A water service dynamic monitoring system and method based on digital twin

Abstract

The present invention discloses a water service dynamic monitoring system and method based on digital twin, belonging to the technical field of water service monitoring. The system includes: obtaining the working environment data of devices, the performance data of each monitoring device, and water service data, where the water service data includes hydrological data and water quality data; comprehensively analyzing the working environment data of the devices to obtain an evaluation value of the device working environment, comprehensively analyzing the performance data of each monitoring device to obtain a performance evaluation value of each monitoring device, comprehensively analyzing the evaluation value of the device working environment and the performance evaluation value of each monitoring device to obtain a status evaluation value of each monitoring device, and performing evaluation feedback according to the status evaluation value of each monitoring device; comprehensively analyzing the water quality data to obtain a water quality evaluation value, and finally comprehensively analyzing the water quality evaluation value, the evaluation value of the device working environment, and the hydrological data to obtain a water service status evaluation value, and performing evaluation feedback according to the water service status evaluation value.

Description

Technical Field

[0001] The present invention relates to the technical field of water service monitoring, and particularly to a water service dynamic monitoring system and method based on digital twin. Background Art

[0002] Digital twin technology is a digital model technology based on physical entities or processes. By establishing a digital model to simulate and emulate actual objects, it realizes the two-way mapping between the physical world and the digital world. In a water service dynamic monitoring system, digital twin technology can be applied to water quality monitoring, simulation, and equipment maintenance, etc.

[0003] Existing water service dynamic monitoring systems have achieved real-time monitoring and data analysis of water service systems through technical means such as integrating Internet of Things technology, big data processing and analysis technology, visual monitoring platforms, and multi-system data linkage.

[0004] For example, the digital twin-based intelligent water service dynamic monitoring system and monitoring method announced in the invention patent announcement with the publication number: CN117610322B includes: a digital twin model construction unit, an intelligent water service dynamic monitoring unit, an operating state analysis and prediction unit, and a water resource management optimization unit; by installing sensors at water sources, water treatment plants, and pipe networks, parameters such as water level, flow rate, ambient temperature, ambient humidity, wind speed, etc. are monitored in real time, and real-time monitoring and prediction of the water service system are realized through digital twin technology, improving the real-time performance, accuracy, and intelligence level of water service monitoring.

[0005] For example, an intelligent water service Internet of Things integrated management system and method announced in the invention patent announcement with the publication number: CN114021296B includes: a cloud center and an organizational structure. The cloud center includes a cloud server and a human-computer interaction component, and the organizational structure includes water service hardware, a collection and communication module, a water service modeling module, and an operation and maintenance module; the water service hardware includes urban pipe networks and monitoring nodes distributed at each node in the pipe networks; the invention divides urban pipe networks into multiple metrological regions and sets monitoring nodes respectively to monitor the parameters of the corresponding regions and perform positioning. The pipe network data is collected through a modeling system to form a pipe network model. The monitoring nodes are connected to the pipe network model and the coordinate positions are displayed in the pipe network model. By setting data thresholds for each monitoring node through a data comparison system and comparing with real-time data, when an abnormality occurs, the coordinate positions of the monitoring node regions are highlighted in the pipe network model, facilitating maintenance personnel to quickly know the abnormality and quickly locate the position.

[0006] However, in the process of implementing the technical solutions of the present invention in the embodiments of the present application, it is found that the above technologies have at least the following technical problems:

[0007] In the prior art, during the dynamic monitoring of water utilities, due to errors in some monitoring methods, monitoring devices are subject to other interferences and generate data errors, resulting in the problem of low accuracy of water utility monitoring data and being unable to truly reflect the water environment status. Summary of the Invention

[0008] By providing a water utility dynamic monitoring system and method based on digital twin in the embodiments of the present application, the problem in the prior art that during the dynamic monitoring of water utilities, due to errors in some monitoring methods, monitoring devices are subject to other interferences and generate data errors, resulting in the problem of low accuracy of water utility monitoring data is solved, and the accuracy of water utility monitoring data is improved.

[0009] The embodiments of the present application provide a water utility dynamic monitoring system based on digital twin, including: a data acquisition module, a device data processing module, a water utility data processing module, and a water utility detection database; wherein, the data acquisition module is used to acquire device working environment data, performance data of each monitoring device, and water utility data, and the water utility data includes hydrological data and water quality data; the device data processing module is used to comprehensively analyze the device working environment data to obtain a device working environment evaluation value, comprehensively analyze the performance data of each monitoring device to obtain a performance evaluation value of each monitoring device, comprehensively analyze the device working environment evaluation value and the performance evaluation values of each monitoring device to obtain a status evaluation value of each monitoring device, and perform evaluation feedback according to the status evaluation values of each monitoring device; the water utility data processing module is used to comprehensively analyze the water quality data to obtain a water quality evaluation value, and finally comprehensively analyze the water quality evaluation value, the device working environment evaluation value, and the hydrological data to obtain a water utility status evaluation value, and perform evaluation feedback according to the water utility status evaluation value.

[0010] Further, the step of comprehensively analyzing the device working environment data to obtain a device working environment evaluation value includes: the device working environment data includes environmental temperature, environmental humidity, and environmental air pressure; obtaining a reference environmental temperature, an allowable deviation of environmental temperature, a reference environmental humidity, an allowable deviation of environmental humidity, a reference environmental air pressure value, and an allowable deviation of environmental air pressure value from the water utility detection database; and comprehensively analyzing to obtain a device working environment evaluation value.

[0011] Further, the step of comprehensively analyzing the performance data of each monitoring device to obtain a performance evaluation value of each monitoring device includes: the performance data of each monitoring device includes the cumulative operation time, noise intensity, and vibration frequency of each monitoring device; obtaining a critical cumulative operation time, a reference noise intensity, an allowable deviation of noise intensity, a reference vibration frequency, and an allowable deviation of vibration frequency from the water utility detection database; and comprehensively analyzing to obtain a performance evaluation value of each monitoring device.

[0012] Further, the steps of comprehensively analyzing the status evaluation values of each monitoring device based on the device working environment evaluation value and the performance evaluation values of each monitoring device include: obtaining the critical device working environment evaluation value and the critical performance evaluation value from the water quality detection database; comprehensively analyzing to obtain the status evaluation values of each monitoring device.

