A digital maintenance method for the entire life cycle of dry quenching coke oven lining

Abstract

This invention discloses a digital maintenance method for the entire lifecycle of dry quenching coke oven linings, comprising the following steps: establishing a BIM model and an actual model, and establishing a lining maintenance data management platform; scanning the used lining and establishing a model, and inputting the most recent lining damage model and data; retrieving and analyzing the latest model and data, calculating the lining state coefficient E, and using E to characterize the actual state of the dry quenching coke oven lining; if the E score does not meet the standard, analyzing the lining damage and data, providing a targeted repair plan, and after repair, scanning the lining again in three dimensions and feeding back the data to form an evaluation feedback mechanism; establishing a post-repair model, and updating the latest maintenance model and data. The beneficial effects of this invention are: by using BIM technology, three-dimensional scanning technology, a data management platform, and introducing a state coefficient, a scientific digital maintenance method for the entire lifecycle of dry quenching coke oven linings is constructed, achieving systematic, targeted, and continuous digital high-efficiency maintenance of dry quenching coke oven linings.

Description

Technical Field

[0001] This invention belongs to the field of dry quenching coke oven lining maintenance technology, specifically relating to a digital maintenance method for the entire life cycle of dry quenching coke oven lining. Background Technology

[0002] Dry quenching technology is the most advanced green quenching technology both domestically and internationally. Its principle involves using inert gas to quench hot coke within a sealed dry quenching oven. The dry quenching oven is the core equipment of this technology; its lining is constructed of refractory materials and it has a vertical kiln structure, divided from top to bottom into a pre-storage section, an inclined air duct, and a cooling section. During its service life, the lining of a dry quenching oven is subjected to rapid temperature changes of over 1000 degrees Celsius, scouring by strong particulate airflow, coke friction, and chemical erosion, resulting in frequent damage. Most dry quenching ovens require minor repairs every 1 year, medium repairs every 3 years, and major repairs every 5 years. However, shutting down a dry quenching oven for maintenance means a double loss in both metallurgical economics and environmental benefits.

[0003] There are approximately 50 to 300 types of refractory bricks in various parts of the dry quenching coke oven lining, and the types of damage can be categorized into dozens, resulting in a complex lining damage condition. However, current technology relies entirely on the experience of practitioners to determine the lining damage condition, which is greatly influenced by human factors. There is a lack of systematic and scientific evaluation of the lining damage condition. Furthermore, a single maintenance operation cannot provide accurate and useful feedback for subsequent maintenance, and the maintenance throughout the lining's life cycle lacks continuity and overall management. The available precise data for maintenance operations is relatively limited, and the lining maintenance techniques lack specificity. All of these factors directly affect the service life of the dry quenching coke oven lining and the development of dry quenching technology. Summary of the Invention

[0004] The purpose of this invention is to provide a digital maintenance method for the entire life cycle of dry quenching coke oven linings, which solves the problem of short service life of dry quenching coke oven linings caused by existing lining maintenance technologies.

[0005] The objective of this invention is achieved through the following technical solution:

[0006] A digital maintenance method for the entire life cycle of a dry quenching coke oven lining includes the following steps:

[0007] Step A1: Establish a BIM model based on the dry quenching coke oven lining drawings and inspect the lining design;

[0008] Step A2: During the furnace lining construction process, a 3D scan is performed to establish an actual model, and the BIM model is used to guide on-site construction.

[0009] Step A3: Compare and check the construction defects using the model. After rectification and acceptance, the model can be put into use.

[0010] Step A4: After a certain number of years of use, insert a 3D scanning instrument into the furnace opening to scan the furnace lining and create a model.

[0011] Step A5: Calculate the state coefficient E of the dry quenching coke oven lining. Use this coefficient to characterize the actual state of the dry quenching coke oven lining and establish a scoring mechanism for the state coefficient of the dry quenching coke oven lining. The lower the score, the more serious the damage to the lining. The state coefficient enables a scientific and reasonable evaluation of the damage to the dry quenching coke oven lining.

[0012] If the condition of the dry quenching coke oven lining meets the standard in step A6, proceed directly to step A8. If the condition does not meet the standard, analyze the damage to the lining and the data, and provide a targeted repair plan.

