A drainage network monitoring method and system based on IoT sensing equipment

Abstract

The present invention provides a drainage network monitoring method and system based on Internet of Things sensing devices. The drainage network monitoring method is mainly based on targeted analysis of a target area. Through the setting of the Internet of Things sensing device, the in-pipe pressure value and the in-pipe flow rate value monitored in the target area can be analyzed. When a large amount of silt is detected in the target area, the impact of the silt on the target area can be tracked and determined, thereby achieving accurate identification and monitoring of the drainage network, timely discovering the silt status in the drainage network, and avoiding blockage of a large amount of silt in the drainage network.

Description

Technical Field

[0001] The present invention relates to the technical field of drainage pipe network monitoring, and in particular to a drainage pipe network monitoring method and system based on an Internet of Things sensing device. Background Art

[0002] At present, drainage networks use daily inspections or hardware equipment to monitor the water level and flow of key pipe sections to avoid problems such as pipe sludge accumulation and pipe backflow caused by drainage networks. However, since urban drainage systems are generally large in scale, the layout of monitoring equipment is particularly important in actual operations. If a large number of monitoring equipment are blindly deployed, it will lead to high initial capital investment and later maintenance costs; if fewer monitoring equipment are deployed, it cannot be guaranteed that problems such as pipe sludge accumulation and pipe backflow can be discovered in time. In addition, a large amount of monitoring data will be obtained in large-scale urban drainage systems. How to accurately and quickly analyze the monitoring data to ensure timely detection of pipe sludge accumulation and pipe backflow is also a technical problem that needs to be solved. Summary of the invention

[0003] The purpose of the present invention is to provide a drainage network monitoring method based on an Internet of Things sensing device. The drainage network monitoring method is mainly based on targeted analysis of a target area. Through the setting of an Internet of Things sensing device, the in-pipe pressure value and in-pipe flow rate value monitored in the target area can be analyzed. When a large amount of silt is detected in the target area, the impact of the silt on the target area can be tracked and determined, thereby achieving accurate identification and monitoring of the drainage network, timely discovering the silt status in the drainage network, and avoiding blockage of a large amount of silt in the drainage network.

[0004] In order to solve the above technical problems, the present invention adopts the following solutions:

[0005] A drainage network monitoring method based on an IoT sensing device, wherein the drainage network includes a main drainage pipe, a plurality of rainwater pipes arranged longitudinally and connected to the main drainage pipe in sequence, a target area is formed on the drainage network with the connection between the rainwater pipe and the main drainage pipe as the center, a first pressure sensor located in the rainwater pipe is arranged in each target area, and a second pressure sensor and a third pressure sensor located in the main drainage pipe are respectively arranged on the left and right sides of the first pressure sensor;

[0006] The drainage network monitoring method comprises the following steps:

[0007] S1: Perform pressure detection on the first pressure sensors in sequence according to the longitudinal arrangement order on the main drainage pipe. When it is detected that the pressure value in the first pipe is greater than the threshold, the target area where the first pressure sensor is located is used as the area to be analyzed, and the time corresponding to the pressure value in the first pipe is recorded as the first starting time, and then go to step S2;

[0008] S2: locating the second tube pressure value detected by the second pressure sensor in the area to be analyzed according to the first starting time, performing pressure-time data matching within the positioning range, and obtaining a pressure mutation time period;

[0009] S3: extracting the third tube pressure value detected by the third pressure sensor in the area to be determined according to the pressure mutation time period, and obtaining a plurality of third tube pressure values ​​sorted by time;

[0010] S4: Connecting the plurality of pressure values ​​in the third pipe sorted by time by curves to obtain an interval trend line corresponding to the pressure mutation time period, and determining the sludge existence status in the current area to be analyzed by analyzing the curve characteristics of the interval trend line.

[0011] Furthermore, corresponding flow meters are provided at the locations where the first pressure sensor, the second pressure sensor and the third pressure sensor are located, and corresponding flow velocity values ​​in the pipe are obtained through real-time detection by the flow meters.

