Urban flood disaster emergency drainage and water quality monitoring integrated equipment and control method

Abstract

The invention discloses urban flood disaster emergency drainage and water quality monitoring integrated equipment and a control method, the urban flood disaster emergency drainage and water quality monitoring integrated equipment comprises a waterproof and dustproof machine body shell and a mounting cylinder, the periphery of the mounting cylinder is provided with a plurality of water permeable holes, the mounting cylinder is internally provided with a water level sensor and a water quality monitoring sensor, and the machine body shell is internally provided with a control module and a communication module; a draining pump is arranged on the top of the machine shell. The control module is connected with the water level sensor, the water quality monitoring sensor, the communication module and the draining pump. The functions of water level monitoring, water quality monitoring, video monitoring, emergency drainage and the like are highly integrated, rapid response and comprehensive monitoring of flood disasters are achieved, the equipment is simple in structure, convenient to operate and rapid in response, and the emergency treatment efficiency and effect of the urban flood disasters can be remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of disaster emergency treatment, and in particular to an integrated equipment for urban flood disaster emergency drainage and water quality monitoring and a control method. Background Art

[0002] Most of the existing waterlogging monitoring equipment only focuses on water level monitoring, lacks effective monitoring of water quality, and cannot fully reflect the impact of flood disasters on the urban water environment. In addition, urban waterlogging monitoring, forecasting and early warning systems usually contain multiple independent parts, such as water level monitoring, data analysis, early warning release, etc., lack of integrated equipment, resulting in complex operation and high maintenance costs. Although the existing flood control and drainage joint dispatching system is powerful, its response speed and efficiency in emergency drainage still need to be improved, especially in the event of sudden flood disasters, which require faster and more accurate emergency drainage and water quality monitoring equipment.

[0003] Therefore, the present invention proposes an integrated urban flood disaster emergency drainage and water quality monitoring device and a control method to solve the problems existing in the prior art. Summary of the invention

[0004] The technical problem to be solved by the present invention is to overcome the defects of the prior art and provide an integrated urban flood disaster emergency drainage and water quality monitoring device and a control method.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] The present invention provides an integrated urban flood disaster emergency drainage and water quality monitoring device, comprising a waterproof and dustproof body shell and a mounting tube, wherein a plurality of water permeable holes are provided on the outer periphery of the mounting tube, and a water level sensor and a water quality monitoring sensor are installed inside the mounting tube, a control module and a communication module are installed inside the housing, a drainage pump is arranged on the top of the housing, and the control module is respectively connected to the water level sensor, the water quality monitoring sensor, the communication module and the drainage pump:

[0007] The water level sensor is used to monitor the water level changes in the urban area in real time, the water quality monitoring sensor is used to monitor the water quality parameters in real time, the control module is used to receive and process data from the water level sensor and the water quality monitoring sensor, perform early warning and emergency response according to preset thresholds and control the operation of the drainage pump, and the communication module is used to transmit the monitoring data and early warning information to the remote monitoring center in real time.

[0008] As a preferred technical solution of the present invention, it also includes a video surveillance module installed on the top of the shell and a power supply module inside the shell. The video surveillance module adopts a high-definition camera, and the high-definition camera has night vision, waterproof and dustproof functions. The power supply module includes a battery to ensure that the equipment can still work normally in the event of a power outage.

[0009] As a preferred technical solution of the present invention, the control module includes a data analysis module and an early warning mechanism module. The data analysis module is used to perform intelligent analysis on historical data to form data reports and trend curves. The early warning mechanism module is used to automatically trigger early warning information when the monitoring data exceeds a preset threshold and notify relevant personnel in a variety of ways. The control module adopts a PLC or STM32 embedded system.

[0010] As a preferred technical solution of the present invention, the communication module supports multiple communication protocols and can achieve seamless connection with the remote monitoring center.

[0011] As a preferred technical solution of the present invention, the drainage pump is connected to the water accumulation area through a pipeline system. When receiving an instruction from the control module, the drainage pump is started to pump out the accumulated water. A filter is provided at the inlet of the drainage pump.

