Intelligent operation and maintenance monitoring system, method and equipment based on water pumping station

Abstract

The invention provides an intelligent operation and maintenance monitoring system, method and equipment based on a water pumping station. The multi-parameter integrated sensor module integrally packages the water conservancy sensor and preliminarily processes data, multi-parameter synchronous measurement can be achieved, and the installation and maintenance cost is reduced. And the data analysis and prediction module receives the processed data, analyzes the equipment state and the like through a fusion algorithm, and assists in maintenance and management decision. And the remote transmission monitoring module receives data of each module and transmits the data to a remote monitoring center, so that operators can conveniently adjust the operation state in real time. The intelligent control module automatically adjusts the frequency of the water pump through intelligent speed regulation control according to real-time monitoring data. Multi-parameter integrated measurement is efficient and convenient; the data fusion analysis can accurately grasp the equipment condition; remote monitoring and adjustment can break through regional restrictions and respond in time; the intelligent speed regulation control realizes energy conservation and ensures stable operation, and the intelligent level and the operation efficiency based on operation and maintenance monitoring of the water pumping station are integrally improved.

Description

Technical Field

[0001] The present invention belongs to the field of computer technology, and in particular relates to a system, method and equipment for intelligent operation and maintenance monitoring of a water pump station. Background Art

[0002] The current water pump station operation and maintenance monitoring system generally has limited monitoring capabilities and cannot efficiently predict and diagnose. It can usually only monitor a few key parameters, such as pressure and flow. This makes the understanding of the operating status of the water pump station not comprehensive enough, and it is difficult to find some potential problems. For example, the inability to detect slight vibration changes in the equipment, abnormal temperature increases, etc. in time may cause equipment failures to gradually worsen without being detected. The diagnosis of faults mainly relies on experience judgment and simple instrument detection, which is not very accurate. Misjudgment or missed judgment is prone to occur, affecting the efficiency and effectiveness of maintenance. For example, the overload of the motor may be misjudged as a power supply problem, resulting in the wrong maintenance direction and a waste of time and resources. Summary of the invention

[0003] The present invention solves the technical problem that adaptive adjustment cannot be performed according to the actual operation status and environmental changes of the water conservancy system by proposing an intelligent operation and maintenance monitoring system based on a water pump station.

[0004] One of the embodiments of the present invention provides an intelligent operation and maintenance monitoring system based on a water pump station, including a multi-parameter integrated sensor module, a data analysis and prediction module, an intelligent control module and a remote transmission monitoring module; the multi-parameter integrated sensor module integrates and packages a number of water conservancy sensors in the multi-parameter integrated sensor module, and performs preliminary parameter processing according to the signals of the water conservancy sensors; the data analysis and prediction module is used to receive the water conservancy parameters after preliminary processing, perform fusion processing on the parameters according to the data fusion algorithm, analyze the equipment operation status, failure mode and trend, and provide decision support for equipment maintenance and management; the remote transmission monitoring module is used to receive data from the multi-parameter integrated sensor module, the data analysis and prediction module and the intelligent control module, and transmit the received data to a remote monitoring center through the network, and the operating personnel make real-time adjustments to the operation status of the water pump station through the monitoring data; the intelligent control module adopts intelligent speed control to automatically adjust the operation frequency of the water pump according to the real-time data transmission and monitoring of the water pump station.

[0005] In one of the embodiments, the multi-parameter integrated sensor module also includes: a multi-parameter integrated sensor unit, which is used to integrate and package various types of water conservancy sensors in the multi-parameter integrated sensor module; a signal processing unit, which outputs an analog signal after signal amplification and signal filtering based on the sensor water conservancy data collected by the multi-parameter integrated sensor unit, and converts the analog signal into a digital signal according to analog-to-digital conversion and outputs it.