[0012] Furthermore, S2 includes the following steps:

[0013] S21: obtaining a plurality of second tube pressure values ​​sorted by time, and locating the second tube pressure value corresponding to the same time according to the first starting time, and using the second tube pressure value as the starting point data;

[0014] S22: matching the pressure data of the second tube pressure value from the starting point data to both sides in turn. When the second tube pressure value is greater than the threshold, the match is successful and recorded as the current second tube pressure value, and then go to step S23;

[0015] S23: taking the time corresponding to the current pressure value in the second pipe as the second starting time, performing sludge flow deduction according to the flowmeters at the points where the first pressure sensor is located and the points where the second pressure sensor is located, to obtain a first end time corresponding to the first starting time and a second end time corresponding to the second starting time;

[0016] S24: Matching the time data according to the first end time and the second end time. When the difference between the first end time and the second end time is less than a preset value, the match is successful, and the process goes to step S25;

[0017] S25: forming a pressure mutation time period according to the first end point moment and the second end point moment.

[0018] Furthermore, the step S23 includes the following steps:

[0019] S231: respectively calculating the straight-line distances between the point where the first pressure sensor is located, the point where the second pressure sensor is located, and the center point of the area to be analyzed, to obtain corresponding first distance difference and second distance difference;

[0020] S232: Obtain a current in-tube flow velocity value corresponding to the first pressure sensor according to the first starting time, calculate the time consumed by flowing through the first distance difference according to the current in-tube flow velocity value, and then add the first starting time to the time consumed by flowing through the first distance difference to obtain the corresponding first end time;

[0021] S233: Obtain the current flow velocity value in the tube corresponding to the second pressure sensor according to the second starting time, calculate the time consumed for flowing through the second distance difference through the current flow velocity value in the tube, and then add the second starting time to the time consumed for flowing through the second distance difference to obtain the corresponding second end time.

[0022] Further, in S24, the pressure mutation time period is a preset time period including the first end time and the second end time obtained by extrapolating a period of time forward and backward from the first end time and the second end time.

[0023] Further, in S232 or S233, the process of calculating the time consumed by flowing through the first distance difference by the current flow velocity value in the pipe or calculating the time consumed by flowing through the second distance difference by the current flow velocity value in the pipe is:

[0024] The first distance difference or the second distance difference is divided by the corresponding current flow velocity value in the pipe to obtain the time consumed to flow through the first distance difference or the time consumed to flow through the second distance difference.

[0025] Further, in S4, the process of determining the silt existence state in the current area to be analyzed by analyzing the curve characteristics of the interval trend line is as follows:

[0026] An overall analysis is performed on the curve characteristics of the interval trend line to determine whether the curve characteristics of the interval trend line conform to the overall horizontal trend. If so, it is determined that the silt existence state in the current area to be analyzed is silt accumulation, that is, there is silt accumulation at the center point of the current area to be analyzed; if not, a local analysis is performed on the curve characteristics of the interval trend line to determine whether the curve characteristics of the interval trend line conform to the rising and then falling trend. If so, it is determined that the silt existence state in the current area to be analyzed is silt appearance, that is, there is silt at the center point of the current area to be analyzed, and the silt flows to the point where the third pressure sensor is located.

[0027] Furthermore, the overall analysis process is as follows:

[0028] Compare the pressure values ​​in the third tube on the interval trend line to obtain the pressure value in the third tube representing the middle value, and draw a horizontal auxiliary line on the interval trend line using the pressure value in the third tube representing the middle value;

[0029] It is analyzed whether the distance values ​​between all the pressure values ​​in the third tubes on the interval trend line and the horizontal auxiliary line exceed the threshold value. If not, it is judged that the curve characteristics of the interval trend line are consistent with the overall horizontal trend.

[0030] Furthermore, the process of the local analysis is:

[0031] Compare the pressure values ​​in the third tube on the interval trend line to obtain the pressure value in the third tube representing the maximum value, and draw a vertical auxiliary line on the interval trend line using the pressure value in the third tube representing the maximum value;

[0032] According to the vertical auxiliary line, the interval trend line is divided into two segments, and linear fitting is performed on the two segments to obtain two fitting lines. According to the slopes of the two fitting lines, it is judged whether the curve characteristics of the interval trend line conform to the rising and then falling trend.

