A sewage pipeline fouling monitoring and cleaning method, system, device and medium

Abstract

The present application relates to the technical field of sewage treatment, and more particularly to a sewage pipeline fouling monitoring and cleaning method, system, device and medium, the sewage pipeline fouling monitoring and cleaning method comprising: acquiring sewage pipeline inner wall data, obtaining pipeline fouling information based on the sewage pipeline inner wall data; obtaining a fouling spectrum based on the pipeline fouling information, and obtaining fouling component information according to the fouling spectrum; inputting the fouling component information into a preset fouling and cleaning query table to obtain a fouling cleaning type, generating a fouling cleaning instruction based on the fouling cleaning type; in response to the fouling cleaning instruction, obtaining cleaning parameters, and performing fouling cleaning on the sewage pipeline based on the cleaning parameters to obtain cleaning data. The present application has the effect of real-time monitoring of the fouling condition of the sewage pipeline and timely cleaning of the fouling of the sewage pipeline.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of sewage treatment, and in particular to a sewage pipeline fouling monitoring and cleaning method, system, device and medium. BACKGROUND

[0002] In the field of sewage treatment, pipeline fouling is a long-standing problem. Fouling can cause the inner diameter of the pipeline to decrease, causing water flow to be blocked, thereby increasing the working burden of the pump and power consumption. Traditional pipeline monitoring mainly relies on manual inspection and chemical analysis, which is not only inefficient, but also has a large impact on accuracy due to human factors, making it difficult to meet the efficient operation needs of modern sewage treatment systems.

[0003] To solve the problem of pipeline fouling, existing technologies often use periodic manual inspection supplemented by chemical cleaning. Although this method can reduce the impact of fouling to some extent, it has several significant problems: first, it cannot accurately determine when to remove the dirt, often resulting in too early or too late removal of the dirt; second, it relies on manual operation, which is not only inefficient but also costly. Some existing technologies have made preliminary automatic monitoring of pipeline conditions, such as using simple sensors to detect the state of the pipeline. However, these methods usually cannot accurately determine the degree of fouling, resulting in insufficient or excessive frequency of cleaning operations.

[0004] Existing technologies have obvious deficiencies in monitoring sewage pipeline fouling. The monitoring methods are not accurate enough to determine the best time for cleaning, and the response speed is slow, making it difficult to adapt to real-time conditions of the pipeline. In addition, the over-reliance on manual operation not only increases costs but also reduces efficiency, making it difficult to meet the needs of modern sewage treatment systems for high efficiency and automation. These defects together result in waste of resources and increased operating costs, which need to be improved. SUMMARY

[0005] To monitor sewage pipeline fouling in real time and clean the sewage pipeline fouling in a timely manner, the present application provides a sewage pipeline fouling monitoring and cleaning method, system, device and medium.

[0006] The above-mentioned invention purpose of the present application is achieved by the following technical solutions:

[0007] A sewage pipeline fouling monitoring and cleaning method, the sewage pipeline fouling monitoring and cleaning method comprising the steps of:

[0008] Obtaining sewage pipeline inner wall data, and obtaining pipeline fouling information based on the sewage pipeline inner wall data;

[0009] Obtaining a fouling map based on the pipeline fouling information, and obtaining fouling component information according to the fouling map;

[0010] inputting the fouling component information into a preset fouling cleaning query table, obtaining a fouling cleaning type, and generating a fouling cleaning instruction based on the fouling cleaning type;

[0011] obtaining a cleaning parameter in response to the fouling cleaning instruction, performing fouling cleaning on the sewage pipeline based on the cleaning parameter, and obtaining cleaning data.

[0012] In the fouling cleaning process of the sewage pipeline, the sensor in the sewage pipeline is used to obtain the sewage pipeline inner wall data in real time, which refers to the state of the sewage pipeline. The sewage pipeline fouling information is obtained based on the sewage pipeline inner wall data, which refers to the fouling condition of the sewage pipeline. The fouling spectrum is obtained by analyzing the sewage pipeline fouling information. The fouling spectrum refers to the fouling spectrum of the sewage pipeline inner wall. The fouling component information is obtained by analyzing the fouling spectrum, which refers to the specific components of the fouling in the sewage pipeline. The specific fouling components are cleaned accordingly, which improves the cleaning efficiency. The fouling component information is input into a preset fouling cleaning query table, which sets the mapping relationship between the fouling component information and the cleaning scheme. The fouling type is queried based on the fouling component information, which improves the cleaning effect and realizes efficient fouling cleaning. The corresponding fouling cleaning instruction is generated based on the obtained cleaning type. The cleaning parameter is obtained in response to the fouling cleaning instruction, which refers to the specific parameter of the cleaning equipment. The cleaning parameter is set on the corresponding cleaning equipment to clean the fouling of the sewage pipeline and obtain the cleaning data in real time to analyze the cleaning effect. The fouling condition of the sewage pipeline is monitored in real time during the entire fouling cleaning process of the sewage pipeline, and the specific components are cleaned efficiently. The function of monitoring the fouling condition of the sewage pipeline in real time and cleaning the fouling of the sewage pipeline in time is realized.