[0013] Step A7: After repair, perform a 3D scan of the furnace lining again to create a post-repair model;

[0014] Step A8: The dry quenching coke oven continues to be put into production and used for a certain number of years, then returns to step A4.

[0015] Furthermore, it also includes the following steps:

[0016] Step B1: Establish a dry quenching coke oven lining maintenance data management platform based on steps A1 and A2;

[0017] Step B2: Import data according to step A4, and enter the most recent furnace lining damage model and data into the management platform;

[0018] Step B3: Retrieve and analyze the model and data from the management platform after the most recent maintenance to provide a basis for calculation in step A5;

[0019] Step B4 involves conducting comprehensive analysis of multiple damage data, providing optimization suggestions, and then transferring the data to step A6. Based on step A6, the data is then fed back to the management platform, forming an evaluation feedback mechanism.

[0020] Step B5: Import data according to step A7, and update the management platform with the latest maintenance model and data for the furnace lining.

[0021] Furthermore, in step A1, during the initial stage of dry quenching coke oven construction, BIM modeling software is used to establish a BIM three-dimensional model of the furnace lining based on the dry quenching coke oven lining design drawings. The furnace lining is then preliminarily inspected according to the requirements for the arrangement and construction of the furnace lining refractory materials. The design is optimized and modified to address actual problems such as unreasonable refractory brick configuration, refractory brick spatial collision, and difficulties in construction operations.

[0022] In step A2, since the dry quenching coke oven lining is a vertical kiln structure and the masonry method is layered masonry from bottom to top, a spatial three-dimensional scanning instrument is inserted from the furnace opening during the construction of the dry quenching coke oven. The spatial three-dimensional scanning technology is used to scan and collect real-time information of the furnace lining masonry during the process of furnace lining masonry, and compare it with the established BIM three-dimensional model to check the furnace lining masonry results in real time, so as to guide the on-site construction according to the BIM three-dimensional model.

[0023] In step A3, the actual 3D scanning model is compared with the BIM model of the design drawings to assist in the project acceptance. After the acceptance is qualified, the dry quenching coke oven is officially put into actual use.

[0024] In step A4, after a certain number of years of operation, the lining of the dry quenching coke oven is damaged. A 3D scanner is inserted through the oven opening to scan the lining and create a lining model.

[0025] Furthermore, in step A5, the scoring mechanism for the dry quenching coke oven lining state coefficient E is as follows:

[0026] The damage status of various parts of the dry quenching coke oven lining and production operation factors are taken as sub-items, and further subdivided into sub-items. Then, based on the actual situation of each sub-item, the sub-item score is obtained by multiplying the sub-item score by the sub-item coefficient. After summing all the sub-items, the dry quenching coke oven lining state coefficient E is obtained. The calculation formula is shown in the formula:

[0027] E = E1 + E2 + E3 + E4 + E5;

[0028] Among them, E1 is the pre-storage section, with a score of 10 points; E2 is the annular air duct section, with a score of 15 points; E3 is the inclined flue section, with a score of 50 points; E4 is the cooling section section, with a score of 10 points; and E5 is the main production parameter section, with a score of 15 points.

[0029] If the state coefficient E value is greater than or equal to 80 points, it indicates that the lining of the dry quenching coke oven is in good condition and meets the standard for continued use. It can continue to operate and should be inspected regularly in accordance with the dry quenching coke oven operation procedures.

[0030] If the state coefficient E value is less than 80 points, it indicates that the condition of the dry quenching coke oven lining has reached the maintenance requirements but has not reached the standard for continued use. It is necessary to formulate corresponding maintenance plans according to different parts and different damage conditions.

[0031] Furthermore, in step A6, if the dry quenching coke oven lining fails to meet the standard for continued use after evaluation, it will be repaired. The damage to the lining and the data will be analyzed to formulate a corresponding maintenance plan.

[0032] In step A7, after the furnace lining repair work is completed, a 3D scanning instrument is inserted through the furnace opening to scan the furnace lining again, establish a post-repair model, and collect relevant data.

[0033] Furthermore, in step B1, during the project construction phase, a dry quenching coke oven lining maintenance data management platform is established to collect data from the established lining BIM 3D model, the actual construction 3D scanning model, design documents, and design parameters, providing accurate reference for subsequent maintenance.

