Urban intelligent flood prevention drainage early warning method

Abstract

The invention relates to the technical field of urban intelligent flood prevention drainage early warning, and discloses an urban intelligent flood prevention drainage early warning method. The flood prevention early warning system integrates precipitation monitoring, drainage well rated displacement evaluation, wellhead water flow velocity accurate detection and image recognition technologies. Precipitation and drainage well rated data are obtained in real time, well mouth water flow distribution is finely analyzed in combination with a multi-water-flow-velocity detector, and meanwhile the condition of a well mouth is judged through a camera and image recognition. The system flexibly deals with complex conditions such as sharp drop of the displacement along with foreign matters, stable reaching water level rise, stable non-reaching water level rise and the like according to the displacement change and the wellhead condition, and formulates and executes a corresponding early warning strategy. In addition, the system can quickly position and inform surrounding personnel within one kilometer, flood information is transmitted in real time in a short message mode, it is ensured that flood related personnel grasp the situation in the first time, and the flood prevention efficiency and safety are effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent flood control and drainage early warning for urban areas, and in particular to an intelligent flood control and drainage early warning method for urban areas. Background Art

[0002] Urban flood warning refers to the early identification of possible flood disaster risks based on real-time monitoring data such as meteorology and hydrology, through scientific prediction and analysis, and the timely issuance of warning information to the public and relevant departments to guide them to take effective prevention and emergency measures to minimize the losses and impacts caused by floods on urban residents and infrastructure.

[0003] Commonly used methods for urban flood warning include manual monitoring and experience judgment, automated monitoring and warning systems, community mobilization and public participation, and cross-departmental collaboration and information sharing. These methods have their own advantages and disadvantages, such as high cost and poor timeliness of manual monitoring, technology-dependent and risky false alarms and missed reports, and slow response and limited coverage of community mobilization. This proposal aims to propose an intelligent urban flood control drainage warning method that solves the problems of poor timeliness, lack of information sharing, and inability to promptly determine the cause and location of blocked drainage facilities. Summary of the invention

[0004] The present invention provides an intelligent urban flood control and drainage early warning method, which helps solve the problems mentioned in the above background technology.

[0005] The present invention provides the following technical solution: a method for early warning of intelligent flood control and drainage in towns, comprising:

[0006] Get the current precipitation;

[0007] Get the rated discharge capacity of the drainage well;

[0008] A plurality of water flow rate detectors are placed at the wellhead of the drainage well, which are referred to as wellhead water flow rate detectors, and the distribution of water flow in the drainage well is monitored by the wellhead water flow rate detectors;

[0009] Acquire the wellhead water flow rate value through the wellhead water flow detector to form a wellhead water flow rate value set;

[0010] Install a drainage well monitoring camera above the wellhead;

[0011] Use the drainage well monitoring camera to obtain images around the drainage well mouth, and obtain the drainage well mouth situation through image recognition;

[0012] Process the data in the wellhead water velocity value set to obtain the current drainage volume of the drainage well;

[0013] If the drainage volume drops sharply and the image identifies obvious foreign objects at the wellhead, the first strategy will be adopted to deal with it and a flood control and drainage warning will be issued;

[0014] If the drainage volume tends to be stable and equal to the rated drainage volume of the drainage well, and the image identifies that the water level around the drainage well is rising, the second strategy is adopted for processing and a flood control drainage warning is issued;

[0015] If the drainage volume tends to be stable and is less than the rated drainage volume of the drainage well, and the image identifies that the water level around the drainage well is rising, the third strategy is adopted for processing and a flood control drainage warning is issued;

[0016] The personnel within the circular area with a radius of 1 km centered at the water storage point are obtained, and flood prevention and drainage warning information is sent to the obtained personnel in the form of text messages.

[0017] Optionally, placing a plurality of water flow rate detectors at the wellhead of the drainage well specifically includes:

[0018] Obtain the cross section of the drainage well mouth, recorded as the well mouth surface;

[0019] The wellhead surface is evenly divided into N equal parts, which are respectively recorded as the first wellhead detection surface, the second wellhead detection surface, the third wellhead detection surface ... the Nth wellhead detection surface;

[0020] A water flow rate detector is placed at the position of each divided wellhead surface, and is respectively recorded as the first wellhead water flow rate detector, the second wellhead water flow rate detector, ... the Nth wellhead water flow rate detector.

