CN115524021A - Pipeline weld joint heat treatment monitoring method - Google Patents
Pipeline weld joint heat treatment monitoring method Download PDFInfo
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- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
- G01K1/00—Details of thermometers not specially adapted for particular types of thermometer
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- G01—MEASURING; TESTING
- G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
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Abstract
The application relates to the technical field of pipeline welding, in particular to a pipeline welding seam heat treatment monitoring method. It specifically discloses: establishing a constructor database and a construction process database, acquiring real-time image information acquired by an image module, and judging whether the construction process of constructors is abnormal or not; acquiring welding seam parameters of a welded pipeline, dividing a plurality of monitoring subareas by a central monitoring module according to the product parameters, and installing temperature measuring elements according to the monitoring subareas; and acquiring temperature data acquired by the temperature measuring element according to a preset monitoring time axis, and judging whether the heat treatment process is abnormal or not. By adopting the inner and outer wall regional real-time monitoring technology. The temperature measuring elements are arranged on the inner wall and the outer wall of the welded joint, so that the wall temperature data of the welded joint in the heat treatment process can be monitored in the whole process and the whole section, the temperature distribution of the welded joint area is mastered, and the monitoring precision of the wall temperature of the post-welding heat treatment is improved.
Description
Technical Field
The application relates to the technical field of pipeline welding, in particular to a pipeline welding seam heat treatment monitoring method.
Background
With the increasingly strict national environmental protection requirements, high-parameter environmental-protection thermal power plants become development directions, the materials used by four pipelines of the thermal power plants are increasingly higher, the specifications are increasingly larger, and the technological requirements of welding and heat treatment are also increasingly strict. The traditional ceramic resistance heating mode is used for postweld heat treatment, so that the high-alloy thick-wall pipe has certain limitation, and the temperature difference between the inner wall and the outer wall of the pipe is large in the heating process, so that the heat treatment effect is poor. In addition, the heating time required by the traditional ceramic resistance heating for heat treatment is long, and certain influence is exerted on the project with short construction period. The heat treatment technology of the pipeline by utilizing the medium-frequency current electromagnetic induction heating principle can effectively solve the problems.
However, in the prior art, the heat treatment process of the pipeline welding seam cannot be comprehensively monitored, the temperature distribution of the welding joint area cannot be monitored in real time, the monitoring precision of the wall temperature of the welded heat treatment is not high, and a plurality of uncertain factors exist in quality control in the heat treatment process of the welding seam, so that the comprehensive monitoring cannot be carried out.
Disclosure of Invention
The purpose of this application is: in order to solve the technical problem, the application provides a pipeline weld seam heat treatment monitoring method to further master the temperature distribution of a welding joint area in the heat treatment process and improve the monitoring precision of the wall temperature of the post-welding heat treatment.
In some embodiments of the present application, the heat treatment is performed using a real-time monitoring technique of the inner and outer walls in different regions. The temperature measuring elements are arranged on the inner wall and the outer wall of the welded joint, the wall temperature data of the welded joint in the heat treatment process is monitored in the whole process and the whole section, the temperature distribution of the welded joint area is further mastered, and the monitoring precision of the wall temperature of the post-welding heat treatment is improved.
In some embodiments of the application, a monitoring time axis is set, and the monitoring early warning of a temperature rising section, a constant temperature section and a temperature reduction section is set, so that accurate monitoring in the heat treatment process is realized, and the real-time monitoring of the inner wall and the outer wall of the welding joint in a partition mode is realized by setting a monitoring point distance matrix.
In some embodiments of the application, the constructor database and the construction process database are established through setting, the early construction process of the heat treatment is effectively monitored through the image acquisition module, the problem occurring in the heat treatment process caused by operation problems is avoided, and the process quality is improved.
