Energy storage cell data low-cost high-efficiency cloud method and system based on video coding technology, and computer readable medium

Abstract

The invention provides a video coding technology-based energy storage cell data low-cost high-efficiency cloud uploading method, and also provides a cloud uploading system and a computer readable medium, so that the technical problem that cloud uploading cannot be realized at all due to too large data in the existing power system, especially in the field of processing huge energy storage cells, can be solved, and the energy storage cell data cloud uploading efficiency can be improved. Specifically, a video coding technology is innovatively applied to the field of energy storage cell data cloud loading, and a new data transmission and processing mode is developed.

Description

Technical Field

[0001] The present invention belongs to the field of energy storage technology, and in particular, relates to a method for uploading energy storage cell data to the cloud using video coding technology, and further relates to a method, system and computer-readable medium for uploading energy storage cell data to the cloud at a low cost and high efficiency based on video coding technology. Background Art

[0002] At present, in the field of energy storage, the state of battery cells is mainly determined by detecting voltage and temperature, and a localized battery management system (BMS) is usually used for data analysis. As a system for monitoring and protecting battery packs, the BMS system can monitor and diagnose the voltage, temperature, current, state of charge (SOC) and state of health (SOH) of the battery in real time to ensure that the battery operates within a safe range, extend battery life, and improve system performance. However, the BMS system has the following problems: (1) high system complexity and high cost; (2) limited accuracy in estimating battery status; (3) slow response to abnormal battery conditions; (4) inconsistent communication protocols and interfaces, poor compatibility; (5) the system is susceptible to electromagnetic interference, and stability needs to be improved. Therefore, some researchers consider that it is feasible to collect data and upload it to the cloud for processing. However, for large-scale energy storage power stations, the number of battery cells is in the order of hundreds of thousands to millions, and the amount of data is huge, so it is difficult to upload it directly to the cloud. Summary of the invention

[0003] Technical solution: In order to solve the technical problem that it is difficult to upload data directly to the cloud due to the huge amount of data in the above-mentioned energy storage field, the present invention provides 1. A low-cost and efficient cloud-based method for uploading energy storage cell data based on video coding technology, characterized in that: the specific steps are: S01, treating each energy storage cell as a pixel, obtaining the value range of multiple collected signals of the energy storage cell, and constructing a corresponding relationship table between the signal values ​​collected by the energy storage cell and RGB; directly converting the real-time signal value collected from the energy storage cell into the RGB information of the picture through the corresponding relationship table;

[0004] S02, through video encoding technology, compresses and encodes the RGB information of the image in S01 and uploads it to the cloud;

[0005] S03, storing and analyzing data in the cloud, as well as decoding and restoring, performing color correction and adjustment during decoding to ensure that the decoded colors are restored to the original colors;

[0006] S04, according to the corresponding relationship table in S01, reverse conversion is performed to convert the RGB information of the picture obtained in S03 into the information collected by the battery cell to realize data transmission.

[0007] As an improvement, a verification mechanism is also included, which sends verification data packets at regular intervals. The receiving end verifies the data after receiving it. If data errors are found, it will request resending.

[0008] As an improvement, the verification data packet includes using a reserved field or parameter in the encoding to transmit verification information, and the reserved field or parameter is a mark that adds a different mark from the conventional color in a special frame. The color mark is identified by the receiving end to determine whether the data is complete.

[0009] As an improvement, a symmetric encryption algorithm is also used. After the battery cell signal data is converted into RGB information, the data is encrypted using a pre-set key, and the same key is used for decryption at the receiving end.

[0010] As an improvement, the secret key is replaced regularly, or a symmetric encryption algorithm is combined with an asymmetric encryption algorithm, encryption is performed when the secret key is transmitted, the entire data packet is encrypted, and key information is encrypted separately.

[0011] As an improvement, in S02, the video encoding technology adopts the video encoding technology of H.264 or H.265 video compression format.

[0012] As an improvement, S03 also includes pixel fidelity processing, including setting up a color space database, collecting color information, or adding additional information of brightness and saturation through the encoding process.

