Urban sewage real-time regulation method and system fused with AI decision

Abstract

The present application is suitable for the technical field of urban sewage regulation and control, and provides a real-time regulation and control method and system for urban sewage fused with AI decision-making. The present application monitors the environment and demand of urban sewage heat utilization in multiple regulation and utilization areas; calculates the sewage utilization flow of the multiple regulation and utilization areas in real time, screens multiple effective utilization flows and corresponding effective utilization areas; performs AI decision-making urban sewage heat utilization regulation on the multiple effective utilization areas; calculates the blockage risk accumulation value corresponding to the multiple regulation and utilization areas; compares the blockage risks, and performs AI decision-making heat pipe flushing regulation. The present application can calculate the sewage utilization flow of the multiple regulation and utilization areas in real time, screen multiple effective utilization flows and corresponding effective utilization areas, and perform AI decision-making urban sewage heat utilization regulation, thereby scientifically and effectively regulating and processing urban sewage heat utilization, achieving effective heat recovery and utilization of urban sewage, and avoiding resource waste.

Description

Technical Field

[0001] This invention belongs to the field of urban wastewater control technology, and in particular relates to a real-time control method and system for urban wastewater that integrates AI decision-making. Background Technology

[0002] Urban wastewater control is the scientific process of controlling the generation, transportation, treatment, and discharge of wastewater through systematic management, monitoring, and regulation during urban drainage and wastewater treatment. Urban wastewater control not only relies on traditional engineering facilities but also incorporates information and intelligent technologies, such as IoT sensors, online water quality monitoring, big data analysis, and intelligent scheduling platforms, thereby achieving refined management and intelligent regulation of the wastewater system.

[0003] In existing technologies, research and application of urban sewage regulation mainly focus on the management of total sewage discharge and treatment efficiency. The core objective is often to prevent sewage overload caused by heavy rainfall, rapid population growth and increased industrial activities, as well as to improve sewage purification efficiency to ensure the safe and stable operation of drainage systems. However, there is a lack of scientific and effective regulation technologies for urban sewage heat utilization, which makes it impossible to effectively recover and utilize heat from urban sewage, resulting in a huge waste of resources. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for real-time control of urban sewage that integrates AI decision-making, in order to solve the technical problems existing in the prior art mentioned in the background.

[0005] The embodiments of the present invention are implemented as follows:

[0006] A real-time control method for urban wastewater treatment integrating AI decision-making, the method specifically includes the following steps:

[0007] Multiple regulation and utilization areas are identified, and environmental and demand monitoring of urban wastewater heat utilization is carried out in these multiple regulation and utilization areas to obtain multiple environmental demand data.

[0008] Based on multiple environmental demand data, the wastewater utilization flow rate corresponding to multiple control and utilization areas is calculated in real time, and multiple effective utilization flows and corresponding effective utilization areas are screened.

[0009] Based on multiple effective utilization flows, AI-based decision-making is used to regulate urban wastewater thermal utilization in multiple effective utilization areas;

[0010] Records and analyses of urban wastewater heat utilization regulation are performed on multiple regulation and utilization areas, and the cumulative blockage risk value corresponding to multiple regulation and utilization areas is calculated.

[0011] Based on the cumulative values ​​of multiple blockage risks, the blockage risk of urban wastewater heat utilization is compared, and heat transfer tube flushing and control are carried out using AI decision-making.

[0012] As a further limitation of the technical solution of this invention, the step of determining multiple regulation and utilization areas, and monitoring the environment and demand for urban wastewater heat utilization in the multiple regulation and utilization areas to obtain multiple environmental demand data specifically includes the following steps:

[0013] Obtain basic management information on urban wastewater heat utilization;

[0014] Based on the aforementioned basic management information, multiple control and utilization zones are divided;

[0015] Real-time environmental monitoring is performed on multiple control and utilization areas to obtain multiple environmental monitoring data.

[0016] Real-time demand monitoring is performed on multiple control and utilization areas to obtain multiple demand monitoring data.

[0017] By combining multiple environmental monitoring data and multiple demand monitoring data, environmental demand data corresponding to multiple regulation and utilization areas are obtained.

[0018] As a further limitation of the technical solution of this invention, the step of calculating the wastewater utilization flow rate corresponding to multiple control and utilization areas in real time based on multiple environmental demand data, and screening multiple effective utilization flows and corresponding effective utilization areas specifically includes the following steps:

[0019] Based on multiple environmental demand data, the wastewater utilization flow rate corresponding to multiple control and utilization areas is calculated in real time.

[0020] Based on a preset effective standard flow rate, the multiple wastewater utilization flow rates are compared.

[0021] Select multiple effective utilization flows from the multiple wastewater utilization flows mentioned above;

[0022] From the multiple control and utilization regions, match the multiple effective utilization regions corresponding to the effective utilization traffic.

