Intelligent online inspection system for water supply equipment

Abstract

The present invention discloses an intelligent online inspection system for water supply equipment, which relates to the field of intelligent water supply equipment inspection technology, including a mapping module for detailed mapping of water supply equipment and pipelines, using three-dimensional modeling technology to build a digital model of the water supply system, obtain a digital three-dimensional model, and analyze and find out the key nodes of the water supply equipment based on the digital three-dimensional model. The intelligent online inspection system for water supply equipment performs detailed mapping and evaluation of water supply equipment and pipelines in old residential areas, analyzes the key nodes of water supply equipment according to the model, and then designs customized small, lightweight and easy-to-install sensor components. At the same time, wireless transmission technology is used to connect the sensor and the inspection system host to reduce the impact of wiring on the residential environment, effectively determine the sensor installation location, and ensure the normal water use of residents and the integrity of the residential building structure, and also enable the intelligent online inspection system to run smoothly in old residential areas.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent water supply equipment inspection, and in particular to an intelligent online inspection system for water supply equipment. Background Art

[0002] In modern society, the stable operation of the water supply system is crucial to residents' lives and social production. However, there are many problems with the traditional inspection method of water supply equipment, and an intelligent online inspection system is urgently needed to improve the management level and ensure water supply safety. On the one hand, the shortcomings of the traditional inspection method are reflected in manpower dependence and low efficiency: traditional inspections mainly rely on regular manual inspections, which require a lot of manpower and have limited inspection efficiency. Manual inspections are difficult to monitor the operating status of water supply equipment and pipelines in real time and are prone to missed inspections. For example, in a large water supply network, numerous pipelines and equipment are widely distributed, and manual inspections are time-consuming and laborious, and potential problems cannot be discovered in time; on the other hand, in the application of water supply equipment renovation in old communities, due to the limited space in the community and the complex layout of the original water supply pipelines, the sensor installation position of the intelligent online inspection system is difficult to determine. How to reasonably determine the sensor installation position without affecting the normal water use of community residents and without destroying too many original building structures to ensure that the inspection system can effectively monitor the key parameters of water supply equipment is a problem that needs to be solved urgently. Summary of the invention

[0003] In order to solve the above technical problems, the present invention is implemented through the following technical solutions: an intelligent online inspection system for water supply equipment, comprising:

[0004] The surveying and mapping module is used to conduct detailed surveying and mapping of water supply equipment and pipelines, build a digital model of the water supply system using 3D modeling technology, obtain a digital 3D model, and analyze and find out the key nodes of the water supply equipment based on the digital 3D model;

[0005] The layout module is connected to the surveying and mapping module. Based on the digital three-dimensional model constructed by the surveying and mapping module, various types of sensors are arranged at the key node positions of the water supply equipment. The sensors include pressure sensors, flow sensors, vibration sensors and temperature sensors. The sensors are fixed to the outer wall of the pipe by pipe clamps or adhesion. Non-destructive installation or minimally invasive installation is selected to reduce damage to the water supply pipe and ensure the adaptability of the system in old communities. Non-destructive installation and minimally invasive installation correspond to non-invasive installation and minimally invasive installation respectively.

[0006] The transmission module is connected to the layout module and is used to collect and transmit the monitoring data of the key nodes of the water supply equipment. The wireless transmission technology is used to connect the sensor and the inspection system host to reduce the impact of wiring on the community environment. The transmission methods include ZigBee, LoRa or NB-IoT network protocols;

[0007] The processing module is connected to the transmission module, and analyzes the operating status of the water supply equipment based on the monitoring data. It evaluates the health status of the equipment through data comparison and modeling analysis, including fault diagnosis of abnormal flow, excessive or low pressure, and abnormal temperature, and generates early warning information or operation reports;

[0008] The main control module is connected to the processing module and is used to process the early warning information or operation report generated by the processing module, send a warning signal to the mobile terminal of the maintenance personnel based on the preset fault handling rules, and provide corresponding maintenance suggestions or control instructions, including adjusting the operating parameters of the water supply equipment to maintain the stable operation of the water supply system.

[0009] Preferably, the digital three-dimensional model of the water supply system is constructed based on a geographic information system (GIS). The GIS model is used to display the spatial layout and operating status of the water supply equipment. By linking with the data of the inspection system, the fault location and inspection results are marked on the GIS map in real time, providing intuitive maintenance navigation for maintenance personnel. The process of constructing the digital three-dimensional model of the water supply system is as follows:

[0010] Use a 3D laser scanner to fully scan the water supply pipeline to obtain accurate geometric data;

[0011] Import the scanned geometric data into ArcGIS Pro, a geographic information system (GIS) software platform, to build a digital 3D model of the water supply network;

[0012] Refine and adjust the model: Identify and correct noise and errors in the 3D scanning data to improve the accuracy of the model; model the pipe connection points in detail based on the size and angle data of the pipe connection parts collected in the geometric data; use the Gaussian cube algorithm to optimize the curvature and diameter changes of the pipe to better reflect the actual situation on site;

[0013] Verify the consistency between the model and the actual object on site, ensure the accuracy of the model by comparing the measured data with the model data, and obtain a confirmed digital 3D model;

[0014] Based on the constructed model, the key nodes of the water supply equipment are analyzed and found out. The key nodes include the water pump inlet and outlet and the main pipeline connection, which are used to provide a data basis for the subsequent sensor layout.

[0015] Preferably, when verifying the consistency between the model and the actual object, the data difference calculation formula is used: Δ=|M i -S i |;

[0016] Among them, M i is the model data, S iis the field measurement data, Δ is the difference between the measurement and model data, and the accuracy of the model is judged by evaluating the difference of all key nodes; the judgment standard is: when the difference Δ of all key nodes is less than 5%, it is considered that the accuracy of the model meets the requirements; if the difference Δ of all key nodes is greater than 5%, the model needs to be recalibrated and adjusted until a confirmed digital 3D model is obtained;

[0017] The measurement data is collected on-site using a high-precision laser rangefinder or ultrasonic measuring instrument, including the length, diameter, angle and spatial position of the pipeline; the model data is obtained through the digital simulation results in the 3D modeling software Revit, including the exported geometric dimensions and spatial coordinates;

[0018] The model was also structurally optimized according to the site conditions, and the process included:

[0019] Identify and delete small accessories and unimportant connections in the model that have little impact on key parameters to reduce the amount of calculation;

[0020] Merge similar structural elements and elements with similar characteristics to simplify the overall complexity of the model;

[0021] For complex surfaces and curved pipes, appropriate approximate processing methods are used to replace high-order curves with simplified geometric shapes to improve calculation efficiency; parts that have an important influence on structural stability and key flow parameters are retained to ensure that the model still has sufficient accuracy for subsequent analysis after optimization.

[0022] Preferably, the key nodes of the water supply equipment are analyzed based on the constructed model, and the analysis process includes:

[0023] Identify the major components in a water supply, including pumps, valves, and main pipes.

[0024] The flow, pressure and temperature of each key node are simulated and analyzed through a digital three-dimensional model to determine the changing trend of key parameters.

[0025] Finite element analysis method is used to conduct stress and deformation analysis on water supply pipelines to identify weak links.

[0026] Combine historical data to evaluate the operating status of key nodes, determine whether there is a risk of potential failure or performance degradation, and obtain analysis results.