[0021] Optionally, the drainage well monitoring camera is arranged above the wellhead, specifically including:

[0022] Place a high-definition surveillance camera above the drainage well mouth;

[0023] Adjust the angle of the HD camera;

[0024] The position and angle of the surveillance camera when it is initially installed are taken as the initial position and initial angle;

[0025] Set the interval adjustment angle to S;

[0026] The rotation plane parallel to the ground is recorded as the horizontal plane, and the angle of rotation on the horizontal plane is recorded as the horizontal angle;

[0027] The rotation plane perpendicular to the ground is recorded as the vertical plane, and the angle of rotation on the vertical plane is recorded as the vertical angle;

[0028] Take the manhole cover as the origin, draw a circle with a radius of V, and use the area inside the circle as the monitoring area;

[0029] First, adjust the horizontal direction from the initial position, and gradually rotate the camera in a clockwise direction at an interval angle of S to shoot. After each rotation, the acquired image is named with the rotation sequence number, and all the acquired images are spliced ​​to obtain an image that can be spliced ​​to cover the manhole cover;

[0030] Secondly, make adjustments in the vertical direction. Starting from the initial vertical position, gradually rotate the camera upward at an interval angle of S and take pictures. After each rotation, the acquired image is named with a rotation sequence number. All the acquired images are spliced ​​together to obtain an image that covers the origin to the edge of the monitoring area.

[0031] Optionally, obtaining the current drainage volume of the drainage well specifically includes:

[0032] Get all elements in the wellhead water flow rate value set;

[0033] Calculate the water flow rate of each wellhead detection surface according to the area of ​​each wellhead detection surface and the measured water flow rate;

[0034] Add up the water flow rates of all wellhead detection surfaces and record the result as the current drainage volume of the drainage well.

[0035] Optionally, the adopting the first strategy for processing specifically includes:

[0036] Report the presence of foreign matter in drainage wells to the command center;

[0037] The command center obtains the real-time location of all flood prevention staff on duty and the location of blocked drainage manhole covers;

[0038] The blocked drainage manhole cover is recorded as the target location;

[0039] Get the straight-line distance from the target location to all flood prevention duty personnel;

[0040] Get the five flood control duty personnel with the closest straight-line distance, and record them as candidate duty personnel 1, candidate duty personnel 2, ... candidate duty personnel 5;

[0041] Obtain the path between the target location and the candidate on-duty personnel;

[0042] Calculate the time required for the duty officer to reach the target location;

[0043] Compare the time required for each on-duty personnel to reach the target location, and notify the three on-duty personnel with the shortest time to carry out the dredging work.

[0044] Optionally, the adopting a second strategy for processing specifically includes:

[0045] Report locations where drainage is normal and water levels are rising to the command center;

[0046] Get the current water level value;

[0047] Set the warning water level threshold to Q;

[0048] Determine whether the current water level value is greater than Q;

[0049] If the current water level value is less than or equal to Q, the current water level is considered normal and the water level changes at the current location are continuously monitored;

[0050] If the current water level is greater than Q, the current water level is identified as the warning water level;

[0051] Obtain the water storage growth, water storage growth = precipitation - rated drainage of the drainage well;

[0052] According to the increase in water storage, equipment with drainage capacity greater than or equal to the increase in water storage is matched as supporting drainage equipment to carry out drainage operations.

[0053] Optionally, the adopting a third strategy for processing specifically includes:

[0054] Obtain the water flow rate value of each water flow rate detector at the wellhead of the drainage well;

[0055] Calculate the water flow rate of the detection area corresponding to each water flow rate detector according to each water flow rate value and the corresponding detection area;

[0056] Get the average value of water flow;

[0057] Differences between the water flow values ​​and the average water flow values ​​are taken in turn to obtain absolute values, forming a water flow difference value set;

[0058] Set the water flow difference deviation threshold to P;

[0059] Determine whether all elements in the water flow difference set are less than the P value;

[0060] If there is an element greater than the P value, the first strategy is used for processing;

[0061] If all elements are less than or equal to the P value, the main pipeline drainage strategy is adopted for processing.

[0062] Optionally, the main pipeline drainage strategy is adopted for processing, specifically including:

[0063] Obtain the cross section of the cylindrical main drainage pipe, recorded as the measurement surface;

[0064] Obtain the diameter through the center of the circle and with the endpoints being the upper and lower endpoints of the measuring surface through the center position of the measuring surface, and record it as the longitudinal diameter;

[0065] Obtain the diameter passing through the center of the circle and with the endpoints being the left and right endpoints of the measuring surface through the center position of the measuring surface, and record it as the transverse diameter;

[0066] Divide the longitudinal diameter and the transverse diameter into M equal parts;

[0067] Draw line segments through the dividing points on the longitudinal diameter and the transverse diameter, respectively, and the endpoints of the line segments fall on the edge of the measuring surface;

[0068] The line segment parallel to the longitudinal diameter is recorded as the longitudinal line segment;

[0069] The line segment parallel to the transverse diameter is recorded as the transverse line segment;

[0070] The intersection point of each longitudinal line segment and transverse line segment is used as the main pipeline water flow rate detection point, which is divided into the first layer, the second layer ... the Mth layer from top to bottom, and the first column, the second column ... the Mth column from left to right;

[0071] Get detection points from the first layer to the next layer;

[0072] Obtain the detection points on the odd-numbered layers and the even-numbered layers, sort the detection points on the odd-numbered layers from left to right, and sort the detection points on the even-numbered layers from right to left, so that the first and last detection point numbers of two adjacent detection layers are connected;

[0073] Let the deviation threshold between two adjacent detection points be W;

[0074] The detection point being verified is recorded as the current detection point;

[0075] The last detection point is recorded as the previous detection point;

[0076] The latter detection point is recorded as the latter detection point;

[0077] Start testing from the second test point. If |current test point data - previous test point data|≦W, continue testing the next test point.

