Intelligent pipeline monitoring system and method based on Internet of Things

Abstract

The invention discloses an intelligent pipeline monitoring system and method based on the Internet of Things, relates to the field of pipeline transportation, and solves the problem that an existing pipeline monitoring system is poor in monitoring effect. The pipeline pressure monitoring data module is used for carrying out pipeline local vibration monitoring on each pipeline monitoring area, obtaining an area vibration change rate corresponding to each pipeline monitoring area according to a monitoring result, obtaining pipeline vibration monitoring data, and sending the pipeline vibration monitoring data to the data processing module; and the monitoring and early warning module is used for carrying out monitoring and early warning on each pipeline monitoring area in the target pipeline according to the pipeline vibration monitoring data. According to the invention, the pertinence and the accuracy of the pipeline monitoring process can be improved.

Description

Technical Field

[0001] The present invention belongs to the field of pipeline transportation, relates to Internet of Things technology, and specifically is an intelligent pipeline monitoring system and method based on the Internet of Things. Background Art

[0002] When the existing intelligent pipeline monitoring system monitors the transportation pipeline, the following specific defects exist:

[0003] 1. When the existing intelligent pipeline monitoring system monitors the pressure of the transportation pipeline, it cannot separately monitor the pressure deviation of static pipelines and dynamic pipelines, resulting in a lack of pertinence in the pressure monitoring results;

[0004] 2. When the existing intelligent pipeline monitoring system monitors the pressure of the transportation pipeline, it cannot monitor the vibration intensity of the transportation pipeline in different flow states, resulting in a lack of accuracy in the vibration monitoring results.

[0005] Therefore, we propose an intelligent pipeline monitoring system and method based on the Internet of Things. Summary of the Invention

[0006] Aiming at the deficiencies of the existing technology, the object of the present invention is to provide an intelligent pipeline monitoring system and method based on the Internet of Things, and the present invention aims to improve the pertinence and accuracy of the transportation pipeline monitoring process;

[0007] To achieve the above object, the present invention adopts the following technical solutions: For the intelligent pipeline monitoring system based on the Internet of Things, the specific working processes of each module are as follows:

[0008] Pressure data module: Divide the target pipeline into several pipeline monitoring areas, respectively conduct periodic pressure value monitoring on each pressure monitoring sub-area, obtain the periodic pressure anomaly coefficient corresponding to each pressure monitoring sub-area according to the monitoring results, and obtain the pipeline pressure monitoring data;

[0009] Vibration data module: Conduct local pipeline vibration monitoring on each pipeline monitoring area according to the pipeline pressure monitoring data, obtain the regional vibration change rate corresponding to each pipeline monitoring area according to the monitoring results, and obtain the pipeline vibration monitoring data;

[0010] Monitoring and warning module: Conduct monitoring and warning on each pipeline monitoring area in the target pipeline according to the pipeline vibration monitoring data and the pipeline vibration monitoring data.

[0011] Furthermore, the acquisition of the pipeline pressure monitoring data is specifically as follows:

[0012] Obtain the pipeline routes that need to be intelligently monitored, arbitrarily select a target pipeline from the obtained several pipeline routes, divide the target pipeline into several pipeline monitoring areas, and name the obtained several pipeline monitoring areas as G1 pipeline monitoring area to Ga pipeline monitoring area;

[0013] Conduct pipeline pressure monitoring on the G1 pipeline monitoring area, and obtain the periodic pressure monitoring coefficient corresponding to the G1 pipeline monitoring area according to the monitoring results;

[0014] Repeat the process of obtaining the periodic pressure monitoring coefficient corresponding to the G1 pipeline monitoring area, and obtain the periodic pressure monitoring coefficients corresponding to the G2 pipeline monitoring area to Ga pipeline monitoring area respectively to obtain periodic pressure data;

[0015] Define the periodic pressure data and the G1 pipeline monitoring area to Ga pipeline monitoring area as pipeline pressure monitoring data.

[0016] Furthermore, obtain the periodic pressure monitoring coefficient corresponding to the G1 pipeline monitoring area as follows:

[0017] Use an electromagnetic flowmeter to obtain the real-time pipeline liquid flow rate in the G1 pipeline monitoring area to obtain the pipeline liquid flow rate value. Mark the time period when the pipeline liquid flow rate value in the G1 pipeline monitoring area is equal to 0 as the pipeline static time period, and mark the time period when the pipeline liquid flow rate value in the G1 pipeline monitoring area is not equal to 0 as the pipeline dynamic time period;

[0018] Conduct pressure monitoring on the pipeline static time period, and obtain the pipeline static pressure deviation corresponding to the G1 pipeline monitoring area according to the monitoring results;

[0019] Conduct pressure monitoring on the pipeline dynamic time period, and obtain the pipeline dynamic pressure deviation corresponding to the G1 pipeline monitoring area according to the monitoring results;

[0020] Calculate the periodic pressure monitoring coefficient corresponding to the G1 pipeline monitoring area from the pipeline dynamic pressure deviation and the pipeline static pressure deviation;

[0021] Calculate the periodic pressure monitoring coefficient corresponding to the G1 pipeline monitoring area. The specific formula is as follows:

[0022] ;

[0023] Among them, Gyl1 is the periodic pressure monitoring coefficient corresponding to the G1 pipeline monitoring area, Dyp is the pipeline dynamic pressure deviation, and Jyp is the pipeline static pressure deviation.

[0024] Furthermore, obtain the pipeline static pressure deviation corresponding to the G1 pipeline monitoring area as follows:

[0025] Select several static pressure monitoring points with equal time intervals during the static period of the pipeline, and respectively obtain the pipeline static pressure values corresponding to each static pressure monitoring point in the monitoring area of pipeline G1, so as to obtain multiple pipeline static pressure values;

[0026] Obtain the static pressure reference interval corresponding to the target pipeline. If the pipeline static pressure value is within the static pressure reference interval, assign the value "0" to the pipeline static pressure deviation;

[0027] If the pipeline static pressure value is not within the static pressure reference interval and the pipeline static pressure value is greater than the upper limit of the static pressure reference interval, calculate the difference between the pipeline static pressure value and the upper limit of the static pressure reference interval, and take the absolute value of the obtained difference to obtain the pipeline static pressure deviation;

[0028] If the pipeline static pressure value is not within the static pressure reference interval and the pipeline static pressure value is less than the lower limit of the static pressure reference interval, calculate the difference between the pipeline static pressure value and the lower limit of the static pressure reference interval, and take the absolute value of the obtained difference to obtain the pipeline static pressure deviation;

[0029] Calculate the average value of the obtained pipeline static pressure deviations to obtain the pipeline static pressure deviation corresponding to the monitoring area of pipeline G1.

