Intelligent prevention and control method for emulsion explosive production based on blockchain

Abstract

The present invention relates to the technical field of emulsion explosive data processing, and specifically to an intelligent prevention and control method for emulsion explosive production based on blockchain. The method comprises: obtaining the emulsion explosive production information and emulsion explosive production safety index on the chain; performing PCA analysis on the emulsification process information and the emulsification process safety index to obtain the correlation between the emulsification process information and the emulsification process safety index, determining the target emulsification process information corresponding to the emulsification process safety index in the emulsification process information according to the correlation, and obtaining a first safety index based on the target emulsification process information and the emulsification process safety index; analyzing the emulsification production line information and the emulsification production line safety index by means of a hierarchical analysis method to obtain a second safety index; and generating prevention and control measures based on the first safety index and the second safety index. The present invention can effectively improve the safety and stability of emulsion explosive production and reduce the risk of production accidents.

Description

Technical Field

[0001] The present invention relates to the technical field of emulsion explosive data processing, and in particular to an intelligent prevention and control method for emulsion explosive production based on blockchain. Background Art

[0002] As an explosive widely used in mining, tunneling and other fields, the safety and stability of the production process of emulsion explosives are of vital importance. However, the traditional production and control methods of emulsion explosives mainly rely on manual monitoring and operation, which have problems such as blind spots in monitoring, easy data tampering and untimely information transmission, which may lead to production safety hazards and accident risks.

[0003] With the rapid development of blockchain technology, its decentralized, tamper-proof, secure and reliable features provide new solutions for the safety control of emulsion explosive production. Blockchain technology builds a distributed ledger so that all participating nodes can share and verify data, thereby ensuring the integrity and credibility of the data. At the same time, the application of smart contract technology also makes various operations in the production process of emulsion explosives more automated and intelligent.

[0004] In the prior art, there is a lack of a blockchain-based intelligent prevention and control method for the production of emulsion explosives that can effectively improve the safety and stability of emulsion explosive production and reduce the risk of production accidents. Summary of the invention

[0005] The purpose of the present invention is to provide an intelligent prevention and control method for the production of emulsion explosives based on blockchain: at least to solve the problem that the existing solutions cannot improve the safety and stability of emulsion explosive production and reduce the risk of production accidents.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] An intelligent prevention and control method for emulsion explosive production based on blockchain, the method includes:

[0008] Obtain the production information and safety indicators of emulsion explosives on the blockchain. The production information includes emulsification process information and emulsification production line information, and the safety indicators of emulsion explosives include emulsification process safety indicators and emulsification production line safety indicators.

[0009] Performing PCA analysis on the emulsification process information and the emulsification process safety index to obtain the correlation between the emulsification process information and the emulsification process safety index, determining the target emulsification process information corresponding to the emulsification process safety index in the emulsification process information according to the correlation, and obtaining the first safety index based on the target emulsification process information and the emulsification process safety index;

[0010] The emulsification production line information and emulsification production line safety indicators are analyzed by hierarchical analysis method to obtain the second safety index;

[0011] Generate prevention and control measures based on the first safety index and the second safety index.

[0012] Furthermore, PCA analysis was performed on the emulsification process information and the emulsification process safety index, and the correlation between the emulsification process information and the emulsification process safety index was obtained, including:

[0013] Obtain emulsification temperature value and oil-water flow ratio value based on emulsification process information;

[0014] Based on the FP-Growth association rule mining algorithm, the indicator fields corresponding to the emulsification temperature value and the oil-water flow ratio value in the emulsification process safety index are determined;

[0015] The indicator fields are formed into a matrix X, and the covariance matrix S of the samples of the matrix X is calculated;

[0016] Calculate the eigenvectors e1,e2,…,e of the covariance matrix S n and eigenvalues, t=1,2...n;

[0017] The formula is used to project the data into the space of the feature vector. The formula is as follows:

[0018]

[0019] Among them, the BV value is the emulsification temperature value or the oil-water flow ratio value;

[0020] The characteristics of multivariate data are expressed in low-dimensional space to obtain the correlation between emulsification process information and emulsification process safety indicators.