[0023] As a further limitation of the technical solution of the embodiments of the present invention, the calculation formulas for the various wastewater utilization flow rates are as follows:

[0024] ;

[0025] in, Representing the Each regulatory and utilization area For the first Wastewater utilization flow rate in each regulated utilization area For the first The building space volume of each regulated area For the first The temperature required for the regulation and utilization of the area The current temperature, The preset heating coefficient, For the first Wastewater is utilized based on temperature difference in each control and utilization area.

[0026] As a further limitation of the technical solution of this invention, the urban wastewater heat utilization regulation that performs AI decision-making on multiple effective utilization areas based on multiple effective utilization flow rates specifically includes the following steps:

[0027] Based on the multiple effective utilizations of traffic, multiple corresponding traffic control information are generated;

[0028] Based on multiple flow control information, AI-based decision-making is used to regulate urban wastewater heat utilization in multiple effective utilization areas.

[0029] As a further limitation of the technical solution of this invention, the step of recording and analyzing the urban wastewater heat utilization regulation of multiple regulation and utilization areas, and calculating the cumulative value of blockage risk corresponding to multiple regulation and utilization areas specifically includes the following steps:

[0030] Stage-by-stage control records of urban wastewater heat utilization are made for multiple control and utilization areas, and data from multiple stages are obtained.

[0031] Filter multiple current stage data from the multiple stage record data;

[0032] Based on multiple current stage data, a congestion accumulation analysis is performed on multiple control and utilization areas to calculate multiple corresponding congestion risk accumulation values.

[0033] As a further limitation of the technical solution of this embodiment of the invention, the calculation formula for the multiple cumulative values ​​of congestion risk is as follows:

[0034] ;

[0035] in, For the first The cumulative value of congestion risk in each regulated area Representing the The first regulation and utilization area Each wastewater utilization period For the first The total number of wastewater utilization periods in each regulated and utilized area. The preset blockage rate constant, For the first The first regulation and utilization area The duration of each wastewater utilization period.

[0036] As a further limitation of the technical solution of this invention, the step of comparing the blockage risk of urban sewage heat utilization based on multiple accumulated blockage risk values ​​and making AI decisions on heat transfer tube flushing and control specifically includes the following steps:

[0037] Based on a preset congestion risk standard value, multiple cumulative congestion risk values ​​are compared;

[0038] The control and utilization area corresponding to the cumulative value of blockage risk that exceeds the blockage risk standard value is marked as a blockage risk area;

[0039] From multiple wastewater utilization flows, the target utilization flow corresponding to the blockage risk area is selected, and real-time tap water usage data is obtained;

[0040] Based on the target utilization flow rate and the real-time tap water usage data, plan the flushing control time;

[0041] Based on the blockage risk area and the flushing control time, corresponding flushing control information is generated;

[0042] Based on the flushing control information, AI-based flushing control is performed on the heat transfer tubes corresponding to the blockage risk area.

[0043] A real-time urban wastewater control system integrating AI decision-making, comprising an environmental demand monitoring module, a flow rate calculation module, a wastewater heat utilization control module, a risk accumulation value calculation module, and a heat transfer pipe flushing control module, wherein:

[0044] The environmental demand monitoring module is used to identify multiple regulation and utilization areas, monitor the environment and demand of urban wastewater heat utilization in the multiple regulation and utilization areas, and obtain multiple environmental demand data.

[0045] The flow calculation module is used to calculate the wastewater utilization flow corresponding to multiple control and utilization areas in real time based on multiple environmental demand data, and to filter multiple effective utilization flows and corresponding effective utilization areas;

[0046] The wastewater heat utilization control module is used to make AI decisions on the control of urban wastewater heat utilization in multiple effective utilization areas based on multiple effective utilization flow rates.

[0047] The risk accumulation value calculation module is used to record and analyze the urban wastewater heat utilization regulation and control of multiple regulation and utilization areas, and to calculate the blockage risk accumulation value corresponding to the multiple regulation and utilization areas.

[0048] The heat transfer tube flushing control module is used to compare the blockage risk of urban sewage heat utilization based on multiple accumulated blockage risk values, and to make AI-based decisions on heat transfer tube flushing control.

[0049] As a further limitation of the technical solution of this embodiment of the invention, the heat transfer tube flushing control module specifically includes:

[0050] The risk accumulation comparison unit is used to compare multiple accumulated blockage risk values ​​based on a preset blockage risk standard value;

[0051] The blockage risk area marking unit is used to mark the control and utilization area corresponding to the cumulative blockage risk value that is greater than the blockage risk standard value as a blockage risk area;

[0052] The target utilization flow filtering unit is used to filter the target utilization flow corresponding to the blockage risk area from multiple sewage utilization flows and obtain real-time tap water usage data.