[0013] In a preferred example, the application can be further configured to: obtain the sewage pipeline inner wall data, and obtain the pipeline fouling information based on the sewage pipeline inner wall data, specifically including:

[0014] obtain the pipe wall pressure data based on the sewage pipeline inner wall data, compare the pipe wall pressure data with a preset pressure threshold to obtain a pressure comparison result;

[0015] determine whether the sewage pipeline is fouled according to the pressure comparison result, and if so, obtain the pipeline fouling information based on the pipe wall pressure data.

[0016] By adopting the technical scheme, when analyzing whether scaling exists in the sewage pipeline, the pipe wall pressure data is obtained by extracting the sewage pipeline inner wall data. The pipe wall pressure data refers to the pressure borne by the sewage pipeline inner wall. When scaling exists in the sewage pipeline, the pipe wall pressure data is different from the pipe wall pressure data when there is no scaling. By comparing the pipe wall pressure data with the preset pressure threshold, the pressure comparison result is obtained. According to the pressure comparison result, whether scaling exists in the sewage pipeline is analyzed. If scaling exists, the pipe scaling information is obtained according to the pipe wall pressure data, and the function of real-time monitoring of scaling of the sewage pipeline is realized.

[0017] In a preferred example, the application can be further configured to: the sewage pipeline inner wall data is obtained, and the pipe scaling information is obtained based on the sewage pipeline inner wall data, further comprising:

[0018] The pipe thermal imaging data is obtained based on the sewage pipeline inner wall data, and the temperature anomaly data is obtained according to the pipe thermal imaging data.

[0019] The temperature anomaly data is input into a preset depth analysis model to obtain the pipe scaling information.

[0020] By adopting the technical scheme, the pipe thermal imaging data is extracted by analyzing the sewage pipeline inner wall data. The pipe thermal imaging data refers to the thermal imaging diagram of the sewage pipeline surface. The temperature anomaly data is obtained by analyzing the pipe thermal imaging data. In the sewage pipeline, the scaling area often has temperature anomalies due to the obstruction of heat conduction. The temperature anomaly data is input into a preset depth analysis model to further determine whether scaling occurs in the sewage pipeline. The pipe scaling information is obtained according to the analysis result, and the function of analyzing whether scaling exists in the sewage pipeline by using the thermal imaging method is realized.

[0021] In a preferred example, the application can be further configured to: the scaling map is obtained based on the pipe scaling information, and the scaling component information is obtained according to the scaling map, specifically comprising:

[0022] The scaling image is obtained according to the pipe scaling information, the scaling image is input into a preset image processing model to obtain the scaling map, and the component ratio value is obtained based on the scaling map.

[0023] The scaling component information is determined according to the component ratio value.

[0024] By adopting the technical scheme, after determining that there is scaling in the sewage pipeline, the pipeline scaling information is extracted and analyzed to obtain a scaling image. Specifically, the scaling position in the sewage pipeline is determined according to the pipeline scaling information, the scaling image is obtained at the corresponding position by using an image capturing device, the scaling image refers to a scaling image of the inner wall of the sewage pipeline, the scaling image is input into an image processing model, the scaling image is converted into a scaling spectrum, the scaling spectrum is analyzed by using a spectrum analysis model to obtain a component ratio of the scaling, the scaling component information is determined by analyzing the component ratio, and the scaling component analysis function of the sewage pipeline is realized, which is beneficial to targeted cleaning.

[0025] In a preferred example, the application can be further configured to, before the step of inputting the scaling component information into a preset scaling cleaning query table to obtain a scaling cleaning type and generating a scaling cleaning instruction based on the scaling cleaning type, the method further comprises:

[0026] obtaining historical scaling data, obtaining corresponding historical scaling component information and historical cleaning types based on the historical scaling data;

[0027] constructing a scaling cleaning query table based on a mapping relationship between the historical scaling component information and the historical cleaning types.