[0078] If |data of current detection point - data of previous detection point|>W, first return to the previous detection point for re-detection;

[0079] If |Retest the data of the previous test point - the first test data of the previous test point|>W, replace the water flow rate detector;

[0080] If |Re-test the data of the previous test point - the first test data of the previous test point|≦W, then obtain the absolute value of the deviation between the subsequent test point and the previous test point. If the absolute value of the deviation is less than W, and the data of the current test point - the data of the previous test point <0, then there is a foreign object in front of the current test point, and vice versa. Then test all test points in order to find all test points with abnormal water flow.

[0081] Get all branch pipelines connected to the main pipeline;

[0082] Get the current time;

[0083] Obtain the traffic volume of the roads corresponding to all branch pipelines in the historical data at the current time, and predict the current traffic volume based on the obtained historical traffic volume;

[0084] If the traffic volume corresponding to the branch pipe is small, the drainage volume of the corresponding branch pipe will be reduced. Otherwise, human intervention will be adopted to drain the water, and the branch pipe detected with foreign objects will be cleared at the same time.

[0085] The present invention has the following beneficial effects:

[0086] 1. Obtaining the current precipitation and rated drainage capacity of the drainage well is helpful to determine the quantitative influencing factors in the entire flood control and drainage process. Placing a water flow rate detector at the wellhead of the drainage well and dividing the wellhead into several measuring units is helpful to determine the water flow distribution at the wellhead of the drainage well. Image recognition technology can help determine the water level at the wellhead of the drainage well and whether there are foreign objects. The actual measured drainage capacity of the drainage well and the image recognition of the drainage well are combined to formulate an effective flood control and drainage strategy, which improves efficiency. The flood situation is sent to the flood-related personnel in the form of text messages so that the flood-related personnel can be informed of the flood situation in a timely manner.

[0087] 2. By dividing the drainage well mouth into several equal detection surfaces and placing a water flow velocity detector on each detection surface, the water flow distribution at the drainage well mouth can be effectively grasped.

[0088] 3. By placing a high-definition surveillance camera above the drainage well, dividing the monitoring area, and then adjusting the camera in the horizontal and vertical planes based on the initial installation of the camera, an image that can be spliced ​​to cover the entire monitoring area is obtained, thereby ensuring the integrity of the environment around the drainage well. At the same time, it provides a real and reliable data source for monitoring water level changes and whether there are foreign objects in the drainage well, and also improves the accuracy of image recognition results.

[0089] 4. The water flow rate of each detection surface at the wellhead is calculated by using the water flow rate and the corresponding area of ​​each detection surface at the wellhead, and the result obtained by adding the water flow rate of each detection surface at the wellhead is used as the actual water flow rate of the drainage well, thereby improving the accuracy of obtaining the actual water flow rate of the drainage well.

[0090] 5. The real-time location of the flood control duty personnel and the location of the drainage well with foreign objects obtained by the command center can effectively screen out the five flood control duty personnel with the closest straight-line distance to the target location, and then compare the paths of the five initially screened duty personnel, and then select the three personnel with the shortest time to reach the target location, and send instructions to them to perform dredging work, which greatly improves the timeliness and efficiency of the dredging work, and also reflects the high efficiency of the linkage operation.

[0091] 6. By setting the warning water level, it is determined whether the current water level requires increased drainage capacity to alleviate the flood situation. On the one hand, this meets the actual needs. On the other hand, when the water level exceeds the warning water level line, the flood situation can be effectively and quickly alleviated by increasing the drainage capacity.

[0092] 7. The data measured by each water flow rate detector at the wellhead of the drainage well is used to obtain the average water flow rate of the drainage well. The average value is used to determine the water flow distribution at the wellhead of the drainage well. According to the water flow distribution, the possible problems are further divided into two solution strategies, so that more effective solutions can be used to solve the corresponding problems.