[0006] In one of the embodiments, the data analysis and prediction module also includes: a first data receiving unit, responsible for receiving the water parameters after preliminary processing from the multi-parameter integrated sensor module; a machine learning algorithm unit, including a machine learning algorithm for equipment failure prediction; a model building and training unit: extracting features related to equipment failure from the sorted historical data, using historical data and the selected machine learning algorithm to build, and using the extracted feature vectors and corresponding equipment failure labels as training data, inputting them into the established model for training by adjusting the model parameters, and training the equipment failure prediction model; a prediction result output unit: outputting the results such as the time and type of water pump failure predicted by the model, so as to provide decision support for equipment maintenance and management.

[0007] In one of the embodiments, the remote transmission monitoring module also includes: a second data receiving unit for receiving data from the multi-parameter integrated sensor module, the data analysis and prediction module and the intelligent control module; a network transmission unit for transmitting the received data to the remote monitoring center via the network; and a display interaction unit for displaying the received data at the remote monitoring center for operators to view and operate, and to make real-time adjustments based on the operating status of the water pumping station.

[0008] The present invention also provides an embodiment including a method for intelligent operation and maintenance monitoring of a water pumping station, which is used for any intelligent operation and maintenance monitoring system of a water pumping station, including the steps of: multi-parameter sensor integration, integrating and packaging a plurality of hydraulic sensors into the multi-parameter integrated sensor module, and performing preliminary parameter processing according to the signals of the hydraulic sensors; hydraulic parameter analysis and prediction, receiving the hydraulic parameters after preliminary processing, performing fusion processing on the parameters according to a data fusion algorithm, analyzing the equipment operation status, failure mode and trend, and providing decision support for equipment maintenance and management; remote transmission monitoring by operating personnel based on the real-time working status of the water pumping station, receiving data from the multi-parameter integrated sensor module, the data analysis and prediction module and the intelligent control module, transmitting the received data to a remote monitoring center through a network, and the operating personnel making real-time adjustments to the operation status of the water pumping station through the monitoring data; and automatically adjusting the operation frequency of the water pump by using intelligent speed control based on the real-time data transmission and monitoring of the water pumping station.

[0009] In one of the embodiments, the preliminary processing step of the sensor signal also includes: integrating and packaging various types of water conservancy sensors in the multi-parameter integrated sensor module; outputting an analog signal after signal amplification and signal filtering based on the sensor water conservancy data collected by the multi-parameter integrated sensor unit, and converting the analog signal into a digital signal according to analog-to-digital conversion and outputting it.

[0010] In one of the embodiments, the water conservancy parameter analysis and prediction step also includes: receiving water conservancy parameters after preliminary processing from the multi-parameter integrated sensor module; extracting features related to equipment failure from the sorted historical data, using historical data and a selected machine learning algorithm to establish, and using the extracted feature vectors and corresponding equipment failure labels as training data, inputting them into the established model for training; and training the equipment failure prediction model by adjusting the model parameters; outputting results such as the time and type of water pump failure predicted by the model to provide decision support for equipment maintenance and management.

[0011] In one of the embodiments, the remote transmission monitoring step also includes: receiving data from the multi-parameter integrated sensor module, the data analysis and prediction module and the intelligent control module; transmitting the received data to a remote monitoring center via a network; displaying the received data at the remote monitoring center for viewing and operation by operators through a visual display, and making real-time adjustments based on the operating status of the water pump station.

[0012] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of any one of the methods described in the method for intelligent operation and maintenance monitoring of a water pumping station are implemented.

[0013] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of any one of the methods for intelligent operation and maintenance monitoring of a water pumping station.

[0014] The above embodiments provide a system, method and device for monitoring the intelligent operation and maintenance of a water pump station, which has the following beneficial effects:

[0015] The advantages of the multi-parameter integrated sensor module are outstanding. By integrating and packaging multiple water conservancy sensors, multi-parameter synchronous measurement is achieved, greatly improving the monitoring efficiency. On the one hand, the installation space of the sensor is reduced, avoiding the cluttered space and layout difficulties caused by the installation of multiple independent sensors. On the other hand, the wiring complexity is reduced, making the system more concise and stable, and reducing the risk of failure caused by complex wiring. At the same time, it also reduces the cost and maintenance difficulty of the system, and reduces the investment in manpower, material resources and time costs. The data analysis and prediction module provides powerful decision support for equipment maintenance and management. The data fusion algorithm is used to fuse the parameters, which can more accurately analyze the equipment operation status, failure mode and trend. Through the comprehensive analysis of historical data and real-time data, the possible failure of the equipment can be predicted in advance, so that the maintenance personnel have enough time to prepare countermeasures and avoid production interruption and loss caused by sudden equipment failure. Moreover, accurate failure mode analysis helps to quickly locate the root cause of the problem and improve maintenance efficiency. The remote transmission monitoring module breaks the geographical restrictions. The data of the multi-parameter integrated sensor module, data analysis and prediction module and intelligent control module can be transmitted to the remote monitoring center in a timely manner, so that the operators can monitor the operation status of the pump station anytime and anywhere. This greatly improves the flexibility and response speed of operation and maintenance. No matter where the operators are, as long as there is a network connection, they can make real-time adjustments based on the operating status of the water pump station. In an emergency, decisions can be made quickly to ensure the safe and stable operation of the system. The intelligent speed control function of the intelligent control module achieves a win-win situation of energy saving and stable operation. According to the real-time data transmission and monitoring of the water pump station, the operating frequency of the water pump is automatically adjusted, and the water supply capacity can be dynamically adjusted according to actual needs, avoiding energy waste. When the water consumption is low, the frequency is reduced to reduce energy consumption; when the water consumption is high, the frequency is increased to meet the demand. At the same time, the intelligent speed control can also make the water pump always work in the best operating state, extend the life of the equipment, and reduce maintenance costs. The various modules of this solution cooperate with each other to jointly improve the intelligence level and operation efficiency based on the operation and maintenance monitoring of the water pump station. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.

[0017] Figure 1 A block diagram of a water pump station intelligent operation and maintenance monitoring system provided by the first embodiment of the present invention

[0018] Figure 2A working step diagram of a method for intelligent operation and maintenance monitoring of a water pumping station provided in the first embodiment of the present invention;

[0019] Figure 3 A schematic diagram of the hardware structure of a water pump station intelligent operation and maintenance monitoring system provided in one embodiment of the present application of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] It should be noted that if the embodiments of the present invention involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative position relationship, movement status, etc. between the components in a certain specific posture. If the specific posture changes, the directional indication will also change accordingly.

[0022] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features limited to "first" and "second" may explicitly or implicitly include at least one of the features. In addition, if "and / or" or "and / or" appears in the full text, its meaning includes three parallel solutions. Taking "A and / or B" as an example, it includes solution A, solution B, or solutions that satisfy both A and B. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in this field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0023] The present invention solves the technical problem that adaptive adjustment cannot be performed according to the actual operation status and environmental changes of the water conservancy system by proposing an intelligent operation and maintenance monitoring system based on a water pump station.

[0024] Example 1

[0025] refer to Figure 1One embodiment of the present invention provides an intelligent operation and maintenance monitoring system based on a water pump station, including a multi-parameter integrated sensor module, a data analysis and prediction module, an intelligent control module and a remote transmission monitoring module; the multi-parameter integrated sensor module integrates and encapsulates a number of water conservancy sensors in the multi-parameter integrated sensor module, and performs preliminary parameter processing according to the signals of the water conservancy sensors; the data analysis and prediction module is used to receive the water conservancy parameters after preliminary processing, perform fusion processing on the parameters according to the data fusion algorithm, analyze the equipment operation status, failure mode and trend, and provide decision support for equipment maintenance and management; the remote transmission monitoring module is used to receive data from the multi-parameter integrated sensor module, the data analysis and prediction module and the intelligent control module, and transmit the received data to the remote monitoring center through the network, and the operating personnel make real-time adjustments based on the operation status of the water pump station through the monitoring data; the intelligent control module adopts intelligent speed control according to the real-time data transmission and monitoring of the water pump station to automatically adjust the operation frequency of the water pump.