[0021] Furthermore, the target emulsification process information corresponding to the emulsification process safety index is determined based on the correlation in the emulsification process information, including:

[0022] Obtain all emulsification process safety indicators including emulsification temperature value and oil-water flow ratio value;

[0023] An emulsification process safety indicator tree is generated with the emulsification process information and the emulsification process safety indicator with the greatest correlation as the trunk, and the emulsification process steps corresponding to the emulsification temperature value and the oil-water flow ratio value as the branches and leaves, thereby determining the target emulsification process information.

[0024] Further, obtaining the first safety index based on the target emulsification process information and the emulsification process safety index includes the following process:

[0025] Obtaining the temperature value in the emulsified explosive dissolving process step, the temperature value in the pumping process step, the temperature value in the emulsification process step, the temperature value in the mixing process step, and the oil-water flow ratio value in the target emulsification process information;

[0026] The first safety index is obtained by using the risk matrix method to combine the emulsification process safety index tree, the temperature value in the emulsified explosive dissolution process step, the temperature value in the pumping process step, the temperature value in the emulsification process step, the temperature value in the mixing process step, and the oil-water flow ratio.

[0027] Furthermore, the first safety index is obtained by using the risk matrix method based on the emulsification process safety index tree, the temperature value in the emulsified explosive dissolution process step, the temperature value in the pumping process step, the temperature value in the emulsification process step, the temperature value in the mixing process step, and the oil-water flow ratio value, including the following process:

[0028] Construct a risk matrix, which usually consists of a horizontal axis representing the likelihood of risk occurrence and a vertical axis representing the severity of risk consequences;

[0029] List all potential risks of a project or event;

[0030] Assess the likelihood of each potential risk occurring in turn, which can usually be classified as low, medium, or high, or quantified with numbers from 0 to 10;

[0031] Estimate the impact of each potential risk on the entire project or event, using numbers from 0 to 10 to quantify;

[0032] Find the corresponding intersection point of each risk on the matrix diagram, and add up the quantitative values ​​of the corresponding intersection points to obtain the first safety index.

[0033] Furthermore, the emulsification production line information and the emulsification production line safety index are analyzed by the hierarchical analysis method, and the second safety index is obtained, which includes the following process:

[0034] Establish a hierarchical model with a hierarchical structure, where the levels include the goal level, the criterion level and the measure level;

[0035] Construct a judgment matrix: determine the number of relevant influencing factors m at each level, and construct a set of dangerous factors for safety indicators of the emulsification production line U. in, is the subset of the equipment availability rate of the emulsification production line, It is the preparation rate subset of safety protection equipment for emulsification production line. is the renewal rate subset of the emulsification production line equipment, For the failure rate subsets that appear in the emulsification production line equipment, two subsets in the same level are taken out from the set U for comparison, m is used to represent the importance ratio, and the corresponding importance is assigned according to the preset ratio, and the importance of each layer is combined to form a judgment matrix;

[0036] Calculate the maximum eigenvalue γ of the judgment matrix:

[0037]

[0038] Among them, v αβ It is the matrix obtained by normalizing each column vector of the judgment matrix. The values ​​of α and β are 1, 2...m, w α is the matrix v αβ The elements of are added row by row to obtain the vector and then normalized into a matrix, w β is the matrix v αβ Add the elements of column by column to obtain the vector and then normalize the matrix;

[0039] Consistency test of judgment matrix:

[0040] When the judgment matrix has only one non-zero eigenvalue, it means that the matrix is ​​completely consistent. If the matrix V has more than one eigenvalue, the consistency index CI can be used:

[0041]

[0042] Among them, k represents the order of the judgment matrix. The smaller the CI value, the better the consistency, and vice versa.

[0043] The CI value is multiplied by the corresponding weight to obtain the second safety index.

[0044] Furthermore, generating prevention and control measures based on the first safety index and the second safety index includes:

[0045] The first security index and the second security index are summed to obtain a total security index value, and it is determined whether the total security index value exceeds a preset threshold. If so, an alarm signal is generated and broadcasted in the blockchain.