[0033] A drainage pipe network monitoring system based on an Internet of Things sensing device, using the drainage pipe network monitoring method based on an Internet of Things sensing device, comprises:

[0034] The first pressure sensor monitoring module: the first pressure sensors are sequentially pressure tested according to the longitudinal arrangement order on the main drainage pipe. When the pressure value in the first pipe is detected to be greater than the threshold, the target area where the first pressure sensor is located is used as the area to be analyzed, and the time corresponding to the pressure value in the first pipe is recorded as the first starting time;

[0035] Pressure mutation time period analysis module: locates the pressure value in the second tube detected by the second pressure sensor in the area to be analyzed according to the first starting time, performs pressure-time data matching within the positioning range, and obtains the pressure mutation time period;

[0036] A third tube pressure value extraction module: extracts the third tube pressure value detected by the third pressure sensor in the area to be determined according to the pressure mutation time period, and obtains a plurality of third tube pressure values ​​sorted by time;

[0037] Silt existence status analysis module: connect multiple pressure values ​​in the third pipe sorted by time with curves to obtain an interval trend line corresponding to the pressure mutation time period, and determine the silt existence status of the current area to be analyzed by analyzing the curve characteristics of the interval trend line.

[0038] Beneficial effects of the present invention:

[0039] The present invention provides a drainage pipe network monitoring method based on an Internet of Things sensing device. The drainage pipe network monitoring method is mainly based on a targeted analysis of a target area. Through the setting of the Internet of Things sensing device, the in-pipe pressure value and the in-pipe flow rate value monitored in the target area can be analyzed. When a large amount of silt is detected in the target area, the impact of the silt on the target area can be tracked and determined, thereby achieving accurate identification and monitoring of the drainage pipe network, timely discovering the silt status in the drainage pipe network, and avoiding blockage of a large amount of silt in the drainage pipe network. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 Schematic diagram of the drainage network in Example 1 of the present invention;

[0041] Figure 2 Schematic diagram of the flow of the drainage network monitoring method in Example 1 of the present invention;

[0042] Figure 3 It is a schematic diagram of the interval trend line in Example 1 of the present invention;

[0043] Figure 4 A schematic diagram of drawing a horizontal auxiliary line on an interval trend line in Example 1 of the present invention;

[0044] Figure 5 A schematic diagram of drawing a vertical auxiliary line on an interval trend line in Example 1 of the present invention;

[0045] Figure 6 In Example 1 of the present invention, based on Figure 6 Schematic diagram of the fitting line obtained by linear fitting. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present invention and its application or use. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] The relative arrangement of components and steps, the numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

[0048] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0049] Additionally, descriptions of well-known structures, functions, and configurations may be omitted for clarity and conciseness.One of ordinary skill in the art will recognize that various changes and modifications may be made to the examples described herein without departing from the spirit and scope of the present disclosure.

[0050] Technologies, methods, and apparatus known to ordinary technicians in the relevant field may not be discussed in detail, but where appropriate, such technologies, methods, and apparatus should be considered part of the authorization specification.

[0051] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0052] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments:

[0053] Example 1

[0054] In this embodiment, a drainage network monitoring method based on IoT sensing devices is proposed, with the aim of solving the problem that a large number of monitoring devices are blindly deployed in large-scale urban drainage systems in the prior art, resulting in high initial capital investment and subsequent maintenance costs, and after obtaining a large amount of monitoring data, it is impossible to timely and accurately analyze the problems in the drainage network and the location of the problems.

[0055] Therefore, the drainage network monitoring method proposed in the present invention is mainly based on targeted analysis of the target area. Through the setting of the Internet of Things sensing device, the in-pipe pressure value and in-pipe flow rate value monitored in the target area can be analyzed for the sludge presence status. When a large amount of sludge is detected in the target area, the impact of the sludge on the target area can be tracked and determined. Thus, the drainage network can be accurately identified and monitored, and the sludge status in the drainage network can be discovered in time, which can avoid blockage of a large amount of sludge in the drainage network.

