Method for dynamic calculation of temper embrittlement damage factor, device, medium, and product

Abstract

A method for dynamic calculation of a temper embrittlement damage factor comprises obtaining historical operating conditions of to-be-assessed equipment in service in a set time period, the historical

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of petrochemical equipment safety assessment, and in particular, to a method for dynamic calculation of a temper embrittlement damage factor, a device, a medium, and a product for use in temper embrittlement damage assessment on an in-service petrochemical hydrogenation reactor with a chromium-molybdenum steel material in petrochemical equipment. BACKGROUND

[0002] A hydrogenation reactor is the most important pressure container in a petrochemical hydrogenation unit, and is characterized by a high operating temperature (above 450°C), a high pressure (above 10 Mpa), operation in the presence of hydrogen, and a maximum wall thickness of above 300 mm. The safe and stable operation of the hydrogenation reactor has the direct bearing on the continuous production and economic benefits of the whole oil refining unit.

[0003] The hydrogenation reactor is generally made of chromium-molybdenum steel materials such as 2.25CrlMo or 2.25CrlMoV. Such materials have good high-temperature strength and toughness, but when operating for a long time in a range of 375-475°C, they are prone to impurity element segregation along grain boundaries, i.e., temper embrittlement damage, which may lead to a significant increase in material brittleness and even lead to the risk of cracking failure. Therefore, the accurate determination of the degree of embrittlement and the risk in the operating process of the hydrogenation reactor is significant for avoiding the failure accidents and the shutdown losses.

[0004] Both of the API581 (Risk-Based Inspection Methodology) standard published by the American Petroleum Institute and the Chinese GB / T26610 (Risk-Based Inspection Guideline) standard present methods for calculating a failure possibility (i.e., a failure probability) of equipment temper embrittlement damage, which are as follows:

[0005] Pf(t) = Gff x x FMS;

[0006] where Pf(t) represents the failure possibility (i.e., the failure probability); Gff represents a universal failure frequency for equipment; represents a possibility parameter of a temper embrittlement failure mechanism causing equipment failure, which is also referred to as a temper embrittlement damage factor; and FMS represents a management level influence coefficient.

[0007] The value of the Gff can be determined by looking up the table in the standard, and the FMS can be determined by scoring the management level of an enterprise.

[0008] The API581 and GB / T26610 standards also present calculation methods for the temper embrittlement damage factor D^mpe , which are mainly to measure the temper embrittlement damage factor according to a ductile-brittle fracture appearance transition temperature (FATT) variation AFATT of a material due to temper embrittlement and to obtain it by table look-up. Three methods are provided in the estimation standard for AFATT.

[0009] Method 1: AFATT is obtained by actual measurement through an impact experiment.

[0010] Method 2: AFATT is obtained by estimating chemical components of the material:

[0011] AFATT=0.6xJ-20;

[0012] where J is a J coefficient of the chromium-molybdenum steel material, calculated from contents of impurity elements such as S and P.

[0013] Method 3: AFATT is estimated from a serving life age and the ductile-brittle FATT variation SCE specified by the step cooling test of the material:

[0014] AFATT=0.67*lg(age-0.91)^SCE

[0015] Since test block specimens of the hydrogenation reactor are finite and taken out for experiment only during shutdown maintenance, with high cost and long time, it is difficult to perform actual measurement by the method 1. For the method 2 and the method 3, the effect of the serving temperature on embrittlement is not taken into account. After determination with the material of the hydrogenation reactor and the initial step cooling test SCE, the change of the degree of embrittlement is not affected by operating parameters. This estimation result obviously has an offset from the actual damage. The static risk of the equipment can only be calculated approximately. The dynamic damage factor and the risk related to the actual operating parameters cannot be assessed. Therefore, the actual requirements of current dynamic risk assessment and early warning of the enterprise cannot be met. SUMMARY

[0016] An objective of the present disclosure is to provide a method for dynamic calculation of a temper embrittlement damage factor, a device, a medium, and a product. The temper embrittlement damage factor is dynamically calculated based on a plurality of factors such as performance, a serving time, a monitored temperature, and an actual measurement result of a material. Thus, real-time and more accurate calculation of the temper embrittlement damage possibility and the risk of a chromium-molybdenum steel material of hydrogenation reactor equipment can be achieved, providing support for the assessment and early warning of the dynamic damage and the risk.

[0017] To achieve the above objective, the present disclosure provides the following solutions.