[0012] As a preferred technical solution of the present invention, the mounting tube is detachably connected to the housing.

[0013] As a preferred technical solution of the present invention, it also includes a detachable bracket and installation accessories. The equipment can be conveniently installed or hoisted at a monitoring location in an urban area through the detachable bracket and installation accessories to adapt to different environments and installation requirements.

[0014] The present invention also provides a control method for urban flood disaster emergency drainage and water quality monitoring. Based on the above-mentioned urban flood disaster emergency drainage and water quality monitoring integrated device, the method comprises the following steps:

[0015] Use the detachable bracket and mounting accessories to fix the device in the place where water accumulates or where key monitoring is required, adjust the installation angle and direction of the device, sink the mounting tube into the water, ensure that the sensor can accurately monitor the target area, and connect the pipe system of the drainage pump;

[0016] Configure corresponding receiving equipment and software in the remote monitoring center to receive and display the monitoring data and early warning information transmitted by the equipment;

[0017] Water level sensors and water quality monitoring sensors begin to monitor the water level and water quality parameters of the urban area in real time. The control module receives and processes these data. If the monitoring data exceeds the preset threshold, the early warning mechanism module will automatically trigger the early warning information, which will be notified to relevant personnel in a variety of ways.

[0018] When the control module receives a command to drain water, it starts the drainage pump, which pumps out the accumulated water through the pipe system and discharges it to the designated drainage area;

[0019] The video surveillance module monitors the video images of the urban area in real time, and based on the recognition results, the system provides emergency response suggestions;

[0020] The data analysis module in the control module performs intelligent analysis on historical data, forms data reports and trend graphs, analyzes and predicts water quality data, identifies abnormal water quality areas and issues early warnings;

[0021] The communication module transmits monitoring data, video images and warning information to the remote monitoring center in real time.

[0022] As a preferred technical solution of the present invention, in this method, the video monitoring module monitors the video images of the urban area in real time, and the specific steps of the system providing emergency response suggestions according to the recognition results are:

[0023] Use the camera of the video surveillance module to collect surveillance video in real time, extract key frames from the video stream for analysis, and perform grayscale and normalization processing on the image;

[0024] The model using convolutional neural network CNN includes:

[0025] Convolutional layer: extract local features of the image;

[0026] Pooling layer: reduces the dimension of feature maps and reduces the amount of calculation;

[0027] Fully connected layer: flattens the feature map and classifies it;

[0028] Convolution operation formula:

[0029]

[0030] In formula (1), I is the input image, K is the convolution kernel, and (i, j) is the output position;

[0031] Using the ReLU activation function, the formula is:

[0032] f(x)=max(0,x)

[0033] Pooling operation formula:

[0034]

[0035] In formula (2), P is the output after pooling, Represents the maximum pooling operation;

[0036] The model was trained using a labeled flood disaster image dataset and cross-validation was used to evaluate model performance.

[0037] Use the trained CNN model to analyze video frames in real time to identify flood disaster situations. Based on the identification results, the system provides emergency response recommendations.

[0038] As a preferred technical solution of the present invention, in this method, the data analysis module in the control module performs intelligent analysis on historical data, forms data reports and trend curves, analyzes and predicts water quality data, identifies abnormal water quality areas and issues early warnings in the following specific steps:

[0039] Water quality monitoring sensors collect water quality parameters in real time, remove noise and outliers, fill in missing data, and standardize data ranges;

[0040] The model selection uses K-means clustering or hierarchical clustering. The process is: initialize K cluster centers; calculate the distance from each data point to the cluster center, and assign the data point to the nearest cluster center; update the cluster center to the mean of all data points assigned to the cluster; repeat the previous steps until the cluster center no longer changes. The formula is:

[0041]

[0042] In formula (3), J is the objective function, is the jth data point in the ith cluster, μ i is the center of the i-th cluster;