[0046] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0047] On the one hand, the present invention obtains the emulsion explosive production information and emulsion explosive production safety indicators on the chain, wherein the production information includes emulsification process information and emulsification production line information, and the emulsion explosive production safety indicators include emulsification process safety indicators and emulsification production line safety indicators; PCA analysis is performed on the emulsification process information and the emulsification process safety indicators to obtain the correlation between the emulsification process information and the emulsification process safety indicators, and the target emulsification process information corresponding to the emulsification process safety indicators is determined in the emulsification process information according to the correlation, so that the emulsification process safety indicators and the target emulsification process information can be quickly matched in the emulsion explosive production information on the chain in the blockchain, thereby improving the processing efficiency of information used for emulsion explosive production.

[0048] On the other hand, since the data blocks in the blockchain are linked to each other, any tampering with the data will destroy the integrity of the entire chain and will be identified and rejected by the system. This ensures the authenticity and credibility of data in the production process of emulsion explosives and provides strong support for the investigation and analysis of production safety accidents.

[0049] Finally, the present invention obtains a first safety index based on target emulsification process information and emulsification process safety indicators; analyzes the emulsification production line information and the emulsification production line safety indicators through the hierarchical analysis method to obtain a second safety index; and generates prevention and control measures based on the first safety index and the second safety index, which can effectively improve the safety and stability of emulsion explosive production and reduce the risk of production accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0051] Figure 1 This is a workflow diagram of an intelligent prevention and control method for emulsion explosive production based on blockchain according to an embodiment of the present invention;

[0052] Figure 2 This is a workflow diagram of another blockchain-based intelligent prevention and control method for emulsion explosive production according to an embodiment of the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] In addition, the described features, structures or characteristics may be combined in one or more example embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the example embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, steps, etc. may be adopted. In other cases, well-known structures, methods, implementations or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0055] This embodiment provides an intelligent prevention and control method for emulsion explosive production based on blockchain. Figure 1 This is a workflow diagram of an intelligent prevention and control method for emulsion explosive production based on blockchain according to an embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0056] Step S101: Acquire the uploaded emulsion explosive production information and emulsion explosive production safety indicators, wherein the production information includes emulsification process information and emulsification production line information, and the emulsion explosive production safety indicators include emulsification process safety indicators and emulsification production line safety indicators.

[0057] It is worth noting that before uploading the emulsion explosive production information to the chain, each blockchain node needs to first sign an electronic contract with the blockchain system, and the emulsion explosive production safety indicators uploaded to the chain are also information that has been pre-confirmed by the blockchain system.

[0058] Step S102: Perform PCA analysis on the emulsification process information and the emulsification process safety index to obtain the correlation between the emulsification process information and the emulsification process safety index, determine the target emulsification process information corresponding to the emulsification process safety index in the emulsification process information based on the correlation, and obtain a first safety index based on the target emulsification process information and the emulsification process safety index.

[0059] Step S103: Analyze the emulsification production line information and the emulsification production line safety index by using the hierarchical analysis method to obtain a second safety index.

[0060] Step S104: Generate prevention and control measures based on the first safety index and the second safety index.

[0061] In summary, the present invention obtains the emulsion explosive production information and emulsion explosive production safety indicators on the chain, wherein the production information includes emulsification process information and emulsification production line information, and the emulsion explosive production safety indicators include emulsification process safety indicators and emulsification production line safety indicators; PCA analysis is performed on the emulsification process information and the emulsification process safety indicators to obtain the correlation between the emulsification process information and the emulsification process safety indicators, and the target emulsification process information corresponding to the emulsification process safety indicators is determined in the emulsification process information according to the correlation, so that the emulsification process safety indicators and the target emulsification process information can be quickly matched in the emulsion explosive production information on the chain in the blockchain, thereby improving the processing efficiency of information used for emulsion explosive production.

[0062] Since the data blocks in the blockchain are linked to each other, any tampering with the data will destroy the integrity of the entire chain and will be identified and rejected by the system. This ensures the authenticity and credibility of data in the emulsion explosive production process and provides strong support for the investigation and analysis of production safety accidents.

