Mine carbon dioxide emission risk assessment method and device, medium and product

Abstract

The invention discloses a mine carbon dioxide emission risk assessment method and device, a medium and a product, and relates to the technical field of mine risk assessment. The method comprises the following steps: acquiring carbon dioxide emission risk assessment historical data of a target mine; the carbon dioxide emission risk assessment historical data comprises historical data of associated parameters related to the carbon dioxide emission and a corresponding carbon dioxide emission risk historical result; constructing a carbon dioxide emission risk assessment model according to carbon dioxide emission risk assessment historical data; acquiring current data of related parameters related to the carbon dioxide emission; and inputting the current data of the associated parameters into the carbon dioxide emission risk assessment model to obtain a carbon dioxide emission risk assessment result of the mine. According to the method, the carbon dioxide emission risk can be evaluated more intuitively and quickly.

Description

Technical Field

[0001] The present invention relates to the technical field of mine risk assessment, and in particular to a mine carbon dioxide emission risk assessment method, device, medium and product. Background Art

[0002] The process of mining resources exploitation faces many challenges brought by factors such as high temperature, high ground stress, and high well depth. The risks of carbon dioxide emissions from mining activities are variable and difficult to quantify and evaluate, and there is a lack of a simple and intuitive method to predict the risk factors of carbon dioxide emissions.

[0003] The mining environment of mines is complex and changeable, and there are many factors that affect the changes in carbon dioxide gas emissions. Therefore, the prediction of carbon dioxide gas emissions in mines requires comprehensive consideration of various related factors.

[0004] The changes in carbon dioxide gas emissions from mines are characterized by randomness, fuzziness, and high nonlinearity. The existing prediction methods for carbon dioxide gas emissions from mines cannot provide risk assessment results in real time and quickly. Summary of the invention

[0005] The purpose of the present invention is to provide a method, device, medium and product for assessing the risk of carbon dioxide emissions in a mine, which can more intuitively and quickly assess the risk of carbon dioxide emissions.

[0006] To achieve the above object, the present invention provides the following solutions:

[0007] A method for risk assessment of carbon dioxide emissions in a mine, the method comprising:

[0008] Acquire historical data of carbon dioxide emission risk assessment of the target mine; the historical data of carbon dioxide emission risk assessment includes historical data of associated parameters related to carbon dioxide emissions and corresponding historical results of carbon dioxide emission risks;

[0009] Constructing a carbon dioxide emissions risk assessment model based on the carbon dioxide emissions risk assessment historical data;

[0010] Acquiring current data of associated parameters related to the carbon dioxide emissions;

[0011] The current data of the associated parameters are input into a carbon dioxide emission risk assessment model to obtain a carbon dioxide emission risk assessment result of the mine.

[0012] Optionally, the carbon dioxide emissions risk assessment model is:

[0013]

[0014] Where P is the risk assessment result of CO2 emissions of the mine; r0 is the calibration constant; r i is the coefficient constant of the i-th associated parameter related to carbon dioxide emissions to be calibrated; R i is the current data of the i-th associated parameter related to carbon dioxide emissions to be calibrated.

[0015] Optionally, a carbon dioxide emission risk assessment model is constructed according to the carbon dioxide emission risk assessment historical data, specifically including:

[0016] Constructing an initial carbon dioxide emission risk assessment model based on the relationship between historical data of associated parameters related to carbon dioxide emissions and corresponding historical results of carbon dioxide emission risks;

[0017] The initial carbon dioxide emission risk assessment model is calibrated according to the data of associated parameters related to carbon dioxide emissions before and after the carbon dioxide emission risk accident occurs in the target mine to obtain a calibrated carbon dioxide emission risk assessment model, and the calibrated carbon dioxide emission risk assessment model is used as the carbon dioxide emission risk assessment model.

