Sewage pipeline scaling monitoring and cleaning method, system, equipment and medium

Abstract

The invention relates to the technical field of sewage treatment, in particular to a sewage pipeline scaling monitoring and cleaning method, system and equipment and a medium, and the sewage pipeline scaling monitoring and cleaning method comprises the steps that sewage pipeline inner wall data is acquired, and pipeline dirt information is acquired based on the sewage pipeline inner wall data; acquiring a dirt map based on the pipeline dirt information, and acquiring dirt component information according to the dirt map; inputting the dirt component information into a preset scaling cleaning look-up table, obtaining a dirt cleaning type, and generating a dirt cleaning instruction based on the dirt cleaning type; and in response to the dirt cleaning instruction, obtaining cleaning parameters, performing scale cleaning on the sewage pipeline based on the cleaning parameters, and obtaining cleaning data. The device has the effects of monitoring the scaling condition of the sewage pipeline in real time and cleaning the scaling of the sewage pipeline in time.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and in particular to a method, system, equipment and medium for monitoring and cleaning scale in sewage pipes. Background Art

[0002] In the field of sewage treatment, scaling of pipes is a long-standing problem. Scaling will reduce the inner diameter of the pipe, hinder the water flow, and increase the workload and power consumption of the pump. Traditional pipeline monitoring mainly relies on manual inspection and chemical analysis, which is not only inefficient, but also has a high accuracy affected by human factors, making it difficult to meet the efficient operation requirements of modern sewage treatment systems.

[0003] In order to solve the problem of pipeline scaling, the existing technology often adopts the method of regular manual inspection supplemented by chemical cleaning. Although this method can reduce the impact of scaling to a certain extent, there are several significant problems: first, it is impossible to accurately determine when to perform descaling, which often leads to descaling too early or too late; second, it relies on manual labor, which is not only inefficient but also costly. Other existing technologies have carried out preliminary automated monitoring of pipeline status, such as using simple sensors to detect the status inside the pipeline, but these methods are usually unable to accurately determine the degree of scaling, resulting in descaling operations that are not timely enough or too frequent.

[0004] Existing technologies have obvious deficiencies in monitoring the scaling of sewage pipes. The monitoring methods are not accurate enough, and it is difficult to determine the best time to remove the scale. At the same time, the existing technologies have slow response speeds and cannot quickly adapt to the real-time conditions of the pipes. In addition, the over-reliance on manual operation is not only costly, but also inefficient, and cannot meet the needs of modern sewage treatment systems for efficiency and automation. These defects have jointly caused a waste of resources and an increase in operating costs, and improvements are urgently needed. Summary of the invention

[0005] In order to monitor the scaling of sewage pipes in real time and clean the scaling of sewage pipes in time, the present application provides a method, system, equipment and medium for monitoring and cleaning the scaling of sewage pipes.

[0006] The above-mentioned invention objective of the present application is achieved through the following technical solutions: A method for monitoring and cleaning scale in a sewage pipe, comprising the steps of: Acquire the inner wall data of the sewage pipe, and acquire the pipe dirt information based on the inner wall data of the sewage pipe; Acquire a dirt map based on the pipeline dirt information, and acquire dirt component information according to the dirt map; Inputting the dirt component information into a preset scaling cleaning query table, obtaining a dirt cleaning type, and generating a dirt cleaning instruction based on the dirt cleaning type; In response to the dirt cleaning instruction, cleaning parameters are obtained, and the scale is cleaned on the sewage pipe based on the cleaning parameters to obtain cleaning data.