[0028] By adopting the technical scheme, the historical scaling conditions of the sewage pipeline are analyzed to obtain the historical scaling data, the historical scaling data is analyzed to obtain the historical scaling component information and the corresponding historical cleaning types, and the mapping relationship between the historical scaling component information and the historical cleaning types is used to construct the scaling cleaning query table, so that the scaling cleaning scheme can be quickly determined according to the scaling component in the sewage pipeline.

[0029] In a preferred example, the application can be further configured to, after the step of responding to the scaling cleaning instruction, obtaining cleaning parameters, performing scaling cleaning on the sewage pipeline based on the cleaning parameters, and obtaining cleaning data, the method further comprises:

[0030] obtaining pipeline state information based on the cleaning data, and obtaining pipeline health data according to the pipeline state information;

[0031] developing a sewage pipeline preventive maintenance plan based on the pipeline health data.

[0032] By adopting the technical scheme, after the scaling in the sewage pipeline is cleaned, cleaning data is obtained, the cleaning data refers to the scaling cleaning condition in the sewage pipeline, the cleaning data is analyzed to obtain pipeline state information, the pipeline state information refers to the in-pipeline condition of the sewage pipeline, the pipeline state information is used to determine the health data of the sewage pipeline, the pipeline health data is used to facilitate the staff to understand the health state of the current pipeline, and a preventive maintenance plan of the sewage pipeline is formulated according to the pipeline health data, so that the preventive maintenance of the sewage pipeline is performed.

[0033] The second application purpose of the present application is achieved by the following technical scheme.

[0034] A sewage pipeline scaling monitoring and cleaning system, comprising:

[0035] A pipeline scaling determination module is configured to acquire sewage pipeline inner wall data and obtain pipeline scaling information based on the sewage pipeline inner wall data.

[0036] A scaling component analysis module is configured to obtain scaling spectrum based on the pipeline scaling information and obtain scaling component information according to the scaling spectrum.

[0037] A cleaning instruction generation module is configured to input the scaling component information into a preset scaling cleaning query table, obtain scaling cleaning types, and generate scaling cleaning instructions based on the scaling cleaning types.

[0038] A scaling cleaning module is configured to obtain cleaning parameters in response to the scaling cleaning instructions, perform scaling cleaning on the sewage pipeline based on the cleaning parameters, and obtain cleaning data.

[0039] By adopting the technical scheme, in the process of scaling cleaning of the sewage pipeline, the sensor in the sewage pipeline is used to acquire the sewage pipeline inner wall data in real time, the sewage pipeline inner wall data refers to the state of the sewage pipeline, the obtained sewage pipeline inner wall data is used to acquire the pipeline scaling information, the pipeline scaling information refers to the scaling state of the sewage pipeline, the pipeline scaling information is analyzed to obtain the scaling map, the scaling map refers to the scaling map of the scaling analysis of the sewage pipeline inner wall, the scaling map is analyzed to obtain the scaling component information, the scaling component information refers to the specific component of the scaling in the sewage pipeline, so that the specific component of the scaling can be cleaned in a targeted manner, the cleaning efficiency is improved, the scaling component information is input into the preset scaling cleaning query table, the scaling component information and the cleaning scheme are set in the scaling cleaning query table, the scaling component information is used for cleaning type query, the cleaning effect is improved, efficient scaling cleaning is realized, the corresponding scaling cleaning instruction is generated according to the obtained cleaning type, the scaling cleaning instruction is responded, the cleaning parameter is obtained, the cleaning parameter refers to the specific parameter of the cleaning equipment, the cleaning parameter is set on the corresponding cleaning equipment, the scaling cleaning of the sewage pipeline is performed, and the cleaning data is acquired in real time, so that the cleaning effect can be analyzed, the scaling of the entire sewage pipeline can be monitored in real time, the scaling can be analyzed, the specific component can be cleaned efficiently, and the functions of monitoring the scaling of the sewage pipeline in real time and cleaning the scaling of the sewage pipeline in time are realized.

[0040] The third purpose of the present application is achieved by the following technical scheme:

[0041] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to realize the steps of the above-mentioned sewage pipeline scaling monitoring and cleaning method.

[0042] The fourth purpose of the present application is achieved by the following technical scheme:

[0043] A computer readable storage medium stores a computer program, and the computer program is executed by a processor to realize the steps of the above-mentioned sewage pipeline scaling monitoring and cleaning method.

