Integrated rain and sewage diversion system and method

Abstract

The invention discloses an integrated rain and sewage diversion system, and relates to the technical field of water treatment, the diversion system comprises a pipe network troubleshooting module, a diversion design module, an intelligent monitoring module, an intelligent management module and an evaluation adjustment module; the pipe network troubleshooting module carries out preliminary troubleshooting on the municipal drainage pipe network based on a pipeline detection robot, arranges the municipal drainage pipe network into a data set, identifies a problem area with a rain and sewage confluence pipeline and a misconnection mixed connection point, and forms a troubleshooting report; the diversion design module designs a rainwater and sewage diversion scheme based on the investigation report, and the scheme comprises the steps of determining the pipe diameter, the material, the connection mode and the trend of a rainwater pipeline and a sewage pipeline, and conducting reasonable layout on the pipelines. The invention further discloses an integrated rain and sewage diversion method. Through optimization design and technical innovation, a plurality of functional modules are integrated in one system, so that the integration level and compactness of the system are greatly improved, the occupied area is reduced, and the complexity of installation and maintenance is also reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of water treatment, and in particular to an integrated rainwater and sewage diversion system and method. Background Art

[0002] With the acceleration of urbanization, water pollution is becoming more and more serious. The mixed discharge of rainwater and sewage not only aggravates water pollution, but also increases the operating burden of sewage treatment plants. Therefore, achieving effective diversion of rainwater and sewage has become an urgent need in the field of environmental protection. The effective collection and utilization of rainwater is of great significance to alleviating the shortage of urban water resources. Through the rainwater and sewage diversion system, clean rainwater can be collected for irrigation and landscape water replenishment, thereby improving the utilization efficiency of water resources. The traditional combined sewer system can no longer meet the development needs of modern cities. By building an integrated rainwater and sewage diversion system, the original combined sewer system can be gradually replaced to improve the overall performance of urban drainage facilities. With the continuous development of the Internet of Things, big data, and cloud computing technologies, intelligent and automated rainwater and sewage diversion systems have gradually become possible. The application of these technologies enables the system to monitor water quality and water level parameters in real time, and to perform intelligent regulation according to actual conditions.

[0003] In the existing technology, rainwater and sewage diversion renovation is carried out in the built-up area. Due to the intricate underground pipeline network, the construction is difficult, and the existing infrastructure, including roads, bridges, and buildings, needs to be avoided. This makes the renovation project particularly complicated and difficult to build. It requires a large amount of capital investment, and the rainwater and sewage diversion system requires refined management, including daily monitoring, maintenance, and inspection to ensure the normal operation of the system. The management requirements are high and it brings inconvenience. In this regard, we propose an integrated rainwater and sewage diversion system and method. Summary of the invention

[0004] In order to solve the above technical problems, an integrated rainwater and sewage diversion system and method are provided. This technical solution solves the above problems of high construction difficulty and high management requirements.

[0005] To achieve the above objectives, the technical solution adopted by the present invention is: an integrated rainwater and sewage diversion system, the diversion system includes: a pipe network investigation module, a diversion design module, an intelligent monitoring module, an intelligent management module and an evaluation and adjustment module;

[0006] The pipe network inspection module uses a pipe inspection robot to conduct a thorough inspection of the municipal drainage pipe network, organize it into a data set, identify problem areas with combined rainwater and sewage pipes and misconnected mixing points, and form an inspection report;

[0007] The diversion design module designs a rainwater and sewage diversion plan based on the investigation report. The plan includes determining the diameter, material, connection method and direction of the rainwater and sewage pipes, and reasonably laying out the pipes.

[0008] The intelligent monitoring module monitors the operation of the rainwater pipe network and sewage treatment facilities in real time based on sensors. Based on big data analysis technology, it analyzes the monitored data, finds faults and handles them to ensure the operation of the sewage treatment system.

[0009] The intelligent management module is based on the Internet of Things technology to carry out intelligent and automated management of rainwater collection and sewage in the municipal pipe network;

[0010] The assessment and adjustment module regularly evaluates the rainwater and sewage diversion implementation plan based on the data obtained by the intelligent monitoring module, identifies potential problems, and makes adjustments and improvements.

