Pipeline corrosion risk assessment method based on TM sensor

Abstract

The invention discloses a pipeline corrosion risk assessment method based on a TM sensor, relates to the technical field of pipeline corrosion assessment, is used for improving the accuracy of pipeline corrosion risk assessment, and comprises the following steps: collecting pipeline thickness data of a monitoring area based on the TM sensor; determining an initial risk assessment value of the pipeline according to the pipeline thickness data and the standard pipeline thickness interval; according to the pipeline internal flow velocity data and the pipeline external pressure data corresponding to the abnormal monitoring area, determining a corrosion tendency index, and according to the corrosion tendency index, determining whether to adjust the initial risk assessment value; acquiring environment characteristic data corresponding to the abnormal monitoring area, and determining corrosion influence factors according to the environment characteristic data; determining a target adjustment risk assessment value according to the corrosion influence factor, the historical corrosion data and the initial risk assessment value; and determining the corrosion risk level of the pipeline according to the target adjustment risk assessment value. The method is applied to the process of pipeline corrosion risk assessment.

Description

Technical Field

[0001] The present application relates to the technical field of pipeline corrosion assessment, and in particular to a pipeline corrosion risk assessment method based on a TM sensor. Background Art

[0002] The Landsat Thematic Mapper (TM) sensor is a thermal infrared sensor on the Landsat satellite. It collects thermal infrared radiation information on the earth's surface to remotely monitor the surface temperature. The TM sensor contains 7 bands, of which the 6th band is a thermal infrared band, which is used to measure the temperature of the earth's surface.

[0003] At present, there are some limitations in the assessment methods for pipeline corrosion risks, resulting in unsatisfactory accuracy of the assessment results. Specifically, these methods may not provide sufficiently reliable assessment results in practical applications due to factors such as incomplete data, inaccurate models or changes in the external environment. This not only affects the decision-making of pipeline maintenance and repair, but may also bring safety hazards and economic losses. Summary of the invention

[0004] In view of this, the present application proposes a pipeline corrosion risk assessment method based on TM sensor to improve the accuracy of pipeline corrosion risk assessment.

[0005] In a first aspect, the present invention proposes a pipeline corrosion risk assessment method based on a TM sensor, comprising: collecting pipeline thickness data of a monitoring area based on a TM sensor; determining normal thickness data and abnormal thickness data from the pipeline thickness data of the monitoring area according to the pipeline thickness data and a standard pipeline thickness interval; determining an initial risk assessment value of the pipeline according to the normal thickness data and the abnormal thickness data; the monitoring area is a plurality of monitoring areas into which the pipeline is divided; each monitoring area is provided with a TM sensor; collecting and determining a corrosion tendency index according to internal pipeline flow velocity data and external pipeline pressure data corresponding to the abnormal monitoring area, and determining whether to adjust the initial risk assessment value according to the corrosion tendency index; the abnormal monitoring area is a monitoring area corresponding to the abnormal thickness data; when determining to adjust the initial risk assessment value, collecting and determining a corrosion influence factor according to environmental characteristic data corresponding to the abnormal monitoring area; determining a target adjustment risk assessment value according to the corrosion influence factor, historical corrosion data and the initial risk assessment value; and determining the corrosion risk level of the pipeline according to the target adjustment risk assessment value.

[0006] Optionally, when the pipeline thickness data is outside the standard pipeline thickness range, the pipeline thickness data is abnormal pipeline thickness data; when the pipeline thickness data is within the standard pipeline thickness range, the pipeline thickness data is normal pipeline thickness data.

[0007] Optionally, a normal thickness data set is established based on the normal thickness data, and a first average pipeline thickness of the normal thickness data set is determined; an abnormal thickness data set is established based on the abnormal thickness data, and a second average pipeline thickness of the abnormal thickness data set is determined; a first number of normal monitoring areas and a second number of abnormal monitoring areas are determined; the normal monitoring area is the monitoring area corresponding to the normal thickness data; an initial risk assessment value is determined based on the first average pipeline thickness, the second average pipeline thickness, the first number, and the second number; the initial risk assessment value satisfies the following formula:

[0008]

[0009] Among them, R initial represents the initial risk assessment value, N 1 Represents the first quantity, N 2 Represents the second quantity, A 1 represents the first average pipe thickness, A 2 Represents the second average pipe thickness.

[0010] Optionally, the corrosion tendency index satisfies the following formula:

[0011]

[0012] Among them, I corrosion Represents the corrosion tendency index, V internal represents the flow velocity data inside the pipeline, γ 1 Represents the velocity weight coefficient, P external represents the external pressure data of the pipeline, γ 2 Represents the pressure weight coefficient.

[0013] Optionally, when the corrosion tendency index is greater than or equal to the corrosion tendency index threshold, it is determined to adjust the initial risk assessment value; when the corrosion tendency index is less than the corrosion tendency index threshold, it is determined not to adjust the initial risk assessment value.

[0014] Optionally, the environmental characteristic data includes pipeline internal temperature characteristic data, pipeline internal humidity characteristic data, pipeline internal pressure characteristic data and pipeline internal flow velocity characteristic data; pipeline external environmental data includes soil type characteristic data, soil resistivity characteristic data, groundwater level characteristic data and pipeline external temperature characteristic data; the corrosion influencing factor satisfies the following formula:

[0015]

[0016] Among them, F corrosion represents the corrosion impact factor, α 1 , α 2 , α 3 , α 4Represents the weight coefficient of the internal environment of the pipeline, β 1 , β 2 , β 3 , β 4 Represents the weight coefficient of the external environment, T i represents the internal temperature characteristic data of the pipeline in the i-th monitoring area, H i represents the internal humidity characteristic data of the pipeline in the i-th monitoring area, P i represents the internal pressure characteristic data of the pipeline in the ith monitoring area, V i represents the internal flow velocity characteristic data of the pipeline in the i-th monitoring area, T e,i represents the external temperature characteristic data of the pipeline in the i-th monitoring area, R i represents the soil resistivity characteristic data of the ith monitoring area, G i represents the groundwater level characteristic data of the ith monitoring area, V i Represents the soil type characteristic data of the i-th monitoring area.

[0017] Optionally, when there is data identical to the corrosion influencing factor in the historical corrosion data, the target adjusted risk assessment value is determined based on the historical risk assessment value adjustment amount and the initial risk assessment value recorded in the historical corrosion data; when there is no data identical to the corrosion influencing factor in the historical corrosion data, the risk assessment value adjustment amount is collected and determined based on the material property data of the pipeline and the transmission medium data inside the pipeline, and the target adjusted risk assessment value is determined based on the risk assessment value adjustment amount and the initial risk assessment value.

[0018] Optionally, the risk assessment value adjustment amount satisfies the following formula:

[0019]

[0020] Among them, ΔR represents the risk assessment value adjustment, C m Indicates the corrosion rate of the material, T m Indicates the corrosion resistance of the material, C p Indicates the corrosiveness of the transmission medium, T p represents the concentration of the transmission medium, λ1 represents the material influence coefficient, and λ2 represents the transmission medium influence coefficient.

[0021] Optionally, the risk assessment value adjustment amount is added to the initial risk assessment value to obtain a target adjusted risk assessment value; the target adjusted risk assessment value is compared with a first risk assessment threshold, a second risk assessment threshold and a third risk assessment threshold, and the corrosion risk level is determined according to the comparison results; wherein the first risk assessment threshold is less than the second risk assessment threshold, and the second risk assessment threshold is less than the third risk assessment threshold.