[0044] In summary, the present application includes at least one of the following beneficial technical effects:

[0045] 1. In the process of scaling cleaning of sewage pipeline, the sensor in the sewage pipeline is used to obtain the sewage pipeline inner wall data in real time, which refers to the state of the sewage pipeline, and the sewage pipeline scaling information is obtained by using the sewage pipeline inner wall data, which refers to the scaling condition in the sewage pipeline. The scaling information is analyzed to obtain the scaling map, which refers to the scaling analysis of the sewage pipeline inner wall. The scaling composition information is obtained by analyzing the scaling map, which refers to the specific composition of the scaling in the sewage pipeline, so as to clean the specific composition of the scaling, improve the cleaning efficiency, input the scaling composition information into the preset scaling cleaning query table, set the mapping relationship between the scaling composition information and the cleaning scheme in the scaling cleaning query table, query the cleaning type by using the scaling composition information, improve the cleaning effect, realize efficient scaling cleaning, generate corresponding scaling cleaning instruction according to the obtained cleaning type, respond to the scaling cleaning instruction, obtain the cleaning parameter, which refers to the specific parameter of the cleaning equipment, set the cleaning parameter on the corresponding cleaning equipment, clean the scaling of the sewage pipeline, and obtain the cleaning data in real time to analyze the cleaning effect. The whole process of scaling cleaning of sewage pipeline can monitor the scaling condition in the sewage pipeline in real time, analyze the scaling, efficiently clean the specific composition, realize real-time monitoring of the scaling condition of the sewage pipeline, and realize the function of timely cleaning of the scaling of the sewage pipeline.

[0046] 2. When analyzing whether there is scaling in the sewage pipeline, the pipe wall pressure data can be obtained by extracting the sewage pipeline inner wall data, which refers to the pressure on the inner wall of the sewage pipeline. When there is scaling in the sewage pipeline, the pipe wall pressure data is different from that without scaling. By comparing the pipe wall pressure data with the preset pressure threshold, the pressure comparison result is obtained, and whether there is scaling in the sewage pipeline is analyzed according to the pressure comparison result. If yes, the pipe scaling information is obtained according to the pipe wall pressure data, and the function of real-time monitoring of the scaling of the sewage pipeline is realized.

[0047] 3. The pipe thermal imaging data is extracted by analyzing the sewage pipeline inner wall data, which refers to the thermal imaging diagram of the surface of the sewage pipeline. The temperature abnormal data is obtained by analyzing the pipe thermal imaging data. In the sewage pipeline, the scaling area often has temperature anomaly due to the obstruction of heat conduction. The temperature abnormal data is input into the preset depth analysis model to further determine whether scaling occurs in the sewage pipeline. The pipe scaling information is obtained according to the analysis result, and the function of analyzing whether scaling occurs in the sewage pipeline by using thermal imaging method is realized.

[0048] 4. After confirming the presence of scale in the sewage pipe, the scale information is extracted and analyzed to obtain scale images. Specifically, the location of scale in the sewage pipe is determined based on the scale information, and images of the scale are acquired at the corresponding locations using image capture equipment. The scale image refers to the scale image on the inner wall of the sewage pipe. The scale image is input into the image processing model and converted into a scale spectrum. The scale spectrum can then be analyzed using a spectrum analysis model to obtain the component ratios of the scale. The component ratios are analyzed to determine the scale composition information, thus realizing the function of analyzing the scale composition in the sewage pipe, which is beneficial for targeted cleaning. Attached Figure Description

[0049] Figure 1 This is a flowchart of a method for monitoring and cleaning scale buildup in sewage pipes according to one embodiment of this application;

[0050] Figure 2 This is a flowchart illustrating the implementation of step S10 in a sewage pipe scaling monitoring and cleaning method according to an embodiment of this application.

[0051] Figure 3 This is another implementation flowchart of step S10 in a sewage pipe scaling monitoring and cleaning method according to one embodiment of this application;

[0052] Figure 4 This is a flowchart illustrating the implementation of step S20 in a sewage pipe scaling monitoring and cleaning method according to an embodiment of this application.

[0053] Figure 5 This is another implementation flowchart of a sewage pipe scaling monitoring and cleaning method according to one embodiment of this application;

[0054] Figure 6 This is another implementation flowchart of a sewage pipe scaling monitoring and cleaning method according to one embodiment of this application;

[0055] Figure 7 This is a schematic diagram of a sewage pipe scaling monitoring and cleaning system according to one embodiment of this application;

[0056] Figure 8 This is a schematic diagram of a computer device according to an embodiment of this application. Detailed Implementation

[0057] The present application will be further described in detail below with reference to the accompanying drawings.