[0030] Furthermore, obtain the pipeline dynamic pressure deviation corresponding to the monitoring area of pipeline G1, specifically as follows:

[0031] Select several dynamic pressure monitoring points with equal time intervals during the dynamic period of the pipeline, and respectively obtain the pipeline dynamic pressure values corresponding to each dynamic pressure monitoring point in the monitoring area of pipeline G1, so as to obtain multiple pipeline dynamic pressure values;

[0032] Obtain the dynamic pressure reference interval corresponding to the target pipeline. If the pipeline dynamic pressure value is within the dynamic pressure reference interval, assign the value "0" to the pipeline dynamic pressure deviation;

[0033] If the pipeline dynamic pressure value is not within the dynamic pressure reference interval and the pipeline dynamic pressure value is greater than the upper limit of the dynamic pressure reference interval, calculate the difference between the pipeline dynamic pressure value and the upper limit of the dynamic pressure reference interval, and take the absolute value of the obtained difference to obtain the pipeline dynamic pressure deviation;

[0034] If the pipeline dynamic pressure value is not within the dynamic pressure reference interval and the pipeline dynamic pressure value is less than the lower limit of the dynamic pressure reference interval, calculate the difference between the pipeline dynamic pressure value and the lower limit of the dynamic pressure reference interval, and take the absolute value of the obtained difference to obtain the pipeline dynamic pressure deviation;

[0035] Calculate the average value of the obtained pipeline dynamic pressure deviation to obtain the pipeline dynamic pressure deviation corresponding to the monitoring area of pipeline G1.

[0036] Furthermore, obtain the pipeline vibration monitoring data as follows:

[0037] Obtain the pipeline pressure monitoring data, and respectively obtain the monitoring areas from pipeline G1 to pipeline Ga according to the pipeline pressure monitoring data;

[0038] During the process of vibration monitoring of the target pipeline, mark the time value corresponding to the current moment as the end time point of the cycle, mark a pipeline vibration monitoring cycle, select several vibration monitoring time points with the same time interval within the pipeline vibration monitoring cycle, and name the selected several vibration monitoring time points in sequence according to the time sequence as vibration monitoring time point Z1 to vibration monitoring time point Zb;

[0039] Conduct periodic vibration monitoring on the monitoring area of pipeline G1 during the pipeline vibration monitoring cycle, and obtain the regional vibration change rate corresponding to the monitoring area of pipeline G1 according to the monitoring results;

[0040] Repeat the process of obtaining the regional vibration change rate corresponding to the monitoring area of pipeline G1, and respectively obtain the regional vibration change rates corresponding to the monitoring areas from pipeline G2 to pipeline Ga to obtain the pipeline vibration monitoring data.

[0041] Furthermore, obtain the regional vibration change rate corresponding to the monitoring area of pipeline G1 as follows:

[0042] Obtain the pipeline water level cross-section heights of the monitoring area of pipeline G1 at vibration monitoring time point Z1 to vibration monitoring time point Zb to obtain water level height values Z1 to Zb;

[0043] Obtain the pipeline water body flow velocities of the monitoring area of pipeline G1 at vibration monitoring time point Z1 to vibration monitoring time point Zb to obtain water body flow velocity values Z1 to Zb;

[0044] Calculate the product of water level height value Z1 and water body flow velocity value Z1 to obtain water body flow index value Z1, calculate the product of water level height value Z2 and water body flow velocity value Z2 to obtain water body flow index value Z2, and so on, calculate the product of water level height value Zb and water body flow velocity value Zb to obtain water body flow index value Zb;

[0045] Obtain the pipeline regional vibration intensity values of the monitoring area of pipeline G1 at vibration monitoring time point Z1 to vibration monitoring time point Zb to obtain pipeline vibration intensity values Z1 to Zb.

[0046] Further, obtain the regional vibration change rate corresponding to the G1 pipeline monitoring area as follows:

[0047] In the existing rectangular coordinate system, set the water flow index value as the abscissa, set the pipeline vibration intensity value as the ordinate, mark the coordinate point with the Z1 water level height value as the abscissa and the Z1 pipeline vibration intensity value as the ordinate to obtain the Z1 vibration coordinate point, and so on. Mark the coordinate point with the Zb water level height value as the abscissa and the Zb pipeline vibration intensity value as the ordinate to obtain the Zb vibration coordinate point. Connect the Z1 vibration coordinate point to the Zb vibration coordinate point in sequence in the rectangular coordinate system to obtain the pipeline vibration broken line graph;

[0048] In the pipeline vibration broken line graph, obtain the coordinates of the Z1 vibration coordinate point and the Z2 vibration coordinate point respectively to obtain the Z1 characteristic coordinates (x1, y1) and the Z2 characteristic coordinates (x2, y2);

[0049] Calculate the slope value of the line connecting the Z1 vibration coordinate point and the Z2 vibration coordinate point from the Z1 characteristic coordinates (x1, y1) and the Z2 characteristic coordinates (x2, y2) to obtain the Z1 characteristic slope value;

[0050] Calculate the Z1 characteristic slope value. The specific formula is as follows:

[0051] ;

[0052] Among them, Xtz1 is the Z1 characteristic slope value, (x1, y1) are the Z1 characteristic coordinates, and (x2, y2) are the Z2 characteristic coordinates;

[0053] Repeat the Z1 characteristic slope value, and obtain the connection slope values between every two consecutive vibration coordinate points respectively to obtain the Z2 characteristic slope value to the Zb-1 characteristic slope value;

[0054] Calculate the average value of the Z1 characteristic slope value to the Zb-1 characteristic slope value to obtain the regional vibration change rate corresponding to the G1 pipeline monitoring area.

[0055] Further, conduct monitoring and early warning on the pipeline monitoring area as follows:

[0056] Obtain the pipeline pressure monitoring data, and obtain the periodic pressure monitoring coefficients corresponding to the G1 pipeline monitoring area to the Ga pipeline monitoring area according to the pipeline pressure monitoring data;

[0057] Obtain the pipeline vibration monitoring data, and obtain the regional vibration change rates corresponding to the G1 pipeline monitoring area to the Ga pipeline monitoring area respectively according to the pipeline vibration monitoring data;

[0058] Obtain the reference interval of the periodic pressure monitoring coefficient and the reference interval of the regional vibration change rate respectively;

[0059] If the periodic pressure monitoring coefficient is within the reference interval of the periodic pressure monitoring coefficient and the regional vibration change rate is within the reference interval of the regional vibration change rate, it is determined that there is no pipeline anomaly in the corresponding pipeline monitoring area;

[0060] If the periodic pressure monitoring coefficient is not within the reference interval of the periodic pressure monitoring coefficient and the regional vibration change rate is within the reference interval of the regional vibration change rate, it is determined that there is a pipeline anomaly in the corresponding pipeline monitoring area;

[0061] If the periodic pressure monitoring coefficient is within the reference interval of the periodic pressure monitoring coefficient and the regional vibration change rate is not within the reference interval of the regional vibration change rate, it is determined that there is a pipeline anomaly in the corresponding pipeline monitoring area;

[0062] If the periodic pressure monitoring coefficient is not within the reference interval of the periodic pressure monitoring coefficient and the regional vibration change rate is not within the reference interval of the regional vibration change rate, it is determined that there is a pipeline anomaly in the corresponding pipeline monitoring area.