[0034] In step B2, based on the furnace lining model established in A4, the most recent furnace lining damage model and related data are imported into the dry quenching coke oven furnace lining maintenance data management platform as the original basis for damage assessment and maintenance construction.

[0035] In step B3, the dry quenching coke oven lining maintenance data management platform is used to retrieve the dry quenching coke oven lining model and parameters after the last maintenance. If it is the first maintenance, the lining model after construction is retrieved, and the current lining damage model and parameters are compared to evaluate the dry quenching coke oven lining damage and determine whether the dry quenching coke oven lining needs maintenance.

[0036] In step B4, the current lining damage and data are analyzed through the dry quenching coke oven lining maintenance data management platform. Combined with previous damage and repair data, suggestions are provided for the current maintenance. After the corresponding maintenance plan is formulated, the current damage and maintenance plan are imported into the dry quenching coke oven lining maintenance data management platform. Feedback and evaluation of the maintenance plan are carried out after the next damage, forming an evaluation and feedback mechanism to optimize and improve subsequent maintenance plans.

[0037] Based on the dry quenching coke oven lining maintenance data management platform, the big data generated from the application and feedback of multiple maintenance plans throughout the lining's life cycle can effectively and continuously improve the reliability and relevance of maintenance plans. It also provides practical and accurate big data for the maintenance and longevity development of dry quenching coke oven linings in the coking industry.

[0038] In step B5, the repaired model and collected relevant data are imported into the dry quenching coke oven lining maintenance data management platform to provide practical reference for the next overhaul and maintenance.

[0039] The present invention achieves the following functions: It proposes a digital maintenance method for the entire life cycle of dry quenching coke oven linings. By establishing a digital lining model, building a lining condition evaluation system, and structuring a full life cycle management process for the lining, it realizes systematic, targeted, and continuous digital maintenance of the dry quenching coke oven lining throughout its entire life cycle. This maximizes the maintenance effect of the dry quenching coke oven lining, extends the life of the dry quenching coke oven, improves maintenance efficiency and quality, reduces maintenance costs, and provides detailed reference data for subsequent similar projects.

[0040] The beneficial effects of this invention are:

[0041] 1. By using BIM technology, 3D scanning technology, and a data management platform for dry quenching coke oven linings, a complete and scientific digital maintenance method for the entire life cycle of dry quenching coke oven linings has been constructed. This method enables efficient digital integration and management of lining detection, analysis, diagnosis, and repair, significantly improving the maintenance efficiency of dry quenching coke oven linings and achieving systematic, targeted, and continuous digital maintenance throughout the entire life cycle of dry quenching coke oven linings.

[0042] 2. The dry quenching coke oven lining maintenance data management platform generates practical and accurate big data on dry quenching coke oven lining maintenance through continuous application and feedback during use. This provides a practical basis for solving key problems such as short service life of the lining, high maintenance frequency, and vulnerability of weak parts of the lining. Furthermore, through continuous practice and testing throughout the lining's life cycle, the reliability and relevance of maintenance plans are continuously improved. At the same time, it also provides reference big data for the development of dry quenching coke technology in the coking industry.

[0043] 3. The introduction of the dry quenching coke oven lining condition coefficient E to evaluate the actual condition of the dry quenching coke oven lining can avoid reliance on human judgment and, through a scientific and reasonable scoring mechanism, accurately and efficiently evaluate the actual damage condition of the dry quenching coke oven lining and accurately determine whether the dry quenching coke oven needs maintenance. This provides a technical foundation for the full life cycle maintenance of dry quenching coke oven lining and promotes the high-precision, digital and intelligent development of dry quenching coke oven lining maintenance.

[0044] The aforementioned main solution of the present invention and its various further alternative solutions can be freely combined to form multiple solutions, all of which are solutions that can be adopted and are claimed by the present invention; furthermore, the (non-conflicting alternatives) can also be freely combined with each other and with other alternatives. Those skilled in the art, after understanding the solution of the present invention, will realize from the prior art and common general knowledge that there are many combinations, all of which are technical solutions to be protected by the present invention, and will not be exhaustively listed here. Attached Figure Description

[0045] Figure 1 This is a flowchart illustrating the present invention.

