Intelligent mine data management method based on block chain technology

Abstract

The invention discloses an intelligent mine data management method based on a block chain technology, and relates to the field of data management, and the method comprises the following steps: obtaining mine management information, carrying out the classification processing of the mine management information, and setting a data monitoring node to obtain corresponding mine data information; setting a data management node, setting a mining process sequence according to the mine data information, analyzing and processing the mine data information according to the mining process sequence, obtaining mine coding information, and obtaining a mine coding numerical value according to the mine coding information; obtaining a corresponding sequence image according to the mine coding value, and encrypting the obtained sequence image to obtain an encrypted image; acquiring a corresponding mining image according to the mining process sequence and the encrypted image, and uploading the mining image to the block of the block chain for storage; according to the invention, the safety of mine data is improved to a certain extent.

Description

Technical Field

[0001] The present invention relates to the field of data management, and in particular to a smart mine data management method based on blockchain technology. Background Art

[0002] With the rapid development of science and technology, smart mines, as an innovative model in the mining field, are increasingly attracting widespread attention from the industry. The construction of smart mines not only improves the production efficiency of mines, but also enhances the safety of mine operations. However, with the deepening of mine informatization, how to effectively manage massive amounts of mine data and ensure the authenticity, integrity and security of the data has become an urgent problem to be solved in the development of smart mines.

[0003] Traditional mine data management methods often rely on centralized database systems, which have problems such as easy data tampering, poor security and difficult traceability. In addition, various types of data generated in the mining production process cannot be stored and shared safely and feasible. Therefore, how to improve the security of mine data management is a problem we need to solve. To this end, this paper provides a smart mine data management method based on blockchain technology. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of the present invention is to provide a smart mine data management method based on blockchain technology.

[0005] The purpose of the present invention can be achieved by the following technical solution: A smart mine data management method based on blockchain technology, comprising the following steps:

[0006] Step S1: Setting up a mine data management platform, acquiring mine management information, classifying the acquired mine management information, acquiring corresponding mine data information according to the classification processing result, and marking the mine data information;

[0007] Step S2: setting a corresponding data management node according to the marking result of the mine data information, setting a mining process sequence for the mine data information according to the mine mining process, and slicing the mine data information according to the mining process sequence to obtain data slicing;

[0008] Step S3: encoding each data slice according to the mining process sequence, obtaining the mine code information corresponding to the corresponding mine data information according to the encoding processing results of each data slice, converting the mine code information into a coding signal, and obtaining the corresponding mine code value;

[0009] Step S4: setting a sequence image corresponding to a corresponding mining process sequence according to the obtained mine code value, and encrypting the obtained sequence image to obtain a corresponding encrypted image;

[0010] Step S5: Obtain the mining graphics corresponding to each mine data information according to the obtained encrypted image, upload it to the blockchain block, and store it.

[0011] Furthermore, the process of obtaining the mine management information and classifying the obtained mine management information includes:

[0012] A mine data management platform is set up, and the mine data management platform is used for corresponding staff to input mine management information, and the mine management information includes production management information, production operation information, production resource information and production qualification information, and verification processing is performed according to the production qualification information, and whether to grant the authority of the corresponding mine data management platform is determined according to the verification processing result;

[0013] The three types of production management information, production operation information and production resource information corresponding to the verified mine management information are classified and processed in turn, and the features of different types of data information in the mine management information are extracted to obtain the functional features, data type features and usage purpose features corresponding to the corresponding types of mine management information;

[0014] Classification processing is performed according to the characteristic data corresponding to the mine management information, and corresponding data monitoring nodes are set according to the classification processing results. The data monitoring nodes are used to obtain corresponding mine data information, and the corresponding mine data information is marked according to the classification processing results of the data monitoring nodes.

[0015] Furthermore, the process of setting the corresponding data management node according to the marking result of the mine data information includes:

[0016] Obtain the classification standards corresponding to the functional characteristics, data type characteristics and usage purpose characteristics of each data monitoring node in the corresponding mine, set the corresponding sequence processing node according to the three characteristic types, and set the corresponding number of data management nodes in the sequence processing node according to the classification standards;

[0017] The data management node is used to analyze and process the mine data information corresponding to the corresponding feature type classification standard; each data management node is respectively provided with a data processing queue, and the data processing queue is used to obtain the mine data information that has not been analyzed and processed, mark it as data to be processed, and enter the data to be processed into the data processing queue in sequence according to the acquisition time for sorting, and obtain the queue data to be processed of the corresponding data processing queue;

[0018] Obtain mining data information, select priority processing nodes according to the pending queue data of the data processing queue corresponding to the corresponding data management node in the sequence processing node, and mark them until the corresponding data management nodes in each sequence processing node have completed processing.