[0063] An intelligent pipeline monitoring method based on the Internet of Things includes the following specific steps:

[0064] Step S1: Divide the target pipeline into several pipeline monitoring areas, periodically monitor the pressure values of each pressure monitoring sub-area respectively, and obtain the periodic pressure anomaly coefficient corresponding to each pressure monitoring sub-area according to the monitoring results to obtain pipeline pressure monitoring data;

[0065] Step S2: Perform pipeline local vibration monitoring on each pipeline monitoring area according to the pipeline pressure monitoring data, and obtain the regional vibration change rate corresponding to each pipeline monitoring area according to the monitoring results to obtain pipeline vibration monitoring data;

[0066] Step S3: Perform monitoring and early warning on each pipeline monitoring area in the target pipeline according to the pipeline vibration monitoring data and the pipeline vibration monitoring data.

[0067] In summary, due to the adoption of the above technical solutions, the beneficial effects of the present invention are:

[0068] 1. The present invention divides the target pipeline into several pipeline monitoring areas, periodically monitors the pressure values of each pressure monitoring sub-area respectively, and obtains the pipeline dynamic pressure deviation and pipeline static pressure deviation corresponding to each pressure monitoring sub-area according to the monitoring results, which can effectively improve the pertinence of pipeline pressure monitoring;

[0069] 2. The present invention monitors the vibration intensity of transportation pipelines in different flow states, which can improve the accuracy of pipeline vibration monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] For the convenience of those skilled in the art to understand, the present invention will be further described below in conjunction with the accompanying drawings.

[0071] Figure 1 It is the overall system block diagram of the present invention;

[0072] Figure 2 It is the implementation step diagram of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0073] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0074] Embodiment 1

[0075] Please refer to Figure 1 , the present invention provides a technical solution: an intelligent pipeline monitoring system based on the Internet of Things, including a pressure data module, a vibration data module, a monitoring and warning module, and a server. The pressure data module, the vibration data module, and the monitoring and warning module are respectively connected to the server, and the server controls the pressure data module, the vibration data module, and the monitoring and warning module respectively;

[0076] The pressure data module divides the target pipeline into several pipeline monitoring areas, periodically monitors the pressure values of each pressure monitoring sub-area, and obtains the periodic pressure anomaly coefficient corresponding to each pressure monitoring sub-area according to the monitoring results, so as to obtain the pipeline pressure monitoring data;

[0077] Specifically as follows:

[0078] Obtain the pipeline lines that need to be intelligently monitored, and arbitrarily select a target pipeline from the obtained several pipeline lines. Divide the target pipeline into several pipeline monitoring areas, and name the obtained several pipeline monitoring areas as G1 pipeline monitoring area to Ga pipeline monitoring area respectively;

[0079] It should be noted here that:

[0080] In this application, G involved here is the symbol corresponding to the pipeline monitoring area, and a designed here is the numerical value corresponding to the number of pipeline monitoring areas, and a is an integer greater than 0.

[0081] The target pipeline involved in this application is specifically a liquid transportation pipeline.

[0082] Monitor the pipeline pressure in the monitoring area of pipeline G1, and obtain the periodic pressure monitoring coefficient corresponding to the monitoring area of pipeline G1 according to the monitoring results;

[0083] Specifically as follows:

[0084] Use an electromagnetic flowmeter to obtain the pipeline liquid flow rate in real time in the monitoring area of pipeline G1, obtain the pipeline liquid flow rate value, mark the time period when the pipeline liquid flow rate value in the monitoring area of pipeline G1 is equal to 0 as the pipeline static time period, and mark the time period when the pipeline liquid flow rate value in the monitoring area of pipeline G1 is not equal to 0 as the pipeline dynamic time period;

[0085] Monitor the pressure during the pipeline static time period, and obtain the pipeline static pressure deviation corresponding to the monitoring area of pipeline G1 according to the monitoring results;

[0086] Specifically as follows:

[0087] Select several static pressure monitoring points with equal time intervals during the pipeline static time period, and respectively obtain the pipeline static pressure values corresponding to each static pressure monitoring point in the monitoring area of pipeline G1, to obtain multiple pipeline static pressure values;

[0088] It should be noted here that:

[0089] In this application, the pipeline static pressure value involved here is specifically the pressure value corresponding to the bottom of the pipeline.

[0090] Obtain the static pressure reference interval corresponding to the target pipeline. If the pipeline static pressure value is within the static pressure reference interval, assign the value "0" to the pipeline static pressure deviation;

[0091] It should be noted here that:

[0092] In this application, the upper limit of the static pressure reference interval involved here is specifically the pipeline bottom pressure value corresponding to the highest value of the pipeline static water level height, and the lower limit of the static pressure reference interval involved here is specifically the pipeline bottom pressure value corresponding to the lowest value of the pipeline static water level height;

[0093] In this application, the pipeline static pressure values assigned the value "0" to the pipeline static pressure deviation include the boundaries of the static pressure reference interval.

[0094] If the pipeline static pressure value is not within the static pressure reference interval and the pipeline static pressure value is greater than the upper limit of the static pressure reference interval, calculate the difference between the pipeline static pressure value and the upper limit of the static pressure reference interval, and take the absolute value of the obtained difference to obtain the pipeline static pressure deviation;

[0095] If the static pressure value of the pipeline is not within the static pressure reference range and the static pressure value of the pipeline is less than the lower limit of the static pressure reference range, calculate the difference between the static pressure value of the pipeline and the lower limit of the static pressure reference range, and take the absolute value of the obtained difference to obtain the pipeline static pressure deviation;

[0096] Calculate the average value of the obtained pipeline static pressure deviation to obtain the pipeline static pressure deviation corresponding to the monitoring area of pipeline G1;

[0097] Monitor the pressure during the dynamic period of the pipeline, and obtain the pipeline dynamic pressure deviation corresponding to the monitoring area of pipeline G1 according to the monitoring results;

[0098] Specifically as follows:

[0099] Select several dynamic pressure monitoring points with equal time intervals during the dynamic period of the pipeline, and respectively obtain the pipeline dynamic pressure values corresponding to the monitoring area of pipeline G1 at each dynamic pressure monitoring point to obtain multiple pipeline dynamic pressure values;

[0100] It should be noted here that:

[0101] In this application, the pipeline dynamic pressure value involved here is specifically the pressure value corresponding to the bottom of the pipeline.