[0063] Finally, the present invention obtains a first safety index based on target emulsification process information and emulsification process safety indicators; analyzes the emulsification production line information and the emulsification production line safety indicators through the hierarchical analysis method to obtain a second safety index; and generates prevention and control measures based on the first safety index and the second safety index, which can effectively improve the safety and stability of emulsion explosive production and reduce the risk of production accidents.

[0064] In some embodiments, in step S102, PCA (Principal Component Analysis) analysis is performed on the emulsification process information and the emulsification process safety index, and the correlation between the emulsification process information and the emulsification process safety index includes:

[0065] Obtain emulsification temperature value and oil-water flow ratio value based on emulsification process information;

[0066] Based on the FP-Growth association rule mining algorithm, the indicator fields corresponding to the emulsification temperature value and the oil-water flow ratio value in the emulsification process safety index are determined. The core idea of ​​the FP-Growth algorithm is to adopt a divide-and-conquer strategy to compress the database providing frequent item sets into a frequent pattern tree while retaining the association information between item sets.

[0067] The indicator fields are formed into a matrix X, and the covariance matrix S of the samples of the matrix X is calculated;

[0068] Calculate the eigenvectors e1,e2,…,e of the covariance matrix S n and eigenvalues, t=1,2...n;

[0069] The formula is used to project the data into the space of the projected eigenvector. The formula is as follows:

[0070]

[0071] Among them, the BV value is the emulsification temperature value or the oil-water flow ratio value;

[0072] The characteristics of multivariate data are expressed in low-dimensional space to obtain the correlation between emulsification process information and emulsification process safety indicators.

[0073] Furthermore, the target emulsification process information corresponding to the emulsification process safety index is determined based on the correlation in the emulsification process information, including:

[0074] Obtain all emulsification process safety indicators including emulsification temperature value and oil-water flow ratio value;

[0075] The emulsification process safety index with the greatest correlation between emulsification process information and emulsification process safety index is used as the trunk, and the emulsification process steps corresponding to the emulsification temperature value and the oil-water flow ratio value are used as branches and leaves to generate an emulsification process safety index tree, and then determine the target emulsification process information. It is worth noting that the emulsification process safety index tree is a tree data structure, which is an important type of nonlinear data structure that can represent a one-to-many relationship between data elements. A tree is an abstract data type or a data structure that implements this abstract data type, which is used to simulate a data set with a tree structure. It is a set of finite nodes with a hierarchical relationship. Intuitively, the tree is a hierarchical structure defined by a branching relationship. The root node is at the top level, and there can be multiple child nodes under it. Each child node can have its own child nodes, and so on, forming a layered structure.

[0076] Further, the temperature value in the emulsified explosive dissolving process step, the temperature value in the pumping process step, the temperature value in the emulsification process step, the temperature value in the mixing process step and the oil-water flow ratio value in the target emulsification process information are obtained;

[0077] The first safety index is obtained by using the risk matrix method to combine the emulsification process safety index tree, the temperature value in the emulsified explosive dissolution process step, the temperature value in the pumping process step, the temperature value in the emulsification process step, the temperature value in the mixing process step, and the oil-water flow ratio.

[0078] In some embodiments, the emulsification process safety index tree, the temperature value in the emulsion explosive dissolution process step, the temperature value in the pumping process step, the temperature value in the emulsification process step, the temperature value in the mixing process step, and the oil-water flow ratio are used to obtain a first safety index through a risk matrix method, including the following process:

[0079] Construct a risk matrix, which usually consists of a horizontal axis representing the likelihood of risk occurrence and a vertical axis representing the severity of risk consequences;

[0080] List all potential risks of a project or event;

[0081] Assess the likelihood of each potential risk occurring in turn, which can usually be classified as low, medium, or high, or quantified with numbers from 0 to 10;

[0082] Estimate the impact of each potential risk on the entire project or event, using numbers from 0 to 10 to quantify;

[0083] Find the corresponding intersection point of each risk on the matrix diagram, and add up the quantitative values ​​of the corresponding intersection points to obtain the first safety index.