[0011] Preferably, the pipeline inspection robot is deployed in the drainage network and moves in the network. The pipeline inspection robot is provided with a camera unit and a sensor unit. The inside of the network is recorded and monitored in real time based on the camera unit and the sensor unit. The monitored data includes pipeline aging and abnormal water quality. The monitored data is preprocessed and organized into a data set as the identification feature value of the problem area, and the weight of the feature value is allocated. The allocation method calculates the correlation coefficient between each feature value and the severity of the problem area based on the correlation coefficient method, and allocates the weight according to the absolute value of the correlation coefficient. The feature value with a larger absolute value is assigned a greater weight.

[0012] Preferably, the formula for calculating the correlation coefficient between each characteristic value and the severity of the problem area is:

[0013]

[0014] Where r is the calculated correlation coefficient, n is the number of samples, and X ij is the value of the i-th feature in the j-th sample, is the average value of the i-th feature, Yj is the target variable value of the j-th sample, is the mean value of the target variable, and X is the eigenvalue;

[0015] The obtained correlation coefficients are averaged and normalized, where the normalized weight formula is:

[0016]

[0017] where w i is the normalized weight value, |r k | is the absolute value of the correlation coefficient between the kth eigenvalue and the target variable, m is the number of eigenvalues, and after normalization, the weight w of each eigenvalue is obtained. i .

[0018] Preferably, the problem area is identified according to the assigned eigenvalue weights, and the identification formula is:

[0019] Z=w0+w1*X1+w2*X2+…+w m *X m

[0020] Where Z is the result value of the linear combination, w0 is the intercept, is a constant, w1, w2 and w m is the weight value of the feature, X1, X2 and X m The first group of eigenvalues, the second group of eigenvalues ​​and the mth group of eigenvalues ​​are compared with the problem area through the input result value. If the value tends to 1, it indicates that there is a problem area at this location. If the value tends to 0, it indicates that there is no problem at this location, and the next identification is carried out. Based on the analysis results, an inspection report is generated, which includes the specific location of the problem area, the type of problem and the severity information.

[0021] Preferably, based on the generated report and the data in the investigation report, the minimum and maximum diameters of the rainwater pipes are determined, and a diameter margin is reserved. Based on the population density, water consumption and industrial wastewater discharge data, combined with sewage discharge standards and water quality requirements, the design flow and diameter of the sewage pipe are determined. For rainwater pipes, high-density polyethylene pipes and reinforced concrete pipes are selected in view of the fact that rainwater has little effect on pipe corrosion. For sewage pipes, corrosion-resistant and wear-resistant glass fiber reinforced plastic sand-filled pipes and stainless steel composite pipes are selected in view of the corrosive substances and solid impurities in sewage, and the pipes are laid out.

[0022] Preferably, the sensor acquires the rainwater pipe network operation data in each interval in real time, and the data includes flow, pressure, water quality and equipment operation status. The data is cleaned, integrated and pre-processed, and feature data is extracted. The currently extracted feature data is compared with the normal operation data collected to determine whether there is a fault. When a fault is detected, the alarm mechanism is triggered and the fault information is fed back. The comparison formula is calculated based on the difference calculation formula, and a safety threshold range C that is allowed to exist is created. The calculated value A is compared with the safety threshold range C. If it falls within the safety threshold range C, it indicates that the rainwater pipe network and sewage treatment facilities are operating normally. If it falls outside the safety threshold range C, it indicates that a fault exists and it should be handled in time.

[0023] Preferably, the difference calculation formula is:

[0024] A=B1-B2

[0025] Among them, A is the result obtained by difference calculation, B1 is the value of the currently collected rainwater pipe network and sewage treatment facility operation data, and B2 is the rainwater pipe network and sewage treatment facility operation data value under normal operation. By collecting and comparing the operation data value of each interval in unit time, it is judged whether there is a fault. The safety judgment form is C1<A<C2, that is, it is judged that the operation is normal, C1<C2<A, that is, it is judged that there is a fault in the operation, where C1 and C2 are the minimum and maximum values ​​within the safety threshold range C.

