CN113959930B - Static equipment corrosion monitoring method, device and medium - Google Patents

Static equipment corrosion monitoring method, device and medium Download PDF

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CN113959930B
CN113959930B CN202111077229.1A CN202111077229A CN113959930B CN 113959930 B CN113959930 B CN 113959930B CN 202111077229 A CN202111077229 A CN 202111077229A CN 113959930 B CN113959930 B CN 113959930B
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corrosion
static
static equipment
monitoring
temperature
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CN113959930A (en
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杨慧兵
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Shenzhen Huineng Smart Connection Science & Technology Co ltd
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Shenzhen Huineng Smart Connection Science & Technology Co ltd
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    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N17/00Investigating resistance of materials to the weather, to corrosion, or to light
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E30/00Energy generation of nuclear origin
    • Y02E30/30Nuclear fission reactors

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Abstract

The invention discloses a static equipment corrosion monitoring method, a device and a medium, wherein the static equipment comprises a shell, the outer wall of the shell is divided into a plurality of monitoring areas, each monitoring area is provided with a temperature sensor, and the static equipment corrosion monitoring method comprises the following steps: determining the surface temperature corresponding to each monitoring area according to the detection data of the temperature sensor; acquiring structural parameters of the shell, medium parameters stored in the static equipment and starting-up running time of the static equipment; and determining the corrosion thickness corresponding to each monitoring area according to the surface temperature, the structural parameters of the shell, the medium parameters stored in the static equipment and the startup running time of the static equipment. The technical problem of inconvenient to the control of quiet equipment corrosion condition among the prior art has been solved, the convenience of quiet equipment corrosion monitoring has been improved.

Description

Static equipment corrosion monitoring method, device and medium
Technical Field
The invention relates to the technical field of corrosion protection of static equipment, in particular to a static equipment corrosion monitoring method, a static equipment corrosion monitoring device and a static equipment corrosion monitoring medium.
Background
At present, the temperature field monitoring of static equipment in petrochemical industry does not adopt an online monitoring mode, whether the equipment is refined or mainly depends on manual periodic inspection, and when the weather is severe, the equipment adopts a handheld infrared thermometer or a portable infrared thermal imager, so that great personnel potential safety hazards exist. Moreover, because of different inspection personnel, the accuracy of the measurement data has certain deviation from the repeatability of the measurement part and the proficiency of the skill of the measurement personnel. The data can bring great difficulty to the subsequent fault analysis of the static equipment, and the fault points and the analysis of the fault reasons are difficult to accurately locate; because of the time interval of manual inspection, real-time monitoring of static equipment cannot be realized. And because of the severe internal working conditions of high temperature, high pressure and high corrosion of the working medium in the static equipment, corresponding sensing components cannot be installed in the static equipment, so that the monitoring of the corrosion condition of the static equipment is inconvenient.
Disclosure of Invention
The embodiment of the invention aims to solve the technical problem of inconvenient monitoring of corrosion conditions of static equipment in the prior art by providing a method, a device and a medium for monitoring the corrosion of the static equipment.
To achieve the above object, an embodiment of the present invention provides a method for monitoring corrosion of a static apparatus, the static apparatus including a housing, an outer wall of the housing being divided into a plurality of monitoring areas, each monitoring area being provided with a temperature sensor, the method for monitoring corrosion of a static apparatus including:
determining the surface temperature corresponding to each monitoring area according to the detection data of the temperature sensor;
acquiring structural parameters of the shell, medium parameters stored in the static equipment and starting-up running time of the static equipment;
and determining the corrosion thickness corresponding to each monitoring area according to the surface temperature, the structural parameters of the shell, the medium parameters stored in the static equipment and the startup running time of the static equipment.