[0043] Set the normal range of water quality parameters based on historical data and professional knowledge; compare the monitoring data with the normal range in real time to identify abnormal situations; when an abnormality is detected, the system automatically sends an early warning message to relevant personnel.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] 1: The present invention can monitor the water level changes and water quality parameters in urban areas in real time, including dissolved oxygen, turbidity, pH value, etc., and provide timely and accurate data support for urban flood control and waterlogging prevention. When the monitoring data exceeds the preset threshold, the equipment automatically triggers the early warning information and notifies the relevant personnel in various ways, which helps to respond quickly and take emergency measures to reduce the losses caused by flood disasters.

[0046] 2: The present invention adopts a detachable bracket and installation accessories, which is convenient for installation or hoisting in different environments and installation requirements. The outer shell adopts a waterproof and dustproof design, which can adapt to various severe weather and working environments. The internal structure is compact and easy to maintain, reducing maintenance costs and difficulties.

[0047] 3: The present invention highly integrates functions such as water level monitoring, water quality monitoring, video surveillance, and emergency drainage, thereby realizing rapid response and comprehensive monitoring of flood disasters. The equipment has a simple structure, is easy to operate, and responds quickly, which can significantly improve the efficiency and effectiveness of emergency response to urban flood disasters. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0049] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0050] Figure 2 It is a schematic diagram of the internal structure of the installation tube of the present invention;

[0051] In the figure: 1. Water level sensor; 2. Water quality monitoring sensor; 3. Control module; 4. Communication module; 5. Drain pump; 6. Video monitoring module; 7. Power module; 10. Machine body shell; 20. Installation cylinder. DETAILED DESCRIPTION

[0052] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0053] Example 1

[0054] like Figure 1-2 As shown, the present invention provides an integrated urban flood disaster emergency drainage and water quality monitoring device, comprising a waterproof and dustproof body shell 10 and a mounting tube 20, the outer periphery of the mounting tube 20 is provided with a plurality of water permeable holes, and a water level sensor 1 and a water quality monitoring sensor 2 are installed inside, a control module 3 and a communication module 4 are installed inside the body shell 10, a drainage pump 5 is arranged on the top of the body shell 10, and the control module 3 is respectively connected to the water level sensor 1, the water quality monitoring sensor 2, the communication module 4 and the drainage pump 5:

[0055] The water level sensor 1 is used to monitor the water level changes in the urban area in real time, the water quality monitoring sensor 2 is used to monitor the water quality parameters in real time, including but not limited to dissolved oxygen, turbidity, pH value, etc., the control module 3 is used to receive and process data from the water level sensor 1 and the water quality monitoring sensor 2, and to perform early warning and emergency response according to preset thresholds and control the operation of the drainage pump 5. The communication module 4 is used to transmit the monitoring data and early warning information to the remote monitoring center in real time.

[0056] Furthermore, it also includes a video surveillance module 6 installed on the top of the shell and a power supply module 7 inside the shell. The video surveillance module 6 adopts a high-definition camera to monitor the video images of the urban area in real time. The video images can be uploaded to the remote monitoring center in real time to assist in judging the flood disaster situation. The high-definition camera has night vision, waterproof and dustproof functions, and can adapt to various harsh environments. The power supply module 7 includes a battery to ensure that the equipment can still work normally in the event of a power outage.

[0057] Furthermore, the control module 3 includes a data analysis module and an early warning mechanism module. The data analysis module is used to perform intelligent analysis on historical data to form data reports and trend curves to provide a scientific basis for flood control and waterlogging prevention decisions. The early warning mechanism module is used to automatically trigger early warning information when the monitoring data exceeds a preset threshold, and notify relevant personnel through various means such as text messages, emails, sound and light alarms, etc. The control module 3 adopts a PLC or STM32 embedded system and contains multiple algorithms to realize automatic control of the equipment.

[0058] Furthermore, the communication module 4 supports multiple communication protocols and can achieve seamless connection with the remote monitoring center, such as 4G / 5G, Wi-Fi, LoRa, etc., to ensure real-time transmission of device data.