[0053] A flushing control time planning unit is used to plan the flushing control time based on the target utilization flow rate and the real-time tap water usage data.

[0054] A flushing control information generation unit is used to generate corresponding flushing control information based on the blockage risk area and the flushing control time.

[0055] The AI ​​flushing control unit is used to perform AI-based flushing control on the heat transfer tubes corresponding to the blockage risk area according to the flushing control information.

[0056] Compared with the prior art, the beneficial effects of the present invention are:

[0057] (1) The present invention can calculate the sewage utilization flow corresponding to multiple control and utilization areas in real time, screen multiple effective utilization flow and corresponding effective utilization areas, and make AI decision-making for the control of urban sewage heat utilization, thereby scientifically and effectively controlling and treating urban sewage heat utilization, realizing effective heat recovery and utilization of urban sewage, and avoiding resource waste.

[0058] (2) This invention can record the stage control of urban sewage heat utilization in multiple control and utilization areas, screen multiple current stage data, perform blockage accumulation analysis, calculate multiple blockage risk accumulation values, conduct risk standard comparison analysis, mark blockage risk areas, plan flushing control time, and perform AI decision flushing control on the heat transfer pipes corresponding to the blockage risk areas, thereby eliminating the risk of blockage in a timely manner and avoiding the problems of pipe blockage and heat transfer efficiency reduction caused by dirt deposition. Attached Figure Description

[0059] Figure 1A flowchart of the real-time urban wastewater control method integrating AI decision-making provided in an embodiment of the present invention is shown;

[0060] Figure 2 The following is an application architecture diagram of the urban sewage real-time control system integrating AI decision-making provided by an embodiment of the present invention. Detailed Implementation

[0061] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0062] Understandably, current research and applications in urban wastewater management mainly focus on the management of total wastewater discharge and treatment efficiency. The core objective is often to prevent wastewater overload caused by heavy rainfall, rapid population growth, and increased industrial activity, as well as to improve wastewater purification efficiency to ensure the safe and stable operation of drainage systems. However, there is a lack of scientific and effective control technologies for urban wastewater heat utilization, resulting in the inability to effectively recover and utilize heat from urban wastewater, thus causing a huge waste of resources.

[0063] To address the aforementioned issues, this invention discloses a real-time urban wastewater control method and system integrating AI decision-making. This method identifies multiple control and utilization zones, monitors the environment and demand for urban wastewater heat utilization in these zones, and acquires multiple environmental demand data. Based on this data, it calculates the wastewater utilization flow rate corresponding to each control and utilization zone in real time, and filters out multiple effective utilization flow rates and corresponding effective utilization zones. Based on these effective utilization flow rates, it performs AI-based decision-making for urban wastewater heat utilization control in these zones. It records and analyzes the urban wastewater heat utilization control data for each control and utilization zone, calculating the cumulative blockage risk value for each zone. Based on these cumulative blockage risk values, it compares the blockage risks of urban wastewater heat utilization and performs AI-based decision-making for heat transfer pipe flushing control. This system can calculate the wastewater utilization flow rate corresponding to multiple control and utilization zones in real time, filter out multiple effective utilization flow rates and corresponding effective utilization zones, and perform AI-based decision-making for urban wastewater heat utilization control. This enables scientific and effective control and treatment of urban wastewater heat utilization, achieving effective heat recovery and utilization of urban wastewater and avoiding resource waste.

[0064] Specifically, Figure 1 A flowchart of the real-time urban wastewater control method integrating AI decision-making, as provided in an embodiment of the present invention, is shown.

[0065] In a preferred embodiment of the present invention, a real-time urban wastewater control method integrating AI decision-making specifically includes the following steps:

[0066] Step S101: Determine multiple control and utilization areas, and conduct environmental and demand monitoring of urban wastewater heat utilization in multiple control and utilization areas to obtain multiple environmental demand data.

[0067] In this embodiment of the invention, basic management information on urban wastewater heat utilization is obtained, and then regional management analysis of urban wastewater heat utilization is performed based on the basic management information. Multiple control and utilization areas are divided, and real-time environmental monitoring such as current air temperature and wastewater utilization temperature difference is performed on multiple control and utilization areas to obtain multiple environmental monitoring data. In addition, real-time demand monitoring such as building space volume and demand temperature is performed on multiple control and utilization areas to obtain multiple demand monitoring data. Then, the environmental monitoring data and demand monitoring data corresponding to multiple control and utilization areas are comprehensively sorted to obtain environmental demand data corresponding to multiple control and utilization areas.