Optionally, before the step of determining the corrosion thickness corresponding to each monitoring area according to the surface temperature, the structural parameter of the shell, the medium parameter stored in the static device and the start-up running time of the static device, the method further includes:
acquiring a pre-stored calculation weight;
the step of determining the corrosion thickness corresponding to each monitoring area according to the surface temperature, the structural parameters of the shell, the medium parameters stored in the static equipment and the startup running time of the static equipment comprises the following steps:
and determining the corrosion thickness corresponding to each monitoring area according to the pre-stored calculation weight, the surface temperature, the structural parameters of the shell, the medium parameters stored in the static equipment and the starting-up running time of the static equipment.
Optionally, after the step of determining the corrosion thickness corresponding to each monitoring area according to the surface temperature, the structural parameter of the shell, the medium parameter stored in the static device and the start-up running time of the static device, the method further includes:
and outputting corrosion abnormality early warning information when the corrosion thickness corresponding to at least one monitoring area is greater than or equal to a preset thickness.
Optionally, after the step of determining the corrosion thickness corresponding to each monitoring area according to the surface temperature, the structural parameter of the shell, the medium parameter stored in the static device and the start-up running time of the static device, the method further includes:
determining the temperature change rate in the history preset time period;
determining a reference corrosion rate according to the historical temperature change rate and the mapping relation between the temperature and the corrosion thickness;
and carrying out corrosion early warning on the static equipment according to the reference corrosion rate.
Optionally, the step of performing corrosion pre-warning on the static device according to the reference corrosion rate includes:
acquiring real-time surface temperature and determining real-time temperature change rate;
determining a real-time corrosion rate according to the real-time temperature change rate and the mapping relation between the temperature and the corrosion thickness;
and outputting corrosion abnormality prompt information when the difference between the real-time corrosion rate and the reference corrosion rate is larger than a preset threshold value.
Optionally, the step of determining the historical temperature change rate within the historical preset time period includes:
acquiring surface temperature data within a history preset time period;
and determining the historical temperature change rate according to the surface temperature data in the historical preset time.
Optionally, the step of determining the reference corrosion rate according to the historical temperature change rate and the mapping between the temperature and the corrosion thickness comprises:
generating a reference temperature change curve of the surface temperature within a preset time period according to the historical temperature change rate;
and determining the corrosion rate according to the reference temperature change curve, wherein the corrosion rate is higher as the slope of the reference temperature change curve is larger.
Optionally, before the step of determining the reference corrosion rate according to the historical temperature change rate and the mapping relationship between the temperature and the corrosion thickness, the method further comprises:
acquiring the surface temperature corresponding to each monitoring area and the corrosion thickness corresponding to the surface temperature;
and determining the mapping relation between the surface temperature and the corrosion thickness corresponding to the surface temperature.
In order to achieve the above object, an embodiment of the present invention further provides a static equipment corrosion monitoring device, which includes a memory, a processor, and a static equipment corrosion monitoring program stored in the memory and capable of running on the processor, where the processor implements the method as described above when executing the static equipment corrosion monitoring program.
To achieve the above object, an embodiment of the present invention further provides a computer-readable storage medium storing a static equipment corrosion monitoring program, which when executed by a processor, implements the method as described above.
According to the static equipment corrosion monitoring method, device and medium provided by the embodiment of the invention, temperature sensors are respectively arranged in a plurality of monitoring areas on the outer wall of the static equipment shell, and the static equipment corrosion monitoring device acquires the surface temperature of the static equipment in each monitoring area of the static equipment, the structural parameters of the static equipment shell, the medium parameters in the static equipment and the startup running time of the static equipment; and determining the corrosion thickness corresponding to each monitoring area according to the surface temperature, the structural parameters of the shell, the medium parameters stored in the static equipment and the startup running time of the static equipment. Therefore, the temperature sensor is directly arranged on the outer wall of the static equipment shell to acquire temperature data, the corrosion thickness of the static equipment shell is determined according to the surface temperature, and when at least one corrosion thickness in each monitoring area is larger than or equal to the preset corrosion thickness, corrosion abnormality early warning information is output, so that the convenience of static equipment corrosion monitoring is improved.