[0013] As a specific embodiment of the present invention, the present invention also provides a low-cost and efficient cloud-based energy storage cell data system based on video coding technology, including an energy storage cell data acquisition unit, a video coding processing unit, a cloud, a decoding data restoration unit, and a receiving terminal;

[0014] The energy storage cell data acquisition unit is used to collect real-time signal data of each energy storage cell and transmit it to the video encoding processing unit;

[0015] The video encoding processing unit is used to convert the signal data into RGB information of the picture through video encoding technology and transmit it to the cloud;

[0016] The cloud is used to store and analyze the RGB information of the picture, and to interact with the decoding data restoration unit to restore the RGB information of the picture into real-time signal data of the energy storage cell;

[0017] The receiving terminal is used to store and receive real-time signal data of the energy storage cell.

[0018] As an improvement, it also includes a data security unit and a pixel database unit. The data security unit is used to perform data verification, set secret keys, and encrypt secret keys during data transmission; the pixel database unit is used to classify and subdivide color information when comparing and converting battery cell data with RGB information on the screen, and achieve pixel fidelity through a big data color library.

[0019] As another specific embodiment of the present invention, the present invention also provides a computer-readable medium, which, when executed by one or more computers, stores instructions and performs operations of the method for low-cost and efficient cloud uploading of energy storage cell data based on video encoding technology.

[0020] Beneficial effect: The method proposed in the present invention successfully and innovatively applies video encoding technology to the field of cloud-based energy storage cell data for the first time, opening up a new data transmission and processing method, overcoming the technical difficulties of the current power system, especially in the field of processing huge energy storage cells, where there is too much and huge data and it is impossible to upload it to the cloud.

[0021] Specifically, the battery cell data is converted into RGB information and compressed and transmitted using mature video encoding technology, solving the problem that the large amount of battery cell data in large energy storage power stations is difficult to upload directly to the cloud. At the same time, multiple measures are taken during the encoding and decoding process to ensure lossless restoration and security of data.

[0022] The method of the present invention has the following advantages: (1) The use of mature video encoding technology reduces the cost of industrial implementation, and there are dedicated encoding and decoding chips, which work stably and reliably. (2) The use of a wider color space and the addition of additional information ensure the fidelity of the pure pixel level and reduce color distortion. (3) The verification mechanism and encryption algorithm ensure the integrity and security of the data. (4) The overall solution provides new ideas and methods for the intelligent management of energy storage power stations and has high practical value. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 The figure is a logical schematic diagram of the cloud migration method of the present invention. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present invention will be described clearly and completely below so that those skilled in the art can better understand the advantages and features of the present invention, thereby making a clearer definition of the protection scope of the present invention. The embodiments described in the present invention are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present invention.

[0025] See Figure 1 As shown, a low-cost and efficient cloud-based system for energy storage cell data based on video coding technology of the present invention includes an energy storage cell data acquisition unit, a video coding processing unit, a cloud, a decoding data restoration unit, and a receiving terminal; wherein the energy storage cell data acquisition unit is used to collect real-time signal data of each energy storage cell and transmit it to the video coding processing unit; the video coding processing unit is used to convert the signal data into picture RGB information through video coding technology and transmit it to the cloud; the cloud is used to store and analyze the picture RGB information, and to interact with the decoding data restoration unit to complete the restoration of the picture RGB information into real-time signal data of the energy storage cell; the receiving terminal is used to store and receive the real-time signal data of the energy storage cell.

[0026] It also includes a data security unit and a pixel database unit. The data security unit is used to verify data, set secret keys, and encrypt secret keys during data transmission. The pixel database unit is used to classify and subdivide color information when comparing and converting battery cell data with RGB information on the screen, and to achieve pixel fidelity through the color library of big data. The following is a detailed introduction to the low-cost and efficient cloud-based method for uploading energy storage battery cell data based on video coding technology in the present invention.