[0027] According to the analysis results, the water pump inlet and outlet and the main pipeline connection are determined as the sensor layout points to ensure the effectiveness of subsequent monitoring and provide a data basis for subsequent sensor layout;

[0028] Among them, the main components: water pumps, valves, and main pipelines are important parts of the water supply system; key nodes refer to those points of the main components that are crucial to the stability and efficiency of the system during the operation of the water supply system; key nodes are key locations for monitoring and measurement, including the inlet and outlet of the water pump and the connection points of the main pipeline. Key nodes are determined based on the analysis of the main components to ensure effective monitoring and control of the key parameters of the system.

[0029] Preferably, the arrangement module comprises:

[0030] Customized sensor assembly units are designed for different parts of water supply equipment. The sensor assembly includes a clamp-on vibration sensor for pipe vibration measurement, a pressure sensor for pressure detection, an ultrasonic flow sensor for flow measurement, and a surface-adhesive temperature sensor for temperature monitoring. The sensor assembly adapts to the complex pipe structure in the water supply system to ensure the reliability and stability of sensor installation.

[0031] During the installation process, the sensor is fixed to the outer wall of the pipe by a pipe clamp, and the spiral fastening structure is used for precise adjustment to ensure that the sensor is in close contact with the pipe surface. The installation adjustment unit can also adjust the installation angle of the sensor to ensure the accuracy of the monitoring data.

[0032] Preferably, the transmission module includes:

[0033] A data acquisition unit, used to collect monitoring data of the sensor, wherein the monitoring data includes pressure, flow, vibration, and temperature;

[0034] The wireless communication unit is connected to the data acquisition unit and uses low-power wide area network technology to transmit the collected monitoring data to the inspection system host through wireless signals. The communication unit selects ZigBee, LoRa or NB-IoT network protocols according to different transmission environments to ensure the stability and real-time performance of data transmission.

[0035] The signal enhancement unit is used to enhance the signal strength in the case of wireless signal attenuation or signal interruption, ensuring the data transmission quality in complex environments.

[0036] Preferably, the process of the signal enhancement unit enhancing the signal strength is as follows:

[0037] The strength value of the current wireless signal is obtained through the receiving end signal strength indicator RSSI; at the same time, the signal quality index is analyzed to determine whether the wireless signal transmission is obstructed, and the signal obstruction situation is obtained. According to the signal obstruction situation, the transmission antenna is first adjusted; then when the signal is detected to be obstructed and the antenna adjustment effect is not obvious, the signal enhancement unit starts the power amplification function to improve the signal transmission distance and penetration ability. Subsequently, when the signal transmission distance is too far or the obstacles are seriously blocked, making it difficult to achieve effective signal strength due to direct transmission, the signal enhancement unit enables the relay or signal forwarding mechanism to enhance the signal. If the signal obstruction is caused by an interference signal, the signal enhancement unit starts the interference suppression function to filter out the interference signal.

[0038] Preferably, the processing module comprises:

[0039] The data receiving unit is used to receive the monitoring data transmitted by the transmission module and pre-process the monitoring data, including data cleaning, outlier removal and data format conversion;

[0040] A data analysis unit is connected to the data receiving unit, and performs real-time analysis on the monitoring data based on the digital three-dimensional model of the water supply system, identifies potential problems of the water supply equipment by comparing with historical data, evaluates the equipment operation status by using a machine learning algorithm, provides predictive maintenance suggestions, and generates analysis results, which include analysis data and an evaluation report, and the evaluation report includes early warning information and an operation report;

[0041] The data storage unit is used to store analysis data and generated evaluation reports. The data storage unit is connected to the remote maintenance terminal through a cloud server, so that maintenance personnel can check the operating status of the water supply equipment at any time.

[0042] Preferably, the main control module includes:

[0043] A fault diagnosis unit is used to receive the analysis results of the processing module. When an abnormal situation occurs in the water supply equipment, the fault diagnosis unit generates a fault alarm according to a preset fault diagnosis rule;

[0044] A remote control unit is connected to the fault diagnosis unit and sends control instructions to the water supply equipment through wireless communication based on the fault alarm, including starting a standby water pump and adjusting the valve opening to ensure the normal operation of the water supply system;

[0045] The notification unit is used to send fault information to the mobile terminal of the maintenance personnel through the mobile communication network and provide maintenance suggestions.

[0046] Preferably, the inspection system host is provided with a human-computer interaction unit, which includes a touch screen and a voice interaction unit. Maintenance personnel view the operating status and warning information of the water supply equipment through the touch screen, and query the real-time data or historical data of the equipment through the voice interaction unit.

[0047] The present invention provides an intelligent online inspection system for water supply equipment, which has the following beneficial effects:

[0048] The intelligent online inspection system for water supply equipment conducts detailed mapping and evaluation of water supply equipment and pipelines in old residential areas, and uses 3D modeling technology to build a digital model of the water supply system. It analyzes the key nodes of the water supply equipment based on the model, and then designs customized small, lightweight and easy-to-install sensor components, using non-invasive or minimally invasive installation methods. At the same time, wireless transmission technology is used to connect the sensor and the inspection system host to reduce the impact of wiring on the community environment. This can effectively determine the sensor installation location, ensure normal water use for residents and the integrity of the community building structure, and enable the intelligent online inspection system to run smoothly in old residential areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 It is a structural block diagram of the intelligent online inspection system of the water supply equipment of the present invention. DETAILED DESCRIPTION

[0050] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The embodiments of the present invention are provided for the purpose of illustration and description, and are not intended to be exhaustive or to limit the present invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention, and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

[0051] like Figure 1 As shown, the present invention provides a technical solution: an intelligent online inspection system for water supply equipment, including a mapping module, for mapping water supply equipment and pipelines in detail, using three-dimensional modeling technology to build a digital model of the water supply system to obtain a digital three-dimensional model, and analyzing and finding the key nodes of the water supply equipment based on the digital three-dimensional model;

[0052] The layout module is connected to the surveying and mapping module. Based on the digital three-dimensional model constructed by the surveying and mapping module, various types of sensors are arranged at the key node positions of the water supply equipment. The sensors include pressure sensors, flow sensors, vibration sensors and temperature sensors. The sensors are fixed to the outer wall of the pipe through pipe clamps. Non-destructive installation is selected to reduce damage to the water supply pipe and ensure the adaptability of the system in old communities. Non-destructive installation and minimally invasive installation correspond to non-invasive installation and minimally invasive installation respectively.

[0053] The transmission module is connected to the layout module and is used to collect and transmit the monitoring data of the key nodes of the water supply equipment. It uses wireless transmission technology to connect the sensor and the inspection system host to reduce the impact of wiring on the community environment. The transmission method is the NB-IoT network protocol;

[0054] The processing module is connected to the transmission module, and analyzes the operating status of the water supply equipment based on the monitoring data. It evaluates the health status of the equipment through data comparison and modeling analysis, including fault diagnosis of abnormal flow, excessive pressure, too low pressure, and abnormal temperature, and generates early warning information;

[0055] The main control module is connected to the processing module and is used to process the early warning information generated by the processing module, send a warning signal to the mobile terminal of the maintenance personnel based on the preset fault handling rules, and provide corresponding control instructions, including adjusting the operating parameters of the water supply equipment to maintain the stable operation of the water supply system.