[0007] By adopting the above technical solution, during the scale cleaning process of the sewage pipe, the inner wall data of the sewage pipe is obtained in real time through the sensor in the sewage pipe. The inner wall data of the sewage pipe refers to the state of the sewage pipe. The pipe scale information is obtained by using the obtained inner wall data of the sewage pipe. The pipe scale information refers to the scaling condition in the sewage pipe. The pipe scale information is analyzed to obtain a scale map. The scale map refers to the scale map for analyzing the scaling on the inner wall of the sewage pipe. The scale map is analyzed to obtain scale component information. The scale component information refers to the specific components of the scaling in the sewage pipe, so as to facilitate targeted cleaning of the specific components of the scaling, which is beneficial to improving the cleaning efficiency. The scale component information is input into a preset scaling cleaning query table. The scaling cleaning query table is provided with a mapping relationship between the scale composition information and the cleaning scheme. Using the scale composition information to query the cleaning type can improve the cleaning effect and realize efficient cleaning of scaling. The corresponding scaling cleaning instruction is generated according to the cleaning type obtained. In response to the scaling cleaning instruction, the cleaning parameters are obtained. The cleaning parameters refer to the specific parameters of the cleaning equipment. The cleaning parameters are set on the corresponding cleaning equipment, and the sewage pipe is scaled and cleaned. The cleaning data is obtained in real time to analyze the cleaning effect. The entire sewage pipe scaling cleaning process can monitor the scaling in the sewage pipe in real time, analyze the scaling, and perform efficient cleaning on the specific components, realizing the function of real-time monitoring of the scaling of the sewage pipe and timely cleaning of the scaling of the sewage pipe.

[0008] In a preferred example, the present application may be further configured as follows: the obtaining of sewage pipe inner wall data, and obtaining pipe dirt information based on the sewage pipe inner wall data, specifically includes: Acquire pipe wall pressure data based on the sewage pipe inner wall data, and compare the pipe wall pressure data with a preset pressure threshold to obtain a pressure comparison result; Whether the sewage pipe is scaled is determined according to the pressure comparison result, and if so, the pipe scale information is obtained based on the pipe wall pressure data.

[0009] By adopting the above technical solution, when analyzing whether there is scale in the sewage pipe, the pipe wall pressure data can be obtained by extracting the inner wall data of the sewage pipe. The pipe wall pressure data refers to the pressure on the inner wall of the sewage pipe. When there is scale in the sewage pipe, the pipe wall pressure data is different from the pipe wall pressure data when there is no scale. By comparing the pipe wall pressure data with a preset pressure threshold, a pressure comparison result is obtained. Based on the pressure comparison result, it is analyzed whether there is scale in the sewage pipe. If so, the pipe scale information is obtained based on the pipe wall pressure data, thereby realizing the function of real-time monitoring of scale in the sewage pipe.

[0010] In a preferred example, the present application may be further configured as follows: the step of obtaining the sewage pipe inner wall data and obtaining the pipe dirt information based on the sewage pipe inner wall data further includes: Acquire pipeline thermal imaging data based on the sewage pipeline inner wall data, and acquire temperature anomaly data according to the pipeline thermal imaging data; The temperature anomaly data is input into a preset depth analysis model to obtain pipeline fouling information.

[0011] By adopting the above technical solution, the inner wall data of the sewage pipe is analyzed to extract the pipe thermal imaging data. The pipe thermal imaging data refers to the thermal imaging map of the surface of the sewage pipe. The pipe thermal imaging data is analyzed to obtain temperature anomaly data. Inside the sewage 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 has occurred in the sewage pipe. The pipe fouling information is obtained based on the analysis results, and the function of analyzing whether scaling has occurred in the sewage pipe using thermal imaging methods is realized.

[0012] In a preferred example, the present application may be further configured as follows: the step of obtaining a dirt map based on the pipeline dirt information and obtaining dirt component information according to the dirt map specifically includes: Acquire a dirt image according to the pipeline dirt information, and input the dirt image into a preset image processing model to obtain a dirt map; A component ratio is obtained based on the dirt map, and dirt component information is determined according to the component ratio.

[0013] By adopting the above technical solution, after determining that there is scale in the sewage pipe, the pipe scale information is extracted and analyzed to obtain a scale image. Specifically, the scale position in the sewage pipe is determined according to the pipe scale information, and the scale image is obtained at the corresponding position using an image capture device. The scale image refers to the scale image of the inner wall of the sewage pipe. The scale image is input into the image processing model, and the scale image is converted into a dirt map. The dirt map can then be used through the map analysis model to obtain the component ratio of the scale. The component ratio is analyzed to determine the scale component information, thereby realizing the scale component analysis function in the sewage pipe, which is conducive to targeted cleaning.

[0014] In a preferred example, the present application may be further configured as follows: before inputting the dirt component information into a preset scale cleaning query table to obtain a dirt cleaning type and generating a dirt cleaning instruction based on the dirt cleaning type, the sewage pipe scale monitoring and cleaning method may further include: Acquire historical dirt data, and acquire corresponding historical dirt composition information and historical cleaning types based on the historical dirt data; A scaling cleaning query table is constructed based on the mapping relationship between the historical fouling component information and the historical cleaning types.