[0027] Step 1: Treat each energy storage cell as a pixel, obtain the value range of multiple collected signals of the energy storage cell, and construct a corresponding relationship table between the signal values ​​collected by the energy storage cell and RGB; directly convert the real-time signal value collected from the energy storage cell into the RGB information of the screen through the corresponding relationship table;

[0028] Step 2: Using video encoding technology, the RGB information of the image in step 1 is compressed and encoded and uploaded to the cloud;

[0029] Step 3: Data is stored and analyzed in the cloud, and decoding and restoration are performed. Color correction and adjustment are performed during decoding to ensure that the decoded colors are restored to the original colors.

[0030] Step 4: Reverse conversion is performed according to the corresponding relationship table in step 1, and the RGB information of the picture obtained in step 3 is converted into the information collected by the battery cell to realize data transmission.

[0031] In the present invention, in step 1, in order to realize the conversion between the real-time signal data of the energy storage cell and the RGB information of the screen, each cell is regarded as a pixel in the present invention, and the temperature, voltage, current and other information of the cell are converted into the RGB information of the screen. Specifically, it is achieved by: establishing an accurate correspondence table, preferably a specific voltage range corresponds to a specific red value range, a temperature range corresponds to a green value range, and a current range corresponds to a blue value range, so as to achieve a one-to-one correspondence to reduce the fuzzy area and ensure the accuracy of the data during the conversion process.

[0032] Furthermore, in step 2, the present invention uses mature video encoding technology (such as H.264 or H.265) for the first time to compress and encode the RGB information and then upload it to the cloud.

[0033] In the process of compression encoding and decoding, in order to ensure the fidelity of pure pixel level, the present invention sets up pixel fidelity processing, including setting up a color space database, collecting color information, or adding additional information of brightness and saturation during the encoding process.

[0034] Specific implementation methods include constructing a more widely used color space, such as Adobe RGB or ProPhotoRGB, to accommodate more color information and reduce the possibility of color distortion. In the encoding process, additional information such as color brightness and saturation is added to better restore the color during decoding. Color correction and adjustment are performed during decoding to ensure that the decoded color is as close to the original color as possible.

[0035] In order to ensure the security of data transmission, the present invention converts the RGB information of the picture into temperature, voltage, and current information to ensure that the data is lossless. The reverse conversion is performed strictly according to the correspondence table, and a verification mechanism is added during the transmission process. For example, a verification data packet is sent at regular intervals. The receiving end verifies the data after receiving it. If the data is found to be erroneous, it requests to resend it in time. The verification packet can be performed outside the H.264 or H.265 encoding technology system, and it can also be considered to use the reserved fields or parameters in the encoding to transmit verification information, such as adding special color marks in certain specific frames. The receiving end determines whether the data is complete by identifying these color marks.

[0036] The present invention also includes using a symmetric encryption algorithm, such as AES, to encrypt the data using a pre-set key after converting the cell data into RGB information. At the receiving end, the same key is used for decryption. To improve security, the key can be changed regularly. In combination with an asymmetric encryption algorithm, such as RSA, encryption is performed when the key is transmitted to ensure the secure transmission of the key. During the encryption process, the entire data packet can be encrypted, or key information can be encrypted separately.

[0037] Example 1

[0038] First, determine the value range of the temperature, voltage, and current of the battery cell, and establish an accurate correspondence table with the RGB color value based on these ranges. Then, monitor the state of the battery cell in real time, obtain temperature, voltage, and current data, and convert these data into RGB information according to the correspondence table. Next, use mature video encoding technology to compress and encode the RGB information. During the encoding process, you can select a suitable color space and add additional information such as brightness and saturation. After that, upload the encoded data to the cloud for storage and analysis. When the data is needed in the cloud, perform a decoding operation, and perform color correction and adjustment during the decoding process to ensure that the restored color is close to the original color. Then convert the RGB information back to temperature, voltage, and current information according to the correspondence table. At the same time, during the data transmission process, a check data packet is sent at a certain time interval, and the receiving end verifies the data after receiving it. If a data error is found, it is requested to be resent in time. For data encryption, after the battery cell data is converted into RGB information, a symmetric encryption algorithm is used to encrypt the data, and an asymmetric encryption algorithm is combined to encrypt the key for transmission to ensure data security.