Some embodiments of the present application provide a method for monitoring heat treatment of a pipe weld, comprising:
the method comprises the following steps: establishing a constructor database and a construction process database, acquiring real-time image information acquired by an image module, and judging whether the construction process of constructors is abnormal or not;
step two: acquiring welding seam parameters of a welded pipeline, dividing a plurality of monitoring subareas by a central monitoring module according to the product parameters, and installing temperature measuring elements according to the monitoring subareas;
step three: and acquiring temperature data acquired by the temperature measuring element according to a preset monitoring time axis, and judging whether the heat treatment process is abnormal or not.
Wherein the monitoring timeline includes: a temperature rising section, a constant temperature section and a temperature reduction section.
In some embodiments of the present application, the second step comprises:
presetting a monitoring point distance matrix A, and setting A (A1, A2, A3, A4), wherein A1 is a first preset monitoring point distance, A2 is a second preset monitoring point distance, A3 is a third monitoring point distance, A4 is a fourth preset monitoring point distance, and A1 is more than A2 and more than A3 and less than A4;
setting a constant-temperature section early warning interval matrix B, and setting B (B1, B2, B3, B4), wherein B1 is a first preset constant-temperature section early warning interval, B2 is a second constant-temperature section early warning interval, B3 is a third constant-temperature section early warning interval, and B4 is a third constant-temperature section early warning interval;
acquiring a real-time monitoring distance a, and determining a real-time constant-temperature section early warning interval B according to the relation between a preset monitoring distance matrix A and a set constant-temperature section early warning interval matrix B, wherein the relation specifically comprises the following steps:
when a = A1, setting a first preset constant-temperature section early warning interval B1 as a real-time constant-temperature section early warning interval B;
when a = A2, setting a second preset constant-temperature section early warning interval B2 as a real-time constant-temperature section early warning interval B;
when a = A3, setting a third preset constant-temperature section early warning interval B3 as a real-time constant-temperature section early warning interval B;
and when a = A4, setting a fourth preset constant-temperature section early warning interval B4 as a real-time constant-temperature section early warning interval B.
Some embodiments of the present application include:
when the monitoring time point of the constant temperature section is reached, acquiring real-time constant temperature section temperature data of a monitoring point acquired by the temperature measuring element, and generating a first judgment result according to the real-time constant temperature section temperature data and the set real-time constant temperature section early warning interval b.
And generating a constant-temperature section early warning instruction according to the first judgment result.
In some embodiments of the present application, when generating the constant-temperature section early warning instruction according to the first determination result, the method includes:
presetting a first temperature difference value C1 and a second temperature difference value C2, wherein C1 is less than C2;
when the temperature of the real-time constant-temperature section is smaller than the lowest value of the early warning interval of the real-time constant-temperature section;
generating a low-temperature difference value c1 according to the real-time constant-temperature section temperature data and the lowest value of the constant-temperature section early warning interval;
if C1 is less than C1, no early warning instruction is generated;
if C1 is more than C1 and less than C2, generating a first-level low-temperature early warning instruction;
and if C1 is larger than C2, generating a secondary low-temperature early warning instruction.
When the temperature of the real-time constant-temperature section is greater than the highest value of the early warning interval of the real-time constant-temperature section;
generating a high-temperature difference value c2 according to the real-time constant-temperature section temperature data and the maximum value of the constant-temperature section early warning interval;
if C2 is less than C1, no early warning instruction is generated;
if C1 is more than C2 and less than C2, generating a first-level high-temperature early warning instruction;
and if C1 is larger than C2, generating a secondary high-temperature early warning instruction.
In some embodiments of the present application, the second step further comprises:
the temperature measuring elements are respectively arranged on the inner wall of the pipeline in the monitoring subarea and the inner wall of the pipeline.