[0026] Preferably, based on the Internet of Things technology, the capacity demand of the rainwater collection system is judged, and the working status of the collection facilities is automatically adjusted. For the sewage treatment link, the sewage treatment process is optimized. The treatment process includes: adjusting the dosage of the chemical and the aeration intensity, and establishing a complete operation and management mechanism, which includes daily inspections, regular maintenance and troubleshooting.

[0027] Preferably, the evaluation and adjustment module comprehensively organizes and cleans the real-time data uploaded by the intelligent monitoring module, conducts in-depth mining of the flow distribution, water quality changes, pipeline efficiency and equipment performance data of the rainwater and sewage diversion system, and quantifies and scores the effects of the rainwater and sewage diversion implementation plan based on preset evaluation standards and historical data comparisons. Based on the scoring results, the module identifies the highlights and shortcomings in the implementation plan and optimizes and adjusts the shortcomings.

[0028] An integrated rainwater and sewage diversion method, the diversion steps are:

[0029] S1. The pipe network inspection module uses pipe robot detection technology to conduct a comprehensive investigation of the existing municipal drainage pipe network, identify the problem areas of combined rainwater and sewage pipes and misconnection points, and form a detailed inspection report and list;

[0030] S2. Diversion design module designs rainwater and sewage diversion schemes based on the investigation results, clarifies the pipe diameters, materials, connection methods and directions of rainwater and sewage pipes, comprehensively considers the terrain, landform and hydrogeological conditions, and formulates detailed construction drawings and construction plans;

[0031] S3. Clear the debris and garbage on the construction road to ensure that the construction road is unobstructed, provide safety education and skills training to construction personnel to ensure that they understand the construction process and safety precautions, prepare the necessary construction materials and equipment, including pipes, valves and inspection wells, and conduct inspection and maintenance;

[0032] S4. Reconstruct the urban sewage pipe network, establish a rainwater and sewage diversion pipe network system, set up rainwater inlets and rainwater pipe facilities to divert rainwater and sewage, and carry out construction according to the construction drawings and construction plans to ensure the accuracy and quality of pipe laying;

[0033] S5. Install intelligent monitoring equipment at key nodes, including water level meters, flow meters and water quality monitors, to monitor and collect data on the pipeline system in real time, upload the monitoring data to the intelligent monitoring module, analyze and process the data, and discover potential faults;

[0034] S6. After the construction is completed, carry out system debugging, check the sealing, patency and operation stability of the pipeline system, conduct system trial operation, observe the operation of the system, record relevant data, and rectify and optimize the problems found;

[0035] S7. The intelligent management module establishes a complete operation and management mechanism, including daily inspections, regular maintenance and fault handling, strengthens the training and management of operation and maintenance personnel, improves their professional quality and emergency response capabilities, and performs remote monitoring and management based on the intelligent management module;

[0036] S8. The assessment and adjustment module conducts regular effectiveness assessments on the discharge volume and water quality indicators of rainwater and sewage, and makes timely adjustments and improvements to any problems found.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] Through optimized design and technological innovation, the present invention integrates multiple functional modules into one system, such as rainwater collection and treatment, sewage collection and treatment, intelligent monitoring and management, which greatly improves the integration and compactness of the system, which not only reduces the footprint, but also reduces the complexity of installation and maintenance.

[0039] The present invention introduces a more advanced intelligent control system, which realizes comprehensive monitoring and intelligent management of the rainwater and sewage diversion system through the Internet of Things, big data, and cloud computing technologies. The system can analyze data in real time, predict potential problems, and automatically adjust the operating status, greatly improving the intelligence level and operating efficiency of the system.

[0040] The advantages of the present invention in system integration, intelligent management, and resource utilization make the operating cost of the entire rainwater and sewage diversion system lower. On the one hand, it reduces the losses caused by failures and downtime; on the other hand, it reduces energy consumption and material consumption costs through optimized design and energy-saving measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is the schematic diagram framework of the flow distribution system of the present invention;

[0042] Figure 2 This is a block diagram of the shunting system of the present invention;

[0043] Figure 3 The figure is a flow chart of the diversion step of the present invention. DETAILED DESCRIPTION

[0044] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0045] Reference Figure 1 and Figure 2 As shown, an integrated rainwater and sewage diversion system, the diversion system includes: a pipe network investigation module, a diversion design module, an intelligent monitoring module, an intelligent management module and an evaluation and adjustment module;

[0046] The pipe network inspection module uses a pipe inspection robot to conduct a thorough inspection of the municipal drainage pipe network, organize it into a data set, identify problem areas with combined rainwater and sewage pipes and misconnected mixing points, and form an inspection report;

[0047] The diversion design module designs a rainwater and sewage diversion plan based on the investigation report. The plan includes determining the diameter, material, connection method and direction of the rainwater and sewage pipes, and reasonably laying out the pipes.