[0015] By adopting the above technical scheme, historical scaling conditions that have occurred in sewage pipes are analyzed to obtain historical scaling data, and the historical scaling data is analyzed to obtain historical scaling composition information and corresponding historical cleaning types. A scaling cleaning query table is constructed by utilizing the mapping relationship between the historical scaling composition information and the historical cleaning types, so as to quickly determine the scaling cleaning plan for the scaling components in the sewage pipe.

[0016] In a preferred example, the present application may be further configured as follows: after responding to the dirt cleaning instruction, obtaining cleaning parameters, performing scale cleaning on the sewage pipe based on the cleaning parameters, and obtaining cleaning data, the sewage pipe scale monitoring and cleaning method further includes: Acquire pipeline status information based on the cleaning data, and acquire pipeline health data according to the pipeline status information; A sewage pipeline preventive maintenance plan is developed based on the pipeline health data.

[0017] By adopting the above technical solution, after cleaning the scale in the sewage pipe, the cleaning data is obtained, and the cleaning data refers to the cleaning status of the scale in the sewage pipe. The cleaning data is analyzed to obtain the pipeline status information, and the pipeline status information refers to the situation inside the sewage pipe. The pipeline status information is used to determine the health data of the sewage pipe. The pipeline health data is used to facilitate the staff to understand the current health status of the pipeline, and a sewage pipe preventive maintenance plan is formulated based on the pipeline health data to perform preventive maintenance on the sewage pipe.

[0018] The second object of the invention is achieved by the following technical solutions: A sewage pipe scaling monitoring and cleaning system, the sewage pipe scaling monitoring and cleaning system comprising: A pipeline scaling determination module, used to obtain sewage pipeline inner wall data, and obtain pipeline scaling information based on the sewage pipeline inner wall data; A scaling component analysis module, used to obtain a scaling map based on the pipeline scaling information, and to obtain scaling component information according to the scaling map; A cleaning instruction generating module, used for inputting the dirt component information into a preset scaling cleaning query table, obtaining a dirt cleaning type, and generating a dirt cleaning instruction based on the dirt cleaning type; The scaling cleaning module is used to respond to the scaling cleaning instruction, obtain cleaning parameters, perform scaling cleaning on the sewage pipe based on the cleaning parameters, and obtain cleaning data.

[0019] By adopting the above technical solution, during the scale cleaning process of the sewage pipe, the inner wall data of the sewage pipe is obtained in real time through the sensor in the sewage pipe. The inner wall data of the sewage pipe refers to the state of the sewage pipe. The pipe scale information is obtained by using the obtained inner wall data of the sewage pipe. The pipe scale information refers to the scaling condition in the sewage pipe. The pipe scale information is analyzed to obtain a scale map. The scale map refers to the scale map for analyzing the scaling on the inner wall of the sewage pipe. The scale map is analyzed to obtain scale component information. The scale component information refers to the specific components of the scaling in the sewage pipe, so as to facilitate targeted cleaning of the specific components of the scaling, which is beneficial to improving the cleaning efficiency. The scale component information is input into a preset scaling cleaning query table. The scaling cleaning query table is provided with a mapping relationship between the scale composition information and the cleaning scheme. Using the scale composition information to query the cleaning type can improve the cleaning effect and realize efficient cleaning of scaling. The corresponding scaling cleaning instruction is generated according to the cleaning type obtained. In response to the scaling cleaning instruction, the cleaning parameters are obtained. The cleaning parameters refer to the specific parameters of the cleaning equipment. The cleaning parameters are set on the corresponding cleaning equipment, and the sewage pipe is scaled and cleaned. The cleaning data is obtained in real time to analyze the cleaning effect. The entire sewage pipe scaling cleaning process can monitor the scaling in the sewage pipe in real time, analyze the scaling, and perform efficient cleaning on the specific components, realizing the function of real-time monitoring of the scaling of the sewage pipe and timely cleaning of the scaling of the sewage pipe.

[0020] The third objective of the present application is achieved through the following technical solutions: A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned sewage pipe scaling monitoring and cleaning method are implemented.