[0022] Optionally, when the target-adjusted risk assessment value is less than or equal to the first risk assessment threshold, the corrosion risk level is a mild risk level; when the target-adjusted risk assessment value is greater than the first risk assessment threshold and less than or equal to the second risk assessment threshold, the corrosion risk level is a moderate risk level; when the target-adjusted risk assessment value is greater than the second risk assessment threshold and less than or equal to the third risk assessment threshold, the corrosion risk level is a severe risk level; when the target-adjusted risk assessment value is greater than the third risk assessment threshold, the corrosion risk level is an extreme risk level.

[0023] In a second aspect, a pipeline corrosion risk assessment device based on a TM sensor is provided, comprising: an acquisition unit and a processing unit; the acquisition unit is used to acquire pipeline thickness data of a monitoring area based on the TM sensor; the processing unit is used to determine normal thickness data and abnormal thickness data from the pipeline thickness data of the monitoring area according to the pipeline thickness data and the standard pipeline thickness interval; the processing unit is used to determine an initial risk assessment value of the pipeline according to the normal thickness data and the abnormal thickness data; the monitoring area is a plurality of monitoring areas into which the pipeline is divided; each monitoring area is provided with a TM sensor; the processing unit is used to acquire and determine a corrosion tendency index according to the internal flow velocity data of the pipeline and the external pressure data of the pipeline corresponding to the abnormal monitoring area, and determine whether to adjust the initial risk assessment value according to the corrosion tendency index; the abnormal monitoring area is the monitoring area corresponding to the abnormal thickness data; the processing unit is used to acquire and determine the corrosion influence factor according to the environmental characteristic data corresponding to the abnormal monitoring area when determining to adjust the initial risk assessment value; the processing unit is used to determine a target adjustment risk assessment value according to the corrosion influence factor, historical corrosion data and the initial risk assessment value; the processing unit is used to determine the corrosion risk level of the pipeline according to the target adjustment risk assessment value.

[0024] Optionally, the processing unit is further used to: when the pipeline thickness data is outside the standard pipeline thickness range, the pipeline thickness data is abnormal pipeline thickness data; when the pipeline thickness data is within the standard pipeline thickness range, the pipeline thickness data is normal pipeline thickness data.

[0025] Optionally, the processing unit is further used to establish a normal thickness data set according to the normal thickness data, and determine a first average pipeline thickness of the normal thickness data set; establish an abnormal thickness data set according to the abnormal thickness data, and determine a second average pipeline thickness of the abnormal thickness data set; determine a first number of normal monitoring areas and a second number of abnormal monitoring areas; the normal monitoring area is the monitoring area corresponding to the normal thickness data; determine an initial risk assessment value according to the first average pipeline thickness, the second average pipeline thickness, the first number, and the second number; the initial risk assessment value satisfies the following formula:

[0026]

[0027] Among them, R initial represents the initial risk assessment value, N 1 Represents the first quantity, N 2 Represents the second quantity, A 1 represents the first average pipe thickness, A 2 Represents the second average pipe thickness.

[0028] Optionally, the corrosion tendency index satisfies the following formula:

[0029]

[0030] Among them, I corrosion Represents the corrosion tendency index, V internal represents the flow velocity data inside the pipeline, γ 1 Represents the velocity weight coefficient, P external represents the external pressure data of the pipeline, γ 2 Represents the pressure weight coefficient.

[0031] Optionally, the processing unit is further used to determine to adjust the initial risk assessment value when the corrosion tendency index is greater than or equal to the corrosion tendency index threshold; and to determine not to adjust the initial risk assessment value when the corrosion tendency index is less than the corrosion tendency index threshold.

[0032] Optionally, the environmental characteristic data includes pipeline internal temperature characteristic data, pipeline internal humidity characteristic data, pipeline internal pressure characteristic data and pipeline internal flow velocity characteristic data; pipeline external environmental data includes soil type characteristic data, soil resistivity characteristic data, groundwater level characteristic data and pipeline external temperature characteristic data; the corrosion influencing factor satisfies the following formula:

[0033]

[0034] Among them, F corrosion represents the corrosion impact factor, α 1 , α 2 , α 3 , α 4 Represents the weight coefficient of the internal environment of the pipeline, β 1 , β 2 , β 3 , β 4 Represents the weight coefficient of the external environment, T i represents the internal temperature characteristic data of the pipeline in the i-th monitoring area, H i represents the internal humidity characteristic data of the pipeline in the i-th monitoring area, P i represents the internal pressure characteristic data of the pipeline in the ith monitoring area, V i represents the internal flow velocity characteristic data of the pipeline in the i-th monitoring area, T e,irepresents the external temperature characteristic data of the pipeline in the i-th monitoring area, R i represents the soil resistivity characteristic data of the ith monitoring area, G i represents the groundwater level characteristic data of the ith monitoring area, V i Represents the soil type characteristic data of the i-th monitoring area.

[0035] Optionally, the processing unit is also used to determine the target adjusted risk assessment value based on the historical risk assessment value adjustment amount and the initial risk assessment value recorded in the historical corrosion data when the historical corrosion data contains data identical to the corrosion influencing factor; when the historical corrosion data does not contain data identical to the corrosion influencing factor, collect and determine the risk assessment value adjustment amount based on the material property data of the pipeline and the transmission medium data inside the pipeline, and determine the target adjusted risk assessment value based on the risk assessment value adjustment amount and the initial risk assessment value.

[0036] Optionally, the risk assessment value adjustment amount satisfies the following formula:

[0037]

[0038] Among them, ΔR represents the risk assessment value adjustment, C m Indicates the corrosion rate of the material, T m Indicates the corrosion resistance of the material, C p Indicates the corrosiveness of the transmission medium, T p represents the concentration of the transmission medium, λ1 represents the material influence coefficient, and λ2 represents the transmission medium influence coefficient.

[0039] Optionally, the processing unit is also used to add the risk assessment value adjustment amount to the initial risk assessment value to obtain a target adjusted risk assessment value; compare the target adjusted risk assessment value with the first risk assessment threshold, the second risk assessment threshold and the third risk assessment threshold, and determine the corrosion risk level according to the comparison results; wherein the first risk assessment threshold is less than the second risk assessment threshold, and the second risk assessment threshold is less than the third risk assessment threshold.

[0040] Optionally, the processing unit is also used to, when the target adjusted risk assessment value is less than or equal to a first risk assessment threshold, the corrosion risk level is a mild risk level; when the target adjusted risk assessment value is greater than the first risk assessment threshold and less than or equal to a second risk assessment threshold, the corrosion risk level is a moderate risk level; when the target adjusted risk assessment value is greater than the second risk assessment threshold and less than or equal to a third risk assessment threshold, the corrosion risk level is a severe risk level; when the target adjusted risk assessment value is greater than the third risk assessment threshold, the corrosion risk level is an extreme risk level.

[0041] In a third aspect, a pipeline corrosion risk assessment device based on a TM sensor is provided, comprising a memory and a processor; the memory is used to store computer execution instructions, and the processor is connected to the memory through a bus; when the pipeline corrosion risk assessment device based on the TM sensor is running, the processor executes the computer execution instructions stored in the memory, so that the pipeline corrosion risk assessment device based on the TM sensor performs the pipeline corrosion risk assessment method based on the TM sensor of the first aspect.

[0042] The pipeline corrosion risk assessment device based on TM sensor can be a network device, or a part of a network device, such as a chip system in the network device. The chip system is used to support the network device to implement the functions involved in the first aspect and any possible implementation thereof, for example, to obtain, determine, and send the data and / or information involved in the above-mentioned pipeline corrosion risk assessment method based on TM sensor. The chip system includes a chip, and may also include other discrete devices or circuit structures.