[0019] Furthermore, the process of setting a mining process sequence for the mine data information according to the mine mining process includes:

[0020] The data management node sequentially obtains corresponding mine data information in the data processing queue, analyzes and processes the mine data information, obtains mine management information, obtains the mine mining process according to the mine management information, and sets a corresponding mining process sequence according to the mine mining process;

[0021] The obtained mining process sequence is matched with the obtained mine data information, and the mine data information is data-sliced ​​according to the mining process sequence based on the matching result, and corresponding data processing sub-nodes are set for the data slices corresponding to the mine data information. The data processing sub-nodes are used to analyze and process the data slices corresponding to the mine data information, and the data processing sub-nodes are set according to the mining process sequence to process the data of the corresponding data slices.

[0022] Furthermore, the process of obtaining mine coding information includes:

[0023] Acquire data slices and corresponding data processing sub-nodes of the mine data information corresponding to the mining process sequence, and the data processing sub-nodes perform encoding processing on the corresponding data slices;

[0024] Analyze and process the data slices based on the semantic analysis algorithm, obtain the text data and semantic data corresponding to the corresponding data slices, convert the obtained text data and semantic data, and obtain the corresponding word frequency matrix and weighting matrix;

[0025] The obtained word frequency matrix and weight matrix are standardized, the standardized matrices are spliced, the corresponding coding matrix is ​​obtained according to the splicing result, the coding matrix is ​​feature selected and dimension reduced to obtain the corresponding fragment coding information;

[0026] The shard coding information corresponding to all data shards of the mine data information is obtained, and the shard coding information corresponding to the mine data information is obtained according to the sorting result.

[0027] Furthermore, the process of converting the mine code information into a code signal to obtain a corresponding mine code value includes:

[0028] Obtain the corresponding fragment coding information and the number of codes corresponding to the fragment coding information in the mine coding information, preset a coding space group set, the coding space group set includes spaces of corresponding digits, select the corresponding number of fragment coding information in sequence to the corresponding space positions in the coding space group set according to the number of codes of the fragment coding information, and obtain the coding information group in the space at the corresponding position;

[0029] The obtained coding information group is converted into a coding signal, a mapping function is set, and the corresponding coding information in the coding information group is mapped based on the mapping function to obtain the corresponding coding value; the coding value obtained at each space position in the coding space group set is marked to obtain the corresponding mine coding value.

[0030] Furthermore, the process of obtaining the corresponding encrypted image includes:

[0031] According to the coding space group set corresponding to each piece of coding information and the coding value obtained at each space position, the coding values ​​corresponding to each piece of coding information are arranged vertically in sequence according to the mining process sequence, and the coding values ​​corresponding to each coding space group set are arranged in rows; each space is mapped to a corresponding pixel point, and the coding value is mapped to a corresponding pixel value to obtain a sequence image of the mine coding value;

[0032] The obtained sequence images are subjected to chaotic transformation, the number of iterations of the corresponding pixel points is set according to the type of sequence processing nodes, and the obfuscated image obtained after the iteration is marked as the encrypted image of the corresponding sequence image.

[0033] Further, the encrypted images corresponding to the obtained sequence images are comprehensively analyzed to obtain comprehensive values ​​corresponding to each sequence image, and the obtained comprehensive values ​​are used to perform image transformation on the encrypted image obtained in the next sequence processing node, and the encrypted images obtained in each sequence processing node are cyclically transformed in turn to obtain a cyclically transformed image;

[0034] The obtained cyclic transformation images are spliced ​​to obtain the mining images corresponding to the corresponding mining data information;

[0035] The corresponding blockchain block is set according to the mine data information, and the corresponding mine mining image is uploaded to the corresponding blockchain block according to the blockchain block to which the mine data information belongs, and continues to be stored.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. By setting corresponding sequence processing nodes for corresponding mine data information according to corresponding classification results, analyzing and processing the mine data information in turn according to the sequence processing nodes, obtaining corresponding sequence images, performing image transformation according to the sequence images, obtaining corresponding mine development images, and uploading the obtained mine development images to the blockchain block for storage, the security of the corresponding mine data information is improved to a certain extent;