[0021] The fourth objective of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned sewage pipe scaling monitoring and cleaning method.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: 1. In the process of cleaning the scale of the sewage pipe, the inner wall data of the sewage pipe is obtained in real time through the sensor in the sewage pipe. The inner wall data of the sewage pipe refers to the state of the sewage pipe. The pipe scale information is obtained by using the inner wall data of the sewage pipe. The pipe scale information refers to the scaling condition in the sewage pipe. The pipe scale information is analyzed to obtain a scale map. The scale map refers to the scale map for analyzing the scaling on the inner wall of the sewage pipe. The scale map is analyzed to obtain scale component information. The scale component information refers to the specific components of the scaling in the sewage pipe, so as to carry out targeted cleaning for the specific components of the scaling, which is beneficial to improve the cleaning efficiency. The scale component information is input into the preset scaling cleaning query table. The mapping relationship between dirt component information and cleaning scheme is set in the cleaning query table. Using the dirt component information to query the cleaning type can improve the cleaning effect and realize efficient cleaning of scale. The corresponding dirt cleaning instruction is generated according to the cleaning type obtained. In response to the dirt cleaning instruction, the cleaning parameters are obtained. The cleaning parameters refer to the specific parameters of the cleaning equipment. The cleaning parameters are set on the corresponding cleaning equipment, and the sewage pipe is scaled and cleaned. The cleaning data is obtained in real time to analyze the cleaning effect. The entire sewage pipe scaling cleaning process can monitor the scaling in the sewage pipe in real time, analyze the scaling, and perform efficient cleaning for specific components, realizing the function of real-time monitoring of the scaling of the sewage pipe and timely cleaning of the scaling of the sewage pipe; 2. When analyzing whether there is scaling in the sewage pipe, the pipe wall pressure data can be obtained by extracting the inner wall data of the sewage pipe. The pipe wall pressure data refers to the pressure on the inner wall of the sewage pipe. When scaling exists in the sewage pipe, 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, a pressure comparison result is obtained. According to the pressure comparison result, it is analyzed whether there is scaling in the sewage pipe. If so, the pipe scale information is obtained according to the pipe wall pressure data, thereby realizing the function of real-time monitoring of scaling in the sewage pipe; 3. By analyzing the inner wall data of the sewage pipe, the pipeline thermal imaging data is extracted. The pipeline thermal imaging data refers to the thermal imaging map of the sewage pipe surface. The pipeline thermal imaging data is analyzed to obtain temperature anomaly data. In the sewage pipe, the scaling area often has temperature anomalies due to the obstruction of heat conduction. The temperature anomaly data is input into the preset deep analysis model to further determine whether scaling occurs in the sewage pipe. According to the analysis results, the pipeline fouling information is obtained, and the scaling analysis function of the sewage pipe is realized by using the thermal imaging method; 4. After determining the existence of scale in the sewage pipe, extract and analyze the pipe scale information to obtain a scale image. Specifically, determine the scale location in the sewage pipe according to the pipe scale information, and use an image capture device to obtain a scale image at the corresponding position. The scale image refers to the scale image of the inner wall of the sewage pipe. The scale image is input into the image processing model, and the scale image is converted into a scale map. The scale map can then be used through the map analysis model to obtain the component ratio of the scale. The component ratio is analyzed to determine the scale component information, thereby realizing the scale component analysis function in the sewage pipe, which is conducive to targeted cleaning. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 This is a flow chart of a method for monitoring and cleaning scale in a sewage pipe in one embodiment of the present application; Figure 2 This is a flowchart for implementing step S10 in a method for monitoring and cleaning scale in a sewage pipe in one embodiment of the present application; Figure 3 This is another implementation flow chart of step S10 in a method for monitoring and cleaning scale in a sewage pipe in an embodiment of the present application; Figure 4 This is a flowchart for implementing step S20 in a method for monitoring and cleaning scale in a sewage pipe in one embodiment of the present application; Figure 5 This is another implementation flow chart of a method for monitoring and cleaning scale in a sewage pipe in one embodiment of the present application; Figure 6 This is another implementation flow chart of a method for monitoring and cleaning scale in a sewage pipe in one embodiment of the present application; Figure 7 This is a principle block diagram of a sewage pipe scaling monitoring and cleaning system in one embodiment of the present application; Figure 8 It is a schematic diagram of a computer device in one embodiment of the present application. DETAILED DESCRIPTION

[0024] The present application is further described in detail below in conjunction with the accompanying drawings.