[0059] Furthermore, the drain pump 5 is connected to the water accumulation area through a pipeline system. When receiving the instruction of the control module 3, the drain pump 5 is started to pump out the accumulated water. A filter is provided at the inlet of the drain pump 5 to filter out impurities in the accumulated water to prevent blockage of the drain pump or the pipeline system.

[0060] Furthermore, the mounting tube 20 and the housing 10 are detachably connected.

[0061] Furthermore, it also includes a detachable bracket and installation accessories, through which the equipment can be conveniently installed or hoisted at a monitoring location in an urban area to adapt to different environments and installation requirements.

[0062] Specifically, the arrangement process is as follows: Use the detachable bracket and installation accessories to fix the device at the location where water accumulates or where key monitoring is required, and adjust the installation angle and direction of the device. The installation cylinder 20 is sunk into the water to ensure that the internal sensor can accurately monitor the target area, and then connect the pipe of the drainage pump 5.

[0063] Configure corresponding receiving equipment and software in the remote monitoring center to receive and display the monitoring data and early warning information transmitted by the equipment.

[0064] Usage steps: Make sure that the battery of the power module 7 is fully charged and connected to the device, ensure that the device can still work normally in the case of power failure, and turn on the power switch on the body shell 10 to start the device. The water level sensor 1 and the water quality monitoring sensor 2 begin to monitor the water level and water quality parameters of the urban area in real time. The control module 3 receives and processes these data. If the monitoring data exceeds the preset threshold, the early warning mechanism module will automatically trigger the early warning information. The early warning information will be notified to relevant personnel through various means such as text messages, emails, sound and light alarms, so that emergency measures can be taken in time. When the control module 3 receives an instruction to drain water, it will start the drainage pump 5, which will pump out the accumulated water through the pipeline and discharge it to the designated drainage area. The video monitoring module 6 begins to monitor the video images of the urban area in real time, and the communication module 4 transmits the monitoring data, video images and early warning information to the remote monitoring center in real time. The equipment continues to monitor the data until the flood disaster ends.

[0065] Example 2

[0066] The present invention also provides a control method for emergency drainage and water quality monitoring of urban flood disasters. Based on the above-mentioned device, the method comprises the following steps:

[0067] Use the detachable bracket and mounting accessories to fix the device in the place where water accumulates or where key monitoring is required, adjust the installation angle and direction of the device, sink the mounting tube into the water, ensure that the sensor can accurately monitor the target area, and connect the pipe system of the drainage pump;

[0068] Configure corresponding receiving equipment and software in the remote monitoring center to receive and display the monitoring data and early warning information transmitted by the equipment;

[0069] Water level sensors and water quality monitoring sensors begin to monitor the water level and water quality parameters of the urban area in real time. The control module receives and processes these data. If the monitoring data exceeds the preset threshold, the early warning mechanism module will automatically trigger the early warning information, which will be notified to relevant personnel in a variety of ways.

[0070] When the control module receives a command to drain water, it starts the drainage pump, which pumps out the accumulated water through the pipe system and discharges it to the designated drainage area;

[0071] The video surveillance module monitors the video images of the urban area in real time. Based on the recognition results, the system provides emergency response suggestions. The specific steps are as follows:

[0072] 1. Use the camera of the video monitoring module 6 to collect monitoring video in real time, extract key frames from the video stream for analysis, and perform grayscale and normalization processing on the image.

[0073] 2. The model structure of the convolutional neural network (CNN) includes:

[0074] Convolutional layer: extract local features of the image;

[0075] Pooling layer: reduces the dimension of feature maps and reduces the amount of calculation;

[0076] Fully connected layer: flattens the feature map and classifies it;

[0077] Convolution operation formula:

[0078]

[0079] In formula (1), I is the input image, K is the convolution kernel, and (i, j) is the output position.