[0013] Further, the steps of performing evaluation feedback based on the status evaluation values of each monitoring device include: obtaining the status evaluation threshold from the water quality detection database; comparing the status evaluation values of each monitoring device with the status evaluation threshold. If the status evaluation value of a certain monitoring device is less than the status evaluation threshold, then mark this detection device as a non-conforming device and perform feedback adjustment. If the status evaluation value of a certain monitoring device is greater than or equal to the status evaluation threshold, then mark this detection device as a conforming device.

[0014] Further, the steps of comprehensively analyzing to obtain the water quality evaluation value based on the water quality data include: the water quality data includes pH value, dissolved oxygen concentration, and the concentrations of various pollutants; obtaining the reference pH value, allowable deviation of pH value, reference dissolved oxygen concentration, allowable deviation of dissolved oxygen concentration, and the critical concentrations of various pollutants from the water quality detection database; comprehensively analyzing to obtain the water quality evaluation value.

[0015] Further, comprehensively analyzing to obtain the water service status evaluation value: the hydrological data includes water flow velocity and water level change rate; obtaining the reference water flow velocity, allowable deviation of water flow velocity, critical water level change rate, critical water quality evaluation value, and critical device working environment evaluation value from the water quality detection database; comprehensively analyzing based on the water quality evaluation value, device working environment evaluation value, and hydrological data to obtain the water service status evaluation value.

[0016] Further, the acquisition method of the water service status evaluation value is as follows:

[0017]

[0018] In the formula, ξS represents the water service status evaluation value, α1 represents the influence factor of the water service monitoring device status corresponding to the water flow velocity, α2 represents the influence factor of the water service monitoring device status corresponding to the water level change rate, α3 represents the influence factor of the water service monitoring device status corresponding to the monitoring device environment, α4 represents the influence factor of the water service monitoring device status corresponding to the water quality, V1 represents the water flow velocity, V0 represents the reference water flow velocity, V2 represents the allowable deviation of water flow velocity, C1 represents the water level change rate, C0 represents the critical water level change rate, ζE1 represents the device working environment evaluation value, ζE0 represents the critical device working environment evaluation value, ξQ1 represents the water quality evaluation value, ξQ0 represents the critical water quality evaluation value, e is the natural constant, where i is the monitoring device number, i = 1, 2, 3,..., N, and N is the number of monitoring devices.

[0019] Further, the steps of performing evaluation and feedback based on the water service status evaluation value include: obtaining the water service status evaluation threshold from the water service detection database; comparing the water service status evaluation value with the water service status evaluation threshold. If the water service status evaluation value is greater than or equal to the water service status evaluation threshold, the water service status is evaluated as good. If the water service status evaluation value is less than the water service status evaluation threshold, the water service status is evaluated as abnormal and adjustment feedback is performed.

[0020] Further, a digital twin-based dynamic water service monitoring method is characterized in that the specific steps include: obtaining device working environment data, the performance data of each monitoring device, and water service data, where the water service data includes hydrological data and water quality data; comprehensively analyzing the device working environment data to obtain a device working environment evaluation value, comprehensively analyzing the performance data of each monitoring device to obtain a performance evaluation value of each monitoring device, comprehensively analyzing the device working environment evaluation value and the performance evaluation value of each monitoring device to obtain a status evaluation value of each monitoring device, and performing evaluation feedback based on the status evaluation value of each monitoring device; comprehensively analyzing the water quality data to obtain a water quality evaluation value, and finally comprehensively analyzing the water quality evaluation value, the device working environment evaluation value, and the hydrological data to obtain a water service status evaluation value, and performing evaluation feedback based on the water service status evaluation value.

[0021] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0022] 1. By providing a digital twin-based dynamic water service monitoring system and method, the present invention can comprehensively and real-time obtain device working environment data, monitoring device performance data, and water service data, thereby realizing accurate evaluation and timely feedback on the status of the water service system, effectively improving the intelligent level and emergency response ability of water service management.

[0023] 2. By performing evaluation feedback based on the status evaluation value of each monitoring device, the present invention can timely discover and identify potential problems or abnormal situations in the monitoring devices, thereby realizing preventive maintenance and fault warning of the monitoring devices, and improving the reliability and stability of the system.

[0024] 3. By performing evaluation feedback based on the water service status evaluation value, the present invention can accurately judge the overall operation status of the water service system, timely discover potential water quality problems or hydrological anomalies, thereby realizing accurate management and timely intervention of the water service system. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic structural diagram of a digital twin-based dynamic water service monitoring system provided in an embodiment of the present application.

[0026] Figure 2It is a graph showing the change of the monitoring device status evaluation value of the water service dynamic monitoring system based on digital twin provided by the embodiment of the present application.

[0027] Figure 3 It is a flowchart of the water service dynamic monitoring method based on digital twin provided by the embodiment of the present application. Detailed implementation manners

[0028] In the embodiment of the present application, by providing a water service dynamic monitoring system and method based on digital twin, the problem in the prior art that in the process of dynamically monitoring water services, due to errors in some monitoring methods, monitoring devices are subject to other interferences and generate data errors, resulting in low accuracy of water service monitoring data is solved. By comprehensively analyzing the device working environment data to obtain the device working environment evaluation value, comprehensively analyzing the performance data of each monitoring device to obtain the performance evaluation value of each monitoring device, comprehensively analyzing the device working environment evaluation value and the performance evaluation value of each monitoring device to obtain the status evaluation value of each monitoring device, and performing evaluation feedback according to the status evaluation value of each monitoring device; by comprehensively analyzing the water quality data to obtain the water quality evaluation value, and finally comprehensively analyzing the water quality evaluation value, the device working environment evaluation value and the hydrological data to obtain the water service status evaluation value, and performing evaluation feedback according to the water service status evaluation value, the accuracy of water service monitoring data is improved.