[0056] The digital 3D model of the water supply system is built based on the Geographic Information System (GIS). The GIS model is used to display the spatial layout and operating status of the water supply equipment. By linking with the data of the inspection system, the fault location and inspection results are marked on the GIS map in real time, providing intuitive maintenance navigation for maintenance personnel. The process of building a digital 3D model of the water supply system is as follows:

[0057] Data collection and integration: laser scanning and on-site measurement data acquisition: use high-precision 3D laser scanner: Leica ScanStationP50, to perform a full-scale scan of the water supply pipes and equipment; during the scanning process, set the appropriate scanning resolution according to the complexity of the water supply system to ensure that the geometric shape information of the pipes and equipment can be accurately obtained. The geometric shape information includes the curvature of the pipe, the change in pipe diameter, and the detailed shape of the equipment; at the same time, use a high-precision laser rangefinder: Bosch DLE70, or an ultrasonic measuring instrument: Xima AR842 on-site to measure the length, diameter, angle and spatial position of the key positions of the pipe. The measurement of the location; during the measurement, the measurement is carried out at multiple representative sections and key nodes of the pipeline: turning points, branch points, and equipment connections. Each location is measured three times and the average value is taken to improve the accuracy of the measurement data; for geographic information data, the topographic data of the area where the water supply system is located is obtained from professional geographic information databases or relevant surveying and mapping departments: digital elevation model DEM, building distribution data: presented in vector format, including the outline and height of the building, as well as road and water system data; these data will serve as the basic geographic background for constructing a digital 3D model of the water supply system, and provide a reference for accurately displaying the position relationship of water supply equipment in space;

[0058] Data preprocessing and registration: import the point cloud data obtained by 3D laser scanning into the data processing software Cyclone for preprocessing; first, perform denoising on the original point cloud data, and remove noise points caused by environmental factors by setting a noise threshold to improve data quality; then, perform splicing and registration of point cloud data, using multiple target points arranged on site. The distribution of target points should evenly cover the scanning area and have obvious features for easy identification; accurately splice the point cloud data obtained by different scanning stations together through the same-name point matching algorithm, so that the point cloud data of the entire water supply system is in a unified coordinate system to ensure the integrity and accuracy of the data; organize and classify the on-site measurement data, and associate and annotate them with the corresponding laser scanning point cloud data positions, so that these measurement data can be accurately applied to calibrate and optimize the model in the subsequent model building process; at the same time, perform format conversion and coordinate conversion on geographic information data, including converting the coordinates in the geographic coordinate system into the same local coordinate system as the laser scanning data, so that it can be seamlessly integrated with the point cloud data of the water supply system;

[0059] Importing into GIS platform and preliminary modeling: Data import and environment construction: Import the pre-processed and registered laser scanning point cloud data and the converted geographic information data into ArcGIS Pro, a geographic information system (GIS) software platform; Preliminary 3D modeling based on point cloud data: Use the 3D modeling tools of the GIS platform to create 3D models of water supply pipes and equipment based on the imported point cloud data; For pipe models, identify the center line of the pipe in the point cloud data and generate a 3D solid model of the pipe by stretching it along the center line according to the pipe diameter information; For equipment models, including water pumps and valves, use the triangulated network-based surface modeling method in the surface reconstruction technology based on the point cloud data of the equipment's outline to convert the point cloud data into a 3D surface model of the equipment, and then further solidify it to obtain a 3D solid model of the equipment;

[0060] Model refinement and attribute assignment: Model accuracy optimization and detail processing: In the GIS platform, professional 3D editing tools are used to optimize the accuracy and process the details of the initially constructed model; for the pipeline model, the modeling of the pipeline connection parts is further refined, and the geometric shape of the connection points is accurately adjusted according to the connection part size data and angle data measured on site to ensure that the sealing and fluid mechanics characteristics of the connection parts are in line with the actual situation; the Gaussian cube algorithm is used to optimize the curvature and diameter change parts of the pipeline, and the control points and curve fitting parameters of the model are adjusted to make the pipeline model smoother and more natural, reducing the geometric shape distortion caused by data errors or modeling process; at the same time, the Laplace smoothing algorithm is used to smooth the model as a whole, eliminate the local rough parts caused by data collection or modeling operations, and improve the visual effect and analysis accuracy of the model;

[0061] Assigning and associating attribute information: Assigning attribute information to pipeline elements and equipment elements in the model; for pipelines, attribute information includes material, pipe diameter, wall thickness, flow characteristics, and anti-corrosion coating type; for equipment, attribute information includes equipment model, production date, manufacturer, performance parameters, and maintenance records; by establishing an attribute table in the GIS platform, associating these attribute information with the corresponding model elements, achieving integrated management of models and attribute information;

[0062] Data association and linkage settings with the inspection system: Data interface establishment and communication protocol selection: Establish a stable and reliable data interface between the GIS platform and the inspection system to ensure that the two can interact with each other in real time; Use ZigBee, LoRa or NB-IoT network protocols according to the data transmission method of the inspection system, and develop corresponding communication interface modules in the GIS platform to achieve seamless connection with the inspection system; for example, when the inspection system uses the ZigBee protocol to transmit data, deploy a ZigBee coordinator node in the GIS platform to receive data from the inspection system sensor nodes and convert it into a format that the GIS platform can recognize and process;

[0063] In order to ensure the stability and real-time performance of data transmission, the cyclic redundancy check (CRC) and data cache strategy in the data verification mechanism are used in the data interface settings; the data verification mechanism is used to detect whether data errors occur during transmission, and if errors are found, retransmission is requested in a timely manner; the data cache strategy is used to cope with network fluctuations or data transmission peaks to ensure that data will not be lost due to transmission delays, and the cached data can be transmitted to the GIS platform for processing in a timely manner after the network returns to normal;

[0064] Data association and linkage rule setting: Establish data association rules in the GIS platform to accurately associate the monitoring data collected by the inspection system: pressure, flow, vibration, temperature; with the corresponding equipment and pipeline locations in the GIS model; through the unique identifiers of the equipment and pipelines, the unique identifier is the ID number assigned to each element during the modeling process, and bind the monitoring data to the corresponding location on the model in real time; at the same time, set linkage rules, when the monitoring data is abnormal: pressure exceeds the normal range, flow rate changes suddenly, vibration is too large, temperature rises abnormally, the GIS model can automatically trigger the corresponding response action; for example, when the pressure sensor at the pipeline location detects that the pressure value is lower than the set lower limit threshold, the GIS model immediately marks the pipeline location with a striking red flashing icon, and pops up a detailed warning information window, showing the pressure value, monitoring time, historical pressure data trend and possible fault causes at the location, and the fault cause is analyzed and judged according to the preset fault diagnosis rule library;

[0065] Real-time display of operating status and inspection results:

[0066] Visual display of operation status data: In the GIS model, the operation status of the water supply equipment is displayed using dynamic visualization technology based on the monitoring data transmitted in real time by the inspection system. The flow conditions in the pipeline are indicated by flow lines of different colors on the pipeline model: blue indicates normal flow, red indicates excessive flow, and yellow indicates insufficient flow. The thickness of the lines and the flow speed are proportional to the actual flow, which intuitively reflects the flow status of the fluid in the pipeline. For the operation status of the water pump, the real-time operation parameters, including head and speed, are displayed on the water pump model, and the working status of the water pump is indicated by different icon states, including green icons for normal operation, yellow icons for standby status, and red icons for fault status. For the status of the valve, the opening degree of the valve is displayed with dynamic switch animation, including fully open, half open, and closed states, and the actual opening value is displayed next to the valve model; a multi-view viewing function is set in the GIS model, including top view, side view, and axonometric view, and zoom and pan operation tools are provided, so that maintenance personnel can observe the operating status details of the water supply system from different angles and distances, which is convenient for maintenance personnel to fully understand the operating status of the water supply system; at the same time, a data query toolbar is set on the model interface, and maintenance personnel can quickly query its current operating parameters, attribute information, and historical monitoring data trend chart by clicking on the pipeline or equipment model, providing strong support for operating status analysis and fault diagnosis;