In some embodiments of the present application, the second step further comprises:
presetting a heating speed difference matrix D, and setting D (D1, D2), wherein D1 is a first preset heating speed difference, D2 is a second preset heating speed difference, and D1 is less than D2;
when a temperature rise section monitoring time node is reached, acquiring real-time temperature rise section temperature data of a monitoring point acquired by a temperature measuring element, and generating a real-time temperature rise speed according to the real-time temperature rise section temperature data;
generating a temperature rise difference value d according to a preset temperature rise speed and a real-time temperature rise speed;
generating a warming section early warning instruction according to the relation between the warming difference D and a preset warming difference matrix D, wherein the warming section early warning instruction specifically comprises the following steps:
when D is less than D1, no early warning instruction is generated;
when D1 is more than D and less than D2, generating a primary heating early warning instruction;
and when D is larger than D2, generating a secondary temperature-rise early warning instruction.
In some embodiments of the present application, the second step further comprises:
presetting a cooling speed difference matrix E, and setting E (E1, E2), wherein E1 is a first preset cooling speed difference, E2 is a second preset cooling speed difference, and E1 is less than E2;
when a temperature reduction section monitoring time node is reached, acquiring real-time temperature reduction section temperature data of a monitoring point acquired by a temperature measuring element, and generating a real-time temperature reduction speed according to the real-time temperature reduction section temperature data;
generating a cooling difference value e according to a preset cooling speed and a real-time cooling speed;
according to the relation between the cooling difference E and the preset cooling difference matrix E, a cooling section early warning instruction is generated, and the method specifically comprises the following steps:
when E is less than E1, no early warning instruction is generated;
when E1 is more than E and less than E2, generating a primary cooling early warning instruction;
and when E is larger than E2, generating a secondary cooling early warning instruction.
In some embodiments of the present application, the first step comprises:
establishing a constructor database, comprising: construction personnel qualification information and construction personnel face information are generated, and a construction personnel information two-dimensional code is generated;
acquiring two-dimensional code data and face data of field constructors acquired by an image module, and judging whether the constructors are abnormal or not by a central monitoring module;
and if the two-dimension code information of the field constructors is not matched with the face information, generating abnormal early warning information of the constructors.
In some embodiments of the present application, the first step further comprises:
the construction process early warning method comprises the steps of acquiring construction process image data by an image acquisition module, judging whether personnel behaviors are illegal behaviors according to the acquired construction flow data, obtaining personnel behavior quantitative data values, and generating personnel early warning instructions according to the personnel behavior quantitative data values.
In some embodiments of the present application, when the personnel behavior quantitative data value generates the personnel early warning instruction, the method further includes:
presetting a first preset quantized personnel behavior data value and a second quantized personnel behavior data value, wherein the first preset quantized personnel behavior data value is larger than the second preset quantized personnel behavior data value;
when the real-time quantitative personnel behavior data value is larger than the first preset quantitative personnel behavior data value, the central monitoring module generates a personnel training instruction;
and when the real-time personnel behavior quantitative data value is larger than the second preset personnel behavior quantitative data value, the central monitoring module generates a behavior early warning instruction.
Compared with the prior art, the pipeline weld seam heat treatment monitoring method has the beneficial effects that:
the heat treatment adopts the inner wall and the outer wall regional real-time monitoring technology. The temperature measuring elements are arranged on the inner wall and the outer wall of the welded joint, so that the wall temperature data of the welded joint in the heat treatment process can be monitored in the whole process and the whole section, the temperature distribution of the welded joint area is mastered, and the monitoring precision of the wall temperature of the post-welding heat treatment is improved.
Through the monitoring and early warning of the temperature rising section, the constant temperature section and the temperature reduction section, accurate monitoring in the heat treatment process is achieved, and the partition real-time monitoring of the inner wall and the outer wall of the welded joint is achieved through the monitoring point distance matrix.
The constructor database and the construction process database are established through setting, the early construction process of heat treatment is effectively monitored through the image acquisition module, problems in the heat treatment process caused by operation problems are avoided, and the process quality is improved.
Drawings
Fig. 1 is a schematic flow chart of a method for monitoring heat treatment of a pipe weld in a preferred embodiment of the present application.