[0039] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A low-cost and efficient cloud-based method for storing energy storage cell data based on video coding technology, characterized by: The specific steps are as follows: S01, treating each energy storage cell as a pixel, obtaining the value range of multiple collected signals of the energy storage cell, and constructing a corresponding relationship table between the signal values ​​collected by the energy storage cell and RGB; directly converting the real-time signal value collected from the energy storage cell into the RGB information of the screen through the corresponding relationship table; S02, through video encoding technology, compresses and encodes the RGB information of the image in S01 and uploads it to the cloud; S03, storing and analyzing data in the cloud, as well as decoding and restoring, performing color correction and adjustment during decoding to ensure that the decoded colors are restored to the original colors; S04, according to the corresponding relationship table in S01, reverse conversion is performed to convert the RGB information of the picture obtained in S03 into the information collected by the battery cell to realize data transmission.

2. According to claim 1, the method for uploading energy storage cell data to the cloud at low cost and high efficiency based on video coding technology is characterized in that: It also includes verification mechanism processing, which sends verification data packets at regular intervals. The receiving end verifies the data after receiving it. If data errors are found, it will request resending.

3. According to claim 2, the method for uploading energy storage cell data to the cloud at low cost and high efficiency based on video coding technology is characterized in that: The verification data packet includes using a reserved field or parameter in the encoding to transmit verification information. The reserved field or parameter is a mark that is different from the normal color in a special frame. The color mark is identified by the receiving end to determine whether the data is complete.

4. According to claim 1, the method for uploading energy storage cell data to the cloud at low cost and high efficiency based on video coding technology is characterized in that: It also includes the use of a symmetric encryption algorithm, which encrypts the data using a pre-set key after converting the cell signal data into RGB information, and decrypts it using the same key at the receiving end.

5. According to claim 4, the method for uploading energy storage cell data to the cloud at low cost and high efficiency based on video coding technology is characterized in that: The secret key is periodically replaced, or a symmetric encryption algorithm is combined with an asymmetric encryption algorithm, encryption is performed when the secret key is transmitted, the entire data packet is encrypted, and key information is encrypted separately.

6. According to claim 1, the method for uploading energy storage cell data to the cloud at low cost and high efficiency based on video coding technology is characterized in that: In S02, the video encoding technology adopts the video encoding technology of H.264 or H.265 video compression format.

7. According to claim 1, the method for uploading energy storage cell data to the cloud at low cost and high efficiency based on video coding technology is characterized in that: S03 also includes pixel fidelity processing, including setting a color space database, collecting color information, or adding additional information of brightness and saturation through the encoding process.

8. A low-cost and efficient cloud-based system for energy storage cell data based on video coding technology, characterized by: It includes energy storage cell data acquisition unit, video encoding processing unit, cloud, decoding data restoration unit, and receiving terminal; The energy storage cell data acquisition unit is used to collect real-time signal data of each energy storage cell and transmit it to the video encoding processing unit; The video encoding processing unit is used to convert the signal data into RGB information of the picture through video encoding technology and transmit it to the cloud; The cloud is used to store and analyze the RGB information of the picture, and to interact with the decoding data restoration unit to restore the RGB information of the picture into real-time signal data of the energy storage cell; The receiving terminal is used to store and receive real-time signal data of the energy storage cell.

9. According to claim 8, the system is a low-cost and efficient cloud-based system for storing energy storage cell data based on video coding technology, characterized in that: It also includes a data security unit and a pixel database unit. The data security unit is used to perform data verification, set secret keys, and encrypt secret keys during data transmission. The pixel database unit is used to classify and subdivide color information when comparing and converting battery cell data with RGB information on the screen, and to achieve pixel fidelity through a big data color library.

10. A computer-readable medium, characterized in that When the medium is executed by one or more computers and stores instructions, the medium performs operations of the low-cost and efficient cloud-based method for uploading energy storage cell data based on video encoding technology as described in any one of claims 1-7.

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