Drawings
FIG. 1 is a schematic diagram of a device architecture of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of a static equipment corrosion monitoring method of the present invention;
FIG. 3 is a schematic flow chart of a second embodiment of the static equipment corrosion monitoring method of the present invention;
FIG. 4 is a schematic flow chart of a third embodiment of a static equipment corrosion monitoring method according to the present invention;
FIG. 5 is a flow chart of a fourth embodiment of the static equipment corrosion monitoring method of the present invention;
FIG. 6 is a schematic diagram of the temperature change curve in the static equipment corrosion monitoring method of the present invention.
Detailed Description
In order that the above-described aspects may be better understood, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As one implementation, the static equipment corrosion monitoring device may be as shown in fig. 1.
The embodiment of the invention relates to a static equipment corrosion monitoring device, which comprises: a processor 101, such as a CPU, a memory 102, and a communication bus 103. Wherein the communication bus 103 is used to enable connected communication among the components.
The memory 102 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. As shown in FIG. 1, a static equipment corrosion monitor program may be included in memory 102, which is a computer storage medium; and the processor 101 may be configured to invoke the static equipment corrosion monitor program stored in the memory 102 and perform the following operations:
determining the surface temperature corresponding to each monitoring area according to the detection data of the temperature sensor;
acquiring structural parameters of the shell, medium parameters stored in the static equipment and starting-up running time of the static equipment;
and determining the corrosion thickness corresponding to each monitoring area according to the surface temperature, the structural parameters of the shell, the medium parameters stored in the static equipment and the startup running time of the static equipment.
In one embodiment, the processor 101 may be configured to call a static equipment corrosion monitor program stored in the memory 102 and perform the following operations:
acquiring a pre-stored calculation weight;
and determining the corrosion thickness corresponding to each monitoring area according to the pre-stored calculation weight, the surface temperature, the structural parameters of the shell, the medium parameters stored in the static equipment and the starting-up running time of the static equipment.
In one embodiment, the processor 101 may be configured to call a static equipment corrosion monitor program stored in the memory 102 and perform the following operations:
and outputting corrosion abnormality early warning information when the corrosion thickness corresponding to at least one monitoring area is greater than or equal to a preset thickness.
In one embodiment, the processor 101 may be configured to call a static equipment corrosion monitor program stored in the memory 102 and perform the following operations:
determining the temperature change rate in the history preset time period;
determining a reference corrosion rate according to the historical temperature change rate and the mapping relation between the temperature and the corrosion thickness;
and carrying out corrosion early warning on the static equipment according to the reference corrosion rate.
In one embodiment, the processor 101 may be configured to call a static equipment corrosion monitor program stored in the memory 102 and perform the following operations:
acquiring real-time surface temperature and determining real-time temperature change rate;
determining a real-time corrosion rate according to the real-time temperature change rate and the mapping relation between the temperature and the corrosion thickness;
and outputting corrosion abnormality prompt information when the difference between the real-time corrosion rate and the reference corrosion rate is larger than a preset threshold value.
In one embodiment, the processor 101 may be configured to call a static equipment corrosion monitor program stored in the memory 102 and perform the following operations:
acquiring surface temperature data within a history preset time period;
and determining the historical temperature change rate according to the surface temperature data in the historical preset time.
In one embodiment, the processor 101 may be configured to call a static equipment corrosion monitor program stored in the memory 102 and perform the following operations:
generating a reference temperature change curve of the surface temperature within a preset time period according to the historical temperature change rate;
and determining the corrosion rate according to the reference temperature change curve, wherein the corrosion rate is higher as the slope of the reference temperature change curve is larger.
In one embodiment, the processor 101 may be configured to call a static equipment corrosion monitor program stored in the memory 102 and perform the following operations:
acquiring the surface temperature corresponding to each monitoring area and the corrosion thickness corresponding to the surface temperature;
and determining the mapping relation between the surface temperature and the corrosion thickness corresponding to the surface temperature.