[0026] In one of the embodiments, the multi-parameter integrated sensor module also includes: a multi-parameter integrated sensor unit, which is used to integrate and package various types of water conservancy sensors in the multi-parameter integrated sensor module; a signal processing unit, which outputs an analog signal after signal amplification and signal filtering based on the sensor water conservancy data collected by the multi-parameter integrated sensor unit, and converts the analog signal into a digital signal according to analog-to-digital conversion and outputs it.

[0027] The multi-parameter integrated sensor module in this example requires the step of sensor selection and integration. When designing the sensor integrated packaging unit, it is necessary to select a suitable hydraulic sensor according to the specific monitoring needs of the water pump station. For example, for pressure measurement, it is necessary to select a pressure sensor with high precision and good stability; for flow measurement, it may be necessary to select an electromagnetic, ultrasonic or turbine flow sensor according to different water flow conditions. Then, these sensors are integrated into a miniaturized packaging module through advanced micro-electromechanical system (MEMS) technology or integrated circuit technology. During the integration process, it is necessary to ensure that the sensors do not interfere with each other and that the performance of the sensors is not affected. The integrated packaging unit not only integrates sensors, but also processes and fuses the signals output by the sensors. The signal forms of the outputs of different types of sensors may be different. For example, the pressure sensor outputs an analog voltage signal, and the flow sensor may output a pulse signal. Therefore, it is necessary to design a special signal processing circuit to convert these different forms of signals into a unified data format for subsequent data processing and analysis. At the same time, in order to improve the accuracy and reliability of the data, signal fusion technology can be used to fuse the measurement results of multiple sensors to obtain more accurate water conservancy parameter values. The sensor integrated packaging unit needs to adopt reliable packaging technology to ensure that the sensor can work normally in harsh water conservancy environments. The packaging material should have characteristics such as waterproof, moisture-proof, and corrosion-resistant, and be able to protect the sensor from the influence of the external environment. At the same time, reliability design is also required. Considering the impact of factors such as temperature changes, vibrations, and electromagnetic interference on sensor performance, corresponding protective measures should be taken to improve the reliability and stability of the sensor. For example, a temperature compensation circuit can be added to the packaging module to eliminate the impact of temperature changes on the sensor measurement results; or shielding technology can be used to reduce the interference of electromagnetic interference on the sensor signal.

[0028] In one of the embodiments, the data analysis and prediction module also includes: a first data receiving unit, responsible for receiving the water parameters after preliminary processing from the multi-parameter integrated sensor module; a machine learning algorithm unit, including a machine learning algorithm for equipment failure prediction; a model building and training unit: extracting features related to equipment failure from the sorted historical data, using historical data and the selected machine learning algorithm to build, and using the extracted feature vectors and corresponding equipment failure labels as training data, inputting them into the established model for training by adjusting the model parameters, and training the equipment failure prediction model; a prediction result output unit: outputting the results such as the time and type of water pump failure predicted by the model, so as to provide decision support for equipment maintenance and management.

[0029] The data analysis and prediction module first collects a large number of historical water conservancy parameters and corresponding equipment failure records, including pressure, flow, temperature and other parameter values ​​when different types of failures occur, cleans and organizes the data, removes abnormal values ​​and erroneous data, and ensures the quality and reliability of the data. Features related to equipment failures are extracted from the organized historical data, such as the trend of pressure changes, the fluctuation range of flow, and the abnormal increase or decrease of temperature.

[0030] According to the data characteristics and problem requirements, select the appropriate machine learning algorithm, such as neural networks can handle complex nonlinear relationships, support vector machines are suitable for small sample data, etc. Use the selected algorithm to establish an equipment failure prediction model and determine the model's structure and parameters.

[0031] The extracted feature vectors and corresponding equipment failure labels are used as training data and input into the established model for training. By adjusting the model parameters, the model can predict the occurrence time and type of equipment failure as accurately as possible. The performance of the model can be evaluated by cross-validation and other methods to ensure the generalization ability of the model.