[0048] The intelligent monitoring module monitors the operation of the rainwater pipe network and sewage treatment facilities in real time based on sensors. Based on big data analysis technology, it analyzes the monitored data, finds faults and handles them to ensure the operation of the sewage treatment system.

[0049] The intelligent management module is based on the Internet of Things technology to carry out intelligent and automated management of rainwater collection and sewage in the municipal pipe network;

[0050] The assessment and adjustment module regularly evaluates the rainwater and sewage diversion implementation plan based on the data obtained by the intelligent monitoring module, identifies potential problems, and makes adjustments and improvements.

[0051] This application uses a pipeline detection robot to conduct a thorough investigation, which can accurately identify the problem areas of the combined rainwater and sewage pipes and the misconnected mixed connection points, avoiding omissions and errors in traditional manual investigations. The robot has a fast investigation speed and can complete the investigation of a large number of pipes in a short time, greatly shortening the investigation cycle. The investigation results are organized into a data set for subsequent analysis and processing. At the same time, it also provides a basis for the information management of urban drainage systems. The rainwater and sewage diversion plan designed based on the investigation report can ensure the reasonable layout of rainwater pipes and sewage pipes, avoid cross-contamination and poor drainage problems, and ensure the smoothness and efficiency of the drainage system by accurately calculating the pipe diameter, material and connection method, thereby reducing the occurrence of urban waterlogging.

[0052] By using sensors to monitor the operation of rainwater pipe networks and sewage treatment facilities in real time, faults can be discovered and handled in a timely manner to ensure the stable operation of the system. Based on big data analysis technology, monitoring data can be deeply mined and analyzed to discover potential fault hazards and prevent and handle them in advance. Based on the Internet of Things technology, the intelligent and automated management of rainwater collection and sewage in municipal pipe networks can be realized, reducing the frequency and cost of manual intervention. The intelligent management system can monitor and record the operation status of the pipe network in real time, provide decision-making support for managers, and improve management efficiency.

[0053] Regular evaluation and adjustment of the rainwater and sewage diversion implementation plan can timely identify and correct potential problems and ensure continuous optimization and improvement of the system. The evaluation and adjustment module can adjust and optimize the drainage system according to the needs of urban development and environmental changes, ensuring the adaptability and sustainability of the system.

[0054] The pipeline inspection robot is deployed in the drainage network and moves in the network. The pipeline inspection robot is equipped with a camera unit and a sensor unit. Based on the camera unit and the sensor unit, the inside of the network is recorded and monitored in real time. The monitored data includes pipeline aging and abnormal water quality. The monitored data is preprocessed and organized into a data set as the identification feature value of the problem area, and the weight of the feature value is allocated. The allocation method calculates the correlation coefficient between each feature value and the severity of the problem area based on the correlation coefficient method, and allocates the weight according to the absolute value of the correlation coefficient. The feature value with a larger absolute value is assigned a greater weight.

[0055] Through high-definition shooting of the camera unit, this application can intuitively observe the aging, damage, and sediment problems inside the pipeline, monitor water quality abnormalities in real time, and promptly discover potential water pollution problems. After pre-processing the monitoring data, a data set is formed as the identification feature value of the problem area, which can more accurately locate the problem. The correlation coefficient method is used to calculate the correlation coefficient between each feature value and the severity of the problem area, which can objectively reflect the contribution of each feature value to the identification of the problem area.