In the technical scheme provided by the embodiment, temperature sensors are respectively arranged in a plurality of monitoring areas on the outer wall of the static equipment shell, and the static equipment corrosion monitoring device acquires the surface temperature of the static equipment in each monitoring area of the static equipment, the structural parameters of the static equipment shell, the medium parameters in the static equipment and the startup running time of the static equipment; and determining the corrosion thickness corresponding to each monitoring area according to the surface temperature, the structural parameters of the shell, the medium parameters stored in the static equipment and the startup running time of the static equipment. Therefore, the temperature sensor is directly arranged on the outer wall of the static equipment shell to acquire temperature data, the corrosion thickness of the static equipment shell is determined according to the surface temperature, and when at least one corrosion thickness in each monitoring area is larger than or equal to the preset corrosion thickness, corrosion abnormality early warning information is output, so that the convenience of static equipment corrosion monitoring is improved.
Based on the hardware framework of the static equipment corrosion monitoring device, the embodiment of the static equipment corrosion monitoring method is provided.
Referring to fig. 2, fig. 2 is a first embodiment of a static equipment corrosion monitoring method according to the present invention, the static equipment includes a housing, an outer wall of the housing is divided into a plurality of monitoring areas, each monitoring area is provided with a temperature sensor, and the static equipment corrosion monitoring method includes the following steps:
in this embodiment, the static device may be a static device in oil refining and chemical industries, such as a reactor, a regenerator, and an air cooler. At present, corrosion monitoring of static equipment in petrochemical industry mainly depends on manual inspection, and a handheld infrared thermometer is used for detecting some problems on the static equipment, but manual detection has potential safety hazards and can only detect specific areas, and detection of a whole device cannot be realized, so that measurement is inaccurate and inconvenient. In this embodiment, the temperature sensor is used to collect the temperature of the casing of the static device to monitor the corrosion degree of the casing of the static device, and since the medium inside the static device is generally high temperature, high pressure and high corrosiveness, the detection device cannot be directly arranged inside to monitor the corrosion parameters of the static device, but only the temperature sensor can be arranged at the pipe opening and/or on the outer wall of the static device to indirectly measure. The medium in the static equipment can corrode the shell of the static equipment, and if the corrosion thickness is larger, namely the residual thickness of the shell is smaller, the temperature value detected in the corresponding area of the outer wall of the static equipment is higher. In order to more comprehensively understand the corrosion condition of the wall of the static device, a plurality of temperature sensors are required to be arranged in different areas on the outer wall of the static device so as to acquire temperature field data of each area, thereby accurately determining the corrosion position of the outer wall of the static device according to the position information in the temperature field data and determining the corrosion degree of the outer wall of the static device according to the temperature value information in the temperature field data.
Step S10, determining the surface temperature corresponding to each monitoring area according to the detection data of the temperature sensor;
the monitoring areas are distributed at different positions of the static equipment, such as an upper inclined tube of a semi-regenerative inclined tube, a lower inclined tube of the semi-regenerative inclined tube, a thermocouple of a two-second northwest angle combustion oil nozzle, a transitional section annular welding seam, a regenerative inclined tube expansion joint, the upper parts of two-second southwest side manholes and the like. The temperature sensor is a device capable of acquiring temperature field data, the position information is coordinate information, such as an X coordinate and a Y coordinate, and the temperature value is a temperature value corresponding to the coordinate information.
Step S20, obtaining structural parameters of the shell, medium parameters stored in the static equipment and startup running time of the static equipment;
the surface temperature may be temperature field data. The structural parameters include the original thickness of the shell, the thermal conductivity of the material of the shell, etc. The medium stored in the static equipment can be high-temperature, high-pressure and high-corrosion medium, such as oil gas, flue gas, catalyst and the like, wherein the high temperature can reach 720 degrees, the high pressure can reach 0.35MPa, and the medium parameters comprise the flow rate of the internal medium, the density of the medium, the enthalpy value of the medium and the like. And the equipment starting-up operation time is the time from the start of the static equipment to the current operation. Alternatively, the original thickness of the housing may be 32 millimeters, the material may be a carbon steel material, and the thermal conductivity of the material may be 29.7W/(m.°c).