[0080] Using the ReLU activation function, the formula is:

[0081] f(x)=max(0,x)

[0082] Pooling operation formula:

[0083]

[0084] In formula (2), P is the output after pooling, Represents a max pooling operation.

[0085] Use the labeled flood disaster image dataset to train the model and cross-validate to evaluate the model performance

[0086] 3. Use the trained CNN model to analyze video frames in real time and identify flood disaster situations. Based on the identification results, the system provides emergency response suggestions, such as evacuation routes.

[0087] The data analysis module in the control module performs intelligent analysis on historical data, forms data reports and trend curves, analyzes and predicts water quality data, identifies abnormal water quality areas and issues early warnings; the specific steps are:

[0088] 1. Water quality monitoring sensor 2 collects water quality parameters such as pH, dissolved oxygen (DO), turbidity, temperature, etc. in real time, removes noise and outliers, fills in missing data, and standardizes the data range.

[0089] 2. Model selection uses K-means clustering or hierarchical clustering.

[0090] Process: Initialize K cluster centers; calculate the distance from each data point to the cluster center, and assign the data point to the nearest cluster center; update the cluster center to the mean of all data points assigned to the cluster; repeat the previous steps until the cluster center no longer changes. Formula:

[0091]

[0092] In formula (3), J is the objective function, is the jth data point in the ith cluster, μ i is the center of the ith cluster.

[0093] 3. Set the normal range of water quality parameters based on historical data and professional knowledge; compare the monitoring data with the normal range in real time to identify abnormal situations; when an abnormality is detected, the system automatically sends an early warning message to relevant personnel.

[0094] The communication module transmits monitoring data, video images and warning information to the remote monitoring center in real time.

[0095] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An integrated urban flood emergency drainage and water quality monitoring device, characterized in that: The invention comprises a waterproof and dustproof housing (10) and a mounting tube (20), wherein the outer circumference of the mounting tube (20) is provided with a plurality of water-permeable holes, and a water level sensor (1) and a water quality monitoring sensor (2) are mounted inside the housing (10), a control module (3) and a communication module (4) are mounted inside the housing (10), a drainage pump (5) is arranged on the top of the housing (10), and the control module (3) is respectively connected to the water level sensor (1), the water quality monitoring sensor (2), the communication module (4) and the drainage pump (5): The water level sensor (1) is used to monitor the water level changes in the urban area in real time, the water quality monitoring sensor (2) is used to monitor the water quality parameters in real time, the control module (3) is used to receive and process the data from the water level sensor (1) and the water quality monitoring sensor (2), to perform early warning and emergency response according to preset thresholds and to control the operation of the drainage pump (5), and the communication module (4) is used to transmit the monitoring data and early warning information to a remote monitoring center in real time.

2. The integrated urban flood emergency drainage and water quality monitoring device according to claim 1 is characterized in that: The device also comprises a video monitoring module (6) installed on the top of the housing and a power module (7) inside the housing. The video monitoring module (6) uses a high-definition camera, which has night vision, waterproof and dustproof functions. The power module (7) comprises a storage battery to ensure that the device can still work normally in the event of a power outage.

3. The integrated urban flood disaster emergency drainage and water quality monitoring device according to claim 1 or 2, characterized in that: The control module (3) comprises a data analysis module and an early warning mechanism module. The data analysis module is used to perform intelligent analysis on historical data to form data reports and trend curve graphs. The early warning mechanism module is used to automatically trigger early warning information when the monitoring data exceeds a preset threshold value and notify relevant personnel in a variety of ways. The control module (3) adopts a PLC or STM32 embedded system.

4. The integrated urban flood emergency drainage and water quality monitoring device according to claim 1 is characterized in that: The communication module (4) supports a variety of communication protocols and can achieve seamless connection with the remote monitoring center.

5. The integrated urban flood emergency drainage and water quality monitoring device according to claim 1 is characterized in that: The drainage pump (5) is connected to the water accumulation area through a pipeline system. When receiving an instruction from the control module (3), the drainage pump (5) is started to pump out the accumulated water. A filter is provided at the inlet of the drainage pump (5).