[0093] 8. By dividing the cross section of the main pipeline into different layers and columns, multiple detection points are obtained, and these detection points are finely divided, so that the changes in water flow velocity at different positions in the pipeline can be monitored more accurately, which helps to find subtle flow velocity anomalies. The detection points are sorted in a way that the first positions of adjacent layers are connected, which reduces the distance difference between adjacent serial number detection points in the actual corresponding positions, thereby reducing the error between adjacent detection points. By setting the deviation threshold W and continuously comparing the detection point data, this method can effectively identify the sudden change of water flow velocity, and then determine whether there is foreign body blockage or other abnormal conditions. At the same time, through the re-detection mechanism, it can be ruled out whether the water flow detector is blocked by foreign objects, which enhances the reliability of the data and reduces the possibility of false alarms. After confirming the existence of the anomaly, by comparing the data of the current detection point with the previous and next detection points, the approximate location (front or back) of the foreign object can be inferred, which provides an important reference for subsequent dredging work. Combined with historical traffic data and current time, the traffic flow of the corresponding road of the branch pipeline is predicted, and the drainage volume is adjusted accordingly. This intelligent adjustment strategy helps to reduce unnecessary resource waste while ensuring smooth drainage and improve the overall efficiency of the drainage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0094] Figure 1 This is a schematic diagram of the division of water flow rate detection points in the main pipeline of the present invention. DETAILED DESCRIPTION

[0095] 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, not all of the embodiments. 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.

[0096] Example, see Figure 1 , a smart flood control and drainage early warning method for towns, comprising:

[0097] Get the current precipitation;

[0098] Obtain the rated drainage capacity of the drainage well, which can be determined based on the size of the drainage well opening and the size and number of drainage holes in the drainage well cover;

[0099] A plurality of water flow rate detectors are placed at the wellhead of the drainage well, which are referred to as wellhead water flow rate detectors, and the distribution of water flow in the drainage well is monitored by the wellhead water flow rate detectors;

[0100] Acquire the wellhead water flow rate value through the wellhead water flow detector to form a wellhead water flow rate value set;

[0101] Install a drainage well monitoring camera above the wellhead;

[0102] Use the drainage well monitoring camera to obtain images around the drainage well mouth, obtain the drainage well mouth situation through image recognition, and use the existing technology to infer the current drainage well mouth situation by comparing the image detail changes at different times at the same location, such as whether there are foreign objects above the well cover, the speed of water level rise, etc.;

[0103] Process the data in the wellhead water velocity value set to obtain the current drainage volume of the drainage well;

[0104] If the drainage volume drops sharply and the image identifies obvious foreign objects at the wellhead, the first strategy will be adopted to deal with it and a flood control and drainage warning will be issued;

[0105] If the drainage volume tends to be stable and equal to the rated drainage volume of the drainage well, and the image identifies that the water level around the drainage well is rising, the second strategy is adopted for processing and a flood control drainage warning is issued;

[0106] If the drainage volume tends to be stable and is less than the rated drainage volume of the drainage well, and the image identifies that the water level around the drainage well is rising, the third strategy is adopted for processing and a flood control drainage warning is issued;

[0107] The personnel within the circular area with a radius of 1 km centered at the water storage point are obtained, and flood prevention and drainage warning information is sent to the obtained personnel in the form of text messages.

[0108] Obtaining the current precipitation and the rated discharge of the drainage well is helpful in determining the quantitative influencing factors in the entire flood control and drainage process. Placing a water flow rate detector at the wellhead of the drainage well and dividing the wellhead into several measuring units is helpful in determining the water flow distribution at the wellhead of the drainage well. Image recognition technology can help determine the water level at the wellhead of the drainage well and whether there are foreign objects. The actual measured drainage of the drainage well is combined with the image recognition of the drainage well to formulate an effective flood control and drainage strategy, which improves efficiency. The flood situation is sent to flood-related personnel in the form of text messages so that flood-related personnel can be informed of the flood situation in a timely manner.

[0109] Placing a plurality of water flow rate detectors at the wellhead of the drainage well specifically includes:

[0110] Obtain the cross section of the drainage well mouth, recorded as the well mouth surface;

[0111] The wellhead surface is evenly divided into N equal parts, which are respectively recorded as the first wellhead detection surface, the second wellhead detection surface, the third wellhead detection surface ... the Nth wellhead detection surface;

[0112] A water flow rate detector is placed at the position of each divided wellhead surface, and is respectively recorded as the first wellhead water flow rate detector, the second wellhead water flow rate detector, ... the Nth wellhead water flow rate detector.

[0113] By dividing the drainage well mouth into several equal detection surfaces and placing a water flow velocity detector on each detection surface, the water flow distribution at the drainage well mouth can be effectively grasped.

[0114] The drainage well monitoring camera is arranged above the wellhead, specifically including:

[0115] Place a high-definition surveillance camera above the drainage well mouth. Before placing it, obtain the local climate, judge the local wind force based on the climate, and select appropriate installation support materials based on the historical maximum wind force to ensure the stability of the camera.

[0116] Adjust the angle of the HD camera;

[0117] The position and angle of the surveillance camera when it is initially installed are taken as the initial position and initial angle;

[0118] Set the interval adjustment angle to S. The smaller the S value, the more accurate the result after adjustment.