Detailed Description
The following detailed description of embodiments of the present application will be described in conjunction with the accompanying drawings and examples. The following examples are intended to illustrate the present application, but are not intended to limit the scope of the present application.
In the description of the present application, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience in describing the present application and simplifying the description, but do not indicate or imply that the referred device or element must have a particular orientation, be constructed in a particular orientation, and be operated, and thus should not be construed as limiting the present application.
The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, the meaning of "a plurality" is two or more unless otherwise specified.
In the description of the present application, it is to be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in this application will be understood to be a specific case for those of ordinary skill in the art.
As shown in fig. 1, a method for monitoring heat treatment of a pipe weld according to a preferred embodiment of the present application includes:
the method comprises the following steps: establishing a constructor database and a construction process database, acquiring real-time image information acquired by an image module, and judging whether the construction process of constructors is abnormal or not;
step two: acquiring welding seam parameters of a welded pipeline, dividing a plurality of monitoring subareas by a central monitoring module according to the product parameters, and installing temperature measuring elements according to the monitoring subareas;
step three: acquiring temperature data acquired by a temperature measuring element according to a preset monitoring time axis, and judging whether the heat treatment process is abnormal or not;
wherein the monitoring timeline includes: a temperature rising section, a constant temperature section and a temperature reduction section.
Specifically, the second step includes:
presetting a monitoring point distance matrix A, and setting A (A1, A2, A3, A4), wherein A1 is a first preset monitoring point distance, A2 is a second preset monitoring point distance, A3 is a third monitoring point distance, A4 is a fourth preset monitoring point distance, and A1 is more than A2 and more than A3 and less than A4;
setting a constant-temperature section early warning interval matrix B, and setting B (B1, B2, B3, B4), wherein B1 is a first preset constant-temperature section early warning interval, B2 is a second constant-temperature section early warning interval, B3 is a third constant-temperature section early warning interval, and B4 is a third constant-temperature section early warning interval;
acquiring a real-time monitoring distance a, and determining a real-time constant-temperature section early warning interval B according to the relation between a preset monitoring distance matrix A and a set constant-temperature section early warning interval matrix B, wherein the relation specifically comprises the following steps:
when a = A1, setting a first preset constant-temperature section early warning interval B1 as a real-time constant-temperature section early warning interval B;
when a = A2, setting a second preset constant-temperature section early-warning interval B2 as a real-time constant-temperature section early-warning interval B;
when a = A3, setting a third preset constant-temperature section early-warning interval B3 as a real-time constant-temperature section early-warning interval B;
and when a = A4, setting a fourth preset constant-temperature section early warning interval B4 as a real-time constant-temperature section early warning interval B.
Specifically, the monitoring point distances are respectively 0.5 times, 1 time, 1.5 times and 2 times of the wall thickness position from the welding seam.
Specifically, the temperature measuring elements are respectively arranged on the inner wall of the pipeline and the inner wall of the pipeline in the monitoring subarea.
It can be understood that, in the above embodiment, the inner and outer wall partition real-time monitoring technology is adopted, and the temperature measuring elements are arranged on the inner and outer walls of the welded joint, so that the wall temperature data of the welded joint in the heat treatment process can be monitored in the whole process and the whole section, the temperature distribution of the welded joint area is mastered, and the monitoring precision of the wall temperature of the post-welding heat treatment is improved.
In a preferred embodiment of the present application, the method includes:
when the monitoring time point of the constant temperature section is reached, acquiring real-time constant temperature section temperature data of a monitoring point acquired by the temperature measuring element, and generating a first judgment result according to the real-time constant temperature section temperature data and the set real-time constant temperature section early warning interval b.