[0056] First of all, since the drainage network is mainly composed of a main drainage pipe and multiple rainwater pipes arranged longitudinally and connected to the main drainage pipe in sequence, so that all rainwater pipes drain water to the main drainage pipe, it can be known that the connection between the rainwater pipe and the main drainage pipe is an area that needs to withstand a larger pressure, and the other end of the rainwater pipe leads to the ground, receives external water flow and then flows to the main drainage pipe, so that silt is more likely to appear in the water flow from the rainwater pipe to the main drainage pipe. When the silt flows to the connection, if the amount of silt is too large, it will accumulate at the connection; if the amount of silt is small, it may flow to the next connection with the flow direction of the main drainage pipe, causing it to accumulate with the amount of silt at the next connection.

[0057] Therefore, the present invention conducts targeted analysis based on the phenomenon that silt may be generated at the connection between the main drainage pipe and the rainwater pipe, and it is necessary to arrange monitoring equipment at the connection between the main drainage pipe and the rainwater pipe, such as Figure 1 As shown, two rainwater pipes are connected in sequence to the horizontally arranged main drainage pipe, the water flow direction of the main drainage pipe is from left to right, the flow direction of the rainwater pipe is from top to bottom and flows into the main drainage pipe, flows along the main drainage pipe to form a drainage network, then based on the above drainage network, a target area is formed with the connection between the rainwater pipe and the main drainage pipe as the center, and three monitoring devices are arranged in each target area, and the three monitoring devices are respectively arranged in the rainwater pipe, on the left side of the main drainage pipe, and on the right side of the main drainage pipe, presenting a triangular layout, the purpose is to monitor not only the situation in the rainwater pipe, but also the situation in the main drainage pipe before and after the rainwater pipe is gathered to the main drainage pipe.

[0058] In the present invention, the monitoring equipment mainly includes a pressure sensor and a flowmeter. Specifically, a first pressure sensor and a corresponding flowmeter are arranged in the rainwater pipe, a second pressure sensor and a corresponding flowmeter are arranged in the main drainage pipe on the left side of the first pressure sensor, and a third pressure sensor and a corresponding flowmeter are arranged in the main drainage pipe on the right side of the first pressure sensor. The pressure value in the pipe can be detected in real time by the pressure sensor, and the flow rate value in the pipe can be detected in real time by the flowmeter. The pressure sensor and the flowmeter located at the same point are associated with each other. The purpose is to obtain in advance the pressure value in the pipe and the flow rate value in the pipe generated at the same point at the same time. When the sludge is at this point, it can not only be detected by the pressure sensor, but also the flow rate of the sludge in the pipe can be obtained by the flow rate value in the pipe, thereby analyzing the flow direction of the sludge at different times and different speeds.

[0059] Based on the layout of the above monitoring equipment, when the monitoring equipment detects a large amount of silt in the target area, the drainage network monitoring method can be used to analyze the silt presence status of the pipe pressure value and pipe flow rate value monitored in the target area, such as Figure 2 As shown, the drainage network monitoring method comprises the following steps:

[0060] S1: Perform pressure detection on the first pressure sensors in sequence according to the longitudinal arrangement order on the main drainage pipe. When it is detected that the pressure value in the first pipe is greater than the threshold, the target area where the first pressure sensor is located is used as the area to be analyzed, and the time corresponding to the pressure value in the first pipe is recorded as the first starting time, and then go to step S2;

[0061] S2: locating the second tube pressure value detected by the second pressure sensor in the area to be analyzed according to the first starting time, performing pressure-time data matching within the positioning range, and obtaining a pressure mutation time period;

[0062] S3: extracting the third tube pressure value detected by the third pressure sensor in the area to be determined according to the pressure mutation time period, and obtaining a plurality of third tube pressure values ​​sorted by time;

[0063] S4: Connecting the plurality of pressure values ​​in the third pipe sorted by time by curves to obtain an interval trend line corresponding to the pressure mutation time period, and determining the sludge existence status in the current area to be analyzed by analyzing the curve characteristics of the interval trend line.

[0064] In actual scenarios, for a target area, the amount of silt accumulated in a target area flows in from the rainwater pipe of the target area and the previous target area. When the rainwater pipe of the target area and the previous target area both flow into the target area, if they flow to a point at the same time, the rainwater pipe of the target area and the silt of the previous target area will converge at this point. If the amount of convergence is too large, it will cause silt accumulation, thus causing problems such as pipe silt accumulation and pipe backflow in the target area. In general, when a large amount of silt passes through a point, it keeps flowing through a position, causing the rainwater pipe of the target area and the silt flowing in from the previous target area to converge on part of the silt, which may also cause silt accumulation.