[0068] Specifically, in another preferred embodiment provided by the present invention, the step of determining multiple regulation and utilization areas, and conducting environmental and demand monitoring of urban wastewater heat utilization in the multiple regulation and utilization areas to obtain multiple environmental demand data specifically includes the following steps:

[0069] Obtain basic management information on urban wastewater heat utilization;

[0070] Based on the aforementioned basic management information, multiple control and utilization zones are divided;

[0071] Real-time environmental monitoring is performed on multiple control and utilization areas to obtain multiple environmental monitoring data.

[0072] Real-time demand monitoring is performed on multiple control and utilization areas to obtain multiple demand monitoring data.

[0073] By combining multiple environmental monitoring data and multiple demand monitoring data, environmental demand data corresponding to multiple regulation and utilization areas are obtained.

[0074] Furthermore, the real-time urban wastewater control method integrating AI decision-making also includes the following steps:

[0075] Step S102: Based on the multiple environmental demand data, calculate the wastewater utilization flow corresponding to the multiple control and utilization areas in real time, and screen multiple effective utilization flows and corresponding effective utilization areas.

[0076] In this embodiment of the invention, based on multiple environmental demand data, the wastewater utilization flow rate corresponding to multiple control and utilization zones is calculated in real time. These multiple wastewater utilization flow rates are then compared with a preset effective standard flow rate. Subsequently, multiple effective utilization flow rates greater than the effective standard flow rate are selected from the multiple wastewater utilization flow rates. Then, effective utilization zones corresponding to these multiple effective utilization flow rates are matched from the multiple control and utilization zones, thereby achieving automatic screening of multiple effective utilization flow rates and multiple effective utilization zones. Specifically, the calculation formula for the multiple wastewater utilization flow rates is as follows:

[0077] ;

[0078] in, Representing the Each regulatory and utilization area For the first Wastewater utilization flow rate in each regulated utilization area For the first The building space volume of each regulated area For the first The temperature required for the regulation and utilization of the area The current temperature, The preset heating coefficient, For the first Wastewater is utilized based on temperature difference in each control and utilization area.

[0079] Understandably, the wastewater utilization flow rate obtained according to the calculation formula can fall into three categories: greater than 0, equal to 0, or less than 0. Specifically: when it is equal to 0 or less than 0, there is no need for urban wastewater heat utilization; when it is greater than 0, if the wastewater utilization flow rate is not greater than the effective standard flow rate, it indicates that the effect of urban wastewater heat utilization is not significant, and there is no need for urban wastewater heat utilization; however, when the wastewater utilization flow rate is greater than the effective standard flow rate, it indicates that the effect of urban wastewater heat utilization is significant. In this case, the corresponding wastewater utilization flow rate can be determined as the effective utilization flow rate, and the corresponding effective utilization area can be matched to prepare for subsequent urban wastewater heat utilization regulation.

[0080] Specifically, in another preferred embodiment provided by the present invention, the step of calculating the wastewater utilization flow rate corresponding to multiple control and utilization areas in real time based on multiple environmental demand data, and screening multiple effective utilization flows and corresponding effective utilization areas specifically includes the following steps:

[0081] Based on multiple environmental demand data, the wastewater utilization flow rate corresponding to multiple control and utilization areas is calculated in real time.

[0082] Based on a preset effective standard flow rate, the multiple wastewater utilization flow rates are compared.

[0083] Select multiple effective utilization flows from the multiple wastewater utilization flows mentioned above;

[0084] From the multiple control and utilization regions, match the multiple effective utilization regions corresponding to the effective utilization traffic.

[0085] Furthermore, the real-time urban wastewater control method integrating AI decision-making also includes the following steps:

[0086] Step S103: Based on the multiple effective utilization flows, perform AI decision-making on the urban wastewater heat utilization regulation of the multiple effective utilization areas.

[0087] In this embodiment of the invention, multiple corresponding flow control information is generated based on multiple effective utilization flow rates. Then, according to the multiple flow control information, the urban sewage heat utilization control of multiple effective utilization areas is controlled by AI decision-making. In this way, the urban sewage with the corresponding effective utilization flow rate of multiple effective utilization areas is controlled to enter the heat transfer pipe for heat recovery and utilization treatment.

[0088] It is understandable that heat recovery and utilization can be achieved through heat pumps.

[0089] Specifically, in another preferred embodiment provided by the present invention, the urban wastewater thermal utilization regulation that makes AI decisions on multiple effective utilization areas based on multiple effective utilization flow rates specifically includes the following steps:

[0090] Based on the multiple effective utilizations of traffic, multiple corresponding traffic control information are generated;

[0091] Based on multiple flow control information, AI-based decision-making is used to regulate urban wastewater heat utilization in multiple effective utilization areas.