[0038] 2. By setting corresponding coding space groups, setting corresponding spaces in each coding space group, allocating the coding information to the corresponding spaces, analyzing and processing the corresponding spaces according to the coding information therein, obtaining corresponding coding values, and setting the corresponding coding values ​​as pixel values, it is determined that the number of pixels corresponding to each coding space group is consistent. The obtained sequence image represents the data fragmentation corresponding to the corresponding mining data information, thereby improving the security of the data information to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a schematic diagram of a smart mine data management method based on blockchain technology in an embodiment of the present application. DETAILED DESCRIPTION

[0040] like Figure 1 As shown, a smart mine data management method based on blockchain technology includes the following steps:

[0041] A smart mine data management method based on blockchain technology, comprising the following steps:

[0042] Step S1: Setting up a mine data management platform, acquiring mine management information, classifying the acquired mine management information, acquiring corresponding mine data information according to the classification processing result, and marking the mine data information;

[0043] Step S2: setting a corresponding data management node according to the marking result of the mine data information, setting a mining process sequence for the mine data information according to the mine mining process, and slicing the mine data information according to the mining process sequence to obtain data slicing;

[0044] Step S3: encoding each data slice according to the mining process sequence, obtaining the mine code information corresponding to the corresponding mine data information according to the encoding processing results of each data slice, converting the mine code information into a coding signal, and obtaining the corresponding mine code value;

[0045] Step S4: setting a sequence image corresponding to a corresponding mining process sequence according to the obtained mine code value, and encrypting the obtained sequence image to obtain a corresponding encrypted image;

[0046] Step S5: Obtain the mining graphics corresponding to each mine data information according to the obtained encrypted image, upload it to the blockchain block, and store it.

[0047] It should be further explained that, in the specific implementation process, the process of setting up a mine data management platform, obtaining mine management information, classifying the obtained mine management information, obtaining corresponding mine data information according to the classification processing results, and marking the mine data information includes:

[0048] Setting up a mine data management platform, wherein the mine data management platform is used for corresponding staff to input mine management information, wherein the mine management information includes production management information, production operation information, production resource information and production qualification information;

[0049] The production management information includes production plan, production schedule, equipment management data and quality management data;

[0050] The production operation information includes mining process operation information during mining;

[0051] The production resource information includes equipment resources and environmental resource information during mining;

[0052] The production qualification information includes the license and enterprise certification information, safety qualification information and environmental monitoring qualification information during the mining process;

[0053] Verify the obtained production qualification information, determine whether the corresponding certification information and qualification information meet the standards, and grant the mine management information corresponding to the production qualification information that meets the standards to the corresponding mine data management platform;

[0054] The three types of production management information, production operation information and production resource information corresponding to the verified mine management information are classified and processed in turn, and the features of different types of data information in the mine management information are extracted to obtain the functional features, data type features and usage purpose features corresponding to the corresponding types of mine management information;

[0055] Classify and process the characteristic data corresponding to the mine management information, set corresponding data monitoring nodes according to the classification processing results, and use the data monitoring nodes to obtain corresponding mine data information, and mark the corresponding mine data information according to the classification processing results of the data monitoring nodes;

[0056] The classification criteria corresponding to the functional characteristics include different functional areas of mine operations;

[0057] The classification standard corresponding to the data type feature includes the data type corresponding to the obtained mine management information, including image data, text data, and numerical data;

[0058] The classification standards corresponding to the purpose of use characteristics include decision support type, compliance monitoring type, etc.

[0059] It should be further explained that, in the specific implementation process, the corresponding data management node is set according to the marking result of the mine data information, the mining process sequence is set for the mine data information according to the mine mining process, and the mine data information is sliced ​​according to the mining process sequence. The process of obtaining data slices includes:

[0060] Obtain the classification standards corresponding to the functional characteristics, data type characteristics and usage purpose characteristics of each data monitoring node in the corresponding mine, and set the corresponding sequence processing nodes according to the three feature types.