[0056] The formula for calculating the correlation coefficient between each eigenvalue and the severity of the problem area is:

[0057]

[0058] Where r is the calculated correlation coefficient, n is the number of samples, and X ij is the value of the i-th feature in the j-th sample, is the average value of the i-th feature, Yj is the target variable value of the j-th sample, is the mean value of the target variable, and X is the eigenvalue;

[0059] The obtained correlation coefficients are averaged and normalized, where the normalized weight formula is:

[0060]

[0061] where w i is the normalized weight value, |r k | is the absolute value of the correlation coefficient between the kth eigenvalue and the target variable, m is the number of eigenvalues, and after normalization, the weight w of each eigenvalue is obtained. i .

[0062] According to the assigned eigenvalue weights, the problem area is identified, and the identification formula is:

[0063] Z=w0+w1*X1+w2*X2+…+w m *X m

[0064] Where Z is the result value of the linear combination, w0 is the intercept, is a constant, w1, w2 and w m is the weight value of the feature, X1, X2 and X m The first group of eigenvalues, the second group of eigenvalues ​​and the mth group of eigenvalues ​​are compared with the problem area through the input result value. If the value tends to 1, it indicates that there is a problem area at this location. If the value tends to 0, it indicates that there is no problem at this location, and the next identification is carried out. Based on the analysis results, an inspection report is generated, which includes the specific location of the problem area, the type of problem and the severity information.

[0065] Based on the generated report and the data in the investigation report, the minimum and maximum diameters of the rainwater pipes are determined, and a diameter margin is reserved. Based on the population density, water consumption and industrial wastewater discharge data, combined with sewage discharge standards and water quality requirements, the design flow and diameter of the sewage pipe are determined. For rainwater pipes, considering that rainwater has little effect on pipe corrosion, high-density polyethylene pipes and reinforced concrete pipes are used. For sewage pipes, considering that sewage contains corrosive substances and solid impurities, corrosion-resistant and wear-resistant glass fiber reinforced plastic sand-filled pipes and stainless steel composite pipes are used, and the pipes are laid out.

[0066] This application can ensure the smooth discharge of rainwater under extreme weather conditions by determining the minimum and maximum pipe diameters of the rainwater pipes and reserving a diameter margin, while avoiding excessive waste of pipes. Based on detailed water use and wastewater discharge data, it can ensure the efficiency and effectiveness of sewage treatment and avoid pipe blockage or overload operation. Rainwater pipes use high-density polyethylene pipes and reinforced concrete pipes. These two materials have good corrosion resistance and can withstand high water pressure and soil pressure. They are suitable for rainwater discharge occasions.

[0067] The sensor obtains the rainwater pipe network operation data in each interval in real time. The data includes flow, pressure, water quality and equipment operation status. The data is cleaned, integrated and pre-processed, and feature data is extracted. The currently extracted feature data is compared with the normal operation data collected to determine whether there is a fault. When a fault is detected, the alarm mechanism is triggered and the fault information is fed back. The comparison formula is calculated based on the difference calculation formula, and a safe threshold range C that is allowed to exist is created. The calculated value A is compared with the safe threshold range C. If it falls within the safe threshold range C, it means that the rainwater pipe network and sewage treatment facilities are operating normally. If it falls outside the safe threshold range C, it means that a fault exists and it should be handled in time.

[0068] The difference calculation formula is:

[0069] A=B1-B2

[0070] Among them, A is the result obtained by difference calculation, B1 is the value of the currently collected rainwater pipe network and sewage treatment facility operation data, and B2 is the rainwater pipe network and sewage treatment facility operation data value under normal operation. By collecting and comparing the operation data value of each interval in unit time, it is judged whether there is a fault. The safety judgment form is C1<A<C2, that is, it is judged that the operation is normal, C1<C2<A, that is, it is judged that there is a fault in the operation, where C1 and C2 are the minimum and maximum values ​​within the safety threshold range C.

[0071] Based on the Internet of Things technology, the capacity demand of the rainwater collection system is judged, and the working status of the collection facilities is automatically adjusted. For the sewage treatment link, the sewage treatment process is optimized. The treatment process includes: adjusting the dosage of the chemical and the aeration intensity, and establishing a complete operation and management mechanism, which includes daily inspections, regular maintenance and troubleshooting.