[0119] The rotation plane parallel to the ground is recorded as the horizontal plane, and the angle of rotation on the horizontal plane is recorded as the horizontal angle;

[0120] The rotation plane perpendicular to the ground is recorded as the vertical plane, and the angle of rotation on the vertical plane is recorded as the vertical angle;

[0121] Take the manhole cover as the origin, draw a circle with a radius of V, and use the area inside the circle as the monitoring area;

[0122] First, adjust the horizontal direction from the initial position, and gradually rotate the camera in a clockwise direction at an interval angle of S to shoot. After each rotation, the acquired image is named with the rotation sequence number, and all the acquired images are spliced ​​to obtain an image that can be spliced ​​to cover the manhole cover;

[0123] Secondly, make adjustments in the vertical direction. Starting from the initial vertical position, gradually rotate the camera upward at an interval angle of S and take pictures. After each rotation, the acquired image is named with a rotation sequence number. All the acquired images are spliced ​​together to obtain an image that covers the origin to the edge of the monitoring area.

[0124] By placing a high-definition surveillance camera above the drainage well, dividing the monitoring area, and then adjusting the camera in the horizontal and vertical planes based on the initial installation of the camera, an image that can be spliced ​​to cover the entire monitoring area is obtained, thereby ensuring the integrity of the environment around the drainage well. At the same time, it provides a real and reliable data source for monitoring water level changes and whether there are foreign objects in the drainage well, and also improves the accuracy of image recognition results.

[0125] The obtaining of the current drainage volume of the drainage well specifically includes:

[0126] Get all elements in the wellhead water flow rate value set;

[0127] Calculate the water flow rate of each wellhead detection surface according to the area of ​​each wellhead detection surface and the measured water flow rate;

[0128] Add up the water flow rates of all wellhead detection surfaces and record the result as the current drainage volume of the drainage well.

[0129] The water flow rate of each detection surface at the wellhead is calculated by using the water flow velocity and the corresponding area of ​​each detection surface at the wellhead, and the result obtained by adding the water flow rates of each detection surface at the wellhead is used as the actual water flow rate of the drainage well, thereby improving the accuracy of obtaining the actual water flow rate of the drainage well.

[0130] The first strategy is adopted to process, specifically including:

[0131] Report the presence of foreign matter in drainage wells to the command center;

[0132] The command center obtains the real-time location of all flood prevention staff on duty and the location of blocked drainage manhole covers;

[0133] The blocked drainage manhole cover is recorded as the target location;

[0134] Obtain the straight-line distance from the target location to all flood control personnel on duty. Obtaining the straight-line distance is the most intuitive way to compare the distance between flood control personnel and the target location;

[0135] Get the five flood control duty personnel with the closest straight-line distance, and record them as candidate duty personnel 1, candidate duty personnel 2, ... candidate duty personnel 5. The number of candidate duty personnel can be adjusted accordingly according to the actual total number of duty personnel.

[0136] Obtain the path between the target location and the candidate on-duty personnel;

[0137] Calculate the time required for the duty officer to reach the target location;

[0138] Compare the time required for each on-duty personnel to reach the target location, and notify the three on-duty personnel with the shortest time to carry out the dredging work.

[0139] The real-time location of the flood prevention duty personnel and the location of the drainage wells with foreign objects obtained by the command center can effectively screen out the five flood prevention duty personnel with the closest straight-line distance to the target location. The paths of the five initially screened duty personnel are then compared, and the three personnel with the shortest time to reach the target location are screened again. Instructions are sent to them to perform dredging work, which greatly improves the timeliness and efficiency of the dredging work and also reflects the high efficiency of the linkage operation.

[0140] The second strategy is used for processing, specifically including:

[0141] Report locations where drainage is normal and water levels are rising to the command center;

[0142] Get the current water level value;

[0143] Set the warning water level threshold as Q. The Q value can be set to different values ​​according to the actual situation. For example, the Q value should be smaller in low-lying areas or busy street areas, and the Q value can be adaptively increased in flat areas or remote areas.

[0144] Determine whether the current water level value is greater than Q;

[0145] If the current water level value is less than or equal to Q, the current water level is considered normal and the water level changes at the current location are continuously monitored;

[0146] If the current water level is greater than Q, the current water level is identified as the warning water level;

[0147] Obtain the water storage growth, water storage growth = precipitation - rated drainage of the drainage well;

[0148] According to the increase in water storage, equipment with drainage capacity greater than or equal to the increase in water storage is matched as supporting drainage equipment to perform drainage operations. For example, in the material system, the corresponding drainage pump is matched according to the increased drainage capacity required.

[0149] By setting the warning water level, we can determine whether the current water level requires increased drainage capacity to alleviate the flood situation. This is in line with actual needs. On the other hand, when the water level exceeds the warning water level line, the flood situation can be effectively and quickly alleviated by increasing the drainage capacity.