[0084] In some embodiments, in step S103, Figure 2 This is a workflow diagram of another blockchain-based intelligent prevention and control method for emulsion explosive production according to an embodiment of the present invention. Figure 2 As shown, the emulsification production line information and the emulsification production line safety index are analyzed by the hierarchical analysis method to obtain the second safety index, which includes the following steps:

[0085] Step S201: Establish a hierarchical model, wherein the hierarchical layers include a target layer, a criterion layer and a measure layer.

[0086] Step S202: Construct a judgment matrix: determine the number of relevant influencing factors m at each level, and construct a set of safety index risk factors U for the emulsification production line. in, is the subset of the equipment availability rate of the emulsification production line, It is the preparation rate subset of safety protection equipment for emulsification production line. is the renewal rate subset of the emulsification production line equipment, For the failure rate subsets that appear in the emulsification production line equipment, two subsets in the same level are taken out from the set U for comparison, m is used to represent the importance ratio, and the corresponding importance is assigned according to the preset ratio, and the importance of each layer is combined to form a judgment matrix;

[0087] Step S203: Calculate the maximum eigenvalue γ of the judgment matrix:

[0088]

[0089] Among them, v αβ It is the matrix obtained by normalizing each column vector of the judgment matrix. The values ​​of α and β are 1, 2...m, w α is the matrix v αβThe elements of are added row by row to obtain the vector and then normalized into a matrix, w β is the matrix v αβ Add the elements of column by column to obtain the vector and then normalize the matrix;

[0090] Step S204: consistency check of the judgment matrix:

[0091] When the judgment matrix has only one non-zero eigenvalue, it means that the matrix is ​​completely consistent. If the matrix V has more than one eigenvalue, the consistency index CI can be used:

[0092]

[0093] Among them, k represents the order of the judgment matrix. The smaller the CI value, the better the consistency, and vice versa.

[0094] Step S205: multiplying the CI value by the corresponding weight to obtain a second safety index.

[0095] In some embodiments, generating prevention and control measures based on the first safety index and the second safety index includes:

[0096] The first security index and the second security index are summed to obtain a total security index value, and it is determined whether the total security index value exceeds a preset threshold value. If so, an alarm signal is generated and broadcasted in the blockchain; if not, no alarm signal is generated.

[0097] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0098] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0099] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0100] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only some logical function divisions. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0101] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0102] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0103] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An intelligent prevention and control method for emulsion explosive production based on blockchain, characterized in that: Methods include: Obtain the production information and safety indicators of emulsion explosives on the blockchain. The production information includes emulsification process information and emulsification production line information, and the safety indicators of emulsion explosives include emulsification process safety indicators and emulsification production line safety indicators. PCA analysis is performed on the emulsification process information and the emulsification process safety index to obtain the correlation between the emulsification process information and the emulsification process safety index, and the target emulsification process information corresponding to the emulsification process safety index is determined in the emulsification process information according to the correlation, and the first safety index is obtained based on the target emulsification process information and the emulsification process safety index; wherein, PCA analysis is performed on the emulsification process information and the emulsification process safety index to obtain the correlation between the emulsification process information and the emulsification process safety index, including: Obtain emulsification temperature value and oil-water flow ratio value based on emulsification process information; Based on the FP-Growth association rule mining algorithm, the indicator fields corresponding to the emulsification temperature value and the oil-water flow ratio value in the emulsification process safety index are determined; The indicator fields are formed into a matrix X, and the covariance matrix S of the samples of the matrix X is calculated; Calculate the eigenvectors e1,e2,…,e of the covariance matrix S n and eigenvalues, t=1,2...n; The formula is used to project the data into the space of the projected eigenvector. The formula is as follows: Among them, the BV value is the emulsification temperature value or the oil-water flow ratio value; The characteristics of multivariate data are expressed in low-dimensional space to obtain the correlation between emulsification process information and emulsification process safety indicators; The emulsification production line information and emulsification production line safety indicators are analyzed by hierarchical analysis method to obtain the second safety index; Establish a hierarchical model with a hierarchical structure, where the levels include the goal level, the criterion level and the measure level; Construct a judgment matrix: determine the number of relevant influencing factors m at each level, and construct a set of dangerous factors for safety indicators of the emulsification production line U. in, is the subset of the equipment availability rate of the emulsification production line, It is the preparation rate subset of safety protection equipment for emulsification production line. is the renewal rate subset of the emulsification production line equipment, For the failure rate subsets that appear in the emulsification production line equipment, two subsets in the same level are taken out from the set U for comparison, m is used to represent the importance ratio, and the corresponding importance is assigned according to the preset ratio, and the importance of each layer is combined to form a judgment matrix; Calculate the maximum eigenvalue γ of the judgment matrix: Among them, v αβ It is the matrix obtained by normalizing each column vector of the judgment matrix. The values ​​of α and β are 1, 2...m, w α is the matrix v αβ The elements of are added row by row to obtain the vector and then normalized into a matrix, w β is the matrix v αβ Add the elements of column by column to obtain the vector and then normalize the matrix; Consistency test of judgment matrix: When the judgment matrix has only one non-zero eigenvalue, it means that the matrix is ​​completely consistent. If the matrix V has more than one eigenvalue, the consistency index CI can be used: Among them, k represents the order of the judgment matrix. The smaller the CI value, the better the consistency, and vice versa. Multiply the CI value by the corresponding weight to obtain the second safety index; Generate prevention and control measures based on the first safety index and the second safety index.