[0058] In one embodiment, such as Figure 1 As shown, this application discloses a method for monitoring and cleaning scale buildup in sewage pipes, which specifically includes the following steps:

[0059] S10: Obtain data on the inner wall of the sewage pipe, and obtain information on pipe fouling based on the data on the inner wall of the sewage pipe.

[0060] In the embodiment, the sewage pipe inner wall data refers to the state of the sewage pipe, and the pipe fouling information refers to the fouling state of the sewage pipe.

[0061] Specifically, in the fouling cleaning process of the sewage pipe, the state information of the sewage pipe is obtained in real time through the sensor in the sewage pipe, and the fouling state of the sewage pipe, such as the specific fouling position and fouling state of the pipe, is obtained by using the obtained sewage pipe inner wall data.

[0062] S20: Obtain a fouling map based on the pipe fouling information, and obtain fouling component information according to the fouling map.

[0063] In the embodiment, the fouling map refers to a fouling map for analyzing the fouling of the inner wall of the sewage pipe, and the fouling component information refers to the specific components of the fouling in the sewage pipe.

[0064] Specifically, the pipe fouling information is analyzed to obtain the fouling map for analyzing the fouling of the inner wall of the sewage pipe, and the specific components of the fouling in the sewage pipe are obtained by analyzing the fouling map, so that targeted cleaning can be performed according to the specific components of the fouling, and the cleaning efficiency is improved.

[0065] S30: Input the fouling component information into a preset fouling cleaning query table to obtain a fouling cleaning type, and generate a fouling cleaning instruction based on the fouling cleaning type.

[0066] Specifically, the fouling component information is input into the preset fouling cleaning query table, the fouling cleaning query table is provided with a mapping relationship between the fouling component information and the cleaning scheme, the fouling type is queried by using the fouling component information, the cleaning effect is improved, and efficient fouling cleaning is realized.

[0067] S40: In response to the fouling cleaning instruction, obtain a cleaning parameter, perform fouling cleaning on the sewage pipe based on the cleaning parameter, and obtain cleaning data.

[0068] Specifically, the corresponding fouling cleaning instruction is generated according to the obtained cleaning type, the fouling cleaning instruction is responded to, the cleaning parameter is obtained, the cleaning parameter refers to the specific parameter of the cleaning equipment, the cleaning parameter is set on the corresponding cleaning equipment, the fouling cleaning is performed on the sewage pipe, and the cleaning data is obtained in real time to analyze the cleaning effect.

[0069] In the embodiment, in the process of scaling cleaning of the sewage pipeline, the sensor in the sewage pipeline is used to acquire the sewage pipeline inner wall data in real time, the sewage pipeline inner wall data refers to the state of the sewage pipeline, the sewage pipeline scaling information is acquired by using the sewage pipeline inner wall data, the scaling information refers to the scaling state of the sewage pipeline, the scaling information is analyzed to obtain the scaling spectrum, the scaling spectrum refers to the scaling spectrum of the sewage pipeline inner wall, the scaling spectrum is analyzed to obtain the scaling component information, the scaling component information refers to the specific component of the scaling in the sewage pipeline, so that the specific component of the scaling can be cleaned in a targeted manner, the cleaning efficiency is improved, the scaling component information is input into the preset scaling cleaning query table, the scaling component information and the cleaning scheme are set in the scaling cleaning query table, the scaling type is queried by using the scaling component information, the cleaning effect is improved, the scaling is cleaned efficiently, the corresponding scaling cleaning instruction is generated according to the obtained cleaning type, the scaling cleaning instruction is responded, the cleaning parameter is obtained, the cleaning parameter refers to the specific parameter of the cleaning equipment, the cleaning parameter is set on the corresponding cleaning equipment, the scaling of the sewage pipeline is cleaned, and the cleaning data is acquired in real time, so that the cleaning effect can be analyzed, the scaling of the entire sewage pipeline is cleaned, the scaling in the sewage pipeline can be monitored in real time, the scaling is analyzed, the specific component is cleaned efficiently, and the function of monitoring the scaling of the sewage pipeline in real time and cleaning the scaling of the sewage pipeline in time is realized.

[0070] In an embodiment, as shown in FIG. 10, in step S10, the sewage pipeline inner wall data is acquired, the scaling information of the pipeline is acquired based on the sewage pipeline inner wall data, and specifically includes: Figure 2

[0071] S11: The wall pressure data is acquired based on the sewage pipeline inner wall data, the wall pressure data is compared with the preset pressure threshold, and the pressure comparison result is obtained.