[0018] In a first aspect, the present disclosure provides a method for dynamic calculation of a temper embrittlement damage factor, including:

[0019] obtaining historical operating conditions of to-be-assessed equipment in service in a set time period, where the set time period is time points between a closest time and a current assessment time; the closest time is a historical test block testing time of the to-be-assessed equipment closest to the current assessment time; the historical operating conditions include an average measured operating temperature of the to-be-assessed equipment at a preset time, and a serving time at the preset time; and the preset time is any time point in the set time period;

[0020] calculating a predicted ductile-brittle FATT variation at the current assessment time according to the historical operating conditions, an ex-factory ductile-brittle FATT variation, and a measured ductile-brittle FATT variation, where the ex-factory ductile-brittle FATT variation is obtained according to an ex-factory step cooling test result of a chromium-molybdenum steel material of the to-be-assessed equipment; the measured ductile-brittle FATT variation is obtained according to historical test block test data corresponding to the closest time; or the ex-factory ductile-brittle FATT variation is a set value; and

[0021] calculating the temper embrittlement damage factor by a table look-up method according to the predicted ductile-brittle FATT variation.

[0022] Optionally, a process of determining the ex-factory ductile-brittle FATT variation specifically includes:

[0023] when the to-be-assessed equipment has ex-factory step cooling test data corresponding to a plurality of groups of tubular chromium-molybdenum steel materials, selecting a highest ductile-brittle FATT variation in the ex-factory step cooling test data as the ex-factory ductile-brittle FATT variation.

[0024] Optionally, a process of determining the measured ductile-brittle FATT variation includes:

[0025] when the to-be-assessed equipment has no historical test block test data, using a time of putting the to-be-assessed equipment into use as the closest time and letting the measured ductile-brittle FATT variation to the set value; and

[0026] when the to-be-assessed equipment has actual measurement data of ductile-brittle FATT variations of a plurality of groups of test blocks at the closest time, selecting a highest ductile-brittle FATT variation in the actual measurement data of ductile-brittle FATT variations as the measured ductile-brittle FATT variation.

[0027] Optionally, after the calculating the temper embrittlement damage factor by a table look-up method according to the predicted ductile-brittle FATT variation, the method further includes:

[0028] determining whether the to-be-assessed equipment is subjected to a new test block test to obtain a determination result;

[0029] if the determination result is yes, updating the closest time, the set time period, the historical operating conditions of the equipment in service in the set time period, and the measured ductile-brittle FATT variation; and

[0030] using next assessment time as the new current assessment time, and returning to the step of “calculating a predicted ductile-brittle FATT variation at the current assessment time according to the historical operating conditions, an ex-factory ductile-brittle FATT variation, and a measured ductile-brittle FATT variation”.

[0031] Optionally, a calculation formula of the predicted ductile-brittle fracture appearance transition temperature (FATT) variation is as follows:

[0032] JFATTcum = JFATTtest + ^=1 X JFATT(T;)) X JFATTSC;

[0033] t(Ti.)=1019-9279-°03343Tk

[0034] JFATT(T;)=10.4333-0.0188xT;;

[0035] where JFATTCMm represents the predicted ductile-brittle FATT variation; JFATTtest represents the measured ductile-brittle FATT variation; dFATTsc represents the ex-factory ductile-brittle FATT variation; T represents an average measured operating temperature of the to-be-assessed equipment at an zth preset time; h represents a serving time at the zth preset time; n represents a total number of the preset times; £(7,) represents a function of a saturated embrittlement time over Ti, and dFATT(T;) represents a function of a saturated embrittlement amount over Ti.

[0036] In a second aspect, the present disclosure provides a computer device, including a memory, a processor, and a computer program stored on the memory and runnable on the processor, where the processor is configured to execute the computer program to implement steps of the method for dynamic calculation of a temper embrittlement damage factor as described above.

[0037] In a third aspect, the present disclosure provides a computer-readable storage medium, storing a computer program which, when executed by a processor, implements steps of the method for dynamic calculation of a temper embrittlement damage factor as described above.

[0038] In a fourth aspect, the present disclosure provides a computer program product, including a computer program which, when executed by a processor, implements steps of the method for dynamic calculation of a temper embrittlement damage factor as described above.

[0039] According to specific embodiments provided in the present disclosure, the present disclosure has the following technical effects:

[0040] The present disclosure provides a method for dynamic calculation of a temper embrittlement damage factor, a device, a medium, and a product. The method includes: obtaining historical operating conditions of to-be-assessed equipment in service in a set time period, where the historical operating conditions include an average measured operating temperature of the to-be-assessed equipment at a preset time and a serving time at the preset time; and calculating a temper embrittlement damage factor according to an ex-factory ductile-brittle FATT variation, a measured ductile-brittle FATT variation, and historical operating conditions, where the ex-factory ductile-brittle FATT variation is obtained according to an ex-factory step cooling test result of a chromium-molybdenum steel material in the to-be-assessed equipment; and the measured ductile-brittle FATT variation is obtained according to historical test block test data of the to-be-assessed equipment. In the present disclosure, the calculation process of the temper embrittlement damage factor takes in account a plurality of factors such as the performance, serving time, monitored temperature, and actual measurement result (i.e., measured ductile-brittle FATT variation) of the material. Thus, real-time and more accurate calculation of the temper embrittlement damage possibility and the risk of a chromium-molybdenum steel material of hydrogenation reactor equipment can be achieved, providing support for the assessment and early warning of the dynamic damage and the risk. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] To describe the technical solutions in embodiments of the present disclosure or in the prior art more clearly, the accompanying drawings required for the embodiments are briefly described below. Apparently, the accompanying drawings in the following description show merely some embodiments of the present disclosure, and those of ordinary skill in the art may still derive other accompanying drawings from these accompanying drawings without creative efforts.

[0042] FIG. 1 is a flowchart of a method for dynamic calculation of a temper embrittlement damage factor provided by Example 1 of the present disclosure;

[0043] FIG. 2 is a comparison diagram of a dynamic damage factor calculation result provided in Example 1 of the present disclosure and a calculation result of a traditional method; and

[0044] FIG. 3 is a diagram of an internal structure of a computer device. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0045] The technical solutions of the embodiments of the present disclosure are clearly and completely described below with reference to the drawings in the embodiments of the present disclosure. Apparently, the described embodiments are merely a part rather than all of the embodiments of the present disclosure. All other embodiments obtained by a person of ordinary skill in the art on the basis of the embodiments of the present disclosure without creative efforts shall fall within the protection scope of the present disclosure.

[0046] An objective of the present disclosure is to provide a method for dynamic calculation of a temper embrittlement damage factor, a device, a medium, and a product. The temper embrittlement damage factor is dynamically calculated based on a plurality of factors such as performance, a serving time, a monitored temperature, and an actual measurement result of a material. Thus, real-time and more accurate calculation of the temper embrittlement damage possibility and the risk of a chromium-molybdenum steel material of hydrogenation reactor equipment can be achieved, providing support for the assessment and early warning of the dynamic damage and the risk.

[0047] To make the above objective, features, and advantages of the present disclosure clearer and more comprehensible, the present disclosure will be further described in detail below with reference to the accompanying drawings and the specific examples.

[0048] Example 1

[0049] In order to avoid the shortcomings of the prior art to achieve real-time and more accurate calculation of the temper embrittlement damage and the dynamic risk of chromium-molybdenum steel equipment such as a hydrogenation reactor, a method for dynamic calculation of a temper embrittlement damage factor in this example includes the following steps.

[0050] In step Sa, historical operating conditions of to-be-assessed equipment in service in a set time period are obtained, where the set time period is time points between a closest time and a current assessment time; the closest time is a historical test block testing time of the to-be-assessed equipment closest to the current assessment time; the historical operating conditions include an average measured operating temperature of the to-be-assessed equipment at a preset time, and a serving time at the preset time; and the preset time is any time point in the set time period;

[0051] Historical operation records of the equipment during serving from a latest test block test to a current assessment time point are obtained from an enterprise distributed control system (DCS), and the historical operating conditions are determined, including the measured average operating temperature of the to-be-assessed equipment at the preset time, and the serving time at the preset time, n is defined as a total number of the preset time; Tt represents an average measured operating temperature of the to-be-assessed equipment at an zth preset time; and h represents a serving time at the zth preset time.

[0052] Preferably, in practical application, n may be a total number of days during serving from the latest test block test to the current assessment time point; the measured average operating temperature of an zth day is determined to be T, (°C), and the serving time of the zth day is ti (h). n may also be adjusted to a number of time intervals of several hours or several days according to a temperature monitoring data updating frequency and a requirement of dynamic assessment; the corresponding Tt (°C) is an average temperature in the time interval; and h (h) is the serving time of the time interval.

[0053] When old equipment that has served for a long time has no historical DCS record or the record is deleted, estimation can be performed according to a current operation situation or by an operator.

[0054] In step Sb, a corresponding predicted ductile-brittle FATT variation at the current assessment time is calculated according to the historical operating conditions, an ex-factory ductile-brittle FATT variation, and a measured ductile-brittle FATT variation, where the ex-factory ductile-brittle FATT variation is determined according to an ex-factory step cooling test result of a chromium-molybdenum steel material of the to-be-assessed equipment; and the measured ductile-brittle FATT variation is obtained according to historical test block test data corresponding to the closest time.

[0055] (1) A process of determining the ex-factory ductile-brittle FATT variation specifically includes the following step.