[0043] In a fourth aspect, a computer-readable storage medium is provided, the computer-readable storage medium comprising computer execution instructions, and when the computer execution instructions are executed on a computer, the computer executes the pipeline corrosion risk assessment method based on a TM sensor according to the first aspect.

[0044] In a fifth aspect, a computer program product is also provided, which includes computer instructions. When the computer instructions are run on a pipeline corrosion risk assessment device based on a TM sensor, the pipeline corrosion risk assessment device based on a TM sensor executes the pipeline corrosion risk assessment method based on a TM sensor as described in the first aspect above.

[0045] It should be noted that the above-mentioned computer instructions may be stored in whole or in part on a computer-readable storage medium. The computer-readable storage medium may be packaged together with the processor of the pipeline corrosion risk assessment device based on the TM sensor, or may be packaged separately from the processor of the pipeline corrosion risk assessment device based on the TM sensor, and the embodiments of the present application are not limited to this.

[0046] The description of the second, third, fourth and fifth aspects of the present application can refer to the detailed description of the first aspect.

[0047] In the embodiments of the present application, the name of the above-mentioned pipeline corrosion risk assessment device based on TM sensor does not limit the device or functional module itself. In actual implementation, these devices or functional modules may appear with other names. For example, the receiving unit may also be called a receiving module, a receiver, etc. As long as the functions of each device or functional module are similar to those of the present application, they belong to the scope of the claims of the present application and their equivalent technologies.

[0048] In this application, since the monitoring area is a number of monitoring areas that divide the pipeline, the pipeline corrosion risk assessment device based on the TM sensor can accurately determine the initial risk assessment value of the pipeline according to the normal thickness data and abnormal thickness data in the pipeline thickness data of the monitoring area. Furthermore, according to the internal flow velocity data of the pipeline and the external pressure data of the pipeline corresponding to the abnormal monitoring area, it can be determined whether the initial risk assessment value needs to be adjusted. When the initial risk assessment value needs to be adjusted, the target adjustment risk assessment value can be determined according to the real-time environmental characteristic data, historical corrosion data and the initial risk assessment value. In this way, the application relies on the dual means of real-time monitoring and historical data analysis to accurately identify potential corrosion problems and significantly improve the accuracy of pipeline corrosion risk assessment. The method has good adaptability and can be widely used in various types of pipelines and different working environments, providing solid guarantees for the long-term safe and stable operation of the pipeline. In addition, the method can also effectively reduce the risk of accidents and economic losses caused by pipeline corrosion, thereby enhancing the safety and reliability of industrial production. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present application. Also, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0050] Figure 1 A schematic diagram of the structure of a pipeline corrosion risk assessment system based on a TM sensor provided in an embodiment of the present application.

[0051] Figure 2 A schematic diagram of the structure of a pipeline corrosion risk assessment device based on a TM sensor provided in an embodiment of the present application;

[0052] Figure 3 A schematic diagram of a pipeline corrosion risk assessment method based on a TM sensor provided in an embodiment of the present application;

[0053] Figure 4 A schematic flow chart of another pipeline corrosion risk assessment method based on a TM sensor provided in an embodiment of the present application;

[0054] Figure 5 A schematic flow chart of another pipeline corrosion risk assessment method based on a TM sensor provided in an embodiment of the present application;

[0055] Figure 6 A schematic flow chart of another pipeline corrosion risk assessment method based on a TM sensor provided in an embodiment of the present application;

[0056] Figure 7 A schematic flow chart of another pipeline corrosion risk assessment method based on a TM sensor provided in an embodiment of the present application;

[0057] Figure 8 A schematic flow chart of another pipeline corrosion risk assessment method based on a TM sensor provided in an embodiment of the present application;

[0058] Fig. 9 A schematic flow chart of another pipeline corrosion risk assessment method based on a TM sensor provided in an embodiment of the present application;

[0059] Fig.10 A schematic structural diagram of another pipeline corrosion risk assessment device based on a TM sensor provided in an embodiment of the present application. DETAILED DESCRIPTION

[0060] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0061] It should be noted that, in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0062] In order to facilitate a clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish between identical or similar items with substantially the same functions and effects. Those skilled in the art can understand that words such as "first" and "second" do not limit the quantity and order of execution.

[0063] The Landsat Thematic Mapper (TM) sensor is a thermal infrared sensor on the Landsat satellite. It collects thermal infrared radiation information on the earth's surface to remotely monitor the surface temperature. The TM sensor contains 7 bands, of which the 6th band is a thermal infrared band, which is used to measure the temperature of the earth's surface.

[0064] At present, there are some limitations in the assessment methods for pipeline corrosion risks, resulting in unsatisfactory accuracy of the assessment results. Specifically, these methods may not provide sufficiently reliable assessment results in practical applications due to factors such as incomplete data, inaccurate models or changes in the external environment. This not only affects the decision-making of pipeline maintenance and repair, but may also bring safety hazards and economic losses.

[0065] In this case, an embodiment of the present application provides a pipeline corrosion risk assessment method based on a TM sensor, including: collecting pipeline thickness data of a monitoring area based on a TM sensor; determining normal thickness data and abnormal thickness data from the pipeline thickness data of the monitoring area according to the pipeline thickness data and a standard pipeline thickness interval; determining an initial risk assessment value of the pipeline according to the normal thickness data and the abnormal thickness data; the monitoring area is a plurality of monitoring areas into which the pipeline is divided; each monitoring area is provided with a TM sensor; collecting and determining a corrosion tendency index according to the internal flow velocity data of the pipeline and the external pressure data of the pipeline corresponding to the abnormal monitoring area, and determining whether to adjust the initial risk assessment value according to the corrosion tendency index; the abnormal monitoring area is the monitoring area corresponding to the abnormal thickness data; when determining to adjust the initial risk assessment value, collecting and determining the corrosion influence factor according to the environmental characteristic data corresponding to the abnormal monitoring area; determining a target adjustment risk assessment value according to the corrosion influence factor, historical corrosion data and the initial risk assessment value; and determining the corrosion risk level of the pipeline according to the target adjustment risk assessment value.

[0066] As can be seen from the above, in this application, since the monitoring area is a number of monitoring areas that divide the pipeline, the pipeline corrosion risk assessment device based on the TM sensor can accurately determine the initial risk assessment value of the pipeline according to the normal thickness data and abnormal thickness data in the pipeline thickness data of the monitoring area. Furthermore, according to the internal flow velocity data of the pipeline and the external pressure data of the pipeline corresponding to the abnormal monitoring area, it can be determined whether the initial risk assessment value needs to be adjusted. When the initial risk assessment value needs to be adjusted, the target adjustment risk assessment value can be determined according to the real-time environmental characteristic data, historical corrosion data and the initial risk assessment value. In this way, the present application relies on the dual means of real-time monitoring and historical data analysis to accurately identify potential corrosion problems and significantly improve the accuracy of pipeline corrosion risk assessment. The method has good adaptability and can be widely used in various types of pipelines and different working environments, providing solid guarantees for the long-term safe and stable operation of the pipeline. In addition, the method can also effectively reduce the risk of accidents and economic losses caused by pipeline corrosion, thereby enhancing the safety and reliability of industrial production.

[0067] The above-mentioned pipeline corrosion risk assessment method based on TM sensor can be applied to the pipeline corrosion risk assessment system based on TM sensor. Figure 1The schematic diagram of the pipeline corrosion risk assessment system based on TM sensor is shown in FIG. Figure 1 As shown, the pipeline corrosion risk assessment system based on TM sensors includes: a pipeline to be data collected 101, a sensor group 102, and a pipeline corrosion risk assessment device based on TM sensors 103. The sensor group 102 includes a plurality of TM sensors. The pipeline corrosion risk assessment device based on TM sensors 103 is connected to each sensor in the sensor group 102.