[0072] S12: Whether the sewage pipeline is scaled is judged according to the pressure comparison result, if yes, the scaling information of the pipeline is acquired based on the wall pressure data.

[0073] Specifically, when analyzing whether the sewage pipeline is scaled, the wall pressure data can be obtained by extracting the sewage pipeline inner wall data, the wall pressure data refers to the pressure on the inner wall of the sewage pipeline, when the sewage pipeline is scaled, the wall pressure data is different from that when the sewage pipeline is not scaled, the wall pressure data is compared with the preset pressure threshold, the pressure comparison result is obtained, whether the sewage pipeline is scaled is analyzed according to the pressure comparison result, if yes, the scaling information of the pipeline is acquired according to the wall pressure data, and the function of monitoring the scaling of the sewage pipeline in real time is realized.

[0074] ​In an embodiment, as shown in Figure 3 In step S10, the sewer pipe inner wall data is acquired, and the pipe fouling information is acquired based on the sewer pipe inner wall data. The step further includes:

[0075] S13: The pipe thermal imaging data is acquired based on the sewer pipe inner wall data, and the temperature anomaly data is acquired according to the pipe thermal imaging data.

[0076] S14: The temperature anomaly data is input into a preset deep analysis model to acquire the pipe fouling information.

[0077] Specifically, the pipe thermal imaging data is extracted by analyzing the sewer pipe inner wall data. The pipe thermal imaging data refers to a thermal imaging image of the sewer pipe surface. The temperature anomaly data is obtained by analyzing the pipe thermal imaging data. In the sewer pipe, the scaling area often has temperature anomalies due to the obstruction of heat conduction. The temperature anomaly data is input into a preset deep analysis model to further determine whether scaling occurs in the sewer pipe. The pipe fouling information is obtained according to the analysis result, and the scaling analysis function of the sewer pipe is realized by using the thermal imaging method.

[0078] In an embodiment, as shown in Figure 4 In step S20, the fouling spectrum is acquired based on the pipe fouling information, and the fouling component information is acquired according to the fouling spectrum. The step specifically includes:

[0079] S21: The fouling image is acquired according to the pipe fouling information, and the fouling image is input into a preset image processing model to obtain the fouling spectrum.

[0080] In this embodiment, the fouling image refers to a scaling image of the sewer pipe inner wall.

[0081] Specifically, after determining that scaling exists in the sewer pipe, the pipe fouling information is extracted and analyzed to obtain the fouling image. The scaling position in the sewer pipe is determined according to the pipe fouling information, and the fouling image is acquired at the corresponding position by using an image capture device.

[0082] S32: According to the road surface disease type and the road surface disease detailed data, the corresponding road surface disease image is acquired based on a pre-set highway construction disease knowledge base.

[0083] Specifically, the fouling image is input into an image processing model to convert the fouling image into a fouling spectrum. The fouling spectrum is analyzed by a spectrum analysis model to obtain the component ratio of the scaling. The fouling component information is determined by analyzing the component ratio, and the scaling component analysis function of the sewer pipe is realized, which is beneficial for targeted cleaning.

[0084] In an embodiment, as shown inFigure 5 As shown, before step S30, the sewer pipeline scaling monitoring and cleaning method further comprises:

[0085] S301: obtaining historical scaling data, and obtaining corresponding historical scaling component information and historical cleaning types based on the historical scaling data.

[0086] S302: constructing a scaling and cleaning query table based on a mapping relationship between the historical scaling component information and the historical cleaning types.

[0087] Specifically, by analyzing the historical scaling conditions that have occurred in the sewer pipeline, historical scaling data is obtained, the historical scaling data is analyzed to obtain historical scaling component information and corresponding historical cleaning types, and a scaling and cleaning query table is constructed using the mapping relationship between the historical scaling component information and the historical cleaning types, so as to quickly determine a scaling and cleaning scheme for scaling components in the sewer pipeline.

[0088] In an embodiment, as Figure 6 As shown, after step S40, that is, after obtaining cleaning parameters in response to the scaling and cleaning instruction, scaling and cleaning the sewer pipeline based on the cleaning parameters, and obtaining cleaning data, the sewer pipeline scaling monitoring and cleaning method further comprises:

[0089] S50: obtaining pipeline state information based on the cleaning data, and obtaining pipeline health data according to the pipeline state information.

[0090] S60: formulating a sewer pipeline preventive maintenance plan based on the pipeline health data.