[0061] The sequence processing node is configured with a corresponding data management node according to the classification standards corresponding to different types of feature data, and the data management node is used to analyze and process the corresponding mining data information according to the classification standards corresponding to the data management node;

[0062] Each data management node is provided with a data processing queue, which is used to obtain the mining data information that has not been analyzed and processed, mark it as data to be processed, and enter the data to be processed into the data processing queue in sequence according to the acquisition time for sorting, and obtain the queue data to be processed of the corresponding data processing queue;

[0063] Obtain the to-be-processed queue data of the data management node corresponding to each sequence processing node of the mine data information, sort the obtained to-be-processed queue data from small to large, set the data processing priority according to the sorting result, and give priority to the data management node corresponding to the sequence processing node with small to-be-processed queue data; until the corresponding data management nodes in each sequence processing node complete the processing of the corresponding mine data information;

[0064] The data management node sequentially obtains corresponding mine data information in the data processing queue, analyzes and processes the mine data information, obtains mine management information, obtains the mine mining process according to the mine management information, and sets a corresponding mining process sequence according to the mine mining process;

[0065] The obtained mining process sequence is matched with the obtained mine data information, and the mine data information is data-sliced ​​according to the mining process sequence based on the matching result, and corresponding data processing sub-nodes are set for the data slices corresponding to the mine data information. The data processing sub-nodes are used to analyze and process the data slices corresponding to the mine data information, and the data processing sub-nodes are set according to the mining process sequence to process the data of the corresponding data slices.

[0066] It should be further explained that, in the specific implementation process, the encoding process is performed on each data slice according to the mining process sequence, the mine code information corresponding to the corresponding mine data information is obtained according to the encoding process result of each data slice, the mine code information is converted into a code signal, and the process of obtaining the corresponding mine code value includes:

[0067] Acquire data slices and corresponding data processing sub-nodes of the mine data information corresponding to the mining process sequence, and the data processing sub-nodes perform encoding processing on the corresponding data slices;

[0068] The data segments are analyzed and processed based on the semantic analysis algorithm to obtain the text data and semantic data corresponding to the corresponding data segments, and the obtained text data and semantic data are converted to obtain the corresponding word frequency matrix and weighting matrix. The specific implementation process includes:

[0069] Preprocess the obtained text to remove punctuation, convert to lowercase, remove stop words, etc.;

[0070] Split text into words or phrases;

[0071] For each document, calculate the frequency of each word in the vocabulary and generate a word frequency matrix; construct an m×n matrix, where m is the number of documents, n is the vocabulary size, and each matrix element represents the frequency of the corresponding word in the corresponding document;

[0072] Perform document statistics on the obtained text data and semantic data, obtain the word frequency of the corresponding word, and mark it as TF; obtain the inverse document frequency of the word in all documents and mark it as IDF;

[0073] TF-IDF(t,d)=TF(t,d)×IDF(t);

[0074] Where TF(t, d) is the frequency of word t in document d, and the obtained result is marked as a word frequency matrix; DF(t) is the number of documents containing word t;

[0075] Fill the TF-IDF calculation results of each document into the matrix to generate an m×n matrix, where m is the number of documents, n is the vocabulary size, and each element represents the TF-IDF value of the corresponding word in the corresponding document;

[0076] The obtained word frequency matrix and weight matrix are standardized, the standardized matrices are spliced, the corresponding coding matrix is ​​obtained according to the splicing result, the coding matrix is ​​feature selected and dimension reduced to obtain the corresponding fragment coding information;

[0077] Obtain the shard coding information corresponding to all data shards of the mine data information, mark and sort them in sequence according to the mining process sequence, and obtain the mine coding information corresponding to the mine data information according to the sorting result;

[0078] Obtain the corresponding fragment coding information and the number of codes corresponding to the fragment coding information in the mine coding information, preset a coding space group set, the coding space group set includes spaces of corresponding digits, select the corresponding number of fragment coding information in sequence to the corresponding space positions in the coding space group set according to the number of codes of the fragment coding information, and obtain the coding information group in the space at the corresponding position;

[0079] In this process, by encoding the empty positions in the space group set, it is ensured that the number of pixels corresponding to each slice encoding information is consistent, so that the number of row pixels of the sequence image is consistent;

[0080] The obtained coded information group is converted into a coded signal, and the mapping function is marked as f(n);

[0081]

[0082] The corresponding coding information in the coding information group is mapped based on the mapping function to obtain the corresponding coding value; the coding value obtained at each space position in the coding space group set is marked to obtain the corresponding mine coding value.