[0068] Optionally, the pipeline 101 for data collection may be pipelines of different types, such as a natural gas pipeline, a crude oil pipeline, a refined oil pipeline, etc.

[0069] The sensors in the sensor group 102 are used to collect data of the pipeline 101 to be collected, such as parameters such as thickness and temperature.

[0070] Optionally, the sensors in the above-mentioned sensor group 102 may include ultrasonic sensors, temperature sensors, vibration sensors, flow sensors, and pressure sensors. Ultrasonic sensors are sensors that convert ultrasonic signals into other energy signals (usually electrical signals), and are usually used to detect parameters such as the thickness of the object being detected. Temperature sensors are usually used to detect the temperature of the object being detected. Vibration sensors are usually used to detect the vibration state of the object being detected. Flow sensors are usually used to detect the flow rate generated when the fluid flows in the object being detected. Pressure sensors are usually used to detect the pressure of the object being detected.

[0071] In the embodiment of the present application, the sensors in the sensor group 102 can transmit detection signals to the data collection pipeline 101, and obtain the detection data (i.e., the data collected by the sensors) of the data collection pipeline 101. Then, the sensors in the sensor group 102 can send the collected data to the pipeline corrosion risk assessment device 103 based on the TM sensor by wireless communication.

[0072] Optionally, the pipeline corrosion risk assessment device 103 based on TM sensors may further include a processing unit. After determining the data collection result, the data collection result may be sent to the processing unit so that the processing unit can also make a reasonable risk assessment and respond quickly.

[0073] Optionally, the processing unit may also be a processing unit of other equipment other than the pipeline corrosion risk assessment device 103 based on the TM sensor, which is not limited in this embodiment of the present application.

[0074] Optionally, the physical device of the TM sensor-based pipeline corrosion risk assessment device 103 may be a server, a terminal, or other types of electronic devices, which is not limited in the embodiment of the present application.

[0075] Optionally, the terminal may be at least one of a smart phone, a smart watch, a desktop computer, a laptop computer, a virtual reality terminal, an augmented reality terminal, a wireless terminal, a laptop computer and the like.

[0076] Optionally, the above-mentioned server can be a server in a server cluster (consisting of multiple servers), or a chip in the server, or a system on a chip in the server, or can be implemented by a virtual machine (VM) deployed on a physical machine, which is not limited in the embodiments of the present application.

[0077] The storage server is used to store various types of data in the embodiments of the present application, such as the data collection results obtained by the pipeline corrosion risk assessment device 103 based on the TM sensor for collecting data on the data collection pipeline 101, and the historical anomaly database used to determine the data collection results.

[0078] The basic hardware structure of the pipeline corrosion risk assessment device based on TM sensor 103 includes Figure 2 The components of the pipeline corrosion risk assessment device based on TM sensor are shown below. Figure 2 Taking the pipeline corrosion risk assessment device based on TM sensor as an example, the hardware structure of the pipeline corrosion risk assessment device based on TM sensor 103 is introduced.

[0079] like Figure 2 As shown, a hardware structure diagram of a pipeline corrosion risk assessment device based on a TM sensor provided in an embodiment of the present application is shown. The pipeline corrosion risk assessment device based on a TM sensor includes a processor 21, a memory 22, a communication interface 23, and a bus 24. The processor 21, the memory 22, and the communication interface 23 can be connected through a bus 24.

[0080] The processor 21 is the control center of the pipeline corrosion risk assessment device based on the TM sensor, which can be a processor or a general term for multiple processing elements. For example, the processor 21 can be a general-purpose central processing unit (CPU) or other general-purpose processors. Among them, the general-purpose processor can be a microprocessor or any conventional processor.

[0081] As an embodiment, the processor 21 may include one or more CPUs, such as Figure 2 CPU 0 and CPU 1 are shown in .

[0082] The memory 22 may be a read-only memory (ROM) or other type of static storage device that can store static information and instructions, a random access memory (RAM) or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0083] In a possible implementation, the memory 22 may exist independently of the processor 21, and the memory 22 may be connected to the processor 21 via a bus 24 to store instructions or program codes. When the processor 21 calls and executes the instructions or program codes stored in the memory 22, the data acquisition method provided in the following embodiments of the present application can be implemented.

[0084] In the embodiment of the present application, for the pipeline corrosion risk assessment device 103 based on the TM sensor, the software programs stored in the memory 22 are different, so the functions implemented by the pipeline corrosion risk assessment device 103 based on the TM sensor are different. The functions performed by each device will be described in conjunction with the following flowchart.

[0085] In another possible implementation, the memory 22 may also be integrated with the processor 21 .

[0086] The communication interface 23 is used to connect the pipeline corrosion risk assessment device based on the TM sensor with other devices through a communication network, and the communication network can be Ethernet, wireless access network, wireless local area network (WLAN), etc. The communication interface 23 can include a receiving unit for receiving data and a sending unit for sending data.

[0087] The bus 24 may be an industry standard architecture (ISA) bus, a peripheral component interconnect (PCI) bus, or an extended industry standard architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 2Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0088] It should be pointed out that Figure 2 The structure shown in the figure does not constitute a limitation on the pipeline corrosion risk assessment device based on the TM sensor, except Figure 2 In addition to the components shown, the TM sensor-based pipeline corrosion risk assessment device may include more or fewer components than shown, or combine certain components, or arrange the components differently.

[0089] The data collection method provided in the embodiment of the present application is described in detail below with reference to the accompanying drawings.

[0090] The pipeline corrosion risk assessment method based on TM sensor provided in the embodiment of the present application is applied to Figure 1 The pipeline corrosion risk assessment device 103 based on TM sensor in the pipeline corrosion risk assessment system based on TM sensor is shown. Figure 3 As shown, the pipeline corrosion risk assessment method based on TM sensor includes:

[0091] S301. The pipeline corrosion risk assessment device based on the TM sensor collects pipeline thickness data of the monitoring area based on the TM sensor; determines normal thickness data and abnormal thickness data from the pipeline thickness data of the monitoring area according to the pipeline thickness data and the standard pipeline thickness range; determines an initial risk assessment value of the pipeline according to the normal thickness data and the abnormal thickness data.

[0092] The monitoring area is a number of monitoring areas into which the pipeline is divided; each monitoring area is provided with a TM sensor.

[0093] That is to say, the pipeline is divided into several monitoring areas, the pipeline thickness data of each monitoring area is collected, and a pipeline thickness data set is established based on the pipeline thickness data; each pipeline thickness data in the pipeline thickness data set is compared with the standard pipeline thickness threshold, and normal thickness data and abnormal thickness data are identified based on the comparison results; the monitoring area corresponding to the abnormal thickness data is recorded as the abnormal monitoring area, and the initial risk assessment value of the pipeline is determined.

[0094] Specifically, the pipeline thickness data is obtained by setting up TM sensors in each monitoring area. The TM sensor measures the thickness of the pipeline by emitting magnetic field signals and sensing their attenuation in the pipeline. When the magnetic field signal passes through the pipeline, the thickness, material and surface condition of the pipeline will affect the attenuation of the signal. The TM sensor calculates the actual thickness data of the pipeline based on the intensity and attenuation of the reflected signal combined with the algorithm.

[0095] S302, the pipeline corrosion risk assessment device based on the TM sensor collects and determines the corrosion tendency index according to the pipeline internal flow velocity data and pipeline external pressure data corresponding to the abnormal monitoring area, and determines whether to adjust the initial risk assessment value according to the corrosion tendency index.