[0102] Obtain the dynamic pressure reference range corresponding to the target pipeline. If the pipeline dynamic pressure value is within the dynamic pressure reference range, assign the value "0" to the pipeline dynamic pressure deviation;

[0103] It should be noted here that:

[0104] In this application, the upper limit of the dynamic pressure reference range involved here is specifically the pipeline bottom pressure value corresponding to the highest value of the pipeline dynamic water level height, and the lower limit of the dynamic pressure reference range involved here is specifically the pipeline bottom pressure value corresponding to the lowest value of the pipeline dynamic water level height;

[0105] In this application, the pipeline dynamic pressure values assigned the value "0" to the pipeline dynamic pressure deviation include the boundaries of the dynamic pressure reference range.

[0106] If the pipeline dynamic pressure value is not within the dynamic pressure reference range and the pipeline dynamic pressure value is greater than the upper limit of the dynamic pressure reference range, calculate the difference between the pipeline dynamic pressure value and the upper limit of the dynamic pressure reference range, and take the absolute value of the obtained difference to obtain the pipeline dynamic pressure deviation;

[0107] If the dynamic pressure value of the pipeline is not within the dynamic pressure reference range and the dynamic pressure value of the pipeline is less than the lower limit of the dynamic pressure reference range, calculate the difference between the dynamic pressure value of the pipeline and the lower limit of the dynamic pressure reference range, and take the absolute value of the obtained difference to obtain the pipeline dynamic pressure deviation;

[0108] Calculate the average value of the obtained pipeline dynamic pressure deviation to obtain the pipeline dynamic pressure deviation corresponding to the monitoring area of pipeline G1;

[0109] Obtain the periodic pressure monitoring coefficient corresponding to the monitoring area of pipeline G1 by calculating the pipeline dynamic pressure deviation and the pipeline static pressure deviation;

[0110] Calculate the periodic pressure monitoring coefficient corresponding to the monitoring area of pipeline G1. The specific formula is as follows:

[0111] ;

[0112] Wherein, Gyl1 is the periodic pressure monitoring coefficient corresponding to the monitoring area of pipeline G1, Dyp is the pipeline dynamic pressure deviation, and Jyp is the pipeline static pressure deviation;

[0113] Repeat the process of obtaining the periodic pressure monitoring coefficient corresponding to the monitoring area of pipeline G1, and obtain the periodic pressure monitoring coefficients corresponding to the monitoring areas of pipelines G2 to Ga respectively to obtain periodic pressure data;

[0114] Define the periodic pressure data and the monitoring areas of pipelines G1 to Ga as pipeline pressure monitoring data;

[0115] The vibration data module performs local pipeline vibration monitoring on each pipeline monitoring area according to the pipeline pressure monitoring data, and obtains the regional vibration change rate corresponding to each pipeline monitoring area according to the monitoring results to obtain pipeline vibration monitoring data;

[0116] Specifically as follows:

[0117] Obtain the pipeline pressure monitoring data, and respectively obtain the monitoring areas of pipelines G1 to Ga according to the pipeline pressure monitoring data;

[0118] During the process of vibration monitoring of the target pipeline, the time value corresponding to the current moment is marked as the end time point of the cycle. Mark a pipeline vibration monitoring cycle, and select a number of vibration monitoring time points with the same time interval within the pipeline vibration monitoring cycle, and name the selected vibration monitoring time points in sequence according to the time sequence as vibration monitoring time points Z1 to Zb;

[0119] It should be noted here that:

[0120] In this application, Z involved here is the symbol corresponding to the vibration monitoring time point, and a designed here is the numerical value corresponding to the vibration monitoring time point;

[0121] Perform periodic vibration monitoring on the monitoring area of pipeline G1 during the pipeline vibration monitoring period, and obtain the regional vibration change rate corresponding to the monitoring area of pipeline G1 according to the monitoring results;

[0122] Specifically as follows:

[0123] Obtain the pipeline water level cross-section heights of the monitoring area of pipeline G1 from the vibration monitoring time point Z1 to the vibration monitoring time point Zb, and obtain the water level height values from Z1 to Zb;

[0124] Obtain the water body flow velocities of the pipeline in the monitoring area of pipeline G1 from the vibration monitoring time point Z1 to the vibration monitoring time point Zb, and obtain the water body flow velocity values from Z1 to Zb;

[0125] Calculate the product of the water level height value of Z1 and the water body flow velocity value of Z1 to obtain the water body flow rate index value of Z1, calculate the product of the water level height value of Z2 and the water body flow velocity value of Z2 to obtain the water body flow rate index value of Z2, and so on, calculate the product of the water level height value of Zb and the water body flow velocity value of Zb to obtain the water body flow rate index value of Zb;

[0126] Obtain the pipeline area vibration intensity values of the monitoring area of pipeline G1 from the vibration monitoring time point Z1 to the vibration monitoring time point Zb, and obtain the pipeline vibration intensity values from Z1 to Zb;

[0127] In the existing plane rectangular coordinate system, set the water body flow rate index value as the abscissa, set the pipeline vibration intensity value as the ordinate, mark the coordinate point with the water level height value of Z1 as the abscissa and the pipeline vibration intensity value of Z1 as the ordinate to obtain the vibration coordinate point of Z1, and so on, mark the coordinate point with the water level height value of Zb as the abscissa and the pipeline vibration intensity value of Zb as the ordinate to obtain the vibration coordinate point of Zb, and connect the vibration coordinate points of Z1 to Zb in sequence in the plane rectangular coordinate system to obtain the pipeline vibration broken line graph;

[0128] In the pipeline vibration broken line graph, obtain the coordinates of the vibration coordinate point of Z1 and the vibration coordinate point of Z2 respectively to obtain the characteristic coordinates of Z1 (x1, y1) and the characteristic coordinates of Z2 (x2, y2);

[0129] Calculate the connection slope value between the vibration coordinate point of Z1 and the vibration coordinate point of Z2 from the characteristic coordinates of Z1 (x1, y1) and the characteristic coordinates of Z2 (x2, y2) to obtain the characteristic slope value of Z1;

[0130] Calculate the slope value of the Z1 feature. The specific formula is as follows:

[0131] ;

[0132] Where Xtz1 is the slope value of the Z1 feature, (x1, y1) is the coordinate of the Z1 feature, and (x2, y2) is the coordinate of the Z2 feature;

[0133] Repeat the calculation of the slope value of the Z1 feature, and obtain the slope values of the lines connecting every two consecutive vibration coordinate points respectively to get the slope values of the Z2 feature to the Zb-1 feature;

[0134] Calculate the average of the slope values of the Z1 feature to the Zb-1 feature to obtain the regional vibration change rate corresponding to the G1 pipeline monitoring area;

[0135] Repeat the process of obtaining the regional vibration change rate corresponding to the G1 pipeline monitoring area, and obtain the regional vibration change rates corresponding to the G2 pipeline monitoring area to the Ga pipeline monitoring area respectively to get the pipeline vibration monitoring data.