[0018] Optionally, the initial carbon dioxide emission risk assessment model is calibrated according to data of associated parameters related to carbon dioxide emissions of the target mine before and after the carbon dioxide emission risk accident occurs, specifically including:

[0019] Take the carbon dioxide emission risk accidents occurring in the target mine as samples, take the day on which each sample occurs as the base date, and select at least one date with the same number of days between the base date and the base date as the comparison date;

[0020] The multiple consecutive time periods before the base date of each sample are used as the test time period;

[0021] Obtaining specific data of the associated parameters related to carbon dioxide emissions of each sample during the test period of the base day as accident group sample data;

[0022] Obtaining specific data of the associated parameters related to carbon dioxide emissions for each sample during all comparison day test periods as control group sample data;

[0023] Determining the quantity to be calibrated in the initial carbon dioxide emission risk assessment model according to the accident group sample data and the control group sample data;

[0024] A carbon dioxide emission risk assessment model is determined according to the amount to be calibrated.

[0025] Optionally, a likelihood ratio test method of maximum partial likelihood estimation is used to determine the quantity to be calibrated in the initial carbon dioxide emission risk assessment model.

[0026] Optionally, before executing the step of “building a carbon dioxide emission risk assessment model according to the carbon dioxide emission risk assessment historical data”, the method further includes:

[0027] The carbon dioxide emission risk assessment historical data is preprocessed; the preprocessing is to determine the main factor variables from the associated parameters related to carbon dioxide emissions according to the historical results of the carbon dioxide emission risk, and use the main factor variables as the preprocessed associated parameters related to carbon dioxide emissions.

[0028] Optionally, preprocessing the carbon dioxide emission risk assessment historical data specifically includes:

[0029] Performing dimensionless processing on the carbon dioxide emission risk assessment historical data to obtain processed historical data;

[0030] Based on the processed historical data, the Pearson correlation coefficient method is applied to determine the main factor variables.

[0031] A computer device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any of the above-mentioned methods for risk assessment of carbon dioxide emissions in mines.

[0032] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements any of the above-mentioned methods for risk assessment of carbon dioxide emissions in mines.

[0033] A computer program product comprises a computer program, which, when executed by a processor, implements any of the above-mentioned methods for risk assessment of carbon dioxide emissions in mines.

[0034] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0035] The present invention discloses a method, device, medium and product for risk assessment of carbon dioxide emissions in mines. The method obtains historical data of risk assessment of carbon dioxide emissions in target mines, constructs a risk assessment model for carbon dioxide emissions, and applies the risk assessment model for carbon dioxide emissions to obtain risk assessment results of carbon dioxide emissions in mines. The present invention can consider the influence of various factors affecting the change of carbon dioxide gas emissions on the risk of carbon dioxide emissions, and can quickly obtain risk assessment results of carbon dioxide emissions by constructing the risk assessment model for carbon dioxide emissions. Moreover, the risk assessment results of carbon dioxide emissions are probabilities, which can more intuitively describe the degree of risk of carbon dioxide emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention 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 of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 A schematic diagram of a process flow of a mine carbon dioxide emission risk assessment method provided in Example 1 of the present invention;

[0038] Figure 2 This is a diagram of the internal structure of a computer device. DETAILED DESCRIPTION

[0039] 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.

[0040] The purpose of the present invention is to provide a method, device, medium and product for assessing the risk of carbon dioxide emissions in a mine, aiming to more intuitively and quickly assess the risk of carbon dioxide emissions.

[0041] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0042] Example 1

[0043] like Figure 1 As shown, the mine carbon dioxide emission risk assessment method in this embodiment includes:

[0044] Step S1: Acquire historical data of carbon dioxide emission risk assessment of a target mine; the historical data of carbon dioxide emission risk assessment includes historical data of associated parameters related to carbon dioxide emissions and corresponding historical results of carbon dioxide emission risks.

[0045] Step S2: constructing a carbon dioxide emission risk assessment model based on the carbon dioxide emission risk assessment historical data.