[0046] Figure 2 This is a schematic diagram illustrating the calculation of the state coefficient E value of the dry quenching coke oven lining according to the present invention. Figure 1 .

[0047] Figure 3 This is a schematic diagram illustrating the calculation of the state coefficient E value of the dry quenching coke oven lining according to the present invention. Figure 2 . Detailed Implementation

[0048] The following non-limiting examples are used to illustrate the present invention.

[0049] Example 1:

[0050] refer to Figure 1 As shown, a digital maintenance method for the entire life cycle of a dry quenching coke oven lining includes the following steps:

[0051] Step A1: Establish a BIM model based on the dry quenching coke oven lining drawings and inspect the lining design;

[0052] Step A2: During the furnace lining construction process, a 3D scan is performed to establish an actual model, and the BIM model is used to guide on-site construction.

[0053] Step A3: Compare and check the construction defects using the model. After rectification and acceptance, the model can be put into use.

[0054] Step A4: After a certain number of years of use, insert a 3D scanning instrument into the furnace opening to scan the furnace lining and create a model.

[0055] Step A5: Calculate the state coefficient E of the dry quenching coke oven lining. Use this coefficient to characterize the actual state of the dry quenching coke oven lining and establish a scoring mechanism for the state coefficient of the dry quenching coke oven lining. The lower the score, the more serious the damage to the lining. The state coefficient enables a scientific and reasonable evaluation of the damage to the dry quenching coke oven lining.

[0056] If the condition of the dry quenching coke oven lining meets the standard in step A6, proceed directly to step A8. If the condition does not meet the standard, analyze the damage to the lining and the data, and provide a targeted repair plan.

[0057] Step A7: After repair, perform a 3D scan of the furnace lining again to create a post-repair model;

[0058] Step A8: The dry quenching coke oven continues to be put into production and used for a certain number of years, then returns to step A4.

[0059] It also includes the following steps:

[0060] Step B1: Establish a dry quenching coke oven lining maintenance data management platform based on steps A1 and A2;

[0061] Step B2: Import data according to step A4, and enter the most recent furnace lining damage model and data into the management platform;

[0062] Step B3: Retrieve and analyze the model and data from the management platform after the most recent maintenance to provide a basis for calculation in step A5;

[0063] Step B4 involves conducting comprehensive analysis of multiple damage data, providing optimization suggestions, and then transferring the data to step A6. Based on step A6, the data is then fed back to the management platform, forming an evaluation feedback mechanism.

[0064] Step B5: Import data according to step A7, and update the management platform with the latest maintenance model and data for the furnace lining.

[0065] In step A1, during the initial stage of dry quenching coke oven construction, BIM modeling software is used to establish a three-dimensional BIM model of the furnace lining based on the design drawings of the dry quenching coke oven lining. The furnace lining is then preliminarily inspected according to the requirements for the arrangement and construction of the furnace lining refractory materials. The design is optimized and modified to address practical problems such as unreasonable refractory brick configuration, refractory brick spatial collision, and difficulties in construction operations.

[0066] In step A2, since the dry quenching coke oven lining is a vertical kiln structure and the masonry method is layered masonry from bottom to top, a spatial three-dimensional scanning instrument is inserted from the furnace opening during the construction of the dry quenching coke oven. The spatial three-dimensional scanning technology is used to scan and collect real-time information of the furnace lining masonry during the process of furnace lining masonry, and compare it with the established BIM three-dimensional model to check the furnace lining masonry results in real time, so as to guide the on-site construction according to the BIM three-dimensional model.

[0067] In step A3, the actual 3D scanning model is compared with the BIM model of the design drawings through the dry quenching coke oven lining maintenance data management platform to assist in project acceptance. After the acceptance is qualified, the dry quenching coke oven is officially put into actual use.

[0068] In step A4, after a certain number of years of operation, the lining of the dry quenching coke oven is damaged. A 3D scanner is inserted through the oven opening to scan the lining and create a lining model.