[0056] When the to-be-assessed equipment has ex-factory step cooling test data corresponding to a plurality of groups of tubular chromium-molybdenum steel materials, a highest ductile-brittle FATT variation in the ex-factory step cooling test data is selected as the ex-factory ductile-brittle FATT variation.

[0057] For the chromium-molybdenum steel equipment such as the hydrogenation reactor to be assessed, the equipment manufacturing quality certificate is collected; the ex-factory step cooling test result of the host chromium-molybdenum steel material is found; and the ductile-brittle FATT variation JFATTSC (i.e., the SCE in the API581 method, in units of °C) obtained by the ex-factory step cooling test is determined, namely the ex-factory ductile-brittle FATT variation. When there is step cooling test data corresponding to a plurality of groups of tubular chromium-molybdenum steel materials, the data with the highest dFATTsc is selected. Preferably, this example is applicable to 2.25CrlMo and 2.25CrlMoV materials.

[0058] (2) A process of determining the measured ductile-brittle FATT variation includes the following steps.

[0059] Historical test block test data information of the to-be-assessed equipment is obtained, and a time of taking out a test block for testing last time, and a corresponding measured ductile-brittle FATT variation value JFATTtest (°C), namely the measured ductile-brittle FATT variation, are determined.

[0060] When the to-be-assessed equipment has no historical test block test data, a time of putting the to-be-assessed equipment into use is used as the closest time and the measured ductile-brittle FATT variation is let to the set value. Preferably, in this example, if the equipment is not subjected to the test block test, the time of taking out the test block for testing last time (test block testing time) is the time of putting the equipment into use, and riFATTtest (°C) is 0.

[0061] When the to-be-assessed equipment has actual measurement data of ductile-brittle FATT variations of a plurality of groups of test blocks at the closest time, a highest ductile-brittle FATT variation in the actual measurement data of ductile-brittle FATT variations is selected as the measured ductile-brittle FATT variation. That is, when there is ductile-brittle transition temperature test data of a plurality of groups of test blocks, the data with the highest riFATTtest is selected.

[0062] In this example, it the ductile-brittle transition temperature can be accurately measured without taking out the test block by other new testing methods such as microdamage testing and indentation testing, and the measured value may also be used to replace the test block test result.

[0063] It needs to be noted that generally, before the equipment such as the hydrogenation reactor is put into use, test blocks are placed inside a container to simulate the degree of temper embrittlement under actual working conditions, and regularly taken out for impact toughness testing during overhauling, thereby obtaining the ductile-brittle transition temperature and its variation and assessing the degree of embrittlement of the equipment. However, due to the finite number of the test blocks (generally one piece of equipment has not more than 3 test blocks), the use of such a testing method is limited, and the test is not carried out at each overhaul.

[0064] (3) According to isothermal temper embrittlement test data of the chromium-molybdenum steel material of the hydrogenation reactor (see Table 1), a relationship of a saturated embrittlement amount and a saturated embrittlement time to a step cooling test embrittlement amount is determined, which is fitted into the following formula to calculate the ductile-brittle FATT variation riFATTcum (°C) caused by the accumulated temper embrittlement damage of the material at the current assessment time point, namely the predicted ductile-brittle FATT variation:

[0065] 21FATTcum = riFATTtest + ^=1 X 4FATT(Tl)) X dFATTsc;

[0066] where:

[0067] ¢(7.)=1019-9279-0.03343^.

[0068] riFATT(T;)=10.4333-0.0188xT;.

[0069] The meanings and the principles represented by the data in Table 1 and the above formula are as follows:

[0070] The chromium-molybdenum steel material will be embrittled when serving for a long time at a high temperature, and the embrittlement amount will finally reach saturation (i.e., the embrittlement amount does not increase over time). As determined from the test in Table 1, the higher the temperature (i.e., the first column of Table 1), the shorter the time to saturated embrittlement (i.e., the second column of Table 1), but the lower the saturated embrittlement amount (i.e., the third column of Table 1, expressed as a ratio to the step cooling test embrittlement amount). Therefore, it is considered that both of the saturated embrittlement time t(Ti) and the saturated embrittlement amount dFATT(T;) are functions of the embrittlement temperature Tt, which are curve-fitted to obtain a fitted formula and fitted formulas. After the material actually serves at the temperature T, for the time t;. It is engineeringly considered that the embrittlement amount will be linearly accumulated over time to reach of the saturated embrittlement amount dFATT(T;) at the temperature, and then may be multiplied by the step cooling test embrittlement amount dFATTsc to obtain the actual ductile-brittle FATT variation.