[0096] Among them, the abnormal monitoring area is the monitoring area corresponding to the abnormal thickness data. The corrosion tendency index satisfies the following formula:

[0097]

[0098] Among them, I corrosion Represents the corrosion tendency index, V internal represents the flow velocity data inside the pipeline, γ 1 Represents the velocity weight coefficient, P external represents the external pressure data of the pipeline, γ 2 Represents the pressure weight coefficient.

[0099] It should be explained that the corrosion tendency index is calculated based on the flow velocity data inside the pipeline and the pressure data outside the pipeline to predict the possibility and speed of pipeline corrosion. The setting of the flow velocity weight coefficient and the pressure weight coefficient depends on the relative importance of the flow velocity and pressure on pipeline corrosion. A higher flow velocity weight coefficient means that the flow velocity has a greater impact on corrosion, while a higher pressure weight coefficient indicates that the pressure has a more significant impact on corrosion. By adjusting these two weight coefficients, the corrosion risk under specific pipeline conditions can be more accurately reflected.

[0100] S303. When it is determined to adjust the initial risk assessment value, collect and determine the corrosion influencing factor based on the environmental characteristic data corresponding to the abnormal monitoring area, and the pipeline corrosion risk assessment device based on the TM sensor; determine the target adjustment risk assessment value based on the corrosion influencing factor, historical corrosion data and the initial risk assessment value.

[0101] Among them, the environmental characteristic data include pipeline internal temperature characteristic data, pipeline internal humidity characteristic data, pipeline internal pressure characteristic data and pipeline internal flow velocity characteristic data; pipeline external environmental data include soil type characteristic data, soil resistivity characteristic data, groundwater level characteristic data, pipeline external temperature characteristic data; corrosion influencing factor satisfies the following formula:

[0102]

[0103] Among them, F corrosion represents the corrosion impact factor, α 1 , α 2 , α 3 , α 4 Represents the weight coefficient of the internal environment of the pipeline, β 1 , β2 , β 3 , β 4 Represents the weight coefficient of the external environment, T i represents the internal temperature characteristic data of the pipeline in the i-th monitoring area, H i represents the internal humidity characteristic data of the pipeline in the i-th monitoring area, P i represents the internal pressure characteristic data of the pipeline in the ith monitoring area, V i represents the internal flow velocity characteristic data of the pipeline in the i-th monitoring area, T e,i represents the external temperature characteristic data of the pipeline in the i-th monitoring area, R i represents the soil resistivity characteristic data of the ith monitoring area, G i represents the groundwater level characteristic data of the ith monitoring area, V i Represents the soil type characteristic data of the i-th monitoring area.

[0104] It can be seen that by comprehensively considering the internal and external environmental factors of the pipeline, the corrosion influencing factor can more comprehensively reflect the risk of pipeline corrosion. The setting of the weight coefficient of the internal environment of the pipeline and the weight coefficient of the external environment reflects the relative importance of the influence of different environmental factors on corrosion. For example, if the temperature and humidity changes inside the pipeline have a greater impact on corrosion, then the values ​​of α1 and α2 will be set higher. Similarly, if the soil type and groundwater level have a more significant impact on pipeline corrosion, then the values ​​of β3 and β4 will be given a greater weight. In this way, the accuracy and adaptability of risk assessment can be ensured, providing a scientific basis for pipeline maintenance and repair.

[0105] It can be understood that the characteristic data of internal temperature of the pipeline is the maximum value of the internal temperature of the pipeline corresponding to the abnormal monitoring area; the characteristic data of internal humidity of the pipeline is the maximum value of the internal humidity of the pipeline corresponding to the abnormal monitoring area; the characteristic data of internal pressure of the pipeline is the maximum value of the internal pressure of the pipeline corresponding to the abnormal monitoring area; the characteristic data of internal flow velocity of the pipeline is the maximum value of the internal flow velocity of the pipeline corresponding to the abnormal monitoring area.

[0106] It is understandable that soil type characteristic data are types defined in the soil classification system, such as clay, sand, loam, etc. These data can reflect the physical and chemical properties of the soil and are crucial to pipeline corrosion risk assessment. Soil resistivity characteristic data provides a measure of soil conductivity. Soil with high resistivity may mean a lower risk of corrosion, while soil with low resistivity may increase the possibility of corrosion. Groundwater level characteristic data reflects the depth and change trend of groundwater. Fluctuations in groundwater levels may affect the chemical composition and oxygen content of the soil, and thus affect the corrosion condition of the pipeline. Through the comprehensive analysis of these data, the corrosion risk of pipelines under specific environmental conditions can be more accurately assessed, providing a scientific basis for pipeline maintenance and management.

[0107] S304. The pipeline corrosion risk assessment device based on the TM sensor adjusts the risk assessment value according to the target to determine the corrosion risk level of the pipeline.

[0108] Optionally, the pipeline corrosion risk assessment device based on the TM sensor stores the corrosion impact factor after determining the corrosion risk level of the pipeline according to the target adjusted risk assessment value.

[0109] In some embodiments of the present application, Figure 3 ,like Figure 4 As shown, in the above S301, the pipeline corrosion risk assessment device based on the TM sensor determines normal thickness data and abnormal thickness data from the pipeline thickness data in the monitoring area according to the pipeline thickness data and the standard pipeline thickness range, specifically including:

[0110] S401. When the pipeline thickness data is outside the standard pipeline thickness range, the pipeline corrosion risk assessment device based on the TM sensor determines that the pipeline thickness data is abnormal pipeline thickness data.

[0111] S402: When the pipeline thickness data is within the standard pipeline thickness range, the pipeline corrosion risk assessment device based on the TM sensor determines that the pipeline thickness data is normal pipeline thickness data.

[0112] It can be seen that by identifying normal thickness data and abnormal thickness data, the corrosion condition of the pipeline can be assessed more accurately, which not only improves the accuracy of risk assessment, but also enables the potential risks of the pipeline to be discovered in time, so as to take corresponding preventive measures.

[0113] In some embodiments of the present application, Figure 3 ,like Figure 5 As shown, in the above S301, the pipeline corrosion risk assessment device based on the TM sensor determines the initial risk assessment value of the pipeline according to the normal thickness data and the abnormal thickness data, which specifically includes:

[0114] S501. The pipeline corrosion risk assessment device based on the TM sensor establishes a normal thickness data set according to normal thickness data, and determines a first average pipeline thickness of the normal thickness data set.

[0115] S502: The pipeline corrosion risk assessment device based on the TM sensor establishes an abnormal thickness data set according to the abnormal thickness data, and determines a second average pipeline thickness of the abnormal thickness data set.

[0116] S503: The pipeline corrosion risk assessment device based on the TM sensor determines a first number of normal monitoring areas and a second number of abnormal monitoring areas.

[0117] Among them, the normal monitoring area is the monitoring area corresponding to the normal thickness data.

[0118] S504. The pipeline corrosion risk assessment device based on the TM sensor determines an initial risk assessment value according to the first average pipeline thickness, the second average pipeline thickness, the first quantity, and the second quantity.

[0119] Among them, the initial risk assessment value satisfies the following formula:

[0120]

[0121] Among them, R initial represents the initial risk assessment value, N 1 Represents the first quantity, N 2 Represents the second quantity, A 1 represents the first average pipe thickness, A 2 Represents the second average pipe thickness.

[0122] In some embodiments of the present application, Figure 3 ,like Figure 6 As shown, in the above S302, determining whether to adjust the initial risk assessment value according to the corrosion tendency index specifically includes:

[0123] S601. When the corrosion tendency index is greater than or equal to the corrosion tendency index threshold, the pipeline corrosion risk assessment device based on the TM sensor determines to adjust the initial risk assessment value.