[0025] In one embodiment, if Figure 1As shown, the present application discloses a method for monitoring and cleaning scale in a sewage pipe, which specifically includes the following steps: S10: Obtaining sewage pipe inner wall data, and obtaining pipe dirt information based on the sewage pipe inner wall data.

[0026] In this embodiment, the sewage pipe inner wall data refers to the state of the sewage pipe, and the pipe fouling information refers to the fouling condition of the sewage pipe.

[0027] Specifically, during the scale cleaning process of the sewage pipe, the status information in the sewage pipe is obtained in real time through the sensor in the sewage pipe, and the scaling condition in the sewage pipe is obtained using the obtained sewage pipe inner wall data, such as the specific pipe scaling location, scaling condition and other information.

[0028] S20: Obtain a dirt map based on the pipeline dirt information, and obtain dirt component information according to the dirt map.

[0029] In this embodiment, the dirt map refers to a dirt map for analyzing the scaling on the inner wall of the sewage pipe, and the dirt component information refers to the specific components of the scaling in the sewage pipe.

[0030] Specifically, the pipe dirt information is analyzed to obtain a dirt map for analyzing the scaling on the inner wall of the sewage pipe. The dirt map is analyzed to obtain the specific components of the scaling in the sewage pipe, so as to carry out targeted cleaning on the specific components of the scaling, which is beneficial to improving the cleaning efficiency.

[0031] S30: Inputting the dirt component information into a preset scaling cleaning query table, obtaining a dirt cleaning type, and generating a dirt cleaning instruction based on the dirt cleaning type.

[0032] Specifically, the fouling composition information is input into a preset fouling cleaning query table, in which a mapping relationship between fouling composition information and cleaning solutions is provided. Using the fouling composition information to query the cleaning type can improve the cleaning effect and achieve efficient fouling cleaning.

[0033] S40: Responding to the dirt cleaning instruction, obtaining cleaning parameters, performing scale cleaning on the sewage pipe based on the cleaning parameters, and obtaining cleaning data.

[0034] Specifically, a corresponding dirt cleaning instruction is generated according to the obtained cleaning type, and cleaning parameters are obtained in response to the dirt cleaning instruction. The cleaning parameters refer to the specific parameters for setting the cleaning equipment. The cleaning parameters are set on the corresponding cleaning equipment, and the sewage pipe is scale cleaned. The cleaning data is obtained in real time to facilitate the analysis of the cleaning effect.

[0035] In this embodiment, during the scale cleaning process of the sewage pipe, the inner wall data of the sewage pipe is obtained in real time through the sensor in the sewage pipe. The inner wall data of the sewage pipe refers to the state of the sewage pipe. The pipe scale information is obtained by using the obtained inner wall data of the sewage pipe. The pipe scale information refers to the scaling condition in the sewage pipe. The pipe scale information is analyzed to obtain a scale map. The scale map refers to a scale map for analyzing the scaling on the inner wall of the sewage pipe. The scale map is analyzed to obtain scale component information. The scale component information refers to the specific components of the scaling in the sewage pipe, so as to facilitate targeted cleaning of the specific components of the scaling, which is beneficial to improving the cleaning efficiency. The scale component information is input into a preset scaling cleaning query table. The scale cleaning query table is provided with a mapping relationship between the scale composition information and the cleaning scheme. The cleaning type query using the scale composition information can improve the cleaning effect and realize efficient cleaning of scale. The corresponding scale cleaning instruction is generated according to the cleaning type obtained, and the cleaning parameters are obtained in response to the scale cleaning instruction. The cleaning parameters refer to the specific parameters of the cleaning equipment. The cleaning parameters are set on the corresponding cleaning equipment, and the sewage pipe is scaled and cleaned. The cleaning data is obtained in real time to analyze the cleaning effect. The entire sewage pipe scale cleaning process can monitor the scaling situation in the sewage pipe in real time, analyze the scaling, and perform efficient cleaning on the specific components, realizing the function of real-time monitoring of the scaling situation of the sewage pipe and timely cleaning of the scaling of the sewage pipe.