[0071] Table 1 Isothermal Temper Embrittlement Test Data

[0072] Isothermal Temper Embrittlement Temperature (°C) Isothermal Temper Embrittlement Time h Saturated Isothermal Temper Embrittlement Amount / Step Cooling Test Embrittlement Amount 425 380000h 2.44 450 64000h 1.98 475 lOOOOh 1.51

[0073] The suitable range of the temperature T, in the formula is 375-500°C. The temper embrittlement damage is not prone to occurring within the serving time beyond the temperature range, and the temper embrittlement damage may be not subjected to risk assessment, or not included in accumulated damage calculation.

[0074] In step Sc, the temper embrittlement damage factor is calculated by a table look-up method according to the predicted ductile-brittle FATT variation.

[0075] According to the method in the API581 or GB / T26610 standard, riFATTclim is used to replace dFATT in the standard method, and then the temper embrittlement damage factor D^mpe js caicuiated by table look-up.

[0076] In step Sd, the current time is updated to the next assessment time, and the iterative calculation is continued according to steps Sa-Sc.

[0077] With the changing of the assessment time, e.g., from an nth day to an (n+l)th day, whether riFATTtest is updated is checked, and Tn+i and tn+i are obtained. The dynamic JFATTcum_dy value of the (n+l)th day is obtained by the iterative calculation of the steps Sa-Sd, and the dynamic temper embrittlement damage factor value is calculated. The dynamic damage factor is updated continuously, which can be used for subsequently calculating the dynamic failure possibility and risk values of the equipment.

[0078] The iterative calculation process may be implemented using a computer program, and by establishing an interface to the DCS, the dynamic damage factor and the risk are automatically calculated.

[0079] In order to provide a clear understanding of the above-mentioned process of this example for those skilled in the art, dynamic risk calculation is performed on a hydrogenation reactor that has served for more than 20 years, with reference to FIG. 1, including the following steps.

[0080] In step SI, the equipment manufacturing quality certificate is collected, and the ex-factory step cooling test ductile-brittle FATT variation JFATTSC of the tubular chromium-molybdenum steel material of the equipment is determined to be 57°C.

[0081] In step S2, the historical test block test data information of the equipment is obtained, and the time of taking out the test block for testing last time and the corresponding measured ductile-brittle FATT variation value JFATTtest for the equipment are determined. Due to no test block being tested since the equipment has been put into use, the measured ductile-brittle FATT variation value JFATTtest (°C) is 0, and the test block testing time is the time of putting the equipment into use.

[0082] In step S3, the historical operation records during serving from the current assessment time point since the equipment has been put into use are obtained from the enterprise DCS, and the historical operating conditions are determined, including the measured average operating temperature Tt (°C) of the zth day and the serving time h (h) of the zth day. Since the equipment has been put into use, the measured average operating temperature is 395°C on about 300 days of each year, and is 450°C on 50 days of each year. The equipment is shut down for maintenance for about 15 days of each year, and the temperature is 25°C.

[0083] In step S4, the ductile-brittle FATT variation JFATTclim caused by the accumulated temper embrittlement damage of the material at the current assessment time point is calcualted according to the above-mentioned calculation formula for calculating JFATTclim in this example, thereby obtaining JFATTclim after serving for 20 years as 20.42°C.

[0084] By comparison, the ductile-brittle FATT variation obtained by the method 2 of API581 is 70°C, and the ductile-brittle FATT variation obtained by the method 3 is 51.48°C. The test block is taken out for an impact test during shutdown maintenance after serving for 20 years, thereby obtaining the measured ductile-brittle FATT variation of the test block material as 25°C. It indicates that the method of this example is closer to the actual situation. This is because the assessed equipment operates at a low temperature (395°C) at most of time, and the temperature does not reach the design temperature (450°C), so the degree of temper embrittlement is limited. The effect of such a serving temperature on temper embrittlement cannot be estimated by the traditional method, and therefore, the assessment result is too conservative. Comparison results are as shown in FIG. 2.

[0085] In step S5, according to the method in the GB / T26610 standard, JFATTclim is used to replace JFATT in the standard method, and then D^empe is calculated.

[0086] In step S6, the calculation result is updated according to the ductile-brittle FATT variation JFATTtest =25 obtained by this test, and the dynamic temper embrittlement damage factor value is calculated according to the subsequent temperature monitoring data. The values of the dynamic damage factor and the risk are updated continuously.

[0087] The method for dynamic calculation of a temper embrittlement damage factor of this example has the following advantages.

[0088] (A) The calculation methods for the ductile-brittle FATT variations used in this example takes into account a plurality of factors such as the performance (JFATTSC), serving time (h), the monitored temperature and the actual measurement result (JFATTtest) of the material, and according to the isothermal temper embrittlement test data of the chromium-molybdenum steel material of the hydrogenation reactor, the relationship of the saturated embrittlement amount and the saturated embrittlement time to the step cooling test embrittlement amount is determined. The engineering calculation method for the ductile-brittle FATT variations is fitted using the accumulated damage theory, which allows for more accurate calculation of the degree of embrittlement of the material after serving at a high temperature for a long time.