[0067] Inspection result marking and management: After completing the inspection task of the water supply system, the inspectors will enter the inspection results through the inspection system and upload them to the GIS platform; the inspection results include whether the equipment is operating normally, whether potential problems are found, and the on-site environmental conditions; in the GIS model, the corresponding equipment and pipeline locations are marked according to the inspection results; for equipment and pipelines that are operating normally, they are indicated by a green check mark icon; for locations where potential problems are found, they are indicated by a yellow exclamation mark icon, and the problem description, discovery time, and inspector are recorded in detail in the pop-up information box; for equipment or pipelines with faults, they are marked with a red cross icon, and detailed fault diagnosis information is displayed, which includes the fault type, fault severity, and recommended maintenance measures; an inspection result database is established to store and manage the results of each inspection for subsequent query and statistical analysis; in the GIS model, the inspection results in different time periods can be viewed through the time filtering function to track the changing trend of the operating status of the water supply system, providing data basis for formulating maintenance plans and optimizing the operation of the water supply system;

[0068] Provide maintenance navigation function: optimal path planning algorithm selection and parameter setting: integrate the A algorithm in the path planning algorithm into the GIS platform to calculate the optimal navigation path for maintenance personnel from the current location to the fault location; set parameters for the path planning algorithm according to the geographic information data and actual traffic rules of the area where the water supply system is located; for example, set different weight values ​​for roads, consider the road level: main road, secondary road, branch road, traffic flow, road conditions: whether it is congested, whether it is under construction, so that the path planning results are more in line with the actual situation, ensuring that maintenance personnel can quickly and safely reach the fault site;

[0069] Navigation guidance information generation and real-time update: Based on the calculated optimal path, detailed navigation guidance information is generated for maintenance personnel, including text prompts, voice prompts and map visualization guidance; during the navigation process, the location information of the maintenance personnel is obtained in real time, and the navigation guidance information is adjusted and updated in time according to the deviation between the actual location and the navigation path, ensuring that the maintenance personnel always go to the fault location along the optimal path; at the same time, when encountering emergencies such as temporary road closures and traffic accidents, which make the original navigation path infeasible, the GIS platform can automatically re-plan the path and push the new navigation information to the maintenance personnel's mobile terminal in time to ensure the smooth progress of maintenance work; map visualization guidance represents the navigation path with a highlighted route in the GIS model, and zooms in on the local map at key turning points and intersections to assist maintenance personnel in accurately determining the driving direction; location information is obtained through the GPS positioning function of the mobile terminal or the indoor positioning system connected to the GIS platform;

[0070] Through the above detailed technical solution steps that comply with relevant laws and regulations, the digital three-dimensional model of the water supply system constructed based on the geographic information system GIS can give full play to its advantages in the management and maintenance of the water supply system, realize the accurate display of the spatial layout and operating status of the water supply equipment, and closely link with the inspection system to provide maintenance personnel with efficient and accurate services, thereby improving the overall reliability and operating efficiency of the water supply system.

[0071] When verifying the consistency between the model and the actual object, the data difference calculation formula is used: Δ=|M i -S i |;

[0072] Among them, M i is the model data, S i is the field measurement data, Δ is the difference between the measurement and model data, and the accuracy of the model is judged by evaluating the difference of all key nodes; the judgment standard is: when the difference Δ of all key nodes is less than 5%, it is considered that the accuracy of the model meets the requirements; if the difference Δ of all key nodes is greater than 5%, the model needs to be recalibrated and adjusted until a confirmed digital 3D model is obtained;

[0073] The measurement data is collected on-site using high-precision laser rangefinders and ultrasonic measuring instruments, including pipeline length, diameter, angle and spatial position; the model data is obtained through digital simulation results in the 3D modeling software Revit, including exported geometric dimensions and spatial coordinates;

[0074] The model was also structurally optimized according to the site conditions, and the process included:

[0075] Identify and delete small accessories and unimportant connections in the model that have little impact on key parameters to reduce the amount of calculation;

[0076] Merge similar structural elements and elements with similar characteristics to simplify the overall complexity of the model;

[0077] For complex surfaces and curved pipes, appropriate approximate processing methods are used to replace high-order curves with simplified geometric shapes to improve calculation efficiency; parts that have an important influence on structural stability and key flow parameters are retained to ensure that the model still has sufficient accuracy for subsequent analysis after optimization.

[0078] Based on the constructed model, the key nodes of the water supply equipment are analyzed. The analysis process includes:

[0079] Identify the major components in a water supply, including pumps, valves, and main pipes.

[0080] The flow, pressure and temperature of each key node are simulated and analyzed through a digital three-dimensional model to determine the changing trend of key parameters.

[0081] Finite element analysis method is used to conduct stress and deformation analysis on water supply pipelines to identify weak links.

[0082] Combine historical data to evaluate the operating status of key nodes, determine whether there are potential faults, and obtain analysis results.

[0083] According to the analysis results, the water pump inlet and outlet and the main pipeline connection are determined as the sensor layout points to ensure the effectiveness of subsequent monitoring and provide a data basis for subsequent sensor layout;

[0084] Among them, the main components: water pumps, valves, and main pipelines are important parts of the water supply system; key nodes refer to those points of the main components that are crucial to the stability and efficiency of the system during the operation of the water supply system; key nodes are key locations for monitoring and measurement, including the inlet and outlet of the water pump and the connection points of the main pipeline. Key nodes are determined based on the analysis of the main components to ensure effective monitoring and control of the key parameters of the system.

[0085] The process of finding the key nodes of water supply equipment is as follows:

[0086] Component identification and classification: First, through a comprehensive analysis of the digital model of the water supply system, the main components are identified, including water pumps, valves, and main pipes. During the analysis, the geometric shape, material properties, and connection relationships with the components in the model are used to accurately distinguish different types of components. The process is as follows: Based on the unique impeller structure and casing shape characteristics of the water pump, it is screened out from many components through the shape recognition algorithm in the three-dimensional model to obtain the screening results; for valves, they are identified and classified according to their different valve seats, valve core structures, and open and closed states in the model to obtain classification results; for main pipes, they are judged based on their continuous tubular structure and larger pipe diameter. , get the judgment results, based on the screening results, classification results and judgment results, get the main components in the digital model of the water supply system; classify the identified main components to determine their functions and importance levels in the water supply system: divide water pumps into different types, including centrifugal pumps, plunger pumps, diaphragm pumps, gear pumps, reciprocating pumps, vacuum pumps, and jet pumps, and determine their core role in the water supply system based on their flow and head performance parameters; valves are divided into stop valves, regulating valves, and check valves according to their control functions, and their key roles in water flow control and system protection are clarified; main pipelines are divided into main pipelines and branch pipelines according to their pipe diameters and connection areas, and their dominant position in water supply and transportation is determined;

[0087] Flow, pressure, and temperature simulation analysis: Based on the constructed digital three-dimensional model, the fluid dynamics simulation software ANSYSFluent is used to simulate and analyze the flow, pressure, and temperature of each key node of the water supply system to obtain the simulation results; during the simulation process, boundary conditions are set according to the actual operating conditions of the water supply system, including the water supply pressure and flow of the water source, and the changes in water demand at the user end; by solving the fluid dynamics equations, the flow, pressure, and temperature distribution of each node under different operating conditions are obtained; the simulation results are analyzed to determine the changing trends of key parameters; the pressure changes at the inlet and outlet of the water pump are observed, and as the water pump is started and operated, the pressure at the inlet and outlet of the water pump is measured. The inlet pressure should decrease gradually, while the outlet pressure should increase significantly. By analyzing the pressure change curve over time, the key node moments of pressure change can be determined, including the startup moment, stable operation stage, and shutdown process. For the main pipeline connection, pay attention to the flow distribution at the connection, as well as the pressure loss and flow change trend caused by the change in pipeline diameter and elbow angle, and find out the flow change sensitive area as the key node. At the same time, monitor the temperature distribution in the pipeline system, especially after the water pump has been running for a long time, observe the temperature increase of its inlet and outlet and nearby pipelines, determine the potential key nodes of abnormal temperature change, and provide a basis for the subsequent sensor layout.