[0032] When new water conservancy parameters are transmitted from the multi-parameter integrated sensor module, the data analysis and prediction module receives and processes them in real time. The new data is input into the trained fault prediction model to predict whether the water pump is likely to fail and the type and time of the failure. The prediction results are output to equipment maintenance and management personnel to provide them with decision support. If a possible failure is predicted, maintenance measures can be taken in advance, such as arranging maintenance and replacing parts, to avoid equipment failure and reduce maintenance costs and downtime.

[0033] In one of the embodiments, the remote transmission monitoring module also includes: a second data receiving unit for receiving data from the multi-parameter integrated sensor module, the data analysis and prediction module and the intelligent control module; a network transmission unit for transmitting the received data to the remote monitoring center via the network; a display and interaction unit for displaying the received data at the remote monitoring center for operators to view and operate, and to make real-time adjustments based on the operating status of the water pump station.

[0034] In some embodiments of the remote transmission monitoring module, for fixed large water pumping stations, wired networks may have higher stability and transmission speed; while for some remote areas or water pumping stations with strong mobility, wireless networks are more flexible and convenient. For example, large water pumping stations in cities can use high-speed Ethernet connections, while small water pumping stations in mountainous areas can choose 4G or 5G wireless networks for data transmission. During the data transmission process, the network transmission unit needs to consider the security of the data. Data encryption technology can be used to prevent data from being stolen or tampered with. For example, SSL / TLS encryption protocol is used to encrypt and transmit data to ensure the security of data in the network. At the same time, access rights and identity authentication mechanisms can also be set, and only authorized users can access the data of the remote monitoring center to improve the security and confidentiality of the system.

[0035] Embodiment 2

[0036] refer to Figure 2 The present invention also provides an embodiment including a method for intelligent operation and maintenance monitoring of a water pumping station, which is used for any intelligent operation and maintenance monitoring system of a water pumping station, including the steps of: multi-parameter sensor integration, integrating and packaging a plurality of water conservancy sensors in the multi-parameter integrated sensor module, and performing preliminary parameter processing according to the signal of the water conservancy sensor; water conservancy parameter analysis and prediction, receiving the water conservancy parameters after preliminary processing, performing fusion processing on the parameters according to the data fusion algorithm, analyzing the equipment operation status, failure mode and trend, and providing decision support for equipment maintenance and management; operating personnel remotely transmit and monitor the real-time working status of the water pumping station, receiving data from the multi-parameter integrated sensor module, the data analysis and prediction module and the intelligent control module, transmitting the received data to the remote monitoring center through the network, and the operating personnel make real-time adjustments based on the operation status of the water pumping station through the monitoring data; based on the real-time data transmission and monitoring of the water pumping station, intelligent speed control is adopted to automatically adjust the operation frequency of the water pump.

[0037] In one of the embodiments, the preliminary processing step of the sensor signal also includes: integrating and packaging various types of water conservancy sensors in the multi-parameter integrated sensor module; outputting an analog signal after signal amplification and signal filtering based on the sensor water conservancy data collected by the multi-parameter integrated sensor unit, and converting the analog signal into a digital signal according to analog-to-digital conversion and outputting it.

[0038] In one of the embodiments, the water conservancy parameter analysis and prediction step also includes: receiving water conservancy parameters after preliminary processing from the multi-parameter integrated sensor module; extracting features related to equipment failure from the sorted historical data, using historical data and a selected machine learning algorithm to establish, and using the extracted feature vectors and corresponding equipment failure labels as training data, inputting them into the established model for training; and training the equipment failure prediction model by adjusting the model parameters; outputting results such as the time and type of water pump failure predicted by the model to provide decision support for equipment maintenance and management.

[0039] In one of the embodiments, the remote transmission monitoring step also includes: receiving data from the multi-parameter integrated sensor module, the data analysis and prediction module and the intelligent control module; transmitting the received data to a remote monitoring center via a network; displaying the received data at the remote monitoring center for viewing and operation by operators through a visual display, and making real-time adjustments based on the operating status of the water pump station.

[0040] Embodiment 3

[0041] refer to Figure 3 The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of any one of the methods described in the method for intelligent operation and maintenance monitoring of a water pumping station are implemented.