[0046] The carbon dioxide emissions risk assessment model is:

[0047]

[0048] Where P is the risk assessment result of CO2 emissions of the mine; r0 is the calibration constant; r i is the coefficient constant of the i-th associated parameter related to carbon dioxide emissions to be calibrated; R i is the current data of the i-th associated parameter related to carbon dioxide emissions to be calibrated.

[0049] Step S2 specifically includes:

[0050] Step S21: constructing an initial carbon dioxide emission risk assessment model according to the relationship between historical data of associated parameters related to carbon dioxide emissions and corresponding historical results of carbon dioxide emission risks.

[0051] In practical applications, the target mine is divided into grids, and the associated parameters related to carbon dioxide emissions are monitored for each grid. Specifically, the associated parameters related to carbon dioxide emissions include temperature, wind speed, mining volume, stockpiling volume, transportation volume, atmospheric pressure and other data. Because the associated parameters related to carbon dioxide emissions change in different grids, the carbon dioxide emissions risk assessment model established based on the relationship between the associated parameters related to carbon dioxide emissions and the historical results of carbon dioxide emissions risks will also change with the changes in the specific data of the associated parameters related to carbon dioxide emissions, thereby solving the preliminary different carbon dioxide emissions risk assessment results and realizing real-time safety assessment of the target mine.

[0052] Step S22: Calibrate the initial carbon dioxide emission risk assessment model according to the data of the associated parameters related to carbon dioxide emissions before and after the carbon dioxide emission risk accident of the target mine to obtain a calibrated carbon dioxide emission risk assessment model, and use the calibrated carbon dioxide emission risk assessment model as the carbon dioxide emission risk assessment model.

[0053] In practical applications, by comparing the specific data of the associated parameters related to carbon dioxide emissions of the target mine during a period of time close to the occurrence of carbon dioxide emission risk and under normal circumstances when no carbon dioxide emission risk occurs, the degree of correlation between each associated parameter related to carbon dioxide emissions and the carbon dioxide emission risk assessment result can be obtained, thereby determining the value of the quantity to be calibrated in the initial carbon dioxide emission risk assessment model, which is consistent with the actual carbon dioxide emission risk status of the target mine, and ensuring the accuracy of the probability of occurrence of carbon dioxide emission risk of the template mine calculated by the calibrated carbon dioxide emission risk assessment model.

[0054] Step S22 specifically includes:

[0055] Step S221: taking the carbon dioxide emission risk accidents occurring in the target mine as samples, taking the day on which each sample occurs as a base date, and selecting at least one date with the same number of days between the base date and the base date as a comparison date.

[0056] Step S222: taking a plurality of consecutive time periods before the occurrence of the base date of each sample as the test time period.

[0057] Step S223: Acquire specific data of the associated parameters related to carbon dioxide emissions for each sample during the benchmark day test period as accident group sample data.

[0058] Step S224: Obtain specific data of the associated parameters related to carbon dioxide emissions for each sample in all comparison day test time periods as control group sample data.

[0059] In practical applications, the ratio of the accident group sample data to the control group sample data can be 1:10.

[0060] Step S225: Determine the quantity to be calibrated in the initial carbon dioxide emission risk assessment model according to the accident group sample data and the control group sample data.

[0061] Specifically, a likelihood ratio test method of maximum partial likelihood estimation is used to determine the quantity to be calibrated in the initial carbon dioxide emission risk assessment model.

[0062] Step S226: Determine a carbon dioxide emission risk assessment model according to the amount to be calibrated.

[0063] Step S3: Acquire current data of associated parameters related to the carbon dioxide emissions.

[0064] In practical applications, the frequency of obtaining the current data of the associated parameters related to the carbon dioxide emissions can be set according to the actual situation. For example, if the frequency of risk occurrence in the historical results of the carbon dioxide emissions risk assessment of the target mine is low, the frequency of obtaining the current data can be reduced. If the frequency of risk occurrence in the historical results of the carbon dioxide emissions risk assessment of the target mine is high, the frequency of obtaining the current data can be increased.