[0088] Stress and deformation analysis: The finite element analysis method is used to conduct stress and deformation analysis on the water supply pipeline. The digital three-dimensional model of the water supply system is imported into the finite element analysis software ABAQUS. According to the material properties, actual size, internal water pressure and external soil pressure of the pipeline, a finite element analysis model is constructed. The model is meshed, and encrypted meshes are used in key areas: pipeline connections, elbows, and near valves to improve the analysis accuracy. Among them, the material properties include elastic modulus and Poisson's ratio. Finite element analysis calculations are run to obtain the stress and deformation distribution of the pipeline system under different working conditions and obtain the distribution results. The distribution results are analyzed to identify possible weak links, that is, parts with excessive deformation. Including at the main pipeline connection, due to the connection and welding process of pipelines with different diameters, stress concentration may occur, and fatigue damage is prone to occur during long-term operation, so it should be monitored as a key node. For pipelines crossing terrain change areas, due to the uneven external load, their deformation is more complicated, and they are also considered as key node locations of concern. Among them, crossing terrain change areas includes crossing bridges and crossing underground cavities.

[0089] Historical data analysis and potential fault assessment: Collect historical data of the water supply system, including previous flow, pressure, temperature monitoring data, equipment maintenance records, and fault occurrences; correlate and compare historical data with key node locations and simulation analysis results in the current digital 3D model to obtain statistical analysis results; including checking locations where abnormal pressure fluctuations and pipeline leaks have occurred in the past, and finding corresponding pipeline nodes and equipment connection locations in the digital 3D model;

[0090] Combined with the statistical analysis results of historical data, a comprehensive assessment of the operating status of key nodes is conducted; association rule mining in the data mining algorithm is used to mine potential failure modes and performance degradation trends from historical data to obtain potential failure assessment results; including analyzing historical data to find that the pipeline in area A frequently experiences pressure fluctuations during specific peak water usage periods, combining the current model to analyze the structural characteristics and operating conditions of the pipeline in area A, and determining whether there is a potential sealing failure problem at the connection of the pipeline in area A, thereby determining it as a key node, and incorporating these potential failure risk factors into the evaluation system for key nodes;

[0091] Determination of key nodes and data collation: Based on the above flow, pressure, temperature simulation analysis, stress and deformation analysis, historical data analysis and potential fault assessment, the key nodes of the water supply equipment are comprehensively determined; key nodes include water pump inlet and outlet, main pipeline connection, stress concentration area and locations where faults and performance abnormalities have occurred in the past; among them, the main pipeline connection includes the connection points of pipes of different diameters and the connection points of branch pipes and main pipes; stress concentration areas include pipe elbows and valves; the determined key node information is collated, including the spatial position coordinates of the nodes, the component type, key parameter characteristics and potential fault risk types; the collated key node data serves as an important basis for the subsequent sensor layout to ensure that the sensors can accurately monitor the operating status of key nodes, timely discover potential fault hazards, and provide strong guarantees for the safe and stable operation of the water supply system; among them, the spatial position coordinates of the nodes are the precise positions of the nodes in the digital three-dimensional model, and the component type is the water pump inlet and outlet nodes and the connection nodes of a certain specification of main pipelines; key parameter characteristics include the pressure range, flow range, temperature range during normal operation, and possible abnormal change trends; potential fault risk types include sealing failure risk, stress damage risk, and flow abnormality risk.

[0092] The layout module includes:

[0093] Customized sensor assembly units are designed for different parts of water supply equipment. The sensor assembly includes a clamp-on vibration sensor for pipe vibration measurement, a pressure sensor for pressure detection, an ultrasonic flow sensor for flow measurement, and a surface-adhesive temperature sensor for temperature monitoring. The sensor assembly adapts to the complex pipe structure in the water supply system to ensure the reliability and stability of sensor installation.

[0094] Install the adjustment unit. During the installation process, the sensor is fixed to the outer wall of the pipe by a pipe clamp, and the spiral fastening structure is used for precise adjustment to ensure that the sensor is in close contact with the pipe surface. The installation adjustment unit can also adjust the installation angle of the sensor to ensure the accuracy of the monitoring data.

[0095] Among them, the customized sensor component unit design process:

[0096] Demand analysis and location determination: Cooperate with water supply system engineers and equipment maintenance personnel to collect key parameter information about water pumps, valves, and pipelines in normal operation and possible failure conditions, complete the survey of water supply equipment, clarify the working environment, physical characteristics, and monitoring requirements of different parts, and obtain the survey results; according to the survey results, clarify the type, quantity, and installation location of sensors required for each part; divide the water supply equipment into multiple key areas, including water pump area, valve area, main pipeline trunk area, and branch pipeline area, and formulate a detailed sensor layout plan for each area to ensure that the operating status information of each part can be fully and accurately obtained; among them, the water pump area represents the inlet and outlet, and the pump body; the valve area represents various valves and their connecting pipeline parts, and the main pipeline trunk area represents main pipelines of different diameters and directions;

[0097] Sensor selection and custom design: Select the appropriate sensor type according to the monitoring requirements of different parts; for pressure monitoring, use diffused silicon pressure sensor with a measurement accuracy of up to ±0.1%FS. It has good linearity and stability and can adapt to the measurement requirements of different pressure ranges in the water supply system; flow monitoring uses a time-difference ultrasonic flow sensor with a measurement accuracy of up to ±1%. It uses the propagation characteristics of ultrasonic waves in the fluid to measure the flow rate without contacting the fluid, reducing interference with the water flow and making installation easy; for vibration monitoring, use a piezoelectric vibration sensor with a wide frequency response range, which can accurately measure the vibration frequency and amplitude of the equipment. By clamping it on the equipment casing, it can effectively detect the vibration of the water pump and motor; for temperature monitoring, use a surface-adhesive temperature sensor: a platinum resistance temperature sensor with high temperature measurement accuracy of up to ±0.3℃, which can be easily attached to the pipe surface and the equipment casing to monitor temperature changes in real time;

[0098] Customized sensors are designed to meet the special structures and installation environments of various parts of water supply equipment. For example, three different sizes of installation fixtures, large, medium and small, are designed for pressure sensors and temperature sensors to adapt to pipes of different diameters, ensuring that they can be tightly fixed on the outer wall of the pipe and ensuring good contact between the sensor and the pipe surface to improve measurement accuracy. For external clamp-on vibration sensors, their clamping structure is optimized so that they can be firmly installed on equipment housings of various shapes and materials, and will not loosen or even fall off due to vibration during equipment operation. Ultrasonic flow sensors adjust their ultrasonic emission and reception parameters according to different pipe materials and fluid characteristics to ensure accurate flow measurement in complex water supply environments.