[0092] Furthermore, the real-time urban wastewater control method integrating AI decision-making also includes the following steps:

[0093] Step S104: Record and analyze the urban wastewater heat utilization regulation of multiple regulation and utilization areas, and calculate the cumulative value of blockage risk corresponding to multiple regulation and utilization areas.

[0094] In this embodiment of the invention, multiple stages of urban wastewater heat utilization are recorded through phased regulation of multiple regulation and utilization areas to obtain multiple stage record data. Then, current stage data corresponding to multiple regulation and utilization areas is selected from the multiple stage record data. Based on the multiple current stage data, a blockage accumulation analysis is performed on the multiple regulation and utilization areas to calculate multiple corresponding blockage risk accumulation values. Specifically, the calculation formula for the multiple blockage risk accumulation values ​​is as follows:

[0095] ;

[0096] in, For the first The cumulative value of congestion risk in each regulated area Representing the The first regulation and utilization area Each wastewater utilization period For the first The total number of wastewater utilization periods in each regulated and utilized area. The preset blockage rate constant, For the first The first regulation and utilization area The duration of each wastewater utilization period.

[0097] Understandably, the calculated cumulative congestion risk value is obtained according to the formula for calculating the cumulative congestion risk value. The closer it is to 1, the higher the corresponding number of... The more controlled the heat transfer pipes in a given area, the greater the risk of blockage.

[0098] It is understandable that multiple stages of data are recorded, corresponding to multiple control and utilization areas, and each stage of data is composed of data from multiple control stages. In the stage control records of urban sewage heat utilization, if urban sewage heat recovery and utilization control is carried out and heat transfer tube flushing control is completed, then a stage is updated. The current stage data corresponds to the latest current stage, at which point only urban sewage heat recovery and utilization control has been carried out, and heat transfer tube flushing control has not been carried out.

[0099] Specifically, in another preferred embodiment provided by the present invention, the step of recording and analyzing the urban wastewater heat utilization regulation of multiple regulation and utilization areas, and calculating the cumulative blockage risk value corresponding to the multiple regulation and utilization areas, specifically includes the following steps:

[0100] Stage-by-stage control records of urban wastewater heat utilization are made for multiple control and utilization areas, and data from multiple stages are obtained.

[0101] Filter multiple current stage data from the multiple stage record data;

[0102] Based on multiple current stage data, a congestion accumulation analysis is performed on multiple control and utilization areas to calculate multiple corresponding congestion risk accumulation values.

[0103] Furthermore, the real-time urban wastewater control method integrating AI decision-making also includes the following steps:

[0104] Step S105: Based on the cumulative values ​​of multiple blockage risks, compare the blockage risks of urban sewage heat utilization and perform heat transfer tube flushing control based on AI decision-making.

[0105] In this embodiment of the invention, multiple cumulative values ​​of blockage risk are compared with preset blockage risk standard values. The control and utilization areas corresponding to the cumulative values ​​of blockage risk greater than the blockage risk standard values ​​are marked as blockage risk areas. Target utilization flow rates corresponding to the blockage risk areas are selected from multiple wastewater utilization flow rates, and real-time tap water usage data is obtained. By comprehensively analyzing the target utilization flow rates and real-time tap water usage data, flushing and control time is planned. Then, based on the blockage risk areas and flushing and control time, corresponding flushing and control information is generated. Finally, according to the flushing and control information, AI-based flushing and control is performed on the heat transfer tubes corresponding to the blockage risk areas to eliminate the risk of blockage.

[0106] It is understandable that during the planned flushing and control time, the target utilization flow rate is not greater than the effective standard flow rate, and the tap water flow rate corresponding to the real-time tap water usage data is less than the preset standard water flow rate (the flow rate corresponding to the peak tap water usage period). This indicates that there is no need to carry out urban sewage heat utilization at this time, and the tap water usage is in the off-peak period. Therefore, the heat transfer pipe flushing operation can be carried out without affecting the urban sewage heat utilization and tap water usage.

[0107] It is understood that, in this embodiment of the invention, the standard value for blockage risk can be set to 0.85.

[0108] Specifically, in another preferred embodiment provided by the present invention, the step of comparing the blockage risk of urban wastewater heat utilization based on multiple accumulated blockage risk values ​​and making AI decisions on heat transfer tube flushing control specifically includes the following steps:

[0109] Based on a preset congestion risk standard value, multiple cumulative congestion risk values ​​are compared;

[0110] The control and utilization area corresponding to the cumulative value of blockage risk that exceeds the blockage risk standard value is marked as a blockage risk area;

[0111] From multiple wastewater utilization flows, the target utilization flow corresponding to the blockage risk area is selected, and real-time tap water usage data is obtained;

[0112] Based on the target utilization flow rate and the real-time tap water usage data, plan the flushing control time;

[0113] Based on the blockage risk area and the flushing control time, corresponding flushing control information is generated;

[0114] Based on the flushing control information, AI-based flushing control is performed on the heat transfer tubes corresponding to the blockage risk area.