[0036] In one embodiment, if Figure 2 As shown, in step S10, the inner wall data of the sewage pipe is obtained, and the pipe dirt information is obtained based on the inner wall data of the sewage pipe, which specifically includes: S11: acquiring pipe wall pressure data based on the sewage pipe inner wall data, and comparing the pipe wall pressure data with a preset pressure threshold to obtain a pressure comparison result.

[0037] S12: judging whether the sewage pipe is scaled according to the pressure comparison result, and if so, obtaining pipe scale information based on pipe wall pressure data.

[0038] Specifically, when analyzing whether there is scale in the sewage pipe, the pipe wall pressure data can be obtained by extracting the inner wall data of the sewage pipe. The pipe wall pressure data refers to the pressure on the inner wall of the sewage pipe. When there is scale in the sewage pipe, the pipe wall pressure data is different from the pipe wall pressure data when there is no scale. By comparing the pipe wall pressure data with a preset pressure threshold, a pressure comparison result is obtained. Based on the pressure comparison result, it is analyzed whether there is scale in the sewage pipe. If so, the pipe scale information is obtained based on the pipe wall pressure data, thereby realizing the function of real-time monitoring of scale in the sewage pipe.

[0039] In one embodiment, if Figure 3As shown, in step S10, the inner wall data of the sewage pipe is obtained, and the pipe dirt information is obtained based on the inner wall data of the sewage pipe, and further includes: S13: Acquire pipeline thermal imaging data based on the sewage pipeline inner wall data, and acquire temperature anomaly number according to the pipeline thermal imaging data.

[0040] S14: Inputting the temperature anomaly data into a preset depth analysis model to obtain pipeline fouling information.

[0041] Specifically, by analyzing the inner wall data of the sewage pipe, the pipe thermal imaging data is extracted. The pipe thermal imaging data refers to the thermal imaging map of the surface of the sewage pipe. The pipe thermal imaging data is analyzed to obtain temperature anomaly data. Inside the sewage pipe, the scaling area often has temperature anomalies due to the obstruction of heat conduction. The temperature anomaly data is input into the preset deep analysis model to further determine whether scaling has occurred in the sewage pipe. The pipe fouling information is obtained based on the analysis results, and the function of analyzing whether scaling has occurred in the sewage pipe using thermal imaging methods is realized.

[0042] In one embodiment, if Figure 4 As shown, in step S20, a dirt map is obtained based on the pipeline dirt information, and dirt component information is obtained according to the dirt map, which specifically includes: S21: Obtain a dirt image according to the pipeline dirt information, and input the dirt image into a preset image processing model to obtain a dirt map.

[0043] In this embodiment, the dirt image refers to the scaling image of the inner wall of the sewage pipe.

[0044] Specifically, after determining that there is scale in the sewage pipe, the pipe scale information is extracted and analyzed to obtain a scale image, the scale position in the sewage pipe is determined based on the pipe scale information, and the scale image is acquired at the corresponding position using an image capture device.

[0045] S32: According to the pavement damage type and pavement damage detailed data, a corresponding pavement damage image is obtained based on a preset highway construction damage knowledge base.

[0046] Specifically, the dirt image is input into the image processing model, the dirt image is converted into a dirt map, and then the dirt map is analyzed by the map analysis model to obtain the component ratios of the scale. The component ratios are analyzed to determine the dirt component information, thereby realizing the scale component analysis function in the sewage pipe, which is conducive to targeted cleaning.

[0047] In one embodiment, if Figure 5 As shown, before step S30, the sewage pipe scaling monitoring and cleaning method further includes: S301: Acquire historical dirt data, and acquire corresponding historical dirt component information and historical cleaning types based on the historical dirt data.

[0048] S302: constructing a scaling cleaning query table based on the mapping relationship between the historical fouling component information and the historical cleaning types.

[0049] Specifically, by analyzing the historical scaling conditions that have occurred in the sewage pipe, historical scaling data is obtained, and the historical scaling data is analyzed to obtain historical scaling composition information and corresponding historical cleaning types. The mapping relationship between the historical scaling composition information and the historical cleaning types is used to construct a scaling cleaning query table to quickly determine the scaling cleaning plan for the scaling components in the sewage pipe.

[0050] In one embodiment, if Figure 6 As shown, after step S40, that is, in response to the dirt cleaning instruction, the cleaning parameters are obtained, and the scale cleaning of the sewage pipe is performed based on the cleaning parameters. After the cleaning data is obtained, the water pipe scale monitoring and cleaning method further includes: S50: Obtain pipeline status information based on the cleaning data, and obtain pipeline health data according to the pipeline status information.