[0029] The technical solution in the embodiment of the present application is to solve the problem that in the process of dynamically monitoring water services, due to errors in some monitoring methods, monitoring devices are subject to other interferences and generate data errors, resulting in low accuracy of water service monitoring data. The general idea is as follows:

[0030] By obtaining the device working environment data, the performance data of each monitoring device and the water service data, where the water service data includes hydrological data and water quality data; comprehensively analyzing the device working environment data to obtain the device working environment evaluation value, comprehensively analyzing the performance data of each monitoring device to obtain the performance evaluation value of each monitoring device, comprehensively analyzing the device working environment evaluation value and the performance evaluation value of each monitoring device to obtain the status evaluation value of each monitoring device, and performing evaluation feedback according to the status evaluation value of each monitoring device; comprehensively analyzing the water quality data to obtain the water quality evaluation value, and finally comprehensively analyzing the water quality evaluation value, the device working environment evaluation value and the hydrological data to obtain the water service status evaluation value, and performing evaluation feedback according to the water service status evaluation value, the intelligent level of water service management is improved, which helps to achieve the sustainable utilization of water resources and the safe and stable operation of the water service system.

[0031] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific implementation manners.

[0032] Such as Figure 1As shown in the figure, it is a schematic structural diagram of a water service dynamic monitoring system based on digital twins provided by an embodiment of the present application. The water service dynamic monitoring system based on digital twins provided by the embodiment of the present application includes: a data acquisition module, a device data processing module, a water service data processing module, and a water service detection database; wherein, the data acquisition module is used to acquire device working environment data, performance data of each monitoring device, and water service data, and the water service data includes hydrological data and water quality data; the device data processing module is used to comprehensively analyze the device working environment data to obtain a device working environment evaluation value, comprehensively analyze the performance data of each monitoring device to obtain a performance evaluation value of each monitoring device, comprehensively analyze the device working environment evaluation value and the performance evaluation value of each monitoring device to obtain a status evaluation value of each monitoring device, and perform evaluation feedback according to the status evaluation value of each monitoring device; the water service data processing module is used to comprehensively analyze the water quality data to obtain a water quality evaluation value, and finally comprehensively analyze the water quality evaluation value, the device working environment evaluation value, and the hydrological data to obtain a water service status evaluation value, and perform evaluation feedback according to the water service status evaluation value.

[0033] In this embodiment, the device working environment data and performance data of each environmental monitoring point can be monitored and acquired by deploying sensors. At the same time, the virtual models of each device are constructed by using digital twin technology, and the real-time data collected by the sensors are synchronized to the digital twin model, which is the calculation formula for the device working environment evaluation value and the performance evaluation value of each monitoring device, realizing the real-time monitoring and evaluation of the device working environment and performance data; when comprehensively evaluating the water service status, by constructing a digital twin body of the water service system, multi-source information such as water quality data, device working environment data, and hydrological data is collected and integrated in real time. The digital twin body can comprehensively analyze these data (that is, by using the water quality evaluation value calculation formula and the water service status evaluation value calculation formula) to obtain the water service status evaluation value. Through the above process, the efficiency of equipment maintenance and management can be improved, and the safety of water service water quality can be guaranteed.

[0034] In addition, the water service detection database is used to store data related to the water service dynamic monitoring system based on digital twins, including: reference environmental temperature, allowable deviation of environmental temperature, reference environmental humidity, allowable deviation of environmental humidity, critical environmental air pressure value, critical device working environment evaluation value, critical performance evaluation value, status evaluation threshold, and monitoring device performance evaluation influence factor corresponding to the cumulative operation time, etc. The data in the water service detection database can be obtained by applying for data sharing from the water conservancy department or purchasing data, or by querying and downloading in the online water service database platform and relevant open data platforms, or by collecting through cooperation with relevant scientific research institutions.

[0035] Further, the steps of comprehensively analyzing the equipment working environment data to obtain the equipment working environment evaluation value include: the equipment working environment data includes environmental temperature, environmental humidity, and environmental air pressure; obtaining the reference environmental temperature, allowable deviation environmental temperature, reference environmental humidity, allowable deviation environmental humidity, reference environmental air pressure value, and allowable deviation environmental air pressure value from the water quality detection database; and comprehensively analyzing to obtain the equipment working environment evaluation value.

[0036] Among them, the acquisition method of the equipment working environment evaluation value is as follows:

[0037]

[0038] In the formula, ζE1 represents the equipment working environment evaluation value, β1 represents the environmental evaluation influence factor corresponding to the environmental temperature, β2 represents the environmental evaluation influence factor corresponding to the environmental humidity, β3 represents the environmental evaluation influence factor corresponding to the environmental air pressure, T 1k represents the environmental temperature of the kth environmental monitoring point, T0 represents the reference environmental temperature, T2 represents the allowable deviation environmental temperature, H 1h represents the environmental humidity of the kth environmental monitoring point, H0 represents the reference environmental humidity, H2 represents the allowable deviation environmental humidity, P 1k represents the environmental air pressure value of the kth environmental monitoring point, P0 represents the reference environmental air pressure value, P2 represents the allowable deviation environmental air pressure value, where k is the environmental monitoring point number, k = 1, 2, 3,..., K, and K is the number of environmental monitoring points.

[0039] β1, β2, and β3 are respectively the equipment working environment evaluation influence factors corresponding to the environmental temperature, environmental humidity, and environmental air pressure preset in the water quality detection database, and respectively represent the numerical values of the influence degrees of the environmental temperature, environmental humidity, and environmental air pressure on the equipment working environment evaluation value, and can be directly obtained from the water quality detection database when used. For example, the environmental temperature and the equipment working environment evaluation influence factor corresponding to the preset environmental temperature in the water quality detection database form a mapping set, and the equipment working environment evaluation influence factor corresponding to the environmental temperature is obtained by inputting the environmental temperature into the mapping set; the environmental humidity and the equipment working environment evaluation influence factor corresponding to the preset environmental humidity in the water quality detection database form a mapping set, and the equipment working environment evaluation influence factor corresponding to the environmental humidity is obtained by inputting the environmental humidity into the mapping set; the environmental air pressure and the equipment working environment evaluation influence factor corresponding to the preset environmental air pressure in the water quality detection database form a mapping set, and the equipment working environment evaluation influence factor corresponding to the environmental air pressure is obtained by inputting the environmental air pressure into the mapping set, where the mapping relationship is a many-to-one or one-to-one relationship, and the value range of the influence factor in this embodiment is between 0 and 1.