[0115] Furthermore, Figure 2The following is an application architecture diagram of the urban sewage real-time control system integrating AI decision-making provided by an embodiment of the present invention.

[0116] Specifically, in another preferred embodiment provided by the present invention, the urban wastewater real-time control system integrating AI decision-making includes:

[0117] The environmental demand monitoring module 101 is used to identify multiple regulation and utilization areas, monitor the environment and demand of urban wastewater heat utilization in the multiple regulation and utilization areas, and obtain multiple environmental demand data.

[0118] In this embodiment of the invention, the environmental demand monitoring module 101 acquires basic management information on urban wastewater heat utilization, performs regional management analysis on urban wastewater heat utilization based on the basic management information, divides multiple control and utilization areas, and performs real-time environmental monitoring on multiple control and utilization areas, such as current air temperature and wastewater utilization temperature difference, to acquire multiple environmental monitoring data. It also performs real-time demand monitoring on multiple control and utilization areas, such as building space volume and demand temperature, to acquire multiple demand monitoring data. Finally, it integrates and organizes the environmental monitoring data and demand monitoring data corresponding to multiple control and utilization areas to obtain environmental demand data corresponding to multiple control and utilization areas.

[0119] The flow calculation module 102 is used to calculate the wastewater utilization flow corresponding to multiple control and utilization areas in real time based on multiple environmental demand data, and to filter multiple effective utilization flows and corresponding effective utilization areas.

[0120] In this embodiment of the invention, the flow calculation module 102 calculates the wastewater utilization flow corresponding to multiple control and utilization areas in real time based on multiple environmental demand data, compares the multiple wastewater utilization flow with a preset effective standard flow, and then selects multiple effective utilization flow rates that are greater than the effective standard flow from the multiple wastewater utilization flow rates. Furthermore, it matches the effective utilization areas corresponding to the multiple effective utilization flow rates from the multiple control and utilization areas, thereby achieving automatic filtering of multiple effective utilization flow rates and multiple effective utilization areas. Specifically, the calculation formula for the multiple wastewater utilization flow rates is as follows:

[0121] ;

[0122] in, Representing the Each regulatory and utilization area For the first Wastewater utilization flow rate in each regulated utilization area For the first The building space volume of each regulated area For the first The temperature required for the regulation and utilization of the area The current temperature, The preset heating coefficient, For the first Wastewater is utilized based on temperature difference in each control and utilization area.

[0123] Wastewater heat utilization control module 103 is used to control urban wastewater heat utilization by making AI decisions on multiple effective utilization areas based on multiple effective utilization flow rates.

[0124] In this embodiment of the invention, the wastewater heat utilization control module 103 generates multiple corresponding flow control information based on multiple effective utilization flow rates, and then performs AI decision-making on urban wastewater heat utilization control for multiple effective utilization areas according to the multiple flow control information, thereby controlling the corresponding effective utilization flow rates of urban wastewater in multiple effective utilization areas to enter the heat transfer pipe for heat recovery and utilization treatment.

[0125] The risk accumulation value calculation module 104 is used to record and analyze the urban sewage heat utilization regulation of multiple regulation and utilization areas, and to calculate the blockage risk accumulation value corresponding to the multiple regulation and utilization areas.

[0126] In this embodiment of the invention, the risk accumulation value calculation module 104 obtains multiple stage record data by recording the stage regulation of urban wastewater heat utilization in multiple regulation and utilization areas, then filters the current stage data corresponding to multiple regulation and utilization areas from the multiple stage record data, and then performs blockage accumulation analysis on multiple regulation and utilization areas based on the multiple current stage data to calculate multiple corresponding blockage risk accumulation values. Specifically, the calculation formula for multiple blockage risk accumulation values ​​is as follows:

[0127] ;

[0128] in, For the first The cumulative value of congestion risk in each regulated area Representing the The first regulation and utilization area Each wastewater utilization period For the first The total number of wastewater utilization periods in each regulated and utilized area. The preset blockage rate constant, For the first The first regulation and utilization area The duration of each wastewater utilization period.

[0129] The heat transfer tube flushing control module 105 is used to compare the blockage risk of urban sewage heat utilization based on multiple accumulated blockage risk values ​​and to make AI-based decisions on heat transfer tube flushing control.