[0124] S602: When the corrosion tendency index is less than the corrosion tendency index threshold, the pipeline corrosion risk assessment device based on the TM sensor determines not to adjust the initial risk assessment value.

[0125] It can be seen that in this way, the dynamic and real-time nature of risk assessment can be ensured, so that the corrosion condition of the pipeline can be monitored and managed more effectively. When the initial risk assessment value needs to be adjusted, the magnitude and direction of the adjustment will be determined according to the size of the corrosion tendency index. If the corrosion tendency index is high, it indicates that the pipeline has a higher corrosion risk. At this time, the initial risk assessment value needs to be increased to reflect the more serious corrosion condition; conversely, if the corrosion tendency index is low, the initial risk assessment value may be reduced, indicating that the corrosion risk of the pipeline is within an acceptable range.

[0126] In some embodiments of the present application, Figure 3 ,like Figure 7 As shown, in the above S303, the pipeline corrosion risk assessment device based on the TM sensor determines the target adjustment risk assessment value according to the corrosion influencing factor, the historical corrosion data and the initial risk assessment value, which specifically includes:

[0127] S701. When the historical corrosion data contains data identical to the corrosion influencing factor, the pipeline corrosion risk assessment device based on the TM sensor determines a target adjusted risk assessment value according to the historical risk assessment value adjustment amount and the initial risk assessment value recorded in the historical corrosion data.

[0128] It is understandable that the historical corrosion data include historical environmental characteristic data of the pipeline over a period of time in the past, and these historical environmental characteristic data cover the corrosion conditions under different environmental conditions.

[0129] It is understandable that determining the risk assessment value adjustment amount based on the comparison results can improve the accuracy of the assessment. If there is data similar to the current corrosion impact factor in the historical corrosion data, then use past experience to adjust the risk assessment value, which can reduce unnecessary data collection and analysis work and improve assessment efficiency. Conversely, if there is no data in the historical corrosion data that is the same as the current corrosion impact factor, then it is necessary to recalculate the risk assessment value by collecting the material property data of the pipeline and the transmission medium data inside the pipeline.

[0130] S702. When there is no data identical to the corrosion influencing factor in the historical corrosion data, the pipeline corrosion risk assessment device based on the TM sensor collects and determines the risk assessment value adjustment amount according to the material property data of the pipeline and the transmission medium data inside the pipeline, and determines the target adjusted risk assessment value according to the risk assessment value adjustment amount and the initial risk assessment value.

[0131] Among them, the risk assessment value adjustment amount satisfies the following formula:

[0132]

[0133] Among them, ΔR represents the risk assessment value adjustment, Cm Indicates the corrosion rate of the material, T m Indicates the corrosion resistance of the material, C p Indicates the corrosiveness of the transmission medium, T p represents the concentration of the transmission medium, λ1 represents the material influence coefficient, and λ2 represents the transmission medium influence coefficient.

[0134] It can be seen that the material property data includes the corrosion rate and corrosion resistance of the material, while the transmission medium data includes the corrosivity and concentration of the transmission medium.

[0135] It can be understood that the determination of the material influence coefficient and the transmission medium influence coefficient is based on an in-depth study of the material properties and the transmission medium properties. The material influence coefficient λ1 reflects the degree of influence of the material properties on the pipeline corrosion risk, while the transmission medium influence coefficient λ2 reflects the contribution of the transmission medium properties to the corrosion risk. For example, if a certain material has a high corrosion resistance, then under the same conditions, the value of λ1 will be relatively small, which means that the material properties contribute less to the adjustment of the risk assessment value. On the contrary, if the transmission medium is highly corrosive, then the value of λ2 will be larger, thus occupying a more important position in the adjustment of the risk assessment value. In this way, it can be ensured that the adjustment of the risk assessment value can accurately reflect the actual impact of the material and transmission medium on the pipeline corrosion risk, thereby providing more precise guidance for the maintenance and repair of the pipeline.

[0136] In some embodiments of the present application, Figure 3 ,like Figure 8 As shown, in the above S303, the corrosion risk level of the pipeline is determined according to the target adjustment risk assessment value, specifically including:

[0137] S801. The pipeline corrosion risk assessment device based on the TM sensor adds the risk assessment value adjustment amount to the initial risk assessment value to obtain a target adjusted risk assessment value.

[0138] Optionally, corrosion impact factors and risk assessment value adjustments are stored.

[0139] It is understood that the storage process includes recording each corrosion influencing factor and its corresponding risk assessment value adjustment in the database. The purpose of this is to establish a historical corrosion data archive to facilitate future data analysis and trend prediction. By recording this data, the historical changes in pipeline corrosion risk can be understood and provide a reference for future risk assessment.

[0140] S802. The pipeline corrosion risk assessment device based on the TM sensor compares the target adjusted risk assessment value with the first risk assessment threshold, the second risk assessment threshold and the third risk assessment threshold, and determines the corrosion risk level according to the comparison result.

[0141] The first risk assessment threshold is smaller than the second risk assessment threshold, and the second risk assessment threshold is smaller than the third risk assessment threshold.

[0142] In this embodiment, when the corrosion risk level is determined according to the comparison result, it includes: when the adjusted risk assessment value is less than or equal to the first risk assessment threshold, the corrosion risk level is determined to be a mild risk; when the adjusted risk assessment value is greater than the first risk assessment threshold and less than or equal to the second risk assessment threshold, the corrosion risk level is determined to be a moderate risk; when the adjusted risk assessment value is greater than the second risk assessment threshold and less than or equal to the third risk assessment threshold, the corrosion risk level is determined to be a severe risk; when the adjusted risk assessment value is greater than the third risk assessment threshold, the corrosion risk level is determined to be an extreme risk.

[0143] In some embodiments of the present application, Figure 8 ,like Fig. 9 As shown, in the above S802, the corrosion risk level is determined according to the comparison result, specifically including:

[0144] S901. When the target adjusted risk assessment value is less than or equal to a first risk assessment threshold, the pipeline corrosion risk assessment device based on the TM sensor determines that the corrosion risk level is a mild risk level.

[0145] S902: When the target adjusted risk assessment value is greater than the first risk assessment threshold and less than or equal to the second risk assessment threshold, the pipeline corrosion risk assessment device based on the TM sensor determines that the corrosion risk level is a medium risk level.

[0146] S903: When the target adjusted risk assessment value is greater than the second risk assessment threshold and less than or equal to the third risk assessment threshold, the pipeline corrosion risk assessment device based on the TM sensor determines that the corrosion risk level is a severe risk level.

[0147] S904: When the target adjusted risk assessment value is greater than a third risk assessment threshold, the pipeline corrosion risk assessment device based on the TM sensor determines that the corrosion risk level is an extreme risk level.

[0148] It is understandable that by setting different risk level thresholds, the corrosion condition of the pipeline can be managed in a graded manner. Mild risk means that the pipeline is less corroded and conventional maintenance measures can be taken; moderate risk requires enhanced monitoring and preventive maintenance; severe risk indicates that the pipeline corrosion is already serious and may require emergency repair or replacement; extreme risk means that there are serious safety hazards in the pipeline and immediate measures should be taken to avoid possible accidents. Through this hierarchical management, maintenance resources can be effectively allocated to ensure the safe and stable operation of the pipeline system. In addition, this method can also dynamically adjust the risk assessment value and risk level threshold according to factors such as the service life of the pipeline, historical maintenance records, and environmental changes to adapt to the changing actual situation.