And step S30, determining the corresponding corrosion thickness of each monitoring area according to the surface temperature, the structural parameters of the shell, the medium parameters stored in the static equipment and the starting-up running time of the static equipment.
It will be appreciated that the more the static housing is corroded, the thinner the housing residual thickness, and the higher the temperature value detected by the temperature sensor provided on the outer wall of the static housing, so that the corrosion thickness of each monitoring area can be determined according to the surface temperature of the static housing.
Optionally, when the corrosion thickness corresponding to at least one monitoring area is greater than or equal to a preset thickness, outputting corrosion abnormality early warning information.
The preset thickness can be set according to the actual condition of the static equipment. The early warning information can be prompted in the forms of characters, audio frequency, warning lamps and the like so as to prompt a user to take corresponding measures for the current corrosion condition.
In the technical scheme provided by the embodiment, temperature sensors are respectively arranged in a plurality of monitoring areas on the outer wall of a static equipment shell, and a static equipment corrosion monitoring device determines the surface temperature corresponding to each monitoring area according to the detection data of the temperature sensors; acquiring structural parameters of the shell, medium parameters stored in the static equipment and starting-up running time of the static equipment; and determining the corrosion thickness corresponding to each monitoring area according to the surface temperature, the structural parameters of the shell, the medium parameters stored in the static equipment and the startup running time of the static equipment. Therefore, the temperature sensor is directly arranged on the outer wall of the static equipment shell to obtain surface temperature data, the corrosion thickness of the static equipment shell is calculated according to the surface temperature and prestored static equipment parameters, and when at least one corrosion thickness in each monitoring area is larger than or equal to the preset corrosion thickness, corrosion abnormality early warning information is output, so that the convenience of static equipment corrosion monitoring is improved.
Referring to fig. 3, fig. 3 is a second embodiment of the static equipment corrosion monitoring method according to the present invention, based on the first embodiment, the step S30 further includes:
step S31, obtaining a pre-stored calculation weight;
the step S30 includes:
and S32, determining the corresponding corrosion thickness of each monitoring area according to the pre-stored calculated weight, the surface temperature, the structural parameters of the shell, the medium parameters stored in the static equipment and the starting-up running time of the static equipment.
Optionally, the pre-stored calculation weight, the surface temperature, the structural parameter of the shell, the medium parameter stored in the static device and the start-up running time of the static device are processed through a preset formula to obtain the corrosion thickness corresponding to each monitoring area, wherein the preset formula is Δt=ts- { (t×f×e×α)/(c×tm) } β, Δt is the corrosion thickness of the outer wall of the static device, ts is the original thickness of the outer wall of the shell of the static device, T is the start-up running time of the static device, F is the flow of the medium in the static device, ρ is the density of the medium in the static device, E is the enthalpy value of the medium in the static device, C is the heat conductivity coefficient of the outer wall material of the static device, and Tm is the surface temperature of the outer wall of the static device. And alpha and beta are preset weighted values.
Alternatively, the preset weight α may be 0.23, and the preset weight β may be 100. The preset weighting value is extracted based on historical data in a preset historical time, is a correction value, is obtained by carrying out big data learning on different static devices, and is a correction value for the reactor in the embodiment.
Optionally, when the corrosion thickness corresponding to at least one monitoring area is greater than or equal to a preset thickness, outputting corrosion abnormality early warning information.
In the technical scheme provided by the embodiment, a static equipment corrosion monitoring device acquires a pre-stored calculation weight; and determining the corrosion thickness corresponding to each monitoring area according to the pre-stored calculation weight, the surface temperature, the structural parameters of the shell, the medium parameters stored in the static equipment and the starting-up running time of the static equipment. The corrosion thickness of the static equipment shell is calculated by integrating the structural parameters of the static equipment shell, the medium parameters in the static equipment, the startup running time of the static equipment, the surface temperature of the static equipment and the preset weighting value, so that the accuracy of static equipment corrosion monitoring is improved.