[0130] In this embodiment of the invention, the heat transfer tube flushing control module 105 compares multiple cumulative blockage risk values ​​with preset blockage risk standard values, marks the control utilization area corresponding to the cumulative blockage risk value that is greater than the blockage risk standard value as a blockage risk area, and selects the target utilization flow corresponding to the blockage risk area from multiple wastewater utilization flow rates, and obtains real-time tap water usage data. By comprehensively analyzing the target utilization flow rate and real-time tap water usage data, the flushing control time is planned, and then the corresponding flushing control information is generated according to the blockage risk area and the flushing control time. Then, according to the flushing control information, the heat transfer tube corresponding to the blockage risk area is flushed and controlled by AI decision-making to eliminate the risk of blockage.

[0131] Specifically, in another preferred embodiment provided by the present invention, the heat transfer tube flushing control module 105 specifically includes:

[0132] The risk accumulation comparison unit is used to compare multiple accumulated blockage risk values ​​based on a preset blockage risk standard value;

[0133] The blockage risk area marking unit is used to mark the control and utilization area corresponding to the cumulative blockage risk value that is greater than the blockage risk standard value as a blockage risk area;

[0134] The target utilization flow filtering unit is used to filter the target utilization flow corresponding to the blockage risk area from multiple sewage utilization flows and obtain real-time tap water usage data.

[0135] A flushing control time planning unit is used to plan the flushing control time based on the target utilization flow rate and the real-time tap water usage data.

[0136] A flushing control information generation unit is used to generate corresponding flushing control information based on the blockage risk area and the flushing control time.

[0137] The AI ​​flushing control unit is used to perform AI-based flushing control on the heat transfer tubes corresponding to the blockage risk area according to the flushing control information.

[0138] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for real-time regulation and control of urban sewage with fusion of AI decision, characterized in that, The method specifically comprises the following steps: Determine a plurality of regulated utilization areas, monitor the environment and demand of municipal sewage heat utilization in a plurality of regulated utilization areas, and obtain a plurality of environmental demand data; According to a plurality of said environmental demand data, real-time calculation of a plurality of said regulated utilization area corresponding sewage utilization flow, screening a plurality of effective utilization flow and corresponding effective utilization area; Specifically, according to a plurality of environmental demand data, real-time calculation of a plurality of regulated utilization area corresponding sewage utilization flow, and comparing a plurality of sewage utilization flow with a preset effective standard flow, and then selecting a plurality of effective utilization flow from a plurality of sewage utilization flow which is greater than the effective standard flow, and then matching a plurality of effective utilization flow corresponding to the effective utilization area from a plurality of regulated utilization areas, the calculation formula of a plurality of sewage utilization flow is: ； wherein, represents the first control utilization area, represents the first control utilization area, represents the first control utilization area, represents the first control utilization area, represents the current air temperature, represents a preset heating coefficient, represents the first control utilization area; According to a plurality of said effective utilization flow, AI decision of municipal sewage heat utilization regulation of a plurality of said effective utilization area; Record and analyze the municipal sewage heat utilization regulation of a plurality of said regulated utilization area, and calculate the corresponding congestion risk accumulation value of a plurality of said regulated utilization area; Specifically, by recording the stage regulation of a plurality of regulated utilization areas for municipal sewage heat utilization, a plurality of stage record data are obtained, and then a plurality of current stage data corresponding to a plurality of regulated utilization areas are screened from a plurality of stage record data, and then according to a plurality of current stage data, a plurality of regulated utilization areas are analyzed for congestion accumulation, and a plurality of corresponding congestion risk accumulation values are calculated, and the calculation formula of a plurality of congestion risk accumulation values is: ； in, For the first The cumulative value of congestion risk in each controlled area Representing the The first regulation and utilization area Each wastewater utilization period For the first The total number of wastewater utilization periods in each regulated and utilized area. The preset blockage rate constant, For the first The first regulation and utilization area The duration of each wastewater utilization period; According to a plurality of said congestion risk accumulation values, compare the congestion risk of municipal sewage heat utilization, and make AI decision of heat pipe flushing regulation; Specifically, comparing a plurality of congestion risk accumulation values with a preset congestion risk standard value, marking the regulated utilization area corresponding to the congestion risk accumulation value greater than the congestion risk standard value as the congestion risk area, and screening the target utilization flow corresponding to the congestion risk area from a plurality of sewage utilization flow, and obtaining real-time tap water data, and planning the flushing regulation time by comprehensively analyzing the target utilization flow and real-time tap water data, and then generating the corresponding flushing regulation information according to the congestion risk area and the flushing regulation time, and then flushing the heat pipe corresponding to the congestion risk area according to the flushing regulation information, to eliminate the risk of congestion; The target utilization flow is not greater than the effective standard flow, and the tap water flow corresponding to the real-time tap water data is less than the preset standard water flow, which indicates that there is no need for municipal sewage heat utilization at this time, and the tap water is in a non-peak period, so the flushing operation of the heat pipe is carried out, and it will not affect the use of municipal sewage heat utilization and tap water.