[0040] In this embodiment, the ambient temperature is usually measured by a temperature sensor, the ambient humidity can be obtained by measuring with a humidity sensor, and the ambient air pressure can be obtained by measuring with a barometric pressure sensor. There is a certain correlation among the ambient temperature, ambient humidity, and ambient air pressure. For example, in a closed space, as the temperature rises, the moisture in the air may evaporate, resulting in a decrease in humidity; at the same time, the change in temperature may also affect the stability of the air pressure; in addition, the changes in humidity and air pressure may also have an impact on each other on the operation of the equipment. By comprehensively analyzing the ambient temperature, ambient humidity, and ambient air pressure, the working environment of the equipment can be comprehensively evaluated, and the operation of the equipment can be adjusted to ensure operation in the best state, which helps to improve the stability and reliability of the equipment. When the evaluation value of the equipment working environment is lower than the critical evaluation value of the equipment working environment, it indicates that there are problems with the current equipment working environment and it needs to be adjusted and processed in a timely manner, which can be done according to the numerical conditions of the ambient temperature, ambient humidity, and ambient air pressure. For example, when the absolute value of the difference between the ambient temperature and the reference ambient temperature is greater than or equal to the allowable deviation of the ambient humidity, it indicates that there is a problem with the working temperature of the equipment, and it may cause abnormal operation of the sensors or circuit components inside the detection equipment due to excessive temperature, thus interfering with the normal monitoring work and requiring timely cooling treatment.

[0041] Further, the steps of comprehensively analyzing the performance evaluation values of each monitoring device based on the performance data of each monitoring device include: the performance data of each monitoring device includes the cumulative operation time, noise intensity, and vibration frequency of each monitoring device; obtaining the critical cumulative operation time, reference noise intensity, allowable deviation of noise intensity, reference vibration frequency, and allowable deviation of vibration frequency from the water quality detection database; and comprehensively analyzing to obtain the performance evaluation values of each monitoring device.

[0042] Among them, the method for obtaining the performance evaluation value of each monitoring device is as follows:

[0043]

[0044] In the formula, ζP 1i represents the performance evaluation value of the i-th monitoring device, β4 represents the influence factor of the monitoring device performance evaluation corresponding to the cumulative operation time, β5 represents the influence factor of the monitoring device performance evaluation corresponding to the noise intensity, β6 represents the influence factor of the monitoring device performance evaluation corresponding to the vibration frequency, R 1i represents the cumulative operation time of the i-th monitoring device, R0 represents the critical cumulative operation time, N 1i represents the noise intensity of the i-th monitoring device, N0 represents the reference noise intensity, N2 represents the allowable deviation of the vibration intensity, F 1i represents the vibration frequency of the i-th monitoring device, F0 represents the reference vibration frequency, F2 represents the allowable deviation of the vibration frequency, i is the monitoring device number, i = 1, 2, 3,..., N, and N is the number of monitoring devices.

[0045] β4, β5, and β6 are the monitoring device performance evaluation impact factors corresponding to the preset cumulative operation time, noise intensity, and vibration frequency in the water service detection database respectively, which represent the numerical values of the influence degrees of the cumulative operation time, noise intensity, and vibration frequency on the performance evaluation value of the monitoring device, and can be directly obtained from the water service detection database when in use. For example, the cumulative operation time forms a mapping set with the monitoring device performance evaluation impact factor corresponding to the preset cumulative operation time in the water service detection database, and the monitoring device performance evaluation impact factor corresponding to this cumulative operation time is obtained by inputting the cumulative operation time into the mapping set; the noise intensity forms a mapping set with the monitoring device performance evaluation impact factor corresponding to the preset noise intensity in the water service detection database, and the monitoring device performance evaluation impact factor corresponding to this noise intensity is obtained by inputting the noise intensity into the mapping set; the vibration frequency forms a mapping set with the monitoring device performance evaluation impact factor corresponding to the preset vibration frequency in the water service detection database, and the monitoring device performance evaluation impact factor corresponding to this vibration frequency is obtained by inputting the vibration frequency into the mapping set, where the mapping relationship is a many-to-one or one-to-one relationship, and in this embodiment, the value range of the impact factor is between 0 and 1.

[0046] In this embodiment, the cumulative operation time can be obtained through the built-in timer or data recording system of the monitoring device. These systems can track the operation time of the device in real time and provide the numerical value of the cumulative operation time when needed; the noise intensity refers to the noise intensity inside the device and can be measured using a professional noise monitoring device (such as a noise analyzer); the vibration frequency refers to the vibration frequency inside the monitoring device during operation and can be measured using a vibration sensor. There is a certain correlation among the three parameters of cumulative operation time, noise intensity, and vibration frequency. For example, as the cumulative operation time of the device increases, the degree of wear and aging of the device may intensify, resulting in an increase in noise intensity and vibration frequency. In addition, the changes in noise intensity and vibration frequency may also reflect the operation state and performance status of the device. By comprehensively analyzing the numerical values of these three parameters of cumulative operation time, noise intensity, and vibration frequency, the device performance can be comprehensively evaluated and potential faults can be detected in a timely manner. According to the performance evaluation values of each monitoring device, the operation conditions of the device (such as reducing the operation time, lowering the load, etc.) can be adjusted to reduce the noise intensity and vibration frequency and improve the stability and reliability of the device.

[0047] Further, the steps of comprehensively analyzing the state evaluation values of each monitoring device based on the device working environment evaluation value and the performance evaluation values of each monitoring device include: obtaining the critical device working environment evaluation value and the critical performance evaluation value from the water service detection database; comprehensively analyzing to obtain the state evaluation values of each monitoring device.

[0048] Among them, the obtaining method of the state evaluation values of each monitoring device is as follows:

[0049]

[0050] where ζS 1i represents the status evaluation value of the i-th monitoring device, β7 represents the monitoring device status evaluation influence factor corresponding to the device working environment evaluation value, β8 represents the monitoring device status evaluation influence factor corresponding to the performance evaluation value, ζE1 represents the device working environment evaluation value, ζE0 represents the critical device working environment evaluation value, and ζP 1i represents the performance evaluation value of the i-th monitoring device, and ζP0 represents the critical performance evaluation value.