Generating a constant-temperature section early warning instruction according to the first judgment result
Specifically, the method comprises the following steps:
presetting a first temperature difference value C1 and a second temperature difference value C2, wherein C1 is less than C2;
when the temperature of the real-time constant-temperature section is smaller than the lowest value of the early warning interval of the real-time constant-temperature section;
generating a low temperature difference value c1 according to the real-time constant temperature section temperature data and the lowest value of the constant temperature section early warning interval;
if C1 is less than C1, no early warning instruction is generated;
if C1 is larger than C1 and smaller than C2, generating a primary low-temperature early warning instruction;
and if C1 is larger than C2, generating a secondary low-temperature early warning instruction.
When the temperature of the real-time constant-temperature section is greater than the highest value of the early warning interval of the real-time constant-temperature section;
generating a high-temperature difference value c2 according to the real-time constant-temperature section temperature data and the maximum value of the constant-temperature section early warning interval;
if C2 is less than C1, no early warning instruction is generated;
if C1 is more than C2 and less than C2, generating a first-stage high-temperature early warning instruction;
and if C1 is larger than C2, generating a secondary high-temperature early warning instruction.
Specifically, a primary alert instruction.
Specifically, the primary instruction means that the equipment can work under the working condition, but the working condition is adjusted by a worker, and related data is acquired again after the adjustment for judgment.
Specifically, the secondary instruction means that the equipment cannot work under the condition, and the operation should be stopped immediately for inspection.
In a preferred embodiment of the present application, the second step further includes:
presetting a heating speed difference matrix D, and setting D (D1, D2), wherein D1 is a first preset heating speed difference, D2 is a second preset heating speed difference, and D1 is less than D2;
when a temperature rise section monitoring time node is reached, acquiring real-time temperature rise section temperature data of a monitoring point acquired by a temperature measuring element, and generating a real-time temperature rise speed according to the real-time temperature rise section temperature data;
generating a temperature rise difference value d according to a preset temperature rise speed and a real-time temperature rise speed;
generating a warming section early warning instruction according to the relation between the warming difference D and a preset warming difference matrix D, wherein the warming section early warning instruction specifically comprises the following steps:
when D is less than D1, no early warning instruction is generated;
when D1 is larger than D and smaller than D2, generating a first-stage temperature-rising early-warning instruction;
and when D is larger than D2, generating a secondary temperature-rise early warning instruction.
Presetting a cooling speed difference matrix E, and setting E (E1, E2), wherein E1 is a first preset cooling speed difference, E2 is a second preset cooling speed difference, and E1 is less than E2;
when a temperature reduction section monitoring time node is reached, acquiring real-time temperature reduction section temperature data of a monitoring point acquired by a temperature measuring element, and generating a real-time temperature reduction speed according to the real-time temperature reduction section temperature data;
generating a cooling difference value e according to a preset cooling speed and a real-time cooling speed;
according to the relation between the cooling difference E and the preset cooling difference matrix E, a cooling section early warning instruction is generated, and the method specifically comprises the following steps:
when E is less than E1, no early warning instruction is generated;
when E1 is more than E and less than E2, generating a first-level cooling early warning instruction;
and when E is greater than E2, generating a secondary cooling early warning instruction.
Specifically, when medium-frequency induction heating is adopted, the preset temperature rise speed is 8000/wall thickness, and the preset temperature reduction speed is 6250/wall thickness. The temperature rising and reducing speed is less than or equal to 300 ℃/h. When the wall thickness is more than 100mm, the temperature rising speed and the temperature reducing speed are controlled according to 60 ℃/h;
specifically, the temperature increasing section monitoring time node is when the temperature increases to 300 ℃, and the temperature decreasing section monitoring time node is when the temperature decreases to 300 ℃.
Specifically, the primary temperature-rise early warning instruction and the primary temperature-fall early warning instruction are that the equipment can work under the working condition, but the working condition needs to be adjusted by a worker, and relevant data is obtained again after the adjustment for judgment.
Specifically, the secondary temperature rise early warning instruction and the secondary temperature fall early warning instruction are that the equipment cannot work under the condition, and the equipment should stop working immediately and be overhauled.