[0136] The monitoring and early warning module monitors and gives early warnings to each pipeline monitoring area in the target pipeline according to the pipeline vibration monitoring data and the pipeline vibration monitoring data;

[0137] Specifically as follows:

[0138] Obtain the pipeline pressure monitoring data, and obtain the periodic pressure monitoring coefficients corresponding to the G1 pipeline monitoring area to the Ga pipeline monitoring area according to the pipeline pressure monitoring data;

[0139] Obtain the pipeline vibration monitoring data, and obtain the regional vibration change rates corresponding to the G1 pipeline monitoring area to the Ga pipeline monitoring area respectively according to the pipeline vibration monitoring data;

[0140] Obtain the periodic pressure monitoring coefficient reference interval and the regional vibration change rate reference interval respectively;

[0141] It should be noted here that:

[0142] The process of obtaining the periodic pressure monitoring coefficient reference interval is as follows:

[0143] Obtain the historical monitoring data corresponding to the target pipeline. Select several historical monitoring regions in the normal state from the historical monitoring data, and respectively obtain the periodic pressure monitoring coefficients corresponding to each historical monitoring region. Calculate the average of the obtained multiple periodic pressure monitoring coefficients to obtain the first periodic pressure monitoring coefficient eigenvalue. Calculate the standard deviation of the obtained multiple periodic pressure monitoring coefficients to obtain the second periodic pressure monitoring coefficient eigenvalue. Calculate the sum of the first periodic pressure monitoring coefficient eigenvalue and the second periodic pressure monitoring coefficient eigenvalue to obtain the upper limit of the periodic pressure monitoring coefficient reference interval. Calculate the difference between the first periodic pressure monitoring coefficient eigenvalue and the second periodic pressure monitoring coefficient eigenvalue to obtain the lower limit of the periodic pressure monitoring coefficient reference interval;

[0144] Obtain the reference interval of the regional vibration change rate as follows:

[0145] Obtain the historical monitoring data corresponding to the target pipeline. Select several historical monitoring regions in the normal state from the historical monitoring data, and respectively obtain the regional vibration change rates corresponding to each historical monitoring region. Calculate the average of the obtained multiple regional vibration change rates to obtain the first regional vibration change rate eigenvalue. Calculate the standard deviation of the obtained multiple regional vibration change rates to obtain the second regional vibration change rate eigenvalue. Calculate the sum of the first regional vibration change rate eigenvalue and the second regional vibration change rate eigenvalue to obtain the upper limit of the regional vibration change rate reference interval. Calculate the difference between the first regional vibration change rate eigenvalue and the second regional vibration change rate eigenvalue to obtain the lower limit of the regional vibration change rate reference interval;

[0146] If the periodic pressure monitoring coefficient is within the periodic pressure monitoring coefficient reference interval and the regional vibration change rate is within the regional vibration change rate reference interval, then it is determined that there is no pipeline abnormality in the corresponding pipeline monitoring region;

[0147] If the periodic pressure monitoring coefficient is not within the periodic pressure monitoring coefficient reference interval and the regional vibration change rate is within the regional vibration change rate reference interval, then it is determined that there is a pipeline abnormality in the corresponding pipeline monitoring region, and an abnormality warning is issued for the pipeline monitoring abnormal region;

[0148] If the periodic pressure monitoring coefficient is within the periodic pressure monitoring coefficient reference interval and the regional vibration change rate is not within the regional vibration change rate reference interval, then it is determined that there is a pipeline abnormality in the corresponding pipeline monitoring region, and an abnormality warning is issued for the pipeline monitoring abnormal region;

[0149] If the periodic pressure monitoring coefficient is not within the periodic pressure monitoring coefficient reference interval and the regional vibration change rate is not within the regional vibration change rate reference interval, then it is determined that there is a pipeline abnormality in the corresponding pipeline monitoring region, and an abnormality warning is issued for the pipeline monitoring abnormal region.

[0150] In this application, if there are corresponding calculation formulas, the above calculation formulas are all dimensionless and only take their numerical values for calculation. Coefficients such as weight coefficients and proportionality coefficients in the formulas are set in such a way that the size is a result value obtained by quantifying each parameter. Regarding the sizes of the weight coefficient and the proportionality coefficient, as long as the proportional relationship between the parameters and the result value is not affected.

[0151] Embodiment Two

[0152] Please refer to Figure 2 , based on another concept of the same invention, a smart pipeline monitoring method based on the Internet of Things is proposed, which is applied to a smart pipeline monitoring system based on the Internet of Things. The smart pipeline monitoring method includes the following steps:

[0153] Step S1: Divide the target pipeline into several pipeline monitoring areas, respectively perform periodic pressure value monitoring on each pressure monitoring sub-area, and obtain the periodic pressure anomaly coefficient corresponding to each pressure monitoring sub-area according to the monitoring results, so as to obtain pipeline pressure monitoring data;

[0154] In the step S1, the following specific steps are further included:

[0155] Obtain the pipeline lines that need to be intelligently monitored, and arbitrarily select a target pipeline from the obtained several pipeline lines. Divide the target pipeline into several pipeline monitoring areas, and name the obtained several pipeline monitoring areas as G1 pipeline monitoring area to Ga pipeline monitoring area respectively;

[0156] Perform pipeline pressure monitoring on the G1 pipeline monitoring area, and obtain the periodic pressure monitoring coefficient corresponding to the G1 pipeline monitoring area according to the monitoring results;

[0157] Specifically as follows:

[0158] Use an electromagnetic flowmeter to obtain the real-time pipeline liquid flow velocity in the G1 pipeline monitoring area, obtain the pipeline liquid flow velocity value, mark the time period when the pipeline liquid flow velocity value in the G1 pipeline monitoring area is equal to 0 as the pipeline static time period, and mark the time period when the pipeline liquid flow velocity value in the G1 pipeline monitoring area is not equal to 0 as the pipeline dynamic time period;

[0159] Perform pressure monitoring on the pipeline static time period, and obtain the pipeline static pressure deviation corresponding to the G1 pipeline monitoring area according to the monitoring results;

[0160] Specifically as follows:

[0161] Select several static pressure monitoring points with equal time intervals during the static period of the pipeline, and respectively obtain the pipeline static pressure values corresponding to each static pressure monitoring point in the monitoring area of pipeline G1, so as to obtain multiple pipeline static pressure values;

[0162] Obtain the static pressure reference interval corresponding to the target pipeline. If the pipeline static pressure value is within the static pressure reference interval, assign the value "0" to the pipeline static pressure deviation;

[0163] If the pipeline static pressure value is not within the static pressure reference interval and the pipeline static pressure value is greater than the upper limit of the static pressure reference interval, calculate the difference between the pipeline static pressure value and the upper limit of the static pressure reference interval, and take the absolute value of the obtained difference to get the pipeline static pressure deviation;

[0164] If the pipeline static pressure value is not within the static pressure reference interval and the pipeline static pressure value is less than the lower limit of the static pressure reference interval, calculate the difference between the pipeline static pressure value and the lower limit of the static pressure reference interval, and take the absolute value of the obtained difference to get the pipeline static pressure deviation;