Referring to fig. 4, fig. 4 is a third embodiment of the static equipment corrosion monitoring method according to the present invention, and after the step S30, further includes:
step S40, determining the temperature change rate in the history preset duration;
optionally, the step S40 includes: acquiring surface temperature data within a history preset time period;
and determining the historical temperature change rate according to the surface temperature data in the historical preset time.
The static equipment corrosion monitoring data within the historical preset time period can be static equipment corrosion monitoring data in the previous day or month or year. The historical temperature change rate is a temperature change value in the historical preset time period divided by the historical preset time period.
S50, determining a reference corrosion rate according to the historical temperature change rate and the mapping relation between the temperature and the corrosion thickness;
optionally, before the step S50, the method further includes: acquiring the surface temperature corresponding to each monitoring area and the corrosion thickness corresponding to the surface temperature;
and determining a mapping relation between the surface temperature and the corrosion thickness corresponding to the surface temperature, wherein the higher the surface temperature is, the larger the corrosion thickness is, namely the positive correlation is formed between the surface temperature and the corrosion thickness.
For example, after the surface temperature data of the static equipment is obtained and the corresponding corrosion thickness is calculated according to the surface temperature, the mapping relation between the surface temperature and the corrosion thickness corresponding to the surface temperature is determined, the surface temperature and the corrosion thickness are stored in a correlated mode, and the surface temperature of the static equipment and the calculated corrosion thickness data obtained within one month are recorded. Because the surface temperature data of the static equipment and the corrosion thickness are stored in a correlated manner in advance, the corresponding corrosion thickness relation can be known by acquiring the surface temperature data, namely, the corrosion thickness of the shell of the static equipment can be pre-warned according to the surface temperature change rate of the static equipment, wherein the faster the surface temperature change rate is, the faster the corrosion rate is.
And step S60, carrying out corrosion early warning on the static equipment according to the reference corrosion rate.
Optionally, the step S60 includes: acquiring real-time surface temperature and determining real-time temperature change rate;
determining a real-time corrosion rate according to the real-time temperature change rate and the mapping relation between the temperature and the corrosion thickness;
and outputting corrosion abnormality prompt information when the difference between the real-time corrosion rate and the reference corrosion rate is larger than a preset threshold value.
The preset threshold value can be set according to the actual condition of the static equipment, the reference corrosion rate is generally normal, the corrosion rate of the static equipment by the fluid medium stored in the static equipment is generally not greatly different from the reference corrosion rate along with the running time of the static equipment, and therefore, the real-time corrosion rate is compared with the reference corrosion rate, and if the difference between the real-time corrosion rate and the reference corrosion rate exceeds the preset threshold value, the abnormal corrosion rate of the static equipment by the fluid medium stored in the static equipment is represented, and corresponding warning is needed.
In the technical scheme provided by the embodiment, the static equipment corrosion monitoring device determines the temperature change rate within the history preset time period; determining a reference corrosion rate according to the historical temperature change rate and the mapping relation between the temperature and the corrosion thickness; and carrying out corrosion early warning on the static equipment according to the reference corrosion rate. The corrosion condition is predicted by using the surface temperature change rate of the static equipment in the history preset time period and the mapping relation between the temperature and the corrosion thickness, and the mapping relation between the temperature and the corrosion thickness can be prestored in the device, so that the static equipment corrosion monitoring device can directly perform early warning on the corrosion condition of the static equipment according to the real-time temperature change rate and the temperature change rate of the static equipment in the history preset time period, and the convenience of static equipment corrosion monitoring is improved.
Referring to fig. 5, fig. 5 is a fourth embodiment of the static equipment corrosion monitoring method according to the present invention, and based on the first, second or third embodiment, the step S50 includes:
step S51, generating a reference temperature change curve of the surface temperature within a preset time period according to the historical temperature change rate;
and S52, determining the corrosion rate according to the reference temperature change curve, wherein the corrosion rate is higher as the slope of the reference temperature change curve is larger.