[0150] The third strategy is used for processing, specifically including:

[0151] Obtain the water flow rate value of each water flow rate detector at the wellhead of the drainage well;

[0152] Calculate the water flow rate of the detection area corresponding to each water flow rate detector according to each water flow rate value and the corresponding detection area;

[0153] Get the average value of water flow;

[0154] Differences between the water flow values ​​and the average water flow values ​​are taken in turn to obtain absolute values, forming a water flow difference value set;

[0155] Set the water flow difference deviation threshold to P. The larger the P value, the greater the result deviation. The smaller the P value, the smaller the result deviation.

[0156] Determine whether all elements in the water flow difference set are less than the P value;

[0157] If there is an element greater than the P value, the first strategy is used for processing;

[0158] If all elements are less than or equal to the P value, the main pipeline drainage strategy is adopted for processing.

[0159] The average water flow rate of the drainage well is obtained by measuring the data of each water flow velocity detector at the wellhead of the drainage well. The average value is used to judge the water flow distribution at the wellhead of the drainage well. According to the water flow distribution, the possible problems are further divided into two solution strategies, so that more effective solutions can be used to solve the corresponding problems.

[0160] The main pipeline drainage strategy is adopted for processing, specifically including:

[0161] Obtain the cross section of the cylindrical main drainage pipe, recorded as the measurement surface;

[0162] Obtain the diameter through the center of the circle and with the endpoints being the upper and lower endpoints of the measuring surface through the center position of the measuring surface, and record it as the longitudinal diameter;

[0163] Obtain the diameter passing through the center of the circle and with the endpoints being the left and right endpoints of the measuring surface through the center position of the measuring surface, and record it as the transverse diameter;

[0164] The longitudinal diameter and the transverse diameter are obtained first in order to have a reference when dividing the water flow velocity measurement points.

[0165] Divide the longitudinal diameter and transverse diameter into M equal parts. M can be adjusted according to the actual length of the longitudinal diameter and transverse diameter. The larger the M value, the larger the division, which will lead to large errors in the test results. The smaller the M value, the finer the division, and the smaller the error in the results. The purpose of equal division is to ensure that the measurement surface can be measured as finely as possible.

[0166] Draw line segments through the dividing points on the longitudinal diameter and the transverse diameter, respectively, and the endpoints of the line segments fall on the edge of the measuring surface;

[0167] The line segment parallel to the longitudinal diameter is recorded as the longitudinal line segment;

[0168] The line segment parallel to the transverse diameter is recorded as the transverse line segment;

[0169] The intersection point of each longitudinal line segment and transverse line segment is used as the main pipeline water flow rate detection point, which is divided into the first layer, the second layer ... the Mth layer from top to bottom, and the first column, the second column ... the Mth column from left to right;

[0170] Get detection points from the first layer to the next layer;

[0171] Get the detection points on the odd-numbered layers and the even-numbered layers, sort the detection points on the odd-numbered layers from left to right, and sort the detection points on the even-numbered layers from right to left. The serial numbers of the first and last detection points of the two adjacent detection layers are connected. The serial numbers are connected to ensure that the actual position spacing of the adjacent water flow velocity detection points is roughly the same, and the measurement results will not have large errors due to position problems;

[0172] Assume that the deviation threshold of two adjacent detection points is W. The smaller the W value is, the smaller the deviation of the two adjacent detection points is. The larger the W value is, the larger the deviation of the two adjacent detection points is.

[0173] The detection point being verified is recorded as the current detection point;

[0174] The last detection point is recorded as the previous detection point;

[0175] The next detection point is recorded as the post-detection point;

[0176] Start testing from the second test point. If |current test point data - previous test point data|≦W, continue testing the next test point.

[0177] If |data of current detection point - data of previous detection point|>W, first return to the previous detection point for re-detection;

[0178] If |Retest the data of the previous test point - the first test data of the previous test point|>W, replace the water flow rate detector;

[0179] If |Re-test the data of the previous test point - the first test data of the previous test point|≦W, then obtain the absolute value of the deviation between the subsequent test point and the previous test point. If the absolute value of the deviation is less than W, and the data of the current test point - the data of the previous test point <0, then there is a foreign object in front of the current test point, and vice versa. Then test all test points in order to find all test points with abnormal water flow.

[0180] Get all branch pipelines connected to the main pipeline;

[0181] Get the current time;

[0182] Obtain the traffic volume of the roads corresponding to all branch pipelines in the historical data at the current time, and predict the current traffic volume based on the obtained historical traffic volume;

[0183] If the traffic volume corresponding to the branch pipe is small, the drainage volume of the corresponding branch pipe will be reduced. Otherwise, human intervention will be adopted to drain the water, and the branch pipe detected with foreign objects will be cleared at the same time.