[0089] (B) The temper embrittlement damage factor can be updated in real time according to the actual measurement data, the monitoring data, and the serving time in this example. Thus, the temper embrittlement failure risk of the equipment can be monitored dynamically, and the potential safety hazards can be found in time. Damage aggravated failure accidents due to overtemperature operation, or scraping of the equipment due to conservative assessment due to static data can be avoided. Important support can be provided for the scientific management of the large-scale chromium-molybdenum steel equipment such as the hydrogenation reactor of the enterprise.

[0090] (C) This example makes up the technical gap of no dynamic damage factor and dynamic risk algorithm for the embrittlement damage factor in the previous standards. This algorithm may also be built in a dynamic risk assessment software system as a program algorithm, and can be connected to data systems such as DCS through an interface. Thus, the equipment risk can be dynamically calculated and presented. A reasonable inspection and maintenance strategy can be formulated. The intelligentization and informatization levels of the enterprise equipment management are increased.

[0091] Example 2

[0092] A computer device includes a memory, a processor, and a computer program stored on the memory and runnable on the processor. The processor is configured to execute the computer program to implement the steps of the method for dynamic calculation of a temper embrittlement damage factor in Example 1.

[0093] Example 3

[0094] A computer-readable storage medium stores a computer program which, when executed by a processor, implements the steps of the method for dynamic calculation of a temper embrittlement damage factor in Example 1.

[0095] Example 4

[0096] A computer program product includes a computer program which, when executed by a processor, implements the steps of the method for dynamic calculation of a temper embrittlement damage factor in Example 1.

[0097] Example 5

[0098] A computer device is provided. The computer device may be a database and can have an internal structure shown in FIG. 3. The computer device includes a processor, a memory, an input / output interface (VO), and a communication interface. 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. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a nonvolatile 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 operation of the operating system and the computer program in the nonvolatile storage medium. The database of the computer device is configured to store pending transactions. The input / output interface of the computer device is configured to exchange information between the processor and an external device. The communication interface of the computer device is configured to communicate with an external terminal through a network. The computer program, when executed by the processor, implements the method for dynamic calculation of a temper embrittlement damage factor in Example 1.

[0099] It is to be noted that information of an object (including but not limited to device information of the object, personal information of the object and the like) and data (including but not limited to data for analysis, data for storage, data for exhibition and the like) in the present disclosure are information and data authorized by the object or fully authorized by each party, and relevant data shall be acquired, used and processed according to laws, regulations and standards of related countries and regions.

[0100] Those of ordinary skill in the art may understand that all or some of the procedures in the methods of the above embodiments may be implemented by a computer program instructing related hardware. The computer program may be stored in a nonvolatile computer-readable storage medium. When the computer program is executed, the procedures in the embodiments of the above methods may be performed. Any reference to the memory, the database, or other media used in the embodiments of the present disclosure may include at least one of a nonvolatile memory and a volatile memory. The nonvolatile memory may include a read-only memory (ROM), a magnetic tape, a floppy disk, a flash memory, an optical memory, a high-density embedded nonvolatile memory, a resistive random access memory (ReRAM), a magnetoresistive random access memory (MRAM), a ferroelectric random access memory (FRAM), a phase change memory (PCM), a graphene memory, etc. The volatile memory may include a random access memory (RAM) or an external cache memory. As an illustration rather than a limitation, the RAM may be in various forms, such as a static random access memory (SRAM) or a dynamic random access memory (DRAM). The database in the embodiments of the present disclosure may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on a blockchain, but is not limited thereto. The processor in the embodiments of the present disclosure may be a general processor, a central processor, a graphics processor, a digital signal processor (DSP), a programmable logic device, and a data processing logic device based on quantum computing, but is not limited thereto.

[0101] The technical characteristics of the above embodiments can be employed in arbitrary combinations. To provide a concise description of these embodiments, all possible combinations of all the technical characteristics of the above embodiments may not be described; however, these combinations of the technical characteristics should be construed as falling within the scope defined by the specification as long as no contradiction occurs.

[0102] Particular examples are used herein for illustration of principles and implementation modes of the present disclosure. The descriptions of the above embodiments are merely used for assisting in understanding the method of the present disclosure and its core ideas. In addition, those of ordinary skill in the art can make various modifications in terms of particular implementation modes and the scope of application in accordance with the ideas of the present disclosure. In conclusion, the content of the description shall not be construed as limitations to the present disclosure.