[0083] It should be further explained that, in the specific implementation process, the sequence image corresponding to the corresponding mining process sequence is set according to the obtained mine code value, and the obtained sequence image is encrypted. The process of obtaining the corresponding encrypted image includes:

[0084] According to the coding space group set corresponding to each piece of coding information and the coding value obtained at each space position, the coding values ​​corresponding to each piece of coding information are arranged vertically in sequence according to the mining process sequence, and the coding values ​​corresponding to each coding space group set are arranged in rows; each space is mapped to a corresponding pixel point, and the coding value is mapped to a corresponding pixel value to obtain a sequence image of the mine coding value;

[0085] Performing chaotic transformation on the obtained sequence images, setting the number of iterations of the corresponding pixel points according to the type of sequence processing nodes, and marking the obfuscated image obtained after the iteration as the encrypted image of the corresponding sequence image;

[0086] The process of chaotic transformation includes:

[0087]

[0088] It should be further explained that, in the specific implementation process, the process of obtaining the mining graphics corresponding to each mining data information according to the obtained encrypted image, uploading it to the blockchain block, and storing it includes:

[0089] Comprehensively analyzing the encrypted images corresponding to the obtained sequence images to obtain comprehensive values ​​corresponding to each sequence image, using the obtained comprehensive values ​​to perform image transformation on the encrypted image obtained in the next sequence processing node, and cyclically transforming the encrypted images obtained in each sequence processing node in turn to obtain a cyclically transformed image;

[0090] The obtained cyclic transformation images are spliced ​​to obtain the mining images corresponding to the corresponding mining data information;

[0091] The corresponding blockchain block is set according to the mine data information, and the corresponding mine mining image is uploaded to the corresponding blockchain block according to the blockchain block to which the mine data information belongs, and continues to be stored.

[0092] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A smart mine data management method based on blockchain technology, characterized in that: The following steps are involved: Step S1: Setting up a mine data management platform, acquiring mine management information, classifying the acquired mine management information, acquiring corresponding mine data information according to the classification processing result, and marking the mine data information; Step S2: setting a corresponding data management node according to the marking result of the mine data information, setting a mining process sequence for the mine data information according to the mine mining process, and slicing the mine data information according to the mining process sequence to obtain data slicing; Step S3: encoding each data slice according to the mining process sequence, obtaining the mine code information corresponding to the corresponding mine data information according to the encoding processing results of each data slice, converting the mine code information into a coding signal, and obtaining the corresponding mine code value; Step S4: setting a sequence image corresponding to a corresponding mining process sequence according to the obtained mine code value, and encrypting the obtained sequence image to obtain a corresponding encrypted image; Step S5: Obtain the mining graphics corresponding to each mine data information according to the obtained encrypted image, upload it to the blockchain block, and store it.

2. According to claim 1, a smart mine data management method based on blockchain technology is characterized in that: The process of obtaining the mine management information and classifying the obtained mine management information includes: A mine data management platform is set up, and the mine data management platform is used for corresponding staff to input mine management information, and the mine management information includes production management information, production operation information, production resource information and production qualification information, and verification processing is performed according to the production qualification information, and whether to grant the authority of the corresponding mine data management platform is determined according to the verification processing result; The three types of production management information, production operation information and production resource information corresponding to the verified mine management information are classified and processed in turn, and the features of different types of data information in the mine management information are extracted to obtain the functional features, data type features and usage purpose features corresponding to the corresponding types of mine management information; Classification processing is performed according to the characteristic data corresponding to the mine management information, and corresponding data monitoring nodes are set according to the classification processing results. The data monitoring nodes are used to obtain corresponding mine data information, and the corresponding mine data information is marked according to the classification processing results of the data monitoring nodes.

3. According to claim 2, a smart mine data management method based on blockchain technology is characterized in that: The process of setting the corresponding data management node according to the marking result of the mine data information includes: Obtain the classification standards corresponding to the functional characteristics, data type characteristics and usage purpose characteristics of each data monitoring node in the corresponding mine, set the corresponding sequence processing node according to the three characteristic types, and set the corresponding number of data management nodes in the sequence processing node according to the classification standards; The data management node is used to analyze and process the mine data information corresponding to the corresponding feature type classification standard; each data management node is respectively provided with a data processing queue, and the data processing queue is used to obtain the mine data information that has not been analyzed and processed, mark it as data to be processed, and enter the data to be processed into the data processing queue in sequence according to the acquisition time for sorting, and obtain the queue data to be processed of the corresponding data processing queue; Obtain mining data information, select priority processing nodes according to the pending queue data of the data processing queue corresponding to the corresponding data management node in the sequence processing node, and mark them until the corresponding data management nodes in each sequence processing node have completed processing.