[0069] In step A5, the scoring mechanism for the state coefficient E of the dry quenching coke oven lining is as follows:

[0070] The damage status of various parts of the dry quenching coke oven lining and production operation factors are taken as sub-items, and further subdivided into sub-items. Then, based on the actual situation of each sub-item, the sub-item score is obtained by multiplying the sub-item score by the sub-item coefficient. After summing all the sub-items, the dry quenching coke oven lining state coefficient E is obtained. The calculation formula is shown in the formula:

[0071] E = E1 + E2 + E3 + E4 + E5;

[0072] Among them, E1 is the pre-storage section, with a score of 10 points; E2 is the annular air duct section, with a score of 15 points; E3 is the inclined flue section, with a score of 50 points; E4 is the cooling section section, with a score of 10 points; and E5 is the main production parameter section, with a score of 15 points.

[0073] If the state coefficient E value is greater than or equal to 80 points, it indicates that the lining of the dry quenching coke oven is in good condition and meets the standard for continued use. It can continue to operate and should be inspected regularly in accordance with the dry quenching coke oven operation procedures.

[0074] If the state coefficient E value is less than 80 points, it indicates that the condition of the dry quenching coke oven lining has reached the maintenance requirements but has not reached the standard for continued use. It is necessary to formulate corresponding maintenance plans according to different parts and different damage conditions.

[0075] refer to Figure 2 and Figure 3 The diagram shown is a detailed illustration of the sub-items obtained from the breakdown. Specifically, it includes five main parts: the pre-storage section, the annular air duct, the inclined flue, the cooling section, and the main production parameters.

[0076] The pre-storage section is further subdivided into furnace opening brick spalling and radar level gauge brick falling. Furnace opening brick spalling is scored out of 5 points; a sub-item coefficient of 0.85 corresponds to spalling less than 3 bricks, and 0.75 corresponds to spalling more than 3 bricks. Radar level gauge brick falling is also scored out of 5 points; a sub-item coefficient of 0.85 corresponds to spalling less than 3 bricks, and 0.75 corresponds to spalling more than 3 bricks.

[0077] The annular ventilation duct is further subdivided into refractory pile wear and refractory brick protrusions and depressions. Refractory pile wear is scored out of 5 points, with wear <30mm and area <1m². 2 The corresponding partial factor is 0.9, with wear < 30 mm and area > 1 m². 2 The corresponding partial factor is 0.8, with wear > 30 mm and area < 1 m². 2 The corresponding partial factor is 0.8, and the wear is greater than 30 mm and the area is greater than 1 m². 2 The corresponding partial factor is 0.7. The score for refractory brick protrusions and indentations is 10 points; protrusions or indentations <100mm and area <1m² are considered acceptable. 2 The corresponding partial factor is 0.9, and the protrusion or depression is <100mm and the area is >1m². 2 The corresponding partial factor is 0.8, and the protrusion or depression is greater than 100 mm and the area is less than 1 m². 2 The corresponding partial factor is 0.8, and the protrusion or depression is greater than 100mm and the area is greater than 1m². 2 The corresponding partial factor is 0.7.