[0165] Calculate the average value of the obtained pipeline static pressure deviations to obtain the pipeline static pressure deviation corresponding to the monitoring area of pipeline G1;

[0166] Monitor the pressure during the dynamic period of the pipeline, and obtain the pipeline dynamic pressure deviation corresponding to the monitoring area of pipeline G1 according to the monitoring results;

[0167] Specifically as follows:

[0168] Select several dynamic pressure monitoring points with equal time intervals during the dynamic period of the pipeline, and respectively obtain the pipeline dynamic pressure values corresponding to each dynamic pressure monitoring point in the monitoring area of pipeline G1, so as to obtain multiple pipeline dynamic pressure values;

[0169] Obtain the dynamic pressure reference interval corresponding to the target pipeline. If the pipeline dynamic pressure value is within the dynamic pressure reference interval, assign the value "0" to the pipeline dynamic pressure deviation;

[0170] If the pipeline dynamic pressure value is not within the dynamic pressure reference interval and the pipeline dynamic pressure value is greater than the upper limit of the dynamic pressure reference interval, calculate the difference between the pipeline dynamic pressure value and the upper limit of the dynamic pressure reference interval, and take the absolute value of the obtained difference to get the pipeline dynamic pressure deviation;

[0171] If the pipeline dynamic pressure value is not within the dynamic pressure reference interval and the pipeline dynamic pressure value is less than the lower limit of the dynamic pressure reference interval, calculate the difference between the pipeline dynamic pressure value and the lower limit of the dynamic pressure reference interval, and take the absolute value of the obtained difference to get the pipeline dynamic pressure deviation;

[0172] Calculate the average value of the obtained pipeline dynamic pressure deviation to obtain the pipeline dynamic pressure deviation corresponding to the monitoring area of pipeline G1;

[0173] Calculate the periodic pressure monitoring coefficient corresponding to the monitoring area of pipeline G1 through the pipeline dynamic pressure deviation and the pipeline static pressure deviation;

[0174] Calculate the periodic pressure monitoring coefficient corresponding to the monitoring area of pipeline G1. The specific formula is as follows:

[0175] ;

[0176] Among them, Gyl1 is the periodic pressure monitoring coefficient corresponding to the monitoring area of pipeline G1, Dyp is the pipeline dynamic pressure deviation, and Jyp is the pipeline static pressure deviation;

[0177] Repeat the process of obtaining the periodic pressure monitoring coefficient corresponding to the monitoring area of pipeline G1, and obtain the periodic pressure monitoring coefficients corresponding to the monitoring areas of pipelines G2 to Ga respectively to obtain periodic pressure data;

[0178] Define the periodic pressure data and the monitoring areas of pipelines G1 to Ga as pipeline pressure monitoring data;

[0179] Step S2: Perform pipeline local vibration monitoring on each pipeline monitoring area according to the pipeline pressure monitoring data, and obtain the regional vibration change rate corresponding to each pipeline monitoring area according to the monitoring results to obtain pipeline vibration monitoring data;

[0180] In the step S2, the following specific steps are further included:

[0181] Obtain the pipeline pressure monitoring data, and respectively obtain the monitoring areas of pipelines G1 to Ga according to the pipeline pressure monitoring data;

[0182] During the vibration monitoring of the target pipeline, mark the time value corresponding to the current moment as the cycle end time point, mark a pipeline vibration monitoring cycle, select several vibration monitoring time points with the same time interval within the pipeline vibration monitoring cycle, and name the selected several vibration monitoring time points in sequence according to the time sequence as vibration monitoring time points Z1 to Zb;

[0183] Perform periodic vibration monitoring on the monitoring area of pipeline G1 during the pipeline vibration monitoring cycle, and obtain the regional vibration change rate corresponding to the monitoring area of pipeline G1 according to the monitoring results;

[0184] Specifically as follows:

[0185] Obtain the pipeline water level cross-section height in the monitoring area of pipeline G1 from the vibration monitoring time point Z1 to the vibration monitoring time point Zb, and obtain the water level height value from Z1 to Zb;

[0186] Obtain the water flow velocity of the pipeline in the monitoring area of pipeline G1 from the vibration monitoring time point Z1 to the vibration monitoring time point Zb, and obtain the water flow velocity value from Z1 to Zb;

[0187] Calculate the product of the water level height value of Z1 and the water flow velocity value of Z1 to obtain the water flow index value of Z1. Calculate the product of the water level height value of Z2 and the water flow velocity value of Z2 to obtain the water flow index value of Z2, and so on. Calculate the product of the water level height value of Zb and the water flow velocity value of Zb to obtain the water flow index value of Zb;

[0188] Obtain the pipeline area vibration intensity value in the monitoring area of pipeline G1 from the vibration monitoring time point Z1 to the vibration monitoring time point Zb, and obtain the pipeline vibration intensity value from Z1 to Zb;

[0189] In the existing rectangular coordinate system, set the water flow index value as the abscissa and the pipeline vibration intensity value as the ordinate. Mark the coordinate point with the water level height value of Z1 as the abscissa and the pipeline vibration intensity value of Z1 as the ordinate to obtain the vibration coordinate point Z1, and so on. Mark the coordinate point with the water level height value of Zb as the abscissa and the pipeline vibration intensity value of Zb as the ordinate to obtain the vibration coordinate point Zb. Connect the vibration coordinate points from Z1 to Zb in sequence in the rectangular coordinate system to obtain the pipeline vibration broken line graph;

[0190] In the pipeline vibration broken line graph, obtain the coordinates of the vibration coordinate point Z1 and the vibration coordinate point Z2 respectively to obtain the characteristic coordinate (x1, y1) of Z1 and the characteristic coordinate (x2, y2) of Z2;

[0191] Calculate the connection slope value between the vibration coordinate point Z1 and the vibration coordinate point Z2 from the characteristic coordinate (x1, y1) of Z1 and the characteristic coordinate (x2, y2) of Z2 to obtain the characteristic slope value of Z1;

[0192] Calculate the characteristic slope value of Z1, and the specific formula is as follows:

[0193] ;

[0194] Among them, Xtz1 is the characteristic slope value of Z1, (x1, y1) is the characteristic coordinate of Z1, and (x2, y2) is the characteristic coordinate of Z2;

[0195] Repeat the Z1 feature slope value, and obtain the slope values of the lines connecting every two consecutive vibration coordinate points respectively, to obtain the Z2 feature slope value to the Zb-1 feature slope value;

[0196] Calculate the average of the Z1 feature slope value to the Zb-1 feature slope value to obtain the regional vibration change rate corresponding to the G1 pipeline monitoring area;

[0197] Repeat the process of obtaining the regional vibration change rate corresponding to the G1 pipeline monitoring area, and obtain the regional vibration change rates corresponding to the G2 pipeline monitoring area to the Ga pipeline monitoring area respectively, to obtain the pipeline vibration monitoring data.