[0065] Step S4: inputting the current data of the associated parameters into the carbon dioxide emission risk assessment model to obtain the carbon dioxide emission risk assessment result of the mine.

[0066] In practical applications, each grid constructs a corresponding correlation parameter matrix with correlation parameter data related to carbon dioxide emissions as elements, including a temperature matrix, a wind speed matrix, a mining volume matrix, a stacking volume matrix, a transportation volume matrix, and an atmospheric pressure matrix, and the eigenvalues, average values, and mean square errors corresponding to the correlation parameter matrices are set as representation methods of correlation parameters related to carbon dioxide emissions, which are used for the operation of the method provided by the present invention.

[0067] Taking the temperature matrix as an example, it can be expressed as:

[0068]

[0069] Among them, T 气温 is the temperature matrix; T tmn For the tth m The temperature value of the nth grid in the time period.

[0070] In addition, before executing step S2, the method further includes:

[0071] The carbon dioxide emission risk assessment historical data is preprocessed; the preprocessing is to determine the main factor variables from the associated parameters related to carbon dioxide emissions according to the historical results of the carbon dioxide emission risk, and use the main factor variables as the preprocessed associated parameters related to carbon dioxide emissions.

[0072] Specifically include:

[0073] The first step: performing dimensionless processing on the carbon dioxide emission risk assessment historical data to obtain processed historical data.

[0074] In practical applications, due to the different dimensions of the associated parameters related to carbon dioxide emissions, if used directly, it will affect the results of the final data analysis. In order to avoid the impact of data dimensions, it is necessary to perform dimensionless processing on the data features. The processed data features are at the same level and are suitable for comprehensive comparative evaluation. Dimensionless methods include maximum and minimum standardization, Z-score standardization, etc.

[0075] Step 2: Based on the processed historical data, apply the Pearson correlation coefficient method to determine the main factor variables.

[0076] In practical applications, it is necessary to analyze the processed historical data, perform feature selection, and find out the correlation parameters with high and low correlation with the historical results of CO2 emission risk, firstly to reduce the data dimension, but also to make the model easier to understand.

[0077] As a specific implementation method, the Pearson correlation coefficient method can be used to calculate the strength of the correlation between the associated parameters related to carbon dioxide emissions and the historical results of carbon dioxide emissions risks, so as to select the main factor variables.

[0078] When selecting the main factor variables, the selection can be made by means of a preset threshold value, or the number of optimal correlation parameters can be determined by calculating the chi-square statistic between each correlation parameter related to carbon dioxide emissions and the historical results of carbon dioxide emissions risk, and the main factor variables can be selected based on the determined number.

[0079] Example 2

[0080] A computer device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the mine carbon dioxide emission risk assessment method in Example 1.

[0081] Example 3

[0082] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the mine carbon dioxide emission risk assessment method in Example 1.

[0083] Example 4

[0084] A computer program product includes a computer program, which implements the mine carbon dioxide emission risk assessment method in Example 1 when executed by a processor.

[0085] Example 5

[0086] A computer device, which may be a database, may have an internal structure as shown in Figure 2As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store pending transactions. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the mine carbon dioxide emission risk assessment method in Example 1 is implemented.

[0087] It should be noted that the object information (including but not limited to object device information, object personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the present invention are all information and data authorized by the object or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with relevant laws, regulations and standards of relevant countries and regions.

[0088] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided by the present invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided by the present invention may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited thereto. The processor involved in each embodiment provided by the present invention may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited thereto.