In a preferred embodiment of the present application, the first step includes:
establishing a constructor database, comprising: construction personnel qualification information and construction personnel face information are generated, and a construction personnel information two-dimensional code is generated;
acquiring two-dimensional code data and face data of field constructors acquired by an image module, and judging whether the constructors are abnormal or not by a central monitoring module;
and if the two-dimension code information of the site constructors is not matched with the face information, generating abnormal early warning information of the constructors.
The construction process early warning method comprises the steps of acquiring construction process image data by an image acquisition module, judging whether personnel behaviors are illegal behaviors according to the acquired construction flow data, obtaining personnel behavior quantitative data values, and generating personnel early warning instructions according to the personnel behavior quantitative data values.
Specifically, when the personnel behavior quantitative data value generates a personnel early warning instruction, the method includes:
presetting a first preset quantized personnel behavior data value and a second quantized personnel behavior data value, wherein the first preset quantized personnel behavior data value is larger than the second preset quantized personnel behavior data value;
when the real-time personnel behavior quantitative data value is larger than the first preset personnel behavior quantitative data value, the central monitoring module generates a personnel training instruction;
and when the real-time personnel behavior quantitative data value is larger than the second preset personnel behavior quantitative data value, the central monitoring module generates a behavior early warning instruction.
Specifically, the construction process data is historical data generation, which comprises construction sequence, construction cautions, constructor operation specifications, behavior specifications and the like;
specifically, video monitoring is arranged on a construction site to realize full coverage, site dynamic is monitored in an all-around and 24-hour real-time manner, image data of specific construction actions of site constructors are collected through an image collection module, the collected image data are processed and then compared with construction flow data, whether the construction process of the site constructors meets the specifications or not is judged, and whether violation behaviors exist in the constructors or not is obtained.
Particularly, the image acquisition module can completely record the construction process and the construction action of constructors through omnibearing monitoring.
Specifically, the real-time personnel behavior quantitative data value is determined in a manner that the central monitoring module processes the acquired image data according to a comparison result between the acquired image data and the construction process data, scores the acquired image data according to a preset evaluation standard, and determines the real-time personnel behavior quantitative data value according to the scores of the acquired image data.
For example, when the construction process is divided into several steps, such as the steps which are not executed in the construction process, one step is lacked to deduct 5 points, and 10 points are lacked for important steps.
The above is only an example, the construction site may set an evaluation criterion according to an actual construction situation, and designate a corresponding deduction item, so as to obtain a real-time quantitative data value of the constructor behavior.
And finally accumulating the deductions, wherein the obtained value is a real-time personnel behavior quantitative data value.
Specifically, the smaller the real-time personnel behavior quantitative data value is, the more the construction process is in compliance, and the larger the real-time personnel behavior quantitative data value is, the more the violation behaviors exist in the construction process are.
According to a first concept of the application, the heat treatment adopts a real-time monitoring technology of inner and outer wall subareas. The temperature measuring elements are arranged on the inner wall and the outer wall of the welding joint, the wall temperature data of the welding joint in the heat treatment process is monitored in the whole process and the whole section, the temperature distribution of the welding joint area is further mastered, and the monitoring precision of the wall temperature of the post-welding heat treatment is improved.
According to the second concept of the application, the monitoring time axis is set, the monitoring early warning of the temperature rising section, the constant temperature section and the temperature reduction section is set, accurate monitoring in the heat treatment process is achieved, and the real-time monitoring of the inner wall and the outer wall of the welding joint in a partition mode is achieved by setting the monitoring point distance matrix.
According to the third concept of the application, the constructor database and the construction process database are established through setting, the early construction process of heat treatment is effectively monitored through the image acquisition module, the problem of the heat treatment process caused by operation problems is avoided, and the process quality is improved.
The foregoing is only a preferred embodiment of the present application, and it should be noted that, for those skilled in the art, several modifications and substitutions can be made without departing from the technical principle of the present application, and these modifications and substitutions should also be regarded as the protection scope of the present application.