Optionally, referring to fig. 6, fig. 6 is a schematic diagram of a temperature change curve in the static equipment corrosion monitoring method according to the present invention. Drawing surface temperature data acquired in a preset historical time in a coordinate graph according to a specific time interval, and fitting the surface temperature data with a smooth reference temperature change curve according to a preset algorithm, wherein a curve slope corresponding to a curve segment of the reference temperature change curve between each time point is the corrosion rate of the static equipment shell at each specific time interval, and the greater the curve slope is, the greater the corrosion rate of the static equipment shell is.
Further, acquiring the real-time temperature of the surface of the static equipment shell, and determining the real-time temperature change rate;
generating a real-time temperature change curve according to the real-time temperature change rate, wherein the corrosion rate is higher as the slope of the real-time temperature change curve is larger;
and outputting corrosion abnormality prompt information when the difference between the real-time temperature change rate and the reference temperature change rate is larger than a preset temperature change rate.
Specifically, referring to fig. 6, the real-time temperature of the surface of the stationary equipment housing is obtained at specific time intervals and plotted in a graph; fitting each real-time surface temperature data into a smooth real-time temperature change curve according to a preset algorithm, wherein the curve slope corresponding to the curve segment of the real-time temperature change curve between each time point is the corrosion rate of the static equipment shell in each specific time interval, and the larger the slope of the real-time temperature change curve is, the larger the real-time corrosion rate of the static equipment shell is. And outputting corrosion abnormality early warning information when the difference between the curve slope of the real-time temperature change curve and the curve slope of the reference temperature change curve is larger than the preset temperature change rate.
The preset temperature change rate can be obtained by processing according to historical data. Because of the mapping relation between the surface temperature and the corrosion thickness, the corrosion rate can be directly pre-warned according to the temperature change rate. And the reference temperature change rate and the real-time temperature change rate are used for generating a reference temperature change curve and a real-time temperature change curve and displaying the reference temperature change curve and the real-time temperature change curve on a display screen of the static equipment corrosion monitoring device, so that a user can intuitively observe the corrosion condition of the static equipment, and the user can intuitively know the fault of the static equipment when the static equipment corrosion monitoring device performs early warning on the corrosion condition according to the temperature change rate.
In the technical scheme provided by the embodiment of the invention, the static equipment corrosion monitoring device generates a reference temperature change curve of the surface temperature within a preset time period according to the historical temperature change rate; and determining the corrosion rate according to the reference temperature change curve, wherein the corrosion rate is higher as the slope of the reference temperature change curve is larger. Therefore, the reference temperature change rate and the real-time temperature change rate are used for generating the reference temperature change curve and the real-time temperature change curve and displaying the reference temperature change curve and the real-time temperature change curve on the display screen of the static equipment corrosion monitoring device, so that a user can intuitively observe the corrosion condition of the static equipment, and the user can intuitively know the fault of the static equipment when the static equipment corrosion monitoring device performs early warning on the corrosion condition according to the temperature change rate, and the intuitiveness of the corrosion monitoring of the static equipment is improved.
The embodiment of the invention also provides a static equipment corrosion monitoring device which comprises a memory, a processor and a static equipment corrosion monitoring program stored on the memory and capable of running on the processor, wherein the method is realized when the processor executes the static equipment corrosion monitoring program.
The embodiment of the invention also provides a computer readable storage medium storing a static equipment corrosion monitoring program which when executed by a processor implements the method as described above.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (9)

1. A static equipment corrosion monitoring method, the static equipment comprising a housing, the outer wall of the housing being divided into a plurality of monitoring areas, each of the monitoring areas being provided with a temperature sensor, the static equipment corrosion monitoring method comprising:
determining the surface temperature corresponding to each monitoring area according to the detection data of the temperature sensor;
acquiring the original thickness of the shell, the heat conductivity coefficient of the material of the shell, the flow rate of the storage medium in the static equipment, the density of the storage medium in the static equipment, the enthalpy value of the storage medium in the static equipment and the starting-up running time of the static equipment;
determining corrosion thickness corresponding to each monitoring area according to the surface temperature, the original thickness of the shell, the heat conductivity coefficient of the material of the shell, the flow rate of the storage medium in the static equipment, the density of the storage medium in the static equipment, the enthalpy value of the storage medium in the static equipment and the startup running time of the static equipment;
determining a historical temperature change rate within a historical preset time period;
determining a reference corrosion rate according to the historical temperature change rate and the mapping relation between the temperature and the corrosion thickness;
and carrying out corrosion early warning on the static equipment according to the reference corrosion rate.