[0091] Specifically, after scaling and cleaning the scaling in the sewer pipeline, cleaning data is obtained, which refers to the scaling and cleaning condition in the sewer pipeline. The cleaning data is analyzed to obtain pipeline state information, which refers to the in-pipeline condition of the sewer pipeline. The pipeline state information is used to determine the health data of the sewer pipeline. The pipeline health data is used to enable the staff to understand the current health state of the pipeline, and a sewer pipeline preventive maintenance plan is formulated according to the pipeline health data to perform preventive maintenance on the sewer pipeline.

[0092] It should be understood that the sequence numbers of the steps in the above embodiments do not mean the execution sequence, and the execution sequence of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0093] In an embodiment, a sewer pipeline scaling monitoring and cleaning system is provided, which corresponds to the sewer pipeline scaling monitoring and cleaning method in the above embodiments. As Figure 7As shown, the sewer pipeline fouling monitoring and cleaning system includes a pipeline fouling determination module, a fouling component analysis module, a cleaning instruction generation module, and a fouling cleaning module. The various functional modules are described in detail as follows:

[0094] The pipeline fouling determination module is configured to acquire sewer pipeline inner wall data and obtain pipeline fouling information based on the sewer pipeline inner wall data.

[0095] The fouling component analysis module is configured to obtain a fouling spectrum based on the pipeline fouling information and obtain fouling component information according to the fouling spectrum.

[0096] The cleaning instruction generation module is configured to input the fouling component information into a pre-set fouling cleaning query table, obtain a fouling cleaning type, and generate a fouling cleaning instruction based on the fouling cleaning type.

[0097] The fouling cleaning module is configured to obtain cleaning parameters in response to the fouling cleaning instruction, perform fouling cleaning on the sewer pipeline based on the cleaning parameters, and obtain cleaning data.

[0098] Optionally, the pipeline fouling determination module includes:

[0099] The pipeline pressure acquisition submodule is configured to obtain pipe wall pressure data based on the sewer pipeline inner wall data, compare the pipe wall pressure data with a pre-set pressure threshold, and obtain a pressure comparison result.

[0100] The pressure analysis submodule is configured to determine whether the sewer pipeline is fouled according to the pressure comparison result, and if so, obtain pipeline fouling information based on the pipe wall pressure data.

[0101] The specific limitations of the sewer pipeline fouling monitoring and cleaning system can be found in the limitations of the sewer pipeline fouling monitoring and cleaning method described above, which will not be repeated here. Each module in the above sewer pipeline fouling monitoring and cleaning system can be realized by software, hardware, and their combinations. The above modules can be embedded in or independent of the processor in the computer device in hardware form, or stored in the memory in the computer device in software form, so that the processor can call and execute the operations of the above modules.

[0102] In one embodiment, a computer device, which can be a server, is provided, and the internal fouling map of the computer device can be as shown in Figure 8The computer device includes a processor, a memory, a network interface and a database connected by a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The database of the computer device is used to store sewage pipeline fouling monitoring and analysis data. The network interface of the computer device is used to communicate with external terminals through network connection. The computer program is executed by the processor to implement a sewage pipeline fouling monitoring and cleaning method.

[0103] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor executing the computer program to implement the following steps:

[0104] Obtaining sewage pipeline inner wall data, obtaining pipeline fouling information based on the sewage pipeline inner wall data;

[0105] Obtaining a fouling spectrum based on the pipeline fouling information, and obtaining fouling component information according to the fouling spectrum;

[0106] Inputting the fouling component information into a preset fouling cleaning query table, obtaining a fouling cleaning type, and generating a fouling cleaning instruction based on the fouling cleaning type;

[0107] In response to the fouling cleaning instruction, obtaining cleaning parameters, performing fouling cleaning on the sewage pipeline based on the cleaning parameters, and obtaining cleaning data.

[0108] In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, the computer program being executed by a processor to implement the following steps:

[0109] Obtaining sewage pipeline inner wall data, obtaining pipeline fouling information based on the sewage pipeline inner wall data;

[0110] Obtaining a fouling spectrum based on the pipeline fouling information, and obtaining fouling component information according to the fouling spectrum;

[0111] Inputting the fouling component information into a preset fouling cleaning query table, obtaining a fouling cleaning type, and generating a fouling cleaning instruction based on the fouling cleaning type;

[0112] In response to the fouling cleaning instruction, obtaining cleaning parameters, performing fouling cleaning on the sewage pipeline based on the cleaning parameters, and obtaining cleaning data.

