appropriate device for signal processing according to actual needs and scenarios, improving the applicability and convenience of the device.

[0038] The cloud server group includes a signal acquisition module for receiving communication signals of terminal devices, a preprocessing module for performing preliminary processing on received signals, an access configuration module for selecting a cloud service provider and applying for required cloud resources, a transmission encryption module for realizing encrypted transmission, a cloud management module for receiving and managing data after preliminary processing, a data processing module for processing the input and output of data received by the cloud management module, and a result display module for displaying the processed data; the signal input end of the signal acquisition module is connected to the terminal device through a network, the signal output end of the signal acquisition module is connected to the signal input end of the preprocessing module, the signal output end of the preprocessing module is connected to the signal input end of the access configuration module, the signal output end of the access configuration module is connected to the signal input end of the transmission encryption module, the signal output end of the transmission encryption module is connected to the signal input end of the cloud management module, the signal output end of the cloud management module is connected to the signal input end of the data processing module, and the signal output end of the data processing module is connected to the signal input end of the result display module.

[0039] The cloud server group also includes a cloud storage module for storing cloud data, and a signal input end of the cloud storage module is connected to a signal output end of the cloud management module and a signal output end of the result display module respectively.

[0040] The cloud server group also includes a storage encryption module for encrypting stored data, a backup recovery module for backing up stored data, and a security access module for securely viewing stored data; the signal ends of the storage encryption module, the backup recovery module, and the security access module are all connected to the signal end of the cloud storage module.

[0041] The cloud server group also includes an output module for replying to a terminal device or performing output downloading, and a format selection module for selecting an output download format; the signal output ends of the result display module and the format selection module are both connected to the signal input end of the output module.

[0042] The cloud server group also includes a beautification adjustment module for adjusting and beautifying the display content in the result display module, and the signal output end of the beautification adjustment module is connected to the signal input end of the result display module.

[0043] The cloud server group also includes a fault monitoring and repair module for monitoring the operating status of each module and performing fault repair, and a monitoring and optimization module for monitoring the operating status of each module and performing operation optimization; the signal output ends of the fault monitoring and repair module and the monitoring and optimization module are connected to the signal input ends of the signal acquisition module, the preprocessing module, the access configuration module, the transmission encryption module, the cloud management module, the data processing module, and the result display module.

[0044] Through cloud service-based signal processing equipment, efficient and accurate processing and analysis of signals from different terminal devices can be achieved; whether through optical fiber signal transmission, signal base station transmission or router transmission, the terminal device can establish a connection with the cloud server group and send data access request messages; the data processing module within the cloud server group can further process and analyze these signals, extract useful information, and provide corresponding services to users; this cloud service-based signal processing equipment can meet the data processing needs of different terminal devices, improve the efficiency and accuracy of data processing, and bring users a better user experience.

[0045] The present invention also discloses a signal processing method of a signal processing device based on a cloud service, which is operated by the above-mentioned signal processing device and specifically includes the following steps:

[0046] Step 1: signal acquisition and preprocessing; implemented by signal acquisition module and preprocessing module;

[0047] The cloud server group is connected with sensors and data acquisition cards for signal collection;

[0048] The data acquisition equipment and pre-processing of the collected original signal are amplified, filtered, denoised and other conditioning to improve the signal quality and signal-to-noise ratio;

[0049] The pre-processed and conditioned signals are converted into a standard data format for easy subsequent processing and storage;

[0050] Step 2: Cloud service access and configuration: implemented by the access configuration module;

[0051] Cloud service provider selection: select a cloud service signal transmission platform based on the regional base network specifications to ensure service quality and data security;

[0052] Apply for the required cloud resources on the cloud service provider platform, including computing resources, storage resources, etc., and configure them;

[0053] Connect with cloud services according to the API or SDK provided by cloud service providers to ensure that data can be uploaded to the cloud smoothly;

[0054] Step 3: Signal transmission and encryption; implemented by the transmission encryption module;

[0055] Select the appropriate protocol according to data transmission requirements, such as TCP / IP, UDP, etc. Data encryption:

[0056] In the process of data transmission, efficient transmission protocols and encryption algorithms are used to ensure that data can be quickly and securely transmitted to the cloud. Data encryption can effectively prevent data from being stolen or tampered with during transmission, ensuring the integrity and security of the data. At the same time, the quality of the data transmission process is monitored to ensure data integrity and accuracy;

[0057] Step 4: Cloud storage and management; implemented by cloud management module, cloud storage module, and backup and recovery module;

[0058] The cloud server group provides a variety of storage solutions and management functions. Users can choose the appropriate storage solution according to the amount of data and access requirements, such as distributed storage, object storage, etc.