[0051] S60: Formulate a sewage pipeline preventive maintenance plan based on the pipeline health data.

[0052] Specifically, after cleaning the scale in the sewage pipe, the cleaning data is obtained, and the cleaning data refers to the cleaning status of the scale in the sewage pipe. The cleaning data is analyzed to obtain the pipeline status information, and the pipeline status information refers to the situation inside the sewage pipe. The pipeline status information is used to determine the health data of the sewage pipe. The pipeline health data is used to facilitate the staff to understand the current health status of the pipeline, and a sewage pipe preventive maintenance plan is formulated based on the pipeline health data to perform preventive maintenance on the sewage pipe.

[0053] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0054] In one embodiment, a sewage pipe scaling monitoring and cleaning system is provided, and the sewage pipe scaling monitoring and cleaning system corresponds to the sewage pipe scaling monitoring and cleaning method in the above embodiment. Figure 7 As shown, the sewage pipe scaling monitoring and cleaning system includes a pipe scaling determination module, a scaling component analysis module, a cleaning instruction generation module and a scaling cleaning module. The detailed description of each functional module is as follows: A pipeline scaling determination module, used to obtain sewage pipeline inner wall data, and obtain pipeline scaling information based on the sewage pipeline inner wall data; A scaling component analysis module, used to obtain a scaling map based on the pipeline scaling information, and to obtain scaling component information according to the scaling map; A cleaning instruction generating module, used for inputting the dirt component information into a preset scaling cleaning query table, obtaining a dirt cleaning type, and generating a dirt cleaning instruction based on the dirt cleaning type; The scaling cleaning module is used to respond to the scaling cleaning instruction, obtain cleaning parameters, perform scaling cleaning on the sewage pipe based on the cleaning parameters, and obtain cleaning data.

[0055] Optionally, the pipeline scaling determination module includes: A pipeline pressure acquisition submodule, used to acquire pipe wall pressure data based on the sewage pipe inner wall data, and compare the pipe wall pressure data with a preset pressure threshold to obtain a pressure comparison result; The pressure analysis submodule is used to determine whether the sewage pipe is scaled according to the pressure comparison result, and if so, obtain the pipe scale information based on the pipe wall pressure data.

[0056] For the specific definition of the sewage pipe scaling monitoring and cleaning system, please refer to the definition of the sewage pipe scaling monitoring and cleaning method above, which will not be repeated here. Each module in the above-mentioned sewage pipe scaling monitoring and cleaning system can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0057] In one embodiment, a computer device is provided, which may be a server, and its internal scaling map may be as follows: Figure 8 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, 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 operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store sewage pipe scaling monitoring and analysis data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a sewage pipe scaling monitoring and cleaning method is implemented.

[0058] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: Acquire the inner wall data of the sewage pipe, and acquire the pipe dirt information based on the inner wall data of the sewage pipe; Acquire a dirt map based on the pipeline dirt information, and acquire dirt component information according to the dirt map; Inputting the dirt component information into a preset scaling cleaning query table, obtaining a dirt cleaning type, and generating a dirt cleaning instruction based on the dirt cleaning type; In response to the dirt cleaning instruction, cleaning parameters are obtained, and the scale is cleaned on the sewage pipe based on the cleaning parameters to obtain cleaning data.

[0059] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Acquire the inner wall data of the sewage pipe, and acquire the pipe dirt information based on the inner wall data of the sewage pipe; Acquire a dirt map based on the pipeline dirt information, and acquire dirt component information according to the dirt map; Inputting the dirt component information into a preset scaling cleaning query table, obtaining a dirt cleaning type, and generating a dirt cleaning instruction based on the dirt cleaning type; In response to the dirt cleaning instruction, cleaning parameters are obtained, and the scale is cleaned on the sewage pipe based on the cleaning parameters to obtain cleaning data.