[0078] The inclined flue is further subdivided into three categories: wear of the bottom three layers of the inclined flue support, brick loss of the bottom three layers of the inclined flue support facing the front, wear of the upper part of the inclined flue support, brick loss of the upper part of the inclined flue support facing the front, wear of the over-the-top brick, and brick loss of the over-the-top brick. The score for wear of the bottom three layers of the inclined flue support is 5 points. The sub-item coefficient is 0.9 for wear of the bottom three layers of the inclined flue support >30mm and the number of supports <1 / 3, and 0.6 for wear of the bottom three layers of the inclined flue support >30mm and the number of supports >1 / 3. The score for bricks falling off the bottom three layers of the ramp support is 10 points. The sub-item coefficient is 0.8 if more than 1 / 2 of the bricks on the bottom three layers of the ramp support are falling off and the number of supports is less than 1 / 3. The sub-item coefficient is 0.55 if more than 1 / 2 of the bricks on the bottom three layers of the ramp support are falling off and the number of supports is greater than 1 / 3. The sub-item coefficient is 0.75 if less than 1 / 2 of the bricks on the bottom three layers of the ramp support are falling off and the number of supports is less than 1 / 3. The sub-item coefficient is 0.7 if less than 1 / 2 of the bricks on the bottom three layers of the ramp support are falling off and the number of supports is greater than 1 / 3. The wear score for the upper part of the ramp support is 7.5 points. The partial factor is 0.9 for upper part wear of ramp support <30mm and number of supports <1 / 3, 0.7 for upper part wear of ramp support >30mm and number of supports >1 / 3, 0.85 for upper part wear of ramp support >30mm and number of supports <1 / 3, and 0.7 for upper part wear of ramp support >30mm and number of supports >1 / 3. The score for brick loss on the upper face of the ramp support is 10 points. A partial factor of 0.8 is given if more than half of the bricks on the upper face of the ramp support are lost and the number of supports is less than 1 / 3; a partial factor of 0.65 is given if more than half of the bricks on the upper face of the ramp support are lost and the number of supports is greater than 1 / 3; a partial factor of 0.8 is given if less than half of the bricks on the upper face of the ramp support are lost and the number of supports is less than 1 / 3; and a partial factor of 0.7 is given if more than half of the bricks on the upper face of the ramp support are lost and the number of supports is greater than 1 / 3. The score for wear on the overhead bricks is 7.5 points. A partial factor of 0.8 is given if the wear on the overhead bricks is less than 30mm and the number is less than 1 / 3; a partial factor of 0.75 is given if more than 30mm of wear on the overhead bricks is lost and the number is less than 1 / 3; and a partial factor of 0.7 is given if more than 30mm of wear on the overhead bricks is lost and the number is greater than 1 / 3. The score for falling bricks over the top is 10 points. The sub-item coefficient is 0.8 if the number of falling bricks is less than 1 / 2 and the quantity is less than 1 / 3, 0.7 if the number of falling bricks is greater than 1 / 2 and the quantity is less than 1 / 3, 0.8 if the number of falling bricks is greater than 1 / 2 and the quantity is less than 1 / 3, and 0.7 if the number of falling bricks is greater than 1 / 2 and the quantity is greater than 1 / 3.

[0079] The cooling section includes refractory lining wear. The refractory lining wear score is 10 points, with wear <30mm and area <1m². 2 The corresponding partial factor is 0.9, with wear < 30 mm and area > 1 m². 2The corresponding partial factor is 0.8, with wear > 30 mm and area < 1 m². 2 The corresponding partial factor is 0.8, and the wear is greater than 30 mm and the area is greater than 1 m². 2 The corresponding partial factor is 0.7.

[0080] The main production parameters are further subdivided into circulating air volume, P6 boiler inlet pressure, and T4 cooling chamber upper temperature. Circulating air volume is scored out of 5 points; a circulating air volume greater than 1.1 times the design value corresponds to a partial factor of 0.8. P6 boiler inlet pressure is scored out of 5 points; a P6 boiler inlet pressure greater than 1.1 times the design pressure corresponds to a partial factor of 0.8. T4 cooling chamber upper temperature is scored out of 5 points; a T4 cooling chamber upper temperature greater than 1.1 times the design temperature corresponds to a partial factor of 0.8.

[0081] Note: If no abnormality is detected in a certain sub-item, the default feature value is 1.0.

[0082] In step A6, if the lining of the dry quenching coke oven does not meet the standard for continued use after evaluation, it will be repaired. The damage and data of the lining at that time will be analyzed, and a corresponding maintenance plan will be formulated.

[0083] In step A7, after the furnace lining repair work is completed, a 3D scanning instrument is inserted through the furnace opening to scan the furnace lining again, establish a post-repair model, and collect relevant data.

[0084] In step B1, during the project construction phase, a data management platform for the maintenance of dry quenching coke oven linings is established. This platform collects data from the BIM 3D model of the lining, the actual construction 3D scanning model, design documents, and design parameters established in steps A1 and A2, providing accurate reference data for subsequent maintenance.

[0085] In step B2, based on the furnace lining model established in A4, the most recent furnace lining damage model and related data are imported into the dry quenching coke oven lining maintenance data management platform as the original basis for damage assessment and maintenance construction.