[0072] In this application, the Internet of Things technology can monitor the operating status of the rainwater collection system in real time, including the collection volume and key parameters of water quality, so as to accurately determine the capacity requirements of the system. This helps to avoid system overload or insufficient capacity problems and ensure the efficient and stable operation of the rainwater collection system. Based on real-time monitoring data, the Internet of Things technology can automatically adjust the working status of the rainwater collection facilities, such as turning on or off the collection equipment and adjusting the collection rate.

[0073] The evaluation and adjustment module comprehensively organizes and cleans the real-time data uploaded by the intelligent monitoring module, conducts in-depth mining of the flow distribution, water quality changes, pipeline efficiency and equipment performance data of the rainwater and sewage diversion system, and quantifies the effectiveness of the rainwater and sewage diversion implementation plan based on preset evaluation standards and historical data comparisons. Based on the scoring results, it identifies the highlights and shortcomings in the implementation plan and optimizes and adjusts the shortcomings.

[0074] This application compares historical data based on preset evaluation standards. The evaluation and adjustment module can quantify the effectiveness of the rainwater and sewage diversion implementation plan. This evaluation method helps managers to fully understand the pros and cons of the implementation plan and provide strong support for subsequent decision-making. Based on the scoring results, the highlights and shortcomings of the implementation plan can be clearly identified, which helps managers focus on optimizing the shortcomings and improving the overall efficiency of the system.

[0075] Reference Figure 3 As shown, an integrated rainwater and sewage diversion method, the diversion steps are:

[0076] S1. The pipe network inspection module uses pipe robot detection technology to conduct a comprehensive investigation of the existing municipal drainage pipe network, identify the problem areas of combined rainwater and sewage pipes and misconnection points, and form a detailed inspection report and list;

[0077] S2. Diversion design module designs rainwater and sewage diversion schemes based on the investigation results, clarifies the pipe diameters, materials, connection methods and directions of rainwater and sewage pipes, comprehensively considers the terrain, landform and hydrogeological conditions, and formulates detailed construction drawings and construction plans;

[0078] S3. Clear the debris and garbage on the construction road to ensure that the construction road is unobstructed, provide safety education and skills training to construction personnel to ensure that they understand the construction process and safety precautions, prepare the necessary construction materials and equipment, including pipes, valves and inspection wells, and conduct inspection and maintenance;

[0079] S4. Reconstruct the urban sewage pipe network, establish a rainwater and sewage diversion pipe network system, set up rainwater inlets and rainwater pipe facilities to divert rainwater and sewage, and carry out construction according to the construction drawings and construction plans to ensure the accuracy and quality of pipe laying;

[0080] S5. Install intelligent monitoring equipment at key nodes, including water level meters, flow meters and water quality monitors, to monitor and collect data on the pipeline system in real time, upload the monitoring data to the intelligent monitoring module, analyze and process the data, and discover potential faults;

[0081] S6. After the construction is completed, carry out system debugging, check the sealing, patency and operation stability of the pipeline system, conduct system trial operation, observe the operation of the system, record relevant data, and rectify and optimize the problems found;

[0082] S7. The intelligent management module establishes a complete operation and management mechanism, including daily inspections, regular maintenance and fault handling, strengthens the training and management of operation and maintenance personnel, improves their professional quality and emergency response capabilities, and performs remote monitoring and management based on the intelligent management module;

[0083] S8. The assessment and adjustment module conducts regular effectiveness assessments on the discharge volume and water quality indicators of rainwater and sewage, and makes timely adjustments and improvements to any problems found.

[0084] This application optimizes the layout design of the pipeline network, reduces conflicts and complexity in construction, adopts modular and prefabricated construction methods, improves construction efficiency and flexibility, and reduces the impact on existing infrastructure. By optimizing the design, it reduces unnecessary material and equipment investment, reduces direct construction costs, develops an intelligent management platform, realizes remote monitoring, data analysis and fault diagnosis functions, improves management efficiency, establishes a sound operation and maintenance management system and emergency plan, ensures stable operation of the system, strengthens personnel training, improves the technical level and emergency handling capabilities of managers, enhances the drainage capacity of the system, ensures that rainwater can be quickly drained during the rainy season, and reduces backflow and overflow.