[0198] Step S3: Monitor and give early warnings to each pipeline monitoring area in the target pipeline according to the pipeline vibration monitoring data and the pipeline vibration monitoring data;

[0199] In the step S3, the following specific steps are further included:

[0200] Obtain the pipeline pressure monitoring data, and obtain the periodic pressure monitoring coefficients corresponding to the G1 pipeline monitoring area to the Ga pipeline monitoring area according to the pipeline pressure monitoring data;

[0201] Obtain the pipeline vibration monitoring data, and obtain the regional vibration change rates corresponding to the G1 pipeline monitoring area to the Ga pipeline monitoring area respectively according to the pipeline vibration monitoring data;

[0202] Obtain the periodic pressure monitoring coefficient reference interval and the regional vibration change rate reference interval respectively;

[0203] If the periodic pressure monitoring coefficient is within the periodic pressure monitoring coefficient reference interval and the regional vibration change rate is within the regional vibration change rate reference interval, it is determined that there is no pipeline abnormality in the corresponding pipeline monitoring area;

[0204] If the periodic pressure monitoring coefficient is not within the periodic pressure monitoring coefficient reference interval and the regional vibration change rate is within the regional vibration change rate reference interval, it is determined that there is a pipeline abnormality in the corresponding pipeline monitoring area;

[0205] If the periodic pressure monitoring coefficient is within the periodic pressure monitoring coefficient reference interval and the regional vibration change rate is not within the regional vibration change rate reference interval, it is determined that there is a pipeline abnormality in the corresponding pipeline monitoring area;

[0206] If the periodic pressure monitoring coefficient is not within the periodic pressure monitoring coefficient reference interval and the regional vibration change rate is not within the regional vibration change rate reference interval, it is determined that there is a pipeline abnormality in the corresponding pipeline monitoring area.

[0207] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only the specific implementation manners. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. An intelligent pipeline monitoring system based on the Internet of Things, characterized in that, Including: Pressure data module: Divide the target pipeline into several pipeline monitoring areas, periodically monitor the pressure values of each pressure monitoring sub-area respectively, obtain the periodic pressure anomaly coefficient corresponding to each pressure monitoring sub-area according to the monitoring results, and obtain the pipeline pressure monitoring data. Vibration data module: Conduct local pipeline vibration monitoring on each pipeline monitoring area according to the pipeline pressure monitoring data, obtain the regional vibration change rate corresponding to each pipeline monitoring area according to the monitoring results, and obtain the pipeline vibration monitoring data. Monitoring and early warning module: Conduct monitoring and early warning on each pipeline monitoring area in the target pipeline according to the pipeline vibration monitoring data and the pipeline vibration monitoring data.

2. The intelligent pipeline monitoring system based on the Internet of Things according to claim 1, characterized in that Obtain the pipeline pressure monitoring data as follows: In the pipeline line for intelligent monitoring, select a target pipeline, divide the target pipeline into several pipeline monitoring areas, and name the obtained several pipeline monitoring areas as G1 pipeline monitoring area to Ga pipeline monitoring area respectively. Conduct pipeline pressure monitoring on the G1 pipeline monitoring area, and obtain the periodic pressure monitoring coefficient corresponding to the G1 pipeline monitoring area according to the monitoring results. Obtain the periodic pressure monitoring coefficients corresponding to the G2 pipeline monitoring area to the Ga pipeline monitoring area respectively to obtain the periodic pressure data. Define the periodic pressure data and the G1 pipeline monitoring area to the Ga pipeline monitoring area as the pipeline pressure monitoring data.

3. The intelligent pipeline monitoring system based on the Internet of Things according to claim 2, characterized in that, Obtain the periodic pressure monitoring coefficient corresponding to the G1 pipeline monitoring area as follows: Obtain the real-time pipeline liquid flow velocity in the G1 pipeline monitoring area to obtain the pipeline liquid flow velocity value. Mark the time period when the pipeline liquid flow velocity value is equal to 0 as the pipeline static time period, and mark the time period when the pipeline liquid flow velocity value is not equal to 0 as the pipeline dynamic time period. Conduct pressure monitoring on the pipeline static time period, and obtain the pipeline static pressure deviation corresponding to the G1 pipeline monitoring area according to the monitoring results. Conduct pressure monitoring on the pipeline dynamic time period, and obtain the pipeline dynamic pressure deviation corresponding to the G1 pipeline monitoring area according to the monitoring results. Calculate the pipeline dynamic pressure deviation and the pipeline static pressure deviation to obtain the periodic pressure monitoring coefficient corresponding to the G1 pipeline monitoring area. Calculate the periodic pressure monitoring coefficient corresponding to the G1 pipeline monitoring area.

4. The intelligent pipeline monitoring system based on the Internet of Things according to claim 1, characterized in that, Obtain the pipeline static pressure deviation corresponding to the G1 pipeline monitoring area as follows: Select several static pressure monitoring points with equal time intervals in the pipeline static time period, and obtain the pipeline static pressure values corresponding to the G1 pipeline monitoring area at each static pressure monitoring point respectively to obtain multiple pipeline static pressure values. Obtain the static pressure reference interval corresponding to the target pipeline. If the pipeline static pressure value is within the static pressure reference interval, assign the value "0" to the pipeline static pressure deviation. If the pipeline static pressure value is not within the static pressure reference interval and the pipeline static pressure value is greater than the upper limit of the static pressure reference interval, calculate the difference between the pipeline static pressure value and the upper limit of the static pressure reference interval, and take the absolute value of the obtained difference to obtain the pipeline static pressure deviation. If the static pressure value of the pipeline does not fall within the static pressure reference range and the static pressure value of the pipeline is less than the lower limit of the static pressure reference range, calculate the difference between the static pressure value of the pipeline and the lower limit of the static pressure reference range, and take the absolute value of the obtained difference to obtain the pipeline static pressure deviation; Calculate the average value of the obtained pipeline static pressure deviation to obtain the pipeline static pressure deviation corresponding to the monitoring area of pipeline G1.

5. The intelligent pipeline monitoring system based on the Internet of Things according to claim 1, characterized in that Obtain the pipeline dynamic pressure deviation corresponding to the monitoring area of pipeline G1 as follows: Select a number of dynamic pressure monitoring points with equal time intervals during the dynamic period of the pipeline, and respectively obtain the pipeline dynamic pressure values corresponding to the monitoring area of pipeline G1 at each dynamic pressure monitoring point to obtain a plurality of pipeline dynamic pressure values; Obtain the dynamic pressure reference range corresponding to the target pipeline. If the pipeline dynamic pressure value is within the dynamic pressure reference range, assign the value "0" to the pipeline dynamic pressure deviation; If the pipeline dynamic pressure value is not within the dynamic pressure reference range and the pipeline dynamic pressure value is greater than the upper limit of the dynamic pressure reference range, calculate the difference between the pipeline dynamic pressure value and the upper limit of the dynamic pressure reference range, and take the absolute value of the obtained difference to obtain the pipeline dynamic pressure deviation; If the pipeline dynamic pressure value is not within the dynamic pressure reference range and the pipeline dynamic pressure value is less than the lower limit of the dynamic pressure reference range, calculate the difference between the pipeline dynamic pressure value and the lower limit of the dynamic pressure reference range, and take the absolute value of the obtained difference to obtain the pipeline dynamic pressure deviation; Calculate the average value of the obtained pipeline dynamic pressure deviation to obtain the pipeline dynamic pressure deviation corresponding to the monitoring area of pipeline G1.