[0065] Therefore, the present invention mainly performs pressure detection on the first pressure sensor in sequence according to the order of longitudinal arrangement on the main drainage pipe. When the first pressure sensor detects that the pressure value in the first pipe is greater than the threshold value, the target area where the first pressure sensor is located is used as the area to be analyzed, and the time corresponding to the pressure value in the first pipe is recorded as the first starting time. At this time, the pressure value in the first pipe becomes larger and exceeds the threshold value, which can indicate that the pressure in the rainwater pipe is increased due to excessive silt production.

[0066] Then, according to the first starting moment, the second pipe pressure value detected by the second pressure sensor in the area to be analyzed is located, and pressure-time data matching is performed within the positioning range to obtain the pressure mutation time period. The purpose is to simulate the sludge flow into the target area based on the first starting moment, thereby obtaining the pressure mutation time period when the sludge flows into the connection. The pressure mutation time period is used to represent a continuous state generated when the sludge flows into the connection. The sludge state analysis of the pressure mutation time can ensure the accurate identification and monitoring of the drainage network, and timely discover the sludge state in the drainage network, thereby avoiding a large amount of sludge blockage in the drainage network.

[0067] Specifically, the process of obtaining the pressure mutation time period mainly includes the following steps:

[0068] S21: obtaining a plurality of second tube pressure values ​​sorted by time, and locating the second tube pressure value corresponding to the same time according to the first starting time, and using the second tube pressure value as the starting point data;

[0069] S22: matching the pressure data of the second tube pressure value from the starting point data to both sides in turn. When the second tube pressure value is greater than the threshold, the match is successful and recorded as the current second tube pressure value, and then go to step S23;

[0070] S23: taking the time corresponding to the current pressure value in the second pipe as the second starting time, performing sludge flow deduction according to the flowmeters at the points where the first pressure sensor is located and the points where the second pressure sensor is located, to obtain a first end time corresponding to the first starting time and a second end time corresponding to the second starting time;

[0071] S231: respectively calculating the straight-line distances between the point where the first pressure sensor is located, the point where the second pressure sensor is located, and the center point of the area to be analyzed, to obtain corresponding first distance difference and second distance difference;

[0072] S232: obtaining a current in-tube flow velocity value corresponding to the first pressure sensor according to the first starting time, and calculating the time consumed by flowing through the first distance difference by the current in-tube flow velocity value, that is, dividing the first distance difference by the corresponding current in-tube flow velocity value to obtain the time consumed by flowing through the first distance difference, and then adding the first starting time to the time consumed by flowing through the first distance difference to obtain the corresponding first end time;

[0073] S233: obtaining a current in-tube flow velocity value corresponding to the second pressure sensor according to the second starting time, and calculating the time consumed by flowing through the second distance difference by the current in-tube flow velocity value, that is, dividing the second distance difference by the corresponding current in-tube flow velocity value to obtain the time consumed by flowing through the second distance difference, and then adding the second starting time to the time consumed by flowing through the second distance difference to obtain the corresponding second end time;

[0074] S24: Matching the time data according to the first end time and the second end time. When the difference between the first end time and the second end time is less than a preset value, the match is successful, and the process goes to step S25;

[0075] S25: forming a pressure mutation time period according to the first end moment and the second end moment, wherein the pressure mutation time period can be a preset time period including the first end moment and the second end moment obtained by extrapolating a period of time forward and backward from the first end moment and the second end moment.

[0076] Based on the above steps, the pressure mutation time period is obtained by simulating the silt flowing into the connection, and the pressure mutation time period is used to accurately reflect the duration of the rainwater pipes in the target area and the silt generated in the previous target area flowing to the connection, that is, during the duration period, the rainwater pipes in the target area and the silt generated in the previous target area will continue to flow through the center point of the target area. The silt state analysis is performed on the pressure mutation time period. Compared with the existing technology, it can ensure the accurate identification and monitoring of the drainage network, and timely discover the silt state in the drainage network, thereby avoiding large amounts of silt blockage in the drainage network.