[0051] β7 and β8 are respectively the monitoring device status evaluation influence factors corresponding to the device working environment evaluation value and the performance evaluation value preset in the water quality detection database, and respectively represent the numerical values of the influence degrees of the device working environment evaluation value and the performance evaluation value on the monitoring device status evaluation value. They can be directly obtained from the water quality detection database when used. For example, the device working environment evaluation value and the monitoring device status evaluation influence factor corresponding to the device working environment evaluation value preset in the water quality detection database form a mapping set, and the monitoring device status evaluation influence factor corresponding to the device working environment evaluation value is obtained by inputting the device working environment evaluation value into the mapping set; the performance evaluation value and the monitoring device status evaluation influence factor corresponding to the performance evaluation value preset in the water quality detection database form a mapping set, and the monitoring device status evaluation influence factor corresponding to the performance evaluation value is obtained by inputting the performance evaluation value into the mapping set. The mapping relationship is a many-to-one or one-to-one relationship. In this embodiment, the value range of the influence factor is between 0 and 1.

[0052] In this embodiment, the device working environment evaluation value mainly reflects the overall condition of the environment where the device is located, and the performance evaluation value of each monitoring device focuses on the operation status and performance of the device itself. These two evaluation values are complementary in content and jointly constitute a comprehensive evaluation of the monitoring device status. In addition, the quality of the device working environment may directly affect the performance and operation status of the device. For example, too high a temperature may cause the device to overheat, thereby affecting its performance and lifespan. Similarly, the performance condition of the device may also have a feedback effect on environmental factors. For example, the vibration and noise generated during the operation of the device may interfere with the surrounding environment. Therefore, by comprehensively analyzing the device working environment evaluation value and the performance evaluation value of each monitoring device, the device status can be comprehensively evaluated, and at the same time, the evaluation accuracy can be improved. Based on the comprehensive analysis, a more scientific and reasonable device maintenance strategy can be formulated. For example, for a device in a harsh environment with a decline in performance, more maintenance and upkeep work may be required; while for a device with a good environment and stable performance, the maintenance cycle can be appropriately extended.

[0053] Set the monitoring device status evaluation impact factor corresponding to the device working environment evaluation value to 0.4, the monitoring device status evaluation impact factor corresponding to the performance evaluation value to 0.6, the device working environment evaluation value to 1.2, the critical device working environment evaluation value to 1.15, and the critical performance evaluation value to 1.4. Calculate the status evaluation value of the monitoring device when the performance evaluation value of a certain monitoring device is constantly changing. As shown in Table 1, the data table of the monitoring device status evaluation value of the water service dynamic monitoring system based on digital twins.

[0054] Table 1 Data table of the monitoring device status evaluation value of the water service dynamic monitoring system based on digital twins

[0055] Number <![CDATA[ζP 1i > <![CDATA[ζS 1i > 1 1.3 1.691 2 1.35 1.697 3 1.4 1.702 4 1.45 1.708 5 1.5 1.714

[0056] As Figure 2 shown, it is the change diagram of the monitoring device status evaluation value of the water service dynamic monitoring system provided by the embodiment of the present application. As shown in Table 1 and Figure 2 it can be seen that when the monitoring device status evaluation impact factor corresponding to the device working environment evaluation value, the monitoring device status evaluation impact factor corresponding to the performance evaluation value, the device working environment evaluation value, the critical device working environment evaluation value, and the critical performance evaluation value remain unchanged, as the performance evaluation value of the monitoring device increases continuously, the status evaluation value of the monitoring device also increases continuously.

[0057] Furthermore, the steps of performing evaluation feedback according to the status evaluation values of each monitoring device include: obtaining the status evaluation threshold from the water service detection database; comparing the status evaluation values of each monitoring device with the status evaluation threshold. If the status evaluation value of a certain monitoring device is less than the status evaluation threshold, mark the detection device as a non-conforming device and perform feedback adjustment. If the status evaluation value of a certain monitoring device is greater than or equal to the status evaluation threshold, mark the detection device as a conforming device.

[0058] In this embodiment, the status evaluation threshold is a critical value used to determine whether the status of the monitoring device is qualified. When the status evaluation value of a certain monitoring device is less than the status evaluation threshold, it indicates that the status of the monitoring device is abnormal. The difference between the status evaluation threshold and the status evaluation value of each monitoring device can be marked as the status evaluation difference, and the device status can be divided into different levels according to the status evaluation difference, including the first level, the second level, and the third level. When the status evaluation difference is at the first level, it means that the abnormal situation of the monitoring device is relatively minor, and planned maintenance can be arranged in the near future to conduct a comprehensive inspection and maintenance of the device. At the same time, increase the frequency of daily inspections of the device to promptly discover and handle potential problems. When the status evaluation difference is at the second level, it means that the abnormal situation of the monitoring device is relatively serious, and the operating parameters of the device can be adjusted to delay the occurrence of failures. At the same time, preventive maintenance is carried out during the repair process. When the status evaluation difference is at the third level, it means that the abnormal situation of the monitoring device is extremely serious, and it is necessary to immediately stop the machine for inspection and conduct necessary emergency repairs or replace key components according to the inspection results. After the repair is completed, strengthen the continuous monitoring of the device to ensure that the device status returns to normal. For example, currently, the status evaluation value of a certain monitoring device is 1.10, and the status evaluation threshold is 1.25. Therefore, the current status evaluation difference is 0.15. The status evaluation difference range corresponding to the first level preset in the water quality detection database is (0, 0.1), the status evaluation difference range corresponding to the second level is [0.1, 0.2], and the status evaluation difference range corresponding to the third level is greater than 0.2. Therefore, the current abnormal level of the monitoring device is the second level.

[0059] Further, the steps of comprehensively analyzing the water quality data to obtain the water quality evaluation value include: the water quality data includes the PH value, the dissolved oxygen concentration, and the concentrations of various pollutants; obtaining the reference PH value, the allowable deviation of the PH value, the reference dissolved oxygen concentration, the allowable deviation of the dissolved oxygen concentration, and the critical concentrations of various pollutants from the water quality detection database; and comprehensively analyzing to obtain the water quality evaluation value.

[0060] Among them, the acquisition method of the water quality evaluation value is as follows:

[0061]

[0062] In the formula, ξQ represents the water quality evaluation value, α5 represents the water quality evaluation influence factor corresponding to the PH value, α6 represents the water quality evaluation influence factor corresponding to the dissolved oxygen concentration, α7 represents the water quality evaluation influence factor corresponding to the concentrations of various pollutants, PH1 represents the PH value, PH0 represents the reference PH value, PH2 represents the allowable deviation of the PH value, O1 represents the dissolved oxygen concentration, O0 represents the reference dissolved oxygen concentration, O2 represents the allowable deviation of the dissolved oxygen concentration, PC 1j represents the concentration of the jth pollutant, PC 0jRepresents the concentration of the j-th critical pollutant, where j is the pollutant number, j = 1, 2, 3,..., M, and M is the number of pollutants.