6. The intelligent pipeline monitoring system based on the Internet of Things according to claim 1, characterized in that Obtain the pipeline vibration monitoring data as follows: Obtain the pipeline pressure monitoring data, and respectively obtain the monitoring areas from pipeline G1 to pipeline Ga according to the pipeline pressure monitoring data; During the process of vibration monitoring of the target pipeline, mark the time value corresponding to the current moment as the cycle end time point to mark a pipeline vibration monitoring cycle, and select a number of vibration monitoring time points with the same time interval within the pipeline vibration monitoring cycle, and name the selected several vibration monitoring time points in chronological order as vibration monitoring time point Z1 to vibration monitoring time point Zb; Conduct periodic vibration monitoring on the monitoring area of pipeline G1 during the pipeline vibration monitoring cycle, and obtain the regional vibration change rate corresponding to the monitoring area of pipeline G1 according to the monitoring results; Respectively obtain the regional vibration change rates corresponding to the monitoring areas from pipeline G2 to pipeline Ga to obtain the pipeline vibration monitoring data.

7. The intelligent pipeline monitoring system based on the Internet of Things according to claim 6, characterized in that, Obtain the regional vibration change rate corresponding to the monitoring area of pipeline G1 as follows: Obtain the pipeline water level cross-section heights of the monitoring area of pipeline G1 from vibration monitoring time point Z1 to vibration monitoring time point Zb to obtain water level height values Z1 to Zb; Obtain the pipeline water body flow velocities of the monitoring area of pipeline G1 from vibration monitoring time point Z1 to vibration monitoring time point Zb to obtain water body flow velocity values Z1 to Zb; Calculate the product of the water level height value of Z1 and the water flow velocity value of Z1 to obtain the water flow index value of Z1. And so on, calculate the product of the water level height value of Zb and the water flow velocity value of Zb to obtain the water flow index value of Zb; Obtain the pipeline area vibration intensity values of the G1 pipeline monitoring area from the Z1 vibration monitoring time point to the Zb vibration monitoring time point, to get the Z1 pipeline vibration intensity value to the Zb pipeline vibration intensity value.

8. The intelligent pipeline monitoring system based on the Internet of Things according to claim 7, characterized in that Obtain the regional vibration change rate corresponding to the G1 pipeline monitoring area, specifically as follows: In the existing plane rectangular coordinate system, set the water flow index value as the abscissa, set the pipeline vibration intensity value as the ordinate, mark the coordinate point with the Z1 water level height value as the abscissa and the Z1 pipeline vibration intensity value as the ordinate to get the Z1 vibration coordinate point. And so on, mark the coordinate point with the Zb water level height value as the abscissa and the Zb pipeline vibration intensity value as the ordinate to get the Zb vibration coordinate point. Connect the Z1 vibration coordinate point to the Zb vibration coordinate point in sequence in the plane rectangular coordinate system to obtain the pipeline vibration broken line graph; In the pipeline vibration broken line graph, obtain the coordinates of the Z1 vibration coordinate point and the Z2 vibration coordinate point respectively to get the Z1 characteristic coordinates (x1, y1) and the Z2 characteristic coordinates (x2, y2); Calculate the connection slope value Xtz1 between the Z1 vibration coordinate point and the Z2 vibration coordinate point through the Z1 characteristic coordinates (x1, y1) and the Z2 characteristic coordinates (x2, y2) to obtain the Z1 characteristic slope value; Calculate the average value of the Z1 characteristic slope value to the Zb-1 characteristic slope value to obtain the regional vibration change rate corresponding to the G1 pipeline monitoring area.

9. The intelligent pipeline monitoring system based on the Internet of Things according to claim 1, characterized in that Conduct monitoring and early warning for the pipeline monitoring area, specifically as follows: Obtain the pipeline pressure monitoring data, and obtain the corresponding periodic pressure monitoring coefficients of the G1 pipeline monitoring area to the Ga pipeline monitoring area according to the pipeline pressure monitoring data; Obtain the pipeline vibration monitoring data, and obtain the corresponding regional vibration change rates of the G1 pipeline monitoring area to the Ga pipeline monitoring area according to the pipeline vibration monitoring data; Obtain the periodic pressure monitoring coefficient reference interval and the regional vibration change rate reference interval respectively; If the periodic pressure monitoring coefficient is within the periodic pressure monitoring coefficient reference interval and the regional vibration change rate is within the regional vibration change rate reference interval, then judge that there is no pipeline abnormality in the corresponding pipeline monitoring area; If the periodic pressure monitoring coefficient is not within the periodic pressure monitoring coefficient reference interval and the regional vibration change rate is within the regional vibration change rate reference interval, then judge that there is a pipeline abnormality in the corresponding pipeline monitoring area; If the periodic pressure monitoring coefficient is within the periodic pressure monitoring coefficient reference interval and the regional vibration change rate is not within the regional vibration change rate reference interval, then judge that there is a pipeline abnormality in the corresponding pipeline monitoring area; If the periodic pressure monitoring coefficient is not within the periodic pressure monitoring coefficient reference interval and the regional vibration change rate is not within the regional vibration change rate reference interval, then judge that there is a pipeline abnormality in the corresponding pipeline monitoring area.

10. The intelligent pipeline monitoring method based on the Internet of Things is applicable to the intelligent pipeline monitoring system based on the Internet of Things described in any one of claims 1-9, and is characterized in that, The intelligent pipeline monitoring method specifically includes the following steps: Step S1: Divide the target pipeline into several pipeline monitoring areas, periodically monitor the pressure values of each pressure monitoring sub-area, and obtain the periodic pressure anomaly coefficient corresponding to each pressure monitoring sub-area according to the monitoring results, so as to obtain the pipeline pressure monitoring data; Step S2: Conduct pipeline local vibration monitoring on each pipeline monitoring area according to the pipeline pressure monitoring data, and obtain the regional vibration change rate corresponding to each pipeline monitoring area according to the monitoring results, so as to obtain the pipeline vibration monitoring data; Step S3: Conduct monitoring and early warning on each pipeline monitoring area in the target pipeline according to the pipeline vibration monitoring data and the pipeline vibration monitoring data.

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