[0077] Then, the sludge state analysis described in the present invention is mainly based on the data analysis of the pressure value in the third pipe during the pressure mutation time period. Since the connection between the main drainage pipe and the rainwater pipe is more prone to fluctuations, if the monitoring equipment is set here, it will cause instability in the monitoring data. Therefore, the present invention adopts a triangular monitoring device arranged around the connection. The pressure value in the third pipe is located on the right side of the main drainage pipe. If the sludge flowing into the connection does not cause sludge accumulation at the connection, the sludge will flow toward the right side of the main drainage pipe to the next target area, causing the third pressure sensor to produce a pressure change; if the sludge flowing into the connection does not cause sludge accumulation at the connection, the sludge will flow toward the right side of the main drainage pipe to the next target area, causing the third pressure sensor to produce a pressure change; When the silt at the connection accumulates at the connection, the silt does not flow out, so that the third pressure sensor will not produce a large pressure change. At this time, if the amount of silt accumulation is too large and causes the water pipe at the connection to burst, the silt and water will flow out along the burst point, causing the third pressure sensor to also produce a pressure change. Therefore, different analyses are performed on the above situations, and the pressure change of the third pressure sensor can be used to reflect the state of the silt flowing into the current target area, including silt accumulation at the connection, no silt accumulation at the connection and flowing to the next target area, and silt accumulation at the connection causing the water pipe to burst.

[0078] According to the pressure mutation time period, the pressure value in the third pipe detected by the third pressure sensor in the area to be determined is extracted to obtain a plurality of pressure values ​​in the third pipe sorted by time, and the plurality of pressure values ​​in the third pipe sorted by time are connected by curves to obtain an interval trend line corresponding to the pressure mutation time period. By analyzing the curve characteristics of the interval trend line, the sludge existence state in the current area to be analyzed can be determined. Specifically, Figure 3 As shown, Figure 3When the curve characteristics of the middle interval trend line are analyzed as a whole, it can be determined whether the curve characteristics of the interval trend line conform to the overall horizontal trend. If so, it is determined that the silt existence state in the current area to be analyzed is silt accumulation, that is, there is silt accumulation at the center point of the current area to be analyzed; if not, a local analysis is performed on the curve characteristics of the interval trend line to determine whether the curve characteristics of the interval trend line conform to the rising and then falling trend. If so, it is determined that the silt existence state in the current area to be analyzed is silt appearance, that is, there is silt at the center point of the current area to be analyzed, and the silt flows to the point where the third pressure sensor is located.

[0079] When the curve characteristics of the interval trend line are analyzed as a whole, the pressure values ​​in the third tube on the interval trend line are first compared to obtain the pressure value in the third tube representing the middle value. A horizontal auxiliary line is drawn on the interval trend line using the pressure value in the third tube representing the middle value, such as Figure 4 As shown, whether the distance values ​​between all the pressure values ​​in the third tubes on the interval trend line and the horizontal auxiliary line exceed the threshold value, if not, it is judged that the curve characteristics of the interval trend line are consistent with the overall horizontal trend.

[0080] When performing local analysis on the curve characteristics of the interval trend line, first compare the pressure values ​​in the third tube on the interval trend line to obtain the third tube pressure value representing the maximum value, and draw a vertical auxiliary line on the interval trend line using the third tube pressure value representing the maximum value, such as Figure 5 As shown in the figure, the interval trend line is divided into two segments according to the vertical auxiliary line, and linear fitting is performed on the two segments to obtain two fitting lines. Figure 5 The fitting line on the left side is Figure 6 As shown, the slope of the fitting line can be obtained. According to the slopes of the two fitting lines, it can be judged whether the curve characteristics of the interval trend line conform to the rising and then falling trend.