[0063] α5, α6, and α7 are the water quality assessment impact factors corresponding to the preset pH value, dissolved oxygen concentration, and the concentration of each pollutant in the water quality detection database, respectively, representing the numerical values of the influence degrees of the pH value, dissolved oxygen concentration, and the concentration of each pollutant on the water quality assessment value, and can be directly obtained from the water quality detection database when in use. For example, the pH value forms a mapping set with the water quality assessment impact factor corresponding to the preset pH value in the water quality detection database, and the water quality assessment impact factor corresponding to the pH value is obtained by inputting the pH value into the mapping set; the dissolved oxygen concentration forms a mapping set with the water quality assessment impact factor corresponding to the preset dissolved oxygen concentration in the water quality detection database, and the water quality assessment impact factor corresponding to the dissolved oxygen concentration is obtained by inputting the dissolved oxygen concentration into the mapping set; the concentration of each pollutant forms a mapping set with the water quality assessment impact factor corresponding to the preset concentration of each pollutant in the water quality detection database, and the water quality assessment impact factor corresponding to the concentration of each pollutant is obtained by inputting the concentration of each pollutant into the mapping set, where the mapping relationship is a many-to-one or one-to-one relationship, and in this embodiment, the value range of the impact factor is between 0 and 1.

[0064] In this embodiment, the pH value is an indicator for measuring the acidity and alkalinity of water bodies, reflecting the acid-base state of the water bodies, and can be obtained by measurement using a pH meter or test paper; the dissolved oxygen concentration is an indicator for measuring the oxygen content in water bodies and can be measured using a dissolved oxygen analyzer; the various pollutants include mercury, cadmium, amino acids, proteins, aldehydes, ketones, cesium, and sand. Among them, the mercury content can be obtained by measurement using an atomic fluorescence photometer, the cadmium content can be obtained by electrochemical analysis, the amino acid content can be obtained by ninhydrin colorimetry, the protein content can be obtained by protein analysis, the contents of aldehydes and ketones can be measured using gas chromatography or liquid chromatography, the cesium content can be obtained by atomic absorption spectrophotometry, and the sand content can be directly obtained by weighing or volumetric methods. Among them, there is a correlation among the pH value, the dissolved oxygen concentration, and the concentrations of various pollutants. The higher the pH value, the lower the redox potential usually is, which may lead to an increase in the content of reducing substances or organic pollutants in the wastewater, thereby reducing the dissolved oxygen concentration. On the contrary, the lower the pH value, the higher the redox potential, indicating that the concentration of organic pollutants in the wastewater may be lower, and the concentration of dissolved oxygen or oxidizing substances is higher. In addition, there are heavy metal pollutants among the various pollutants. The presence of mercury and cadmium, for example, interferes with the respiration of microorganisms and may reduce the dissolved oxygen concentration in the water body. Since chemical reactions will occur with other substances in the water body, it will also affect the pH value of the water body; inorganic pollutants such as cesium and sand may affect the turbidity of the water body, thereby affecting the diffusion of dissolved oxygen and the growth of microorganisms. By comprehensively analyzing the pH value, the dissolved oxygen concentration, and the concentrations of various pollutants, the quality status of the water body can be comprehensively understood, which helps to identify possible pollution sources and pollution types in the water body and provides a basis for formulating targeted treatment measures.

[0065] Further, a water service status evaluation value is obtained through comprehensive analysis: the hydrological data includes the water flow velocity and the water level change rate; the reference water flow velocity, the allowable deviation water flow velocity, the critical water level change rate, the critical water quality evaluation value, and the critical equipment working environment evaluation value are obtained from the water service detection database; the water service status evaluation value is obtained through comprehensive analysis based on the water quality evaluation value, the equipment working environment evaluation value, and the hydrological data.

[0066] In this embodiment, the water flow velocity can be measured by using a flow velocity meter (such as an impeller flow velocity meter, a Doppler flow velocity meter, a photocurrent flow velocity meter, etc.). The rate of change of water level can be monitored in real time using a water level gauge or a water level sensor. An excessive rate of change of water level may affect the stability of the water supply system. For example, in the case of a river or a reservoir as a water source, if the water level rises or falls rapidly, it may cause a change in the position of the water intake, thereby affecting the continuity and stability of water supply. Therefore, the greater the rate of change of water level, the smaller the water service status evaluation value; the water quality evaluation value and the equipment working environment evaluation value can be obtained through the above-mentioned relevant calculation formulas. These parameters are also correlated to a certain extent. For example, when the water quality deteriorates, it may increase the burden on the equipment, accelerate the aging and damage of the equipment, thereby reducing the equipment working environment evaluation value; a faster water flow velocity helps the diffusion and degradation of pollutants and improves the self-purification ability of the water body. On the contrary, too slow a water flow velocity may cause pollutants to accumulate in the water body and reduce the water quality evaluation value; frequent or drastic changes in water level may impact the water treatment equipment and affect the stability and safety of the equipment. By comprehensively analyzing the water quality evaluation value, the equipment working environment evaluation value, the water flow velocity, and the rate of change of water level, the water service status evaluation value can be accurately obtained, which reflects the overall operation status of the water service system, helps to timely discover problems existing in the water service system, and provides a basis for formulating targeted solutions.

[0067] Furthermore, the method for obtaining the water service status evaluation value is as follows:

[0068]

[0069] In the formula, ξS represents the water service status evaluation value, α1 represents the influencing factor of the water service monitoring equipment status corresponding to the water flow velocity, α2 represents the influencing factor of the water service monitoring equipment status corresponding to the rate of change of water level, α3 represents the influencing factor of the water service monitoring equipment status corresponding to the monitoring equipment environment, α4 represents the influencing factor of the water service monitoring equipment status corresponding to the water quality, V1 represents the water flow velocity, V0 represents the reference water flow velocity, V2 represents the allowable deviation water flow velocity, C1 represents the rate of change of water level, C0 represents the critical rate of change of water level, ζE1 represents the equipment working environment evaluation value, ζE0 represents the critical equipment working environment evaluation value, ξQ1 represents the water quality evaluation value, ξQ0 represents the critical water quality evaluation value, e is the natural constant, where i is the monitoring equipment number, i = 1, 2, 3,..., N, and N is the number of monitoring equipment.