4. According to claim 3, a smart mine data management method based on blockchain technology is characterized in that: The process of setting a mining process sequence for the mine data information according to the mine mining process includes: The data management node sequentially obtains corresponding mine data information in the data processing queue, analyzes and processes the mine data information, obtains mine management information, obtains the mine mining process according to the mine management information, and sets a corresponding mining process sequence according to the mine mining process; The obtained mining process sequence is matched with the obtained mine data information, and the mine data information is data-sliced ​​according to the mining process sequence based on the matching result, and corresponding data processing sub-nodes are set for the data slices corresponding to the mine data information. The data processing sub-nodes are used to analyze and process the data slices corresponding to the mine data information, and the data processing sub-nodes are set according to the mining process sequence to process the data of the corresponding data slices.

5. According to claim 4, a smart mine data management method based on blockchain technology is characterized in that: The process of obtaining mine coding information includes: Acquire data slices and corresponding data processing sub-nodes of the mine data information corresponding to the mining process sequence, and the data processing sub-nodes perform encoding processing on the corresponding data slices; Analyze and process the data slices based on the semantic analysis algorithm, obtain the text data and semantic data corresponding to the corresponding data slices, convert the obtained text data and semantic data, and obtain the corresponding word frequency matrix and weighting matrix; The obtained word frequency matrix and weight matrix are standardized, the standardized matrices are spliced, the corresponding coding matrix is ​​obtained according to the splicing result, the coding matrix is ​​feature selected and dimension reduced to obtain the corresponding fragment coding information; The shard coding information corresponding to all data shards of the mine data information is obtained, and the shard coding information corresponding to the mine data information is obtained according to the sorting result.

6. According to claim 5, a smart mine data management method based on blockchain technology is characterized in that: The process of converting the mine code information into a code signal to obtain the corresponding mine code value includes: Obtain the corresponding fragment coding information and the number of codes corresponding to the fragment coding information in the mine coding information, preset a coding space group set, the coding space group set includes spaces of corresponding digits, select the corresponding number of fragment coding information in sequence to the corresponding space positions in the coding space group set according to the number of codes of the fragment coding information, and obtain the coding information group in the space at the corresponding position; The obtained coding information group is converted into a coding signal, a mapping function is set, and the corresponding coding information in the coding information group is mapped based on the mapping function to obtain the corresponding coding value; the coding value obtained at each space position in the coding space group set is marked to obtain the corresponding mine coding value.

7. According to claim 6, a smart mine data management method based on blockchain technology is characterized in that: The process of obtaining the corresponding encrypted image includes: According to the coding space group set corresponding to each piece of coding information and the coding value obtained at each space position, the coding values ​​corresponding to each piece of coding information are arranged vertically in sequence according to the mining process sequence, and the coding values ​​corresponding to each coding space group set are arranged in rows; each space is mapped to a corresponding pixel point, and the coding value is mapped to a corresponding pixel value to obtain a sequence image of the mine coding value; The obtained sequence images are subjected to chaotic transformation, the number of iterations of the corresponding pixel points is set according to the type of sequence processing nodes, and the obfuscated image obtained after the iteration is marked as the encrypted image of the corresponding sequence image.

8. The method for managing smart mine data based on blockchain technology according to claim 7 is characterized in that: Comprehensively analyzing the encrypted images corresponding to the obtained sequence images to obtain comprehensive values ​​corresponding to each sequence image, using the obtained comprehensive values ​​to perform image transformation on the encrypted image obtained in the next sequence processing node, and cyclically transforming the encrypted images obtained in each sequence processing node in turn to obtain a cyclically transformed image; The obtained cyclic transformation images are spliced ​​to obtain the mining images corresponding to the corresponding mining data information; The corresponding blockchain block is set according to the mine data information, and the corresponding mine mining image is uploaded to the corresponding blockchain block according to the blockchain block to which the mine data information belongs, and continues to be stored.

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