[0149] The above mainly introduces the solution provided by the embodiment of the present application from the perspective of the method. In order to realize the above functions, it includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0150] The embodiment of the present application can divide the functional modules of the pipeline corrosion risk assessment device based on the TM sensor according to the above method example. For example, each functional module can be divided according to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of software functional modules. Optionally, the division of modules in the embodiment of the present application is schematic and is only a logical functional division. There may be other division methods in actual implementation.

[0151] like Fig.10 , which is a schematic diagram of the structure of another pipeline corrosion risk assessment device based on TM sensor provided in an embodiment of the present application. Fig.10 The pipeline corrosion risk assessment device based on TM sensor shown includes: an acquisition unit 1001 and a processing unit 1002;

[0152] The acquisition unit 1001 is used to collect the pipeline thickness data of the monitoring area based on the TM sensor; the processing unit 1002 is used to determine the normal thickness data and the abnormal thickness data from the pipeline thickness data of the monitoring area according to the pipeline thickness data and the standard pipeline thickness interval; the processing unit 1002 is used to determine the initial risk assessment value of the pipeline according to the normal thickness data and the abnormal thickness data; the monitoring area is a plurality of monitoring areas into which the pipeline is divided; each monitoring area is provided with a TM sensor; the processing unit 1002 is used to collect and determine the corrosion tendency index according to the internal flow velocity data of the pipeline and the external pressure data of the pipeline corresponding to the abnormal monitoring area, and determine whether to adjust the initial risk assessment value according to the corrosion tendency index; the abnormal monitoring area is the monitoring area corresponding to the abnormal thickness data; the processing unit 1002 is used to collect and determine the corrosion influence factor according to the environmental characteristic data corresponding to the abnormal monitoring area when determining to adjust the initial risk assessment value; the processing unit 1002 is used to determine the target adjustment risk assessment value according to the corrosion influence factor, the historical corrosion data and the initial risk assessment value; the processing unit 1002 is used to determine the corrosion risk level of the pipeline according to the target adjustment risk assessment value.

[0153] Optionally, the processing unit 1002 is further used to: when the pipeline thickness data is outside the standard pipeline thickness range, the pipeline thickness data is abnormal pipeline thickness data; when the pipeline thickness data is within the standard pipeline thickness range, the pipeline thickness data is normal pipeline thickness data.

[0154] Optionally, the processing unit 1002 is further used to establish a normal thickness data set according to the normal thickness data, and determine a first average pipeline thickness of the normal thickness data set; establish an abnormal thickness data set according to the abnormal thickness data, and determine a second average pipeline thickness of the abnormal thickness data set; determine a first number of normal monitoring areas and a second number of abnormal monitoring areas; the normal monitoring area is the monitoring area corresponding to the normal thickness data; determine an initial risk assessment value according to the first average pipeline thickness, the second average pipeline thickness, the first number, and the second number; the initial risk assessment value satisfies the following formula:

[0155]

[0156] Among them, R initial represents the initial risk assessment value, N 1 Represents the first quantity, N 2 Represents the second quantity, A 1 represents the first average pipe thickness, A 2 Represents the second average pipe thickness.

[0157] Optionally, the corrosion tendency index satisfies the following formula:

[0158]

[0159] Among them, I corrosion Represents the corrosion tendency index, V internal represents the flow velocity data inside the pipeline, γ 1 Represents the velocity weight coefficient, P external represents the external pressure data of the pipeline, γ 2 Represents the pressure weight coefficient.

[0160] Optionally, the processing unit 1002 is further used to determine whether to adjust the initial risk assessment value when the corrosion tendency index is greater than or equal to the corrosion tendency index threshold; and determine not to adjust the initial risk assessment value when the corrosion tendency index is less than the corrosion tendency index threshold.

[0161] Optionally, the environmental characteristic data includes pipeline internal temperature characteristic data, pipeline internal humidity characteristic data, pipeline internal pressure characteristic data and pipeline internal flow velocity characteristic data; pipeline external environmental data includes soil type characteristic data, soil resistivity characteristic data, groundwater level characteristic data and pipeline external temperature characteristic data; the corrosion influencing factor satisfies the following formula:

[0162]

[0163] Among them, F corrosion represents the corrosion impact factor, α 1 , α 2 , α 3 , α 4 Represents the weight coefficient of the internal environment of the pipeline, β 1 , β 2 , β 3 , β 4 Represents the weight coefficient of the external environment, T i represents the internal temperature characteristic data of the pipeline in the i-th monitoring area, H i represents the internal humidity characteristic data of the pipeline in the i-th monitoring area, P i represents the internal pressure characteristic data of the pipeline in the ith monitoring area, V i represents the internal flow velocity characteristic data of the pipeline in the i-th monitoring area, T e,i represents the external temperature characteristic data of the pipeline in the i-th monitoring area, R i represents the soil resistivity characteristic data of the ith monitoring area, G i represents the groundwater level characteristic data of the ith monitoring area, V i Represents the soil type characteristic data of the i-th monitoring area.

[0164] Optionally, the processing unit 1002 is also used to determine a target adjusted risk assessment value based on a historical risk assessment value adjustment amount and an initial risk assessment value recorded in the historical corrosion data when data identical to the corrosion influencing factor exists in the historical corrosion data; when data identical to the corrosion influencing factor does not exist in the historical corrosion data, collect and determine a risk assessment value adjustment amount based on material property data of the pipeline and transmission medium data inside the pipeline, and determine a target adjusted risk assessment value based on the risk assessment value adjustment amount and the initial risk assessment value.

[0165] Optionally, the risk assessment value adjustment amount satisfies the following formula:

[0166]

[0167] Among them, ΔR represents the risk assessment value adjustment, C m Indicates the corrosion rate of the material, T m Indicates the corrosion resistance of the material, C p Indicates the corrosiveness of the transmission medium, T p represents the concentration of the transmission medium, λ1 represents the material influence coefficient, and λ2 represents the transmission medium influence coefficient.

[0168] Optionally, the processing unit 1002 is also used to add the risk assessment value adjustment amount to the initial risk assessment value to obtain a target adjusted risk assessment value; compare the target adjusted risk assessment value with the first risk assessment threshold, the second risk assessment threshold and the third risk assessment threshold, and determine the corrosion risk level according to the comparison result; wherein the first risk assessment threshold is less than the second risk assessment threshold, and the second risk assessment threshold is less than the third risk assessment threshold.

[0169] Optionally, the processing unit 1002 is also used to, when the target adjusted risk assessment value is less than or equal to a first risk assessment threshold, the corrosion risk level is a mild risk level; when the target adjusted risk assessment value is greater than the first risk assessment threshold and less than or equal to a second risk assessment threshold, the corrosion risk level is a moderate risk level; when the target adjusted risk assessment value is greater than the second risk assessment threshold and less than or equal to a third risk assessment threshold, the corrosion risk level is a severe risk level; when the target adjusted risk assessment value is greater than the third risk assessment threshold, the corrosion risk level is an extreme risk level.

[0170] An embodiment of the present application also provides a computer-readable storage medium, which includes computer-executable instructions. When the computer-executable instructions are executed on a computer, the computer executes the data collection method provided in the above embodiment.

[0171] The embodiment of the present application also provides a computer program product, which can be directly loaded into a memory and contains software code. After the computer is loaded and executed, the computer program product can implement the data acquisition method provided in the above embodiment. Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention is described in detail with reference to the preferred embodiments, ordinary technicians in this field should understand that they can still modify or replace the technical solution of the present invention, and these modifications or equivalent replacements cannot make the modified technical solution deviate from the spirit and scope of the technical solution of the present invention.