Claims (10)
1. A method for monitoring heat treatment of a pipeline weld joint is characterized by comprising the following steps:
the method comprises the following steps: establishing a constructor database and a construction process database, acquiring real-time image information acquired by an image module, and judging whether the construction process of constructors is abnormal or not;
step two: acquiring welding seam parameters of a welded pipeline, dividing a plurality of monitoring sub-areas by a central monitoring module according to the product parameters, and installing temperature measuring elements according to the monitoring sub-areas;
step three: acquiring temperature data acquired by a temperature measuring element according to a preset monitoring time axis, and judging whether the heat treatment process is abnormal or not;
wherein the monitoring timeline includes: a temperature rising section, a constant temperature section and a temperature reduction section.
2. The method for monitoring heat treatment of the pipe weld according to claim 1, wherein the second step comprises:
presetting a monitoring point distance matrix A, and setting A (A1, A2, A3, A4), wherein A1 is a first preset monitoring point distance, A2 is a second preset monitoring point distance, A3 is a third monitoring point distance, A4 is a fourth preset monitoring point distance, and A1 is more than A2 and more than A3 and less than A4;
setting a constant-temperature section early warning interval matrix B, and setting B (B1, B2, B3, B4), wherein B1 is a first preset constant-temperature section early warning interval, B2 is a second constant-temperature section early warning interval, B3 is a third constant-temperature section early warning interval, and B4 is a third constant-temperature section early warning interval;
acquiring a real-time monitoring distance a, and determining a real-time constant-temperature section early warning interval B according to the relation between a preset monitoring distance matrix A and a set constant-temperature section early warning interval matrix B, wherein the relation specifically comprises the following steps:
when a = A1, setting a first preset constant-temperature section early warning interval B1 as a real-time constant-temperature section early warning interval B;
when a = A2, setting a second preset constant-temperature section early warning interval B2 as a real-time constant-temperature section early warning interval B;
when a = A3, setting a third preset constant-temperature section early warning interval B3 as a real-time constant-temperature section early warning interval B;
and when a = A4, setting a fourth preset constant-temperature section early warning interval B4 as a real-time constant-temperature section early warning interval B.
3. The method for monitoring heat treatment of the pipe weld according to claim 2, wherein the third step comprises:
when a constant-temperature section monitoring time point is reached, acquiring real-time constant-temperature section temperature data of a monitoring point acquired by a temperature measuring element, and generating a first judgment result according to the real-time constant-temperature section temperature data and a set real-time constant-temperature section early warning interval b;
and generating a constant-temperature section early warning instruction according to the first judgment result.
4. The method for monitoring the heat treatment of the pipe welding seam according to claim 3, wherein when the constant-temperature section early warning command is generated according to the first judgment result, the method comprises the following steps:
presetting a first temperature difference value C1 and a second temperature difference value C2, wherein C1 is less than C2;
when the temperature of the real-time constant-temperature section is lower than the lowest value of the early warning interval of the real-time constant-temperature section;
generating a low-temperature difference value c1 according to the real-time constant-temperature section temperature data and the lowest value of the constant-temperature section early warning interval;
if C1 is less than C1, no early warning instruction is generated;
if C1 is more than C1 and less than C2, generating a first-level low-temperature early warning instruction;
if C1 is larger than C2, generating a secondary low-temperature early warning instruction;
when the temperature of the real-time constant-temperature section is greater than the highest value of the early warning interval of the real-time constant-temperature section;
generating a high-temperature difference value c2 according to the real-time constant-temperature section temperature data and the maximum value of the constant-temperature section early warning interval;
if C2 is less than C1, no early warning instruction is generated;
if C1 is more than C2 and less than C2, generating a first-stage high-temperature early warning instruction;
and if C1 is larger than C2, generating a secondary high-temperature early warning instruction.