2. The intelligent prevention and control method for emulsion explosive production based on blockchain according to claim 1 is characterized in that: The target emulsification process information corresponding to the emulsification process safety index is determined based on the correlation in the emulsification process information, including: Obtain all emulsification process safety indicators including emulsification temperature value and oil-water flow ratio value; An emulsification process safety indicator tree is generated with the emulsification process information and the emulsification process safety indicator with the greatest correlation as the trunk, and the emulsification process steps corresponding to the emulsification temperature value and the oil-water flow ratio value as the branches and leaves, thereby determining the target emulsification process information.

3. The intelligent prevention and control method for emulsion explosive production based on blockchain according to claim 2 is characterized in that: The process of obtaining the first safety index based on the target emulsification process information and the emulsification process safety index includes the following steps: Obtaining the temperature value in the emulsified explosive dissolving process step, the temperature value in the pumping process step, the temperature value in the emulsification process step, the temperature value in the mixing process step, and the oil-water flow ratio value in the target emulsification process information; The first safety index is obtained by using the risk matrix method to combine the emulsification process safety index tree, the temperature value in the emulsified explosive dissolution process step, the temperature value in the pumping process step, the temperature value in the emulsification process step, the temperature value in the mixing process step, and the oil-water flow ratio.

4. The intelligent prevention and control method for emulsion explosive production based on blockchain according to claim 3 is characterized in that: The first safety index is obtained by using the risk matrix method to combine the emulsification process safety index tree, the temperature value in the emulsified explosive dissolution process step, the temperature value in the pumping process step, the temperature value in the emulsification process step, the temperature value in the mixing process step, and the oil-water flow ratio value, including the following process: Construct a risk matrix, which usually consists of a horizontal axis representing the likelihood of risk occurrence and a vertical axis representing the severity of risk consequences; List all potential risks of a project or event; Assess the likelihood of each potential risk occurring in turn, which can usually be classified as low, medium, or high, or quantified with numbers from 0 to 10; Estimate the impact of each potential risk on the entire project or event, using numbers from 0 to 10 to quantify; Find the corresponding intersection point of each risk on the matrix diagram, and add up the quantitative values ​​of the corresponding intersection points to obtain the first safety index.

5. The intelligent prevention and control method for emulsion explosive production based on blockchain according to claim 1 is characterized in that: The prevention and control measures generated based on the first safety index and the second safety index include: The first security index and the second security index are summed to obtain a total security index value, and it is determined whether the total security index value exceeds a preset threshold. If so, an alarm signal is generated and broadcasted in the blockchain.

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