[0042] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements any step of a method for intelligent operation and maintenance monitoring of a water pumping station.

[0043] The above embodiments provide a system, method and device for monitoring the intelligent operation and maintenance of a water pump station, which has the following beneficial effects:

[0044] The advantages of the multi-parameter integrated sensor module are outstanding. By integrating and packaging multiple water conservancy sensors, multi-parameter synchronous measurement is achieved, greatly improving the monitoring efficiency. On the one hand, the installation space of the sensor is reduced, avoiding the cluttered space and layout difficulties caused by the installation of multiple independent sensors. On the other hand, the wiring complexity is reduced, making the system more concise and stable, and reducing the risk of failure caused by complex wiring. At the same time, it also reduces the cost and maintenance difficulty of the system, and reduces the investment in manpower, material resources and time costs. The data analysis and prediction module provides powerful decision support for equipment maintenance and management. The data fusion algorithm is used to fuse the parameters, which can more accurately analyze the equipment operation status, failure mode and trend. Through the comprehensive analysis of historical data and real-time data, the possible failure of the equipment can be predicted in advance, so that the maintenance personnel have enough time to prepare countermeasures and avoid production interruption and loss caused by sudden equipment failure. Moreover, accurate failure mode analysis helps to quickly locate the root cause of the problem and improve maintenance efficiency. The remote transmission monitoring module breaks the geographical restrictions. The data of the multi-parameter integrated sensor module, data analysis and prediction module and intelligent control module can be transmitted to the remote monitoring center in a timely manner, so that the operators can monitor the operation status of the pump station anytime and anywhere. This greatly improves the flexibility and response speed of operation and maintenance. No matter where the operators are, as long as there is a network connection, they can make real-time adjustments based on the operating status of the water pump station. In an emergency, decisions can be made quickly to ensure the safe and stable operation of the system. The intelligent speed control function of the intelligent control module achieves a win-win situation of energy saving and stable operation. According to the real-time data transmission and monitoring of the water pump station, the operating frequency of the water pump is automatically adjusted, and the water supply capacity can be dynamically adjusted according to actual needs, avoiding energy waste. When the water consumption is low, the frequency is reduced to reduce energy consumption; when the water consumption is high, the frequency is increased to meet the demand. At the same time, the intelligent speed control can also make the water pump always work in the best operating state, extend the life of the equipment, and reduce maintenance costs. The various modules of this solution cooperate with each other to jointly improve the intelligence level and operation efficiency based on the operation and maintenance monitoring of the water pump station.

[0045] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. All equivalent structural changes made by using the contents of the present invention specification and drawings under the inventive concept of the present invention, or directly / indirectly applied in other related technical fields are included in the patent protection scope of the present invention.

Claims

1. A water pump station intelligent operation and maintenance monitoring system, characterized in that: It includes multi-parameter integrated sensor module, data analysis and prediction module, intelligent control module and remote transmission monitoring module; The multi-parameter integrated sensor module integrates and packages a plurality of water conservancy sensors in the multi-parameter integrated sensor module, and performs preliminary parameter processing according to the signals of the water conservancy sensors; The data analysis and prediction module is used to receive the water conservancy parameters after preliminary processing, perform fusion processing on the parameters according to the data fusion algorithm, analyze the equipment operation status, failure mode and trend, and provide decision support for equipment maintenance and management; The remote transmission monitoring module is used to receive data from the multi-parameter integrated sensor module, the data analysis and prediction module, and the intelligent control module, and transmit the received data to the remote monitoring center through the network, so that the operating personnel can make real-time adjustments to the operating status of the water pump station through the monitoring data; The intelligent control module adopts intelligent speed control to automatically adjust the operating frequency of the water pump based on real-time data transmission and monitoring of the water pump station.

2. The intelligent operation and maintenance monitoring system for water pumping stations according to claim 1 is characterized in that: The multi-parameter integrated sensor module also includes: A multi-parameter integrated sensor unit is used to integrate and package various types of water conservancy sensors into the multi-parameter integrated sensor module; The signal processing unit outputs an analog signal after signal amplification and signal filtering according to the sensor water conservancy data collected by the multi-parameter integrated sensor unit, and converts the analog signal into a digital signal according to analog-to-digital conversion and outputs it.