[0113] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when executed, can include the processes of the above-mentioned embodiment methods. Any reference to memory, storage, database or other medium used in the embodiments provided by the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration but not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0114] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above-mentioned division of functional units and modules is exemplified. In actual application, the above-mentioned functions can be completed by different functional units and modules according to needs, that is, the internal structure of the device is divided into different functional units or modules to complete all or part of the above-mentioned functions.

[0115] The above-mentioned embodiments are only used to illustrate the technical solutions of the present application, and not to limit them. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements to some technical features. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

Claims

1. A method of monitoring and cleaning of fouling in a sewer pipe, characterized in that, The sewage pipeline fouling monitoring and cleaning method comprises the steps of: S10, obtaining sewage pipeline inner wall data, and obtaining pipeline fouling information based on the sewage pipeline inner wall data; S20, obtaining a fouling spectrum based on the pipeline fouling information, and obtaining fouling component information according to the fouling spectrum; S30, inputting the fouling component information into a preset fouling cleaning query table to obtain a fouling cleaning type, and generating a fouling cleaning instruction based on the fouling cleaning type; S40, in response to the fouling cleaning instruction, obtaining cleaning parameters, and performing fouling cleaning on the sewage pipeline based on the cleaning parameters to obtain cleaning data; S40, in response to the fouling cleaning instruction, obtaining cleaning parameters, and performing fouling cleaning on the sewage pipeline based on the cleaning parameters to obtain cleaning data; S11, obtaining pipe wall pressure data based on the sewage pipeline inner wall data, comparing the pipe wall pressure data with a preset pressure threshold, and obtaining a pressure comparison result; S12, determining whether the sewage pipeline is fouled according to the pressure comparison result, and if so, obtaining pipeline fouling information based on the pipe wall pressure data; S13, obtaining pipeline thermal imaging data based on the sewage pipeline inner wall data, and obtaining temperature anomaly data according to the pipeline thermal imaging data; S14, inputting the temperature anomaly data into a preset depth analysis model to obtain pipeline fouling information; The step S20 specifically comprises: S21, obtaining a fouling image according to the pipeline fouling information, inputting the fouling image into a preset image processing model to obtain a fouling spectrum; S22, obtaining a component ratio value based on the fouling spectrum, and determining fouling component information according to the component ratio value; After step S40, the sewage pipeline fouling monitoring and cleaning method further comprises: S50, obtaining pipeline state information based on the cleaning data, and obtaining pipeline health data according to the pipeline state information; S60, formulating a sewage pipeline preventive maintenance plan based on the pipeline health data.

2. A method of sewer pipeline scale monitoring and cleaning according to claim 1, wherein, Before step S30, the sewage pipeline fouling monitoring and cleaning method further comprises: S301, obtaining historical fouling data, and obtaining corresponding historical fouling component information and historical cleaning type based on the historical fouling data; S302, constructing a fouling cleaning query table based on a mapping relationship between the historical fouling component information and the historical cleaning type.

3. A sewer pipeline fouling monitoring and cleaning system corresponding to a sewer pipeline fouling monitoring and cleaning method according to any one of claims 1-2, characterized in that, The sewage pipeline fouling monitoring and cleaning system comprises: A pipeline fouling determination module for obtaining sewage pipeline inner wall data and obtaining pipeline fouling information based on the sewage pipeline inner wall data; A fouling component analysis module for obtaining a fouling spectrum based on the pipeline fouling information, and obtaining fouling component information according to the fouling spectrum; A cleaning instruction generation module for inputting the fouling component information into a preset fouling cleaning query table to obtain a fouling cleaning type, and generating a fouling cleaning instruction based on the fouling cleaning type; A fouling cleaning module for obtaining cleaning parameters in response to the fouling cleaning instruction, and performing fouling cleaning on the sewage pipeline based on the cleaning parameters to obtain cleaning data; The pipeline fouling determination module comprises: A pipeline pressure acquisition sub-module for obtaining pipe wall pressure data based on the sewage pipeline inner wall data, comparing the pipe wall pressure data with a preset pressure threshold, and obtaining a pressure comparison result; A pressure analysis submodule is configured to determine whether the sewer pipeline is scaled according to the pressure comparison result, and if so, to acquire pipeline scale information based on the pipe wall pressure data.

4. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The computer program is executed by the processor to implement the steps of the sewer pipeline scale monitoring and cleaning method according to any one of claims 1 to 2.

5. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 4. The computer program is executed by the processor to implement the steps of the sewer pipeline scale monitoring and cleaning method according to any one of claims 1 to 2.

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