[0070] In this embodiment, α1, α2, α3, and α4 are respectively the impact factors for water service status evaluation corresponding to the water flow velocity, water level change rate, equipment working environment, and water quality preset in the water service detection database, representing the numerical values of the impact degrees of the water flow velocity, water level change rate, equipment working environment, and water quality on the water service status evaluation value, which can be directly obtained from the water service detection database during use. For example, the water flow velocity forms a mapping set with the impact factor for water service status evaluation corresponding to the preset water flow velocity in the water service detection database, and the impact factor for water service status evaluation corresponding to the water flow velocity is obtained by inputting the water flow velocity into the mapping set; the water level change rate forms a mapping set with the impact factor for water service status evaluation corresponding to the preset water level change rate in the water service detection database, and the impact factor for water service status evaluation corresponding to the water level change rate is obtained by inputting the water level change rate into the mapping set; the equipment working environment evaluation value forms a mapping set with the impact factor for water service status evaluation corresponding to the preset equipment working environment in the water service detection database, and the impact factor for water service status evaluation corresponding to the equipment working environment is obtained by inputting the equipment working environment evaluation value into the mapping set; the water quality evaluation value forms a mapping set with the impact factor for water service status evaluation corresponding to the preset water quality in the water service detection database, and the impact factor for water service status evaluation corresponding to the water quality is obtained by inputting the water quality evaluation value into the mapping set, where the mapping relationship is a many-to-one or one-to-one relationship, and the value range of the impact factor in this embodiment is between 0 and 1.

[0071] Further, the steps for evaluation feedback based on the water service status evaluation value include: obtaining the water service status evaluation threshold from the water service detection database; comparing the water service status evaluation value with the water service status evaluation threshold. If the water service status evaluation value is greater than or equal to the water service status evaluation threshold, the water service status is evaluated as good; if the water service status evaluation value is less than the water service status evaluation threshold, the water service status is evaluated as abnormal, and adjustment feedback is performed.

[0072] In this embodiment, the water service status evaluation threshold is a standard value or boundary value used to measure whether the water service status is good. By setting the water service status evaluation threshold, a standardized evaluation system can be established, making the evaluation of the water service status more objective, accurate, and comparable. This helps to eliminate subjectivity and uncertainty in the evaluation process and improve the reliability and effectiveness of the evaluation results. When the water service status evaluation value is less than the water service status evaluation threshold, it indicates that the water service status is poor, and there may be potential problems or risks, which need to be adjusted and fed back in a timely manner. The water quality evaluation value, the equipment working environment evaluation value, and the hydrological data can be compared with their respective critical values, and corresponding adjustment measures can be formulated based on the comparison results to improve the water service status. This helps to avoid the further deterioration and expansion of problems and ensure the normal operation of the water service system and the water supply safety. For example, when it is found that the water quality evaluation value is lower than the critical water quality evaluation value, measures such as strengthening water quality monitoring, optimizing the water treatment process, and increasing water treatment equipment can be taken to improve the water quality; when it is found that the equipment working environment evaluation value is lower than the critical equipment working environment evaluation value, the maintenance and upkeep of the equipment can be strengthened to improve the performance and stability of the equipment; when the absolute value of the difference between the water flow velocity and the reference water flow velocity is greater than or equal to the allowable deviation water flow velocity, the diameter of the water outlet can be changed by replacing the pipeline at the water pump outlet, thereby affecting the water flow velocity. The smaller the diameter of the water outlet, the slower the water flow velocity usually is, and vice versa, the larger the diameter of the water outlet, the faster the water flow velocity; when the rate of change of the water level is greater than or equal to the critical rate of change of the water level, the water level can be controlled by adjusting the flood discharge volume, or the rate of change of the water level can be slowed down by building dams, adjusting the river course, etc.

[0073] Furthermore, the water service dynamic monitoring method based on digital twin is characterized in that: the specific steps include: obtaining the equipment working environment data, the performance data of each monitoring device, and the water service data, where the water service data includes hydrological data and water quality data; comprehensively analyzing the equipment working environment data to obtain the equipment working environment evaluation value, comprehensively analyzing the performance data of each monitoring device to obtain the performance evaluation value of each monitoring device, comprehensively analyzing the equipment working environment evaluation value and the performance evaluation value of each monitoring device to obtain the status evaluation value of each monitoring device, and performing evaluation feedback based on the status evaluation value of each monitoring device; comprehensively analyzing the water quality data to obtain the water quality evaluation value, and finally comprehensively analyzing the water quality evaluation value, the equipment working environment evaluation value, and the hydrological data to obtain the water service status evaluation value, and performing evaluation feedback based on the water service status evaluation value.

[0074] In summary, in this embodiment, the equipment working environment evaluation value is obtained through comprehensive analysis of the equipment working environment data, the performance evaluation values of each monitoring device are obtained through comprehensive analysis of the performance data of each monitoring device, the status evaluation values of each monitoring device are obtained through comprehensive analysis of the equipment working environment evaluation value and the performance evaluation values of each monitoring device, and evaluation feedback is carried out according to the status evaluation values of each monitoring device; the water quality evaluation value is obtained through comprehensive analysis of the water quality data, and finally the water service status evaluation value is obtained through comprehensive analysis of the water quality evaluation value, the equipment working environment evaluation value, and the hydrological data, and evaluation feedback is carried out according to the water service status evaluation value, so as to comprehensively and accurately grasp the status and change trends of each key element in the water service system, and thus effectively solve the problem of inaccurate evaluation existing in the monitoring and evaluation of the water service system.

[0075] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0076] The present invention is described with reference to the flowcharts and / or block diagrams of systems, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, and the combination of processes and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0077] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means realizes the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0078] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus, causing a series of operational steps to be performed on the computer or other programmable apparatus to generate a computer implemented process, so that the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one flow Figure 1 one flow or more flows and / or blocks Figure 1 or steps for implementing the functions specified in one block or more blocks.

[0079] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made by those skilled in the art once they learn of the basic creative concept. Therefore, the appended claims are intended to be construed to cover the preferred embodiments as well as all changes and modifications falling within the scope of the present invention.