[0086] In step B3, the dry quenching coke oven lining maintenance data management platform is used to retrieve the dry quenching coke oven lining model and parameters after the last maintenance. If it is the first maintenance, the lining model after construction is retrieved, and the current lining damage model and parameters are compared to evaluate the damage status of the dry quenching coke oven lining and determine whether the dry quenching coke oven lining needs maintenance.

[0087] In step B4, the current lining damage and data are analyzed through the dry quenching coke oven lining maintenance data management platform. Combined with previous damage and repair data, suggestions are provided for the current maintenance. After the corresponding maintenance plan is formulated, the current damage and maintenance plan are imported into the dry quenching coke oven lining maintenance data management platform. Feedback and evaluation of the maintenance plan are carried out after the next damage, forming an evaluation and feedback mechanism to optimize and improve subsequent maintenance plans.

[0088] Based on the dry quenching coke oven lining maintenance data management platform, the big data generated from the application and feedback of multiple maintenance plans throughout the lining's life cycle can effectively and continuously improve the reliability and relevance of maintenance plans. It also provides practical and accurate big data for the maintenance and longevity development of dry quenching coke oven linings in the coking industry.

[0089] In step B5, the repaired model and collected relevant data are imported into the dry quenching coke oven lining maintenance data management platform to provide practical reference for the next overhaul and maintenance.

[0090] The foregoing basic examples and their further alternative examples of the present invention can be freely combined to form multiple embodiments, all of which are embodiments that can be adopted and claimed by the present invention. In the present invention, each alternative example can be arbitrarily combined with any other basic example and alternative example.

[0091] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for digital maintenance of the entire life cycle of a dry quenching coke oven lining, characterized in that, Includes the following steps: Step A1: Establish a BIM model based on the dry quenching coke oven lining drawings and inspect the lining design; Step A2: During the furnace lining construction process, a 3D scan is performed to establish an actual model, and the BIM model is used to guide on-site construction. Step A3: Compare and check the construction defects using the model. After rectification and acceptance, the model can be put into use. Step A4: After a certain number of years of use, insert a 3D scanning instrument into the furnace opening to scan the furnace lining and create a model. Step A5: Calculate the state coefficient E of the dry quenching coke oven lining. Use this coefficient to characterize the actual state of the dry quenching coke oven lining and establish a scoring mechanism for the state coefficient of the dry quenching coke oven lining. The lower the score, the more serious the damage to the lining. The state coefficient enables a scientific and reasonable evaluation of the damage to the dry quenching coke oven lining. If the condition of the dry quenching coke oven lining meets the standard in step A6, proceed directly to step A8. If the condition does not meet the standard, analyze the damage to the lining and the data, and provide a targeted repair plan. Step A7: After repair, perform a 3D scan of the furnace lining again to create a post-repair model; Step A8: The dry quenching coke oven continues to be put into production and used for a certain number of years, then returns to step A4. It also includes the following steps: Step B1: Establish a dry quenching coke oven lining maintenance data management platform based on steps A1 and A2; Step B2: Import data according to step A4, and enter the most recent furnace lining damage model and data into the management platform; Step B3: Retrieve and analyze the model and data from the management platform after the most recent maintenance to provide a basis for calculation in step A5; Step B4 involves conducting comprehensive analysis of multiple damage data, providing optimization suggestions, and then transferring the data to step A6. Based on step A6, the data is then fed back to the management platform to form an evaluation feedback mechanism. Step B5: Import data according to step A7, and update the management platform with the latest maintenance model and data for the furnace lining; In step A5, the scoring mechanism for the state coefficient E of the dry quenching coke oven lining is as follows: The damage status of various parts of the dry quenching coke oven lining and production operation factors are taken as sub-items, and further subdivided into sub-items. Then, based on the actual situation of each sub-item, the sub-item score is obtained by multiplying the sub-item score by the sub-item coefficient. After summing all the sub-items, the dry quenching coke oven lining state coefficient E is obtained. The calculation formula is shown in the formula: E = E1 + E2 + E3 + E4 + E5; Among them, E1 is the pre-storage section, with a score of 10 points; E2 is the annular air duct section, with a score of 15 points; E3 is the inclined flue section, with a score of 50 points; E4 is the cooling section section, with a score of 10 points; and E5 is the main production parameter section, with a score of 15 points. If the state coefficient E value is greater than or equal to 80 points, it indicates that the lining of the dry quenching coke oven is in good condition and meets the standard for continued use. It can continue to operate and should be inspected regularly in accordance with the dry quenching coke oven operation procedures. If the state coefficient E value is less than 80 points, it indicates that the condition of the dry quenching coke oven lining has reached the maintenance requirements but has not reached the standard for continued use. It is necessary to formulate corresponding maintenance plans according to different parts and different damage conditions.