5. The method for monitoring heat treatment of the pipe weld according to claim 4, wherein the second step further comprises:
the temperature measuring elements are respectively arranged on the inner wall of the pipeline and the inner wall of the pipeline in the monitoring subarea.
6. The method for monitoring heat treatment of the pipe weld according to claim 1, wherein the second step further comprises:
presetting a heating speed difference matrix D, and setting D (D1, D2), wherein D1 is a first preset heating speed difference, D2 is a second preset heating speed difference, and D1 is less than D2;
when a temperature rise section monitoring time node is reached, acquiring real-time temperature rise section temperature data of a monitoring point acquired by a temperature measuring element, and generating a real-time temperature rise speed according to the real-time temperature rise section temperature data;
generating a temperature rise difference d according to a preset temperature rise speed and a real-time temperature rise speed;
generating a warming section early warning instruction according to the relation between the warming difference D and a preset warming difference matrix D, wherein the method specifically comprises the following steps:
when D is less than D1, no early warning instruction is generated;
when D1 is more than D and less than D2, generating a primary heating early warning instruction;
and when D is greater than D2, generating a secondary temperature-rise early-warning instruction.
7. The method for monitoring heat treatment of the pipe weld according to claim 1, wherein the second step further comprises:
presetting a cooling speed difference matrix E, and setting E (E1, E2), wherein E1 is a first preset cooling speed difference, E2 is a second preset cooling speed difference, and E1 is less than E2;
when a temperature reduction section monitoring time node is reached, acquiring real-time temperature reduction section temperature data of a monitoring point acquired by a temperature measuring element, and generating a real-time temperature reduction speed according to the real-time temperature reduction section temperature data;
generating a cooling difference value e according to a preset cooling speed and a real-time cooling speed;
according to the relation between the cooling difference E and the preset cooling difference matrix E, a cooling section early warning instruction is generated, and the method specifically comprises the following steps:
when E is less than E1, no early warning instruction is generated;
when E1 is more than E and less than E2, generating a first-level cooling early warning instruction;
and when E is larger than E2, generating a secondary cooling early warning instruction.
8. The method for monitoring heat treatment of a pipe weld according to any one of claims 1 to 7, wherein the first step comprises:
establishing a constructor database, comprising: construction personnel qualification information and construction personnel face information are generated, and a construction personnel information two-dimensional code is generated;
acquiring two-dimensional code data and face data of field constructors acquired by an image module, and judging whether the constructors are abnormal or not by a central monitoring module;
and if the two-dimension code information of the site constructors is not matched with the face information, generating abnormal early warning information of the constructors.
9. The method for monitoring heat treatment of a pipe weld of claim 8, wherein step one further comprises:
the construction process early warning method comprises the steps of acquiring construction process image data by an image acquisition module, judging whether personnel behaviors are illegal behaviors according to the acquired construction flow data, obtaining personnel behavior quantitative data values, and generating personnel early warning instructions according to the personnel behavior quantitative data values.
10. The method for monitoring heat treatment of the pipe weld according to claim 9, wherein when the personnel behavior quantitative data value generates a personnel early warning command, the method further comprises the following steps:
presetting a first preset quantized personnel behavior data value and a second quantized personnel behavior data value, wherein the first preset quantized personnel behavior data value is larger than the second preset quantized personnel behavior data value;
when the real-time personnel behavior quantitative data value is larger than the first preset personnel behavior quantitative data value, the central monitoring module generates a personnel training instruction;
and when the real-time personnel behavior quantitative data value is larger than the second preset personnel behavior quantitative data value, the central monitoring module generates a behavior early warning instruction.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115993153A (en) * | 2023-03-24 | 2023-04-21 | 江苏新恒基特种装备股份有限公司 | Stainless steel heat treatment standard monitoring system and method based on image recognition |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115993153A (en) * | 2023-03-24 | 2023-04-21 | 江苏新恒基特种装备股份有限公司 | Stainless steel heat treatment standard monitoring system and method based on image recognition |
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