2. The method according to claim 1, wherein, The method specifically comprises the following steps: Obtain the basic management information of municipal sewage heat utilization; According to the said basic management information, divide a plurality of regulated utilization areas; Real-time environment monitoring is performed on the multiple regulation utilization areas to obtain multiple environment monitoring data; Real-time demand monitoring is performed on the multiple regulation utilization areas to obtain multiple demand monitoring data; The multiple environment monitoring data and the multiple demand monitoring data are integrated to obtain environment demand data corresponding to the multiple regulation utilization areas.

3. The method of claim 1, wherein the method comprises: The urban sewage heat utilization regulation based on the multiple effective utilization flows specifically includes the following steps: According to the multiple effective utilization flows, multiple corresponding flow regulation information is generated; According to the multiple flow regulation information, AI decision of the urban sewage heat utilization regulation is performed on the multiple effective utilization areas.

4. The urban sewage real-time regulation system fused with AI decision, characterized in that, The system includes an environment demand monitoring module, a utilization flow calculation module, a sewage heat utilization regulation module, a risk accumulation value calculation module, and a heat transfer pipe flushing regulation module, wherein: The environment demand monitoring module is used to determine multiple regulation utilization areas, perform environment and demand monitoring of urban sewage heat utilization on the multiple regulation utilization areas, and obtain multiple environment demand data; The utilization flow calculation module is used to calculate sewage utilization flows corresponding to the multiple regulation utilization areas in real time according to the multiple environment demand data, screen multiple effective utilization flows and corresponding effective utilization areas, and calculate a formula for the multiple sewage utilization flows as follows: The sewage heat utilization regulation module is used to perform AI decision of urban sewage heat utilization regulation on the multiple effective utilization areas according to the multiple effective utilization flows; ； in, Representing the One regulatory and utilization area, For the first Wastewater utilization flow rate in each regulated utilization area For the first The building space volume of each regulated area For the first The temperature required for the regulation and utilization of the region The current temperature, The preset heating coefficient, For the first Wastewater utilization temperature difference in each control and utilization area; The risk accumulation value calculation module is used to record and analyze urban sewage heat utilization regulation of the multiple regulation utilization areas, and calculate a formula for the multiple corresponding blockage risk accumulation values as follows: Specifically, the risk accumulation value calculation module obtains multiple stage record data by recording the stages of urban sewage heat utilization of the multiple regulation utilization areas, screens multiple current stage data corresponding to the multiple regulation utilization areas from the multiple stage record data, and then performs blockage accumulation analysis on the multiple regulation utilization areas according to the multiple current stage data to calculate the multiple corresponding blockage risk accumulation values. The heat transfer pipe flushing regulation module is used to compare blockage risks of urban sewage heat utilization according to the multiple blockage risk accumulation values, and perform AI decision of heat transfer pipe flushing regulation. ； in, For the first The cumulative value of congestion risk in each regulated area Representing the The first regulation and utilization area Each wastewater utilization period For the first The total number of wastewater utilization periods in each regulated and utilized area. The preset blockage rate constant, For the first The first regulation and utilization area The duration of each wastewater utilization period; ​ Specifically, the heat pipe flushing regulation module compares the plurality of blockage risk accumulation values with the preset blockage risk standard value, marks the regulation utilization area corresponding to the blockage risk accumulation value greater than the blockage risk standard value as a blockage risk area, selects a target utilization flow from the plurality of sewage utilization flows corresponding to the blockage risk area, obtains real-time tap water consumption data, plans a flushing regulation time through comprehensive analysis of the target utilization flow and the real-time tap water consumption data, generates corresponding flushing regulation information according to the blockage risk area and the flushing regulation time, and performs AI decision flushing regulation on the heat pipe corresponding to the blockage risk area according to the flushing regulation information, thereby eliminating the risk of blockage.

5. The urban sewage real-time regulation system of fusion AI decision according to claim 4, characterized in that, The heat pipe flushing regulation module specifically comprises: a risk accumulation comparison unit configured to compare the plurality of blockage risk accumulation values based on the preset blockage risk standard value; a blockage risk area marking unit configured to mark the regulation utilization area corresponding to the blockage risk accumulation value greater than the blockage risk standard value as a blockage risk area; a target utilization flow selection unit configured to select a target utilization flow corresponding to the blockage risk area from the plurality of sewage utilization flows and obtain real-time tap water consumption data; a flushing regulation time planning unit configured to plan a flushing regulation time according to the target utilization flow and the real-time tap water consumption data; a flushing regulation information generation unit configured to generate corresponding flushing regulation information according to the blockage risk area and the flushing regulation time; and an AI flushing regulation unit configured to perform AI decision flushing regulation on the heat pipe corresponding to the blockage risk area according to the flushing regulation information.

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