3. The intelligent operation and maintenance monitoring system for water pumping stations according to claim 1 is characterized in that: The data analysis and prediction module also includes: The first data receiving unit is responsible for receiving the water conservancy parameters after preliminary processing from the multi-parameter integrated sensor module; A machine learning algorithm unit, which includes a machine learning algorithm for equipment failure prediction; Model building and training unit: extract features related to equipment failure from the sorted historical data, use historical data and the selected machine learning algorithm to build, use the extracted feature vectors and corresponding equipment failure labels as training data, input them into the established model for training, and train the equipment failure prediction model by adjusting the model parameters; Prediction result output unit: outputs the results such as the time and type of water pump failure predicted by the model to provide decision support for equipment maintenance and management.

4. The intelligent operation and maintenance monitoring system for water pumping stations according to claim 1 is characterized in that: The remote transmission monitoring module also includes: A second data receiving unit, used to receive data from the multi-parameter integrated sensor module, the data analysis and prediction module and the intelligent control module; A network transmission unit transmits the received data to a remote monitoring center via the network; The display interaction unit displays the received data in the remote monitoring center for operators to view and operate, and make real-time adjustments based on the operating status of the water pumping station.

5. A method for monitoring intelligent operation and maintenance of a water pumping station, used in the intelligent operation and maintenance monitoring system of a water pumping station according to any one of claims 1 to 4, characterized in that: Includes steps: Multi-parameter sensor integration: several water conservancy sensors are integrated and packaged into a multi-parameter integrated sensor module, and preliminary parameter processing is performed based on the signals of the water conservancy sensors; Water conservancy parameter analysis and prediction: receiving the water conservancy parameters after preliminary processing, fusing the parameters according to the data fusion algorithm, analyzing the equipment operation status, failure mode and trend, and providing decision support for equipment maintenance and management; The operator remotely transmits and monitors the real-time working status of the water pump station, receives data from the multi-parameter integrated sensor module, the data analysis and prediction module, and the intelligent control module, and transmits the received data to the remote monitoring center through the network. The operator makes real-time adjustments to the operating status of the water pump station based on the monitoring data; Based on real-time data transmission and monitoring of the water pump station, intelligent speed control is adopted to automatically adjust the operating frequency of the water pump.

6. The method for monitoring water pump station intelligent operation and maintenance according to claim 5 is characterized in that: Also includes: Integrate and package various types of water conservancy sensors into the multi-parameter integrated sensor module; According to the sensor water conservancy data collected by the multi-parameter integrated sensor unit, an analog signal is output after signal amplification and signal filtering processing, and the analog signal is converted into a digital signal according to analog-to-digital conversion and output.

7. The method for monitoring water pump station intelligent operation and maintenance according to claim 5, characterized in that: The water conservancy parameter analysis and prediction step also includes: Receiving water conservancy parameters after preliminary processing from a multi-parameter integrated sensor module; Extract features related to equipment failure from the collated historical data, use the historical data and the selected machine learning algorithm to build, use the extracted feature vectors and the corresponding equipment failure labels as training data, input them into the established model for training, and train the equipment failure prediction model by adjusting the model parameters; The model predicts the time and type of water pump failure and other results, providing decision support for equipment maintenance and management.

8. The method for monitoring water pump station intelligent operation and maintenance according to claim 5 is characterized in that: The remote transmission monitoring step also includes: Receiving data from the multi-parameter integrated sensor module, the data analysis and prediction module, and the intelligent control module; Transmit the received data to the remote monitoring center via the network; The received data is displayed in the remote monitoring center and visualized for operators to review and operate, so that real-time adjustments can be made based on the operating status of the pump station.

9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for intelligent operation and maintenance monitoring of a water pumping station according to any one of claims 5 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for intelligent operation and maintenance monitoring of a water pumping station according to any one of claims 5 to 8 are implemented.

Images