[0184] By dividing the cross section of the main pipeline into different layers and columns, multiple detection points are obtained, and these detection points are finely divided, so that the changes in water flow velocity at different positions in the pipeline can be monitored more accurately, which helps to find subtle flow velocity anomalies. The detection points are sorted in a way that the first place of the adjacent layers is connected, which reduces the distance difference between the adjacent numbered detection points in the actual corresponding positions, thereby reducing the error between adjacent detection points. By setting the deviation threshold W and continuously comparing the detection point data, this method can effectively identify the sudden change of water flow velocity, and then determine whether there is foreign body blockage or other abnormal conditions. At the same time, through the re-detection mechanism, it can be ruled out whether the water flow detector is blocked by foreign objects, which enhances the reliability of the data and reduces the possibility of false alarms. After confirming the existence of the anomaly, by comparing the data of the current detection point with the previous and next detection points, the approximate location (front or back) of the foreign object can be inferred, which provides an important reference for subsequent dredging work. Combined with historical traffic data and current time, the traffic volume of the corresponding road of the branch pipeline is predicted, and the drainage volume is adjusted accordingly. This intelligent adjustment strategy helps to reduce unnecessary resource waste while ensuring smooth drainage and improve the overall efficiency of the drainage system.

[0185] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0186] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for early warning of intelligent flood control and drainage in towns, characterized in that: include: Get the current precipitation; Get the rated discharge capacity of the drainage well; A plurality of water flow rate detectors are placed at the wellhead of the drainage well, which are referred to as wellhead water flow rate detectors, and the distribution of water flow in the drainage well is monitored by the wellhead water flow rate detectors; Acquire the wellhead water flow rate value through the wellhead water flow detector to form a wellhead water flow rate value set; Install a drainage well monitoring camera above the wellhead; Use the drainage well monitoring camera to obtain images around the drainage well mouth, and obtain the drainage well mouth situation through image recognition; Process the data in the wellhead water velocity value set to obtain the current drainage volume of the drainage well; If the drainage volume drops sharply and the image identifies obvious foreign objects at the wellhead, the first strategy will be adopted to deal with it and a flood control and drainage warning will be issued; If the drainage volume tends to be stable and equal to the rated drainage volume of the drainage well, and the image identifies that the water level around the drainage well is rising, the second strategy is adopted for processing and a flood control drainage warning is issued; If the drainage volume tends to be stable and is less than the rated drainage volume of the drainage well, and the image identifies that the water level around the drainage well is rising, the third strategy is adopted for processing and a flood control drainage warning is issued; The personnel within the circular area with a radius of 1 km centered at the water storage point are obtained, and flood prevention and drainage warning information is sent to the obtained personnel in the form of text messages.

2. The method for early warning of intelligent flood control and drainage in towns according to claim 1, characterized in that: Placing a plurality of water flow rate detectors at the wellhead of the drainage well specifically includes: Obtain the cross section of the drainage well mouth, recorded as the well mouth surface; The wellhead surface is evenly divided into N equal parts, which are respectively recorded as the first wellhead detection surface, the second wellhead detection surface, the third wellhead detection surface ... the Nth wellhead detection surface; A water flow rate detector is placed at the position of each divided wellhead surface, and is respectively recorded as the first wellhead water flow rate detector, the second wellhead water flow rate detector, ... the Nth wellhead water flow rate detector.

3. The method for early warning of intelligent flood control and drainage in towns according to claim 1, characterized in that: The drainage well monitoring camera is arranged above the wellhead, specifically including: Place a high-definition surveillance camera above the drainage well mouth; Adjust the angle of the HD camera; The position and angle of the surveillance camera when it is initially installed are taken as the initial position and initial angle; Set the interval adjustment angle to S; The rotation plane parallel to the ground is recorded as the horizontal plane, and the angle of rotation on the horizontal plane is recorded as the horizontal angle; The rotation plane perpendicular to the ground is recorded as the vertical plane, and the angle of rotation on the vertical plane is recorded as the vertical angle; Take the manhole cover as the origin, draw a circle with a radius of V, and use the area inside the circle as the monitoring area; First, adjust the horizontal direction from the initial position, and gradually rotate the camera in a clockwise direction at an interval angle of S to shoot. After each rotation, the acquired image is named with the rotation sequence number, and all the acquired images are spliced ​​to obtain an image that can be spliced ​​to cover the manhole cover; Secondly, make adjustments in the vertical direction. Starting from the initial vertical position, gradually rotate the camera upward at an interval angle of S and take pictures. After each rotation, the acquired image is named with a rotation sequence number. All the acquired images are spliced ​​together to obtain an image that covers the origin to the edge of the monitoring area.

4. The method for early warning of intelligent flood control and drainage in towns according to claim 1, characterized in that: The obtaining of the current drainage volume of the drainage well specifically includes: Get all elements in the wellhead water flow rate value set; Calculate the water flow rate of each wellhead detection surface according to the area of ​​each wellhead detection surface and the measured water flow rate; Add up the water flow rates of all wellhead detection surfaces and record the result as the current drainage volume of the drainage well.