[0099] Compatibility and reliability design: When designing customized sensor component units, the compatibility between sensors and water supply equipment is fully considered; the signal output formats and communication protocols of different types of sensors are ensured to be compatible with each other, so as to facilitate data interaction with subsequent transmission modules and processing modules; the standard 12mA current signal output can be uniformly adopted, so that the sensor can be seamlessly integrated into the entire inspection system; at the same time, the electromagnetic compatibility (EMC) of the sensor is designed and optimized, so that it can work normally in the complex electromagnetic environment around the water supply equipment, without being interfered by other electrical equipment, and will not cause electromagnetic interference to surrounding equipment and affect its normal operation;

[0100] In order to improve the reliability of the sensor component unit, strict environmental adaptability tests and durability tests are carried out; various harsh environmental conditions that water supply equipment may face are simulated, including high temperature of 80°C, high humidity of more than 95%RH, chlorine in water, acid and alkali corrosive media, and strong mechanical vibration environment, and the sensor is tested for a long time; through these tests, the measurement accuracy, stability and reliability of the sensor in different environments are verified, and the problems found are improved and optimized in time to ensure that the sensor component unit can work stably and reliably during the long-term operation of the water supply system, reduce false alarms and missed alarms caused by sensor failures, and improve the reliability and effectiveness of the entire inspection system;

[0101] Designed for ease of installation and maintenance: We focus on the ease of installation of the sensor component unit, designing special installation tools and simple installation procedures for each sensor, so that installers can quickly and accurately install the sensor to the designated location of the water supply equipment; including for sensors installed on the outer wall of the pipe, a quick-clamping installation fixture is used, and the installation operation can be completed using only a simple wrench, without the need for complicated welding and drilling operations, thus avoiding damage to the water supply pipe.

[0102] The transport module includes:

[0103] A data acquisition unit is used to collect monitoring data from sensors, including pressure, flow, vibration, and temperature;

[0104] The wireless communication unit is connected to the data acquisition unit and uses low-power wide area network technology to transmit the collected monitoring data to the inspection system host through wireless signals. The communication unit selects the NB-IoT network protocol according to the transmission environment to ensure the stability and real-time performance of data transmission.

[0105] The signal enhancement unit is used to enhance the signal strength in the event of wireless signal interruption, ensuring the quality of data transmission in complex environments.

[0106] The process of signal enhancement unit enhancing signal strength is as follows:

[0107] The strength value of the current wireless signal is obtained through the receiving end signal strength indicator RSSI; at the same time, the signal quality index is analyzed to determine whether the wireless signal transmission is obstructed, and the signal obstruction situation is obtained. According to the signal obstruction situation, the transmission antenna is first adjusted; then when the signal is detected to be obstructed and the antenna adjustment effect is not obvious, the signal enhancement unit starts the power amplification function to improve the signal transmission distance and penetration ability. Subsequently, when the signal transmission distance is too far and direct transmission is difficult to achieve effective signal strength, the signal enhancement unit enables the signal forwarding mechanism to enhance the signal. If the signal obstruction is caused by an interference signal, the signal enhancement unit starts the interference suppression function to filter out the interference signal.

[0108] The process of the signal enhancement unit enhancing the signal strength is as follows: Signal obstruction detection and evaluation: The signal enhancement unit continuously monitors the wireless signal transmission status, and obtains the current wireless signal strength value through the receiving end signal strength indicator RSSI; at the same time, analyzes the signal quality indicators, including the bit error rate BER and the signal-to-noise ratio SNR, and comprehensively judges whether the wireless signal transmission is obstructed; it should be further explained that when the RSSI value is lower than the preset normal receiving strength threshold of 80dBm, and the bit error rate is higher than the maximum allowed value of 10^(-3), and the signal-to-noise ratio is lower than the normal range of 10dB, the wireless signal is determined to be interrupted; further determine the cause and degree of signal obstruction; use spectrum analysis technology to scan the spectrum of the wireless signal to detect whether there is an interference signal source and its frequency characteristics; at the same time, according to the attenuation of signal strength with transmission distance, combined with the known transmission environment, evaluate whether the signal obstruction is caused by too long distance, obstacle blocking or interference factors, and the severity of the obstruction, which is divided into mild obstruction, moderate obstruction, and severe obstruction to obtain the signal obstruction situation;

[0109] Antenna adjustment and optimization: According to the signal obstruction situation, the transmission antenna is adjusted first; if the signal obstruction is caused by partial signal obstruction caused by obstacles in the transmission direction, the signal enhancement unit controls the antenna direction adjustment mechanism to rotate the antenna in the direction with stronger signal strength; by real-time monitoring of the changes in RSSI values, the best antenna direction is found to avoid the obstruction of obstacles to the greatest extent and improve the signal reception effect; optimize the polarization mode of the antenna; adjust the polarization direction of the antenna, including changing from vertical polarization to horizontal polarization, to reduce signal reflection and attenuation; the signal enhancement unit automatically switches the polarization mode of the antenna based on the analysis of the transmission environment and signal characteristics, and compares the signal quality indicators under different polarization modes, selects the optimal polarization setting, and improves the signal transmission efficiency; if the transmission environment permits, enable the MIMO technology in the multi-antenna technology; configure multiple antennas in the signal enhancement unit, and use the technical means of spatial diversity and spatial multiplexing to send and receive signals simultaneously using multiple antennas to increase the signal transmission path and reliability; according to the specific situation of signal obstruction, reasonably adjust the spacing and phase relationship between multiple antennas to make the multi-antenna system adapt to different transmission scenarios and effectively improve the signal strength and transmission quality;

[0110] Power amplification and adaptive control: When the signal is detected to be blocked and the antenna adjustment effect is not obvious, the signal enhancement unit starts the power amplification function; by increasing the transmission power of the wireless signal, the signal transmission distance and penetration ability are improved; during the power amplification process, the signal enhancement unit adopts an intelligent power control algorithm to dynamically adjust the transmission power according to the signal strength and quality information fed back by the receiving end; it should be further explained that when the signal is severely blocked, the transmission power is gradually increased, but at the same time, the system power consumption and interference with other wireless devices are monitored to avoid excessive power increase leading to energy waste and aggravated interference problems; in order to ensure the effectiveness and stability of power amplification, the signal enhancement unit linearizes the amplified signal; a digital pre-distortion algorithm is used to compensate for the nonlinear characteristics of the power amplifier, so that the amplified signal waveform remains undistorted, reducing signal distortion and interference caused by power amplification, and ensuring that the signal can be accurately transmitted to the receiving end while the power is enhanced;

[0111] Relay and signal forwarding strategy: When obstacles seriously block the direct transmission and it is difficult to achieve effective signal strength, the signal enhancement unit activates the signal forwarding mechanism; deploys relay equipment, including wireless repeaters, at appropriate locations, and amplifies and processes the weaker signals received by the relay equipment from the source port before forwarding them to the target receiving end; the signal enhancement unit optimizes the relay gain and operating frequency in the parameter settings of the relay equipment through communication and collaborative work with the relay equipment to ensure the signal quality and stability during the relay process; uses an intelligent routing selection algorithm to determine the best signal forwarding path; in a complex environment with multiple potential forwarding paths, the signal enhancement unit comprehensively considers the signal strength, interference, and transmission delay of each path, and selects the best signal forwarding path so that the signal can reach the target device with the strongest strength and the best quality; at the same time, monitors the signal status on the forwarding path in real time, and when a signal failure is found in a certain link, switches to the backup forwarding path in time to ensure the continuity of signal transmission;