[0060] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0061] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal scaling of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0062] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for monitoring and cleaning scale in a sewage pipe, characterized in that: The sewage pipe scaling monitoring and cleaning method comprises the steps of: Acquire the inner wall data of the sewage pipe, and acquire the pipe dirt information based on the inner wall data of the sewage pipe; Acquire a dirt map based on the pipeline dirt information, and acquire dirt component information according to the dirt map; Inputting the dirt component information into a preset scaling cleaning query table, obtaining a dirt cleaning type, and generating a dirt cleaning instruction based on the dirt cleaning type; In response to the dirt cleaning instruction, cleaning parameters are obtained, and the scale is cleaned on the sewage pipe based on the cleaning parameters to obtain cleaning data.

2. A method for monitoring and cleaning scale in a sewage pipe according to claim 1, characterized in that: The step of obtaining the sewage pipe inner wall data and obtaining the pipe dirt information based on the sewage pipe inner wall data specifically includes: Acquire pipe wall pressure data based on the sewage pipe inner wall data, and compare the pipe wall pressure data with a preset pressure threshold to obtain a pressure comparison result; Whether the sewage pipe is scaled is determined according to the pressure comparison result, and if so, the pipe scale information is obtained based on the pipe wall pressure data.

3. A method for monitoring and cleaning scale in a sewage pipe according to claim 1, characterized in that: The step of obtaining the sewage pipe inner wall data and obtaining the pipe dirt information based on the sewage pipe inner wall data further includes: Acquire pipeline thermal imaging data based on the sewage pipeline inner wall data, and acquire temperature anomaly data according to the pipeline thermal imaging data; The temperature anomaly data is input into a preset depth analysis model to obtain pipeline fouling information.

4. A sewage pipe scaling monitoring and cleaning method according to claim 1, characterized in that: The step of obtaining a dirt map based on the pipeline dirt information and obtaining dirt component information according to the dirt map specifically includes: Acquire a dirt image according to the pipeline dirt information, and input the dirt image into a preset image processing model to obtain a dirt map; A component ratio is obtained based on the dirt map, and dirt component information is determined according to the component ratio.

5. A method for monitoring and cleaning scale in a sewage pipe according to claim 1, characterized in that: Before inputting the dirt component information into a preset scale cleaning query table to obtain a dirt cleaning type and generating a dirt cleaning instruction based on the dirt cleaning type, the sewage pipe scale monitoring and cleaning method further includes: Acquire historical dirt data, and acquire corresponding historical dirt composition information and historical cleaning types based on the historical dirt data; A scaling cleaning query table is constructed based on the mapping relationship between the historical fouling component information and the historical cleaning types.

6. A method for monitoring and cleaning scale in a sewage pipe according to claim 1, characterized in that: After responding to the dirt cleaning instruction, obtaining cleaning parameters, performing scale cleaning on the sewage pipe based on the cleaning parameters, and obtaining cleaning data, the sewage pipe scale monitoring and cleaning method further includes: Acquire pipeline status information based on the cleaning data, and acquire pipeline health data according to the pipeline status information; A sewage pipeline preventive maintenance plan is developed based on the pipeline health data.

7. A sewage pipe scaling monitoring and cleaning system, characterized in that: The sewage pipe scaling monitoring and cleaning system comprises: A pipeline scaling determination module, used to obtain sewage pipeline inner wall data, and obtain pipeline scaling information based on the sewage pipeline inner wall data; A scaling component analysis module, used to obtain a scaling map based on the pipeline scaling information, and to obtain scaling component information according to the scaling map; A cleaning instruction generating module, used for inputting the dirt component information into a preset scaling cleaning query table, obtaining a dirt cleaning type, and generating a dirt cleaning instruction based on the dirt cleaning type; The scaling cleaning module is used to respond to the scaling cleaning instruction, obtain cleaning parameters, perform scaling cleaning on the sewage pipe based on the cleaning parameters, and obtain cleaning data.

8. A sewage pipe scaling monitoring and cleaning system according to claim 1, characterized in that: The pipeline scaling determination module comprises: A pipeline pressure acquisition submodule, used to acquire pipe wall pressure data based on the sewage pipe inner wall data, and compare the pipe wall pressure data with a preset pressure threshold to obtain a pressure comparison result; The pressure analysis submodule is used to determine whether the sewage pipe is scaled according to the pressure comparison result, and if so, obtain the pipe scale information based on the pipe wall pressure data.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of a sewage pipe scaling monitoring and cleaning method as described in any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of a sewage pipe scaling monitoring and cleaning method as described in any one of claims 1 to 6 are implemented.

Images