[0172] The system provided in the above embodiment is only illustrated by the division of the above functional modules. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the modules or steps in the embodiments of the present invention can be decomposed or combined. For example, the modules in the above embodiment can be combined into one module, or further divided into multiple sub-modules to complete all or part of the functions described above. The names of the modules and steps involved in the embodiments of the present invention are only for distinguishing the modules or steps, and are not regarded as improper limitations of the present invention.

[0173] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0174] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0175] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0176] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0177] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A pipeline corrosion risk assessment method based on TM sensor, characterized in that: include: Based on the TM sensor, the pipeline thickness data of the monitoring area is collected; according to the pipeline thickness data and the standard pipeline thickness interval, normal thickness data and abnormal thickness data are determined from the pipeline thickness data of the monitoring area; according to the normal thickness data and the abnormal thickness data, an initial risk assessment value of the pipeline is determined; the monitoring area is a plurality of monitoring areas into which the pipeline is divided; each of the monitoring areas is provided with the TM sensor; Collect and determine the corrosion tendency index according to the pipeline internal flow velocity data and pipeline external pressure data corresponding to the abnormal monitoring area, and determine whether to adjust the initial risk assessment value according to the corrosion tendency index; the abnormal monitoring area is the monitoring area corresponding to the abnormal thickness data; When it is determined that the initial risk assessment value is to be adjusted, the corrosion impact factor is determined based on the environmental characteristic data corresponding to the abnormal monitoring area; the target adjustment risk assessment value is determined based on the corrosion impact factor, the historical corrosion data and the initial risk assessment value; The risk assessment value is adjusted according to the target to determine the corrosion risk level of the pipeline.

2. The pipeline corrosion risk assessment method based on TM sensor according to claim 1 is characterized in that: The determining normal thickness data and abnormal thickness data from the pipeline thickness data in the monitoring area according to the pipeline thickness data and the standard pipeline thickness interval includes: When the pipeline thickness data is outside the standard pipeline thickness range, the pipeline thickness data is the abnormal pipeline thickness data; When the pipeline thickness data is within the standard pipeline thickness range, the pipeline thickness data is the normal pipeline thickness data.

3. The pipeline corrosion risk assessment method based on TM sensor according to claim 1 is characterized in that: Determining the initial risk assessment value of the pipeline according to the normal thickness data and the abnormal thickness data includes: Establishing a normal thickness data set according to the normal thickness data, and determining a first average pipe thickness of the normal thickness data set; Establishing an abnormal thickness data set according to the abnormal thickness data, and determining a second average pipeline thickness of the abnormal thickness data set; Determine a first number of normal monitoring areas and a second number of abnormal monitoring areas; the normal monitoring areas are monitoring areas corresponding to the normal thickness data; The initial risk assessment value is determined according to the first average pipeline thickness, the second average pipeline thickness, the first quantity, and the second quantity; the initial risk assessment value satisfies the following formula: Among them, R initial represents the initial risk assessment value, N1 represents the first quantity, N2 represents the second quantity, A1 represents the first average pipeline thickness, and A2 represents the second average pipeline thickness.

4. The pipeline corrosion risk assessment method based on TM sensor according to claim 1 is characterized in that: The corrosion tendency index satisfies the following formula: Among them, I corrosion Denotes the corrosion tendency index, V internal represents the flow velocity data inside the pipeline, γ1 represents the flow velocity weight coefficient, P external represents the external pressure data of the pipeline, and γ2 represents the pressure weight coefficient.

5. The pipeline corrosion risk assessment method based on TM sensor according to claim 4 is characterized in that: The determining whether to adjust the initial risk assessment value according to the corrosion tendency index includes: When the corrosion tendency index is greater than or equal to the corrosion tendency index threshold, determining to adjust the initial risk assessment value; When the corrosion tendency index is less than the corrosion tendency index threshold, it is determined not to adjust the initial risk assessment value.

6. The pipeline corrosion risk assessment method based on TM sensor according to claim 1 is characterized in that: The environmental characteristic data include pipeline internal temperature characteristic data, pipeline internal humidity characteristic data, pipeline internal pressure characteristic data and pipeline internal flow velocity characteristic data; the pipeline external environmental data include soil type characteristic data, soil resistivity characteristic data, groundwater level characteristic data and pipeline external temperature characteristic data; the corrosion influencing factor satisfies the following formula: Among them, F corrosion represents the corrosion influencing factor, α1, α2, α3, α4 represent the weight coefficients of the internal environment of the pipeline, β1, β2, β3, β4 represent the weight coefficients of the external environment, T i represents the internal temperature characteristic data of the pipeline in the i-th monitoring area, H i represents the internal humidity characteristic data of the pipeline in the i-th monitoring area, P i represents the internal pressure characteristic data of the pipeline in the ith monitoring area, V i represents the internal flow velocity characteristic data of the pipeline in the i-th monitoring area, T e,i represents the external temperature characteristic data of the pipeline in the i-th monitoring area, R i represents the soil resistivity characteristic data of the ith monitoring area, G i represents the groundwater level characteristic data of the ith monitoring area, V i Represents the soil type characteristic data of the i-th monitoring area.

7. The pipeline corrosion risk assessment method based on TM sensor according to claim 1 is characterized in that: The step of determining the target adjusted risk assessment value according to the corrosion impact factor, historical corrosion data and the initial risk assessment value comprises: When the historical corrosion data contains data identical to the corrosion impact factor, determining the target adjusted risk assessment value according to the historical risk assessment value adjustment amount recorded in the historical corrosion data and the initial risk assessment value; When there is no data identical to the corrosion influencing factor in the historical corrosion data, the target adjusted risk assessment value adjustment amount is collected and determined based on the material property data of the pipeline and the transmission medium data inside the pipeline, and the target adjusted risk assessment value is determined based on the risk assessment value adjustment amount and the initial risk assessment value.

8. The pipeline corrosion risk assessment method based on TM sensor according to claim 7 is characterized in that: The risk assessment value adjustment amount satisfies the following formula: Wherein, ΔR represents the risk assessment value adjustment amount, C m represents the corrosion rate of the material, T m Indicates the corrosion resistance of the material, C p Indicates the corrosiveness of the transmission medium, T p represents the concentration of the transmission medium, λ1 represents the material influence coefficient, and λ2 represents the transmission medium influence coefficient.

9. The pipeline corrosion risk assessment method based on TM sensor according to claim 1 is characterized in that: The step of adjusting the risk assessment value according to the target to determine the corrosion risk level of the pipeline includes: Adding the risk assessment value adjustment amount to the initial risk assessment value to obtain the target adjusted risk assessment value; Comparing the target adjusted risk assessment value with the first risk assessment threshold, the second risk assessment threshold, and the third risk assessment threshold, and determining the corrosion risk level according to the comparison result; The first risk assessment threshold is smaller than the second risk assessment threshold, and the second risk assessment threshold is smaller than the third risk assessment threshold.

10. The pipeline corrosion risk assessment method based on TM sensor according to claim 9 is characterized in that: Determining the corrosion risk level according to the comparison result includes: When the target adjusted risk assessment value is less than or equal to the first risk assessment threshold, the corrosion risk level is a mild risk level; When the target adjusted risk assessment value is greater than the first risk assessment threshold and less than or equal to the second risk assessment threshold, the corrosion risk level is a moderate risk level; When the target adjusted risk assessment value is greater than the second risk assessment threshold and less than or equal to the third risk assessment threshold, the corrosion risk level is a severe risk level; When the target adjusted risk assessment value is greater than the third risk assessment threshold, the corrosion risk level is an extreme risk level.

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