[0081] Example 2

[0082] A drainage pipe network monitoring system based on an Internet of Things sensing device, using the drainage pipe network monitoring method based on an Internet of Things sensing device, comprises:

[0083] The first pressure sensor monitoring module: the first pressure sensors are sequentially pressure tested according to the longitudinal arrangement order on the main drainage pipe. When the pressure value in the first pipe is detected to be greater than the threshold, the target area where the first pressure sensor is located is used as the area to be analyzed, and the time corresponding to the pressure value in the first pipe is recorded as the first starting time;

[0084] Pressure mutation time period analysis module: locates the pressure value in the second tube detected by the second pressure sensor in the area to be analyzed according to the first starting time, performs pressure-time data matching within the positioning range, and obtains the pressure mutation time period;

[0085] A third tube pressure value extraction module: extracts the third tube pressure value detected by the third pressure sensor in the area to be determined according to the pressure mutation time period, and obtains a plurality of third tube pressure values ​​sorted by time;

[0086] Silt existence status analysis module: connect multiple pressure values ​​in the third pipe sorted by time with curves to obtain an interval trend line corresponding to the pressure mutation time period, and determine the silt existence status of the current area to be analyzed by analyzing the curve characteristics of the interval trend line.

[0087] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. According to the technical essence of the present invention, within the spirit and principles of the present invention, any simple modification, equivalent replacement and improvement made to the above embodiment still falls within the protection scope of the technical solution of the present invention.

Claims

1. A drainage network monitoring method based on IoT sensing equipment, wherein the drainage network includes a main drainage pipe, and a plurality of rainwater pipes arranged longitudinally and sequentially connected to the main drainage pipe, characterized in that: A target area is formed on the drainage network with the connection between the rainwater pipe and the main drainage pipe as the center, and a first pressure sensor located in the rainwater pipe is arranged in each target area, and a second pressure sensor and a third pressure sensor located in the main drainage pipe are arranged on the left and right sides of the first pressure sensor respectively; corresponding flow meters are arranged at the points where the first pressure sensor, the second pressure sensor and the third pressure sensor are located, and the corresponding flow velocity value in the pipe is obtained by real-time detection by the flow meter; The drainage network monitoring method comprises the following steps: S1: Perform pressure detection on the first pressure sensor in sequence according to the longitudinal arrangement order on the main drainage pipe. When it is detected that the pressure value in the first pipe is greater than the threshold, the target area where the first pressure sensor is located is used as the area to be analyzed, and the time corresponding to the pressure value in the first pipe is recorded as the first starting time, and then go to step S2; S2: locating the second tube pressure value detected by the second pressure sensor in the area to be analyzed according to the first starting time, performing pressure-time data matching within the positioning range, and obtaining a pressure mutation time period; The S2 includes the following steps: S21: obtaining a plurality of second tube pressure values ​​sorted by time, and locating the second tube pressure value corresponding to the same time according to the first starting time, and using the second tube pressure value as the starting point data; S22: matching the pressure data of the second tube pressure value from the starting point data to both sides in turn. When the second tube pressure value is greater than the threshold, the match is successful and recorded as the current second tube pressure value, and then go to step S23; S23: taking the time corresponding to the current pressure value in the second pipe as the second starting time, performing sludge flow deduction according to the flowmeters at the points where the first pressure sensor is located and the points where the second pressure sensor is located, to obtain a first end time corresponding to the first starting time and a second end time corresponding to the second starting time; The step S23 includes the following steps: S231: respectively calculating the straight-line distances between the point where the first pressure sensor is located, the point where the second pressure sensor is located, and the center point of the area to be analyzed, to obtain corresponding first distance difference and second distance difference; S232: Obtain a current in-tube flow velocity value corresponding to the first pressure sensor according to the first starting time, calculate the time consumed by flowing through the first distance difference according to the current in-tube flow velocity value, and then add the first starting time to the time consumed by flowing through the first distance difference to obtain the corresponding first end time; S233: obtaining a current in-tube flow velocity value corresponding to the second pressure sensor according to the second starting time, calculating the time consumed by the flow through the second distance difference according to the current in-tube flow velocity value, and then adding the second starting time to the time consumed by the flow through the second distance difference to obtain the corresponding second end time; S24: Matching the time data according to the first end time and the second end time. When the difference between the first end time and the second end time is less than a preset value, the match is successful, and the process goes to step S25; S25: forming a pressure mutation time period according to the first end point moment and the second end point moment; S3: extracting the third tube pressure value detected by the third pressure sensor in the area to be determined according to the pressure mutation time period, and obtaining a plurality of third tube pressure values ​​sorted by time; S4: Connecting the plurality of pressure values ​​in the third pipe sorted by time by curves to obtain an interval trend line corresponding to the pressure mutation time period, and determining the sludge existence status in the current area to be analyzed by analyzing the curve characteristics of the interval trend line.

