Mine equipment problem prediction and rectification method based on large model

Abstract

The invention discloses an under-mine equipment problem prediction and rectification method based on a large model, and relates to the technical field of under-mine management.The under-mine equipment problem prediction and rectification method comprises the steps that firstly, various states of under-mine equipment are subjected to mass data collection and labeling, and the data are trained according to a training rule to obtain an available evaluation coefficient of equipment health data; in the equipment operation process, the real-time equipment state is obtained through an online sensor, large model analysis data is used for carrying out equipment state evaluation, information such as the possibility that problems are evolved into accidents, rectification time and rectification measures is estimated, corresponding problem data is transmitted into a problem database, and when an estimated value exceeds a threshold value, the equipment state is evaluated. And pushing the problem data to a related principal or a rectification person to supervise and urge the related principal or the rectification person to rectify. By establishing a set of effective measures for timely detecting underground coal and predicting problem evolution, problems can be found in time, accident risks can be predicted, results can be pushed to workers in time, rectification personnel can rectify in time, the safety production efficiency is improved, and the accident occurrence probability is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of underground mine management, and in particular to an underground mine equipment problem prediction and rectification method based on a large model. Background Art

[0002] my country's coal mining industry is still a high-risk industry. The frequent occurrence of coal mine accidents has had a great negative impact on the development of the country and social economy. The cause mechanism of coal mine accidents and the prevention and control theory and technology of accidents have become hot research issues. The existing research results lack sufficient understanding and attention to the investigation and control of coal mine accident hazards. The actual application effect of the hidden danger investigation and control system in many coal mines is not ideal, and it is difficult to effectively prevent and control the occurrence of accidents. With the rapid development of social economy, coal mining enterprises also pay enough attention to the safety detection technology of electromechanical equipment. One of the important contents of coal mine safety management is the monitoring of coal mine electromechanical equipment. With the help of coal mine electromechanical equipment monitoring, the efficiency of coal mining can be greatly improved. With the help of coal mine electromechanical equipment safety monitoring technology and work, it can promote construction personnel to timely improve the existing safety detection measures and effectively improve the quality of coal mine safety detection. As a systematic working equipment, coal mine electromechanical equipment has a more direct impact on coal mine work. This requires staff to have a more systematic understanding of coal mine electromechanical equipment to ensure that relevant safety management measures can be effectively implemented in specific work. In the specific work of coal mine electromechanical equipment safety inspection, the staff should also pay enough attention to the safety inspection of coal mine electromechanical equipment, so that the safety inspection of coal mine electromechanical equipment can well meet the needs of enterprise development and effectively realize the long-term development of coal mine enterprises; At present, the underground space of coal mines is narrow, the equipment is numerous, the process is complex, the environment is harsh, and there are many hidden disaster risks. Staying away from harsh environments and conducting safe management and control of equipment have always been a common demand in the coal industry. For this reason, this application proposes a method for predicting and rectifying underground equipment problems based on a large model to solve the above problems. Summary of the invention

[0003] 1. Technical issues to be resolved

[0004] In view of the deficiencies in the prior art, the present invention provides a method for predicting and rectifying underground equipment problems based on a large model, which solves the technical problems raised in the above background.

[0005] (II) Technical solution

[0006] To achieve the above purpose, the technical solution adopted by the present invention is: a method for predicting and rectifying underground equipment problems based on a large model, comprising the following detection steps:

[0007] Step 1: Obtain various status data of downhole equipment

[0008] In order to ensure that the large model obtains more accurate data, it is necessary to first collect various status data of various devices;

[0009] Step 2: Label

[0010] The collected data is labeled. The labeled content mainly includes the current status of the equipment and the level of possible danger a (a>1), the smaller the level, the lower the danger level;

[0011] Step 3: Training

[0012] Train according to the training rules;

[0013] Step 4: Training Rules

[0014] If the problem is not addressed, equipment problems will generally become more serious over time, and then evolve into accidents, which will become increasingly dangerous to the mine and the workers;

[0015] Step 5: According to the hazard level a (a>1), the equipment usage time s (h), the equipment safe use period T (h), the problem discovery time t (h) and other factors, give the evolution value G t :

[0016]

[0017] G t The larger the value of , the higher the probability that the problem will evolve into an accident, and the higher the danger. The degree of evolution of the accident in the formula changes over time and increases exponentially according to the danger factor;