Claims

26WHAT IS CLAIMED IS:

1. A computer device, comprising a memory, a processor, and a computer program stored on the memory and runnable on the processor, wherein the processor is configured to execute the computer program to implement steps of a method for dynamic calculation of a temper embrittlement damage factor, wherein the method comprises:obtaining historical operating conditions of to-be-assessed equipment in service in a set time period, wherein the set time period is time period between a closest moment and a current assessment moment; the closest moment is a historical test block testing moment of the to-be-assessed equipment closest to the current assessment moment; the historical operating conditions comprise an average of operating temperatures of the to-be-assessed equipment measured at a plurality of moments in each preset time and a serving time within the preset time; and the preset time is one of time intervals that constitute the set time period;calculating a predicted ductile-brittle FATT variation at the current assessment moment according to the historical operating conditions, an ex-factory ductile-brittle FATT variation, and a measured ductile-brittle FATT variation, whereinwhen the to-be-assessed equipment has ex-factory step cooling test data corresponding to a plurality of groups of tubular chromium-molybdenum steel materials, selecting a highest ductile-brittle FATT variation in the ex-factory step cooling test data as the ex-factory ductile-brittle FATT variation;when the to-be-assessed equipment has no historical test block test data, using a moment of putting the to-be-assessed equipment into use as the closest moment and letting the measured ductile-brittle FATT variation to the set value; andwhen the to-be-assessed equipment has actual measurement data of ductile-brittle FATT variations of a plurality of groups of test blocks at the closest moment, selecting a highest ductile-brittle FATT variation in the actual measurement data of ductile-brittle FATT variations as the measured ductile-brittle FATT variation; andcalculating a temper embrittlement damage factor by a table look-up method according to the predicted ductile-brittle FATT variation;wherein a calculation formula of the predicted ductile-brittle fracture appearance transition temperature (FATT) variation is as follows:JFATTcum = JFATTtest + £?=1 (^3 X JFATT(TZ)) X JFATTSC;) = lQ19.9279-0.03343Tj.JFATT(Ti)=10.4333-0.0188*7);16 04 26wherein JFATTCMm represents the predicted ductile-brittle FATT variation; JFATTtest represents the measured ductile-brittle FATT variation; dFATTsc represents the ex-factory ductile-brittle FATT variation; T represents the average of operating temperatures of the to-be-assessed equipment measured at the plurality of moments for an zth preset time; ti represents a serving time within the zth preset time; n represents a total number of preset times;represents a function of a saturated embrittlement time over Ti, and d FATT (7}) represents a function of a saturated embrittlement amount over T.

2. The computer device according to claim 1, wherein the method further comprises, after the calculating a temper embrittlement damage factor by a table look-up method according to the predicted ductile-brittle FATT variation:determining whether the to-be-assessed equipment is subjected to a new test block test to obtain a determination result;if the determination result is yes, updating the closest moment, the set time period, the historical operating conditions of the equipment in service in the set time period, and the measured ductile-brittle FATT variation; andusing next assessment moment as the new current assessment moment, and returning to the step of “calculating a predicted ductile-brittle FATT variation at the current assessment moment according to the historical operating conditions, an ex-factory ductile-brittle FATT variation, and a measured ductile-brittle FATT variation”.

3. A computer-readable storage medium, storing a computer program which, when executed by a processor, implements steps of a method for dynamic calculation of a temper embrittlement damage factor, wherein the method comprises:obtaining historical operating conditions of to-be-assessed equipment in service in a set time period, wherein the set time period is time period between a closest moment and a current assessment moment; the closest moment is a historical test block testing moment of the to-be-assessed equipment closest to the current assessment moment; the historical operating conditions comprise an average of operating temperatures of the to-be-assessed equipment measured at a plurality of moments in each preset time and a serving time within the preset time; and the preset time is one of time intervals that constitute the set time period;calculating a predicted ductile-brittle FATT variation at the current assessment moment according to the historical operating conditions, an ex-factory ductile-brittle FATT variation, and a measured ductile-brittle FATT variation, whereinwhen the to-be-assessed equipment has ex-factory step cooling test data corresponding16 04 26to a plurality of groups of tubular chromium-molybdenum steel materials, selecting a highest ductile-brittle FATT variation in the ex-factory step cooling test data as the ex-factory ductile-brittle FATT variation;when the to-be-assessed equipment has no historical test block test data, using a moment of putting the to-be-assessed equipment into use as the closest moment and letting the measured ductile-brittle FATT variation to the set value; andwhen the to-be-assessed equipment has actual measurement data of ductile-brittle FATT variations of a plurality of groups of test blocks at the closest moment, selecting a highest ductile-brittle FATT variation in the actual measurement data of ductile-brittle FATT variations as the measured ductile-brittle FATT variation; andcalculating a temper embrittlement damage factor by a table look-up method according to the predicted ductile-brittle FATT variation;wherein a calculation formula of the predicted ductile-brittle fracture appearance transition temperature (FATT) variation is as follows:4FATTcum = 4FATTtest + £?=1 (^3 X 4FATT(7))) X 4FATTSC;) = lQ19.9279-0.03343Tj.4FATT(7))=10.4333-0.0188*7);wherein 4FATTCMm represents the predicted ductile-brittle FATT variation; 4FATTtest represents the measured ductile-brittle FATT variation; dFATTsc represents the ex-factory ductile-brittle FATT variation; T represents the average of operating temperatures of the to-be-assessed equipment measured at the plurality of moments for an zth preset time; ti represents a serving time within the zth preset time; n represents a total number of preset times;represents a function of a saturated embrittlement time over Ti, and d FATT (7)) represents a function of a saturated embrittlement amount over T.