[0085] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. An integrated rainwater and sewage diversion system, characterized in that: The diversion system includes: pipe network investigation module, diversion design module, intelligent monitoring module, intelligent management module and evaluation and adjustment module; The pipe network inspection module uses a pipe inspection robot to conduct a thorough inspection of the municipal drainage pipe network, organize it into a data set, identify problem areas with combined rainwater and sewage pipes and misconnected mixing points, and form an inspection report; The diversion design module designs a rainwater and sewage diversion plan based on the investigation report. The plan includes determining the diameter, material, connection method and direction of the rainwater and sewage pipes, and reasonably laying out the pipes. The intelligent monitoring module monitors the operation of the rainwater pipe network and sewage treatment facilities in real time based on sensors. Based on big data analysis technology, it analyzes the monitored data, finds faults and handles them to ensure the operation of the sewage treatment system. The intelligent management module is based on the Internet of Things technology to carry out intelligent and automated management of rainwater collection and sewage in the municipal pipe network; The assessment and adjustment module regularly evaluates the rainwater and sewage diversion implementation plan based on the data obtained by the intelligent monitoring module, identifies potential problems, and makes adjustments and improvements.

2. The integrated rainwater and sewage diversion system according to claim 1 is characterized in that: The pipeline inspection robot is deployed in the drainage network and moves in the network. The pipeline inspection robot is equipped with a camera unit and a sensor unit. Based on the camera unit and the sensor unit, the inside of the network is recorded and monitored in real time. The monitored data includes pipeline aging and abnormal water quality. The monitored data is preprocessed and organized into a data set as the identification feature value of the problem area, and the weight of the feature value is allocated. The allocation method calculates the correlation coefficient between each feature value and the severity of the problem area based on the correlation coefficient method, and allocates the weight according to the absolute value of the correlation coefficient. The feature value with a larger absolute value is assigned a greater weight.

3. The integrated rainwater and sewage diversion system according to claim 2 is characterized in that: The formula for calculating the correlation coefficient between each eigenvalue and the severity of the problem area is: Where r is the calculated correlation coefficient, n is the number of samples, and X ij is the value of the i-th feature in the j-th sample, is the average value of the i-th feature, Yj is the target variable value of the j-th sample, is the mean value of the target variable, and X is the eigenvalue; The obtained correlation coefficients are averaged and normalized, where the normalized weight formula is: where w i is the normalized weight value, |r k | is the absolute value of the correlation coefficient between the kth eigenvalue and the target variable, m is the number of eigenvalues, and after normalization, the weight w of each eigenvalue is obtained. i .

4. The integrated rainwater and sewage diversion system according to claim 2 is characterized in that: According to the assigned eigenvalue weights, the problem area is identified, and the identification formula is: Z=w0+w1*X1+w2*X2+…+w m *X m Where Z is the result value of the linear combination, w0 is the intercept, is a constant, w1, w2 and w m is the weight value of the feature, X1, X2 and X m The first, second and mth groups of eigenvalues ​​are compared with the problem area through the input result value. If the value tends to 1, it indicates that there is a problem area at this location. If the value tends to 0, it indicates that there is no problem at this location, and the next identification is carried out; Based on the analysis results, a troubleshooting report is generated, which includes the specific location of the problem area, the type of problem and the severity of the problem.

5. The integrated rainwater and sewage diversion system according to claim 1 is characterized in that: Based on the generated report and the data in the investigation report, the minimum and maximum diameters of the rainwater pipes are determined, and a diameter margin is reserved. Based on the population density, water consumption and industrial wastewater discharge data, combined with sewage discharge standards and water quality requirements, the design flow and diameter of the sewage pipe are determined. For rainwater pipes, considering that rainwater has little effect on pipe corrosion, high-density polyethylene pipes and reinforced concrete pipes are used. For sewage pipes, considering that sewage contains corrosive substances and solid impurities, corrosion-resistant and wear-resistant glass fiber reinforced plastic sand-filled pipes and stainless steel composite pipes are used, and the pipes are laid out.