[0059] Back up data regularly to prevent data loss or damage;

[0060] Develop a data recovery plan to ensure that data can be quickly restored in the event of an accident, reducing the risk of data loss;

[0061] There are three types of data recovery plans:

[0062] The first is scheduled backup. By setting a scheduled task, scheduled backup can automatically back up the data on the cloud server to the specified storage device regularly, which can reduce manual operations and improve the accuracy and timeliness of backup.

[0063] The second is incremental backup, which only backs up newly added or modified data instead of the entire data set, reducing the time and storage space required for backup and improving backup efficiency;

[0064] The third is snapshot backup. Cloud service providers usually use snapshot backup function to back up the data of cloud servers without stopping the server.

[0065] Develop reasonable data management strategies, including data classification, naming conventions, access rights, etc., to ensure that data is stored in the cloud in an orderly and secure manner;

[0066] Step 5: Signal analysis, processing and display; implemented by data processing module, result display module and beautification adjustment module;

[0067] The device supports the implementation of various signal processing algorithms and intelligent analysis functions in the cloud. Users can select appropriate signal processing algorithms, such as filtering algorithms, feature extraction algorithms, etc., according to specific needs, and implement these algorithms in the cloud, which improves the efficiency and accuracy of signal processing. It can use different algorithms to extract key information from the signal, such as frequency, amplitude, phase, etc., according to the characteristics and needs of the signal. These key information will be further used for subsequent data processing and decision-making.

[0068] Visualization of analysis results: Visualization of analysis results in the form of charts, images, etc., so that users can intuitively understand signal characteristics and processing effects. Analysis results are stored in the cloud and sharing functions are provided to facilitate collaboration and communication between users.

[0069] Result display optimization uses beautification processing of processing results, such as adjusting colors, adding labels, etc., to improve display effects;

[0070] Step 6: Processing result output; implemented by output module and format selection module;

[0071] Determine the output format of the processing results according to user needs, such as CSV, Excel, pictures, etc.;

[0072] Output method: Select an appropriate output method, such as downloading the processing results directly to the local computer or obtaining them in real time through the API interface;

[0073] Step 7: Security and reliability assurance; implemented by the security access module, storage encryption module, and fault monitoring and repair module;

[0074] Set up strict access control policies to ensure that only authorized users can access and process data;

[0075] Data encryption storage: Encryption technology is used to store data in the cloud to prevent data leakage and illegal access;

[0076] System fault tolerance and recovery: building a highly fault-tolerant system architecture to ensure that services can still be provided normally when some nodes fail, formulating fault recovery, and responding to emergencies in a timely manner;

[0077] Failure recovery is load balancing. Through load balancing technology, requests are distributed to multiple service instances to avoid single point failures that cause the entire service to be unavailable. Automatic fault detection and switching monitors the operating status of each component in the cloud service. Once a fault is detected, the failover mechanism is automatically triggered to switch traffic to other normally running instances or regions.

[0078] Step 8: Performance optimization and maintenance; implemented by the monitoring optimization module;

[0079] The system processing capacity is improved through load balancing technology. The scalable architecture makes it easy to increase or decrease resources according to demand, automatically and regularly monitor and analyze system performance, and regularly maintain and upgrade the system to ensure stable system operation and adapt to new changes in demand.

[0080] The signal processing device in the present invention forms the basis of efficient, safe and reliable signal processing services. The compatibility and flexible access of multiple terminal devices enable users to select appropriate signal processing devices for signal processing according to actual needs, thereby improving the applicability and convenience of signal processing devices. Preprocessing and standardizing the signals can help improve signal quality and processing accuracy. Security and reliability measures such as storage content encryption and secure access can ensure data security and system stability, reduce the risk of data leakage and illegal access, and improve the security of data sharing.

[0081] The present invention ensures the security and integrity of data during transmission by adopting transmission encryption design, and the cloud management and backup and recovery function design provides users with convenient data backup, recovery and sharing functions; at the same time, the efficiency and accuracy of signal processing can be significantly improved through data processing, result display and other functional designs, and users can be visualized in the form of charts, images, etc., so that users can analyze and make decisions more intuitively and conveniently; the signal processing equipment based on cloud service has the characteristics and advantages of multi-device compatibility, signal preprocessing and standardization, safety and reliability guarantee, etc., and can realize efficient, safe and reliable signal processing services, thereby meeting the needs and scenario applications of different users, and has great market promotion prospects.