4. The computer-readable storage medium according to claim 3, wherein the method further comprises, after the calculating a temper embrittlement damage factor by a table look-up method according to the predicted ductile-brittle FATT variation:determining whether the to-be-assessed equipment is subjected to a new test block test to obtain a determination result;if the determination result is yes, updating the closest moment, the set time period, the historical operating conditions of the equipment in service in the set time period, and the measured ductile-brittle FATT variation; andusing next assessment moment as the new current assessment moment, and returning to the16 04 26step of “calculating a predicted ductile-brittle FATT variation at the current assessment moment according to the historical operating conditions, an ex-factory ductile-brittle FATT variation, and a measured ductile-brittle FATT variation”.

5. A computer program product, comprising a computer program which, when executed by a processor, implements steps of a method for dynamic calculation of a temper embrittlement damage factor, wherein the method comprises:obtaining historical operating conditions of to-be-assessed equipment in service in a set time period, wherein the set time period is time period between a closest moment and a current assessment moment; the closest moment is a historical test block testing moment of the to-be-assessed equipment closest to the current assessment moment; the historical operating conditions comprise an average of operating temperatures of the to-be-assessed equipment measured at a plurality of moments in each preset time and a serving time within the preset time; and the preset time is one of time intervals that constitute the set time period;calculating a predicted ductile-brittle FATT variation at the current assessment moment according to the historical operating conditions, an ex-factory ductile-brittle FATT variation, and a measured ductile-brittle FATT variation, whereinwhen the to-be-assessed equipment has ex-factory step cooling test data corresponding to a plurality of groups of tubular chromium-molybdenum steel materials, selecting a highest ductile-brittle FATT variation in the ex-factory step cooling test data as the ex-factory ductile-brittle FATT variation;when the to-be-assessed equipment has no historical test block test data, using a moment of putting the to-be-assessed equipment into use as the closest moment and letting the measured ductile-brittle FATT variation to the set value; andwhen the to-be-assessed equipment has actual measurement data of ductile-brittle FATT variations of a plurality of groups of test blocks at the closest moment, selecting a highest ductile-brittle FATT variation in the actual measurement data of ductile-brittle FATT variations as the measured ductile-brittle FATT variation; andcalculating a temper embrittlement damage factor by a table look-up method according to the predicted ductile-brittle FATT variation;wherein a calculation formula of the predicted ductile-brittle fracture appearance transition temperature (FATT) variation is as follows:JFATTcum = JFATTtest + £?=1 (^3 X JFATTC^)) X JFATTSC;tfT = 1 n19.9279-0.033431;.16 04 26JFATT(7})=10.4333-0.0188*7};wherein JFATTCMm represents the predicted ductile-brittle FATT variation; JFATTtest represents the measured ductile-brittle FATT variation; dFATTsc represents the ex-factory ductile-brittle FATT variation; T represents the average of operating temperatures of the to-be-assessed equipment measured at the plurality of moments for an zth preset time; ti represents a serving time within the zth preset time; n represents a total number of preset times;represents a function of a saturated embrittlement time over Ti, and d FATT (7}) represents a function of a saturated embrittlement amount over T.

6. The computer program product according to claim 5, wherein the method further comprises, after the calculating a temper embrittlement damage factor by a table look-up method according to the predicted ductile-brittle FATT variation:determining whether the to-be-assessed equipment is subjected to a new test block test to obtain a determination result;if the determination result is yes, updating the closest moment, the set time period, the historical operating conditions of the equipment in service in the set time period, and the measured ductile-brittle FATT variation; andusing next assessment moment as the new current assessment moment, and returning to the step of “calculating a predicted ductile-brittle FATT variation at the current assessment moment according to the historical operating conditions, an ex-factory ductile-brittle FATT variation, and a measured ductile-brittle FATT variation”.

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