[0112] Interference suppression and filtering: If the signal is blocked due to an interference signal, the signal enhancement unit starts the interference suppression function; after determining the frequency range and characteristics of the interference signal through spectrum analysis, a filter is used to filter out the interference signal; it should be further explained that for narrowband interference signals, a band-stop filter is used to attenuate the signal within the interference frequency range; for broadband interference, adaptive filtering technology is used to dynamically adjust the filter parameters according to the real-time changes of the interference signal to minimize the impact of the interference signal on the useful signal; interference cancellation technology is used to further improve the signal quality; the signal enhancement unit uses a signal processing algorithm to analyze and decompose the received signal, separate the useful signal from the interference signal, and generate a signal opposite to the interference signal in the digital domain, which is added to the received signal to offset the impact of the interference signal; at the same time, the interference environment is continuously monitored and the parameters of the interference cancellation algorithm are updated in a timely manner to adapt to interference signals of different types and intensities, ensuring that the strength of the useful signal can still be effectively enhanced in the presence of interference;

[0113] Feedback and optimization adjustment: During the implementation of the above-mentioned measures to enhance the signal strength, the signal enhancement unit continuously receives feedback information from the receiving end, including signal strength, signal quality, and data transmission success rate; based on the feedback information, it evaluates the effectiveness of the current enhancement measures to determine whether the expected signal enhancement goal has been achieved; if the signal strength and quality have not reached the ideal state after a series of measures, the signal enhancement unit further optimizes the adjustment strategy; it should be further explained that the transmission environment is re-evaluated, antenna parameters, power amplification factors, relay node location and other parameters are adjusted, and other alternative signal enhancement technologies and methods are tried until a satisfactory signal transmission effect is obtained; at the same time, the relevant data and parameters of the entire signal enhancement process are recorded to form empirical data for future signal enhancement optimization decisions in similar transmission environments, and the ability and efficiency of the signal enhancement unit to cope with different obstruction situations are continuously improved.

[0114] The processing modules include:

[0115] The data receiving unit is used to receive the monitoring data transmitted by the transmission module and pre-process the monitoring data, including data cleaning, outlier removal and data format conversion;

[0116] A data analysis unit is connected to the data receiving unit, and performs real-time analysis on the monitoring data based on the digital three-dimensional model of the water supply system, identifies potential problems of the water supply equipment by comparing with historical data, evaluates the equipment operation status by using a machine learning algorithm, provides predictive maintenance suggestions, and generates analysis results, which include analysis data and an evaluation report, and the evaluation report includes early warning information and an operation report;

[0117] The data storage unit is used to store analysis data and generated evaluation reports. The data storage unit is connected to the remote maintenance terminal through a cloud server, so that maintenance personnel can check the operating status of the water supply equipment at any time.

[0118] The main control module includes:

[0119] A fault diagnosis unit is used to receive the analysis results of the processing module. When an abnormal situation occurs in the water supply equipment, the fault diagnosis unit generates a fault alarm according to a preset fault diagnosis rule;

[0120] A remote control unit is connected to the fault diagnosis unit and sends control instructions to the water supply equipment through wireless communication based on the fault alarm, including starting a standby water pump and adjusting the valve opening to ensure the normal operation of the water supply system;

[0121] The notification unit is used to send fault information to the mobile terminal of the maintenance personnel through the mobile communication network and provide maintenance suggestions.

[0122] The inspection system host is equipped with a human-computer interaction unit, which includes a touch screen and a voice interaction unit. Maintenance personnel can view the operating status and warning information of the water supply equipment through the touch screen, and query the real-time and historical data of the equipment through the voice interaction unit.

[0123] It needs to be further explained that the implementation steps of the technical solution are:

[0124] Step 1: Surveying and modeling:

[0125] Carry out detailed mapping of the water supply network in old residential areas, obtain spatial information of the pipelines through 3D laser scanning technology, and build a digital 3D model of the water supply system;

[0126] Use the volume calculation formula for the water supply pipe: ;

[0127] in, is the volume of the water supply pipe, is the pipe length, is the pipe cross-sectional area, which is used to further calculate the water pressure distribution;

[0128] Where A is calculated as a circular cross section: ;in, is the inner radius of the pipe;

[0129] Step 2: Sensor Placement:

[0130] Based on the key nodes of model analysis, pressure sensors, flow sensors, vibration sensors and temperature sensors are arranged using non-intrusive installation methods;

[0131] Determine the best placement of each sensor and use the least squares method to optimize the placement to ensure the validity of the monitoring data; non-invasive installation methods include external clamping, adhesion, magnetic installation and non-contact measurement;

[0132] Use the formula: Sensor layout optimization formula:

[0133] ;

[0134] in, : No. The actual measured value of each point;

[0135] :For The predicted value of each point is calculated by the model;

[0136] : No. The input feature value corresponding to the data point;

[0137] : The total number of data points, that is, the number of valid data collected by the sensor;

[0138] :The goal is to minimize the total sum of squared errors;

[0139] By adjusting the layout position to minimize the error;

[0140] Step 3: Data transmission and processing:

[0141] The sensor sends the collected data to the inspection system host through the transmission module, and uses the NB-IoT network protocol for data transmission;

[0142] Among them, the processing module receives monitoring data, performs data cleaning, removes outliers, and standardizes the data;

[0143] Data normalization formula: ;

[0144] in, : original data value;

[0145] : The mean of the original data;

[0146] Defined as: ;

[0147] : standard deviation of the original data;

[0148] Defined as: ;

[0149] : Standardized data values, after transformation, have a mean of 0 and a standard deviation of 1;

[0150] Step 4: Fault diagnosis and early warning:

[0151] Use machine learning algorithms to analyze data, identify abnormal patterns in the water supply system, and generate fault warnings;

[0152] The failure probability is predicted by the logistic regression model, and the formula is as follows:

[0153] ;

[0154] in, : Given input features When , the probability of failure occurs, the value range is [0,1];

[0155] : Fault status, Indicates a fault has occurred. Indicates normal operation;

[0156] : Input characteristic variables, including pressure, flow, temperature, vibration and other monitoring parameters;

[0157] : Bias term, indicating the baseline value of the model;

[0158] : regression coefficient, indicating the influence of each feature on the failure probability;

[0159] : natural constant;

[0160] Step 5: Maintenance and Control:

[0161] When an abnormality is detected, the main control module generates control instructions to adjust the operating parameters of the water supply equipment through the remote control unit, including starting the backup water pump and adjusting the valve opening;

[0162] Maintenance personnel receive notifications through mobile terminals and view fault details. The system provides specific maintenance suggestions.

[0163] Step 6: Geographic information display:

[0164] Through the GIS system, the operating status and fault information of the water supply equipment can be intuitively displayed on the map. Maintenance personnel can view the precise location of the fault point and related inspection data through the GIS map; using the GIS overlay analysis function, the inspection data can be combined with the equipment location to facilitate rapid positioning and handling of faults.

[0165] Through detailed mapping and evaluation of water supply equipment and pipelines in old communities, a digital model of the water supply system is constructed using 3D modeling technology. The key nodes of the water supply equipment are analyzed based on the model, and then customized small, lightweight and easy-to-install sensor components are designed. Non-invasive or minimally invasive installation methods are adopted. At the same time, wireless transmission technology is used to connect the sensor and the inspection system host to reduce the impact of wiring on the community environment. This can not only effectively determine the sensor installation location, but also ensure the normal water use of residents and the integrity of the community building structure, and enable the intelligent online inspection system to run smoothly in old communities.

[0166] Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field and related fields without creative work should fall within the scope of protection of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention are implemented according to the conventional means in the field unless otherwise specified and limited.