6. The integrated rainwater and sewage diversion system according to claim 1, characterized in that: The sensor obtains the rainwater pipe network operation data in each interval in real time. The data includes flow, pressure, water quality and equipment operation status. The data is cleaned, integrated and pre-processed, and feature data is extracted. The currently extracted feature data is compared with the normal operation data collected to determine whether there is a fault. When a fault is detected, the alarm mechanism is triggered and the fault information is fed back. The comparison formula is calculated based on the difference calculation formula, and a safe threshold range C that is allowed to exist is created. The calculated value A is compared with the safe threshold range C. If it falls within the safe threshold range C, it means that the rainwater pipe network and sewage treatment facilities are operating normally. If it falls outside the safe threshold range C, it means that a fault exists and it should be handled in time.

7. The integrated rainwater and sewage diversion system according to claim 6, characterized in that: The difference calculation formula is: A=B1-B2 Among them, A is the result obtained by difference calculation, B1 is the value of the currently collected rainwater pipe network and sewage treatment facility operation data, and B2 is the rainwater pipe network and sewage treatment facility operation data value under normal operation. By collecting and comparing the operation data value of each interval in unit time, it is judged whether there is a fault. The safety judgment form is C1<A<C2, that is, it is judged that the operation is normal, C1<C2<A, that is, it is judged that there is a fault in the operation, where C1 and C2 are the minimum and maximum values ​​within the safety threshold range C.

8. The integrated rainwater and sewage diversion system according to claim 1 is characterized in that: Based on the Internet of Things technology, the capacity demand of the rainwater collection system is judged, and the working status of the collection facilities is automatically adjusted. For the sewage treatment link, the sewage treatment process is optimized. The treatment process includes: adjusting the dosage of the chemical and the aeration intensity, and establishing a complete operation and management mechanism, which includes daily inspections, regular maintenance and troubleshooting.

9. The integrated rainwater and sewage diversion system according to claim 1, characterized in that: The evaluation and adjustment module comprehensively organizes and cleans the real-time data uploaded by the intelligent monitoring module, conducts in-depth mining of the flow distribution, water quality changes, pipeline efficiency and equipment performance data of the rainwater and sewage diversion system, and quantifies the effectiveness of the rainwater and sewage diversion implementation plan based on preset evaluation standards and historical data comparisons. Based on the scoring results, it identifies the highlights and shortcomings in the implementation plan and optimizes and adjusts the shortcomings.

10. An integrated rainwater and sewage diversion method, characterized in that: The diversion steps are: S1. The pipe network inspection module uses pipe robot detection technology to conduct a comprehensive investigation of the existing municipal drainage pipe network, identify the problem areas of combined rainwater and sewage pipes and misconnection points, and form a detailed inspection report and list; S2. Diversion design module designs rainwater and sewage diversion schemes based on the investigation results, clarifies the pipe diameters, materials, connection methods and directions of rainwater and sewage pipes, comprehensively considers the terrain, landform and hydrogeological conditions, and formulates detailed construction drawings and construction plans; S3. Clear the debris and garbage on the construction road to ensure that the construction road is unobstructed, provide safety education and skills training to construction personnel to ensure that they understand the construction process and safety precautions, prepare the necessary construction materials and equipment, including pipes, valves and inspection wells, and conduct inspection and maintenance; S4. Reconstruct the urban sewage pipe network, establish a rainwater and sewage diversion pipe network system, set up rainwater inlets and rainwater pipe facilities to divert rainwater and sewage, and carry out construction according to the construction drawings and construction plans to ensure the accuracy and quality of pipe laying; S5. Install intelligent monitoring equipment at key nodes, including water level meters, flow meters and water quality monitors, to monitor and collect data on the pipeline system in real time, upload the monitoring data to the intelligent monitoring module, analyze and process the data, and discover potential faults; S6. After the construction is completed, carry out system debugging, check the sealing, patency and operation stability of the pipeline system, conduct system trial operation, observe the operation of the system, record relevant data, and rectify and optimize the problems found; S7. The intelligent management module establishes a complete operation and management mechanism, including daily inspections, regular maintenance and fault handling, strengthens the training and management of operation and maintenance personnel, improves their professional quality and emergency response capabilities, and performs remote monitoring and management based on the intelligent management module; S8. The assessment and adjustment module conducts regular effectiveness assessments on the discharge volume and water quality indicators of rainwater and sewage, and makes timely adjustments and improvements to any problems found.

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