2. The method for monitoring corrosion of a static apparatus according to claim 1, wherein before the step of determining the corrosion thickness corresponding to each monitoring area according to the surface temperature, the structural parameter of the housing, the medium parameter stored in the static apparatus, and the startup running time of the static apparatus, the method further comprises:
acquiring a pre-stored calculation weight;
the step of determining the corrosion thickness corresponding to each monitoring area according to the surface temperature, the structural parameters of the shell, the medium parameters stored in the static equipment and the startup running time of the static equipment comprises the following steps:
and determining the corrosion thickness corresponding to each monitoring area according to the pre-stored calculation weight, the surface temperature, the structural parameters of the shell, the medium parameters stored in the static equipment and the starting-up running time of the static equipment.
3. The method for monitoring corrosion of a static apparatus according to claim 1, wherein after the step of determining the corrosion thickness corresponding to each monitoring area according to the surface temperature, the structural parameter of the housing, the medium parameter stored in the static apparatus, and the startup running time of the static apparatus, the method further comprises:
and outputting corrosion abnormality early warning information when the corrosion thickness corresponding to at least one monitoring area is greater than or equal to a preset thickness.
4. The method of monitoring corrosion of a stationary equipment according to claim 1, wherein the step of performing corrosion pre-warning on the stationary equipment according to the reference corrosion rate comprises:
acquiring real-time surface temperature and determining real-time temperature change rate;
determining a real-time corrosion rate according to the real-time temperature change rate and the mapping relation between the temperature and the corrosion thickness;
and outputting corrosion abnormality prompt information when the difference between the real-time corrosion rate and the reference corrosion rate is larger than a preset threshold value.
5. The method of monitoring corrosion of a static apparatus of claim 1, wherein the step of determining a historical rate of change of temperature over a historical preset time period comprises:
acquiring surface temperature data within a history preset time period;
and determining the historical temperature change rate according to the surface temperature data in the historical preset time.
6. The method of monitoring corrosion of a stationary apparatus of claim 1, wherein said step of determining a reference corrosion rate based on said historical rate of change of temperature and a mapping between said temperature and corrosion thickness comprises:
generating a reference temperature change curve of the surface temperature within a preset time period according to the historical temperature change rate;
and determining the corrosion rate according to the reference temperature change curve, wherein the corrosion rate is higher as the slope of the reference temperature change curve is larger.
7. The method of monitoring corrosion of a stationary apparatus of claim 1, wherein prior to the step of determining a reference corrosion rate based on the historical rate of change of temperature and the mapping between temperature and corrosion thickness, further comprising:
acquiring the surface temperature corresponding to each monitoring area and the corrosion thickness corresponding to the surface temperature;
and determining the mapping relation between the surface temperature and the corrosion thickness corresponding to the surface temperature.
8. A static equipment corrosion monitoring device, characterized in that the static equipment corrosion monitoring device comprises a memory, a processor and a static equipment corrosion monitoring program stored on the memory and capable of running on the processor, wherein the processor implements the method of any one of claims 1-7 when executing the static equipment corrosion monitoring program.
9. A computer readable storage medium, characterized in that the computer readable storage medium stores a static equipment corrosion monitoring program, which when executed by a processor implements the method of any of claims 1-7.
CN202111077229.1A 2021-09-14 2021-09-14 Static equipment corrosion monitoring method, device and medium Active CN113959930B (en)

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