5. The method for early warning of intelligent flood control and drainage in towns according to claim 1, characterized in that: The first strategy is adopted to process, specifically including: Report the presence of foreign matter in drainage wells to the command center; The command center obtains the real-time location of all flood prevention staff on duty and the location of blocked drainage manhole covers; The blocked drainage manhole cover is recorded as the target location; Get the straight-line distance from the target location to all flood prevention duty personnel; Get the five flood control duty personnel with the closest straight-line distance, and record them as candidate duty personnel 1, candidate duty personnel 2, ... candidate duty personnel 5; Obtain the path between the target location and the candidate on-duty personnel; Calculate the time required for the duty officer to reach the target location; Compare the time required for each on-duty personnel to reach the target location, and notify the three on-duty personnel with the shortest time to carry out the dredging work.

6. The urban intelligent flood control and drainage early warning method according to claim 1 is characterized in that: The second strategy is used for processing, specifically including: Report locations where drainage is normal and water levels are rising to the command center; Get the current water level value; Set the warning water level threshold to Q; Determine whether the current water level value is greater than Q; If the current water level value is less than or equal to Q, the current water level is considered normal and the water level changes at the current location are continuously monitored; If the current water level is greater than Q, the current water level is identified as the warning water level; Obtain the water storage growth, water storage growth = precipitation - rated drainage of the drainage well; According to the increase in water storage, equipment with drainage capacity greater than or equal to the increase in water storage is matched as supporting drainage equipment to carry out drainage operations.

7. The urban intelligent flood control and drainage early warning method according to claim 1 is characterized in that: The third strategy is used for processing, specifically including: Obtain the water flow rate value of each water flow rate detector at the wellhead of the drainage well; Calculate the water flow rate of the detection area corresponding to each water flow rate detector according to each water flow rate value and the corresponding detection area; Get the average value of water flow; Differences between the water flow values ​​and the average water flow values ​​are taken in turn to obtain absolute values, forming a water flow difference value set; Set the water flow difference deviation threshold to P; Determine whether all elements in the water flow difference set are less than the P value; If there is an element greater than the P value, the first strategy is used for processing; If all elements are less than or equal to the P value, the main pipeline drainage strategy is adopted for processing.

8. The urban intelligent flood control and drainage early warning method according to claim 7 is characterized in that: The main pipeline drainage strategy is adopted for processing, specifically including: Obtain the cross section of the cylindrical main drainage pipe, recorded as the measurement surface; Obtain the diameter through the center of the circle and with the endpoints being the upper and lower endpoints of the measuring surface through the center position of the measuring surface, and record it as the longitudinal diameter; Obtain the diameter passing through the center of the circle and with the endpoints being the left and right endpoints of the measuring surface through the center position of the measuring surface, and record it as the transverse diameter; Divide the longitudinal diameter and the transverse diameter into M equal parts; Draw line segments through the dividing points on the longitudinal diameter and the transverse diameter, respectively, and the endpoints of the line segments fall on the edge of the measuring surface; The line segment parallel to the longitudinal diameter is recorded as the longitudinal line segment; The line segment parallel to the transverse diameter is recorded as the transverse line segment; The intersection point of each longitudinal line segment and transverse line segment is used as the main pipeline water flow rate detection point, which is divided into the first layer, the second layer ... the Mth layer from top to bottom, and the first column, the second column ... the Mth column from left to right; Get detection points from the first layer to the next layer; Obtain the detection points on the odd-numbered layers and the even-numbered layers, sort the detection points on the odd-numbered layers from left to right, and sort the detection points on the even-numbered layers from right to left, so that the first and last detection point numbers of two adjacent detection layers are connected; Let the deviation threshold between two adjacent detection points be W; The detection point being verified is recorded as the current detection point; The last detection point is recorded as the previous detection point; The latter detection point is recorded as the latter detection point; Start testing from the second test point. If |current test point data - previous test point data|≦W, continue testing the next test point. If |data of current detection point - data of previous detection point|>W, first return to the previous detection point for re-detection; If |Retest the data of the previous test point - the first test data of the previous test point|>W, replace the water flow rate detector; If |Re-test the data of the previous test point - the first test data of the previous test point|≦W, then obtain the absolute value of the deviation between the subsequent test point and the previous test point. If the absolute value of the deviation is less than W, and the data of the current test point - the data of the previous test point <0, then there is a foreign object in front of the current test point, and vice versa. Then test all test points in order to find all test points with abnormal water flow. Get all branch pipelines connected to the main pipeline; Get the current time; Obtain the traffic volume of the roads corresponding to all branch pipelines in the historical data at the current time, and predict the current traffic volume based on the obtained historical traffic volume; If the traffic volume corresponding to the branch pipe is small, the drainage volume of the corresponding branch pipe will be reduced. Otherwise, human intervention will be adopted to drain the water, and the branch pipe detected with foreign objects will be cleared at the same time.

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