Claims

1. Intelligent online inspection system for water supply equipment, characterized by: include: The surveying and mapping module is used to build a digital 3D model of the water supply system, including using a 3D laser scanner to obtain the geometric data of the water supply system, using ArcGIS Pro in the GIS software platform to build the model, and making detailed adjustments to finally obtain a confirmed digital 3D model, and analyze and find out the key nodes of the water supply equipment based on the digital 3D model; The layout module is connected with the surveying and mapping module. Based on the digital 3D model constructed by the surveying and mapping module, non-destructive installation or minimally invasive installation is selected to arrange various types of sensors at key node positions of the water supply equipment. The transmission module is connected to the layout module and is used to collect and transmit the monitoring data of the key nodes of the water supply equipment, and uses wireless transmission technology to connect the sensor and the inspection system host; The processing module is connected to the transmission module, and analyzes the operating status of the water supply equipment based on the monitoring data. It evaluates the health status of the equipment through data comparison and modeling analysis, including fault diagnosis of abnormal flow, excessive or low pressure, and abnormal temperature, and generates early warning information or operation reports; The main control module is connected to the processing module and is used to process the warning information or operation report generated by the processing module, send a warning signal to the mobile terminal of the maintenance personnel based on the preset fault handling rules, and provide corresponding maintenance suggestions or control instructions; The digital three-dimensional model of the water supply system is constructed based on the geographic information system GIS. The GIS model is used to display the spatial layout and operating status of the water supply equipment. The process of constructing the digital three-dimensional model of the water supply system is as follows: Use a 3D laser scanner to fully scan the water supply pipeline and obtain geometric data; Import the scanned geometric data into ArcGIS Pro, a geographic information system (GIS) software platform, to build a digital 3D model of the water supply network; Refine and adjust the model: identify and correct noise and errors in 3D scan data; model the pipe connection points based on the size and angle data of the pipe connection parts collected in the geometric data; use the Gaussian cube algorithm to optimize the curvature and diameter change of the pipe; Verify the consistency between the model and the actual object on site, and obtain a confirmed digital 3D model by comparing the measured data with the model data; Analyze and find out the key nodes of water supply equipment based on the constructed model, including the inlet and outlet of water pumps and the connection points of main pipelines; When verifying the consistency between the model and the actual object, the data difference calculation formula is used: Δ=|M i -S i |; Among them, M i is the model data, S i is the field measurement data, Δ is the difference between the measurement and model data, and the accuracy of the model is judged according to the data difference calculation formula; the judgment standard is: when the difference Δ of all key nodes is less than 5%, it is considered that the accuracy of the model meets the requirements; if it exceeds this threshold, the model needs to be recalibrated and adjusted until a confirmed digital 3D model is obtained; The measurement data is collected on-site using a high-precision laser rangefinder or ultrasonic measuring instrument, including the length, diameter, angle and spatial position of the pipeline; the model data is obtained through the digital simulation results in the 3D modeling software Revit, including the exported geometric dimensions and spatial coordinates; Determine key nodes based on model analysis. The analysis process includes: Identify the major components in water supply equipment, including pumps, valves, and main pipes; Use digital 3D models to simulate and analyze the flow, pressure, and temperature of each key node to determine the changing trends of key parameters; Use finite element analysis to analyze stress and deformation of water supply pipelines and identify weak links; Combine historical data to evaluate the operating status of key nodes, determine whether there is a risk of potential failure or performance degradation, and obtain analysis results; According to the analysis results, the water pump inlet and outlet and the main pipeline connection are determined as the sensor layout points to ensure the effectiveness of subsequent monitoring; Among them, the main components: water pumps, valves, and main pipelines are important parts of the water supply system; key nodes refer to the points of the main components that are crucial to the stability and efficiency of the system during the operation of the water supply system; key nodes are key locations for monitoring and measurement, including the inlet and outlet of the water pump and the connection points of the main pipeline.

2. The intelligent online inspection system for water supply equipment according to claim 1 is characterized in that: The arrangement module comprises: Customized sensor assembly units designed for different parts of water supply equipment, including external clamp-on vibration sensors for pipe vibration measurement, pressure sensors for pressure detection, ultrasonic flow sensors for flow measurement, and surface-adhesive temperature sensors for temperature monitoring; An installation adjustment unit is installed. During the installation process, the sensor is fixed to the outer wall of the pipe by a pipe clamp and adjusted using a spiral fastening structure to ensure that the sensor is in close contact with the pipe surface. The installation adjustment unit can also adjust the installation angle of the sensor to ensure the accuracy of the monitoring data.

3. The intelligent online inspection system for water supply equipment according to claim 2 is characterized in that: The transmission module comprises: A data acquisition unit, used to collect monitoring data of the sensor, wherein the monitoring data includes pressure, flow, vibration, and temperature; The wireless communication unit is connected to the data acquisition unit and uses wide area network technology to transmit the collected monitoring data to the inspection system host via wireless signals; Signal booster unit, used to increase signal strength in case of wireless signal attenuation or interruption.

4. The intelligent online inspection system for water supply equipment according to claim 3 is characterized by: The process of signal enhancement unit enhancing signal strength is as follows: The strength value of the current wireless signal is obtained through the receiving end signal strength indicator RSSI; at the same time, the signal quality index is analyzed to determine whether the wireless signal transmission is obstructed, and the signal obstruction situation is obtained. According to the signal obstruction situation, the transmission antenna is first adjusted; then when the signal is detected to be obstructed and the antenna adjustment effect is not obvious, the signal enhancement unit starts the power amplification function to improve the signal transmission distance and penetration ability. Subsequently, when the signal transmission distance is too far or the obstacles are seriously blocked, making it difficult to achieve effective signal strength through direct transmission, the signal enhancement unit enables the relay or signal forwarding mechanism to enhance the signal. If the signal obstruction is caused by an interference signal, the signal enhancement unit starts the interference suppression function to filter out the interference signal.

5. The intelligent online inspection system for water supply equipment according to claim 4 is characterized in that: The processing module comprises: The data receiving unit is used to receive the monitoring data transmitted by the transmission module and pre-process the monitoring data, including data cleaning, outlier removal and data format conversion; A data analysis unit is connected to the data receiving unit, and performs real-time analysis on the monitoring data based on the digital three-dimensional model of the water supply system, identifies potential problems of the water supply equipment by comparing with historical data, evaluates the equipment operation status by using a machine learning algorithm, provides predictive maintenance suggestions, and generates analysis results, which include analysis data and an evaluation report, and the evaluation report includes early warning information and an operation report; The data storage unit is used to store the analysis data and the generated evaluation report. The data storage unit is connected to the remote maintenance terminal through the cloud server.

6. The intelligent online inspection system for water supply equipment according to claim 1 is characterized by: The main control module comprises: A fault diagnosis unit is used to receive the analysis results of the processing module. When an abnormal situation occurs in the water supply equipment, the fault diagnosis unit generates a fault alarm according to a preset fault diagnosis rule; A remote control unit is connected to the fault diagnosis unit and sends control instructions to the water supply equipment through wireless communication based on the fault alarm, including starting a standby water pump and adjusting the valve opening; The notification unit is used to send fault information to the mobile terminal of the maintenance personnel through the mobile communication network and provide maintenance suggestions.

7. The intelligent online inspection system for water supply equipment according to claim 6 is characterized by: The inspection system host is provided with a human-computer interaction unit, which includes a touch screen and a voice interaction unit. Maintenance personnel view the operating status and warning information of the water supply equipment through the touch screen, and query the real-time data or historical data of the equipment through the voice interaction unit.

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