2. The method for digital maintenance of the dry quenching coke oven lining throughout its entire life cycle as described in claim 1, characterized in that: In step A1, during the initial stage of dry quenching coke oven construction, BIM modeling software is used to establish a three-dimensional BIM model of the furnace lining based on the design drawings of the dry quenching coke oven lining. The furnace lining is then preliminarily inspected according to the requirements for the arrangement and construction of the furnace lining refractory materials. The design is optimized and modified to address the actual problems of unreasonable refractory brick configuration, refractory brick spatial collision, and difficulties in construction operations. In step A2, since the dry quenching coke oven lining is a vertical kiln structure and the masonry method is layered masonry from bottom to top, a spatial three-dimensional scanning instrument is inserted from the furnace opening during the construction of the dry quenching coke oven. The spatial three-dimensional scanning technology is used to scan and collect real-time information of the furnace lining masonry during the process of furnace lining masonry, and compare it with the established BIM three-dimensional model to check the furnace lining masonry results in real time, so as to guide the on-site construction according to the BIM three-dimensional model. In step A3, the actual 3D scanning model is compared with the BIM model of the design drawings to assist in the project acceptance. After the acceptance is qualified, the dry quenching coke oven is officially put into actual use. In step A4, after a certain number of years of operation, the lining of the dry quenching coke oven is damaged. A 3D scanner is inserted through the oven opening to scan the lining and create a lining model.

3. The method for digital maintenance of the entire life cycle of a dry quenching coke oven lining according to claim 1, characterized in that: In step A6, if the lining of the dry quenching coke oven does not meet the standard for continued use after evaluation, it will be repaired. The damage to the lining and the data will be analyzed to formulate a corresponding maintenance plan. In step A7, after the furnace lining repair work is completed, a 3D scanning instrument is inserted through the furnace opening to scan the furnace lining again, establish a post-repair model, and collect relevant data.

4. The method for digital maintenance of the entire life cycle of a dry quenching coke oven lining according to claim 1, characterized in that: In step B1, during the project construction phase, a data management platform for the maintenance of dry quenching coke oven linings is established to collect data from the established BIM 3D model of the lining, the actual construction 3D scanning model, design documents, and design parameters, providing accurate reference for subsequent maintenance. In step B2, based on the furnace lining model established in A4, the most recent furnace lining damage model and related data are imported into the dry quenching coke oven furnace lining maintenance data management platform as the original basis for damage assessment and maintenance construction. In step B3, the dry quenching coke oven lining maintenance data management platform is used to retrieve the dry quenching coke oven lining model and parameters after the last maintenance. If it is the first maintenance, the lining model after construction is retrieved, and the current lining damage model and parameters are compared to evaluate the dry quenching coke oven lining damage and determine whether the dry quenching coke oven lining needs maintenance. In step B4, the current lining damage and data are analyzed through the dry quenching coke oven lining maintenance data management platform. Combined with previous damage and repair data, suggestions are provided for the current maintenance. After the corresponding maintenance plan is formulated, the current damage and maintenance plan are imported into the dry quenching coke oven lining maintenance data management platform. Feedback and evaluation of the maintenance plan are carried out after the next damage, forming an evaluation and feedback mechanism to optimize and improve subsequent maintenance plans. Based on the dry quenching coke oven lining maintenance data management platform, the big data generated from the application and feedback of multiple maintenance plans throughout the lining's life cycle can effectively and continuously improve the reliability and relevance of maintenance plans. It also provides practical and accurate big data for the maintenance and longevity development of dry quenching coke oven linings in the coking industry. In step B5, the repaired model and collected relevant data are imported into the dry quenching coke oven lining maintenance data management platform to provide practical reference for the next overhaul and maintenance.

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