[0018] Step 6: Assume that the safe use period of the equipment is 1000 hours, it has been used for 700 hours, the hazard level is 2, and the accident evolution value after 2 hours is 2.8, after 3 hours is 5.6, and after 5 hours is 22.4;

[0019] Step 7: Training Results

[0020] According to the training rules, the accident evolution value of the current equipment, the corresponding recommended rectification measures, the recommended rectification time and other information are finally obtained;

[0021] Step 8: Get the current device status, analyze the training results, and determine the accident evolution value of the current device image data. Transfer the data to the web or mobile terminal for display;

[0022] Step 9: Determine the threshold of equipment accident evolution, send the dangerous data exceeding the threshold to the corresponding supervision department, and remind the corresponding department to take treatment measures based on the rectification measures in the analysis results, the rectification time and other information;

[0023] Step 10: For issues that require immediate rectification, remind the corresponding departments to make the rectification immediately.

[0024] Preferably, the various status data in step 1 include normal status, dangerous status, etc.

[0025] Preferably, the marking content in step 2 needs to mark out the recommended corrective measures corresponding to the problems of the equipment, the recommended correction time and other information.

[0026] Preferably, the rectification time and other information include immediate rectification or rectification within a limited time.

[0027] Preferably, the deterioration of the problem over time in step 4 is set to exponential growth, and the factors that mainly affect the evolution of the problem into an accident are used as the basis for judgment.

[0028] Preferably, when immediate rectification is not required in step 10, a limited rectification deadline is issued and the safety issue is sent to the corresponding supervisory department. If the safety issue is not completed within the rectification deadline, the information that the rectification of the safety issue is not completed on time is sent to the superior department, so that the superior department can remind and punish the rectification department.

[0029] Preferably, in step 10, when the rectification of the safety hazard is completed, the rectification process data of the equipment safety hazard is stored.

[0030] (III) Beneficial effects

[0031] The beneficial effects of the present invention are:

[0032] This method of predicting and rectifying underground equipment problems based on a large model establishes a set of effective measures for timely detecting equipment status in coal mines and predicting the evolution of problems. Its main purpose is to discover problems in a timely manner, predict accident risks, and quickly and promptly push inspection results to staff so that rectification personnel can rectify them in a timely manner, completing the closed loop from discovering problems to solving problems in underground equipment, improving production safety efficiency, and reducing the probability of accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is the overall flow chart of the present invention;

[0034] Figure 2 This is a diagram of the equipment safety management and control system of the present invention. DETAILED DESCRIPTION

[0035] 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.

[0036] like Figure 1-2 As shown, the present invention provides a technical solution: a method for predicting and rectifying underground equipment problems based on a large model, comprising the following detection steps:

[0037] Step 1: Obtain various status data of downhole equipment, including normal status, dangerous status, etc.

[0038] In order to ensure that the large model obtains more accurate data, it is necessary to first collect various status data of various devices;

[0039] Step 2: Label

[0040] The collected data is annotated. The annotated content mainly includes the current status of the equipment and the possible danger level a (a>1). The smaller the level, the smaller the danger level. The annotated content needs to include the recommended corrective measures corresponding to the problems of the equipment, the recommended correction time and other information. The correction time and other information include immediate correction or time-limited correction;

[0041] Step 3: Training

[0042] Train according to the training rules;

[0043] Step 4: Training rules

[0044] If the problem is not dealt with, the problem will generally become more and more serious over time, and then evolve into an accident, which will increase the danger to the mine and workers. The deterioration of the problem over time is set to exponential growth, and the factors that mainly affect the evolution of the problem into an accident are used as the basis for judgment;

[0045] Step 5: According to the hazard level a (a>1), the equipment usage time s (h), the equipment safe use period T (h), the problem discovery time t (h) and other factors, give the evolution value G t :

[0046]

[0047] G t The larger the value of , the higher the probability that the problem will evolve into an accident, and the higher the danger. The degree of evolution of the accident in the formula changes over time and increases exponentially according to the danger factor;

[0048] Step 6: Assume that the safe use period of the equipment is 1000 hours, it has been used for 700 hours, the hazard level is 2, and the accident evolution value after 2 hours is 2.8, after 3 hours is 5.6, and after 5 hours is 22.4;