6. The integrated urban flood emergency drainage and water quality monitoring device according to claim 1, characterized in that: The installation cylinder (20) is detachably connected to the machine body shell (10).

7. The integrated urban flood emergency drainage and water quality monitoring device according to claim 1, characterized in that: It also includes detachable brackets and mounting accessories, through which the equipment can be conveniently installed or hoisted at monitoring locations in urban areas to adapt to different environments and installation requirements.

8. A control method for emergency drainage and water quality monitoring of urban flood disasters, based on the integrated equipment for emergency drainage and water quality monitoring of urban flood disasters according to any one of claims 1 to 7, characterized in that: The method comprises the following steps: Use the detachable bracket and mounting accessories to fix the device in the place where water accumulates or where key monitoring is required, adjust the installation angle and direction of the device, sink the mounting tube into the water, ensure that the sensor can accurately monitor the target area, and connect the pipe system of the drainage pump; Configure corresponding receiving equipment and software in the remote monitoring center to receive and display the monitoring data and early warning information transmitted by the equipment; Water level sensors and water quality monitoring sensors begin to monitor the water level and water quality parameters of the urban area in real time. The control module receives and processes these data. If the monitoring data exceeds the preset threshold, the early warning mechanism module will automatically trigger the early warning information, which will be notified to relevant personnel in a variety of ways. When the control module receives a command to drain water, it starts the drainage pump, which pumps out the accumulated water through the pipe system and discharges it to the designated drainage area; The video surveillance module monitors the video images of the urban area in real time, and based on the recognition results, the system provides emergency response suggestions; The data analysis module in the control module performs intelligent analysis on historical data, forms data reports and trend graphs, analyzes and predicts water quality data, identifies abnormal water quality areas and issues early warnings; The communication module transmits monitoring data, video images and warning information to the remote monitoring center in real time.

9. A control method for emergency drainage and water quality monitoring of urban flood disasters, characterized in that: In this method, the video surveillance module monitors the video images of the urban area in real time. Based on the recognition results, the system provides emergency response suggestions in the following specific steps: Use the camera of the video monitoring module 6 to collect monitoring video in real time, extract key frames from the video stream for analysis, and perform grayscale and normalization processing on the image; The convolutional neural network (CNN) model is used, and the model structure includes: Convolutional layer: extract local features of the image; Pooling layer: reduces the dimension of feature maps and reduces the amount of calculation; Fully connected layer: flattens the feature map and classifies it; Convolution operation formula: In formula (1), I is the input image, K is the convolution kernel, and (i, j) is the output position; Using the ReLU activation function, the formula is: f(x) = max(0, x) Pooling operation formula: In formula (2), P is the output after pooling, Represents the maximum pooling operation; The model was trained using a labeled flood disaster image dataset and cross-validation was used to evaluate model performance. Use the trained CNN model to analyze video frames in real time to identify flood disaster situations. Based on the identification results, the system provides emergency response recommendations.

10. A control method for emergency drainage and water quality monitoring of urban flood disasters, characterized in that: In this method, the data analysis module in the control module performs intelligent analysis on historical data, forms data reports and trend curves, analyzes and predicts water quality data, identifies abnormal water quality areas and issues early warnings. The specific steps are: Water quality monitoring sensor 2 collects water quality parameters in real time, removes noise and outliers, fills in missing data, and standardizes the data range; The model selection uses K-means clustering or hierarchical clustering. The process is: initialize K cluster centers; calculate the distance from each data point to the cluster center, and assign the data point to the nearest cluster center; update the cluster center to the mean of all data points assigned to the cluster; repeat the previous steps until the cluster center no longer changes. The formula is: In formula (3), J is the objective function, is the jth data point in the ith cluster, μ i is the center of the i-th cluster; Set the normal range of water quality parameters based on historical data and professional knowledge; compare the monitoring data with the normal range in real time to identify abnormal situations; when an abnormality is detected, the system automatically sends an early warning message to relevant personnel.

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