[0082] At this point, those skilled in the art should recognize that, although multiple exemplary embodiments of the invention have been shown and described in detail herein, many other variations or modifications that conform to the principles of the invention can still be directly determined or derived based on the content disclosed in the invention without departing from the spirit and scope of the invention. Therefore, the scope of the invention should be understood and recognized as covering all such other variations or modifications.

Claims

1. A signal processing device based on cloud service, characterized in that: include The cloud server group receives data access requests from terminal devices and processes and responds to data; A plurality of terminal devices that are communicatively connected to the cloud server group, wherein the terminal devices make data access requests to the cloud server group, upload data, or receive data processing results from the cloud server group.

2. The cloud service-based signal processing device according to claim 1, characterized in that: The terminal device is a mobile phone, tablet or other electronic device with network communication function.

3. The cloud service-based signal processing device according to claim 2, characterized in that: The communication connection mode is one of optical fiber connection, network base station connection, and wireless network connection.

4. The cloud service-based signal processing device according to claim 3, characterized in that: The cloud server group includes a signal acquisition module for receiving communication signals of terminal devices, a preprocessing module for performing preliminary processing on received signals, an access configuration module for selecting a cloud service provider and applying for required cloud resources, a transmission encryption module for realizing encrypted transmission, a cloud management module for receiving and managing data after preliminary processing, a data processing module for processing the input and output of data received by the cloud management module, and a result display module for displaying the processed data; the signal input end of the signal acquisition module is connected to the terminal device through a network, the signal output end of the signal acquisition module is connected to the signal input end of the preprocessing module, the signal output end of the preprocessing module is connected to the signal input end of the access configuration module, the signal output end of the access configuration module is connected to the signal input end of the transmission encryption module, the signal output end of the transmission encryption module is connected to the signal input end of the cloud management module, the signal output end of the cloud management module is connected to the signal input end of the data processing module, and the signal output end of the data processing module is connected to the signal input end of the result display module.

5. The cloud service-based signal processing device according to claim 4, characterized in that: The cloud server group also includes a cloud storage module for storing cloud data, and a signal input end of the cloud storage module is connected to a signal output end of the cloud management module and a signal output end of the result display module respectively.

6. The cloud service-based signal processing device according to claim 5, characterized in that: The cloud server group also includes a storage encryption module for encrypting stored data, a backup recovery module for backing up stored data, and a security access module for securely viewing stored data; the signal ends of the storage encryption module, the backup recovery module, and the security access module are all connected to the signal end of the cloud storage module.

7. The cloud service-based signal processing device according to claim 6, characterized in that: The cloud server group also includes an output module for replying to a terminal device or performing output downloading, and a format selection module for selecting an output download format; the signal output ends of the result display module and the format selection module are both connected to the signal input end of the output module.

8. The cloud service-based signal processing device according to claim 7, characterized in that: The cloud server group also includes a beautification adjustment module for adjusting and beautifying the display content in the result display module, and the signal output end of the beautification adjustment module is connected to the signal input end of the result display module.

9. The cloud service-based signal processing device according to claim 8, characterized in that: The cloud server group also includes a fault monitoring and repair module for monitoring the operating status of each module and performing fault repair, and a monitoring and optimization module for monitoring the operating status of each module and performing operation optimization; the signal output ends of the fault monitoring and repair module and the monitoring and optimization module are connected to the signal input ends of the signal acquisition module, the preprocessing module, the access configuration module, the transmission encryption module, the cloud management module, the data processing module, and the result display module.

10. A signal processing method of a cloud service-based signal processing device according to claim 9, characterized in that: The following steps are involved: S1. The terminal device sends a data access request to the cloud server group through the network, and the signal acquisition module in the cloud server receives the data access request signal of the terminal device; S2, the pre-processing module performs amplification, filtering, and denoising operations on the data access request signal; S3, the access configuration module selects a cloud service provider, applies for cloud resources and configures them; S4, encrypting and transmitting the pre-processed data to the cloud management module through the transmission encryption module, and the cloud management module transmits the data to the cloud storage module for storage, and transmits the data to the data processing module for data processing operations; S5, the data processing module processes the data through filtering algorithm and feature extraction algorithm; S6. Display the processed data in the form of charts and images through the result display module and store the displayed content in the cloud storage module; S7. Perform fault and performance monitoring on the entire cloud server through the fault monitoring and repair module and the monitoring and optimization module to implement fault repair and performance optimization operations on the cloud server.

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