2. According to claim 1, a drainage network monitoring method based on IoT sensing equipment is characterized in that: In S24, the pressure mutation time period is a preset time period including the first end time and the second end time obtained by calculating a period of time forward and backward based on the first end time and the second end time.

3. According to claim 1, a drainage network monitoring method based on IoT sensing equipment is characterized in that: In S232 or S233, the process of calculating the time consumed by flowing through the first distance difference by using the current flow velocity value in the pipe or calculating the time consumed by flowing through the second distance difference by using the current flow velocity value in the pipe is: The first distance difference or the second distance difference is divided by the corresponding current flow velocity value in the pipe to obtain the time consumed to flow through the first distance difference or the time consumed to flow through the second distance difference.

4. According to claim 1, a drainage network monitoring method based on IoT sensing equipment is characterized in that: In S4, the process of determining the silt existence state in the current area to be analyzed by analyzing the curve characteristics of the interval trend line is as follows: An overall analysis is performed on the curve characteristics of the interval trend line to determine whether the curve characteristics of the interval trend line conform to the overall horizontal trend. If so, it is determined that the silt existence state in the current area to be analyzed is silt accumulation, that is, there is silt accumulation at the center point of the current area to be analyzed; if not, a local analysis is performed on the curve characteristics of the interval trend line to determine whether the curve characteristics of the interval trend line conform to the rising and then falling trend. If so, it is determined that the silt existence state in the current area to be analyzed is silt appearance, that is, there is silt at the center point of the current area to be analyzed, and the silt flows to the point where the third pressure sensor is located.

5. A drainage network monitoring method based on IoT sensing equipment according to claim 4, characterized in that: The overall analysis process is as follows: Compare the pressure values ​​in the third tube on the interval trend line to obtain the pressure value in the third tube representing the middle value, and draw a horizontal auxiliary line on the interval trend line using the pressure value in the third tube representing the middle value; It is analyzed whether the distance values ​​between all the pressure values ​​in the third tubes on the interval trend line and the horizontal auxiliary line exceed the threshold value. If not, it is judged that the curve characteristics of the interval trend line are consistent with the overall horizontal trend.

6. A drainage network monitoring method based on IoT sensing equipment according to claim 4, characterized in that: The process of the local analysis is as follows: Compare the pressure values ​​in the third tube on the interval trend line to obtain the pressure value in the third tube representing the maximum value, and draw a vertical auxiliary line on the interval trend line using the pressure value in the third tube representing the maximum value; According to the vertical auxiliary line, the interval trend line is divided into two segments, and linear fitting is performed on the two segments to obtain two fitting lines. According to the slopes of the two fitting lines, it is judged whether the curve characteristics of the interval trend line conform to the rising and then falling trend.

7. A drainage network monitoring system based on IoT sensing devices, characterized in that: A drainage network monitoring method based on an IoT sensing device as described in any one of claims 1 to 6 is applied, comprising: The first pressure sensor monitoring module: the first pressure sensors are sequentially pressure tested according to the longitudinal arrangement order on the main drainage pipe. When the pressure value in the first pipe is detected to be greater than the threshold, the target area where the first pressure sensor is located is used as the area to be analyzed, and the time corresponding to the pressure value in the first pipe is recorded as the first starting time; Pressure mutation time period analysis module: locates the pressure value in the second tube detected by the second pressure sensor in the area to be analyzed according to the first starting time, performs pressure-time data matching within the positioning range, and obtains the pressure mutation time period; A third tube pressure value extraction module: extracts the third tube pressure value detected by the third pressure sensor in the area to be determined according to the pressure mutation time period, and obtains a plurality of third tube pressure values ​​sorted by time; Silt existence status analysis module: connect multiple pressure values ​​in the third pipe sorted by time with curves to obtain an interval trend line corresponding to the pressure mutation time period, and determine the silt existence status of the current area to be analyzed by analyzing the curve characteristics of the interval trend line.

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