[0049] Step 7: Training Results

[0050] According to the training rules, the accident evolution value of the current equipment, the corresponding recommended rectification measures, the recommended rectification time and other information are finally obtained;

[0051] Step 8: Get the current device status, analyze the training results, and determine the accident evolution value of the current device image data. Transfer the data to the web or mobile terminal for display;

[0052] Step 9: Determine the threshold of equipment accident evolution, send the dangerous data exceeding the threshold to the corresponding supervision department, and remind the corresponding department to take treatment measures based on the rectification measures in the analysis results, the rectification time and other information;

[0053] Step 10: For issues that require immediate rectification, remind the corresponding department to rectify them immediately. If no immediate rectification is required, send the safety issue to the corresponding supervisory department with a limited rectification period. If the safety issue is not completed within the rectification period, send the information that the rectification of the safety issue was not completed on time to the superior department, so that the superior department can remind and punish the rectification department. When the rectification of the safety hazard is completed, store the rectification process data of the equipment safety hazard.

[0054] In the description of the present invention, it is necessary to understand that the indicated orientation or positional relationship is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0055] In the present invention, unless otherwise clearly stipulated and limited, for example, it can be a fixed connection, a detachable connection, or an integrated one; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. Unless otherwise clearly defined, for ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0056] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for predicting and rectifying underground equipment problems based on a large model, characterized in that: The following detection steps are included: Step 1: Obtain various status data of downhole equipment In order to ensure that the large model obtains more accurate data, it is necessary to first collect various status data of various devices; Step 2: Label The collected data is labeled, and the labeled content mainly includes the current status of the equipment and the level of possible danger a (a>1). The smaller the level, the lower the danger level. Step 3: Training Train according to the training rules; Step 4: Training Rules If the problem is not addressed, equipment problems will generally become more serious over time, and then evolve into accidents, which will become increasingly dangerous to the mine and personnel; Step 5: According to the hazard level a (a>1), the equipment usage time s (h), the equipment safe use period T (h), the problem discovery time t (h) and other factors, give the evolution value G t : G t The larger the value of , the higher the probability that the problem will evolve into an accident, and the higher the danger. The degree of evolution of the accident in the formula changes over time and increases exponentially according to the danger factor; Step 6: Assume that the safe use period of the equipment is 1000 hours, it has been used for 700 hours, the hazard level is 2, and the accident evolution value after 2 hours is 2.8, after 3 hours is 5.6, and after 5 hours is 22.4; Step 7: Training Results According to the training rules, the accident evolution value of the current equipment, the corresponding recommended rectification measures, the recommended rectification time and other information are finally obtained; Step 8: Get the current device status, analyze the training results, and determine the accident evolution value of the current device image data. Transfer the data to the web or mobile terminal for display; Step 9: Determine the threshold of equipment accident evolution, send the dangerous data exceeding the threshold to the corresponding supervision department, and remind the corresponding department to take treatment measures based on the rectification measures in the analysis results, the rectification time and other information; Step 10: For issues that require immediate rectification, remind the corresponding departments to make the rectification immediately.

2. The method for predicting and rectifying underground equipment problems based on a large model according to claim 1, characterized in that: The various status data in step 1 include normal status, dangerous status, etc.

3. The method for predicting and rectifying underground equipment problems based on a large model according to claim 1, characterized in that: The marking content in step 2 needs to mark the recommended corrective measures corresponding to the problems of the equipment, the recommended correction time and other information.

4. The method for predicting and rectifying underground equipment problems based on a large model according to claim 2 is characterized in that: The rectification time and other information include immediate rectification or rectification within a limited time.

5. The method for predicting and rectifying underground equipment problems based on a large model according to claim 1 is characterized in that: The deterioration of the problem over time in step 4 is set to exponential growth, and the factors that mainly affect the evolution of the problem into an accident are used as the basis for judgment.

6. The method for predicting and rectifying underground equipment problems based on a large model according to claim 1, characterized in that: When immediate rectification is not required in step 10, a limited rectification period is issued and the safety issue is sent to the corresponding supervisory department. If the safety issue is not completed within the rectification period, the information that the rectification of the safety issue is not completed on time is sent to the superior department, so that the superior department can remind and punish the rectification department.

7. The method for predicting and rectifying underground equipment problems based on a large model according to claim 1, characterized in that: In step 10, when the rectification of the safety hazard is completed, the rectification process data of the equipment safety hazard is stored.

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