[0080] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A water service dynamic monitoring system based on digital twin, characterized in that, Including: A data acquisition module, a device data processing module, a water service data processing module, and a water service detection database; Among them, the data acquisition module is used to acquire device working environment data, the performance data of each monitoring device, and water service data, where the water service data includes hydrological data and water quality data; The device data processing module is used to comprehensively analyze the device working environment data to obtain a device working environment evaluation value, comprehensively analyze the performance data of each monitoring device to obtain the performance evaluation value of each monitoring device, comprehensively analyze the device working environment evaluation value and the performance evaluation value of each monitoring device to obtain the status evaluation value of each monitoring device, and perform evaluation feedback according to the status evaluation value of each monitoring device; The water service data processing module is used to comprehensively analyze the water quality data to obtain a water quality evaluation value, and finally comprehensively analyze the water quality evaluation value, the device working environment evaluation value, and the hydrological data to obtain a water service status evaluation value, and perform evaluation feedback according to the water service status evaluation value; The step of performing evaluation feedback according to the status evaluation value of each monitoring device includes: Obtaining a status evaluation threshold from the water service detection database; Comparing the status evaluation value of each monitoring device with the status evaluation threshold. If the status evaluation value of a certain monitoring device is less than the status evaluation threshold, the detection device is marked as a non-conforming device and feedback adjustment is performed. If the status evaluation value of a certain monitoring device is greater than or equal to the status evaluation threshold, the detection device is marked as a conforming device; The comprehensive analysis to obtain the water service status evaluation value: The hydrological data includes water flow velocity and water level change rate; Obtaining a reference water flow velocity, an allowable deviation water flow velocity, a critical water level change rate, a critical water quality evaluation value, and a critical device working environment evaluation value from the water service detection database; Comprehensively analyzing the water quality evaluation value, the device working environment evaluation value, and the hydrological data to obtain a water service status evaluation value; The obtaining method of the water service status evaluation value is as follows: In the formula, ξS represents the water service status evaluation value, α1 represents the influence factor of the water service monitoring device status evaluation corresponding to the water flow velocity, α2 represents the influence factor of the water service monitoring device status evaluation corresponding to the water level change rate, α3 represents the influence factor of the water service monitoring device status evaluation corresponding to the monitoring device environment, α4 represents the influence factor of the water service monitoring device status evaluation corresponding to the water quality, V1 represents the water flow velocity, V0 represents the reference water flow velocity, V2 represents the allowable deviation water flow velocity, C1 represents the water level change rate, C0 represents the critical water level change rate, ζE1 represents the device working environment evaluation value, ζE0 represents the critical device working environment evaluation value, ξQ1 represents the water quality evaluation value, ξQ0 represents the critical water quality evaluation value, e is the natural constant, where i is the monitoring device number, i = 1, 2, 3,..., N, and N is the number of monitoring devices.

2. The water affairs dynamic monitoring system based on digital twin according to claim 1, characterized in that: The step of comprehensively analyzing the device working environment data to obtain the device working environment evaluation value includes: The device working environment data includes environmental temperature, environmental humidity, and environmental air pressure; Obtain the reference ambient temperature, allowable deviation ambient temperature, reference ambient humidity, allowable deviation ambient humidity, reference ambient pressure value and allowable deviation ambient pressure value from the water service inspection database; Comprehensive analysis is performed to obtain the equipment working environment assessment value.

3. The water service dynamic monitoring system based on digital twin as claimed in claim 1, wherein: The step of obtaining the performance evaluation value of each monitoring device based on comprehensive analysis of the performance data of each monitoring device includes: The performance data of each monitoring device, including the cumulative operating time, noise intensity and vibration frequency of each monitoring device; Obtain critical cumulative operating time, reference noise intensity, allowable deviation noise intensity, reference vibration frequency and allowable deviation vibration frequency from the water service inspection database; Comprehensive analysis is performed to obtain the performance evaluation value of each monitoring device.

4. The water affairs dynamic monitoring system based on digital twin according to claim 1, characterized in that: The step of obtaining the status evaluation value of each monitoring device based on the comprehensive analysis of the device working environment evaluation value and the performance evaluation value of each monitoring device includes: Obtain critical equipment working environment assessment values and critical performance assessment values from the water service inspection database; Comprehensive analysis is performed to obtain the status assessment value of each monitoring device.

5. The water affairs dynamic monitoring system based on digital twin according to claim 1, characterized in that: The step of obtaining a water quality assessment value based on comprehensive analysis of water quality data includes: The water quality data includes pH value, dissolved oxygen concentration and concentration of various pollutants; Obtain reference pH value, allowable deviation pH value, reference dissolved oxygen concentration, allowable deviation dissolved oxygen concentration and concentrations of critical pollutants from the water service testing database; The water quality assessment value is obtained through comprehensive analysis.

6. The water affairs dynamic monitoring system based on digital twin according to claim 1, characterized in that: The step of providing evaluation feedback based on the water service status evaluation value includes: Obtaining water service status assessment thresholds from a water service detection database; The water affairs status assessment value is compared with the water affairs status assessment threshold. If the water affairs status assessment value is greater than or equal to the water affairs status assessment threshold, the water affairs status is assessed as good. If the water affairs status assessment value is less than the water affairs status assessment threshold, the water affairs status is assessed as abnormal and adjustment feedback is performed.

7. A water service dynamic monitoring method based on digital twin, which is applied to the water service dynamic monitoring system based on digital twin according to any one of claims 1-6, characterized in that :Specific steps include: Obtain equipment working environment data, performance data of each monitoring device, and water service data, where water service data includes hydrological data and water quality data; The equipment working environment evaluation value is obtained by comprehensive analysis of the equipment working environment data; the performance evaluation value of each monitoring device is obtained by comprehensive analysis of the performance data of each monitoring device; the status evaluation value of each monitoring device is obtained by comprehensive analysis of the equipment working environment evaluation value and the performance evaluation value of each monitoring device; and evaluation feedback is provided based on the status evaluation value of each monitoring device; The water quality assessment value is obtained based on the comprehensive analysis of water quality data. Finally, the water service status assessment value is obtained based on the comprehensive analysis of the water quality assessment value, equipment working environment assessment value and hydrological data. Evaluation feedback is provided based on the water service status assessment value.

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