[0089] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0090] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for risk assessment of carbon dioxide emissions in mines, characterized in that: The method comprises: Acquire historical data of carbon dioxide emission risk assessment of the target mine; the historical data of carbon dioxide emission risk assessment includes historical data of associated parameters related to carbon dioxide emissions and corresponding historical results of carbon dioxide emission risks; Constructing a carbon dioxide emissions risk assessment model based on the carbon dioxide emissions risk assessment historical data; Acquiring current data of associated parameters related to the carbon dioxide emissions; The current data of the associated parameters are input into a carbon dioxide emission risk assessment model to obtain a carbon dioxide emission risk assessment result of the mine.

2. The mine carbon dioxide emission risk assessment method according to claim 1, characterized in that: The carbon dioxide emissions risk assessment model is: Where P is the risk assessment result of CO2 emissions of the mine; r0 is the calibration constant; r i is the coefficient constant of the i-th associated parameter related to carbon dioxide emissions to be calibrated; R i is the current data of the i-th associated parameter related to carbon dioxide emissions to be calibrated.

3. The mine carbon dioxide emission risk assessment method according to claim 1, characterized in that: According to the historical data of carbon dioxide emission risk assessment, a carbon dioxide emission risk assessment model is constructed, which specifically includes: Constructing an initial carbon dioxide emission risk assessment model based on the relationship between historical data of associated parameters related to carbon dioxide emissions and corresponding historical results of carbon dioxide emission risks; The initial carbon dioxide emission risk assessment model is calibrated according to the data of associated parameters related to carbon dioxide emissions before and after the carbon dioxide emission risk accident occurs in the target mine to obtain a calibrated carbon dioxide emission risk assessment model, and the calibrated carbon dioxide emission risk assessment model is used as the carbon dioxide emission risk assessment model.

4. The mine carbon dioxide emission risk assessment method according to claim 3 is characterized in that: The initial carbon dioxide emission risk assessment model is calibrated according to the data of the associated parameters related to carbon dioxide emissions before and after the carbon dioxide emission risk accident of the target mine occurs, specifically including: Take the carbon dioxide emission risk accidents occurring in the target mine as samples, take the day on which each sample occurs as the base date, and select at least one date with the same number of days between the base date and the base date as the comparison date; The multiple consecutive time periods before the base date of each sample are used as the test time period; Obtaining specific data of the associated parameters related to carbon dioxide emissions of each sample during the test period of the base day as accident group sample data; Obtaining specific data of the associated parameters related to carbon dioxide emissions for each sample during all comparison day test periods as control group sample data; Determining the quantity to be calibrated in the initial carbon dioxide emission risk assessment model according to the accident group sample data and the control group sample data; A carbon dioxide emission risk assessment model is determined according to the amount to be calibrated.

5. The mine carbon dioxide emission risk assessment method according to claim 4, characterized in that: The likelihood ratio test method of maximum partial likelihood estimation is used to determine the quantity to be calibrated in the initial carbon dioxide emission risk assessment model.

6. The mine carbon dioxide emission risk assessment method according to claim 1, characterized in that: Before executing the step of "building a carbon dioxide emissions risk assessment model based on the carbon dioxide emissions risk assessment historical data", the method further includes: The carbon dioxide emission risk assessment historical data is preprocessed; the preprocessing is to determine the main factor variables from the associated parameters related to carbon dioxide emissions according to the historical results of the carbon dioxide emission risk, and use the main factor variables as the preprocessed associated parameters related to carbon dioxide emissions.

7. The mine carbon dioxide emission risk assessment method according to claim 6, characterized in that: Preprocessing the historical data of the carbon dioxide emission risk assessment includes: Performing dimensionless processing on the carbon dioxide emission risk assessment historical data to obtain processed historical data; Based on the processed historical data, the Pearson correlation coefficient method is applied to determine the main factor variables.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the mine carbon dioxide emission risk assessment method as described in any one of claims 1-7.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for risk assessment of carbon dioxide emissions in a mine as described in any one of claims 1 to 7 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for risk assessment of carbon dioxide emissions in a mine as described in any one of claims 1 to 7 is implemented.

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